test workflow (wemake-services/dump-env)
The test workflow from wemake-services/dump-env, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, 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 wemake-services/dump-env 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: test
on:
push:
branches:
- master
pull_request:
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
permissions:
contents: read
jobs:
build:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
steps:
- uses: actions/checkout@v7.0.0
with:
persist-credentials: false
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6.3.0
with:
python-version: ${{ matrix.python-version }}
- name: Install poetry
run: |
curl -sSL "https://install.python-poetry.org" | python
# Adding `poetry` to `$PATH`:
echo "$HOME/.poetry/bin" >> "$GITHUB_PATH"
- name: Install dependencies
run: |
poetry config virtualenvs.in-project true
poetry run pip install -U pip
poetry install --with docs
- name: Run tests
run: |
make test
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v7.0.0
with:
files: ./coverage.xml
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: push: branches: - master pull_request: workflow_dispatch: concurrency: group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} cancel-in-progress: true permissions: contents: read jobs: build: timeout-minutes: 30 runs-on: latchkey-small strategy: fail-fast: false matrix: python-version: ['3.10', '3.11', '3.12', '3.13', '3.14'] steps: - uses: actions/checkout@v7.0.0 with: persist-credentials: false - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v6.3.0 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Install poetry run: | curl -sSL "https://install.python-poetry.org" | python # Adding `poetry` to `$PATH`: echo "$HOME/.poetry/bin" >> "$GITHUB_PATH" - name: Install dependencies run: | poetry config virtualenvs.in-project true poetry run pip install -U pip poetry install --with docs - name: Run tests run: | make test - name: Upload coverage to Codecov uses: codecov/codecov-action@v7.0.0 with: files: ./coverage.xml
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. - 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
- Network fetches
This workflow runs 1 job (5 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.