Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/dj-paddle/dj-paddle/issues.
If you are reporting a bug, please include:
- The version of python and Django you're running
- Detailed steps to reproduce the bug.
Look through the GitHub issues for bugs. Anything tagged with "bug" is open to whoever wants to implement it.
Look through the GitHub issues for features. Anything tagged with "feature" is open to whoever wants to implement it.
dj-paddle could always use more documentation, whether as part of the official dj-paddle docs, in docstrings, or even on the web in blog posts, articles, and such.
If you are adding to dj-paddle's documentation, you can see your changes by
running tox -e docs
. The documentation will be generated in the docs/
directory, and you can open docs/_build/html/index.html
in a web browser.
The best way to send feedback is to file an issue at https://github.com/dj-paddle/dj-paddle/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
For questions regarding contributions to dj-paddle, another avenue is our Discord channel at https://discord.gg/UJY8fcc.
Ready to contribute? Here's how to set up dj-paddle for local development.
Fork the dj-paddle repo on GitHub.
Clone your fork locally:
$ git clone [email protected]:your_name_here/dj-paddle.git
Set up your test database. If you're running tests using PostgreSQL:
$ createdb djpaddle
or if you want to test vs sqlite (for convenience) or MySQL, they can be selected by setting this environment variable:
$ export DJPADDLE_TEST_DB_VENDOR=sqlite
or
$ export DJPADDLE_TEST_DB_VENDOR=mysql
For postgres and mysql, the database host,port,username and password can be set with environment variables, see
tests/settings.py
Install your local copy into a virtualenv. Assuming you have
virtualenvwrapper
installed, this is how you set up your fork for local development:$ mkvirtualenv dj-paddle $ cd dj-paddle/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you're done making changes, check that your changes pass the tests. A quick test run can be done as follows:
$ pip install pytest-django pytest-cov pytz $ DJPADDLE_TEST_DB_VENDOR=sqlite pytest --reuse-db
You should also check that the tests pass with other python and Django versions with tox. pytest will output both command line and html coverage statistics and will warn you if your changes caused code coverage to drop.:
$ pip install tox $ tox
If your changes altered the models you may need to generate Django migrations:
$ DJPADDLE_TEST_DB_VENDOR=sqlite ./manage.py makemigrations
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Congratulations, you're now a dj-paddle contributor! Have some <3 from us.
A fixture for each of the Paddle webhook alerts have been placed at tests/webhooks/fixtures/<alert_type>.txt. These fixtures were generated from the output of the Webhook Alert Testing page - https://vendors.paddle.com/webhook-alert-test
Please check the data before using it in a test if it has not been used before. It appears this Paddle features has some bugs and does not always set the sample data to a valid value. For example, according to https://paddle.com/docs/reference-using-webhooks/ the marketing_consent field can be either 0 or 1 but the sample data tool sent an empty value.
Migrations are considered a breaking change, so it's not usually not acceptable to add a migration to a stable branch,
it will be a new MAJOR.MINOR.0
release.
A workaround to this in the case that the Paddle API data isn't compatible with out model (eg Paddle is sending null
to a non-null field)
is to implement the _manipulate_paddle_object_hook
classmethod on the model.
If a code change produces a migration that doesn't alter the database schema (eg changing help_text
) then instead of
adding a new migration you can edit the most recent migration that affects the field in question.
e.g.: https://github.com/dj-paddle/dj-paddle/commit/e2762c38918a90f00c42ecf21187a920bd3a2087
We aim to keep the number of migration files per release to a minimum per MINOR
release.
In the case where there are several unreleased migrations on master between releases, we squash migrations immediately before release.
So if you're using the master branch with unreleased migrations, ensure you migrate with the squashed migration before upgrading to the next major release.
For more details see the :ref:`squash_migrations` section of the Release process.
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- The pull request must not drop code coverage below the current level.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring.
- If the pull request makes changes to a model, include Django migrations.
- The pull request should work for Python 3.6+. Check https://travis-ci.org/dj-paddle/dj-paddle/pull_requests and make sure that the tests pass for all supported Python versions.
- Code formatting: Make sure to install
black
andisort
withpip install black isort
and runblack .; isort -y
at the dj-paddle root to keep a consistent style.