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music_library/README.md
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Music Library

Features

  • Add records from MusicBrainz, with optional override of specific pieces of data
  • Manage a collection and a wishlist of records, with ways to quickly search and filter based on records' metadata
  • Integration with Last.fm (display latest scrobbles, and where possible connect them with records in the collection or wishlist)
  • Some basic stats
  • All data stored in a single SQLite database for portability and ease of backup/restore
  • Ideal for deployment on a server with limited resources (1CPU, 512MB RAM)

Screenshots

Stats

Stats

Collection

Collection

Edit a record in the collection

Edit a record in the collection

View a record's details in the collection

View a record's details in the collection

Adding a record in the wishlist

Adding a record in the wishlist

Setup

The project is managed and configured via mise-en-place:

  • mise install will pull the correct Erlang, Elixir and Node.js versions
  • mise run setup will setup dependencies and database structure

Environment configuration

The application requires the following environment variables:

  • LAST_FM_USER: the Last.fm username used to populate the Scrobble Activity
  • LAST_FM_API_KEY (secret): the Last.fm API key used to fetch the Scrobble Activity
  • OPENAI_KEY (secret): the OpenAI API key used to populating genres

In production, the application also requires:

  • LOGIN_PASSWORD (secret): the password used for accessing the application.

You can create a mise.local.toml with the required variables (sample values are included at the top of mise.toml).

Running the application

Start the Phoenix endpoint with mix phx.server or inside IEx with iex -S mix phx.server.

Now you can visit localhost:4000 from your browser. The default password for development is change me.

Deployment

The application is setup for deployment on Fly.io - just make sure you edit fly.toml to match your app name, domain, etc.

CI

See the .github folder.

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