init datamate

runtime/ops/mapper/legend_cleaner/__init__.py

@@ -0,0 +1,6 @@
+# -*- coding: utf-8 -*-
+
+from datamate.core.base_op import OPERATORS
+
+OPERATORS.register_module(module_name='LegendCleaner',
+                          module_path="ops.mapper.legend_cleaner.process")

runtime/ops/mapper/legend_cleaner/metadata.yml

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+name: '图注表注去除'
+name_en: 'Figure and Table Description Removal'
+description: '去除文档中的图注、表注等内容。'
+description_en: 'Removes figure and table description from documents.'
+language: 'python'
+vendor: 'huawei'
+raw_id: 'LegendCleaner'
+version: '1.0.0'
+types:
+  - 'cleanse'
+modal: 'text'
+effect:
+  before: '图1.1.1 图注名称'
+  after: ''
+inputs: 'text'
+outputs: 'text'

runtime/ops/mapper/legend_cleaner/process.py

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