lint workflow (ModelTC/LightX2V)

The lint workflow from ModelTC/LightX2V, explained and optimized by Latchkey.

What it does

This is the lint workflow from the ModelTC/LightX2V repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.

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

The workflow

name: lint

on:
  pull_request:
  push:

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Set up Python 3.11
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'

      - name: Cache Python dependencies
        uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-

      - name: Install pre-commit hook
        run: |
          pip install pre-commit ruff

      - name: Check pre-commit config file
        run: |
          if [ ! -f ".pre-commit-config.yaml" ]; then
            echo "Error: .pre-commit-config.yaml not found."
            exit 1
          fi

      - name: Linting
        run: |
          echo "Running pre-commit on all files..."
          pre-commit run --all-files || {
            echo "Linting failed. Please check the above output for details."
            exit 1
          }

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: lint
 
on:
  pull_request:
  push:
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  lint:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
 
      - name: Set up Python 3.11
        uses: actions/setup-python@v4
        with:
          cache: 'pip'
          python-version: '3.11'
 
      - name: Cache Python dependencies
        uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-
 
      - name: Install pre-commit hook
        run: |
          pip install pre-commit ruff
 
      - name: Check pre-commit config file
        run: |
          if [ ! -f ".pre-commit-config.yaml" ]; then
            echo "Error: .pre-commit-config.yaml not found."
            exit 1
          fi
 
      - name: Linting
        run: |
          echo "Running pre-commit on all files..."
          pre-commit run --all-files || {
            echo "Linting failed. Please check the above output for details."
            exit 1
          }
 

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.
• 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