""" Pricing routes for card price tracking and market data """ from fastapi import APIRouter, Depends, HTTPException from sqlalchemy.orm import Session from pydantic import BaseModel from typing import List, Optional, Dict from datetime import datetime from app.database import get_db from app.models.card import Card from app.models.user import User from app.routers.auth import get_current_user router = APIRouter() # Pydantic models class PriceData(BaseModel): card_id: int card_name: str set_name: Optional[str] current_price: Optional[float] market_price: Optional[float] low_price: Optional[float] high_price: Optional[float] price_trend: str # "up", "down", "stable" last_updated: datetime class PriceAlert(BaseModel): id: int card_id: int user_id: int target_price: float condition: str # "below", "above" is_active: bool class CollectionValue(BaseModel): collection_id: int collection_name: str total_value: float card_count: int most_valuable_cards: List[Dict] # Routes @router.get("/card/{card_id}", response_model=PriceData) async def get_card_price( card_id: int, db: Session = Depends(get_db) ): """ Get current pricing data for a specific card """ card = db.query(Card).filter(Card.id == card_id).first() if not card: raise HTTPException(status_code=404, detail="Card not found") # TODO: Implement price fetching from external APIs # 1. Check if price data is cached and recent # 2. If not, fetch from TCGPlayer, Scryfall, etc. # 3. Update card price fields # 4. Return current pricing data return PriceData( card_id=card.id, card_name=card.name, set_name=card.set_name, current_price=card.current_price, market_price=card.market_price, low_price=card.low_price, high_price=card.high_price, price_trend="stable", last_updated=card.price_last_updated or datetime.now() ) @router.post("/update-prices") async def update_card_prices( card_ids: Optional[List[int]] = None, game: Optional[str] = None, force_update: bool = False, db: Session = Depends(get_db) ): """ Update price data for specified cards or all cards """ # TODO: Implement bulk price updates # 1. Determine which cards need price updates # 2. Batch API calls to pricing services # 3. Update database with new prices # 4. Handle rate limiting and errors gracefully return {"message": "Price updates not implemented yet"} @router.get("/collection/{collection_id}/value", response_model=CollectionValue) async def get_collection_value( collection_id: int, current_user: User = Depends(get_current_user), db: Session = Depends(get_db) ): """ Calculate the total value of a collection """ # TODO: Implement collection valuation # 1. Get all cards in collection with quantities # 2. Fetch current prices for all cards # 3. Calculate total value considering condition modifiers # 4. Identify most valuable cards return CollectionValue( collection_id=collection_id, collection_name="", total_value=0.0, card_count=0, most_valuable_cards=[] ) @router.post("/alerts", response_model=PriceAlert) async def create_price_alert( card_id: int, target_price: float, condition: str = "below", current_user: User = Depends(get_current_user), db: Session = Depends(get_db) ): """ Create a price alert for a card """ # TODO: Implement price alerts # 1. Create alert record # 2. Set up background monitoring # 3. Send notifications when conditions are met return PriceAlert( id=0, card_id=card_id, user_id=current_user.id, target_price=target_price, condition=condition, is_active=True ) @router.get("/market-trends/{game}") async def get_market_trends( game: str, timeframe: str = "7d", # 7d, 30d, 90d, 1y db: Session = Depends(get_db) ): """ Get market trends for a specific game """ # TODO: Implement market trend analysis # 1. Aggregate price data over time # 2. Calculate trends and statistics # 3. Identify hot cards and market movements return {"message": "Market trends not implemented yet"}