"""Marketplace integration service for ListingCraft"""

import logging
from typing import Dict, Any, List
from ...utils.config import ListingCraftConfig
from ...core.models import MarketplaceType


class MarketplaceService:
    """Service for marketplace-specific operations"""
    
    def __init__(self, config: ListingCraftConfig):
        self.config = config
    
    def get_marketplace_data(
        self,
        listing_content: Dict[str, Any],
        marketplace: MarketplaceType
    ) -> Dict[str, Any]:
        """Get marketplace-specific data and optimizations
        
        Args:
            listing_content: Generated listing content
            marketplace: Target marketplace
            
        Returns:
            Marketplace-specific data and suggestions
        """
        
        if marketplace == MarketplaceType.EBAY:
            return self._get_ebay_data(listing_content)
        elif marketplace == MarketplaceType.POSHMARK:
            return self._get_poshmark_data(listing_content)
        elif marketplace == MarketplaceType.MERCARI:
            return self._get_mercari_data(listing_content)
        else:
            return self._get_generic_data(listing_content)
    
    def find_similar_products(
        self,
        image_url: str,
        max_results: int = 10
    ) -> List[Dict[str, Any]]:
        """Find similar products for pricing research"""
        
        if not self.config.enable_similar_products:
            return []
        
        try:
            # This would integrate with your existing research functionality
            # For now, return mock data
            return [
                {
                    "title": "Similar Product 1",
                    "price": "$25.99",
                    "source": "eBay",
                    "similarity_score": 0.85
                },
                {
                    "title": "Similar Product 2", 
                    "price": "$22.50",
                    "source": "Poshmark",
                    "similarity_score": 0.78
                }
            ]
            
        except Exception as e:
            logging.error(f"Error finding similar products: {e}")
            return []
    
    def _get_ebay_data(self, listing_content: Dict[str, Any]) -> Dict[str, Any]:
        """Get eBay-specific data"""
        return {
            "category": "Fashion",
            "price_suggestion": 29.99,
            "shipping_options": ["Standard", "Expedited"],
            "return_policy": "30 days",
            "item_specifics": {
                "Brand": listing_content.get('brand', 'Unbranded'),
                "Condition": "Pre-owned"
            }
        }
    
    def _get_poshmark_data(self, listing_content: Dict[str, Any]) -> Dict[str, Any]:
        """Get Poshmark-specific data"""
        return {
            "category": "Women's Fashion",
            "price_suggestion": 32.00,
            "size_chart": "Standard US sizing",
            "brand_verification": False
        }
    
    def _get_mercari_data(self, listing_content: Dict[str, Any]) -> Dict[str, Any]:
        """Get Mercari-specific data"""
        return {
            "category": "Fashion",
            "price_suggestion": 28.00,
            "shipping_weight": "1 lb",
            "condition_rating": 4
        }
    
    def _get_generic_data(self, listing_content: Dict[str, Any]) -> Dict[str, Any]:
        """Get generic marketplace data"""
        return {
            "category": "General",
            "price_suggestion": 25.00
        }