test_afull_cleanup_with_different_batchsize() — langchain Function Reference
Architecture documentation for the test_afull_cleanup_with_different_batchsize() function in test_indexing.py from the langchain codebase.
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Dependency Diagram
graph TD 23e258b8_2211_8bd0_4060_4efa2f4f410f["test_afull_cleanup_with_different_batchsize()"] 576ad89d_c8dc_eddf_9cd2_c8ae0e7c9978["test_indexing.py"] 23e258b8_2211_8bd0_4060_4efa2f4f410f -->|defined in| 576ad89d_c8dc_eddf_9cd2_c8ae0e7c9978 style 23e258b8_2211_8bd0_4060_4efa2f4f410f fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/indexing/test_indexing.py lines 2267–2312
async def test_afull_cleanup_with_different_batchsize(
arecord_manager: InMemoryRecordManager, vector_store: InMemoryVectorStore
) -> 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 await aindex(
docs,
arecord_manager,
vector_store,
cleanup="full",
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 await aindex(
docs,
arecord_manager,
vector_store,
cleanup="full",
cleanup_batch_size=17,
key_encoder="sha256",
) == {
"num_added": 1001,
"num_deleted": 1000,
"num_skipped": 0,
"num_updated": 0,
}
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Source
Frequently Asked Questions
What does test_afull_cleanup_with_different_batchsize() do?
test_afull_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_afull_cleanup_with_different_batchsize() defined?
test_afull_cleanup_with_different_batchsize() is defined in libs/core/tests/unit_tests/indexing/test_indexing.py at line 2267.
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