Python Tests workflow (prosysscience/JSSEnv)
The Python Tests workflow from prosysscience/JSSEnv, explained and optimized by Latchkey.
CI health: F - at risk
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What it does
This is the Python Tests workflow from the prosysscience/JSSEnv 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 Tests
on:
push:
branches: [ master, main ]
pull_request:
branches: [ master, main ]
jobs:
test:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
# Upgrade pip and core tools
python -m pip install --upgrade pip setuptools wheel
# Install gymnasium explicitly first
python -m pip install gymnasium==0.29.1
# Install numpy and pandas (version depends on Python version)
if [[ "${{ matrix.python-version }}" == "3.8" ]]; then
python -m pip install "numpy>=1.20.0,<1.24.0" "pandas>=1.3.0,<2.0.0"
elif [[ "${{ matrix.python-version }}" == "3.9" || "${{ matrix.python-version }}" == "3.10" ]]; then
python -m pip install "numpy>=1.20.0,<2.0.0" "pandas>=1.3.0,<2.1.0"
else
python -m pip install "numpy>=1.24.0" "pandas>=2.0.0"
fi
# Install other core dependencies
python -m pip install plotly imageio psutil requests kaleido
# Install development dependencies
python -m pip install pytest pytest-cov flake8 codecov
# Finally install the package in development mode
python -m pip install -e .
# List installed packages for debugging
python -m pip list
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics || true
# exit-zero treats all errors as warnings
flake8 . --count --exit-zero --max-line-length=120 --statistics
- name: Test with pytest and coverage
run: |
pytest -v --cov=JSSEnv tests/
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
with:
fail_ci_if_error: false
build-package:
needs: test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Install dependencies
run: |
python -m pip install --upgrade pip setuptools wheel
python -m pip install build
- name: Build package
run: |
python -m build
- name: Store build artifacts
uses: actions/upload-artifact@v4
with:
name: dist
path: dist/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: Python Tests on: push: branches: [ master, main ] pull_request: branches: [ master, main ] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: test: timeout-minutes: 30 runs-on: latchkey-small strategy: fail-fast: false matrix: python-version: ['3.8', '3.9', '3.10', '3.11', '3.12'] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Install dependencies run: | # Upgrade pip and core tools python -m pip install --upgrade pip setuptools wheel # Install gymnasium explicitly first python -m pip install gymnasium==0.29.1 # Install numpy and pandas (version depends on Python version) if [[ "${{ matrix.python-version }}" == "3.8" ]]; then python -m pip install "numpy>=1.20.0,<1.24.0" "pandas>=1.3.0,<2.0.0" elif [[ "${{ matrix.python-version }}" == "3.9" || "${{ matrix.python-version }}" == "3.10" ]]; then python -m pip install "numpy>=1.20.0,<2.0.0" "pandas>=1.3.0,<2.1.0" else python -m pip install "numpy>=1.24.0" "pandas>=2.0.0" fi # Install other core dependencies python -m pip install plotly imageio psutil requests kaleido # Install development dependencies python -m pip install pytest pytest-cov flake8 codecov # Finally install the package in development mode python -m pip install -e . # List installed packages for debugging python -m pip list - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics || true # exit-zero treats all errors as warnings flake8 . --count --exit-zero --max-line-length=120 --statistics - name: Test with pytest and coverage run: | pytest -v --cov=JSSEnv tests/ - name: Upload coverage to Codecov uses: codecov/codecov-action@v4 with: fail_ci_if_error: false build-package: timeout-minutes: 30 needs: test runs-on: latchkey-small steps: - uses: actions/checkout@v4 - name: Set up Python 3.10 uses: actions/setup-python@v5 with: cache: 'pip' python-version: '3.10' - name: Install dependencies run: | python -m pip install --upgrade pip setuptools wheel python -m pip install build - name: Build package run: | python -m build - name: Store build artifacts uses: actions/upload-artifact@v4 with: name: dist path: dist/
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 2 jobs (6 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.