Publish to PyPI workflow (monk1337/resp)
The Publish to PyPI workflow from monk1337/resp, 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 Publish to PyPI workflow from the monk1337/resp repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Publish to PyPI
on:
release:
types: [published]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install build dependencies
run: pip install build
- name: Build package
run: python -m build
- name: Upload dist artifacts
uses: actions/upload-artifact@v4
with:
name: dist
path: dist/
publish-testpypi:
needs: build
runs-on: ubuntu-latest
environment: testpypi
permissions:
id-token: write
steps:
- name: Download dist artifacts
uses: actions/download-artifact@v4
with:
name: dist
path: dist/
- name: Publish to TestPyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
repository-url: https://test.pypi.org/legacy/
publish-pypi:
needs: publish-testpypi
runs-on: ubuntu-latest
environment: pypi
permissions:
id-token: write
steps:
- name: Download dist artifacts
uses: actions/download-artifact@v4
with:
name: dist
path: dist/
- name: Publish 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: Publish to PyPI on: release: types: [published] jobs: build: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: "3.12" - name: Install build dependencies run: pip install build - name: Build package run: python -m build - name: Upload dist artifacts uses: actions/upload-artifact@v4 with: name: dist path: dist/ publish-testpypi: timeout-minutes: 30 needs: build runs-on: latchkey-small environment: testpypi permissions: id-token: write steps: - name: Download dist artifacts uses: actions/download-artifact@v4 with: name: dist path: dist/ - name: Publish to TestPyPI uses: pypa/gh-action-pypi-publish@release/v1 with: repository-url: https://test.pypi.org/legacy/ publish-pypi: timeout-minutes: 30 needs: publish-testpypi runs-on: latchkey-small environment: pypi permissions: id-token: write steps: - name: Download dist artifacts uses: actions/download-artifact@v4 with: name: dist path: dist/ - name: Publish 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 3 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.