Jupyter Releaser for Python and/or npm packages.
Project description
Jupyter Releaser
** Experimental! **
Jupyter Releaser contains a set of helper scripts and GitHub Actions to aid in automated releases of Python and npm packages.
Motivation
This project should help maintainers reduce toil and save time in the release process by enforcing best practices to:
- Automate a changelog for every release
- Pre-publish to test server and verify the install and import of dist asset(s)
- Commit a message with hashes of dist file(s)
- Annotate the git tag in standard format
- Create a GitHub release with changelog entry
- Verify url links in markdown and reStructuredText files
- Verify integrity of Python manifest
- Forward port changelog entries into default branch
- Dry run publish on CI
- Revert to Dev version after release (optional)
Prerequisites
See checklist below for details:
- Markdown changelog
- Bump version configuration (if using Python), for example tbump
- Access token with access to target GitHub repo to run GitHub Actions.
- Access token for the PyPI registry
- If needed, access token for npm.
Typical Workflow
When ready to make a release:
- Fork the
jupyter-releaserrepo and go to the Actions panel - Select the
Draft Changelogworkflow - Run the workflow with the version spec (usually the new version number). If making a final release after a prerelease series, you may wish to use the "until" parameter to include all the PRs since the last final release.
- When the run completes, review the changelog PR that was opened and make any desired edits.
- Merge the PR
- Return to the Actions panel in the
jupyter-releaserfork - Select the
Draft Releaseworkflow
- Run the workflow with the same version spec as before, and optionally, a post version spec if you want to go back to a dev version in the target branch. Make sure to use the same "until" parameter used in "Draft Changelog", if applicable.
- When the workflow completes, go to the releases page in the target repository and verify that the new draft release is there with the correct changelog and dist files.
- Copy the url of the draft release.
- Run the
Publish Releaseworkflow from thejupyter-releaserfork.
- If the release was on a backport branch, a forward port PR will have been opened against the default branch with the new changelog entry. Review and merge this PR.
Installation
To install the latest release locally, make sure you have pip installed and run:
pip install git+https://github.com/jupyter-server/jupyter-releaser
Library Usage
jupyter-releaser --help
jupyter-releaser build-python --help
jupyter-releaser check-links --help
Configuration
Command Options and Environment Variables
All of the commands support CLI and Environment Variable Overrides.
The environment variables are defined by the envvar parameters in the
command options in cli.py. The environment variables unique to
jupyter-releaser are prefixed with RH_. A list of all env variables can be seen
by running jupyter-releaser list-envvars.
Default Values, Options, Skip, and Hooks
The default values can also be overriden using a config file.
Options can be overridden using the options section.
You can skip one or more commands using a skip section, which is a list of
commands to skip.
You can also define hooks to run before and after
commands in a hooks section. Hooks can be a shell command to run or
a list of shell commands, and are specified to run before- or after-
a command.
Note: the only invalid hook name is before-prep-git, since a checkout of the target repository is not yet available at that point.
Configuration File Priority
This is where jupyter-releaser looks for configuration (first one found is used):
.jupyter-releaser.toml
pyproject.toml (in the tools.jupyter-releaser section )
package.json (in the jupyter-releaser property)
Example .jupyter-releaser.toml:
[options]
dist_dir = "mydist"
skip = ["check-links"]
[hooks]
before-tag-version = "npm run pre:tag:script"
Example pyproject.toml section:
[tools.jupyter-releaser.options]
dist_dir = "mydist"
[tools.jupyter-releaser]
skip = ["check-links"]
[tools.jupyter-releaser.hooks]
after-build-python = ["python scripts/cleanup.py", "python scripts/send_email.py"]
Example package.json:
{
"name": "my-package",
"jupyter-releaser": {
"options": {
"dist_dir": "mydist"
},
"skip": ["check-manifest"],
"hooks": {
"before-publish-dist": "npm run pre:publish:dist"
}
}
}
Checklist for Adoption
A. Prep the jupyter_releaser fork:
- Clone this repository onto your GitHub user account.
- Add a GitHub Access token with access to target GitHub repo to run GitHub Actions, saved as
ADMIN_GITHUB_TOKENin the repository secrets. - Add access token for the PyPI registry stored as
PYPI_TOKEN. Note For security reasons, it is recommended that you scope the access to a single repository, and update the value ofPYPI_TOKENfor each repository that you are releasing. - If needed, add access token for npm, saved as
NPM_TOKEN.
B. Prep target repository:
- Switch to Markdown Changelog
- We recommend MyST, especially if some of your docs are in reStructuredText.
- Can use
pandoc -s changelog.rst -o changelog.mdand some hand edits as needed. - Note that directives can still be used
- Add HTML start and end comment markers to Changelog file - see example in CHANGELOG.md (view in raw mode)
- Add tbump support if using Python - see example metadata in pyproject.toml
import re
# Version string must appear intact for tbump versioning
__version__ = '1.4.0.dev0'
# Build up version_info tuple for backwards compatibility
pattern = r'(?P<major>\d+).(?P<minor>\d+).(?P<patch>\d+)(?P<rest>.*)'
match = re.match(pattern, __version__)
parts = [int(match[part]) for part in ['major', 'minor', 'patch']]
if match['rest']:
parts.append(match['rest'])
version_info = tuple(parts)
- Add a GitHub Actions CI step to run the
check_releaseaction. For example:
- name: Check Release
if: ${{ matrix.python-version == '3.9' }}
uses: jupyter-server/jupyter_releaser/.github/actions/check-release@v1
with:
token: ${{ secrets.GITHUB_TOKEN }}
Note The check release action needs contents: write permission.
- Update or add
RELEASE.mdthat describes the onboarding and release process, e.g.
# Release Workflow
- [ ] Set up a fork of `jupyter-releaser` if you have not yet done so.
- [ ] Run through the release process, targeting this repo and the appropriate branch
- Optionally add configuration to the target repository if non-standard options or hooks are needed.
- If desired, add
check_releasejob, changelog, andtbumpsupport to other active release branches - Try out the
Draft ChangelogandDraft Releaseprocess against a fork of the target repo first so you don't accidentally push tags and GitHub releases to the source repository. - Try the
Publish Releaseprocess using a prerelease version before publishing a final version.
Backport Branches
- Create backport branches the usual way, e.g.
git checkout -b 3.0.x v3.0.1; git push origin 3.0.x - When running the
Publish ReleaseWorkflow, an automatic PR is generated for the default branch in the target repo, positioned in the appropriate place in the changelog.
Workflows
Detailed workflows are available to draft a changelog, draft a release, publish a release, and check a release.
Draft ChangeLog Workflow
- Manual Github workflow
- Inputs are the target repo, branch, and the version spec
- Bumps the version
- By default, uses tbump or bump2version to bump the version based on presence of config files
- We recommend
tbumpinstead ofbump2versionfor most cases because it does not handle patch releases well when using prereleases.
- We recommend
- By default, uses tbump or bump2version to bump the version based on presence of config files
- Prepares the environment
- Sets up git config and branch
- Generates a changelog (using github-activity) using the PRs since the last tag on this branch.
- Gets the current version and then does a git checkout to clear state
- Adds a new version entry using a HTML comment markers in the changelog file
- Optionally resolves meeseeks backport PRs to their original PR
- Creates a PR with the changelog changes
- Can be re-run using the same version spec. It will add new entries but preserve existing ones (in case they have been hand modified).
- Note: Pre-release changelog sections are not automatically combined, but you may wish to do so manually.
Draft Release Workflow
- Manual Github workflow
- Inputs are target repository, branch, version spec and optional post version spec
- Bumps version using the same method as the changelog action
- Prepares the environment using the same method as the changelog action
- Checks the changelog entry
- Looks for the current entry using the HTML comment markers
- Gets the expected changelog values using
github-activity - Ensures that all PRs are the same between the two
- For Python packages:
- Builds the wheel and source distributions if applicable
- Makes sure Python dists can be installed and imported in a virtual environment
- For npm package(s) (including workspace support):
- Builds tarball(s) using
npm pack - Make sure tarball(s) can be installed and imported in a new npm package
- Builds tarball(s) using
- Checks the package manifest using
check-manifest - Checks the links in Markdown and reStructuredText files
- Adds a commit that includes the hashes of the dist files
- Creates an annotated version tag in standard format
- If given, bumps the version using the post version spec
- Pushes the commits and tag to the target
branch - Publishes a draft GitHub release for the tag with the changelog entry as the text
Publish Release Workflow
- Manual Github workflow
- Input is the url of the draft release
- Downloads the dist assets from the release
- Verifies shas and integrity of release assets
- Publishes assets to appropriate registries
- If the tag is on a backport branch, makes a forwardport PR for the changelog entry
Check Release Workflow
- Runs on CI in the target repository to verify compatibility and release-ability.
- Runs the
Draft ChangelogandDraft Releaseactions in dry run mode - Publishes to the local PyPI server and/or dry-run
npm publish. - Does not make PRs or push git changes
FAQs
My changelog is out of sync
Create a new manual PR to fix the PR and re-orient the changelog entry markers.
PR is merged to the target branch in the middle of a "Draft Release"
The release will fail to push commits because it will not be up to date. Delete the pushed tags and re-start with "Draft Changelog" to pick up the new PR.
How to keep fork of Jupyter Releaser up to date
The manual workflow files target the @v1 actions in the source repository, which means that as long as
the workflow files themselves are up to date, you will always be running the most up to date actions.
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