.gitlab-ci.yml

clang_tidy:
  stage: build
  image: ghcr.io/acts-project/ubuntu2004:v29
  artifacts:
    paths:
      - src/clang-tidy/
    when: always
    expire_in: 2 weeks
  script:
    - git clone $CLONE_URL src 
    - cd src
    - git checkout $HEAD_SHA
    - >
        apt-get update
        && apt-get install -y g++-8 libstdc++-8-dev parallel software-properties-common 
        && curl -L https://apt.llvm.org/llvm-snapshot.gpg.key | apt-key add
        && add-apt-repository 'deb http://apt.llvm.org/focal/ llvm-toolchain-focal-16 main'
        && apt-get install -y clang-16 clang-tidy-16
        && ln -s /usr/bin/clang++-16 /usr/bin/clang++
        && ln -s /usr/bin/clang-16 /usr/bin/clang
        && ln -s /usr/bin/clang-tidy-16 /usr/bin/clang-tidy
        && mkdir -p /opt/lib/gcc/x86_64-linux-gnu
        && ln -s /usr/lib/gcc/x86_64-linux-gnu/8/ /opt/lib/gcc/x86_64-linux-gnu/ 
        && clang++ --gcc-toolchain=/opt -v
    - >
        cmake -B build -S .
        -GNinja
        -DCMAKE_CXX_COMPILER=clang++
        -DCMAKE_C_COMPILER=clang
        -DCMAKE_BUILD_TYPE=Release
        -DCMAKE_CXX_FLAGS="-Werror --gcc-toolchain=/opt"
        -DACTS_BUILD_EVERYTHING=on
        -DACTS_RUN_CLANG_TIDY=on

    - mkdir clang-tidy

    # Main clang-tidy run during cmake compilation
    - CI/clang_tidy/run_clang_tidy.sh build | tee clang-tidy/clang-tidy.log

    # Install dependencies for processing scripts
    - pip install -r CI/clang_tidy/requirements.txt

    # Parse the main clang-tidy run
    - >
        CI/clang_tidy/parse_clang_tidy.py 
        clang-tidy/clang-tidy.log 
        clang-tidy/clang-tidy.json 
        --exclude "*thirdparty*"

    # Check the combined report against the defined limits
    - CI/clang_tidy/check_clang_tidy.py --report clang-tidy/clang-tidy.json --config CI/clang_tidy/limits.yml

    # Generate an html report
    - codereport clang-tidy/clang-tidy.json clang-tidy/html

build:
  stage: build
  image: ghcr.io/acts-project/ubuntu2004_exatrkx:v30
  tags:
    - docker
  variables:
    CCACHE_DIR: ${CI_PROJECT_DIR}/ccache
    CCACHE_MAXSIZE: 10G
    CCACHE_KEY_SUFFIX: r1

  cache:
    key: ccache-exatrkx-$CI_COMMIT_REF_SLUG
    paths:
      - ${CI_PROJECT_DIR}/ccache_${CCACHE_KEY_SUFFIX}

  artifacts:
    paths:
      - build/
      - src/Examples/Python
      - src/Examples/Scripts/Python
      - src/Examples/Algorithms/TrackFinding/share
      - src/Examples/Algorithms/Digitization/share
    exclude:
      - build/**/*.o

  script:
    - export PATH=/usr/local/sbin:/usr/sbin:/sbin:$PATH
    - export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:$PATH
    - echo $PATH
    - git clone $CLONE_URL src
    - cd src
    - git checkout $HEAD_SHA
    - cd ..
    - mkdir build
    - >
      cmake -B build -S src
      -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
      -GNinja
      -DCMAKE_BUILD_TYPE=Release
      -DCMAKE_CXX_FLAGS=-w
      -DCMAKE_CUDA_FLAGS=-w
      -DCMAKE_CUDA_ARCHITECTURES="75;86"
      -DACTS_BUILD_PLUGIN_EXATRKX=ON
      -DACTS_BUILD_EXAMPLES_EXATRKX=ON
      -DACTS_EXATRKX_ENABLE_TORCH=ON
      -DACTS_EXATRKX_ENABLE_ONNX=ON
      -DACTS_BUILD_EXAMPLES_PYTHON_BINDINGS=ON
    - cmake --build build --

test:
  stage: test
  needs:
    - build
  image: ghcr.io/acts-project/ubuntu2004_exatrkx:v30
  tags:
    - docker-gpu-nvidia
  script:
    - apt-get update -y
    - apt-get install -y python3 libxxhash0
    - curl https://acts.web.cern.ch/ci/exatrkx/onnx_models_v01.tar --output onnx_models.tar
    - curl https://bhuth.webo.family/index.php/s/oyFg8WF2cDPrJYz/download --output torchscript_models.tar
    - tar -xf onnx_models.tar
    - tar -xf torchscript_models.tar
    - source build/python/setup.sh
    - nvidia-smi
    - python3 src/Examples/Scripts/Python/exatrkx.py onnx
    - python3 src/Examples/Scripts/Python/exatrkx.py torch