Improve incomplete type hints

.github/workflows/ci.yaml

@@ -45,8 +45,7 @@ jobs:
         run: |
           if [[ "$RUNNER_OS" == "Linux" && "${{ matrix.python-version }}" == "3.10" ]]
           then
-            echo "::add-matcher::.github/ruff-matcher.json"
-            poetry run ruff check . --config pyproject.toml --output-format text --no-fix
+            poetry run ruff check . --config pyproject.toml --output-format=github --no-fix
           else
             poetry run pre-commit run ruff-lint --all-files --show-diff-on-failure
           fi;

kpops/component_handlers/__init__.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 if TYPE_CHECKING:
     from kpops.component_handlers.kafka_connect.kafka_connect_handler import (
@@ -15,11 +15,11 @@ class ComponentHandlers:
 
     def __new__(
         cls,
-        schema_handler,
-        connector_handler,
-        topic_handler,
-        *args,
-        **kwargs,
+        schema_handler: SchemaHandler | None,
+        connector_handler: KafkaConnectHandler,
+        topic_handler: TopicHandler,
+        *args: Any,
+        **kwargs: Any,
     ) -> ComponentHandlers:
         if not cls._instance:
             cls._instance = super().__new__(cls, *args, **kwargs)

kpops/component_handlers/helm_wrapper/helm_diff.py

@@ -16,7 +16,7 @@ def __init__(self, config: HelmDiffConfig) -> None:
     def calculate_changes(
         current_release: Iterable[HelmTemplate],
         new_release: Iterable[HelmTemplate],
-    ) -> Iterator[Change[KubernetesManifest]]:
+    ) -> Iterator[Change[KubernetesManifest, KubernetesManifest]]:
         """Compare 2 releases and generate a Change object for each difference.
 
         :param current_release: Iterable containing HelmTemplate objects for the current release

kpops/component_handlers/kafka_connect/connect_wrapper.py

@@ -2,7 +2,7 @@
 
 import asyncio
 import logging
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 import httpx
 
@@ -46,8 +46,11 @@ async def create_connector(
         :param connector_config: The config of the connector
         :return: The current connector info if successful.
         """
-        config_json = connector_config.model_dump()
-        connect_data = {"name": connector_config.name, "config": config_json}
+        config_json: dict[str, Any] = connector_config.model_dump()
+        connect_data: dict[str, Any] = {
+            "name": connector_config.name,
+            "config": config_json,
+        }
         response = await self._client.post(
             url=f"{self.url}connectors", headers=HEADERS, json=connect_data
         )
@@ -112,7 +115,7 @@ async def update_connector_config(
             json=config_json,
         )
 
-        data: dict = response.json()
+        data: dict[str, Any] = response.json()
         if response.status_code == httpx.codes.OK:
             log.info(f"Config for connector {connector_name} updated.")
             log.debug(data)

kpops/component_handlers/kafka_connect/model.py

@@ -5,7 +5,6 @@
 from pydantic import (
     BaseModel,
     ConfigDict,
-    SerializationInfo,
     field_validator,
     model_serializer,
 )
@@ -77,8 +76,12 @@ def serialize_topics(self, topics: list[KafkaTopic]) -> str | None:
 
     # TODO(Ivan Yordanov): Currently hacky and potentially unsafe. Find cleaner solution
     @model_serializer(mode="wrap", when_used="always")
-    def serialize_model(self, handler, info: SerializationInfo) -> dict[str, Any]:
-        result = exclude_by_value(handler(self), None)
+    def serialize_model(
+        self,
+        default_serialize_handler: pydantic.SerializerFunctionWrapHandler,
+        info: pydantic.SerializationInfo,
+    ) -> dict[str, Any]:
+        result = exclude_by_value(default_serialize_handler(self), None)
         return {by_alias(self, name): value for name, value in result.items()}
 
 

kpops/component_handlers/topic/handler.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import logging
+from typing import Any
 
 from kpops.component_handlers.topic.exception import (
     TopicNotFoundException,
@@ -118,7 +119,7 @@ async def __execute_topic_creation(
             )
 
             if differences:
-                json_body = []
+                json_body: list[dict[str, str]] = []
                 for difference in differences:
                     if difference.diff_type is DiffType.REMOVE:
                         json_body.append(
@@ -216,15 +217,15 @@ def __prepare_body(cls, topic: KafkaTopic) -> TopicSpec:
         :param topic_config: The topic config
         :return: Topic specification
         """
-        topic_spec_json: dict = topic.config.model_dump(
+        topic_spec_json: dict[str, Any] = topic.config.model_dump(
             include={
                 "partitions_count": True,
                 "replication_factor": True,
                 "configs": True,
             },
             exclude_none=True,
         )
-        configs = []
+        configs: list[dict[str, Any]] = []
         for config_name, config_value in topic_spec_json["configs"].items():
             configs.append({"name": config_name, "value": config_value})
         topic_spec_json["configs"] = configs

kpops/component_handlers/topic/proxy_wrapper.py

@@ -2,7 +2,7 @@
 
 import logging
 from functools import cached_property
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 import httpx
 
@@ -163,7 +163,7 @@ async def get_topic_config(self, topic_name: str) -> TopicConfigResponse:
         raise KafkaRestProxyError(response)
 
     async def batch_alter_topic_config(
-        self, topic_name: str, json_body: list[dict]
+        self, topic_name: str, json_body: list[dict[str, Any]]
     ) -> None:
         """Reset config of given config_name param to the default value on the Kafka server.
 

kpops/component_handlers/topic/utils.py

@@ -1,3 +1,5 @@
+from typing import Any
+
 from kpops.component_handlers.topic.model import (
     BrokerConfigResponse,
     KafkaTopicConfigSource,
@@ -6,8 +8,8 @@
 
 
 def parse_and_compare_topic_configs(
-    topic_config_in_cluster: TopicConfigResponse, topic_config: dict
-) -> tuple[dict, dict]:
+    topic_config_in_cluster: TopicConfigResponse, topic_config: dict[str, Any]
+) -> tuple[dict[str, str], dict[str, Any]]:
     comparable_in_cluster_config_dict, default_configs = parse_rest_proxy_topic_config(
         topic_config_in_cluster
     )
@@ -36,9 +38,9 @@ def parse_and_compare_topic_configs(
 
 
 def populate_default_configs(
-    config_overwrites: set,
-    default_configs: dict,
-    config_to_populate: dict,
+    config_overwrites: set[str],
+    default_configs: dict[str, str],
+    config_to_populate: dict[str, str],
     description_text: str,
 ):
     for overwrite in config_overwrites:
@@ -52,9 +54,9 @@ def populate_default_configs(
 
 def parse_rest_proxy_topic_config(
     topic_config_in_cluster: TopicConfigResponse,
-) -> tuple[dict, dict]:
-    comparable_in_cluster_config_dict = {}
-    default_configs = {}
+) -> tuple[dict[str, str], dict[str, str]]:
+    comparable_in_cluster_config_dict: dict[str, str] = {}
+    default_configs: dict[str, str] = {}
     for config in topic_config_in_cluster.data:
         if config.source == KafkaTopicConfigSource.DYNAMIC_TOPIC_CONFIG:
             comparable_in_cluster_config_dict[config.name] = config.value

kpops/components/base_components/base_defaults_component.py

@@ -55,7 +55,7 @@ class BaseDefaultsComponent(DescConfigModel, ABC):
 
     model_config = ConfigDict(
         arbitrary_types_allowed=True,
-        ignored_types=(cached_property, cached_classproperty),
+        ignored_types=(cached_property, cached_classproperty),  # pyright: ignore[reportArgumentType]
     )
     enrich: SkipJsonSchema[bool] = Field(
         default=True,
@@ -189,7 +189,7 @@ def load_defaults(cls, *defaults_file_paths: Path) -> dict[str, Any]:
         """
         defaults: dict[str, Any] = {}
         for base in (cls, *cls.parents):
-            component_type: str = base.type
+            component_type = base.type
             defaults = update_nested(
                 defaults,
                 *(
@@ -204,7 +204,7 @@ def _validate_custom(self) -> None:
         """Run custom validation on component."""
 
 
-def defaults_from_yaml(path: Path, key: str) -> dict:
+def defaults_from_yaml(path: Path, key: str) -> dict[str, Any]:
     """Read component-specific settings from a ``defaults*.yaml`` file and return @default if not found.
 
     :param path: Path to ``defaults*.yaml`` file
@@ -246,7 +246,7 @@ def get_defaults_file_paths(
     :param environment: Optional. The environment for which default configuration files are sought.
     :returns: A list of Path objects representing the default configuration file paths.
     """
-    default_paths = []
+    default_paths: list[Path] = []
 
     if not pipeline_path.is_file():
         msg = f"{pipeline_path} is not a valid pipeline file."

kpops/components/base_components/helm_app.py

@@ -5,7 +5,7 @@
 from typing import Annotated, Any
 
 import pydantic
-from pydantic import Field, SerializationInfo, model_serializer
+from pydantic import Field, model_serializer
 from typing_extensions import override
 
 from kpops.component_handlers.helm_wrapper.dry_run_handler import DryRunHandler
@@ -53,7 +53,7 @@ class HelmAppValues(KubernetesAppValues):
     # BEWARE! All default values are enforced, hard to replicate without
     # access to ``model_dump``
     @override
-    def model_dump(self, **_) -> dict[str, Any]:
+    def model_dump(self, **_: Any) -> dict[str, Any]:
         return super().model_dump(
             by_alias=True, exclude_none=True, exclude_defaults=True
         )
@@ -208,5 +208,9 @@ def print_helm_diff(self, stdout: str) -> None:
     # HACK: workaround for Pydantic to exclude cached properties during model export
     # TODO(Ivan Yordanov): Currently hacky and potentially unsafe. Find cleaner solution
     @model_serializer(mode="wrap", when_used="always")
-    def serialize_model(self, handler, info: SerializationInfo) -> dict[str, Any]:
-        return exclude_by_name(handler(self), "helm", "helm_diff")
+    def serialize_model(
+        self,
+        default_serialize_handler: pydantic.SerializerFunctionWrapHandler,
+        info: pydantic.SerializationInfo,
+    ) -> dict[str, Any]:
+        return exclude_by_name(default_serialize_handler(self), "helm", "helm_diff")

kpops/components/base_components/kafka_app.py

@@ -2,7 +2,6 @@
 
 import logging
 from abc import ABC
-from collections.abc import Callable
 from typing import Any
 
 import pydantic
@@ -58,7 +57,7 @@ class KafkaStreamsConfig(CamelCaseConfigModel, DescConfigModel):
     @pydantic.field_validator("extra_output_topics", mode="before")
     @classmethod
     def deserialize_extra_output_topics(
-        cls, extra_output_topics: Any
+        cls, extra_output_topics: dict[str, str] | Any
     ) -> dict[str, KafkaTopic] | Any:
         if isinstance(extra_output_topics, dict):
             return {
@@ -76,9 +75,13 @@ def serialize_extra_output_topics(
     # TODO(Ivan Yordanov): Currently hacky and potentially unsafe. Find cleaner solution
     @pydantic.model_serializer(mode="wrap", when_used="always")
     def serialize_model(
-        self, handler: Callable, info: pydantic.SerializationInfo
+        self,
+        default_serialize_handler: pydantic.SerializerFunctionWrapHandler,
+        info: pydantic.SerializationInfo,
     ) -> dict[str, Any]:
-        return exclude_defaults(self, exclude_by_value(handler(self), None))
+        return exclude_defaults(
+            self, exclude_by_value(default_serialize_handler(self), None)
+        )
 
 
 class KafkaAppValues(HelmAppValues):

kpops/components/common/topic.py

@@ -100,7 +100,9 @@ def deduplicate(topics: Iterable[KafkaTopic]) -> list[KafkaTopic]:
         return list({topic.name: topic for topic in topics}.values())
 
 
-def deserialize_kafka_topic_from_str(topic: Any) -> KafkaTopic | dict:
+def deserialize_kafka_topic_from_str(
+    topic: str | dict[str, str] | Any,
+) -> KafkaTopic | dict[str, str]:
     if topic and isinstance(topic, str):
         return KafkaTopic(name=topic)
     if isinstance(topic, KafkaTopic | dict):

kpops/components/streams_bootstrap/streams/model.py

@@ -55,15 +55,17 @@ class StreamsConfig(KafkaStreamsConfig):
 
     @pydantic.field_validator("input_topics", mode="before")
     @classmethod
-    def deserialize_input_topics(cls, input_topics: Any) -> list[KafkaTopic] | Any:
+    def deserialize_input_topics(
+        cls, input_topics: list[str] | Any
+    ) -> list[KafkaTopic] | Any:
         if isinstance(input_topics, list):
             return [KafkaTopic(name=topic_name) for topic_name in input_topics]
         return input_topics
 
     @pydantic.field_validator("extra_input_topics", mode="before")
     @classmethod
     def deserialize_extra_input_topics(
-        cls, extra_input_topics: Any
+        cls, extra_input_topics: dict[str, str] | Any
     ) -> dict[str, list[KafkaTopic]] | Any:
         if isinstance(extra_input_topics, dict):
             return {

kpops/pipeline/__init__.py

@@ -109,7 +109,7 @@ def build_execution_graph(
         async def run_parallel_tasks(
             coroutines: list[Coroutine[Any, Any, None]],
         ) -> None:
-            tasks = []
+            tasks: list[asyncio.Task[None]] = []
             for coro in coroutines:
                 tasks.append(asyncio.create_task(coro))
             await asyncio.gather(*tasks)
@@ -132,7 +132,7 @@ async def run_graph_tasks(pending_tasks: list[Awaitable[None]]) -> None:
 
         layers_graph: list[list[str]] = list(nx.bfs_layers(graph, root_node))
 
-        sorted_tasks = []
+        sorted_tasks: list[Awaitable[None]] = []
         for layer in layers_graph[1:]:
             if parallel_tasks := self.__get_parallel_tasks_from(layer, runner):
                 sorted_tasks.append(run_parallel_tasks(parallel_tasks))
@@ -220,8 +220,8 @@ class PipelineGenerator:
 
     def parse(
         self,
-        components: list[dict],
-        environment_components: list[dict],
+        components: list[dict[str, Any]],
+        environment_components: list[dict[str, Any]],
     ) -> Pipeline:
         """Parse pipeline from sequence of component dictionaries.
 
@@ -271,7 +271,7 @@ def load_yaml(self, path: Path, environment: str | None) -> Pipeline:
 
         return self.parse(main_content, env_content)
 
-    def parse_components(self, components: list[dict]) -> None:
+    def parse_components(self, components: list[dict[str, Any]]) -> None:
         """Instantiate, enrich and inflate a list of components.
 
         :param components: List of components
@@ -288,7 +288,7 @@ def parse_components(self, components: list[dict]) -> None:
                     raise ValueError(msg) from ke
                 component_class = self.registry[component_type]
                 self.apply_component(component_class, component_data)
-            except Exception as ex:  # noqa: BLE001
+            except Exception as ex:
                 if "name" in component_data:
                     msg = f"Error enriching {component_data['type']} component {component_data['name']}"
                     raise ParsingException(msg) from ex