#!/bin/bash
set -e

EXTRA_PIP_INSTALL_FLAGS="--no-build-isolation"

# Avoid overcommitting the CPU during builds that compile native code.
export NVCC_THREADS=2
export MAX_JOBS=1

backend_dir=$(dirname $0)

if [ -d $backend_dir/common ]; then
    source $backend_dir/common/libbackend.sh
else
    source $backend_dir/../common/libbackend.sh
fi

if [ "x${BUILD_PROFILE}" == "xintel" ]; then
    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
fi

if [ "x${BUILD_PROFILE}" == "xcpu" ]; then
    EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-best-match"
fi

# sglang's CPU path has no prebuilt wheel on PyPI — upstream publishes
# a separate pyproject_cpu.toml that must be swapped in before `pip install`.
# Reference: docker/xeon.Dockerfile in the sglang upstream repo.
#
# When BUILD_TYPE is empty (CPU profile) or FROM_SOURCE=true is forced,
# install torch/transformers/etc from requirements-cpu.txt, then clone
# sglang and install its python/ and sgl-kernel/ packages from source
# using the CPU pyproject.
if [ "x${BUILD_TYPE}" == "x" ] || [ "x${FROM_SOURCE:-}" == "xtrue" ]; then
    # sgl-kernel's CPU build links against libnuma and libtbb. Install
    # them here (Docker builder stage) before running the source build.
    # Harmless no-op on runs outside the docker build since installRequirements
    # below still needs them only if we reach the source build branch.
    if command -v apt-get >/dev/null 2>&1 && [ "$(id -u)" = "0" ]; then
        apt-get update
        DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
            libnuma-dev numactl libtbb-dev libgomp1 libomp-dev google-perftools \
            build-essential cmake ninja-build
    fi

    installRequirements

    # sgl-kernel's pyproject_cpu.toml uses scikit-build-core as its build
    # backend. With --no-build-isolation, that (and ninja/cmake) must be
    # present in the venv before we build from source.
    uv pip install --no-build-isolation "scikit-build-core>=0.10" ninja cmake

    # sgl-kernel's CPU shm.cpp uses __m512 AVX-512 intrinsics unconditionally.
    # CMakeLists passes -march=native, which on runners without AVX-512 in
    # /proc/cpuinfo (ubuntu-latest, most shared CI pools) fails with
    # "__m512 return without 'avx512f' enabled changes the ABI".
    # Force Sapphire Rapids ISA at compile time so the build always succeeds;
    # the resulting binary still requires an AVX-512 capable CPU at runtime,
    # same constraint sglang upstream documents in docker/xeon.Dockerfile.
    export CXXFLAGS="${CXXFLAGS:-} -march=sapphirerapids"
    export CFLAGS="${CFLAGS:-} -march=sapphirerapids"

    _sgl_src=$(mktemp -d)
    trap 'rm -rf "${_sgl_src}"' EXIT
    git clone --depth 1 https://github.com/sgl-project/sglang "${_sgl_src}/sglang"

    pushd "${_sgl_src}/sglang/sgl-kernel"
        if [ -f pyproject_cpu.toml ]; then
            cp pyproject_cpu.toml pyproject.toml
        fi
        uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} .
    popd

    pushd "${_sgl_src}/sglang/python"
        if [ -f pyproject_cpu.toml ]; then
            cp pyproject_cpu.toml pyproject.toml
        fi
        uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} .
    popd
else
    installRequirements
fi