Upload Python Package workflow (mir-group/allegro)
The Upload Python Package workflow from mir-group/allegro, 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 Upload Python Package workflow from the mir-group/allegro 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
name: Upload Python Package
on:
release:
types: [created]
# yamllint disable rule:line-length
# ref: https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/
# yamllint enable
jobs:
build:
name: Build distribution
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: set up Python
uses: actions/setup-python@v5
with:
python-version: 3.9
- name: install dependencies, then build binary wheel and source tarball
run: |
python3 -m pip install build --user
python3 -m build
- name: store the distribution packages
uses: actions/upload-artifact@v4
with:
name: python-package-distributions
path: dist/
pypi-publish:
name: Upload release to PyPI
runs-on: ubuntu-latest
# build task to be completed first
needs: build
# Specifying a GitHub environment is optional, but strongly encouraged
environment: pypi
permissions:
# IMPORTANT: this permission is mandatory for Trusted Publishing
id-token: write
steps:
- name: download the distributions
uses: actions/download-artifact@v4
with:
name: python-package-distributions
path: dist/
- name: publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
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.
name: Upload Python Package on: release: types: [created] # yamllint disable rule:line-length # ref: https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/ # yamllint enable jobs: build: timeout-minutes: 30 name: Build distribution runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: 3.9 - name: install dependencies, then build binary wheel and source tarball run: | python3 -m pip install build --user python3 -m build - name: store the distribution packages uses: actions/upload-artifact@v4 with: name: python-package-distributions path: dist/ pypi-publish: timeout-minutes: 30 name: Upload release to PyPI runs-on: latchkey-small # build task to be completed first needs: build # Specifying a GitHub environment is optional, but strongly encouraged environment: pypi permissions: # IMPORTANT: this permission is mandatory for Trusted Publishing id-token: write steps: - name: download the distributions uses: actions/download-artifact@v4 with: name: python-package-distributions path: dist/ - name: publish package distributions to PyPI uses: pypa/gh-action-pypi-publish@release/v1
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 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.