from swarms import Agent
from swarms.tools.mcp_integration import MCPServerSseParams
from loguru import logger

# Comprehensive math prompt that encourages proper JSON formatting
MATH_AGENT_PROMPT = """
You are a helpful math calculator assistant.

Your role is to understand natural language math requests and perform calculations.
When asked to perform calculations:

1. Determine the operation (add, multiply, or divide)
2. Extract the numbers from the request
3. Use the appropriate math operation tool

FORMAT YOUR TOOL CALLS AS JSON with this format:
{"tool_name": "add", "a": <first_number>, "b": <second_number>}
or
{"tool_name": "multiply", "a": <first_number>, "b": <second_number>}
or
{"tool_name": "divide", "a": <first_number>, "b": <second_number>}

Always respond with a tool call in JSON format first, followed by a brief explanation.
"""

def initialize_math_system():
    """Initialize the math agent with MCP server configuration."""
    # Configure the MCP server connection
    math_server = MCPServerSseParams(
        url="http://0.0.0.0:8000",
        headers={"Content-Type": "application/json"},
        timeout=5.0,
        sse_read_timeout=30.0
    )

    # Create the agent with the MCP server configuration
    math_agent = Agent(
        agent_name="Math Assistant",
        agent_description="Friendly math calculator",
        system_prompt=MATH_AGENT_PROMPT,
        max_loops=1,
        mcp_servers=[math_server],  # Pass MCP server config as a list
        model_name="gpt-3.5-turbo",
        verbose=True  # Enable verbose mode to see more details
    )

    return math_agent

def main():
    try:
        logger.info("Initializing math system...")
        math_agent = initialize_math_system()

        print("\nMath Calculator Ready!")
        print("Ask me any math question!")
        print("Examples: 'what is 5 plus 3?' or 'can you multiply 4 and 6?'")
        print("Type 'exit' to quit\n")

        while True:
            try:
                query = input("What would you like to calculate? ").strip()
                if not query:
                    continue
                if query.lower() == 'exit':
                    break

                logger.info(f"Processing query: {query}")
                result = math_agent.run(query)
                print(f"\nResult: {result}\n")

            except KeyboardInterrupt:
                print("\nGoodbye!")
                break
            except Exception as e:
                logger.error(f"Error processing query: {e}")
                print(f"Sorry, there was an error: {str(e)}")

    except Exception as e:
        logger.error(f"System initialization error: {e}")
        print(f"Failed to start the math system: {str(e)}")

if __name__ == "__main__":
    main()