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48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
# coding=utf-8
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"""
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@project: maxkb
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@Author：虎
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@file： text_split_handle.py
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@date：2024/3/27 18:19
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@desc:
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"""
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import re
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from typing import List
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from charset_normalizer import detect
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from common.handle.base_split_handle import BaseSplitHandle
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from common.util.split_model import SplitModel
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default_pattern_list = [re.compile('(?<=^)# .*|(?<=\\n)# .*'), re.compile('(?<!#)## (?!#).*'),
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re.compile("(?<!#)### (?!#).*"),
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re.compile("(?<!#)#### (?!#).*"), re.compile("(?<!#)##### (?!#).*"),
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re.compile("(?<!#)###### (?!#).*"), re.compile("(?<!\n)\n\n+")]
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class TextSplitHandle(BaseSplitHandle):
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def support(self, file, get_buffer):
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buffer = get_buffer(file)
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file_name: str = file.name.lower()
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if file_name.endswith(".md") or file_name.endswith('.txt'):
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return True
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result = detect(buffer)
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if result['encoding'] != 'ascii' and result['confidence'] > 0.5:
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return True
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return False
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def handle(self, file, pattern_list: List, with_filter: bool, limit: int, get_buffer):
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buffer = get_buffer(file)
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if pattern_list is not None and len(pattern_list) > 0:
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split_model = SplitModel(pattern_list, with_filter, limit)
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else:
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split_model = SplitModel(default_pattern_list, with_filter=with_filter, limit=limit)
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try:
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content = buffer.decode(detect(buffer)['encoding'])
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except BaseException as e:
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return {'name': file.name,
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'content': []}
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return {'name': file.name,
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'content': split_model.parse(content)
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}
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