paypal.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import absolute_import, print_function\n",
    "from IPython.core.debugger import Pdb\n",
    "from IPython.core.debugger import set_trace\n",
    "import datetime\n",
    "import itertools as it\n",
    "from meza.io import read_csv, IterStringIO\n",
    "from meza import io, process, convert\n",
    "from csv2ofx import utils\n",
    "from csv2ofx.ofx import OFX\n",
    "from operator import itemgetter\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_file = '/Users/jfinlays/Downloads/Download.csv'\n",
    "# Date\t\n",
    "# Native Amount\t\n",
    "# Native Currency\t\n",
    "# Billed Amount\t\n",
    "# Billed Currency\n",
    "# Has Folio\t\n",
    "# Merchant\t\n",
    "# City\t\n",
    "# Card Type\t\n",
    "# Personal Card\t\n",
    "# Card Account\n",
    "i = 0\n",
    "N26mapping = {\n",
    "     'has_header': True, \n",
    "     'is_split': False, \n",
    "     'bank': 'Bank', \n",
    "     'delimiter': ',',\n",
    "     'date': itemgetter('Date'),\n",
    "     'currency': itemgetter('Type Foreign Currency'),\n",
    "     'account': 'N26 Auto Import', \n",
    "     'amount': lambda tr: tr['Amount (Foreign Currency)'] or tr['Amount (EUR)'], \n",
    "     'desc': lambda tr: 'EUR charged:' + tr['Amount (EUR)'], \n",
    "     'notes': lambda tr: 'EUR charged:' + tr['Amount (EUR)'], \n",
    "     'payee': itemgetter('Payee'), \n",
    "     'class': itemgetter('Category'),\n",
    "     'id': itemgetter('Date')\n",
    "}\n",
    "\n",
    "paypal_mapping = {\n",
    "     'has_header': True, \n",
    "     'is_split': False, \n",
    "     'bank': 'Bank', \n",
    "     'delimiter': ',',\n",
    "     'date': itemgetter('Date'),\n",
    "     'currency': 'EUR',\n",
    "     'account': 'Paypal Auto Import', \n",
    "     'amount': itemgetter('Gross'), \n",
    "     'payee': itemgetter('Name'), \n",
    "     'class': 'Taxi / Bus',\n",
    "     'id': itemgetter('Date')\n",
    "}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ofx = OFX(paypal_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Date': '31/12/2017', ' Time Zone': 'PST', ' Name': 'Intelligent Apps GmbH', ' Type': 'Preapproved Payment Sent', ' Status': 'Completed', ' Currency': 'EUR', ' Gross': '53'}\n",
      "[31, 12, 2017]\n"
     ]
    }
   ],
   "source": [
    "records = read_csv(csv_file)\n",
    "\n",
    "records_with_better_date = list()\n",
    "for record in list(records):\n",
    "    print (record)\n",
    "    dateClone = list(map(lambda x: int(x), record['Date'].split('/')))\n",
    "    print(dateClone)\n",
    "    dateInstance = datetime.date(month=dateClone[1], day=dateClone[0], year=dateClone[2])\n",
    "    americanDate = '/'.join(map(lambda x: str(x), [dateInstance.month, dateInstance.day, dateInstance.year]))\n",
    "    record['Date'] = americanDate\n",
    "    records_with_better_date.append(record)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print (records_with_better_date)\n",
    "\n",
    "# for record in records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "groups = ofx.gen_groups(records)\n",
    "trxns = ofx.gen_trxns(groups)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_trxns = ofx.clean_trxns(trxns)\n",
    "data = utils.gen_data(cleaned_trxns)\n",
    "\n",
    "content = it.chain([ofx.header(), ofx.gen_body(data), ofx.footer()])\n",
    "\n",
    "\n",
    "for r in  ofx.gen_body(data): \n",
    "    print (r)\n",
    "    \n",
    "lines = list(IterStringIO(content))\n",
    "\n",
    "with open('out.ofx', \"wb\" ) as file:\n",
    "    file.writelines(lines)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "    "
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   "cell_type": "code",
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