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Test workflow (chinese-poetry/chinese-poetry)

The Test workflow from chinese-poetry/chinese-poetry, 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.

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Source: chinese-poetry/chinese-poetry.github/workflows/test.ymlLicense MITView source

What it does

This is the Test workflow from the chinese-poetry/chinese-poetry 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: Test

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

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2
    - uses: actions/setup-python@v2
      with:
        python-version: '3.x'
        architecture: 'x64'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pytest
    - name: Run unit tests
      run: |
        pytest
      

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: Test
 
on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
 
    runs-on: latchkey-small
 
    steps:
    - uses: actions/checkout@v2
    - uses: actions/setup-python@v2
      with:
        cache: 'pip'
        python-version: '3.x'
        architecture: 'x64'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pytest
    - name: Run unit tests
      run: |
        pytest
      
 

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 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