Release workflow (pynamodb/PynamoDB)

The Release workflow from pynamodb/PynamoDB, explained and optimized by Latchkey.

What it does

This is the Release workflow from the pynamodb/PynamoDB 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: Release

on:
  release:
    types: [published]
  push:
    branches: [master]
  pull_request:
  workflow_dispatch:

jobs:
  deploy:
    runs-on: ubuntu-latest
    environment: release
    permissions:
      id-token: write
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.x'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install setuptools wheel twine
        python -m pip install -e .[signals] -r requirements-dev.txt

    - name: Build packages
      run: |
        python setup.py sdist bdist_wheel

    - name: Publish to PyPI
      uses: pypa/gh-action-pypi-publish@release/v1
      if: ${{ github.event_name == 'release' }}

    - name: Publish to Test PyPI
      uses: pypa/gh-action-pypi-publish@release/v1
      if: ${{ github.event_name == 'workflow_dispatch' }}
      with:
        repository_url: https://test.pypi.org/legacy/

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: Release
 
on:
  release:
    types: [published]
  push:
    branches: [master]
  pull_request:
  workflow_dispatch:
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  deploy:
    timeout-minutes: 30
    runs-on: latchkey-small
    environment: release
    permissions:
      id-token: write
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        cache: 'pip'
        python-version: '3.x'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install setuptools wheel twine
        python -m pip install -e .[signals] -r requirements-dev.txt
 
    - name: Build packages
      run: |
        python setup.py sdist bdist_wheel
 
    - name: Publish to PyPI
      uses: pypa/gh-action-pypi-publish@release/v1
      if: ${{ github.event_name == 'release' }}
 
    - name: Publish to Test PyPI
      uses: pypa/gh-action-pypi-publish@release/v1
      if: ${{ github.event_name == 'workflow_dispatch' }}
      with:
        repository_url: https://test.pypi.org/legacy/
 

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.
• 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.

1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.

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.

Actions used in this workflow