testing_daily.yml

name: Daily Testing

on:
    schedule:
        # https://crontab.guru. Run everyday at 0:00AM UTC, i.e. 08:00AM Beijing, i.e. 08:00PM Montreal (summer time)
        -   cron: "0 0 * * *"

jobs:
    daily-testing:
        runs-on: ${{ matrix.os }}
        defaults:
            run:
                shell: bash {0}
        strategy:
            fail-fast: false
            matrix:
                os: [ubuntu-latest, windows-latest, macOS-latest]
                python-version: ["3.7", "3.10"]
                torch-version: ["1.13.1"]
        steps:
            - name: Check out the repo code
              uses: actions/checkout@v3

            - name: Determine the Python version
              uses: haya14busa/action-cond@v1
              id: condval
              with:
                cond: ${{ matrix.python-version == 3.7 && matrix.os == 'macOS-latest' }}
                # Note: the latest 3.7 subversion 3.7.17 for MacOS has "ModuleNotFoundError: No module named '_bz2'"
                if_true: "3.7.16"
                if_false: ${{ matrix.python-version }}

            - uses: actions/setup-python@v4
              with:
                python-version: ${{ steps.condval.outputs.value }}
                check-latest: true
                cache: pip
                cache-dependency-path: |
                  requirements.txt

            - name: Install PyTorch ${{ matrix.torch-version }}+cpu
              # we have to install torch in advance because torch_sparse needs it for compilation,
              # refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details
              run: |
                  which python
                  which pip
                  python -m pip install --upgrade pip
                  pip install torch==${{ matrix.torch-version }} -f https://download.pytorch.org/whl/cpu
                  python -c "import torch; print('PyTorch:', torch.__version__)"

            - name: Install other dependencies
              run: |
                  pip install https://github.com/WenjieDu/PyPOTS/archive/main.zip 
                  pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html"
                  pip install jupyterlab

            - name: Fetch the test environment details
              run: |
                  which python
                  pip list
            
            - name: Test all notebook files
              run: |
                  ipython -c "%run PyPOTS_Imputation.ipynb"
                  ipython -c "%run PyPOTS_Classification.ipynb"
                  ipython -c "%run PyPOTS_Clustering.ipynb"
                  ipython -c "%run PyPOTS_Forecasting.ipynb"