Skip to content

Latest commit

 

History

History
129 lines (89 loc) · 5.07 KB

CONTRIBUTING.md

File metadata and controls

129 lines (89 loc) · 5.07 KB

Contributing Guidelines

Thank you for your interest in contributing to our project. Whether it's a bug report, new feature, correction, or additional documentation, we greatly value feedback and contributions from our community.

Please read through this document before submitting any issues or pull requests to ensure we have all the necessary information to effectively respond to your bug report or contribution.

Reporting Bugs/Feature Requests

We welcome you to use the GitHub issue tracker to report bugs or suggest features.

When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:

  • A reproducible test case or series of steps
  • The version of our code being used
  • Any modifications you've made relevant to the bug
  • Anything unusual about your environment or deployment

Contributing via Pull Requests

Contributions via pull requests are much appreciated. Before sending us a pull request, please ensure that:

  1. You are working against the latest source on the main branch.
  2. You check existing open, and recently merged, pull requests to make sure someone else hasn't addressed the problem already.
  3. You open an issue to discuss any significant work - we would hate for your time to be wasted.

To send us a pull request, please:

  1. Fork the repository.
  2. Modify the source; please focus on the specific change you are contributing. If you also reformat all the code, it will be hard for us to focus on your change.
  3. Ensure local tests pass.
  4. Commit to your fork using clear commit messages.
  5. Send us a pull request, answering any default questions in the pull request interface.
  6. Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.

GitHub provides additional document on forking a repository and creating a pull request.

Finding contributions to work on

Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels (enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any 'help wanted' issues is a great place to start.

Code of Conduct

This project has adopted the Amazon Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Security issue notifications

If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our vulnerability reporting page. Please do not create a public github issue.

Licensing

See the LICENSE file for our project's licensing. We will ask you to confirm the licensing of your contribution.

Development setup

Pre-requisites

  • Python 3.10 or above (with PIP3 and venv module installed).
  • (Optionally) Open JDK 17 (or above) and Maven 3.5 (or above) if you need to work with Graviton Ready for Java which enables you to scan JAR files for native methods.

Working with Python virtual enviroment

We recommend you work using Python virtual environments to keep the requirements for this project isolated. To enable the virtual environment and install dependencies (assuming your default python interpreter is 3.10):

python3 -m venv .venv
pip3 install -r requirements-build.txt

Debugging

You can point your debugger to src/porting-advisor.py and pass any parameters you want to test with. Here's a sample launch.json file if you are using VS Code:

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Debug on Windows",
            "type": "python",
            "request": "launch",
            "program": "src\\porting-advisor.py",
            "justMyCode": true,
            "args": ["${workspaceRoot}\\sample-projects", "--output", "report.html"]
        },
        {
            "name": "Python: Debug on Linux",
            "type": "python",
            "request": "launch",
            "program": "src/porting-advisor.py",
            "justMyCode": true,
            "args": ["./sample-projects", "--output", "report.html"]
        }
    ]
}

Running tests:

Unit Tests

To run unit tests, simple run:

python3 -m unittest discover -s unittest -p "test_*.

The unit-test.sh script will run the tests and gather coverage information. Then you can display the report using coverage:

./unit-test.sh
coverage report

Full Tests

The test.sh script will run unit tests, generate a binary, and then execute it against the ./sample-projects folder:

./test.sh