data_processor.py 6.1 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165
  1. """
  2. 数据处理模块
  3. 负责处理 MinerU 数据,添加 bbox 信息
  4. """
  5. from typing import List, Dict, Tuple
  6. from bs4 import BeautifulSoup
  7. try:
  8. from .text_matcher import TextMatcher
  9. except ImportError:
  10. from text_matcher import TextMatcher
  11. class DataProcessor:
  12. """数据处理器"""
  13. def __init__(self, text_matcher: TextMatcher, look_ahead_window: int = 10):
  14. """
  15. Args:
  16. text_matcher: 文本匹配器
  17. look_ahead_window: 向前查找窗口
  18. """
  19. self.text_matcher = text_matcher
  20. self.look_ahead_window = look_ahead_window
  21. def process_mineru_data(self, mineru_data: List[Dict],
  22. paddle_text_boxes: List[Dict]) -> List[Dict]:
  23. """
  24. 处理 MinerU 数据,添加 bbox 信息
  25. Args:
  26. mineru_data: MinerU 数据
  27. paddle_text_boxes: PaddleOCR 文字框列表
  28. Returns:
  29. 合并后的数据
  30. """
  31. merged_data = []
  32. paddle_pointer = 0
  33. last_matched_index = 0
  34. # 按 bbox 排序
  35. mineru_data.sort(
  36. key=lambda x: (x['bbox'][1], x['bbox'][0])
  37. if 'bbox' in x else (float('inf'), float('inf'))
  38. )
  39. for item in mineru_data:
  40. item_type = item.get('type', '')
  41. if item_type == 'table':
  42. merged_item, paddle_pointer = self._process_table(
  43. item, paddle_text_boxes, paddle_pointer
  44. )
  45. merged_data.append(merged_item)
  46. elif item_type in ['text', 'title']:
  47. merged_item, paddle_pointer, last_matched_index = self._process_text(
  48. item, paddle_text_boxes, paddle_pointer, last_matched_index
  49. )
  50. merged_data.append(merged_item)
  51. elif item_type == 'list':
  52. merged_item, paddle_pointer, last_matched_index = self._process_list(
  53. item, paddle_text_boxes, paddle_pointer, last_matched_index
  54. )
  55. merged_data.append(merged_item)
  56. else:
  57. merged_data.append(item.copy())
  58. return merged_data
  59. def _process_table(self, item: Dict, paddle_text_boxes: List[Dict],
  60. start_pointer: int) -> Tuple[Dict, int]:
  61. """处理表格"""
  62. merged_item = item.copy()
  63. table_html = item.get('table_body', '')
  64. enhanced_html, cells, new_pointer = self._enhance_table_html_with_bbox(
  65. table_html, paddle_text_boxes, start_pointer
  66. )
  67. merged_item['table_body'] = enhanced_html
  68. merged_item['table_body_with_bbox'] = enhanced_html
  69. merged_item['bbox_mapping'] = 'merged_from_paddle_ocr'
  70. merged_item['table_cells'] = cells if cells else []
  71. return merged_item, new_pointer
  72. def _process_text(self, item: Dict, paddle_text_boxes: List[Dict],
  73. paddle_pointer: int, last_matched_index: int) -> Tuple[Dict, int, int]:
  74. """处理文本"""
  75. merged_item = item.copy()
  76. text = item.get('text', '')
  77. matched_bbox, paddle_pointer, last_matched_index = \
  78. self.text_matcher.find_matching_bbox(
  79. text, paddle_text_boxes, paddle_pointer, last_matched_index,
  80. self.look_ahead_window
  81. )
  82. if matched_bbox:
  83. matched_bbox['used'] = True
  84. return merged_item, paddle_pointer, last_matched_index
  85. def _process_list(self, item: Dict, paddle_text_boxes: List[Dict],
  86. paddle_pointer: int, last_matched_index: int) -> Tuple[Dict, int, int]:
  87. """处理列表"""
  88. merged_item = item.copy()
  89. list_items = item.get('list_items', [])
  90. for list_item in list_items:
  91. matched_bbox, paddle_pointer, last_matched_index = \
  92. self.text_matcher.find_matching_bbox(
  93. list_item, paddle_text_boxes, paddle_pointer, last_matched_index,
  94. self.look_ahead_window
  95. )
  96. if matched_bbox:
  97. matched_bbox['used'] = True
  98. return merged_item, paddle_pointer, last_matched_index
  99. def _enhance_table_html_with_bbox(self, html: str, paddle_text_boxes: List[Dict],
  100. start_pointer: int) -> Tuple[str, List[Dict], int]:
  101. """为 HTML 表格添加 bbox 信息"""
  102. soup = BeautifulSoup(html, 'html.parser')
  103. current_pointer = start_pointer
  104. last_matched_index = start_pointer
  105. cells = []
  106. for row_idx, row in enumerate(soup.find_all('tr')):
  107. for col_idx, cell in enumerate(row.find_all(['td', 'th'])):
  108. cell_text = cell.get_text(strip=True)
  109. if not cell_text:
  110. continue
  111. matched_bbox, current_pointer, last_matched_index = \
  112. self.text_matcher.find_matching_bbox(
  113. cell_text, paddle_text_boxes, current_pointer,
  114. last_matched_index, self.look_ahead_window
  115. )
  116. if matched_bbox:
  117. bbox = matched_bbox['bbox']
  118. cell['data-bbox'] = f"[{bbox[0]},{bbox[1]},{bbox[2]},{bbox[3]}]"
  119. cell['data-score'] = f"{matched_bbox['score']:.4f}"
  120. cell['data-paddle-index'] = str(matched_bbox['paddle_bbox_index'])
  121. cells.append({
  122. 'type': 'table_cell',
  123. 'text': cell_text,
  124. 'bbox': bbox,
  125. 'row': row_idx + 1,
  126. 'col': col_idx + 1,
  127. 'score': matched_bbox['score'],
  128. 'paddle_bbox_index': matched_bbox['paddle_bbox_index']
  129. })
  130. matched_bbox['used'] = True
  131. return str(soup), cells, current_pointer