# 宏量点云处理软件 - 生产环境Dockerfile
# 多阶段构建，优化镜像大小

# ============================================
# 阶段1: 依赖安装
# ============================================
FROM node:22-alpine AS deps

WORKDIR /app

# 安装pnpm
RUN corepack enable && corepack prepare pnpm@latest --activate

# 复制依赖文件
COPY package.json pnpm-lock.yaml* ./
COPY patches ./patches

# 安装依赖
RUN pnpm install --frozen-lockfile --prod=false

# ============================================
# 阶段2: 构建应用
# ============================================
FROM node:22-alpine AS builder

WORKDIR /app

# 安装pnpm
RUN corepack enable && corepack prepare pnpm@latest --activate

# 复制依赖
COPY --from=deps /app/node_modules ./node_modules
COPY . .

# 设置构建时环境变量
ARG VITE_APP_TITLE="宏量点云处理系统"
ARG VITE_OAUTH_PORTAL_URL="disabled"
ARG VITE_APP_ID=""
ENV VITE_APP_TITLE=$VITE_APP_TITLE
ENV VITE_OAUTH_PORTAL_URL=$VITE_OAUTH_PORTAL_URL
ENV VITE_APP_ID=$VITE_APP_ID

# 构建应用
RUN pnpm build

# ============================================
# 阶段3: 生产运行环境（bookworm：与 dev 一致，便于 cadquery manylinux 轮子）
# ============================================
FROM node:22-bookworm-slim AS runner

WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    dumb-init \
    python3 \
    python3-pip \
    ca-certificates \
    libgl1 \
    libglib2.0-0 \
    libxrender1 \
    libxext6 \
    libsm6 \
    libice6 \
    libx11-6 \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# cadquery-ocp 轮子较大，须加大 pip 超时；覆盖：--build-arg PIP_DEFAULT_TIMEOUT=600
ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
ARG PIP_DEFAULT_TIMEOUT=300
COPY requirements-geometry.txt /tmp/requirements-geometry.txt
RUN python3 -m pip install --no-cache-dir --break-system-packages \
    --default-timeout="${PIP_DEFAULT_TIMEOUT}" \
    --retries 10 \
    -i "${PIP_INDEX_URL}" \
    -r /tmp/requirements-geometry.txt \
    && rm /tmp/requirements-geometry.txt \
    && python3 -c "import cadquery; print('cadquery OK')"

# 安装 Miniforge（conda-forge 原生，无 Anaconda ToS 限制）用于 pythonocc-core
ARG CONDA_INSTALLER_URL=https://mirrors.tuna.tsinghua.edu.cn/github-release/conda-forge/miniforge/LatestRelease/Miniforge3-Linux-x86_64.sh
RUN curl -fsSL "${CONDA_INSTALLER_URL}" -o /tmp/miniforge.sh \
    && bash /tmp/miniforge.sh -b -p /opt/conda \
    && rm /tmp/miniforge.sh \
    && PY_VER=$(python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") \
    && /opt/conda/bin/conda config --set channel_priority strict \
    && /opt/conda/bin/conda create -y -n occ python="${PY_VER}" pythonocc-core=7.9.3 -c conda-forge \
    && /opt/conda/bin/conda clean -afy
RUN PY_VER=$(python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") \
    && CONDA_SP="/opt/conda/envs/occ/lib/python${PY_VER}/site-packages" \
    && SYS_SP=$(python3 -c "import site; print(site.getsitepackages()[0])") \
    && ln -sf "${CONDA_SP}/OCC" "${SYS_SP}/OCC"

ENV PYTHON3_PATH=/usr/bin/python3

# 创建非 root 用户（bookworm 用 groupadd/useradd）
RUN groupadd --gid 1001 nodejs && \
    useradd --uid 1001 --gid nodejs --system --shell /usr/sbin/nologin appuser

# 安装pnpm (用于运行时)
RUN corepack enable && corepack prepare pnpm@latest --activate

# 复制构建产物
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./package.json
COPY --from=builder /app/drizzle ./drizzle
# STEP 装配检测：子进程脚本（runStepParseMvp 从 dist 相对定位 ../scripts）
COPY --from=builder /app/scripts ./scripts
# 通用算法插件（Route B）：manifests / Python 适配器 / mock fixtures。
# registry.ts 通过 PLUGIN_DIR 环境变量定位；默认从 dist/plugins/ 加载。
COPY --from=builder /app/server/plugins ./dist/plugins
ENV PLUGIN_DIR=/app/dist/plugins

# 创建日志目录
RUN mkdir -p /app/logs && chown -R appuser:nodejs /app

# 切换到非root用户
USER appuser

# 暴露端口
EXPOSE 3000

# 健康检查 (使用环境变量中的端口，默认3000)
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:${PORT:-3000}/api/health || exit 1

# 使用dumb-init作为PID 1进程
ENTRYPOINT ["dumb-init", "--"]

# 启动应用
CMD ["node", "dist/index.js"]
