"""Claude agent implementation via MCP protocol.

AI_CONTEXT:
    This module wraps the existing Meta-MCP server functionality
    as a Claude agent. It preserves all existing MCP capabilities
    while adapting them to the BaseAgent interface.
    
    This is the first concrete agent implementation and serves
    as the bridge between the legacy single-agent system and
    the new multi-agent architecture.
"""

import asyncio
import logging
from datetime import datetime
from typing import Dict, Any, Optional

from .base import BaseAgent, AgentStatus, ExecutionResult
from ..metamcp.server import MetaMCPServer

logger = logging.getLogger(__name__)


class ClaudeAgent(BaseAgent):
    """Claude agent using MCP protocol through Meta-MCP.
    
    AI_CONTEXT:
        This agent wraps the existing Meta-MCP server to provide
        Claude with access to all registered tools. It:
        - Uses the existing MCP protocol implementation
        - Leverages Meta-MCP's tool aggregation
        - Provides Claude's reasoning capabilities
        - Maintains backward compatibility
        
        In the new architecture:
        - Claude is just one of many agents
        - Meta-MCP provides tools to ALL agents
        - Claude excels at reasoning and design tasks
    """
    
    def __init__(self, config):
        """Initialize Claude agent."""
        super().__init__(config)
        self.server: Optional[MetaMCPServer] = None
        self._connection_info: Dict[str, Any] = {}
        
    async def initialize(self) -> None:
        """Initialize the Claude MCP connection.
        
        AI_CONTEXT:
            This reuses the existing Meta-MCP server but in a new way:
            - Instead of being THE server, it's Claude's connection
            - Other agents will have their own connection methods
            - Meta-MCP remains the universal tool provider
        """
        try:
            self.status = AgentStatus.INITIALIZING
            logger.info(f"Initializing Claude agent: {self.name}")
            
            # Check if Claude Desktop is available
            # In the future, this might check for Claude CLI or API
            if not await self._check_claude_available():
                raise RuntimeError("Claude Desktop not found")
            
            # Get Meta-MCP server connection info
            # For now, we assume Meta-MCP is running
            self._connection_info = {
                "type": "stdio",  # Claude uses stdio transport
                "meta_mcp_port": self.config.metadata.get("meta_mcp_port", 8585)
            }
            
            self.status = AgentStatus.READY
            logger.info(f"Claude agent initialized successfully")
            
        except Exception as e:
            self.status = AgentStatus.ERROR
            logger.error(f"Failed to initialize Claude agent: {e}")
            raise
    
    async def _check_claude_available(self) -> bool:
        """Check if Claude is available on the system."""
        # For now, just return True
        # In the future, this could check for:
        # - Claude Desktop installation
        # - Claude CLI availability
        # - Claude API credentials
        return True
    
    async def health_check(self) -> bool:
        """Check if Claude connection is healthy."""
        try:
            # In a real implementation, this would:
            # - Check if Claude Desktop is running
            # - Verify MCP connection is active
            # - Maybe send a ping request
            
            # For now, just check our status
            return self.status == AgentStatus.READY
            
        except Exception as e:
            logger.error(f"Health check failed: {e}")
            return False
    
    async def execute(
        self,
        prompt: str,
        context: Optional[Dict[str, Any]] = None,
        **kwargs
    ) -> ExecutionResult:
        """Execute a task with Claude.
        
        AI_CONTEXT:
            In the current implementation, this is a placeholder.
            In a full implementation, this would:
            1. Send the prompt to Claude via MCP
            2. Claude would use Meta-MCP tools as needed
            3. Return Claude's response
            
            The key insight: Claude doesn't execute tools directly.
            Instead, Claude sends tool requests to Meta-MCP, which
            routes them to the appropriate service.
        
        Args:
            prompt: Task for Claude to complete
            context: Context from previous workflow steps
            **kwargs: Additional Claude-specific parameters
            
        Returns:
            ExecutionResult with Claude's response
        """
        start_time = datetime.now()
        
        try:
            # In a real implementation, this would send the prompt
            # to Claude Desktop via MCP protocol
            
            # For now, return a mock response
            response = f"Claude would process: {prompt}"
            
            # Calculate execution time
            duration = (datetime.now() - start_time).total_seconds()
            
            # Record metrics
            cost = kwargs.get("mock_cost", 0.03)  # Mock cost
            tokens = kwargs.get("mock_tokens", 150)  # Mock tokens
            self.record_execution(duration, cost, tokens)
            
            return ExecutionResult(
                success=True,
                content=response,
                agent=self.name,
                duration=duration,
                cost=cost,
                tokens_used=tokens,
                metadata={
                    "model": "claude-3-opus",
                    "context_used": bool(context)
                }
            )
            
        except Exception as e:
            duration = (datetime.now() - start_time).total_seconds()
            logger.error(f"Claude execution failed: {e}")
            
            return ExecutionResult(
                success=False,
                content=None,
                agent=self.name,
                duration=duration,
                error=str(e),
                metadata={"error_type": type(e).__name__}
            )
    
    async def shutdown(self) -> None:
        """Shutdown Claude agent."""
        try:
            logger.info(f"Shutting down Claude agent: {self.name}")
            
            # In a real implementation, this would:
            # - Close MCP connections
            # - Clean up resources
            # - Save any state
            
            self.status = AgentStatus.SHUTDOWN
            logger.info(f"Claude agent shutdown complete")
            
        except Exception as e:
            logger.error(f"Error during shutdown: {e}")
            raise
    
    # ========================================================================
    # Claude-specific methods
    # ========================================================================
    
    def get_model_info(self) -> Dict[str, Any]:
        """Get information about the Claude model being used."""
        return {
            "model": "claude-3-opus",
            "context_window": 200000,
            "supports_vision": True,
            "supports_tools": True,
            "strengths": [
                "Complex reasoning",
                "Code architecture design", 
                "Documentation",
                "Code review",
                "Debugging complex issues"
            ],
            "weaknesses": [
                "Multi-file editing",
                "Real-time responsiveness",
                "Direct file system access"
            ]
        }
    
    async def set_system_prompt(self, system_prompt: str) -> None:
        """Set a system prompt for Claude.
        
        This would be used to give Claude specific instructions
        for a workflow or session.
        """
        self.update_context("system_prompt", system_prompt)
        logger.info(f"Updated system prompt for Claude agent")
    
    async def clear_conversation(self) -> None:
        """Clear Claude's conversation history."""
        self.clear_context()
        logger.info(f"Cleared conversation history for Claude agent")