Continuous integration workflow (allenai/OLMoASR)
The Continuous integration workflow from allenai/OLMoASR, explained and optimized by Latchkey.
CI health: D - needs work
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Continuous integration workflow from the allenai/OLMoASR 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: Continuous integration
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Install
run: |
python3 -m venv .env
source .env/bin/activate
python -m pip install -U pip
make install-dev
- name: Lint
run: |
source .env/bin/activate
make lint
tests:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.8, '3.10']
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
run: |
python3 -m venv .env
source .env/bin/activate
make install
make install-dev
- name: Unit tests
run: |
source .env/bin/activate
make test
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: Continuous integration on: push: branches: - main pull_request: branches: - main concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: lint: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v2 - name: Set up Python 3.8 uses: actions/setup-python@v2 with: cache: 'pip' python-version: 3.8 - name: Install run: | python3 -m venv .env source .env/bin/activate python -m pip install -U pip make install-dev - name: Lint run: | source .env/bin/activate make lint tests: timeout-minutes: 30 runs-on: latchkey-small strategy: matrix: python-version: [3.8, '3.10'] 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 run: | python3 -m venv .env source .env/bin/activate make install make install-dev - name: Unit tests run: | source .env/bin/activate make test
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.
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 (3 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.