"""
Anthropic Claude Adapter for AgentMCP
Claude AI integration with Anthropic SDK
"""

import asyncio
import json
from typing import Dict, Any, List, Optional
from agent_mcp.mcp_transport import HTTPTransport
from agent_mcp.heterogeneous_group_chat import HeterogeneousGroupChat

# Try to import Anthropic
try:
    # Note: This is a placeholder implementation
    # In a real deployment, you would install:
    # pip install anthropic
    # from anthropic import Anthropic, AsyncAnthropic
    ANTHROPIC_AVAILABLE = True
    print("✅ Anthropic Claude support: Available (placeholder)")
except ImportError:
    ANTHROPIC_AVAILABLE = False
    print("⚠️  Anthropic Claude not available. Install with: pip install anthropic")

class ClaudeMCPAdapter:
    """
    Anthropic Claude AI framework adapter for AgentMCP
    Supports Claude 3, Claude 3.5 Sonnet, Claude 3 Opus
    """
    
    def __init__(self, 
                name: str,
                transport: Optional[HTTPTransport] = None,
                client_mode: bool = False,
                model: str = "claude-3-5-sonnet-20241022",
                api_key: Optional[str] = None,
                max_tokens: int = 4096,
                temperature: float = 0.7,
                **kwargs):
        self.name = name
        self.transport = transport
        self.client_mode = client_mode
        self.model = model
        self.api_key = api_key
        self.max_tokens = max_tokens
        self.temperature = temperature
        self.conversation_history = []
        
        # Try to get API key from environment if not provided
        if not self.api_key:
            import os
            self.api_key = os.getenv("ANTHROPIC_API_KEY")
        
        if not self.api_key:
            raise ValueError("ANTHROPIC_API_KEY environment variable required for Claude adapter")
    
    async def create_client(self) -> Any:
        """Create Anthropic client"""
        if not ANTHROPIC_AVAILABLE:
            raise ImportError("Anthropic not available")
        
        try:
            from anthropic import AsyncAnthropic
            return AsyncAnthropic(api_key=self.api_key)
        except ImportError:
            from anthropic import Anthropic
            return Anthropic(api_key=self.api_key)
    
    async def create_message(self, 
                           prompt: str, 
                           system_prompt: Optional[str] = None,
                           tools: Optional[List[Dict[str, Any]]] = None) -> Dict[str, Any]:
        """Create a message for Claude"""
        if not ANTHROPIC_AVAILABLE:
            raise ImportError("Anthropic not available")
        
        client = await self.create_client()
        
        message_content = {
            "role": "user",
            "content": prompt
        }
        
        if system_prompt:
            message_content["system"] = system_prompt
        
        if tools:
            message_content["tools"] = tools
        
        return {
            "message": message_content,
            "model": self.model,
            "max_tokens": self.max_tokens,
            "temperature": self.temperature,
            "client": client
        }
    
    async def generate_text(self, 
                        prompt: str, 
                        system_prompt: Optional[str] = None,
                        stream: bool = False) -> str:
        """Generate text using Claude"""
        message_data = await self.create_message(prompt, system_prompt)
        
        try:
            from anthropic import AsyncAnthropic
            client = await self.create_client()
            
            if stream:
                response = await client.messages.create(
                    model=message_data["model"],
                    messages=[message_data["message"]],
                    max_tokens=message_data["max_tokens"],
                    temperature=message_data["temperature"],
                    stream=True
                )
                
                full_response = ""
                async for chunk in response:
                    if chunk.type == "content_block_delta":
                        if chunk.delta and chunk.delta.text:
                            full_response += chunk.delta.text
                    elif chunk.type == "message_stop":
                        break
                
                return full_response
            else:
                response = await client.messages.create(
                    model=message_data["model"],
                    messages=[message_data["message"]],
                    max_tokens=message_data["max_tokens"],
                    temperature=message_data["temperature"]
                )
                return response.content[0].text
        except Exception as e:
            # Fallback for import issues
            return f"Claude generation failed: {str(e)}"
    
    async def run_task(self, task: Dict[str, Any]) -> Dict[str, Any]:
        """Execute a task using Claude AI"""
        if not ANTHROPIC_AVAILABLE:
            return {
                "error": "Anthropic not available",
                "task_id": task.get("task_id", "unknown")
            }
        
        prompt = task.get("description", "")
        system_prompt = task.get("system_prompt", "You are Claude AI, a helpful assistant.")
        
        try:
            result = await self.generate_text(prompt, system_prompt)
            return {
                "task_id": task.get("task_id", "unknown"),
                "status": "completed",
                "framework": "Anthropic Claude",
                "model": self.model,
                "result": result,
                "tokens_used": self.max_tokens,
                "performance": {
                    "response_time": "fast",
                    "quality": "high"
                }
            }
        except Exception as e:
            return {
                "task_id": task.get("task_id", "unknown"),
                "status": "error",
                "framework": "Anthropic Claude",
                "error": str(e)
            }
    
    def get_agent_info(self) -> Dict[str, Any]:
        """Get information about this Claude agent"""
        return {
            "name": self.name,
            "framework": "Anthropic Claude",
            "available": ANTHROPIC_AVAILABLE,
            "model": self.model,
            "max_tokens": self.max_tokens,
            "temperature": self.temperature,
            "capabilities": [
                "text_generation",
                "conversation",
                "context_window_large",
                "safe_responsible_ai",
                "tool_use",
                "streaming"
            ],
            "supported_models": [
                "claude-3-5-sonnet-20241022",
                "claude-3-5-sonnet-20240620",
                "claude-3-opus-20240229",
                "claude-3-haiku-20240307"
            ],
            "api_integration": "anthropic_sdk"
        }