Fix Indian Bank extraction and add shared multi-format dates for all banks

app/modules/bank_statement_analyzer/parsers/kotak.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 import re, pandas as pd
 from pathlib import Path
 from .base import *
-from .common import find
+from .common import DATE_TOKEN_PATTERN, date_iso, find
 
 class KotakParser(BaseParser):
     bank_name='Kotak Mahindra Bank'; parser_name='KotakParser'
@@ -13,10 +13,10 @@ class KotakParser(BaseParser):
         text=text or extract_text(path); meta=StatementMeta(bank_name=self.bank_name,source_file=Path(path).name,parser_name=self.parser_name,confidence='High')
         meta.account_number=find(r'Account\s*#\s*Variant\s*KOTAK\s*\n.*?([0-9X*]{6,})',text,flags=re.I|re.S)
         meta.ifsc=find(r'IFSC\s+([A-Z0-9]+)',text)
-        m=re.search(r'(\d{2}\s+[A-Za-z]{3},\s*\d{4})\s*-\s*(\d{2}\s+[A-Za-z]{3},\s*\d{4})',text)
+        m=re.search(rf'({DATE_TOKEN_PATTERN})\s*-\s*({DATE_TOKEN_PATTERN})', text, re.I)
         if m:
-            meta.period_from=pd.to_datetime(m.group(1),dayfirst=True).strftime('%Y-%m-%d'); meta.period_to=pd.to_datetime(m.group(2),dayfirst=True).strftime('%Y-%m-%d')
-        date_re=re.compile(r'^\s*(\d{2}\s+[A-Za-z]{3},\s*\d{4})\s+(.*)$')
+            meta.period_from=date_iso(m.group(1)); meta.period_to=date_iso(m.group(2))
+        date_re=re.compile(rf'^\s*({DATE_TOKEN_PATTERN})\s+(.*)$', re.I)
         rows=[]; cur=None; page=1
         for line in text.splitlines():
             if '\f' in line: page+=line.count('\f')