Delete Stale Spaces workflow (gradio-app/gradio)
The Delete Stale Spaces workflow from gradio-app/gradio, 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 Delete Stale Spaces workflow from the gradio-app/gradio repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
# safe runs from main
name: Delete Stale Spaces
on:
schedule:
- cron: "0 0 * * *"
workflow_dispatch:
inputs:
daysStale:
description: "How stale a space needs to be to be deleted (days)"
required: true
default: "7"
permissions: {}
jobs:
delete-old-spaces:
permissions:
contents: read
environment: deploy_spaces
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install pip
run: python -m pip install pip wheel requests
- name: Install Hub Client Library
run: pip install huggingface-hub==0.9.1
- name: Set daysStale
env:
DEFAULT_DAYS_STALE: "7"
DAYS_STALE: ${{ github.event.inputs.daysStale || env.DEFAULT_DAYS_STALE}}
run: echo DAYS_STALE= "$DAYS_STALE" >> $GITHUB_ENV
- name: Find and delete stale spaces
run: |
python scripts/delete_old_spaces.py $DAYS_STALE \
gradio-pr-deploys \
${{ secrets.WEBSITE_SPACES_DEPLOY_TOKEN }}
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.
# safe runs from main name: Delete Stale Spaces on: schedule: - cron: "0 0 * * *" workflow_dispatch: inputs: daysStale: description: "How stale a space needs to be to be deleted (days)" required: true default: "7" permissions: {} jobs: delete-old-spaces: timeout-minutes: 30 permissions: contents: read environment: deploy_spaces runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Install Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: "3.12" - name: Install pip run: python -m pip install pip wheel requests - name: Install Hub Client Library run: pip install huggingface-hub==0.9.1 - name: Set daysStale env: DEFAULT_DAYS_STALE: "7" DAYS_STALE: ${{ github.event.inputs.daysStale || env.DEFAULT_DAYS_STALE}} run: echo DAYS_STALE= "$DAYS_STALE" >> $GITHUB_ENV - name: Find and delete stale spaces run: | python scripts/delete_old_spaces.py $DAYS_STALE \ gradio-pr-deploys \ ${{ secrets.WEBSITE_SPACES_DEPLOY_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 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 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.