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radiorabe/klangbecken

Klangbecken

Python package Liquidsoap script Code Style 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 good maintainability. All data is stored in common files in a single data directory.

This repository contains three components of the RaBe Klangbecken:

Two additional components are in their own repository:

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

System overview diagram

System requirements

  • Unix-like operating system environment
  • Python (>= v3.9)
    • docopt library for parsing command line arguments
    • Werkzeug library (>= v2.0) for WSGI support
    • PyJWT library (>= v2.0) for creating and verifying 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

Fork this repository and clone it from there:

git clone https://github.com/YOUR-GITHUB-USERNAME/klangbecken.git
cd klangbecken

Create a virtual environment (also see additional tools):

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 (Note: 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 back-end 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 on-air 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 pull requests 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. Accelerated 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 preparations are necessary, but then the deployment script deploy.sh automates most of the work deploying the code.

Preparations 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 root@YOUR_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 the 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 performs 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 skip this step).
  • 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 an "off air" moment:
    systemctl restart liquidsoap@klangbecken

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 2017-2022 Radio Bern RaBe. See LICENSE for further information.