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Update release instructions
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RELEASE.md
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RELEASE.md
@ -9,7 +9,7 @@ This should normally be possible to automate the process at some point.
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Creating a new environment can help avoid pushing local changes and any extra tag.
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```bash
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mamba create -q -y -n jupyterlab-classic-release -c conda-forge twine nodejs -y
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mamba create -q -y -n jupyterlab-classic-release -c conda-forge twine nodejs jupyter-packaging jupyterlab -y
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conda activate jupyterlab-classic-release
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```
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@ -24,16 +24,19 @@ git clean -fdx
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Make sure the `dist/` folder is empty.
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1. Update [jupyterlab_classic/\_version.py](./jupyterlab_classic/_version.py) with the new version number
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2. Run: `python setup.py sdist bdist_wheel`
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3. Double check the size of the bundles in the `dist/` folder
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4. Test the release by installing the wheel or sdist: `python -m pip install ./dist/jupyterlab_classic-0.1.1-py3-none-any.whl
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5. Commit the changes
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2. Commit the changes
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- `git add jupyterlab_classic/_version.py`
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- `git commit -m "Release x.y.z"`
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- `git add jupyterlab_classic/_version.py`
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- `git commit -m "Release x.y.z"`
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3. Bump the frontend packages:
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5. `export TWINE_USERNAME=mypypi_username`
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6. `twine upload dist/*`
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- `jlpm`
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- `jlpm run lerna version x.y.z --no-push --amend --force-publish`
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4. Run: `python setup.py sdist bdist_wheel`
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5. Double check the size of the bundles in the `dist/` folder
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6. Test the release by installing the wheel or sdist: `python -m pip install ./dist/jupyterlab_classic-x.y.z-py3-none-any.whl
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7. `export TWINE_USERNAME=mypypi_username`
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8. `twine upload dist/*`
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## Releasing on conda-forge
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@ -49,9 +52,7 @@ The new version will be available on `conda-forge` soon after.
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## Publish the packages to npm
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1. Bump the version in
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2. `jlpm run lerna version x.y.z --no-push --amend --force-publish`
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3. `jlpm run lerna publish from-package`
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1. Publish the packages: `jlpm run lerna publish from-package`
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## Committing and tagging
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