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 libmpg123-dev libvorbis-dev libavformat-dev libavcodec-dev libavutil-dev libswresample-dev sudo apt-get install -y libao-dev audacious-dev libjansson-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: 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 - 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: ${{secrets.AWS_SECRET_ACCESS_KEY}} run: | cd cli tar cvfz vgmstream-cli.tar.gz vgmstream_cli vgmstream123 cd ../audacious tar cvfz vgmstream-audacious.tar.gz vgmstream.so cd .. aws s3 cp cli/vgmstream-cli.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-cli.tar.gz --acl public-read aws s3 cp audacious/vgmstream-audacious.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-audacious.tar.gz --acl public-read