cache.yml

name: Build Cache [using jupyter-book]
on:
  push:
    branches:
      - main
jobs:
  deploy-runner:
    runs-on: ubuntu-latest
    steps:
      - uses: iterative/setup-cml@v1
      - uses: actions/checkout@v4
        with:
          ref: ${{ github.event.pull_request.head.sha }}
      - name: Deploy runner on EC2
        env:
          REPO_TOKEN: ${{ secrets.QUANTECON_SERVICES_PAT }}
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        run: |
          cml runner launch \
              --cloud=aws \
              --cloud-region=us-west-2 \
              --cloud-type=p3.2xlarge \
              --labels=cml-gpu \
              --cloud-hdd-size=40
  cache:
    needs: deploy-runner
    runs-on: [self-hosted, cml-gpu]
    container:
      image: docker://mmcky/quantecon-lecture-python:cuda-12.1.0-anaconda-2023-09-py311-c
      options: --gpus all
    steps:
      - uses: actions/checkout@v4
        with:
          ref: ${{ github.event.pull_request.head.sha }}
      - name: Check nvidia drivers
        shell: bash -l {0}
        run: |
          nvidia-smi
      - name: Build HTML
        shell: bash -l {0}
        run: |
          jb build lectures --path-output ./ -W --keep-going
      - name: Upload Execution Reports
        uses: actions/upload-artifact@v4
        if: failure()
        with:
          name: execution-reports
          path: _build/html/reports
      - name: Upload "_build" folder (cache)
        uses: actions/upload-artifact@v4
        with:
          name: build-cache
          path: _build