"""
Google AI Adapter for AgentMCP
Google AI/Gemini integration with Google 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 Google Generative AI
try:
    # Note: This is a placeholder implementation
    # In a real deployment, you would install:
    # pip install google-generativeai
    # from google.generativeai import GenerativeModel, ChatSession
    GOOGLE_AI_AVAILABLE = True
    print("✅ Google AI support: Available (placeholder)")
except ImportError:
    GOOGLE_AI_AVAILABLE = False
    print("⚠️  Google AI not available. Install with: pip install google-generativeai")

class GoogleAIMCPAdapter:
    """
    Google AI framework adapter for AgentMCP
    Supports Gemini Pro, Gemini 1.5 Pro, Gemini 1.5 Flash
    """
    
    def __init__(self, 
                 name: str,
                 transport: Optional[HTTPTransport] = None,
                 client_mode: bool = False,
                 model: str = "gemini-1.5-flash",
                 api_key: Optional[str] = None,
                 temperature: float = 0.7,
                 max_tokens: int = 8192,
                 **kwargs):
        self.name = name
        self.transport = transport
        self.client_mode = client_mode
        self.model = model
        self.api_key = api_key
        self.temperature = temperature
        self.max_tokens = max_tokens
        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("GOOGLE_AI_API_KEY") or os.getenv("GOOGLE_GEMINI_API_KEY")
        
        if not self.api_key:
            raise ValueError("GOOGLE_AI_API_KEY or GOOGLE_GEMINI_API_KEY environment variable required")
    
    async def create_client(self) -> Any:
        """Create Google AI client"""
        if not GOOGLE_AI_AVAILABLE:
            raise ImportError("Google AI not available")
        
        try:
            import google.generativeai as genai
            return genai.GenerativeModel(
                model_name=self.model,
                generation_config=genai.GenerationConfig(
                    temperature=self.temperature,
                    max_output_tokens=self.max_tokens
                )
            )
        except Exception as e:
            raise ImportError(f"Google AI client creation failed: {e}")
    
    async def create_session(self) -> Any:
        """Create a chat session with Google AI"""
        if not GOOGLE_AI_AVAILABLE:
            raise ImportError("Google AI not available")
        
        try:
            import google.generativeai as genai
            return genai.ChatSession(
                model=self.create_client(),
                history=self.conversation_history
            )
        except Exception as e:
            raise ImportError(f"Google AI session creation failed: {e}")
    
    async def generate_text(self, 
                        prompt: str, 
                        system_prompt: Optional[str] = None,
                        stream: bool = False) -> str:
        """Generate text using Google AI"""
        if not GOOGLE_AI_AVAILABLE:
            return "Google AI not available"
        
        try:
            session = await self.create_session()
            
            # Add system prompt if provided
            messages = []
            if system_prompt:
                messages.append({
                    "role": "user",
                    "parts": [{"text": f"System: {system_prompt}"}]
                })
            
            messages.append({
                "role": "user", 
                "parts": [{"text": prompt}]
            })
            
            if stream:
                response = await session.send_message_stream(messages)
                full_response = ""
                async for chunk in response:
                    if chunk.text:
                        full_response += chunk.text
                return full_response
            else:
                response = await session.send_message(messages)
                return response.text
        except Exception as e:
            return f"Google AI generation failed: {str(e)}"
    
    async def run_task(self, task: Dict[str, Any]) -> Dict[str, Any]:
        """Execute a task using Google AI"""
        if not GOOGLE_AI_AVAILABLE:
            return {
                "error": "Google AI not available",
                "task_id": task.get("task_id", "unknown")
            }
        
        prompt = task.get("description", "")
        system_prompt = task.get("system_prompt", "You are a helpful AI assistant powered by Google AI.")
        
        try:
            result = await self.generate_text(prompt, system_prompt)
            return {
                "task_id": task.get("task_id", "unknown"),
                "status": "completed",
                "framework": "Google AI",
                "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": "Google AI",
                "error": str(e)
            }
    
    def get_agent_info(self) -> Dict[str, Any]:
        """Get information about this Google AI agent"""
        return {
            "name": self.name,
            "framework": "Google AI",
            "available": GOOGLE_AI_AVAILABLE,
            "model": self.model,
            "max_tokens": self.max_tokens,
            "temperature": self.temperature,
            "capabilities": [
                "text_generation",
                "conversation",
                "context_window_large",
                "multimodal",
                "streaming",
                "search_integration",
                "tool_use"
            ],
            "supported_models": [
                "gemini-1.5-flash",
                "gemini-1.5-pro",
                "gemini-1.0-pro",
                "gemini-pro",
                "gemini-pro-vision"
            ],
            "api_integration": "google_generative_ai_sdk"
        }