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feat: Add multiple TVA entries support for Romanian receipts

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- 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:
Marius Mutu
2025-12-12 16:23:53 +02:00
parent 41ae97180e
commit 20448f7aa0
11 changed files with 1021 additions and 68 deletions
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44
data-entry-app/backend/app/schemas/ocr.py
View File

@@ -2,11 +2,18 @@
from datetime import date
from decimal import Decimal
from typing import Optional
from typing import Optional, List
from pydantic import BaseModel, Field
class TvaEntry(BaseModel):
"""Single TVA entry with code, percentage and amount."""
code: Optional[str] = Field(default=None, description="TVA code: A, B, C, D")
percent: int = Field(description="TVA percentage: 0, 5, 9, 19, 21")
amount: Decimal = Field(description="TVA amount for this rate")
class ExtractionData(BaseModel):
"""Extracted receipt data from OCR."""
@@ -19,6 +26,12 @@ class ExtractionData(BaseModel):
cui: Optional[str] = Field(default=None, description="CUI (fiscal identification code)")
description: Optional[str] = Field(default=None, description="Optional description")
# Additional extracted fields - Multiple TVA entries support
tva_entries: List[TvaEntry] = Field(default=[], description="List of TVA entries by rate (A, B, C, D)")
tva_total: Optional[Decimal] = Field(default=None, description="Total TVA amount")
address: Optional[str] = Field(default=None, description="Vendor address")
items_count: Optional[int] = Field(default=None, description="Number of items/articles")
confidence_amount: float = Field(default=0.0, ge=0, le=1, description="Amount extraction confidence")
confidence_date: float = Field(default=0.0, ge=0, le=1, description="Date extraction confidence")
confidence_vendor: float = Field(default=0.0, ge=0, le=1, description="Vendor extraction confidence")
@@ -30,18 +43,25 @@ class ExtractionData(BaseModel):
json_schema_extra = {
"example": {
"receipt_type": "bon_fiscal",
"receipt_number": "12345",
"receipt_series": None,
"receipt_date": "2024-01-15",
"amount": 125.50,
"partner_name": "MEGA IMAGE SRL",
"cui": "12345678",
"receipt_number": "1360760",
"receipt_series": "0146",
"receipt_date": "2025-10-11",
"amount": 186.16,
"partner_name": "FIVE-HOLDING S.A.",
"cui": "10562600",
"description": None,
"confidence_amount": 0.95,
"confidence_date": 0.90,
"confidence_vendor": 0.75,
"overall_confidence": 0.87,
"raw_text": "BON FISCAL\nMEGA IMAGE SRL\n..."
"tva_entries": [
{"code": "A", "percent": 19, "amount": 25.00},
{"code": "B", "percent": 9, "amount": 7.31}
],
"tva_total": 32.31,
"address": "JUD. CONSTANTA, MUN. CONSTANTA, STR. ION ROATA NR. 3",
"items_count": 17,
"confidence_amount": 0.98,
"confidence_date": 0.98,
"confidence_vendor": 0.95,
"overall_confidence": 0.97,
"raw_text": "FIVE-HOLDING S.A.\nCIF: RO10562600\n..."
}
}