mirror of
https://github.com/clinton-hall/nzbToMedia.git
synced 2024-11-14 17:40:24 -08:00
56c6773c6b
Updates colorama to 0.4.6 Adds confuse version 1.7.0 Updates jellyfish to 0.9.0 Adds mediafile 0.10.1 Updates munkres to 1.1.4 Updates musicbrainzngs to 0.7.1 Updates mutagen to 1.46.0 Updates pyyaml to 6.0 Updates unidecode to 1.3.6
58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
# This file is part of beets.
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# Copyright 2016, Adrian Sampson and Diego Moreda.
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#
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# Permission is hereby granted, free of charge, to any person obtaining
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# a copy of this software and associated documentation files (the
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# "Software"), to deal in the Software without restriction, including
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# without limitation the rights to use, copy, modify, merge, publish,
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# distribute, sublicense, and/or sell copies of the Software, and to
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# permit persons to whom the Software is furnished to do so, subject to
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# the following conditions:
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#
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# The above copyright notice and this permission notice shall be
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# included in all copies or substantial portions of the Software.
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"""Aid in submitting information to MusicBrainz.
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This plugin allows the user to print track information in a format that is
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parseable by the MusicBrainz track parser [1]. Programmatic submitting is not
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implemented by MusicBrainz yet.
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[1] https://wiki.musicbrainz.org/History:How_To_Parse_Track_Listings
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"""
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from beets.autotag import Recommendation
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from beets.plugins import BeetsPlugin
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from beets.ui.commands import PromptChoice
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from beetsplug.info import print_data
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class MBSubmitPlugin(BeetsPlugin):
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def __init__(self):
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super().__init__()
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self.config.add({
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'format': '$track. $title - $artist ($length)',
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'threshold': 'medium',
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})
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# Validate and store threshold.
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self.threshold = self.config['threshold'].as_choice({
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'none': Recommendation.none,
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'low': Recommendation.low,
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'medium': Recommendation.medium,
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'strong': Recommendation.strong
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})
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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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if task.rec <= self.threshold:
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return [PromptChoice('p', 'Print tracks', self.print_tracks)]
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def print_tracks(self, session, task):
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for i in sorted(task.items, key=lambda i: i.track):
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print_data(None, i, self.config['format'].as_str())
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