Mark and maybe close stale issues and PRs workflow (kmkurn/pytorch-crf)
The Mark and maybe close stale issues and PRs workflow from kmkurn/pytorch-crf, explained and optimized by Latchkey.
CI health: A - excellent
Point runs-on at Latchkey and get job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Mark and maybe close stale issues and PRs workflow from the kmkurn/pytorch-crf 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: 'Mark and maybe close stale issues and PRs'
on:
workflow_dispatch:
schedule:
- cron: '30 1 * * *'
jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v4
with:
days-before-stale: 90 # 3 months
days-before-close: 30
operations-per-run: 60
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: 'Mark and maybe close stale issues and PRs' on: workflow_dispatch: schedule: - cron: '30 1 * * *' jobs: stale: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/stale@v4 with: days-before-stale: 90 # 3 months days-before-close: 30 operations-per-run: 60
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. - Add a job timeout so a hung step cannot burn hours of runner time.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.