Home / Function/ test_incremental_cleanup_with_different_batchsize() — langchain Function Reference

test_incremental_cleanup_with_different_batchsize() — langchain Function Reference

Architecture documentation for the test_incremental_cleanup_with_different_batchsize() function in test_indexing.py from the langchain codebase.

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Dependency Diagram

graph TD
  ca7e08fd_6d32_ae94_dd70_472645c17662["test_incremental_cleanup_with_different_batchsize()"]
  576ad89d_c8dc_eddf_9cd2_c8ae0e7c9978["test_indexing.py"]
  ca7e08fd_6d32_ae94_dd70_472645c17662 -->|defined in| 576ad89d_c8dc_eddf_9cd2_c8ae0e7c9978
  style ca7e08fd_6d32_ae94_dd70_472645c17662 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/core/tests/unit_tests/indexing/test_indexing.py lines 2217–2264

def test_incremental_cleanup_with_different_batchsize(
    record_manager: InMemoryRecordManager, vector_store: VectorStore
) -> None:
    """Check that we can clean up with different batch size."""
    docs = [
        Document(
            page_content="This is a test document.",
            metadata={"source": str(d)},
        )
        for d in range(1000)
    ]

    assert index(
        docs,
        record_manager,
        vector_store,
        source_id_key="source",
        cleanup="incremental",
        key_encoder="sha256",
    ) == {
        "num_added": 1000,
        "num_deleted": 0,
        "num_skipped": 0,
        "num_updated": 0,
    }

    docs = [
        Document(
            page_content="Different doc",
            metadata={"source": str(d)},
        )
        for d in range(1001)
    ]

    assert index(
        docs,
        record_manager,
        vector_store,
        source_id_key="source",
        cleanup="incremental",
        cleanup_batch_size=17,
        key_encoder="sha256",
    ) == {
        "num_added": 1001,
        "num_deleted": 1000,
        "num_skipped": 0,
        "num_updated": 0,
    }

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Frequently Asked Questions

What does test_incremental_cleanup_with_different_batchsize() do?
test_incremental_cleanup_with_different_batchsize() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/indexing/test_indexing.py.
Where is test_incremental_cleanup_with_different_batchsize() defined?
test_incremental_cleanup_with_different_batchsize() is defined in libs/core/tests/unit_tests/indexing/test_indexing.py at line 2217.

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