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Run tests workflow (Netflix-Skunkworks/aardvark)

The Run tests workflow from Netflix-Skunkworks/aardvark, 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: Netflix-Skunkworks/aardvark.github/workflows/build.ymlLicense Apache-2.0View source

What it does

This is the Run tests workflow from the Netflix-Skunkworks/aardvark 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

workflow (.yml)
name: Run tests

on:
  push:
    branches:
    - main
    - develop
  pull_request:
    branches:
    - main
    - develop

jobs:
  build:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ["3.8", "3.9"]
    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
          python -m pip install \
            -r requirements.txt \
            flake8 \
            pytest \
            .
      - name: Lint
        run: |
          flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics
          flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
      - name: Test
        run: |
          pytest --capture=sys --ignore=test/test_docker.py

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 tests
 
on:
  push:
    branches:
    - main
    - develop
  pull_request:
    branches:
    - main
    - develop
 
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"]
    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
          python -m pip install \
            -r requirements.txt \
            flake8 \
            pytest \
            .
      - name: Lint
        run: |
          flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics
          flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
      - name: Test
        run: |
          pytest --capture=sys --ignore=test/test_docker.py
 

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 (2 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