mirror of
https://github.com/vgmstream/vgmstream.git
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132 lines
4.9 KiB
YAML
132 lines
4.9 KiB
YAML
# github workflow to automate builds
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name: Linux build
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on: [push, pull_request]
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env:
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# Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
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BUILD_TYPE: Release
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jobs:
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build:
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# The CMake configure and build commands are platform agnostic and should work equally
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# well on Windows or Mac. You can convert this to a matrix build if you need
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# cross-platform coverage.
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# See: https://docs.github.com/en/actions/configuring-and-managing-workflows/configuring-a-workflow#configuring-a-build-matrix
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name: CMake, Ubuntu
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runs-on: ubuntu-18.04
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steps:
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- uses: actions/checkout@v2
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- name: Fetch Git tags
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run: |
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git fetch --prune --unshallow --tags
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- name: Install dependencies
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run: |
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sudo apt-get update
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sudo apt-get install -y libvorbis-dev libjansson-dev yasm libopus-dev
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- name: Create build environment
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# Some projects don't allow in-source building, so create a separate build directory
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# We'll use this as our working directory for all subsequent commands
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run: cmake -E make_directory ${{runner.workspace}}/build
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- name: Cache celt
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/dependencies/celt-0061
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${{runner.workspace}}/dependencies/celt-0110
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${{runner.workspace}}/build/dependencies/celt-0061/libcelt/.libs
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${{runner.workspace}}/build/dependencies/celt-0110/libcelt/.libs
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key: linux-celt-${{ hashFiles('cmake/dependencies/celt.cmake') }}
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- name: Cache ffmpeg
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/build/dependencies/ffmpeg/bin/usr/local/include
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${{runner.workspace}}/build/dependencies/ffmpeg/bin/usr/local/lib
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key: linux-ffmpeg-${{ hashFiles('cmake/dependencies/ffmpeg.cmake') }}
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- name: Cache atrac9
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/build/dependencies/LibAtrac9/bin
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key: linux-atrac9-${{ hashFiles('cmake/dependencies/atrac9.cmake') }}
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- name: Cache g719
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/build/dependencies/libg719_decode/libg719_decode.a
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key: linux-g719-${{ hashFiles('cmake/dependencies/g719.cmake') }}
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- name: Cache mpg123
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/dependencies/mpg123
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${{runner.workspace}}/build/dependencies/mpg123/src/libmpg123/.libs
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key: linux-mpg123-${{ hashFiles('cmake/dependencies/mpg123.cmake') }}
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- name: Cache speex
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uses: actions/cache@v2
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with:
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path: |
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${{runner.workspace}}/build/dependencies/speex/libspeex/.libs
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key: linux-speex-${{ hashFiles('cmake/dependencies/speex.cmake') }}
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- name: Configure CMake
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# Use a bash shell so we can use the same syntax for environment variable
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# access regardless of the host operating system
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shell: bash
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working-directory: ${{runner.workspace}}/build
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# Note the current convention is to use the -S and -B options here to specify source
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# and build directories, but this is only available with CMake 3.13 and higher.
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# The CMake binaries on the Github Actions machines are (as of this writing) 3.12
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run: cmake $GITHUB_WORKSPACE -DCMAKE_BUILD_TYPE=$BUILD_TYPE -DBUILD_STATIC=ON
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- name: Build
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working-directory: ${{runner.workspace}}/build
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shell: bash
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# Execute the build. You can specify a specific target with "--target <NAME>"
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run: cmake --build . --config $BUILD_TYPE
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- name: Upload CLI tools artifact
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uses: actions/upload-artifact@v2
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with:
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path: |
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${{runner.workspace}}/build/cli/vgmstream-cli
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# ${{runner.workspace}}/build/cli/vgmstream123
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name: vgmstream-cli
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#- name: Upload Audacious plugin artifact
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# uses: actions/upload-artifact@v2
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# with:
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# path: ${{runner.workspace}}/build/audacious/vgmstream.so
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# name: vgmstream-audacious
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- name: Upload artifacts to S3
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if: github.event_name != 'pull_request'
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working-directory: ${{runner.workspace}}/build
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shell: bash
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env:
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AWS_DEFAULT_REGION: us-west-1
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AWS_ACCESS_KEY_ID: ${{secrets.AWS_ACCESS_KEY_ID}}
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AWS_SECRET_ACCESS_KEY: ${{secrets.AWS_SECRET_ACCESS_KEY}}
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# TODO: Add vgmstream123 to the archive and upload the Audacious plugin when it is supported
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run: |
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cd cli
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tar cvfz vgmstream-cli.tar.gz vgmstream-cli
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cd ..
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aws s3 cp cli/vgmstream-cli.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-cli.tar.gz --acl public-read
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# cd audacious
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# tar cvfz vgmstream-audacious.tar.gz vgmstream.so
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# cd ..
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# aws s3 cp audacious/vgmstream-audacious.tar.gz s3://vgmstream-builds/${{github.sha}}/linux/vgmstream-audacious.tar.gz --acl public-read
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