forked from killua/TakwayDisplayPlatform
82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
import re
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def extract_language_and_text_updated(speaker, dialogue):
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# 使用正则表达式匹配<语言>标签和其后的文本
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pattern_language_text = r"<(\S+?)>([^<]+)"
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matches = re.findall(pattern_language_text, dialogue, re.DOTALL)
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speaker = speaker[1:-1]
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# 清理文本：去除两边的空白字符
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matches_cleaned = [(lang.upper(), text.strip()) for lang, text in matches]
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matches_cleaned.append(speaker)
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return matches_cleaned
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def validate_text(input_text):
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# 验证说话人的正则表达式
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pattern_speaker = r"(\[\S+?\])((?:\s*<\S+?>[^<\[\]]+?)+)"
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# 使用re.DOTALL标志使.匹配包括换行符在内的所有字符
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matches = re.findall(pattern_speaker, input_text, re.DOTALL)
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# 对每个匹配到的说话人内容进行进一步验证
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for _, dialogue in matches:
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language_text_matches = extract_language_and_text_updated(_, dialogue)
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if not language_text_matches:
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return (
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False,
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"Error: Invalid format detected in dialogue content. Please check your input.",
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)
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# 如果输入的文本中没有找到任何匹配项
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if not matches:
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return (
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False,
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"Error: No valid speaker format detected. Please check your input.",
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)
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return True, "Input is valid."
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def text_matching(text: str) -> list:
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speaker_pattern = r"(\[\S+?\])(.+?)(?=\[\S+?\]|$)"
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matches = re.findall(speaker_pattern, text, re.DOTALL)
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result = []
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for speaker, dialogue in matches:
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result.append(extract_language_and_text_updated(speaker, dialogue))
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return result
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def cut_para(text):
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splitted_para = re.split("[\n]", text) # 按段分
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splitted_para = [
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sentence.strip() for sentence in splitted_para if sentence.strip()
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] # 删除空字符串
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return splitted_para
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def cut_sent(para):
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para = re.sub("([。！;？\?])([^”’])", r"\1\n\2", para) # 单字符断句符
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para = re.sub("(\.{6})([^”’])", r"\1\n\2", para) # 英文省略号
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para = re.sub("(\…{2})([^”’])", r"\1\n\2", para) # 中文省略号
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para = re.sub("([。！？\?][”’])([^，。！？\?])", r"\1\n\2", para)
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para = para.rstrip() # 段尾如果有多余的\n就去掉它
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return para.split("\n")
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if __name__ == "__main__":
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text = """
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[说话人1]
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[说话人2]<zh>你好吗？<jp>元気ですか？<jp>こんにちは，世界。<zh>你好吗？
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[说话人3]<zh>谢谢。<jp>どういたしまして。
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"""
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text_matching(text)
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# 测试函数
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test_text = """
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[说话人1]<zh>你好，こんにちは！<jp>こんにちは，世界。
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[说话人2]<zh>你好吗？
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"""
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text_matching(test_text)
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res = validate_text(test_text)
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print(res)
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