test_qdrant_from_texts_stores_metadatas() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/async_api/test_from_texts.py lines 247–268

async def test_qdrant_from_texts_stores_metadatas(
    batch_size: int,
    content_payload_key: str,
    metadata_payload_key: str,
    qdrant_location: str,
) -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": i} for i in range(len(texts))]
    docsearch = await Qdrant.afrom_texts(
        texts,
        ConsistentFakeEmbeddings(),
        metadatas=metadatas,
        content_payload_key=content_payload_key,
        metadata_payload_key=metadata_payload_key,
        batch_size=batch_size,
        location=qdrant_location,
    )
    output = await docsearch.asimilarity_search("foo", k=1)
    assert_documents_equals(
        output, [Document(page_content="foo", metadata={"page": 0})]
    )