Codecov Coverage workflow (eli64s/readme-ai)

The Codecov Coverage workflow from eli64s/readme-ai, explained and optimized by Latchkey.

What it does

This is the Codecov Coverage workflow from the eli64s/readme-ai 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: Codecov Coverage

on: [push, pull_request]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Set up Python
        uses: actions/setup-python@v2
        with:
          python-version: '3.x'

      - name: Install Poetry
        run: |
          python -m pip install --upgrade pip
          pip install poetry

      - name: Install dependencies
        run: |
          poetry install --with anthropic,google-generativeai

      - name: Run tests with coverage
        run: |
          poetry run pytest -n auto --asyncio-mode=auto --cov=. --cov-report=xml --cov-report=term-missing

      - name: Upload coverage reports to Codecov
        uses: codecov/codecov-action@v3
        env:
          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
          file: ./coverage.xml
          fail_ci_if_error: true

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: Codecov Coverage
 
on: [push, pull_request]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - uses: actions/checkout@v3
 
      - name: Set up Python
        uses: actions/setup-python@v2
        with:
          cache: 'pip'
          python-version: '3.x'
 
      - name: Install Poetry
        run: |
          python -m pip install --upgrade pip
          pip install poetry
 
      - name: Install dependencies
        run: |
          poetry install --with anthropic,google-generativeai
 
      - name: Run tests with coverage
        run: |
          poetry run pytest -n auto --asyncio-mode=auto --cov=. --cov-report=xml --cov-report=term-missing
 
      - name: Upload coverage reports to Codecov
        uses: codecov/codecov-action@v3
        env:
          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
          file: ./coverage.xml
          fail_ci_if_error: true
 

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