PyPi deploy release workflow (tBuLi/symfit)
The PyPi deploy release workflow from tBuLi/symfit, 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 PyPi deploy release workflow from the tBuLi/symfit 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: PyPi deploy release
on: [release]
jobs:
build-n-publish:
name: Build and publish Python π distributions π¦ to PyPI
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Fetch all history for all tags and branches
run: git fetch --prune --unshallow
- name: Set up Python 3.11
uses: actions/setup-python@v4
with:
python-version: 3.11
- name: Build
run: |
pip install wheel
pip install pbr
python setup.py sdist bdist_wheel
- name: Publish distribution π¦ to PyPI
uses: pypa/gh-action-pypi-publish@master
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.
name: PyPi deploy release on: [release] jobs: build-n-publish: timeout-minutes: 30 name: Build and publish Python π distributions π¦ to PyPI runs-on: latchkey-small steps: - name: Checkout uses: actions/checkout@v3 - name: Fetch all history for all tags and branches run: git fetch --prune --unshallow - name: Set up Python 3.11 uses: actions/setup-python@v4 with: cache: 'pip' python-version: 3.11 - name: Build run: | pip install wheel pip install pbr python setup.py sdist bdist_wheel - name: Publish distribution π¦ to PyPI uses: pypa/gh-action-pypi-publish@master 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.