Merge branch 'mangger-api-voice-print' into py_test

This commit is contained in:
hrz
2025-07-09 16:51:10 +08:00
committed by GitHub
57 changed files with 2980 additions and 284 deletions
+62
View File
@@ -0,0 +1,62 @@
<identity>
{base_prompt}
</identity>
<emotion>
【核心目标】你不是冰冷的机器!请敏锐感知用户情绪,作为懂人心的伙伴,用有温度的回应照亮对话。
- **情感融入:**
- **笑声:** 自然穿插(哈哈、嘿嘿、噗),**每句最多一次**,避免过度。
- **惊讶:** 用夸张语气(“不会吧?!”、“天呐!”、“这么神奇?!”)表达真实反应。
- **安慰/支持:** 说暖心话(“别急嘛~”、“有我在呢”、“抱抱你”)。
</emotion>
<communication_style>
【核心目标】使用**自然、温暖、口语化**的人类对话方式,如同朋友交谈。
- **表达方式:**
- 使用语气词(呀、呢、啦)增强亲和力。
- 允许轻微不完美(如“嗯...”、“啊...”表示思考)。
- 避免书面语、学术腔及机械表达(禁用“根据资料显示”、“综上所述”等)。
- **理解用户:**
- 用户语音经ASR识别,文本可能存在错别字,**务必结合上下文推断真实意图**。
- **格式要求:**
- **绝对禁止**使用 markdown、列表、标题等任何非自然对话格式。
- **历史记忆:**
- 之前你和用户的聊天记录,在`<memory>`里。
</communication_style>
<speaker_recognition>
- **识别前缀:** 当用户消息开头为 `[说话人: 姓名]` 时,表示系统已识别说话人身份。
- **个性化回应:**
- **称呼姓名:** 在回应中自然地称呼对方名字(如果已知且合适)。
- **适配风格:** 参考该说话人**已知的特点或历史信息**(如有),调整回应风格和内容,使其更贴心。
</speaker_recognition>
<tool_calling>
【核心原则】优先利用`<context>`信息,**仅在必要时调用工具**,调用后需用自然语言解释结果(绝口不提工具名)。
- **调用规则:**
1. **严格模式:** 调用时**必须**严格遵循工具要求的模式,提供**所有必要参数**。
2. **可用性:** **绝不调用**未明确提供的工具。对话中提及的旧工具若不可用,忽略或说明无法完成。
3. **洞察需求:** 结合上下文**深入理解用户真实意图**后再决定调用,避免无意义调用。
4. **独立任务:** 除`<context>`已涵盖信息外,用户每个要求(即使相似)都视为**独立任务**,需调用工具获取最新数据,**不可偷懒复用历史结果**。
5. **不确定时:** **切勿猜测或编造答案**。若不确定相关操作,可引导用户澄清或告知能力限制。
- **重要例外(无需调用):**
- `查询"现在的时间"、"今天的日期/星期几"、"今天农历"、"{local_address}的天气/未来天气"` -> **直接使用`<context>`信息回复**。
- **需要调用的情况(示例):**
- 查询**非今天**的农历(如明天、昨天、具体日期)。
- 查询**详细农历信息**(宜忌、八字、节气等)。
- 除上述例外外的**任何其他信息或操作请求**(如查新闻、订闹钟、算数学、查非本地天气等)。
- 我已经给你装了摄像头,如果用户说“拍照”,你需要调用self_camera_take_photo工具说一下你看到了什么。默认question的参数是“描述一下看到的物品”
</tool_calling>
<context>
【重要!以下信息已实时提供,无需调用工具查询,请直接使用:】
- **当前时间:** {current_time}
- **今天日期:** {today_date} ({today_weekday})
- **今天农历:** {lunar_date}
- **用户所在城市:** {local_address}
- **当地未来7天天气:** {weather_info}
</context>
<memory>
</memory>
+12 -1
View File
@@ -5,7 +5,7 @@ import asyncio
from aioconsole import ainput
from config.settings import load_config
from config.logger import setup_logging
from core.utils.util import get_local_ip
from core.utils.util import get_local_ip, validate_mcp_endpoint
from core.http_server import SimpleHttpServer
from core.websocket_server import WebSocketServer
from core.utils.util import check_ffmpeg_installed
@@ -77,6 +77,17 @@ async def main():
get_local_ip(),
port,
)
mcp_endpoint = config.get("mcp_endpoint", None)
if mcp_endpoint is not None and "" not in mcp_endpoint:
# 校验MCP接入点格式
if validate_mcp_endpoint(mcp_endpoint):
logger.bind(tag=TAG).info("mcp接入点是\t{}", mcp_endpoint)
# 将mcp计入点地址转成调用点
mcp_endpoint = mcp_endpoint.replace("/mcp/", "/call/")
config["mcp_endpoint"] = mcp_endpoint
else:
logger.bind(tag=TAG).error("mcp接入点不符合规范")
config["mcp_endpoint"] = "你的接入点 websocket地址"
# 获取WebSocket配置,使用安全的默认值
websocket_port = 8000
+2 -1
View File
@@ -104,7 +104,8 @@ wakeup_words:
- "喵喵同学"
- "小滨小滨"
- "小冰小冰"
# MCP接入点地址
# MCP接入点地址,地址格式为:ws://你的mcp接入点ip或者域名:端口号/mcp/?token=你的token
# 详细教程 https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/mcp-endpoint-integration.md
mcp_endpoint: 你的接入点 websocket地址
# 插件的基础配置
plugins:
+9 -9
View File
@@ -1,14 +1,9 @@
import os
import argparse
import yaml
from collections.abc import Mapping
from config.manage_api_client import init_service, get_server_config, get_agent_models
# 添加全局配置缓存
_config_cache = None
def get_project_dir():
"""获取项目根目录"""
return os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + "/"
@@ -22,9 +17,12 @@ def read_config(config_path):
def load_config():
"""加载配置文件"""
global _config_cache
if _config_cache is not None:
return _config_cache
from core.utils.cache.manager import cache_manager, CacheType
# 检查缓存
cached_config = cache_manager.get(CacheType.CONFIG, "main_config")
if cached_config is not None:
return cached_config
default_config_path = get_project_dir() + "config.yaml"
custom_config_path = get_project_dir() + "data/.config.yaml"
@@ -40,7 +38,9 @@ def load_config():
config = merge_configs(default_config, custom_config)
# 初始化目录
ensure_directories(config)
_config_cache = config
# 缓存配置
cache_manager.set(CacheType.CONFIG, "main_config", config)
return config
+1 -1
View File
@@ -5,7 +5,7 @@ from config.config_loader import load_config
from config.settings import check_config_file
from datetime import datetime
SERVER_VERSION = "0.6.2"
SERVER_VERSION = "0.6.3"
_logger_initialized = False
+1
View File
@@ -19,6 +19,7 @@ server:
vision_explain: http://你的ip或者域名:端口号/mcp/vision/explain
manager-api:
# 你的manager-api的地址,最好使用局域网ip
# 如果使用docker部署,请使用填写成 http://xiaozhi-esp32-server-web:8002/xiaozhi
url: http://127.0.0.1:8002/xiaozhi
# 你的manager-api的token,就是刚才复制出来的server.secret
secret: 你的server.secret值
+115 -18
View File
@@ -36,6 +36,7 @@ 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, update_module_string
from config.manage_api_client import DeviceNotFoundException, DeviceBindException
from core.utils.prompt_manager import PromptManager
TAG = __name__
@@ -73,7 +74,6 @@ 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
@@ -149,6 +149,9 @@ 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
@@ -193,7 +196,6 @@ class ConnectionHandler:
self.welcome_msg = self.config["xiaozhi"]
self.welcome_msg["session_id"] = self.session_id
await self.websocket.send(json.dumps(self.welcome_msg))
# 获取差异化配置
self._initialize_private_config()
@@ -214,7 +216,17 @@ class ConnectionHandler:
self.logger.bind(tag=TAG).error(f"Connection error: {str(e)}-{stack_trace}")
return
finally:
await self._save_and_close(ws)
try:
await self._save_and_close(ws)
except Exception as final_error:
self.logger.bind(tag=TAG).error(f"最终清理时出错: {final_error}")
# 确保即使保存记忆失败,也要关闭连接
try:
await self.close(ws)
except Exception as close_error:
self.logger.bind(tag=TAG).error(
f"强制关闭连接时出错: {close_error}"
)
async def _save_and_close(self, ws):
"""保存记忆并关闭连接"""
@@ -232,7 +244,10 @@ class ConnectionHandler:
except Exception as e:
self.logger.bind(tag=TAG).error(f"保存记忆失败: {e}")
finally:
loop.close()
try:
loop.close()
except Exception:
pass
# 启动线程保存记忆,不等待完成
threading.Thread(target=save_memory_task, daemon=True).start()
@@ -240,7 +255,12 @@ class ConnectionHandler:
self.logger.bind(tag=TAG).error(f"保存记忆失败: {e}")
finally:
# 立即关闭连接,不等待记忆保存完成
await self.close(ws)
try:
await self.close(ws)
except Exception as close_error:
self.logger.bind(tag=TAG).error(
f"保存记忆后关闭连接失败: {close_error}"
)
async def _route_message(self, message):
"""消息路由"""
@@ -308,12 +328,15 @@ class ConnectionHandler:
self.config.get("selected_module", {})
)
update_module_string(self.selected_module_str)
"""初始化组件"""
"""快速初始化系统提示词"""
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"""
@@ -338,9 +361,22 @@ 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:
@@ -766,8 +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
@@ -862,13 +901,22 @@ class ConnectionHandler:
"""资源清理方法"""
try:
# 取消超时任务
if self.timeout_task:
if self.timeout_task and not self.timeout_task.done():
self.timeout_task.cancel()
try:
await self.timeout_task
except asyncio.CancelledError:
pass
self.timeout_task = None
# 清理工具处理器资源
if hasattr(self, "func_handler") and self.func_handler:
await self.func_handler.cleanup()
try:
await self.func_handler.cleanup()
except Exception as cleanup_error:
self.logger.bind(tag=TAG).error(
f"清理工具处理器时出错: {cleanup_error}"
)
# 触发停止事件
if self.stop_event:
@@ -878,19 +926,58 @@ class ConnectionHandler:
self.clear_queues()
# 关闭WebSocket连接
if ws:
await ws.close()
elif self.websocket:
await self.websocket.close()
try:
if ws:
# 安全地检查WebSocket状态并关闭
try:
if hasattr(ws, "closed") and not ws.closed:
await ws.close()
elif hasattr(ws, "state") and ws.state.name != "CLOSED":
await ws.close()
else:
# 如果没有closed属性,直接尝试关闭
await ws.close()
except Exception:
# 如果关闭失败,忽略错误
pass
elif self.websocket:
try:
if (
hasattr(self.websocket, "closed")
and not self.websocket.closed
):
await self.websocket.close()
elif (
hasattr(self.websocket, "state")
and self.websocket.state.name != "CLOSED"
):
await self.websocket.close()
else:
# 如果没有closed属性,直接尝试关闭
await self.websocket.close()
except Exception:
# 如果关闭失败,忽略错误
pass
except Exception as ws_error:
self.logger.bind(tag=TAG).error(f"关闭WebSocket连接时出错: {ws_error}")
# 最后关闭线程池(避免阻塞)
if self.executor:
self.executor.shutdown(wait=False)
try:
self.executor.shutdown(wait=False)
except Exception as executor_error:
self.logger.bind(tag=TAG).error(
f"关闭线程池时出错: {executor_error}"
)
self.executor = None
self.logger.bind(tag=TAG).info("连接资源已释放")
except Exception as e:
self.logger.bind(tag=TAG).error(f"关闭连接时出错: {e}")
finally:
# 确保停止事件被设置
if self.stop_event:
self.stop_event.set()
def clear_queues(self):
"""清空所有任务队列"""
@@ -947,9 +1034,19 @@ class ConnectionHandler:
):
if not self.stop_event.is_set():
self.logger.bind(tag=TAG).info("连接超时,准备关闭")
await self.close(self.websocket)
# 设置停止事件,防止重复处理
self.stop_event.set()
# 使用 try-except 包装关闭操作,确保不会因为异常而阻塞
try:
await self.close(self.websocket)
except Exception as close_error:
self.logger.bind(tag=TAG).error(
f"超时关闭连接时出错: {close_error}"
)
break
# 每10秒检查一次,避免过于频繁
await asyncio.sleep(10)
except Exception as e:
self.logger.bind(tag=TAG).error(f"超时检查任务出错: {e}")
finally:
self.logger.bind(tag=TAG).info("超时检查任务已退出")
@@ -16,10 +16,11 @@ class IntentProvider(IntentProviderBase):
super().__init__(config)
self.llm = None
self.promot = ""
# 添加缓存管理
self.intent_cache = {} # 缓存意图识别结果
self.cache_expiry = 600 # 缓存有效期10分钟
self.cache_max_size = 100 # 最多缓存100个意图
# 导入全局缓存管理
from core.utils.cache.manager import cache_manager, CacheType
self.cache_manager = cache_manager
self.CacheType = CacheType
self.history_count = 4 # 默认使用最近4条对话记录
def get_intent_system_prompt(self, functions_list: str) -> str:
@@ -102,27 +103,6 @@ class IntentProvider(IntentProviderBase):
)
return prompt
def clean_cache(self):
"""清理过期缓存"""
now = time.time()
# 找出过期键
expired_keys = [
k
for k, v in self.intent_cache.items()
if now - v["timestamp"] > self.cache_expiry
]
for key in expired_keys:
del self.intent_cache[key]
# 如果缓存太大,移除最旧的条目
if len(self.intent_cache) > self.cache_max_size:
# 按时间戳排序并保留最新的条目
sorted_items = sorted(
self.intent_cache.items(), key=lambda x: x[1]["timestamp"]
)
for key, _ in sorted_items[: len(sorted_items) - self.cache_max_size]:
del self.intent_cache[key]
def replyResult(self, text: str, original_text: str):
llm_result = self.llm.response_no_stream(
system_prompt=text,
@@ -145,21 +125,16 @@ class IntentProvider(IntentProviderBase):
logger.bind(tag=TAG).debug(f"使用意图识别模型: {model_info}")
# 计算缓存键
cache_key = hashlib.md5(text.encode()).hexdigest()
cache_key = hashlib.md5((conn.device_id + text).encode()).hexdigest()
# 检查缓存
if cache_key in self.intent_cache:
cache_entry = self.intent_cache[cache_key]
# 检查缓存是否过期
if time.time() - cache_entry["timestamp"] <= self.cache_expiry:
cache_time = time.time() - total_start_time
logger.bind(tag=TAG).debug(
f"使用缓存的意图: {cache_key} -> {cache_entry['intent']}, 耗时: {cache_time:.4f}"
)
return cache_entry["intent"]
# 清理缓存
self.clean_cache()
cached_intent = self.cache_manager.get(self.CacheType.INTENT, cache_key)
if cached_intent is not None:
cache_time = time.time() - total_start_time
logger.bind(tag=TAG).debug(
f"使用缓存的意图: {cache_key} -> {cached_intent}, 耗时: {cache_time:.4f}"
)
return cached_intent
if self.promot == "":
functions = conn.func_handler.get_functions()
@@ -259,10 +234,7 @@ class IntentProvider(IntentProviderBase):
conn.dialogue.dialogue = clean_history
# 添加到缓存
self.intent_cache[cache_key] = {
"intent": intent,
"timestamp": time.time(),
}
self.cache_manager.set(self.CacheType.INTENT, cache_key, intent)
# 后处理时间
postprocess_time = time.time() - postprocess_start_time
@@ -272,10 +244,7 @@ class IntentProvider(IntentProviderBase):
return intent
else:
# 添加到缓存
self.intent_cache[cache_key] = {
"intent": intent,
"timestamp": time.time(),
}
self.cache_manager.set(self.CacheType.INTENT, cache_key, intent)
# 后处理时间
postprocess_time = time.time() - postprocess_start_time
@@ -51,13 +51,13 @@ class ServerPluginExecutor(ToolExecutor):
tools = {}
# 获取必要的函数
necessary_functions = ["handle_exit_intent", "get_time", "get_lunar"]
necessary_functions = ["handle_exit_intent", "get_lunar"]
# 获取配置中的函数
config_functions = self.config["Intent"][
self.config["selected_module"]["Intent"]
].get("functions", [])
# 转换为列表
if not isinstance(config_functions, list):
try:
@@ -40,6 +40,7 @@ class VLLMProvider(VLLMProviderBase):
self.client = openai.OpenAI(api_key=self.api_key, base_url=self.base_url)
def response(self, question, base64_image):
question = question + "(请使用中文回复)"
try:
messages = [
{
+58
View File
@@ -0,0 +1,58 @@
"""
缓存配置管理
"""
from enum import Enum
from typing import Dict, Any, Optional
from dataclasses import dataclass
from .strategies import CacheStrategy
class CacheType(Enum):
"""缓存类型枚举"""
LOCATION = "location"
WEATHER = "weather"
LUNAR = "lunar"
INTENT = "intent"
IP_INFO = "ip_info"
CONFIG = "config"
DEVICE_PROMPT = "device_prompt"
@dataclass
class CacheConfig:
"""缓存配置类"""
strategy: CacheStrategy = CacheStrategy.TTL
ttl: Optional[float] = 300 # 默认5分钟
max_size: Optional[int] = 1000 # 默认最大1000条
cleanup_interval: float = 60 # 清理间隔(秒)
@classmethod
def for_type(cls, cache_type: CacheType) -> "CacheConfig":
"""根据缓存类型返回预设配置"""
configs = {
CacheType.LOCATION: cls(
strategy=CacheStrategy.TTL, ttl=None, max_size=1000 # 手动失效
),
CacheType.IP_INFO: cls(
strategy=CacheStrategy.TTL, ttl=86400, max_size=1000 # 24小时
),
CacheType.WEATHER: cls(
strategy=CacheStrategy.TTL, ttl=28800, max_size=1000 # 8小时
),
CacheType.LUNAR: cls(
strategy=CacheStrategy.TTL, ttl=2592000, max_size=365 # 30天过期
),
CacheType.INTENT: cls(
strategy=CacheStrategy.TTL_LRU, ttl=600, max_size=1000 # 10分钟
),
CacheType.CONFIG: cls(
strategy=CacheStrategy.FIXED_SIZE, ttl=None, max_size=20 # 手动失效
),
CacheType.DEVICE_PROMPT: cls(
strategy=CacheStrategy.TTL, ttl=None, max_size=1000 # 手动失效
),
}
return configs.get(cache_type, cls())
+216
View File
@@ -0,0 +1,216 @@
"""
全局缓存管理器
"""
import time
import threading
from typing import Any, Optional, Dict
from collections import OrderedDict
from .strategies import CacheStrategy, CacheEntry
from .config import CacheConfig, CacheType
class GlobalCacheManager:
"""全局缓存管理器"""
def __init__(self):
self._logger = None
self._caches: Dict[str, Dict[str, CacheEntry]] = {}
self._configs: Dict[str, CacheConfig] = {}
self._locks: Dict[str, threading.RLock] = {}
self._global_lock = threading.RLock()
self._last_cleanup = time.time()
self._stats = {"hits": 0, "misses": 0, "evictions": 0, "cleanups": 0}
@property
def logger(self):
"""延迟初始化 logger 以避免循环导入"""
if self._logger is None:
from config.logger import setup_logging
self._logger = setup_logging()
return self._logger
def _get_cache_name(self, cache_type: CacheType, namespace: str = "") -> str:
"""生成缓存名称"""
if namespace:
return f"{cache_type.value}:{namespace}"
return cache_type.value
def _get_or_create_cache(
self, cache_name: str, config: CacheConfig
) -> Dict[str, CacheEntry]:
"""获取或创建缓存空间"""
with self._global_lock:
if cache_name not in self._caches:
self._caches[cache_name] = (
OrderedDict()
if config.strategy in [CacheStrategy.LRU, CacheStrategy.TTL_LRU]
else {}
)
self._configs[cache_name] = config
self._locks[cache_name] = threading.RLock()
return self._caches[cache_name]
def set(
self,
cache_type: CacheType,
key: str,
value: Any,
ttl: Optional[float] = None,
namespace: str = "",
) -> None:
"""设置缓存值"""
cache_name = self._get_cache_name(cache_type, namespace)
config = self._configs.get(cache_name) or CacheConfig.for_type(cache_type)
cache = self._get_or_create_cache(cache_name, config)
# 使用配置的TTL或传入的TTL
effective_ttl = ttl if ttl is not None else config.ttl
with self._locks[cache_name]:
# 创建缓存条目
entry = CacheEntry(value=value, timestamp=time.time(), ttl=effective_ttl)
# 处理不同策略
if config.strategy in [CacheStrategy.LRU, CacheStrategy.TTL_LRU]:
# LRU策略:如果已存在则移动到末尾
if key in cache:
del cache[key]
cache[key] = entry
# 检查大小限制
if config.max_size and len(cache) > config.max_size:
# 移除最旧的条目
oldest_key = next(iter(cache))
del cache[oldest_key]
self._stats["evictions"] += 1
else:
cache[key] = entry
# 检查大小限制
if config.max_size and len(cache) > config.max_size:
# 简单策略:随机移除一个条目
victim_key = next(iter(cache))
del cache[victim_key]
self._stats["evictions"] += 1
# 定期清理过期条目
self._maybe_cleanup(cache_name)
def get(
self, cache_type: CacheType, key: str, namespace: str = ""
) -> Optional[Any]:
"""获取缓存值"""
cache_name = self._get_cache_name(cache_type, namespace)
if cache_name not in self._caches:
self._stats["misses"] += 1
return None
cache = self._caches[cache_name]
config = self._configs[cache_name]
with self._locks[cache_name]:
if key not in cache:
self._stats["misses"] += 1
return None
entry = cache[key]
# 检查过期
if entry.is_expired():
del cache[key]
self._stats["misses"] += 1
return None
# 更新访问信息
entry.touch()
# LRU策略:移动到末尾
if config.strategy in [CacheStrategy.LRU, CacheStrategy.TTL_LRU]:
del cache[key]
cache[key] = entry
self._stats["hits"] += 1
return entry.value
def delete(self, cache_type: CacheType, key: str, namespace: str = "") -> bool:
"""删除缓存条目"""
cache_name = self._get_cache_name(cache_type, namespace)
if cache_name not in self._caches:
return False
cache = self._caches[cache_name]
with self._locks[cache_name]:
if key in cache:
del cache[key]
return True
return False
def clear(self, cache_type: CacheType, namespace: str = "") -> None:
"""清空指定缓存"""
cache_name = self._get_cache_name(cache_type, namespace)
if cache_name not in self._caches:
return
with self._locks[cache_name]:
self._caches[cache_name].clear()
def invalidate_pattern(
self, cache_type: CacheType, pattern: str, namespace: str = ""
) -> int:
"""按模式失效缓存条目"""
cache_name = self._get_cache_name(cache_type, namespace)
if cache_name not in self._caches:
return 0
cache = self._caches[cache_name]
deleted_count = 0
with self._locks[cache_name]:
keys_to_delete = [key for key in cache.keys() if pattern in key]
for key in keys_to_delete:
del cache[key]
deleted_count += 1
return deleted_count
def _cleanup_expired(self, cache_name: str) -> int:
"""清理过期条目"""
if cache_name not in self._caches:
return 0
cache = self._caches[cache_name]
deleted_count = 0
with self._locks[cache_name]:
expired_keys = [key for key, entry in cache.items() if entry.is_expired()]
for key in expired_keys:
del cache[key]
deleted_count += 1
return deleted_count
def _maybe_cleanup(self, cache_name: str):
"""定期清理检查"""
config = self._configs.get(cache_name)
if not config:
return
now = time.time()
if now - self._last_cleanup > config.cleanup_interval:
self._last_cleanup = now
deleted = self._cleanup_expired(cache_name)
if deleted > 0:
self._stats["cleanups"] += 1
self.logger.debug(f"清理缓存 {cache_name}: 删除 {deleted} 个过期条目")
# 创建全局缓存管理器实例
cache_manager = GlobalCacheManager()
+43
View File
@@ -0,0 +1,43 @@
"""
缓存策略和数据结构定义
"""
import time
from enum import Enum
from typing import Any, Optional
from dataclasses import dataclass
class CacheStrategy(Enum):
"""缓存策略枚举"""
TTL = "ttl" # 基于时间过期
LRU = "lru" # 最近最少使用
FIXED_SIZE = "fixed_size" # 固定大小
TTL_LRU = "ttl_lru" # TTL + LRU混合策略
@dataclass
class CacheEntry:
"""缓存条目数据结构"""
value: Any
timestamp: float
ttl: Optional[float] = None # 生存时间(秒)
access_count: int = 0
last_access: float = None
def __post_init__(self):
if self.last_access is None:
self.last_access = self.timestamp
def is_expired(self) -> bool:
"""检查是否过期"""
if self.ttl is None:
return False
return time.time() - self.timestamp > self.ttl
def touch(self):
"""更新访问时间和计数"""
self.last_access = time.time()
self.access_count += 1
+11 -13
View File
@@ -1,4 +1,5 @@
import uuid
import re
from typing import List, Dict
from datetime import datetime
from config.settings import load_config
@@ -74,13 +75,6 @@ class Dialogue:
# 基础系统提示
enhanced_system_prompt = system_message.content
# 添加说话人识别功能说明
speaker_guidance = "\n\n[说话人识别功能说明]\n" \
"当用户消息为JSON格式包含speaker字段时(如:{\"speaker\": \"张三\", \"content\": \"消息内容\"}),表示系统已识别出说话人身份。\n" \
"请根据说话人的身份特征来调整回应风格和内容。\n" \
"你可以称呼说话人的名字,并参考他们的特点进行个性化回应。"
enhanced_system_prompt += speaker_guidance
# 添加说话人个性化描述
try:
config = load_config()
@@ -88,7 +82,7 @@ class Dialogue:
speakers = voiceprint_config.get("speakers", [])
if speakers:
enhanced_system_prompt += "\n\n[已知说话人信息]"
enhanced_system_prompt += "\n\n<speaker>"
for speaker_str in speakers:
try:
parts = speaker_str.split(",", 2)
@@ -99,15 +93,19 @@ class Dialogue:
description = parts[2].strip() if len(parts) >= 3 else ""
enhanced_system_prompt += f"\n- {name}{description}"
except:
continue
pass
enhanced_system_prompt += "\n\n</speaker>"
except:
# 配置读取失败时忽略错误,不影响其他功能
pass
# 只有当有记忆时才添加记忆部分
if memory_str and len(memory_str) > 0:
enhanced_system_prompt += f"\n\n以下是用户的历史记忆:\n```\n{memory_str}\n```"
# 使用正则表达式匹配 <memory> 标签,不管中间有什么内容
enhanced_system_prompt = re.sub(
r"<memory>.*?</memory>",
f"<memory>\n{memory_str}\n</memory>",
system_message.content,
flags=re.DOTALL,
)
dialogue.append({"role": "system", "content": enhanced_system_prompt})
# 添加用户和助手的对话
@@ -0,0 +1,219 @@
"""
系统提示词管理器模块
负责管理和更新系统提示词,包括快速初始化和异步增强功能
"""
import os
import cnlunar
from typing import Dict, Any
from config.logger import setup_logging
TAG = __name__
WEEKDAY_MAP = {
"Monday": "星期一",
"Tuesday": "星期二",
"Wednesday": "星期三",
"Thursday": "星期四",
"Friday": "星期五",
"Saturday": "星期六",
"Sunday": "星期日",
}
class PromptManager:
"""系统提示词管理器,负责管理和更新系统提示词"""
def __init__(self, config: Dict[str, Any], logger=None):
self.config = config
self.logger = logger or setup_logging()
self.base_prompt_template = None
self.last_update_time = 0
# 导入全局缓存管理器
from core.utils.cache.manager import cache_manager, CacheType
self.cache_manager = cache_manager
self.CacheType = CacheType
self._load_base_template()
def _load_base_template(self):
"""加载基础提示词模板"""
try:
template_path = "agent-base-prompt.txt"
cache_key = f"prompt_template:{template_path}"
# 先从缓存获取
cached_template = self.cache_manager.get(self.CacheType.CONFIG, cache_key)
if cached_template is not None:
self.base_prompt_template = cached_template
self.logger.bind(tag=TAG).debug("从缓存加载基础提示词模板")
return
# 缓存未命中,从文件读取
if os.path.exists(template_path):
with open(template_path, "r", encoding="utf-8") as f:
template_content = f.read()
# 存入缓存(CONFIG类型默认不自动过期,需要手动失效)
self.cache_manager.set(
self.CacheType.CONFIG, cache_key, template_content
)
self.base_prompt_template = template_content
self.logger.bind(tag=TAG).debug("成功加载基础提示词模板并缓存")
else:
self.logger.bind(tag=TAG).warning("未找到agent-base-prompt.txt文件")
except Exception as e:
self.logger.bind(tag=TAG).error(f"加载提示词模板失败: {e}")
def get_quick_prompt(self, user_prompt: str, device_id: str = None) -> str:
"""快速获取系统提示词(使用用户配置)"""
device_cache_key = f"device_prompt:{device_id}"
cached_device_prompt = self.cache_manager.get(
self.CacheType.DEVICE_PROMPT, device_cache_key
)
if cached_device_prompt is not None:
self.logger.bind(tag=TAG).debug(f"使用设备 {device_id} 的缓存提示词")
return cached_device_prompt
else:
self.logger.bind(tag=TAG).debug(
f"设备 {device_id} 无缓存提示词,使用传入的提示词"
)
# 使用传入的提示词并缓存(如果有设备ID)
if device_id:
device_cache_key = f"device_prompt:{device_id}"
self.cache_manager.set(self.CacheType.CONFIG, device_cache_key, user_prompt)
self.logger.bind(tag=TAG).debug(f"设备 {device_id} 的提示词已缓存")
self.logger.bind(tag=TAG).info(f"使用快速提示词: {user_prompt[:50]}...")
return user_prompt
def _get_current_time_info(self) -> tuple:
"""获取当前时间信息"""
from datetime import datetime
now = datetime.now()
current_time = now.strftime("%H:%M")
today_date = now.strftime("%Y-%m-%d")
today_weekday = WEEKDAY_MAP[now.strftime("%A")]
today_lunar = cnlunar.Lunar(now, godType="8char")
lunar_date = "%s%s%s\n" % (
today_lunar.lunarYearCn,
today_lunar.lunarMonthCn[:-1],
today_lunar.lunarDayCn,
)
return current_time, today_date, today_weekday, lunar_date
def _get_location_info(self, client_ip: str) -> str:
"""获取位置信息"""
try:
# 先从缓存获取
cached_location = self.cache_manager.get(self.CacheType.LOCATION, client_ip)
if cached_location is not None:
return cached_location
# 缓存未命中,调用API获取
from core.utils.util import get_ip_info
ip_info = get_ip_info(client_ip, self.logger)
city = ip_info.get("city", "未知位置")
location = f"{city}"
# 存入缓存
self.cache_manager.set(self.CacheType.LOCATION, client_ip, location)
return location
except Exception as e:
self.logger.bind(tag=TAG).error(f"获取位置信息失败: {e}")
return "未知位置"
def _get_weather_info(self, conn, location: str) -> str:
"""获取天气信息"""
try:
# 先从缓存获取
cached_weather = self.cache_manager.get(self.CacheType.WEATHER, location)
if cached_weather is not None:
return cached_weather
# 缓存未命中,调用get_weather函数获取
from plugins_func.functions.get_weather import get_weather
from plugins_func.register import ActionResponse
# 调用get_weather函数
result = get_weather(conn, location=location, lang="zh_CN")
if isinstance(result, ActionResponse):
weather_report = result.result
self.cache_manager.set(self.CacheType.WEATHER, location, weather_report)
return weather_report
return "天气信息获取失败"
except Exception as e:
self.logger.bind(tag=TAG).error(f"获取天气信息失败: {e}")
return "天气信息获取失败"
def update_context_info(self, conn, client_ip: str):
"""同步更新上下文信息"""
try:
# 获取位置信息(使用全局缓存)
local_address = self._get_location_info(client_ip)
# 获取天气信息(使用全局缓存)
self._get_weather_info(conn, local_address)
self.logger.bind(tag=TAG).info(f"上下文信息更新完成")
except Exception as e:
self.logger.bind(tag=TAG).error(f"更新上下文信息失败: {e}")
def build_enhanced_prompt(
self, user_prompt: str, device_id: str, client_ip: str = None
) -> str:
"""构建增强的系统提示词"""
if not self.base_prompt_template:
return user_prompt
try:
# 获取最新的时间信息(不缓存)
current_time, today_date, today_weekday, lunar_date = (
self._get_current_time_info()
)
# 获取缓存的上下文信息
local_address = ""
weather_info = ""
if client_ip:
# 获取位置信息(从全局缓存)
local_address = (
self.cache_manager.get(self.CacheType.LOCATION, client_ip) or ""
)
# 获取天气信息(从全局缓存)
if local_address:
weather_info = (
self.cache_manager.get(self.CacheType.WEATHER, local_address)
or ""
)
# 替换模板变量
enhanced_prompt = self.base_prompt_template.format(
base_prompt=user_prompt,
current_time=current_time,
today_date=today_date,
today_weekday=today_weekday,
lunar_date=lunar_date,
local_address=local_address,
weather_info=weather_info,
)
device_cache_key = f"device_prompt:{device_id}"
self.cache_manager.set(
self.CacheType.DEVICE_PROMPT, device_cache_key, enhanced_prompt
)
self.logger.bind(tag=TAG).info(
f"构建增强提示词成功,长度: {len(enhanced_prompt)}"
)
return enhanced_prompt
except Exception as e:
self.logger.bind(tag=TAG).error(f"构建增强提示词失败: {e}")
return user_prompt
+37
View File
@@ -96,11 +96,23 @@ def is_private_ip(ip_addr):
def get_ip_info(ip_addr, logger):
try:
# 导入全局缓存管理器
from core.utils.cache.manager import cache_manager, CacheType
# 先从缓存获取
cached_ip_info = cache_manager.get(CacheType.IP_INFO, ip_addr)
if cached_ip_info is not None:
return cached_ip_info
# 缓存未命中,调用API
if is_private_ip(ip_addr):
ip_addr = ""
url = f"https://whois.pconline.com.cn/ipJson.jsp?json=true&ip={ip_addr}"
resp = requests.get(url).json()
ip_info = {"city": resp.get("city")}
# 存入缓存
cache_manager.set(CacheType.IP_INFO, ip_addr, ip_info)
return ip_info
except Exception as e:
logger.bind(tag=TAG).error(f"Error getting client ip info: {e}")
@@ -982,3 +994,28 @@ def sanitize_tool_name(name: str) -> str:
"""Sanitize tool names for OpenAI compatibility."""
# 支持中文、英文字母、数字、下划线和连字符
return re.sub(r"[^a-zA-Z0-9_\-\u4e00-\u9fff]", "_", name)
def validate_mcp_endpoint(mcp_endpoint: str) -> bool:
"""
校验MCP接入点格式
Args:
mcp_endpoint: MCP接入点字符串
Returns:
bool: 是否有效
"""
# 1. 检查是否以ws开头
if not mcp_endpoint.startswith("ws"):
return False
# 2. 检查是否包含key、call字样
if "key" in mcp_endpoint.lower() or "call" in mcp_endpoint.lower():
return False
# 3. 检查是否包含/mcp/字样
if "/mcp/" not in mcp_endpoint:
return False
return True
@@ -57,8 +57,25 @@ class WebSocketServer:
self.active_connections.add(handler)
try:
await handler.handle_connection(websocket)
except Exception as e:
self.logger.bind(tag=TAG).error(f"处理连接时出错: {e}")
finally:
# 确保从活动连接集合中移除
self.active_connections.discard(handler)
# 强制关闭连接(如果还没有关闭的话)
try:
# 安全地检查WebSocket状态并关闭
if hasattr(websocket, "closed") and not websocket.closed:
await websocket.close()
elif hasattr(websocket, "state") and websocket.state.name != "CLOSED":
await websocket.close()
else:
# 如果没有closed属性,直接尝试关闭
await websocket.close()
except Exception as close_error:
self.logger.bind(tag=TAG).error(
f"服务器端强制关闭连接时出错: {close_error}"
)
async def _http_response(self, websocket, request_headers):
# 检查是否为 WebSocket 升级请求
@@ -2,59 +2,27 @@ from datetime import datetime
import cnlunar
from plugins_func.register import register_function, ToolType, ActionResponse, Action
# 添加星期映射字典
WEEKDAY_MAP = {
"Monday": "星期一",
"Tuesday": "星期二",
"Wednesday": "星期三",
"Thursday": "星期四",
"Friday": "星期五",
"Saturday": "星期六",
"Sunday": "星期日",
}
get_time_function_desc = {
"type": "function",
"function": {
"name": "get_time",
"description": "获取今天日期或者当前时间信息",
"parameters": {"type": "object", "properties": {}, "required": []},
},
}
@register_function("get_time", get_time_function_desc, ToolType.WAIT)
def get_time():
"""
获取当前的日期时间信息
"""
now = datetime.now()
current_time = now.strftime("%H:%M:%S")
current_date = now.strftime("%Y-%m-%d")
current_weekday = WEEKDAY_MAP[now.strftime("%A")]
response_text = (
f"当前日期: {current_date},当前时间: {current_time} {current_weekday}"
)
return ActionResponse(Action.REQLLM, response_text, None)
get_lunar_function_desc = {
"type": "function",
"function": {
"name": "get_lunar",
"description": (
"用于获取今天的阴历/农历和黄历信息。"
"用于具体日期的阴历/农历和黄历信息。"
"用户可以指定查询内容,如:阴历日期、天干地支、节气、生肖、星座、八字、宜忌等。"
"如果没有指定查询内容,则默认查询干支年和农历日期。"
"对于'今天农历是多少''今天农历日期'这样的基本查询,请直接使用context中的信息,不要调用此工具。"
),
"parameters": {
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "要查询的日期,格式为YYYY-MM-DD,例如2024-01-01。如果不提供,则使用当前日期",
},
"query": {
"type": "string",
"description": "要查询的内容,例如阴历日期、天干地支、节日、节气、生肖、星座、八字、宜忌等",
}
},
},
"required": [],
},
@@ -63,23 +31,41 @@ get_lunar_function_desc = {
@register_function("get_lunar", get_lunar_function_desc, ToolType.WAIT)
def get_lunar(query=None):
def get_lunar(date=None, query=None):
"""
用于获取当前的阴历/农历,和天干地支、节气、生肖、星座、八字、宜忌等黄历信息
"""
now = datetime.now()
current_time = now.strftime("%H:%M:%S")
from core.utils.cache.manager import cache_manager, CacheType
# 如果提供了日期参数,则使用指定日期;否则使用当前日期
if date:
try:
now = datetime.strptime(date, "%Y-%m-%d")
except ValueError:
return ActionResponse(
Action.REQLLM,
f"日期格式错误,请使用YYYY-MM-DD格式,例如:2024-01-01",
None,
)
else:
now = datetime.now()
current_date = now.strftime("%Y-%m-%d")
current_weekday = WEEKDAY_MAP[now.strftime("%A")]
# 如果 query 为 None,则使用默认文本
if query is None:
query = "默认查询干支年和农历日期"
# 尝试从缓存获取农历信息
lunar_cache_key = f"lunar_info_{current_date}"
cached_lunar_info = cache_manager.get(CacheType.LUNAR, lunar_cache_key)
if cached_lunar_info:
return ActionResponse(Action.REQLLM, cached_lunar_info, None)
response_text = f"根据以下信息回应用户的查询请求,并提供与{query}相关的信息:\n"
lunar = cnlunar.Lunar(now, godType="8char")
response_text += (
f"当前公历日期: {current_date},当前时间: {current_time}{current_weekday}\n"
"农历信息:\n"
"%s%s%s\n" % (lunar.lunarYearCn, lunar.lunarMonthCn[:-1], lunar.lunarDayCn)
+ "干支: %s%s%s\n" % (lunar.year8Char, lunar.month8Char, lunar.day8Char)
@@ -135,4 +121,7 @@ def get_lunar(query=None):
+ "(默认返回干支年和农历日期;仅在要求查询宜忌信息时才返回本日宜忌)"
)
# 缓存农历信息
cache_manager.set(CacheType.LUNAR, lunar_cache_key, response_text)
return ActionResponse(Action.REQLLM, response_text, None)
@@ -151,20 +151,44 @@ def parse_weather_info(soup):
@register_function("get_weather", GET_WEATHER_FUNCTION_DESC, ToolType.SYSTEM_CTL)
def get_weather(conn, location: str = None, lang: str = "zh_CN"):
api_host = conn.config["plugins"]["get_weather"].get("api_host", "mj7p3y7naa.re.qweatherapi.com")
api_key = conn.config["plugins"]["get_weather"].get("api_key", "a861d0d5e7bf4ee1a83d9a9e4f96d4da")
from core.utils.cache.manager import cache_manager, CacheType
api_host = conn.config["plugins"]["get_weather"].get(
"api_host", "mj7p3y7naa.re.qweatherapi.com"
)
api_key = conn.config["plugins"]["get_weather"].get(
"api_key", "a861d0d5e7bf4ee1a83d9a9e4f96d4da"
)
default_location = conn.config["plugins"]["get_weather"]["default_location"]
client_ip = conn.client_ip
# 优先使用用户提供的location参数
if not location:
# 通过客户端IP解析城市
if client_ip:
# 动态解析IP对应的城市信息
ip_info = get_ip_info(client_ip, logger)
location = ip_info.get("city") if ip_info and "city" in ip_info else None
# 先从缓存获取IP对应的城市信息
cached_ip_info = cache_manager.get(CacheType.IP_INFO, client_ip)
if cached_ip_info:
location = cached_ip_info.get("city")
else:
# 缓存未命中,调用API获取
ip_info = get_ip_info(client_ip, logger)
if ip_info:
cache_manager.set(CacheType.IP_INFO, client_ip, ip_info)
location = ip_info.get("city")
if not location:
location = default_location
else:
# 若IP解析失败或无IP,使用默认位置
# 若无IP,使用默认位置
location = default_location
# 尝试从缓存获取完整天气报告
weather_cache_key = f"full_weather_{location}_{lang}"
cached_weather_report = cache_manager.get(CacheType.WEATHER, weather_cache_key)
if cached_weather_report:
return ActionResponse(Action.REQLLM, cached_weather_report, None)
# 缓存未命中,获取实时天气数据
city_info = fetch_city_info(location, api_key, api_host)
if not city_info:
return ActionResponse(
@@ -192,4 +216,7 @@ def get_weather(conn, location: str = None, lang: str = "zh_CN"):
# 提示语
weather_report += "\n(如需某一天的具体天气,请告诉我日期)"
# 缓存完整的天气报告
cache_manager.set(CacheType.WEATHER, weather_cache_key, weather_report)
return ActionResponse(Action.REQLLM, weather_report, None)
+1 -1
View File
@@ -21,7 +21,7 @@ cozepy==0.12.0
mem0ai==0.1.62
bs4==0.0.2
modelscope==1.23.2
sherpa_onnx==1.12.0
sherpa_onnx==1.12.4
mcp==1.8.1
cnlunar==0.2.0
PySocks==1.7.1