Publish to PyPI workflow (HarleyCoops/Math-To-Manim)
The Publish to PyPI workflow from HarleyCoops/Math-To-Manim, explained and optimized by Latchkey.
CI health: C - fair
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What it does
This is the Publish to PyPI workflow from the HarleyCoops/Math-To-Manim 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: Publish to PyPI
# Publishes on every GitHub release via PyPI Trusted Publishing (OIDC).
# One-time setup on pypi.org (no tokens, no secrets):
# Account -> Publishing -> Add a new pending publisher
# PyPI project name : math-to-manim
# Owner : HarleyCoops
# Repository : Math-To-Manim
# Workflow : publish.yml
# Environment : pypi
on:
release:
types: [published]
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/setup-python@v6
with:
python-version: "3.12"
- name: Build sdist and wheel
run: |
python -m pip install --upgrade pip build twine
python -m build
python -m twine check dist/*
- name: Smoke-test the wheel
run: |
python -m pip install dist/*.whl
math-to-manim --version
math-to-manim run "wheel smoke: the pythagorean theorem" --offline
- uses: actions/upload-artifact@v4
with:
name: dist
path: dist/
publish:
needs: build
runs-on: ubuntu-latest
environment:
name: pypi
url: https://pypi.org/p/math-to-manim
permissions:
id-token: write
steps:
- 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 # Publishes on every GitHub release via PyPI Trusted Publishing (OIDC). # One-time setup on pypi.org (no tokens, no secrets): # Account -> Publishing -> Add a new pending publisher # PyPI project name : math-to-manim # Owner : HarleyCoops # Repository : Math-To-Manim # Workflow : publish.yml # Environment : pypi on: release: types: [published] workflow_dispatch: jobs: build: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v6 - uses: actions/setup-python@v6 with: cache: 'pip' python-version: "3.12" - name: Build sdist and wheel run: | python -m pip install --upgrade pip build twine python -m build python -m twine check dist/* - name: Smoke-test the wheel run: | python -m pip install dist/*.whl math-to-manim --version math-to-manim run "wheel smoke: the pythagorean theorem" --offline - uses: actions/upload-artifact@v4 with: name: dist path: dist/ publish: timeout-minutes: 30 needs: build runs-on: latchkey-small environment: name: pypi url: https://pypi.org/p/math-to-manim permissions: id-token: write steps: - 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 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.