pengxiao
ddbb79b9f6
单容器 Docker 架构的国土空间规划课程智能问答系统，集成 FastAPI 后端与 Next.js 前端。 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
147 lines
3.6 KiB
Docker
147 lines
3.6 KiB
Docker
# 多阶段构建：整合前端和后端到单个容器
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# ==================== 阶段1: 构建前端 ====================
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FROM node:22-alpine AS frontend-builder
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# 安装pnpm
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RUN npm install -g pnpm
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# 设置工作目录
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WORKDIR /app/web
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# 复制前端依赖文件
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COPY web/package.json web/pnpm-lock.yaml* ./
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# 安装依赖
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RUN pnpm install --frozen-lockfile
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# 复制前端源代码
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COPY web/src ./src
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COPY web/public ./public
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COPY web/next.config.js ./
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COPY web/tailwind.config.ts ./
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COPY web/postcss.config.js ./
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COPY web/tsconfig.json ./
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COPY web/next-env.d.ts ./
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# 构建前端应用
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RUN pnpm build
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# ==================== 阶段2: 准备后端 ====================
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FROM python:3.12-slim AS backend-builder
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# 设置工作目录
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WORKDIR /app
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# 设置环境变量
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV TZ=Asia/Shanghai
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ENV UV_HTTP_TIMEOUT=600
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# 安装系统依赖
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RUN apt-get update && apt-get install -y \
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curl \
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gcc \
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g++ \
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libpq-dev \
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postgresql-client \
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poppler-utils \
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libmagic1 \
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&& rm -rf /var/lib/apt/lists/*
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# 设置时区
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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# 配置 pip 使用国内镜像源
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 安装uv
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RUN pip install uv
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# 复制后端依赖文件（包括README.md，因为pyproject.toml引用了它）
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COPY backend/pyproject.toml backend/uv.lock ./
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COPY backend/README.md* ./
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# 安装Python依赖
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RUN UV_HTTP_TIMEOUT=600 uv sync --frozen
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# ==================== 阶段3: 最终镜像 ====================
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FROM python:3.12-slim
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# 设置工作目录
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WORKDIR /app
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# 设置环境变量
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV TZ=Asia/Shanghai
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ENV NODE_ENV=production
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ENV PORT=8001
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ENV HOSTNAME=0.0.0.0
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# 安装系统依赖（包括 Node.js 用于运行前端）
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RUN apt-get update && apt-get install -y \
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curl \
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gcc \
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g++ \
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libpq-dev \
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postgresql-client \
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poppler-utils \
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libmagic1 \
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nodejs \
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npm \
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supervisor \
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&& rm -rf /var/lib/apt/lists/*
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# 设置时区
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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# 安装uv
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
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pip install uv
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# 从后端构建阶段复制Python虚拟环境
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# uv 会在 /app/.venv 创建虚拟环境
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COPY --from=backend-builder /app/.venv /app/.venv
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# 复制后端代码和依赖文件
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COPY backend/pyproject.toml backend/uv.lock ./
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COPY backend/src ./src
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COPY backend/main.py ./
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COPY backend/migrations ./migrations
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COPY backend/scripts ./scripts
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# 确保使用虚拟环境中的Python
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ENV PATH="/app/.venv/bin:$PATH"
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# 从前端构建阶段复制构建产物
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COPY --from=frontend-builder /app/web/.next/standalone ./web
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COPY --from=frontend-builder /app/web/.next/static ./web/.next/static
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COPY --from=frontend-builder /app/web/public ./web/public
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# 创建必要的目录
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RUN mkdir -p /app/data /app/vector_store /app/uploads /app/logs /app/generated_images && \
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chmod 755 /app/data /app/vector_store /app/uploads /app/logs /app/generated_images
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# 创建supervisor配置文件
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RUN mkdir -p /etc/supervisor/conf.d
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COPY docker/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
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# 创建启动脚本
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COPY docker/start.sh /app/start.sh
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RUN chmod +x /app/start.sh
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# 暴露端口
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EXPOSE 8000 8001
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
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CMD curl -f http://localhost:8000/health && curl -f http://localhost:8001 || exit 1
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# 启动命令
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CMD ["/app/start.sh"]
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