Upload Python Package workflow (ysde/grafana-backup-tool)
The Upload Python Package workflow from ysde/grafana-backup-tool, 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 ysde/grafana-backup-tool 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 upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: Upload Python Package
on:
release:
types: [created]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install setuptools wheel twine build
- name: Build a binary wheel and a source tarball
run: >-
python -m
build
--sdist
--wheel
--outdir dist/
.
- name: Publish distribution 📦 to Test PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.TEST_PYPI_API_TOKEN }}
repository-url: https://test.pypi.org/legacy/
- name: Build and publish
if: startsWith(github.ref, 'refs/tags')
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.
# This workflow will upload a Python Package using Twine when a release is created # For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries name: Upload Python Package on: release: types: [created] jobs: deploy: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: cache: 'pip' python-version: '3.x' - name: Install dependencies run: | python -m pip install --upgrade pip pip install setuptools wheel twine build - name: Build a binary wheel and a source tarball run: >- python -m build --sdist --wheel --outdir dist/ . - name: Publish distribution 📦 to Test PyPI uses: pypa/gh-action-pypi-publish@release/v1 with: password: ${{ secrets.TEST_PYPI_API_TOKEN }} repository-url: https://test.pypi.org/legacy/ - name: Build and publish if: startsWith(github.ref, 'refs/tags') 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.