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Fix Indian Bank statement detection and extraction

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A R R R Associates
2026-07-13 10:30:58 +05:30
parent 92d412de72
commit 5225d11d3a
1 changed files with 14 additions and 3 deletions
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app/modules/bank_statement_analyzer/parsers/indian_bank.py
+14 -3
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@@ -8,11 +8,22 @@ class IndianBankModernParser(BaseParser):
bank_name='Indian Bank'; parser_name='IndianBankModernParser' bank_name='Indian Bank'; parser_name='IndianBankModernParser'
@classmethod @classmethod
def detect(cls,text): def detect(cls,text):
u=text.upper(); return 0.98 if 'ACCOUNT STATEMENT' in u and 'TRANSACTION DETAILS' in u and 'TOTAL CREDITS' in u else 0 # pdfplumber's layout mode can insert multiple spaces inside headings
# (for example, 'ACCOUNT STATEMENT'). Normalize whitespace before
# matching so the same bank PDF is detected whether pdftotext is
# installed in the runtime image or the pdfplumber fallback is used.
u=norm(text).upper()
return 0.98 if 'ACCOUNT STATEMENT' in u and 'TRANSACTION DETAILS' in u and 'TOTAL CREDITS' in u else 0
def parse(self,path,text=None): def parse(self,path,text=None):
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') 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.customer_name=find(r'Account Holder Name\s*\n\s*([^\n]+)',text) # Some Indian Bank statements leave these values blank. Do not let a
meta.account_number=find(r'Account Number\s*\n?\s*([0-9X*]+)',text) # value from the adjacent ACCOUNT SUMMARY column become the customer
# name merely because PDF text extraction merges the two columns.
customer=find(r'Account Holder Name[ \t]*([^\n]*)',text)
customer=norm(customer)
if customer and not re.search(r'^(Opening Balance|Account Type|Account Number|Customer)',customer,re.I):
meta.customer_name=customer
meta.account_number=find(r'Account Number[ \t]*([0-9X*]{4,})',text)
m=re.search(r'For period:\s*(\d{2}\s+[A-Za-z]{3}\s+\d{4})\s*-\s*(\d{2}\s+[A-Za-z]{3}\s+\d{4})',text,re.I) m=re.search(r'For period:\s*(\d{2}\s+[A-Za-z]{3}\s+\d{4})\s*-\s*(\d{2}\s+[A-Za-z]{3}\s+\d{4})',text,re.I)
if m: 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') 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')