Upload Python Package workflow (reginabarzilaygroup/Sybil)
The Upload Python Package workflow from reginabarzilaygroup/Sybil, 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 Upload Python Package workflow from the reginabarzilaygroup/Sybil 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: Upload Python Package
on:
push:
tags:
- 'v*' # Push events to matching v*, i.e. v1.0, v20.15.10
jobs:
publish-package:
runs-on: ubuntu-latest
defaults:
run:
shell: bash -l {0}
steps:
- name: Checkout Repo
uses: actions/checkout@v2
with:
fetch-depth: 0 # avoids shallow checkout as needed by setuptools-scm
- name: Set up Python
uses: actions/setup-python@v1
with:
python-version: '3.x'
- name: Build Project
run: |
python -m pip install --upgrade pip setuptools tox twine
python -m tox -e clean,build
- name: Publish Test PyPi
env:
TWINE_USERNAME: ${{ secrets.TEST_PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.TEST_PYPI_PASSWORD }}
run: |
python -m twine check dist/*
python -m twine upload --repository testpypi dist/*
- name: Publish PyPi
env:
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
run: |
python -m twine check dist/*
python -m twine upload --repository pypi 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: Upload Python Package on: push: tags: - 'v*' # Push events to matching v*, i.e. v1.0, v20.15.10 concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: publish-package: timeout-minutes: 30 runs-on: latchkey-small defaults: run: shell: bash -l {0} steps: - name: Checkout Repo uses: actions/checkout@v2 with: fetch-depth: 0 # avoids shallow checkout as needed by setuptools-scm - name: Set up Python uses: actions/setup-python@v1 with: cache: 'pip' python-version: '3.x' - name: Build Project run: | python -m pip install --upgrade pip setuptools tox twine python -m tox -e clean,build - name: Publish Test PyPi env: TWINE_USERNAME: ${{ secrets.TEST_PYPI_USERNAME }} TWINE_PASSWORD: ${{ secrets.TEST_PYPI_PASSWORD }} run: | python -m twine check dist/* python -m twine upload --repository testpypi dist/* - name: Publish PyPi env: TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }} TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} run: | python -m twine check dist/* python -m twine upload --repository pypi 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.
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.