fix:修复hfc根本不会被触发的bug

This commit is contained in:
SengokuCola
2025-04-23 23:08:19 +08:00
parent 5782d4425b
commit 7733782929
13 changed files with 621 additions and 472 deletions

View File

@@ -6,11 +6,14 @@ from src.common.logger import get_module_logger
# Need manager types for dependency injection
from src.heart_flow.mai_state_manager import MaiStateManager, MaiStateInfo
from src.heart_flow.subheartflow_manager import SubHeartflowManager
from src.heart_flow.subheartflow_manager import SubHeartflowManager, ChatState
from src.heart_flow.interest_logger import InterestLogger
logger = get_module_logger("background_tasks")
# 新增兴趣评估间隔
INTEREST_EVAL_INTERVAL_SECONDS = 5
class BackgroundTaskManager:
"""管理 Heartflow 的后台周期性任务。"""
@@ -25,6 +28,8 @@ class BackgroundTaskManager:
cleanup_interval: int,
log_interval: int,
inactive_threshold: int,
# 新增兴趣评估间隔参数
interest_eval_interval: int = INTEREST_EVAL_INTERVAL_SECONDS,
):
self.mai_state_info = mai_state_info
self.mai_state_manager = mai_state_manager
@@ -36,46 +41,70 @@ class BackgroundTaskManager:
self.cleanup_interval = cleanup_interval
self.log_interval = log_interval
self.inactive_threshold = inactive_threshold # For cleanup task
self.interest_eval_interval = interest_eval_interval # 存储兴趣评估间隔
# Task references
self._state_update_task: Optional[asyncio.Task] = None
self._cleanup_task: Optional[asyncio.Task] = None
self._logging_task: Optional[asyncio.Task] = None
self._interest_eval_task: Optional[asyncio.Task] = None # 新增兴趣评估任务引用
self._tasks: List[Optional[asyncio.Task]] = [] # Keep track of all tasks
async def start_tasks(self):
"""启动所有后台任务"""
# 状态更新任务
if self._state_update_task is None or self._state_update_task.done():
self._state_update_task = asyncio.create_task(
self._run_state_update_cycle(self.update_interval), name="hf_state_update"
)
self._tasks.append(self._state_update_task)
logger.debug(f"聊天状态更新任务已启动 间隔:{self.update_interval}s")
else:
logger.warning("状态更新任务已在运行")
"""启动所有后台任务
功能说明:
- 启动核心后台任务: 状态更新、清理、日志记录和兴趣评估
- 每个任务启动前检查是否已在运行
- 将任务引用保存到任务列表
"""
# 任务配置列表: (任务变量名, 任务函数, 任务名称, 日志级别, 额外日志信息, 任务对象引用属性名)
task_configs = [
(self._state_update_task,
lambda: self._run_state_update_cycle(self.update_interval),
"hf_state_update",
"debug",
f"聊天状态更新任务已启动 间隔:{self.update_interval}s",
"_state_update_task"),
(self._cleanup_task,
self._run_cleanup_cycle,
"hf_cleanup",
"info",
f"清理任务已启动 间隔:{self.cleanup_interval}s 阈值:{self.inactive_threshold}s",
"_cleanup_task"),
(self._logging_task,
self._run_logging_cycle,
"hf_logging",
"info",
f"日志任务已启动 间隔:{self.log_interval}s",
"_logging_task"),
# 清理任务
if self._cleanup_task is None or self._cleanup_task.done():
self._cleanup_task = asyncio.create_task(self._run_cleanup_cycle(), name="hf_cleanup")
self._tasks.append(self._cleanup_task)
logger.info(f"清理任务已启动 间隔:{self.cleanup_interval}s 阈值:{self.inactive_threshold}s")
else:
logger.warning("清理任务已在运行")
# 新增兴趣评估任务配置
(self._interest_eval_task,
self._run_interest_eval_cycle,
"hf_interest_eval",
"debug", # 设为debug避免过多日志
f"兴趣评估任务已启动 间隔:{self.interest_eval_interval}s",
"_interest_eval_task"),
]
# 日志任务
if self._logging_task is None or self._logging_task.done():
self._logging_task = asyncio.create_task(self._run_logging_cycle(), name="hf_logging")
self._tasks.append(self._logging_task)
logger.info(f"日志任务已启动 间隔:{self.log_interval}s")
else:
logger.warning("日志任务已在运行")
# # 初始状态检查
# initial_state = self.mai_state_info.get_current_state()
# if initial_state != self.mai_state_info.mai_status.OFFLINE:
# logger.info(f"初始状态:{initial_state.value} 触发初始激活检查")
# asyncio.create_task(self.subheartflow_manager.activate_random_subflows_to_chat(initial_state))
# 统一启动所有任务
for task_var, task_func, task_name, log_level, log_msg, task_attr_name in task_configs:
# 检查任务变量是否存在且未完成
current_task_var = getattr(self, task_attr_name)
if current_task_var is None or current_task_var.done():
new_task = asyncio.create_task(task_func(), name=task_name)
setattr(self, task_attr_name, new_task) # 更新任务变量
if new_task not in self._tasks: # 避免重复添加
self._tasks.append(new_task)
# 根据配置记录不同级别的日志
getattr(logger, log_level)(log_msg)
else:
logger.warning(f"{task_name}任务已在运行")
async def stop_tasks(self):
"""停止所有后台任务。
@@ -126,15 +155,11 @@ class BackgroundTaskManager:
# 计算并执行间隔等待
elapsed = asyncio.get_event_loop().time() - start_time
sleep_time = max(0, interval - elapsed)
if sleep_time < 0.1: # 任务超时处理
logger.warning(f"任务 {task_name} 超时执行 ({elapsed:.2f}s > {interval}s)")
# if sleep_time < 0.1: # 任务超时处理, DEBUG 时可能干扰断点
# logger.warning(f"任务 {task_name} 超时执行 ({elapsed:.2f}s > {interval}s)")
await asyncio.sleep(sleep_time)
# 非离线状态时评估兴趣
if self.mai_state_info.get_current_state() != self.mai_state_info.mai_status.OFFLINE:
await self.subheartflow_manager.evaluate_interest_and_promote()
logger.debug(f"任务循环结束, 当前状态: {self.mai_state_info.get_current_state().value}")
logger.debug(f"任务循环结束: {task_name}") # 调整日志信息
async def _perform_state_update_work(self):
"""执行状态更新工作"""
@@ -184,8 +209,15 @@ class BackgroundTaskManager:
logger.debug("[Background Task Cleanup] Cleanup cycle finished. No inactive flows found.")
async def _perform_logging_work(self):
"""执行一轮兴趣日志记录。"""
await self.interest_logger.log_interest_states()
"""执行一轮状态日志记录。"""
await self.interest_logger.log_all_states()
# --- 新增兴趣评估工作函数 ---
async def _perform_interest_eval_work(self):
"""执行一轮子心流兴趣评估与提升检查。"""
# 直接调用 subheartflow_manager 的方法,并传递当前状态信息
await self.subheartflow_manager.evaluate_interest_and_promote(self.mai_state_info)
# --- 结束新增 ---
# --- Specific Task Runners --- #
async def _run_state_update_cycle(self, interval: int):
@@ -200,5 +232,14 @@ class BackgroundTaskManager:
async def _run_logging_cycle(self):
await self._run_periodic_loop(
task_name="Interest Logging", interval=self.log_interval, task_func=self._perform_logging_work
task_name="State Logging",
interval=self.log_interval,
task_func=self._perform_logging_work
)
# --- 新增兴趣评估任务运行器 ---
async def _run_interest_eval_cycle(self):
await self._run_periodic_loop(
task_name="Interest Evaluation", interval=self.interest_eval_interval, task_func=self._perform_interest_eval_work
)
# --- 结束新增 ---

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@@ -23,7 +23,7 @@ logger = get_module_logger("heartflow", config=heartflow_config)
# Task Intervals (should be in BackgroundTaskManager or config)
CLEANUP_INTERVAL_SECONDS = 1200
STATE_UPDATE_INTERVAL_SECONDS = 30
STATE_UPDATE_INTERVAL_SECONDS = 60
# Thresholds (should be in SubHeartflowManager or config)
INACTIVE_THRESHOLD_SECONDS = 1200
@@ -63,7 +63,7 @@ class Heartflow:
# 子系统初始化
self.mind: Mind = Mind(self.subheartflow_manager, self.llm_model) # 思考管理器
self.interest_logger: InterestLogger = InterestLogger(self.subheartflow_manager) # 兴趣日志记录器
self.interest_logger: InterestLogger = InterestLogger(self.subheartflow_manager, self) # 兴趣日志记录器
# 后台任务管理器 (整合所有定时任务)
self.background_task_manager: BackgroundTaskManager = BackgroundTaskManager(

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@@ -12,7 +12,8 @@ from src.plugins.chat.chat_stream import chat_manager
if TYPE_CHECKING:
from src.heart_flow.subheartflow_manager import SubHeartflowManager
from src.heart_flow.sub_heartflow import SubHeartflow # For type hint in get_interest_states
from src.heart_flow.sub_heartflow import SubHeartflow
from src.heart_flow.heartflow import Heartflow # 导入 Heartflow 类型
logger = get_module_logger("interest_logger")
@@ -22,25 +23,28 @@ HISTORY_LOG_FILENAME = "interest_history.log"
class InterestLogger:
"""负责定期记录所有子心流的兴趣状态到日志文件。"""
"""负责定期记录主心流和所有子心流的状态到日志文件。"""
def __init__(self, subheartflow_manager: "SubHeartflowManager"):
def __init__(self, subheartflow_manager: "SubHeartflowManager", heartflow: "Heartflow"):
"""
初始化 InterestLogger。
Args:
subheartflow_manager: 子心流管理器实例。
heartflow: 主心流实例,用于获取主心流状态。
"""
self.subheartflow_manager = subheartflow_manager
self.heartflow = heartflow # 存储 Heartflow 实例
self._history_log_file_path = os.path.join(LOG_DIRECTORY, HISTORY_LOG_FILENAME)
self._ensure_log_directory()
def _ensure_log_directory(self):
"""确保日志目录存在。"""
try:
os.makedirs(LOG_DIRECTORY, exist_ok=True)
logger.info(f"已确保日志目录 '{LOG_DIRECTORY}' 存在")
except OSError as e:
logger.error(f"创建日志目录 '{LOG_DIRECTORY}' 出错: {e}")
os.makedirs(LOG_DIRECTORY, exist_ok=True)
logger.info(f"已确保日志目录 '{LOG_DIRECTORY}' 存在")
async def get_all_interest_states(self) -> Dict[str, Dict]:
"""并发获取所有活跃子心流的当前兴趣状态。"""
_states = {}
# Get snapshot from the manager
async def get_all_subflow_states(self) -> Dict[str, Dict]:
"""并发获取所有活跃子心流的当前完整状态。"""
all_flows: List["SubHeartflow"] = self.subheartflow_manager.get_all_subheartflows()
tasks = []
results = {}
@@ -49,12 +53,11 @@ class InterestLogger:
logger.debug("未找到任何子心流状态")
return results
# logger.debug(f"正在获取 {len(all_flows)} 个子心流的兴趣状态...")
for subheartflow in all_flows:
if self.subheartflow_manager.get_subheartflow(subheartflow.subheartflow_id):
tasks.append(
asyncio.create_task(
subheartflow.get_interest_state(), name=f"get_state_{subheartflow.subheartflow_id}"
subheartflow.get_full_state(), name=f"get_state_{subheartflow.subheartflow_id}"
)
)
else:
@@ -64,74 +67,87 @@ class InterestLogger:
done, pending = await asyncio.wait(tasks, timeout=5.0)
if pending:
logger.warning(f"获取兴趣状态超时,有 {len(pending)} 个任务未完成")
logger.warning(f"获取子心流状态超时,有 {len(pending)} 个任务未完成")
for task in pending:
task.cancel()
for task in done:
try:
stream_id_str = task.get_name().split("get_state_")[-1]
stream_id = stream_id_str
except IndexError:
logger.error(f"无法从任务名 {task.get_name()} 中提取 stream_id")
continue
stream_id_str = task.get_name().split("get_state_")[-1]
stream_id = stream_id_str
try:
if task.cancelled():
logger.warning(f"获取子心流 {stream_id} 状态的任务已取消(超时)", exc_info=False)
elif task.exception():
exc = task.exception()
logger.warning(f"获取子心流 {stream_id} 状态出错: {exc}")
else:
result = task.result()
results[stream_id] = result
except asyncio.CancelledError:
logger.warning(f"获取子心流 {stream_id} 兴趣状态的任务已取消(超时)", exc_info=False)
except Exception as e:
logger.warning(f"获取子心流 {stream_id} 兴趣状态出错: {e}")
logger.trace(f"成功获取 {len(results)}兴趣状态")
logger.trace(f"成功获取 {len(results)}子心流的完整状态")
return results
async def log_interest_states(self):
"""获取所有子心流的兴趣状态并写入日志文件。"""
# logger.debug("开始定期记录兴趣状态...")
async def log_all_states(self):
"""获取主心流状态和所有子心流的完整状态并写入日志文件。"""
try:
current_timestamp = time.time()
all_interest_states = await self.get_all_interest_states()
if not all_interest_states:
logger.debug("没有获取到任何兴趣状态")
main_mind = self.heartflow.current_mind
# 获取 Mai 状态名称
mai_state_name = self.heartflow.current_state.get_current_state().name
all_subflow_states = await self.get_all_subflow_states()
log_entry_base = {
"timestamp": round(current_timestamp, 2),
"main_mind": main_mind,
"mai_state": mai_state_name,
"subflow_count": len(all_subflow_states),
"subflows": []
}
if not all_subflow_states:
logger.debug("没有获取到任何子心流状态,仅记录主心流状态")
with open(self._history_log_file_path, "a", encoding="utf-8") as f:
f.write(json.dumps(log_entry_base, ensure_ascii=False) + "\n")
return
count = 0
try:
with open(self._history_log_file_path, "a", encoding="utf-8") as f:
items_snapshot = list(all_interest_states.items())
for stream_id, state in items_snapshot:
group_name = stream_id
try:
chat_stream = chat_manager.get_stream(stream_id)
if chat_stream and chat_stream.group_info:
group_name = chat_stream.group_info.group_name
elif chat_stream and not chat_stream.group_info:
group_name = (
f"私聊_{chat_stream.user_info.user_nickname}"
if chat_stream.user_info
else stream_id
)
except Exception as e:
logger.trace(f"无法获取 stream_id {stream_id} 的群组名: {e}")
pass
subflow_details = []
items_snapshot = list(all_subflow_states.items())
for stream_id, state in items_snapshot:
group_name = stream_id
try:
chat_stream = chat_manager.get_stream(stream_id)
if chat_stream:
if chat_stream.group_info:
group_name = chat_stream.group_info.group_name
elif chat_stream.user_info:
group_name = f"私聊_{chat_stream.user_info.user_nickname}"
except Exception as e:
logger.trace(f"无法获取 stream_id {stream_id} 的群组名: {e}")
log_entry = {
"timestamp": round(current_timestamp, 2),
"stream_id": stream_id,
"interest_level": state.get("interest_level", 0.0),
"group_name": group_name,
"reply_probability": state.get("current_reply_probability", 0.0),
"is_above_threshold": state.get("is_above_threshold", False),
}
f.write(json.dumps(log_entry, ensure_ascii=False) + "\n")
count += 1
# logger.debug(f"成功记录 {count} 条兴趣历史到 {self._history_log_file_path}")
except IOError as e:
logger.error(f"写入兴趣历史日志到 {self._history_log_file_path} 出错: {e}")
interest_state = state.get("interest_state", {})
subflow_entry = {
"stream_id": stream_id,
"group_name": group_name,
"sub_mind": state.get("current_mind", "未知"),
"sub_chat_state": state.get("chat_state", "未知"),
"interest_level": interest_state.get("interest_level", 0.0),
"reply_probability": interest_state.get("current_reply_probability", 0.0),
"is_above_threshold": interest_state.get("is_above_threshold", False),
"last_active_time": state.get("last_active_time", 0.0),
"last_interaction_time": interest_state.get("last_interaction_time", 0.0),
}
subflow_details.append(subflow_entry)
log_entry_base["subflows"] = subflow_details
with open(self._history_log_file_path, "a", encoding="utf-8") as f:
f.write(json.dumps(log_entry_base, ensure_ascii=False) + "\n")
except IOError as e:
logger.error(f"写入状态日志到 {self._history_log_file_path} 出错: {e}")
except Exception as e:
logger.error(f"定期记录兴趣历史时发生意外错误: {e}")
logger.error(f"记录状态时发生意外错误: {e}")
logger.error(traceback.format_exc())

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@@ -23,9 +23,9 @@ class MaiState(enum.Enum):
"""
OFFLINE = "不在线"
PEEKING = "看一眼手机"
PEEKING = "看一眼"
NORMAL_CHAT = "正常聊天"
FOCUSED_CHAT = "聊天"
FOCUSED_CHAT = "聊天"
def get_normal_chat_max_num(self):
if self == MaiState.OFFLINE:
@@ -127,9 +127,9 @@ class MaiStateManager:
elif current_status == MaiState.PEEKING:
logger.info("当前[在窥屏],思考要不要继续聊下去......")
elif current_status == MaiState.NORMAL_CHAT:
logger.info("当前在[闲聊]思考要不要继续聊下去......")
logger.info("当前在[随便看]思考要不要继续聊下去......")
elif current_status == MaiState.FOCUSED_CHAT:
logger.info("当前在[激情聊天]思考要不要继续聊下去......")
logger.info("当前在[专心看]思考要不要继续聊下去......")
# 1. 麦麦每分钟都有概率离线
if time_since_last_min_check >= 60:
@@ -149,7 +149,7 @@ class MaiStateManager:
next_state_candidate = random.choices(choices_list, weights=weights, k=1)[0]
if next_state_candidate != MaiState.OFFLINE:
next_state = next_state_candidate
logger.debug(f"上线!开始 {next_state.name}")
logger.debug(f"上线!开始 {next_state.value}")
else:
# 继续离线状态
next_state = MaiState.OFFLINE
@@ -159,7 +159,7 @@ class MaiStateManager:
weights = [70, 20, 10]
choices_list = [MaiState.OFFLINE, MaiState.NORMAL_CHAT, MaiState.FOCUSED_CHAT]
next_state = random.choices(choices_list, weights=weights, k=1)[0]
logger.debug(f"手机看完了,接下来 {next_state.name}")
logger.debug(f"手机看完了,接下来 {next_state.value}")
elif current_status == MaiState.NORMAL_CHAT:
if time_in_current_status >= 300: # NORMAL_CHAT 最多持续 300 秒
@@ -167,16 +167,16 @@ class MaiStateManager:
choices_list = [MaiState.OFFLINE, MaiState.FOCUSED_CHAT]
next_state = random.choices(choices_list, weights=weights, k=1)[0]
if next_state == MaiState.FOCUSED_CHAT:
logger.debug(f"继续深入聊天, {next_state.name}")
logger.debug(f"继续深入聊天, {next_state.value}")
else:
logger.debug(f"聊完了,接下来 {next_state.name}")
logger.debug(f"聊完了,接下来 {next_state.value}")
elif current_status == MaiState.FOCUSED_CHAT:
if time_in_current_status >= 600: # FOCUSED_CHAT 最多持续 600 秒
weights = [80, 20]
choices_list = [MaiState.OFFLINE, MaiState.NORMAL_CHAT]
next_state = random.choices(choices_list, weights=weights, k=1)[0]
logger.debug(f"深入聊天结束,接下来 {next_state.name}")
logger.debug(f"深入聊天结束,接下来 {next_state.value}")
# 如果决定了下一个状态,且这个状态与当前状态不同,则返回下一个状态
if next_state is not None and next_state != current_status:

View File

@@ -18,7 +18,6 @@ from src.plugins.chat.chat_stream import chat_manager
import math
from src.plugins.heartFC_chat.heartFC_chat import HeartFChatting
from src.plugins.heartFC_chat.normal_chat import NormalChat
from src.plugins.heartFC_chat.normal_chat_generator import ResponseGenerator
from src.do_tool.tool_use import ToolUser
from src.heart_flow.mai_state_manager import MaiStateInfo
@@ -61,16 +60,15 @@ def init_prompt():
class ChatState(enum.Enum):
ABSENT = "不参与"
CHAT = "闲聊"
FOCUSED = "专注"
ABSENT = "没在看群"
CHAT = "随便水群"
FOCUSED = "激情水群"
class ChatStateInfo:
def __init__(self):
self.willing = 0
self.chat_status: ChatState = ChatState.ABSENT
self.current_state_time = 120
self.mood_manager = MoodManager()
self.mood = self.mood_manager.get_prompt()
@@ -106,110 +104,74 @@ class InterestChatting:
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.update_task: Optional[asyncio.Task] = None
self._stop_event = asyncio.Event()
self.interest_dict: Dict[str, tuple[MessageRecv, float, bool]] = {}
self.update_interval = 1.0
self.start_updates(self.update_interval) # 初始化时启动后台更新任务
self.above_threshold = False
self.start_hfc_probability = 0.0
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()
async 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
async def _update_reply_probability(self, current_time: float):
time_delta = current_time - self.last_update_time
if time_delta <= 0:
async def _calculate_decay(self):
"""计算兴趣值的衰减
参数:
current_time: 当前时间戳
处理逻辑:
1. 计算时间差
2. 处理各种异常情况(负值/零值)
3. 正常计算衰减
4. 更新最后更新时间
"""
# 处理极小兴趣值情况
if self.interest_level < 1e-9:
self.interest_level = 0.0
return
# 异常情况处理
if self.decay_rate_per_second <= 0:
interest_logger.warning(f"衰减率({self.decay_rate_per_second})无效重置兴趣值为0")
self.interest_level = 0.0
return
# 正常衰减计算
try:
decay_factor = math.pow(self.decay_rate_per_second, self.update_interval)
self.interest_level *= decay_factor
except ValueError as e:
interest_logger.error(f"衰减计算错误: {e} 参数: 衰减率={self.decay_rate_per_second} 时间差={self.update_interval} 当前兴趣={self.interest_level}")
self.interest_level = 0.0
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)
async def _update_reply_probability(self):
self.above_threshold = self.interest_level >= self.trigger_threshold
if self.above_threshold:
self.start_hfc_probability += 0.1
else:
if previous_is_above:
if self.state_change_callback:
try:
await 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
if self.start_hfc_probability != 0:
self.start_hfc_probability -= 0.1
async def increase_interest(self, current_time: float, value: float):
await self._update_reply_probability(current_time)
await 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
async def decrease_interest(self, current_time: float, value: float):
await 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
async def get_interest(self) -> float:
current_time = time.time()
await self._update_reply_probability(current_time)
await self._calculate_decay(current_time)
self.last_update_time = current_time
return self.interest_level
async def get_state(self) -> dict:
interest = await self.get_interest()
interest = self.interest_level # 直接使用属性值
return {
"interest_level": round(interest, 2),
"last_update_time": self.last_update_time,
@@ -219,8 +181,6 @@ class InterestChatting:
}
async def should_evaluate_reply(self) -> bool:
current_time = time.time()
await self._update_reply_probability(current_time)
if self.current_reply_probability > 0:
trigger = random.random() < self.current_reply_probability
@@ -228,6 +188,67 @@ class InterestChatting:
else:
return False
# --- 新增后台更新任务相关方法 ---
async def _run_update_loop(self, update_interval: float = 1.0):
"""后台循环,定期更新兴趣和回复概率。"""
while not self._stop_event.is_set():
try:
if self.interest_level != 0:
await self._calculate_decay()
await self._update_reply_probability()
# 等待下一个周期或停止事件
await asyncio.wait_for(self._stop_event.wait(), timeout=update_interval)
except asyncio.TimeoutError:
# 正常超时,继续循环
continue
except asyncio.CancelledError:
interest_logger.info("InterestChatting 更新循环被取消。")
break
except Exception as e:
interest_logger.error(f"InterestChatting 更新循环出错: {e}")
interest_logger.error(traceback.format_exc())
# 防止错误导致CPU飙升稍作等待
await asyncio.sleep(5)
interest_logger.info("InterestChatting 更新循环已停止。")
def start_updates(self, update_interval: float = 1.0):
"""启动后台更新任务"""
if self.update_task is None or self.update_task.done():
self._stop_event.clear()
self.update_task = asyncio.create_task(self._run_update_loop(update_interval))
interest_logger.debug("后台兴趣更新任务已创建并启动。")
else:
interest_logger.debug("后台兴趣更新任务已在运行中。")
async def stop_updates(self):
"""停止后台更新任务"""
if self.update_task and not self.update_task.done():
interest_logger.info("正在停止 InterestChatting 后台更新任务...")
self._stop_event.set() # 发送停止信号
try:
# 等待任务结束,设置超时
await asyncio.wait_for(self.update_task, timeout=5.0)
interest_logger.info("InterestChatting 后台更新任务已成功停止。")
except asyncio.TimeoutError:
interest_logger.warning("停止 InterestChatting 后台任务超时,尝试取消...")
self.update_task.cancel()
try:
await self.update_task # 等待取消完成
except asyncio.CancelledError:
interest_logger.info("InterestChatting 后台更新任务已被取消。")
except Exception as e:
interest_logger.error(f"停止 InterestChatting 后台任务时发生异常: {e}")
finally:
self.update_task = None
else:
interest_logger.debug("InterestChatting 后台更新任务未运行或已完成。")
# --- 结束 新增方法 ---
class SubHeartflow:
def __init__(self, subheartflow_id, mai_states: MaiStateInfo):
@@ -272,122 +293,163 @@ class SubHeartflow:
request_type="sub_heart_flow",
)
self.gpt_instance = ResponseGenerator() # 响应生成器
self.tool_user_instance = ToolUser() # 工具使用模块
self.log_prefix = chat_manager.get_stream_name(self.subheartflow_id) or self.subheartflow_id
async def add_time_current_state(self, add_time: float):
self.current_state_time += add_time
async def change_to_state_chat(self):
self.current_state_time = 120
self._start_normal_chat()
async def change_to_state_focused(self):
self.current_state_time = 60
self._start_heart_fc_chat()
async def _stop_normal_chat(self):
"""停止 NormalChat 的兴趣监控"""
if self.normal_chat_instance:
logger.info(f"{self.log_prefix} 停止 NormalChat 兴趣监控...")
try:
await self.normal_chat_instance.stop_chat() # 调用 stop_chat
except Exception as e:
logger.error(f"{self.log_prefix} 停止 NormalChat 监控任务时出错: {e}")
logger.error(traceback.format_exc())
async def _start_normal_chat(self) -> bool:
"""启动 NormalChat 实例及其兴趣监控,确保 HeartFChatting 已停止"""
await self._stop_heart_fc_chat() # 确保专注聊天已停止
log_prefix = self.log_prefix
try:
# 总是尝试创建或获取最新的 stream 和 interest_dict
chat_stream = chat_manager.get_stream(self.chat_id)
if not chat_stream:
logger.error(f"{log_prefix} 无法获取 chat_stream无法启动 NormalChat。")
return False
# 如果实例不存在或需要更新,则创建新实例
# if not self.normal_chat_instance: # 或者总是重新创建以获取最新的 interest_dict?
self.normal_chat_instance = NormalChat(chat_stream=chat_stream, interest_dict=self.get_interest_dict())
logger.info(f"{log_prefix} 创建或更新 NormalChat 实例。")
logger.info(f"{log_prefix} 启动 NormalChat 兴趣监控...")
await self.normal_chat_instance.start_chat() # <--- 修正:调用 start_chat
return True
except Exception as e:
logger.error(f"{log_prefix} 启动 NormalChat 时出错: {e}")
logger.error(traceback.format_exc())
self.normal_chat_instance = None # 启动失败,清理实例
return False
async def _stop_heart_fc_chat(self):
"""停止并清理 HeartFChatting 实例"""
if self.heart_fc_instance:
logger.info(f"{self.log_prefix} 关闭 HeartFChatting 实例...")
try:
await self.heart_fc_instance.shutdown()
except Exception as e:
logger.error(f"{self.log_prefix} 关闭 HeartFChatting 实例时出错: {e}")
logger.error(traceback.format_exc())
finally:
# 无论是否成功关闭,都清理引用
self.heart_fc_instance = None
async def _start_heart_fc_chat(self) -> bool:
"""启动 HeartFChatting 实例,确保 NormalChat 已停止"""
await self._stop_normal_chat() # 确保普通聊天监控已停止
self.clear_interest_dict() # 清理兴趣字典,准备专注聊天
log_prefix = self.log_prefix
if self.heart_fc_instance:
if not self.heart_fc_instance._loop_active:
logger.warning(f"{log_prefix} HeartFChatting 实例存在但未激活,尝试重新激活...")
await self.heart_fc_instance.add_time() # 尝试添加时间以激活循环
return True # 假设 add_time 会处理激活逻辑
else:
logger.debug(f"{log_prefix} HeartFChatting 已在运行中。")
return True # 已经在运行
logger.info(f"{log_prefix} 麦麦准备开始专注聊天...")
try:
self.heart_fc_instance = HeartFChatting(
chat_id=self.chat_id,
)
if await self.heart_fc_instance._initialize():
await self.heart_fc_instance.add_time() # 初始化成功后添加初始时间
logger.info(f"{log_prefix} 麦麦已成功进入专注聊天模式。")
return True
else:
logger.error(f"{log_prefix} HeartFChatting 初始化失败,无法进入专注模式。")
self.heart_fc_instance = None # 初始化失败,清理实例
return False
except Exception as e:
logger.error(f"{log_prefix} 创建或初始化 HeartFChatting 实例时出错: {e}")
logger.error(traceback.format_exc())
self.heart_fc_instance = None # 创建或初始化异常,清理实例
return False
async def set_chat_state(self, new_state: "ChatState", current_states_num: tuple = ()):
"""更新sub_heartflow的聊天状态并管理 HeartFChatting 和 NormalChat 实例及任务"""
current_state = self.chat_state.chat_status
if current_state == new_state:
logger.trace(f"{self.log_prefix} 状态已为 {current_state.value}, 无需更改。")
# logger.trace(f"{self.log_prefix} 状态已为 {current_state.value}, 无需更改。") # 减少日志噪音
return
log_prefix = self.log_prefix # 使用实例属性
log_prefix = self.log_prefix
current_mai_state = self.mai_states.get_current_state()
state_changed = False # 标记状态是否实际发生改变
# --- 状态转换逻辑 ---
if new_state == ChatState.CHAT:
normal_limit = current_mai_state.get_normal_chat_max_num()
current_chat_count = current_states_num[1]
current_chat_count = current_states_num[1] if len(current_states_num) > 1 else 0
if current_chat_count >= normal_limit and current_state != ChatState.CHAT: # 仅在状态转换时检查限制
logger.debug(
f"{log_prefix} 麦麦不能从 {current_state.value} 转换到 聊天。原因:聊不过来了 ({current_chat_count}/{normal_limit})"
)
return # 阻止状态转换
if current_chat_count >= normal_limit and current_state != ChatState.CHAT:
logger.debug(f"{log_prefix} 无法从 {current_state.value} 转到 聊天。原因:聊不过来了 ({current_chat_count}/{normal_limit})")
return # 阻止状态转换
else:
logger.debug(f"{log_prefix} 麦麦可以进入或保持 聊天 状态 ({current_chat_count}/{normal_limit})")
if current_state == ChatState.FOCUSED and self.heart_fc_instance:
logger.info(f"{log_prefix} 麦麦不再专注聊天,转为随便水水...")
await self.heart_fc_instance.shutdown() # 正确关闭 HeartFChatting
self.heart_fc_instance = None
chat_stream = chat_manager.get_stream(self.chat_id)
self.normal_chat_instance = NormalChat(chat_stream=chat_stream, interest_dict=self.get_interest_dict())
await self.normal_chat_instance.start_monitoring_interest()
# NormalChat 启动/停止逻辑将在下面处理
logger.debug(f"{log_prefix} 准备进入或保持 聊天 状态 ({current_chat_count}/{normal_limit})")
if await self._start_normal_chat():
logger.info(f"{log_prefix} 成功进入或保持 NormalChat 状态。")
state_changed = True
else:
logger.error(f"{log_prefix} 启动 NormalChat 失败,无法进入 CHAT 状态。")
# 考虑是否需要回滚状态或采取其他措施
return # 启动失败,不改变状态
elif new_state == ChatState.FOCUSED:
focused_limit = current_mai_state.get_focused_chat_max_num()
current_focused_count = current_states_num[2]
if current_focused_count >= focused_limit and current_state != ChatState.FOCUSED: # 仅在状态转换时检查限制
logger.debug(
f"{log_prefix} 麦麦不能从 {current_state.value} 转换到 专注的聊天,原因:聊不过来了。({current_focused_count}/{focused_limit})"
)
return # 阻止状态转换
current_focused_count = current_states_num[2] if len(current_states_num) > 2 else 0
if current_focused_count >= focused_limit and current_state != ChatState.FOCUSED:
logger.debug(f"{log_prefix} 无法从 {current_state.value} 转到 专注。原因:聊不过来了 ({current_focused_count}/{focused_limit})")
return # 阻止状态转换
else:
logger.debug(f"{log_prefix} 麦麦可以进入或保持 专注聊天 状态 ({current_focused_count}/{focused_limit})")
if not self.heart_fc_instance:
logger.info(f"{log_prefix} 麦麦准备开始专注聊天...")
try:
await self.normal_chat_instance.stop_monitoring_interest()
self.clear_interest_dict()
logger.info(f"{log_prefix} 停止 NormalChat 兴趣监控成功。")
except Exception as e:
logger.error(f"{log_prefix} 停止 NormalChat 兴趣监控时出错: {e}")
logger.error(traceback.format_exc())
try:
self.heart_fc_instance = HeartFChatting(
chat_id=self.chat_id,
gpt_instance=self.gpt_instance,
tool_user_instance=self.tool_user_instance,
)
if await self.heart_fc_instance._initialize():
await self.heart_fc_instance.add_time() # 初始化成功后添加初始时间
logger.info(f"{log_prefix} 麦麦已成功进入专注聊天模式。")
else:
logger.error(
f"{log_prefix} 麦麦不能专注聊天,因为 HeartFChatting 初始化失败了,状态回滚到 {current_state.value}"
)
self.heart_fc_instance = None
return # 阻止进入 FOCUSED 状态
except Exception as e:
logger.error(f"{log_prefix} 创建麦麦专注聊天实例时出错: {e}")
logger.error(traceback.format_exc())
self.heart_fc_instance = None
return # 创建实例异常,阻止进入 FOCUSED 状态
logger.debug(f"{log_prefix} 准备进入或保持 专注聊天 状态 ({current_focused_count}/{focused_limit})")
if await self._start_heart_fc_chat():
logger.info(f"{log_prefix} 成功进入或保持 HeartFChatting 状态。")
state_changed = True
else:
# 已经是 FOCUSED 状态,或者 heart_fc_instance 已存在但未运行(不太可能)
if not self.heart_fc_instance._loop_active:
logger.warning(f"{log_prefix} HeartFChatting 实例存在但未激活,尝试重新激活...")
await self.heart_fc_instance.add_time() # 尝试添加时间以激活循环
else:
logger.debug(f"{log_prefix} 麦麦已经在专注聊天中。")
# NormalChat 启动/停止逻辑将在下面处理
logger.error(f"{log_prefix} 启动 HeartFChatting 失败,无法进入 FOCUSED 状态。")
# 启动失败状态回滚到之前的状态或ABSENT这里保持不改变
return # 启动失败,不改变状态
elif new_state == ChatState.ABSENT:
if current_state == ChatState.FOCUSED and self.heart_fc_instance:
logger.info(f"{log_prefix} 麦麦离开专注的聊天,撤退了.....")
await self.heart_fc_instance.shutdown() # 正确关闭 HeartFChatting
self.heart_fc_instance = None
# NormalChat 启动/停止逻辑将在下面处理
logger.info(f"{log_prefix} 进入 ABSENT 状态,停止所有聊天活动...")
await self._stop_normal_chat()
await self._stop_heart_fc_chat()
state_changed = True # 总是可以成功转换到 ABSENT
# --- 更新状态和最后活动时间 (先更新状态,再根据新状态管理任务)---
self.chat_state.chat_status = new_state
self.last_active_time = time.time()
logger.info(f"{log_prefix} 麦麦的聊天状态从 {current_state.value} 变更为 {new_state.value}")
# --- 根据新的状态管理 NormalChat 的监控任务 ---
if self.normal_chat_instance:
try:
if new_state == ChatState.ABSENT:
logger.info(f"{log_prefix} 状态变为 ABSENT停止 NormalChat 兴趣监控...")
await self.normal_chat_instance.stop_monitoring_interest()
else: # CHAT or FOCUSED
logger.info(f"{log_prefix} 状态变为 {new_state.value},启动或确认 NormalChat 兴趣监控...")
await self.normal_chat_instance.start_monitoring_interest()
except Exception as e:
logger.error(f"{log_prefix} 管理 NormalChat 监控任务时出错 (新状态: {new_state.value}): {e}")
logger.error(traceback.format_exc())
# --- 更新状态和最后活动时间 ---
if state_changed:
logger.info(f"{log_prefix} 麦麦的聊天状态从 {current_state.value} 变更为 {new_state.value}")
self.chat_state.chat_status = new_state
self.last_active_time = time.time()
else:
logger.warning(f"{log_prefix} NormalChat 实例不可用,无法管理其监控任务。")
# 如果因为某些原因(如启动失败)没有成功改变状态,记录一下
logger.debug(f"{log_prefix} 尝试将状态从 {current_state.value} 变为 {new_state.value},但未成功或未执行更改。")
async def subheartflow_start_working(self):
"""启动子心流的后台任务
@@ -399,8 +461,8 @@ class SubHeartflow:
logger.info(f"{self.log_prefix} 子心流开始工作...")
while not self.should_stop:
# 主循环保持简单,只做状态检查
await asyncio.sleep(30) # 30秒检查一次停止标志
logger.info(f"{self.log_prefix} 子心流后台任务已停止。")
@@ -543,6 +605,16 @@ class SubHeartflow:
def clear_interest_dict(self):
self.interest_chatting.interest_dict.clear()
async def get_full_state(self) -> dict:
"""获取子心流的完整状态,包括兴趣、思维和聊天状态。"""
interest_state = await self.get_interest_state()
return {
"interest_state": interest_state,
"current_mind": self.current_mind,
"chat_state": self.chat_state.chat_status.value,
"last_active_time": self.last_active_time,
}
async def shutdown(self):
"""安全地关闭子心流及其管理的任务"""
if self.should_stop:
@@ -552,24 +624,14 @@ class SubHeartflow:
logger.info(f"{self.log_prefix} 开始关闭子心流...")
self.should_stop = True # 标记为停止,让后台任务退出
# 停止 NormalChat 监控 (保持调用,确保清理)
if self.normal_chat_instance:
logger.info(f"{self.log_prefix} 停止 NormalChat 监控任务 (Shutdown)...")
try:
await self.normal_chat_instance.stop_monitoring_interest()
except Exception as e:
logger.error(f"{self.log_prefix} 停止 NormalChat 监控任务时出错 (Shutdown): {e}")
logger.error(traceback.format_exc())
# 使用新的停止方法
await self._stop_normal_chat()
await self._stop_heart_fc_chat()
# 停止 HeartFChatting (如果存在且正在运行)
if self.heart_fc_instance:
logger.info(f"{self.log_prefix} 关闭 HeartFChatting 实例 (Shutdown)...")
try:
await self.heart_fc_instance.shutdown()
except Exception as e:
logger.error(f"{self.log_prefix} 关闭 HeartFChatting 实例时出错 (Shutdown): {e}")
logger.error(traceback.format_exc())
self.heart_fc_instance = None # 清理实例引用
# 停止兴趣更新任务
if self.interest_chatting:
logger.info(f"{self.log_prefix} 停止兴趣系统后台任务...")
await self.interest_chatting.stop_updates()
# 取消可能存在的旧后台任务 (self.task)
if self.task and not self.task.done():

View File

@@ -257,42 +257,89 @@ class SubHeartflowManager:
logger.info(f"[停用] 完成, 尝试停止{len(flow_ids)}个, 成功{stopped_count}")
async def evaluate_interest_and_promote(self):
"""评估CHAT状态的子心流兴趣度满足条件则提升到FOCUSED状态"""
logger.debug("[子心流管理器] 开始兴趣评估周期...")
evaluated_count = 0
promoted_count = 0
async def evaluate_interest_and_promote(self, current_mai_state: MaiStateInfo):
"""评估子心流兴趣度,满足条件且未达上限则提升到FOCUSED状态基于start_hfc_probability"""
log_prefix_manager = "[子心流管理器-兴趣评估]"
logger.debug(f"{log_prefix_manager} 开始周期... 当前状态: {current_mai_state.get_current_state().value}")
# 获取 FOCUSED 状态的数量上限
current_state_enum = current_mai_state.get_current_state()
focused_limit = current_state_enum.get_focused_chat_max_num()
if focused_limit <= 0:
logger.debug(f"{log_prefix_manager} 当前状态 ({current_state_enum.value}) 不允许 FOCUSED 子心流, 跳过提升检查。")
return
# 获取当前 FOCUSED 状态的数量 (初始值)
current_focused_count = self.count_subflows_by_state(ChatState.FOCUSED)
logger.debug(f"{log_prefix_manager} 专注上限: {focused_limit}, 当前专注数: {current_focused_count}")
# 使用快照安全遍历
subflows_snapshot = list(self.subheartflows.values())
for sub_hf in subflows_snapshot:
flow_id = sub_hf.subheartflow_id
if flow_id in self.subheartflows and self.subheartflows[flow_id].chat_state.chat_status == ChatState.CHAT:
evaluated_count += 1
promoted_count = 0 # 记录本次提升的数量
try:
for sub_hf in subflows_snapshot:
flow_id = sub_hf.subheartflow_id
stream_name = chat_manager.get_stream_name(flow_id) or flow_id
log_prefix = f"[{stream_name}]"
log_prefix_flow = f"[{stream_name}]"
should_promote = await sub_hf.should_evaluate_reply()
if should_promote:
logger.info(f"{log_prefix} 兴趣评估触发升级: CHAT -> FOCUSED")
states_num = (
self.count_subflows_by_state(ChatState.ABSENT),
self.count_subflows_by_state(ChatState.CHAT),
self.count_subflows_by_state(ChatState.FOCUSED),
)
await sub_hf.set_chat_state(ChatState.FOCUSED, states_num)
if (
self.subheartflows.get(flow_id)
and self.subheartflows[flow_id].chat_state.chat_status == ChatState.FOCUSED
):
# 只处理 CHAT 状态的子心流
if sub_hf.chat_state.chat_status != ChatState.CHAT:
continue
# 检查是否满足提升概率
should_hfc = random.random() < sub_hf.interest_chatting.start_hfc_probability
if not should_hfc:
continue
# --- 关键检查:检查 FOCUSED 数量是否已达上限 ---
# 注意:在循环内部再次获取当前数量,因为之前的提升可能已经改变了计数
# 使用已经记录并在循环中更新的 current_focused_count
if current_focused_count >= focused_limit:
logger.debug(f"{log_prefix_manager} {log_prefix_flow} 达到专注上限 ({current_focused_count}/{focused_limit}), 无法提升。概率={sub_hf.interest_chatting.start_hfc_probability:.2f}")
continue # 跳过这个子心流,继续检查下一个
# --- 执行提升 ---
# 获取当前实例以检查最新状态 (防御性编程)
current_subflow = self.subheartflows.get(flow_id)
if not current_subflow or current_subflow.chat_state.chat_status != ChatState.CHAT:
logger.warning(f"{log_prefix_manager} {log_prefix_flow} 尝试提升时状态已改变或实例消失,跳过。")
continue
logger.info(f"{log_prefix_manager} {log_prefix_flow} 兴趣评估触发升级 (prob={sub_hf.interest_chatting.start_hfc_probability:.2f}, 上限:{focused_limit}, 当前:{current_focused_count}) -> FOCUSED")
states_num = (
self.count_subflows_by_state(ChatState.ABSENT),
self.count_subflows_by_state(ChatState.CHAT), # 这个值在提升前计算
current_focused_count, # 这个值在提升前计算
)
# --- 状态设置 ---
original_state = current_subflow.chat_state.chat_status # 记录原始状态
await current_subflow.set_chat_state(ChatState.FOCUSED, states_num)
# --- 状态验证 ---
final_subflow = self.subheartflows.get(flow_id)
if final_subflow:
final_state = final_subflow.chat_state.chat_status
if final_state == ChatState.FOCUSED:
logger.debug(f"{log_prefix_manager} {log_prefix_flow} 成功从 {original_state.value} 升级到 FOCUSED 状态")
promoted_count += 1
logger.debug(f"{log_prefix} 成功升级到FOCUSED状态")
else:
logger.info(f"{log_prefix} 升级FOCUSED可能被限制阻止")
# 提升成功后,更新当前专注计数,以便后续检查能使用最新值
current_focused_count += 1
elif final_state == original_state: # 状态未变
logger.warning(f"{log_prefix_manager} {log_prefix_flow} 尝试从 {original_state.value} 升级 FOCUSED 失败,状态仍为: {final_state.value} (可能被内部逻辑阻止)")
else: # 状态变成其他了?
logger.warning(f"{log_prefix_manager} {log_prefix_flow} 尝试从 {original_state.value} 升级 FOCUSED 后状态变为 {final_state.value}")
else: # 子心流消失了?
logger.warning(f"{log_prefix_manager} {log_prefix_flow} 升级后验证时子心流 {flow_id} 消失")
if evaluated_count > 0:
logger.debug(f"[子心流管理器] 评估完成. 评估{evaluated_count}个CHAT流, 升级{promoted_count}个到FOCUSED")
except Exception as e:
logger.error(f"{log_prefix_manager} 兴趣评估周期出错: {e}", exc_info=True)
if promoted_count > 0:
logger.info(f"{log_prefix_manager} 评估周期结束, 成功提升 {promoted_count} 个子心流到 FOCUSED。")
else:
logger.debug(f"{log_prefix_manager} 评估周期结束, 未提升任何子心流。")
def count_subflows_by_state(self, state: ChatState) -> int:
"""统计指定状态的子心流数量