Files
library-desk/tests/test_document_sync.py
T
jpmschweitzerandClaude Fable 5 9681a63757 fix: upsert document vectors before pruning stale chunks
DocumentSyncService._index_vectors ran delete_by_filter on the
document's existing chunks FIRST and only then embedded; if the
embedding pass failed (Ollama down) the Paperless document was left
with zero vectors until the next successful sync - the same
zero-vector hazard already fixed for wiki pages in
VectorService.update_from_page.

Chunk ids are now deterministic uuid5 (document_{id}_chunk_{i}) so
re-upserting overwrites in place; new points are upserted first, then
stale points (including legacy random-uuid4 ones) are pruned via
scroll + delete_by_ids, and only after a successful upsert.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QbFZyDvYksazX6nYQYZ67L
2026-07-14 15:19:03 +02:00

177 lines
6.4 KiB
Python

"""
Offline unit tests for DocumentSyncService vector indexing fixes.
Pins the Phase D fixes:
- ensure_collection is actually awaited (it used to be a bare coroutine
that never ran, so fresh tenants had no collection at upsert time)
- None entries from embed_batch are filtered out instead of poisoning
the whole batch upsert (one failed chunk aborted the document)
- delete-LAST reindex order (same as the wiki fix): new points are
upserted with deterministic uuid5 ids BEFORE stale points are pruned,
so a failed embedding pass can no longer leave a document with zero
vectors (the old order ran delete_by_filter first)
"""
import uuid
from unittest.mock import AsyncMock, MagicMock
import pytest
from src.services.document_sync_service import DocumentSyncService
TENANT = "llm_tester"
TENANT_COLLECTION = "library_desk_llm_tester"
@pytest.fixture
def mock_qdrant():
qdrant = MagicMock()
qdrant.ensure_collection = AsyncMock()
qdrant.upsert_points = AsyncMock(side_effect=lambda collection_name, points: len(points))
qdrant.scroll_all_points = AsyncMock(return_value=[])
qdrant.delete_by_ids = AsyncMock(side_effect=lambda collection_name, point_ids: len(point_ids))
return qdrant
@pytest.fixture
def mock_ollama():
ollama = MagicMock()
ollama.embed_batch = AsyncMock(
side_effect=lambda texts: [[0.1] * 768 for _ in texts]
)
return ollama
@pytest.fixture
def mock_neo4j():
neo4j = MagicMock()
neo4j.execute_query = AsyncMock(return_value=[])
neo4j.execute_write = AsyncMock(return_value=[])
return neo4j
@pytest.fixture
def mock_paperless():
paperless = MagicMock()
paperless.get_custom_field_by_name = AsyncMock(return_value=None)
return paperless
@pytest.fixture
def sync_service(mock_paperless, mock_qdrant, mock_ollama, mock_neo4j):
return DocumentSyncService(
paperless_client=mock_paperless,
qdrant_client=mock_qdrant,
ollama_client=mock_ollama,
neo4j_client=mock_neo4j,
wiki_client=MagicMock(),
settings=MagicMock(),
)
@pytest.mark.unit
class TestIndexVectors:
async def test_ensure_collection_is_awaited(self, sync_service, mock_qdrant):
result = await sync_service.index_document(
document_id=1, user=TENANT, content="hello world", title="Doc"
)
assert result.success is True
mock_qdrant.ensure_collection.assert_awaited_once_with(TENANT_COLLECTION)
async def test_point_ids_are_deterministic(self, sync_service, mock_qdrant):
await sync_service.index_document(
document_id=7, user=TENANT, content="hello world", title="Doc"
)
points = mock_qdrant.upsert_points.await_args.kwargs["points"]
expected = str(uuid.uuid5(uuid.NAMESPACE_DNS, "document_7_chunk_0"))
assert points[0]["id"] == expected
async def test_stale_chunks_pruned_after_upsert(self, sync_service, mock_qdrant):
"""Old points not in the new set are deleted AFTER the new upsert."""
call_order = []
mock_qdrant.upsert_points = AsyncMock(
side_effect=lambda collection_name, points: (
call_order.append("upsert"), len(points))[1]
)
stale_id = str(uuid.uuid4()) # legacy random-uuid4 point
kept_id = str(uuid.uuid5(uuid.NAMESPACE_DNS, "document_7_chunk_0"))
mock_qdrant.scroll_all_points = AsyncMock(
return_value=[{"id": stale_id, "payload": {}},
{"id": kept_id, "payload": {}}]
)
mock_qdrant.delete_by_ids = AsyncMock(
side_effect=lambda collection_name, point_ids: (
call_order.append("delete"), len(point_ids))[1]
)
await sync_service.index_document(
document_id=7, user=TENANT, content="hello world", title="Doc"
)
assert call_order == ["upsert", "delete"]
mock_qdrant.delete_by_ids.assert_awaited_once_with(
collection_name=TENANT_COLLECTION,
point_ids=[stale_id],
)
mock_qdrant.scroll_all_points.assert_awaited_once_with(
collection_name=TENANT_COLLECTION,
filter_conditions={"doc_type": "document", "paperless_id": 7},
with_payload=False,
)
async def test_upsert_routed_through_wrapper(self, sync_service, mock_qdrant):
result = await sync_service.index_document(
document_id=1, user=TENANT, content="hello world", title="Doc"
)
assert result.chunks_created == 1
kwargs = mock_qdrant.upsert_points.await_args.kwargs
assert kwargs["collection_name"] == TENANT_COLLECTION
payload = kwargs["points"][0]["payload"]
assert payload["doc_type"] == "document"
assert payload["paperless_id"] == 1
async def test_failed_chunk_embedding_is_skipped_not_fatal(
self, sync_service, mock_qdrant, mock_ollama
):
# Three chunks; the middle embedding fails
long_content = " ".join(f"word{i}" for i in range(1200))
mock_ollama.embed_batch = AsyncMock(
side_effect=lambda texts: [
[0.1] * 768 if i != 1 else None for i in range(len(texts))
]
)
result = await sync_service.index_document(
document_id=2, user=TENANT, content=long_content, title="Doc"
)
assert result.success is True
points = mock_qdrant.upsert_points.await_args.kwargs["points"]
assert result.chunks_created == len(points)
# The failed chunk (index 1) is absent, the others kept their index
indices = [p["payload"]["chunk_index"] for p in points]
assert 1 not in indices
assert len(indices) >= 2
async def test_all_embeddings_failed_reports_failure(
self, sync_service, mock_qdrant, mock_ollama
):
mock_ollama.embed_batch = AsyncMock(
side_effect=lambda texts: [None for _ in texts]
)
result = await sync_service.index_document(
document_id=3, user=TENANT, content="hello world", title="Doc"
)
assert result.success is False
assert "embed" in (result.error or "").lower()
mock_qdrant.upsert_points.assert_not_awaited()
# Delete-last: a fully failed embedding pass must leave the old
# vectors untouched (previously delete_by_filter ran first, leaving
# the document with zero vectors until the next successful sync)
mock_qdrant.delete_by_ids.assert_not_awaited()