tiatoolbox/.github/workflows/pip-install.yml at fb0f38b980ca4d27cd625ae9ab46c03b33d3f0a3 · TissueImageAnalytics/tiatoolbox · GitHub

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name: pip Install

on:
  push:
    paths:
      - "requirements*.yml"
      - "conda-env-create.yml"
      - "requirements/requirement*.txt"
      - "setup*py"
      - "setup*cfg"
      - "pyproject*toml"
      - "MANIFEST*in"
      - ".github/workflows/pip-install.yml"
  pull_request:
    paths:
      - "requirements*.yml"
      - "conda-env-create.yml"
      - "requirements/requirement*.txt"
      - "setup*py"
      - "setup*cfg"
      - "pyproject*toml"
      - "MANIFEST*in"
      - ".github/workflows/pip-install.yml"

permissions:
  contents: read

jobs:
  build:
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.11", "3.12", "3.13", "3.14"]
        os: [ubuntu-24.04, windows-latest, macos-latest]

    # Force UTF-8 everywhere (Windows is the one that really needs it)
    env:
      PYTHONUTF8: "1"
      PYTHONIOENCODING: "utf-8"

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Install Miniconda
        uses: conda-incubator/setup-miniconda@v3
        with:
          channels: conda-forge
          channel-priority: strict
          auto-update-conda: true

      # -------------------------------
      # Create environment (Linux/macOS)
      # -------------------------------
      - name: Create conda environment (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda create -y -n test-env python=${{ matrix.python-version }}
          conda activate test-env
          conda install -y openjpeg sqlite
          python -m pip install --upgrade pip setuptools wheel

      # -------------------------------
      # Create environment (Windows)
      # -------------------------------
      - name: Create conda environment (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda create -y -n test-env python=${{ matrix.python-version }}
          conda activate test-env
          conda install -y openjpeg sqlite
          python -m pip install --upgrade pip setuptools wheel

      # -------------------------------
      # Verify SQLite
      # -------------------------------
      - name: Verify SQLite (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda activate test-env
          sqlite3 --version
          sqlite3 ":memory:" -list ".output stdout" "pragma compile_options" ".exit"

      - name: Verify SQLite (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda activate test-env
          sqlite3 --version
          sqlite3 ":memory:" -list ".output stdout" "pragma compile_options" ".exit"

      # -------------------------------
      # Verify OpenJPEG
      # -------------------------------
      - name: Verify OpenJPEG (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda activate test-env
          opj_dump -h || true  # -h exits with code 1 in some builds

      - name: Verify OpenJPEG (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda activate test-env
          opj_dump -h || true  # -h exits with code 1 in some builds

      # -------------------------------
      # Install PyTorch (CPU-only)
      # -------------------------------
      - name: Install CPU-only PyTorch (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda activate test-env
          pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu

      - name: Install CPU-only PyTorch (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda activate test-env
          pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu

      # -------------------------------
      # (Windows only) make console UTF-8 (extra safety)
      # -------------------------------
      - name: Ensure UTF-8 console (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          chcp 65001 > $null
          [Console]::InputEncoding  = [System.Text.Encoding]::UTF8
          [Console]::OutputEncoding = [System.Text.Encoding]::UTF8

      # -------------------------------
      # Install tiatoolbox from this commit
      # -------------------------------
      - name: Install tiatoolbox (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda activate test-env
          pip install git+https://github.com/TissueImageAnalytics/tiatoolbox@${GITHUB_SHA}

      - name: Install tiatoolbox (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda activate test-env
          pip install git+https://github.com/TissueImageAnalytics/tiatoolbox@$env:GITHUB_SHA

      # -------------------------------
      # Test Imports
      # -------------------------------
      - name: Test Imports (Linux/macOS)
        if: runner.os != 'Windows'
        shell: bash
        run: |
          source $CONDA/etc/profile.d/conda.sh
          conda activate test-env
          python - << 'EOF'
          import tiatoolbox
          print("tiatoolbox:", tiatoolbox.__version__)
          import openslide
          print("openslide:", openslide.__version__)
          import torch
          print("torch:", torch.__version__)
          EOF

      - name: Test Imports (Windows)
        if: runner.os == 'Windows'
        shell: pwsh
        run: |
          conda activate test-env
          @"
          import tiatoolbox
          print("tiatoolbox:", tiatoolbox.__version__)
          import openslide
          print("openslide:", openslide.__version__)
          import torch
          print("torch:", torch.__version__)
          "@ | python -