import asyncio
import json
import uuid
import websockets
import os
from queue import Queue
from Config import Config
from Util.TTS_Protocols import full_client_request, receive_message, MsgType, EventType


class StreamingVolcanoTTS:
    def __init__(self, voice_type='zh_female_wanwanxiaohe_moon_bigtts', encoding='wav', max_concurrency=2):
        self.voice_type = voice_type
        self.encoding = encoding
        self.app_key = Config.HS_APP_ID
        self.access_token = Config.HS_ACCESS_TOKEN
        self.endpoint = "wss://openspeech.bytedance.com/api/v3/tts/unidirectional/stream"
        self.audio_queue = Queue()
        self.max_concurrency = max_concurrency  # 最大并发数
        self.semaphore = asyncio.Semaphore(max_concurrency)  # 并发控制信号量
        
    @staticmethod
    def get_resource_id(voice: str) -> str:
        if voice.startswith("S_"):
            return "volc.megatts.default"
        return "volc.service_type.10029"
        
    async def synthesize_stream(self, text_stream, audio_callback):
        """
        流式合成语音
        
        Args:
            text_stream: 文本流生成器
            audio_callback: 音频数据回调函数，接收音频片段
        """
        # 为每个文本片段创建一个WebSocket连接，但限制并发数
        tasks = []
        for text in text_stream:
            if text.strip():  # 忽略空文本
                task = asyncio.create_task(self._synthesize_single_with_semaphore(text, audio_callback))
                tasks.append(task)
                
        # 等待所有任务完成
        await asyncio.gather(*tasks)
        
    async def _synthesize_single_with_semaphore(self, text, audio_callback):
        """使用信号量控制并发数的单个文本合成"""
        async with self.semaphore:  # 获取信号量，限制并发数
            await self._synthesize_single(text, audio_callback)
            
    async def _synthesize_single(self, text, audio_callback):
        """合成单个文本片段"""
        headers = {
            "X-Api-App-Key": self.app_key,
            "X-Api-Access-Key": self.access_token,
            "X-Api-Resource-Id": self.get_resource_id(self.voice_type),
            "X-Api-Connect-Id": str(uuid.uuid4()),
        }

        websocket = await websockets.connect(
            self.endpoint, additional_headers=headers, max_size=10 * 1024 * 1024
        )

        try:
            request = {
                "user": {
                    "uid": str(uuid.uuid4()),
                },
                "req_params": {
                    "speaker": self.voice_type,
                    "audio_params": {
                        "format": self.encoding,
                        "sample_rate": 24000,
                        "enable_timestamp": True,
                    },
                    "text": text,
                    "additions": json.dumps({"disable_markdown_filter": False}),
                },
            }

            # 发送请求
            await full_client_request(websocket, json.dumps(request).encode())

            # 接收音频数据
            audio_data = bytearray()
            while True:
                msg = await receive_message(websocket)

                if msg.type == MsgType.FullServerResponse:
                    if msg.event == EventType.SessionFinished:
                        break
                elif msg.type == MsgType.AudioOnlyServer:
                    audio_data.extend(msg.payload)
                else:
                    raise RuntimeError(f"TTS conversion failed: {msg}")

            # 通过回调函数返回音频数据
            if audio_data:
                audio_callback(audio_data)

        finally:
            await websocket.close()


def audio_callback(audio_data):
    """
    音频数据回调函数，将音频数据保存到文件
    """
    # 创建输出目录
    output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "output")
    os.makedirs(output_dir, exist_ok=True)
    
    # 生成文件名
    filename = f"streaming_tts_{uuid.uuid4().hex[:8]}.wav"
    filepath = os.path.join(output_dir, filename)
    
    # 保存音频文件
    with open(filepath, "wb") as f:
        f.write(audio_data)
    
    print(f"音频片段已保存到: {filepath}")


async def test_streaming_tts():
    """
    测试流式TTS功能
    """
    # 创建TTS实例
    tts = StreamingVolcanoTTS()
    
    # 准备测试文本流
    test_texts = [
        "你好，我是火山引擎的语音合成服务。",
        "这是一个流式语音合成的测试。",
        "我们将文本分成多个片段进行合成。",
        "这样可以减少等待时间，提高用户体验。"
    ]
    
    print("开始测试流式TTS...")
    print(f"测试文本: {test_texts}")
    
    # 调用流式合成
    await tts.synthesize_stream(test_texts, audio_callback)
    
    print("流式TTS测试完成！")


def main():
    """
    主函数，运行测试
    """
    asyncio.run(test_streaming_tts())


if __name__ == "__main__":
    main()