beets/docs/plugins/mpdstats.rst
2015-05-24 18:24:29 -04:00

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MPDStats Plugin
================
``mpdstats`` is a plugin for beets that collects statistics about your listening
habits from `MPD`_. It collects the following information about tracks:
* play_count: The number of times you *fully* listened to this track.
* skip_count: The number of times you *skipped* this track.
* last_played: UNIX timestamp when you last played this track.
* rating: A rating based on *play_count* and *skip_count*.
.. _MPD: http://www.musicpd.org/
Installing Dependencies
-----------------------
This plugin requires the python-mpd2 library in order to talk to the MPD
server.
Install the library from `pip`_, like so::
$ pip install python-mpd2
Add the ``mpdstats`` plugin to your configuration (see :ref:`using-plugins`).
.. _pip: http://www.pip-installer.org/
Usage
-----
Use the ``mpdstats`` command to fire it up::
$ beet mpdstats
Configuration
-------------
To configure the plugin, make an ``mpd:`` section in your
configuration file. The available options are:
- **host**: The MPD server hostname.
Default: ``localhost``.
- **port**: The MPD server port.
Default: 6600.
- **password**: The MPD server password.
Default: None.
- **music_directory**: If your MPD library is at a different location from the
beets library (e.g., because one is mounted on a NFS share), specify the path
here.
Default: The beets library directory.
- **rating**: Enable rating updates.
Default: ``yes``.
- **rating_mix**: Tune the way rating is calculated (see below).
Default: 0.75.
A Word on Ratings
-----------------
Ratings are calculated based on the *play_count*, *skip_count* and the last
*action* (play or skip). It consists in one part of a *stable_rating* and in
another part on a *rolling_rating*. The *stable_rating* is calculated like
this::
stable_rating = (play_count + 1.0) / (play_count + skip_count + 2.0)
So if the *play_count* equals the *skip_count*, the *stable_rating* is always
0.5. More *play_counts* adjust the rating up to 1.0. More *skip_counts*
adjust it down to 0.0. One of the disadvantages of this rating system, is
that it doesn't really cover *recent developments*. e.g. a song that you
loved last year and played over 50 times will keep a high rating even if you
skipped it the last 10 times. That's were the *rolling_rating* comes in.
If a song has been fully played, the *rolling_rating* is calculated like
this::
rolling_rating = old_rating + (1.0 - old_rating) / 2.0
If a song has been skipped, like this::
rolling_rating = old_rating - old_rating / 2.0
So *rolling_rating* adapts pretty fast to *recent developments*. But it's too
fast. Taking the example from above, your old favorite with 50 plays will get
a negative rating (<0.5) the first time you skip it. Also not good.
To take the best of both worlds, we mix the ratings together with the
``rating_mix`` factor. A ``rating_mix`` of 0.0 means all
*rolling* and 1.0 means all *stable*. We found 0.75 to be a good compromise,
but fell free to play with that.
Warning
-------
This has only been tested with MPD versions >= 0.16. It may not work
on older versions. If that is the case, please report an `issue`_.
.. _issue: https://github.com/sampsyo/beets/issues