File size: 3,501 Bytes
0ae3f27 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | from unittest.mock import Mock, patch
import pytest
from mem0 import Memory, MemoryClient
from mem0.proxy.main import Chat, Completions, Mem0
@pytest.fixture
def mock_memory_client():
mock_client = Mock(spec=MemoryClient)
mock_client.user_email = None
return mock_client
@pytest.fixture
def mock_openai_embedding_client():
with patch("mem0.embeddings.openai.OpenAI") as mock_openai:
mock_client = Mock()
mock_openai.return_value = mock_client
yield mock_client
@pytest.fixture
def mock_openai_llm_client():
with patch("mem0.llms.openai.OpenAI") as mock_openai:
mock_client = Mock()
mock_openai.return_value = mock_client
yield mock_client
@pytest.fixture
def mock_litellm():
with patch("mem0.proxy.main.litellm") as mock:
yield mock
def test_mem0_initialization_with_api_key(mock_openai_embedding_client, mock_openai_llm_client):
mem0 = Mem0()
assert isinstance(mem0.mem0_client, Memory)
assert isinstance(mem0.chat, Chat)
def test_mem0_initialization_with_config():
config = {"some_config": "value"}
with patch("mem0.Memory.from_config") as mock_from_config:
mem0 = Mem0(config=config)
mock_from_config.assert_called_once_with(config)
assert isinstance(mem0.chat, Chat)
def test_mem0_initialization_without_params(mock_openai_embedding_client, mock_openai_llm_client):
mem0 = Mem0()
assert isinstance(mem0.mem0_client, Memory)
assert isinstance(mem0.chat, Chat)
def test_chat_initialization(mock_memory_client):
chat = Chat(mock_memory_client)
assert isinstance(chat.completions, Completions)
def test_completions_create(mock_memory_client, mock_litellm):
completions = Completions(mock_memory_client)
messages = [{"role": "user", "content": "Hello, how are you?"}]
mock_memory_client.search.return_value = [{"memory": "Some relevant memory"}]
mock_litellm.completion.return_value = {"choices": [{"message": {"content": "I'm doing well, thank you!"}}]}
mock_litellm.supports_function_calling.return_value = True
response = completions.create(model="gpt-4.1-nano-2025-04-14", messages=messages, user_id="test_user", temperature=0.7)
mock_memory_client.add.assert_called_once()
mock_memory_client.search.assert_called_once()
mock_litellm.completion.assert_called_once()
call_args = mock_litellm.completion.call_args[1]
assert call_args["model"] == "gpt-4.1-nano-2025-04-14"
assert len(call_args["messages"]) == 2
assert call_args["temperature"] == 0.7
assert response == {"choices": [{"message": {"content": "I'm doing well, thank you!"}}]}
def test_completions_create_with_system_message(mock_memory_client, mock_litellm):
completions = Completions(mock_memory_client)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"},
]
mock_memory_client.search.return_value = [{"memory": "Some relevant memory"}]
mock_litellm.completion.return_value = {"choices": [{"message": {"content": "I'm doing well, thank you!"}}]}
mock_litellm.supports_function_calling.return_value = True
completions.create(model="gpt-4.1-nano-2025-04-14", messages=messages, user_id="test_user")
call_args = mock_litellm.completion.call_args[1]
assert call_args["messages"][0]["role"] == "system"
assert call_args["messages"][0]["content"] == "You are a helpful assistant."
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