suisa_sendemeldung 1.0.0a3

ACRCloud client for SUISA reporting

suisa_sendemeldung

ACRCloud client that fetches data on our playout history and formats them in a CSV file format containing the data (like Track, Title and ISRC) requested by SUISA. Also takes care of sending the report to SUISA via email for hands-off operations.

Usage

We provide the SUISA Sendmeldung script as a container image or as a python package.

These usage instructions show how to install the script and how to configure it. There are different ways to run it at a schedule. We recommend using systemd-timers.

To output the scripts usage information, check out it's --help output:

# Using Podman
podman run --rm -ti ghcr.io/radiorabe/suisasendemeldung:latest suisa_sendemeldung --help

# Using Docker
docker run --rm -ti ghcr.io/radiorabe/suisasendemeldung:latest suisa_sendemeldung --help

While we recommend running the script in it's container, you can also install the script in any python environment using pip.

We recommend using a dedicated venv for running the script should you go down this route:

python -mvenv .venv
. venv/bin/activate

pip install suisa_sendemeldung

# Output usage after installation
suisa_sendemeldung

Configuration

You can configure this script with a configuration file (default is suisa_sendemeldung.conf), environment variables, or command line arguments.

Command line arguments override environment variables which themselves override settings in the configuration file.

Configuration file

The configuration files will be evaluated in the following order (last takes precedence over first):

1. /etc/suisa_sendemeldung.toml
2. $HOME/suisa_sendemeldung.toml
3. ./suisa_sendemeldung.toml

For details on how to set configuration values, have a look at suisa_sendemeldung.conf.

Environment variables

Environment variables can also be passed as options. The relevant variables are listed in the Usage part of this document. For example run the script as follows:

podman run --rm -ti -e SENDEMELDUNG_ACR_BEARER_TOKEN=abcdefghijklmnopqrstuvwxyzabcdef -e SENDEMELDUNG_ACR_STREAM_ID=a-bcdefgh -e SENDEMELDUNG_OUTPUT=stdout ghcr.io/radiorabe/suisasendemeldung:latest suisa_sendemeldung

Command line switches

As documented in Usage, you can also pass in options on the command line as arguments. Simply run the script as follows:

podman run --rm -ti ghcr.io/radiorabe/suisasendemeldung:latest suisa_sendemeldung --acr-bearer-token=abcdefghijklmnopqrstuvwxyzabcdef --acr-stream-id=a-bcdefgh --output=stdout

Development

Snapshot testing is used to test the help output, you can update the snapshots like so:

poetry run pytest -- --snapshot-update

Release Management

At RaBe we run the script on the first and 14th of each month. Matching this we only release new versions of the script in the second half of each month.

The CI/CD setup uses semantic commit messages following the conventional commits standard. There is a GitHub Action in .github/workflows/semantic-release.yaml that uses go-semantic-commit to create new releases.

The commit message should be structured as follows:

<type>[optional scope]: <description>

[optional body]

[optional footer(s)]

The commit contains the following structural elements, to communicate intent to the consumers of your library:

1. fix: a commit of the type fix patches gets released with a PATCH version bump
2. feat: a commit of the type feat gets released as a MINOR version bump
3. BREAKING CHANGE: a commit that has a footer BREAKING CHANGE: gets released as a MAJOR version bump
4. types other than fix: and feat: are allowed and don't trigger a release

If a commit does not contain a conventional commit style message you can fix it during the squash and merge operation on the PR.

Once a commit has landed on the main branch a release will be created and automatically published to pypi using the GitHub Action in .github/workflows/release.yaml which uses twine to publish the package to pypi. The release.yaml action also takes care of pushing a container image to GitHub Packages.