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

app/modules/bank_statement_analyzer/parsers/axis.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, find_date_tokens
 
 class AxisParser(BaseParser):
     bank_name='Axis Bank'; parser_name='AxisParser'
@@ -14,10 +14,10 @@ class AxisParser(BaseParser):
         m=re.search(r'Smart Statement Report\s*\n\s*([^\n]+)',text,re.I); meta.customer_name=norm(m.group(1)) if m else ''
         meta.account_number=find(r'Statement of Account No\s*-\s*([^\s]*)',text)
         meta.ifsc=find(r'IFSC:\s*([A-Z0-9]+)',text)
-        m=re.search(r'for period\s*\((\d{2}/\d{2}/\d{4})\s+to\s+(\d{2}/\d{2}/\d{4})\)',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')
+        m=re.search(rf'for period\s*\(({DATE_TOKEN_PATTERN})\s+to\s+({DATE_TOKEN_PATTERN})\)', text, re.I)
+        if m: meta.period_from=date_iso(m.group(1)); meta.period_to=date_iso(m.group(2))
         meta.opening_balance=amount(find(r'Opening Balance:\s*INR\s*([\d,]+\.\d{2})',text))
-        pat=re.compile(r'^\s*(\d+)\s+(\d{2}/\d{2}/\d{4})\s+(\d{2}/\d{2}/\d{4})\s+(.*)$')
+        pat=re.compile(rf'^\s*(\d+)\s+({DATE_TOKEN_PATTERN})\s+({DATE_TOKEN_PATTERN})\s+(.*)$', re.I)
         rows=[]; cur=None; page=1
         for line in text.splitlines():
             if '\f' in line: page+=line.count('\f')