CI workflow (pyvideo/data)

The CI workflow from pyvideo/data, explained and optimized by Latchkey.

What it does

This is the CI workflow from the pyvideo/data repository, a real project running GitHub Actions. It is shown here with attribution under its CC0-1.0 license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

name: CI

on: [push, pull_request, workflow_dispatch]

env:
  FORCE_COLOR: 1
  PIP_DISABLE_PIP_VERSION_CHECK: 1

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v5

    - name: Set up Python
      uses: actions/setup-python@v6
      with:
        python-version: 3.x

    - name: Install
      run: make install-deps

    - name: Run Test
      run: make test

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, workflow_dispatch]
 
env:
  FORCE_COLOR: 1
  PIP_DISABLE_PIP_VERSION_CHECK: 1
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  test:
    timeout-minutes: 30
    runs-on: latchkey-small
 
    steps:
    - uses: actions/checkout@v5
 
    - name: Set up Python
      uses: actions/setup-python@v6
      with:
        cache: 'pip'
        python-version: 3.x
 
    - name: Install
      run: make install-deps
 
    - name: Run Test
      run: make test
 

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 uses latchkey-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• Cancel superseded runs when a branch or PR gets a newer push.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.

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow