A R R R Associates
121 lines
3.9 KiB
Python
121 lines
3.9 KiB
Python
from __future__ import annotations
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from .idfc import IDFCFirstParser
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from .axis import AxisParser
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from .hdfc import HDFCParser
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from .icici import ICICIParser
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from .hsbc import HSBCParser
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from .indian_bank import IndianBankModernParser, IndianBankLegacyParser
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from .indusind import IndusIndParser
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from .kotak import KotakParser
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from .sbi import SBIAccountSummaryParser, SBIModernParser, SBIOtherParser
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from .central_bank_of_india import CentralBankOfIndiaParser
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from .yes_bank import YesBankParser
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from .city_union_bank import CityUnionBankParser
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from .bank_of_baroda import BankOfBarodaParser
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from .rbl_bank import RBLBankParser
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from .base import extract_text
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PARSERS = [
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IDFCFirstParser,
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AxisParser,
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CentralBankOfIndiaParser,
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YesBankParser,
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CityUnionBankParser,
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BankOfBarodaParser,
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RBLBankParser,
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HDFCParser,
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ICICIParser,
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HSBCParser,
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IndianBankModernParser,
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IndianBankLegacyParser,
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IndusIndParser,
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KotakParser,
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SBIAccountSummaryParser,
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SBIOtherParser,
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SBIModernParser,
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]
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BANK_OPTIONS = [
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("auto", "Auto Detect"),
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("axis", "Axis Bank"),
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("central_bank_of_india", "Central Bank of India"),
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("yes_bank", "YES Bank"),
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("city_union_bank", "City Union Bank"),
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("bank_of_baroda", "Bank of Baroda"),
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("rbl_bank", "RBL Bank"),
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("hdfc", "HDFC Bank"),
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("icici", "ICICI Bank"),
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("hsbc", "HSBC Bank"),
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("idfc", "IDFC FIRST Bank"),
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("indian_bank", "Indian Bank"),
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("indusind", "IndusInd Bank"),
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("kotak", "Kotak Mahindra Bank"),
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("sbi", "State Bank of India"),
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]
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BANK_PARSERS = {
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"axis": [AxisParser],
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"central_bank_of_india": [CentralBankOfIndiaParser],
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"yes_bank": [YesBankParser],
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"city_union_bank": [CityUnionBankParser],
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"bank_of_baroda": [BankOfBarodaParser],
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"rbl_bank": [RBLBankParser],
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"hdfc": [HDFCParser],
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"icici": [ICICIParser],
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"hsbc": [HSBCParser],
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"idfc": [IDFCFirstParser],
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"indian_bank": [IndianBankModernParser, IndianBankLegacyParser],
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"indusind": [IndusIndParser],
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"kotak": [KotakParser],
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"sbi": [SBIAccountSummaryParser, SBIOtherParser, SBIModernParser],
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}
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def detect_parser(text):
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scored = sorted(((parser.detect(text), parser) for parser in PARSERS), key=lambda item: item[0], reverse=True)
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if not scored or scored[0][0] <= 0:
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return None, 0
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return scored[0][1](), scored[0][0]
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def _selected_parser(bank_key: str, text: str):
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candidates = BANK_PARSERS.get(bank_key, [])
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if not candidates:
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return None, 0
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scored = sorted(((parser.detect(text), parser) for parser in candidates), key=lambda item: item[0], reverse=True)
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if scored and scored[0][0] > 0:
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return scored[0][1](), scored[0][0]
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return None, 0
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def parse_pdf(path, bank_hint: str | None = None):
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hint = (bank_hint or "auto").strip().lower()
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if hint == "hsbc":
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return HSBCParser().parse(path, "")
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text = extract_text(path)
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if hint and hint != "auto":
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parser, score = _selected_parser(hint, text)
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if parser is None:
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label = dict(BANK_OPTIONS).get(hint, "the selected bank")
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raise ValueError(
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f"The uploaded statement does not match the selected {label} format. "
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"Please verify the selected bank or choose Auto Detect."
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)
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return parser.parse(path, text)
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parser, score = detect_parser(text)
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if parser is None and not (text or "").strip():
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# Image-only statements cannot be identified by pdftotext. HSBCParser
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# performs its own OCR identification and raises a precise mismatch error.
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try:
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return HSBCParser().parse(path, text)
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except ValueError:
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pass
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if parser is None:
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raise ValueError(
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"Unsupported statement format. Select the bank manually or add a bank-specific parser for this statement layout."
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)
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return parser.parse(path, text)
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