Build workflow (ESA-PhiLab/OpenSarToolkit)
The Build workflow from ESA-PhiLab/OpenSarToolkit, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Build workflow from the ESA-PhiLab/OpenSarToolkit 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: Build
on:
- push
- workflow_dispatch
env:
GPT_PATH: /usr/bin/gpt
jobs:
build:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: [3.7, 3.8]
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 GDAL
run: |
sudo add-apt-repository ppa:ubuntugis/ppa && sudo apt-get update
sudo apt-get update
sudo apt-get install gdal-bin
sudo apt-get install libgdal-dev
export CPLUS_INCLUDE_PATH=/usr/include/gdal
export C_INCLUDE_PATH=/usr/include/gdal
pip install GDAL==3.2.3
- name: Install dependencies
run: pip install .[dev]
- name: Test formatting
uses: psf/black@stable
- name: PEP8 rules
uses: tonybajan/flake8-check-action@v1.0.0
with:
repotoken: ${{ secrets.GITHUB_TOKEN }}
- name: test with pytest
run: coverage run -m pytest --color=yes tests
- name: coverage
run: coverage report -m
- name: codecov
run: bash <(curl -s https://codecov.io/bash)
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: Build on: - push - workflow_dispatch env: GPT_PATH: /usr/bin/gpt concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: latchkey-small strategy: fail-fast: false matrix: python-version: [3.7, 3.8] 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 GDAL run: | sudo add-apt-repository ppa:ubuntugis/ppa && sudo apt-get update sudo apt-get update sudo apt-get install gdal-bin sudo apt-get install libgdal-dev export CPLUS_INCLUDE_PATH=/usr/include/gdal export C_INCLUDE_PATH=/usr/include/gdal pip install GDAL==3.2.3 - name: Install dependencies run: pip install .[dev] - name: Test formatting uses: psf/black@stable - name: PEP8 rules uses: tonybajan/flake8-check-action@v1.0.0 with: repotoken: ${{ secrets.GITHUB_TOKEN }} - name: test with pytest run: coverage run -m pytest --color=yes tests - name: coverage run: coverage report -m - name: codecov run: bash <(curl -s https://codecov.io/bash)
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.
2 third-party actions are referenced by a movable tag. Pin them 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 (2 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.