26304a295e
Breaking change from Inkscape 1.0+: - Old syntax: inkscape input.png -o output.svg (triggers GTK init) - New syntax: inkscape input.png --export-type=svg --export-filename=output.svg This is the correct headless-safe approach, no need for xvfb. Ref: https://inkscape.org/doc/inkscape-man.html
624 lines
27 KiB
Docker
624 lines
27 KiB
Docker
# ==============================================================================
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# ConvertX-CN 官方 Docker Image
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# 版本：v0.1.11
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# ==============================================================================
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#
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# 📦 Image 說明：
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# - 這是 ConvertX-CN 官方 Docker Hub Image 的生產 Dockerfile
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# - 已內建完整功能，無需額外擴充
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# - ⚠️ 所有模型已在 build 階段預下載，runtime 不依賴網路
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#
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# 🌍 內建語言支援：
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# - OCR: 英文、繁體中文、簡體中文、日文、韓文、德文、法文
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# - Locale: en_US, zh_TW, zh_CN, ja_JP, ko_KR, de_DE, fr_FR
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# - 字型: Noto CJK, Liberation, 標楷體
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# - LaTeX: CJK、德文、法文、阿拉伯語、希伯來語
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#
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# 🤖 預下載模型清單：
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# - PDFMathTranslate: DocLayout-YOLO ONNX（佈局分析）
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# - BabelDOC: DocLayout-YOLO + 字型資源（顯式下載，無 warmup）
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# - MinerU: PDF-Extract-Kit-1.0（Pipeline 模型）
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# 包含：DocLayout-YOLO, YOLOv8 MFD, UniMERNet, PaddleOCR, LayoutReader, SLANet
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#
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# 📊 Image 大小：約 8-12 GB（含模型）
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#
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# ⚠️ Base Image：使用 debian:bookworm（穩定版）
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# - 確保 Multi-Arch (amd64/arm64) 構建穩定性
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# - 避免 trixie (testing) 套件同步不穩定問題
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#
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# 🔒 Offline-first 設計原則：
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# - 所有下載行為僅發生在 Docker build 階段
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# - Runtime 完全離線運行，不依賴任何網路請求
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# - 禁止任何 CLI warmup / 隱性下載行為
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# - 所有 cache 在同一 RUN 內清除，避免 layer diff 膨脹
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#
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# ==============================================================================
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FROM debian:bookworm-slim AS base
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LABEL org.opencontainers.image.source="https://github.com/pi-docket/ConvertX-CN"
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LABEL org.opencontainers.image.description="ConvertX-CN - 精簡版檔案轉換服務"
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WORKDIR /app
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# 配置 APT 重試機制（解決 Multi-Arch Build 時的網路不穩定問題）
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RUN echo 'Acquire::Retries "5";' > /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::http::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::https::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::ftp::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'DPkg::Lock::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries
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# install bun
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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unzip \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# if architecture is arm64, use the arm64 version of bun
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RUN ARCH=$(uname -m) && \
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if [ "$ARCH" = "aarch64" ]; then \
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curl -fsSL -o bun-linux-aarch64.zip https://github.com/oven-sh/bun/releases/download/bun-v1.3.6/bun-linux-aarch64.zip; \
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else \
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curl -fsSL -o bun-linux-x64-baseline.zip https://github.com/oven-sh/bun/releases/download/bun-v1.3.6/bun-linux-x64-baseline.zip; \
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fi
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RUN unzip -j bun-linux-*.zip -d /usr/local/bin && \
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rm bun-linux-*.zip && \
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chmod +x /usr/local/bin/bun
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# install dependencies into temp directory
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# this will cache them and speed up future builds
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FROM base AS install
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RUN mkdir -p /temp/dev
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COPY package.json bun.lock /temp/dev/
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RUN cd /temp/dev && bun install --frozen-lockfile
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# install with --production (exclude devDependencies)
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RUN mkdir -p /temp/prod
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COPY package.json bun.lock /temp/prod/
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RUN cd /temp/prod && bun install --frozen-lockfile --production
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FROM base AS prerelease
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WORKDIR /app
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COPY --from=install /temp/dev/node_modules node_modules
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COPY . .
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# ENV NODE_ENV=production
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RUN bun run build
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# copy production dependencies and source code into final image
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FROM base AS release
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# ==============================================================================
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# 依賴安裝（分段安裝，優化 Multi-Arch Build 穩定性）
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# ==============================================================================
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#
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# ✅ 核心轉換工具：完整保留
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# ✅ TexLive：完整 CJK + 德法 + 阿拉伯/希伯來語
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# ✅ OCR：7 種主要語言
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# ✅ 字型：Noto CJK + Liberation + 標楷體
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# ✅ OpenCV：電腦視覺轉換支援
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# ✅ 額外影片編解碼器
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# ✅ PDFMathTranslate：PDF 翻譯引擎
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#
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# 📝 分段安裝說明：
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# - 將套件拆分為多個 RUN 層，避免 QEMU 模擬時記憶體不足
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# - 每段安裝後清理 apt cache，減少中間層大小
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# - 最終 squash 時會合併為單一層
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#
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# ==============================================================================
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# 配置 APT 重試機制（解決 Multi-Arch Build 時的網路不穩定問題）
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RUN echo 'Acquire::Retries "5";' > /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::http::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::https::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'Acquire::ftp::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'APT::Get::Assume-Yes "true";' >> /etc/apt/apt.conf.d/80-retries \
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&& echo 'DPkg::Lock::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries
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# 階段 1：基礎系統工具
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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locales \
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ca-certificates \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 2：核心轉換工具（小型）
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# 注意：dasel 和 resvg 在 bookworm 中不存在，後續用二進位檔案安裝
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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assimp-utils \
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dcraw \
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dvisvgm \
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ghostscript \
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graphicsmagick \
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mupdf-tools \
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poppler-utils \
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potrace \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 2.1：安裝 dasel（從 GitHub 下載二進位檔案）
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RUN ARCH=$(uname -m) && \
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if [ "$ARCH" = "aarch64" ]; then \
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DASEL_ARCH="linux_arm64"; \
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else \
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DASEL_ARCH="linux_amd64"; \
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fi && \
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curl -sSLf "https://github.com/TomWright/dasel/releases/download/v2.8.1/dasel_${DASEL_ARCH}" -o /usr/local/bin/dasel && \
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chmod +x /usr/local/bin/dasel
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# 階段 2.2：安裝 resvg（從 GitHub 下載二進位檔案）
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# 注意：resvg 官方只提供 x86_64 版本，ARM64 需從源碼編譯或跳過
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RUN ARCH=$(uname -m) && \
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if [ "$ARCH" = "aarch64" ]; then \
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echo "⚠️ resvg 沒有 ARM64 預編譯版本，跳過安裝（可改用 ImageMagick 或 Inkscape 替代）"; \
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else \
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curl -sSLf "https://github.com/linebender/resvg/releases/download/v0.44.0/resvg-linux-x86_64.tar.gz" -o /tmp/resvg.tar.gz && \
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tar -xzf /tmp/resvg.tar.gz -C /tmp/ && \
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mv /tmp/resvg /usr/local/bin/resvg && \
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chmod +x /usr/local/bin/resvg && \
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rm -rf /tmp/resvg.tar.gz; \
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fi
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# 階段 3：影音處理工具
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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ffmpeg \
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libavcodec-extra \
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libva2 \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 4：圖像處理工具
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# 注意：bookworm 使用 imagemagick（版本 6），trixie 才有 imagemagick-7
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# 注意：Inkscape 1.0+ 使用 --export-type/--export-filename 語法，支援 headless 執行，不需要 xvfb
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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imagemagick \
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inkscape \
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libheif-examples \
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libjxl-tools \
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libvips-tools \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 5：文件處理工具
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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calibre \
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libemail-outlook-message-perl \
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pandoc \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 6：LibreOffice（最大的套件，單獨安裝）
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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libreoffice \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 7：TexLive 基礎
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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texlive-base \
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texlive-latex-base \
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texlive-latex-recommended \
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texlive-fonts-recommended \
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texlive-xetex \
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latexmk \
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lmodern \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 8：TexLive 語言包
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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texlive-lang-cjk \
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texlive-lang-german \
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texlive-lang-french \
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texlive-lang-arabic \
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texlive-lang-other \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 9：OCR 支援
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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tesseract-ocr \
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tesseract-ocr-eng \
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tesseract-ocr-chi-tra \
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tesseract-ocr-chi-sim \
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tesseract-ocr-jpn \
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tesseract-ocr-kor \
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tesseract-ocr-deu \
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tesseract-ocr-fra \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 10：字型
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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fonts-noto-cjk \
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fonts-noto-core \
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fonts-noto-color-emoji \
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fonts-liberation \
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&& rm -rf /var/lib/apt/lists/*
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# 階段 11：Python 依賴
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RUN apt-get update --fix-missing && apt-get install -y --no-install-recommends \
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python3 \
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python3-pip \
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python3-numpy \
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python3-tinycss2 \
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python3-opencv \
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pipx \
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&& rm -rf /var/lib/apt/lists/*
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# ==============================================================================
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# 🔥 階段 12-UNIFIED：Python 工具安裝 + 模型下載（單一 RUN 原則）
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# ==============================================================================
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#
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# ⚠️ 關鍵設計原則：
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# 1. 所有 pipx install 和模型下載必須在同一個 RUN 中完成
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# 2. 所有 cache 在同一個 RUN 結尾清除
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# 3. 禁止任何 CLI warmup / 隱性下載行為
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# 4. 僅使用顯式 HuggingFace snapshot_download 下載模型
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#
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# ⬇️ 此 RUN 包含所有 Docker build 階段下載：
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# - Python 工具：markitdown, pdf2zh, babeldoc, mineru
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# - 模型：DocLayout-YOLO ONNX, MinerU Pipeline 模型
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# - 字型：GoNotoKurrent, Source Han Serif
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# - Runtime 不會再下載任何資源
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#
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# ==============================================================================
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ENV PATH="/root/.local/bin:${PATH}"
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ENV PIPX_HOME="/root/.local/pipx"
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ENV PIPX_BIN_DIR="/root/.local/bin"
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# 禁止 pip 隱性下載（強制離線模式在安裝完成後啟用）
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ENV PIP_NO_CACHE_DIR=1
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# HuggingFace 環境變數（安裝時允許下載，安裝完成後設為離線）
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ENV HF_HOME="/root/.cache/huggingface"
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RUN set -eux && \
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echo "===========================================================" && \
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echo "🚀 階段 12-UNIFIED：Python 工具 + 模型統一安裝" && \
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echo "===========================================================" && \
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echo "⬇️ 此 RUN 包含所有 Docker build 階段下載" && \
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echo " Runtime 不會再下載任何資源" && \
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echo "===========================================================" && \
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\
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# ========================================
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# [1/8] 安裝 huggingface_hub（用於顯式模型下載）
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# ========================================
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echo "" && \
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echo "📦 [1/8] 安裝 huggingface_hub..." && \
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pip3 install --no-cache-dir --break-system-packages huggingface_hub && \
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\
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# ========================================
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# [2/8] 安裝 markitdown（文件轉換工具）
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# ⬇️ Docker build 階段安裝，無隱性下載
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# ========================================
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echo "" && \
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echo "📦 [2/8] 安裝 markitdown[all]..." && \
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pipx install "markitdown[all]" && \
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\
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# ========================================
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# [3/8] 安裝 pdf2zh（PDFMathTranslate 引擎）
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# ⬇️ Docker build 階段安裝
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# ⚠️ 模型將在後續步驟顯式下載，此處僅安裝程式
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# ========================================
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echo "" && \
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echo "📦 [3/8] 安裝 pdf2zh..." && \
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pipx install "pdf2zh" && \
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\
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# ========================================
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# [4/8] 安裝 babeldoc（BabelDOC 引擎）
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# ⬇️ Docker build 階段安裝
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# ⚠️ 資源將在後續步驟顯式下載，禁止使用 --warmup
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# ========================================
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echo "" && \
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echo "📦 [4/8] 安裝 babeldoc..." && \
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(pipx install "babeldoc" || echo "⚠️ babeldoc 安裝失敗，跳過...") && \
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\
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# ========================================
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# [5/8] 安裝 mineru（MinerU 引擎）
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# ⬇️ Docker build 階段安裝
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# ⚠️ 模型將在後續步驟顯式下載，此處僅安裝程式
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# ========================================
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echo "" && \
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echo "📦 [5/8] 安裝 mineru[all]..." && \
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(pipx install "mineru[all]" || echo "⚠️ mineru 安裝失敗（可能是 arm64 相容性問題），跳過...") && \
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\
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# ========================================
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# [6/8] 顯式下載 PDFMathTranslate 模型
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# ⬇️ Docker build 階段下載 DocLayout-YOLO ONNX 模型
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# Runtime 不會再下載任何資源
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# ========================================
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echo "" && \
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echo "📥 [6/8] 下載 PDFMathTranslate DocLayout-YOLO ONNX 模型..." && \
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mkdir -p /models/pdfmathtranslate && \
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python3 -c "from huggingface_hub import snapshot_download; import os; os.environ['HF_HOME']='/root/.cache/huggingface'; snapshot_download(repo_id='wybxc/DocLayout-YOLO-DocStructBench-onnx', local_dir='/models/pdfmathtranslate', allow_patterns=['*.onnx'], local_dir_use_symlinks=False); print('DocLayout-YOLO ONNX downloaded')" && \
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ls -lh /models/pdfmathtranslate/*.onnx 2>/dev/null || ls -lh /models/pdfmathtranslate/ && \
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\
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# ========================================
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# [6.1/8] 下載 PDFMathTranslate 多語言字型
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# ⬇️ Docker build 階段下載字型檔案
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# Runtime 不會再下載任何資源
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# ========================================
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echo "" && \
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echo "📥 [6.1/8] 下載 PDFMathTranslate 多語言字型..." && \
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mkdir -p /app && \
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curl -fSL -o /app/GoNotoKurrent-Regular.ttf \
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"https://github.com/satbyy/go-noto-universal/releases/download/v7.0/GoNotoKurrent-Regular.ttf" && \
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curl -fSL -o /app/SourceHanSerifCN-Regular.ttf \
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"https://github.com/timelic/source-han-serif/releases/download/main/SourceHanSerifCN-Regular.ttf" && \
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curl -fSL -o /app/SourceHanSerifTW-Regular.ttf \
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"https://github.com/timelic/source-han-serif/releases/download/main/SourceHanSerifTW-Regular.ttf" && \
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curl -fSL -o /app/SourceHanSerifJP-Regular.ttf \
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"https://github.com/timelic/source-han-serif/releases/download/main/SourceHanSerifJP-Regular.ttf" && \
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curl -fSL -o /app/SourceHanSerifKR-Regular.ttf \
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"https://github.com/timelic/source-han-serif/releases/download/main/SourceHanSerifKR-Regular.ttf" && \
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echo "✅ 字型下載完成" && \
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ls -lh /app/*.ttf && \
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\
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# ========================================
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# [7/8] 顯式下載 BabelDOC 資源
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# ⬇️ Docker build 階段顯式下載 BabelDOC 所需資源
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# ❌ 禁止使用 --warmup（不可控的隱性下載）
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# ✅ 使用 HuggingFace 顯式下載模型
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# Runtime 不會再下載任何資源
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# ========================================
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echo "" && \
|
||
echo "📥 [7/8] 顯式下載 BabelDOC 資源..." && \
|
||
mkdir -p /root/.cache/babeldoc/models && \
|
||
mkdir -p /root/.cache/babeldoc/fonts && \
|
||
\
|
||
# 下載 BabelDOC 使用的 DocLayout-YOLO 模型（與 pdf2zh 共用）
|
||
echo " 下載 BabelDOC DocLayout-YOLO 模型..." && \
|
||
(python3 -c "from huggingface_hub import snapshot_download; import os; os.environ['HF_HOME']='/root/.cache/huggingface'; snapshot_download(repo_id='wybxc/DocLayout-YOLO-DocStructBench-onnx', local_dir='/root/.cache/babeldoc/models/doclayout-yolo', allow_patterns=['*.onnx'], local_dir_use_symlinks=False); print('BabelDOC DocLayout-YOLO downloaded')" || echo "BabelDOC DocLayout-YOLO skipped") && \
|
||
(python3 -c "from huggingface_hub import snapshot_download; import os; os.environ['HF_HOME']='/root/.cache/huggingface'; snapshot_download(repo_id='funstory-ai/babeldoc-assets', local_dir='/root/.cache/babeldoc/assets', local_dir_use_symlinks=False); print('BabelDOC assets downloaded')" || echo "BabelDOC assets not available") && \
|
||
\
|
||
# 複製字型到 BabelDOC 目錄（避免 runtime 下載）
|
||
echo " 複製字型到 BabelDOC 目錄..." && \
|
||
cp /app/GoNotoKurrent-Regular.ttf /root/.cache/babeldoc/fonts/ 2>/dev/null || true && \
|
||
cp /app/SourceHanSerifCN-Regular.ttf /root/.cache/babeldoc/fonts/ 2>/dev/null || true && \
|
||
cp /app/SourceHanSerifTW-Regular.ttf /root/.cache/babeldoc/fonts/ 2>/dev/null || true && \
|
||
cp /app/SourceHanSerifJP-Regular.ttf /root/.cache/babeldoc/fonts/ 2>/dev/null || true && \
|
||
cp /app/SourceHanSerifKR-Regular.ttf /root/.cache/babeldoc/fonts/ 2>/dev/null || true && \
|
||
echo "✅ BabelDOC 資源準備完成" && \
|
||
\
|
||
# ========================================
|
||
# [8/8] 顯式下載 MinerU Pipeline 模型
|
||
# ⬇️ Docker build 階段顯式下載 MinerU 所需模型
|
||
# 使用 mineru-models-download CLI（如果可用）
|
||
# 或使用 HuggingFace 顯式下載
|
||
# Runtime 不會再下載任何資源
|
||
# ========================================
|
||
echo "" && \
|
||
echo "📥 [8/8] 下載 MinerU Pipeline 模型..." && \
|
||
ARCH=$(uname -m) && \
|
||
if [ "$ARCH" = "aarch64" ]; then \
|
||
echo "⚠️ ARM64 架構：MinerU 可能不完全支援，嘗試下載模型..."; \
|
||
fi && \
|
||
\
|
||
# 方法 1：使用官方 CLI（如果可用）
|
||
if command -v mineru-models-download >/dev/null 2>&1; then \
|
||
echo "使用 mineru-models-download CLI..." && \
|
||
mineru-models-download -s huggingface -m pipeline 2>&1 || true && \
|
||
echo "mineru.json 內容：" && \
|
||
cat /root/mineru.json 2>/dev/null || echo "(未生成)"; \
|
||
else \
|
||
echo "mineru-models-download 不可用，使用顯式 HuggingFace 下載..." && \
|
||
mkdir -p /root/.cache/mineru/models && \
|
||
(python3 -c "from huggingface_hub import snapshot_download; import os; os.environ['HF_HOME']='/root/.cache/huggingface'; snapshot_download(repo_id='opendatalab/PDF-Extract-Kit-1.0', local_dir='/root/.cache/mineru/models/PDF-Extract-Kit-1.0', local_dir_use_symlinks=False); print('PDF-Extract-Kit-1.0 downloaded')" || echo "MinerU model download failed") && \
|
||
python3 -c "import json; config={'models-dir':{'pipeline':'/root/.cache/mineru/models/PDF-Extract-Kit-1.0','vlm':''},'model-source':'local','latex-delimiter-config':{'display':{'left':'@@','right':'@@'},'inline':{'left':'@','right':'@'}}}; f=open('/root/mineru.json','w'); json.dump(config,f,indent=2); f.close(); print('mineru.json generated')"; \
|
||
fi && \
|
||
echo "✅ MinerU 模型下載步驟完成" && \
|
||
\
|
||
# ========================================
|
||
# 🔥 最終 Cache 清理（關鍵！避免 overlayfs diff 爆炸）
|
||
# ========================================
|
||
# ⚠️ 此清理必須在同一個 RUN 內執行
|
||
# 否則 cache 會進入 layer diff，導致 image 膨脹
|
||
# ========================================
|
||
echo "" && \
|
||
echo "===========================================================" && \
|
||
echo "🧹 清理所有下載快取（降低 layer diff 大小）" && \
|
||
echo "===========================================================" && \
|
||
\
|
||
# HuggingFace Hub cache（最大宗！包含所有 blob）
|
||
rm -rf /root/.cache/huggingface && \
|
||
\
|
||
# pip / Python build cache
|
||
rm -rf /root/.cache/pip && \
|
||
rm -rf /root/.cache/uv && \
|
||
\
|
||
# pipx cache
|
||
rm -rf /root/.local/pipx/.cache && \
|
||
\
|
||
# 通用 cache 目錄
|
||
rm -rf /tmp/* && \
|
||
rm -rf /var/tmp/* && \
|
||
\
|
||
# Python bytecode cache（可選，節省少量空間）
|
||
find /root/.local -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true && \
|
||
find /usr -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true && \
|
||
\
|
||
# ========================================
|
||
# 📋 模型檔案驗證
|
||
# ========================================
|
||
echo "" && \
|
||
echo "===========================================================" && \
|
||
echo "📋 模型檔案驗證" && \
|
||
echo "===========================================================" && \
|
||
echo "" && \
|
||
\
|
||
echo "🔹 PDFMathTranslate 模型：" && \
|
||
ONNX_COUNT=$(find /models/pdfmathtranslate -name "*.onnx" 2>/dev/null | wc -l) && \
|
||
if [ "$ONNX_COUNT" -gt 0 ]; then \
|
||
echo " ✅ 找到 $ONNX_COUNT 個 ONNX 模型："; \
|
||
ls -lh /models/pdfmathtranslate/*.onnx 2>/dev/null || find /models/pdfmathtranslate -name "*.onnx" -exec ls -lh {} \;; \
|
||
else \
|
||
echo " ❌ /models/pdfmathtranslate 中沒有 ONNX 模型"; \
|
||
fi && \
|
||
echo "" && \
|
||
\
|
||
echo "🔹 PDFMathTranslate 字型：" && \
|
||
ls -lh /app/*.ttf 2>/dev/null || echo " ⚠️ 無字型檔案" && \
|
||
echo "" && \
|
||
\
|
||
echo "🔹 BabelDOC 資源：" && \
|
||
if [ -d "/root/.cache/babeldoc" ]; then \
|
||
echo " ✅ BabelDOC 資源目錄存在"; \
|
||
du -sh /root/.cache/babeldoc 2>/dev/null || true; \
|
||
ls -la /root/.cache/babeldoc/ 2>/dev/null || true; \
|
||
else \
|
||
echo " ⚠️ BabelDOC 資源目錄不存在"; \
|
||
fi && \
|
||
echo "" && \
|
||
\
|
||
echo "🔹 MinerU 模型目錄：" && \
|
||
if [ -f /root/mineru.json ]; then \
|
||
echo " ✅ mineru.json 存在"; \
|
||
cat /root/mineru.json; \
|
||
MINERU_PIPELINE_DIR=$(python3 -c "import json; f=open('/root/mineru.json'); d=json.load(f); print(d.get('models-dir',{}).get('pipeline',''))" 2>/dev/null || echo ""); \
|
||
if [ -n "$MINERU_PIPELINE_DIR" ] && [ -d "$MINERU_PIPELINE_DIR" ]; then \
|
||
echo " ✅ MinerU Pipeline 模型目錄存在: $MINERU_PIPELINE_DIR"; \
|
||
du -sh "$MINERU_PIPELINE_DIR" 2>/dev/null || true; \
|
||
else \
|
||
echo " ⚠️ MinerU Pipeline 模型目錄不存在或未設定"; \
|
||
fi; \
|
||
else \
|
||
echo " ⚠️ mineru.json 不存在"; \
|
||
fi && \
|
||
echo "" && \
|
||
\
|
||
echo "🔹 確認 HuggingFace cache 已清除：" && \
|
||
if [ -d "/root/.cache/huggingface" ]; then \
|
||
echo " ❌ 警告：HuggingFace cache 仍存在！"; \
|
||
du -sh /root/.cache/huggingface 2>/dev/null || true; \
|
||
else \
|
||
echo " ✅ HuggingFace cache 已清除"; \
|
||
fi && \
|
||
echo "" && \
|
||
\
|
||
echo "===========================================================" && \
|
||
echo "✅ 階段 12-UNIFIED 完成：所有 Python 工具 + 模型已安裝" && \
|
||
echo " 所有 cache 已清理，layer diff 最小化" && \
|
||
echo " Runtime 不會再下載任何資源" && \
|
||
echo "==========================================================="
|
||
|
||
# PDFMathTranslate 環境變數
|
||
ENV PDFMATHTRANSLATE_MODELS_PATH="/models/pdfmathtranslate"
|
||
ENV NOTO_FONT_PATH="/app/GoNotoKurrent-Regular.ttf"
|
||
|
||
# BabelDOC 環境變數
|
||
ENV BABELDOC_CACHE_PATH="/root/.cache/babeldoc"
|
||
ENV BABELDOC_SERVICE="google"
|
||
# 禁止 BabelDOC 自動下載（強制使用預下載資源）
|
||
ENV BABELDOC_OFFLINE="1"
|
||
|
||
# MinerU 環境變數
|
||
# 強制使用本地模型，禁止 runtime 下載
|
||
ENV MINERU_MODEL_SOURCE="local"
|
||
|
||
# HuggingFace 離線模式（禁止 runtime 下載）
|
||
# ⚠️ 此變數在所有模型下載完成後設定
|
||
ENV HF_HUB_OFFLINE="1"
|
||
ENV TRANSFORMERS_OFFLINE="1"
|
||
|
||
# ==============================================================================
|
||
# 最終清理（模型下載完成後）
|
||
# ==============================================================================
|
||
# ⚠️ 此清理步驟獨立於模型下載 RUN，僅清理文件檔案
|
||
# 模型相關 cache 已在上一個 RUN 中清除
|
||
# ==============================================================================
|
||
RUN rm -rf /usr/share/doc/texlive* \
|
||
&& rm -rf /usr/share/texlive/texmf-dist/doc \
|
||
&& rm -rf /usr/share/doc/* \
|
||
&& rm -rf /usr/share/man/* \
|
||
&& rm -rf /usr/share/info/*
|
||
|
||
# ==============================================================================
|
||
# 設定 locale（支援中文 PDF 避免亂碼）
|
||
# ==============================================================================
|
||
RUN sed -i 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# zh_TW.UTF-8 UTF-8/zh_TW.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# zh_CN.UTF-8 UTF-8/zh_CN.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# ja_JP.UTF-8 UTF-8/ja_JP.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# ko_KR.UTF-8 UTF-8/ko_KR.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# de_DE.UTF-8 UTF-8/de_DE.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
sed -i 's/# fr_FR.UTF-8 UTF-8/fr_FR.UTF-8 UTF-8/' /etc/locale.gen && \
|
||
locale-gen
|
||
|
||
# 預設使用 zh_TW.UTF-8 確保中文 PDF 正確顯示
|
||
ENV LANG=zh_TW.UTF-8
|
||
ENV LC_ALL=zh_TW.UTF-8
|
||
|
||
# ==============================================================================
|
||
# 安裝自訂字型（標楷體等台灣常用字型）
|
||
# ==============================================================================
|
||
RUN mkdir -p /usr/share/fonts/truetype/custom
|
||
COPY fonts/ /usr/share/fonts/truetype/custom/
|
||
RUN fc-cache -fv
|
||
|
||
# ==============================================================================
|
||
# Install VTracer binary（向量追蹤工具）
|
||
# ==============================================================================
|
||
RUN ARCH=$(uname -m) && \
|
||
if [ "$ARCH" = "aarch64" ]; then \
|
||
VTRACER_ASSET="vtracer-aarch64-unknown-linux-musl.tar.gz"; \
|
||
else \
|
||
VTRACER_ASSET="vtracer-x86_64-unknown-linux-musl.tar.gz"; \
|
||
fi && \
|
||
curl -L -o /tmp/vtracer.tar.gz "https://github.com/visioncortex/vtracer/releases/download/0.6.4/${VTRACER_ASSET}" && \
|
||
tar -xzf /tmp/vtracer.tar.gz -C /tmp/ && \
|
||
mv /tmp/vtracer /usr/local/bin/vtracer && \
|
||
chmod +x /usr/local/bin/vtracer && \
|
||
rm /tmp/vtracer.tar.gz
|
||
|
||
COPY --from=install /temp/prod/node_modules node_modules
|
||
COPY --from=prerelease /app/public/ /app/public/
|
||
COPY --from=prerelease /app/dist /app/dist
|
||
|
||
# 複製模型驗證腳本
|
||
COPY scripts/verify-models.sh /app/scripts/verify-models.sh
|
||
RUN chmod +x /app/scripts/verify-models.sh
|
||
|
||
RUN mkdir data
|
||
|
||
EXPOSE 3000/tcp
|
||
|
||
# ==============================================================================
|
||
# 環境變數
|
||
# ==============================================================================
|
||
# Calibre 需要
|
||
ENV QTWEBENGINE_CHROMIUM_FLAGS="--no-sandbox"
|
||
# Pandoc PDF 引擎（使用 pdflatex 以獲得最佳相容性）
|
||
ENV PANDOC_PDF_ENGINE=pdflatex
|
||
# Node 環境
|
||
ENV NODE_ENV=production
|
||
|
||
# ==============================================================================
|
||
# 🌐 PDFMathTranslate 翻譯服務設定
|
||
# ==============================================================================
|
||
# ⚠️ 重要：PDFMathTranslate 的翻譯功能需要網路連接！
|
||
# - DocLayout-YOLO ONNX 模型（已離線預下載）：用於佈局分析
|
||
# - 翻譯服務（需要網路）：將文字翻譯成目標語言
|
||
#
|
||
# 支援的翻譯服務：
|
||
# - google: Google Translate（免費，需網路）
|
||
# - bing: Microsoft Bing Translator（免費，需網路）
|
||
# - deepl: DeepL（需 API Key，需網路）
|
||
# - ollama: 本地 Ollama LLM（可離線，需額外設定）
|
||
#
|
||
# 若要完全離線翻譯，請使用 ollama 並設定 OLLAMA_HOST
|
||
# ==============================================================================
|
||
ENV PDFMATHTRANSLATE_SERVICE="google"
|
||
|
||
# ==============================================================================
|
||
# 🔒 Runtime 模型離線模式設定
|
||
# ==============================================================================
|
||
# ⚠️ 這些設定禁止 runtime 下載「模型」，但不影響翻譯 API 調用
|
||
# PDFMathTranslate 使用的 Google/Bing 翻譯是線上 API，不是模型下載
|
||
# ==============================================================================
|
||
|
||
# HuggingFace 模型離線（禁止下載新模型）
|
||
ENV HF_HUB_OFFLINE="1"
|
||
ENV TRANSFORMERS_OFFLINE="1"
|
||
ENV HF_DATASETS_OFFLINE="1"
|
||
|
||
# 禁止 pip 安裝新套件
|
||
ENV PIP_NO_INDEX="1"
|
||
|
||
# MinerU 強制使用本地模型
|
||
ENV MINERU_MODEL_SOURCE="local"
|
||
|
||
# BabelDOC 模型離線模式
|
||
ENV BABELDOC_OFFLINE="1"
|
||
|
||
ENTRYPOINT [ "bun", "run", "dist/src/index.js" ]
|