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hkuds--lightrag/tests/kg/mongo_impl/test_mongo_deferred_embedding.py
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2026-07-13 12:08:54 +08:00

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Python

"""Unit tests for MongoVectorDBStorage's deferred-embedding flush pipeline.
All tests use mocks — no running MongoDB instance required.
Mirrors the structure of tests/kg/opensearch_impl/test_opensearch_storage.py's
TestVectorStorageBatching to keep behaviour aligned across backends.
"""
import asyncio
import os
import numpy as np
import pytest
from unittest.mock import AsyncMock, MagicMock, patch
pytest.importorskip(
"pymongo",
reason="pymongo is required for Mongo storage tests",
)
from pymongo import UpdateOne # type: ignore
from lightrag.kg.mongo_impl import MongoVectorDBStorage
pytestmark = pytest.mark.offline
# ---------------------------------------------------------------------------
# Fixtures and helpers
# ---------------------------------------------------------------------------
class MockEmbeddingFunc:
def __init__(self, dim=8):
self.embedding_dim = dim
self.max_token_size = 512
self.model_name = "mock-embed"
async def __call__(self, texts, **kwargs):
return np.random.rand(len(texts), self.embedding_dim).astype(np.float32)
class CountingEmbeddingFunc(MockEmbeddingFunc):
def __init__(self, dim=8, fail_times=0):
super().__init__(dim=dim)
self.fail_times = fail_times
self.call_count = 0
self.batches: list[list[str]] = []
self.texts: list[str] = []
async def __call__(self, texts, **kwargs):
self.call_count += 1
batch = list(texts)
self.batches.append(batch)
self.texts.extend(batch)
if self.fail_times > 0:
self.fail_times -= 1
raise RuntimeError("embedding failed")
return await super().__call__(texts, **kwargs)
class _AsyncCursor:
def __init__(self, docs):
self._docs = list(docs)
async def to_list(self, length=None):
return list(self._docs)
@pytest.fixture(autouse=True)
def patch_namespace_lock(monkeypatch):
"""Cache real asyncio.Locks per (namespace, workspace) for shared semantics.
Also unconditionally clears ``MONGODB_WORKSPACE`` so tests are insulated
from shell-level env leakage: ``final_namespace`` depends on this var,
and a leaked value (e.g. ``space2``) silently collapses distinct
workspaces into one namespace. Tests that need an override set it
explicitly via ``patch.dict(os.environ, ...)``.
"""
monkeypatch.delenv("MONGODB_WORKSPACE", raising=False)
cache: dict[tuple[str, str | None], asyncio.Lock] = {}
def factory(namespace, workspace=None, enable_logging=False):
key = (namespace, workspace or "")
lock = cache.get(key)
if lock is None:
lock = asyncio.Lock()
cache[key] = lock
return lock
with patch("lightrag.kg.mongo_impl.get_namespace_lock", side_effect=factory):
yield cache
def _make_storage(
embed_func,
*,
namespace="entities",
workspace="test",
meta_fields=None,
):
if meta_fields is None:
meta_fields = {"content", "entity_name", "src_id", "tgt_id"}
storage = MongoVectorDBStorage(
namespace=namespace,
workspace=workspace,
global_config={
"embedding_batch_num": 10,
"vector_db_storage_cls_kwargs": {"cosine_better_than_threshold": 0.2},
},
embedding_func=embed_func,
meta_fields=meta_fields,
)
# Wire a fake AsyncCollection (the only Mongo surface our code touches).
storage._data = MagicMock()
storage._data.bulk_write = AsyncMock()
storage._data.delete_many = AsyncMock(return_value=MagicMock(deleted_count=0))
storage._data.find_one = AsyncMock(return_value=None)
storage._data.find = MagicMock(return_value=_AsyncCursor([]))
storage.db = MagicMock() # non-None so finalize releases it
from lightrag.kg.mongo_impl import get_namespace_lock
storage._flush_lock = get_namespace_lock(
namespace=storage.final_namespace, workspace=""
)
return storage
# ---------------------------------------------------------------------------
# Tests
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_upsert_buffers_without_embedding():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello"}, "v2": {"content": "world"}})
assert embed.call_count == 0
assert set(s._pending_vector_docs.keys()) == {"v1", "v2"}
assert s._pending_vector_docs["v1"].vector is None
s._data.bulk_write.assert_not_called()
@pytest.mark.asyncio
async def test_index_done_callback_triggers_flush():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello"}, "v2": {"content": "world"}})
await s.index_done_callback()
assert embed.call_count == 1
s._data.bulk_write.assert_called_once()
ops, kwargs = (
s._data.bulk_write.call_args.args[0],
s._data.bulk_write.call_args.kwargs,
)
assert kwargs.get("ordered") is False
assert all(isinstance(op, UpdateOne) for op in ops)
assert len(ops) == 2
assert s._pending_vector_docs == {}
@pytest.mark.asyncio
async def test_repeated_upsert_same_id_embeds_once():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "first"}})
await s.upsert({"v1": {"content": "second"}})
await s.upsert({"v1": {"content": "third"}})
await s.index_done_callback()
assert embed.call_count == 1
assert embed.texts == ["third"]
s._data.bulk_write.assert_called_once()
@pytest.mark.asyncio
async def test_deferred_embeddings_respect_batch_size():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._max_batch_size = 2
await s.upsert({f"v{i}": {"content": f"doc {i}"} for i in range(5)})
await s.index_done_callback()
assert embed.call_count == 3
assert [len(b) for b in embed.batches] == [2, 2, 1]
@pytest.mark.asyncio
async def test_get_vectors_by_ids_lazy_embed_then_reuse_in_flush():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello"}})
vectors = await s.get_vectors_by_ids(["v1"])
assert "v1" in vectors
assert embed.call_count == 1
assert s._pending_vector_docs["v1"].vector is not None
await s.index_done_callback()
assert embed.call_count == 1
s._data.bulk_write.assert_called_once()
@pytest.mark.asyncio
async def test_flush_failure_keeps_buffer_no_double_embed_on_retry():
embed = CountingEmbeddingFunc(fail_times=1)
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello"}})
with pytest.raises(RuntimeError, match="embedding failed"):
await s.index_done_callback()
assert "v1" in s._pending_vector_docs
assert s._pending_vector_docs["v1"].vector is None
s._data.bulk_write.assert_not_called()
await s.index_done_callback()
assert embed.call_count == 2
s._data.bulk_write.assert_called_once()
assert s._pending_vector_docs == {}
@pytest.mark.asyncio
async def test_server_write_failure_keeps_buffer():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._data.bulk_write.side_effect = RuntimeError("mongo down")
await s.upsert({"v1": {"content": "hello"}})
with pytest.raises(RuntimeError, match="mongo down"):
await s.index_done_callback()
assert "v1" in s._pending_vector_docs
assert s._pending_vector_docs["v1"].vector is not None
s._data.bulk_write.side_effect = None
await s.index_done_callback()
assert embed.call_count == 1
assert s._pending_vector_docs == {}
@pytest.mark.asyncio
async def test_finalize_raises_when_buffer_unflushed_and_still_releases_client():
"""finalize() must release the Mongo client even when the flush fails."""
from lightrag.kg.mongo_impl import ClientManager
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._data.bulk_write.side_effect = RuntimeError("mongo down")
await s.upsert({"v1": {"content": "hello"}})
with patch.object(ClientManager, "release_client", new=AsyncMock()) as rel:
with pytest.raises(RuntimeError, match="finalize.*flush raised") as exc_info:
await s.finalize()
rel.assert_awaited_once()
# Operator-diagnostic counts must appear in the message so the buffered
# data loss is auditable from the log alone (1 upsert pre-loaded, 0 deletes).
msg = str(exc_info.value)
assert "1 pending upserts" in msg
assert "0 pending deletes" in msg
# Client references cleared so a second finalize doesn't release twice.
assert s.db is None
@pytest.mark.asyncio
async def test_delete_then_upsert_same_id_keeps_upsert():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.delete(["v1"])
assert "v1" in s._pending_vector_deletes
await s.upsert({"v1": {"content": "hello"}})
assert "v1" in s._pending_vector_docs
assert "v1" not in s._pending_vector_deletes
await s.index_done_callback()
ops = s._data.bulk_write.call_args.args[0]
assert all(isinstance(op, UpdateOne) for op in ops)
@pytest.mark.asyncio
async def test_upsert_then_delete_same_id_keeps_delete():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello"}})
await s.delete(["v1"])
assert "v1" not in s._pending_vector_docs
assert "v1" in s._pending_vector_deletes
await s.index_done_callback()
s._data.bulk_write.assert_not_called()
s._data.delete_many.assert_awaited_once_with({"_id": {"$in": ["v1"]}})
assert s._pending_vector_deletes == set()
@pytest.mark.asyncio
async def test_flush_uses_update_one_and_delete_many_mix():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"u1": {"content": "u1"}, "u2": {"content": "u2"}})
await s.delete(["d1", "d2"])
await s.index_done_callback()
ops = s._data.bulk_write.call_args.args[0]
assert sum(isinstance(op, UpdateOne) for op in ops) == 2
s._data.delete_many.assert_awaited_once()
delete_filter = s._data.delete_many.await_args.args[0]
assert set(delete_filter["_id"]["$in"]) == {"d1", "d2"}
@pytest.mark.asyncio
async def test_flush_chunks_deletes_by_record_count():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._max_delete_records_per_batch = 2
await s.delete([f"d{i}" for i in range(5)])
await s.index_done_callback()
assert s._data.delete_many.await_count == 3
chunk_sizes = sorted(
len(call.args[0]["_id"]["$in"]) for call in s._data.delete_many.await_args_list
)
assert chunk_sizes == [1, 2, 2]
assert s._pending_vector_deletes == set()
@pytest.mark.asyncio
async def test_delete_entity_relation_raises_on_server_failure():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._data.find = MagicMock(
return_value=_AsyncCursor([{"_id": "rel1"}, {"_id": "rel2"}])
)
s._data.delete_many = AsyncMock(side_effect=RuntimeError("mongo delete failed"))
with pytest.raises(RuntimeError, match="mongo delete failed"):
await s.delete_entity_relation("X")
@pytest.mark.asyncio
async def test_delete_entity_relation_prunes_pending_buffer():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert(
{
"rel-A-B": {"content": "A → B", "src_id": "A", "tgt_id": "B"},
"rel-C-D": {"content": "C → D", "src_id": "C", "tgt_id": "D"},
}
)
s._data.find = MagicMock(return_value=_AsyncCursor([]))
await s.delete_entity_relation("A")
assert "rel-A-B" not in s._pending_vector_docs
assert "rel-C-D" in s._pending_vector_docs
@pytest.mark.asyncio
async def test_get_by_id_buffer_excludes_vector():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "hello", "entity_name": "E1"}})
doc = await s.get_by_id("v1")
assert doc is not None
assert doc["id"] == "v1"
assert doc.get("entity_name") == "E1"
assert "vector" not in doc
s._data.find_one.assert_not_called()
@pytest.mark.asyncio
async def test_get_by_id_fallback_projects_out_vector():
"""Server-side find_one must request projection={'vector': 0}."""
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._data.find_one = AsyncMock(
return_value={"_id": "v9", "entity_name": "X", "created_at": 0}
)
doc = await s.get_by_id("v9")
assert doc is not None
assert "vector" not in doc
args, kwargs = s._data.find_one.call_args.args, s._data.find_one.call_args.kwargs
# projection is positional arg #2 in Mongo's API.
projection = args[1] if len(args) > 1 else kwargs.get("projection")
assert projection == {"vector": 0}
@pytest.mark.asyncio
async def test_get_by_ids_fallback_projects_out_vector():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
s._data.find = MagicMock(
return_value=_AsyncCursor(
[{"_id": "a", "entity_name": "A"}, {"_id": "b", "entity_name": "B"}]
)
)
docs = await s.get_by_ids(["a", "b"])
assert len(docs) == 2
assert all("vector" not in d for d in docs if d)
args, kwargs = s._data.find.call_args.args, s._data.find.call_args.kwargs
projection = args[1] if len(args) > 1 else kwargs.get("projection")
assert projection == {"vector": 0}
@pytest.mark.asyncio
async def test_get_by_id_returns_none_for_pending_delete():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.delete(["v1"])
assert await s.get_by_id("v1") is None
s._data.find_one.assert_not_called()
@pytest.mark.asyncio
async def test_env_workspace_override_shares_flush_lock(patch_namespace_lock):
cache = patch_namespace_lock
embed = CountingEmbeddingFunc()
with patch.dict(os.environ, {"MONGODB_WORKSPACE": "shared_ws"}, clear=False):
a = _make_storage(embed, workspace="caller_a")
b = _make_storage(embed, workspace="caller_b")
assert a.final_namespace == b.final_namespace == "shared_ws_entities"
assert a._flush_lock is b._flush_lock
assert len([k for k in cache if k[0] == "shared_ws_entities"]) == 1
@pytest.mark.asyncio
async def test_same_workspace_param_shares_flush_lock(patch_namespace_lock):
"""Plain ctor path (no MONGODB_WORKSPACE env): same workspace → shared lock.
Companion to ``test_env_workspace_override_shares_flush_lock``; together
they cover both ways two instances can land on the same final_namespace.
The autouse fixture clears MONGODB_WORKSPACE so this exercises the plain
constructor path, not the env-override path.
"""
cache = patch_namespace_lock
embed = CountingEmbeddingFunc()
a = _make_storage(embed, workspace="caller")
b = _make_storage(embed, workspace="caller")
assert a.final_namespace == b.final_namespace == "caller_entities"
assert a._flush_lock is b._flush_lock
assert len([k for k in cache if k[0] == "caller_entities"]) == 1
@pytest.mark.asyncio
async def test_distinct_namespaces_get_independent_locks():
embed = CountingEmbeddingFunc()
a = _make_storage(embed, workspace="a")
b = _make_storage(embed, workspace="b")
assert a.final_namespace != b.final_namespace
assert a._flush_lock is not b._flush_lock
@pytest.mark.asyncio
async def test_concurrent_upsert_and_flush_serialize_on_lock():
"""upsert() and index_done_callback() racing on the same namespace must
not corrupt the buffer or split a single doc across two embed calls.
Drives a slow embed (asyncio.Event-gated) so the flush genuinely holds
the lock while a second coroutine attempts upsert mid-flight. Asserts:
- the late upsert lands in the buffer (not silently dropped)
- it is *not* embedded by the in-flight flush (still pending after)
- a follow-up flush picks it up cleanly with exactly one extra embed
Note: we replace ``s.embedding_func`` directly (not ``patch.object`` on
``embed.__call__``) because Python dispatches ``embed(...)`` through
``type(embed).__call__``, bypassing any instance-level patch.
"""
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
embed_gate = asyncio.Event()
flush_entered = asyncio.Event()
original_embed = s.embedding_func
async def gated_embed(texts, **kwargs):
flush_entered.set()
await embed_gate.wait()
return await original_embed(texts, **kwargs)
await s.upsert({"v1": {"content": "first"}})
s.embedding_func = gated_embed
try:
flush_task = asyncio.create_task(s.index_done_callback())
await flush_entered.wait() # flush is now holding _flush_lock
# This upsert must wait on _flush_lock; schedule it concurrently.
late_upsert = asyncio.create_task(s.upsert({"v2": {"content": "late"}}))
# Give the event loop a chance to actually start late_upsert and
# confirm it is blocked on the lock (still no v2 in buffer).
for _ in range(5):
await asyncio.sleep(0)
assert "v2" not in s._pending_vector_docs
assert not late_upsert.done()
embed_gate.set()
await flush_task
await late_upsert
finally:
s.embedding_func = original_embed
# Flush embedded v1 only; v2 arrived after the docs_to_embed snapshot.
assert embed.call_count == 1
assert embed.batches == [["first"]]
assert "v1" not in s._pending_vector_docs # flushed
assert "v2" in s._pending_vector_docs # still buffered
s._data.bulk_write.assert_called_once()
# Next flush picks up the late upsert without re-embedding v1.
await s.index_done_callback()
assert embed.call_count == 2
assert embed.batches[-1] == ["late"]
assert s._pending_vector_docs == {}
assert s._data.bulk_write.call_count == 2
@pytest.mark.asyncio
async def test_drop_clears_pending_buffers():
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
with patch.object(s, "create_vector_index_if_not_exists", new=AsyncMock()):
await s.upsert({"v1": {"content": "hello"}})
await s.delete(["v2"])
assert s._pending_vector_docs and s._pending_vector_deletes
result = await s.drop()
assert result["status"] == "success"
assert s._pending_vector_docs == {}
assert s._pending_vector_deletes == set()
@pytest.mark.offline
@pytest.mark.asyncio
async def test_drop_pending_index_ops_clears_buffers():
"""On an internal-error abort the pipeline calls drop_pending_index_ops to
discard buffered upserts/deletes without flushing them (PR #3187)."""
embed = CountingEmbeddingFunc()
s = _make_storage(embed)
await s.upsert({"v1": {"content": "x"}, "v2": {"content": "y"}})
s._pending_vector_deletes.add("old-id")
assert s._pending_vector_docs
await s.drop_pending_index_ops()
assert not s._pending_vector_docs
assert not s._pending_vector_deletes