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extract_content_with_image

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将本地 PDF、TXT、Word、PPT 文件分割为文本和图片chunk。

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Source SKILL.md: https://github.com/landingbj/LinkMind/blob/HEAD/lagi-web/src/main/resources/skills/extract_content_with_image/SKILL.md

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extract_content_with_image

使用方式

执行脚本前请先激活环境

  • 脚本入口：scripts/extract_content_with_image.py
  • 参数：argv[1] 为待处理文件的本地绝对路径
  • 支持输入：.pdf、.txt、.doc、.docx、.ppt、.pptx

输出格式（stdout）

  • 仅输出一个 JSON 对象，便于 Java 侧直接 json.loads / parseJsonObject
  • 成功：{"status":"success","filepath":"...pdf","data":[...]}
  • 失败：{"status":"failed","msg":"<具体异常信息>"}
  • data 中每个元素形如：{"text":"...", "image":"<图片列表的 JSON 字符串或空串>"}

运行依赖

  • 必需：PyMuPDF（fitz）和 Pillow
  • 可选：soffice，用于 .doc/.docx/.ppt/.pptx/.txt 转 PDF；可用环境变量 SOFFICE_PATH 指定
  • 无 soffice 时：
    • .txt 会直接用 fitz 生成 PDF，并基于原始文本做分块
    • .doc/.docx/.ppt/.pptx 会返回失败 JSON
  • 可选：transformers + TOKENIZER_DIR 或 MODEL_DIR
    • 配置后按 tokenizer 的 token 数分块，和 VicunaIndex 更接近
    • 未配置时按字符数分块，默认 CHUNK_SIZE=512

行为说明

  • 脚本会先把输入文件复制到 SKILL_OUTPUT_DIR/extract_content_with_image/<run_id>/files/
  • 若发生格式转换，filepath 返回转换后的 PDF 路径
  • 图片会裁剪到同一个运行目录下，并在 image 字段中以绝对路径返回
  • page_dir 会在结束时清理，保留裁剪后的图片文件