csv2ofx is a Python library and command line interface program that converts CSV files to OFX and QIF files for importing into GnuCash or similar financial accounting programs. csv2ofx has built in support for importing csv files from mint, yoodlee, and xero. csv2ofx has been tested on the following configuration:

• MacOS X 10.13.1
• Python 3.6.4

csv2ofx requires the following programs in order to run properly:

• Python >= 2.7, 3.5 (MacOS X comes with python preinstalled)

(You are using a virtualenv, right?)

sudo pip install csv2ofx

csv2ofx is intended to be used either directly from Python or from the command line.

normal OFX usage

from __future__ import absolute_import, print_function

import itertools as it

from meza.io import read_csv, IterStringIO
from csv2ofx import utils
from csv2ofx.ofx import OFX
from csv2ofx.mappings.default import mapping

ofx = OFX(mapping)
records = read_csv('path/to/file.csv')
groups = ofx.gen_groups(records)
trxns = ofx.gen_trxns(groups)
cleaned_trxns = ofx.clean_trxns(trxns)
data = utils.gen_data(cleaned_trxns)
content = it.chain([ofx.header(), ofx.gen_body(data), ofx.footer()])

for line in IterStringIO(content):
    print(line)

normal QIF usage

from __future__ import absolute_import, print_function

import itertools as it

from tabutils.io import read_csv, IterStringIO
from csv2ofx import utils
from csv2ofx.qif import QIF
from csv2ofx.mappings.default import mapping

qif = QIF(mapping)
records = read_csv('path/to/file.csv')
groups = qif.gen_groups(records)
trxns = qif.gen_trxns(groups)
cleaned_trxns = qif.clean_trxns(trxns)
data = utils.gen_data(cleaned_trxns)
content = it.chain([qif.gen_body(data), qif.footer()])

for line in IterStringIO(content):
    print(line)

show help

csv2ofx -h

usage: csv2ofx [options] <source> <dest>

description: csv2ofx converts a csv file to ofx and qif

positional arguments:
  source                the source csv file (defaults to stdin)
  dest                  the output file (defaults to stdout)

optional arguments:
  -h, --help            show this help message and exit
  -a TYPE, --account TYPE
                        default account type 'CHECKING' for OFX and 'Bank' for QIF.
  -e DATE, --end DATE   end date
  -l LANGUAGE, --language LANGUAGE
                        the language
  -s DATE, --start DATE
                        the start date
  -m MAPPING, --mapping MAPPING
                        the account mapping
  -c FIELD_NAME, --collapse FIELD_NAME
                        field used to combine transactions within a split for double entry statements
  -S FIELD_NAME, --split FIELD_NAME
                        field used for the split account for single entry statements
  -C ROWS, --chunksize ROWS
                        number of rows to process at a time
  -V, --version         show version and exit
  -q, --qif             enables 'QIF' output instead of 'OFX'
  -o, --overwrite       overwrite destination file if it exists
  -d, --debug           display the options and arguments passed to the parser
  -v, --verbose         verbose output

normal usage

csv2ofx file.csv file.ofx

print output to stdout

csv2ofx ~/Downloads/transactions.csv

read input from stdin

cat file.csv | csv2ofx

qif output

csv2ofx -q file.csv

specify date range from one year ago to yesterday with qif output

csv2ofx -s '-1 year' -e yesterday -q file.csv

use yoodlee settings

csv2ofx -m yoodlee file.csv

If you would like to import csv files with field names different from the default, you can modify the mapping file or create your own. New mappings must be placed in the csv2ofx/mappings folder. The mapping object consists of a dictionary whose keys are OFX/QIF attributes and whose values are functions which should return the corresponding value from a record (csv row). The mapping function will take in a record, e.g.,

{'Account': 'savings 2', 'Date': '1/3/15', 'Amount': '5,000'}

The most basic mapping function just returns a specific field or value, e.g.,

from operator import itemgetter

mapping = {
    'bank': 'BetterBank',
    'account': itemgetter('account_num'),
    'date': itemgetter('trx_date'),
    'amount': itemgetter('trx_amount')}

But more complex parsing is also possible, e.g.,

mapping = {
    'account': lambda r: r['details'].split(':')[0],
    'date': lambda r: '%s/%s/%s' % (r['month'], r['day'], r['year']),
    'amount': lambda r: r['amount'] * 2}

csv2ofx comes with a built in task manager manage.py.

pip install -r dev-requirements.txt

Run python linter and nose tests

manage lint
manage test

Please mimic the coding style/conventions used in this repo. If you add new classes or functions, please add the appropriate doc blocks with examples. Also, make sure the python linter and nose tests pass.

Ready to contribute? Here's how:

1. Fork and clone.

git clone [email protected]:<your_username>/csv2ofx.git
cd csv2ofx

2. Setup a new virtualenv

mkvirtualenv --no-site-packages csv2ofx
activate csv2ofx
python setup.py develop
pip install -r dev-requirements.txt

3. Create a branch for local development

git checkout -b name-of-your-bugfix-or-feature

4. Make your changes, run linter and tests (see above), and submit a pull request through the GitHub website.

How to contribute a mapping:

1. Add the mapping in csv2ofx/mappings/
2. Add a simple example CSV file in data/test/.
3. Add the OFX or QIF file that results from the mapping and example CSV file in data/converted/.
4. Add a csv2ofx call for your mapping to the tests in tests/test.py, in PRE_TESTS. If you added an OFX (not QIF) converted file, pay attention to the -e (end date) and -D (server date) arguments in the test- otherwise tests may pass on your workstation and fail on the build server.
5. Ensure your test succeeds (see above).

csv2ofx is distributed under the MIT License, the same as meza.