Publish workflow (MTSWebServices/Ambrosia)
The Publish workflow from MTSWebServices/Ambrosia, 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 Publish workflow from the MTSWebServices/Ambrosia 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: Publish
on:
release:
types:
- created
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: Dump GitHub context
env:
GITHUB_CONTEXT: ${{ toJson(github) }}
run: echo "$GITHUB_CONTEXT"
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install poetry
run: pip install poetry>=1.5.0
- name: Install Dependencies
run: poetry install --without dev
- name: Build
run: poetry build
- name: Publish
run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN_V2 }}
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 on: release: types: - created jobs: publish: timeout-minutes: 30 runs-on: latchkey-small steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: "3.11" - name: Install poetry run: pip install poetry>=1.5.0 - name: Install Dependencies run: poetry install --without dev - name: Build run: poetry build - name: Publish run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN_V2 }}
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.