Push rapid_table_det_v to pypi workflow (RapidAI/RapidTableDetection)
The Push rapid_table_det_v to pypi workflow from RapidAI/RapidTableDetection, explained and optimized by Latchkey.
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What it does
This is the Push rapid_table_det_v to pypi workflow from the RapidAI/RapidTableDetection 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 rapid_table_det_v to pypi
on:
push:
tags:
- rapid_table_det_paddle_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 paddlepaddle-gpu
pip install pytest
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/cls_det_paddle.zip
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/obj_det_paddle.zip
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/edge_det_paddle.zip
unzip cls_det_paddle.zip
unzip obj_det_paddle.zip
unzip edge_det_paddle.zip
mv *.pd* rapid_table_det_paddle/models/
pytest tests/test_table_det_paddle.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
pip install paddlepaddle-gpu
python -m pip install --upgrade pip
pip install wheel get_pypi_latest_version
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/cls_det_paddle.zip
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/obj_det_paddle.zip
wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/edge_det_paddle.zip
unzip cls_det_paddle.zip
unzip obj_det_paddle.zip
unzip edge_det_paddle.zip
mv *.pd* rapid_table_det_paddle/models/
python setup_rapid_table_det_paddle.py bdist_wheel "${{ github.ref_name }}"
- name: Publish distribution 📦 to PyPI
uses: pypa/gh-action-pypi-publish@v1.5.0
with:
password: ${{ secrets.PYPI_API_TOKEN }}
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 rapid_table_det_v to pypi on: push: tags: - rapid_table_det_paddle_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 paddlepaddle-gpu pip install pytest wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/cls_det_paddle.zip wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/obj_det_paddle.zip wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/edge_det_paddle.zip unzip cls_det_paddle.zip unzip obj_det_paddle.zip unzip edge_det_paddle.zip mv *.pd* rapid_table_det_paddle/models/ pytest tests/test_table_det_paddle.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 pip install paddlepaddle-gpu python -m pip install --upgrade pip pip install wheel get_pypi_latest_version wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/cls_det_paddle.zip wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/obj_det_paddle.zip wget https://github.com/Joker1212/RapidTableDetection/releases/download/v0.0.0/edge_det_paddle.zip unzip cls_det_paddle.zip unzip obj_det_paddle.zip unzip edge_det_paddle.zip mv *.pd* rapid_table_det_paddle/models/ python setup_rapid_table_det_paddle.py bdist_wheel "${{ github.ref_name }}" - name: Publish distribution 📦 to PyPI uses: pypa/gh-action-pypi-publish@v1.5.0 with: password: ${{ secrets.PYPI_API_TOKEN }} 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
- Network fetches
This workflow runs 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.