https://github.com/rixx/stepmania-to-sqlite

https://github.com/rixx/stepmania-to-sqlite

Last synced: 5 days ago
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• Host: GitHub
• URL: https://github.com/rixx/stepmania-to-sqlite
• Owner: rixx
• License: other
• Created: 2020-05-19T12:35:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-16T16:27:08.000Z (about 4 years ago)
• Last Synced: 2024-10-30T12:23:53.093Z (16 days ago)
• Language: Python
• Size: 12.7 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# stepmania-to-sqlite

[![PyPI](https://img.shields.io/pypi/v/stepmania-to-sqlite.svg)](https://pypi.org/project/stepmania-to-sqlite/)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/rixx/stepmania-to-sqlite/blob/master/LICENSE)

Put stats about your stepmania library into a SQLite database. Will export all songs with data about their groups,

difficulty levels, durations, bpms, etc. Particularly useful if you use the database with

[datasette](https://datasette.readthedocs.io/).

Please note that under Windows, no song durations will be calculated, and Windows support is generally tenuous. I'm

happy to merge PRs for this issue (or any other).

## How to install

    $ pip install stepmania-to-sqlite

Add the `-U` flag to update. Change notes can be found in the ``CHANGELOG`` file, next to this README.

## Importing data

Run the tool with the path to your database - if it doesn't exist yet, it will be created:

    $ stepmania-to-sqlite songs.db

If your library is not located in a directory like ``~/.stepmania*``, you can pass the library path with the -l flag:

    $ stepmania-to-sqlite songs.db -l /path/to/library

    

## Limitations

- Steps are not included, only pre-processed step counts per difficulty.

- Currently, only .sm files are parsed, not the newer .ssc files.

## Thanks

This package is heavily inspired by [github-to-sqlite](https://github.com/dogsheep/github-to-sqlite/) by [Simon

Willison](https://simonwillison.net/2019/Oct/7/dogsheep/).