Check SDK Regulation workflow (coze-dev/coze-py)
The Check SDK Regulation workflow from coze-dev/coze-py, explained and optimized by Latchkey.
CI health: D - needs work
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Check SDK Regulation workflow from the coze-dev/coze-py 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: Check SDK Regulation
on:
push:
branches:
- main
pull_request:
merge_group:
permissions: write-all
jobs:
default:
runs-on: ubuntu-latest
strategy:
fail-fast: false
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.11"
- name: Install Dependencies
run: |
pip install poetry
poetry install
- name: Check SDK Regulation
run: |
python .github/workflows/check_sdk_regulation.pyThe 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.
name: Check SDK Regulation on: push: branches: - main pull_request: merge_group: permissions: write-all concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: default: timeout-minutes: 30 runs-on: latchkey-small strategy: fail-fast: false steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: cache: 'pip' python-version: "3.11" - name: Install Dependencies run: | pip install poetry poetry install - name: Check SDK Regulation run: | python .github/workflows/check_sdk_regulation.py
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 - Cancel superseded runs when a branch or PR gets a newer push.
- 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.