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80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
import re
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from config.logger import setup_logging
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TAG = __name__
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logger = setup_logging()
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EMOTION_EMOJI_MAP = {
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"HAPPY": "🙂",
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"SAD": "😔",
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"ANGRY": "😡",
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"NEUTRAL": "😶",
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"FEARFUL": "😰",
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"DISGUSTED": "🤢",
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"SURPRISED": "😲",
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"EMO_UNKNOWN": "😶", # 未知情绪默认用中性表情
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}
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# EVENT_EMOJI_MAP = {
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# "<|BGM|>": "🎼",
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# "<|Speech|>": "",
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# "<|Applause|>": "👏",
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# "<|Laughter|>": "😀",
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# "<|Cry|>": "😭",
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# "<|Sneeze|>": "🤧",
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# "<|Breath|>": "",
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# "<|Cough|>": "🤧",
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# }
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def lang_tag_filter(text: str) -> dict | str:
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"""
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解析 FunASR 识别结果，按顺序提取标签和纯文本内容
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Args:
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text: ASR 识别的原始文本，可能包含多种标签
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Returns:
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dict: {"language": "zh", "emotion": "SAD", "emoji": "😔", "content": "你好"} 如果有标签
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str: 纯文本，如果没有标签
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Examples:
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FunASR 输出格式：<|语种|><|情绪|><|事件|><|其他选项|>原文
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>>> lang_tag_filter("<|zh|><|SAD|><|Speech|><|withitn|>你好啊，测试测试。")
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{"language": "zh", "emotion": "SAD", "emoji": "😔", "content": "你好啊，测试测试。"}
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>>> lang_tag_filter("<|en|><|HAPPY|><|Speech|><|withitn|>Hello hello.")
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{"language": "en", "emotion": "HAPPY", "emoji": "🙂", "content": "Hello hello."}
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>>> lang_tag_filter("plain text")
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"plain text"
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"""
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# 提取所有标签（按顺序）
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tag_pattern = r"<\|([^|]+)\|>"
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all_tags = re.findall(tag_pattern, text)
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# 移除所有 <|...|> 格式的标签，获取纯文本
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clean_text = re.sub(tag_pattern, "", text).strip()
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# 如果没有标签，直接返回纯文本
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if not all_tags:
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return clean_text
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# 按照 FunASR 的固定顺序提取标签，返回 dict
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language = all_tags[0] if len(all_tags) > 0 else "zh"
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emotion = all_tags[1] if len(all_tags) > 1 else "NEUTRAL"
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# event = all_tags[2] if len(all_tags) > 2 else "Speech" # 事件标签暂不使用
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result = {
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"content": clean_text,
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"language": language,
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"emotion": emotion,
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# "event": event,
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}
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# 添加 emoji 映射
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if emotion in EMOTION_EMOJI_MAP:
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result["emotion"] = EMOTION_EMOJI_MAP[emotion]
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# 事件标签暂不使用
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# if event in EVENT_EMOJI_MAP:
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# result["event"] = EVENT_EMOJI_MAP[event]
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return result
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