# Music Library - [Music Library](#music-library) - [Features](#features) - [Screenshots](#screenshots) - [Stats dashboard](#stats-dashboard) - [Collection](#collection) - [Searching for a record to add](#searching-for-a-record-to-add) - [Record details](#record-details) - [Record releases](#record-releases) - [Record chat](#record-chat) - [Artist details](#artist-details) - [Wishlist record details](#wishlist-record-details) - [Record sets](#record-sets) - [Scrobble rules](#scrobble-rules) - [New scrobble rule](#new-scrobble-rule) - [Universal search](#universal-search) - [Setup](#setup) - [Environment configuration](#environment-configuration) - [Running the application](#running-the-application) - [Auditing Scrobble Data Quality](#auditing-scrobble-data-quality) - [Deployment](#deployment) - [CI](#ci) - [Architecture](#architecture) - [Favicons](#favicons) ## 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 - scrobble a record - store a local copy of the complete scrobble history, and setup rules to fix its data as needed - audit scrobble data quality and identify tracks with missing MusicBrainz IDs - Some basic stats - All data stored in a single SQLite database for portability and ease of backup/restore ## Screenshots ### Stats dashboard ![Stats dashboard](.github/screenshots/stats-dashboard.png) ### Collection ![Collection](.github/screenshots/collection-grid.png) ### Searching for a record to add ![Searching for a record to add](.github/screenshots/add-record-search.png) ### Record details ![Record details](.github/screenshots/record-details.png) ### Record releases ![Record releases](.github/screenshots/record-releases.png) ### Record chat ![Record chat](.github/screenshots/record-chat.png) ### Artist details ![Artist details](.github/screenshots/artist-page.png) ### Wishlist record details ![Wishlist record details](.github/screenshots/wishlist-record-details.png) ### Record sets ![Record sets](.github/screenshots/record-sets.png) ### Scrobble rules ![Scrobble rules](.github/screenshots/scrobble-rules.png) ### New scrobble rule ![New scrobble rule](.github/screenshots/scrobble-rule-form.png) ### Universal search ![Universal search](.github/screenshots/universal-search.png) ## Setup The project is managed and configured via [mise-en-place](https://mise.jdx.dev): - `mise install` will pull the correct Erlang, Elixir and Node.js versions - `mise run dev:setup` will setup dependencies and database structure > [!IMPORTANT] > The project uses [Fluxon UI](https://fluxonui.com/), so it requires a valid > set of credentials. See the `env` section in `mise.toml` for the required > environment variables. It's recommended to use the git hooks included in the project. Install with: `mise generate git-pre-commit --write --task=dev:precommit` ## Environment configuration Required environment variables for development are listed in `mise.toml`. You can create a `mise.local.toml` with the required variables (sample values are included at the top of `mise.toml`). For production, please see `compose.yaml` for a list of required variables. ## Running the application Start the Phoenix endpoint with `mise run console` (along with an attached IEx session). Now you can visit [`localhost:4000`](http://localhost:4000) from your browser. The default password for development is `change me`. ## Auditing Scrobble Data Quality The application includes a Mix task to audit scrobbled tracks and identify data quality issues such as missing MusicBrainz IDs for artists and albums. ### Running the Audit ```bash # Audit all tracks mix scrobble.audit # Audit with detailed output including sample tracks mix scrobble.audit --verbose # Audit only artist issues mix scrobble.audit --type artist # Audit only album issues mix scrobble.audit --type album # Output as JSON for processing mix scrobble.audit --format json ``` ### Understanding the Audit Report The audit report shows: - Total number of scrobbled tracks - Artists with missing MusicBrainz IDs (grouped by artist name) - Albums with missing MusicBrainz IDs (grouped by album title and artist) - Track counts for each issue ### Fixing Data Quality Issues After identifying issues, you can: 1. **Create Scrobble Rules**: Navigate to the Scrobble Rules page in the web interface and add rules to map artist or album names to their correct MusicBrainz IDs. 2. **Apply Rules**: Use the "Apply Rules" button in the Scrobble Rules page to update existing tracks, or run in IEx: ```elixir MusicLibrary.ScrobbleRules.apply_all_rules() ``` 3. **Re-audit**: Run the audit again to verify the fixes worked. The application also provides helper functions in the `MusicLibrary.ScrobbleActivity` context: - `count_tracks_missing_artist_musicbrainz_id/0` - `count_tracks_missing_album_musicbrainz_id/0` - `get_artists_missing_musicbrainz_id/1` - `get_albums_missing_musicbrainz_id/1` ## Deployment The application is deployed via Coolify, using a Docker Compose strategy. ## CI See the `.github` folder. ## Architecture See the `docs` folder. ## Favicons This favicon was generated using the following graphics from Twitter Twemoji: - Graphics Title: 1f4bd.svg - Graphics Author: Copyright 2020 Twitter, Inc and other contributors () - Graphics Source: - Graphics License: CC-BY 4.0 ()