Python code quality workflow (Azure-Samples/rag-postgres-openai-python)
The Python code quality workflow from Azure-Samples/rag-postgres-openai-python, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Python code quality workflow from the Azure-Samples/rag-postgres-openai-python 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: Python code quality
on:
push:
branches: [ main ]
paths:
- '**.py'
pull_request:
branches: [ main ]
paths:
- '**.py'
workflow_dispatch:
permissions:
contents: read
jobs:
checks-format-and-lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3
uses: actions/setup-python@v6
with:
python-version: "3.12"
cache: 'pip'
- name: Install dependencies
run: |
python3 -m pip install --upgrade pip
python3 -m pip install ruff
- name: Lint with ruff
run: ruff check .
- name: Check formatting with ruff
run: ruff format . --check
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Python code quality on: push: branches: [ main ] paths: - '**.py' pull_request: branches: [ main ] paths: - '**.py' workflow_dispatch: permissions: contents: read concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: checks-format-and-lint: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Set up Python 3 uses: actions/setup-python@v6 with: python-version: "3.12" cache: 'pip' - name: Install dependencies run: | python3 -m pip install --upgrade pip python3 -m pip install ruff - name: Lint with ruff run: ruff check . - name: Check formatting with ruff run: ruff format . --check
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 useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- 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.