PyLS Release workflow (palantir/python-language-server)

The PyLS Release workflow from palantir/python-language-server, explained and optimized by Latchkey.

What it does

This is the PyLS Release workflow from the palantir/python-language-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: PyLS Release

on:
  release:
    types:
      - created


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: ['3.8']
    timeout-minutes: 10
    steps:
      - uses: actions/cache@v1
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-${{ hashFiles('setup.py') }}
          restore-keys: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-
      - uses: actions/checkout@v2
        with:
          fetch-depth: 0
      - uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.PYTHON_VERSION }}
          architecture: 'x64'
      - run: python -m pip install --upgrade pip setuptools wheel twine
      - name: Build and publish python-language-server
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.PYPI_PYLS_TOKEN }}
        run: |
          python setup.py bdist_wheel --universal
          python setup.py sdist
          python -m twine check dist/*
          python -m twine upload 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: PyLS Release
 
on:
  release:
    types:
      - created
 
 
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: ['3.8']
    timeout-minutes: 10
    steps:
      - uses: actions/cache@v1
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-${{ hashFiles('setup.py') }}
          restore-keys: ${{ runner.os }}-${{ matrix.PYTHON_VERSION }}-pip-
      - uses: actions/checkout@v2
        with:
          fetch-depth: 0
      - uses: actions/setup-python@v2
        with:
          cache: 'pip'
          python-version: ${{ matrix.PYTHON_VERSION }}
          architecture: 'x64'
      - run: python -m pip install --upgrade pip setuptools wheel twine
      - name: Build and publish python-language-server
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.PYPI_PYLS_TOKEN }}
        run: |
          python setup.py bdist_wheel --universal
          python setup.py sdist
          python -m twine check dist/*
          python -m twine upload 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 uses latchkey-small; pick the runner size that fits the job.
• Cache dependency installs on the setup step so they are served from cache.

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