feat: wonderful new

This commit is contained in:
SengokuCola
2025-04-17 15:29:20 +08:00
parent eeb13a8498
commit cfdaf00559
9 changed files with 1032 additions and 304 deletions

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import time
import traceback
import asyncio
from ...memory_system.Hippocampus import HippocampusManager
from ....config.config import global_config
from ...chat.message import MessageRecv
from ...storage.storage import MessageStorage
from ...chat.utils import is_mentioned_bot_in_message
from ...message import UserInfo, Seg
from src.heart_flow.heartflow import heartflow
from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
from ...chat.chat_stream import chat_manager
from ...chat.message_buffer import message_buffer
from ...utils.timer_calculater import Timer
from .interest import InterestManager
from .heartFC_chat import HeartFC_Chat # 导入 HeartFC_Chat 以调用回复生成
# 定义日志配置
processor_config = LogConfig(
console_format=CHAT_STYLE_CONFIG["console_format"],
file_format=CHAT_STYLE_CONFIG["file_format"],
)
logger = get_module_logger("heartFC_processor", config=processor_config)
# # 定义兴趣度增加触发回复的阈值 (移至 InterestManager)
# INTEREST_INCREASE_THRESHOLD = 0.5
class HeartFC_Processor:
def __init__(self, chat_instance: HeartFC_Chat):
self.storage = MessageStorage()
self.interest_manager = InterestManager() # TODO: 可能需要传递 chat_instance 给 InterestManager 或修改其方法签名
self.chat_instance = chat_instance # 持有 HeartFC_Chat 实例
async def process_message(self, message_data: str) -> None:
"""处理接收到的消息,更新状态,并将回复决策委托给 InterestManager"""
timing_results = {} # 初始化 timing_results
message = None
try:
message = MessageRecv(message_data)
groupinfo = message.message_info.group_info
userinfo = message.message_info.user_info
messageinfo = message.message_info
# 消息加入缓冲池
await message_buffer.start_caching_messages(message)
# 创建聊天流
chat = await chat_manager.get_or_create_stream(
platform=messageinfo.platform,
user_info=userinfo,
group_info=groupinfo,
)
if not chat:
logger.error(f"无法为消息创建或获取聊天流: user {userinfo.user_id}, group {groupinfo.group_id if groupinfo else 'None'}")
return
message.update_chat_stream(chat)
# 创建心流与chat的观察 (在接收消息时创建,以便后续观察和思考)
heartflow.create_subheartflow(chat.stream_id)
await message.process()
logger.trace(f"消息处理成功: {message.processed_plain_text}")
# 过滤词/正则表达式过滤
if self._check_ban_words(message.processed_plain_text, chat, userinfo) or self._check_ban_regex(
message.raw_message, chat, userinfo
):
return
logger.trace(f"过滤词/正则表达式过滤成功: {message.processed_plain_text}")
# 查询缓冲器结果
buffer_result = await message_buffer.query_buffer_result(message)
# 处理缓冲器结果 (Bombing logic)
if not buffer_result:
F_type = "seglist"
if message.message_segment.type != "seglist":
F_type = message.message_segment.type
else:
if (isinstance(message.message_segment.data, list)
and all(isinstance(x, Seg) for x in message.message_segment.data)
and len(message.message_segment.data) == 1):
F_type = message.message_segment.data[0].type
if F_type == "text":
logger.debug(f"触发缓冲,消息:{message.processed_plain_text}")
elif F_type == "image":
logger.debug("触发缓冲,表情包/图片等待中")
elif F_type == "seglist":
logger.debug("触发缓冲,消息列表等待中")
return # 被缓冲器拦截,不生成回复
# ---- 只有通过缓冲的消息才进行存储和后续处理 ----
# 存储消息 (使用可能被缓冲器更新过的 message)
try:
await self.storage.store_message(message, chat)
logger.trace(f"存储成功 (通过缓冲后): {message.processed_plain_text}")
except Exception as e:
logger.error(f"存储消息失败: {e}")
logger.error(traceback.format_exc())
# 存储失败可能仍需考虑是否继续,暂时返回
return
# 激活度计算 (使用可能被缓冲器更新过的 message.processed_plain_text)
is_mentioned, _ = is_mentioned_bot_in_message(message)
interested_rate = 0.0 # 默认值
try:
with Timer("记忆激活", timing_results):
interested_rate = await HippocampusManager.get_instance().get_activate_from_text(
message.processed_plain_text, fast_retrieval=True # 使用更新后的文本
)
logger.trace(f"记忆激活率 (通过缓冲后): {interested_rate:.2f}")
except Exception as e:
logger.error(f"计算记忆激活率失败: {e}")
logger.error(traceback.format_exc())
if is_mentioned:
interested_rate += 0.8
# 更新兴趣度
try:
self.interest_manager.increase_interest(chat.stream_id, value=interested_rate, message=message)
current_interest = self.interest_manager.get_interest(chat.stream_id) # 获取更新后的值用于日志
logger.trace(f"使用激活率 {interested_rate:.2f} 更新后 (通过缓冲后),当前兴趣度: {current_interest:.2f}")
except Exception as e:
logger.error(f"更新兴趣度失败: {e}") # 调整日志消息
logger.error(traceback.format_exc())
# ---- 兴趣度计算和更新结束 ----
# 打印消息接收和处理信息
mes_name = chat.group_info.group_name if chat.group_info else "私聊"
current_time = time.strftime("%H:%M:%S", time.localtime(message.message_info.time))
logger.info(
f"[{current_time}][{mes_name}]"
f"{chat.user_info.user_nickname}:"
f"{message.processed_plain_text}"
f"兴趣度: {current_interest:.2f}"
)
# 回复触发逻辑已移至 HeartFC_Chat 的监控任务
except Exception as e:
logger.error(f"消息处理失败 (process_message V3): {e}")
logger.error(traceback.format_exc())
if message: # 记录失败的消息内容
logger.error(f"失败消息原始内容: {message.raw_message}")
def _check_ban_words(self, text: str, chat, userinfo) -> bool:
"""检查消息中是否包含过滤词"""
for word in global_config.ban_words:
if word in text:
logger.info(
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
)
logger.info(f"[过滤词识别]消息中含有{word}filtered")
return True
return False
def _check_ban_regex(self, text: str, chat, userinfo) -> bool:
"""检查消息是否匹配过滤正则表达式"""
for pattern in global_config.ban_msgs_regex:
if pattern.search(text):
logger.info(
f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{text}"
)
logger.info(f"[正则表达式过滤]消息匹配到{pattern}filtered")
return True
return False