v0.2.5 提升了性能

修复了一个弱智bug，现在修改了数据库消息的存储结构，可能会报错，属于正常情况

src/plugins/chat/cq_code.py

@@ -42,6 +42,7 @@ class CQCode:
 
     def translate(self):
         """根据CQ码类型进行相应的翻译处理"""
+        print(f"\033[1;34m[调试信息]\033[0m 开始翻译CQ{self.params}码: {self.type}")
         if self.type == 'text':
             self.translated_plain_text = self.params.get('text', '')
         elif self.type == 'image':
@@ -318,6 +319,7 @@ class CQCode:
         # 创建Message对象
         from .message import Message
         if self.reply_message == None:
+            print(f"\033[1;31m[错误]\033[0m 回复消息为空")
             return '[回复某人消息]'
         
         if self.reply_message.sender.user_id:
@@ -333,6 +335,7 @@ class CQCode:
                 return f"[回复 {self.reply_message.sender.nickname} 的消息: {message_obj.processed_plain_text}]"
 
         else:
+            print(f"\033[1;31m[错误]\033[0m 回复消息的sender.user_id为空")
             return '[回复某人消息]'
 
     @staticmethod

src/plugins/chat/message.py

@@ -42,6 +42,7 @@ class Message:
     
     message_segments: List[Dict] = None  # 存储解析后的消息片段
     processed_plain_text: str = None  # 用于存储处理后的plain_text
+    detailed_plain_text: str = None  # 用于存储详细可读文本
     
     time: float = None
     
@@ -70,6 +71,11 @@ class Message:
                     seg.translated_plain_text
                     for seg in self.message_segments
                 )
+        #将详细翻译为详细可读文本
+        time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.time))
+        name = self.user_nickname or f"用户{self.user_id}"
+        content = self.processed_plain_text
+        self.detailed_plain_text = f"[{time_str}] {name}: {content}\n"
                 
         
     def get_groupname(self, group_id: int) -> str:
@@ -93,6 +99,7 @@ class Message:
         - cq_code_list:分割出的聊天对象，包括文本和CQ码
         - trans_list:翻译后的对象列表
         """
+        print(f"\033[1;34m[调试信息]\033[0m 正在处理消息: {message}")
         cq_code_dict_list = []
         trans_list = []
         
@@ -143,21 +150,8 @@ class Message:
         
         #翻译作为字典的CQ码  
         for _code_item in cq_code_dict_list:
-            #一个一个CQ码处理
             message_obj = cq_code_tool.cq_from_dict_to_class(_code_item,reply = self.reply_message)
-            trans_list.append(message_obj)
+            trans_list.append(message_obj)       
-            # except Exception as e:
-            #     import traceback
-            #     print(f"\033[1;31m[错误]\033[0m 处理CQ码失败: {str(e)}")
-            #     print(f"CQ码内容: {cq_code}")
-            #     print(f"当前消息属性:")
-            #     print(f"- group_id: {self.group_id}")
-            #     print(f"- user_id: {self.user_id}")
-            #     print(f"- user_nickname: {self.user_nickname}")
-            #     print(f"- group_name: {self.group_name}")
-            #     print("详细错误信息:")
-            #     print(traceback.format_exc())
-            
         return trans_list
 
 class Message_Thinking:

src/plugins/chat/prompt_builder.py

@@ -3,7 +3,7 @@ import random
 from dotenv import load_dotenv
 from ..schedule.schedule_generator import bot_schedule
 import os
-from .utils import get_embedding, combine_messages, get_recent_group_messages
+from .utils import get_embedding, combine_messages, get_recent_group_detailed_plain_text
 from ...common.database import Database
 from .config import global_config
 
@@ -64,14 +64,12 @@ class PromptBuilder:
             请你记住上面的[知识]，之后可能会用到\n----------------------------------------------------\n'''
             promt_info_prompt = '你有一些[知识]，在上面可以参考。'
         
+        print(f"\033[1;34m[调试信息]\033[0m 正在构建聊天上下文")
         
         chat_talking_prompt = ''
         if group_id:
-            # 从数据库获取最近消息
+            chat_talking_prompt = get_recent_group_detailed_plain_text(self.db, group_id, limit=global_config.MAX_CONTEXT_SIZE,combine = True)
-            message_objects = get_recent_group_messages(self.db, group_id, limit=global_config.MAX_CONTEXT_SIZE)
+            print(f"\033[1;34m[调试]\033[0m 已从数据库获取群 {group_id} 的消息记录:{chat_talking_prompt}")
-            if message_objects:
-                chat_talking_prompt = combine_messages(message_objects)
-                # print(f"\033[1;34m[调试]\033[0m 已从数据库获取群 {group_id} 的最近{len(message_objects)}条消息记录")
         
         #激活prompt构建
         activate_prompt = ''

src/plugins/chat/storage.py

@@ -25,6 +25,7 @@ class MessageStorage:
                     "user_nickname": message.user_nickname,
                     "group_name": message.group_name,
                     "topic": topic,
+                    "detailed_plain_text": message.detailed_plain_text,
                 }
             else:
                 message_data = {
@@ -38,6 +39,7 @@ class MessageStorage:
                     "user_nickname": message.user_nickname,
                     "group_name": message.group_name,
                     "topic": topic,
+                    "detailed_plain_text": message.detailed_plain_text,
                 }
                 
             self.db.db.messages.insert_one(message_data)

src/plugins/chat/utils.py

@@ -6,6 +6,7 @@ import requests
 import numpy as np
 from .config import llm_config, global_config
 import re
+from typing import Dict
 
 
 def combine_messages(messages: List[Message]) -> str:
@@ -27,6 +28,16 @@ def combine_messages(messages: List[Message]) -> str:
         
     return result
 
+def db_message_to_str (message_dict: Dict) -> str:
+    print(f"message_dict: {message_dict}")
+    time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(message_dict["time"]))
+    name = message_dict.get("user_nickname", "") or f"用户{message_dict['user_id']}"
+    content = message_dict.get("processed_plain_text", "")
+    result = f"[{time_str}] {name}: {content}\n"
+    print(f"result: {result}")
+    return result
+
+
 def is_mentioned_bot_in_message(message: Message) -> bool:
     """检查消息是否提到了机器人"""
     keywords = [global_config.BOT_NICKNAME]
@@ -117,6 +128,36 @@ def get_recent_group_messages(db, group_id: int, limit: int = 12) -> list:
     message_objects.reverse()
     return message_objects
 
+def get_recent_group_detailed_plain_text(db, group_id: int, limit: int = 12,combine = False):
+    recent_messages = list(db.db.messages.find(
+        {"group_id": group_id},
+        {
+            "time": 1,  # 返回时间字段
+            "user_id": 1,  # 返回用户ID字段
+            "user_nickname": 1,  # 返回用户昵称字段
+            "message_id": 1,  # 返回消息ID字段
+            "detailed_plain_text": 1  # 返回处理后的文本字段
+        }
+    ).sort("time", -1).limit(limit))
+
+    if not recent_messages:
+        return []
+    
+    message_detailed_plain_text = ''
+    message_detailed_plain_text_list = []
+    
+    
+    if combine:
+        for msg_db_data in recent_messages:
+            message_detailed_plain_text+=str(msg_db_data["detailed_plain_text"])
+        return message_detailed_plain_text
+    else:
+        for msg_db_data in recent_messages:
+            message_detailed_plain_text_list.append(msg_db_data["detailed_plain_text"])
+        return message_detailed_plain_text_list
+
+
+
 def split_into_sentences_w_remove_punctuation(text: str) -> List[str]:
     """将文本分割成句子，但保持书名号中的内容完整
     Args: