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Contributing to Holistic Trace Analysis

We want to make contributing to this project as easy and transparent as possible.

Our Development Process

Minor changes and improvements will be released on an ongoing basis. Larger changes will be released on a more periodic basis.

Pull Requests

We actively welcome your pull requests.

  1. Clone the repo and create your branch from main.
  2. If you've added code that should be tested, add tests.
  3. If you've changed APIs, update the documentation.
  4. Ensure the test suite passes.
  5. Make sure your code passes static analysis (see below).
  6. If you haven't already, complete the Contributor License Agreement ("CLA").

Contributor License Agreement ("CLA")

In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Meta's open source projects.

Complete your CLA here: https://code.facebook.com/cla

Issues

We use GitHub issues to track public bugs. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue.

Meta has a bounty program for the safe disclosure of security bugs. In those cases, please go through the process outlined on that page and do not file a public issue.

Environment Setup

conda create -n myenv
conda activate myenv
$ cd /path/to/HolisticTraceAnalysis
$ pip install -r requirements.txt

Coding Style

  • We follow the PEP8 style guide.
  • Please setup pre-commit before opening up your PR.

Pre-Commit (Recommended)

We use pre-commit to maintain the coding style. Pre-Commit checks are run via Github Actions on every commit. To install all the relevant libraries and run the pre-commit tests locally, execute the following commands:

pip install -e .
pip install pre-commit
pre-commit install

After the above, your git commit command will automatically trigger pre-commit checks.

Testing

Holistic Trace Analysis is tested on the following python versions: 3.8, 3.9, 3.10, 3.11.

Unit tests

To run the entire test suite

python3 -m unittest -v
# OR using pytest
pytest tests

To run a specific test

Use python3 -m unittest -v moduleName.fileName.className.testName. E.g. To run test_sort_events in the CallStackTestCase class in test_call_stack.py, use the following command:

python3 -m unittest -v tests.test_call_stack.CallStackTestCase.test_sort_events
# OR using pytest
pytest tests -k test_sort_events
# OR using pytest with the exact file
pytest tests/test_call_stack.py -k test_sort_events

Note, all our tests are written using unittest module, so use of pytest is primarily for a better test runner and support in the CI.

CircleCI status

The build status on the main branch is visible on the repository homepage. CircleCI status of your branch is visible on the PR page.

License

By contributing to Holistic Trace Analysis, you agree that your contributions will be licensed under the LICENSE file in the root directory of this repository.