Upload Python Package workflow (AuvaLab/itext2kg)

The Upload Python Package workflow from AuvaLab/itext2kg, explained and optimized by Latchkey.

What it does

This is the Upload Python Package workflow from the AuvaLab/itext2kg 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: Upload Python Package

on:
  release:
    types: [published]

jobs:
  deploy:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: '3.x'  

    - name: Install build dependencies
      run: |
        python -m pip install --upgrade pip
        pip install build twine

    - name: Build the package
      run: |
        python -m build

    - name: Publish the package
      env:
        TWINE_USERNAME: __token__
        TWINE_PASSWORD: ${{ secrets.PYPI_API_KEY }}
      run: |
        twine upload dist/*

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: Upload Python Package
 
on:
  release:
    types: [published]
 
jobs:
  deploy:
    timeout-minutes: 30
    runs-on: latchkey-small
 
    steps:
    - uses: actions/checkout@v3
    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        cache: 'pip'
        python-version: '3.x'  
 
    - name: Install build dependencies
      run: |
        python -m pip install --upgrade pip
        pip install build twine
 
    - name: Build the package
      run: |
        python -m build
 
    - name: Publish the package
      env:
        TWINE_USERNAME: __token__
        TWINE_PASSWORD: ${{ secrets.PYPI_API_KEY }}
      run: |
        twine upload dist/*
 

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.
• 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.

Actions used in this workflow