A module for cleaning up artist, album, and song names.
Project description
music-metadata-filter
A module for cleaning up artist, album and song names.
Installation
The music-metadata-filter library can be found on PyPI, and is installable with pip:
pip install music-metadata-filter
Usage
Basic example
from music_metadata_filter.functions import remove_remastered
print(remove_remastered("Track Title 1 - Remastered 2015"))
# outputs "Track Title 1 "
print(remove_remastered("Track Title 2 (2011 Remaster)"))
# outputs "Track Title 2 "
Single filter functions
You can call filter functions for basic, one-line filter functionality. These filter functions are intended to be used on a single field, such as an artist, album or track.
However, it is possible (not officially supported) to use some of these on combined fields ("Artist - Song", "Artist - Album"), as in the third example below.
import music_metadata_filter.functions as functions
print(functions.remove_remastered("Jane Doe (Remastered)"))
# outputs "Jane Doe "
print(functions.remove_version("Get Lucky (Album Version)"))
# outputs "Get Lucky "
print(functions.youtube("Car Bomb - Scattered Sprites (Official Music Video)"))
# outputs "Car Bomb - Scattered Sprites"
See functions.py for more details.
Multiple filters
You can also use multiple filters on a string at once by creating a
MetadataFilter
object which combines multiple functions from above,
or by using one of the predefined filter objects.
First, create a filter set. This is a set of rules for artists, albums, tracks, and albumArtists.
import music_metadata_filter.functions as functions
from music_metadata_filter.filter import FilterSet
filter_set: FilterSet = {
"track": (
functions.remove_remastered,
functions.fix_track_suffix,
functions.remove_live,
functions.remove_version,
),
"album": (
functions.remove_remastered,
functions.fix_track_suffix,
functions.remove_live,
),
}
Then, construct a MetadataFilter
using this filter set.
from music_metadata_filter.filter import MetadataFilter
filter = MetadataFilter(filter_set)
print(filter.filter_field("album", "Nevermind (Remastered)"))
# outputs "Nevermind "
print(filter.filter_field("track", "In Bloom - Nevermind Version"))
# outputs "In Bloom (Nevermind Version)"
print(filter.filter_field("track", "Won't Get Fooled Again - Album Version"))
# outputs "Won't Get Fooled Again "
Predefined filters
There are also predefined filters available for easy access. For example, the above filter set is actually the predefined Spotify filter:
from music_metadata_filter.filters import make_spotify_filter
filter = make_spotify_filter()
See filters.py for more details.
Extending filters
Finally, you can take existing MetadataFilter
objects and extend them with another filter.
This is done by providing the .extend()
method with another MetadataFilter
object.
from music_metadata_filter.filters import make_spotify_filter, make_amazon_filter
filter = make_spotify_filter()
filter.extend(make_amazon_filter())
print(filter.filter_field("track", "Seasons in the Abyss (Album Version)"))
# outputs "Seasons in the Abyss "
As an alternative, you can use the .append()
method to apply a filter set to
an existing MetadataFilter
object.
filter = make_spotify_filter()
filter.append({"album": lambda x: f"{x} Album"})
Since these methods return a MetadataFilter
instance, you can chain method calls.
filter = make_spotify_filter().append({
"artist": lambda x: f"{x} The Artist",
})
Development
# Initialise a virtualenv
> python3 -m venv .
> source bin/activate
# Install dev dependencies
> pip install -r requirements-dev.txt
# Run tests
> pytest
# Run black formatter
> black music_metadata_filter tests
# Run flake8 linter
> flake8 music_metadata_filter tests
# Run mypy type checker
> mypy music_metadata_filter tests
# Regenerate regular expressions and test fixtures from upstream
> ./regen.sh
License
Licensed under the MIT License.
Acknowledgements
This library is a (mostly) direct port of the original JS library metadata-filter. Some of the code in this library, including regular expressions and test fixtures, are taken directly from the upstream repository.
I can't thank the web-scrobbler team enough for creating such a fantastic piece of software, and for collaborating with me in the creation of this port to Python.
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