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>

backend/modules/data_entry/services/ocr/profiles/socar.py

@@ -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,