import pytest
from unittest.mock import Mock, patch
from mem0.llms.ollama import OllamaLLM
from mem0.configs.llms.base import BaseLlmConfig
from mem0.llms.utils.tools import ADD_MEMORY_TOOL

@pytest.fixture
def mock_ollama_client():
    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?"}
    ]
    
    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
        }
    )
    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."}
    ]
    tools = [ADD_MEMORY_TOOL]
    
    mock_response = {
        'message': {
            "content": "I've added the memory for you.",
            "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)

    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
    )
    
    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.'}