139 lines
4.9 KiB
Docker
139 lines
4.9 KiB
Docker
# 宏量点云处理软件 - 生产环境Dockerfile
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# 多阶段构建，优化镜像大小
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# ============================================
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# 阶段1: 依赖安装
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# ============================================
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FROM node:22-alpine AS deps
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WORKDIR /app
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# 安装pnpm
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RUN corepack enable && corepack prepare pnpm@latest --activate
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# 复制依赖文件
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COPY package.json pnpm-lock.yaml* ./
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COPY patches ./patches
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# 安装依赖
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RUN pnpm install --frozen-lockfile --prod=false
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# ============================================
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# 阶段2: 构建应用
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# ============================================
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FROM node:22-alpine AS builder
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WORKDIR /app
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# 安装pnpm
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RUN corepack enable && corepack prepare pnpm@latest --activate
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# 复制依赖
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COPY --from=deps /app/node_modules ./node_modules
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COPY . .
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# 设置构建时环境变量
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ARG VITE_APP_TITLE="宏量点云处理系统"
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ENV VITE_APP_TITLE=$VITE_APP_TITLE
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# 构建应用
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RUN pnpm build
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# ============================================
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# 阶段3: 生产运行环境（bookworm：与 dev 一致，便于 cadquery manylinux 轮子）
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# ============================================
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FROM node:22-bookworm-slim AS runner
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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dumb-init \
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python3 \
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python3-pip \
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ca-certificates \
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libgl1 \
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libglib2.0-0 \
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libxrender1 \
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libxext6 \
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libsm6 \
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libice6 \
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libx11-6 \
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libgomp1 \
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&& rm -rf /var/lib/apt/lists/*
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# cadquery-ocp 轮子较大，须加大 pip 超时；覆盖：--build-arg PIP_DEFAULT_TIMEOUT=600
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ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
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ARG PIP_DEFAULT_TIMEOUT=300
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COPY requirements-geometry.txt /tmp/requirements-geometry.txt
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RUN python3 -m pip install --no-cache-dir --break-system-packages \
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--default-timeout="${PIP_DEFAULT_TIMEOUT}" \
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--retries 10 \
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-i "${PIP_INDEX_URL}" \
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-r /tmp/requirements-geometry.txt \
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&& rm /tmp/requirements-geometry.txt \
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&& python3 -c "import cadquery; print('cadquery OK')"
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# 安装 Miniforge（conda-forge 原生，无 Anaconda ToS 限制）用于 pythonocc-core
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ARG CONDA_INSTALLER_URL=https://mirrors.tuna.tsinghua.edu.cn/github-release/conda-forge/miniforge/LatestRelease/Miniforge3-Linux-x86_64.sh
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RUN curl -fsSL "${CONDA_INSTALLER_URL}" -o /tmp/miniforge.sh \
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&& bash /tmp/miniforge.sh -b -p /opt/conda \
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&& rm /tmp/miniforge.sh \
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&& PY_VER=$(python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") \
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&& /opt/conda/bin/conda config --set channel_priority strict \
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&& /opt/conda/bin/conda create -y -n occ python="${PY_VER}" pythonocc-core=7.9.3 -c conda-forge \
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&& /opt/conda/bin/conda clean -afy
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RUN PY_VER=$(python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')") \
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&& CONDA_SP="/opt/conda/envs/occ/lib/python${PY_VER}/site-packages" \
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&& SYS_SP=$(python3 -c "import site; print(site.getsitepackages()[0])") \
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&& ln -sf "${CONDA_SP}/OCC" "${SYS_SP}/OCC"
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# conda-forge 编译的 .so 需要新版 libstdc++（CXXABI_1.3.15）；
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# 动态查找 conda 提供的最新真实文件，避免硬编码版本号或双重软链问题
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RUN set -eux \
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&& LIBSTDCPP=$(ls /opt/conda/lib/libstdc++.so.6.0.* 2>/dev/null | sort -V | tail -1) \
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&& [ -n "$LIBSTDCPP" ] && ln -sf "$LIBSTDCPP" /usr/lib/x86_64-linux-gnu/libstdc++.so.6 \
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&& echo "libstdc++ -> $LIBSTDCPP" \
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&& python3 -c "from OCC.Core.STEPControl import STEPControl_Reader; print('pythonocc-core OK')" \
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&& python3 -c "from OCC.Core.BRep import BRep_Builder; print('OCC BRep OK')"
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ENV PYTHON3_PATH=/usr/bin/python3
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# 创建非 root 用户（bookworm 用 groupadd/useradd）
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RUN groupadd --gid 1001 nodejs && \
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useradd --uid 1001 --gid nodejs --system --shell /usr/sbin/nologin appuser
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# 安装pnpm (用于运行时)
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RUN corepack enable && corepack prepare pnpm@latest --activate
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# 复制构建产物
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COPY --from=builder /app/dist ./dist
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COPY --from=builder /app/node_modules ./node_modules
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COPY --from=builder /app/package.json ./package.json
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COPY --from=builder /app/drizzle ./drizzle
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# STEP 装配检测：子进程脚本（runStepParseMvp 从 dist 相对定位 ../scripts）
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COPY --from=builder /app/scripts ./scripts
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# 通用算法插件（Route B）：manifests / Python 适配器 / mock fixtures。
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# registry.ts 通过 PLUGIN_DIR 环境变量定位；默认从 dist/plugins/ 加载。
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COPY --from=builder /app/server/plugins ./dist/plugins
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ENV PLUGIN_DIR=/app/dist/plugins
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# 创建日志目录
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RUN mkdir -p /app/logs && chown -R appuser:nodejs /app
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# 切换到非root用户
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USER appuser
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# 暴露端口
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EXPOSE 3000
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# 健康检查 (使用环境变量中的端口，默认3000)
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:${PORT:-3000}/api/health || exit 1
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# 使用dumb-init作为PID 1进程
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ENTRYPOINT ["dumb-init", "--"]
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# 启动应用
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CMD ["node", "dist/index.js"]
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