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Boilerplate code for BrewBlox Service implementations

There is some boilerplate code involved when creating a Brewblox service. This repository can be forked to avoid having to do the boring configuration.

Everything listed under Required Changes must be done before the package works as intended.

How to use

  • Fork this repository to your own Github account or project.
  • Follow all steps outlined under the various Required Changes.
  • Start coding your service =)
    • To test, run pipenv run pytest


Used to create a distributable and installable Python package. See for more information.

Required Changes:

  • Change the name variable to your project name. This is generally the same as the repository name. This name is used when installing the package through Pip.
    It is common for this name to equal the package name, but using "-" as separator instead of "_".
  • Change the url parameter to the url of your repository.
  • Change the author parameter to your name.
  • Change the author_email parameter to your email.


Developer tools such as Pytest, Flake8, and Autopep8 use this file to find configuration options.

Required Changes:

  • Change --cov=YOUR_PACKAGE to refer to your module name.
  • The --cov-fail-under=100 makes the build fail if code coverage is less than 100%. It is optional, but recommended. Remove the # comment character to enable it.


Project-specific environment variables can be stored here. Pipenv will automatically load it when executing a command in pipenv run.

By default, the names of the Docker and Github repositories are stored here. They are read during the CI build.

Required Changes:

  • Change DOCKER_REPO=you/your-package to match the name of your docker image.
  • Change GITHUB_REPO=you/YOUR-PACKAGE to match the name of your github repository.


Pipenv is used to streamline development. It manages dependencies and virtual environments. It also automatically loads environment variables declared in .env.

Pipfile lists all dependencies. Everything under [packages] is needed for the package to run, while everything under [dev-packages] is needed to run the tests.

You can use pipenv install <package name> or pipenv install --dev <package name> to add dependencies.

Note: There is overlap between the [packages] section in Pipfile, and the install_requires=[] list in The rule of thumb is that if you need an external package to run, you should add it to both.

Required Changes:

  • Install pipenv (run sudo pip3 install pipenv)
  • Update the Pipfile.lock file (run pipenv lock)
  • Install all packages (run pipenv sync -d)

This file lists all non-code files that should be part of the package. See for more info.

For a basic service, you do not need to change anything in this file.


This file contains EditorConfig configuration for this project.
Among other things, it describes per file type whether it uses tabs or spaces.

For a basic service, you do not need to change anything in this file. However, it is recommended to use an editor that recognizes and uses .editorconfig files.

Your module readme (this file). It will be the package description on, and automatically be displayed in Github.

Required Changes:

  • Add all important info about your package here. What does your package do? How do you use it? What is your favorite color?


Your module. The directory name is used when importing your code in Python.

You can find examples for common service actions here.

Required Changes:

  • Rename to the desired module name. This name can't include "-" characters.
    It is common for single-module projects to use "-" as a separator for the project name, and "_" for the module.
    For example: your-package and your_package.
  • Change the import statements in .py files from YOUR_PACKAGE to your package name.


Project-level pytest fixtures. Some useful fixtures for testing any brewblox_service implementation are defined here. See tests in for examples on how to use.

Required Changes:

  • Change the import from YOUR_PACKAGE to your package name.


An example on how to test aiohttp endpoints you added. Feel free to remove this once you no longer need it.


A docker file for running your package. To build, you need to copy the local version of your python package to docker/dist/ first.

The Dockerfiles are set up so both the AMD (desktop) and ARM variants can use the same input files.


python3 sdist

rm docker/dist/*
cp dist/* docker/dist/
pipenv lock --requirements > docker/requirements.txt

docker build \
    --tag your-package:your-version \
    --file docker/amd/Dockerfile \

# run it
docker run your-package:your-version

To cover the most common use cases, the brewblox-dev CLI tool has the localbuild function.

It will read your .env file, run sdist, copy configuration to the docker directory, and build an image. Example:

brewblox-dev localbuild
docker run your-package:local

Explore its other arguments with brewblox-dev --help

Required Changes:

  • Rename instances of YOUR-PACKAGE and YOUR_PACKAGE in the docker file to desired project and package names.


The same as for docker/amd/Dockerfile, but for Raspberry Pi targets.

In order to build for Raspberry, you must also first enable the ARM compiler.


python3 sdist

rm docker/dist/*
cp dist/* docker/dist/
pipenv lock --requirements > docker/requirements.txt

# Enable ARM compiler
docker run --rm --privileged multiarch/qemu-user-static:register --reset

# Build the Raspberry Pi version
docker build \
    --tag your-package:rpi-your-version \
    --file docker/arm/Dockerfile \

# Try to run Raspberry version
# On the desktop, this will fail with "standard_init_linux.go:190: exec user process caused "exec format error""
docker run --detach your-package:rpi-your-version

brewblox-dev localbuild can also generate ARM images. It will automatically enable the QEMU compiler, and prefix the tag with rpi-. To use:

brewblox-dev localbuild --arch arm
docker run your-package:rpi-local

Required Changes:

  • Rename instances of YOUR-PACKAGE and YOUR_PACKAGE in the docker file to desired project and package names.


Azure can automatically test and deploy all commits you push to GitHub. If you haven't enabled Azure Pipelines for your repository: don't worry, it won't do anything.

To deploy your software, you will also need PyPi and Docker Hub accounts.

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