Linting workflow (PyLabRobot/pylabrobot)

The Linting workflow from PyLabRobot/pylabrobot, explained and optimized by Latchkey.

What it does

This is the Linting workflow from the PyLabRobot/pylabrobot 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: Linting

on:
  push:
    branches:
      - main
  pull_request:

jobs:
  lint:
    name: Linting
    runs-on: ubuntu-latest

    steps:
      - name: Checkout Code
        uses: actions/checkout@v2
      - name: Update packages
        run: sudo apt-get update
      - name: Set up Python 3.9
        uses: actions/setup-python@v2
        with:
          python-version: 3.9
      - name: Install Dependencies
        run: pip install -e '.[dev]'
      - name: Run linting check
        run: make lint
      - name: Check formatting
        run: make format-check

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: Linting
 
on:
  push:
    branches:
      - main
  pull_request:
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  lint:
    timeout-minutes: 30
    name: Linting
    runs-on: latchkey-small
 
    steps:
      - name: Checkout Code
        uses: actions/checkout@v2
      - name: Update packages
        run: sudo apt-get update
      - name: Set up Python 3.9
        uses: actions/setup-python@v2
        with:
          cache: 'pip'
          python-version: 3.9
      - name: Install Dependencies
        run: pip install -e '.[dev]'
      - name: Run linting check
        run: make lint
      - name: Check formatting
        run: make format-check
 

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• Cancel superseded runs when a branch or PR gets a newer push.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

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.

Actions used in this workflow