fix: lint (#405)

Author: mdrxy

libs/community/langchain_community/document_loaders/rss.py

@@ -124,11 +124,15 @@ def lazy_load(self) -> Iterator[Document]:
                     )
                     article = loader.load()[0]
                     article.metadata["feed"] = url
-                    # If the publish date is not set by newspaper, try to extract it from the feed entry
+                    # If the publish date is not set by newspaper, try to extract it
+                    # from the feed entry
                     if article.metadata.get("publish_date") is None:
                         from datetime import datetime
+
                         publish_date = entry.get("published_parsed", None)
-                        article.metadata["publish_date"] = datetime(*publish_date[:6]) if publish_date else None
+                        article.metadata["publish_date"] = (
+                            datetime(*publish_date[:6]) if publish_date else None
+                        )
                     yield article
             except Exception as e:
                 if self.continue_on_failure:

libs/community/langchain_community/vectorstores/duckdb.py

@@ -5,7 +5,7 @@
 import logging
 import uuid
 import warnings
-from typing import Any, Iterable, List, Optional, Type
+from typing import Any, Iterable, List, Optional, Type, cast
 
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
@@ -224,12 +224,12 @@ def similarity_search_pd(
         list_cosine_similarity = self.duckdb.FunctionExpression(
             "list_cosine_similarity",
             self.duckdb.ColumnExpression(self._vector_key),
-            self.duckdb.ConstantExpression(embedding),
+            self.duckdb.ConstantExpression(cast(str, embedding)),
         )
         docs = (
             self._table.select(
                 *[
-                    self.duckdb.StarExpression(exclude=[]),
+                    self.duckdb.StarExpression(),
                     list_cosine_similarity.alias(SIMILARITY_ALIAS),
                 ]
             )
@@ -269,12 +269,12 @@ def similarity_search(
         list_cosine_similarity = self.duckdb.FunctionExpression(
             "list_cosine_similarity",
             self.duckdb.ColumnExpression(self._vector_key),
-            self.duckdb.ConstantExpression(embedding),
+            self.duckdb.ConstantExpression(cast(str, embedding)),
         )
         docs = (
             self._table.select(
                 *[
-                    self.duckdb.StarExpression(exclude=[]),
+                    self.duckdb.StarExpression(),
                     list_cosine_similarity.alias(SIMILARITY_ALIAS),
                 ]
             )

libs/community/tests/unit_tests/imports/test_langchain_proxy_imports.py

@@ -21,5 +21,6 @@ def test_vectorstores() -> None:
             "ClickhouseSettings",
             "MyScaleSettings",
             "AzureCosmosDBVectorSearch",
+            "Tigris",  # Was removed upstream but haven't released yet
         ]:
             assert issubclass(getattr(vectorstores, cls), VectorStore)