Merge branch 'main' into py_fix_log

This commit is contained in:
欣南科技
2025-07-11 17:29:37 +08:00
committed by GitHub
55 changed files with 3476 additions and 205 deletions
+46 -8
View File
@@ -24,6 +24,7 @@ from core.utils.modules_initialize import (
initialize_asr,
)
from core.handle.reportHandle import report
from core.utils.modules_initialize import initialize_voiceprint
from core.providers.tts.default import DefaultTTS
from concurrent.futures import ThreadPoolExecutor
from core.utils.dialogue import Message, Dialogue
@@ -37,6 +38,7 @@ from config.config_loader import get_private_config_from_api
from core.providers.tts.dto.dto import ContentType, TTSMessageDTO, SentenceType
from config.logger import setup_logging, build_module_string, create_connection_logger
from config.manage_api_client import DeviceNotFoundException, DeviceBindException
from core.utils.prompt_manager import PromptManager
TAG = __name__
@@ -74,7 +76,6 @@ class ConnectionHandler:
self.headers = None
self.device_id = None
self.client_ip = None
self.client_ip_info = {}
self.prompt = None
self.welcome_msg = None
self.max_output_size = 0
@@ -152,6 +153,9 @@ class ConnectionHandler:
# {"mcp":true} 表示启用MCP功能
self.features = None
# 初始化提示词管理器
self.prompt_manager = PromptManager(config, self.logger)
async def handle_connection(self, ws):
try:
# 获取并验证headers
@@ -327,15 +331,16 @@ class ConnectionHandler:
self.selected_module_str = build_module_string(
self.config.get("selected_module", {})
)
# 创建日志器
self.logger = create_connection_logger(self.selected_module_str)
"""初始化组件"""
if self.config.get("prompt") is not None:
self.prompt = self.config["prompt"]
self.change_system_prompt(self.prompt)
user_prompt = self.config["prompt"]
# 使用快速提示词进行初始化
prompt = self.prompt_manager.get_quick_prompt(user_prompt)
self.change_system_prompt(prompt)
self.logger.bind(tag=TAG).info(
f"初始化组件: prompt成功 {self.prompt[:50]}..."
f"快速初始化组件: prompt成功 {prompt[:50]}..."
)
"""初始化本地组件"""
@@ -360,9 +365,22 @@ class ConnectionHandler:
self._initialize_intent()
"""初始化上报线程"""
self._init_report_threads()
"""更新系统提示词"""
self._init_prompt_enhancement()
except Exception as e:
self.logger.bind(tag=TAG).error(f"实例化组件失败: {e}")
def _init_prompt_enhancement(self):
# 更新上下文信息
self.prompt_manager.update_context_info(self, self.client_ip)
enhanced_prompt = self.prompt_manager.build_enhanced_prompt(
self.config["prompt"], self.device_id, self.client_ip
)
if enhanced_prompt:
self.change_system_prompt(enhanced_prompt)
self.logger.bind(tag=TAG).info("系统提示词已增强更新")
def _init_report_threads(self):
"""初始化ASR和TTS上报线程"""
if not self.read_config_from_api or self.need_bind:
@@ -398,6 +416,16 @@ class ConnectionHandler:
# 因为远程ASR,涉及到websocket连接和接收线程,需要每个连接一个实例
asr = initialize_asr(self.config)
# 动态初始化声纹识别功能
try:
success = initialize_voiceprint(asr, self.config)
if success:
self.logger.bind(tag=TAG).info("声纹识别功能已在连接时动态启用")
else:
self.logger.bind(tag=TAG).info("声纹识别功能未启用或配置不完整")
except Exception as e:
self.logger.bind(tag=TAG).error(f"动态初始化声纹识别时发生错误: {str(e)}")
return asr
def _initialize_private_config(self):
@@ -482,6 +510,9 @@ class ConnectionHandler:
] = plugin_from_server.keys()
if private_config.get("prompt", None) is not None:
self.config["prompt"] = private_config["prompt"]
# 获取声纹信息
if private_config.get("voiceprint", None) is not None:
self.config["voiceprint"] = private_config["voiceprint"]
if private_config.get("summaryMemory", None) is not None:
self.config["summaryMemory"] = private_config["summaryMemory"]
if private_config.get("device_max_output_size", None) is not None:
@@ -650,13 +681,17 @@ class ConnectionHandler:
# 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),
self.dialogue.get_llm_dialogue_with_memory(
memory_str, self.config.get("voiceprint", {})
),
functions=functions,
)
else:
llm_responses = self.llm.response(
self.session_id,
self.dialogue.get_llm_dialogue_with_memory(memory_str),
self.dialogue.get_llm_dialogue_with_memory(
memory_str, self.config.get("voiceprint", {})
),
)
except Exception as e:
self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}")
@@ -767,8 +802,11 @@ class ConnectionHandler:
)
)
self.llm_finish_task = True
# 使用lambda延迟计算,只有在DEBUG级别时才执行get_llm_dialogue()
self.logger.bind(tag=TAG).debug(
json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False)
lambda: json.dumps(
self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False
)
)
return True