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# Contributing

Welcome to `validate-pyproject` contributor’s guide.

This document focuses on getting any potential contributor familiarized with the development processes, but other kinds of contributions are also appreciated.

If you are new to using git or have never collaborated in a project previously, please have a look at contribution-guide.org. Other resources are also listed in the excellent guide created by FreeCodeCamp.

Please notice, all users and contributors are expected to be open, considerate, reasonable, and respectful. When in doubt, Python Software Foundation’s Code of Conduct is a good reference in terms of behavior guidelines.

## Issue Reports

If you experience bugs or general issues with `validate-pyproject`, please have a look on the issue tracker. If you don’t see anything useful there, please feel free to fire an issue report.

Tip

Please don’t forget to include the closed issues in your search. Sometimes a solution was already reported, and the problem is considered solved.

New issue reports should include information about your programming environment (e.g., operating system, Python version) and steps to reproduce the problem. Please try also to simplify the reproduction steps to a very minimal example that still illustrates the problem you are facing. By removing other factors, you help us to identify the root cause of the issue.

## Documentation Improvements

You can help improve `validate-pyproject` docs by making them more readable and coherent, or by adding missing information and correcting mistakes.

`validate-pyproject` documentation uses Sphinx as its main documentation compiler. This means that the docs are kept in the same repository as the project code, in the form of reStructuredText files, and that any documentation update is done in the same way was a code contribution.

Tip

Please notice that the GitHub web interface provides a quick way of propose changes in `validate-pyproject`’s files. While this mechanism can be tricky for normal code contributions, it works perfectly fine for contributing to the docs, and can be quite handy.

If you are interested in trying this method out, please navigate to the `docs` folder in the source repository, find which file you would like to propose changes and click in the little pencil icon at the top, to open GitHub’s code editor. Once you finish editing the file, please write a message in the form at the bottom of the page describing which changes have you made and what are the motivations behind them and submit your proposal.

When working on documentation changes in your local machine, you can compile them using `tox`:

    tox -e docs

and use Python’s built-in web server for a preview in your web browser (`http://localhost:8000`):

    python3 -m http.server --directory 'docs/_build/html'

## Code Contributions

### Understanding how the project works

If you have a change in mind, please have a look in our Developer Guide. It explains the main aspects of the project and provide a brief overview on how it is organised and how to implement Plugins.

### Submit an issue

Before you work on any non-trivial code contribution it’s best to first create a report in the issue tracker to start a discussion on the subject. This often provides additional considerations and avoids unnecessary work.

### Create an environment

Before you start coding, we recommend creating an isolated virtual environment to avoid any problems with your installed Python packages. This can easily be done via either `virtualenv`:

    virtualenv <PATH TO VENV>
    source <PATH TO VENV>/bin/activate

or Miniconda:

    conda create -n validate-pyproject python=3 six virtualenv pytest pytest-cov
    conda activate validate-pyproject

### Clone the repository

1. Create an user account on GitHub if you do not already have one.

2. Fork the project repository: click on the Fork button near the top of the page. This creates a copy of the code under your account on GitHub.

3. Clone this copy to your local disk:

       git clone git@github.com:YourLogin/validate-pyproject.git
       cd validate-pyproject

4. You should run:

       pip install -U pip setuptools -e .

   to be able to import the package under development in the Python REPL.

5. Install `pre-commit`:

       pip install pre-commit
       pre-commit install

   `validate-pyproject` comes with a lot of hooks configured to automatically help the developer to check the code being written.

### Implement your changes

1. Create a branch to hold your changes:

       git checkout -b my-feature

   and start making changes. Never work on the main branch!

2. Start your work on this branch. Don’t forget to add docstrings to new functions, modules and classes, especially if they are part of public APIs.

3. Add yourself to the list of contributors in `AUTHORS.rst`.

4. When you’re done editing, do:

       git add <MODIFIED FILES>
       git commit

   to record your changes in git.

   Please make sure to see the validation messages from `pre-commit` and fix any eventual issues. This should automatically use ruff to check/fix the code style in a way that is compatible with the project.

   Important

   Don’t forget to add unit tests and documentation in case your contribution adds an additional feature and is not just a bugfix.

   Moreover, writing a descriptive commit message is highly recommended. In case of doubt, you can check the commit history with:

       git log --graph --decorate --pretty=oneline --abbrev-commit --all

   to look for recurring communication patterns.

5. Please check that your changes don’t break any unit tests with:

       tox

   (after having installed `tox` with `pip install tox` or `pipx`).

   You can also use `tox` to run several other pre-configured tasks in the repository. Try `tox -av` to see a list of the available checks.

### Submit your contribution

1. If everything works fine, push your local branch to GitHub with:

       git push -u origin my-feature

2. Go to the web page of your fork and click “Create pull request” to send your changes for review.

> Find more detailed information in creating a PR. You might also want to open the PR as a draft first and mark it as ready for review after the feedbacks from the continuous integration (CI) system or any required fixes.

### Troubleshooting

The following tips can be used when facing problems to build or test the package:

1. Make sure to fetch all the tags from the upstream repository. The command `git describe --abbrev=0 --tags` should return the version you are expecting. If you are trying to run CI scripts in a fork repository, make sure to push all the tags. You can also try to remove all the egg files or the complete egg folder, i.e., `.eggs`, as well as the `*.egg-info` folders in the `src` folder or potentially in the root of your project.

2. Sometimes `tox` misses out when new dependencies are added, especially to `setup.cfg` and `docs/requirements.txt`. If you find any problems with missing dependencies when running a command with `tox`, try to recreate the `tox` environment using the `-r` flag. For example, instead of:

       tox -e docs

   Try running:

       tox -r -e docs

3. Make sure to have a reliable `tox` installation that uses the correct Python version (e.g., 3.7+). When in doubt you can run:

       tox --version
       # OR
       which tox

   If you have trouble and are seeing weird errors upon running `tox`, you can also try to create a dedicated virtual environment with a `tox` binary freshly installed. For example:

       virtualenv .venv
       source .venv/bin/activate
       .venv/bin/pip install tox
       .venv/bin/tox -e all

4. Pytest can drop you in an interactive session in the case an error occurs. In order to do that you need to pass a `--pdb` option (for example by running `tox -- -k <NAME OF THE FALLING TEST> --pdb`). You can also setup breakpoints manually instead of using the `--pdb` option.

## Maintainer tasks

### Releases

If you are part of the group of maintainers and have correct user permissions on PyPI, the following steps can be used to release a new version for `validate-pyproject`:

1. Make sure all unit tests are successful.

2. Tag the current commit on the main branch with a release tag, e.g., `v1.2.3`.

3. Push the new tag to the upstream repository, e.g., `git push upstream v1.2.3`

4. Clean up the `dist` and `build` folders with `tox -e clean` (or `rm -rf dist build`) to avoid confusion with old builds and Sphinx docs.

5. Run `tox -e build` and check that the files in `dist` have the correct version (no `.dirty` or git hash) according to the git tag. Also check the sizes of the distributions, if they are too big (e.g., > 500KB), unwanted clutter may have been accidentally included.

6. Run `tox -e publish -- --repository pypi` and check that everything was uploaded to PyPI correctly.