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
hatchling and hatch-vcs are used to create the application metadata and build distribution packages.
These requirements are in addition to the dependencies covered in the installation instructions.
Developers may wish to install hatch or tox to manage running tests.
To run the copy of linkchecker in the local repository first create the metadata in linkcheck/_release.py:
hatchling build -t sdist --hooks-only
Then linkchecker can be run with:
python -m linkcheck
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 -
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*)