mirror of
https://github.com/trustgraph-ai/trustgraph.git
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a2dde9cafb
Cassandra triples services were using syncronous EntityCentricKnowledgeGraph methods from async contexts, and connection state was managed with threading.local which is wrong for asyncio coroutines sharing a single thread. Qdrant services had no async wrapping at all, blocking the event loop on every network call. Rows services had unprotected shared state mutations across concurrent coroutines. - Add async methods to EntityCentricKnowledgeGraph (async_insert, async_get_s/p/o/sp/po/os/spo/all, async_collection_exists, async_create_collection, async_delete_collection) using the existing cassandra_async.async_execute bridge - Rewrite triples write + query services: replace threading.local with asyncio.Lock + dict cache for per-workspace connections, use async ECKG methods for all data operations, keep asyncio.to_thread only for one-time blocking ECKG construction - Wrap all Qdrant calls in asyncio.to_thread across all 6 services (doc/graph/row embeddings write + query), add asyncio.Lock + set cache for collection existence checks - Add asyncio.Lock to rows write + query services to protect shared state (schemas, sessions, config caches) from concurrent mutation - Update all affected tests to match new async patterns
314 lines
11 KiB
Python
314 lines
11 KiB
Python
"""
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Tests for null embedding protection: empty/None vector skipping, entity
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validation, dimension-aware collection creation, and query-time empty
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vector handling.
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Tests the pure functions and logic without Qdrant connections.
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"""
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import pytest
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from unittest.mock import MagicMock, patch, AsyncMock
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from trustgraph.schema import Term, IRI, LITERAL, BLANK
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# ---------------------------------------------------------------------------
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# Graph embeddings: get_term_value
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# ---------------------------------------------------------------------------
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class TestGraphEmbeddingsGetTermValue:
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def test_iri_returns_iri(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import get_term_value
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t = Term(type=IRI, iri="http://example.org/x")
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assert get_term_value(t) == "http://example.org/x"
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def test_literal_returns_value(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import get_term_value
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t = Term(type=LITERAL, value="hello")
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assert get_term_value(t) == "hello"
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def test_blank_returns_id(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import get_term_value
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t = Term(type=BLANK, id="_:b0")
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assert get_term_value(t) == "_:b0"
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def test_none_returns_none(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import get_term_value
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assert get_term_value(None) is None
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def test_blank_with_value_fallback(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import get_term_value
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t = Term(type=BLANK, id="", value="fallback")
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assert get_term_value(t) == "fallback"
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# ---------------------------------------------------------------------------
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# Document embeddings: null vector protection
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# ---------------------------------------------------------------------------
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class TestDocEmbeddingsNullProtection:
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@pytest.mark.asyncio
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async def test_empty_vector_skipped(self):
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"""Embeddings with empty vectors should be silently skipped."""
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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# Mock collection_exists for config check
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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emb = MagicMock()
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emb.chunk_id = "chunk-1"
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emb.vector = [] # Empty vector
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msg.chunks = [emb]
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await proc.store_document_embeddings("user1", msg)
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# No upsert should be called
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_none_vector_skipped(self):
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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emb = MagicMock()
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emb.chunk_id = "chunk-1"
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emb.vector = None # None vector
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msg.chunks = [emb]
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await proc.store_document_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_empty_chunk_id_skipped(self):
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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emb = MagicMock()
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emb.chunk_id = "" # Empty chunk ID
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emb.vector = [0.1, 0.2, 0.3]
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msg.chunks = [emb]
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await proc.store_document_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_valid_embedding_upserted(self):
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import asyncio
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.qdrant.collection_exists.return_value = True
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proc.collection_exists = MagicMock(return_value=True)
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proc._cache_lock = asyncio.Lock()
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proc._known_collections = set()
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msg = MagicMock()
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msg.metadata.collection = "col1"
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emb = MagicMock()
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emb.chunk_id = "chunk-1"
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emb.vector = [0.1, 0.2, 0.3]
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msg.chunks = [emb]
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await proc.store_document_embeddings("user1", msg)
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proc.qdrant.upsert.assert_called_once()
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@pytest.mark.asyncio
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async def test_dimension_in_collection_name(self):
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"""Collection name should include vector dimension."""
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import asyncio
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.qdrant.collection_exists.return_value = True
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proc.collection_exists = MagicMock(return_value=True)
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proc._cache_lock = asyncio.Lock()
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proc._known_collections = set()
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msg = MagicMock()
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msg.metadata.collection = "docs"
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emb = MagicMock()
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emb.chunk_id = "c1"
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emb.vector = [0.0] * 384 # 384-dim vector
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msg.chunks = [emb]
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await proc.store_document_embeddings("alice", msg)
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call_args = proc.qdrant.upsert.call_args
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assert "d_alice_docs_384" in call_args[1]["collection_name"]
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# ---------------------------------------------------------------------------
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# Graph embeddings: null entity and vector protection
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# ---------------------------------------------------------------------------
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class TestGraphEmbeddingsNullProtection:
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@pytest.mark.asyncio
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async def test_empty_entity_skipped(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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entity = MagicMock()
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entity.entity = Term(type=IRI, iri="") # Empty IRI
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entity.vector = [0.1, 0.2, 0.3]
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msg.entities = [entity]
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await proc.store_graph_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_none_entity_skipped(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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entity = MagicMock()
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entity.entity = None # Null entity
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entity.vector = [0.1, 0.2, 0.3]
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msg.entities = [entity]
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await proc.store_graph_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_empty_vector_skipped(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=True)
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msg = MagicMock()
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msg.metadata.collection = "col1"
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entity = MagicMock()
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entity.entity = Term(type=IRI, iri="http://example.org/x")
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entity.vector = [] # Empty vector
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msg.entities = [entity]
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await proc.store_graph_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_valid_entity_and_vector_upserted(self):
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import asyncio
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.qdrant.collection_exists.return_value = True
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proc.collection_exists = MagicMock(return_value=True)
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proc._cache_lock = asyncio.Lock()
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proc._known_collections = set()
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msg = MagicMock()
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msg.metadata.collection = "col1"
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entity = MagicMock()
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entity.entity = Term(type=IRI, iri="http://example.org/Alice")
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entity.vector = [0.1, 0.2, 0.3]
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entity.chunk_id = "c1"
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msg.entities = [entity]
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await proc.store_graph_embeddings("user1", msg)
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proc.qdrant.upsert.assert_called_once()
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@pytest.mark.asyncio
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async def test_lazy_collection_creation_on_new_dimension(self):
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import asyncio
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.qdrant.collection_exists.return_value = False
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proc.collection_exists = MagicMock(return_value=True)
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proc._cache_lock = asyncio.Lock()
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proc._known_collections = set()
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msg = MagicMock()
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msg.metadata.collection = "graphs"
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entity = MagicMock()
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entity.entity = Term(type=IRI, iri="http://example.org/x")
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entity.vector = [0.0] * 768
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entity.chunk_id = ""
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msg.entities = [entity]
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await proc.store_graph_embeddings("alice", msg)
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# Collection should be created with correct dimension
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proc.qdrant.create_collection.assert_called_once()
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create_args = proc.qdrant.create_collection.call_args
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assert create_args[1]["collection_name"] == "t_alice_graphs_768"
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# ---------------------------------------------------------------------------
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# Collection validation — deleted-while-in-flight protection
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# ---------------------------------------------------------------------------
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class TestCollectionValidation:
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@pytest.mark.asyncio
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async def test_doc_embeddings_dropped_for_deleted_collection(self):
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from trustgraph.storage.doc_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=False)
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msg = MagicMock()
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msg.metadata.collection = "deleted-col"
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msg.chunks = [MagicMock()]
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await proc.store_document_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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@pytest.mark.asyncio
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async def test_graph_embeddings_dropped_for_deleted_collection(self):
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from trustgraph.storage.graph_embeddings.qdrant.write import Processor
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proc = Processor.__new__(Processor)
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proc.qdrant = MagicMock()
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proc.collection_exists = MagicMock(return_value=False)
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msg = MagicMock()
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msg.metadata.collection = "deleted-col"
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msg.entities = [MagicMock()]
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await proc.store_graph_embeddings("user1", msg)
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proc.qdrant.upsert.assert_not_called()
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