Skip to main content

Beets - VT Album Artist

This is a plugin for Beets. It provides a customizable flexible field/tag, vt_albumartist, which defaults to the track's albumartist. With this tag you'll be able to group different artists under a same group if your music player supports custom tags (e.g.: MusicBee).

Plugin only lightly tested by me. Use at your own risk!

Install

To install it, use pip:

pip install beets-vtalbumartist

or

git clone https://github.com/rafaelparente/beets-vtalbumartist.git
cd beets-vtalbumartist
python setup.py install

Configuration

Enable the plugin in beets' config.yaml

plugins: vtalbumartist

How to use it

It works primarily as an extra import stage, after Apply-like actions, which allows the user to Edit the "Virtual Album Artist", saving this value under the field/tag "vt_albumartist". If not edited, its value will be the same as the album's artist field/tag (default value) or some previously set value (current value).

To set or change this field/tag for already imported tracks, a new command is provided: vtalbumartist. To run it, just type beet vtalbumartist QUERY where QUERY matches the tracks to be set. By default the command will match only albums (and its tracks) which have at least one track missing the vt_albumartist field/tag for that QUERY. Additional command-line options include:

  • --singletons or -s: match singleton tracks instead of albums

  • -reset or -r: match even those with field/tag already set

  • -quiet or -q: never prompt for input: set field/tag automatically It will try to set the field/tag to a current value, if any, or else it will use the default value.

It's compatible with built-in plugins that modify tags, like scrub and mbsync, as long as the field is still saved on the library.

Therefore, if so needed, you can remove the tag from the files by first removing the field from the library. For that you can use the default modify function on beets like it's explained in the Docs. For example:

beet modify vt_albumartist! QUERY

will remove the field for all tracks that match QUERY. Then, to remove the tag from the file, you can use the built-in plugin scrub: Scrub. Like so:

beet scrub QUERY

but be aware that it will also remove other tags on the file if they are not saved on the library's database.

Metadata

Release files for beets-vtalbumartist 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for beets-vtalbumartist 1.1.0
File Size Uploaded
beets-vtalbumartist-1.1.0.tar.gz 6.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for beets-vtalbumartist 1.1.0
File Interpreter ABI Platform
beets_vtalbumartist-1.1.0-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 11.4 kB

Release files / beets-vtalbumartist-1.1.0.tar.gz

Download URL beets-vtalbumartist-1.1.0.tar.gz
Size 6.1 kB
Tags Source
SHA-256 checksum
How to use checksums
c52cfa8c38dcf7818ecfdf80de3d64ea0f90f3224970061575f789817ead8d26
BLAKE2b-256 checksum
How to use checksums
76e132910f70784480c6799292cc5f451624b658982eb77cd05588466985c9dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

Release files / beets_vtalbumartist-1.1.0-py2.py3-none-any.whl

Download URL beets_vtalbumartist-1.1.0-py2.py3-none-any.whl
Size 5.2 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
77a71bb08628cfcf6eb6350c07cdfefb24f6cc112f8afde6139deb88753eee66
BLAKE2b-256 checksum
How to use checksums
0f0f913fdbaaa35b6d4fcf9b3903309fcda59227e4b588925fea8382163fefe4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7

Release history Release notifications | RSS feed

This release

1.1.0 This release

2 release files

1.0.2

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page