Trigger Docs on Tag workflow (pyathena-dev/PyAthena)
The Trigger Docs on Tag workflow from pyathena-dev/PyAthena, explained and optimized by Latchkey.
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CI health: C - fair
Point runs-on at Latchkey and get run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Trigger Docs on Tag workflow from the pyathena-dev/PyAthena 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: Trigger Docs on Tag
on:
push:
tags: ['v*']
permissions:
actions: write
jobs:
trigger-docs:
runs-on: ubuntu-latest
steps:
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
with:
script: |
await github.rest.actions.createWorkflowDispatch({
owner: context.repo.owner,
repo: context.repo.repo,
workflow_id: 'docs.yaml',
ref: 'master'
})
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Trigger Docs on Tag on: push: tags: ['v*'] permissions: actions: write concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: trigger-docs: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0 with: script: | await github.rest.actions.createWorkflowDispatch({ owner: context.repo.owner, repo: context.repo.repo, workflow_id: 'docs.yaml', ref: 'master' })
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 - Cancel superseded runs when a branch or PR gets a newer push.
- 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.