#!/usr/bin/env python3
"""
Standalone MCP (Model Context Protocol) Server for VT.ai.

This module provides a standalone MCP server implementation using
the official MCP SDK FastMCP server.
"""

import json
import logging
import os
from typing import Any, Dict, List, Optional

from mcp.server.fastmcp import Context, FastMCP

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger("vt.ai.mcp")

# Import MCP config for tool definitions
from mcp_config import AVAILABLE_TOOLS, MCP_DEFAULT_MODEL, MCP_MODEL_MAP

# Create the MCP server
app = FastMCP()

# --- Tool implementations ---


@app.tool("get_weather")
async def get_weather(context: Context, location: str) -> str:
    """
    Get the current weather for a location.

    Args:
        context: The MCP context
        location: The location to get weather for

    Returns:
        Weather information as a string
    """
    logger.info(f"Getting weather for {location}")
    return f"The weather in {location} is currently sunny with a temperature of 22°C."


@app.tool("web_search")
async def web_search(context: Context, query: str, max_results: int = 5) -> str:
    """
    Search the web for information.

    Args:
        context: The MCP context
        query: The search query
        max_results: Maximum number of results to return

    Returns:
        Search results as a string
    """
    logger.info(f"Searching web for '{query}' (max results: {max_results})")
    return (
        f"Found {max_results} results for '{query}':\n\n"
        + "1. Example search result #1\n"
        + "2. Example search result #2\n"
        + "3. Example search result #3"
    )


@app.tool("generate_image")
async def generate_image(context: Context, prompt: str, style: str = "photo") -> str:
    """
    Generate an image based on a text prompt.

    Args:
        context: The MCP context
        prompt: Text description of the image to generate
        style: Style of the image

    Returns:
        Information about the generated image
    """
    logger.info(f"Generating {style} image for prompt: '{prompt}'")
    return (
        f"Generated a {style} image based on: '{prompt}'. "
        + "[Note: This is a mock implementation. In a real implementation, "
        + "this would return an image URL or base64-encoded image]"
    )


# --- Main entry point ---
if __name__ == "__main__":
    # Configure logging
    logging.basicConfig(level=logging.INFO)
    logger.info("Starting VT.ai MCP Server")
    logger.info(f"Available tools: {len(AVAILABLE_TOOLS)}")

    # Run the server
    app.run()
