CI workflow (Russell-cell/PPT-Design-Prompt)
The CI workflow from Russell-cell/PPT-Design-Prompt, 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 CI workflow from the Russell-cell/PPT-Design-Prompt 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: CI
on:
push:
pull_request:
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Check out repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install package
run: |
python -m pip install --upgrade pip
python -m pip install -e .
- name: Run unit tests
run: python -m unittest discover -s tests -v
- name: Smoke test CLI
run: |
design-md-ppt convert \
--source-root ./examples/minimal/source \
--output-root ./tmp-ci-output \
--manifest ./tmp-ci-manifest.json \
--brands-file ./examples/minimal/brands.txt
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: CI on: push: pull_request: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: test: timeout-minutes: 30 runs-on: latchkey-small steps: - name: Check out repository uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: "3.11" - name: Install package run: | python -m pip install --upgrade pip python -m pip install -e . - name: Run unit tests run: python -m unittest discover -s tests -v - name: Smoke test CLI run: | design-md-ppt convert \ --source-root ./examples/minimal/source \ --output-root ./tmp-ci-output \ --manifest ./tmp-ci-manifest.json \ --brands-file ./examples/minimal/brands.txt
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 - Cancel superseded runs when a branch or PR gets a newer push.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.