Klangbecken: The RaBe Endless Music Player

Overview

Klangbecken

Python package Liquidsoap script Codestyle Black

Klangbecken is the minimalistic endless music player for Radio Bern RaBe based on liquidsoap.

It supports configurable and editable playlists, jingle insertion, metadata publishing and more.

It is designed for stand-alone operation, robustness and easy maintainability. All files are stored in a single data directory.

This repository contains three components of the RaBe Klangbecken:

Two additional components are in their own repository:

  • The listener for the current "on air" status, the virtual Sämubox.
  • The web-based UI for playlist editing.

How they interact can be seen in the system overview diagram:

System overview diagram

System requirements

  • Unix-like operating system environment
  • Python (>= v3.7)
    • docopt library for parsing command line arguments
    • Werkzeug library (>= v2.0) for WSGI support
    • PyJWT library (>= v2.0) for creating and verifing JWT authentication tokens
    • mutagen library for audio tag editing
  • ffmpeg binary (>= v2.8) for audio analysis
  • Liquidsoap audio player (v1.3 without inotify support)

Local Setup

Clone the repository

git clone https://github.com/radiorabe/klangbecken.git
cd klangbecken

We strongly recommend to create a virtual environment (see additional tools). E.g.

python -m venv .venv
source .venv/bin/activate

Install dependencies

Install Python dependencies

pip install -r requirements.txt

Install ffmpeg with your system's package manager. E.g.

yum install ffmpeg

Install Liquidsoap (on CentOS 7 you can also use our prebuilt package)

yum install opam
opam init
# we need liquidsoap 1.3.7 which does not run after OCaml 4.07.0
opam switch create klangbecken 4.07.0
opam depext alsa mad lame vorbis taglib liquidsoap.1.3.7
opam install alsa mad lame vorbis taglib liquidsoap.1.3.7
eval $(opam env)

Install the client UI:

cd ..
git clone https://github.com/radiorabe/klangbecken-ui
cd klangbecken-ui
npm install

Run the programs

Initialize the data directory:

python -m klangbecken init

Run the development backend server (API and data directory):

python -m klangbecken serve

Run the client development server (user interface):

cd ../klangbecken-ui
npm run serve

Browse to http://localhost:8080 and start uploading audio files.

Run the liquidsoap audio player:

eval $(opam env)
liquidsoap klangbecken.liq

Manually set the onair status of the player using netcat:

echo "klangbecken.on_air True" | nc -U -w 1 klangbecken.sock

Development

For contributing to this project, fork this repository, and clone your local working copy from your personal fork. Push commits to your repository to create a pull request with your changes.

Python Package

The Python code is tested with a test suite and follows the flake8 coding guidelines.

Before submitting your code you might want to make sure that ...

  1. ... you have installed the test dependencies

    pip install -r requirements-test.txt
  2. ... the test suite runs without failure

    python -m unittest discover
  3. ... all your code is covered by (hopefully) meaningful unit tests

    coverage run -m unittest discover
    coverage report
  4. ... your code follows the coding style guidelines

    flake8

Recommended Tools (optional)

We recommend the use of tox, black and isort for development.

pip install tox black isort
tox

Instead of running all the above commands manually, tox lets you run them all at once for all installed Python versions. Make sure to have at least the Python version installed, that is used in production (currently Python 3.9). tox is also what we use in continuos integration, so using it locally helps you to make your code pass it. To call it simply type:

tox
black

Manually fixing coding style mistakes is a pain. black formats your code automatically.

black .
isort

Finally, isort helps to consistently organize package imports.

isort .

All development tools are preconfigured in setup.cfg. For additional tools and tips & tricks and see additional tools.

Liquidsoap Script

Liquidsoap lets you syntax check and type check your script:

liquidsoap --check klangbecken.liq

Simulation

Apart from type checking, the inherent nature of the liquidsoap language generating a live audio stream makes it difficult to test the code with unit tests. Observing the behavior of the player script and the effects of changes in real-time take lot of time, usually weeks or even months. Accellerated simulation runs help to observe the long-time player behavior in a reasonable amount of time.

Deployment

Your code has passed continuous integration, and your pull request has been accepted. Now you want to deploy your (or somebody else's) code to production. First, some preparation is necessary, but then the deployment script deploy.sh automates most of the work deploying the code.

Preparation before deploying for the first time:

  • Make sure that you have access to the production server (e.g. SSH publik key authentication).
  • Configure a remote prod pointing at the repository on the production system.
    git add remote prod [email protected]_PRODUCTION_VM_NAME:klangbecken.git
  • Optional: Install the Apache development libraries locally. E.g.
    yum install httpd-devel
  • Configure a remote repository upstream pointing at this upstream repository:
    git remote add upstream [email protected]:radiorabe/klangbecken-ui.git
  • Configure git to automatically fetch tags from upstream:
    git config remote.upstream.tagOpt --tags

Preparation before deploying:

  • When deploying both, the front-end and the back-end app, deploy the front-end first.
  • Check again that the code you want to deploy passed continuous integration.
  • Make sure that your working directory is clean, and that you are on the master branch:
    git stash
    git checkout master
  • Bring your code in sync with the latest version from upstream:
    git fetch upstream
    git rebase upstream/master
  • Verify that you are indeed in sync with upstream:
    git show --no-patch

Run the script:

./deploy.sh [--no-mod-wsgi]

It perfoms the following steps:

  • Increment and commit a new version number.
  • Download all run-time dependencies.
  • Optionally download mod_wsgi (Requires httpd-devel libraries to be installed locally. Use --no-mod-wsgi to not reinstall mod_wsgi).
  • Copy the dependencies to production.
  • Push your code to production.
  • Install all dependencies in production.
  • Install the Python package (API and CLI) in production.
  • Reload the web server to load the new API code.
  • Copy the liquidsoap script to it's destination.
  • If everything was successful, tag the current commit with the new version number, and push it to the upstream repository.

Finalize deployment:

  • If the liquidsoap script (klangbecken.liq) changed, restart the liquidsoap player during a "off air" moment:
    systemctl restart [email protected]

For detailed information on how to setup a productive server see Deployment.

License

Klangbecken is released under the terms of the GNU Affero General Public License. Copyright 2017-2021 Radio RaBe. See LICENSE for further information.

Scrap electronic music charts into CSV files

musiccharts A small python script to scrap (electronic) music charts into directories with csv files. Installation Download MusicCharts.exe Run MusicC

Dustin Scharf 1 May 11, 2022
A Python 3 script for capturing and recording a SDR stream to a WAV file (or serving it to a HTTP audio stream).

rfsoapyfile A Python 3 script for capturing and recording a SDR stream to a WAV file (or serving it to a HTTP audio stream). The script is threaded fo

4 Dec 19, 2022
A library for augmenting annotated audio data

muda A library for Musical Data Augmentation. muda package implements annotation-aware musical data augmentation, as described in the muda paper. The

Brian McFee 214 Nov 22, 2022
A Python wrapper around the Soundcloud API

soundcloud-python A friendly wrapper around the Soundcloud API. Installation To install soundcloud-python, simply: pip install soundcloud Or if you'r

SoundCloud 84 Dec 31, 2022
🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.

🎵 A repository for manually annotating files to create labeled acoustic datasets for machine learning.

Jim Schwoebel 28 Dec 22, 2022
Royal Music You can play music and video at a time in vc

Royals-Music Royal Music You can play music and video at a time in vc Commands SOON String STRING_SESSION Deployment 🎖 Credits • 🇸ᴏᴍʏᴀ⃝🇯ᴇᴇᴛ • 🇴ғғɪ

2 Nov 23, 2021
Music bot of # Owner

Pokimane-Music Music bot of # Owner How To Host The easiest way to deploy this Bot Support Channel :- TeamDlt Support Group :- TeamDlt Please fork thi

5 Dec 23, 2022
:sound: Play and Record Sound with Python :snake:

Play and Record Sound with Python This Python module provides bindings for the PortAudio library and a few convenience functions to play and record Nu

spatialaudio.net 750 Dec 31, 2022
BART aids transcribe tasks by taking a source audio file and creating automatic repeated loops, allowing transcribers to listen to fragments multiple times

BART (Beyond Audio Replay Technology) aids transcribe tasks by taking a source audio file and creating automatic repeated loops, allowing transcribers to listen to fragments multiple times (with poss

2 Feb 04, 2022
python wrapper for rubberband

pyrubberband A python wrapper for rubberband. For now, this just provides lightweight wrappers for pitch-shifting and time-stretching. All processing

Brian McFee 106 Nov 28, 2022
Voice package for Pycord adding extra features.

VoiceIO Voice package for Pycord adding extra features. Example Down bellow is an example of what you can currently do. import voiceio process = voic

pycord 1 Dec 24, 2021
Spotify Song Recommendation Program

Spotify-Song-Recommendation-Program Made by Esra Nur Özüm Written in Python The aim of this project was to build a recommendation system that recommen

esra nur özüm 1 Jun 30, 2022
Supysonic is a Python implementation of the Subsonic server API.

Supysonic Supysonic is a Python implementation of the Subsonic server API. Current supported features are: browsing (by folders or tags) streaming of

Alban 228 Nov 19, 2022
Audio augmentations library for PyTorch for audio in the time-domain

Audio augmentations library for PyTorch for audio in the time-domain, with support for stochastic data augmentations as used often in self-supervised / contrastive learning.

Janne 166 Jan 08, 2023
A voice assistant which can handle your everyday task and allows you to book items from your favourite store!

Voicely Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Contact Acknowled

Awantika Nigam 2 Nov 17, 2021
Anaphones are like anagrams, but for sounds.

Anaphones Anaphones are like anagrams but for sounds (phonemes). Examples include: salami-awesomely, atari-tiara, and beefy-phoebe. Anaphones can be a

James Murphy 18 Nov 02, 2022
controls volume using hand gestures

controls volume using hand gestures

1 Oct 11, 2021
Graphical interface to control granular sound synthesis.

Granular sound synthesis interface SoundGrain is a graphical interface where users can draw and edit trajectories to control granular sound synthesis

Olivier Bélanger 122 Dec 10, 2022
Deep learning transformer model that generates unique music sequences.

music-ai Deep learning transformer model that generates unique music sequences. Abstract In 2017, a new state-of-the-art was published for natural lan

xacer 6 Nov 19, 2022
Expressive Digital Signal Processing (DSP) package for Python

AudioLazy Development Last release PyPI status Real-Time Expressive Digital Signal Processing (DSP) Package for Python! Laziness and object representa

Danilo de Jesus da Silva Bellini 642 Dec 26, 2022