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Bandcamp autotagger source for beets (http://beets.io).

Project description

image

Plug-in for beets to use Bandcamp as an autotagger source.

This is an up-to-date fork of unrblt/beets-bandcamp

Installation

Navigate to your beets virtual environment, install the plug-in with

   pip install --user beetcamp

and add bandcamp to the plugins list to your beets configuration file.

Configuration

preferred_media

  • Default: Digital
  • available: Vinyl, CD, Cassette, Digital.

A comma-separated list of media to prioritise when fetching albums. For example: preferred_media: Vinyl,Cassette will ignore CD, check for a Vinyl, and then for a Cassette, in the end defaulting to Digital (always available) if none of the two are found.

search_max
  • Default: 10.

Maximum number of items to fetch through search queries. Depending on the specificity of queries and whether a suitable match is found, it could fetch 50+ results which may take a minute, so it'd make sense to bound this to some sort of sensible number. Usually, a match is found among the first 5 items.

lyrics
  • Default: false.

Add lyrics to the tracks if they are available.

art
  • Default: false.

Add a source to the FetchArt plug-in to download album art for Bandcamp albums (requires FetchArt plug-in enabled).

Usage

This plug-in uses the Bandcamp URL as id (for both albums and songs). If no matching release is found when importing you can select enter Id and paste the Bandcamp URL.

Currently supported / returned data

field singleton track album track album
album
album_id
albumartist
albumstatus
albumtype
artist
artist_id
catalognum
country
day
disctitle
image
index
label
length
lyrics
media
medium
mediums
* medium_index
* medium_total
month
title
track_alt
va
year
  • * are likely to be inaccurate, since Bandcamp does not provide this data, therefore they depend on artists providing some clues in the descriptions of their releases.

Project details


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beetcamp-0.4.3-py3-none-any.whl (24.8 kB view hashes)

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