Merge branch 'main-fix' of https://github.com/SengokuCola/MaiMBot into prompt-update

# Conflicts:
#	src/plugins/chat/prompt_builder.py
This commit is contained in:
KawaiiYusora
2025-03-15 02:13:13 +08:00
20 changed files with 1744 additions and 219 deletions

View File

@@ -15,7 +15,7 @@ from .bot import chat_bot
from .config import global_config
from .emoji_manager import emoji_manager
from .relationship_manager import relationship_manager
from .willing_manager import willing_manager
from ..willing.willing_manager import willing_manager
from .chat_stream import chat_manager
from ..memory_system.memory import hippocampus, memory_graph
from .bot import ChatBot

View File

@@ -29,7 +29,7 @@ from .storage import MessageStorage
from .utils import calculate_typing_time, is_mentioned_bot_in_message
from .utils_image import image_path_to_base64
from .utils_user import get_user_nickname, get_user_cardname, get_groupname
from .willing_manager import willing_manager # 导入意愿管理器
from ..willing.willing_manager import willing_manager # 导入意愿管理器
from .message_base import UserInfo, GroupInfo, Seg
from ..utils.logger_config import LogClassification, LogModule
@@ -55,112 +55,18 @@ class ChatBot:
if not self._started:
self._started = True
async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None:
"""处理收到的通知"""
# 戳一戳通知
if isinstance(event, PokeNotifyEvent):
# 不处理其他人的戳戳
if not event.is_tome():
return
# 用户屏蔽,不区分私聊/群聊
if event.user_id in global_config.ban_user_id:
return
reply_poke_probability = 1.0 # 回复戳一戳的概率,如果要改可以在这里改,暂不提取到配置文件
if random() < reply_poke_probability:
raw_message = "[戳了戳]你" # 默认类型
if info := event.raw_info:
poke_type = info[2].get("txt", "戳了戳") # 戳戳类型,例如“拍一拍”、“揉一揉”、“捏一捏”
custom_poke_message = info[4].get("txt", "") # 自定义戳戳消息,若不存在会为空字符串
raw_message = f"[{poke_type}]你{custom_poke_message}"
raw_message += "(这是一个类似摸摸头的友善行为,而不是恶意行为,请不要作出攻击发言)"
await self.directly_reply(raw_message, event.user_id, event.group_id)
if isinstance(event, GroupRecallNoticeEvent) or isinstance(event, FriendRecallNoticeEvent):
user_info = UserInfo(
user_id=event.user_id,
user_nickname=get_user_nickname(event.user_id) or None,
user_cardname=get_user_cardname(event.user_id) or None,
platform="qq",
)
group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq")
chat = await chat_manager.get_or_create_stream(
platform=user_info.platform, user_info=user_info, group_info=group_info
)
await self.storage.store_recalled_message(event.message_id, time.time(), chat)
async def handle_message(self, event: MessageEvent, bot: Bot) -> None:
"""处理收到的消息"""
self.bot = bot # 更新 bot 实例
# 用户屏蔽,不区分私聊/群聊
if event.user_id in global_config.ban_user_id:
return
if (
event.reply
and hasattr(event.reply, "sender")
and hasattr(event.reply.sender, "user_id")
and event.reply.sender.user_id in global_config.ban_user_id
):
logger.debug(f"跳过处理回复来自被ban用户 {event.reply.sender.user_id} 的消息")
return
# 处理私聊消息
if isinstance(event, PrivateMessageEvent):
if not global_config.enable_friend_chat: # 私聊过滤
return
else:
try:
user_info = UserInfo(
user_id=event.user_id,
user_nickname=(await bot.get_stranger_info(user_id=event.user_id, no_cache=True))["nickname"],
user_cardname=None,
platform="qq",
)
except Exception as e:
logger.error(f"获取陌生人信息失败: {e}")
return
logger.debug(user_info)
# group_info = GroupInfo(group_id=0, group_name="私聊", platform="qq")
group_info = None
# 处理群聊消息
else:
# 白名单设定由nontbot侧完成
if event.group_id:
if event.group_id not in global_config.talk_allowed_groups:
return
user_info = UserInfo(
user_id=event.user_id,
user_nickname=event.sender.nickname,
user_cardname=event.sender.card or None,
platform="qq",
)
group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq")
# group_info = await bot.get_group_info(group_id=event.group_id)
# sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
message_cq = MessageRecvCQ(
message_id=event.message_id,
user_info=user_info,
raw_message=str(event.original_message),
group_info=group_info,
reply_message=event.reply,
platform="qq",
)
async def message_process(self, message_cq: MessageRecvCQ) -> None:
"""处理转化后的统一格式消息
1. 过滤消息
2. 记忆激活
3. 意愿激活
4. 生成回复并发送
5. 更新关系
6. 更新情绪
"""
await message_cq.initialize()
message_json = message_cq.to_dict()
# 哦我嘞个json
# 进入maimbot
message = MessageRecv(message_json)
@@ -170,16 +76,20 @@ class ChatBot:
# 消息过滤涉及到config有待更新
# 创建聊天流
chat = await chat_manager.get_or_create_stream(
platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo
platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo #我嘞个gourp_info
)
message.update_chat_stream(chat)
await relationship_manager.update_relationship(
chat_stream=chat,
)
await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=0.5)
await relationship_manager.update_relationship_value(
chat_stream=chat, relationship_value=0.5
)
await message.process()
# 过滤词
for word in global_config.ban_words:
if word in message.processed_plain_text:
@@ -198,12 +108,15 @@ class ChatBot:
logger.info(f"[正则表达式过滤]消息匹配到{pattern}filtered")
return
current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time))
# topic=await topic_identifier.identify_topic_llm(message.processed_plain_text)
current_time = time.strftime(
"%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time)
)
#根据话题计算激活度
topic = ""
interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100
interested_rate = (
await hippocampus.memory_activate_value(message.processed_plain_text) / 100
)
logger.debug(f"{message.processed_plain_text}的激活度:{interested_rate}")
# logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}")
@@ -212,7 +125,6 @@ class ChatBot:
is_mentioned = is_mentioned_bot_in_message(message)
reply_probability = await willing_manager.change_reply_willing_received(
chat_stream=chat,
topic=topic[0] if topic else None,
is_mentioned_bot=is_mentioned,
config=global_config,
is_emoji=message.is_emoji,
@@ -260,7 +172,10 @@ class ChatBot:
# 找到message,删除
# print(f"开始找思考消息")
for msg in container.messages:
if isinstance(msg, MessageThinking) and msg.message_info.message_id == think_id:
if (
isinstance(msg, MessageThinking)
and msg.message_info.message_id == think_id
):
# print(f"找到思考消息: {msg}")
thinking_message = msg
container.messages.remove(msg)
@@ -354,79 +269,168 @@ class ChatBot:
chat_stream=chat, relationship_value=valuedict[emotion[0]]
)
# 使用情绪管理器更新情绪
self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor)
self.mood_manager.update_mood_from_emotion(
emotion[0], global_config.mood_intensity_factor
)
# willing_manager.change_reply_willing_after_sent(
# chat_stream=chat
# )
async def directly_reply(self, raw_message: str, user_id: int, group_id: int):
"""
直接回复发来的消息,不经过意愿管理器
"""
async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None:
"""处理收到的通知"""
if isinstance(event, PokeNotifyEvent):
# 戳一戳 通知
# 不处理其他人的戳戳
if not event.is_tome():
return
# 构造用户信息和群组信息
user_info = UserInfo(
user_id=user_id,
user_nickname=get_user_nickname(user_id) or None,
user_cardname=get_user_cardname(user_id) or None,
platform="qq",
)
group_info = GroupInfo(group_id=group_id, group_name=None, platform="qq")
# 用户屏蔽,不区分私聊/群聊
if event.user_id in global_config.ban_user_id:
return
# 白名单模式
if event.group_id:
if event.group_id not in global_config.talk_allowed_groups:
return
raw_message = f"[戳了戳]{global_config.BOT_NICKNAME}" # 默认类型
if info := event.raw_info:
poke_type = info[2].get(
"txt", "戳了戳"
) # 戳戳类型,例如“拍一拍”、“揉一揉”、“捏一捏”
custom_poke_message = info[4].get(
"txt", ""
) # 自定义戳戳消息,若不存在会为空字符串
raw_message = (
f"[{poke_type}]{global_config.BOT_NICKNAME}{custom_poke_message}"
)
raw_message += "(这是一个类似摸摸头的友善行为,而不是恶意行为,请不要作出攻击发言)"
user_info = UserInfo(
user_id=event.user_id,
user_nickname=(
await bot.get_stranger_info(user_id=event.user_id, no_cache=True)
)["nickname"],
user_cardname=None,
platform="qq",
)
if event.group_id:
group_info = GroupInfo(
group_id=event.group_id, group_name=None, platform="qq"
)
else:
group_info = None
message_cq = MessageRecvCQ(
message_id=0,
user_info=user_info,
raw_message=str(raw_message),
group_info=group_info,
reply_message=None,
platform="qq",
)
await self.message_process(message_cq)
elif isinstance(event, GroupRecallNoticeEvent) or isinstance(
event, FriendRecallNoticeEvent
):
user_info = UserInfo(
user_id=event.user_id,
user_nickname=get_user_nickname(event.user_id) or None,
user_cardname=get_user_cardname(event.user_id) or None,
platform="qq",
)
group_info = GroupInfo(
group_id=event.group_id, group_name=None, platform="qq"
)
chat = await chat_manager.get_or_create_stream(
platform=user_info.platform, user_info=user_info, group_info=group_info
)
await self.storage.store_recalled_message(
event.message_id, time.time(), chat
)
async def handle_message(self, event: MessageEvent, bot: Bot) -> None:
"""处理收到的消息"""
self.bot = bot # 更新 bot 实例
# 用户屏蔽,不区分私聊/群聊
if event.user_id in global_config.ban_user_id:
return
if (
event.reply
and hasattr(event.reply, "sender")
and hasattr(event.reply.sender, "user_id")
and event.reply.sender.user_id in global_config.ban_user_id
):
logger.debug(
f"跳过处理回复来自被ban用户 {event.reply.sender.user_id} 的消息"
)
return
# 处理私聊消息
if isinstance(event, PrivateMessageEvent):
if not global_config.enable_friend_chat: # 私聊过滤
return
else:
try:
user_info = UserInfo(
user_id=event.user_id,
user_nickname=(
await bot.get_stranger_info(
user_id=event.user_id, no_cache=True
)
)["nickname"],
user_cardname=None,
platform="qq",
)
except Exception as e:
logger.error(f"获取陌生人信息失败: {e}")
return
logger.debug(user_info)
# group_info = GroupInfo(group_id=0, group_name="私聊", platform="qq")
group_info = None
# 处理群聊消息
else:
# 白名单设定由nontbot侧完成
if event.group_id:
if event.group_id not in global_config.talk_allowed_groups:
return
user_info = UserInfo(
user_id=event.user_id,
user_nickname=event.sender.nickname,
user_cardname=event.sender.card or None,
platform="qq",
)
group_info = GroupInfo(
group_id=event.group_id, group_name=None, platform="qq"
)
# group_info = await bot.get_group_info(group_id=event.group_id)
# sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
message_cq = MessageRecvCQ(
message_id=None,
message_id=event.message_id,
user_info=user_info,
raw_message=raw_message,
raw_message=str(event.original_message),
group_info=group_info,
reply_message=None,
reply_message=event.reply,
platform="qq",
)
await message_cq.initialize()
message_json = message_cq.to_dict()
message = MessageRecv(message_json)
groupinfo = message.message_info.group_info
userinfo = message.message_info.user_info
messageinfo = message.message_info
chat = await chat_manager.get_or_create_stream(
platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo
)
message.update_chat_stream(chat)
await message.process()
bot_user_info = UserInfo(
user_id=global_config.BOT_QQ,
user_nickname=global_config.BOT_NICKNAME,
platform=messageinfo.platform,
)
current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time))
logger.info(
f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:"
f"{message.processed_plain_text}"
)
# 使用大模型生成回复
response, raw_content = await self.gpt.generate_response(message)
if response:
for msg in response:
message_segment = Seg(type="text", data=msg)
bot_message = MessageSending(
message_id=None,
chat_stream=chat,
bot_user_info=bot_user_info,
sender_info=userinfo,
message_segment=message_segment,
reply=None,
is_head=False,
is_emoji=False,
)
message_manager.add_message(bot_message)
await self.message_process(message_cq)
# 创建全局ChatBot实例
chat_bot = ChatBot()

View File

@@ -73,6 +73,8 @@ class BotConfig:
mood_update_interval: float = 1.0 # 情绪更新间隔 单位秒
mood_decay_rate: float = 0.95 # 情绪衰减率
mood_intensity_factor: float = 0.7 # 情绪强度因子
willing_mode: str = "classical" # 意愿模式
keywords_reaction_rules = [] # 关键词回复规则
@@ -212,6 +214,10 @@ class BotConfig:
"model_r1_distill_probability", config.MODEL_R1_DISTILL_PROBABILITY
)
config.max_response_length = response_config.get("max_response_length", config.max_response_length)
def willing(parent: dict):
willing_config = parent["willing"]
config.willing_mode = willing_config.get("willing_mode", config.willing_mode)
def model(parent: dict):
# 加载模型配置
@@ -353,6 +359,7 @@ class BotConfig:
"cq_code": {"func": cq_code, "support": ">=0.0.0"},
"bot": {"func": bot, "support": ">=0.0.0"},
"response": {"func": response, "support": ">=0.0.0"},
"willing": {"func": willing, "support": ">=0.0.9", "necessary": False},
"model": {"func": model, "support": ">=0.0.0"},
"message": {"func": message, "support": ">=0.0.0"},
"memory": {"func": memory, "support": ">=0.0.0", "necessary": False},

View File

@@ -160,7 +160,7 @@ class MessageRecv(Message):
user_info = self.message_info.user_info
name = (
f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
if user_info.user_cardname != ""
if user_info.user_cardname != None
else f"{user_info.user_nickname}(ta的id:{user_info.user_id})"
)
return f"[{time_str}] {name}: {self.processed_plain_text}\n"
@@ -256,7 +256,7 @@ class MessageProcessBase(Message):
user_info = self.message_info.user_info
name = (
f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
if user_info.user_cardname != ""
if user_info.user_cardname != None
else f"{user_info.user_nickname}(ta的id:{user_info.user_id})"
)
return f"[{time_str}] {name}: {self.processed_plain_text}\n"

View File

@@ -1,7 +1,6 @@
import random
import time
from typing import Optional
from loguru import logger
from ...common.database import db
from ..memory_system.memory import hippocampus, memory_graph
@@ -11,6 +10,13 @@ from .config import global_config
from .utils import get_embedding, get_recent_group_detailed_plain_text
from .chat_stream import chat_manager
from ..utils.logger_config import LogClassification, LogModule
log_module = LogModule()
logger = log_module.setup_logger(LogClassification.PBUILDER)
logger.info("初始化Prompt系统")
class PromptBuilder:
def __init__(self):
@@ -185,18 +191,17 @@ class PromptBuilder:
`</MainRule>`"""
"""读空气prompt处理"""
# activate_prompt_check = f"以上是群里正在进行的聊天,昵称为 '{sender_name}' 的用户说的:{message_txt}。引起了你的注意,你和他{relation_prompt},你想要{relation_prompt_2},但是这不一定是合适的时机,请你决定是否要回应这条消息。"
# prompt_personality_check = ""
# extra_check_info = f"请注意把握群里的聊天内容的基础上,综合群内的氛围,例如,和{global_config.BOT_NICKNAME}相关的话题要积极回复,如果是at自己的消息一定要回复如果自己正在和别人聊天一定要回复其他话题如果合适搭话也可以回复如果认为应该回复请输出yes否则输出no请注意是决定是否需要回复而不是编写回复内容除了yes和no不要输出任何回复内容。"
# if personality_choice < probability_1: # 第一种人格
# prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[0]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
# elif personality_choice < probability_1 + probability_2: # 第二种人格
# prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[1]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
# else: # 第三种人格
# prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[2]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
#
# prompt_check_if_response = f"{prompt_info}\n{prompt_date}\n{chat_talking_prompt}\n{prompt_personality_check}"
prompt_check_if_response = ""
activate_prompt_check = f"以上是群里正在进行的聊天,昵称为 '{sender_name}' 的用户说的:{message_txt}。引起了你的注意,你和他{relation_prompt},你想要{relation_prompt_2},但是这不一定是合适的时机,请你决定是否要回应这条消息。"
prompt_personality_check = ""
extra_check_info = f"请注意把握群里的聊天内容的基础上,综合群内的氛围,例如,和{global_config.BOT_NICKNAME}相关的话题要积极回复,如果是at自己的消息一定要回复如果自己正在和别人聊天一定要回复其他话题如果合适搭话也可以回复如果认为应该回复请输出yes否则输出no请注意是决定是否需要回复而不是编写回复内容除了yes和no不要输出任何回复内容。"
if personality_choice < probability_1: # 第一种人格
prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[0]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
elif personality_choice < probability_1 + probability_2: # 第二种人格
prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[1]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
else: # 第三种人格
prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}{personality[2]}, 你正在浏览qq群{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
prompt_check_if_response = f"{prompt_info}\n{prompt_date}\n{chat_talking_prompt}\n{prompt_personality_check}"
return prompt, prompt_check_if_response
@@ -250,7 +255,7 @@ class PromptBuilder:
return prompt_for_check, memory
def _build_initiative_prompt(self, selected_node, prompt_regular, memory):
prompt_for_initiative = f"{prompt_regular}你现在想在群里发言,回忆了一下,想到一个话题,是{selected_node['concept']},关于这个话题的记忆有\n{memory}\n,请在把握群里的聊天内容的基础上,综合群内的氛围,以日常且口语化的口吻,简短且随意一点进行发言,不要说的太有条理,可以有个性。记住不要输出多余内容(包括前后缀,冒号和引号,括号,表情等)"
prompt_for_initiative = f"{prompt_regular}你现在想在群里发言,回忆了一下,想到一个话题,是{selected_node['concept']},关于这个话题的记忆有\n{memory}\n,请在把握群里的聊天内容的基础上,综合群内的氛围,以日常且口语化的口吻,简短且随意一点进行发言,不要说的太有条理,可以有个性。记住不要输出多余内容(包括前后缀,冒号和引号,括号,表情,@等)"
return prompt_for_initiative
async def get_prompt_info(self, message: str, threshold: float):

View File

@@ -1,14 +0,0 @@
#Broca's Area
# 功能:语言产生、语法处理和言语运动控制。
# 损伤后果:布洛卡失语症(表达困难,但理解保留)。
import time
class Thinking_Idea:
def __init__(self, message_id: str):
self.messages = [] # 消息列表集合
self.current_thoughts = [] # 当前思考内容列表
self.time = time.time() # 创建时间
self.id = str(int(time.time() * 1000)) # 使用时间戳生成唯一标识ID

View File

@@ -1,259 +0,0 @@
import asyncio
import random
import time
from typing import Dict
from loguru import logger
from .config import global_config
from .chat_stream import ChatStream
class WillingManager:
def __init__(self):
self.chat_reply_willing: Dict[str, float] = {} # 存储每个聊天流的回复意愿
self.chat_high_willing_mode: Dict[str, bool] = {} # 存储每个聊天流是否处于高回复意愿期
self.chat_msg_count: Dict[str, int] = {} # 存储每个聊天流接收到的消息数量
self.chat_last_mode_change: Dict[str, float] = {} # 存储每个聊天流上次模式切换的时间
self.chat_high_willing_duration: Dict[str, int] = {} # 高意愿期持续时间(秒)
self.chat_low_willing_duration: Dict[str, int] = {} # 低意愿期持续时间(秒)
self.chat_last_reply_time: Dict[str, float] = {} # 存储每个聊天流上次回复的时间
self.chat_last_sender_id: Dict[str, str] = {} # 存储每个聊天流上次回复的用户ID
self.chat_conversation_context: Dict[str, bool] = {} # 标记是否处于对话上下文中
self._decay_task = None
self._mode_switch_task = None
self._started = False
async def _decay_reply_willing(self):
"""定期衰减回复意愿"""
while True:
await asyncio.sleep(5)
for chat_id in self.chat_reply_willing:
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
if is_high_mode:
# 高回复意愿期内轻微衰减
self.chat_reply_willing[chat_id] = max(0.5, self.chat_reply_willing[chat_id] * 0.95)
else:
# 低回复意愿期内正常衰减
self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.8)
async def _mode_switch_check(self):
"""定期检查是否需要切换回复意愿模式"""
while True:
current_time = time.time()
await asyncio.sleep(10) # 每10秒检查一次
for chat_id in self.chat_high_willing_mode:
last_change_time = self.chat_last_mode_change.get(chat_id, 0)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
# 获取当前模式的持续时间
duration = 0
if is_high_mode:
duration = self.chat_high_willing_duration.get(chat_id, 180) # 默认3分钟
else:
duration = self.chat_low_willing_duration.get(chat_id, random.randint(300, 1200)) # 默认5-20分钟
# 检查是否需要切换模式
if current_time - last_change_time > duration:
self._switch_willing_mode(chat_id)
elif not is_high_mode and random.random() < 0.1:
# 低回复意愿期有10%概率随机切换到高回复期
self._switch_willing_mode(chat_id)
# 检查对话上下文状态是否需要重置
last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
if current_time - last_reply_time > 300: # 5分钟无交互重置对话上下文
self.chat_conversation_context[chat_id] = False
def _switch_willing_mode(self, chat_id: str):
"""切换聊天流的回复意愿模式"""
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
if is_high_mode:
# 从高回复期切换到低回复期
self.chat_high_willing_mode[chat_id] = False
self.chat_reply_willing[chat_id] = 0.1 # 设置为最低回复意愿
self.chat_low_willing_duration[chat_id] = random.randint(600, 1200) # 10-20分钟
logger.debug(f"聊天流 {chat_id} 切换到低回复意愿期,持续 {self.chat_low_willing_duration[chat_id]}")
else:
# 从低回复期切换到高回复期
self.chat_high_willing_mode[chat_id] = True
self.chat_reply_willing[chat_id] = 1.0 # 设置为较高回复意愿
self.chat_high_willing_duration[chat_id] = random.randint(180, 240) # 3-4分钟
logger.debug(f"聊天流 {chat_id} 切换到高回复意愿期,持续 {self.chat_high_willing_duration[chat_id]}")
self.chat_last_mode_change[chat_id] = time.time()
self.chat_msg_count[chat_id] = 0 # 重置消息计数
def get_willing(self, chat_stream: ChatStream) -> float:
"""获取指定聊天流的回复意愿"""
stream = chat_stream
if stream:
return self.chat_reply_willing.get(stream.stream_id, 0)
return 0
def set_willing(self, chat_id: str, willing: float):
"""设置指定聊天流的回复意愿"""
self.chat_reply_willing[chat_id] = willing
def _ensure_chat_initialized(self, chat_id: str):
"""确保聊天流的所有数据已初始化"""
if chat_id not in self.chat_reply_willing:
self.chat_reply_willing[chat_id] = 0.1
if chat_id not in self.chat_high_willing_mode:
self.chat_high_willing_mode[chat_id] = False
self.chat_last_mode_change[chat_id] = time.time()
self.chat_low_willing_duration[chat_id] = random.randint(300, 1200) # 5-20分钟
if chat_id not in self.chat_msg_count:
self.chat_msg_count[chat_id] = 0
if chat_id not in self.chat_conversation_context:
self.chat_conversation_context[chat_id] = False
async def change_reply_willing_received(self,
chat_stream: ChatStream,
topic: str = None,
is_mentioned_bot: bool = False,
config = None,
is_emoji: bool = False,
interested_rate: float = 0,
sender_id: str = None) -> float:
"""改变指定聊天流的回复意愿并返回回复概率"""
# 获取或创建聊天流
stream = chat_stream
chat_id = stream.stream_id
current_time = time.time()
self._ensure_chat_initialized(chat_id)
# 增加消息计数
self.chat_msg_count[chat_id] = self.chat_msg_count.get(chat_id, 0) + 1
current_willing = self.chat_reply_willing.get(chat_id, 0)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
msg_count = self.chat_msg_count.get(chat_id, 0)
in_conversation_context = self.chat_conversation_context.get(chat_id, False)
# 检查是否是对话上下文中的追问
last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
last_sender = self.chat_last_sender_id.get(chat_id, "")
is_follow_up_question = False
# 如果是同一个人在短时间内2分钟内发送消息且消息数量较少<=5条视为追问
if sender_id and sender_id == last_sender and current_time - last_reply_time < 120 and msg_count <= 5:
is_follow_up_question = True
in_conversation_context = True
self.chat_conversation_context[chat_id] = True
logger.debug(f"检测到追问 (同一用户), 提高回复意愿")
current_willing += 0.3
# 特殊情况处理
if is_mentioned_bot:
current_willing += 0.5
in_conversation_context = True
self.chat_conversation_context[chat_id] = True
logger.debug(f"被提及, 当前意愿: {current_willing}")
if is_emoji:
current_willing *= 0.1
logger.debug(f"表情包, 当前意愿: {current_willing}")
# 根据话题兴趣度适当调整
if interested_rate > 0.5:
current_willing += (interested_rate - 0.5) * 0.5
# 根据当前模式计算回复概率
base_probability = 0.0
if in_conversation_context:
# 在对话上下文中,降低基础回复概率
base_probability = 0.5 if is_high_mode else 0.25
logger.debug(f"处于对话上下文中,基础回复概率: {base_probability}")
elif is_high_mode:
# 高回复周期4-8句话有50%的概率会回复一次
base_probability = 0.50 if 4 <= msg_count <= 8 else 0.2
else:
# 低回复周期需要最少15句才有30%的概率会回一句
base_probability = 0.30 if msg_count >= 15 else 0.03 * min(msg_count, 10)
# 考虑回复意愿的影响
reply_probability = base_probability * current_willing
# 检查群组权限(如果是群聊)
if chat_stream.group_info and config:
if chat_stream.group_info.group_id in config.talk_frequency_down_groups:
reply_probability = reply_probability / global_config.down_frequency_rate
# 限制最大回复概率
reply_probability = min(reply_probability, 0.75) # 设置最大回复概率为75%
if reply_probability < 0:
reply_probability = 0
# 记录当前发送者ID以便后续追踪
if sender_id:
self.chat_last_sender_id[chat_id] = sender_id
self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
return reply_probability
def change_reply_willing_sent(self, chat_stream: ChatStream):
"""开始思考后降低聊天流的回复意愿"""
stream = chat_stream
if stream:
chat_id = stream.stream_id
self._ensure_chat_initialized(chat_id)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
current_willing = self.chat_reply_willing.get(chat_id, 0)
# 回复后减少回复意愿
self.chat_reply_willing[chat_id] = max(0, current_willing - 0.3)
# 标记为对话上下文中
self.chat_conversation_context[chat_id] = True
# 记录最后回复时间
self.chat_last_reply_time[chat_id] = time.time()
# 重置消息计数
self.chat_msg_count[chat_id] = 0
def change_reply_willing_not_sent(self, chat_stream: ChatStream):
"""决定不回复后提高聊天流的回复意愿"""
stream = chat_stream
if stream:
chat_id = stream.stream_id
self._ensure_chat_initialized(chat_id)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
current_willing = self.chat_reply_willing.get(chat_id, 0)
in_conversation_context = self.chat_conversation_context.get(chat_id, False)
# 根据当前模式调整不回复后的意愿增加
if is_high_mode:
willing_increase = 0.1
elif in_conversation_context:
# 在对话上下文中但决定不回复,小幅增加回复意愿
willing_increase = 0.15
else:
willing_increase = random.uniform(0.05, 0.1)
self.chat_reply_willing[chat_id] = min(2.0, current_willing + willing_increase)
def change_reply_willing_after_sent(self, chat_stream: ChatStream):
"""发送消息后提高聊天流的回复意愿"""
# 由于已经在sent中处理这个方法保留但不再需要额外调整
pass
async def ensure_started(self):
"""确保所有任务已启动"""
if not self._started:
if self._decay_task is None:
self._decay_task = asyncio.create_task(self._decay_reply_willing())
if self._mode_switch_task is None:
self._mode_switch_task = asyncio.create_task(self._mode_switch_check())
self._started = True
# 创建全局实例
willing_manager = WillingManager()