'commit'

dsLightRag/ShiTi/T3_DocxToMd.py

@@ -7,7 +7,8 @@ async def main():
     # 要处理的文件路径
     file_path = "Docx/《动能定理》巩固练习.docx"
     # 转换docx为md
-    get_docx_content_by_pandoc(file_path, '../Word转试题.md',extract_media='../static/Images/')
+    get_docx_content_by_pandoc(file_path, '../Word转试题.md', parent_dir=True)
+
 
 if __name__ == "__main__":
     asyncio.run(main())

dsLightRag/Util/DocxUtil.py

@@ -3,7 +3,7 @@ import subprocess
 import uuid
 
 
-def get_docx_content_by_pandoc(docx_file, output_file=None, extract_media=None):
+def get_docx_content_by_pandoc(docx_file, output_file=None, parent_dir=None):
     # 最后拼接的内容
     content = ""
     # output_file 设置为临时目录下的uuid.md
@@ -11,10 +11,16 @@ def get_docx_content_by_pandoc(docx_file, output_file=None, extract_media=None):
     # 将docx_file去掉扩展名
     prefix = docx_file.split(".")[0].split("/")[-1]
     temp_markdown = os.path.join('./static/markdown/', prefix + '.md')
+    if parent_dir:
+        temp_markdown = os.path.join('../static/markdown/', prefix + '.md')
     # 调用pandoc将docx文件转换成markdown
-    if extract_media is None:
+    if parent_dir is None:
         os.mkdir("./static/Images/" + file_name)
         extract_media = "./static/Images/"
+    else:
+        os.mkdir("../static/Images/" + file_name)
+        extract_media = "../static/Images/"
+
     subprocess.run(['pandoc', docx_file, '-f', 'docx', '-t', 'markdown', '-o', temp_markdown,
                     '--extract-media=' + extract_media + file_name])
     # 读取然后修改内容，输出到新的文件

dsLightRag/Word转试题.md

@@ -1,6 +1,6 @@
 【题型】不定项选择
 【题文】如图所示，固定斜面倾角为*θ*，整个斜面分为*AB*、*BC*两段，*AB*＝2*BC*.小物块*P*(可视为质点)与*AB*、*BC*两段斜面间的动摩擦因数分别为*μ*~1~、*μ*~2~.已知*P*由静止开始从*A*点释放，恰好能滑动到*C*点而停下，那么*θ*、*μ*~1~、*μ*~2~间应满足的关系是(　　)
-![5-40.tif](./static/Images/6855d84768e44d74ad95dfb7033bcf40/media/image1.png){width="0.9847222222222223in"
+![5-40.tif](../static/Images/3a5fa82d1a614209a8b81f9321b21808/media/image1.png){width="0.9847222222222223in"
 height="0.6979166666666666in"}A．$tan\theta\text{＝}\frac{\mu_{1} + 2\mu_{2}}{3}$
 B．$tan\theta\text{＝}\frac{2\mu_{1} + \mu_{2}}{3}$
 C．$tan\theta\text{＝}2\mu_{1} - \mu_{2}$