claude_dev
5c5bd9d7bb
PYTHONPATH ENV 原在 Step2 前置,致其后所有层 cache miss,TA-Lib 步骤重编译触发 wget sourceforge 国内卡死(build_v3 卡 29min load0.04)。移到 COPY 代码后:Step1-19 (apt/TA-Lib/pip)与旧 build 相同→缓存命中跳过 wget,只 ENV+COPY 重跑(秒级)。 功能等价(PYTHONPATH 在镜像 env,spawn 子进程继承),仅层缓存优化。 build_v4 实证:Step5 TA-Lib Using cache(跳 wget)+镜像 ENV PYTHONPATH 固化 (docker exec 探针可见 /app:/app/vnpy_v4.4.0,修复前空)。
79 lines
2.5 KiB
Docker
79 lines
2.5 KiB
Docker
# Sanguo VeighNa Docker 镜像 - NAS 适配版
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# 使用 Python 3.10（Synology NAS 已有镜像）
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# 单阶段构建，简化部署流程
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FROM python:3.10-slim
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# 设置环境变量
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ENV TZ=Asia/Shanghai \
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DEBIAN_FRONTEND=noninteractive \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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VNPY_LOG_LEVEL=INFO \
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TA_LIBRARY_PATH=/usr/local/lib \
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TA_INCLUDE_PATH=/usr/local/include
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# 换国内 debian 镜像(清华,trixie deb822 格式;原 deb.debian.org 国内不稳 apt 反复重试)
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RUN { sed -i 's|deb.debian.org|mirrors.tuna.tsinghua.edu.cn|g; s|security.debian.org|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || sed -i 's|deb.debian.org|mirrors.tuna.tsinghua.edu.cn|g; s|security.debian.org|mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list 2>/dev/null; }
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# 安装运行时和编译依赖
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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build-essential \
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wget \
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gcc \
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g++ \
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make \
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libc6-dev \
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&& rm -rf /var/lib/apt/lists/*
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# 下载并编译 TA-Lib
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RUN wget -q http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz \
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&& tar -xzf ta-lib-0.4.0-src.tar.gz \
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&& cd ta-lib \
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&& ./configure --prefix=/usr \
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&& make \
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&& make install \
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&& cd .. \
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&& rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
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# 更新 ldconfig
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RUN ldconfig
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# 设置工作目录
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WORKDIR /app
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# 创建数据目录
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RUN mkdir -p /app/data /app/logs /app/config /app/temp
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# 复制 requirements 并安装依赖
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COPY requirements-docker.txt .
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RUN pip install --no-cache-dir --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple && \
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pip install --no-cache-dir -r requirements-docker.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 复制应用代码（包含所有 sanguo 模块）
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COPY sanguo_web/ /app/sanguo_web/
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COPY vnpy_v4.4.0/vnpy/ /app/vnpy/
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COPY sanguo_trader/ /app/sanguo_trader/
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COPY sanguo_research/ /app/sanguo_research/
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COPY sanguo_data/ /app/sanguo_data/
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COPY sanguo_common/ /app/sanguo_common/
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# Python 路径(spawn 子进程继承 env 不继承 sys.path;放 COPY 后让 apt/TA-Lib/pip 层缓存命中,
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# 避免 sourceforge wget 卡——ENV 在前会导致其后所有层 cache miss 触发 TA-Lib 重编译)
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ENV PYTHONPATH=/app:/app/vnpy_v4.4.0
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# 复制启动脚本
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COPY entrypoint.sh /app/
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RUN chmod +x /app/entrypoint.sh
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# 暴露端口
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EXPOSE 8000 8080
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# 启动命令
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ENTRYPOINT ["/app/entrypoint.sh"]
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