Run linting workflow (bczsalba/pytermgui)

The Run linting workflow from bczsalba/pytermgui, explained and optimized by Latchkey.

What it does

This is the Run linting workflow from the bczsalba/pytermgui 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: Run linting

on:
  workflow_dispatch:
  push:
    paths:
      - "pytermgui/**"

jobs:
  build:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ["3.8", "3.9", "3.10"]
    steps:
      - uses: actions/checkout@v2

      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip

          pip install .
          pip install pylint

      - name: Analysing the code with pylint
        run: |
          pylint --fail-under 10.0 -d fixme pytermgui

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: Run linting
 
on:
  workflow_dispatch:
  push:
    paths:
      - "pytermgui/**"
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
    runs-on: latchkey-small
    strategy:
      matrix:
        python-version: ["3.8", "3.9", "3.10"]
    steps:
      - uses: actions/checkout@v2
 
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          cache: 'pip'
          python-version: ${{ matrix.python-version }}
 
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
 
          pip install .
          pip install pylint
 
      - name: Analysing the code with pylint
        run: |
          pylint --fail-under 10.0 -d fixme pytermgui
 

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• Cancel superseded runs when a branch or PR gets a newer push.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 (3 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow