3.8 KiB
Contributing
This section describes how to get your developer workspace running for the first time so that you're ready to start making contributions.
Please fork, branch and pull-request any changes you'd like to make. For more information on how to create a fork, see: Fork a repo - GitHub Docs
Workspace setup
-
Clone your fork of the repository
git clone https://github.com/<your_id>/iotedgedev.git
-
Install Docker
- Windows
- Be sure to check whether you are running in Linux container mode or Windows container mode.
- Linux
- We've seen some issues with docker.io. If IoT Edge doesn't run for you, then try installing Docker CE directly instead of via docker.io. Use the CE install steps, or use the convenience script.
- By default, you need
sudo
to rundocker
commands. If you want to avoid this, please follow the post-installation steps for Linux.
- Windows
-
Setup development environment
There are three options to setup your development environment:
-
Devcontainers: Start the devcontainer from VS Code. See Developing inside a Container for steps on how to do so.
-
Local: Setup the development environment manually. Please follow the Manual Development Machine Setup Wiki.
- Run IoT Edge Dev Tool in editable mode:
Run ›pip install -e .
from the root of the repo to see changes to iotedgedev commands as you change code.
- Run IoT Edge Dev Tool in editable mode:
-
Codespaces: Create a GitHub Codespaces directly from your fork via the GitHub UI.
-
-
Rename
.env.tmp
in the root of the repo to.env
and set theIOTHUB_CONNECTION_STRING
andDEVICE_CONNECTION_STRING
values to settings from your existing IoT Hub and Edge Device. If you don't have these, or want to create new ones, you could runiotedgedev iothub setup
in the root of the repo to setup your resources and fill out the values automatically.
Known Issues
- "iotedgedev command not found": Sometimes the
postCreateCommand
from the container does not get executed and the environment is not correctly initialized. Runpip install -e .
in the root of the repo to fix this.
Run and debug tests
To run and debug the tests individually you can use the VSCode Test Runner UI provided by the Python extension (installed by default in the devcontainer).
An alternative way to debug is to select Python: debug test file
in the Run and debug
tab of vscode, open the test file you'd like to debug and hit F5
.
You can choose one of these following commands to easily run all tests:
# Run all tests with all python interpreters (fails for the ones not installed)
# This is the command that runs in the pipeline for all python versions
make test-all
# Run tests with tox in python version 3.9 (the python version installed in the devcontainer)
tox -e py39
# Run all tests with pytest for python version 3.9 (nicest output, fastest)
make test
It is recommended to run all tests with
tox -e py39
ormake test-all
at least once before making the PR. The pytest test runner environment is slightly different from tox, so some tests may pass with that and not in tox, resulting in failures in the pipeline.