# 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" "${SYS_SP}/OCC" # conda-forge 编译的 .so 需要新版 libstdc++(CXXABI_1.3.15); # 动态查找 conda 提供的最新真实文件,避免硬编码版本号或双重软链问题 RUN set -eux \ && LIBSTDCPP=$(ls /opt/conda/lib/libstdc++.so.6.0.* 2>/dev/null | sort -V | tail -1) \ && [ -n "$LIBSTDCPP" ] && ln -sf "$LIBSTDCPP" /usr/lib/x86_64-linux-gnu/libstdc++.so.6 \ && echo "libstdc++ -> $LIBSTDCPP" \ && python3 -c "from OCC.Core.STEPControl import STEPControl_Reader; print('pythonocc-core OK')" \ && python3 -c "from OCC.Core.BRep import BRep_Builder; print('OCC BRep OK')" ENV PYTHON3_PATH=/usr/bin/python3 # 创建非 root 用户(bookworm 用 groupadd/useradd) RUN groupadd --gid 1001 nodejs && \ useradd --uid 1001 --gid nodejs --system --shell /usr/sbin/nologin appuser # 安装pnpm (用于运行时) RUN corepack enable && corepack prepare pnpm@latest --activate # 复制构建产物 COPY --from=builder /app/dist ./dist COPY --from=builder /app/node_modules ./node_modules COPY --from=builder /app/package.json ./package.json COPY --from=builder /app/drizzle ./drizzle # STEP 装配检测:子进程脚本(runStepParseMvp 从 dist 相对定位 ../scripts) COPY --from=builder /app/scripts ./scripts # 通用算法插件(Route B):manifests / Python 适配器 / mock fixtures。 # registry.ts 通过 PLUGIN_DIR 环境变量定位;默认从 dist/plugins/ 加载。 COPY --from=builder /app/server/plugins ./dist/plugins ENV PLUGIN_DIR=/app/dist/plugins # 创建日志目录 RUN mkdir -p /app/logs && chown -R appuser:nodejs /app # 切换到非root用户 USER appuser # 暴露端口 EXPOSE 3000 # 健康检查 (使用环境变量中的端口,默认3000) HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD curl -f http://localhost:${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"]