beets/docs/plugins/mpdstats.rst
2014-04-07 18:04:15 +01:00

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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-mpd library in order to talk to the MPD
server.
Install the library from `pip`_, like so::
$ pip install python-mpd
.. _pip: http://www.pip-installer.org/
Configuring
-----------
To use it, enable it in your ``config.yaml`` by putting ``mpdstats`` on your
``plugins`` line. Then, you'll probably want to configure the specifics of
your MPD server. You can do that using an ``mpd:`` section in your
``config.yaml``, which looks like this::
mpd:
host: localhost
port: 6600
password: seekrit
If your MPD library is at another location then the beets library (e.g.,
because one is mounted on a NFS share), you can specify the
``music_directory`` in the config like this::
mpdstats:
music_directory: /PATH/TO/YOUR/FILES
If you don't want the plugin to update the rating, you can disable it with::
mpdstats:
rating: False
If you want to change the way the rating is calculated, you can set the
``rating_mix`` option like this::
mpdstats:
rating_mix: 1.0
For details, see below.
Usage
-----
Now use the ``mpdstats`` command to fire it up::
$ beet mpdstats
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