Update session management in vectorstore (#25)

Update session management in the vectorstore

.github/workflows/_test.yml

@@ -20,9 +20,9 @@ jobs:
     strategy:
       matrix:
         python-version:
-#          - "3.8"
-#          - "3.9"
-#          - "3.10"
+          - "3.8"
+          - "3.9"
+          - "3.10"
           - "3.11"
     name: Python ${{ matrix.python-version }}
     steps:

langchain_postgres/vectorstores.py

@@ -1,14 +1,12 @@
 from __future__ import annotations
 
-import contextlib
 import enum
 import logging
 import uuid
 from typing import (
     Any,
     Callable,
     Dict,
-    Generator,
     Iterable,
     List,
     Optional,
@@ -21,7 +19,7 @@
 import sqlalchemy
 from sqlalchemy import SQLColumnExpression, cast, delete, func
 from sqlalchemy.dialects.postgresql import JSON, JSONB, JSONPATH, UUID, insert
-from sqlalchemy.orm import Session, relationship
+from sqlalchemy.orm import Session, relationship, sessionmaker
 
 try:
     from sqlalchemy.orm import declarative_base
@@ -288,15 +286,19 @@ def __init__(
         self.override_relevance_score_fn = relevance_score_fn
 
         if isinstance(connection, str):
-            self._bind = sqlalchemy.create_engine(url=connection, **(engine_args or {}))
+            self._engine = sqlalchemy.create_engine(
+                url=connection, **(engine_args or {})
+            )
         elif isinstance(connection, sqlalchemy.engine.Engine):
-            self._bind = connection
+            self._engine = connection
         else:
             raise ValueError(
                 "connection should be a connection string or an instance of "
                 "sqlalchemy.engine.Engine"
             )
 
+        self._session_maker = sessionmaker(bind=self._engine)
+
         self.use_jsonb = use_jsonb
         self.create_extension = create_extension
 
@@ -321,16 +323,16 @@ def __post_init__(
         self.create_collection()
 
     def __del__(self) -> None:
-        if isinstance(self._bind, sqlalchemy.engine.Connection):
-            self._bind.close()
+        if isinstance(self._engine, sqlalchemy.engine.Connection):
+            self._engine.close()
 
     @property
     def embeddings(self) -> Embeddings:
         return self.embedding_function
 
     def create_vector_extension(self) -> None:
         try:
-            with Session(self._bind) as session:  # type: ignore[arg-type]
+            with self._session_maker() as session:  # type: ignore[arg-type]
                 # The advisor lock fixes issue arising from concurrent
                 # creation of the vector extension.
                 # https://github.com/langchain-ai/langchain/issues/12933
@@ -348,36 +350,31 @@ def create_vector_extension(self) -> None:
             raise Exception(f"Failed to create vector extension: {e}") from e
 
     def create_tables_if_not_exists(self) -> None:
-        with Session(self._bind) as session, session.begin():  # type: ignore[arg-type]
+        with self._session_maker() as session:
             Base.metadata.create_all(session.get_bind())
 
     def drop_tables(self) -> None:
-        with Session(self._bind) as session, session.begin():  # type: ignore[arg-type]
+        with self._session_maker() as session:
             Base.metadata.drop_all(session.get_bind())
 
     def create_collection(self) -> None:
         if self.pre_delete_collection:
             self.delete_collection()
-        with Session(self._bind) as session:  # type: ignore[arg-type]
+        with self._session_maker() as session:  # type: ignore[arg-type]
             self.CollectionStore.get_or_create(
                 session, self.collection_name, cmetadata=self.collection_metadata
             )
 
     def delete_collection(self) -> None:
         self.logger.debug("Trying to delete collection")
-        with Session(self._bind) as session:  # type: ignore[arg-type]
+        with self._session_maker() as session:  # type: ignore[arg-type]
             collection = self.get_collection(session)
             if not collection:
                 self.logger.warning("Collection not found")
                 return
             session.delete(collection)
             session.commit()
 
-    @contextlib.contextmanager
-    def _make_session(self) -> Generator[Session, None, None]:
-        """Create a context manager for the session, bind to _conn string."""
-        yield Session(self._bind)  # type: ignore[arg-type]
-
     def delete(
         self,
         ids: Optional[List[str]] = None,
@@ -390,7 +387,7 @@ def delete(
             ids: List of ids to delete.
             collection_only: Only delete ids in the collection.
         """
-        with Session(self._bind) as session:  # type: ignore[arg-type]
+        with self._session_maker() as session:
             if ids is not None:
                 self.logger.debug(
                     "Trying to delete vectors by ids (represented by the model "
@@ -476,7 +473,7 @@ def add_embeddings(
         if not metadatas:
             metadatas = [{} for _ in texts]
 
-        with Session(self._bind) as session:  # type: ignore[arg-type]
+        with self._session_maker() as session:  # type: ignore[arg-type]
             collection = self.get_collection(session)
             if not collection:
                 raise ValueError("Collection not found")
@@ -901,7 +898,7 @@ def __query_collection(
         filter: Optional[Dict[str, str]] = None,
     ) -> List[Any]:
         """Query the collection."""
-        with Session(self._bind) as session:  # type: ignore[arg-type]
+        with self._session_maker() as session:  # type: ignore[arg-type]
             collection = self.get_collection(session)
             if not collection:
                 raise ValueError("Collection not found")
@@ -1066,6 +1063,7 @@ def from_existing_index(
             embeddings=embedding,
             distance_strategy=distance_strategy,
             pre_delete_collection=pre_delete_collection,
+            **kwargs,
         )
 
         return store

tests/unit_tests/test_vectorstore.py

@@ -1,5 +1,5 @@
 """Test PGVector functionality."""
-
+import contextlib
 from typing import Any, Dict, Generator, List
 
 import pytest
@@ -18,9 +18,8 @@
     TYPE_4_FILTERING_TEST_CASES,
     TYPE_5_FILTERING_TEST_CASES,
 )
-from tests.utils import VECTORSTORE_CONNECTION_STRING
+from tests.utils import VECTORSTORE_CONNECTION_STRING as CONNECTION_STRING
 
-CONNECTION_STRING = VECTORSTORE_CONNECTION_STRING
 ADA_TOKEN_COUNT = 1536
 
 
@@ -159,7 +158,7 @@ def test_pgvector_collection_with_metadata() -> None:
         connection=CONNECTION_STRING,
         pre_delete_collection=True,
     )
-    with pgvector._make_session() as session:
+    with pgvector._session_maker() as session:
         collection = pgvector.get_collection(session)
         if collection is None:
             assert False, "Expected a CollectionStore object but received None"
@@ -182,14 +181,14 @@ def test_pgvector_delete_docs() -> None:
         pre_delete_collection=True,
     )
     vectorstore.delete(["1", "2"])
-    with vectorstore._make_session() as session:
+    with vectorstore._session_maker() as session:
         records = list(session.query(vectorstore.EmbeddingStore).all())
         # ignoring type error since mypy cannot determine whether
         # the list is sortable
         assert sorted(record.id for record in records) == ["3"]  # type: ignore
 
     vectorstore.delete(["2", "3"])  # Should not raise on missing ids
-    with vectorstore._make_session() as session:
+    with vectorstore._session_maker() as session:
         records = list(session.query(vectorstore.EmbeddingStore).all())
         # ignoring type error since mypy cannot determine whether
         # the list is sortable
@@ -229,7 +228,7 @@ def test_pgvector_index_documents() -> None:
         connection=CONNECTION_STRING,
         pre_delete_collection=True,
     )
-    with vectorstore._make_session() as session:
+    with vectorstore._session_maker() as session:
         records = list(session.query(vectorstore.EmbeddingStore).all())
         # ignoring type error since mypy cannot determine whether
         # the list is sortable
@@ -251,7 +250,7 @@ def test_pgvector_index_documents() -> None:
 
     vectorstore.add_documents(documents, ids=[doc.metadata["id"] for doc in documents])
 
-    with vectorstore._make_session() as session:
+    with vectorstore._session_maker() as session:
         records = list(session.query(vectorstore.EmbeddingStore).all())
         ordered_records = sorted(records, key=lambda x: x.id)
         # ignoring type error since mypy cannot determine whether
@@ -408,6 +407,13 @@ def test_pgvector_with_custom_engine_args() -> None:
 @pytest.fixture
 def pgvector() -> Generator[PGVector, None, None]:
     """Create a PGVector instance."""
+    with get_vectorstore() as vector_store:
+        yield vector_store
+
+
+@contextlib.contextmanager
+def get_vectorstore() -> Generator[PGVector, None, None]:
+    """Get a pre-populated-vectorstore"""
     store = PGVector.from_documents(
         documents=DOCUMENTS,
         collection_name="test_collection",
@@ -419,20 +425,19 @@ def pgvector() -> Generator[PGVector, None, None]:
     )
     try:
         yield store
-    # Do clean up
     finally:
         store.drop_tables()
 
 
 @pytest.mark.parametrize("test_filter, expected_ids", TYPE_1_FILTERING_TEST_CASES)
 def test_pgvector_with_with_metadata_filters_1(
-    pgvector: PGVector,
     test_filter: Dict[str, Any],
     expected_ids: List[int],
 ) -> None:
     """Test end to end construction and search."""
-    docs = pgvector.similarity_search("meow", k=5, filter=test_filter)
-    assert [doc.metadata["id"] for doc in docs] == expected_ids, test_filter
+    with get_vectorstore() as pgvector:
+        docs = pgvector.similarity_search("meow", k=5, filter=test_filter)
+        assert [doc.metadata["id"] for doc in docs] == expected_ids, test_filter
 
 
 @pytest.mark.parametrize("test_filter, expected_ids", TYPE_2_FILTERING_TEST_CASES)