Publish workflow (tomasvotava/fastapi-sso)
The Publish workflow from tomasvotava/fastapi-sso, 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 tomasvotava/fastapi-sso 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
on:
release:
types: [created]
jobs:
publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: 3.12
- name: Install Poetry
run: |
curl -sSL https://install.python-poetry.org | python3 -
- name: Install dependencies
run: poetry install
- name: Publish package
run: poetry publish --build
env:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_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.
name: Publish on: release: types: [created] jobs: publish: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v4 with: cache: 'pip' python-version: 3.12 - name: Install Poetry run: | curl -sSL https://install.python-poetry.org | python3 - - name: Install dependencies run: poetry install - name: Publish package run: poetry publish --build env: POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_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.
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
- Network fetches
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.