Contributing and feedback guidelines

There are many ways to contribute to Gemican. You can improve the documentation, add missing features, test existing features that may have been broken in the conversion to dealiing with gemini, and fix bugs (or just report them). You can also help out by reviewing and commenting on existing issues[1].

Don't hesitate to fork Gemican and submit an issue or pull request on GitHub.

Contact

Feel free to contact me (Kevin) if you have feedback or questions. The other authors listed in this documentation and elsewhere are the Pelican developers and don't know anything about Gemican specifically.

Email      kevin at crimsoncookie.com
Matrix     @hyperlink_your_heart:matrix.org
Discord    Hyperlink Your Heart#1390

Setting up the development environment

While there are many ways to set up one's development environment, the following instructions will utilize Pip[2] and Poetry[3]. These tools facilitate managing virtual environments for separate Python projects that are isolated from one another, so you can use different packages (and package versions) for each.

Please note that Python 3.6+ is required for Gemican development.

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

Point your web browser to the Gemican repository[4] and tap the **Fork** button at top-right. Then clone the source for your fork and add the upstream project as a Git remote:

mkdir ~/projects
git clone https://github.com/YOUR_USERNAME/gemican.git ~/projects/gemican
cd ~/projects/gemican
git remote add upstream https://github.com/khoulihan/gemican.git

While Poetry can dynamically create and manage virtual environments, we're going to manually create and activate a virtual environment:

mkdir ~/virtualenvs && cd ~/virtualenvs
python3 -m venv gemican
source ~/virtualenvs/gemican/*/activate

Install the needed dependencies and set up the project:

python -m pip install invoke
invoke setup
python -m pip install -e ~/projects/gemican

Your local environment should now be ready to go!

Development

Once Gemican has been set up for local development, create a topic branch for your bug fix or feature:

git checkout -b name-of-your-bugfix-or-feature

Now you can make changes to Gemican, its documentation, and/or other aspects of the project.

Running the test suite

Each time you make changes to Gemican, there are two things to do regarding tests: check that the existing tests pass, and add tests for any new features or bug fixes. The tests are located in `gemican/tests`, and you can run them via:

invoke tests

In addition to running the test suite, it is important to also ensure that any lines you changed conform to code style guidelines. You can check that via:

invoke lint

If code style violations are found in lines you changed, correct those lines and re-run the above lint command until they have all been fixed. You do not need to address style violations, if any, for code lines you did not touch.

After making your changes and running the tests, you may see a test failure mentioning that "some generated files differ from the expected functional tests output." If you have made changes that affect the output generated by Gemican, and the changes to that output are expected and deemed correct given the nature of your changes, then you should update the output used by the functional tests. To do so, make sure you have both `en_EN.utf8` and `fr_FR.utf8` locales installed, and then run the following command:

invoke update-functional-tests

You may also find that some tests are skipped because some dependency (e.g., Pandoc) is not installed. This does not automatically mean that these tests have passed; you should at least verify that any skipped tests are not affected by your changes.

You should run the test suite under each of the supported versions of Python. This is best done by creating a separate Python environment for each version. Tox[5] is a useful tool to automate running tests inside `virtualenv` environments.

Building the docs

If you make changes to the documentation, you should build and inspect your changes before committing them:

invoke docserve

Open gemini://localhost:1966 in your browser to review the documentation. While the above task is running, any changes you make and save to the documentation should automatically appear in the browser, as it live-reloads when it detects changes to the documentation source files.

Submitting your changes

Assuming linting validation and tests pass, add a `RELEASE.md` file in the root of the project that contains the release type (major, minor, patch) and a summary of the changes that will be used as the release changelog entry. For example:

Release type: patch

Fix browser reloading upon changes to content, settings, or theme

Commit your changes and push your topic branch:

git add .
git commit -m "Your detailed description of your changes"
git push origin name-of-your-bugfix-or-feature

Finally, browse to your repository fork on GitHub and submit a pull request.

Logging tips

Try to use logging with appropriate levels.

For logging messages that are not repeated, use the usual Python way:

# at top of file
import logging
logger = logging.getLogger(__name__)

# when needed
logger.warning("A warning with %s formatting", arg_to_be_formatted)

Do not format log messages yourself. Use `%s` formatting in messages and pass arguments to logger. This is important, because the Gemican logger will preprocess some arguments, such as exceptions.

Limiting extraneous log messages

If the log message can occur several times, you may want to limit the log to prevent flooding. In order to do that, use the `extra` keyword argument for the logging message in the following format:

logger.warning("A warning with %s formatting", arg_to_be_formatted,
    extra={'limit_msg': 'A generic message for too many warnings'})

Optionally, you can also set `'limit_args'` as a tuple of arguments in `extra` dict if your generic message needs formatting.

Limit is set to `5`, i.e, first four logs with the same `'limit_msg'` are outputted normally but the fifth one will be logged using `'limit_msg'` (and `'limit_args'` if present). After the fifth, corresponding log messages will be ignored.

For example, if you want to log missing resources, use the following code:

for resource in resources:
    if resource.is_missing:
        logger.warning(
            'The resource %s is missing', resource.name,
            extra={'limit_msg': 'Other resources were missing'})

The log messages will be displayed as follows:

WARNING: The resource prettiest_cat.jpg is missing
WARNING: The resource best_cat_ever.jpg is missing
WARNING: The resource cutest_cat.jpg is missing
WARNING: The resource lolcat.jpg is missing
WARNING: Other resources were missing

Outputting traceback in the logs

If you're logging inside an `except` block, you may want to provide the traceback information as well. You can do that by setting `exc_info` keyword argument to `True` during logging. However, doing so by default can be undesired because tracebacks are long and can be confusing to regular users. Try to limit them to `--debug` mode like the following:

try:
    some_action()
except Exception as e:
    logger.error('Exception occurred: %s', e,
        exc_info=settings.get('DEBUG', False))

1: https://github.com/khoulihan/gemican/issues

2: https://pip.pypa.io/

3: https://poetry.eustace.io/docs/#installation

4: https://github.com/khoulihan/gemican

5: https://tox.readthedocs.io/en/latest/

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