import requests
import os
from typing import List, Dict, Optional

def download_model_from_civitai(model_id: int, api_key: str, download_path: str) -> bool:
    """
    Download a model from CivitAI (placeholder function)
    In a real implementation, this would handle the actual download
    """
    try:
        headers = {"Authorization": f"Bearer {api_key}"}
        
        # Get model details
        model_response = requests.get(
            f"https://civitai.com/api/v1/models/{model_id}",
            headers=headers
        )
        
        if model_response.status_code != 200:
            return False
            
        model_data = model_response.json()
        
        # Get download URL (this is simplified - in reality you'd need to get the actual file URL)
        # This would typically be from model_data['modelVersions'][0]['files'][0]['downloadUrl']
        
        # Download the model file
        # response = requests.get(download_url, headers=headers)
        # with open(download_path, 'wb') as f:
        #     f.write(response.content)
            
        return True
        
    except Exception as e:
        print(f"Error downloading model: {e}")
        return False

def apply_lora_to_model(pipe, lora_id: int, api_key: str) -> bool:
    """
    Apply a LoRA to a model (placeholder function)
    In a real implementation, this would handle LoRA integration
    """
    try:
        # Download and apply LoRA
        # This is highly dependent on the specific model and LoRA format
        return True
    except Exception as e:
        print(f"Error applying LoRA: {e}")
        return False

def validate_api_key(api_key: str) -> bool:
    """Validate the CivitAI API key"""
    try:
        headers = {"Authorization": f"Bearer {api_key}"}
        response = requests.get(
            "https://civitai.com/api/v1/models?limit=1",
            headers=headers
        )
        return response.status_code == 200
    except Exception:
        return False