76 lines
2.5 KiB
Docker
76 lines
2.5 KiB
Docker
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# ==========================================
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# 阶段 1：前端构建 (Node.js Builder)
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# ==========================================
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FROM node:18-alpine AS frontend-builder
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WORKDIR /build
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# 利用镜像缓存：先拷贝 package.json
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COPY web_ui/package*.json ./
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RUN npm config set registry https://registry.npmmirror.com && \
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npm install
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# 拷贝源码并构建
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COPY web_ui/ .
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RUN npm run build
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# ==========================================
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# 阶段 2：最终运行环境 (CoreX Runtime)
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# ==========================================
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FROM crpi-vofi3w62lkohhxsp.cn-shanghai.personal.cr.aliyuncs.com/opendatalab-mineru/corex:4.4.0_torch2.7.1_vllm0.11.2_py3.10
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ENV DEBIAN_FRONTEND=noninteractive
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ENV MINERU_MODEL_SOURCE=local
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# 1. 系统级依赖：仅安装运行时必需的字体和工具
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RUN apt-get update && apt-get install -y \
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fonts-noto-core \
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fonts-noto-cjk \
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fontconfig \
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libgl1-mesa-glx \
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&& fc-cache -fv \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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# 2. Python 依赖安装策略：
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# 使用 --no-deps 确保不覆盖 CoreX 预装的 torch 2.7.1 和 vllm 0.11.2
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RUN python3 -m pip install -U pip -i https://mirrors.aliyun.com/pypi/simple && \
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python3 -m pip install 'mineru[core]>=2.7.4' --no-deps -i https://mirrors.aliyun.com/pypi/simple && \
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# 手动补齐 MinerU 运行必需但基础镜像可能缺失的轻量依赖（不会破坏 torch）
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python3 -m pip install \
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"numpy==1.26.4" \
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"opencv-python==4.11.0.86" \
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"pydantic<2.0" \
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"modelscope" \
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"magic-pdf" \
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-i https://mirrors.aliyun.com/pypi/simple && \
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python3 -m pip cache purge
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WORKDIR /app
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# 3. 拷贝项目源码（排除 web_ui 源码以减小体积）
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COPY . .
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# ... 前面步骤保持不变 ...
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# 4. 从阶段 1 拷贝前端构建产物
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RUN mkdir -p mineru/cli/static/web
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COPY --from=frontend-builder /build/dist/ ./mineru/cli/static/web/
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# 5. 配置文件优化：必须先于模型下载执行
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RUN mkdir -p /root/.cache/modelscope/hub/models && \
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echo '{ \
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"models-dir": "/root/.cache/modelscope/hub/models", \
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"device-mode": "gpu", \
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"vlm-config": { \
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"kind": "vllm", \
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"precision": "fp16" \
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} \
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}' > /root/magic-pdf.json
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# 6. 模型预下载
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RUN /bin/bash -c "export MINERU_MODEL_SOURCE=local && mineru-models-download -s modelscope -m all"
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# 7. 入口点
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ENTRYPOINT ["/bin/bash", "-c", "exec \"$@\"", "--"]
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CMD ["python3", "-m", "mineru.cli.main"]
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