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[Misc] Lint code and fix code smells (#1871)

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This commit is contained in:
Deshraj Yadav
2024-09-16 17:39:54 -07:00
committed by GitHub
parent 0a78cb9f7a
commit 55c54beeab
57 changed files with 1178 additions and 1357 deletions
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50
tests/llms/test_ollama.py
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@@ -9,61 +9,48 @@ from mem0.llms.utils.tools import ADD_MEMORY_TOOL
@pytest.fixture
def mock_ollama_client():
with patch('mem0.llms.ollama.Client') as mock_ollama:
with patch("mem0.llms.ollama.Client") as mock_ollama:
mock_client = Mock()
mock_client.list.return_value = {"models": [{"name": "llama3.1:70b"}]}
mock_ollama.return_value = mock_client
yield mock_client
def test_generate_response_without_tools(mock_ollama_client):
config = BaseLlmConfig(model="llama3.1:70b", temperature=0.7, max_tokens=100, top_p=1.0)
llm = OllamaLLM(config)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"}
{"role": "user", "content": "Hello, how are you?"},
]
mock_response = {
'message': {"content": "I'm doing well, thank you for asking!"}
}
mock_response = {"message": {"content": "I'm doing well, thank you for asking!"}}
mock_ollama_client.chat.return_value = mock_response
response = llm.generate_response(messages)
mock_ollama_client.chat.assert_called_once_with(
model="llama3.1:70b",
messages=messages,
options={
"temperature": 0.7,
"num_predict": 100,
"top_p": 1.0
}
model="llama3.1:70b", messages=messages, options={"temperature": 0.7, "num_predict": 100, "top_p": 1.0}
)
assert response == "I'm doing well, thank you for asking!"
def test_generate_response_with_tools(mock_ollama_client):
config = BaseLlmConfig(model="llama3.1:70b", temperature=0.7, max_tokens=100, top_p=1.0)
llm = OllamaLLM(config)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Add a new memory: Today is a sunny day."}
{"role": "user", "content": "Add a new memory: Today is a sunny day."},
]
tools = [ADD_MEMORY_TOOL]
mock_response = {
'message': {
"message": {
"content": "I've added the memory for you.",
"tool_calls": [
{
"function": {
"name": "add_memory",
"arguments": {"data": "Today is a sunny day."}
}
}
]
"tool_calls": [{"function": {"name": "add_memory", "arguments": {"data": "Today is a sunny day."}}}],
}
}
mock_ollama_client.chat.return_value = mock_response
response = llm.generate_response(messages, tools=tools)
@@ -71,16 +58,11 @@ def test_generate_response_with_tools(mock_ollama_client):
mock_ollama_client.chat.assert_called_once_with(
model="llama3.1:70b",
messages=messages,
options={
"temperature": 0.7,
"num_predict": 100,
"top_p": 1.0
},
tools=tools
options={"temperature": 0.7, "num_predict": 100, "top_p": 1.0},
tools=tools,
)
assert response["content"] == "I've added the memory for you."
assert len(response["tool_calls"]) == 1
assert response["tool_calls"][0]["name"] == "add_memory"
assert response["tool_calls"][0]["arguments"] == {'data': 'Today is a sunny day.'}
assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}