cognee/cognee/tests/unit/modules/retrieval/triplet_retriever_test.py
2025-12-10 18:18:24 +01:00

137 lines
4.6 KiB
Python

import pytest
from unittest.mock import AsyncMock, patch, MagicMock
from cognee.modules.retrieval.triplet_retriever import TripletRetriever
from cognee.modules.retrieval.exceptions.exceptions import NoDataError
from cognee.infrastructure.databases.vector.exceptions import CollectionNotFoundError
@pytest.fixture
def mock_vector_engine():
"""Create a mock vector engine."""
engine = AsyncMock()
engine.has_collection = AsyncMock(return_value=True)
engine.search = AsyncMock()
return engine
@pytest.mark.asyncio
async def test_get_context_success(mock_vector_engine):
"""Test successful retrieval of triplet context."""
mock_result1 = MagicMock()
mock_result1.payload = {"text": "Alice knows Bob"}
mock_result2 = MagicMock()
mock_result2.payload = {"text": "Bob works at Tech Corp"}
mock_vector_engine.search.return_value = [mock_result1, mock_result2]
retriever = TripletRetriever(top_k=5)
with patch(
"cognee.modules.retrieval.triplet_retriever.get_vector_engine",
return_value=mock_vector_engine,
):
context = await retriever.get_context("test query")
assert context == "Alice knows Bob\nBob works at Tech Corp"
mock_vector_engine.search.assert_awaited_once_with("Triplet_text", "test query", limit=5)
@pytest.mark.asyncio
async def test_get_context_no_collection(mock_vector_engine):
"""Test that NoDataError is raised when Triplet_text collection doesn't exist."""
mock_vector_engine.has_collection.return_value = False
retriever = TripletRetriever()
with patch(
"cognee.modules.retrieval.triplet_retriever.get_vector_engine",
return_value=mock_vector_engine,
):
with pytest.raises(NoDataError, match="create_triplet_embeddings"):
await retriever.get_context("test query")
@pytest.mark.asyncio
async def test_get_context_empty_results(mock_vector_engine):
"""Test that empty string is returned when no triplets are found."""
mock_vector_engine.search.return_value = []
retriever = TripletRetriever()
with patch(
"cognee.modules.retrieval.triplet_retriever.get_vector_engine",
return_value=mock_vector_engine,
):
context = await retriever.get_context("test query")
assert context == ""
@pytest.mark.asyncio
async def test_get_context_collection_not_found_error(mock_vector_engine):
"""Test that CollectionNotFoundError is converted to NoDataError."""
mock_vector_engine.has_collection.side_effect = CollectionNotFoundError("Collection not found")
retriever = TripletRetriever()
with patch(
"cognee.modules.retrieval.triplet_retriever.get_vector_engine",
return_value=mock_vector_engine,
):
with pytest.raises(NoDataError, match="No data found"):
await retriever.get_context("test query")
@pytest.mark.asyncio
async def test_get_completion_without_session(mock_vector_engine):
"""Test get_completion without session caching."""
mock_result = MagicMock()
mock_result.payload = {"text": "Alice knows Bob"}
mock_vector_engine.search.return_value = [mock_result]
retriever = TripletRetriever()
with (
patch(
"cognee.modules.retrieval.triplet_retriever.get_vector_engine",
return_value=mock_vector_engine,
),
patch(
"cognee.modules.retrieval.triplet_retriever.generate_completion",
return_value="Generated answer",
),
patch("cognee.modules.retrieval.triplet_retriever.CacheConfig") as mock_cache_config,
):
mock_config = MagicMock()
mock_config.caching = False
mock_cache_config.return_value = mock_config
completion = await retriever.get_completion("test query")
assert isinstance(completion, list)
assert len(completion) == 1
assert completion[0] == "Generated answer"
@pytest.mark.asyncio
async def test_get_completion_with_provided_context(mock_vector_engine):
"""Test get_completion with provided context."""
retriever = TripletRetriever()
with (
patch(
"cognee.modules.retrieval.triplet_retriever.generate_completion",
return_value="Generated answer",
),
patch("cognee.modules.retrieval.triplet_retriever.CacheConfig") as mock_cache_config,
):
mock_config = MagicMock()
mock_config.caching = False
mock_cache_config.return_value = mock_config
completion = await retriever.get_completion("test query", context="Provided context")
assert isinstance(completion, list)
assert len(completion) == 1
assert completion[0] == "Generated answer"