Push table_cls to pypi workflow (RapidAI/TableStructureRec)
The Push table_cls to pypi workflow from RapidAI/TableStructureRec, 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 Push table_cls to pypi workflow from the RapidAI/TableStructureRec repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Push table_cls to pypi
on:
push:
# branches: [ main ]
# paths:
# - 'table_cls/**'
tags:
- table_cls_v*
jobs:
UnitTesting:
runs-on: ubuntu-latest
steps:
- name: Pull latest code
uses: actions/checkout@v3
- name: Set up Python 3.10
uses: actions/setup-python@v4
with:
python-version: '3.10'
architecture: 'x64'
- name: Display Python version
run: python -c "import sys; print(sys.version)"
- name: Unit testings
run: |
pip install -r requirements.txt
pip install pytest beautifulsoup4
pytest tests/test_table_cls.py
GenerateWHL_PushPyPi:
needs: UnitTesting
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python 3.10
uses: actions/setup-python@v4
with:
python-version: '3.10'
architecture: 'x64'
- name: Run setup.py
run: |
pip install -r requirements.txt
python -m pip install --upgrade pip
pip install wheel get_pypi_latest_version
python setup_table_cls.py bdist_wheel "${{ github.ref_name }}"
- name: Publish distribution 📦 to PyPI
uses: pypa/gh-action-pypi-publish@v1.5.0
with:
password: ${{ secrets.TABLE_CLS }}
packages_dir: 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: Push table_cls to pypi on: push: # branches: [ main ] # paths: # - 'table_cls/**' tags: - table_cls_v* concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: UnitTesting: timeout-minutes: 30 runs-on: latchkey-small steps: - name: Pull latest code uses: actions/checkout@v3 - name: Set up Python 3.10 uses: actions/setup-python@v4 with: cache: 'pip' python-version: '3.10' architecture: 'x64' - name: Display Python version run: python -c "import sys; print(sys.version)" - name: Unit testings run: | pip install -r requirements.txt pip install pytest beautifulsoup4 pytest tests/test_table_cls.py GenerateWHL_PushPyPi: timeout-minutes: 30 needs: UnitTesting runs-on: latchkey-small steps: - uses: actions/checkout@v3 - name: Set up Python 3.10 uses: actions/setup-python@v4 with: cache: 'pip' python-version: '3.10' architecture: 'x64' - name: Run setup.py run: | pip install -r requirements.txt python -m pip install --upgrade pip pip install wheel get_pypi_latest_version python setup_table_cls.py bdist_wheel "${{ github.ref_name }}" - name: Publish distribution 📦 to PyPI uses: pypa/gh-action-pypi-publish@v1.5.0 with: password: ${{ secrets.TABLE_CLS }} packages_dir: 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.
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 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.