MusicBrainz RSS Feeder

mbz-rss-feeder

Overview

A small webserver that provides OPML, RSS and a minimal management UI to generate and manage feeds for artist release on MusicBrainz.

The OPML can be used to discover the current feeds. A feed lists all new releases for a group of artists.

Web UI

Feeds and artists

You can manage feeds and artists in the web UI:

• create a new feed or delete a feed
• edit a feed: give it a name and manage the artists in the feed
  • add an artist
  • remove an artist

Artist Search

When adding an artist, the service will query the musicbrainz API for the given string and return a list of matching artists. The user can then click on the artist to add to the feed.

Settings

In the settings page, you can

• set the number of days to look back (default: 90 days)
• the caching time (default: 8 hours)

Technical Features

Persistence

These files should be mounted to persist the configuration.

• the feed and artist information is stored in /var/mbz-rss-feeder/feeds.yml
• the service configuration is stored in /etc/mbz-rss-feeder.yml

Cached data is stored under /var/mbz-rss-feeder/cache but is not required to persist.

Updates to the configuration will also create a timestamped backup of the previous configuration.

Persistence updates

deployment

docker

This is a local container running with data stored in ./local/testdata docker run \ -p 8080:8080 -e LOG_LEVEL=debug --rm --name mbz-rss\ -v ./local/testdata/:/var/mbz-rss-feeder \ --env-file ./local/testdata/.env \ docker.io/library/mzb-rss-feeder:latest

After startup the server can be accessed through http://docker-host:8080.

Environment

# User Agent for MusicBrainz API 
MB_APP_NAME=MinifluxRSSGenerator
MB_VERSION=2.0
MB_CONTACT=yourname@example.com

Dependencies/Requirements

The pypi package musicbrainzngs is used to communicate with MusicBrainz.