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131 lines
4 KiB
Python
131 lines
4 KiB
Python
# This file is part of beets.
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# Copyright 2016, Adrian Sampson.
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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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"""Some simple performance benchmarks for beets."""
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import cProfile
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import timeit
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from beets import importer, library, plugins, ui, vfs
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from beets.autotag import match
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from beets.plugins import BeetsPlugin
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from beets.util.functemplate import Template
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def aunique_benchmark(lib, prof):
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def _build_tree():
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vfs.libtree(lib)
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# Measure path generation performance with %aunique{} included.
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lib.path_formats = [
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(
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library.PF_KEY_DEFAULT,
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Template("$albumartist/$album%aunique{}/$track $title"),
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),
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]
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if prof:
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cProfile.runctx(
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"_build_tree()",
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{},
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{"_build_tree": _build_tree},
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"paths.withaunique.prof",
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)
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else:
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interval = timeit.timeit(_build_tree, number=1)
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print("With %aunique:", interval)
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# And with %aunique replaceed with a "cheap" no-op function.
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lib.path_formats = [
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(
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library.PF_KEY_DEFAULT,
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Template("$albumartist/$album%lower{}/$track $title"),
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),
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]
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if prof:
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cProfile.runctx(
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"_build_tree()",
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{},
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{"_build_tree": _build_tree},
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"paths.withoutaunique.prof",
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)
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else:
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interval = timeit.timeit(_build_tree, number=1)
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print("Without %aunique:", interval)
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def match_benchmark(lib, prof, query=None, album_id=None):
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# If no album ID is provided, we'll match against a suitably huge
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# album.
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if not album_id:
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album_id = "9c5c043e-bc69-4edb-81a4-1aaf9c81e6dc"
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# Get an album from the library to use as the source for the match.
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items = lib.albums(query).get().items()
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# Ensure fingerprinting is invoked (if enabled).
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plugins.send(
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"import_task_start",
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task=importer.ImportTask(None, None, items),
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session=importer.ImportSession(lib, None, None, None),
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)
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# Run the match.
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def _run_match():
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match.tag_album(items, search_ids=[album_id])
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if prof:
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cProfile.runctx(
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"_run_match()", {}, {"_run_match": _run_match}, "match.prof"
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)
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else:
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interval = timeit.timeit(_run_match, number=1)
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print("match duration:", interval)
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class BenchmarkPlugin(BeetsPlugin):
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"""A plugin for performing some simple performance benchmarks."""
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def commands(self):
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aunique_bench_cmd = ui.Subcommand(
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"bench_aunique", help="benchmark for %aunique{}"
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)
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aunique_bench_cmd.parser.add_option(
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"-p",
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"--profile",
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action="store_true",
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default=False,
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help="performance profiling",
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)
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aunique_bench_cmd.func = lambda lib, opts, args: aunique_benchmark(
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lib, opts.profile
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)
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match_bench_cmd = ui.Subcommand(
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"bench_match", help="benchmark for track matching"
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)
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match_bench_cmd.parser.add_option(
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"-p",
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"--profile",
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action="store_true",
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default=False,
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help="performance profiling",
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)
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match_bench_cmd.parser.add_option(
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"-i", "--id", default=None, help="album ID to match against"
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)
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match_bench_cmd.func = lambda lib, opts, args: match_benchmark(
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lib, opts.profile, args, opts.id
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)
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return [aunique_bench_cmd, match_bench_cmd]
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