Copilot
e11894c095
* Implement optimized batch rule application - Add apply_all_album_rules/1 to batch apply all album rules in single query - Add apply_all_artist_rules/1 to batch apply all artist rules in single query - Update apply_all_rules/0 to use new batch functions - Add comprehensive tests for batch application - Use CASE statement in SQL to apply multiple rules efficiently Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com> * Add batch application support for track-filtered rules - Extend apply_all_album_rules/2 to support filtering by tracks - Extend apply_all_artist_rules/2 to support filtering by tracks - Update apply_all_rules/1 to use batch functions for track-filtered application - Remove duplicate function definitions - Ensures both main use cases (all tracks and specific tracks) are optimized Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com> * Add comprehensive documentation for optimization - Document the problem and solution approach - Explain SQL generation and performance impact - Detail trade-offs and backward compatibility - Include future considerations and scalability notes Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com> * Apply credo suggestions and format --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com> Co-authored-by: Claudio Ortolina <cloud8421@gmail.com>
Music Library
- 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
- scrobble a record
- store a local copy of the complete scrobble history, and setup rules to fix its data as needed
- Some basic stats
- All data stored in a single SQLite database for portability and ease of backup/restore
Screenshots
Stats
Collection
Searching for a record to add
Edit a record in the collection
View a record's details in the collection
View a record's tracklist
Adding a record in the wishlist
View an artist's details
View the scrobble activity
Setup
The project is managed and configured via mise-en-place:
mise installwill pull the correct Erlang, Elixir and Node.js versionsmise run dev:setupwill setup dependencies and database structure
Important
The project uses Fluxon UI, so it requires a valid set of credentials. See the
envsection inmise.tomlfor 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
The application requires the following environment variables:
LAST_FM_USER: the Last.fm username used to populate the Scrobble ActivityLAST_FM_API_KEY(secret): the Last.fm API key used to fetch the Scrobble ActivityOPENAI_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 mise run console (along with an attached IEx session).
Now you can visit localhost:4000 from your browser.
The default password for development is change me.
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 (https://github.com/twitter/twemoji)
- Graphics Source: https://github.com/twitter/twemoji/blob/master/assets/svg/1f4bd.svg
- Graphics License: CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
