294 lines
12 KiB
Python
294 lines
12 KiB
Python
import re
|
||
import time
|
||
from random import random
|
||
import json
|
||
|
||
from ..memory_system.Hippocampus import HippocampusManager
|
||
from ..moods.moods import MoodManager # 导入情绪管理器
|
||
from ..config.config import global_config
|
||
from .emoji_manager import emoji_manager # 导入表情包管理器
|
||
from .llm_generator import ResponseGenerator
|
||
from .message import MessageSending, MessageRecv, MessageThinking, MessageSet
|
||
|
||
from .chat_stream import chat_manager
|
||
|
||
from .message_sender import message_manager # 导入新的消息管理器
|
||
from .relationship_manager import relationship_manager
|
||
from .storage import MessageStorage
|
||
from .utils import is_mentioned_bot_in_message, get_recent_group_detailed_plain_text
|
||
from .utils_image import image_path_to_base64
|
||
from ..willing.willing_manager import willing_manager # 导入意愿管理器
|
||
from ..message import UserInfo, GroupInfo, Seg
|
||
|
||
from src.think_flow_demo.heartflow import subheartflow_manager
|
||
from src.think_flow_demo.outer_world import outer_world
|
||
from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
|
||
|
||
# 定义日志配置
|
||
chat_config = LogConfig(
|
||
# 使用消息发送专用样式
|
||
console_format=CHAT_STYLE_CONFIG["console_format"],
|
||
file_format=CHAT_STYLE_CONFIG["file_format"],
|
||
)
|
||
|
||
# 配置主程序日志格式
|
||
logger = get_module_logger("chat_bot", config=chat_config)
|
||
|
||
|
||
class ChatBot:
|
||
def __init__(self):
|
||
self.storage = MessageStorage()
|
||
self.gpt = ResponseGenerator()
|
||
self.bot = None # bot 实例引用
|
||
self._started = False
|
||
self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例
|
||
self.mood_manager.start_mood_update() # 启动情绪更新
|
||
|
||
async def _ensure_started(self):
|
||
"""确保所有任务已启动"""
|
||
if not self._started:
|
||
self._started = True
|
||
|
||
async def message_process(self, message_data: str) -> 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
|
||
"""
|
||
# message_json = json.loads(message_data)
|
||
# 哦我嘞个json
|
||
|
||
# 进入maimbot
|
||
message = MessageRecv(message_data)
|
||
groupinfo = message.message_info.group_info
|
||
userinfo = message.message_info.user_info
|
||
messageinfo = message.message_info
|
||
|
||
# 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, # 我嘞个gourp_info
|
||
)
|
||
message.update_chat_stream(chat)
|
||
|
||
# 创建 心流 观察
|
||
if global_config.enable_think_flow:
|
||
await outer_world.check_and_add_new_observe()
|
||
subheartflow_manager.create_subheartflow(chat.stream_id)
|
||
|
||
await relationship_manager.update_relationship(
|
||
chat_stream=chat,
|
||
)
|
||
await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=0)
|
||
|
||
await message.process()
|
||
|
||
# 过滤词
|
||
for word in global_config.ban_words:
|
||
if word in message.processed_plain_text:
|
||
logger.info(
|
||
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]"
|
||
f"{userinfo.user_nickname}:{message.processed_plain_text}"
|
||
)
|
||
logger.info(f"[过滤词识别]消息中含有{word}，filtered")
|
||
return
|
||
|
||
# 正则表达式过滤
|
||
for pattern in global_config.ban_msgs_regex:
|
||
if re.search(pattern, message.raw_message):
|
||
logger.info(
|
||
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]"
|
||
f"{userinfo.user_nickname}:{message.raw_message}"
|
||
)
|
||
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))
|
||
|
||
# 根据话题计算激活度
|
||
topic = ""
|
||
await self.storage.store_message(message, chat, topic[0] if topic else None)
|
||
|
||
interested_rate = 0
|
||
interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
|
||
message.processed_plain_text, fast_retrieval=True
|
||
)
|
||
is_mentioned = is_mentioned_bot_in_message(message)
|
||
|
||
if global_config.enable_think_flow:
|
||
current_willing_old = willing_manager.get_willing(chat_stream=chat)
|
||
current_willing_new = (subheartflow_manager.get_subheartflow(chat.stream_id).current_state.willing - 5) / 4
|
||
print(f"旧回复意愿：{current_willing_old}，新回复意愿：{current_willing_new}")
|
||
current_willing = (current_willing_old + current_willing_new) / 2
|
||
else:
|
||
current_willing = willing_manager.get_willing(chat_stream=chat)
|
||
|
||
willing_manager.set_willing(chat.stream_id, current_willing)
|
||
|
||
reply_probability = await willing_manager.change_reply_willing_received(
|
||
chat_stream=chat,
|
||
is_mentioned_bot=is_mentioned,
|
||
config=global_config,
|
||
is_emoji=message.is_emoji,
|
||
interested_rate=interested_rate,
|
||
sender_id=str(message.message_info.user_info.user_id),
|
||
)
|
||
|
||
logger.info(
|
||
f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]"
|
||
f"{chat.user_info.user_nickname}:"
|
||
f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]"
|
||
)
|
||
|
||
response = None
|
||
# 开始组织语言
|
||
if random() < reply_probability:
|
||
bot_user_info = UserInfo(
|
||
user_id=global_config.BOT_QQ,
|
||
user_nickname=global_config.BOT_NICKNAME,
|
||
platform=messageinfo.platform,
|
||
)
|
||
# 开始思考的时间点
|
||
thinking_time_point = round(time.time(), 2)
|
||
# logger.debug(f"开始思考的时间点: {thinking_time_point}")
|
||
think_id = "mt" + str(thinking_time_point)
|
||
thinking_message = MessageThinking(
|
||
message_id=think_id,
|
||
chat_stream=chat,
|
||
bot_user_info=bot_user_info,
|
||
reply=message,
|
||
thinking_start_time=thinking_time_point,
|
||
)
|
||
|
||
message_manager.add_message(thinking_message)
|
||
|
||
willing_manager.change_reply_willing_sent(chat)
|
||
|
||
response, raw_content = await self.gpt.generate_response(message)
|
||
else:
|
||
# 决定不回复时，也更新回复意愿
|
||
willing_manager.change_reply_willing_not_sent(chat)
|
||
|
||
# print(f"response: {response}")
|
||
if response:
|
||
stream_id = message.chat_stream.stream_id
|
||
chat_talking_prompt = ""
|
||
if stream_id:
|
||
chat_talking_prompt = get_recent_group_detailed_plain_text(
|
||
stream_id, limit=global_config.MAX_CONTEXT_SIZE, combine=True
|
||
)
|
||
|
||
await subheartflow_manager.get_subheartflow(stream_id).do_after_reply(response, chat_talking_prompt)
|
||
# print(f"有response: {response}")
|
||
container = message_manager.get_container(chat.stream_id)
|
||
thinking_message = None
|
||
# 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:
|
||
# print(f"找到思考消息: {msg}")
|
||
thinking_message = msg
|
||
container.messages.remove(msg)
|
||
break
|
||
|
||
# 如果找不到思考消息，直接返回
|
||
if not thinking_message:
|
||
logger.warning("未找到对应的思考消息，可能已超时被移除")
|
||
return
|
||
|
||
# 记录开始思考的时间，避免从思考到回复的时间太久
|
||
thinking_start_time = thinking_message.thinking_start_time
|
||
message_set = MessageSet(chat, think_id)
|
||
# 计算打字时间，1是为了模拟打字，2是避免多条回复乱序
|
||
# accu_typing_time = 0
|
||
|
||
mark_head = False
|
||
for msg in response:
|
||
# print(f"\033[1;32m[回复内容]\033[0m {msg}")
|
||
# 通过时间改变时间戳
|
||
# typing_time = calculate_typing_time(msg)
|
||
# logger.debug(f"typing_time: {typing_time}")
|
||
# accu_typing_time += typing_time
|
||
# timepoint = thinking_time_point + accu_typing_time
|
||
message_segment = Seg(type="text", data=msg)
|
||
# logger.debug(f"message_segment: {message_segment}")
|
||
bot_message = MessageSending(
|
||
message_id=think_id,
|
||
chat_stream=chat,
|
||
bot_user_info=bot_user_info,
|
||
sender_info=userinfo,
|
||
message_segment=message_segment,
|
||
reply=message,
|
||
is_head=not mark_head,
|
||
is_emoji=False,
|
||
thinking_start_time=thinking_start_time,
|
||
)
|
||
if not mark_head:
|
||
mark_head = True
|
||
message_set.add_message(bot_message)
|
||
if len(str(bot_message)) < 1000:
|
||
logger.debug(f"bot_message: {bot_message}")
|
||
logger.debug(f"添加消息到message_set: {bot_message}")
|
||
else:
|
||
logger.debug(f"bot_message: {str(bot_message)[:1000]}...{str(bot_message)[-10:]}")
|
||
logger.debug(f"添加消息到message_set: {str(bot_message)[:1000]}...{str(bot_message)[-10:]}")
|
||
# message_set 可以直接加入 message_manager
|
||
# print(f"\033[1;32m[回复]\033[0m 将回复载入发送容器")
|
||
|
||
logger.debug("添加message_set到message_manager")
|
||
|
||
message_manager.add_message(message_set)
|
||
|
||
bot_response_time = thinking_time_point
|
||
|
||
if random() < global_config.emoji_chance:
|
||
emoji_raw = await emoji_manager.get_emoji_for_text(response)
|
||
|
||
# 检查是否 <没有找到> emoji
|
||
if emoji_raw != None:
|
||
emoji_path, description = emoji_raw
|
||
|
||
emoji_cq = image_path_to_base64(emoji_path)
|
||
|
||
if random() < 0.5:
|
||
bot_response_time = thinking_time_point - 1
|
||
else:
|
||
bot_response_time = bot_response_time + 1
|
||
|
||
message_segment = Seg(type="emoji", data=emoji_cq)
|
||
bot_message = MessageSending(
|
||
message_id=think_id,
|
||
chat_stream=chat,
|
||
bot_user_info=bot_user_info,
|
||
sender_info=userinfo,
|
||
message_segment=message_segment,
|
||
reply=message,
|
||
is_head=False,
|
||
is_emoji=True,
|
||
)
|
||
message_manager.add_message(bot_message)
|
||
|
||
# 获取立场和情感标签，更新关系值
|
||
stance, emotion = await self.gpt._get_emotion_tags(raw_content, message.processed_plain_text)
|
||
logger.debug(f"为 '{response}' 立场为：{stance} 获取到的情感标签为：{emotion}")
|
||
await relationship_manager.calculate_update_relationship_value(
|
||
chat_stream=chat, label=emotion, stance=stance
|
||
)
|
||
|
||
# 使用情绪管理器更新情绪
|
||
self.mood_manager.update_mood_from_emotion(emotion, global_config.mood_intensity_factor)
|
||
|
||
# willing_manager.change_reply_willing_after_sent(
|
||
# chat_stream=chat
|
||
# )
|
||
|
||
|
||
# 创建全局ChatBot实例
|
||
chat_bot = ChatBot()
|