Initial project scaffold
Full-stack Dutch supermarket price tracker with FastAPI backend, PostgreSQL/SQLAlchemy, Albert Heijn scraper, and Next.js frontend. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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from datetime import date, datetime
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from fastapi import APIRouter, Depends, Query
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from sqlalchemy import func, select
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from sqlalchemy.orm import Session, selectinload
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from ..database import get_db
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from ..models import PriceSnapshot, Product
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from ..schemas import CheapestProduct, Product as ProductSchema
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router = APIRouter(prefix="/api/prices", tags=["prices"])
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@router.get("/cheapest", response_model=list[CheapestProduct])
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def get_cheapest(
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date_filter: date = Query(default=None, alias="date"),
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limit: int = Query(default=20, le=100),
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db: Session = Depends(get_db),
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):
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target = date_filter or date.today()
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day_start = datetime(target.year, target.month, target.day, 0, 0, 0)
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day_end = datetime(target.year, target.month, target.day, 23, 59, 59)
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min_per_product = (
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select(
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PriceSnapshot.product_id,
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func.min(PriceSnapshot.price).label("min_price"),
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)
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.where(PriceSnapshot.timestamp.between(day_start, day_end))
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.group_by(PriceSnapshot.product_id)
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.subquery()
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)
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rows = db.execute(
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select(PriceSnapshot, Product)
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.join(
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min_per_product,
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(PriceSnapshot.product_id == min_per_product.c.product_id)
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& (PriceSnapshot.price == min_per_product.c.min_price),
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)
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.join(Product, PriceSnapshot.product_id == Product.id)
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.options(selectinload(Product.store))
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.order_by(PriceSnapshot.price.asc())
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.limit(limit)
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).all()
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return [
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CheapestProduct(
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product=ProductSchema.model_validate(product),
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price=snapshot.price,
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unit_price=snapshot.unit_price,
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unit_description=snapshot.unit_description,
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is_on_sale=snapshot.is_on_sale,
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timestamp=snapshot.timestamp,
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)
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for snapshot, product in rows
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]
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