spark_api.py 1.5 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455
  1. """
  2. 用户输入:
  3. model数组,每个元素代表一个页面
  4. pdf在s3的路径
  5. 截图保存的s3位置
  6. 然后:
  7. 1)根据s3路径,调用spark集群的api,拿到ak,sk,endpoint,构造出s3PDFReader
  8. 2)根据用户输入的s3地址,调用spark集群的api,拿到ak,sk,endpoint,构造出s3ImageWriter
  9. 其余部分至于构造s3cli, 获取ak,sk都在code-clean里写代码完成。不要反向依赖!!!
  10. """
  11. from magic_pdf.io import AbsReaderWriter
  12. from magic_pdf.pdf_parse_by_ocr import parse_pdf_by_ocr
  13. from magic_pdf.pdf_parse_by_txt import parse_pdf_by_txt
  14. def parse_txt_pdf(pdf_bytes:bytes, pdf_models:list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs):
  15. """
  16. 解析文本类pdf
  17. """
  18. pdf_info_dict = parse_pdf_by_txt(
  19. pdf_bytes,
  20. pdf_models,
  21. imageWriter,
  22. start_page_id=start_page,
  23. debug_mode=is_debug,
  24. )
  25. return pdf_info_dict
  26. pass
  27. def parse_ocr_pdf(pdf_bytes:bytes, pdf_models:list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs):
  28. """
  29. 解析ocr类pdf
  30. """
  31. pdf_info_dict = parse_pdf_by_ocr(
  32. pdf_bytes,
  33. pdf_models,
  34. imageWriter,
  35. start_page_id=start_page,
  36. debug_mode=is_debug,
  37. )
  38. return pdf_info_dict
  39. def parse_union_pdf(pdf_bytes:bytes, pdf_models:list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs):
  40. """
  41. ocr和文本混合的pdf,全部解析出来
  42. """
  43. pass