test workflow (dapper91/pydantic-xml)
The test workflow from dapper91/pydantic-xml, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the test workflow from the dapper91/pydantic-xml repository, a real project running GitHub Actions. It is shown here with attribution under its Unlicense license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: test
on:
pull_request:
branches:
- dev
- master
push:
branches:
- master
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13', '3.14']
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install poetry
poetry install --no-root -E lxml
- name: Run pre-commit hooks
run: poetry run pre-commit run --hook-stage merge-commit --all-files
- name: Run tests (lxml)
run: PYTHONPATH="$(pwd):$PYTHONPATH" poetry run py.test tests
- name: Run tests (std)
run: PYTHONPATH="$(pwd):$PYTHONPATH" FORCE_STD_XML=true poetry run py.test --cov=pydantic_xml --cov-report=xml tests
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
files: ./coverage.xml
flags: unittests
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: test on: pull_request: branches: - dev - master push: branches: - master concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: test: timeout-minutes: 30 runs-on: latchkey-small strategy: matrix: python-version: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13', '3.14'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Install dependencies run: | python -m pip install --upgrade pip pip install poetry poetry install --no-root -E lxml - name: Run pre-commit hooks run: poetry run pre-commit run --hook-stage merge-commit --all-files - name: Run tests (lxml) run: PYTHONPATH="$(pwd):$PYTHONPATH" poetry run py.test tests - name: Run tests (std) run: PYTHONPATH="$(pwd):$PYTHONPATH" FORCE_STD_XML=true poetry run py.test --cov=pydantic_xml --cov-report=xml tests - name: Upload coverage to Codecov uses: codecov/codecov-action@v5 with: token: ${{ secrets.CODECOV_TOKEN }} files: ./coverage.xml flags: unittests 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 useslatchkey-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 (7 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.