135 lines
4.5 KiB
Python
135 lines
4.5 KiB
Python
import csv
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import re
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from datetime import datetime, date
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from itertools import islice
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from typing import Any, Optional
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from beancount.core import data # type: ignore
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from beancount.core.amount import Amount # type: ignore
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from beancount.core.number import Decimal # type: ignore
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from beancount.ingest import cache, importer # type: ignore
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COL_DATE = "Date de comptabilisation"
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COL_LABEL = "Libelle simplifie"
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COL_DETAILED_LABEL = "Libelle operation"
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COL_DEBIT = "Debit"
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COL_CREDIT = "Credit"
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COL_DETAIL = "Informations complementaires"
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COL_DATE_OP = "Date operation"
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COL_CATEGORY = "Categorie"
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COL_SUBCATEGORY = "Sous categorie"
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END_DATE_REGEX = "Date de fin de téléchargement : ([0-3][0-9]/[0-1][0-9]/[0-9]{4})"
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START_DATE_REGEX = "Date de début de téléchargement : ([0-3][0-9]/[0-1][0-9]/[0-9]{4})"
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EXPECTED_HEADER = "Date de comptabilisation;Libelle simplifie;Libelle operation;Reference;Informations complementaires;Type operation;Categorie;Sous categorie;Debit;Credit;Date operation;Date de valeur;Pointage operation"
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def is_valid_header(header: str) -> bool:
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return header == EXPECTED_HEADER
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class CDEImporter(importer.ImporterProtocol):
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def __init__(self, account: str):
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self.account = account
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def identify(self, file: cache._FileMemo) -> bool:
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try:
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# NOTE: beancount.ingest.cache._FileMemo handles automatic encoding
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# detection
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lines: list[str] = file.head().splitlines()
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header: str = lines[0]
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return is_valid_header(header)
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except:
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return False
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def file_account(self, file: cache._FileMemo) -> Optional[str]:
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return self.account
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def file_name(self, file: cache._FileMemo) -> Optional[str]:
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return "CaisseEpargne_Statement.csv"
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def file_date(self, file: cache._FileMemo) -> Optional[date]:
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lines: list[str] = file.contents().splitlines()
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csv_reader: csv.DictReader = csv.DictReader(
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lines, delimiter=";", strict=True, quoting=csv.QUOTE_NONE
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)
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row: Optional[dict[str, str]] = next(csv_reader)
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if row is None:
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return None
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return datetime.strptime(row[COL_DATE], "%d/%m/%Y").date()
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def extract(self, file: cache._FileMemo, existing_entries=None) -> list[Any]:
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directives: list[Any] = []
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lines: list[str] = file.contents().splitlines()
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csv_reader = csv.DictReader(
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lines, delimiter=";", strict=True, quoting=csv.QUOTE_NONE
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)
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for index, row in enumerate(csv_reader):
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lineno: int = index + 2 # entries start at line 2
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meta = data.new_metadata(file.name, lineno)
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transaction_date: date = datetime.strptime(row[COL_DATE], "%d/%m/%Y").date()
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op_date: date = datetime.strptime(row[COL_DATE_OP], "%d/%m/%Y").date()
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category: str = row[COL_CATEGORY]
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subcategory: str = row[COL_SUBCATEGORY]
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label: str = row[COL_LABEL]
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detailed_label: str = row[COL_DETAILED_LABEL]
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debit: str = row[COL_DEBIT]
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credit: str = row[COL_CREDIT]
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detail: str = row[COL_DETAIL] if row[COL_DETAIL] else ""
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postings: list[data.Posting] = []
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if debit:
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amount = Decimal(debit.replace(",", "."))
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postings.append(
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data.Posting(
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self.account,
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Amount(amount, "EUR"),
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None,
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None,
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None,
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None,
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)
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)
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if credit:
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amount = Decimal(credit.replace(",", "."))
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postings.append(
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data.Posting(
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self.account,
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Amount(amount, "EUR"),
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None,
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None,
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None,
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None,
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)
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)
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meta["op_date"] = op_date
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meta["ce_category"] = f"{category} - {subcategory}"
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meta["detailed_label"] = detailed_label
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directives.append(
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data.Transaction(
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meta,
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transaction_date,
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self.FLAG,
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label,
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detail,
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data.EMPTY_SET,
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data.EMPTY_SET,
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postings,
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)
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)
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return directives
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