import requests
import json
import base64
import uuid
import logging
import datetime
import os
import oss2  # 新增导入
from .BaseAudioService import BaseAudioService
from django.conf import settings
from .AliyunAudioService import AliyunAudioService  # 导入AliyunAudioService

logger = logging.getLogger(__name__)

class HuoshanAudioService(BaseAudioService):
    
    def __init__(self, config):
        super().__init__("-", "-")
        self.config = config
        self.appid = config['appid']
        self.access_token = config['access_token']
        self.cluster = config['cluster']
        self.host = "openspeech.bytedance.com"
        self.voice_type = config.get('voice_type', 'S_PHQ1AVPl1')
        # OSS配置
        self.oss_key_id = config['aliyun_asr']['oss_key_id']
        self.oss_key_secret = config['aliyun_asr']['oss_key_secret']
        self.oss_bucket = config['aliyun_asr']['oss_bucket']
        self.oss_endpoint = config['aliyun_asr']['oss_endpoint']
        self.oss_host = config['aliyun_asr']['oss_host']
        self.oss_audio_base_dir = config['aliyun_asr']['oss_audio_base_dir']
        # 初始化阿里云语音服务实例用于语音识别
        if 'aliyun_asr' in config:
            aliyun_config = {
                'api_key': config['aliyun_asr']['api_key'],
                'api_secret': config['aliyun_asr']['api_secret'],
                'app_id': config['aliyun_asr']['app_id'],
                'oss_key_id': self.oss_key_id,
                'oss_key_secret': self.oss_key_secret,
                'oss_bucket': self.oss_bucket,
                'oss_endpoint': self.oss_endpoint,
                'oss_host': self.oss_host,
                'oss_audio_base_dir': self.oss_audio_base_dir
            }
            self.aliyun_service = AliyunAudioService(aliyun_config)
            logger.info("已初始化阿里云语音服务用于语音识别")
        else:
            self.aliyun_service = None
            logger.warning("阿里云语音识别配置未提供，语音识别功能可能不可用")
        
    def get_token(self):
        # 火山引擎使用access_token直接认证，不需要额外获取token
        return self.access_token
    
    def synthesize_speech(self, text, language='zh'):
        api_url = f"https://{self.host}/api/v1/tts"
        header = {"Authorization": f"Bearer;{self.access_token}"}
        request_json = {
            "app": {
                "appid": self.appid,
                "token": "access_token",
                "cluster": self.cluster
            },
            "user": {
                "uid": str(uuid.uuid4()).replace('-', '')
            },
            "audio": {
                "voice_type": self.voice_type,
                "encoding": "mp3",
                "speed_ratio": 1.0,
                "volume_ratio": 1.0,
                "pitch_ratio": 1.0,
            },
            "request": {
                "reqid": str(uuid.uuid4()),
                "text": text,
                "text_type": "plain",
                "operation": "query",
                "with_frontend": 1,
                "frontend_type": "unitTson"
            }
        }
        try:
            resp = requests.post(api_url, json.dumps(request_json), headers=header)
            resp_json = resp.json()
            if "data" in resp_json:
                data = resp_json["data"]
                audio_data = base64.b64decode(data)
                # 生成文件名和OSS路径
                random_uuid = uuid.uuid4()
                mp3_name = f"{random_uuid}.mp3"
                today = datetime.datetime.now().strftime('%Y%m%d')
                oss_key = f"{self.oss_audio_base_dir}/{today}/{mp3_name}"
                # 上传到OSS
                auth = oss2.Auth(self.oss_key_id, self.oss_key_secret)
                bucket = oss2.Bucket(auth, self.oss_endpoint, self.oss_bucket)
                bucket.put_object(oss_key, audio_data)
                # 返回OSS上的URL
                return f"{self.oss_host}/{oss_key}"
            else:
                logger.error(f"Error in Huoshan TTS response: {resp_json}")
                return None
        except Exception as e:
            logger.error(f"Error in Huoshan TTS: {str(e)}")
            return None
    
    def synthesize_speech_raw(self, text, language='zh'):
        """
        Generate speech from text and return the raw audio data directly
        without storing it or creating a URL
        """
        api_url = f"https://{self.host}/api/v1/tts"
        header = {"Authorization": f"Bearer;{self.access_token}"}
        request_json = {
            "app": {
                "appid": self.appid,
                "token": "access_token",
                "cluster": self.cluster
            },
            "user": {
                "uid": str(uuid.uuid4()).replace('-', '')
            },
            "audio": {
                "voice_type": self.voice_type,
                "encoding": "mp3",
                "speed_ratio": 1.0,
                "volume_ratio": 1.0,
                "pitch_ratio": 1.0,
            },
            "request": {
                "reqid": str(uuid.uuid4()),
                "text": text,
                "text_type": "plain",
                "operation": "query",
                "with_frontend": 1,
                "frontend_type": "unitTson"
            }
        }
        try:
            logger.info('Synthesizing speech with raw data return (Huoshan)')
            resp = requests.post(api_url, json.dumps(request_json), headers=header)
            resp_json = resp.json()
            if "data" in resp_json:
                data = resp_json["data"]
                return base64.b64decode(data)
            else:
                logger.error(f"Error in Huoshan TTS raw response: {resp_json}")
                return None
        except Exception as e:
            logger.error(f"Error in Huoshan TTS raw: {str(e)}")
            return None
    
    def recognize_speech(self, audio_data, language='zh') -> str:
        """
        使用阿里云语音服务进行语音识别
        """
        if not self.aliyun_service:
            logger.error("阿里云语音服务未初始化，无法进行语音识别")
            return "语音识别服务未配置"
        try:
            logger.info("通过阿里云语音服务进行语音识别")
            result = self.aliyun_service.recognize_speech(audio_data, language)
            return result
        except Exception as e:
            logger.error(f"调用阿里云语音识别服务失败: {str(e)}")
            return f"语音识别异常: {str(e)}"