tddc 0.1.1

Usage:

This works on Linux with Python 2.7, 3.3, 3.4 and 3.5, and on OSX with Python 2.7 and 3.5 (and probably 3.3 and 3.4, but those haven’t been tested). It works on Windows (tested using Python 3.5.2 :: Anaconda 4.1.1 (64-bit)). Integration with Trello on Windows using tddc is yet to be tested though.

Install the package with: $ pip install tddc

You can download a tiny example CSV file at: https://github.com/DataKind-SG/test-driven-data-cleaning/raw/master/input/foobar_data.csv

In the same directory as the file, run:

$ tddc summarize foobar_data.csv

This takes the csv data set and summarizes it, outputing to a json file in a newly created output/ directory.

Next, you can run:

$ tddc build_trello foobar_data.csv

The first time you run this, it will fail and give you instructions on how to create a Trello configuration file in your root directory (in future, this should probably be created through the CLI). Once you create it, you can try to run that step again. This will create a Trello board. The one my run created is here: https://trello.com/b/cqP9VZal/data-cleaning-board-for-foobar-data

Finally, you can run:

$ tddc build foobar_data.csv

This outputs a script into the output/ folder that contains method stubs and glue code to clean the data set. It also outputs stubs for tests in output/.