Upload Python Package workflow (otto-torino/django-baton)
The Upload Python Package workflow from otto-torino/django-baton, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, 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 otto-torino/django-baton 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:
push:
tags:
- '*'
permissions:
contents: read
jobs:
build:
name: Build distribution
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
- name: Build sdist and wheel
run: |
python -m pip install --upgrade pip build
python -m build
- name: Upload built distributions
uses: actions/upload-artifact@v7
with:
name: dist
path: dist/
publish:
name: Publish to PyPI
needs: build
runs-on: ubuntu-latest
# Trusted Publishing (OIDC): no username/password or API token needed.
# Requires a matching "pypi" environment in the repo settings and a PyPI
# trusted publisher configured for this repo + workflow + environment.
environment:
name: pypi
url: https://pypi.org/project/django-baton/
permissions:
id-token: write
steps:
- name: Download built distributions
uses: actions/download-artifact@v8
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: Upload Python Package on: push: tags: - '*' permissions: contents: read concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 name: Build distribution runs-on: latchkey-small steps: - uses: actions/checkout@v5 - name: Set up Python uses: actions/setup-python@v6 with: cache: 'pip' python-version: '3.x' - name: Build sdist and wheel run: | python -m pip install --upgrade pip build python -m build - name: Upload built distributions uses: actions/upload-artifact@v7 with: name: dist path: dist/ publish: timeout-minutes: 30 name: Publish to PyPI needs: build runs-on: latchkey-small # Trusted Publishing (OIDC): no username/password or API token needed. # Requires a matching "pypi" environment in the repo settings and a PyPI # trusted publisher configured for this repo + workflow + environment. environment: name: pypi url: https://pypi.org/project/django-baton/ permissions: id-token: write steps: - name: Download built distributions uses: actions/download-artifact@v8 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. - Cancel superseded runs when a branch or PR gets a newer push.
- 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.