from unittest.mock import Mock, patch

import httpx
import pytest

from mem0.configs.llms.base import BaseLlmConfig
from mem0.llms.azure_openai import AzureOpenAILLM

MODEL = "gpt-4o" # or your custom deployment name 
TEMPERATURE = 0.7
MAX_TOKENS = 100
TOP_P = 1.0

@pytest.fixture
def mock_openai_client():
    with patch('mem0.llms.azure_openai.AzureOpenAI') as mock_openai:
        mock_client = Mock()
        mock_openai.return_value = mock_client
        yield mock_client

def test_generate_response_without_tools(mock_openai_client):
    config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
    llm = AzureOpenAILLM(config)
    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello, how are you?"}
    ]
    
    mock_response = Mock()
    mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
    mock_openai_client.chat.completions.create.return_value = mock_response

    response = llm.generate_response(messages)

    mock_openai_client.chat.completions.create.assert_called_once_with(
        model=MODEL,
        messages=messages,
        temperature=TEMPERATURE,
        max_tokens=MAX_TOKENS,
        top_p=TOP_P
    )
    assert response == "I'm doing well, thank you for asking!"


def test_generate_response_with_tools(mock_openai_client):
    config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
    llm = AzureOpenAILLM(config)
    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Add a new memory: Today is a sunny day."}
    ]
    tools = [
        {
            "type": "function",
            "function": {
                "name": "add_memory",
                "description": "Add a memory",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "data": {"type": "string", "description": "Data to add to memory"}
                    },
                    "required": ["data"],
                },
            },
        }
    ]
    
    mock_response = Mock()
    mock_message = Mock()
    mock_message.content = "I've added the memory for you."
    
    mock_tool_call = Mock()
    mock_tool_call.function.name = "add_memory"
    mock_tool_call.function.arguments = '{"data": "Today is a sunny day."}'
    
    mock_message.tool_calls = [mock_tool_call]
    mock_response.choices = [Mock(message=mock_message)]
    mock_openai_client.chat.completions.create.return_value = mock_response

    response = llm.generate_response(messages, tools=tools)

    mock_openai_client.chat.completions.create.assert_called_once_with(
        model=MODEL,
        messages=messages,
        temperature=TEMPERATURE,
        max_tokens=MAX_TOKENS,
        top_p=TOP_P,
        tools=tools,
        tool_choice="auto"
    )
    
    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.'}

def test_generate_with_http_proxies():
    mock_http_client = Mock(spec=httpx.Client)
    mock_http_client_instance = Mock(spec=httpx.Client)
    mock_http_client.return_value = mock_http_client_instance

    with (patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
          patch("httpx.Client", new=mock_http_client) as mock_http_client):
        config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P,
                               api_key="test", http_client_proxies="http://testproxy.mem0.net:8000",
                               azure_kwargs= {"api_key" : "test"})

        _ = AzureOpenAILLM(config)

        mock_azure_openai.assert_called_once_with(
            api_key="test",
            http_client=mock_http_client_instance,
            azure_deployment=None,
            azure_endpoint=None,
            api_version=None
        )
        mock_http_client.assert_called_once_with(proxies="http://testproxy.mem0.net:8000")