magicpdf.py 7.2 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200
  1. """
  2. 这里实现2个click命令:
  3. 第一个:
  4. 接收一个完整的s3路径,例如:s3://llm-pdf-text/pdf_ebook_and_paper/pre-clean-mm-markdown/v014/part-660420b490be-000008.jsonl?bytes=0,81350
  5. 1)根据~/magic-pdf.json里的ak,sk等,构造s3cliReader读取到这个jsonl的对应行,返回json对象。
  6. 2)根据Json对象里的pdf的s3路径获取到他的ak,sk,endpoint,构造出s3cliReader用来读取pdf
  7. 3)从magic-pdf.json里读取到本地保存图片、Md等的临时目录位置,构造出LocalImageWriter,用来保存截图
  8. 4)从magic-pdf.json里读取到本地保存图片、Md等的临时目录位置,构造出LocalIRdWriter,用来读写本地文件
  9. 最后把以上步骤准备好的对象传入真正的解析API
  10. 第二个:
  11. 接收1)pdf的本地路径。2)模型json文件(可选)。然后:
  12. 1)根据~/magic-pdf.json读取到本地保存图片、md等临时目录的位置,构造出LocalImageWriter,用来保存截图
  13. 2)从magic-pdf.json里读取到本地保存图片、Md等的临时目录位置,构造出LocalIRdWriter,用来读写本地文件
  14. 3)根据约定,根据pdf本地路径,推导出pdf模型的json,并读入
  15. 效果:
  16. python magicpdf.py --json s3://llm-pdf-text/scihub/xxxx.json?bytes=0,81350
  17. python magicpdf.py --pdf /home/llm/Downloads/xxxx.pdf --model /home/llm/Downloads/xxxx.json 或者 python magicpdf.py --pdf /home/llm/Downloads/xxxx.pdf
  18. """
  19. import os
  20. import json as json_parse
  21. import click
  22. from loguru import logger
  23. from pathlib import Path
  24. from magic_pdf.libs.draw_bbox import draw_layout_bbox
  25. from magic_pdf.pipe.UNIPipe import UNIPipe
  26. from magic_pdf.pipe.OCRPipe import OCRPipe
  27. from magic_pdf.pipe.TXTPipe import TXTPipe
  28. from magic_pdf.libs.config_reader import get_s3_config
  29. from magic_pdf.libs.path_utils import (
  30. parse_s3path,
  31. parse_s3_range_params,
  32. remove_non_official_s3_args,
  33. )
  34. from magic_pdf.libs.config_reader import get_local_dir
  35. from magic_pdf.rw.S3ReaderWriter import S3ReaderWriter
  36. from magic_pdf.rw.DiskReaderWriter import DiskReaderWriter
  37. from magic_pdf.rw.AbsReaderWriter import AbsReaderWriter
  38. parse_pdf_methods = click.Choice(["ocr", "txt", "auto"])
  39. def prepare_env(pdf_file_name, method):
  40. local_parent_dir = os.path.join(
  41. get_local_dir(), "magic-pdf", pdf_file_name, method
  42. )
  43. local_image_dir = os.path.join(local_parent_dir, "images")
  44. local_md_dir = local_parent_dir
  45. os.makedirs(local_image_dir, exist_ok=True)
  46. os.makedirs(local_md_dir, exist_ok=True)
  47. return local_image_dir, local_md_dir
  48. def _do_parse(pdf_file_name, pdf_bytes, model_list, parse_method, image_writer, md_writer, image_dir, local_md_dir):
  49. if parse_method == "auto":
  50. pipe = UNIPipe(pdf_bytes, model_list, image_writer, image_dir, is_debug=True)
  51. elif parse_method == "txt":
  52. pipe = TXTPipe(pdf_bytes, model_list, image_writer, image_dir, is_debug=True)
  53. elif parse_method == "ocr":
  54. pipe = OCRPipe(pdf_bytes, model_list, image_writer, image_dir, is_debug=True)
  55. else:
  56. print("unknow parse method")
  57. os.exit(1)
  58. pipe.pipe_classify()
  59. pipe.pipe_parse()
  60. pdf_info = pipe.pdf_mid_data['pdf_info']
  61. draw_layout_bbox(pdf_info, pdf_bytes, local_md_dir)
  62. md_content = pipe.pipe_mk_markdown()
  63. #part_file_name = datetime.now().strftime("%H-%M-%S")
  64. md_writer.write(
  65. content=md_content, path=f"{pdf_file_name}.md", mode=AbsReaderWriter.MODE_TXT
  66. )
  67. md_writer.write(
  68. content=json_parse.dumps(pipe.pdf_mid_data, ensure_ascii=False, indent=4),
  69. path=f"{pdf_file_name}.json",
  70. mode=AbsReaderWriter.MODE_TXT,
  71. )
  72. # try:
  73. # content_list = pipe.pipe_mk_uni_format()
  74. # except Exception as e:
  75. # logger.exception(e)
  76. # md_writer.write(
  77. # str(content_list), f"{part_file_name}.txt", AbsReaderWriter.MODE_TXT
  78. # )
  79. @click.group()
  80. def cli():
  81. pass
  82. @cli.command()
  83. @click.option("--json", type=str, help="输入一个S3路径")
  84. @click.option(
  85. "--method",
  86. type=parse_pdf_methods,
  87. help="指定解析方法。txt: 文本型 pdf 解析方法, ocr: 光学识别解析 pdf, auto: 程序智能选择解析方法",
  88. default="auto",
  89. )
  90. def json_command(json, method):
  91. if not json.startswith("s3://"):
  92. print("usage: python magipdf.py --json s3://some_bucket/some_path")
  93. os.exit(1)
  94. def read_s3_path(s3path):
  95. bucket, key = parse_s3path(s3path)
  96. s3_ak, s3_sk, s3_endpoint = get_s3_config(bucket)
  97. s3_rw = S3ReaderWriter(
  98. s3_ak, s3_sk, s3_endpoint, "auto", remove_non_official_s3_args(s3path)
  99. )
  100. may_range_params = parse_s3_range_params(s3path)
  101. if may_range_params is None or 2 != len(may_range_params):
  102. byte_start, byte_end = 0, None
  103. else:
  104. byte_start, byte_end = int(may_range_params[0]), int(may_range_params[1])
  105. byte_end += byte_start - 1
  106. return s3_rw.read_jsonl(
  107. remove_non_official_s3_args(s3path),
  108. byte_start,
  109. byte_end,
  110. AbsReaderWriter.MODE_BIN,
  111. )
  112. jso = json_parse.loads(read_s3_path(json).decode("utf-8"))
  113. s3_file_path = jso["file_location"]
  114. pdf_file_name = Path(s3_file_path).stem
  115. pdf_data = read_s3_path(s3_file_path)
  116. local_image_dir, local_md_dir = prepare_env(pdf_file_name, method)
  117. local_image_rw, local_md_rw = DiskReaderWriter(local_image_dir), DiskReaderWriter(
  118. local_md_dir
  119. )
  120. _do_parse(
  121. pdf_file_name,
  122. pdf_data,
  123. jso["doc_layout_result"],
  124. method,
  125. local_image_rw,
  126. local_md_rw,
  127. os.path.basename(local_image_dir),
  128. local_md_dir
  129. )
  130. @cli.command()
  131. @click.option(
  132. "--pdf", type=click.Path(exists=True), required=True, help="PDF文件的路径"
  133. )
  134. @click.option("--model", type=click.Path(exists=True), help="模型的路径")
  135. @click.option(
  136. "--method",
  137. type=parse_pdf_methods,
  138. help="指定解析方法。txt: 文本型 pdf 解析方法, ocr: 光学识别解析 pdf, auto: 程序智能选择解析方法",
  139. default="auto",
  140. )
  141. def pdf_command(pdf, model, method):
  142. # 这里处理pdf和模型相关的逻辑
  143. if model is None:
  144. model = pdf.replace(".pdf", ".json")
  145. if not os.path.exists(model):
  146. print(f"make sure json file existed and place under {os.dirname(pdf)}")
  147. os.exit(1)
  148. def read_fn(path):
  149. disk_rw = DiskReaderWriter(os.path.dirname(path))
  150. return disk_rw.read(os.path.basename(path), AbsReaderWriter.MODE_BIN)
  151. pdf_data = read_fn(pdf)
  152. jso = json_parse.loads(read_fn(model).decode("utf-8"))
  153. pdf_file_name = Path(pdf).stem
  154. local_image_dir, local_md_dir = prepare_env(pdf_file_name, method)
  155. local_image_rw, local_md_rw = DiskReaderWriter(local_image_dir), DiskReaderWriter(
  156. local_md_dir
  157. )
  158. _do_parse(
  159. pdf_file_name,
  160. pdf_data,
  161. jso,
  162. method,
  163. local_image_rw,
  164. local_md_rw,
  165. os.path.basename(local_image_dir),
  166. local_md_dir
  167. )
  168. if __name__ == "__main__":
  169. """
  170. python magic_pdf/cli/magicpdf.py json-command --json s3://llm-pdf-text/pdf_ebook_and_paper/manual/v001/part-660407a28beb-000002.jsonl?bytes=0,63551
  171. """
  172. cli()