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Deploy docs workflow (tensorflow/transform)

The Deploy docs workflow from tensorflow/transform, explained and optimized by Latchkey.

Source: tensorflow/transform.github/workflows/docs.ymlLicense Apache-2.0View source
C
CI health grade
69/100
Health score
1
Job per trigger
3
Fixes in the optimized version

In short

  1. CI health: C (fair)
  2. The optimized version below points runs-on at Latchkey managed runners and adds run de-duplication and job timeouts.

What it does

This is the Deploy docs workflow from the tensorflow/transform 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

workflow (.yml)
name: Deploy docs
on:
  workflow_dispatch:
  push:
    branches:
      - 'master'
  pull_request:
permissions:
  contents: write
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repo
        uses: actions/checkout@v4

      - name: Configure Git Credentials
        run: |
          git config user.name github-actions[bot]
          git config user.email 41898282+github-actions[bot]@users.noreply.github.com
        if: (github.event_name != 'pull_request')

      - name: Set up Python 3.9
        uses: actions/setup-python@v5
        with:
          python-version: '3.9'
          cache: 'pip'
          cache-dependency-path: |
            setup.py
            requirements-docs.txt

      - name: Save time for cache for mkdocs
        run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV

      - name: Caching
        uses: actions/cache@v4
        with:
          key: mkdocs-material-${{ env.cache_id }}
          path: .cache
          restore-keys: |
            mkdocs-material-

      - name: Install Dependencies
        run: pip install -r requirements-docs.txt

      - name: Deploy to GitHub Pages
        run: mkdocs gh-deploy --force
        if: (github.event_name != 'pull_request')

      - name: Build docs to check for errors
        run: mkdocs build
        if: (github.event_name == 'pull_request')

The same workflow, on Latchkey

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

workflow (.yml), optimized
name: Deploy docs
on:
  workflow_dispatch:
  push:
    branches:
      - 'master'
  pull_request:
permissions:
  contents: write
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  deploy:
    runs-on: ubuntu-latest
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - name: Checkout repo
        uses: actions/checkout@v4

      - name: Configure Git Credentials
        run: |
          git config user.name github-actions[bot]
          git config user.email 41898282+github-actions[bot]@users.noreply.github.com
        if: (github.event_name != 'pull_request')

      - name: Set up Python 3.9
        uses: actions/setup-python@v5
        with:
          python-version: '3.9'
          cache: 'pip'
          cache-dependency-path: |
            setup.py
            requirements-docs.txt

      - name: Save time for cache for mkdocs
        run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV

      - name: Caching
        uses: actions/cache@v4
        with:
          key: mkdocs-material-${{ env.cache_id }}
          path: .cache
          restore-keys: |
            mkdocs-material-

      - name: Install Dependencies
        run: pip install -r requirements-docs.txt

      - name: Deploy to GitHub Pages
        run: mkdocs gh-deploy --force
        if: (github.event_name != 'pull_request')

      - name: Build docs to check for errors
        run: mkdocs build
        if: (github.event_name == 'pull_request')

What changed

  1. Run on Latchkey managed runners with one line (runs-on), which apply the fixes below automatically and self-heal transient failures. Each Linux x64 job moves to the Latchkey size matching its vCPU count, latchkey-small for a standard 2 vCPU runner; macOS, Windows and arm64 jobs stay as written.
  2. Cancel superseded runs when a branch or PR gets a newer push.
  3. 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. It runs on a standard GitHub-hosted Linux x64 runner, which in a private repository bills $0.006 a minute against $0.0025 on latchkey-small, 58% lower; in a public repository like this one it is free. Estimate the monthly difference with your own run counts.

Actions used in this workflow

  • actions/checkout
  • actions/setup-python
  • actions/cache

Frequently asked questions

What does the Deploy docs workflow (tensorflow/transform) workflow do?
This is the Deploy docs workflow from the tensorflow/transform repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
What CI health grade does this workflow get?
This Python workflow grades C. Paste your own workflow into the Latchkey grader to see its grade and the exact fixes.
How can I improve this Python workflow?
Add run de-duplication and job timeouts. Latchkey applies these automatically on managed runners when you point runs-on at Latchkey.

References