WenjieDu/PyPOTS

name: CI

on:
    push:
        branches:
            - main
            - dev
            - temp_test_branch  # if in need, create such a temporary branch to test some functions
    pull_request:
        branches:
            - dev

jobs:
    CI-testing:
        runs-on: ${{ matrix.os }}
        defaults:
            run:
                shell: bash
        strategy:
            fail-fast: false
            matrix:
                os: [ubuntu-latest, windows-latest, macOS-latest]
                python-version: ["3.8", "3.11"]
                pytorch-version: ["2.3.0"]

        steps:
            - name: Check out the repo code
              uses: actions/checkout@v3

            - name: Set up Python
              uses: actions/setup-python@v4
              with:
                python-version: ${{ matrix.python-version }}
                check-latest: true
                cache: pip
                cache-dependency-path: |
                  setup.cfg

            - name: Install PyTorch ${{ matrix.pytorch-version }}+cpu
              # we have to install torch in advance because torch_sparse needs it for compilation,
              # refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details
              run: |
                  which python
                  which pip
                  pip install numpy==1.24 torch==${{ matrix.pytorch-version }} -f https://download.pytorch.org/whl/cpu
                  python -c "import torch; print('PyTorch:', torch.__version__)"

            - name: Install other dependencies
              run: |
                  pip install -r requirements.txt

            - name: Test building package
              # we need to know if the package can be built successfully without optional dependencies
              run: |
                  pip install build wheel
                  python -m build --no-isolation

            - name: Continue to install torch-geometric dependencies
              run: |
                  pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ matrix.pytorch-version }}+cpu.html"
                  pip install pypots[dev]
                  python_site_path=`python -c "import site; print(site.getsitepackages()[0])"`
                  echo "python site-packages path: $python_site_path"
                  rm -rf $python_site_path/pypots
                  python -c "import shutil;import site;shutil.copytree('pypots',site.getsitepackages()[0]+'/pypots')"

            - name: Fetch the test environment details
              run: |
                  which python
                  pip list

            - name: Test with pytest
              run: |
                  rm -rf testing_results && rm -rf tests/__pycache__ && rm -rf tests/*/__pycache__
                  python tests/global_test_config.py
                  python -m pytest -rA tests/*/* -s -n auto --cov=pypots --dist=loadgroup --cov-config=.coveragerc

            - name: Generate the LCOV report
              run: |
                  python -m coverage lcov

            - name: Submit the report
              uses: coverallsapp/github-action@master
              with:
                  github-token: ${{ secrets.GITHUB_TOKEN }}
                  path-to-lcov: "coverage.lcov"