core[minor]: Add support for DocumentIndex in the index api (#25100)

Support document index in the index api.
This commit is contained in:
Eugene Yurtsev
2024-08-06 15:30:49 -04:00
committed by GitHub
parent 264ab96980
commit d283f452cc
3 changed files with 183 additions and 39 deletions

View File

@@ -16,6 +16,7 @@ from langchain_core.documents import Document
from langchain_core.embeddings import DeterministicFakeEmbedding
from langchain_core.indexing import InMemoryRecordManager, aindex, index
from langchain_core.indexing.api import _abatch, _HashedDocument
from langchain_core.indexing.in_memory import InMemoryDocumentIndex
from langchain_core.vectorstores import InMemoryVectorStore, VectorStore
@@ -1284,7 +1285,10 @@ def test_indexing_custom_batch_size(
index(docs, record_manager, vector_store, batch_size=batch_size)
args, kwargs = mock_add_documents.call_args
assert args == (docs,)
doc_with_id = Document(
id=ids[0], page_content="This is a test document.", metadata={"source": "1"}
)
assert args == ([doc_with_id],)
assert kwargs == {"ids": ids, "batch_size": batch_size}
finally:
vector_store.add_documents = original # type: ignore
@@ -1304,8 +1308,102 @@ async def test_aindexing_custom_batch_size(
batch_size = 1
mock_add_documents = AsyncMock()
doc_with_id = Document(
id=ids[0], page_content="This is a test document.", metadata={"source": "1"}
)
vector_store.aadd_documents = mock_add_documents # type: ignore
await aindex(docs, arecord_manager, vector_store, batch_size=batch_size)
args, kwargs = mock_add_documents.call_args
assert args == (docs,)
assert args == ([doc_with_id],)
assert kwargs == {"ids": ids, "batch_size": batch_size}
def test_index_into_document_index(record_manager: InMemoryRecordManager) -> None:
"""Get an in memory index."""
document_index = InMemoryDocumentIndex()
docs = [
Document(
page_content="This is a test document.",
metadata={"source": "1"},
),
Document(
page_content="This is another document.",
metadata={"source": "2"},
),
]
assert index(docs, record_manager, document_index, cleanup="full") == {
"num_added": 2,
"num_deleted": 0,
"num_skipped": 0,
"num_updated": 0,
}
assert index(docs, record_manager, document_index, cleanup="full") == {
"num_added": 0,
"num_deleted": 0,
"num_skipped": 2,
"num_updated": 0,
}
assert index(
docs, record_manager, document_index, cleanup="full", force_update=True
) == {
"num_added": 0,
"num_deleted": 0,
"num_skipped": 0,
"num_updated": 2,
}
assert index([], record_manager, document_index, cleanup="full") == {
"num_added": 0,
"num_deleted": 2,
"num_skipped": 0,
"num_updated": 0,
}
async def test_aindex_into_document_index(
arecord_manager: InMemoryRecordManager,
) -> None:
"""Get an in memory index."""
document_index = InMemoryDocumentIndex()
docs = [
Document(
page_content="This is a test document.",
metadata={"source": "1"},
),
Document(
page_content="This is another document.",
metadata={"source": "2"},
),
]
assert await aindex(docs, arecord_manager, document_index, cleanup="full") == {
"num_added": 2,
"num_deleted": 0,
"num_skipped": 0,
"num_updated": 0,
}
assert await aindex(docs, arecord_manager, document_index, cleanup="full") == {
"num_added": 0,
"num_deleted": 0,
"num_skipped": 2,
"num_updated": 0,
}
assert await aindex(
docs, arecord_manager, document_index, cleanup="full", force_update=True
) == {
"num_added": 0,
"num_deleted": 0,
"num_skipped": 0,
"num_updated": 2,
}
assert await aindex([], arecord_manager, document_index, cleanup="full") == {
"num_added": 0,
"num_deleted": 2,
"num_skipped": 0,
"num_updated": 0,
}