Issue Hello workflow (brentvollebregt/auto-py-to-exe)

The Issue Hello workflow from brentvollebregt/auto-py-to-exe, 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.

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Source: brentvollebregt/auto-py-to-exe.github/workflows/issue-hello.ymlLicense MITView source

What it does

This is the Issue Hello workflow from the brentvollebregt/auto-py-to-exe 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: Issue Hello

on:
  issues:
    types: [opened]

jobs:
  comment:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/github-script@v9
        with:
          script: |
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: `👋 Hi, just a reminder that if you haven't read [the help post](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/) yet, give it a read to see if your issue is covered in it and make sure to follow [the debugging section](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/#debugging).\n\nAlso please note, as stated in the README, if your issue is only associated with your application and not auto-py-to-exe itself, please do not create an issue in this repository - instead, comment on the help [post](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/), [video](https://youtu.be/OZSZHmWSOeM) or create a [new discussion](https://github.com/brentvollebregt/auto-py-to-exe/discussions).`
            })

The same workflow, on Latchkey

Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.

name: Issue Hello
 
on:
  issues:
    types: [opened]
 
jobs:
  comment:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - uses: actions/github-script@v9
        with:
          script: |
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: `👋 Hi, just a reminder that if you haven't read [the help post](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/) yet, give it a read to see if your issue is covered in it and make sure to follow [the debugging section](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/#debugging).\n\nAlso please note, as stated in the README, if your issue is only associated with your application and not auto-py-to-exe itself, please do not create an issue in this repository - instead, comment on the help [post](https://nitratine.net/blog/post/issues-when-using-auto-py-to-exe/), [video](https://youtu.be/OZSZHmWSOeM) or create a [new discussion](https://github.com/brentvollebregt/auto-py-to-exe/discussions).`
            })

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 uses latchkey-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.

Actions used in this workflow

actions/github-script