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