Crowdin Updates workflow (starship/starship)

The Crowdin Updates workflow from starship/starship, explained and optimized by Latchkey.

What it does

This is the Crowdin Updates workflow from the starship/starship repository, a real project running GitHub Actions. It is shown here with attribution under its ISC license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

# Run pre-translate with translation memory, all files/langs, at midnight daily.
name: Crowdin Updates
on:
  schedule:
    - cron: '0 0 * * *'

jobs:
  trigger_crowdin_tm:
    name: Crowdin Translation Memory Trigger
    runs-on: ubuntu-latest
    # Prevent this workflow from running (and failing) on forks
    if: github.repository == 'starship/starship'
    steps:
      - uses: starship/crowdin-pretranslate-action@05f21625b1486f1b77d53002fed82c4609247712 # v0.1.1
        with:
          project_id: 372655
          api_key: ${{ secrets.CROWDIN_API_TOKEN }}

The same workflow, on Latchkey

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

# Run pre-translate with translation memory, all files/langs, at midnight daily.
name: Crowdin Updates
on:
  schedule:
    - cron: '0 0 * * *'
 
jobs:
  trigger_crowdin_tm:
    timeout-minutes: 30
    name: Crowdin Translation Memory Trigger
    runs-on: latchkey-small
    # Prevent this workflow from running (and failing) on forks
    if: github.repository == 'starship/starship'
    steps:
      - uses: starship/crowdin-pretranslate-action@05f21625b1486f1b77d53002fed82c4609247712 # v0.1.1
        with:
          project_id: 372655
          api_key: ${{ secrets.CROWDIN_API_TOKEN }}
 

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.