Docs workflow (Delgan/loguru)
The Docs workflow from Delgan/loguru, explained and optimized by Latchkey.
CI health: D - needs work
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Docs workflow from the Delgan/loguru 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: Docs
on: [push, pull_request]
jobs:
docs:
if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.repository
runs-on: ubuntu-22.04
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install tox
- name: Build documentation
run: |
tox -e docs
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: Docs on: [push, pull_request] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: docs: timeout-minutes: 30 if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.repository runs-on: latchkey-small steps: - name: Checkout repository uses: actions/checkout@v6 - name: Set up Python uses: actions/setup-python@v6 with: cache: 'pip' python-version: '3.11' - name: Install dependencies run: | python -m pip install --upgrade pip python -m pip install tox - name: Build documentation run: | tox -e docs
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 - Cancel superseded runs when a branch or PR gets a newer push.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.
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.