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Refactor serialization to use CSV for pandas DataFrames (#9) #17

Refactor serialization to use CSV for pandas DataFrames (#9)

Refactor serialization to use CSV for pandas DataFrames (#9) #17

Workflow file for this run

name: Generate documentation and deploy to GitHub pages
on:
# Documentation can be either manually updated or is automatically updated when a new release is created
workflow_dispatch:
push:
tags:
- "[0-9]+\\.[0-9]+\\.[0-9]+"
- "[0-9]+\\.[0-9]+\\.[0-9]+a[0-9]+"
- "[0-9]+\\.[0-9]+\\.[0-9]+b[0-9]+"
- "[0-9]+\\.[0-9]+\\.[0-9]+rc[0-9]+"
env:
UV_VERSION: 0.8.4
# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
pages: write
id-token: write
# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
deploy:
name: Build and deploy documentation site
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }} # Output URL after the workflow has finished
steps:
# Checkout repository including submodules
- name: Checkout
id: checkout
uses: actions/checkout@v4
with:
submodules: true
# Install dependencies using UV
- name: Install UV
id: uv
run: |
curl -LsSf "https://astral.sh/uv/${{ env.UV_VERSION }}/install.sh" | sh
# Build documentation to ./site/ directory
- name: Build Documentation
id: build
run: uv run mkdocs build
# Upload artifact from the ./site/ directory using the expected format for GitHub Pages
- name: Upload Artifact
id: upload
uses: actions/upload-pages-artifact@v3
with:
path: ./site/
# Use previously uploaded artifact to deploy to GitHub Pages
- name: Deploy
id: deploy
uses: actions/deploy-pages@v4