136 lines
4.9 KiB
Python
136 lines
4.9 KiB
Python
import logging
|
|
from unittest.mock import MagicMock
|
|
|
|
import pytest
|
|
|
|
from mem0.memory.main import AsyncMemory, Memory
|
|
|
|
|
|
def _setup_mocks(mocker):
|
|
"""Helper to setup common mocks for both sync and async fixtures"""
|
|
mock_embedder = mocker.MagicMock()
|
|
mock_embedder.return_value.embed.return_value = [0.1, 0.2, 0.3]
|
|
mocker.patch('mem0.utils.factory.EmbedderFactory.create', mock_embedder)
|
|
|
|
mock_vector_store = mocker.MagicMock()
|
|
mock_vector_store.return_value.search.return_value = []
|
|
mocker.patch('mem0.utils.factory.VectorStoreFactory.create',
|
|
side_effect=[mock_vector_store.return_value, mocker.MagicMock()])
|
|
|
|
mock_llm = mocker.MagicMock()
|
|
mocker.patch('mem0.utils.factory.LlmFactory.create', mock_llm)
|
|
|
|
mocker.patch('mem0.memory.storage.SQLiteManager', mocker.MagicMock())
|
|
|
|
return mock_llm, mock_vector_store
|
|
|
|
|
|
class TestAddToVectorStoreErrors:
|
|
@pytest.fixture
|
|
def mock_memory(self, mocker):
|
|
"""Fixture that returns a Memory instance with mocker-based mocks"""
|
|
mock_llm, _ = _setup_mocks(mocker)
|
|
|
|
memory = Memory()
|
|
memory.config = mocker.MagicMock()
|
|
memory.config.custom_fact_extraction_prompt = None
|
|
memory.config.custom_update_memory_prompt = None
|
|
memory.api_version = "v1.1"
|
|
|
|
return memory
|
|
|
|
def test_empty_llm_response_fact_extraction(self, mock_memory, caplog):
|
|
"""Test empty response from LLM during fact extraction"""
|
|
# Setup
|
|
mock_memory.llm.generate_response.return_value = ""
|
|
|
|
# Execute
|
|
with caplog.at_level(logging.ERROR):
|
|
result = mock_memory._add_to_vector_store(
|
|
messages=[{"role": "user", "content": "test"}],
|
|
metadata={},
|
|
filters={},
|
|
infer=True
|
|
)
|
|
|
|
# Verify
|
|
assert mock_memory.llm.generate_response.call_count == 2
|
|
assert result == [] # Should return empty list when no memories processed
|
|
assert "Error in new_retrieved_facts" in caplog.text
|
|
|
|
def test_empty_llm_response_memory_actions(self, mock_memory, caplog):
|
|
"""Test empty response from LLM during memory actions"""
|
|
# Setup
|
|
# First call returns valid JSON, second call returns empty string
|
|
mock_memory.llm.generate_response.side_effect = [
|
|
'{"facts": ["test fact"]}',
|
|
""
|
|
]
|
|
|
|
# Execute
|
|
with caplog.at_level(logging.ERROR):
|
|
result = mock_memory._add_to_vector_store(
|
|
messages=[{"role": "user", "content": "test"}],
|
|
metadata={},
|
|
filters={},
|
|
infer=True
|
|
)
|
|
|
|
# Verify
|
|
assert mock_memory.llm.generate_response.call_count == 2
|
|
assert result == [] # Should return empty list when no memories processed
|
|
assert "Invalid JSON response" in caplog.text
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
class TestAsyncAddToVectorStoreErrors:
|
|
@pytest.fixture
|
|
def mock_async_memory(self, mocker):
|
|
"""Fixture for AsyncMemory with mocker-based mocks"""
|
|
mock_llm, _ = _setup_mocks(mocker)
|
|
|
|
memory = AsyncMemory()
|
|
memory.config = mocker.MagicMock()
|
|
memory.config.custom_fact_extraction_prompt = None
|
|
memory.config.custom_update_memory_prompt = None
|
|
memory.api_version = "v1.1"
|
|
|
|
return memory
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_empty_llm_response_fact_extraction(self, mock_async_memory, caplog, mocker):
|
|
"""Test empty response in AsyncMemory._add_to_vector_store"""
|
|
mocker.patch('mem0.utils.factory.EmbedderFactory.create', return_value=MagicMock())
|
|
mock_async_memory.llm.generate_response.return_value = ""
|
|
|
|
with caplog.at_level(logging.ERROR):
|
|
result = await mock_async_memory._add_to_vector_store(
|
|
messages=[{"role": "user", "content": "test"}],
|
|
metadata={},
|
|
filters={},
|
|
infer=True
|
|
)
|
|
|
|
assert result == []
|
|
assert "Error in new_retrieved_facts" in caplog.text
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_empty_llm_response_memory_actions(self, mock_async_memory, caplog, mocker):
|
|
"""Test empty response in AsyncMemory._add_to_vector_store"""
|
|
mocker.patch('mem0.utils.factory.EmbedderFactory.create', return_value=MagicMock())
|
|
mock_async_memory.llm.generate_response.side_effect = [
|
|
'{"facts": ["test fact"]}',
|
|
""
|
|
]
|
|
|
|
with caplog.at_level(logging.ERROR):
|
|
result = await mock_async_memory._add_to_vector_store(
|
|
messages=[{"role": "user", "content": "test"}],
|
|
metadata={},
|
|
filters={},
|
|
infer=True
|
|
)
|
|
|
|
assert result == []
|
|
assert "Invalid JSON response" in caplog.text
|