136 lines
4.5 KiB
Python
136 lines
4.5 KiB
Python
import json
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import base64
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import os
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import struct
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import asyncio
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import websockets
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import time
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from fastapi import FastAPI, WebSocket, Query
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from starlette.websockets import WebSocketState
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from app.config.env import env
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def add_websocket_voice_recognise_route(app: FastAPI):
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@app.websocket("/ws_voice_recognise")
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async def ws_voice_recognise(receive_socket: WebSocket, user_id: str = Query(..., description="用户ID")):
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print("新用户连接", user_id)
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# 接收连接
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await receive_socket.accept()
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# 百炼WebSocket配置
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API_KEY = env.llm_key_bailian
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QWEN_MODEL = "qwen3-asr-flash-realtime"
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baseUrl = "wss://dashscope.aliyuncs.com/api-ws/v1/realtime"
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url = f"{baseUrl}?model={QWEN_MODEL}"
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"OpenAI-Beta": "realtime=v1"
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}
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bailian_socket = None
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try:
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# 连接百炼WebSocket
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bailian_socket = await websockets.connect(url, additional_headers=headers)
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print("已连接到百炼WebSocket")
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# 发送会话更新事件
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session_event = {
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"event_id": "event_123",
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"type": "session.update",
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"session": {
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"modalities": ["text"],
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"input_audio_format": "pcm",
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"sample_rate": 16000,
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"input_audio_transcription": {
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"language": "zh"
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},
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"turn_detection": {
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"type": "server_vad",
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"threshold": 0.2,
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"silence_duration_ms": 800
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}
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}
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}
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await bailian_socket.send(json.dumps(session_event))
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# 创建双向转发任务
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async def waiting_msg_from_front():
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"""将前端PCM数据转发到百炼"""
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try:
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while True:
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# 接收前端PCM数据（二进制格式）
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pcm_data_string = await receive_socket.receive_text()
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pcm_data_list = json.loads(pcm_data_string)
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# print("pcm_data", pcm_data_list)
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# print(f"接收到PCM数组数据，长度: {len(pcm_data_list)}")
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# 将 int16 列表打包成 bytes
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pcm_bytes = struct.pack('<' + 'h' * len(pcm_data_list), *pcm_data_list)
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# 将二进制PCM数据转换为base64编码
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encoded_data = base64.b64encode(pcm_bytes).decode('utf-8')
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# 构造发送到百炼的事件
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audio_event = {
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"event_id": f"event_{int(time.time() * 1000)}",
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"type": "input_audio_buffer.append",
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"audio": encoded_data
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}
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await bailian_socket.send(json.dumps(audio_event))
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# print("已转发音频数据到百炼", f"PCM二进制数据，长度: {len(pcm_bytes)} 字节")
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except Exception as e:
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if "CloseCode.NO_STATUS_RCVD" in str(e):
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print("前端连接已断开(无状态码)")
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else:
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print(f"等待前端的消息出错: {e}")
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async def waiting_msg_from_bailian():
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"""将百炼识别结果转发到客户端"""
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try:
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async for message in bailian_socket:
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data = json.loads(message)
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print("收到百炼消息", data.get("type"))
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# 将识别结果发送给前端
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await receive_socket.send_text(json.dumps(data, ensure_ascii=False))
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# 如果收到最终转录结果，可以单独处理
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if data.get("type") == "conversation.item.input_audio_transcription.completed":
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transcript = data.get("transcript", "")
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print(f"最终转录结果: {transcript}")
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# 可以发送专门的转录消息给前端
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await receive_socket.send_text(json.dumps({
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"type": "final_transcript",
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"text": transcript
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}, ensure_ascii=False))
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except Exception as e:
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print(f"等待百炼的消息出错: {e}")
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# 并发运行两个任务
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await asyncio.gather(
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waiting_msg_from_front(),
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waiting_msg_from_bailian(),
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return_exceptions=True
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)
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except Exception as e:
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print(f"WebSocket连接错误: {e}")
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finally:
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print("finally ===>>>>>>>>>>>>>>>>>>>>>>>>>>>")
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# 清理连接
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if bailian_socket:
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try:
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await bailian_socket.close()
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except:
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pass # 忽略关闭时的任何错误
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if receive_socket.application_state != WebSocketState.DISCONNECTED:
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print("关闭websocket")
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await receive_socket.close()
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print("websocket已经关闭", user_id)
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