ixbrlparse 0.8.0

A python module for getting useful data out of ixbrl files.

ixbrl-parse

A python module for getting useful data out of ixbrl files. The library is at an early stage - feedback and improvements are very welcome.

Full documentation is available at ixbrl-parse.readthedocs.io

Changelog

Requirements

The module requires BeautifulSoup and lxml to parse the documents.

word2number is used to process the numeric items with the numsenwords format.

How to install

You can install from pypi using pip:

pip install ixbrlparse

How to use

You can run the module directly to extract data from an IXBRL file.

ixbrlparse example_file.html
# or
python -m ixbrlparse example_file.html

The various options for using this can be found through:

python -m ixbrlparse -h
# optional arguments:
#   -h, --help            show this help message and exit
#   --outfile OUTFILE     Where to output the file
#   --format {csv,json,jsonlines,jsonl}
#                         format of the output
#   --fields {numeric,nonnumeric,all}
#                         Which fields to output

You can also use as a python module (see the documentation for more details)

Development

The module is setup for development using hatch.

Run tests

Tests can be run with pytest:

hatch run test

Test coverage

Run tests then report on coverage

hatch run cov

Run tests then run a server showing where coverage is missing

hatch run cov-html

Run typing checks

hatch run lint:typing

Linting

Black and ruff should be run before committing any changes.

To check for any changes needed:

hatch run lint:style

To run any autoformatting possible:

hatch run lint:fmt

Run all checks at once

hatch run lint:all

Publish to pypi

hatch build
hatch publish
git tag v<VERSION_NUMBER>
git push origin v<VERSION_NUMBER>

Acknowledgements

Developed by David Kane of Kane Data Ltd

Originally developed for a project with Power to Change looking at how to extract data from financial documents of community businesses.

Thanks to the following users for their contributions:

• @avyfain
• @wcollinscw
• @ajmarks
• @adobrinevski