from services.gemini_client import get_gemini_client
import logging

logger = logging.getLogger(__name__)


async def get_chatbot_response(user_text: str) -> str:
    """
    Generate chatbot response using Gemini API.
    
    Args:
        user_text: User input text
    
    Returns:
        Chatbot response text
    
    Raises:
        Exception: If response generation fails
    """
    try:
        client = get_gemini_client()
        
        logger.info(f"Generating chatbot response for: '{user_text}'")
        
        # Create a system prompt for better responses
        system_prompt = """You are a helpful, friendly AI assistant. 
        Respond concisely and naturally to user queries.
        Keep responses brief (1-2 sentences) for voice interaction."""
        
        # Combine system prompt with user input
        full_prompt = f"{system_prompt}\n\nUser: {user_text}"
        
        response = client.models.generate_content(
            model="gemini-2.0-flash-exp",  # Using a model that definitely exists
            contents=[full_prompt]
        )
        
        response_text = response.text
        logger.info(f"✓ Response generated: '{response_text}'")
        
        return response_text
        
    except Exception as e:
        logger.error(f"✗ Chatbot response failed: {str(e)}")
        # Fallback response
        return f"I understood you said: '{user_text}'. Could you tell me more?"