fix(ocr): Fix store profile extraction patterns and module loading
Major fixes to OCR store profiles for Romanian receipt extraction: - Fix ProfileRegistry module path resolution (was loading 0 profiles) - Add multiline TVA extraction for Brick, Electrobering, Gama Ink - Add "CARTE CREDIT" payment detection for OMV/SOCAR gas stations - Handle OCR artifacts: TVA→TUA, "-"→"4", I→L in CUI markers - Add client CUI patterns for Brick receipts - Add profile selection logging to ocr_extractor.py - Create test script for all 29 PDFs (test_all_profiles.py) Test results: 13/29 passing (improved from 9/29) Remaining failures are primarily OCR quality issues. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude Agent
@@ -251,9 +251,12 @@ class ProfileRegistry:
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# Get list of profile modules (exclude __init__, base)
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module_names = cls._get_profile_module_names()
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# Determine the module prefix based on how THIS module was imported
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base_package = cls.__module__
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count = 0
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for module_name in module_names:
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full_name = f"backend.modules.data_entry.services.ocr.profiles.{module_name}"
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full_name = f"{base_package}.{module_name}"
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try:
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if full_name in sys.modules:
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@@ -349,8 +352,15 @@ class ProfileRegistry:
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module_names = cls._get_profile_module_names()
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# Determine the module prefix based on how THIS module was imported
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# This handles both:
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# - Running from backend dir: "modules.data_entry.services.ocr.profiles"
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# - Running from project root: "backend.modules.data_entry.services.ocr.profiles"
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this_module = cls.__module__ # e.g. "backend.modules..." or "modules..."
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base_package = this_module # Use the same prefix for child modules
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for module_name in module_names:
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full_name = f"backend.modules.data_entry.services.ocr.profiles.{module_name}"
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full_name = f"{base_package}.{module_name}"
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try:
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importlib.import_module(full_name)
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logger.debug(f"Loaded module: {module_name}")
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@@ -111,25 +111,34 @@ class BaseStoreProfile(ABC):
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(r'(?:^|\n|\s)MERAR\s*:?\s*(\d{1,6}[.,]\d{2})\b', 'NUMERAR', 0.70),
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]
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# Client section markers (for B2B receipts)
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# Client section markers (for B2B receipts) - More flexible patterns
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CLIENT_MARKERS = [
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r'C\.?\s*[I1]\.?\s*F\.?\s+CLIENT\s*:',
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r'C\.?\s*U\.?\s*[I1]\.?\s+CLIENT\s*:',
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r'CLIENT\s+C\.?\s*[UI1]\.?\s*[IF1]\.?\s*:',
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r'CLIENT\s*:',
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r'CUMPARATOR\s*:',
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r'BENEFICIAR\s*:',
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r'C\.?\s*[I1]\.?\s*F\.?\s+CLIENT', # "CIF CLIENT" (with or without colon)
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r'C\.?\s*U\.?\s*[I1]\.?\s+CLIENT', # "CUI CLIENT"
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r'CLIENT\s+C\.?\s*[UI1]\.?\s*[IF1]', # "CLIENT CIF" / "CLIENT CUI"
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r'CLIENT\s*:', # "CLIENT:"
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r'CUMPARATOR\s*:', # "CUMPARATOR:"
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r'BENEFICIAR\s*:', # "BENEFICIAR:"
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r'CUMP[AĂ]R[AĂ]TOR', # "CUMPARATOR" without colon
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r'COD\s+FISCAL\s+CLIENT', # "COD FISCAL CLIENT"
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]
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# Client CUI patterns (pattern, confidence)
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# Client CUI patterns (pattern, confidence) - More flexible
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CLIENT_CUI_PATTERNS = [
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(r'(R[O0]\d{6,10})\s*\n\s*CLIENT\s+C\.?\s*U\.?\s*[I1]\.?', 0.99),
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(r'(R[O0]\d{6,10})\s*:?\s*\n\s*CLIENT', 0.98),
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(r'C[I1]F\s+[A-Z]*\s*CLIENT\s*:?\s*(R[O0]\d{6,10})', 0.98),
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(r'C\.?\s*[I1]\.?\s*F\.?\s+CLIENT\s*:?\s*(R[O0]?\d{6,10})', 0.98),
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(r'C\.?\s*U\.?\s*[I1]\.?\s+CLIENT\s*:?\s*(R[O0]?\d{6,10})', 0.98),
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(r'CLIENT\s+C\.?\s*U\.?\s*[I1]\.?\s*:?\s*(R[O0]?\d{6,10})', 0.95),
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(r'CLIENT\s*:?\s*(R[O0]?\d{6,10})', 0.90),
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# "CIF CLIENT:XXXXXXX" or "CIF CLIENT: ROXXXXXXX" - most common format
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(r'C\.?[I1]\.?F\.?\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.99),
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# "CLIENT CIF: XXXXXXX"
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(r'CLIENT\s+C\.?[I1]\.?F\.?\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.98),
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# "CUI CLIENT: XXXXXXX"
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(r'C\.?U\.?[I1]\.?\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.98),
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# "ROXXXXXXX" followed by CLIENT marker
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(r'(R[O0]\d{6,10})\s*\n\s*CLIENT', 0.97),
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# "C.I.F. CLIENT: XXXXXXX"
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(r'C\.?\s*I\.?\s*F\.?\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.96),
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# "CLIENT: ROXXXXXXX" or "CLIENT: XXXXXXX"
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(r'CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.90),
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# "COD FISCAL CLIENT: XXXXXXX"
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(r'COD\s+FISCAL\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.95),
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]
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# Company type indicators (for identifying company names)
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@@ -2,11 +2,16 @@
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BRICK (Five-Holding) store profile for OCR extraction.
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Five-Holding S.A. operates BRICK stores with standard receipt format.
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Receipt structure:
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- TVA format: "TOTAL TVA A - 21%" with amount on next line
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- Payment: "CARD" on separate line (amount from TOTAL LEI)
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- Client CUI: "CLIENT C.U.L./C.IF. :ROXXXXXXX" (OCR reads I as L)
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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 typing import List, Dict, Any, Tuple, Optional
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from .base import BaseStoreProfile
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from . import ProfileRegistry
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@@ -15,32 +20,60 @@ from . import ProfileRegistry
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@ProfileRegistry.register
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class BrickProfile(BaseStoreProfile):
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"""
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FIVE-HOLDING S.A. (BRICK) - standard TVA format.
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FIVE-HOLDING S.A. (BRICK) - standard TVA format with client CUI.
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Key characteristics:
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- Standard TVA format
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- Single TVA rate typically
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- No client CUI on receipts
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- Standard TVA format with rate code (A, B, etc.)
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- TVA amount on separate line after percentage
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- CARD payment indicated by keyword (amount derived from total)
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- Client CUI in format: CLIENT C.U.L./C.IF.
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- OCR often reads "I" as "L" in CUI markers
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"""
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CUI_LIST = ["10562600"]
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NAME_PATTERNS = ["BRICK", "FIVE-HOLDING", "FIVE HOLDING", "BR1CK"] # OCR variants
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NAME_PATTERNS = ["BRICK", "FIVE-HOLDING", "FIVE HOLDING", "BR1CK", "F1VE"]
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STORE_NAME = "FIVE-HOLDING S.A."
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# Standard TVA patterns (flexible - accepts any rate)
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# BRICK TVA patterns (amount often on separate line)
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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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# Simple: "TVA XX% YY,YY"
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r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
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# "TOTAL TVA A - 21%" with amount on next line (captured as multiline)
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r'TOTAL\s+TVA\s*([A-D])\s*[-:]\s*(\d{1,2})\s*%\s*\n?\s*([\d.,]+)',
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# "OTAL IVAA 21%" - OCR error variant
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r'O?TAL\s+[IT]VA\s*([A-D])\s*[-:]?\s*(\d{1,2})\s*%\s*\n?\s*([\d.,]+)',
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# "TOTAL TVA A 21%" without separator
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r'TOTAL\s+TVA\s+([A-D])\s+(\d{1,2})\s*%\s*\n?\s*([\d.,]+)',
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# "TVA A: XX% = YY,YY" - inline format
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r'TVA\s*([A-D])\s*[-:]?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
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]
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# TOTAL TVA BON pattern (fallback)
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TOTAL_TVA_BON_PATTERN = r'TOTAL\s+TVA\s*BON\s*\n?\s*([\d.,]+)'
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# Client CUI patterns - specific to Brick (handles OCR L/I confusion)
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CLIENT_CUI_PATTERNS = [
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# "CLIENT C.U.L./C.IF. :R01879855" - exact OCR format (I->L)
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(r'CLIENT\s+C\.?U\.?[LI1]\.?\s*/?\s*C\.?[LI1]\.?F\.?\s*:?\s*(R?O?\d{6,10})', 0.99),
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# "CLIENT C.U.I./C.I.F.: RO1879855" - standard format
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(r'CLIENT\s+C\.?U\.?I\.?\s*/?\s*C\.?I\.?F\.?\s*:?\s*(R?O?\s*\d{6,10})', 0.98),
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# "CIF CLIENT: XXXXXXX" - alternative format
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(r'CIF\s+CLIENT\s*:?\s*(R?O?\s*\d{6,10})', 0.95),
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]
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# Client markers for Brick
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CLIENT_MARKERS = [
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r'CLIENT\s+C\.?U\.?[LI1]',
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r'CLIENT\s+C\.?I\.?F',
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r'CIF\s+CLIENT',
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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 BRICK-specific TVA entries.
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BRICK receipts show TVA in multi-line format:
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"TOTAL TVA A - 21%"
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"32.31"
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Args:
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text: Raw OCR text from receipt
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@@ -48,11 +81,12 @@ class BrickProfile(BaseStoreProfile):
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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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text_upper = text.upper()
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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 coded patterns first (with multiline support)
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for pattern in self.TVA_PATTERNS:
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for match in re.finditer(pattern, text_upper, re.IGNORECASE | re.MULTILINE):
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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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@@ -67,35 +101,182 @@ class BrickProfile(BaseStoreProfile):
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'amount': amount
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})
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seen.add(entry_key)
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return entries # Brick usually has single TVA rate
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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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# Fallback: "TOTAL TVA BON" with amount on next line
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match = re.search(self.TOTAL_TVA_BON_PATTERN, text_upper, re.IGNORECASE | re.MULTILINE)
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if match:
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try:
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amount = self._parse_decimal(match.group(1))
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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': 19, # Default rate
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'amount': amount
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})
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except (ValueError, InvalidOperation):
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pass
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return entries
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def extract_payment_methods(self, text: str) -> List[dict]:
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"""
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Extract BRICK-specific payment methods.
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BRICK receipts show payment method on separate line:
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"TOTAL LEI"
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"21.18"
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"CARD"
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"0.00" <- REST (change)
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When CARD appears with REST=0, full amount was paid by card.
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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 payment methods with method, amount, and confidence
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"""
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payments = []
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text_upper = text.upper()
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lines = text_upper.split('\n')
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# Find TOTAL LEI amount
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total_amount = None
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for i, line in enumerate(lines):
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if 'TOTAL' in line and 'LEI' in line:
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# Amount is likely on next line
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if i + 1 < len(lines):
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amount_str = lines[i + 1].strip()
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total_amount = self._parse_decimal(amount_str)
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break
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# Also try inline: "TOTAL LEI 21.18"
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match = re.search(r'TOTAL\s+LEI\s*([\d.,]+)', line)
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if match:
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total_amount = self._parse_decimal(match.group(1))
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break
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if not total_amount:
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# Fallback to generic total extraction
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total_amount, _ = self.extract_total(text)
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if not total_amount:
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return []
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# Check for CARD or NUMERAR keywords
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has_card = any('CARD' in line for line in lines)
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has_numerar = any('NUMERAR' in line for line in lines)
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# Find REST amount to determine actual card amount
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rest_amount = Decimal('0')
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for i, line in enumerate(lines):
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if 'REST' in line:
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# REST amount is on next line or same line
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match = re.search(r'REST\s*([\d.,]+)', line)
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if match:
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rest_amount = self._parse_decimal(match.group(1)) or Decimal('0')
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elif i + 1 < len(lines):
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rest_amount = self._parse_decimal(lines[i + 1].strip()) or Decimal('0')
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break
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if has_card:
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# Card payment = total - rest
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card_amount = total_amount - rest_amount
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if card_amount > 0:
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payments.append({
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'method': 'CARD',
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'amount': card_amount,
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'confidence': 0.95
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})
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if has_numerar:
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# If both card and cash, need more complex logic
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# For now, assume numerar is the rest if card is present
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if not has_card:
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payments.append({
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'method': 'NUMERAR',
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'amount': total_amount,
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'confidence': 0.95
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})
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elif rest_amount > 0:
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payments.append({
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'method': 'NUMERAR',
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'amount': rest_amount,
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'confidence': 0.90
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})
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# If no explicit payment keyword but REST=0, assume card
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if not payments and rest_amount == 0:
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# Check for any payment indicators
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for line in lines:
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if 'CARD' in line or 'DEBIT' in line or 'CREDIT' in line:
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payments.append({
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'method': 'CARD',
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'amount': total_amount,
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'confidence': 0.90
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})
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break
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# FALLBACK: If still no payment found but we have total amount,
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# assume CARD for business receipts (Brick stores usually accept card)
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# This handles cases where OCR fails to capture payment method
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if not payments and total_amount and total_amount > 0:
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# Check if this is a fiscal receipt (BON FISCAL)
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is_fiscal = 'BON FISCAL' in text_upper or 'FISCAL' in text_upper
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if is_fiscal:
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payments.append({
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'method': 'CARD',
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'amount': total_amount,
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'confidence': 0.70 # Lower confidence for inferred payment
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})
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return payments
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def extract_client_cui(self, text: str) -> Tuple[Optional[str], float]:
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"""
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Extract client CUI from BRICK receipt.
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BRICK uses format: "CLIENT C.U.L./C.IF. :R01879855"
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Note: OCR often reads "I" as "L" in these markers.
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Args:
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text: Raw OCR text from receipt
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Returns:
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Tuple of (cui, confidence) or (None, 0.0)
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"""
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text_upper = text.upper()
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# Check for Brick client markers
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has_client = any(
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re.search(marker, text_upper, re.IGNORECASE)
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for marker in self.CLIENT_MARKERS
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)
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if not has_client:
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return (None, 0.0)
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# Try Brick-specific patterns
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for pattern, confidence in self.CLIENT_CUI_PATTERNS:
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match = re.search(pattern, text_upper, re.IGNORECASE)
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if match:
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cui = match.group(1)
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# Clean up: remove RO prefix, spaces
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cui_digits = re.sub(r'[^0-9]', '', cui)
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if 6 <= len(cui_digits) <= 10:
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return (cui_digits, confidence)
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return (None, 0.0)
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def get_validation_hints(self) -> Dict[str, Any]:
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"""Return BRICK-specific validation hints."""
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return {
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"has_multi_rate_tva": False,
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"card_equals_total": False,
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"has_client_cui": False,
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"card_equals_total": True, # Card amount equals total when REST=0
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"has_client_cui": True, # Brick receipts CAN have client CUI
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"has_efactura": False,
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"is_non_vat_payer": False,
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"tva_on_separate_line": True, # TVA amount on next line
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}
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||||
|
||||
@@ -2,11 +2,16 @@
|
||||
ELECTROBERING S.R.L. store profile for OCR extraction.
|
||||
|
||||
Electronics and home supplies store.
|
||||
|
||||
Receipt structure:
|
||||
- TVA format: "TOTAL TVA A - - 19%" with amount on next line
|
||||
- "TOTAL TVA BON" with total TVA amount
|
||||
- Client CUI: "CIF CLIENT: XXXXXXX"
|
||||
"""
|
||||
|
||||
import re
|
||||
from decimal import Decimal, InvalidOperation
|
||||
from typing import List, Dict, Any
|
||||
from typing import List, Dict, Any, Tuple, Optional
|
||||
|
||||
from .base import BaseStoreProfile
|
||||
from . import ProfileRegistry
|
||||
@@ -15,11 +20,11 @@ from . import ProfileRegistry
|
||||
@ProfileRegistry.register
|
||||
class ElectroberingProfile(BaseStoreProfile):
|
||||
"""
|
||||
ELECTROBERING S.R.L. - standard TVA profile.
|
||||
ELECTROBERING S.R.L. - standard TVA profile with multiline support.
|
||||
|
||||
Key characteristics:
|
||||
- Standard TVA format (single rate, any percentage)
|
||||
- Electronics and home supplies
|
||||
- TVA format with rate on one line, amount on next
|
||||
- Double-dash separators common (OCR artifact)
|
||||
- May have client CUI for B2B purchases
|
||||
- CARD payment typical
|
||||
"""
|
||||
@@ -28,19 +33,28 @@ class ElectroberingProfile(BaseStoreProfile):
|
||||
NAME_PATTERNS = ["ELECTROBERING", "ELECTR0BERING", "ELECTROBERING SRL"]
|
||||
STORE_NAME = "ELECTROBERING S.R.L."
|
||||
|
||||
# Standard TVA patterns (flexible - accepts any rate)
|
||||
# ELECTROBERING TVA patterns (handles double-dash and multiline)
|
||||
TVA_PATTERNS = [
|
||||
# "TVA A: XX% = YY,YY" or "TVA-A XX% YY,YY"
|
||||
r'TVA\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "A - XX,XX% = YY,YY"
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "TVA XX% YY,YY" (simple format without code)
|
||||
r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
|
||||
# "TOTAL TVA A - - 19%" with amount on next line
|
||||
r'TOTAL\s+TVA\s*([A-D])\s*[-\s]+(\d{1,2})\s*%',
|
||||
# "TOTAL TVA A 19%" without separator
|
||||
r'TOTAL\s+TVA\s+([A-D])\s+(\d{1,2})\s*%',
|
||||
# Standard: "TVA A: XX% = YY,YY"
|
||||
r'TVA\s*([A-D])\s*[-:]?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
]
|
||||
|
||||
# TOTAL TVA BON pattern (fallback)
|
||||
TOTAL_TVA_BON_PATTERN = r'TOTAL\s+TVA\s+BON'
|
||||
|
||||
def extract_tva_entries(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract TVA entries from receipt text.
|
||||
Extract ELECTROBERING-specific TVA entries.
|
||||
|
||||
ELECTROBERING receipts show TVA in multi-line format:
|
||||
"TOTAL TVA A - - 19%"
|
||||
"5.59"
|
||||
"TOTAL TVA BON"
|
||||
"5.59"
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
@@ -49,45 +63,61 @@ class ElectroberingProfile(BaseStoreProfile):
|
||||
List of TVA entries with code, percent, and amount
|
||||
"""
|
||||
entries = []
|
||||
seen = set()
|
||||
text_upper = text.upper()
|
||||
lines = text_upper.split('\n')
|
||||
|
||||
# Try coded patterns first
|
||||
for pattern in self.TVA_PATTERNS[:2]:
|
||||
for match in re.finditer(pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
code = match.group(1).upper()
|
||||
percent = int(match.group(2))
|
||||
amount = self._parse_decimal(match.group(3))
|
||||
|
||||
if amount and amount > 0:
|
||||
entry_key = (code, percent)
|
||||
if entry_key not in seen:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
seen.add(entry_key)
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
|
||||
# Fallback to simple format
|
||||
if not entries:
|
||||
simple_pattern = self.TVA_PATTERNS[2]
|
||||
for match in re.finditer(simple_pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
percent = int(match.group(1))
|
||||
amount = self._parse_decimal(match.group(2))
|
||||
# Find TVA rate line and get amount from next line
|
||||
for i, line in enumerate(lines):
|
||||
# Match "TOTAL TVA A - - 19%" or "TOTAL TVA A 19%"
|
||||
match = re.search(r'TOTAL\s+TVA\s*([A-D])\s*[-\s]+(\d{1,2})\s*%', line)
|
||||
if match:
|
||||
code = match.group(1)
|
||||
percent = int(match.group(2))
|
||||
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
break
|
||||
return entries
|
||||
|
||||
# Fallback: Find TOTAL TVA BON and get amount
|
||||
for i, line in enumerate(lines):
|
||||
if re.search(self.TOTAL_TVA_BON_PATTERN, line):
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': 19, # Default Romanian TVA rate
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
|
||||
# Last fallback: inline format "TVA A: XX% = YY,YY"
|
||||
for pattern in [self.TVA_PATTERNS[2]]:
|
||||
match = re.search(pattern, text_upper, re.IGNORECASE)
|
||||
if match and len(match.groups()) >= 3:
|
||||
try:
|
||||
code = match.group(1)
|
||||
percent = int(match.group(2))
|
||||
amount = self._parse_decimal(match.group(3))
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
except (ValueError, InvalidOperation):
|
||||
continue
|
||||
pass
|
||||
|
||||
return entries
|
||||
|
||||
@@ -99,4 +129,5 @@ class ElectroberingProfile(BaseStoreProfile):
|
||||
"has_client_cui": True, # May have client CUI for B2B
|
||||
"has_efactura": False,
|
||||
"is_non_vat_payer": False,
|
||||
"tva_on_separate_line": True,
|
||||
}
|
||||
|
||||
@@ -2,6 +2,10 @@
|
||||
GAMA INK SERVICE SRL store profile for OCR extraction.
|
||||
|
||||
Toner refill and printer supplies store.
|
||||
|
||||
Receipt structure:
|
||||
- TVA format: "TOTAL TVA A 4 19%" with amount on next line (4 is OCR for -)
|
||||
- "TOTAL TVA BON" with total TVA amount
|
||||
"""
|
||||
|
||||
import re
|
||||
@@ -15,11 +19,11 @@ from . import ProfileRegistry
|
||||
@ProfileRegistry.register
|
||||
class GamaInkProfile(BaseStoreProfile):
|
||||
"""
|
||||
GAMA INK SERVICE SRL - standard TVA profile.
|
||||
GAMA INK SERVICE SRL - standard TVA profile with multiline support.
|
||||
|
||||
Key characteristics:
|
||||
- Standard TVA format (single rate, any percentage)
|
||||
- Service-based (toner refill, printer supplies)
|
||||
- TVA format with rate on one line, amount on next
|
||||
- OCR often reads "-" as "4" (e.g., "A 4 19%" instead of "A - 19%")
|
||||
- CARD payment typical
|
||||
"""
|
||||
|
||||
@@ -27,21 +31,23 @@ class GamaInkProfile(BaseStoreProfile):
|
||||
NAME_PATTERNS = ["GAMA INK", "GAMA", "GAMAINK", "GAMA INK SERVICE"]
|
||||
STORE_NAME = "GAMA INK SERVICE SRL"
|
||||
|
||||
# Standard TVA patterns (flexible - accepts any rate)
|
||||
# GAMA INK TVA patterns (handles OCR errors)
|
||||
TVA_PATTERNS = [
|
||||
# "TVA A: XX% = YY,YY" or "TVA-A XX% YY,YY"
|
||||
r'TVA\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "A - XX,XX% = YY,YY"
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "TVA XX% YY,YY" (simple format without code)
|
||||
r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
|
||||
# "TVA: YY,YY" (amount only, percent inferred)
|
||||
r'TVA\s*:?\s*([\d.,]+)\s*(?:LEI|RON)?',
|
||||
# "TOTAL TVA A 4 19%" (4 is OCR for -)
|
||||
r'TOTAL\s+TVA\s*([A-D])\s*[4\-\s]+(\d{1,2})\s*%',
|
||||
# "TOTAL TVA A - 19%"
|
||||
r'TOTAL\s+TVA\s+([A-D])\s+(\d{1,2})\s*%',
|
||||
]
|
||||
|
||||
# TOTAL TVA BON pattern (fallback)
|
||||
TOTAL_TVA_BON_PATTERN = r'TOTAL\s+TVA\s+BON'
|
||||
|
||||
def extract_tva_entries(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract TVA entries from receipt text.
|
||||
Extract GAMA INK-specific TVA entries.
|
||||
|
||||
Format: "TOTAL TVA A 4 19%" on one line, amount on next line.
|
||||
Note: OCR reads "-" as "4" sometimes.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
@@ -50,45 +56,43 @@ class GamaInkProfile(BaseStoreProfile):
|
||||
List of TVA entries with code, percent, and amount
|
||||
"""
|
||||
entries = []
|
||||
seen = set()
|
||||
text_upper = text.upper()
|
||||
lines = text_upper.split('\n')
|
||||
|
||||
# Try coded patterns first (have both code and percent)
|
||||
for pattern in self.TVA_PATTERNS[:2]:
|
||||
for match in re.finditer(pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
code = match.group(1).upper()
|
||||
percent = int(match.group(2))
|
||||
amount = self._parse_decimal(match.group(3))
|
||||
|
||||
if amount and amount > 0:
|
||||
entry_key = (code, percent)
|
||||
if entry_key not in seen:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
seen.add(entry_key)
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
|
||||
# Fallback to simple format (percent + amount without code)
|
||||
if not entries:
|
||||
simple_pattern = self.TVA_PATTERNS[2]
|
||||
for match in re.finditer(simple_pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
percent = int(match.group(1))
|
||||
amount = self._parse_decimal(match.group(2))
|
||||
# Find TVA rate line and get amount from next line
|
||||
for i, line in enumerate(lines):
|
||||
# Match "TOTAL TVA A 4 19%" or "TOTAL TVA A - 19%"
|
||||
match = re.search(r'TOTAL\s+TVA\s*([A-D])\s*[4\-\s]+(\d{1,2})\s*%', line)
|
||||
if match:
|
||||
code = match.group(1)
|
||||
percent = int(match.group(2))
|
||||
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
break
|
||||
except (ValueError, InvalidOperation):
|
||||
continue
|
||||
return entries
|
||||
|
||||
# Fallback: Find TOTAL TVA BON and get amount
|
||||
for i, line in enumerate(lines):
|
||||
if re.search(self.TOTAL_TVA_BON_PATTERN, line):
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': 19, # Default Romanian TVA rate
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
|
||||
return entries
|
||||
|
||||
@@ -97,7 +101,8 @@ class GamaInkProfile(BaseStoreProfile):
|
||||
return {
|
||||
"has_multi_rate_tva": False,
|
||||
"card_equals_total": True,
|
||||
"has_client_cui": False,
|
||||
"has_client_cui": True, # May have client CUI for business
|
||||
"has_efactura": False,
|
||||
"is_non_vat_payer": False,
|
||||
"tva_on_separate_line": True,
|
||||
}
|
||||
|
||||
@@ -5,6 +5,7 @@ OMV receipts typically include client CUI and use standard TVA format.
|
||||
Common at gas stations with fuel purchases.
|
||||
|
||||
Date format: YYYY. MM. DD with spaces (e.g., "2025. 08. 14")
|
||||
OCR quirk: Numbers often have spaces before decimals (e.g., "55, 22" instead of "55,22")
|
||||
"""
|
||||
|
||||
import re
|
||||
@@ -24,17 +25,24 @@ class OMVProfile(BaseStoreProfile):
|
||||
Key characteristics:
|
||||
- Standard TVA format (usually single rate, any percentage)
|
||||
- Includes client CUI on receipt (for business purchases)
|
||||
- TVA table format: "A-XX,XX% base_amount tva_amount"
|
||||
- TVA table format: "A-XX, XX% base_amount tva_amount" (with OCR spaces)
|
||||
- Supports historical rates (19%) and current rates (21%)
|
||||
- Date format: YYYY. MM. DD (with spaces)
|
||||
- Client CUI format: "CLIENT C.U. I./C.I.F.: ROXXXXXXX"
|
||||
"""
|
||||
|
||||
CUI_LIST = ["11201891"]
|
||||
NAME_PATTERNS = ["OMV", "PETROM", "OMV PETROM", "0MV"] # OCR variants
|
||||
STORE_NAME = "OMV PETROM MARKETING S.R.L."
|
||||
|
||||
# OMV TVA table pattern: "A-19,00% 285,66 49,58" (code-percent base tva)
|
||||
TVA_TABLE_PATTERN = r'([A-D])\s*[-:]\s*(\d{1,2})[.,]\d{2}\s*%\s+([\d.,]+)\s+([\d.,]+)'
|
||||
# OMV TVA table patterns (handles OCR spaces in numbers)
|
||||
# Format: "A-21, 00% 55, 22 318, 16" (rate, TVA amount, total)
|
||||
TVA_TABLE_PATTERNS = [
|
||||
# "A-21, 00% 55, 22 318, 16" - with spaces in numbers
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,\s]*\d{0,2}\s*%\s+([\d.,\s]+)\s+([\d.,\s]+)',
|
||||
# "TOTAL TAXE: 55, 22" - fallback to TOTAL TAXE
|
||||
r'TOTAL\s+TAXE\s*:?\s*([\d.,\s]+)',
|
||||
]
|
||||
|
||||
# Standard TVA pattern fallback
|
||||
TVA_STANDARD_PATTERN = r'TVA\s*:?\s*([\d.,]+)'
|
||||
@@ -49,12 +57,38 @@ class OMVProfile(BaseStoreProfile):
|
||||
(r'(\d{2})[.,]\s*(\d{2})[.,]\s*(\d{4})', 0.85, 'dmy'),
|
||||
]
|
||||
|
||||
# Client CUI patterns for OMV (unique format)
|
||||
CLIENT_CUI_PATTERNS = [
|
||||
# "CLIENT C.U. I./C.I.F.: RO1879855"
|
||||
(r'CLIENT\s+C\.?\s*U\.?\s*I\.?\s*/?\s*C\.?\s*I\.?\s*F\.?\s*:?\s*(R?O?\s*\d{6,10})', 0.99),
|
||||
# "C.U.I./C.I.F. CLIENT: XXXXXXX"
|
||||
(r'C\.?\s*U\.?\s*I\.?\s*/?\s*C\.?\s*I\.?\s*F\.?\s+CLIENT\s*:?\s*(R?O?\s*\d{6,10})', 0.98),
|
||||
# Fallback to simpler pattern
|
||||
(r'CLIENT\s*:?\s*(R?O?\s*\d{6,10})', 0.90),
|
||||
]
|
||||
|
||||
# Client markers for OMV
|
||||
CLIENT_MARKERS = [
|
||||
r'CLIENT\s+C\.?\s*U\.?\s*I',
|
||||
r'CLIENT\s+C\.?\s*I\.?\s*F',
|
||||
r'NUME\s+CLIENT',
|
||||
r'CLIENT\s*:',
|
||||
]
|
||||
|
||||
def _clean_ocr_number(self, value: str) -> str:
|
||||
"""Remove OCR spaces from numbers (e.g., '55, 22' -> '55,22')."""
|
||||
# Remove spaces around commas and periods
|
||||
value = re.sub(r'\s*([.,])\s*', r'\1', value)
|
||||
# Remove any remaining spaces
|
||||
value = value.replace(' ', '')
|
||||
return value
|
||||
|
||||
def extract_tva_entries(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract OMV-specific TVA entries.
|
||||
|
||||
OMV receipts often show TVA in table format with base and TVA amounts.
|
||||
Falls back to standard extraction if table format not found.
|
||||
OMV receipts show TVA in table format with spaces in numbers.
|
||||
Format: "A-21, 00% 55, 22 318, 16" (rate, TVA amount, base)
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
@@ -63,35 +97,138 @@ class OMVProfile(BaseStoreProfile):
|
||||
List of TVA entries with code, percent, and amount
|
||||
"""
|
||||
entries = []
|
||||
seen = set()
|
||||
text_upper = text.upper()
|
||||
|
||||
# Try table format first (more accurate)
|
||||
for match in re.finditer(self.TVA_TABLE_PATTERN, text, re.IGNORECASE):
|
||||
# Try table format first: "A-21, 00% 55, 22 318, 16"
|
||||
table_pattern = self.TVA_TABLE_PATTERNS[0]
|
||||
for match in re.finditer(table_pattern, text_upper):
|
||||
try:
|
||||
code = match.group(1).upper()
|
||||
percent = int(match.group(2))
|
||||
# TVA amount is the second number (smaller one)
|
||||
tva_amount = self._parse_decimal(match.group(4))
|
||||
# Clean OCR spaces from amounts
|
||||
tva_amount_str = self._clean_ocr_number(match.group(3))
|
||||
tva_amount = self._parse_decimal(tva_amount_str)
|
||||
|
||||
if tva_amount and tva_amount > 0:
|
||||
entry_key = (code, percent)
|
||||
if entry_key not in seen:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': tva_amount
|
||||
})
|
||||
seen.add(entry_key)
|
||||
except (ValueError, InvalidOperation):
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': tva_amount
|
||||
})
|
||||
return entries # OMV usually has single TVA rate
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
|
||||
# Fallback: "TOTAL TAXE: 55, 22"
|
||||
fallback_pattern = self.TVA_TABLE_PATTERNS[1]
|
||||
match = re.search(fallback_pattern, text_upper)
|
||||
if match:
|
||||
try:
|
||||
tva_amount_str = self._clean_ocr_number(match.group(1))
|
||||
tva_amount = self._parse_decimal(tva_amount_str)
|
||||
if tva_amount and tva_amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': 19, # Standard rate, will be corrected by validation
|
||||
'amount': tva_amount
|
||||
})
|
||||
except (ValueError, InvalidOperation):
|
||||
pass
|
||||
|
||||
return entries
|
||||
|
||||
def extract_client_cui(self, text: str) -> Tuple[Optional[str], float]:
|
||||
"""
|
||||
Extract client CUI from OMV receipt.
|
||||
|
||||
OMV uses format: "CLIENT C.U. I./C.I.F.: RO1879855"
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
Tuple of (cui, confidence) or (None, 0.0)
|
||||
"""
|
||||
text_upper = text.upper()
|
||||
|
||||
# Check for OMV client markers
|
||||
has_client = any(
|
||||
re.search(marker, text_upper, re.IGNORECASE)
|
||||
for marker in self.CLIENT_MARKERS
|
||||
)
|
||||
|
||||
if not has_client:
|
||||
return (None, 0.0)
|
||||
|
||||
# Try OMV-specific patterns
|
||||
for pattern, confidence in self.CLIENT_CUI_PATTERNS:
|
||||
match = re.search(pattern, text_upper, re.IGNORECASE)
|
||||
if match:
|
||||
cui = match.group(1)
|
||||
# Clean up: remove RO prefix, spaces
|
||||
cui_digits = re.sub(r'[^0-9]', '', cui)
|
||||
if 6 <= len(cui_digits) <= 10:
|
||||
return (cui_digits, confidence)
|
||||
|
||||
return (None, 0.0)
|
||||
|
||||
def extract_payment_methods(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract OMV-specific payment methods.
|
||||
|
||||
OMV receipts use "CARTE CREDIT" instead of "CARD".
|
||||
Payment amount equals TOTAL for gas station receipts.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
List of payment methods with method, amount, and confidence
|
||||
"""
|
||||
payments = []
|
||||
text_upper = text.upper()
|
||||
|
||||
# Get total amount first
|
||||
total_amount, _ = self.extract_total(text)
|
||||
if not total_amount:
|
||||
return []
|
||||
|
||||
# OMV payment patterns
|
||||
payment_indicators = [
|
||||
('CARTE CREDIT', 'CARD', 0.98),
|
||||
('CARTE DE CREDIT', 'CARD', 0.98),
|
||||
('CARD', 'CARD', 0.95),
|
||||
('VISA', 'CARD', 0.95),
|
||||
('MASTERCARD', 'CARD', 0.95),
|
||||
('CONTACTLESS', 'CARD', 0.90),
|
||||
('NUMERAR', 'NUMERAR', 0.95),
|
||||
('CASH', 'NUMERAR', 0.90),
|
||||
]
|
||||
|
||||
for indicator, method, confidence in payment_indicators:
|
||||
if indicator in text_upper:
|
||||
payments.append({
|
||||
'method': method,
|
||||
'amount': total_amount,
|
||||
'confidence': confidence
|
||||
})
|
||||
return payments # OMV usually has single payment method
|
||||
|
||||
# Fallback: If no explicit payment but has BON FISCAL, assume CARD
|
||||
if 'BON FISCAL' in text_upper:
|
||||
payments.append({
|
||||
'method': 'CARD',
|
||||
'amount': total_amount,
|
||||
'confidence': 0.70
|
||||
})
|
||||
|
||||
return payments
|
||||
|
||||
def get_validation_hints(self) -> Dict[str, Any]:
|
||||
"""Return OMV-specific validation hints."""
|
||||
return {
|
||||
"has_multi_rate_tva": False,
|
||||
"card_equals_total": False,
|
||||
"card_equals_total": True, # Gas station: card equals total
|
||||
"has_client_cui": True,
|
||||
"has_efactura": False,
|
||||
"is_non_vat_payer": False,
|
||||
|
||||
@@ -100,11 +100,62 @@ class SocarProfile(BaseStoreProfile):
|
||||
|
||||
return entries
|
||||
|
||||
def extract_payment_methods(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract SOCAR-specific payment methods.
|
||||
|
||||
Gas stations use "CARTE CREDIT" or "CARD" for card payments.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
List of payment methods with method, amount, and confidence
|
||||
"""
|
||||
payments = []
|
||||
text_upper = text.upper()
|
||||
|
||||
# Get total amount first
|
||||
total_amount, _ = self.extract_total(text)
|
||||
if not total_amount:
|
||||
return []
|
||||
|
||||
# Gas station payment patterns
|
||||
payment_indicators = [
|
||||
('CARTE CREDIT', 'CARD', 0.98),
|
||||
('CARTE DE CREDIT', 'CARD', 0.98),
|
||||
('CARD', 'CARD', 0.95),
|
||||
('VISA', 'CARD', 0.95),
|
||||
('MASTERCARD', 'CARD', 0.95),
|
||||
('CONTACTLESS', 'CARD', 0.90),
|
||||
('NUMERAR', 'NUMERAR', 0.95),
|
||||
('CASH', 'NUMERAR', 0.90),
|
||||
]
|
||||
|
||||
for indicator, method, confidence in payment_indicators:
|
||||
if indicator in text_upper:
|
||||
payments.append({
|
||||
'method': method,
|
||||
'amount': total_amount,
|
||||
'confidence': confidence
|
||||
})
|
||||
return payments
|
||||
|
||||
# Fallback: If no explicit payment but has BON FISCAL, assume CARD
|
||||
if 'BON FISCAL' in text_upper:
|
||||
payments.append({
|
||||
'method': 'CARD',
|
||||
'amount': total_amount,
|
||||
'confidence': 0.70
|
||||
})
|
||||
|
||||
return payments
|
||||
|
||||
def get_validation_hints(self) -> Dict[str, Any]:
|
||||
"""Return SOCAR-specific validation hints."""
|
||||
return {
|
||||
"has_multi_rate_tva": False,
|
||||
"card_equals_total": False,
|
||||
"card_equals_total": True, # Gas station: card equals total
|
||||
"has_client_cui": True,
|
||||
"has_efactura": False,
|
||||
"is_non_vat_payer": False,
|
||||
|
||||
@@ -2,11 +2,17 @@
|
||||
STEPOUT MARKET SRL store profile for OCR extraction.
|
||||
|
||||
Bookstore with reduced TVA rate (5% for books in Romania).
|
||||
|
||||
Receipt structure:
|
||||
- TVA format: "5.00% TUA*B" with amount on next line
|
||||
- Total format: "SUMA TOTALA:" with amount on next line
|
||||
- Payment: "CARD" with amount on next line
|
||||
- Client CUI: "CIF CLIENT:XXXXXXX"
|
||||
"""
|
||||
|
||||
import re
|
||||
from decimal import Decimal, InvalidOperation
|
||||
from typing import List, Dict, Any
|
||||
from typing import List, Dict, Any, Tuple, Optional
|
||||
|
||||
from .base import BaseStoreProfile
|
||||
from . import ProfileRegistry
|
||||
@@ -19,33 +25,66 @@ class StepoutMarketProfile(BaseStoreProfile):
|
||||
|
||||
Key characteristics:
|
||||
- Reduced TVA rate: 5% for books (cărți qualification in Romania)
|
||||
- May also have standard rates for non-book items
|
||||
- Patterns are flexible to accept ANY TVA rate
|
||||
- TVA format: "X.XX% TUA*B" (OCR reads TVA as TUA)
|
||||
- Multiline format for amounts
|
||||
- CARD payment typical
|
||||
"""
|
||||
|
||||
CUI_LIST = ["35532655"]
|
||||
NAME_PATTERNS = ["STEPOUT", "STEPOUT MARKET", "STEP0UT", "STEPOUT MARKET SRL"]
|
||||
NAME_PATTERNS = ["STEPOUT", "STEPOUT MARKET", "STEP0UT", "STEPUUT", "STEPOUT MARKET SRL"]
|
||||
STORE_NAME = "STEPOUT MARKET SRL"
|
||||
|
||||
# TVA patterns (flexible - accepts any rate including 5%)
|
||||
# TVA patterns for Stepout (handles TUA OCR error and multiline)
|
||||
TVA_PATTERNS = [
|
||||
# "TVA A: 5% = YY,YY" or "TVA-A 5% YY,YY" (coded format)
|
||||
# "5.00% TUA*B" - OCR format with TUA
|
||||
r'(\d{1,2})[.,]\d{0,2}\s*%\s*T[UV]A\*?([A-D])',
|
||||
# "TVA A: 5% = YY,YY" or "TVA-A 5% YY,YY" (inline format)
|
||||
r'TVA\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "A - 5,00% = YY,YY" (table format)
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "TVA 5% YY,YY" (simple format - common for single rate)
|
||||
r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
|
||||
# "TVA 5,00%: YY,YY" (percent with colon)
|
||||
r'TVA\s+(\d{1,2})[.,]\d{2}\s*%\s*:?\s*([\d.,]+)',
|
||||
# "TOTAL TUA:" with amount on next line
|
||||
r'TOTAL\s+T[UV]A\s*:',
|
||||
]
|
||||
|
||||
# Total patterns for Stepout
|
||||
TOTAL_PATTERNS = [
|
||||
# "SUMA TOTALA:" with amount on next line
|
||||
(r'SUMA\s+TOTALA\s*:', 0.98),
|
||||
# "TOTAL:" fallback
|
||||
(r'TOTAL\s*:', 0.90),
|
||||
]
|
||||
|
||||
def extract_total(self, text: str) -> Tuple[Optional[Decimal], float]:
|
||||
"""
|
||||
Extract total amount from Stepout Market receipt.
|
||||
|
||||
Format: "SUMA TOTALA:" on one line, amount on next line.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
Tuple of (total_amount, confidence) or (None, 0.0)
|
||||
"""
|
||||
text_upper = text.upper()
|
||||
lines = text_upper.split('\n')
|
||||
|
||||
for pattern, confidence in self.TOTAL_PATTERNS:
|
||||
for i, line in enumerate(lines):
|
||||
if re.search(pattern, line, re.IGNORECASE):
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
return (amount, confidence)
|
||||
|
||||
# Fallback to base class
|
||||
return super().extract_total(text)
|
||||
|
||||
def extract_tva_entries(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract TVA entries from receipt text.
|
||||
Extract TVA entries from Stepout Market receipt.
|
||||
|
||||
Stepout Market primarily sells books which have 5% TVA in Romania.
|
||||
The patterns are generic and will extract whatever rate is on the receipt.
|
||||
Format: "5.00% TUA*B" on one line, amount on next line.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
@@ -54,59 +93,112 @@ class StepoutMarketProfile(BaseStoreProfile):
|
||||
List of TVA entries with code, percent, and amount
|
||||
"""
|
||||
entries = []
|
||||
seen = set()
|
||||
text_upper = text.upper()
|
||||
lines = text_upper.split('\n')
|
||||
|
||||
# Try coded patterns first (have code letter)
|
||||
for pattern in self.TVA_PATTERNS[:2]:
|
||||
for match in re.finditer(pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
code = match.group(1).upper()
|
||||
percent = int(match.group(2))
|
||||
amount = self._parse_decimal(match.group(3))
|
||||
# Try "X.XX% TUA*B" format first
|
||||
for i, line in enumerate(lines):
|
||||
match = re.search(r'(\d{1,2})[.,]\d{0,2}\s*%\s*T[UV]A\*?([A-D])', line)
|
||||
if match:
|
||||
percent = int(match.group(1))
|
||||
code = match.group(2)
|
||||
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entry_key = (code, percent)
|
||||
if entry_key not in seen:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
seen.add(entry_key)
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
return entries # Single rate store
|
||||
|
||||
# Fallback to simple format (no code letter, just percent + amount)
|
||||
if not entries:
|
||||
for pattern in self.TVA_PATTERNS[2:]:
|
||||
for match in re.finditer(pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
percent = int(match.group(1))
|
||||
amount = self._parse_decimal(match.group(2))
|
||||
|
||||
if amount and amount > 0:
|
||||
# Default to code 'A' for simple format
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
break # Only take first match for simple format
|
||||
except (ValueError, InvalidOperation):
|
||||
continue
|
||||
if entries:
|
||||
break
|
||||
# Try "TOTAL TUA:" format
|
||||
for i, line in enumerate(lines):
|
||||
if re.search(r'TOTAL\s+T[UV]A\s*:', line):
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'B', # Books are usually code B (5%)
|
||||
'percent': 5,
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
|
||||
return entries
|
||||
|
||||
def extract_payment_methods(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract payment methods from Stepout Market receipt.
|
||||
|
||||
Format: "CARD" on one line, amount on next line.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
List of payment methods with method, amount, and confidence
|
||||
"""
|
||||
payments = []
|
||||
text_upper = text.upper()
|
||||
lines = text_upper.split('\n')
|
||||
|
||||
# Find CARD or NUMERAR keyword
|
||||
for i, line in enumerate(lines):
|
||||
line_stripped = line.strip()
|
||||
if line_stripped == 'CARD':
|
||||
# Amount should be on next line
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
payments.append({
|
||||
'method': 'CARD',
|
||||
'amount': amount,
|
||||
'confidence': 0.95
|
||||
})
|
||||
return payments
|
||||
elif line_stripped == 'NUMERAR' or 'CASH' in line_stripped:
|
||||
if i + 1 < len(lines):
|
||||
amount_str = lines[i + 1].strip()
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
payments.append({
|
||||
'method': 'NUMERAR',
|
||||
'amount': amount,
|
||||
'confidence': 0.95
|
||||
})
|
||||
return payments
|
||||
|
||||
# Fallback: check for inline CARD amount
|
||||
for line in lines:
|
||||
match = re.search(r'CARD\s*:?\s*([\d.,]+)', line)
|
||||
if match:
|
||||
amount = self._parse_decimal(match.group(1))
|
||||
if amount and amount > 0:
|
||||
payments.append({
|
||||
'method': 'CARD',
|
||||
'amount': amount,
|
||||
'confidence': 0.90
|
||||
})
|
||||
return payments
|
||||
|
||||
return payments
|
||||
|
||||
def get_validation_hints(self) -> Dict[str, Any]:
|
||||
"""Return STEPOUT MARKET-specific validation hints."""
|
||||
return {
|
||||
"has_multi_rate_tva": False,
|
||||
"card_equals_total": True,
|
||||
"has_client_cui": True, # May have client CUI
|
||||
"has_client_cui": True,
|
||||
"has_efactura": False,
|
||||
"is_non_vat_payer": False,
|
||||
"typical_tva_rate": 5, # Books have 5% TVA in Romania
|
||||
"product_category": "books",
|
||||
"tva_on_separate_line": True,
|
||||
}
|
||||
|
||||
@@ -6,7 +6,7 @@ Key duplication service. Notable for CASH (NUMERAR) payments.
|
||||
|
||||
import re
|
||||
from decimal import Decimal, InvalidOperation
|
||||
from typing import List, Dict, Any
|
||||
from typing import List, Dict, Any, Optional, Tuple
|
||||
|
||||
from .base import BaseStoreProfile
|
||||
from . import ProfileRegistry
|
||||
@@ -22,26 +22,101 @@ class UnlimitedKeysProfile(BaseStoreProfile):
|
||||
- Key duplication service
|
||||
- NUMERAR (cash) payment common - different from most stores!
|
||||
- May also accept CARD
|
||||
- OCR often reads "TVA" as "TUA" - need OCR error variants
|
||||
"""
|
||||
|
||||
CUI_LIST = ["18993187"]
|
||||
NAME_PATTERNS = ["UNLIMITED KEYS", "UNLIMITED", "UNL1MITED", "UNLIMITED KEYS SRL"]
|
||||
STORE_NAME = "UNLIMITED KEYS S.R.L."
|
||||
|
||||
# Standard TVA patterns (flexible - accepts any rate)
|
||||
# Standard TVA patterns - including OCR error variants (TVA -> TUA)
|
||||
TVA_PATTERNS = [
|
||||
# "TVA A: XX% = YY,YY" or "TVA-A XX% YY,YY"
|
||||
r'TVA\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "TVA A: XX% = YY,YY" or "TVA-A XX% YY,YY" (including TUA OCR error)
|
||||
r'T[UV]A\s*[-:]?\s*([A-D])\s*:?\s*(\d{1,2})\s*%\s*[=:]?\s*([\d.,\s]+)',
|
||||
# "A - XX,XX% = YY,YY"
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,]+)',
|
||||
# "TVA XX% YY,YY" (simple format without code)
|
||||
r'TVA\s+(\d{1,2})\s*%\s*([\d.,]+)',
|
||||
r'([A-D])\s*[-:]\s*(\d{1,2})[.,]?\d{0,2}\s*%\s*[=:]?\s*([\d.,\s]+)',
|
||||
# "TVA XX% YY,YY" (simple format, includes TUA)
|
||||
r'T[UV]A\s+(\d{1,2})\s*%\s*([\d.,\s]+)',
|
||||
# "XX.XX% TUA*A YY.YY" (OCR format with TUA*A or TUA)
|
||||
r'(\d{1,2})[.,]\d{0,2}\s*%\s*T[UV]A\*?[A-D]?\s*([\d.,\s]+)',
|
||||
# "TOTAL TUA: YY.YY" (total TVA amount only)
|
||||
r'TOTAL\s+T[UV]A\s*:?\s*([\d.,\s]+)',
|
||||
]
|
||||
|
||||
# TOTAL patterns for UNLIMITED KEYS (handles "80 .00" format)
|
||||
TOTAL_PATTERNS = [
|
||||
# "SUMA TOTALA: 80 .00" (with space before decimal)
|
||||
(r'SUMA\s+TOTALA\s*:?\s*([\d\s.,]+)', 0.98),
|
||||
# "TOTALA: 80,00"
|
||||
(r'TOTALA\s*:?\s*([\d.,]+)', 0.95),
|
||||
# Standard TOTAL patterns from base class
|
||||
(r'TOTAL\s+(?:DE\s+PLATA|ACHITAT|LEI)\s*:?\s*([\d.,]+)', 0.95),
|
||||
(r'TOTAL\s*:?\s*([\d.,]+)', 0.90),
|
||||
]
|
||||
|
||||
# Payment patterns - NUMERAR is primary for this store
|
||||
PAYMENT_PATTERNS = [
|
||||
# "NUMERAR 80.00" or "NUMERAR: 80.00"
|
||||
(r'NUMERAR\s*:?\s*([\d.,\s]+)', 'NUMERAR', 0.98),
|
||||
# "CARD 80.00" or "CARD: 80.00"
|
||||
(r'CARD\s*:?\s*([\d.,\s]+)', 'CARD', 0.95),
|
||||
]
|
||||
|
||||
# Client CUI patterns - specific to this receipt format
|
||||
CLIENT_CUI_PATTERNS = [
|
||||
# "CIF CLIENT:1879855" (exact format from OCR)
|
||||
(r'CIF\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.99),
|
||||
# "CLIENT CIF: ROXXXXXXX"
|
||||
(r'CLIENT\s+CIF\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.98),
|
||||
# "C.I.F. CLIENT: XXXXXXX"
|
||||
(r'C\.?I\.?F\.?\s+CLIENT\s*:?\s*(R?[O0]?\s*\d{6,10})', 0.98),
|
||||
]
|
||||
|
||||
# Override client markers to be less strict
|
||||
CLIENT_MARKERS = [
|
||||
r'CIF\s+CLIENT',
|
||||
r'CLIENT\s+CIF',
|
||||
r'C\.?I\.?F\.?\s+CLIENT',
|
||||
r'CLIENT\s*:',
|
||||
]
|
||||
|
||||
def extract_total(self, text: str) -> Tuple[Optional[Decimal], float]:
|
||||
"""
|
||||
Extract total amount from receipt text.
|
||||
|
||||
Handles UNLIMITED KEYS format with space before decimal (e.g., "80 .00").
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
Tuple of (total_amount, confidence) or (None, 0.0)
|
||||
"""
|
||||
text_upper = text.upper()
|
||||
|
||||
for pattern, confidence in self.TOTAL_PATTERNS:
|
||||
match = re.search(pattern, text_upper, re.IGNORECASE)
|
||||
if match:
|
||||
try:
|
||||
# Clean up amount string (remove spaces, fix decimal)
|
||||
amount_str = match.group(1)
|
||||
# Remove spaces that might appear before decimal
|
||||
amount_str = re.sub(r'\s+', '', amount_str)
|
||||
amount = self._parse_decimal(amount_str)
|
||||
|
||||
if amount and amount > 0:
|
||||
return (amount, confidence)
|
||||
except (ValueError, InvalidOperation):
|
||||
continue
|
||||
|
||||
return (None, 0.0)
|
||||
|
||||
def extract_tva_entries(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract TVA entries from receipt text.
|
||||
|
||||
Handles OCR errors where TVA is read as TUA.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
@@ -49,48 +124,139 @@ class UnlimitedKeysProfile(BaseStoreProfile):
|
||||
List of TVA entries with code, percent, and amount
|
||||
"""
|
||||
entries = []
|
||||
seen = set()
|
||||
text_upper = text.upper()
|
||||
|
||||
# Try coded patterns first
|
||||
for pattern in self.TVA_PATTERNS[:2]:
|
||||
for match in re.finditer(pattern, text, re.IGNORECASE):
|
||||
# Pattern 4: "XX.XX% TUA*A YY.YY" - common OCR format
|
||||
pattern4 = self.TVA_PATTERNS[3]
|
||||
match = re.search(pattern4, text_upper)
|
||||
if match:
|
||||
try:
|
||||
percent = int(match.group(1))
|
||||
amount_str = re.sub(r'\s+', '', match.group(2))
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
pass
|
||||
|
||||
# Pattern 5: "TOTAL TUA: YY.YY" - fallback to total TVA
|
||||
pattern5 = self.TVA_PATTERNS[4]
|
||||
match = re.search(pattern5, text_upper)
|
||||
if match:
|
||||
try:
|
||||
amount_str = re.sub(r'\s+', '', match.group(1))
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
# Infer percent from amount vs total ratio
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'percent': 19, # Standard Romanian TVA rate
|
||||
'amount': amount
|
||||
})
|
||||
return entries
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
pass
|
||||
|
||||
# Try coded patterns
|
||||
for pattern in self.TVA_PATTERNS[:3]:
|
||||
for match in re.finditer(pattern, text_upper, re.IGNORECASE):
|
||||
try:
|
||||
code = match.group(1).upper()
|
||||
percent = int(match.group(2))
|
||||
amount = self._parse_decimal(match.group(3))
|
||||
|
||||
if amount and amount > 0:
|
||||
entry_key = (code, percent)
|
||||
if entry_key not in seen:
|
||||
entries.append({
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
seen.add(entry_key)
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
|
||||
# Fallback to simple format
|
||||
if not entries:
|
||||
simple_pattern = self.TVA_PATTERNS[2]
|
||||
for match in re.finditer(simple_pattern, text, re.IGNORECASE):
|
||||
try:
|
||||
percent = int(match.group(1))
|
||||
amount = self._parse_decimal(match.group(2))
|
||||
groups = match.groups()
|
||||
if len(groups) == 3:
|
||||
code = groups[0].upper()
|
||||
percent = int(groups[1])
|
||||
amount_str = re.sub(r'\s+', '', groups[2])
|
||||
else:
|
||||
code = 'A'
|
||||
percent = int(groups[0])
|
||||
amount_str = re.sub(r'\s+', '', groups[1])
|
||||
|
||||
amount = self._parse_decimal(amount_str)
|
||||
if amount and amount > 0:
|
||||
entries.append({
|
||||
'code': 'A',
|
||||
'code': code,
|
||||
'percent': percent,
|
||||
'amount': amount
|
||||
})
|
||||
break
|
||||
except (ValueError, InvalidOperation):
|
||||
return entries
|
||||
except (ValueError, InvalidOperation, IndexError):
|
||||
continue
|
||||
|
||||
return entries
|
||||
|
||||
def extract_payment_methods(self, text: str) -> List[dict]:
|
||||
"""
|
||||
Extract payment methods from receipt text.
|
||||
|
||||
Handles NUMERAR (cash) as primary payment for this store.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
List of payment methods with method, amount, and confidence
|
||||
"""
|
||||
payments = []
|
||||
text_upper = text.upper()
|
||||
|
||||
for pattern, method, confidence in self.PAYMENT_PATTERNS:
|
||||
match = re.search(pattern, text_upper, re.IGNORECASE)
|
||||
if match:
|
||||
try:
|
||||
amount_str = re.sub(r'\s+', '', match.group(1))
|
||||
amount = self._parse_decimal(amount_str)
|
||||
|
||||
if amount and amount > 0:
|
||||
payments.append({
|
||||
'method': method,
|
||||
'amount': amount,
|
||||
'confidence': confidence
|
||||
})
|
||||
except (ValueError, InvalidOperation):
|
||||
continue
|
||||
|
||||
return payments
|
||||
|
||||
def extract_client_cui(self, text: str) -> Tuple[Optional[str], float]:
|
||||
"""
|
||||
Extract client CUI from receipt text.
|
||||
|
||||
Handles "CIF CLIENT:1879855" format specific to this store.
|
||||
|
||||
Args:
|
||||
text: Raw OCR text from receipt
|
||||
|
||||
Returns:
|
||||
Tuple of (cui, confidence) or (None, 0.0)
|
||||
"""
|
||||
text_upper = text.upper()
|
||||
|
||||
# Check for client markers
|
||||
has_client = any(
|
||||
re.search(marker, text_upper, re.IGNORECASE)
|
||||
for marker in self.CLIENT_MARKERS
|
||||
)
|
||||
|
||||
if not has_client:
|
||||
return (None, 0.0)
|
||||
|
||||
# Try client CUI patterns
|
||||
for pattern, confidence in self.CLIENT_CUI_PATTERNS:
|
||||
match = re.search(pattern, text_upper, re.IGNORECASE)
|
||||
if match:
|
||||
cui = match.group(1)
|
||||
# Clean up: remove RO prefix, spaces
|
||||
cui_digits = re.sub(r'[^0-9]', '', cui)
|
||||
if 6 <= len(cui_digits) <= 10:
|
||||
return (cui_digits, confidence)
|
||||
|
||||
return (None, 0.0)
|
||||
|
||||
def get_validation_hints(self) -> Dict[str, Any]:
|
||||
"""Return UNLIMITED KEYS-specific validation hints."""
|
||||
return {
|
||||
|
||||
@@ -456,7 +456,9 @@ class ReceiptExtractor:
|
||||
# Lookup store-specific profile for enhanced extraction accuracy
|
||||
store_profile = ProfileRegistry.get_profile(result.cui) if result.cui else None
|
||||
if store_profile:
|
||||
print(f"[Profile] Using {store_profile.__class__.__name__} for CUI {result.cui}", flush=True)
|
||||
print(f"[Profile] ✅ Using {store_profile.STORE_NAME} ({store_profile.__class__.__name__}) for CUI {result.cui}", flush=True)
|
||||
else:
|
||||
print(f"[Profile] ⚠️ No profile found for CUI '{result.cui}' - using GENERIC extraction", flush=True)
|
||||
|
||||
# =========================================================================
|
||||
# STEP 2: Extract ALL fields using profile (if available) or generic
|
||||
@@ -490,8 +492,11 @@ class ReceiptExtractor:
|
||||
result.client_address = client_address
|
||||
result.confidence_client = confidence
|
||||
|
||||
# Log extraction results for debugging
|
||||
tva_summary = ", ".join([f"{e.get('percent', '?')}%={e.get('amount', '?')}" for e in result.tva_entries]) if result.tva_entries else "none"
|
||||
payment_summary = ", ".join([f"{p.get('method', '?')}={p.get('amount', '?')}" for p in result.payment_methods]) if result.payment_methods else "none"
|
||||
print(f"[Profile] Extracted: total={result.amount}, date={result.receipt_date}, "
|
||||
f"TVA entries={len(result.tva_entries)}, payments={len(result.payment_methods)}", flush=True)
|
||||
f"TVA=[{tva_summary}], payments=[{payment_summary}], client_cui={result.client_cui}", flush=True)
|
||||
else:
|
||||
# Generic extraction for unknown stores
|
||||
result.amount, result.confidence_amount = self._extract_amount(text_upper)
|
||||
@@ -507,6 +512,12 @@ class ReceiptExtractor:
|
||||
result.client_address = client_address
|
||||
result.confidence_client = confidence
|
||||
|
||||
# Log generic extraction results for debugging
|
||||
tva_summary = ", ".join([f"{e.get('percent', '?')}%={e.get('amount', '?')}" for e in result.tva_entries]) if result.tva_entries else "none"
|
||||
payment_summary = ", ".join([f"{p.get('method', '?')}={p.get('amount', '?')}" for p in result.payment_methods]) if result.payment_methods else "none"
|
||||
print(f"[Generic] Extracted: total={result.amount}, date={result.receipt_date}, "
|
||||
f"TVA=[{tva_summary}], payments=[{payment_summary}], client_cui={result.client_cui}", flush=True)
|
||||
|
||||
# Series extraction (no profile method, always generic)
|
||||
result.receipt_series, _ = self._extract_series(text_upper)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user