Generate Docs workflow (spotty-cloud/spotty)
The Generate Docs workflow from spotty-cloud/spotty, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Generate Docs workflow from the spotty-cloud/spotty 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
# This workflows will upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: Generate Docs
on:
push:
branches:
- master
jobs:
update-doc:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-python@v1
with:
python-version: 3.6
- name: generate docs
run: |
cd docs
pip install -r requirements.txt
make html
cd build/html
touch .nojekyll
echo "spotty.cloud" > CNAME
git init
git config --local user.email "github-bot@spotty.cloud"
git config --local user.name "Spotty Dev Bot"
git add .
git commit -m "generated docs" -a
- uses: ad-m/github-push-action@master
with:
github_token: ${{ secrets.BOT_GITHUB_TOKEN }}
repository: spotty-cloud/website
force: true
directory: docs/build/html
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.
# This workflows will upload a Python Package using Twine when a release is created # For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries name: Generate Docs on: push: branches: - master concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: update-doc: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v2 - uses: actions/setup-python@v1 with: cache: 'pip' python-version: 3.6 - name: generate docs run: | cd docs pip install -r requirements.txt make html cd build/html touch .nojekyll echo "spotty.cloud" > CNAME git init git config --local user.email "github-bot@spotty.cloud" git config --local user.name "Spotty Dev Bot" git add . git commit -m "generated docs" -a - uses: ad-m/github-push-action@master with: github_token: ${{ secrets.BOT_GITHUB_TOKEN }} repository: spotty-cloud/website force: true directory: docs/build/html
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.
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 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.