Test PyPI publish workflow (argoproj-labs/hera)
The Test PyPI publish workflow from argoproj-labs/hera, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Test PyPI publish workflow from the argoproj-labs/hera 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: Test PyPI publish
on:
release:
types: [prereleased]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- name: Set up Python 3.10
uses: actions/setup-python@v6
with:
python-version: "3.10"
- name: Install base dependencies
run: |
python -m pip install --upgrade pip
python -m pip install poetry
- name: Bump version number
run: poetry version ${{ github.event.release.tag_name }}
- name: Build and publish
run: |
poetry build
poetry config repositories.testpypi https://test.pypi.org/legacy/
poetry publish -r testpypi -u __token__ -p ${{ secrets.PYPI_TEST_API_TOKEN_HERA }} --skip-existing
rm -rf dist/*
- name: Rename hera to hera-workflows for backwards compat
run: |
sed -i 's/name = "hera" # project-name/name = "hera-workflows" # project-name/g' pyproject.toml
sed -i 's/name = "hera" # project-name/name = "hera-workflows" # project-name/g' src/hera/_version.py
- name: Build and publish
run: |
poetry build
poetry config repositories.testpypi https://test.pypi.org/legacy/
poetry publish -r testpypi -u __token__ -p ${{ secrets.PYPI_TEST_API_TOKEN }} --skip-existing
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: Test PyPI publish on: release: types: [prereleased] jobs: build: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v7 - name: Set up Python 3.10 uses: actions/setup-python@v6 with: cache: 'pip' python-version: "3.10" - name: Install base dependencies run: | python -m pip install --upgrade pip python -m pip install poetry - name: Bump version number run: poetry version ${{ github.event.release.tag_name }} - name: Build and publish run: | poetry build poetry config repositories.testpypi https://test.pypi.org/legacy/ poetry publish -r testpypi -u __token__ -p ${{ secrets.PYPI_TEST_API_TOKEN_HERA }} --skip-existing rm -rf dist/* - name: Rename hera to hera-workflows for backwards compat run: | sed -i 's/name = "hera" # project-name/name = "hera-workflows" # project-name/g' pyproject.toml sed -i 's/name = "hera" # project-name/name = "hera-workflows" # project-name/g' src/hera/_version.py - name: Build and publish run: | poetry build poetry config repositories.testpypi https://test.pypi.org/legacy/ poetry publish -r testpypi -u __token__ -p ${{ secrets.PYPI_TEST_API_TOKEN }} --skip-existing
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.
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.