Test Application workflow (MasoniteFramework/masonite)
The Test Application workflow from MasoniteFramework/masonite, explained and optimized by Latchkey.
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.
What it does
This is the Test Application workflow from the MasoniteFramework/masonite 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: Test Application
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11"]
name: Python ${{ matrix.python-version }}
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python-version }}
path: ~/test
- name: Install dependencies
run: |
make init
- name: Test with pytest
env:
MAIL_HOST: ${{ github.secrets.MAIL_HOST }}
MAIL_PORT: ${{ github.secrets.MAIL_PORT }}
MAIL_USERNAME: ${{ github.secrets.MAIL_USERNAME }}
MAIL_PASSWORD: ${{ github.secrets.MAIL_PASSWORD }}
DB_CONFIG_PATH: tests/integrations/config/database
run: |
make ci
lint:
runs-on: ubuntu-latest
name: Lint
steps:
- uses: actions/checkout@v3
- name: Set up latest Python 3.X
uses: actions/setup-python@v3
with:
python-version: "3.x"
- name: Install Flake8
run: |
pip install flake8
- name: Lint
run: make lint
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 Application on: [push, pull_request] 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", "3.10", "3.11"] name: Python ${{ matrix.python-version }} steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v3 with: cache: 'pip' python-version: ${{ matrix.python-version }} path: ~/test - name: Install dependencies run: | make init - name: Test with pytest env: MAIL_HOST: ${{ github.secrets.MAIL_HOST }} MAIL_PORT: ${{ github.secrets.MAIL_PORT }} MAIL_USERNAME: ${{ github.secrets.MAIL_USERNAME }} MAIL_PASSWORD: ${{ github.secrets.MAIL_PASSWORD }} DB_CONFIG_PATH: tests/integrations/config/database run: | make ci lint: timeout-minutes: 30 runs-on: latchkey-small name: Lint steps: - uses: actions/checkout@v3 - name: Set up latest Python 3.X uses: actions/setup-python@v3 with: cache: 'pip' python-version: "3.x" - name: Install Flake8 run: | pip install flake8 - name: Lint run: make lint
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 useslatchkey-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 2 jobs (5 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.