2.4 KiB
Developing LinkChecker
The following steps describe how to work with the LinkChecker source which can be found on GitHub where development is managed.
This is a technical document, if you are looking for ways to participate in the community, you should rather look into contributing.
Requirements
These requirements are in addition to the dependencies covered in the installation instructions.
Developers will likely want to install hatch.
To run the copy of linkchecker in the local repository:
hatch env remove
hatch run linkchecker
If LinkChecker is already installed, python -m linkcheck will work, but the
metadata of the installed version will be used to e.g. provide the version number.
Workflows using GitHub Actions are used to check every PR, each commit and
regularly the repository HEAD. Developers are able to perform these checks
locally, using flake8 for code style, and run the test suite with tox or
hatch -e test run tests that are both configured to use pytest.
hatchling build creates distributions packages.
Source layout
Important files and directories for developers to be aware of:
.flake8
.gitignore
.yamllint
Dockerfile
pyproject.toml
pytest.ini
robots.txt - test file
tox.ini
.github/ - GitHub automation
cgi-bin/ - WSGI frontend
doc/ - documentation including source for web site and man pages
linkcheck/ - core code and CLI frontend
po/ - application translations
scripts/ - automated IANA schemes updater, analysis tools
tests/
tools/ - build scripts
Release process
-
check whether updated man pages and translations need committing (
make locale; make -C doc locale; make -C doc man) if so create a pull request using the GitHub workflow: "Create a branch with updated man pages and application translations" -
edit
changelog.txtandupgrading.txt, and if applicable the copyright dates inlinkcheck/configuration/__init__.py -
confirm tests have passed
-
submit a pull request
-
create release (vX.Y.Z) on GitHub
-
download Python distribution files from the GitHub release
-
check distribution files (
twine check LinkChecker*) and upload to PyPI (twine upload LinkChecker*)