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HOW_TO_RELEASE
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HOW_TO_RELEASE
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How to issue an xarray release in 15 easy steps
Time required: about an hour.
1. Ensure your master branch is synced to upstream:
git pull upstream master
2. Look over whats-new.rst and the docs. Make sure "What's New" is complete
(check the date!) and add a brief summary note describing the release at the
top.
3. Update the version in setup.py and switch to `ISRELEASED = True`.
4. If you have any doubts, run the full test suite one final time!
py.test
5. On the master branch, commit the release in git:
git commit -a -m 'Release v0.X.Y'
6. Tag the release:
git tag -a v0.X.Y -m 'v0.X.Y'
7. Build source and binary wheels for pypi:
python setup.py bdist_wheel sdist
8. Use twine to register and upload the release on pypi. Be careful, you can't
take this back!
twine register dist/xarray-0.X.Y-py2.py3-none-any.whl
twine upload dist/xarray-0.X.Y*
You will need to be listed as a package owner at
https://pypi.python.org/pypi/xarray for this to work.
9. Push your changes to master:
git push upstream master
git push upstream --tags
9. Update the stable branch (used by ReadTheDocs) and switch back to master:
git checkout stable
git rebase master
git push upstream stable
git checkout master
We also update the stable branch with `git cherrypick` for documentation
only fixes that apply the current released version.
10. Revert ISRELEASED in setup.py back to False. Don't change the version
number: in normal development, we keep the version number in setup.py as the
last releaseld version.
11. Commit your changes and push to master again:
git commit -a -m 'Revert to dev version'
git push upstream master
You're done pushing to master!
12. Issue the release on GitHub. Click on "Draft a new release" at
https://github.com/pydata/xarray/releases and paste in the latest from
whats-new.rst.
13. Update the docs. Login to https://readthedocs.org/projects/xray/versions/
and switch your new release tag (at the bottom) from "Inactive" to "Active".
It should now build automatically.
14. Update conda-forge. Clone https://github.com/conda-forge/xarray-feedstock
and update the version number and sha256 in meta.yaml. (On OS X, you can
calculate sha256 with `shasum -a 256 xarray-0.X.Y.tar.gz`). Submit a pull
request (and merge it, once CI passes).
15. Issue the release announcement! For bug fix releases, I usually only email
[email protected]. For major/feature releases, I will email a broader
list (no more than once every 3-6 months):
Google search will turn up examples of prior release announcements (look for
"ANN xarray").
Note on version numbering:
We follow a rough approximation of semantic version. Only major releases (0.X.0)
show include breaking changes. Minor releases (0.X.Y) are for bug fixes and
backwards compatible new features, but if a sufficient number of new features
have arrived we will issue a major release even if there are no compatibility
breaks.
Once the project reaches a sufficient level of maturity for a 1.0.0 release, we
intend to follow semantic versioning more strictly.