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390 lines
15 KiB
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390 lines
15 KiB
ReStructuredText
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Extend the Autotagger
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~~~~~~~~~~~~~~~~~~~~~
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Plugins can also enhance the functionality of the autotagger. For a
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comprehensive example, try looking at the ``chroma`` plugin, which is included
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with beets.
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A plugin can extend three parts of the autotagger's process: the track distance
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function, the album distance function, and the initial MusicBrainz search. The
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distance functions determine how "good" a match is at the track and album
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levels; the initial search controls which candidates are presented to the
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matching algorithm. Plugins implement these extensions by implementing four
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methods on the plugin class:
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- ``track_distance(self, item, info)``: adds a component to the distance
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function (i.e., the similarity metric) for individual tracks. ``item`` is the
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track to be matched (an Item object) and ``info`` is the TrackInfo object that
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is proposed as a match. Should return a ``(dist, dist_max)`` pair of floats
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indicating the distance.
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- ``album_distance(self, items, album_info, mapping)``: like the above, but
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compares a list of items (representing an album) to an album-level MusicBrainz
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entry. ``items`` is a list of Item objects; ``album_info`` is an AlbumInfo
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object; and ``mapping`` is a dictionary that maps Items to their corresponding
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TrackInfo objects.
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- ``candidates(self, items, artist, album, va_likely)``: given a list of items
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comprised by an album to be matched, return a list of ``AlbumInfo`` objects
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for candidate albums to be compared and matched.
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- ``item_candidates(self, item, artist, album)``: given a *singleton* item,
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return a list of ``TrackInfo`` objects for candidate tracks to be compared and
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matched.
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- ``album_for_id(self, album_id)``: given an ID from user input or an album's
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tags, return a candidate AlbumInfo object (or None).
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- ``track_for_id(self, track_id)``: given an ID from user input or a file's
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tags, return a candidate TrackInfo object (or None).
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When implementing these functions, you may want to use the functions from the
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``beets.autotag`` and ``beets.autotag.mb`` modules, both of which have somewhat
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helpful docstrings.
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Read Configuration Options
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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Plugins can configure themselves using the ``config.yaml`` file. You can read
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configuration values in two ways. The first is to use ``self.config`` within
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your plugin class. This gives you a view onto the configuration values in a
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section with the same name as your plugin's module. For example, if your plugin
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is in ``greatplugin.py``, then ``self.config`` will refer to options under the
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``greatplugin:`` section of the config file.
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For example, if you have a configuration value called "foo", then users can put
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this in their ``config.yaml``:
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::
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greatplugin:
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foo: bar
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To access this value, say ``self.config['foo'].get()`` at any point in your
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plugin's code. The ``self.config`` object is a *view* as defined by the Confuse_
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library.
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.. _confuse: https://confuse.readthedocs.io/en/latest/
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If you want to access configuration values *outside* of your plugin's section,
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import the ``config`` object from the ``beets`` module. That is, just put ``from
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beets import config`` at the top of your plugin and access values from there.
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If your plugin provides configuration values for sensitive data (e.g.,
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passwords, API keys, ...), you should add these to the config so they can be
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redacted automatically when users dump their config. This can be done by setting
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each value's ``redact`` flag, like so:
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::
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self.config['password'].redact = True
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Add Path Format Functions and Fields
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Beets supports *function calls* in its path format syntax (see
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:doc:`/reference/pathformat`). Beets includes a few built-in functions, but
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plugins can register new functions by adding them to the ``template_funcs``
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dictionary.
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Here's an example:
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::
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class MyPlugin(BeetsPlugin):
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def __init__(self):
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super().__init__()
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self.template_funcs['initial'] = _tmpl_initial
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def _tmpl_initial(text: str) -> str:
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if text:
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return text[0].upper()
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else:
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return u''
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This plugin provides a function ``%initial`` to path templates where
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``%initial{$artist}`` expands to the artist's initial (its capitalized first
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character).
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Plugins can also add template *fields*, which are computed values referenced as
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``$name`` in templates. To add a new field, add a function that takes an
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``Item`` object to the ``template_fields`` dictionary on the plugin object.
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Here's an example that adds a ``$disc_and_track`` field:
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::
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class MyPlugin(BeetsPlugin):
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def __init__(self):
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super().__init__()
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self.template_fields['disc_and_track'] = _tmpl_disc_and_track
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def _tmpl_disc_and_track(item: Item) -> str:
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"""Expand to the disc number and track number if this is a
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multi-disc release. Otherwise, just expands to the track
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number.
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"""
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if item.disctotal > 1:
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return f"{item.disc:02d}.{item.track:02d}"
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else:
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return f"{item.track:02d}"
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With this plugin enabled, templates can reference ``$disc_and_track`` as they
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can any standard metadata field.
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This field works for *item* templates. Similarly, you can register *album*
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template fields by adding a function accepting an ``Album`` argument to the
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``album_template_fields`` dict.
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Extend MediaFile
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~~~~~~~~~~~~~~~~
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MediaFile_ is the file tag abstraction layer that beets uses to make
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cross-format metadata manipulation simple. Plugins can add fields to MediaFile
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to extend the kinds of metadata that they can easily manage.
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The ``MediaFile`` class uses ``MediaField`` descriptors to provide access to
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file tags. If you have created a descriptor you can add it through your plugins
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:py:meth:`beets.plugins.BeetsPlugin.add_media_field()` method.
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.. _mediafile: https://mediafile.readthedocs.io/en/latest/
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Here's an example plugin that provides a meaningless new field "foo":
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::
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class FooPlugin(BeetsPlugin):
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def __init__(self):
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field = mediafile.MediaField(
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mediafile.MP3DescStorageStyle(u'foo'),
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mediafile.StorageStyle(u'foo')
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)
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self.add_media_field('foo', field)
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FooPlugin()
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item = Item.from_path('/path/to/foo/tag.mp3')
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assert item['foo'] == 'spam'
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item['foo'] == 'ham'
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item.write()
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# The "foo" tag of the file is now "ham"
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.. _plugin-stage:
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Add Import Pipeline Stages
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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Many plugins need to add high-latency operations to the import workflow. For
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example, a plugin that fetches lyrics from the Web would, ideally, not block the
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progress of the rest of the importer. Beets allows plugins to add stages to the
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parallel import pipeline.
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Each stage is run in its own thread. Plugin stages run after metadata changes
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have been applied to a unit of music (album or track) and before file
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manipulation has occurred (copying and moving files, writing tags to disk).
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Multiple stages run in parallel but each stage processes only one task at a time
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and each task is processed by only one stage at a time.
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Plugins provide stages as functions that take two arguments: ``config`` and
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``task``, which are ``ImportSession`` and ``ImportTask`` objects (both defined
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in ``beets.importer``). Add such a function to the plugin's ``import_stages``
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field to register it:
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::
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from beets.plugins import BeetsPlugin
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class ExamplePlugin(BeetsPlugin):
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def __init__(self):
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super().__init__()
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self.import_stages = [self.stage]
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def stage(self, session, task):
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print('Importing something!')
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It is also possible to request your function to run early in the pipeline by
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adding the function to the plugin's ``early_import_stages`` field instead:
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::
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self.early_import_stages = [self.stage]
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.. _extend-query:
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Extend the Query Syntax
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~~~~~~~~~~~~~~~~~~~~~~~
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You can add new kinds of queries to beets' :doc:`query syntax
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</reference/query>`. There are two ways to add custom queries: using a prefix
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and using a name. Prefix-based query extension can apply to *any* field, while
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named queries are not associated with any field. For example, beets already
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supports regular expression queries, which are indicated by a colon
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prefix---plugins can do the same.
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For either kind of query extension, define a subclass of the ``Query`` type from
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the ``beets.dbcore.query`` module. Then:
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- To define a prefix-based query, define a ``queries`` method in your plugin
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class. Return from this method a dictionary mapping prefix strings to query
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classes.
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- To define a named query, defined dictionaries named either ``item_queries`` or
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``album_queries``. These should map names to query types. So if you use ``{
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"foo": FooQuery }``, then the query ``foo:bar`` will construct a query like
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``FooQuery("bar")``.
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For prefix-based queries, you will want to extend ``FieldQuery``, which
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implements string comparisons on fields. To use it, create a subclass inheriting
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from that class and override the ``value_match`` class method. (Remember the
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``@classmethod`` decorator!) The following example plugin declares a query using
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the ``@`` prefix to delimit exact string matches. The plugin will be used if we
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issue a command like ``beet ls @something`` or ``beet ls artist:@something``:
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::
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from beets.plugins import BeetsPlugin
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from beets.dbcore import FieldQuery
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class ExactMatchQuery(FieldQuery):
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@classmethod
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def value_match(self, pattern, val):
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return pattern == val
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class ExactMatchPlugin(BeetsPlugin):
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def queries(self):
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return {
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'@': ExactMatchQuery
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}
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Flexible Field Types
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~~~~~~~~~~~~~~~~~~~~
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If your plugin uses flexible fields to store numbers or other non-string values,
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you can specify the types of those fields. A rating plugin, for example, might
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want to declare that the ``rating`` field should have an integer type:
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::
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from beets.plugins import BeetsPlugin
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from beets.dbcore import types
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class RatingPlugin(BeetsPlugin):
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item_types = {'rating': types.INTEGER}
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@property
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def album_types(self):
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return {'rating': types.INTEGER}
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A plugin may define two attributes: ``item_types`` and ``album_types``. Each of
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those attributes is a dictionary mapping a flexible field name to a type
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instance. You can find the built-in types in the ``beets.dbcore.types`` and
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``beets.library`` modules or implement your own type by inheriting from the
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``Type`` class.
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Specifying types has several advantages:
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- Code that accesses the field like ``item['my_field']`` gets the right type
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(instead of just a string).
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- You can use advanced queries (like :ref:`ranges <numericquery>`) from the
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command line.
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- User input for flexible fields may be validated and converted.
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- Items missing the given field can use an appropriate null value for querying
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and sorting purposes.
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.. _plugin-logging:
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Logging
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~~~~~~~
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Each plugin object has a ``_log`` attribute, which is a ``Logger`` from the
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`standard Python logging module`_. The logger is set up to `PEP 3101`_,
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str.format-style string formatting. So you can write logging calls like this:
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::
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self._log.debug(u'Processing {0.title} by {0.artist}', item)
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.. _pep 3101: https://www.python.org/dev/peps/pep-3101/
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.. _standard python logging module: https://docs.python.org/2/library/logging.html
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When beets is in verbose mode, plugin messages are prefixed with the plugin name
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to make them easier to see.
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Which messages will be logged depends on the logging level and the action
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performed:
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- Inside import stages and event handlers, the default is ``WARNING`` messages
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and above.
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- Everywhere else, the default is ``INFO`` or above.
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The verbosity can be increased with ``--verbose`` (``-v``) flags: each flags
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lowers the level by a notch. That means that, with a single ``-v`` flag, event
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handlers won't have their ``DEBUG`` messages displayed, but command functions
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(for example) will. With ``-vv`` on the command line, ``DEBUG`` messages will be
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displayed everywhere.
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This addresses a common pattern where plugins need to use the same code for a
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command and an import stage, but the command needs to print more messages than
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the import stage. (For example, you'll want to log "found lyrics for this song"
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when you're run explicitly as a command, but you don't want to noisily interrupt
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the importer interface when running automatically.)
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.. _append_prompt_choices:
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Append Prompt Choices
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~~~~~~~~~~~~~~~~~~~~~
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Plugins can also append choices to the prompt presented to the user during an
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import session.
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To do so, add a listener for the ``before_choose_candidate`` event, and return a
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list of ``PromptChoices`` that represent the additional choices that your plugin
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shall expose to the user:
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::
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from beets.plugins import BeetsPlugin
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from beets.ui.commands import PromptChoice
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class ExamplePlugin(BeetsPlugin):
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def __init__(self):
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super().__init__()
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self.register_listener('before_choose_candidate',
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self.before_choose_candidate_event)
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def before_choose_candidate_event(self, session, task):
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return [PromptChoice('p', 'Print foo', self.foo),
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PromptChoice('d', 'Do bar', self.bar)]
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def foo(self, session, task):
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print('User has chosen "Print foo"!')
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def bar(self, session, task):
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print('User has chosen "Do bar"!')
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The previous example modifies the standard prompt:
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::
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# selection (default 1), Skip, Use as-is, as Tracks, Group albums,
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Enter search, enter Id, aBort?
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by appending two additional options (``Print foo`` and ``Do bar``):
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::
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# selection (default 1), Skip, Use as-is, as Tracks, Group albums,
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Enter search, enter Id, aBort, Print foo, Do bar?
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If the user selects a choice, the ``callback`` attribute of the corresponding
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``PromptChoice`` will be called. It is the responsibility of the plugin to check
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for the status of the import session and decide the choices to be appended: for
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example, if a particular choice should only be presented if the album has no
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candidates, the relevant checks against ``task.candidates`` should be performed
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inside the plugin's ``before_choose_candidate_event`` accordingly.
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Please make sure that the short letter for each of the choices provided by the
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plugin is not already in use: the importer will emit a warning and discard all
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but one of the choices using the same letter, giving priority to the core
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importer prompt choices. As a reference, the following characters are used by
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the choices on the core importer prompt, and hence should not be used: ``a``,
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``s``, ``u``, ``t``, ``g``, ``e``, ``i``, ``b``.
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Additionally, the callback function can optionally specify the next action to be
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performed by returning a ``importer.Action`` value. It may also return a
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``autotag.Proposal`` value to update the set of current proposals to be
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considered.
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