mirror of https://github.com/Mai-with-u/MaiBot.git
177 lines
6.8 KiB
Python
177 lines
6.8 KiB
Python
import asyncio
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import traceback
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from typing import Optional, Coroutine, Callable, Any, List
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from src.common.logger_manager import get_logger
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# Need manager types for dependency injection
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from src.heart_flow.mai_state_manager import MaiStateManager, MaiStateInfo
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from src.heart_flow.subheartflow_manager import SubHeartflowManager
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from src.heart_flow.interest_logger import InterestLogger
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logger = get_logger("background_tasks")
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# 兴趣评估间隔
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INTEREST_EVAL_INTERVAL_SECONDS = 5
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# 专注水群检查间隔
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FOCUS_CHAT_CHECK_INTERVAL_SECONDS = 60
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# 日志记录间隔
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LOG_INTERVAL_SECONDS = 3
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async def _run_periodic_loop(
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task_name: str, interval: int, task_func: Callable[..., Coroutine[Any, Any, None]], **kwargs
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):
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"""周期性任务主循环"""
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while True:
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start_time = asyncio.get_event_loop().time()
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# logger.debug(f"开始执行后台任务: {task_name}")
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try:
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await task_func(**kwargs) # 执行实际任务
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except asyncio.CancelledError:
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logger.info(f"任务 {task_name} 已取消")
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break
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except Exception as e:
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logger.error(f"任务 {task_name} 执行出错: {e}")
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logger.error(traceback.format_exc())
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# 计算并执行间隔等待
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elapsed = asyncio.get_event_loop().time() - start_time
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sleep_time = max(0, interval - elapsed)
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# if sleep_time < 0.1: # 任务超时处理, DEBUG 时可能干扰断点
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# logger.warning(f"任务 {task_name} 超时执行 ({elapsed:.2f}s > {interval}s)")
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await asyncio.sleep(sleep_time)
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logger.debug(f"任务循环结束: {task_name}") # 调整日志信息
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class BackgroundTaskManager:
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"""管理 Heartflow 的后台周期性任务。"""
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def __init__(
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self,
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mai_state_info: MaiStateInfo, # Needs current state info
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mai_state_manager: MaiStateManager,
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subheartflow_manager: SubHeartflowManager,
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interest_logger: InterestLogger,
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):
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self.mai_state_info = mai_state_info
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self.mai_state_manager = mai_state_manager
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self.subheartflow_manager = subheartflow_manager
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self.interest_logger = interest_logger
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# Task references
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self._logging_task: Optional[asyncio.Task] = None
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self._focus_chat_check_task: Optional[asyncio.Task] = None
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self._into_focus_task: Optional[asyncio.Task] = None
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self._tasks: List[Optional[asyncio.Task]] = [] # Keep track of all tasks
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async def start_tasks(self):
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"""启动所有后台任务
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功能说明:
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- 启动核心后台任务: 日志记录、兴趣评估和专注水群监测
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- 每个任务启动前检查是否已在运行
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- 将任务引用保存到任务列表
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"""
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# 任务配置列表: (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)
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task_configs = [
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(
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lambda: self._run_focus_chat_check_cycle(FOCUS_CHAT_CHECK_INTERVAL_SECONDS),
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"debug",
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f"专注水群检查任务已启动 间隔:{FOCUS_CHAT_CHECK_INTERVAL_SECONDS}s",
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"_focus_chat_check_task",
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),
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(
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self._run_logging_cycle,
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"info",
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f"日志任务已启动 间隔:{LOG_INTERVAL_SECONDS}s",
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"_logging_task",
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),
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# 兴趣评估任务配置
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(
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self._run_into_focus_cycle,
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"debug", # 设为debug，避免过多日志
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f"专注评估任务已启动 间隔:{INTEREST_EVAL_INTERVAL_SECONDS}s",
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"_into_focus_task",
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),
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]
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# 统一启动所有任务
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for task_func, log_level, log_msg, task_attr_name in task_configs:
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# 检查任务变量是否存在且未完成
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current_task_var = getattr(self, task_attr_name)
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if current_task_var is None or current_task_var.done():
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new_task = asyncio.create_task(task_func())
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setattr(self, task_attr_name, new_task) # 更新任务变量
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if new_task not in self._tasks: # 避免重复添加
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self._tasks.append(new_task)
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# 根据配置记录不同级别的日志
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getattr(logger, log_level)(log_msg)
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else:
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logger.warning(f"{task_attr_name}任务已在运行")
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async def stop_tasks(self):
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"""停止所有后台任务。
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该方法会:
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1. 遍历所有后台任务并取消未完成的任务
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2. 等待所有取消操作完成
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3. 清空任务列表
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"""
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logger.info("正在停止所有后台任务...")
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cancelled_count = 0
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# 第一步：取消所有运行中的任务
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for task in self._tasks:
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if task and not task.done():
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task.cancel() # 发送取消请求
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cancelled_count += 1
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# 第二步：处理取消结果
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if cancelled_count > 0:
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logger.debug(f"正在等待{cancelled_count}个任务完成取消...")
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# 使用gather等待所有取消操作完成，忽略异常
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await asyncio.gather(*[t for t in self._tasks if t and t.cancelled()], return_exceptions=True)
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logger.info(f"成功取消{cancelled_count}个后台任务")
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else:
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logger.info("没有需要取消的后台任务")
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# 第三步：清空任务列表
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self._tasks = [] # 重置任务列表
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async def _focus_chat_check_work(self):
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"""检查FOCUSED状态的子心流是否需要转回CHAT状态"""
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logger.debug("[专注水群检查] 开始检查专注水群状态的子心流...")
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await self.subheartflow_manager.sbhf_focus_into_chat()
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async def _perform_logging_work(self):
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"""执行一轮状态日志记录。"""
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await self.interest_logger.log_all_states()
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async def _perform_into_focus_work(self):
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"""执行一轮子心流兴趣评估与提升检查。"""
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# 直接调用 subheartflow_manager 的方法进行CHAT到FOCUSED的转换
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await self.subheartflow_manager.sbhf_chat_into_focus()
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# --- Specific Task Runners --- #
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async def _run_focus_chat_check_cycle(self, interval: int):
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await _run_periodic_loop(task_name="Focus Chat Check", interval=interval, task_func=self._focus_chat_check_work)
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async def _run_logging_cycle(self):
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await _run_periodic_loop(
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task_name="State Logging", interval=LOG_INTERVAL_SECONDS, task_func=self._perform_logging_work
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)
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async def _run_into_focus_cycle(self):
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await _run_periodic_loop(
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task_name="Into Focus",
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interval=INTEREST_EVAL_INTERVAL_SECONDS,
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task_func=self._perform_into_focus_work,
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)
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