Checklists for Contributing to VisiData

Submitting a Core Loader

A deeper explanation of all of these steps can be found in the loaders api documentation.

Create an open_foo function that returns the new FooSheet.
Set an appropriate rowtype string.
Provide a # rowdef: comment. This describes the structure of a row (e.g. its base class) in a Sheet.
If the loader's dependencies are not part of Python3 stdlib, note the additional dependencies in the requirements.txt (include a comment adjacent to the dep with the name of the loader).
Check in a small sample dataset, in that format, to the sample_data folder
Add a load-foo.vd to tests/. load-foo.vd should simply open the checked-in sample dataset and have a simple interaction if the source includes multiple tables.
After replaying vd load-foo.vd, save the final sheet as load-foo.tsv. Save load-foo.tsv in tests/golden/.
add a section on the loader to the formats.jsonl.

A deeper explanation of all of this framework can be found in the plugins api documentation.

Host a single Python file containing all of the plugin's code.
In the https://github.com/visidata/dlc/blob/stable/plugins.jsonl file in the visidata:dlc repo, add a row for each plugin with all of the necessary information.