Skip to main content

('A beets plugin to execute repetitive tasks in one go.',)

Project description

Build Status Coverage Status PyPi MIT license

Autofix (Beets Plugin)

The beets-autofix plugin helps you to automate the tasks that you keep repeating to maintain your library.

The plugin is a wrapper around the plugins that you already have in beets. It iterates through the items you have in your library and calls the individual plugins to execute their jobs as they are configured by you.

Installation

The plugin can be installed via:

$ pip install beets-autofix

Usage

Invoke the plugin as:

$ beet autofix [options] [QUERY...]

The following command line options are available:

--max_exec_time=MAX_EXEC_TIME [-m MAX_EXEC_TIME]: Interrupt the execution after this number of seconds.

--version [-v]: Display the version number of the plugin. Useful when you need to report some issue and you have to state the version of the plugin you are using.

Configuration

By default all tasks are disabled:

max_exec_time: 0
tasks:
  missing_file_checker:
    enabled: no
  year_fixer:
    enabled: no
  audio_conversion:
    enabled: no
  tag_cleaner:
    enabled: no
  ab_data_fetcher:
    enabled: no
  xtractor:
    enabled: no
  genre_finder:
    enabled: no

You need to override the default configuration and enable the tasks you want to run.

The max_exec_time allows you to interrupt the execution after a certain number of seconds. For no limit set it to 0.

Tasks

The following tasks are available:

Missing File Checker (task name: missing_file_checker) [related plugin: None]

This task is not related to any plugin. It will iterate through all library items and check if the file indicated by the path attribute exists. If it does not exist, it deletes the library item.

Year Fixer (task name: year_fixer) [related plugin: yearfixer]

The YearFixer plugin will attempt to fix items with missing year or original_year attributes missing. The particularity of the yearfixer plugin is that given a specific release, to look for the original_year attribute, it will search for all recordings of the same title (by the same artist) in the MB database and chose the earliest year that song has been released.

Conversion (task name: audio_conversion) [related plugin: convert]

This plugin is based on the convert plugin and triggers the conversion in two cases:

  • if the format of the item is does not correspond to the format specified in the convert plugin configuration
  • if the bitrate of the item is greater than the bitrate specified in the convert plugin configuration

In both cases the audio file will be converted according to the convert plugin configuration. The converted audio file will be attached to the library item whilst the original audio file will be deleted.

Tag Cleaner (task name: tag_cleaner) [related plugin: zero]

This task works with the zero plugin and triggers only if in the configuration you use the fields configuration option (it does not work with the keep_fields option for now). If any of those fields are found to be non-empty, the item will be passed to the zero plugin for processing.

AcousticBrainz Data Fetcher (task name: ab_data_fetcher) [related plugin: acousticbrainz]

This task will check if any of the following attributes are missing from the library item and will call the acousticbrainz plugin to fetch such data from the acousticbrainz database. The task will then set the values for the missing attributes. If the force configuration option is set to yes in the configuration of the acousticbrainz plugin then all attributes will be set.

The attributes checked and set are: average_loudness, bpm, danceable, gender, genre_rosamerica, voice_instrumental, mood_acoustic, mood_aggressive, mood_electronic, mood_happy, mood_party, mood_relaxed, mood_sad (some more to come soon)

Xtractor(task name: xtractor) [related plugin: xtractor]

This task and the related plugin works on exactly the same attributes as the ones listed in the AcousticBrainz Data Fetcher task. The difference is that the xtractor plugin does not rely on external databases but uses the Essentia extractor binaries to extract such data from your audio files.

Genre Finder (task name: genre_finder) [related plugin: lastgenre]

This task will call the lastgenre plugin to find out the genre of a specific song. If that fails, it will fall back to the genre_rosamerica attribute estimated by the Essentia high level extractor and map the genre based on this table:

    "cla" -> "classical"
    "dan" -> "dance"
    "hip" -> "hip-hop"
    "jaz" -> "jazz"
    "pop" -> "pop"
    "rhy" -> "rhythm and blues"
    "roc" -> "rock"
    "spe" -> "speech"

Issues

If something is not working as expected please use the Issue tracker. If the documentation is not clear please use the Issue tracker. If you have a feature request please use the Issue tracker. In any other situation please use the Issue tracker.

Other plugins by the same author

Final Remarks

Enjoy!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for beets-autofix, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size beets_autofix-0.1.1-py3-none-any.whl (16.3 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size beets-autofix-0.1.1.tar.gz (10.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page