build_linux.yml

# This is a basic workflow to help you get started with Actions

name: CD_LINUX

on: [push]

# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
  build_linux:
    # The type of runner that the job will run on
    runs-on: ubuntu-latest

    # Steps represent a sequence of tasks that will be executed as part of the job
    steps:
    - uses: actions/checkout@v2
    - run: git fetch --prune --unshallow
    - name: Setup Python 3.6
      uses: actions/setup-python@v1
      with:
        python-version: 3.6

    - name: Use Python Dependency Cache
      id: pip-cache
      uses: actions/cache@v1
      with:
        path: ~/.cache/pip
        key: ${{ runner.os }}-pip-${{ hashFiles('Dioptas.spec') }}-c2
        restore-keys: |
          ${{ runner.os }}-pip-c2

    - name: Install Apt Dependencies
      run: |
        sudo apt-get update
        sudo apt-get install libxkbcommon-x11-0 libxkbcommon-x11-dev libxcb-xinerama0  \
        libxkbcommon-dev libfontconfig1-dev libfreetype6-dev libx11-dev libx11-xcb-dev libxext-dev libxfixes-dev \
        libxi-dev libxrender-dev libxcb1-dev libxcb-glx0-dev libxcb-keysyms1-dev libxcb-image0-dev \
        libxcb-shm0-dev libxcb-icccm4-dev libxcb-sync0-dev libxcb-xfixes0-dev libxcb-shape0-dev \
        libxcb-randr0-dev libxcb-render-util0-dev

    - name: Install Pip Dependencies
      run: |
        pip install pycifrw pandas python-dateutil h5py scikit-image pyqt5 cython future qtpy pyfai lmfit \
                    pyepics extra_data pyinstaller watchdog pyopengl pyopengl-accelerate h5py hdf5plugin pyqtgraph \
                    sharedmem

    - name: Compile Smooth Bruckner
      run: cythonize -a -i dioptas/model/util/smooth_bruckner_cython.pyx

    - name: Run Dioptas from source to test and create version file
      run: xvfb-run python Dioptas.py test
        
    - name: Run PyInstaller
      run: bash create_executable.sh

    - name: Clean Up Executable Folder
      run: |
        cd dist/Dioptas*
        rm libQt5Quick.so.5 libQt5Qml.so.5 libQt5Network.so.5 libcrypto.so.1.1 libsqlite3.so.0
        rm -r imageio

    - name: Run Dioptas
      run: |
        cd dist/Dioptas*
        xvfb-run ./Dioptas test

    - name: Compress Executable
      run: |
        cd dist
        export DIOPTAS_FOLDER=$(ls | grep Dioptas)
        tar -zcvf $DIOPTAS_FOLDER.tar.gz $DIOPTAS_FOLDER
        du -sh $DIOPTAS_FOLDER.tar.gz

    - name: Upload Compressed App to Dropbox
      env:
        DROPBOX_TOKEN: ${{ secrets.DROPBOX_TOKEN }}
      run: |
        pip install dropbox
        cd dist
        export compressedFile=$(ls | grep .tar.gz)
        export targetFile='/develop/linux/'$compressedFile
        python ../scripts/dropbox_upload.py $compressedFile $targetFile