3763f2f114
Das alte Bild in der Chargen-Karte entfaellt - seit dem neuen Bild neben den Kennfeldern stand es doppelt auf der Seite. Der Rahmen ist jetzt hochkant (3:4) statt quadratisch. Lebensmittelverpackungen sind fast immer hoeher als breit; im Quadrat blieben links und rechts leere Streifen. Beim Import wurde image_url komplett verworfen, obwohl das JSON-Backup sie enthaelt - eingelesene Artikel blieben deshalb dauerhaft ohne Bild. Die Adresse wird jetzt uebernommen (bei bestehenden Artikeln nur ergaenzend, nie ueberschreibend); die lokale Kopie holt der Bildabruf beim ersten Ansehen. Bewusst nicht waehrend des Imports: Ein Backup mit 200 Artikeln wuerde sonst 200 Downloads in einer Anfrage abarbeiten. Ausserdem holen jetzt auch Artikelliste, Ein- und Auslagern ihr Vorschaubild aus der eigenen Datenbank statt direkt von Open Food Facts. Einzige Ausnahme bleibt der OFF-Vorschlag beim Scannen: Dort existiert der Artikel noch nicht. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
628 lines
22 KiB
Python
628 lines
22 KiB
Python
"""Export und Import von Beständen (CSV für Tabellen, JSON für Backups).
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Der Import arbeitet ausschließlich additiv: Unbekanntes wird angelegt, Chargen
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werden ergänzt – es wird nie etwas gelöscht oder überschrieben.
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"""
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from __future__ import annotations
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import csv
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import io
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import json
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from datetime import date, datetime, timezone
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from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
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from fastapi.responses import Response
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from sqlalchemy.orm import Session
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from ..database import get_db
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from ..deps import get_current_user, require_admin
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from ..services.dates import MONTH, clean_precision, normalize_best_before
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from ..services.group_codes import sync as sync_group_code
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from ..models import (
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BaseUnit,
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Category,
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DatePrecision,
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Group,
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Location,
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Lot,
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Movement,
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MovementType,
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Product,
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Unit,
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UnitKind,
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User,
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)
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from ..services.conversion import BASE_OF_KIND, display_unit_info, find_unit
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router = APIRouter(tags=["transfer"])
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CSV_FIELDS = [
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"barcode", "name", "marke", "einheit", "packungsgroesse", "gebinde",
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"gruppe", "kategorie", "mindestbestand", "menge", "menge_einheit", "mhd", "lagerort",
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]
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PACKAGE_TOKENS = {"packung", "package", "pkg", "pack"}
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# --------------------------------------------------------------------------
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# Export
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# --------------------------------------------------------------------------
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def _zeitstempel() -> str:
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"""Ortszeit als YYYY-MM-DD_HHMM für Dateinamen.
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Ohne Zeitstempel heißen mehrere Ausleitungen alle gleich und der Browser
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haengt (1), (2) an – dann weiß niemand mehr, welche die aktuelle ist.
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"""
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return datetime.now().strftime("%Y-%m-%d_%H%M")
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def _article_unit(product: Product) -> tuple[float, str]:
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"""Faktor und Bezeichnung der Artikeleinheit (Gebinde, sonst Produkteinheit)."""
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unit_name, unit_factor = display_unit_info(product)
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if product.package_size and product.package_size > 0:
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return product.package_size, (product.package_label or "Packung")
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return unit_factor, unit_name
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@router.get("/export/stock.csv")
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def export_stock_csv(
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db: Session = Depends(get_db), _: User = Depends(get_current_user)
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) -> Response:
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"""Eine Zeile je Charge – direkt in Excel/LibreOffice bearbeitbar."""
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buf = io.StringIO()
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writer = csv.writer(buf, delimiter=";", lineterminator="\r\n")
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writer.writerow(CSV_FIELDS)
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for product in db.query(Product).order_by(Product.name).all():
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unit_name, _ = display_unit_info(product)
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factor, amount_label = _article_unit(product)
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base = [
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product.barcode or "",
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product.name,
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product.brand or "",
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unit_name,
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product.package_size if product.package_size else "",
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product.package_label or "",
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product.group.name if product.group else "",
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_category_path(db, product.category),
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product.min_stock if product.min_stock is not None else "",
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]
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lots = (
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db.query(Lot)
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.filter(Lot.product_id == product.id)
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.order_by(Lot.best_before.is_(None), Lot.best_before)
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.all()
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)
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if not lots:
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# Produkt ohne Bestand: Stammdaten trotzdem mitnehmen.
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writer.writerow(base + ["", "", "", ""])
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continue
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for lot in lots:
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location = db.get(Location, lot.location_id) if lot.location_id else None
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writer.writerow(
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base
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+ [
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round(lot.quantity / factor, 6),
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amount_label,
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_format_best_before(lot),
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location.name if location else "",
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]
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)
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# BOM, damit Excel die Umlaute korrekt erkennt.
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return Response(
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content="" + buf.getvalue(),
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media_type="text/csv; charset=utf-8",
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headers={
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"Content-Disposition": f'attachment; filename="bestand_{_zeitstempel()}.csv"'
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},
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)
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@router.get("/export/backup.json")
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def export_backup_json(
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db: Session = Depends(get_db), _: User = Depends(get_current_user)
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) -> Response:
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"""Vollständiges Backup: Einheiten, Gruppen, Lagerorte, Produkte, Chargen."""
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locations = db.query(Location).order_by(Location.id).all()
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loc_name = {loc.id: loc.name for loc in locations}
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data = {
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"version": 1,
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"exported_at": datetime.now(timezone.utc).isoformat(),
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"exported_at_local": datetime.now().isoformat(timespec="seconds"),
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"units": [
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{"name": u.name, "kind": u.kind.value, "factor": u.factor}
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for u in db.query(Unit).order_by(Unit.id).all()
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],
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"groups": [
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{
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"name": g.name,
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"min_stock": g.min_stock,
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"min_stock_unit": g.min_stock_unit.name if g.min_stock_unit else None,
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}
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for g in db.query(Group).order_by(Group.id).all()
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],
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"locations": [
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{"name": loc.name, "parent": loc_name.get(loc.parent_id)}
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for loc in locations
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],
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"products": [],
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}
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for p in db.query(Product).order_by(Product.id).all():
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unit_name, _ = display_unit_info(p)
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lots = db.query(Lot).filter(Lot.product_id == p.id).all()
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data["products"].append(
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{
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"barcode": p.barcode,
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"name": p.name,
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"brand": p.brand,
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"image_url": p.image_url,
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"unit": unit_name,
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"package_size": p.package_size,
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"package_label": p.package_label,
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"date_precision": p.date_precision,
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"group": p.group.name if p.group else None,
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"category": _category_path(db, p.category),
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"min_stock": p.min_stock,
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"min_stock_unit": p.min_stock_unit.name if p.min_stock_unit else None,
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"min_stock_in_packages": bool(p.min_stock_in_packages),
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"lots": [
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{
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"quantity": lot.quantity,
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"best_before": lot.best_before.isoformat() if lot.best_before else None,
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"best_before_precision": lot.best_before_precision,
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"location": loc_name.get(lot.location_id),
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}
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for lot in lots
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],
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}
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)
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return Response(
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content=json.dumps(data, ensure_ascii=False, indent=2),
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media_type="application/json; charset=utf-8",
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headers={
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"Content-Disposition":
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f'attachment; filename="vorrania-backup_{_zeitstempel()}.json"'
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},
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)
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# --------------------------------------------------------------------------
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# Import (nur additiv)
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# --------------------------------------------------------------------------
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def _num(value) -> float | None:
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if value is None:
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return None
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text = str(value).strip().replace(",", ".")
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if text == "":
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return None
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return float(text)
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def _parse_date(value) -> date | None:
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text = (str(value) if value is not None else "").strip()
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if not text:
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return None
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for fmt in ("%Y-%m-%d", "%d.%m.%Y", "%d.%m.%y"):
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try:
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return datetime.strptime(text, fmt).date()
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except ValueError:
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continue
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raise ValueError(f"Datum nicht lesbar: {text}")
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def _parse_best_before(value, precision=None) -> tuple[date | None, str]:
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"""Liest ein MHD und erkennt dabei, ob nur Monat/Jahr angegeben war.
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Steht die Genauigkeit ausdrücklich in der Datei (JSON-Backup), gilt sie.
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Sonst wird sie aus der Schreibweise abgeleitet – "09/2026" ist eine
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Monatsangabe, "2026-09-07" eine tagesgenaue.
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"""
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text = (str(value) if value is not None else "").strip()
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if not text:
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return None, DatePrecision.day.value
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if precision == DatePrecision.month.value:
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return normalize_best_before(_parse_date(text), MONTH), MONTH
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for fmt in ("%m/%Y", "%Y-%m", "%m.%Y"):
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try:
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parsed = datetime.strptime(text, fmt).date()
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except ValueError:
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continue
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return normalize_best_before(parsed, MONTH), MONTH
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return _parse_date(text), DatePrecision.day.value
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def _format_best_before(lot: Lot) -> str:
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"""Monatsangaben als "09/2026" schreiben, damit die Datei lesbar bleibt."""
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if not lot.best_before:
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return ""
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if lot.best_before_precision == MONTH:
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return lot.best_before.strftime("%m/%Y")
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return lot.best_before.isoformat()
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IMPORT_MODES = {"add", "replace_listed", "replace_all"}
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def _clear_lots(db: Session, product: Product, user: User) -> None:
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"""Entfernt alle Chargen eines Produkts und protokolliert das als Korrektur."""
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lots = db.query(Lot).filter(Lot.product_id == product.id).all()
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total = float(sum(lot.quantity for lot in lots))
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for lot in lots:
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db.delete(lot)
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if total > 0:
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db.add(
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Movement(
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product_id=product.id,
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lot_id=None,
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user_id=user.id,
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type=MovementType.adjust,
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quantity=-total,
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unit_used="base",
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note="Import: Bestand ersetzt",
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)
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)
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db.flush()
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def _clear_all_lots(db: Session, user: User) -> None:
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for product in db.query(Product).all():
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_clear_lots(db, product, user)
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def _get_or_create_location(db: Session, name: str | None) -> Location | None:
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name = (name or "").strip()
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if not name:
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return None
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loc = db.query(Location).filter(Location.name == name).first()
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if loc is None:
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loc = Location(name=name)
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db.add(loc)
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db.flush()
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return loc
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def _category_path(db: Session, category: Category | None) -> str:
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"""Unterkategorien als "Süßwaren & Snacks > Schokolade" in EINE Spalte.
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So bleibt die CSV in Excel bedienbar, statt für jede Ebene eine eigene
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Spalte zu brauchen.
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"""
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if category is None:
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return ""
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teile = [category.name]
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aktuell, tiefe = category, 0
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while aktuell.parent_id is not None and tiefe < 10: # Schutz vor einem Ring
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aktuell = db.get(Category, aktuell.parent_id)
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if aktuell is None:
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break
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teile.append(aktuell.name)
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tiefe += 1
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return " > ".join(reversed(teile))
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def _get_or_create_category(db: Session, path: str | None) -> Category | None:
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"""Legt den ganzen Pfad an, falls Teile davon fehlen."""
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path = (path or "").strip()
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if not path:
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return None
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parent: Category | None = None
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for name in [t.strip() for t in path.split(">") if t.strip()]:
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query = db.query(Category).filter(Category.name == name)
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query = query.filter(
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Category.parent_id == (parent.id if parent else None)
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)
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node = query.first()
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if node is None:
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node = Category(name=name, parent_id=parent.id if parent else None)
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db.add(node)
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db.flush()
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parent = node
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return parent
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def _get_or_create_group(db: Session, name: str | None) -> Group | None:
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name = (name or "").strip()
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if not name:
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return None
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group = db.query(Group).filter(Group.name == name).first()
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if group is None:
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group = Group(name=name)
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db.add(group)
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db.flush()
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return group
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def _bildadresse_ergaenzen(product: Product, row: dict) -> None:
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"""Fehlende Bildadresse aus dem Backup nachtragen – vorhandene bleibt.
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Nur ergaenzend: Ein Import soll Daten hinzufuegen, nicht stillschweigend
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etwas ueberschreiben, das jemand von Hand gesetzt hat.
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"""
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adresse = (row.get("image_url") or "").strip()
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if adresse and not product.image_url:
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product.image_url = adresse
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def _get_or_create_product(db: Session, row: dict, created: list[str]) -> Product:
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"""Sucht per Barcode, sonst per Name; legt das Produkt sonst an."""
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barcode = (row.get("barcode") or "").strip() or None
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name = (row.get("name") or "").strip()
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if barcode:
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product = db.query(Product).filter(Product.barcode == barcode).first()
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if product:
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_bildadresse_ergaenzen(product, row)
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return product
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if name:
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product = db.query(Product).filter(Product.name == name).first()
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if product:
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_bildadresse_ergaenzen(product, row)
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return product
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if not name:
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raise ValueError("Produktname fehlt")
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unit = find_unit(db, (row.get("einheit") or "Stück"))
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if unit is None:
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raise ValueError(f"Unbekannte Einheit: {row.get('einheit')}")
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group = _get_or_create_group(db, row.get("gruppe"))
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category = _get_or_create_category(db, row.get("kategorie"))
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product = Product(
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barcode=barcode,
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name=name,
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brand=(row.get("marke") or "").strip() or None,
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# Die Bildadresse stand zwar immer im JSON-Backup, wurde beim Einlesen
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# aber verworfen - eingelesene Artikel blieben deshalb dauerhaft ohne
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# Bild. Die lokale Kopie holt sich der Bildabruf beim ersten Ansehen.
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image_url=(row.get("image_url") or "").strip() or None,
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base_unit=BASE_OF_KIND[unit.kind],
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display_unit_id=unit.id,
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package_size=_num(row.get("packungsgroesse")),
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package_label=(row.get("gebinde") or "").strip() or None,
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# Nur im JSON-Backup enthalten; aus der CSV kommt hier nichts.
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date_precision=clean_precision((row.get("mhd_genauigkeit") or "").strip() or None),
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group_id=group.id if group else None,
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category_id=category.id if category else None,
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min_stock=_num(row.get("mindestbestand")),
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source="import",
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)
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db.add(product)
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db.flush()
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# Damit ein eingelesenes Backup denselben Stand erzeugt wie das Anlegen
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# ueber die Oberflaeche.
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sync_group_code(db, product)
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created.append(product.name)
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return product
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def _quantity_to_base(db: Session, product: Product, amount: float, token: str) -> float:
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"""Rechnet eine Importmenge in Basiseinheiten um (kennt auch das Gebinde)."""
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text = (token or "").strip().lower()
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package_label = (product.package_label or "Packung").strip().lower()
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if text in PACKAGE_TOKENS or (text and text == package_label):
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if not product.package_size:
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raise ValueError(f"'{token}': keine Packungsgröße für {product.name} hinterlegt")
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return amount * product.package_size
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if not text:
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return amount # ohne Angabe: Basiseinheiten
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unit = find_unit(db, text)
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if unit is None:
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raise ValueError(f"Unbekannte Einheit: {token}")
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return amount * unit.factor
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def _import_csv(db: Session, content: bytes, user: User, mode: str) -> dict:
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text = content.decode("utf-8-sig", errors="replace")
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sample = text[:2048]
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delimiter = ";" if sample.count(";") >= sample.count(",") else ","
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reader = csv.DictReader(io.StringIO(text), delimiter=delimiter)
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created_products: list[str] = []
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lots_added = 0
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errors: list[str] = []
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cleared: set[int] = set()
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if mode == "replace_all":
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_clear_all_lots(db, user)
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for index, raw in enumerate(reader, start=2): # Zeile 1 = Kopfzeile
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row = {(k or "").strip().lower(): (v if v is not None else "") for k, v in raw.items()}
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if not any(str(v).strip() for v in row.values()):
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continue
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try:
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product = _get_or_create_product(db, row, created_products)
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# Beim Ersetzen: Bestand des Produkts einmalig leeren, bevor die
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# Zeilen dieser Datei dazukommen.
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if mode == "replace_listed" and product.id not in cleared:
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_clear_lots(db, product, user)
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cleared.add(product.id)
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amount = _num(row.get("menge"))
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if amount is None or amount <= 0:
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continue # Zeile ohne Bestand: nur Stammdaten
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quantity = _quantity_to_base(db, product, amount, row.get("menge_einheit", ""))
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location = _get_or_create_location(db, row.get("lagerort"))
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best_before, precision = _parse_best_before(row.get("mhd"))
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lot = Lot(
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product_id=product.id,
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quantity=quantity,
|
||
best_before=best_before,
|
||
best_before_precision=precision,
|
||
location_id=location.id if location else None,
|
||
)
|
||
db.add(lot)
|
||
db.flush()
|
||
db.add(
|
||
Movement(
|
||
product_id=product.id,
|
||
lot_id=lot.id,
|
||
user_id=user.id,
|
||
type=MovementType.in_,
|
||
quantity=quantity,
|
||
unit_used=row.get("menge_einheit") or "base",
|
||
note="Import",
|
||
)
|
||
)
|
||
lots_added += 1
|
||
except Exception as exc: # eine fehlerhafte Zeile darf den Rest nicht stoppen
|
||
errors.append(f"Zeile {index}: {exc}")
|
||
|
||
return {
|
||
"format": "csv",
|
||
"mode": mode,
|
||
"products_created": len(created_products),
|
||
"products_cleared": len(cleared),
|
||
"lots_added": lots_added,
|
||
"errors": errors,
|
||
}
|
||
|
||
|
||
def _import_json(db: Session, content: bytes, user: User, mode: str) -> dict:
|
||
data = json.loads(content.decode("utf-8-sig", errors="replace"))
|
||
created_products: list[str] = []
|
||
lots_added = 0
|
||
units_created = 0
|
||
errors: list[str] = []
|
||
cleared: set[int] = set()
|
||
|
||
if mode == "replace_all":
|
||
_clear_all_lots(db, user)
|
||
|
||
for entry in data.get("units", []):
|
||
try:
|
||
if db.query(Unit).filter(Unit.name == entry["name"]).first():
|
||
continue
|
||
db.add(
|
||
Unit(
|
||
name=entry["name"],
|
||
kind=UnitKind(entry.get("kind", "count")),
|
||
factor=float(entry.get("factor", 1)),
|
||
is_builtin=False,
|
||
)
|
||
)
|
||
units_created += 1
|
||
except Exception as exc:
|
||
errors.append(f"Einheit {entry!r}: {exc}")
|
||
db.flush()
|
||
|
||
for entry in data.get("groups", []):
|
||
_get_or_create_group(db, entry.get("name"))
|
||
for entry in data.get("locations", []):
|
||
_get_or_create_location(db, entry.get("name"))
|
||
db.flush()
|
||
# Übergeordnete Lagerorte nachziehen
|
||
for entry in data.get("locations", []):
|
||
parent_name = entry.get("parent")
|
||
if not parent_name:
|
||
continue
|
||
child = db.query(Location).filter(Location.name == entry.get("name")).first()
|
||
parent = db.query(Location).filter(Location.name == parent_name).first()
|
||
if child and parent and child.parent_id is None and child.id != parent.id:
|
||
child.parent_id = parent.id
|
||
|
||
for entry in data.get("products", []):
|
||
try:
|
||
row = {
|
||
"barcode": entry.get("barcode") or "",
|
||
"name": entry.get("name") or "",
|
||
"marke": entry.get("brand") or "",
|
||
"einheit": entry.get("unit") or "Stück",
|
||
"packungsgroesse": entry.get("package_size") or "",
|
||
"gebinde": entry.get("package_label") or "",
|
||
"mhd_genauigkeit": entry.get("date_precision") or "",
|
||
"kategorie": entry.get("category") or "",
|
||
"gruppe": entry.get("group") or "",
|
||
"mindestbestand": entry.get("min_stock") if entry.get("min_stock") is not None else "",
|
||
}
|
||
product = _get_or_create_product(db, row, created_products)
|
||
if mode == "replace_listed" and product.id not in cleared:
|
||
_clear_lots(db, product, user)
|
||
cleared.add(product.id)
|
||
for lot_entry in entry.get("lots", []):
|
||
quantity = float(lot_entry.get("quantity") or 0)
|
||
if quantity <= 0:
|
||
continue
|
||
location = _get_or_create_location(db, lot_entry.get("location"))
|
||
best_before, precision = _parse_best_before(
|
||
lot_entry.get("best_before"), lot_entry.get("best_before_precision")
|
||
)
|
||
lot = Lot(
|
||
product_id=product.id,
|
||
quantity=quantity,
|
||
best_before=best_before,
|
||
best_before_precision=precision,
|
||
location_id=location.id if location else None,
|
||
)
|
||
db.add(lot)
|
||
db.flush()
|
||
db.add(
|
||
Movement(
|
||
product_id=product.id,
|
||
lot_id=lot.id,
|
||
user_id=user.id,
|
||
type=MovementType.in_,
|
||
quantity=quantity,
|
||
unit_used="base",
|
||
note="Import",
|
||
)
|
||
)
|
||
lots_added += 1
|
||
except Exception as exc:
|
||
errors.append(f"Produkt {entry.get('name')!r}: {exc}")
|
||
|
||
return {
|
||
"format": "json",
|
||
"mode": mode,
|
||
"units_created": units_created,
|
||
"products_created": len(created_products),
|
||
"products_cleared": len(cleared),
|
||
"lots_added": lots_added,
|
||
"errors": errors,
|
||
}
|
||
|
||
|
||
@router.post("/import/stock")
|
||
def import_stock(
|
||
mode: str = "add",
|
||
file: UploadFile = File(...),
|
||
db: Session = Depends(get_db),
|
||
user: User = Depends(require_admin),
|
||
) -> dict:
|
||
"""Importiert CSV oder JSON.
|
||
|
||
mode:
|
||
add – nur ergänzen (Standard, löscht nie etwas)
|
||
replace_listed – Bestand der in der Datei genannten Produkte ersetzen
|
||
replace_all – alle Bestände vorher leeren (vollständige Wiederherstellung)
|
||
"""
|
||
if mode not in IMPORT_MODES:
|
||
raise HTTPException(status.HTTP_400_BAD_REQUEST, f"Unbekannter Modus: {mode}")
|
||
|
||
content = file.file.read()
|
||
if not content:
|
||
raise HTTPException(status.HTTP_400_BAD_REQUEST, "Datei ist leer")
|
||
|
||
filename = (file.filename or "").lower()
|
||
stripped = content.lstrip()[:1]
|
||
is_json = filename.endswith(".json") or stripped in (b"{", b"[")
|
||
|
||
try:
|
||
result = (
|
||
_import_json(db, content, user, mode)
|
||
if is_json
|
||
else _import_csv(db, content, user, mode)
|
||
)
|
||
except json.JSONDecodeError as exc:
|
||
db.rollback()
|
||
raise HTTPException(status.HTTP_400_BAD_REQUEST, f"JSON nicht lesbar: {exc}") from exc
|
||
except Exception as exc:
|
||
db.rollback()
|
||
raise HTTPException(status.HTTP_400_BAD_REQUEST, f"Import fehlgeschlagen: {exc}") from exc
|
||
|
||
db.commit()
|
||
return result
|