639126468f
Backend (FastAPI + PostgreSQL): Chargen mit MHD, FEFO-Auslagern, Einheiten-Umrechnung (Stueck/g/ml + Packungen), Open-Food-Facts-Lookup mit lokalem Fallback, JWT-Auth mit Rollen (Admin/Nutzer), erster Admin beim Setup, Einkaufsliste, Ablaufwarnung, Lagerorte, pytest fuer FEFO. Web-UI (React/Vite): Login, Dashboard, Ein-/Auslagern, Produkte, Lagerorte, Benutzerverwaltung, Einkaufsliste - rollenabhaengig. Deploy: docker-compose + install.sh (Docker-Autoinstall, Secrets), README und Roadmap fuer Schritt 2 (iOS) und Schritt 3. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
73 lines
2.0 KiB
Python
73 lines
2.0 KiB
Python
"""Open Food Facts Lookup-Client."""
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from __future__ import annotations
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import json
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import httpx
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from .config import get_settings
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settings = get_settings()
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def _guess_base_unit(quantity: str | None) -> str:
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"""Rät die Basiseinheit aus dem OFF-Feld 'quantity' (z.B. '500 g', '1 l')."""
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if not quantity:
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return "piece"
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q = quantity.lower()
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if "ml" in q or "cl" in q or "l" in q or "liter" in q:
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return "milliliter"
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if "kg" in q or " g" in q or "gramm" in q or q.strip().endswith("g"):
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return "gram"
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return "piece"
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def lookup_barcode(barcode: str) -> dict | None:
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"""Fragt Open Food Facts nach einem Barcode.
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Gibt ein vorbefülltes Produkt-Dict zurück oder None, wenn nicht gefunden.
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"""
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url = f"{settings.off_base_url}/api/v2/product/{barcode}.json"
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try:
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resp = httpx.get(
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url,
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timeout=settings.off_timeout_seconds,
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headers={"User-Agent": "Pantry-Selfhosted/1.0 (github: pantry)"},
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)
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except httpx.HTTPError:
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return None
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if resp.status_code != 200:
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return None
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data = resp.json()
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if data.get("status") != 1:
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return None
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product = data.get("product", {})
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name = (
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product.get("product_name_de")
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or product.get("product_name")
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or product.get("generic_name")
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or ""
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).strip()
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if not name:
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return None
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categories = product.get("categories") or ""
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category_tags = product.get("categories_tags") or []
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return {
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"barcode": barcode,
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"name": name,
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"brand": (product.get("brands") or "").strip() or None,
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"image_url": product.get("image_front_url") or product.get("image_url") or None,
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"base_unit": _guess_base_unit(product.get("quantity")),
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"quantity_text": product.get("quantity"),
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"category_suggestion": categories.split(",")[0].strip() if categories else None,
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"category_tags": category_tags,
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"source": "off",
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"off_raw": json.dumps(product)[:20000],
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}
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