The AMMOS Instrument Toolkit (Formerly the Bespoke Links to Instruments for Surface and Space (BLISS)) is a Python-based software suite developed to handle Ground Data System (GDS), Electronic Ground Support Equipment (EGSE), commanding, telemetry uplink/downlink, and sequencing for instrument and CubeSat Missions. It is a generalization and expansion of tools developed for a number of ISS missions.
You can read through the Installation and Configuration Page for instruction on how to install AIT Core.
You can read through the New Project Setup Page for instructions on how to use AIT on your next project.
The project's User and Developer Mailing List is the best way to communicate with the team, ask questions, brainstorm plans for future changes, and help contribute to the project.
This project exists thanks to the dedicated users, contributors, committers, and project management committee members. If you'd like to learn more about how the project is organized and how to become a part of the team please check out the Project Structure and Governance documentation.
Thank you for your interest in contributing to AIT! We welcome contributions from people of all backgrounds and disciplines. While much of the focus of our project is software, we believe that many of the most critical contributions come in the form of documentation improvements, asset generation, user testing and feedback, and community involvement. So if you're interested and want to help out please don't hesitate! Send us an email on the public mailing list below, introduce yourself, and join the community.
All project communication happens via mailing lists. Discussions related to development should happen on the public Developer and User Mailing List. If you're new to the community make sure to introduce yourself as well!
As always, we encourage you to install AIT into a virtual environment of your choosing when you set up your development environment. AIT uses poetry for package management. Before setting up your development environment you will need the following installed and ready to use:
- A virtual environment "manager" of your choosing with a configured and activated virtual environment. Since AIT uses poetry you can consider leveraging its environment management functionality as well.
- Using poetry shell is also very convenient for development testing and simplifying environment management. You should make sure to install the package into the shell to get access to the development dependencies as well. It's recommended that you use poetry shell when running the tox builds because other virtual environment managers will often prevent tox from accessing pyenv-installed Python versions.
- pyenv so you can easily install different Python versions
- poetry installed either to your specific virtual environment or system-wide, whichever you prefer.
Install the package in "editable" mode with all the development dependencies by running the following:
poetry install
As with a normal installation you will need to point AIT_CONFIG at the primary configuration file. You should consider saving this in your shell RC file or your virtual environment configuration files so you don't have to reset with every new shell:
export AIT_CONFIG=/path/to/ait-core/config/config.yaml
You should configure pre-commit by running the following. This will install our pre-commit and pre-push hooks:
pre-commit install && pre-commit install -t pre-push
Finally, you should install the different Python versions that the project supports so they're accessible to tox. Using pyenv is the easiest way to accomplish this:
pyenv install
Use tox to run a thorough build of the toolkit that checks test execution across different Python versions, verifies the docs build, runs the linting pipeline, and checks that the repo packages cleanly. Make sure you run tox in Poetry's shell without another virtual environment active to avoid problems with tox finding different python versions for the tests. You can run all of the development tools with:
tox
You can see the available tox test environments by passing -l and execute a specific one by passing its name to -e. Run tox -h for more info.
Use pytest to manually run the test suite:
pytest
Or via tox for a specific python version:
tox -e py310
We run black, flake8, mypy, and a few other minor checkers on the code base. Our linting and code check pipeline is run whenever you commit or push. If you'd like to run it manually you can do so with the following:
pre_commit run --color=always {posargs:--all}
Individual calls to the tools are configured in .pre-commit-config.yaml. If you'd like to run a specific tool on its own you can see how we call them there.
You can run all the linting tools with tox as well:
tox -e lint
AIT uses Sphinx to build its documentation. You can build the documentation with:
poetry run build_sphinx
To view the documentation, open doc/build/html/index.html in a web browser. If you just want to check that the docs build is working you can use tox:
tox -e docs
If you need to update the auto-generated documentation you can run the following command to rebuild all of the package documentation:
sphinx-apidoc --separate --force --no-toc -o doc/source ait ait/core/server/test ait/core/test
Please make sure to update the docs if changes in a ticket result in the documentation being out of date.
All changes need to be made against one or more tickets for tracking purposes. AIT uses GitHub Issues along with Zenhub to track issue in the project. All tickets should have (outside of rare edge-cases):
- A concise title
- An in-depth description of the problem / request. If reporting a bug, the description should include information on how to reproduce the bug. Also include the version of the code where you’re seeing the bug.
If you’re going to begin work on a ticket make sure to progress the ticket through the various Pipeline steps as appropriate as well as assigning yourself as an Assignee. If you lack sufficient permissions to do so you can post on the ticket asking for the above to be done for you.
AIT projects take a fairly standard approach to commit message formatting. You can checkout Tim Pope's blog for a good starting point to figuring out how to format your commit messages. All commit messages should reference a ticket in their title / summary line:
Issue #248 - Show an example commit message title
This makes sure that tickets are updated on GitHub with references to commits that are related to them.
Commit should always be atomic. Keep solutions isolated whenever possible. Filler commits such as "clean up white space" or "fix typo" should be rebased out before making a pull request. Please ensure your commit history is clean and meaningful!
AIT makes a best-effort attempt at sticking with PEP-8 conventions. This is enforced automatically by black and checked by flake8. You should run the pre-commit linting pipeline on any changes you make.
We do our best to make sure that all of our changes are tested. If you're fixing a bug you should always have an accompanying unit test to ensure we don't regress!
Check the Developer Tips section below for information on running each repository's test suite.
All changes should be isolated to a feature branch that links to a ticket. The standard across AIT projects is to use issue-### for branch names where ### is the issue number found on GitHub.
The title of a pull request should include a reference to the ticket being fixed as mentioned for commit messages. The description of a pull request should provide an in-depth explanation of the changes present. Note, if you wrote good commit messages this step should be easy!
Any tickets that are resolved by the pull request should be referenced with GitHub's syntax for closing out tickets. Assuming the above ticket we would have the following in a pull request description:
Changes are required to be reviewed by at least one member of the AIT PMC/Committers groups, tests must pass, and the branch must be up to date with master before changes will be merged. If changes are made as part of code review please ensure your commit history is cleaned up.
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