ocr_mkcontent.py 11 KB

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  1. from loguru import logger
  2. from magic_pdf.libs.commons import join_path
  3. from magic_pdf.libs.language import detect_lang
  4. from magic_pdf.libs.markdown_utils import ocr_escape_special_markdown_char
  5. from magic_pdf.libs.ocr_content_type import ContentType, BlockType
  6. import wordninja
  7. import re
  8. def split_long_words(text):
  9. segments = text.split(' ')
  10. for i in range(len(segments)):
  11. words = re.findall(r'\w+|[^\w\s]', segments[i], re.UNICODE)
  12. for j in range(len(words)):
  13. if len(words[j]) > 15:
  14. words[j] = ' '.join(wordninja.split(words[j]))
  15. segments[i] = ''.join(words)
  16. return ' '.join(segments)
  17. def ocr_mk_mm_markdown_with_para(pdf_info_list: list, img_buket_path):
  18. markdown = []
  19. for page_info in pdf_info_list:
  20. paras_of_layout = page_info.get("para_blocks")
  21. page_markdown = ocr_mk_markdown_with_para_core_v2(paras_of_layout, "mm", img_buket_path)
  22. markdown.extend(page_markdown)
  23. return '\n\n'.join(markdown)
  24. def ocr_mk_nlp_markdown_with_para(pdf_info_dict: list):
  25. markdown = []
  26. for page_info in pdf_info_dict:
  27. paras_of_layout = page_info.get("para_blocks")
  28. page_markdown = ocr_mk_markdown_with_para_core_v2(paras_of_layout, "nlp")
  29. markdown.extend(page_markdown)
  30. return '\n\n'.join(markdown)
  31. def ocr_mk_mm_markdown_with_para_and_pagination(pdf_info_dict: list, img_buket_path):
  32. markdown_with_para_and_pagination = []
  33. page_no = 0
  34. for page_info in pdf_info_dict:
  35. paras_of_layout = page_info.get("para_blocks")
  36. if not paras_of_layout:
  37. continue
  38. page_markdown = ocr_mk_markdown_with_para_core_v2(paras_of_layout, "mm", img_buket_path)
  39. markdown_with_para_and_pagination.append({
  40. 'page_no': page_no,
  41. 'md_content': '\n\n'.join(page_markdown)
  42. })
  43. page_no += 1
  44. return markdown_with_para_and_pagination
  45. def ocr_mk_markdown_with_para_core(paras_of_layout, mode, img_buket_path=""):
  46. page_markdown = []
  47. for paras in paras_of_layout:
  48. for para in paras:
  49. para_text = ''
  50. for line in para:
  51. for span in line['spans']:
  52. span_type = span.get('type')
  53. content = ''
  54. language = ''
  55. if span_type == ContentType.Text:
  56. content = span['content']
  57. language = detect_lang(content)
  58. if language == 'en': # 只对英文长词进行分词处理,中文分词会丢失文本
  59. content = ocr_escape_special_markdown_char(split_long_words(content))
  60. else:
  61. content = ocr_escape_special_markdown_char(content)
  62. elif span_type == ContentType.InlineEquation:
  63. content = f"${span['content']}$"
  64. elif span_type == ContentType.InterlineEquation:
  65. content = f"\n$$\n{span['content']}\n$$\n"
  66. elif span_type in [ContentType.Image, ContentType.Table]:
  67. if mode == 'mm':
  68. content = f"\n![]({join_path(img_buket_path, span['image_path'])})\n"
  69. elif mode == 'nlp':
  70. pass
  71. if content != '':
  72. if language == 'en': # 英文语境下 content间需要空格分隔
  73. para_text += content + ' '
  74. else: # 中文语境下,content间不需要空格分隔
  75. para_text += content
  76. if para_text.strip() == '':
  77. continue
  78. else:
  79. page_markdown.append(para_text.strip() + ' ')
  80. return page_markdown
  81. def ocr_mk_markdown_with_para_core_v2(paras_of_layout, mode, img_buket_path=""):
  82. page_markdown = []
  83. for para_block in paras_of_layout:
  84. para_text = ''
  85. para_type = para_block['type']
  86. if para_type == BlockType.Text:
  87. para_text = merge_para_with_text(para_block)
  88. elif para_type == BlockType.Title:
  89. para_text = f"# {merge_para_with_text(para_block)}"
  90. elif para_type == BlockType.InterlineEquation:
  91. para_text = merge_para_with_text(para_block)
  92. elif para_type == BlockType.Image:
  93. if mode == 'nlp':
  94. continue
  95. elif mode == 'mm':
  96. for block in para_block['blocks']:
  97. if block['type'] == BlockType.ImageBody:
  98. for line in block['lines']:
  99. for span in line['spans']:
  100. if span['type'] == ContentType.Image:
  101. para_text = f"\n![]({join_path(img_buket_path, span['image_path'])})\n"
  102. for block in para_block['blocks']:
  103. if block['type'] == BlockType.ImageCaption:
  104. para_text += merge_para_with_text(block)
  105. elif para_type == BlockType.Table:
  106. if mode == 'nlp':
  107. continue
  108. elif mode == 'mm':
  109. for block in para_block['blocks']:
  110. if block['type'] == BlockType.TableBody:
  111. for line in block['lines']:
  112. for span in line['spans']:
  113. if span['type'] == ContentType.Table:
  114. para_text = f"\n![]({join_path(img_buket_path, span['image_path'])})\n"
  115. for block in para_block['blocks']:
  116. if block['type'] == BlockType.TableCaption:
  117. para_text += merge_para_with_text(block)
  118. elif block['type'] == BlockType.TableFootnote:
  119. para_text += merge_para_with_text(block)
  120. if para_text.strip() == '':
  121. continue
  122. else:
  123. page_markdown.append(para_text.strip() + ' ')
  124. return page_markdown
  125. def merge_para_with_text(para_block):
  126. para_text = ''
  127. for line in para_block['lines']:
  128. for span in line['spans']:
  129. span_type = span['type']
  130. content = ''
  131. language = ''
  132. if span_type == ContentType.Text:
  133. content = span['content']
  134. language = detect_lang(content)
  135. if language == 'en': # 只对英文长词进行分词处理,中文分词会丢失文本
  136. content = ocr_escape_special_markdown_char(split_long_words(content))
  137. else:
  138. content = ocr_escape_special_markdown_char(content)
  139. elif span_type == ContentType.InlineEquation:
  140. content = f"${span['content']}$"
  141. elif span_type == ContentType.InterlineEquation:
  142. content = f"\n$$\n{span['content']}\n$$\n"
  143. if content != '':
  144. if language == 'en': # 英文语境下 content间需要空格分隔
  145. para_text += content + ' '
  146. else: # 中文语境下,content间不需要空格分隔
  147. para_text += content
  148. return para_text
  149. def para_to_standard_format(para, img_buket_path):
  150. para_content = {}
  151. if len(para) == 1:
  152. para_content = line_to_standard_format(para[0], img_buket_path)
  153. elif len(para) > 1:
  154. para_text = ''
  155. inline_equation_num = 0
  156. for line in para:
  157. for span in line['spans']:
  158. language = ''
  159. span_type = span.get('type')
  160. content = ""
  161. if span_type == ContentType.Text:
  162. content = span['content']
  163. language = detect_lang(content)
  164. if language == 'en': # 只对英文长词进行分词处理,中文分词会丢失文本
  165. content = ocr_escape_special_markdown_char(split_long_words(content))
  166. else:
  167. content = ocr_escape_special_markdown_char(content)
  168. elif span_type == ContentType.InlineEquation:
  169. content = f"${span['content']}$"
  170. inline_equation_num += 1
  171. if language == 'en': # 英文语境下 content间需要空格分隔
  172. para_text += content + ' '
  173. else: # 中文语境下,content间不需要空格分隔
  174. para_text += content
  175. para_content = {
  176. 'type': 'text',
  177. 'text': para_text,
  178. 'inline_equation_num': inline_equation_num
  179. }
  180. return para_content
  181. def make_standard_format_with_para(pdf_info_dict: list, img_buket_path: str):
  182. content_list = []
  183. for page_info in pdf_info_dict:
  184. paras_of_layout = page_info.get("para_blocks")
  185. if not paras_of_layout:
  186. continue
  187. for paras in paras_of_layout:
  188. for para in paras:
  189. para_content = para_to_standard_format(para, img_buket_path)
  190. content_list.append(para_content)
  191. return content_list
  192. def line_to_standard_format(line, img_buket_path):
  193. line_text = ""
  194. inline_equation_num = 0
  195. for span in line['spans']:
  196. if not span.get('content'):
  197. if not span.get('image_path'):
  198. continue
  199. else:
  200. if span['type'] == ContentType.Image:
  201. content = {
  202. 'type': 'image',
  203. 'img_path': join_path(img_buket_path, span['image_path'])
  204. }
  205. return content
  206. elif span['type'] == ContentType.Table:
  207. content = {
  208. 'type': 'table',
  209. 'img_path': join_path(img_buket_path, span['image_path'])
  210. }
  211. return content
  212. else:
  213. if span['type'] == ContentType.InterlineEquation:
  214. interline_equation = span['content']
  215. content = {
  216. 'type': 'equation',
  217. 'latex': f"$$\n{interline_equation}\n$$"
  218. }
  219. return content
  220. elif span['type'] == ContentType.InlineEquation:
  221. inline_equation = span['content']
  222. line_text += f"${inline_equation}$"
  223. inline_equation_num += 1
  224. elif span['type'] == ContentType.Text:
  225. text_content = ocr_escape_special_markdown_char(span['content']) # 转义特殊符号
  226. line_text += text_content
  227. content = {
  228. 'type': 'text',
  229. 'text': line_text,
  230. 'inline_equation_num': inline_equation_num
  231. }
  232. return content
  233. def ocr_mk_mm_standard_format(pdf_info_dict: list):
  234. """
  235. content_list
  236. type string image/text/table/equation(行间的单独拿出来,行内的和text合并)
  237. latex string latex文本字段。
  238. text string 纯文本格式的文本数据。
  239. md string markdown格式的文本数据。
  240. img_path string s3://full/path/to/img.jpg
  241. """
  242. content_list = []
  243. for page_info in pdf_info_dict:
  244. blocks = page_info.get("preproc_blocks")
  245. if not blocks:
  246. continue
  247. for block in blocks:
  248. for line in block['lines']:
  249. content = line_to_standard_format(line)
  250. content_list.append(content)
  251. return content_list