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69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
#!/user/bin/python
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# -*- coding: utf-8 -*-
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"""
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Description: 政治文本过滤
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Create: 2024/12/26 15:43
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"""
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import time
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from pathlib import Path
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from typing import Dict, Any
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from loguru import logger
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from datamate.common.utils.aho_corasick import AhoCorasic
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from datamate.core.base_op import Mapper
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class PoliticalWordCleaner(Mapper):
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"""外部输入的政治文本过滤插件"""
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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root_path = Path(__file__).parent / 'resources'
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political_file_path = str(root_path / 'political.txt')
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special_symbols_path = str(root_path / 'special_symbols.txt')
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self.special_symbols = self.load_words_list(special_symbols_path)
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self.political_words = self.load_words_list(political_file_path)
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self.ac_automaton = AhoCorasic(self.political_words)
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@staticmethod
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def load_words_list(path):
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"""词表加载"""
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with open(path, 'r', encoding='utf-8') as f:
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words = set(f.read().splitlines())
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return words
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@staticmethod
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def words_replace(target_strings: list, text: str):
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"""
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目标字符串替换。
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Args:
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target_strings: 前缀树根节点。
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text: 待清洗文本。
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returns:
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清洗后文本。
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"""
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target_strings.sort(key=lambda x: -len(x))
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for s in target_strings:
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tmp_text = text.replace(s, '*' * len(s))
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text = tmp_text
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return text
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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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self.read_file_first(sample)
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sample[self.text_key] = self._political_word_filter(sample[self.text_key])
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logger.info(
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f"fileName: {sample[self.filename_key]}, method: PoliticalWordCleaner costs {time.time() - start:6f} s")
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return sample
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def _political_word_filter(self, text):
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"""词语过滤主函数，分行过滤"""
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filtered_rows = []
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for row in text.split('\n'):
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matched_words = self.ac_automaton.search(row, self.special_symbols)
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filtered_rows.append(self.words_replace(matched_words, row))
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return '\n'.join(filtered_rows)
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