Linux tests workflow (python-lsp/python-lsp-server)
The Linux tests workflow from python-lsp/python-lsp-server, explained and optimized by Latchkey.
CI health: B - good
Point runs-on at Latchkey and get caching, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Linux tests workflow from the python-lsp/python-lsp-server 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: Linux tests
on:
push:
branches:
- develop
pull_request:
branches:
- '*'
concurrency:
group: test-linux-${{ github.ref }}
cancel-in-progress: true
jobs:
build:
name: Linux Py${{ matrix.PYTHON_VERSION }}
runs-on: ubuntu-latest
env:
CI: 'true'
OS: 'linux'
PYTHON_VERSION: ${{ matrix.PYTHON_VERSION }}
strategy:
fail-fast: false
matrix:
PYTHON_VERSION: ['3.14', '3.13', '3.12', '3.11', '3.10', '3.9']
timeout-minutes: 10
steps:
- uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-${{ hashFiles('pyproject.toml') }}
restore-keys: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.PYTHON_VERSION }}
architecture: 'x64'
- name: Create Jedi environment for testing
run: |
python3 -m venv /tmp/pyenv
/tmp/pyenv/bin/python -m pip install loghub
- run: python -m pip install --upgrade pip setuptools
- run: pip install -e .[all,test]
- name: Show test environment
run: pip list
- run: pytest --color=yes -v test/
# Enable this if SSH debugging is required
# - name: Setup tmate session
# uses: mxschmitt/action-tmate@v3
# if: ${{ failure() }}
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: Linux tests on: push: branches: - develop pull_request: branches: - '*' concurrency: group: test-linux-${{ github.ref }} cancel-in-progress: true jobs: build: name: Linux Py${{ matrix.PYTHON_VERSION }} runs-on: latchkey-small env: CI: 'true' OS: 'linux' PYTHON_VERSION: ${{ matrix.PYTHON_VERSION }} strategy: fail-fast: false matrix: PYTHON_VERSION: ['3.14', '3.13', '3.12', '3.11', '3.10', '3.9'] timeout-minutes: 10 steps: - uses: actions/cache@v4 with: path: ~/.cache/pip key: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-${{ hashFiles('pyproject.toml') }} restore-keys: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip- - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: cache: 'pip' python-version: ${{ matrix.PYTHON_VERSION }} architecture: 'x64' - name: Create Jedi environment for testing run: | python3 -m venv /tmp/pyenv /tmp/pyenv/bin/python -m pip install loghub - run: python -m pip install --upgrade pip setuptools - run: pip install -e .[all,test] - name: Show test environment run: pip list - run: pytest --color=yes -v test/ # Enable this if SSH debugging is required # - name: Setup tmate session # uses: mxschmitt/action-tmate@v3 # if: ${{ failure() }}
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.
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 (6 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.