feat: Add multiple TVA entries support for Romanian receipts

- Add TvaEntry schema supporting multiple TVA rates (A, B, C, D codes)
- Update OCR extractor to extract multiple TVA entries from receipts
- Support both old (19%, 9%, 5%) and new Romanian rates (21%, 11% from Aug 2025)
- Add tva_breakdown, tva_total, items_count, vendor_address to Receipt model
- Update OCRPreview.vue to display TVA entries with rate badges
- Add "Detalii Suplimentare" section in ReceiptCreateView with editable TVA table
- Add TVA breakdown display in ReceiptDetailView
- Create database migration for new TVA columns

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2025-12-12 16:23:53 +02:00
parent 41ae97180e
commit 20448f7aa0
11 changed files with 1021 additions and 68 deletions

View File

@@ -11,7 +11,7 @@ from app.db.database import get_session
from app.db.crud.attachment import AttachmentCRUD
from app.services.ocr_service import ocr_service
from app.services.ocr_engine import OCREngine
from app.schemas.ocr import OCRResponse, OCRStatusResponse, ExtractionData
from app.schemas.ocr import OCRResponse, OCRStatusResponse, ExtractionData, TvaEntry
router = APIRouter()
@@ -78,6 +78,12 @@ async def extract_from_image(file: UploadFile = File(...)):
raise HTTPException(status_code=422, detail=message)
# Convert ExtractionResult to ExtractionData schema
# Convert tva_entries from dict to TvaEntry objects
tva_entries_schema = [
TvaEntry(code=e.get('code'), percent=e['percent'], amount=e['amount'])
for e in result.tva_entries
] if result.tva_entries else []
data = ExtractionData(
receipt_type=result.receipt_type,
receipt_number=result.receipt_number,
@@ -87,6 +93,10 @@ async def extract_from_image(file: UploadFile = File(...)):
partner_name=result.partner_name,
cui=result.cui,
description=result.description,
tva_entries=tva_entries_schema,
tva_total=result.tva_total,
address=result.address,
items_count=result.items_count,
confidence_amount=result.confidence_amount,
confidence_date=result.confidence_date,
confidence_vendor=result.confidence_vendor,
@@ -137,6 +147,12 @@ async def extract_from_attachment(
raise HTTPException(status_code=422, detail=message)
# Convert ExtractionResult to ExtractionData schema
# Convert tva_entries from dict to TvaEntry objects
tva_entries_schema = [
TvaEntry(code=e.get('code'), percent=e['percent'], amount=e['amount'])
for e in result.tva_entries
] if result.tva_entries else []
data = ExtractionData(
receipt_type=result.receipt_type,
receipt_number=result.receipt_number,
@@ -146,6 +162,10 @@ async def extract_from_attachment(
partner_name=result.partner_name,
cui=result.cui,
description=result.description,
tva_entries=tva_entries_schema,
tva_total=result.tva_total,
address=result.address,
items_count=result.items_count,
confidence_amount=result.confidence_amount,
confidence_date=result.confidence_date,
confidence_vendor=result.confidence_vendor,