Python application workflow (pe-st/garmin-connect-export)

The Python application workflow from pe-st/garmin-connect-export, explained and optimized by Latchkey.

What it does

This is the Python application workflow from the pe-st/garmin-connect-export 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

# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: Python application

on:
  push:
    branches:
      - master
      - 'feature/**'
  pull_request:
    branches: [ master ]

jobs:
  build:
    strategy:
      matrix:
        # it seems that garth is not ready for Python 3.14 yet
        # https://github.com/matin/garth/issues/148
        # version: ["3.10", "3.x"]
        version: ["3.10", "3.13"]

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v6
    - name: Set up Python 3.x
      uses: actions/setup-python@v6
      with:
        python-version: ${{ matrix.version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
    - name: Test with pytest
      run: |
        pip install pytest
        pytest
    - name: Lint with flake8
      run: |
        pip install flake8
        # flake8-import-order not needed anymore, pylint does this now
        flake8 .
    - name: Lint with pylint
      run: |
        pip install pylint
        pylint *.py

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.

# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 
name: Python application
 
on:
  push:
    branches:
      - master
      - 'feature/**'
  pull_request:
    branches: [ master ]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
    strategy:
      matrix:
        # it seems that garth is not ready for Python 3.14 yet
        # https://github.com/matin/garth/issues/148
        # version: ["3.10", "3.x"]
        version: ["3.10", "3.13"]
 
    runs-on: latchkey-small
 
    steps:
    - uses: actions/checkout@v6
    - name: Set up Python 3.x
      uses: actions/setup-python@v6
      with:
        cache: 'pip'
        python-version: ${{ matrix.version }}
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
    - name: Test with pytest
      run: |
        pip install pytest
        pytest
    - name: Lint with flake8
      run: |
        pip install flake8
        # flake8-import-order not needed anymore, pylint does this now
        flake8 .
    - name: Lint with pylint
      run: |
        pip install pylint
        pylint *.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 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.

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 (2 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow