Contributing#
Checkout github repository#
this is just a suggestion, feel free to work with VScode or any other git-compatible workflow
download git from git-scm.com, install with default settings
open git bash window where you want to clone the github repository (e.g.
C:\DATA\
)git clone https://github.com/deltares-research/kenmerkendewaarden
(creates a local clone of the repository in a folder called kenmerkendewaarden)cd kenmerkendewaarden
optional:
git config --global user.email [emailaddress]
optional:
git config --global user.name [username]
Setup local developer environment#
download Miniforge3 from the miniforge github and install it with the recommended settings.
open Miniforge Prompt and navigate to the local checkout folder of the repository
conda create --name kw_env python=3.11 git spyder -y
(git
andspyder
are optional)conda activate kw_env
python -m pip install -e .[dev,docs,examples]
(pip developer mode, any updates to the local folder are immediately available in your python. It also installs all requirements via pip, square brackets are to install optional dependency groups)conda deactivate
to remove the environment when necessary:
conda remove -n kw_env --all
Add your contributions#
open an existing issue or create a new issue at Deltares/kenmerkendewaarden#issues
create a branch via
Development
on the right. This branch is now linked to the issue and the issue will be closed once the branch is merged with main again via a PR.open git bash window in the local checkout folder of the repository
git fetch origin
followed bygit checkout [branchname]
make your local changes to the code (including docstrings and unittests for functions), after each subtask do
git commit -am 'description of what you did'
(-am
adds all changed files to the commit)check if all edits were committed with
git status
, if there are new files created also dogit add [path-to-file]
and commit againgit push
to push your committed changes your branch on githubopen a pull request at the branch on github, there you can see what you just pushed and the automated checks will show up (testbank and code quality analysis).
optionally make additional local changes (+commit+push) untill you are done with the issue and the automated checks have passed
update/add the docstring if you work on public functions, it will end up in the html documentation
add tests to make sure your code does what you expect, this is automatically tested on github for several python/package versions.
check if there are no conflics, this can often be avoided by working in not too many files at the same time, so by making issues+PRs of each significant subtask.
update
docs/whats-new.md
if there are any changes that are relevant to users (added features or bug fixes)request a review on the pull request
after review, squash+merge the branch into main (with cleaned up commit messages)
Running the testbank#
open Miniforge Prompt and navigate to the local checkout folder of the repository
conda activate kw_env
pytest
(runs all tests)the pytest testbank also runs automatically on Github for every PR (for different python versions and package versions)
Generate html documentation#
open Miniforge Prompt and navigate to the local checkout folder of the repository
conda activate kw_env
sphinx-build docs docs/_build
the documentation is also automatically updated upon every push/merge to the main branch
Increase the version number#
commit all changes via git
open Miniforge Prompt and navigate to the local checkout folder of the repository
conda activate kw_env
bumpversion major
orbumpversion minor
orbumpversion patch
the version number of all relevant files will be updated, as stated in setup.cfg
Create release#
make sure the
main
branch is up to date (important issues solved, all pullrequests and branches closed)bump the versionnumber with
bumpversion minor
update
docs/whats-new.md
and add a date to the current release headingrun local testbank
local check with:
python -m build
andtwine check dist/*
(does not work on WCF)copy the kenmerkendewaarden version from pyproject.toml (e.g.
0.3.0
)create a new release
click
choose a tag
and type v+versionnumber (e.g.v0.3.0
), clickcreate new tag: v0.11.0 on publish
set the release title to the tagname (e.g.
v0.3.0
)click
Generate release notes
and replace theWhat's Changed
info by a tagged link todocs/whats-new.md
if all is set, click
Publish release
a release is created and the github action publishes it on PyPI