099556213d
## Store Profiles System
- Add ProfileRegistry for CUI-based profile lookup
- Add BaseStoreProfile with generic extraction patterns
- Implement hot-reload via POST /api/data-entry/ocr/profiles/reload
## 12 Store Profiles
- LIDL: Multi-rate TVA (A, B, C, D codes)
- OMV, SOCAR: B2B with client CUI, YYYY.MM.DD dates
- BRICK, DEDEMAN: Standard TVA, e-factura support
- KINETERRA, BEST PRINT: Non-VAT payers (returns [])
- STEPOUT MARKET: TVA 5% (books/reduced rate)
- UNLIMITED KEYS: NUMERAR payment detection
- GAMA INK, ELECTROBERING, PICTUS VELUM: Standard TVA
## Flexible TVA Patterns
- All patterns use (\d{1,2})% to accept any rate
- Supports historical (19%, 9%, 5%) and current (21%, 11%)
## Payment Methods Fix
- Fixed base.py to support multiple payments of same type
- Changed deduplication from method-only to (method, amount) tuple
- Returns separate entries for split payments
## Tools
- Add generate_store_profile.py for automatic profile generation
- Analyzes PDFs via OCR API and detects patterns
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
103 lines
3.3 KiB
Python
103 lines
3.3 KiB
Python
"""
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ELECTROBERING S.R.L. store profile for OCR extraction.
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Electronics and home supplies store.
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"""
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import re
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from decimal import Decimal, InvalidOperation
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from typing import List, Dict, Any
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from .base import BaseStoreProfile
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from . import ProfileRegistry
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@ProfileRegistry.register
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class ElectroberingProfile(BaseStoreProfile):
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"""
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ELECTROBERING S.R.L. - standard TVA profile.
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Key characteristics:
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- Standard TVA format (single rate, any percentage)
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- Electronics and home supplies
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- May have client CUI for B2B purchases
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- CARD payment typical
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"""
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CUI_LIST = ["2744937"]
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NAME_PATTERNS = ["ELECTROBERING", "ELECTR0BERING", "ELECTROBERING SRL"]
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STORE_NAME = "ELECTROBERING S.R.L."
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# Standard TVA patterns (flexible - accepts any rate)
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TVA_PATTERNS = [
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# "TVA A: XX% = YY,YY" or "TVA-A XX% YY,YY"
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r'TVA\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
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# "A - XX,XX% = YY,YY"
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r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,]+)',
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# "TVA XX% YY,YY" (simple format without code)
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r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
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]
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def extract_tva_entries(self, text: str) -> List[dict]:
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"""
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Extract TVA entries from receipt text.
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Args:
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text: Raw OCR text from receipt
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Returns:
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List of TVA entries with code, percent, and amount
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"""
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entries = []
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seen = set()
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# Try coded patterns first
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for pattern in self.TVA_PATTERNS[:2]:
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for match in re.finditer(pattern, text, re.IGNORECASE):
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try:
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code = match.group(1).upper()
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percent = int(match.group(2))
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amount = self._parse_decimal(match.group(3))
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if amount and amount > 0:
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entry_key = (code, percent)
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if entry_key not in seen:
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entries.append({
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'code': code,
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'percent': percent,
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'amount': amount
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})
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seen.add(entry_key)
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except (ValueError, InvalidOperation, IndexError):
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continue
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# Fallback to simple format
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if not entries:
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simple_pattern = self.TVA_PATTERNS[2]
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for match in re.finditer(simple_pattern, text, re.IGNORECASE):
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try:
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percent = int(match.group(1))
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amount = self._parse_decimal(match.group(2))
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if amount and amount > 0:
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entries.append({
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'code': 'A',
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'percent': percent,
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'amount': amount
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})
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break
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except (ValueError, InvalidOperation):
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continue
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return entries
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def get_validation_hints(self) -> Dict[str, Any]:
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"""Return ELECTROBERING-specific validation hints."""
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return {
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"has_multi_rate_tva": False,
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"card_equals_total": True,
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"has_client_cui": True, # May have client CUI for B2B
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"has_efactura": False,
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"is_non_vat_payer": False,
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}
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