A tool written in Ruby on Rails, to seed MusicBrainz track relationships with data from Jaxsta track credits.
NOTE: Currently, this is only a data display tool, until I can determine the best course of action for seeding MB either through API, scraping or automation tools.
The goal here is to make rich track-level credits easy to add to MusicBrainz, which is the upstream metadata source of many online music services. What the final product of seeding this data looks like can be seen here: https://musicbrainz.org/release/eecba6f1-67dc-45d6-942d-15e329d7886e
But doing a release like that, can take hours. As such, this project aims to simplify the process by:
- Clearly displaying relevant data, and nothing else
- Presenting a format in which the data is easy to copy for manual data entry.
- In the future, seeding this data into the appropriate fields, and only requiring the user to verify data accuracy.
Eventually, I intend to deploy this as a web service. Until it is stable enough to do so, you can run this locally in one of two ways:
Since Docker is the quickest way to get up and running without worrying about requirements and dependencies, it's the recommended way to get started.
docker run --rm -d --name mirmir -p 3000:3000/tcp ghcr.io/djdembeck/mirmir:main
- Open a browser to
127.0.0.1:3000
- Ruby 3.0.0 or later
- Rails 6.1.4 or later
A great guide on setting up the requirements for setup, can be found here: https://gorails.com/setup/ubuntu/21.04#overview
Getting up and running is pretty straightforward. From the project directory:
gem install bundlerbundle installrails s -b 127.0.0.1- Open a browser to
127.0.0.1:3000
After setting up the dependencies above, tests can be run from the project folder with:
bundle exec rspec
Tidal/Spotify methods are also written but not exposed (Bearer can be retrieved from developer tools->network->name:events->request headers)