from unittest.mock import Mock, patch

import pytest
from google.generativeai import GenerationConfig
from google.generativeai.types import content_types

from mem0.configs.llms.base import BaseLlmConfig
from mem0.llms.gemini import GeminiLLM


@pytest.fixture
def mock_gemini_client():
    with patch("mem0.llms.gemini.GenerativeModel") as mock_gemini:
        mock_client = Mock()
        mock_gemini.return_value = mock_client
        yield mock_client


def test_generate_response_without_tools(mock_gemini_client: Mock):
    config = BaseLlmConfig(model="gemini-1.5-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0)
    llm = GeminiLLM(config)
    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello, how are you?"},
    ]

    mock_part = Mock(text="I'm doing well, thank you for asking!")
    mock_content = Mock(parts=[mock_part])
    mock_message = Mock(content=mock_content)
    mock_response = Mock(candidates=[mock_message])
    mock_gemini_client.generate_content.return_value = mock_response

    response = llm.generate_response(messages)

    mock_gemini_client.generate_content.assert_called_once_with(
        contents = [
            {"parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.", "role": "user"}, 
            {"parts": "Hello, how are you?", "role": "user"}
        ],
        generation_config = GenerationConfig(temperature=0.7, max_output_tokens=100, top_p=1.0),
        tools = None,
        tool_config = content_types.to_tool_config(
            {"function_calling_config":
                {"mode": 'auto', "allowed_function_names": None}
            })
    )
    assert response == "I'm doing well, thank you for asking!"
    
def test_generate_response_with_tools(mock_gemini_client: Mock):
    config = BaseLlmConfig(model="gemini-1.5-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0)
    llm = GeminiLLM(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_tool_call = Mock()
    mock_tool_call.name = "add_memory"
    mock_tool_call.args = {"data": "Today is a sunny day."}

    mock_part = Mock()
    mock_part.function_call = mock_tool_call
    mock_part.text="I've added the memory for you."

    mock_content = Mock()
    mock_content.parts=[mock_part]

    mock_message = Mock()
    mock_message.content=mock_content

    mock_response = Mock(candidates=[mock_message])
    mock_gemini_client.generate_content.return_value = mock_response

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

    mock_gemini_client.generate_content.assert_called_once_with(
        contents = [
            {"parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.", "role": "user"}, 
            {"parts": "Add a new memory: Today is a sunny day.", "role": "user"}
        ],
        generation_config = GenerationConfig(temperature=0.7, max_output_tokens=100, top_p=1.0),
        tools = [
            {
                "function_declarations": [{
                    "name": "add_memory", 
                    "description": "Add a memory",
                    "parameters": {
                        "type": "object", 
                        "properties": {"data": {"type": "string", "description": "Data to add to memory"}},
                        "required": ["data"]
                    }
                }]
            }
        ],
        tool_config = content_types.to_tool_config(
            {"function_calling_config":
                {"mode": 'auto', "allowed_function_names": None}
            })
    )

    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."}