From b459b478676207994226e65cfbd3c3bae3affe56 Mon Sep 17 00:00:00 2001 From: Ranjan Shrestha Date: Thu, 7 Mar 2024 15:37:21 +0545 Subject: [PATCH 1/6] topicmodel module updated to generate short topic using gpt3.5; --- handlers/ecs/topicmodeling/app.py | 24 +- handlers/ecs/topicmodeling/poetry.lock | 1452 ++++++++++++++--- handlers/ecs/topicmodeling/pyproject.toml | 6 +- .../ecs/topicmodeling/topic_generator_llm.py | 88 + 4 files changed, 1359 insertions(+), 211 deletions(-) create mode 100644 handlers/ecs/topicmodeling/topic_generator_llm.py diff --git a/handlers/ecs/topicmodeling/app.py b/handlers/ecs/topicmodeling/app.py index 0021b68..dde249e 100644 --- a/handlers/ecs/topicmodeling/app.py +++ b/handlers/ecs/topicmodeling/app.py @@ -13,6 +13,7 @@ from pydantic import BaseModel from botocore.exceptions import ClientError from topic_generator import TopicGenerator +from topic_generator_llm import TopicGenerationLLM from nlp_modules_utils import ( Database, StateHandler, @@ -223,9 +224,25 @@ def select_most_relevant_excerpts(self, df): """ Select only the most relevant excerpts if it exceeds the cluster size """ - df.set_index("entry_id", inplace=True) - df_per_topic_nlargest = df.groupby("Topic")["Probability"].nlargest(self.cluster_size).reset_index() - return df_per_topic_nlargest.groupby("Topic")["entry_id"].apply(list).to_dict() + df_per_topic_nlargest = df.groupby("Topic").apply(pd.DataFrame.nlargest, n=self.cluster_size, columns='Probability').reset_index(drop=True) + df_per_topic_nlargest["Representation"] = df_per_topic_nlargest.Representation.apply(", ".join) + data_json = json.loads( + df_per_topic_nlargest.groupby("Topic")[["Document", "Representation", "entry_id"]] + .apply(lambda x: x.to_dict('list')).to_json() + ) + for v in data_json.values(): + v["Representation"] = " ".join(set(v["Representation"])) + new_df = pd.DataFrame.from_dict(data_json, orient="index") + new_df["label"] = new_df.apply(self.generate_llm_topic, axis=1) + new_df.drop(columns=["Representation", "Document"], inplace=True) + return new_df.to_dict(orient="index") + + def generate_llm_topic(self, x: pd.DataFrame): + """ + Generate the short topic using LLM based on keywords + """ + topic_generation = TopicGenerationLLM(x["Document"], x["Representation"]) + return topic_generation.topic_generator_handler() def dispatch_results(self, status, presigned_url=None): """ @@ -305,6 +322,7 @@ def __call__(self): topics_dict = self.select_most_relevant_excerpts(df_merged) else: topics_dict = {} + date_today = date.today().isoformat() try: presigned_url = upload_to_s3( diff --git a/handlers/ecs/topicmodeling/poetry.lock b/handlers/ecs/topicmodeling/poetry.lock index d93b5ed..1fa0c65 100644 --- a/handlers/ecs/topicmodeling/poetry.lock +++ b/handlers/ecs/topicmodeling/poetry.lock @@ -1,15 +1,127 @@ # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +[[package]] +name = "aiohttp" +version = "3.9.3" +description = 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["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" -python-versions = ">=3.8" -content-hash = "54b6c51adbe824c64c277d834f1b9faa17846526e20220b299e0fd35ad9fb719" +python-versions = ">=3.8.1,<4.0" +content-hash = "9dca2210451db83b56cce08bfbd538aed7f9e2fe08dc7cd45ff396b75c4dcef1" diff --git a/handlers/ecs/topicmodeling/pyproject.toml b/handlers/ecs/topicmodeling/pyproject.toml index 74e47c7..91110e9 100644 --- a/handlers/ecs/topicmodeling/pyproject.toml +++ b/handlers/ecs/topicmodeling/pyproject.toml @@ -5,11 +5,15 @@ description = "" authors = ["dev Date: Thu, 7 Mar 2024 15:40:06 +0545 Subject: [PATCH 2/6] added the openapi key for topic generation pulled from ssm parameters as env var; --- main.tf | 1 + modules/ecsmodules/topicmodeling/ecs.tf | 4 ++++ modules/ecsmodules/topicmodeling/variables.tf | 1 + modules/secrets/outputs.tf | 8 ++++++++ modules/secrets/ssm.tf | 8 ++++++++ 5 files changed, 22 insertions(+) diff --git a/main.tf b/main.tf index af40980..128e2d5 100644 --- a/main.tf +++ b/main.tf @@ -194,6 +194,7 @@ module "topicmodel" { ssm_db_password_arn = module.secrets.ssm_db_password_arn ssm_db_port_arn = module.secrets.ssm_db_port_arn ssm_sentry_dsn_url_arn = module.secrets.ssm_sentry_dsn_url_arn + ssm_openai_api_key_arn = var.environment == "staging" ? module.secrets.ssm_topicmodel_openai_api_key_staging_arn : module.secrets.ssm_topicmodel_openai_api_key_prod_arn # db table db_table_name = var.db_table_name diff --git a/modules/ecsmodules/topicmodeling/ecs.tf b/modules/ecsmodules/topicmodeling/ecs.tf index def1e7c..e558a2a 100644 --- a/modules/ecsmodules/topicmodeling/ecs.tf +++ b/modules/ecsmodules/topicmodeling/ecs.tf @@ -80,6 +80,10 @@ resource "aws_ecs_task_definition" "task-def" { { "name": "SENTRY_DSN", "valueFrom": "${var.ssm_sentry_dsn_url_arn}" + }, + { + "name": "OPENAI_API_KEY", + "valueFrom": "${var.ssm_openai_api_key_arn}" } ] } diff --git a/modules/ecsmodules/topicmodeling/variables.tf b/modules/ecsmodules/topicmodeling/variables.tf index 6e5df92..ba5d9ed 100644 --- a/modules/ecsmodules/topicmodeling/variables.tf +++ b/modules/ecsmodules/topicmodeling/variables.tf @@ -51,6 +51,7 @@ variable "ssm_db_username_arn" {} variable "ssm_db_password_arn" {} variable "ssm_db_port_arn" {} variable "ssm_sentry_dsn_url_arn" {} +variable "ssm_openai_api_key_arn" {} # db table variable "db_table_name" {} diff --git a/modules/secrets/outputs.tf b/modules/secrets/outputs.tf index 4d9e1e3..f2344d2 100644 --- a/modules/secrets/outputs.tf +++ b/modules/secrets/outputs.tf @@ -80,4 +80,12 @@ output "ssm_openai_api_key_staging_arn" { output "ssm_openai_api_key_prod_arn" { value = data.aws_ssm_parameter.openai_api_key_prod.arn +} + +output "ssm_topicmodel_openai_api_key_staging_arn" { + value = data.aws_ssm_parameter.topicmodel_openai_api_key_staging.arn +} + +output "ssm_topicmodel_openai_api_key_prod_arn" { + value = data.aws_ssm_parameter.topicmodel_openai_api_key_prod.arn } \ No newline at end of file diff --git a/modules/secrets/ssm.tf b/modules/secrets/ssm.tf index 645f40e..4523f90 100644 --- a/modules/secrets/ssm.tf +++ b/modules/secrets/ssm.tf @@ -68,4 +68,12 @@ data "aws_ssm_parameter" "openai_api_key_staging" { data "aws_ssm_parameter" "openai_api_key_prod" { name = "openai_api_key_prod" +} + +data "aws_ssm_parameter" "topicmodel_openai_api_key_staging" { + name = "topicmodel_openai_api_key_staging" +} + +data "aws_ssm_parameter" "topicmodel_openai_api_key_prod" { + name = "topicmodel_openai_api_key_prod" } \ No newline at end of file From dbda41a8394fdfbf1f9865efca99945e3cb6e6a8 Mon Sep 17 00:00:00 2001 From: Ranjan Shrestha Date: Tue, 12 Mar 2024 10:41:51 +0545 Subject: [PATCH 3/6] reduced the size of the dimensions to allow lower number of excerpts; --- handlers/ecs/topicmodeling/app.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/handlers/ecs/topicmodeling/app.py b/handlers/ecs/topicmodeling/app.py index dde249e..e04f688 100644 --- a/handlers/ecs/topicmodeling/app.py +++ b/handlers/ecs/topicmodeling/app.py @@ -39,7 +39,7 @@ class RequestSchema(BaseModel): callback_url: str max_cluster_num: Optional[int] = 10 cluster_size: Optional[int] = 200 - umap_components: Optional[int] = 24 + umap_components: Optional[int] = 3 ecs_app = FastAPI() From f4fce97765895200d4f5b9391df983a9ac0cb36f Mon Sep 17 00:00:00 2001 From: Ranjan Shrestha Date: Wed, 13 Mar 2024 16:55:39 +0545 Subject: [PATCH 4/6] added the postprocessing func and limit the number of excerpts sent to llm; --- handlers/ecs/topicmodeling/app.py | 5 +++-- handlers/ecs/topicmodeling/topic_generator_llm.py | 7 ++++++- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/handlers/ecs/topicmodeling/app.py b/handlers/ecs/topicmodeling/app.py index e04f688..9239058 100644 --- a/handlers/ecs/topicmodeling/app.py +++ b/handlers/ecs/topicmodeling/app.py @@ -237,11 +237,12 @@ def select_most_relevant_excerpts(self, df): new_df.drop(columns=["Representation", "Document"], inplace=True) return new_df.to_dict(orient="index") - def generate_llm_topic(self, x: pd.DataFrame): + def generate_llm_topic(self, x: pd.DataFrame, max_excerpts: int=20): """ Generate the short topic using LLM based on keywords + The excerpts are restricted to first 20 (default) """ - topic_generation = TopicGenerationLLM(x["Document"], x["Representation"]) + topic_generation = TopicGenerationLLM(x["Document"][:max_excerpts], x["Representation"][:max_excerpts]) return topic_generation.topic_generator_handler() def dispatch_results(self, status, presigned_url=None): diff --git a/handlers/ecs/topicmodeling/topic_generator_llm.py b/handlers/ecs/topicmodeling/topic_generator_llm.py index c390198..46166c1 100644 --- a/handlers/ecs/topicmodeling/topic_generator_llm.py +++ b/handlers/ecs/topicmodeling/topic_generator_llm.py @@ -1,4 +1,5 @@ import os +import re import boto3 from langchain_openai.chat_models import ChatOpenAI from langchain.chains import LLMChain @@ -85,4 +86,8 @@ def topic_generator_handler(self): dimension_value="TopicModel", environment=ENVIRONMENT ) - return generated_summary["text"] + return self.postprocess(generated_summary["text"]) + + def postprocess(self, texts: str): + """ Postprocess the generated text """ + return re.sub(r'^[^A-Za-z0-9]+|[^A-Za-z0-9]+$', '', texts) From 6ac0e2c3b349c608fc9151da7f26a3d03df13e71 Mon Sep 17 00:00:00 2001 From: Ranjan Shrestha Date: Mon, 18 Mar 2024 11:09:22 +0545 Subject: [PATCH 5/6] updated the dockerfile (python ver) and use the parallel processing of dataframes using mapply --- handlers/ecs/topicmodeling/Dockerfile | 2 +- handlers/ecs/topicmodeling/app.py | 8 +- handlers/ecs/topicmodeling/poetry.lock | 816 +++++++++++++--------- handlers/ecs/topicmodeling/pyproject.toml | 5 +- 4 files changed, 507 insertions(+), 324 deletions(-) diff --git a/handlers/ecs/topicmodeling/Dockerfile b/handlers/ecs/topicmodeling/Dockerfile index d82e91b..df08412 100644 --- a/handlers/ecs/topicmodeling/Dockerfile +++ b/handlers/ecs/topicmodeling/Dockerfile @@ -1,4 +1,4 @@ -FROM python:3.8-slim-buster +FROM python:3.10-slim-buster LABEL maintainer="nlp@thedeep.io" diff --git a/handlers/ecs/topicmodeling/app.py b/handlers/ecs/topicmodeling/app.py index 9239058..ef73ffc 100644 --- a/handlers/ecs/topicmodeling/app.py +++ b/handlers/ecs/topicmodeling/app.py @@ -12,6 +12,7 @@ from fastapi import FastAPI, BackgroundTasks from pydantic import BaseModel from botocore.exceptions import ClientError +import mapply from topic_generator import TopicGenerator from topic_generator_llm import TopicGenerationLLM from nlp_modules_utils import ( @@ -26,6 +27,7 @@ ) logging.getLogger().setLevel(logging.INFO) +mapply.init(chunk_size=1, progressbar=False) SENTRY_DSN = os.environ.get("SENTRY_DSN") ENVIRONMENT = os.environ.get("ENVIRONMENT") @@ -155,7 +157,7 @@ def _get_embeddings( finetuned_task: str = "['first_level_tags']", return_type: str = "default_analyis", embeddings_return_type: str = "array", - batch_size: int = 10 + batch_size: int = 25 ): """ Calculates the embeddings of the entries @@ -233,7 +235,7 @@ def select_most_relevant_excerpts(self, df): for v in data_json.values(): v["Representation"] = " ".join(set(v["Representation"])) new_df = pd.DataFrame.from_dict(data_json, orient="index") - new_df["label"] = new_df.apply(self.generate_llm_topic, axis=1) + new_df["label"] = new_df.mapply(self.generate_llm_topic, axis=1) new_df.drop(columns=["Representation", "Document"], inplace=True) return new_df.to_dict(orient="index") @@ -242,7 +244,7 @@ def generate_llm_topic(self, x: pd.DataFrame, max_excerpts: int=20): Generate the short topic using LLM based on keywords The excerpts are restricted to first 20 (default) """ - topic_generation = TopicGenerationLLM(x["Document"][:max_excerpts], x["Representation"][:max_excerpts]) + topic_generation = TopicGenerationLLM(x["Document"][:max_excerpts], x["Representation"]) return topic_generation.topic_generator_handler() def dispatch_results(self, status, presigned_url=None): diff --git a/handlers/ecs/topicmodeling/poetry.lock b/handlers/ecs/topicmodeling/poetry.lock index 1fa0c65..924e167 100644 --- a/handlers/ecs/topicmodeling/poetry.lock +++ b/handlers/ecs/topicmodeling/poetry.lock @@ -446,6 +446,22 @@ files = [ marshmallow = ">=3.18.0,<4.0.0" typing-inspect = ">=0.4.0,<1" +[[package]] +name = "dill" +version = "0.3.8" +description = "serialize all of Python" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, + {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, +] + +[package.extras] +graph = ["objgraph (>=1.7.2)"] +profile = ["gprof2dot (>=2022.7.29)"] + [[package]] name = "distro" version = "1.9.0" @@ -786,14 +802,14 @@ socks = ["socksio (>=1.0.0,<2.0.0)"] [[package]] name = "huggingface-hub" -version = "0.21.3" +version = 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handlers/ecs/topicmodeling/pyproject.toml | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/handlers/ecs/topicmodeling/poetry.lock b/handlers/ecs/topicmodeling/poetry.lock index 924e167..fda5d15 100644 --- a/handlers/ecs/topicmodeling/poetry.lock +++ b/handlers/ecs/topicmodeling/poetry.lock @@ -2876,8 +2876,8 @@ umap-learn = "*" [package.source] type = "git" url = "https://github.com/the-deep-nlp/topic-generator" -reference = "776fa01" -resolved_reference = "776fa01a876dc0c46b83206860ff8efc01cc34d4" +reference = "b0d5d18" +resolved_reference = "b0d5d180147bcb0087a0438c29bbd43677418537" [[package]] name = "torch" @@ -3203,4 +3203,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "f7dd841772f2bd47e1e09ab56979b4e5b6fa150446b883d2f2144dac5e155a4a" +content-hash = "14ffe61140364791cc8ba1b0947f6cfecfd33056551ee1b463220b26ea31b0e3" diff --git a/handlers/ecs/topicmodeling/pyproject.toml b/handlers/ecs/topicmodeling/pyproject.toml index fecbff2..0d36d85 100644 --- a/handlers/ecs/topicmodeling/pyproject.toml +++ b/handlers/ecs/topicmodeling/pyproject.toml @@ -14,7 +14,7 @@ openai = ">=0.27.8" langchain = ">=0.0.238" tiktoken = ">=0.4.0" langchain-openai = "^0.0.2.post1" -topic_generator = { git = "https://github.com/the-deep-nlp/topic-generator", rev = "776fa01", branch = "main" } +topic_generator = { git = "https://github.com/the-deep-nlp/topic-generator", rev = "b0d5d18", branch = "main" } nlp_modules_utils = { git = "https://github.com/the-deep-nlp/nlp-modules-utils.git", rev = "bc82d18", branch = "main" } mapply = "^0.1.25"