Backend: - services/ocr: PDF-Text via PyMuPDF, OCR (Tesseract) für Scans/Bilder, heuristischer Parser (Datum + Betrag je Zeile, CH/DE/US-Beträge). - routers/documents: /documents/preview (Upload -> Text -> Kandidaten -> gemeinsame Prüf-/Buchungslogik des CSV-Imports). csv_import refaktoriert: detect_rows() von CSV und Beleg gemeinsam genutzt. - requirements: PyMuPDF, pytesseract, pillow; install.sh installiert tesseract-ocr (+ deu). pytest: Heuristik-Parser und PDF-Vorschau. Frontend: - Import-Seite: CSV/PDF-Umschalter; PDF-Modus mit Beleg-Auslesen, extrahiertem Text zur Kontrolle und Best-Effort-Hinweis; gleiche Prüfansicht + Buchen. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
"""PDF-/Bild-Beleg-Import (Phase 5, lokal). Nutzt die Prüf-/Buchungslogik des CSV-Imports."""
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from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
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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, get_owned
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from ..models import Account, User
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from ..services import csv_import, ocr
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router = APIRouter(prefix="/documents", tags=["documents"])
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@router.post("/preview")
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async def preview(
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file: UploadFile = File(...),
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account_id: int = Form(...),
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db: Session = Depends(get_db),
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user: User = Depends(get_current_user),
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) -> dict:
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account = get_owned(db, Account, account_id, user)
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data = await file.read()
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try:
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text = ocr.extract_text(data, file.filename or "", file.content_type or "")
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except ocr.ExtractionError as exc:
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raise HTTPException(status_code=400, detail=str(exc))
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candidates = ocr.parse_transactions(text)
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rows = csv_import.detect_rows(db, user, account, candidates)
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return {
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"rows": rows,
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"text": text[:8000],
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"count": len(rows),
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"filename": file.filename or "",
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}
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