Csv To Iif Converter -

transactions[txn_id].append(txn) return transactions

import csv import re from datetime import datetime from collections import defaultdict def parse_csv_to_transactions(csv_file, mapping): transactions = defaultdict(list) with open(csv_file, 'r', encoding='utf-8') as f: reader = csv.DictReader(f) for row in reader: txn_id = row[mapping['group_key']] txn = 'date': reformat_date(row[mapping['date_col']]), 'memo': row[mapping['memo_col']], 'amount': float(row[mapping['amount_col']]), 'account': row[mapping['account_col']] csv to iif converter

"csv_columns": ["Date", "Description", "Amount", "Account"], "iif_targets": "DATE": "Date", "MEMO": "Description", "AMOUNT": "Amount", "ACCNT": "Account" , "transaction_group_key": ["Date", "Reference"] transactions[txn_id]