Sphinx documentation workflow (rezoo/movis)
The Sphinx documentation workflow from rezoo/movis, 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 Sphinx documentation workflow from the rezoo/movis 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: Sphinx documentation
on:
push:
branches: [main] # branch to trigger deployment
jobs:
build:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: Checkout codes
uses: actions/checkout@v3
- name: Set up Python 3.10
uses: actions/setup-python@v2
with:
python-version: "3.10"
- name: Setup FFmpeg
uses: FedericoCarboni/setup-ffmpeg@v2
- name: Install packages
run: |
sudo apt-get install -y libgl1-mesa-dev libglib2.0-0
- name: Install dependencies
run: |
python -m pip install -U pip
python -m pip install -r requirements.txt
python -m pip install -r docs/requirements.txt
- name: Install repository
run: |
python -m pip install -e .
- name: Build documentation
run: |
cd docs
make html
- name: Upload artifacts
uses: actions/upload-artifact@v3
with:
name: html-docs
path: docs/build/html/
- name: Deploy
uses: peaceiris/actions-gh-pages@v3
if: github.ref == 'refs/heads/main'
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: docs/build/htmlThe 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: Sphinx documentation on: push: branches: [main] # branch to trigger deployment concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: latchkey-small permissions: contents: write steps: - name: Checkout codes uses: actions/checkout@v3 - name: Set up Python 3.10 uses: actions/setup-python@v2 with: cache: 'pip' python-version: "3.10" - name: Setup FFmpeg uses: FedericoCarboni/setup-ffmpeg@v2 - name: Install packages run: | sudo apt-get install -y libgl1-mesa-dev libglib2.0-0 - name: Install dependencies run: | python -m pip install -U pip python -m pip install -r requirements.txt python -m pip install -r docs/requirements.txt - name: Install repository run: | python -m pip install -e . - name: Build documentation run: | cd docs make html - name: Upload artifacts uses: actions/upload-artifact@v3 with: name: html-docs path: docs/build/html/ - name: Deploy uses: peaceiris/actions-gh-pages@v3 if: github.ref == 'refs/heads/main' with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: 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.
2 third-party actions are referenced by a movable tag. Pin them 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.