Updated documents

libs/community/tests/integration_tests/vectorstores/test_weaviate.py

@@ -11,13 +11,12 @@
 
 import logging
 import os
+import pytest
+from pytest import approx
 import uuid
 from typing import Generator, Union
 
-import pytest
 from langchain_core.documents import Document
-from pytest import approx
-
 from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.vectorstores.weaviate import Weaviate
 from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings

libs/langchain/tests/integration_tests/retrievers/self_query/test_base.py

@@ -47,4 +47,3 @@ def test_weaviate() -> None:
 
     # Test the retriever
     retriever.get_relevant_documents("test")
-    print("Successfully passed test_weaviate")

libs/langchain/tests/integration_tests/vectorstores/test_weaviate.py

@@ -1,4 +1,4 @@
-"""Test Weaviate V4 functionality.
+"""Test Weaviate V4 functionality under libs/langchain/
 
 # Launch the Weaviate pod
 cd tests/integration_tests/vectorstores/docker-compose
@@ -11,15 +11,13 @@
 
 import logging
 import os
-import uuid
 from typing import Generator, Union
 
 import pytest
 import weaviate
 from langchain_core.documents import Document
 from langchain_openai import OpenAIEmbeddings
 from langchain_weaviate.vectorstores import WeaviateVectorStore
-from pytest import approx
 from weaviate.classes.config import DataType, Property
 from weaviate.classes.query import Filter
 
@@ -70,6 +68,7 @@ def weaviate_client(
             host=weaviate_host, port=weaviate_port
         )
         # Create the collection if not exists
+        # The collection name is assumed to be "test" throughout the test module
         if not weaviate_client.collections.exists("test"):
             weaviate_client.collections.create(
                 name="test", properties=[Property(name="name", data_type=DataType.TEXT)]