增加了bot等待一个人说完所有话的功能和通过at快速增加好感度的功能(sec/plugins/chat/bot.py)
给可视化推理/记忆加了sys.path.insert防止找不到src requirements加了scipy
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requirements.txt
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requirements.txt
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@@ -6,6 +6,8 @@ import time
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from datetime import datetime
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from typing import Dict, List
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from typing import Optional
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sys.path.insert(0, sys.path[0]+"/../")
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sys.path.insert(0, sys.path[0]+"/../")
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from src.common.logger import get_module_logger
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import customtkinter as ctk
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@@ -1,5 +1,6 @@
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import re
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import time
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import asyncio
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from random import random
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from nonebot.adapters.onebot.v11 import (
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Bot,
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@@ -44,7 +45,9 @@ class ChatBot:
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self._started = False
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self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例
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self.mood_manager.start_mood_update() # 启动情绪更新
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self.group_message_dict = {}
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self.emoji_chance = 0.2 # 发送表情包的基础概率
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# self.message_streams = MessageStreamContainer()
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@@ -88,6 +91,20 @@ class ChatBot:
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await message.process()
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await relationship_manager.update_relationship(
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chat_stream=chat,
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)
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await relationship_manager.update_relationship_value(
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chat_stream=chat, relationship_value=0
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)
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groupid = groupinfo.group_id if groupinfo is not None else -1
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await self.message_process_onto_group(message, chat, groupid)
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async def message_process_onto_group(self, message: MessageRecvCQ, chat, groupID: int) -> None:
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groupinfo = message.message_info.group_info
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userinfo = message.message_info.user_info
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messageinfo = message.message_info
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# 过滤词
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for word in global_config.ban_words:
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if word in message.processed_plain_text:
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@@ -120,7 +137,15 @@ class ChatBot:
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await self.storage.store_message(message, chat, topic[0] if topic else None)
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is_mentioned = is_mentioned_bot_in_message(message)
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is_mentioned = is_mentioned_bot_in_message(message) or groupID == -1
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if is_mentioned:
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relationship_value = relationship_manager.get_relationship(chat).relationship_value if relationship_manager.get_relationship(chat) else 0.0
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await relationship_manager.update_relationship(
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chat_stream=chat,
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)
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await relationship_manager.update_relationship_value(
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chat_stream=chat, relationship_value = min(max(40 - relationship_value, 2)/2, 10000)
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)
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reply_probability = await willing_manager.change_reply_willing_received(
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chat_stream=chat,
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is_mentioned_bot=is_mentioned,
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@@ -130,15 +155,27 @@ class ChatBot:
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sender_id=str(message.message_info.user_info.user_id),
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)
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current_willing = willing_manager.get_willing(chat_stream=chat)
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actual_prob = random()
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logger.info(
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f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:"
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f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]"
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)
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reply_probability = 1 if is_mentioned else reply_probability
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logger.info("!!!决定回复!!!" if actual_prob < reply_probability else "===不理===")
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response = None
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# 开始组织语言
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if random() < reply_probability:
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if groupID not in self.group_message_dict:
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self.group_message_dict[groupID] = {}
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this_msg_time = time.time()
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if userinfo.user_id not in self.group_message_dict[groupID].keys():
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self.group_message_dict[groupID][userinfo.user_id] = -1
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if (actual_prob < reply_probability) or (self.group_message_dict[groupID][userinfo.user_id] != -1):
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self.group_message_dict[groupID][userinfo.user_id] = this_msg_time
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await asyncio.sleep(30)
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if this_msg_time != self.group_message_dict[groupID][userinfo.user_id]:
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return
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bot_user_info = UserInfo(
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user_id=global_config.BOT_QQ,
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user_nickname=global_config.BOT_NICKNAME,
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@@ -168,6 +205,8 @@ class ChatBot:
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# print(f"response: {response}")
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if response:
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# print(f"有response: {response}")
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if this_msg_time == self.group_message_dict[groupID][userinfo.user_id]:
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self.group_message_dict[groupID][userinfo.user_id] = -1
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container = message_manager.get_container(chat.stream_id)
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thinking_message = None
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# 找到message,删除
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@@ -11,6 +11,12 @@ from pathlib import Path
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import matplotlib.pyplot as plt
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import networkx as nx
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from dotenv import load_dotenv
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sys.path.insert(0, sys.path[0]+"/../")
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sys.path.insert(0, sys.path[0]+"/../")
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sys.path.insert(0, sys.path[0]+"/../")
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sys.path.insert(0, sys.path[0]+"/../")
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sys.path.insert(0, sys.path[0]+"/../")
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print(sys.path)
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from src.common.logger import get_module_logger
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import jieba
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