import logging
import base64
from io import BytesIO
from typing import List, Dict, Any

logger = logging.getLogger(__name__)


class SpeechToTextConverter:
    """语音转文字转换器"""
    
    def __init__(self):
        """初始化语音转文字转换器"""
        logger.info("初始化语音转文字转换器")
        # 这里可以加载预训练模型
        # 示例中使用简单的规则转换
    
    def convert(self, audios: List[str], params: Dict[str, Any] = None) -> List[Dict[str, Any]]:
        """转换语音为文字
        
        Args:
            audios: 音频列表，每个音频为base64编码字符串
            params: 转换参数
            
        Returns:
            转换结果列表
        """
        if params is None:
            params = {}
        
        language = params.get("language", "zh")
        
        results = []
        for audio_base64 in audios:
            # 简单的规则转换示例
            transcription = self._simple_convert(audio_base64, language)
            results.append({
                "audio": audio_base64[:100] + "..." if len(audio_base64) > 100 else audio_base64,
                "text": transcription["text"],
                "confidence": transcription["confidence"]
            })
        
        return results
    
    def _simple_convert(self, audio_base64: str, language: str) -> Dict[str, Any]:
        """简单的语音转文字实现
        
        Args:
            audio_base64: base64编码的音频
            language: 语言
            
        Returns:
            转换结果
        """
        # 简单的规则转换（基于音频大小和内容特征）
        try:
            # 解码base64
            audio_data = base64.b64decode(audio_base64)
            
            # 计算音频大小特征
            audio_size = len(audio_data)
            
            # 基于大小的简单转换
            if audio_size < 10240:  # 小于10KB
                text = "这是一段短音频"
            elif audio_size < 102400:  # 小于100KB
                text = "这是一段中等长度的音频"
            else:  # 大于100KB
                text = "这是一段长音频"
            
            # 根据语言调整文本
            if language == "en":
                if audio_size < 10240:
                    text = "This is a short audio"
                elif audio_size < 102400:
                    text = "This is a medium length audio"
                else:
                    text = "This is a long audio"
            
            return {
                "text": text,
                "confidence": 0.85
            }
        except Exception as e:
            logger.error(f"Speech to text conversion error: {str(e)}")
            return {
                "text": "",
                "confidence": 0.0
            }