/musicpod

A personal music collection pod, in the same vein as a personal info pod.

Primary LanguagePythonBSD 2-Clause "Simplified" LicenseBSD-2-Clause

Introduction

In this world where corporations own all of your data there is a movement for people to gain control over their data and selectively give access to it. In a similar vein, this project creates a Music Pod -- a repository for your own music collection that is tagged with MusicBrainz IDs.

The Music Pod scans your collection, extracts the metdata, creates a search index and then makes the music available via a private API so that you can access your music collection in whatever tools or web pages you'd like to use them in.

Music Pods could also be created for artists to make their music available to the public and to services like AcousticBrainz that aim to analyze music files.

Current features

So far, this project can scan your music collection, make a SQLite database, find duplicates in your music collection and create a search index. API endpoints expose the metadata, the audio files and a rudimentary search mechanism to search the collection.

Setting up the dev environment

You'll need docker and docker-compose installed to run the music pod. To run the development environment, copy config.py.sample to config.py and edit MUSIC_DIR to point to your MusicBrainz tagged music collection.

Then to start the pod:

./develop.sh build ./develop.sh

This should bring the pod up. Now to initialize the database and search indexes, run:

./manage.sh init-db

Finally, to scan your music collection and to add it to the pod, run:

`./manage.sh scan

That's it you're up and running!

API definition

Search

http://localhost:5000/api/search?q=boards

This returns an array of search hits that looks roughly like:

{

    "artist": "Boards of Canada",
    "artist_mbid": "69158f97-4c07-4c4e-baf8-4e4ab1ed666e",
    "duration": 365450,
    "mbid": "4766bc28-ef32-3d35-ab7a-429acbf072bb",
    "name": "Aquarius",
    "release": "Aquarius",
    "release_mbid": "69158f97-4c07-4c4e-baf8-4e4ab1ed666e",
    "tnum": 1

}

Metadata lookup:

http://localhost:5000/api/recording/e9a1a724-d632-38b9-bf6c-42ec278d6766/metadata

returns the metadata for a track or 404:

{

    "artist_mbid": "69158f97-4c07-4c4e-baf8-4e4ab1ed666e",
    "artist_name": "Boards of Canada",
    "duration": 75266,
    "mbid": "e9a1a724-d632-38b9-bf6c-42ec278d6766",
    "name": "Dandelion",
    "release_mbid": "69158f97-4c07-4c4e-baf8-4e4ab1ed666e",
    "release_name": "Geogaddi",
    "tnum": 5

}

Fetching audio:

localhost:5000/api/recording/e9a1a724-d632-38b9-bf6c-42ec278d6766

returns the audio file or 404.