vgmstream/.github/workflows/cmake-lx.yml

# github workflow to automate builds

name: Linux build

on: [push, pull_request, workflow_dispatch]

env:
  # Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
  BUILD_TYPE: Release

jobs:
  build:
    # The CMake configure and build commands are platform agnostic and should work equally
    # well on Windows or Mac.  You can convert this to a matrix build if you need
    # cross-platform coverage.
    # See: https://docs.github.com/en/actions/configuring-and-managing-workflows/configuring-a-workflow#configuring-a-build-matrix
    name: CMake, Ubuntu
    runs-on: ubuntu-18.04

    steps:
    - uses: actions/checkout@v2
    
    - name: Fetch Git tags
      run: |
        git fetch --prune --unshallow --tags
    
    - name: Install dependencies
      run: |
        sudo apt-get update
        sudo apt-get install -y libvorbis-dev libjansson-dev yasm libopus-dev

    - name: Create build environment
      # Some projects don't allow in-source building, so create a separate build directory
      # We'll use this as our working directory for all subsequent commands
      run: cmake -E make_directory ${{runner.workspace}}/build

    - name: Cache celt
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/dependencies/celt-0061
          ${{runner.workspace}}/dependencies/celt-0110
          ${{runner.workspace}}/build/dependencies/celt-0061/libcelt/.libs
          ${{runner.workspace}}/build/dependencies/celt-0110/libcelt/.libs
        key: linux-celt-${{ hashFiles('cmake/dependencies/celt.cmake') }}

    - name: Cache ffmpeg
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/build/dependencies/ffmpeg/bin/usr/local/include
          ${{runner.workspace}}/build/dependencies/ffmpeg/bin/usr/local/lib
        key: linux-ffmpeg-${{ hashFiles('cmake/dependencies/ffmpeg.cmake') }}

    - name: Cache atrac9
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/build/dependencies/LibAtrac9/bin
        key: linux-atrac9-${{ hashFiles('cmake/dependencies/atrac9.cmake') }}

    - name: Cache g719
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/build/dependencies/libg719_decode/libg719_decode.a
        key: linux-g719-${{ hashFiles('cmake/dependencies/g719.cmake') }}

    - name: Cache mpg123
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/dependencies/mpg123
          ${{runner.workspace}}/build/dependencies/mpg123/src/libmpg123/.libs
        key: linux-mpg123-${{ hashFiles('cmake/dependencies/mpg123.cmake') }}

    - name: Cache speex
      uses: actions/cache@v2
      with:
        path: |
          ${{runner.workspace}}/build/dependencies/speex/libspeex/.libs
        key: linux-speex-${{ hashFiles('cmake/dependencies/speex.cmake') }}

    - name: Configure CMake
      # Use a bash shell so we can use the same syntax for environment variable
      # access regardless of the host operating system
      shell: bash
      working-directory: ${{runner.workspace}}/build
      # Note the current convention is to use the -S and -B options here to specify source 
      # and build directories, but this is only available with CMake 3.13 and higher.  
      # The CMake binaries on the Github Actions machines are (as of this writing) 3.12
      run: cmake $GITHUB_WORKSPACE -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DBUILD_STATIC=ON

    - name: Build
      working-directory: ${{runner.workspace}}/build
      shell: bash
      # Execute the build.  You can specify a specific target with "--target <NAME>"
      run: cmake --build . --config $BUILD_TYPE

    - name: Upload CLI tools artifact
      uses: actions/upload-artifact@v2
      with:
          path: |
            ${{runner.workspace}}/build/cli/vgmstream-cli
          # ${{runner.workspace}}/build/cli/vgmstream123
          name: vgmstream-cli

    #- name: Upload Audacious plugin artifact
    #  uses: actions/upload-artifact@v2
    #  with:
    #      path: ${{runner.workspace}}/build/audacious/vgmstream.so
    #      name: vgmstream-audacious

    - name: Upload artifacts to S3
      if: github.event_name != 'pull_request'
      working-directory: ${{runner.workspace}}/build
      shell: bash
      env:
          AWS_DEFAULT_REGION: us-west-1
          AWS_ACCESS_KEY_ID: ${{secrets.AWS_ACCESS_KEY_ID}}
          AWS_SECRET_ACCESS_KEY: ${{secrets.AWS_SECRET_ACCESS_KEY}}
      # TODO: Add vgmstream123 to the archive and upload the Audacious plugin when it is supported
      run: |
        cd cli
        tar cvfz vgmstream-cli.tar.gz vgmstream-cli
        cd ..
        aws s3 cp cli/vgmstream-cli.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-cli.tar.gz --acl public-read
        cd ${{runner.workspace}}
        echo ${{github.sha}} | tee latest_id_lx
        aws s3 cp latest_id_lx s3://vgmstream-builds/ --acl public-read
      # cd audacious
      # tar cvfz vgmstream-audacious.tar.gz vgmstream.so
      # cd ..
      # aws s3 cp audacious/vgmstream-audacious.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-audacious.tar.gz --acl public-read