import requests
import logging
from .BaseAudioService import BaseAudioService

logger = logging.getLogger(__name__)

class TencentAudioService(BaseAudioService):

    def get_token(self):
        # 实现腾讯云获取token的逻辑
        url = "https://your.tencent.token.endpoint"
        data = {
            'api_key': self.api_key,
            'api_secret': self.api_secret
        }
        response = requests.post(url, data=data)
        return response.json().get('access_token')

    def synthesize_speech(self, text, language='en'):
        # 实现腾讯云语音合成的逻辑
        token = self.get_token()
        url = "https://your.tencent.synthesis.endpoint"
        headers = {
            'Authorization': f'Bearer {token}',
            'Content-Type': 'application/json'
        }
        data = {
            'text': text,
            'language': language
        }
        response = requests.post(url, headers=headers, json=data)
        return response.content
    
    def synthesize_speech_raw(self, text, language='en'):
        """
        Generate speech from text and return the raw audio data directly
        without storing it or creating a URL
        
        Args:
            text (str): The text to convert to speech
            language (str, optional): Language code. Defaults to 'en'.
            
        Returns:
            bytes: Raw audio data
        """
        # 在腾讯云的实现中，synthesize_speech 已经返回原始数据
        # 所以这里直接调用那个方法即可
        logger.info('Synthesizing speech with raw data return (Tencent)')
        return self.synthesize_speech(text, language)

    def recognize_speech(self, audio_data, language='en') -> str:
        # 实现腾讯云语音识别的逻辑
        token = self.get_token()
        url = "https://your.tencent.recognition.endpoint"
        headers = {
            'Authorization': f'Bearer {token}',
            'Content-Type': 'audio/wav'  # 根据实际情况修改
        }
        response = requests.post(url, headers=headers, data=audio_data)
        return response.json()