#!/bin/bash
set -e

#====================================================================
# Qwen3.5 + Open WebUI 통합 셋업
# 시스템 환경을 자동 감지하여 최적의 방식을 선택합니다.
#
#   Apple Silicon + RAM 32GB↑  → MLX (vllm-mlx)
#   Apple Silicon + RAM 부족   → Ollama
#   NVIDIA GPU                 → vLLM (Docker)
#   그 외                      → Ollama
#====================================================================

PROJECT_DIR="$(cd "$(dirname "$0")" && pwd)"

echo "============================================"
echo " Qwen3.5 + Open WebUI 통합 셋업"
echo " 시스템 환경을 자동 감지합니다..."
echo "============================================"
echo ""

#--------------------------------------------------------------------
# 시스템 감지
#--------------------------------------------------------------------
OS=$(uname -s)
ARCH=$(uname -m)
HAS_APPLE_SILICON=false
HAS_NVIDIA_GPU=false
RAM_GB=0

# Apple Silicon 감지
if [ "$OS" = "Darwin" ] && [ "$ARCH" = "arm64" ]; then
    if sysctl -n machdep.cpu.brand_string 2>/dev/null | grep -q "Apple"; then
        HAS_APPLE_SILICON=true
        RAM_GB=$(sysctl -n hw.memsize | awk '{printf "%.0f", $1/1024/1024/1024}')
    fi
fi

# Linux RAM 감지
if [ "$OS" = "Linux" ]; then
    RAM_GB=$(free -g | awk '/^Mem:/{print $2}')
fi

# NVIDIA GPU 감지 + VRAM 확인
VRAM_GB=0
if command -v nvidia-smi &>/dev/null; then
    if nvidia-smi &>/dev/null; then
        HAS_NVIDIA_GPU=true
        VRAM_MB=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits 2>/dev/null | head -1)
        VRAM_GB=$((VRAM_MB / 1024))
    fi
fi

echo "  OS:             $OS ($ARCH)"
echo "  Apple Silicon:  $HAS_APPLE_SILICON"
echo "  NVIDIA GPU:     $HAS_NVIDIA_GPU"
if [ "$HAS_NVIDIA_GPU" = true ]; then
    echo "  VRAM:           ${VRAM_GB}GB"
fi
echo "  RAM:            ${RAM_GB}GB"
echo ""

#--------------------------------------------------------------------
# 방식 결정
# - NVIDIA GPU + VRAM 20GB 이상 → vLLM
# - NVIDIA GPU + VRAM 부족      → Ollama (GPU로는 모델 못 올림)
# - Apple Silicon + RAM 32GB↑   → MLX
# - Apple Silicon + RAM 부족    → Ollama
# - 그 외                       → Ollama
#--------------------------------------------------------------------
SELECTED=""

if [ "$HAS_NVIDIA_GPU" = true ] && [ "$VRAM_GB" -ge 20 ]; then
    SELECTED="vllm"
    echo "  → NVIDIA GPU (VRAM ${VRAM_GB}GB) → vLLM 선택"
elif [ "$HAS_NVIDIA_GPU" = true ] && [ "$VRAM_GB" -lt 20 ]; then
    SELECTED="ollama"
    echo "  → NVIDIA GPU 감지되었으나 VRAM ${VRAM_GB}GB (20GB 미만) → Ollama 선택"
elif [ "$HAS_APPLE_SILICON" = true ] && [ "$RAM_GB" -ge 32 ]; then
    SELECTED="mlx"
    echo "  → Apple Silicon + RAM ${RAM_GB}GB → MLX (vllm-mlx) 선택"
elif [ "$HAS_APPLE_SILICON" = true ]; then
    SELECTED="ollama"
    echo "  → Apple Silicon + RAM ${RAM_GB}GB (32GB 미만) → Ollama 선택"
else
    SELECTED="ollama"
    echo "  → 범용 환경 → Ollama 선택"
fi

echo ""
echo "============================================"
echo " $SELECTED 방식으로 셋업을 시작합니다"
echo "============================================"
echo ""

#--------------------------------------------------------------------
# 선택된 스크립트 실행
#--------------------------------------------------------------------
case "$SELECTED" in
    ollama)
        exec "$PROJECT_DIR/setup-ollama.sh"
        ;;
    mlx)
        exec "$PROJECT_DIR/setup-mlx.sh"
        ;;
    vllm)
        exec "$PROJECT_DIR/setup-vllm.sh"
        ;;
esac