Build README workflow (tw93/tw93)
The Build README workflow from tw93/tw93, 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 Build README workflow from the tw93/tw93 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
name: Build README
on:
push:
workflow_dispatch:
schedule:
- cron: '0 */6 * * *'
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Check out repo
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: 3.8
- uses: actions/cache@v4
name: Configure pip caching
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install Python dependencies
run: |
python -m pip install --upgrade pip
python -m pip install -r requirements.txt
- name: Update README
env:
GH_TOKEN: ${{ secrets.GH_TOKEN }}
run: |-
python build_readme.py
cat README.md
- name: Commit and push if changed
run: |-
git diff
git config --global user.email "github-actions[bot]@users.noreply.github.com"
git config --global user.name "github-actions[bot]"
git pull
git add -A
git commit -m "Updated content" || exit 0
git push
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.
name: Build README on: push: workflow_dispatch: schedule: - cron: '0 */6 * * *' concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: latchkey-small steps: - name: Check out repo uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v2 with: cache: 'pip' python-version: 3.8 - uses: actions/cache@v4 name: Configure pip caching with: path: ~/.cache/pip key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} restore-keys: | ${{ runner.os }}-pip- - name: Install Python dependencies run: | python -m pip install --upgrade pip python -m pip install -r requirements.txt - name: Update README env: GH_TOKEN: ${{ secrets.GH_TOKEN }} run: |- python build_readme.py cat README.md - name: Commit and push if changed run: |- git diff git config --global user.email "github-actions[bot]@users.noreply.github.com" git config --global user.name "github-actions[bot]" git pull git add -A git commit -m "Updated content" || exit 0 git push
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.