CodeQL workflow (yashlamba/handwrite)

The CodeQL workflow from yashlamba/handwrite, explained and optimized by Latchkey.

What it does

This is the CodeQL workflow from the yashlamba/handwrite 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: "CodeQL"

on:
  push:
    branches: [main, dev]
  pull_request:
    branches: [main, dev]
    
jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest
    permissions:
      actions: read
      contents: read
      security-events: write
    strategy:
      fail-fast: false
      
    steps:
    - name: Checkout repository
      uses: actions/checkout@v2
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'
        
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install .[dev]
        echo "CODEQL_PYTHON=$(which python)" >> $GITHUB_ENV
        
    - name: Initialize CodeQL
      uses: github/codeql-action/init@v1
      with:
        languages: python
        setup-python-dependencies: false

    - name: Perform CodeQL Analysis
      uses: github/codeql-action/analyze@v1

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: "CodeQL"
 
on:
  push:
    branches: [main, dev]
  pull_request:
    branches: [main, dev]
    
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  analyze:
    timeout-minutes: 30
    name: Analyze
    runs-on: latchkey-small
    permissions:
      actions: read
      contents: read
      security-events: write
    strategy:
      fail-fast: false
      
    steps:
    - name: Checkout repository
      uses: actions/checkout@v2
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        cache: 'pip'
        python-version: '3.8'
        
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install .[dev]
        echo "CODEQL_PYTHON=$(which python)" >> $GITHUB_ENV
        
    - name: Initialize CodeQL
      uses: github/codeql-action/init@v1
      with:
        languages: python
        setup-python-dependencies: false
 
    - name: Perform CodeQL Analysis
      uses: github/codeql-action/analyze@v1
 

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