Contributing and feedback guidelines¶
There are many ways to contribute to Pelican. You can improve the documentation, add missing features, and fix bugs (or just report them). You can also help out by reviewing and commenting on existing issues.
Don’t hesitate to fork Pelican and submit an issue or pull request on GitHub. When doing so, please consider the following guidelines.
Filing issues¶
Before you submit a new issue, try asking for help first.
If determined to create a new issue, first search Pelican Discussions and existing issues (open and closed) to see if your question has already been answered previously.
How to get help¶
Before you ask for help, please make sure you do the following:
Read the documentation thoroughly. If in a hurry, at least use the search field that is provided at top-left on the documentation pages. Make sure you read the docs for the Pelican version you are using.
Use a search engine (e.g., DuckDuckGo, Google) to search for a solution to your problem. Someone may have already found a solution, perhaps in the form of a ‘plugins or a specific combination of settings.
Try reproducing the issue in a clean environment, ensuring you are using:
latest Pelican release (or an up-to-date Git clone of Pelican
main
branch)latest releases of libraries used by Pelican
no plugins or only those related to the issue
NOTE: The most common sources of problems are anomalies in (1) themes, (2)
plugins, (3) settings files, and (4) make
/invoke
automation wrappers.
If you can’t reproduce your problem when using the following steps to generate
your site, then the problem is almost certainly with one of the above-listed
elements (and not Pelican itself):
cd ~/projects/your-site
git clone https://github.com/getpelican/pelican ~/projects/pelican
pelican content -s ~/projects/pelican/samples/pelican.conf.py -t ~/projects/pelican/pelican/themes/notmyidea
If you can generate your site without problems using the steps above, then your problem is unlikely to be caused by Pelican itself, and therefore please consider reaching out to the maintainers of the plugins/theme you are using instead of raising the topic with the Pelican core community.
If despite the above efforts you still cannot resolve your problem, be sure to include in your inquiry the following information, preferably in the form of links to content uploaded to a paste service, GitHub repository, or other publicly-accessible location:
Describe what version of Pelican you are running (output of
pelican --version
or the HEAD commit hash if you cloned the repo) and how exactly you installed it (the full command you used, e.g.python -m pip install pelican
).If you are looking for a way to get some end result, prepare a detailed description of what the end result should look like (preferably in the form of an image or a mock-up page) and explain in detail what you have done so far to achieve it.
If you are trying to solve some issue, prepare a detailed description of how to reproduce the problem. If the issue cannot be easily reproduced, it cannot be debugged by developers or volunteers. Describe only the minimum steps necessary to reproduce it (no extra plugins, etc.).
Upload your settings file or any other custom code that would enable people to reproduce the problem or to see what you have already tried to achieve the desired end result.
Upload detailed and complete output logs and backtraces (remember to add the
--debug
flag:pelican --debug content [...]
)
Once the above preparation is ready, you can post your query as a new thread in Pelican Discussions. Remember to include all the information you prepared.
Contributing code¶
Before you submit a contribution, please ask whether it is desired so that you don’t spend a lot of time working on something that would be rejected for a known reason. Consider also whether your new feature might be better suited as a ‘plugins — you can ask for help to make that determination.
Also, if you intend to submit a pull request to address something for which there is no existing issue, there is no need to create a new issue and then immediately submit a pull request that closes it. You can submit the pull request by itself.
Using Git and GitHub¶
Create a new branch specific to your change (as opposed to making your commits in the
main
branch).Don’t put multiple unrelated fixes/features in the same branch / pull request. For example, if you’re working on a new feature and find a bugfix that doesn’t require your new feature, make a new distinct branch and pull request for the bugfix. Similarly, any proposed changes to code style formatting should be in a completely separate pull request.
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: minor Reload browser window upon changes to content, settings, or theme
Check for unnecessary whitespace via
git diff --check
before committing.First line of your commit message should start with present-tense verb, be 50 characters or less, and include the relevant issue number(s) if applicable. Example:
Ensure proper PLUGIN_PATH behavior. Refs #428.
If the commit completely fixes an existing bug report, please useFixes #585
orFix #585
syntax (so the relevant issue is automatically closed upon PR merge).After the first line of the commit message, add a blank line and then a more detailed explanation (when relevant).
Squash your commits to eliminate merge commits and ensure a clean and readable commit history.
After you have issued a pull request, the continuous integration (CI) system will run the test suite on all supported Python versions and check for code style compliance. If any of these checks fail, you should fix them. (If tests fail on the CI system but seem to pass locally, ensure that local test runs aren’t skipping any tests.)
Contribution quality standards¶
Adhere to the project’s code style standards. See: Development Environment
Ensure your code is compatible with the officially-supported Python releases.
Add docs and tests for your changes. Undocumented and untested features will not be accepted.
Run all the tests on all versions of Python supported by Pelican to ensure nothing was accidentally broken.
Check out our Git Tips page or ask for help if you need assistance or have any questions about these guidelines.
Setting up the development environment¶
While there are many ways to set up one’s development environment, the following instructions will utilize Pip and PDM. 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 >=3.8.1 is required for Pelican development.
(Optional) If you prefer to install PDM once for use with multiple projects, you can install it via:
curl -sSL https://pdm.fming.dev/install-pdm.py | python3 -
Point your web browser to the Pelican repository 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/pelican.git ~/projects/pelican
cd ~/projects/pelican
git remote add upstream https://github.com/getpelican/pelican.git
While PDM 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 pelican
source ~/virtualenvs/pelican/*/activate
Install the needed dependencies and set up the project:
python -m pip install invoke
invoke setup
Your local environment should now be ready to go!
Development¶
Once Pelican 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 Pelican, its documentation, and/or other aspects of the project.
Setting up git blame
(optional)¶
git blame
annotates lines in a file with information about the pull request
that last modified it. Sweeping shallow changes (like formatting) can make that
information less useful, so we keep a list of such changes to be ignored. Run the
following command to set this up in your repository, adding --global
if you
want this setting to apply to all repositories:
git config blame.ignoreRevsFile .git-blame-ignore-revs
As noted in a useful article about git blame
, there are other related
settings you may find to be beneficial:
# Add `?` to any lines that have had a commit skipped using --ignore-rev
git config --global blame.markIgnoredLines true
# Add `*` to any lines that were added in a skipped commit and can not be attributed
git config --global blame.markUnblamableLines true
Running the test suite¶
Each time you make changes to Pelican, 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 pelican/tests
, and you can run them
via:
invoke tests
(For more on Invoke, see invoke -l
to list tasks, or
https://pyinvoke.org for documentation.)
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 HTML output generated by
Pelican, 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 is a useful tool to automate running tests inside virtualenv
environments.
Running a code coverage report¶
Code is more likely to stay robust if it is tested. Coverage is a library that measures how much of the code is tested. To run it:
invoke coverage
This will show overall coverage, coverage per file, and even line-by-line coverage. There is also an HTML report available:
open htmlcov/index.html
Building the docs¶
If you make changes to the documentation, you should build and inspect your changes before committing them:
invoke docserve
Open http://localhost:8000 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.
Plugin development¶
To create a new Pelican plugin, please refer to the plugin template repository for detailed instructions.
If you want to contribute to an existing Pelican plugin, follow the steps above to set up Pelican for local development, and then create a directory to store cloned plugin repositories:
mkdir -p ~/projects/pelican-plugins
Assuming you wanted to contribute to the Simple Footnotes plugin, you would first browse to the Simple Footnotes repository on GitHub and tap the Fork button at top-right. Then clone the source for your fork and add the upstream project as a Git remote:
git clone https://github.com/YOUR_USERNAME/simple-footnotes.git ~/projects/pelican-plugins/simple-footnotes
cd ~/projects/pelican-plugins/simple-footnotes
git remote add upstream https://github.com/pelican-plugins/simple-footnotes.git
Install the needed dependencies and set up the project:
invoke setup
Create a topic branch for your plugin bug fix or feature:
git checkout -b name-of-your-bugfix-or-feature
After writing new tests for your plugin changes, run the plugin test suite and check for code style compliance via:
invoke tests
invoke lint
If style violations are found, many of them can be addressed automatically via:
invoke format
If style violations are found even after running the above auto-formatters,
you will need to make additional manual changes until invoke lint
no longer
reports any code style violations.
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 Pelican 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))