A R R R Associates
54 lines
3.0 KiB
Python
54 lines
3.0 KiB
Python
from __future__ import annotations
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import re, pandas as pd
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from pathlib import Path
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from .base import *
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from .common import DATE_TOKEN_PATTERN, date_iso, find
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class IndusIndParser(BaseParser):
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bank_name='IndusInd Bank'; parser_name='IndusIndParser'
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@classmethod
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def detect(cls,text): return 0.98 if 'INDUSIND' in text.upper() and 'STATEMENT OF ACCOUNT' in text.upper() else 0
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def parse(self,path,text=None):
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text=text or extract_text(path); meta=StatementMeta(bank_name=self.bank_name,source_file=Path(path).name,parser_name=self.parser_name,confidence='Medium')
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meta.account_number=find(r'Account Number\s*:\s*([0-9X*]+)',text)
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meta.customer_id=find(r'Cust\.Reln\.No\s*:\s*([0-9X*]+)',text)
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meta.ifsc=find(r'IFSC Code\s*:\s*([A-Z0-9]+)',text)
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m=re.search(rf'Period\s*:\s*({DATE_TOKEN_PATTERN})\s*(?:to|-)\s*({DATE_TOKEN_PATTERN})', text, re.I)
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if m:
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meta.period_from=date_iso(m.group(1)); meta.period_to=date_iso(m.group(2))
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meta.total_debit=amount(find(r'Total Withdrawal Amount\s*:\s*([\d,]+\.\d{2})',text))
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meta.total_credit=amount(find(r'Total Deposit Amount\s*:\s*([\d,]+\.\d{2})',text))
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# rows start with date and often end with amount Dr/Cr and balance Cr
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date_re=re.compile(rf'^\s*({DATE_TOKEN_PATTERN})\s+(.*)$', re.I)
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rows=[]; cur=None; page=1
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for line in text.splitlines():
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if '\f' in line: page+=line.count('\f')
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m=date_re.match(line)
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if m:
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if cur: rows.append(cur)
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cur={'transaction_date':m.group(1),'value_date':m.group(1),'lines':[m.group(2)],'source_page':page}
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elif cur and line.strip() and not re.match(r'^(Statement Summary|Opening Balance|Total Withdrawal|Branch Address|The limits)',line.strip(),re.I): cur['lines'].append(line)
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if cur: rows.append(cur)
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out=[]; prev=None
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for r in rows:
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first=r['lines'][0]; alltxt=norm(' '.join(r['lines']))
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# Typical: narration ref debit Dr credit Cr balance Cr
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tokens=list(re.finditer(r'([\d,]+\.\d{2})\s*(Dr|Cr)',first,re.I))
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if not tokens: continue
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debit=credit=bal=None
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if len(tokens)>=2:
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bal=amount(tokens[-1].group(1))
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txn=amount(tokens[-2].group(1)); typ=tokens[-2].group(2).upper()
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if typ=='DR': debit=txn
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else: credit=txn
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elif len(tokens)==1:
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# carried forward / balance-only line; skip
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continue
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narr=first[:tokens[-2].start()].strip()+' '+' '.join(x.strip() for x in r['lines'][1:])
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ref=''; z=re.search(r'\b([A-Z0-9]{8,})\b',narr); ref=z.group(1) if z else ''
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out.append({**r,'narration':norm(narr),'reference_no':ref,'debit':debit,'credit':credit,'balance':bal})
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if out:
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f=out[0]; meta.opening_balance=round((f['balance'] or 0)+(f.get('debit') or 0)-(f.get('credit') or 0),2)
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meta.closing_balance=out[-1]['balance']
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return meta,finalize(pd.DataFrame(out),meta)
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