You've already forked DataMate
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
#!/user/bin/python
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# -*- coding: utf-8 -*-
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"""
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Description: 图注表注去除
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Create: 2024/12/5 15:43
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"""
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import re
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import time
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from typing import Dict, Any
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from loguru import logger
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from datamate.core.base_op import Mapper
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class LegendCleaner(Mapper):
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@staticmethod
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def _get_legend_re_compile():
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chinese_legend_prefix = r"(图|表|图片|表格)"
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chinese_legend_number = r"(\d+((\.|-)\d+)*|[a-zA-Z]{1,2}((\.|-)\d+)*)"
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chinese_legend_pattern = r"(?<=\n)" + chinese_legend_prefix + "( )*" + chinese_legend_number + " +.*\n"
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english_legend_pattern = r"(Figure|Table|Fig\.?)"
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english_legend_number = r"(S?\d+((\.|-)\d+)*|[a-zA-Z]{1,2}\d?((\.|-)\d+)*)"
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english_legend_pattern = (r"(?<=\n)" + english_legend_pattern + "( )*"
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+ english_legend_number + r"(\.|:)? +.*\n")
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legend_re_compile = re.compile('|'.join([chinese_legend_pattern, english_legend_pattern]), re.IGNORECASE)
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return legend_re_compile
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@classmethod
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def _clean_html_tag(cls, input_data: str):
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"""移除文档中图注表注等"""
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input_data = ''.join(['\n', input_data, '\n'])
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text = cls._get_legend_re_compile().sub("", input_data)
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return text[1:-1]
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def execute(self, sample: Dict[str, Any]) -> Dict[str, Any]:
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start = time.time()
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sample[self.text_key] = self._clean_html_tag(sample[self.text_key])
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logger.info(f"fileName: {sample[self.filename_key]}, method: LegendCleaner costs {time.time() - start:6f} s")
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return sample
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