579 lines
25 KiB
Python
579 lines
25 KiB
Python
import asyncio
|
||
import contextlib
|
||
import time
|
||
import traceback
|
||
from collections import deque
|
||
from typing import List, Optional, Dict, Any, Deque
|
||
from src.chat.message_receive.chat_stream import ChatStream
|
||
from src.chat.message_receive.chat_stream import chat_manager
|
||
from rich.traceback import install
|
||
from src.chat.utils.prompt_builder import global_prompt_manager
|
||
from src.common.logger_manager import get_logger
|
||
from src.chat.utils.timer_calculator import Timer
|
||
from src.chat.heart_flow.observation.observation import Observation
|
||
from src.chat.focus_chat.heartFC_Cycleinfo import CycleDetail
|
||
from src.chat.focus_chat.info.info_base import InfoBase
|
||
from src.chat.focus_chat.info_processors.chattinginfo_processor import ChattingInfoProcessor
|
||
from src.chat.focus_chat.info_processors.mind_processor import MindProcessor
|
||
from src.chat.focus_chat.info_processors.working_memory_processor import WorkingMemoryProcessor
|
||
from src.chat.focus_chat.info_processors.action_processor import ActionProcessor
|
||
from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservation
|
||
from src.chat.heart_flow.observation.working_observation import WorkingMemoryObservation
|
||
from src.chat.focus_chat.info_processors.tool_processor import ToolProcessor
|
||
from src.chat.focus_chat.expressors.default_expressor import DefaultExpressor
|
||
from src.chat.focus_chat.memory_activator import MemoryActivator
|
||
from src.chat.focus_chat.info_processors.base_processor import BaseProcessor
|
||
from src.chat.focus_chat.info_processors.self_processor import SelfProcessor
|
||
from src.chat.focus_chat.planners.planner import ActionPlanner
|
||
from src.chat.focus_chat.planners.action_manager import ActionManager
|
||
from src.chat.focus_chat.working_memory.working_memory import WorkingMemory
|
||
from src.config.config import global_config
|
||
|
||
install(extra_lines=3)
|
||
|
||
|
||
# 定义处理器映射：键是处理器名称，值是 (处理器类, 可选的配置键名)
|
||
# 如果配置键名为 None，则该处理器默认启用且不能通过 focus_chat_processor 配置禁用
|
||
PROCESSOR_CLASSES = {
|
||
"ChattingInfoProcessor": (ChattingInfoProcessor, None),
|
||
"MindProcessor": (MindProcessor, None),
|
||
"ToolProcessor": (ToolProcessor, "tool_use_processor"),
|
||
"WorkingMemoryProcessor": (WorkingMemoryProcessor, "working_memory_processor"),
|
||
"SelfProcessor": (SelfProcessor, "self_identify_processor"),
|
||
"ActionProcessor": (ActionProcessor, "action_processor"), # 这个处理器不需要配置键名，默认启用
|
||
}
|
||
|
||
|
||
WAITING_TIME_THRESHOLD = 300 # 等待新消息时间阈值，单位秒
|
||
|
||
EMOJI_SEND_PRO = 0.3 # 设置一个概率，比如 30% 才真的发
|
||
|
||
CONSECUTIVE_NO_REPLY_THRESHOLD = 3 # 连续不回复的阈值
|
||
|
||
logger = get_logger("hfc") # Logger Name Changed
|
||
|
||
|
||
async def _handle_cycle_delay(action_taken_this_cycle: bool, cycle_start_time: float, log_prefix: str):
|
||
"""处理循环延迟"""
|
||
cycle_duration = time.monotonic() - cycle_start_time
|
||
|
||
try:
|
||
sleep_duration = 0.0
|
||
if not action_taken_this_cycle and cycle_duration < 1:
|
||
sleep_duration = 1 - cycle_duration
|
||
elif cycle_duration < 0.2:
|
||
sleep_duration = 0.2
|
||
|
||
if sleep_duration > 0:
|
||
await asyncio.sleep(sleep_duration)
|
||
|
||
except asyncio.CancelledError:
|
||
logger.info(f"{log_prefix} Sleep interrupted, loop likely cancelling.")
|
||
raise
|
||
|
||
|
||
class HeartFChatting:
|
||
"""
|
||
管理一个连续的Focus Chat循环
|
||
用于在特定聊天流中生成回复。
|
||
其生命周期现在由其关联的 SubHeartflow 的 FOCUSED 状态控制。
|
||
"""
|
||
|
||
def __init__(
|
||
self,
|
||
chat_id: str,
|
||
observations: list[Observation],
|
||
):
|
||
"""
|
||
HeartFChatting 初始化函数
|
||
|
||
参数:
|
||
chat_id: 聊天流唯一标识符(如stream_id)
|
||
observations: 关联的观察列表
|
||
"""
|
||
# 基础属性
|
||
self.stream_id: str = chat_id # 聊天流ID
|
||
self.chat_stream: Optional[ChatStream] = None # 关联的聊天流
|
||
self.log_prefix: str = str(chat_id) # Initial default, will be updated
|
||
self.hfcloop_observation = HFCloopObservation(observe_id=self.stream_id)
|
||
self.chatting_observation = observations[0]
|
||
|
||
self.memory_activator = MemoryActivator()
|
||
self.working_memory = WorkingMemory(chat_id=self.stream_id)
|
||
self.working_observation = WorkingMemoryObservation(
|
||
observe_id=self.stream_id, working_memory=self.working_memory
|
||
)
|
||
|
||
# 根据配置文件和默认规则确定启用的处理器
|
||
self.enabled_processor_names: List[str] = []
|
||
config_processor_settings = global_config.focus_chat_processor
|
||
|
||
for proc_name, (_proc_class, config_key) in PROCESSOR_CLASSES.items():
|
||
if config_key: # 此处理器可通过配置控制
|
||
if getattr(config_processor_settings, config_key, True): # 默认启用 (如果配置中未指定该键)
|
||
self.enabled_processor_names.append(proc_name)
|
||
else: # 此处理器不在配置映射中 (config_key is None)，默认启用
|
||
self.enabled_processor_names.append(proc_name)
|
||
|
||
logger.info(f"{self.log_prefix} 将启用的处理器: {self.enabled_processor_names}")
|
||
self.processors: List[BaseProcessor] = []
|
||
self._register_default_processors()
|
||
|
||
self.expressor = DefaultExpressor(chat_id=self.stream_id)
|
||
self.action_manager = ActionManager()
|
||
self.action_planner = ActionPlanner(log_prefix=self.log_prefix, action_manager=self.action_manager)
|
||
|
||
self.hfcloop_observation.set_action_manager(self.action_manager)
|
||
|
||
self.all_observations = observations
|
||
|
||
# 初始化状态控制
|
||
self._initialized = False
|
||
self._processing_lock = asyncio.Lock()
|
||
|
||
# 循环控制内部状态
|
||
self._loop_active: bool = False # 循环是否正在运行
|
||
self._loop_task: Optional[asyncio.Task] = None # 主循环任务
|
||
|
||
# 添加循环信息管理相关的属性
|
||
self._cycle_counter = 0
|
||
self._cycle_history: Deque[CycleDetail] = deque(maxlen=10) # 保留最近10个循环的信息
|
||
self._current_cycle: Optional[CycleDetail] = None
|
||
self._shutting_down: bool = False # 关闭标志位
|
||
|
||
async def _initialize(self) -> bool:
|
||
"""
|
||
执行懒初始化操作
|
||
|
||
功能:
|
||
1. 获取聊天类型(群聊/私聊)和目标信息
|
||
2. 获取聊天流对象
|
||
3. 设置日志前缀
|
||
|
||
返回:
|
||
bool: 初始化是否成功
|
||
|
||
注意:
|
||
- 如果已经初始化过会直接返回True
|
||
- 需要获取chat_stream对象才能继续后续操作
|
||
"""
|
||
# 如果已经初始化过，直接返回成功
|
||
if self._initialized:
|
||
return True
|
||
|
||
try:
|
||
await self.expressor.initialize()
|
||
self.chat_stream = await asyncio.to_thread(chat_manager.get_stream, self.stream_id)
|
||
self.expressor.chat_stream = self.chat_stream
|
||
self.log_prefix = f"[{chat_manager.get_stream_name(self.stream_id) or self.stream_id}]"
|
||
except Exception as e:
|
||
logger.error(f"[HFC:{self.stream_id}] 初始化HFC时发生错误: {e}")
|
||
return False
|
||
|
||
# 标记初始化完成
|
||
self._initialized = True
|
||
logger.debug(f"{self.log_prefix} 初始化完成，准备开始处理消息")
|
||
return True
|
||
|
||
def _register_default_processors(self):
|
||
"""根据 self.enabled_processor_names 注册信息处理器"""
|
||
self.processors = [] # 清空已有的
|
||
|
||
for name in self.enabled_processor_names: # 'name' is "ChattingInfoProcessor", etc.
|
||
processor_info = PROCESSOR_CLASSES.get(name) # processor_info is (ProcessorClass, config_key)
|
||
if processor_info:
|
||
processor_actual_class = processor_info[0] # 获取实际的类定义
|
||
# 根据处理器类名判断是否需要 subheartflow_id
|
||
if name in ["MindProcessor", "ToolProcessor", "WorkingMemoryProcessor", "SelfProcessor"]:
|
||
self.processors.append(processor_actual_class(subheartflow_id=self.stream_id))
|
||
elif name == "ChattingInfoProcessor":
|
||
self.processors.append(processor_actual_class())
|
||
else:
|
||
# 对于PROCESSOR_CLASSES中定义但此处未明确处理构造的处理器
|
||
# (例如, 新增了一个处理器到PROCESSOR_CLASSES, 它不需要id, 也不叫ChattingInfoProcessor)
|
||
try:
|
||
self.processors.append(processor_actual_class()) # 尝试无参构造
|
||
logger.debug(f"{self.log_prefix} 注册处理器 {name} (尝试无参构造).")
|
||
except TypeError:
|
||
logger.error(
|
||
f"{self.log_prefix} 处理器 {name} 构造失败。它可能需要参数（如 subheartflow_id）但未在注册逻辑中明确处理。"
|
||
)
|
||
else:
|
||
# 这理论上不应该发生，因为 enabled_processor_names 是从 PROCESSOR_CLASSES 的键生成的
|
||
logger.warning(
|
||
f"{self.log_prefix} 在 PROCESSOR_CLASSES 中未找到名为 '{name}' 的处理器定义，将跳过注册。"
|
||
)
|
||
|
||
if self.processors:
|
||
logger.info(
|
||
f"{self.log_prefix} 已根据配置和默认规则注册处理器: {[p.__class__.__name__ for p in self.processors]}"
|
||
)
|
||
else:
|
||
logger.warning(f"{self.log_prefix} 没有注册任何处理器。这可能是由于配置错误或所有处理器都被禁用了。")
|
||
|
||
async def start(self):
|
||
"""
|
||
启动 HeartFChatting 的主循环。
|
||
注意：调用此方法前必须确保已经成功初始化。
|
||
"""
|
||
logger.info(f"{self.log_prefix} 开始认真聊天(HFC)...")
|
||
await self._start_loop_if_needed()
|
||
|
||
async def _start_loop_if_needed(self):
|
||
"""检查是否需要启动主循环，如果未激活则启动。"""
|
||
# 如果循环已经激活，直接返回
|
||
if self._loop_active:
|
||
return
|
||
|
||
# 标记为活动状态，防止重复启动
|
||
self._loop_active = True
|
||
|
||
# 检查是否已有任务在运行（理论上不应该，因为 _loop_active=False）
|
||
if self._loop_task and not self._loop_task.done():
|
||
logger.warning(f"{self.log_prefix} 发现之前的循环任务仍在运行（不符合预期）。取消旧任务。")
|
||
self._loop_task.cancel()
|
||
try:
|
||
# 等待旧任务确实被取消
|
||
await asyncio.wait_for(self._loop_task, timeout=0.5)
|
||
except (asyncio.CancelledError, asyncio.TimeoutError):
|
||
pass # 忽略取消或超时错误
|
||
self._loop_task = None # 清理旧任务引用
|
||
|
||
self._loop_task = asyncio.create_task(self._run_focus_chat())
|
||
self._loop_task.add_done_callback(self._handle_loop_completion)
|
||
|
||
def _handle_loop_completion(self, task: asyncio.Task):
|
||
"""当 _hfc_loop 任务完成时执行的回调。"""
|
||
try:
|
||
exception = task.exception()
|
||
if exception:
|
||
logger.error(f"{self.log_prefix} HeartFChatting: 麦麦脱离了聊天(异常): {exception}")
|
||
logger.error(traceback.format_exc()) # Log full traceback for exceptions
|
||
else:
|
||
logger.info(f"{self.log_prefix} HeartFChatting: 麦麦脱离了聊天 (外部停止)")
|
||
except asyncio.CancelledError:
|
||
logger.info(f"{self.log_prefix} HeartFChatting: 麦麦脱离了聊天(任务取消)")
|
||
finally:
|
||
self._loop_active = False
|
||
self._loop_task = None
|
||
if self._processing_lock.locked():
|
||
logger.warning(f"{self.log_prefix} HeartFChatting: 处理锁在循环结束时仍被锁定，强制释放。")
|
||
self._processing_lock.release()
|
||
|
||
async def _run_focus_chat(self):
|
||
"""主循环，持续进行计划并可能回复消息，直到被外部取消。"""
|
||
try:
|
||
while True: # 主循环
|
||
logger.debug(f"{self.log_prefix} 开始第{self._cycle_counter}次循环")
|
||
if self._shutting_down:
|
||
logger.info(f"{self.log_prefix} 检测到关闭标志，退出 Focus Chat 循环。")
|
||
break
|
||
|
||
# 创建新的循环信息
|
||
self._cycle_counter += 1
|
||
self._current_cycle = CycleDetail(self._cycle_counter)
|
||
|
||
# 初始化周期状态
|
||
cycle_timers = {}
|
||
loop_cycle_start_time = time.monotonic()
|
||
|
||
# 执行规划和处理阶段
|
||
async with self._get_cycle_context():
|
||
thinking_id = "tid" + str(round(time.time(), 2))
|
||
self._current_cycle.set_thinking_id(thinking_id)
|
||
# 主循环：思考->决策->执行
|
||
async with global_prompt_manager.async_message_scope(self.chat_stream.context.get_template_name()):
|
||
logger.debug(f"模板 {self.chat_stream.context.get_template_name()}")
|
||
loop_info = await self._observe_process_plan_action_loop(cycle_timers, thinking_id)
|
||
|
||
self._current_cycle.set_loop_info(loop_info)
|
||
|
||
self.hfcloop_observation.add_loop_info(self._current_cycle)
|
||
self._current_cycle.timers = cycle_timers
|
||
|
||
# 防止循环过快消耗资源
|
||
await _handle_cycle_delay(
|
||
loop_info["loop_action_info"]["action_taken"], loop_cycle_start_time, self.log_prefix
|
||
)
|
||
|
||
# 完成当前循环并保存历史
|
||
self._current_cycle.complete_cycle()
|
||
self._cycle_history.append(self._current_cycle)
|
||
|
||
# 记录循环信息和计时器结果
|
||
timer_strings = []
|
||
for name, elapsed in cycle_timers.items():
|
||
formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒"
|
||
timer_strings.append(f"{name}: {formatted_time}")
|
||
|
||
logger.info(
|
||
f"{self.log_prefix} 第{self._current_cycle.cycle_id}次思考,"
|
||
f"耗时: {self._current_cycle.end_time - self._current_cycle.start_time:.1f}秒, "
|
||
f"动作: {self._current_cycle.loop_plan_info['action_result']['action_type']}"
|
||
+ (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "")
|
||
)
|
||
|
||
await asyncio.sleep(global_config.focus_chat.think_interval)
|
||
|
||
except asyncio.CancelledError:
|
||
# 设置了关闭标志位后被取消是正常流程
|
||
if not self._shutting_down:
|
||
logger.warning(f"{self.log_prefix} 麦麦Focus聊天模式意外被取消")
|
||
else:
|
||
logger.info(f"{self.log_prefix} 麦麦已离开Focus聊天模式")
|
||
except Exception as e:
|
||
logger.error(f"{self.log_prefix} 麦麦Focus聊天模式意外错误: {e}")
|
||
print(traceback.format_exc())
|
||
|
||
@contextlib.asynccontextmanager
|
||
async def _get_cycle_context(self):
|
||
"""
|
||
循环周期的上下文管理器
|
||
|
||
用于确保资源的正确获取和释放：
|
||
1. 获取处理锁
|
||
2. 执行操作
|
||
3. 释放锁
|
||
"""
|
||
acquired = False
|
||
try:
|
||
await self._processing_lock.acquire()
|
||
acquired = True
|
||
yield acquired
|
||
finally:
|
||
if acquired and self._processing_lock.locked():
|
||
self._processing_lock.release()
|
||
|
||
async def _process_processors(
|
||
self, observations: List[Observation], running_memorys: List[Dict[str, Any]], cycle_timers: dict
|
||
) -> List[InfoBase]:
|
||
# 记录并行任务开始时间
|
||
parallel_start_time = time.time()
|
||
logger.debug(f"{self.log_prefix} 开始信息处理器并行任务")
|
||
|
||
processor_tasks = []
|
||
task_to_name_map = {}
|
||
|
||
for processor in self.processors:
|
||
processor_name = processor.__class__.log_prefix
|
||
task = asyncio.create_task(
|
||
processor.process_info(observations=observations, running_memorys=running_memorys)
|
||
)
|
||
processor_tasks.append(task)
|
||
task_to_name_map[task] = processor_name
|
||
logger.debug(f"{self.log_prefix} 启动处理器任务: {processor_name}")
|
||
|
||
pending_tasks = set(processor_tasks)
|
||
all_plan_info: List[InfoBase] = []
|
||
|
||
while pending_tasks:
|
||
done, pending_tasks = await asyncio.wait(pending_tasks, return_when=asyncio.FIRST_COMPLETED)
|
||
|
||
for task in done:
|
||
processor_name = task_to_name_map[task]
|
||
task_completed_time = time.time()
|
||
duration_since_parallel_start = task_completed_time - parallel_start_time
|
||
|
||
try:
|
||
# 使用 await task 来获取结果或触发异常
|
||
result_list = await task
|
||
logger.info(
|
||
f"{self.log_prefix} 处理器 {processor_name} 已完成，信息已处理: {duration_since_parallel_start:.2f}秒"
|
||
)
|
||
if result_list is not None:
|
||
all_plan_info.extend(result_list)
|
||
else:
|
||
logger.warning(f"{self.log_prefix} 处理器 {processor_name} 返回了 None")
|
||
except Exception as e:
|
||
logger.error(
|
||
f"{self.log_prefix} 处理器 {processor_name} 执行失败，耗时 (自并行开始): {duration_since_parallel_start:.2f}秒. 错误: {e}",
|
||
exc_info=True,
|
||
)
|
||
traceback.print_exc()
|
||
# 即使出错，也认为该任务结束了，已从 pending_tasks 中移除
|
||
|
||
if pending_tasks:
|
||
current_progress_time = time.time()
|
||
elapsed_for_log = current_progress_time - parallel_start_time
|
||
pending_names_for_log = [task_to_name_map[t] for t in pending_tasks]
|
||
logger.info(
|
||
f"{self.log_prefix} 信息处理已进行 {elapsed_for_log:.2f}秒，待完成任务: {', '.join(pending_names_for_log)}"
|
||
)
|
||
|
||
# 所有任务完成后的最终日志
|
||
parallel_end_time = time.time()
|
||
total_duration = parallel_end_time - parallel_start_time
|
||
logger.info(f"{self.log_prefix} 所有处理器任务全部完成，总耗时: {total_duration:.2f}秒")
|
||
# logger.debug(f"{self.log_prefix} 所有信息处理器处理后的信息: {all_plan_info}")
|
||
|
||
return all_plan_info
|
||
|
||
async def _observe_process_plan_action_loop(self, cycle_timers: dict, thinking_id: str) -> tuple[bool, str]:
|
||
try:
|
||
with Timer("观察", cycle_timers):
|
||
# await self.observations[0].observe()
|
||
await self.chatting_observation.observe()
|
||
await self.working_observation.observe()
|
||
await self.hfcloop_observation.observe()
|
||
observations: List[Observation] = []
|
||
observations.append(self.chatting_observation)
|
||
observations.append(self.working_observation)
|
||
observations.append(self.hfcloop_observation)
|
||
|
||
loop_observation_info = {
|
||
"observations": observations,
|
||
}
|
||
|
||
self.all_observations = observations
|
||
|
||
with Timer("回忆", cycle_timers):
|
||
running_memorys = await self.memory_activator.activate_memory(observations)
|
||
|
||
with Timer("执行 信息处理器", cycle_timers):
|
||
all_plan_info = await self._process_processors(observations, running_memorys, cycle_timers)
|
||
|
||
loop_processor_info = {
|
||
"all_plan_info": all_plan_info,
|
||
}
|
||
|
||
with Timer("规划器", cycle_timers):
|
||
plan_result = await self.action_planner.plan(all_plan_info, cycle_timers)
|
||
|
||
loop_plan_info = {
|
||
"action_result": plan_result.get("action_result", {}),
|
||
"current_mind": plan_result.get("current_mind", ""),
|
||
"observed_messages": plan_result.get("observed_messages", ""),
|
||
}
|
||
|
||
with Timer("执行动作", cycle_timers):
|
||
action_type, action_data, reasoning = (
|
||
plan_result.get("action_result", {}).get("action_type", "error"),
|
||
plan_result.get("action_result", {}).get("action_data", {}),
|
||
plan_result.get("action_result", {}).get("reasoning", "未提供理由"),
|
||
)
|
||
|
||
# 在此处添加日志记录
|
||
if action_type == "reply":
|
||
action_str = "回复"
|
||
elif action_type == "no_reply":
|
||
action_str = "不回复"
|
||
else:
|
||
action_str = action_type
|
||
|
||
logger.info(f"{self.log_prefix} 麦麦决定'{action_str}', 原因'{reasoning}'")
|
||
|
||
success, reply_text = await self._handle_action(
|
||
action_type, reasoning, action_data, cycle_timers, thinking_id
|
||
)
|
||
|
||
loop_action_info = {
|
||
"action_taken": success,
|
||
"reply_text": reply_text,
|
||
}
|
||
|
||
loop_info = {
|
||
"loop_observation_info": loop_observation_info,
|
||
"loop_processor_info": loop_processor_info,
|
||
"loop_plan_info": loop_plan_info,
|
||
"loop_action_info": loop_action_info,
|
||
}
|
||
|
||
return loop_info
|
||
|
||
except Exception as e:
|
||
logger.error(f"{self.log_prefix} FOCUS聊天处理失败: {e}")
|
||
logger.error(traceback.format_exc())
|
||
return {}
|
||
|
||
async def _handle_action(
|
||
self,
|
||
action: str,
|
||
reasoning: str,
|
||
action_data: dict,
|
||
cycle_timers: dict,
|
||
thinking_id: str,
|
||
) -> tuple[bool, str]:
|
||
"""
|
||
处理规划动作，使用动作工厂创建相应的动作处理器
|
||
|
||
参数:
|
||
action: 动作类型
|
||
reasoning: 决策理由
|
||
action_data: 动作数据，包含不同动作需要的参数
|
||
cycle_timers: 计时器字典
|
||
thinking_id: 思考ID
|
||
|
||
返回:
|
||
tuple[bool, str]: (是否执行了动作, 思考消息ID)
|
||
"""
|
||
try:
|
||
# 使用工厂创建动作处理器实例
|
||
action_handler = self.action_manager.create_action(
|
||
action_name=action,
|
||
action_data=action_data,
|
||
reasoning=reasoning,
|
||
cycle_timers=cycle_timers,
|
||
thinking_id=thinking_id,
|
||
observations=self.all_observations,
|
||
expressor=self.expressor,
|
||
chat_stream=self.chat_stream,
|
||
log_prefix=self.log_prefix,
|
||
shutting_down=self._shutting_down,
|
||
)
|
||
|
||
if not action_handler:
|
||
logger.warning(f"{self.log_prefix} 未能创建动作处理器: {action}, 原因: {reasoning}")
|
||
return False, ""
|
||
|
||
# 处理动作并获取结果
|
||
success, reply_text = await action_handler.handle_action()
|
||
|
||
return success, reply_text
|
||
|
||
except Exception as e:
|
||
logger.error(f"{self.log_prefix} 处理{action}时出错: {e}")
|
||
traceback.print_exc()
|
||
return False, ""
|
||
|
||
async def shutdown(self):
|
||
"""优雅关闭HeartFChatting实例，取消活动循环任务"""
|
||
logger.info(f"{self.log_prefix} 正在关闭HeartFChatting...")
|
||
self._shutting_down = True # <-- 在开始关闭时设置标志位
|
||
|
||
# 取消循环任务
|
||
if self._loop_task and not self._loop_task.done():
|
||
logger.info(f"{self.log_prefix} 正在取消HeartFChatting循环任务")
|
||
self._loop_task.cancel()
|
||
try:
|
||
await asyncio.wait_for(self._loop_task, timeout=1.0)
|
||
logger.info(f"{self.log_prefix} HeartFChatting循环任务已取消")
|
||
except (asyncio.CancelledError, asyncio.TimeoutError):
|
||
pass
|
||
except Exception as e:
|
||
logger.error(f"{self.log_prefix} 取消循环任务出错: {e}")
|
||
else:
|
||
logger.info(f"{self.log_prefix} 没有活动的HeartFChatting循环任务")
|
||
|
||
# 清理状态
|
||
self._loop_active = False
|
||
self._loop_task = None
|
||
if self._processing_lock.locked():
|
||
self._processing_lock.release()
|
||
logger.warning(f"{self.log_prefix} 已释放处理锁")
|
||
|
||
logger.info(f"{self.log_prefix} HeartFChatting关闭完成")
|
||
|
||
def get_cycle_history(self, last_n: Optional[int] = None) -> List[Dict[str, Any]]:
|
||
"""获取循环历史记录
|
||
|
||
参数:
|
||
last_n: 获取最近n个循环的信息，如果为None则获取所有历史记录
|
||
|
||
返回:
|
||
List[Dict[str, Any]]: 循环历史记录列表
|
||
"""
|
||
history = list(self._cycle_history)
|
||
if last_n is not None:
|
||
history = history[-last_n:]
|
||
return [cycle.to_dict() for cycle in history]
|