release workflow (pykale/pykale)
The release workflow from pykale/pykale, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the release workflow from the pykale/pykale repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
# This workflow will release a package on PyPI automatically when it is tagged/released.
# https://packaging.python.org/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/
name: release
on:
release:
types: [created]
jobs:
build-n-publish:
name: Release on PyPI
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: 3.11
- name: Install pypa/build
run: >-
python -m
pip install
build
--user
- name: Build a binary wheel and a source tarball
run: >-
python -m
build
--sdist
--wheel
--outdir dist/
.
- name: Publish distribution to Test PyPI
if: github.event.release.prerelease
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.TEST_PYPI_API_TOKEN }}
repository-url: https://test.pypi.org/legacy/
- name: Publish distribution to PyPI
if: ${{ !github.event.release.prerelease }}
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
# This workflow will release a package on PyPI automatically when it is tagged/released. # https://packaging.python.org/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/ name: release on: release: types: [created] jobs: build-n-publish: timeout-minutes: 30 name: Release on PyPI runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Set up Python 3.11 uses: actions/setup-python@v5 with: cache: 'pip' python-version: 3.11 - name: Install pypa/build run: >- python -m pip install build --user - name: Build a binary wheel and a source tarball run: >- python -m build --sdist --wheel --outdir dist/ . - name: Publish distribution to Test PyPI if: github.event.release.prerelease uses: pypa/gh-action-pypi-publish@release/v1 with: password: ${{ secrets.TEST_PYPI_API_TOKEN }} repository-url: https://test.pypi.org/legacy/ - name: Publish distribution to PyPI if: ${{ !github.event.release.prerelease }} uses: pypa/gh-action-pypi-publish@release/v1 with: password: ${{ secrets.PYPI_API_TOKEN }}
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cache dependency installs on the setup step so they are served from cache.
- Add a job timeout so a hung step cannot burn hours of runner time.
1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
What Latchkey heals here
This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:
- Dependency installs
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.