import os import json import uuid import time import queue import asyncio import traceback import threading import websockets from typing import Dict, Any import plugins_func.loadplugins from config.logger import setup_logging from core.utils.dialogue import Message, Dialogue from core.handle.textHandle import handleTextMessage from core.utils.util import get_string_no_punctuation_or_emoji, extract_json_from_string, get_ip_info from concurrent.futures import ThreadPoolExecutor, TimeoutError from core.handle.sendAudioHandle import sendAudioMessage from core.handle.receiveAudioHandle import handleAudioMessage from core.handle.functionHandler import FunctionHandler from plugins_func.register import Action from config.private_config import PrivateConfig from core.auth import AuthMiddleware, AuthenticationError from core.utils.auth_code_gen import AuthCodeGenerator TAG = __name__ class TTSException(RuntimeError): pass class ConnectionHandler: def __init__(self, config: Dict[str, Any], _vad, _asr, _llm, _tts, _memory, _intent): self.config = config self.logger = setup_logging() self.auth = AuthMiddleware(config) self.websocket = None self.headers = None self.client_ip = None self.client_ip_info = {} self.session_id = None self.prompt = None self.welcome_msg = None # 客户端状态相关 self.client_abort = False self.client_listen_mode = "auto" # 线程任务相关 self.loop = asyncio.get_event_loop() self.stop_event = threading.Event() self.tts_queue = queue.Queue() self.audio_play_queue = queue.Queue() self.executor = ThreadPoolExecutor(max_workers=10) # 依赖的组件 self.vad = _vad self.asr = _asr self.llm = _llm self.tts = _tts self.memory = _memory self.intent = _intent # vad相关变量 self.client_audio_buffer = bytes() self.client_have_voice = False self.client_have_voice_last_time = 0.0 self.client_no_voice_last_time = 0.0 self.client_voice_stop = False # asr相关变量 self.asr_audio = [] self.asr_server_receive = True # llm相关变量 self.llm_finish_task = False self.dialogue = Dialogue() # tts相关变量 self.tts_first_text_index = -1 self.tts_last_text_index = -1 # iot相关变量 self.iot_descriptors = {} self.cmd_exit = self.config["CMD_exit"] self.max_cmd_length = 0 for cmd in self.cmd_exit: if len(cmd) > self.max_cmd_length: self.max_cmd_length = len(cmd) self.private_config = None self.auth_code_gen = AuthCodeGenerator.get_instance() self.is_device_verified = False # 添加设备验证状态标志 self.close_after_chat = False # 是否在聊天结束后关闭连接 self.use_function_call_mode = False if self.config["selected_module"]["Intent"] == 'function_call': self.use_function_call_mode = True async def handle_connection(self, ws): try: # 获取并验证headers self.headers = dict(ws.request.headers) # 获取客户端ip地址 self.client_ip = ws.remote_address[0] self.logger.bind(tag=TAG).info(f"{self.client_ip} conn - Headers: {self.headers}") # 进行认证 await self.auth.authenticate(self.headers) device_id = self.headers.get("device-id", None) self.memory.init_memory(device_id, self.llm) self.intent.set_llm(self.llm) # Load private configuration if device_id is provided bUsePrivateConfig = self.config.get("use_private_config", False) self.logger.bind(tag=TAG).info(f"bUsePrivateConfig: {bUsePrivateConfig}, device_id: {device_id}") if bUsePrivateConfig and device_id: try: self.private_config = PrivateConfig(device_id, self.config, self.auth_code_gen) await self.private_config.load_or_create() # 判断是否已经绑定 owner = self.private_config.get_owner() self.is_device_verified = owner is not None if self.is_device_verified: await self.private_config.update_last_chat_time() llm, tts = self.private_config.create_private_instances() if all([llm, tts]): self.llm = llm self.tts = tts self.logger.bind(tag=TAG).info(f"Loaded private config and instances for device {device_id}") else: self.logger.bind(tag=TAG).error(f"Failed to create instances for device {device_id}") self.private_config = None except Exception as e: self.logger.bind(tag=TAG).error(f"Error initializing private config: {e}") self.private_config = None raise # 认证通过,继续处理 self.websocket = ws self.session_id = str(uuid.uuid4()) self.welcome_msg = self.config["xiaozhi"] self.welcome_msg["session_id"] = self.session_id await self.websocket.send(json.dumps(self.welcome_msg)) # 异步初始化 await self.loop.run_in_executor(None, self._initialize_components) # tts 消化线程 tts_priority = threading.Thread(target=self._tts_priority_thread, daemon=True) tts_priority.start() # 音频播放 消化线程 audio_play_priority = threading.Thread(target=self._audio_play_priority_thread, daemon=True) audio_play_priority.start() try: async for message in self.websocket: await self._route_message(message) except websockets.exceptions.ConnectionClosed: self.logger.bind(tag=TAG).info("客户端断开连接") await self.close() except AuthenticationError as e: self.logger.bind(tag=TAG).error(f"Authentication failed: {str(e)}") await ws.close() return except Exception as e: stack_trace = traceback.format_exc() self.logger.bind(tag=TAG).error(f"Connection error: {str(e)}-{stack_trace}") await ws.close() return finally: await self.memory.save_memory(self.dialogue.dialogue) async def _route_message(self, message): """消息路由""" if isinstance(message, str): await handleTextMessage(self, message) elif isinstance(message, bytes): await handleAudioMessage(self, message) def _initialize_components(self): self.prompt = self.config["prompt"] if self.private_config: self.prompt = self.private_config.private_config.get("prompt", self.prompt) self.client_ip_info = get_ip_info(self.client_ip) self.logger.bind(tag=TAG).info(f"Client ip info: {self.client_ip_info}") self.prompt = self.prompt + f"\n我在:{self.client_ip_info}" self.dialogue.put(Message(role="system", content=self.prompt)) self.func_handler = FunctionHandler(self) def change_system_prompt(self, prompt): self.prompt = prompt # 找到原来的role==system，替换原来的系统提示 for m in self.dialogue.dialogue: if m.role == "system": m.content = prompt async def _check_and_broadcast_auth_code(self): """检查设备绑定状态并广播认证码""" if not self.private_config.get_owner(): auth_code = self.private_config.get_auth_code() if auth_code: # 发送验证码语音提示 text = f"请在后台输入验证码：{' '.join(auth_code)}" self.recode_first_last_text(text) future = self.executor.submit(self.speak_and_play, text) self.tts_queue.put(future) return False return True def isNeedAuth(self): bUsePrivateConfig = self.config.get("use_private_config", False) if not bUsePrivateConfig: # 如果不使用私有配置，就不需要验证 return False return not self.is_device_verified def chat(self, query): if self.isNeedAuth(): self.llm_finish_task = True future = asyncio.run_coroutine_threadsafe(self._check_and_broadcast_auth_code(), self.loop) future.result() return True self.dialogue.put(Message(role="user", content=query)) response_message = [] processed_chars = 0 # 跟踪已处理的字符位置 try: start_time = time.time() # 使用带记忆的对话 future = asyncio.run_coroutine_threadsafe(self.memory.query_memory(query), self.loop) memory_str = future.result() self.logger.bind(tag=TAG).debug(f"记忆内容: {memory_str}") llm_responses = self.llm.response( self.session_id, self.dialogue.get_llm_dialogue_with_memory(memory_str) ) except Exception as e: self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}") return None self.llm_finish_task = False text_index = 0 for content in llm_responses: response_message.append(content) if self.client_abort: break end_time = time.time() self.logger.bind(tag=TAG).debug(f"大模型返回时间: {end_time - start_time} 秒, 生成token={content}") # 合并当前全部文本并处理未分割部分 full_text = "".join(response_message) current_text = full_text[processed_chars:] # 从未处理的位置开始 # 查找最后一个有效标点 punctuations = ("。", "？", "！", "；", "：") last_punct_pos = -1 for punct in punctuations: pos = current_text.rfind(punct) if pos > last_punct_pos: last_punct_pos = pos # 找到分割点则处理 if last_punct_pos != -1: segment_text_raw = current_text[:last_punct_pos + 1] segment_text = get_string_no_punctuation_or_emoji(segment_text_raw) if segment_text: # 强制设置空字符，测试TTS出错返回语音的健壮性 # if text_index % 2 == 0: # segment_text = " " text_index += 1 self.recode_first_last_text(segment_text, text_index) future = self.executor.submit(self.speak_and_play, segment_text, text_index) self.tts_queue.put(future) processed_chars += len(segment_text_raw) # 更新已处理字符位置 # 处理最后剩余的文本 full_text = "".join(response_message) remaining_text = full_text[processed_chars:] if remaining_text: segment_text = get_string_no_punctuation_or_emoji(remaining_text) if segment_text: text_index += 1 self.recode_first_last_text(segment_text, text_index) future = self.executor.submit(self.speak_and_play, segment_text, text_index) self.tts_queue.put(future) self.llm_finish_task = True self.dialogue.put(Message(role="assistant", content="".join(response_message))) self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False)) return True def chat_with_function_calling(self, query, tool_call=False): self.logger.bind(tag=TAG).debug(f"Chat with function calling start: {query}") """Chat with function calling for intent detection using streaming""" if self.isNeedAuth(): self.llm_finish_task = True future = asyncio.run_coroutine_threadsafe(self._check_and_broadcast_auth_code(), self.loop) future.result() return True if not tool_call: self.dialogue.put(Message(role="user", content=query)) # Define intent functions functions = self.func_handler.get_functions() response_message = [] processed_chars = 0 # 跟踪已处理的字符位置 try: start_time = time.time() # 使用带记忆的对话 future = asyncio.run_coroutine_threadsafe(self.memory.query_memory(query), self.loop) memory_str = future.result() # self.logger.bind(tag=TAG).info(f"对话记录: {self.dialogue.get_llm_dialogue_with_memory(memory_str)}") # 使用支持functions的streaming接口 llm_responses = self.llm.response_with_functions( self.session_id, self.dialogue.get_llm_dialogue_with_memory(memory_str), functions=functions ) except Exception as e: self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}") return None self.llm_finish_task = False text_index = 0 # 处理流式响应 tool_call_flag = False function_name = None function_id = None function_arguments = "" content_arguments = "" for response in llm_responses: content, tools_call = response if content is not None and len(content) > 0: if len(response_message) <= 0 and (content == "```" or "" in content): tool_call_flag = True if tools_call is not None: tool_call_flag = True if tools_call[0].id is not None: function_id = tools_call[0].id if tools_call[0].function.name is not None: function_name = tools_call[0].function.name if tools_call[0].function.arguments is not None: function_arguments += tools_call[0].function.arguments if content is not None and len(content) > 0: if tool_call_flag: content_arguments += content else: response_message.append(content) if self.client_abort: break end_time = time.time() self.logger.bind(tag=TAG).debug(f"大模型返回时间: {end_time - start_time} 秒, 生成token={content}") # 处理文本分段和TTS逻辑 # 合并当前全部文本并处理未分割部分 full_text = "".join(response_message) current_text = full_text[processed_chars:] # 从未处理的位置开始 # 查找最后一个有效标点 punctuations = ("。", "？", "！", "；", "：") last_punct_pos = -1 for punct in punctuations: pos = current_text.rfind(punct) if pos > last_punct_pos: last_punct_pos = pos # 找到分割点则处理 if last_punct_pos != -1: segment_text_raw = current_text[:last_punct_pos + 1] segment_text = get_string_no_punctuation_or_emoji(segment_text_raw) if segment_text: text_index += 1 self.recode_first_last_text(segment_text, text_index) future = self.executor.submit(self.speak_and_play, segment_text, text_index) self.tts_queue.put(future) processed_chars += len(segment_text_raw) # 更新已处理字符位置 # 处理function call if tool_call_flag: bHasError = False if function_id is None: a = extract_json_from_string(content_arguments) if a is not None: try: content_arguments_json = json.loads(a) function_name = content_arguments_json["name"] function_arguments = json.dumps(content_arguments_json["arguments"], ensure_ascii=False) function_id = str(uuid.uuid4().hex) except Exception as e: bHasError = True response_message.append(a) else: bHasError = True response_message.append(content_arguments) if bHasError: self.logger.bind(tag=TAG).error(f"function call error: {content_arguments}") else: function_arguments = json.loads(function_arguments) if not bHasError: self.logger.bind(tag=TAG).info( f"function_name={function_name}, function_id={function_id}, function_arguments={function_arguments}") function_call_data = { "name": function_name, "id": function_id, "arguments": function_arguments } result = self.func_handler.handle_llm_function_call(self, function_call_data) self._handle_function_result(result, function_call_data, text_index + 1) # 处理最后剩余的文本 full_text = "".join(response_message) remaining_text = full_text[processed_chars:] if remaining_text: segment_text = get_string_no_punctuation_or_emoji(remaining_text) if segment_text: text_index += 1 self.recode_first_last_text(segment_text, text_index) future = self.executor.submit(self.speak_and_play, segment_text, text_index) self.tts_queue.put(future) # 存储对话内容 if len(response_message) > 0: self.dialogue.put(Message(role="assistant", content="".join(response_message))) self.llm_finish_task = True self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False)) return True def _handle_function_result(self, result, function_call_data, text_index): if result.action == Action.RESPONSE: # 直接回复前端 text = result.response self.recode_first_last_text(text, text_index) future = self.executor.submit(self.speak_and_play, text, text_index) self.tts_queue.put(future) self.dialogue.put(Message(role="assistant", content=text)) elif result.action == Action.REQLLM: # 调用函数后再请求llm生成回复 text = result.result if text is not None and len(text) > 0: function_id = function_call_data["id"] function_name = function_call_data["name"] function_arguments = function_call_data["arguments"] self.dialogue.put(Message(role='assistant', tool_calls=[{"id": function_id, "function": {"arguments": function_arguments, "name": function_name}, "type": 'function', "index": 0}])) self.dialogue.put(Message(role="tool", tool_call_id=function_id, content=text)) self.chat_with_function_calling(text, tool_call=True) elif result.action == Action.NOTFOUND: text = result.result self.recode_first_last_text(text, text_index) future = self.executor.submit(self.speak_and_play, text, text_index) self.tts_queue.put(future) self.dialogue.put(Message(role="assistant", content=text)) else: text = result.result self.recode_first_last_text(text, text_index) future = self.executor.submit(self.speak_and_play, text, text_index) self.tts_queue.put(future) self.dialogue.put(Message(role="assistant", content=text)) def _tts_priority_thread(self): while not self.stop_event.is_set(): text = None try: future = self.tts_queue.get() if future is None: continue text = None opus_datas, text_index, tts_file = [], 0, None try: self.logger.bind(tag=TAG).debug("正在处理TTS任务...") tts_timeout = self.config.get("tts_timeout", 10) tts_file, text, text_index = future.result(timeout=tts_timeout) if text is None or len(text) <= 0: self.logger.bind(tag=TAG).error(f"TTS出错：{text_index}: tts text is empty") elif tts_file is None: self.logger.bind(tag=TAG).error(f"TTS出错： file is empty: {text_index}: {text}") else: self.logger.bind(tag=TAG).debug(f"TTS生成：文件路径: {tts_file}") if os.path.exists(tts_file): opus_datas, duration = self.tts.audio_to_opus_data(tts_file) else: self.logger.bind(tag=TAG).error(f"TTS出错：文件不存在{tts_file}") except TimeoutError: self.logger.bind(tag=TAG).error("TTS超时") except Exception as e: self.logger.bind(tag=TAG).error(f"TTS出错: {e}") if not self.client_abort: # 如果没有中途打断就发送语音 self.audio_play_queue.put((opus_datas, text, text_index)) if self.tts.delete_audio_file and tts_file is not None and os.path.exists(tts_file): os.remove(tts_file) except Exception as e: self.logger.bind(tag=TAG).error(f"TTS任务处理错误: {e}") self.clearSpeakStatus() asyncio.run_coroutine_threadsafe( self.websocket.send(json.dumps({"type": "tts", "state": "stop", "session_id": self.session_id})), self.loop ) self.logger.bind(tag=TAG).error(f"tts_priority priority_thread: {text} {e}") def _audio_play_priority_thread(self): while not self.stop_event.is_set(): text = None try: opus_datas, text, text_index = self.audio_play_queue.get() future = asyncio.run_coroutine_threadsafe(sendAudioMessage(self, opus_datas, text, text_index), self.loop) future.result() except Exception as e: self.logger.bind(tag=TAG).error(f"audio_play_priority priority_thread: {text} {e}") def speak_and_play(self, text, text_index=0): if text is None or len(text) <= 0: self.logger.bind(tag=TAG).info(f"无需tts转换，query为空，{text}") return None, text, text_index tts_file = self.tts.to_tts(text) if tts_file is None: self.logger.bind(tag=TAG).error(f"tts转换失败，{text}") return None, text, text_index self.logger.bind(tag=TAG).debug(f"TTS 文件生成完毕: {tts_file}") return tts_file, text, text_index def clearSpeakStatus(self): self.logger.bind(tag=TAG).debug(f"清除服务端讲话状态") self.asr_server_receive = True self.tts_last_text_index = -1 self.tts_first_text_index = -1 def recode_first_last_text(self, text, text_index=0): if self.tts_first_text_index == -1: self.logger.bind(tag=TAG).info(f"大模型说出第一句话: {text}") self.tts_first_text_index = text_index self.tts_last_text_index = text_index async def close(self): """资源清理方法""" # 清理其他资源 self.stop_event.set() self.executor.shutdown(wait=False) if self.websocket: await self.websocket.close() self.logger.bind(tag=TAG).info("连接资源已释放") def reset_vad_states(self): self.client_audio_buffer = bytes() self.client_have_voice = False self.client_have_voice_last_time = 0 self.client_voice_stop = False self.logger.bind(tag=TAG).debug("VAD states reset.") def chat_and_close(self, text): """Chat with the user and then close the connection""" try: # Use the existing chat method self.chat(text) # After chat is complete, close the connection self.close_after_chat = True except Exception as e: self.logger.bind(tag=TAG).error(f"Chat and close error: {str(e)}")