508 lines
23 KiB
Python
508 lines
23 KiB
Python
from .observation import Observation, ChattingObservation
|
||
import asyncio
|
||
from src.plugins.moods.moods import MoodManager
|
||
from src.plugins.models.utils_model import LLMRequest
|
||
from src.config.config import global_config
|
||
import time
|
||
from typing import Optional, List, Dict, Callable, TYPE_CHECKING
|
||
import traceback
|
||
from src.plugins.chat.utils import parse_text_timestamps
|
||
import enum
|
||
from src.common.logger import get_module_logger, LogConfig, SUB_HEARTFLOW_STYLE_CONFIG # noqa: E402
|
||
from src.individuality.individuality import Individuality
|
||
import random
|
||
from src.plugins.person_info.relationship_manager import relationship_manager
|
||
from ..plugins.utils.prompt_builder import Prompt, global_prompt_manager
|
||
from src.plugins.chat.message import MessageRecv
|
||
from src.plugins.chat.chat_stream import chat_manager
|
||
import math
|
||
from src.plugins.heartFC_chat.heartFC_chat import HeartFChatting
|
||
|
||
# Type hinting for circular dependency
|
||
if TYPE_CHECKING:
|
||
from .heartflow import Heartflow # Import Heartflow for type hinting
|
||
from .sub_heartflow import ChatState # Keep ChatState here too?
|
||
from src.plugins.heartFC_chat.heartFC_chat import HeartFChatting # <-- Add for type hint
|
||
|
||
# 定义常量 (从 interest.py 移动过来)
|
||
MAX_INTEREST = 15.0
|
||
|
||
subheartflow_config = LogConfig(
|
||
# 使用海马体专用样式
|
||
console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
|
||
file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
|
||
)
|
||
logger = get_module_logger("subheartflow", config=subheartflow_config)
|
||
|
||
interest_log_config = LogConfig(
|
||
console_format=SUB_HEARTFLOW_STYLE_CONFIG["console_format"],
|
||
file_format=SUB_HEARTFLOW_STYLE_CONFIG["file_format"],
|
||
)
|
||
interest_logger = get_module_logger("InterestChatting", config=interest_log_config)
|
||
|
||
|
||
def init_prompt():
|
||
prompt = ""
|
||
# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
|
||
prompt += "{extra_info}\n"
|
||
# prompt += "{prompt_schedule}\n"
|
||
# prompt += "{relation_prompt_all}\n"
|
||
prompt += "{prompt_personality}\n"
|
||
prompt += "刚刚你的想法是：\n我是{bot_name}，我想，{current_thinking_info}\n"
|
||
prompt += "-----------------------------------\n"
|
||
prompt += "现在是{time_now}，你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：\n{chat_observe_info}\n"
|
||
prompt += "\n你现在{mood_info}\n"
|
||
# prompt += "你注意到{sender_name}刚刚说：{message_txt}\n"
|
||
prompt += "现在请你根据刚刚的想法继续思考，思考时可以想想如何对群聊内容进行回复，要不要对群里的话题进行回复，关注新话题，可以适当转换话题，大家正在说的话才是聊天的主题。\n"
|
||
prompt += "回复的要求是：平淡一些，简短一些，说中文，如果你要回复，最好只回复一个人的一个话题\n"
|
||
prompt += "请注意不要输出多余内容(包括前后缀，冒号和引号，括号， 表情，等)，不要带有括号和动作描写。不要回复自己的发言，尽量不要说你说过的话。"
|
||
prompt += "现在请你{hf_do_next}，不要分点输出,生成内心想法，文字不要浮夸"
|
||
|
||
Prompt(prompt, "sub_heartflow_prompt_before")
|
||
|
||
|
||
class ChatState(enum.Enum):
|
||
ABSENT = "不参与"
|
||
CHAT = "闲聊"
|
||
FOCUSED = "专注"
|
||
|
||
|
||
class ChatStateInfo:
|
||
def __init__(self):
|
||
self.willing = 0
|
||
|
||
self.chat_status: ChatState = ChatState.ABSENT
|
||
|
||
self.mood_manager = MoodManager()
|
||
self.mood = self.mood_manager.get_prompt()
|
||
|
||
|
||
base_reply_probability = 0.05
|
||
probability_increase_rate_per_second = 0.08
|
||
max_reply_probability = 1
|
||
|
||
|
||
class InterestChatting:
|
||
def __init__(
|
||
self,
|
||
decay_rate=global_config.default_decay_rate_per_second,
|
||
max_interest=MAX_INTEREST,
|
||
trigger_threshold=global_config.reply_trigger_threshold,
|
||
base_reply_probability=base_reply_probability,
|
||
increase_rate=probability_increase_rate_per_second,
|
||
decay_factor=global_config.probability_decay_factor_per_second,
|
||
max_probability=max_reply_probability,
|
||
state_change_callback: Optional[Callable[[ChatState], None]] = None
|
||
):
|
||
self.interest_level: float = 0.0
|
||
self.last_update_time: float = time.time()
|
||
self.decay_rate_per_second: float = decay_rate
|
||
self.max_interest: float = max_interest
|
||
self.last_interaction_time: float = self.last_update_time
|
||
|
||
self.trigger_threshold: float = trigger_threshold
|
||
self.base_reply_probability: float = base_reply_probability
|
||
self.probability_increase_rate: float = increase_rate
|
||
self.probability_decay_factor: float = decay_factor
|
||
self.max_reply_probability: float = max_probability
|
||
self.current_reply_probability: float = 0.0
|
||
self.is_above_threshold: bool = False
|
||
self.state_change_callback = state_change_callback
|
||
|
||
self.interest_dict: Dict[str, tuple[MessageRecv, float, bool]] = {}
|
||
|
||
def add_interest_dict(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
|
||
self.interest_dict[message.message_info.message_id] = (message, interest_value, is_mentioned)
|
||
self.last_interaction_time = time.time()
|
||
|
||
def _calculate_decay(self, current_time: float):
|
||
time_delta = current_time - self.last_update_time
|
||
if time_delta > 0:
|
||
old_interest = self.interest_level
|
||
if self.interest_level < 1e-9:
|
||
self.interest_level = 0.0
|
||
else:
|
||
if self.decay_rate_per_second <= 0:
|
||
interest_logger.warning(
|
||
f"InterestChatting encountered non-positive decay rate: {self.decay_rate_per_second}. Setting interest to 0."
|
||
)
|
||
self.interest_level = 0.0
|
||
elif self.interest_level < 0:
|
||
interest_logger.warning(
|
||
f"InterestChatting encountered negative interest level: {self.interest_level}. Setting interest to 0."
|
||
)
|
||
self.interest_level = 0.0
|
||
else:
|
||
try:
|
||
decay_factor = math.pow(self.decay_rate_per_second, time_delta)
|
||
self.interest_level *= decay_factor
|
||
except ValueError as e:
|
||
interest_logger.error(
|
||
f"Math error during decay calculation: {e}. Rate: {self.decay_rate_per_second}, Delta: {time_delta}, Level: {self.interest_level}. Setting interest to 0."
|
||
)
|
||
self.interest_level = 0.0
|
||
|
||
if old_interest != self.interest_level:
|
||
self.last_update_time = current_time
|
||
|
||
def _update_reply_probability(self, current_time: float):
|
||
time_delta = current_time - self.last_update_time
|
||
if time_delta <= 0:
|
||
return
|
||
|
||
currently_above = self.interest_level >= self.trigger_threshold
|
||
previous_is_above = self.is_above_threshold
|
||
|
||
if currently_above:
|
||
if not self.is_above_threshold:
|
||
self.current_reply_probability = self.base_reply_probability
|
||
interest_logger.debug(
|
||
f"兴趣跨过阈值 ({self.trigger_threshold}). 概率重置为基础值: {self.base_reply_probability:.4f}"
|
||
)
|
||
else:
|
||
increase_amount = self.probability_increase_rate * time_delta
|
||
self.current_reply_probability += increase_amount
|
||
|
||
self.current_reply_probability = min(self.current_reply_probability, self.max_reply_probability)
|
||
|
||
else:
|
||
if previous_is_above:
|
||
if self.state_change_callback:
|
||
try:
|
||
self.state_change_callback(ChatState.ABSENT)
|
||
except Exception as e:
|
||
interest_logger.error(f"Error calling state_change_callback for ABSENT: {e}")
|
||
|
||
if 0 < self.probability_decay_factor < 1:
|
||
decay_multiplier = math.pow(self.probability_decay_factor, time_delta)
|
||
self.current_reply_probability *= decay_multiplier
|
||
if self.current_reply_probability < 1e-6:
|
||
self.current_reply_probability = 0.0
|
||
elif self.probability_decay_factor <= 0:
|
||
if self.current_reply_probability > 0:
|
||
interest_logger.warning(f"无效的衰减因子 ({self.probability_decay_factor}). 设置概率为0.")
|
||
self.current_reply_probability = 0.0
|
||
|
||
self.current_reply_probability = max(self.current_reply_probability, 0.0)
|
||
|
||
self.is_above_threshold = currently_above
|
||
|
||
def increase_interest(self, current_time: float, value: float):
|
||
self._update_reply_probability(current_time)
|
||
self._calculate_decay(current_time)
|
||
self.interest_level += value
|
||
self.interest_level = min(self.interest_level, self.max_interest)
|
||
self.last_update_time = current_time
|
||
self.last_interaction_time = current_time
|
||
|
||
def decrease_interest(self, current_time: float, value: float):
|
||
self._update_reply_probability(current_time)
|
||
self.interest_level -= value
|
||
self.interest_level = max(self.interest_level, 0.0)
|
||
self.last_update_time = current_time
|
||
self.last_interaction_time = current_time
|
||
|
||
def get_interest(self) -> float:
|
||
current_time = time.time()
|
||
self._update_reply_probability(current_time)
|
||
self._calculate_decay(current_time)
|
||
self.last_update_time = current_time
|
||
return self.interest_level
|
||
|
||
def get_state(self) -> dict:
|
||
interest = self.get_interest()
|
||
return {
|
||
"interest_level": round(interest, 2),
|
||
"last_update_time": self.last_update_time,
|
||
"current_reply_probability": round(self.current_reply_probability, 4),
|
||
"is_above_threshold": self.is_above_threshold,
|
||
"last_interaction_time": self.last_interaction_time,
|
||
}
|
||
|
||
def should_evaluate_reply(self) -> bool:
|
||
current_time = time.time()
|
||
self._update_reply_probability(current_time)
|
||
|
||
if self.current_reply_probability > 0:
|
||
trigger = random.random() < self.current_reply_probability
|
||
return trigger
|
||
else:
|
||
return False
|
||
|
||
|
||
class SubHeartflow:
|
||
def __init__(self, subheartflow_id, parent_heartflow: 'Heartflow'):
|
||
"""子心流初始化函数
|
||
|
||
Args:
|
||
subheartflow_id: 子心流唯一标识符
|
||
parent_heartflow: 父级心流实例
|
||
"""
|
||
# 基础属性
|
||
self.subheartflow_id = subheartflow_id
|
||
self.parent_heartflow = parent_heartflow
|
||
self.bot_name = global_config.BOT_NICKNAME # 机器人昵称
|
||
|
||
# 思维状态相关
|
||
self.current_mind = "你什么也没想" # 当前想法
|
||
self.past_mind = [] # 历史想法记录
|
||
self.main_heartflow_info = "" # 主心流信息
|
||
|
||
# 聊天状态管理
|
||
self.chat_state: ChatStateInfo = ChatStateInfo() # 聊天状态信息
|
||
self.interest_chatting = InterestChatting(state_change_callback=self.set_chat_state) # 兴趣聊天系统
|
||
|
||
# 活动状态管理
|
||
self.last_active_time = time.time() # 最后活跃时间
|
||
self.is_active = False # 是否活跃标志
|
||
self.should_stop = False # 停止标志
|
||
self.task: Optional[asyncio.Task] = None # 后台任务
|
||
self.heart_fc_instance: Optional['HeartFChatting'] = None # <-- Add instance variable
|
||
|
||
# 观察和知识系统
|
||
self.observations: List[ChattingObservation] = [] # 观察列表
|
||
self.running_knowledges = [] # 运行中的知识
|
||
|
||
# LLM模型配置
|
||
self.llm_model = LLMRequest(
|
||
model=global_config.llm_sub_heartflow,
|
||
temperature=global_config.llm_sub_heartflow["temp"],
|
||
max_tokens=800,
|
||
request_type="sub_heart_flow",
|
||
)
|
||
|
||
async def set_chat_state(self, new_state: 'ChatState'):
|
||
"""更新sub_heartflow的聊天状态，并管理 HeartFChatting 实例"""
|
||
|
||
current_state = self.chat_state.chat_status
|
||
if current_state == new_state:
|
||
logger.trace(f"[{self.subheartflow_id}] State already {current_state.value}, no change.")
|
||
return # No change needed
|
||
|
||
log_prefix = f"[{chat_manager.get_stream_name(self.subheartflow_id) or self.subheartflow_id}]"
|
||
current_mai_state = self.parent_heartflow.current_state.mai_status
|
||
|
||
# --- Entering CHAT state ---
|
||
if new_state == ChatState.CHAT:
|
||
normal_limit = current_mai_state.get_normal_chat_max_num()
|
||
current_chat_count = self.parent_heartflow.count_subflows_by_state(ChatState.CHAT)
|
||
|
||
if current_chat_count >= normal_limit:
|
||
logger.debug(f"{log_prefix} 拒绝从 {current_state.value} 转换到 CHAT。原因：CHAT 状态已达上限 ({normal_limit})。当前数量: {current_chat_count}")
|
||
return # Block the state transition
|
||
else:
|
||
logger.debug(f"{log_prefix} 允许从 {current_state.value} 转换到 CHAT (上限: {normal_limit}, 当前: {current_chat_count})" )
|
||
# If transitioning out of FOCUSED, shut down HeartFChatting first
|
||
if current_state == ChatState.FOCUSED and self.heart_fc_instance:
|
||
logger.info(f"{log_prefix} 从 FOCUSED 转换到 CHAT，正在关闭 HeartFChatting...")
|
||
await self.heart_fc_instance.shutdown()
|
||
self.heart_fc_instance = None
|
||
|
||
# --- Entering FOCUSED state ---
|
||
elif new_state == ChatState.FOCUSED:
|
||
focused_limit = current_mai_state.get_focused_chat_max_num()
|
||
current_focused_count = self.parent_heartflow.count_subflows_by_state(ChatState.FOCUSED)
|
||
|
||
if current_focused_count >= focused_limit:
|
||
logger.debug(f"{log_prefix} 拒绝从 {current_state.value} 转换到 FOCUSED。原因：FOCUSED 状态已达上限 ({focused_limit})。当前数量: {current_focused_count}")
|
||
return # Block the state transition
|
||
else:
|
||
logger.debug(f"{log_prefix} 允许从 {current_state.value} 转换到 FOCUSED (上限: {focused_limit}, 当前: {current_focused_count})" )
|
||
if not self.heart_fc_instance:
|
||
logger.info(f"{log_prefix} 状态转为 FOCUSED，创建并初始化 HeartFChatting 实例...")
|
||
try:
|
||
self.heart_fc_instance = HeartFChatting(
|
||
chat_id=self.subheartflow_id,
|
||
gpt_instance=self.parent_heartflow.gpt_instance,
|
||
tool_user_instance=self.parent_heartflow.tool_user_instance,
|
||
emoji_manager_instance=self.parent_heartflow.emoji_manager_instance,
|
||
)
|
||
# Initialize and potentially start the loop via add_time
|
||
if await self.heart_fc_instance._initialize():
|
||
# Give it an initial time boost to start the loop
|
||
await self.heart_fc_instance.add_time()
|
||
logger.info(f"{log_prefix} HeartFChatting 实例已创建并启动。")
|
||
else:
|
||
logger.error(f"{log_prefix} HeartFChatting 实例初始化失败，状态回滚到 {current_state.value}")
|
||
self.heart_fc_instance = None
|
||
return # Prevent state change if HeartFChatting fails to init
|
||
except Exception as e:
|
||
logger.error(f"{log_prefix} 创建 HeartFChatting 实例时出错: {e}")
|
||
logger.error(traceback.format_exc())
|
||
self.heart_fc_instance = None
|
||
return # Prevent state change on error
|
||
|
||
else:
|
||
logger.warning(f"{log_prefix} 尝试进入 FOCUSED 状态，但 HeartFChatting 实例已存在。")
|
||
|
||
# --- Entering ABSENT state (or any state other than FOCUSED) ---
|
||
elif current_state == ChatState.FOCUSED and self.heart_fc_instance:
|
||
logger.info(f"{log_prefix} 从 FOCUSED 转换到 {new_state.value}，正在关闭 HeartFChatting...")
|
||
await self.heart_fc_instance.shutdown()
|
||
self.heart_fc_instance = None
|
||
|
||
|
||
# --- Update state and timestamp if transition is allowed --- # 更新状态必须放在所有检查和操作之后
|
||
self.chat_state.chat_status = new_state
|
||
self.last_active_time = time.time()
|
||
logger.info(f"{log_prefix} 聊天状态从 {current_state.value} 变更为 {new_state.value}")
|
||
|
||
|
||
async def subheartflow_start_working(self):
|
||
while True:
|
||
if self.should_stop:
|
||
logger.info(f"子心流 {self.subheartflow_id} 被标记为停止，正在退出后台任务...")
|
||
break
|
||
|
||
# await asyncio.sleep(global_config.sub_heart_flow_update_interval)
|
||
await asyncio.sleep(10)
|
||
|
||
async def ensure_observed(self):
|
||
observation = self._get_primary_observation()
|
||
if observation:
|
||
try:
|
||
await observation.observe()
|
||
logger.trace(f"[{self.subheartflow_id}] Observation updated before thinking.")
|
||
except Exception as e:
|
||
logger.error(f"[{self.subheartflow_id}] Error during pre-thinking observation: {e}")
|
||
logger.error(traceback.format_exc())
|
||
|
||
async def do_thinking_before_reply(
|
||
self,
|
||
extra_info: str,
|
||
obs_id: list[str] = None,
|
||
):
|
||
self.last_active_time = time.time()
|
||
|
||
current_thinking_info = self.current_mind
|
||
mood_info = self.chat_state.mood
|
||
observation = self._get_primary_observation()
|
||
|
||
chat_observe_info = ""
|
||
if obs_id:
|
||
try:
|
||
chat_observe_info = observation.get_observe_info(obs_id)
|
||
logger.debug(f"[{self.subheartflow_id}] Using specific observation IDs: {obs_id}")
|
||
except Exception as e:
|
||
logger.error(
|
||
f"[{self.subheartflow_id}] Error getting observe info with IDs {obs_id}: {e}. Falling back."
|
||
)
|
||
chat_observe_info = observation.get_observe_info()
|
||
else:
|
||
chat_observe_info = observation.get_observe_info()
|
||
# logger.debug(f"[{self.subheartflow_id}] Using default observation info.")
|
||
|
||
extra_info_prompt = ""
|
||
if extra_info:
|
||
for tool_name, tool_data in extra_info.items():
|
||
extra_info_prompt += f"{tool_name} 相关信息:\n"
|
||
for item in tool_data:
|
||
extra_info_prompt += f"- {item['name']}: {item['content']}\n"
|
||
else:
|
||
extra_info_prompt = "无工具信息。\n"
|
||
|
||
individuality = Individuality.get_instance()
|
||
prompt_personality = f"你的名字是{self.bot_name}，你"
|
||
prompt_personality += individuality.personality.personality_core
|
||
|
||
if individuality.personality.personality_sides:
|
||
random_side = random.choice(individuality.personality.personality_sides)
|
||
prompt_personality += f"，{random_side}"
|
||
|
||
if individuality.identity.identity_detail:
|
||
random_detail = random.choice(individuality.identity.identity_detail)
|
||
prompt_personality += f"，{random_detail}"
|
||
|
||
time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
|
||
|
||
local_random = random.Random()
|
||
current_minute = int(time.strftime("%M"))
|
||
local_random.seed(current_minute)
|
||
|
||
hf_options = [
|
||
("继续生成你在这个聊天中的想法，在原来想法的基础上继续思考", 0.7),
|
||
("生成你在这个聊天中的想法，在原来的想法上尝试新的话题", 0.1),
|
||
("生成你在这个聊天中的想法，不要太深入", 0.1),
|
||
("继续生成你在这个聊天中的想法，进行深入思考", 0.1),
|
||
]
|
||
|
||
hf_do_next = local_random.choices(
|
||
[option[0] for option in hf_options], weights=[option[1] for option in hf_options], k=1
|
||
)[0]
|
||
|
||
prompt = (await global_prompt_manager.get_prompt_async("sub_heartflow_prompt_before")).format(
|
||
extra_info=extra_info_prompt,
|
||
prompt_personality=prompt_personality,
|
||
bot_name=self.bot_name,
|
||
current_thinking_info=current_thinking_info,
|
||
time_now=time_now,
|
||
chat_observe_info=chat_observe_info,
|
||
mood_info=mood_info,
|
||
hf_do_next=hf_do_next,
|
||
)
|
||
|
||
prompt = await relationship_manager.convert_all_person_sign_to_person_name(prompt)
|
||
prompt = parse_text_timestamps(prompt, mode="lite")
|
||
|
||
logger.debug(f"[{self.subheartflow_id}] 心流思考prompt:\n{prompt}\n")
|
||
|
||
try:
|
||
response, reasoning_content = await self.llm_model.generate_response_async(prompt)
|
||
|
||
logger.debug(f"[{self.subheartflow_id}] 心流思考结果:\n{response}\n")
|
||
|
||
if not response:
|
||
response = "(不知道该想些什么...)"
|
||
logger.warning(f"[{self.subheartflow_id}] LLM 返回空结果，思考失败。")
|
||
except Exception as e:
|
||
logger.error(f"[{self.subheartflow_id}] 内心独白获取失败: {e}")
|
||
response = "(思考时发生错误...)"
|
||
|
||
self.update_current_mind(response)
|
||
|
||
return self.current_mind, self.past_mind
|
||
|
||
def update_current_mind(self, response):
|
||
self.past_mind.append(self.current_mind)
|
||
self.current_mind = response
|
||
|
||
def add_observation(self, observation: Observation):
|
||
for existing_obs in self.observations:
|
||
if existing_obs.observe_id == observation.observe_id:
|
||
return
|
||
self.observations.append(observation)
|
||
|
||
def remove_observation(self, observation: Observation):
|
||
if observation in self.observations:
|
||
self.observations.remove(observation)
|
||
|
||
def get_all_observations(self) -> list[Observation]:
|
||
return self.observations
|
||
|
||
def clear_observations(self):
|
||
self.observations.clear()
|
||
|
||
def _get_primary_observation(self) -> Optional[ChattingObservation]:
|
||
if self.observations and isinstance(self.observations[0], ChattingObservation):
|
||
return self.observations[0]
|
||
logger.warning(f"SubHeartflow {self.subheartflow_id} 没有找到有效的 ChattingObservation")
|
||
return None
|
||
|
||
def get_interest_state(self) -> dict:
|
||
return self.interest_chatting.get_state()
|
||
|
||
def get_interest_level(self) -> float:
|
||
return self.interest_chatting.get_interest()
|
||
|
||
def should_evaluate_reply(self) -> bool:
|
||
return self.interest_chatting.should_evaluate_reply()
|
||
|
||
def add_interest_dict_entry(self, message: MessageRecv, interest_value: float, is_mentioned: bool):
|
||
self.interest_chatting.add_interest_dict(message, interest_value, is_mentioned)
|
||
|
||
def get_interest_dict(self) -> Dict[str, tuple[MessageRecv, float, bool]]:
|
||
return self.interest_chatting.interest_dict
|
||
|
||
|
||
init_prompt()
|