Bump ruff version to 0.12

Author: cbornet

langchain/langchain_vectorize/retrievers.py

@@ -111,9 +111,9 @@ def format_docs(docs):
     """The Vectorize API token."""
     environment: Literal["prod", "dev", "local", "staging"] = "prod"
     """The Vectorize API environment."""
-    organization: Optional[str] = None  # noqa: UP007
+    organization: Optional[str] = None
     """The Vectorize organization ID."""
-    pipeline_id: Optional[str] = None  # noqa: UP007
+    pipeline_id: Optional[str] = None
     """The Vectorize pipeline ID."""
     num_results: int = 5
     """The number of documents to return."""

langchain/pyproject.toml

@@ -33,7 +33,7 @@ Issues = "https://github.com/vectorize-io/integrations-python/issues"
 dev = [
     "mypy>=1.13.0",
     "pytest>=8.3.3",
-    "ruff>=0.9.0,<0.10",
+    "ruff>=0.12.7,<0.13",
 ]
 
 [tool.ruff.lint]
@@ -49,6 +49,7 @@ ignore = [
 pydocstyle.convention = "google"
 flake8-annotations.allow-star-arg-any = true
 flake8-annotations.mypy-init-return = true
+pyupgrade.keep-runtime-typing = true
 
 [tool.ruff.lint.per-file-ignores]
 "tests/*" = [

langchain/tests/test_retrievers.py

@@ -13,6 +13,8 @@
 
 from langchain_vectorize.retrievers import VectorizeRetriever
 
+logger = logging.getLogger(__name__)
+
 
 @pytest.fixture(scope="session")
 def api_token() -> str:
@@ -35,7 +37,7 @@ def org_id() -> str:
 @pytest.fixture(scope="session")
 def environment() -> Literal["prod", "dev", "local", "staging"]:
     env = os.getenv("VECTORIZE_ENV", "prod")
-    if env not in ["prod", "dev", "local", "staging"]:
+    if env not in {"prod", "dev", "local", "staging"}:
         msg = "Invalid VECTORIZE_ENV environment variable."
         raise ValueError(msg)
     return env
@@ -78,7 +80,7 @@ def pipeline_id(api_client: v.ApiClient, org_id: str) -> Iterator[str]:
         ],
     )
     source_connector_id = response.connectors[0].id
-    logging.info("Created source connector %s", source_connector_id)
+    logger.info("Created source connector %s", source_connector_id)
 
     uploads_api = v.UploadsApi(api_client)
     upload_response = uploads_api.start_file_upload_to_connector(
@@ -109,19 +111,19 @@ def pipeline_id(api_client: v.ApiClient, org_id: str) -> Iterator[str]:
         msg = "Upload failed:"
         raise ValueError(msg)
     else:
-        logging.info("Upload successful")
+        logger.info("Upload successful")
 
     ai_platforms = connectors_api.get_ai_platform_connectors(org_id)
     builtin_ai_platform = next(
         c.id for c in ai_platforms.ai_platform_connectors if c.type == "VECTORIZE"
     )
-    logging.info("Using AI platform %s", builtin_ai_platform)
+    logger.info("Using AI platform %s", builtin_ai_platform)
 
     vector_databases = connectors_api.get_destination_connectors(org_id)
     builtin_vector_db = next(
         c.id for c in vector_databases.destination_connectors if c.type == "VECTORIZE"
     )
-    logging.info("Using destination connector %s", builtin_vector_db)
+    logger.info("Using destination connector %s", builtin_vector_db)
 
     pipeline_response = pipelines.create_pipeline(
         org_id,
@@ -148,14 +150,14 @@ def pipeline_id(api_client: v.ApiClient, org_id: str) -> Iterator[str]:
         ),
     )
     pipeline_id = pipeline_response.data.id
-    logging.info("Created pipeline %s", pipeline_id)
+    logger.info("Created pipeline %s", pipeline_id)
 
     yield pipeline_id
 
     try:
         pipelines.delete_pipeline(org_id, pipeline_id)
     except Exception:
-        logging.exception("Failed to delete pipeline %s", pipeline_id)
+        logger.exception("Failed to delete pipeline %s", pipeline_id)
 
 
 def test_retrieve_init_args(