Merge branch 'main' into fix/2939-sparse-vector-storage

Author: davidsbatista

.github/workflows/CI_docusaurus_sync.yml

@@ -117,5 +117,4 @@ jobs:
           add-paths: |
             docs-website
           body: |
-            This PR syncs the Core Integrations API reference (${{ env.INTEGRATION_NAME }}) on Docusaurus. Just approve and merge it.
-          reviewers: "${{ github.actor }}"
+            This PR syncs the Core Integrations API reference (${{ env.INTEGRATION_NAME }}) on Docusaurus. Just approve and merge it.

integrations/aimlapi/pyproject.toml

@@ -80,6 +80,7 @@ line-length = 120
 [tool.ruff.lint]
 select = [
   "A",
+  "ANN",
   "ARG",
   "B",
   "C",
@@ -130,7 +131,7 @@ ban-relative-imports = "parents"
 
 [tool.ruff.lint.per-file-ignores]
 # Tests can use magic values, assertions, and relative imports
-"tests/**/*" = ["PLR2004", "S101", "TID252"]
+"tests/**/*" = ["PLR2004", "S101", "TID252", "ANN"]
 
 [tool.coverage.run]
 source = ["haystack_integrations"]

integrations/aimlapi/src/haystack_integrations/components/generators/aimlapi/chat/chat_generator.py

@@ -71,7 +71,7 @@ def __init__(
         extra_headers: dict[str, Any] | None = None,
         max_retries: int | None = None,
         http_client_kwargs: dict[str, Any] | None = None,
-    ):
+    ) -> None:
         """
         Creates an instance of AIMLAPIChatGenerator. Unless specified otherwise,
         the default model is `openai/gpt-5-chat-latest`.
@@ -192,8 +192,6 @@ def _prepare_api_call(
             raise ValueError(msg)
         response_format = generation_kwargs.pop("response_format", None)
 
-        response_format = generation_kwargs.pop("response_format", None)
-
         base_args = {
             "model": self.model,
             "messages": aimlapi_formatted_messages,

integrations/amazon_bedrock/pyproject.toml

@@ -96,6 +96,7 @@ line-length = 120
 [tool.ruff.lint]
 select = [
   "A",
+  "ANN",
   "ARG",
   "B",
   "C",
@@ -123,6 +124,8 @@ select = [
 ignore = [
   # Allow non-abstract empty methods in abstract base classes
   "B027",
+  # Allow `Any` - used legitimately for **kwargs passed to AWS/boto3 APIs
+  "ANN401",
   # Ignore checks for possible passwords
   "S105",
   "S106",
@@ -147,7 +150,7 @@ ban-relative-imports = "parents"
 
 [tool.ruff.lint.per-file-ignores]
 # Tests can use magic values, assertions, and relative imports
-"tests/**/*" = ["PLR2004", "S101", "TID252"]
+"tests/**/*" = ["PLR2004", "S101", "TID252", "ANN"]
 
 [tool.coverage.run]
 source = ["haystack_integrations"]

integrations/amazon_bedrock/src/haystack_integrations/components/rankers/amazon_bedrock/ranker.py

@@ -72,9 +72,6 @@ def __init__(
         meta_fields_to_embed: list[str] | None = None,
         meta_data_separator: str = "\n",
     ) -> None:
-        if not model:
-            msg = "'model' cannot be None or empty string"
-            raise ValueError(msg)
         """
         Creates an instance of the 'AmazonBedrockRanker'.
 
@@ -93,6 +90,9 @@ def __init__(
         :param meta_data_separator: Separator used to concatenate the meta fields
             to the Document content.
         """
+        if not model:
+            msg = "'model' cannot be None or empty string"
+            raise ValueError(msg)
         self.model_name = model
         self.aws_access_key_id = aws_access_key_id
         self.aws_secret_access_key = aws_secret_access_key

integrations/amazon_sagemaker/pyproject.toml

@@ -87,6 +87,7 @@ line-length = 120
 [tool.ruff.lint]
 select = [
   "A",
+  "ANN",
   "ARG",
   "B",
   "C",
@@ -139,7 +140,7 @@ ban-relative-imports = "parents"
 
 [tool.ruff.lint.per-file-ignores]
 # Tests can use magic values, assertions, and relative imports
-"tests/**/*" = ["PLR2004", "S101", "TID252"]
+"tests/**/*" = ["PLR2004", "S101", "TID252", "ANN"]
 
 [tool.coverage.run]
 source = ["haystack_integrations"]

integrations/amazon_sagemaker/src/haystack_integrations/components/generators/amazon_sagemaker/sagemaker.py

@@ -58,7 +58,7 @@ def __init__(
         aws_profile_name: Secret | None = Secret.from_env_var(["AWS_PROFILE"], strict=False),  # noqa: B008
         aws_custom_attributes: dict[str, Any] | None = None,
         generation_kwargs: dict[str, Any] | None = None,
-    ):
+    ) -> None:
         """
         Instantiates the session with SageMaker.
 

integrations/anthropic/pyproject.toml

@@ -82,6 +82,7 @@ line-length = 120
 [tool.ruff.lint]
 select = [
   "A",
+  "ANN",
   "ARG",
   "B",
   "C",
@@ -110,6 +111,8 @@ ignore = [
   "T201", # print statements
   # Allow non-abstract empty methods in abstract base classes
   "B027",
+  # Allow `Any` - used for Anthropic SDK response objects which are dynamically typed
+  "ANN401",
   # Ignore checks for possible passwords
   "S105",
   "S106",
@@ -134,7 +137,8 @@ ban-relative-imports = "parents"
 
 [tool.ruff.lint.per-file-ignores]
 # Tests can use magic values, assertions, and relative imports
-"tests/**/*" = ["PLR2004", "S101", "TID252"]
+"tests/**/*" = ["PLR2004", "S101", "TID252", "ANN"]
+"example/**/*" = ["ANN"]
 
 [tool.coverage.run]
 source = ["haystack_integrations"]

integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/chat_generator.py

@@ -135,7 +135,7 @@ def __init__(
         *,
         timeout: float | None = None,
         max_retries: int | None = None,
-    ):
+    ) -> None:
         """
         Creates an instance of AnthropicChatGenerator.
 

integrations/anthropic/src/haystack_integrations/components/generators/anthropic/chat/vertex_chat_generator.py

@@ -92,7 +92,7 @@ def __init__(
         *,
         timeout: float | None = None,
         max_retries: int | None = None,
-    ):
+    ) -> None:
         """
         Creates an instance of AnthropicVertexChatGenerator.