forked from xiaohei/taiji-AI-PAD
50 lines
1.3 KiB
Docker
50 lines
1.3 KiB
Docker
# 多阶段构建Dockerfile for MCP Server
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FROM python:3.11-slim@sha256:158caf0e080e2cd74ef2879ed3c4e697792ee65251c8208b7afb56683c32ea6c as builder
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WORKDIR /app
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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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gcc \
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g++ \
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libpq-dev \
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&& rm -rf /var/lib/apt/lists/*
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# 安装Python依赖
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COPY requirements.txt .
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RUN pip install --no-cache-dir --user -r requirements.txt
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# 最终镜像
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# 使用 amd64 架构的基础镜像
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FROM python:3.11-slim@sha256:158caf0e080e2cd74ef2879ed3c4e697792ee65251c8208b7afb56683c32ea6c
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WORKDIR /app
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# 安装运行时依赖
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RUN apt-get update && apt-get install -y \
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libpq5 \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# 从builder复制Python包
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COPY --from=builder /root/.local /root/.local
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# 复制应用代码
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COPY . .
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# 确保Python能找到用户安装的包
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ENV PATH=/root/.local/bin:$PATH
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# 创建日志目录
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RUN mkdir -p /app/logs
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# 健康检查 (开发环境使用较长间隔)
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HEALTHCHECK --interval=120s --timeout=10s --start-period=40s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# 暴露端口
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EXPOSE 8000
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# 启动命令（使用单 worker 避免数据库初始化竞态条件）
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CMD ["python3", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
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