test_qdrant_similarity_search_filters_with_qdrant_filters() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/async_api/test_similarity_search.py lines 230–275

async def test_qdrant_similarity_search_filters_with_qdrant_filters(
    vector_name: str | None,
    qdrant_location: str,
) -> None:
    """Test end to end construction and search."""
    from qdrant_client.http import models as rest

    texts = ["foo", "bar", "baz"]
    metadatas = [
        {"page": i, "details": {"page": i + 1, "pages": [i + 2, -1]}}
        for i in range(len(texts))
    ]
    docsearch = Qdrant.from_texts(
        texts,
        ConsistentFakeEmbeddings(),
        metadatas=metadatas,
        vector_name=vector_name,
        location=qdrant_location,
    )

    qdrant_filter = rest.Filter(
        must=[
            rest.FieldCondition(
                key="metadata.page",
                match=rest.MatchValue(value=1),
            ),
            rest.FieldCondition(
                key="metadata.details.page",
                match=rest.MatchValue(value=2),
            ),
            rest.FieldCondition(
                key="metadata.details.pages",
                match=rest.MatchAny(any=[3]),
            ),
        ]
    )
    output = await docsearch.asimilarity_search("foo", k=1, filter=qdrant_filter)
    assert_documents_equals(
        output,
        [
            Document(
                page_content="bar",
                metadata={"page": 1, "details": {"page": 2, "pages": [3, -1]}},
            )
        ],
    )