fix(address+ui): remove TIER 2 reuse, typed diff badges, false positive reduction

- Remove TIER 2 address lookup (county+city without street) from PL/SQL — creates
  new address when street differs instead of reusing wrong one
- Replace generic "N diferente" badge with typed micro-badges (CUI, Denumire, TVA,
  Adr. livr., Adr. fact., Preturi) with red/amber semantic colors
- Extend addrMatch() regex to strip full Romanian address words (STRADA, NUMAR, BLOC,
  COMUNA, SAT, MUNICIPIUL, etc.) — fixes "Strada X" vs "X" false positives
- Extend normalize_company_name() for II, PFA, INTREPRINDERE INDIVIDUALA legal forms
- Persist address_mismatch to SQLite so "Dif." filter includes address-only diffs
- Add red/amber indicator dots to desktop table and mobile list rows
- 12 unit tests for normalization and server-side address matching

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

api/app/services/anaf_service.py

@@ -183,8 +183,10 @@ def normalize_company_name(name: str) -> str:
     result = name.strip().upper()
     # Strip diacritics
     result = result.translate(_DIACRITICS)
-    # Remove common suffixes
-    result = re.sub(r'\b(S\.?R\.?L\.?|S\.?A\.?|S\.?C\.?|S\.?N\.?C\.?|S\.?C\.?S\.?)\b', '', result)
+    # Remove common suffixes and legal forms
+    result = re.sub(r'\b(S\.?R\.?L\.?|S\.?A\.?|S\.?C\.?|S\.?N\.?C\.?|S\.?C\.?S\.?|P\.?F\.?A\.?|INTREPRINDERE\s+INDIVIDUALA)\b', '', result)
+    # Strip II only at start of name (avoid matching Roman numeral II in "TEHNICA II SRL")
+    result = re.sub(r'^I\.?I\.?\s+', '', result)
     # Remove punctuation and extra spaces
     result = re.sub(r'[^\w\s]', '', result)
     result = re.sub(r'\s+', ' ', result).strip()