| import json |
| import os |
| import re |
| from typing import List, Dict, Any |
|
|
|
|
| def truncate_repeated_tail(s, threshold=20, keep=1): |
| """ |
| 如果字符串尾部重复出现某个元素超过threshold次,则只保留keep个该元素 |
| |
| 参数: |
| s: 输入字符串 |
| threshold: 重复次数阈值,默认20 |
| keep: 保留的重复次数,默认5 |
| |
| 返回: |
| 处理后的字符串 |
| """ |
| if not s: |
| return s |
|
|
| |
| max_pattern_len = min(100, len(s) // threshold) |
|
|
| for pattern_len in range(1, max_pattern_len + 1): |
| if len(s) < pattern_len: |
| break |
|
|
| |
| pattern = s[-pattern_len:] |
|
|
| |
| count = 0 |
| pos = len(s) |
|
|
| while pos >= pattern_len: |
| if s[pos - pattern_len:pos] == pattern: |
| count += 1 |
| pos -= pattern_len |
| else: |
| break |
|
|
| |
| if count > threshold: |
| |
| non_repeat_part = s[:pos] |
| kept_repeats = pattern * keep |
| |
| |
| return non_repeat_part + kept_repeats |
|
|
| |
| return s |
|
|
|
|
| def extract_table_from_html(html_string): |
| """Extract and clean table tags from HTML string""" |
| try: |
| table_pattern = re.compile(r'<table.*?>.*?</table>', re.DOTALL) |
| tables = table_pattern.findall(html_string) |
| tables = [ |
| re.sub(r'<table[^>]*>', '<table>', table) for table in tables |
| ] |
| tables = [re.sub(r'>\n', '>', table) for table in tables] |
| return '\n'.join(tables) |
| except Exception as e: |
| print(f'extract_table_from_html error: {str(e)}') |
| return f'<table><tr><td>Error extracting table: {str(e)}</td></tr></table>' |
|
|
|
|
| rules = [ |
| (r'-<\|sn\|>', ''), |
| (r'<\|sn\|>', ''), |
| (r'<\|unk\|>', ''), |
| (r'\uffff', ''), |
| (r'_{4,}', '___'), |
| (r'\.{4,}', '...'), |
| |
| |
| ] |
|
|
| |
| pattern = r'\\(big|Big|bigg|Bigg|bigl|bigr|Bigl|Bigr|biggr|biggl|Biggl|Biggr)\{(\\?[{}\[\]\(\)\|])\}' |
|
|
|
|
| def fix_latex_brackets(text: str) -> str: |
| return re.sub(pattern, r'\\\1\2', text) |
|
|
|
|
| class MarkdownConverter: |
| """Convert structured recognition results to Markdown format""" |
|
|
| def __init__(self): |
| |
| self.heading_levels = { |
| 'sec_0': '#', |
| 'sec_1': '##', |
| 'sec_2': '###', |
| 'sec_3': '###', |
| 'sec_4': '###', |
| 'sec_5': '###', |
| } |
|
|
| |
| self.special_labels = { |
| 'sec_0', 'sec_1', 'sec_2', 'sec_3', 'sec_4', 'sec_5', 'list', |
| 'equ', 'tab', 'fig' |
| } |
|
|
| |
| self.replace_dict = { |
| '\\bm': '\mathbf ', |
| '\eqno': '\quad ', |
| '\quad': '\quad ', |
| '\leq': '\leq ', |
| '\pm': '\pm ', |
| '\\varmathbb': '\mathbb ', |
| '\in fty': '\infty', |
| '\mu': '\mu ', |
| '\cdot': '\cdot ', |
| '\langle': '\langle ', |
| '\pm': '\pm ' |
| } |
| |
|
|
| def try_remove_newline(self, text: str) -> str: |
| try: |
| |
| text = text.strip() |
| text = text.replace('-\n', '') |
|
|
| |
| def is_chinese(char): |
| return '\u4e00' <= char <= '\u9fff' |
|
|
| lines = text.split('\n') |
| processed_lines = [] |
|
|
| |
| for i in range(len(lines) - 1): |
| current_line = lines[i].strip() |
| next_line = lines[i + 1].strip() |
|
|
| |
| if current_line: |
| if next_line: |
| |
| if is_chinese(current_line[-1]) and is_chinese( |
| next_line[0]): |
| processed_lines.append(current_line) |
| else: |
| processed_lines.append(current_line + ' ') |
| else: |
| |
| processed_lines.append(current_line + '\n') |
| else: |
| |
| processed_lines.append('\n') |
|
|
| |
| if lines and lines[-1].strip(): |
| processed_lines.append(lines[-1].strip()) |
|
|
| text = ''.join(processed_lines) |
| return text |
|
|
| except Exception as e: |
| print(f'try_remove_newline error: {str(e)}') |
| return text |
|
|
| def _handle_text(self, text: str) -> str: |
| """ |
| Process regular text content, preserving paragraph structure |
| """ |
| try: |
| if not text: |
| return '' |
| if text in ['图中没有可识别的文本。', '图中无文本。', '图中没有文本。']: |
| return '' |
| for rule in rules: |
| text = re.sub(rule[0], rule[1], text) |
| |
| text = self._process_formulas_in_text(text) |
| text = text.replace('$\bullet$', '•') |
| |
| if '<table>' in text: |
| print(text) |
| text = re.sub(r'</?(table|tr|th|td|thead|tbody|tfoot)[^>]*>', |
| '', |
| text, |
| flags=re.IGNORECASE) |
| text = re.sub(r'\n\s*\n+', '\n', text) |
| print(text) |
| |
| return text |
| except Exception as e: |
| print(f'_handle_text error: {str(e)}') |
| return text |
|
|
| def _process_formulas_in_text(self, text: str) -> str: |
| """ |
| Process mathematical formulas in text by iteratively finding and replacing formulas. |
| - Identify inline and block formulas |
| - Replace newlines within formulas with \\ |
| """ |
| try: |
| text = text.replace(r'\upmu', |
| r'\mu').replace('\(', '$').replace('\)', '$') |
| for key, value in self.replace_dict.items(): |
| text = text.replace(key, value) |
| return text |
|
|
| except Exception as e: |
| print(f'_process_formulas_in_text error: {str(e)}') |
| return text |
|
|
| def _remove_newline_in_heading(self, text: str) -> str: |
| """ |
| Remove newline in heading |
| """ |
| try: |
| |
| def is_chinese(char): |
| return '\u4e00' <= char <= '\u9fff' |
|
|
| |
| if any(is_chinese(char) for char in text): |
| return text.replace('\n', '') |
| else: |
| return text.replace('\n', ' ') |
|
|
| except Exception as e: |
| print(f'_remove_newline_in_heading error: {str(e)}') |
| return text |
|
|
| def _handle_heading(self, text: str, label: str) -> str: |
| """ |
| Convert section headings to appropriate markdown format |
| """ |
| try: |
| level = self.heading_levels.get(label, '#') |
| text = text.strip() |
| text = self._remove_newline_in_heading(text) |
| text = self._handle_text(text) |
| return f'{level} {text}\n\n' |
|
|
| except Exception as e: |
| print(f'_handle_heading error: {str(e)}') |
| return f'# Error processing heading: {text}\n\n' |
|
|
| def _handle_list_item(self, text: str) -> str: |
| """ |
| Convert list items to markdown list format |
| """ |
| try: |
| return f'- {text.strip()}\n' |
| except Exception as e: |
| print(f'_handle_list_item error: {str(e)}') |
| return f'- Error processing list item: {text}\n' |
|
|
| def _handle_figure(self, text: str, section_count: int) -> str: |
| """ |
| Handle figure content |
| """ |
| try: |
| |
| if text.startswith('figures/'): |
| |
| relative_path = f'../{text}' |
| return f'\n\n' |
|
|
| |
| if text.startswith('\n\n' |
| elif ';' in text and ',' in text: |
| return f'\n\n' |
| else: |
| |
| img_format = 'png' |
| data_uri = f'data:image/{img_format};base64,{text}' |
| return f'\n\n' |
|
|
| except Exception as e: |
| print(f'_handle_figure error: {str(e)}') |
| return f'*[Error processing figure: {str(e)}]*\n\n' |
|
|
| def _handle_table(self, text: str) -> str: |
| """ |
| Convert table content to markdown format |
| """ |
| try: |
| markdown_content = [] |
| markdown_table = extract_table_from_html(text) |
| table_content = markdown_table.replace('<tdcolspan=', |
| '<td colspan=') |
| table_content = table_content.replace('<tdrowspan=', |
| '<td rowspan=') |
| table_content = table_content.replace('"colspan=', '" colspan=') |
| table_content = re.sub(r'<\|sn\|>', '', table_content) |
| table_content = re.sub(r'<\|unk\|>', '', table_content) |
| table_content = re.sub(r'\uffff', '', table_content) |
| table_content = re.sub(r'_{4,}', '___', table_content) |
| table_content = re.sub(r'\.{4,}', '...', table_content) |
|
|
| table_content = re.sub(r'</td\s+colspan="[^"]*"\s*>', |
| '</td>', |
| table_content, |
| flags=re.IGNORECASE) |
| table_content = re.sub(r'</td\s+rowspan="[^"]*"\s*>', |
| '</td>', |
| table_content, |
| flags=re.IGNORECASE) |
| table_content = re.sub(r'</th\s+rowspan="[^"]*"\s*>', |
| '</th>', |
| table_content, |
| flags=re.IGNORECASE) |
| table_content = re.sub(r'</th\s+colspan="[^"]*"\s*>', |
| '</th>', |
| table_content, |
| flags=re.IGNORECASE) |
| table_content = table_content.replace('\(', '$').replace('\)', '$') |
| table_content = table_content.replace('\[', |
| '$$').replace('\]', '$$') |
| markdown_table = re.sub(r'>\s*\n+\s*', |
| '>', |
| table_content, |
| flags=re.DOTALL) |
| markdown_content.append(markdown_table + '\n') |
| return '\n'.join(markdown_content) + '\n\n' |
|
|
| except Exception as e: |
| print(f'_handle_table error: {str(e)}') |
| return f'*[Error processing table: {str(e)}]*\n\n' |
|
|
| def _handle_formula(self, text: str) -> str: |
| """ |
| Handle formula-specific content |
| """ |
| try: |
| text = text.replace(r'\upmu', r'\mu') |
| result = re.sub(r'\\] \(\d+\)\n\n', r'\\]', text) |
| result = re.sub(r'<\|sn\|>', '', result) |
| result = re.sub(r'<\|unk\|>', '', result) |
| result = re.sub(r'\uffff', '', result) |
| result = re.sub(r'_{4,}', '___', result) |
| result = result.replace('\]\n*\[', '\\\\') |
| result = result.replace('\n\n\[', '') |
| result = result.replace('\]\n\n', '') |
| result = result.replace('\[\n', '') |
| result = result.replace('\n\]', '') |
| result = result.replace('\]', '') |
| result = result.replace('\[', '') |
| result = result.replace('\( ', '') |
| result = result.replace(' \)', '') |
| result = result.replace('\(', '') |
| text = result.replace('\)', '') |
| text = text.strip('$').rstrip('\ ').replace(r'\upmu', r'\mu') |
| for key, value in self.replace_dict.items(): |
| text = text.replace(key, value) |
| processed_text = '$$' + text + '$$' |
| processed_text = processed_text.replace('\n', '\\\\\n') |
| processed_text = fix_latex_brackets(processed_text) |
|
|
| |
| |
| return f'{processed_text}\n\n' |
|
|
| except Exception as e: |
| print(f'_handle_formula error: {str(e)}') |
| return f'*[Error processing formula: {str(e)}]*\n\n' |
|
|
| def convert(self, recognition_results: List[Dict[str, Any]]) -> str: |
| """ |
| Convert recognition results to markdown format |
| """ |
| try: |
| markdown_content = [] |
|
|
| |
| |
| |
| |
| |
|
|
| for section_count, result in enumerate(recognition_results): |
| try: |
| label = result.get('label', '') |
| text = result.get('text_unirec', '').strip() |
|
|
| |
| if not text: |
| continue |
| if label in [ |
| 'header', 'header_image', 'footer_image', 'footer', |
| 'aside_text', 'inline_formula', 'number' |
| ]: |
| continue |
| if label == 'number' and (section_count == 0 |
| or section_count |
| == len(recognition_results) - 1): |
| continue |
|
|
| text = truncate_repeated_tail(text) |
| if label == 'doc_title': |
| label = 'sec_0' |
| elif label == 'paragraph_title': |
| label = 'sec_1' |
| |
| if label in { |
| 'sec_0', 'sec_1', 'sec_2', 'sec_3', 'sec_4', |
| 'sec_5' |
| }: |
| markdown_content.append( |
| self._handle_heading(text, label)) |
| elif label in ['image', 'chart', 'seal']: |
| markdown_content.append( |
| self._handle_figure(text, section_count)) |
| elif label == 'table': |
| markdown_content.append(self._handle_table(text)) |
| elif label in ['display_formula']: |
| markdown_content.append(self._handle_formula(text)) |
| elif label == 'list': |
| markdown_content.append(self._handle_list_item(text)) |
| elif label == 'code': |
| markdown_content.append(f'```bash\n{text}\n```\n\n') |
| else: |
| |
| processed_text = self._handle_text(text) |
| markdown_content.append(f'{processed_text}\n\n') |
|
|
| except Exception as e: |
| print(f'Error processing item {section_count}: {str(e)}') |
| |
| markdown_content.append( |
| f'*[Error processing content]*\n\n') |
|
|
| |
| result = ''.join(markdown_content) |
| return result |
|
|
| except Exception as e: |
| print(f'convert error: {str(e)}') |
| return f'Error generating markdown content: {str(e)}' |
|
|
|
|
| if __name__ == '__main__': |
|
|
| markdown_converter = MarkdownConverter() |
| img_path = f'./OmniDocBench/images' |
| save_res_path = './rec_results' |
| img_path_list = os.listdir(img_path) |
| md_save_path = f'{save_res_path}/markdown_results' |
| os.makedirs(md_save_path, exist_ok=True) |
| for img_name in img_path_list: |
| file_path = os.path.join(save_res_path, img_name[:-4] + '_res.json') |
| if not os.path.exists(file_path): |
| continue |
| with open(file_path, 'r') as f: |
| json_data = json.load(f) |
| block_list = json_data['boxes'] |
| markdown_content = markdown_converter.convert(block_list) |
| with open(os.path.join(md_save_path, img_name[:-4] + '.md'), 'w') as f: |
| f.write(markdown_content) |
|
|