If you're looking for user documentation, go here.
# Create a virtual environment, e.g. with
python3 -m venv env
# activate virtual environment
source env/bin/activate
# make sure to have a recent version of pip and hatch
python3 -m pip install --upgrade pip hatch
# (from the project root directory)
# install s2spy as an editable package
python3 -m pip install --no-cache-dir --editable .
# install development dependencies
python3 -m pip install --no-cache-dir --editable .[dev]
Afterwards check that the install directory is present in the PATH
environment variable.
Running tests has been configured using hatch
, and can be started by running:
hatch run test
The second is to use tox
, which can be installed separately (e.g. with pip install tox
), i.e. not necessarily inside the virtual environment you use for installing s2spy
, but then builds the necessary virtual environments itself by simply running:
In addition to just running the tests to see if they pass, they can be used for coverage statistics, i.e. to determine how much of the package's code is actually executed during tests. Inside the package directory, run:
hatch run coverage
This runs tests and prints the results to the command line, as well as storing the result in a coverage.xml
file (for analysis by, e.g. SonarCloud).
For linting we will use flake8
, black
and isort
. We additionally use mypy
to check the type hints.
All tools can simply be run by doing:
hatch run lint
To easily comply with black
and isort
, you can also run:
hatch run format
This will apply the black
and isort
formatting, and then check the code style.
To generate the documentation, simply run the following command. This will also test the documentation code snippets. Note that you might need to install pandoc
to be able to generate the documentation.
hatch run docs:build
The documentation will be in docs/_build/html
.
Bumping the version across all files is done with bumpversion, e.g.
bumpversion major
bumpversion minor
bumpversion patch
This section describes how to make a release in 3 parts: preparation, release and validation.
- Update the <CHANGELOG.md> (don't forget to update links at bottom of page)
- Verify that the information in
CITATION.cff
is correct, and that.zenodo.json
contains equivalent data - Make sure the version has been updated.
- Run the unit tests with
hatch run test
Make a release and tag on GitHub.com. This will:
- trigger Zenodo into making a snapshot of your repository and sticking a DOI on it.
- start a GitHub action that builds and uploads the new version to PyPI.
- Which should trigger conda-forge to update the package as well.
After making the release, you should check that:
- The Zenodo page is updated
- The publishing action ran successfully, and that
pip install s2spy
installs the new version. - The conda-forge package is updated, and can be installed using conda.