property-tests workflow (pyranges/pyranges0)
The property-tests workflow from pyranges/pyranges0, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the property-tests workflow from the pyranges/pyranges0 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: property-tests
on:
workflow_run:
workflows: [linting-typechecking-doctests]
types: [completed]
jobs:
on-success:
runs-on: ubuntu-latest
if: ${{ github.event.workflow_run.conclusion == 'success' }}
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: "3.11.0"
- run: sudo apt-get install bedtools
- run: pip install hypothesis pytest pytest-xdist
- run: pip install .
- run: pytest -sv -n 2 tests/property_based
env:
GITHUB_ACTIONS: true
on-failure:
runs-on: ubuntu-latest
if: ${{ github.event.workflow_run.conclusion == 'failure' }}
steps:
- run: exit 1 # Fail the job
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: property-tests on: workflow_run: workflows: [linting-typechecking-doctests] types: [completed] jobs: on-success: timeout-minutes: 30 runs-on: latchkey-small if: ${{ github.event.workflow_run.conclusion == 'success' }} steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: cache: 'pip' python-version: "3.11.0" - run: sudo apt-get install bedtools - run: pip install hypothesis pytest pytest-xdist - run: pip install . - run: pytest -sv -n 2 tests/property_based env: GITHUB_ACTIONS: true on-failure: timeout-minutes: 30 runs-on: latchkey-small if: ${{ github.event.workflow_run.conclusion == 'failure' }} steps: - run: exit 1 # Fail the job
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. - 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 per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.