python-slr-data-visualizer/.github/workflows/compile.yml at main · KeremDUZENLI/python-slr-data-visualizer · GitHub

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name: Build Executables

on:
  workflow_dispatch:

jobs:
  build:
    name: Build on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [windows-latest, ubuntu-latest, macos-latest]

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

      - name: Set up Python 3.13
        uses: actions/setup-python@v5
        with:
          python-version: "3.13"

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install streamlit plotly matplotlib graphviz kaleido pyinstaller

      # Windows
      - name: Compile Windows
        if: matrix.os == 'windows-latest'
        run: |
          pyinstaller --noconfirm --onefile \
            --name DataVisualizer_Windows \
            --add-data "web_app.py;." \
            --add-data "data/dataset.example.csv;data" \
            --hidden-import web_app \
            --collect-all streamlit \
            --collect-all plotly \
            --copy-metadata streamlit \
            web_run.py

      # Linux
      - name: Compile Linux
        if: matrix.os == 'ubuntu-latest'
        run: |
          python3 -m PyInstaller --noconfirm --onefile \
            --name DataVisualizer_Linux \
            --add-data "web_app.py:." \
            --add-data "data/dataset.example.csv:data" \
            --hidden-import web_app \
            --collect-all streamlit \
            --collect-all plotly \
            --copy-metadata streamlit \
            web_run.py

      # MacOS
      - name: Compile macOS
        if: matrix.os == 'macos-latest'
        run: |
          python3 -m PyInstaller --noconfirm --onefile \
            --name DataVisualizer_MacOS \
            --add-data "web_app.py:." \
            --add-data "data/dataset.example.csv:data" \
            --hidden-import web_app \
            --collect-all streamlit \
            --collect-all plotly \
            --copy-metadata streamlit \
            web_run.py

      # Artifacts
      - name: Upload Windows File
        if: matrix.os == 'windows-latest'
        uses: actions/upload-artifact@v4
        with:
          name: DataVisualizer_Windows
          path: dist/DataVisualizer_Windows.exe

      - name: Upload Linux File
        if: matrix.os == 'ubuntu-latest'
        uses: actions/upload-artifact@v4
        with:
          name: DataVisualizer_Linux
          path: dist/DataVisualizer_Linux

      - name: Upload macOS File
        if: matrix.os == 'macos-latest'
        uses: actions/upload-artifact@v4
        with:
          name: DataVisualizer_MacOS
          path: dist/DataVisualizer_MacOS