Python package workflow (deedy5/ddgs)
The Python package workflow from deedy5/ddgs, explained and optimized by Latchkey.
CI health: D - needs work
Run this on Latchkey for self-healing, caching, and up to 58% lower cost.
Grade your own workflow free or run it on Latchkey →What it does
This is the Python package workflow from the deedy5/ddgs 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 variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Python package
on:
push:
branches: [ '*' ]
pull_request:
branches: [ '*' ]
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
#max-parallel: 1
matrix:
python-version: ["3.10", "3.14"]
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@v5
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash
run: |
python -m pip install -U pip
python -m pip install .[dev,api,mcp]
- name: Ruff
run: |
ruff check .
ruff format . --check
- name: Mypy
run: |
mypy --install-types --non-interactive .
- name: Pytest
id: pytest
continue-on-error: true
run: |
pytest -v
- name: Pytest re-run failures
if: steps.pytest.outcome == 'failure'
run: |
pytest -v --lf
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 variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: Python package on: push: branches: [ '*' ] pull_request: branches: [ '*' ] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: ${{ matrix.os }} strategy: fail-fast: false #max-parallel: 1 matrix: python-version: ["3.10", "3.14"] os: [ubuntu-latest, macos-latest, windows-latest] steps: - uses: actions/checkout@v5 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v6 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Install dependencies shell: bash run: | python -m pip install -U pip python -m pip install .[dev,api,mcp] - name: Ruff run: | ruff check . ruff format . --check - name: Mypy run: | mypy --install-types --non-interactive . - name: Pytest id: pytest continue-on-error: true run: | pytest -v - name: Pytest re-run failures if: steps.pytest.outcome == 'failure' run: | pytest -v --lf
What changed
- 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 (6 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.