"""
Service for model management and interaction.
"""

from typing import List, Dict, Any, Optional
from app.config.config import Config

class ModelService:
    """Service for model management and interaction."""
    
    # Available models
    AVAILABLE_MODELS = {
        'gpt-3.5-turbo': {
            'name': 'GPT-3.5 Turbo',
            'description': 'OpenAI GPT-3.5 Turbo model',
            'provider': 'openai',
            'max_tokens': 4096
        },
        'gpt-4': {
            'name': 'GPT-4',
            'description': 'OpenAI GPT-4 model',
            'provider': 'openai',
            'max_tokens': 8192
        },
        # Add more models as needed
    }
    
    def __init__(self, config: Config = None):
        """
        Initialize the model service.
        
        Args:
            config: Configuration object.
        """
        self.config = config or Config()
        self.default_model = self.config.DEFAULT_MODEL
    
    def get_available_models(self) -> List[Dict[str, Any]]:
        """
        Get a list of available models.
        
        Returns:
            List of model information dictionaries.
        """
        models = []
        for model_id, model_info in self.AVAILABLE_MODELS.items():
            model_data = {
                'id': model_id,
                'is_default': model_id == self.default_model,
                **model_info
            }
            models.append(model_data)
        
        return models
    
    def get_model_info(self, model_id: str) -> Optional[Dict[str, Any]]:
        """
        Get information about a specific model.
        
        Args:
            model_id: ID of the model.
            
        Returns:
            Model information dictionary if found, None otherwise.
        """
        if model_id not in self.AVAILABLE_MODELS:
            return None
        
        return {
            'id': model_id,
            'is_default': model_id == self.default_model,
            **self.AVAILABLE_MODELS[model_id]
        }
    
    def generate_response(self, model_id: str, prompt: str, 
                         context: Optional[List[Dict[str, str]]] = None) -> str:
        """
        Generate a response from the model.
        
        Args:
            model_id: ID of the model to use.
            prompt: User prompt.
            context: Optional conversation context.
            
        Returns:
            Generated response.
        """
        # TODO: Implement actual model integration
        # This is a placeholder that will be implemented in the next steps
        
        if model_id not in self.AVAILABLE_MODELS:
            model_id = self.default_model
        
        # Placeholder response
        return f"This is a placeholder response from {self.AVAILABLE_MODELS[model_id]['name']}. The actual model integration will be implemented in the next steps."