The On-board Artificial Intelligence Research (OnAIR) Platform

The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment.

Generating environment

Create a conda environment with the necessary packages

conda create --name onair --file requirements_pip.txt

Running unit tests

Instructions on how to run unit tests for OnAIR

Required python installs:

pytest, pytest-mock, coverage

Optional python install:

pytest-randomly

Running the unit tests from the driver.py file

From the parent directory of your local repository:

python driver.py -t

Running pytest directly from command line

For the equivalent of the driver.py run:

python -m coverage run --branch --source=onair -m pytest ./test/

Command breakdown:

python -m - invokes the python runtime on the library following the -m

coverage run - runs coverage data collection during testing, wrapping itself on the test runner used

--branch - includes code branching information in the coverage report

--source=onair - tells coverage where the code under test exists for reporting line hits

-m pytest - tells coverage what test runner (framework) to wrap

./test - run all tests found in this directory and subdirectories

A few optional settings

Options that may be added to the command line test run. Use these at your own discretion.

--disable-warnings - removes the warning reports, but displays count (i.e., 124 passed, 1 warning in 0.65s)

-p no:randomly - ONLY required to stop random order testing IFF pytest-randomly installed

To view testing line coverage after run:

NOTE: you may or may not need the python -m to run coverage report or html

coverage report - prints basic results in terminal

or

coverage html - creates htmlcov/index.html, automatic when using driver.py for testing

then

<browser_here> htmlcov/index.html - browsable coverage (i.e., firefox htmlcov/index.html)

License and Copyright

Please refer to NOSA GSC-19165-1 OnAIR.pdf and COPYRIGHT.

Contributions

Please open an issue if you find any problems. We are a small team, but will try to respond in a timely fashion.

If you would like to contribute code, GREAT! First you will need to complete the Individual Contributor License Agreement (pdf) and email it to gsfc-softwarerequest@mail.nasa.gov with james.marshall-1@nasa.gov CCed.

Next, please create an issue for the fix or feature and note that you intend to work on it. Fork the repository and create a branch with a name that starts with the issue number. Once done, submit your pull request and we'll take a look. You may want to make draft pull requests to solicit feedback on larger changes.