import datetime
import json
import os
import sys
import unittest
from typing import List, Optional, Tuple
from unittest.mock import ANY, MagicMock, Mock, patch

import httpx
import pytest

sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system-path
import litellm
from litellm.integrations.anthropic_cache_control_hook import AnthropicCacheControlHook
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
from litellm.types.llms.openai import AllMessageValues
from litellm.types.utils import StandardCallbackDynamicParams


@pytest.mark.asyncio
async def test_anthropic_cache_control_hook_system_message():
    anthropic_cache_control_hook = AnthropicCacheControlHook()
    litellm.callbacks = [anthropic_cache_control_hook]

    # Mock response data
    mock_response = MagicMock()
    mock_response.json.return_value = {
        "output": {
            "message": {
                "role": "assistant",
                "content": "Here is my analysis of the key terms and conditions...",
            }
        },
        "stopReason": "stop_sequence",
        "usage": {
            "inputTokens": 100,
            "outputTokens": 200,
            "totalTokens": 300,
            "cacheReadInputTokens": 100,
            "cacheWriteInputTokens": 200,
        },
    }
    mock_response.status_code = 200

    # Mock AsyncHTTPHandler.post method
    client = AsyncHTTPHandler()
    with patch.object(client, "post", return_value=mock_response) as mock_post:
        response = await litellm.acompletion(
            model="bedrock/anthropic.claude-3-5-haiku-20241022-v1:0",
            messages=[
                {
                    "role": "system",
                    "content": [
                        {
                            "type": "text",
                            "text": "You are an AI assistant tasked with analyzing legal documents.",
                        },
                        {
                            "type": "text",
                            "text": "Here is the full text of a complex legal agreement",
                        },
                    ],
                },
                {
                    "role": "user",
                    "content": "what are the key terms and conditions in this agreement?",
                },
            ],
            cache_control_injection_points=[
                {
                    "location": "message",
                    "role": "system",
                },
            ],
            client=client,
        )

        mock_post.assert_called_once()
        request_body = json.loads(mock_post.call_args.kwargs["data"])

        print("request_body: ", json.dumps(request_body, indent=4))

        # Verify the request body
        assert request_body["system"][1]["cachePoint"] == {"type": "default"}


@pytest.mark.asyncio
async def test_anthropic_cache_control_hook_user_message():
    anthropic_cache_control_hook = AnthropicCacheControlHook()
    litellm.callbacks = [anthropic_cache_control_hook]

    # Mock response data
    mock_response = MagicMock()
    mock_response.json.return_value = {
        "output": {
            "message": {
                "role": "assistant",
                "content": "Here is my analysis of the key terms and conditions...",
            }
        },
        "stopReason": "stop_sequence",
        "usage": {
            "inputTokens": 100,
            "outputTokens": 200,
            "totalTokens": 300,
            "cacheReadInputTokens": 100,
            "cacheWriteInputTokens": 200,
        },
    }
    mock_response.status_code = 200

    # Mock AsyncHTTPHandler.post method
    client = AsyncHTTPHandler()
    with patch.object(client, "post", return_value=mock_response) as mock_post:
        response = await litellm.acompletion(
            model="bedrock/anthropic.claude-3-5-haiku-20241022-v1:0",
            messages=[
                {
                    "role": "assistant",
                    "content": [
                        {
                            "type": "text",
                            "text": "You are an AI assistant tasked with analyzing legal documents.",
                        },
                    ],
                },
                {
                    "role": "user",
                    "content": "what are the key terms and conditions in this agreement? <very_long_text>",
                },
            ],
            cache_control_injection_points=[
                {
                    "location": "message",
                    "role": "user",
                },
            ],
            client=client,
        )

        mock_post.assert_called_once()
        request_body = json.loads(mock_post.call_args.kwargs["data"])

        print("request_body: ", json.dumps(request_body, indent=4))

        # Verify the request body
        assert request_body["messages"][1]["content"][1]["cachePoint"] == {
            "type": "default"
        }