# github workflow to automate builds name: Linux build on: [push, pull_request] 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 " 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 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