Code to convert hsbc qfx files to csv in the right format for money brilliant

converter.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+from csv import DictWriter
+from glob import glob
+from ofxparse import OfxParser
+
+DATE_FORMAT = "%d/%m/%Y"
+
+def write_csv(statement, out_file):
+    print("Writing: " + out_file)
+    fields = ['date', 'memo', 'category', 'amount', 'name']
+    with open(out_file, 'w') as f:
+        f.write("Date,Original Description,Category,Amount,Account Name")
+        f.write("\r\n")
+        writer = DictWriter(f, fieldnames=fields)
+        for line in statement:
+            writer.writerow(line)
+    
+    
+def get_statement_from_qfx(qfx):
+    balance = qfx.account.statement.balance
+
+    statement = []
+    credit_transactions = ['credit', 'dep', 'int']
+    debit_transactions  = ['debit', 'atm', 'pos', 'xfer', 'check']
+    for transaction in qfx.account.statement.transactions:
+        amount = ""
+        balance = balance + transaction.amount
+        
+        if transaction.payee.startswith("PENDING:"):
+            continue
+
+        line = {
+            'date': transaction.date.strftime(DATE_FORMAT),
+            'memo' : transaction.memo,
+            'category': 'Uncategorised',
+            'amount': transaction.amount,
+            'name': 'HSBC Everyday Global'
+        }
+        statement.append(line)
+    return statement
+    
+
+files = glob("*.qfx")
+for qfx_file in files:
+    qfx = OfxParser.parse(open(qfx_file, encoding="latin-1"), fail_fast=False)
+    statement = get_statement_from_qfx(qfx)
+    out_file = "converted_" + qfx_file.replace(".qfx",".csv")
+    write_csv(statement, out_file)