Skip to content
Latchkey

CI workflow (refraction-ray/xalpha)

The CI workflow from refraction-ray/xalpha, explained and optimized by Latchkey.

D

CI health: D - needs work

Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.

Grade your own workflow free or run it on Latchkey →
Source: refraction-ray/xalpha.github/workflows/ci.ymlLicense MITView source

What it does

This is the CI workflow from the refraction-ray/xalpha 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

workflow (.yml)
name: CI

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.12'
    - name: Install dependencies
      run: |
        pip install black pylint
    - name: Black check
      run: black --check xalpha/ tests/
    - name: Pylint check
      run: pylint xalpha/

  test:
    needs: lint
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ['3.12']

    steps:
    - uses: actions/checkout@v3
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v4
      with:
        python-version: ${{ matrix.python-version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install pytest pytest-cov
        pip install -e .
    - name: Run tests (non-local)
      run: |
        pytest -m "not local" --cov=xalpha -svv tests/

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:
    branches: [ master ]
  pull_request:
    branches: [ master ]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  lint:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        cache: 'pip'
        python-version: '3.12'
    - name: Install dependencies
      run: |
        pip install black pylint
    - name: Black check
      run: black --check xalpha/ tests/
    - name: Pylint check
      run: pylint xalpha/
 
  test:
    timeout-minutes: 30
    needs: lint
    runs-on: latchkey-small
    strategy:
      matrix:
        python-version: ['3.12']
 
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v4
      with:
        cache: 'pip'
        python-version: ${{ matrix.python-version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
        pip install pytest pytest-cov
        pip install -e .
    - name: Run tests (non-local)
      run: |
        pytest -m "not local" --cov=xalpha -svv tests/
 

What changed

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:

This workflow runs 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow