#!/bin/bash

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

# 自动检测 conda 安装路径（优先用环境变量，其次用 conda info --base）
if [ -z "$CONDA_BASE" ]; then
    if command -v conda >/dev/null 2>&1; then
        CONDA_BASE="$(conda info --base 2>/dev/null)"
    fi
fi
CONDA_BASE="${CONDA_BASE:-$HOME/miniconda3}"

# 初始化 conda（脚本中需要 source 才能用 conda activate）
if [ -f "$CONDA_BASE/etc/profile.d/conda.sh" ]; then
    source "$CONDA_BASE/etc/profile.d/conda.sh"
else
    echo "WARNING: 未找到 conda.sh，请确认 CONDA_BASE=$CONDA_BASE 正确"
fi

echo "=== 换发型项目部署脚本 ==="
echo "BASE_DIR: $BASE_DIR"
echo "CONDA_BASE: $CONDA_BASE"
echo ""

ERRORS=()

# 1. 检查前提条件
echo "[1/8] 检查前提条件..."
command -v git >/dev/null || { echo "  ✗ git 未安装"; ERRORS+=("git"); }
command -v conda >/dev/null || { echo "  ✗ conda 未安装"; ERRORS+=("conda"); }
nvidia-smi >/dev/null 2>&1 || { echo "  ✗ NVIDIA 驱动未安装"; ERRORS+=("nvidia-smi"); }
if [ ${#ERRORS[@]} -eq 0 ]; then
    echo "  ✓ 前提条件满足"
fi

# 2. 生成 configure.ini
echo "[2/8] 生成 configure.ini..."
sed "s|__BASE_DIR__|$BASE_DIR|g" "$BASE_DIR/hair_service_sd/config/configure.ini.template" > "$BASE_DIR/hair_service_sd/config/configure.ini"
echo "  ✓ configure.ini 已生成"

# 3. 恢复 conda 环境（conda-pack）
echo "[3/8] 恢复 conda 环境（my_hair, sdwebui, kohya）..."
for env_name in my_hair sdwebui kohya; do
    if [ -f "$BASE_DIR/conda_envs/${env_name}.tar.gz" ]; then
        echo "  恢复 $env_name ..."
        rm -rf "$CONDA_BASE/envs/$env_name"
        mkdir -p "$CONDA_BASE/envs/$env_name"
        tar -xzf "$BASE_DIR/conda_envs/${env_name}.tar.gz" -C "$CONDA_BASE/envs/$env_name"
        conda activate "$env_name" 2>/dev/null
        conda-unpack 2>/dev/null  # 修复打包后的硬编码路径
        conda deactivate 2>/dev/null
        echo "  ✓ $env_name 已恢复"
    else
        echo "  ✗ conda_envs/${env_name}.tar.gz 不存在，请从网盘下载"
        ERRORS+=("conda_envs/${env_name}.tar.gz")
    fi
done

# 4. 创建 py310 环境（从 yml）
echo "[4/8] 创建 py310 环境（从 yml）..."
if [ -f "$BASE_DIR/conda_envs/py310.yml" ]; then
    conda env create -f "$BASE_DIR/conda_envs/py310.yml" -n py310 2>/dev/null && echo "  ✓ py310 已创建" || echo "  ℹ py310 环境已存在，跳过"
else
    echo "  ✗ conda_envs/py310.yml 不存在"
    ERRORS+=("conda_envs/py310.yml")
fi

# 5. 检查模型/数据目录
echo "[5/8] 检查模型和数据目录..."
for dir in hair_service_sd/weights stable-diffusion-webui/models/Lora stable-diffusion-webui/models/Stable-diffusion stable-diffusion-webui/extensions/sd-webui-controlnet stable-diffusion-webui/repositories kohya_ss_home/.local kohya_ss_home/kohya_ss data/ref_hairstyle; do
    if [ -d "$BASE_DIR/$dir" ]; then
        echo "  ✓ $dir"
    else
        echo "  ✗ $dir 缺失，请从网盘下载"
        ERRORS+=("$dir")
    fi
done

# 6. 检查训练底模
echo "[6/8] 检查训练底模 v1-5-pruned-emaonly..."
if [ -f "$BASE_DIR/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors" ]; then
    echo "  ✓ v1-5-pruned-emaonly.safetensors 已存在"
else
    echo "  ✗ v1-5-pruned-emaonly.safetensors 缺失，请从网盘下载 models/ 目录"
    ERRORS+=("v1-5-pruned-emaonly.safetensors")
fi

# 7. 创建运行时目录
echo "[7/8] 创建运行时目录..."
mkdir -p "$BASE_DIR/logs"
mkdir -p "$BASE_DIR/data/tmp" "$BASE_DIR/data/res_dir" "$BASE_DIR/data/userImage" "$BASE_DIR/data/user_info"
mkdir -p "$BASE_DIR/kohya_ss_home/train_material"
echo "  ✓ 运行时目录已创建"

# 8. 验证 kohya 训练环境
echo "[8/8] 验证 kohya 训练环境..."
KOHYA_PYTHON="$CONDA_BASE/envs/kohya/bin/python"
KOHYA_LOCAL="$BASE_DIR/kohya_ss_home/.local/lib/python3.10/site-packages"
if [ -f "$KOHYA_PYTHON" ] && [ -d "$KOHYA_LOCAL" ]; then
    echo "  测试 torch/accelerate 加载..."
    if PYTHONPATH="$KOHYA_LOCAL" "$KOHYA_PYTHON" -c "
import torch, accelerate, bitsandbytes, diffusers
print(f'  torch={torch.__version__} cuda={torch.cuda.is_available()}')
print(f'  accelerate={accelerate.__version__}')
print('  ✓ 训练环境验证通过')
" 2>/dev/null; then
        true
    else
        echo "  ✗ 训练环境验证失败，请检查 kohya 环境和 .local 目录"
        ERRORS+=("kohya验证")
    fi
else
    echo "  ✗ kohya Python 或 .local 目录不存在，跳过验证"
    ERRORS+=("kohya环境")
fi

echo ""
echo "=== 部署结果 ==="
if [ ${#ERRORS[@]} -eq 0 ]; then
    echo "✓ 所有检查通过，部署完成！"
else
    echo "⚠ 有 ${#ERRORS[@]} 个问题需要处理："
    for err in "${ERRORS[@]}"; do
        echo "  - $err"
    done
    echo ""
    echo "请从网盘下载缺失的文件后重新运行 ./setup.sh"
fi
echo ""
echo "启动服务: ./start_all_services.sh"