torchhydro/.github/workflows/build.yml at d53243b31986cd13457a69bfb8fefadc6ea5dd41 · OuyangWenyu/torchhydro · GitHub

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on:
    push:
        branches:
            - main
            - dev
    pull_request:
        branches:
            - main
            - dev

name: build
jobs:
    py-check:
        runs-on: ${{ matrix.config.os }}
        name: ${{ matrix.config.os }} (${{ matrix.config.py }})
        strategy:
            fail-fast: false
            matrix:
                config:
                    - { os: ubuntu-latest, py: "3.10" }
                    - { os: ubuntu-latest, py: "3.11" }
                    - { os: ubuntu-latest, py: "3.12" }

        env:
            UV_NO_SOURCES: "1"

        steps:
            - name: CHECKOUT CODE
              uses: actions/checkout@v4

            - name: Cache pip dependencies
              uses: actions/cache@v3
              with:
                path: ~/.cache/pip
                key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}
                restore-keys: |
                  ${{ runner.os }}-pip-

            - name: SETUP UV
              uses: astral-sh/setup-uv@v3
              with:
                  enable-cache: true
                  cache-dependency-glob: "uv.lock"

            - name: SETUP PYTHON
              run: uv python install ${{ matrix.config.py }}

            - name: Install dependencies
              run: |
                  # 使用 uv 安装依赖
                  uv sync --extra dev

                  # 针对 PyTorch Geometric 编译问题的解决方案
                  uv pip uninstall torch-scatter torch-sparse torch-cluster -y || true
                  uv pip install torch-geometric

#            - name: Create hydro_setting.yml directly in workflow
#              run: |
#                echo "Creating hydro_setting.yml..."
#                cat <<EOF > /root/hydro_setting.yml
#                minio:
#                  server_url: ''
#                  client_endpoint: ''
#                  access_key: ''
#                  secret: ''
#
#                local_data_path:
#                  root: ''
#                  datasets-origin: '/home/runner/.hydrodataset/cache/waterism/datasets-origin/camels/camels_us/' # set your path here
#                  datasets-interim: ''
#                  basins-origin: ''
#                  basins-interim: '/home/runner/.hydrodataset/cache/'
#                  cache: ''
#
#                postgres:
#                  server_url: ''
#                  port: 0
#                  username: ''
#                  password: ''
#                  database: ''
#                EOF
#                cat /root/hydro_setting.yml || echo "Failed to read the file"
#
#            - name: Download Camels data
#              run: |
#                  uv run kaggle datasets download -d headwater/Camels -p /home/runner/.hydrodataset/cache/waterism/datasets-origin/camels/camels_us/ --unzip
#                  uv run kaggle datasets download -d headwater/Camels -p /home/runner/.hydrodataset/cache/ --unzip
#              env:
#                  KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
#                  KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
#
            - name: PKG-TEST
              run: |
                  uv run pytest -m "not requires_data and not requires_gpu" tests