You've already forked DataMate
Jerry Yan
9da187d2c6
- 新增 build-offline.sh 脚本实现无网环境构建 - 添加离线版 Dockerfiles 使用本地资源替代网络下载 - 创建 export-cache.sh 脚本在有网环境预下载依赖 - 集成 Makefile.offline.mk 提供便捷的离线构建命令 - 添加详细的离线构建文档和故障排查指南 - 实现基础镜像、BuildKit 缓存和外部资源的一键打包
45 lines
1.4 KiB
Docker
45 lines
1.4 KiB
Docker
# deer-flow-backend Dockerfile 离线版本
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# 修改点: 使用本地 deer-flow 源码替代 git clone
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FROM ghcr.nju.edu.cn/astral-sh/uv:python3.12-bookworm
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# Install uv.
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COPY --from=ghcr.nju.edu.cn/astral-sh/uv:latest /uv /bin/uv
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# 配置 apt 阿里云镜像源并安装系统依赖
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RUN if [ -f /etc/apt/sources.list.d/debian.sources ]; then \
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sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources; \
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elif [ -f /etc/apt/sources.list ]; then \
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sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list; \
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fi && \
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apt-get update && apt-get install -y \
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libpq-dev git \
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&& rm -rf /var/lib/apt/lists/*
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# 配置 uv 使用阿里云 PyPI 镜像
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ENV UV_INDEX_URL="https://mirrors.aliyun.com/pypi/simple/"
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WORKDIR /app
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# 离线模式: 本地 deer-flow 路径
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ARG RESOURCES_DIR=./build-cache/resources
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ARG DEERFLOW_DIR=${RESOURCES_DIR}/deer-flow
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# 复制本地 deer-flow 源码（离线环境预先下载）
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COPY ${DEERFLOW_DIR} /app
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COPY runtime/deer-flow/.env /app/.env
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COPY runtime/deer-flow/conf.yaml /app/conf.yaml
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# Pre-cache the application dependencies.
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --locked --no-install-project
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# Install the application dependencies.
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --locked
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EXPOSE 8000
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# Run the application.
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CMD ["uv", "run", "--no-sync", "python", "server.py", "--host", "0.0.0.0", "--port", "8000"]
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