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

132 lines
4.9 KiB
YAML

# 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 <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 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