fix(event): replace condition-based wait with exponential backoff

app/core/event.py

@@ -1,6 +1,7 @@
 import copy
 import importlib
 import inspect
+import random
 import threading
 import time
 import traceback
@@ -12,11 +13,13 @@ from app.helper.message import MessageHelper
 from app.helper.thread import ThreadHelper
 from app.log import logger
 from app.schemas.types import EventType, ChainEventType
+from app.utils.limit import ExponentialBackoffRateLimiter
 from app.utils.singleton import Singleton
 
 DEFAULT_EVENT_PRIORITY = 10  # 事件的默认优先级
 MIN_EVENT_CONSUMER_THREADS = 1  # 最小事件消费者线程数
-EVENT_QUEUE_IDLE_TIMEOUT_SECONDS = 30  # 事件队列空闲时的超时时间（秒）
+INITIAL_EVENT_QUEUE_IDLE_TIMEOUT_SECONDS = 1  # 事件队列空闲时的初始超时时间（秒）
+MAX_EVENT_QUEUE_IDLE_TIMEOUT_SECONDS = 60  # 事件队列空闲时的最大超时时间（秒）
 
 
 class Event:
@@ -78,7 +81,6 @@ class EventManager(metaclass=Singleton):
         self.__disabled_handlers = set()  # 禁用的事件处理器集合
         self.__disabled_classes = set()  # 禁用的事件处理器类集合
         self.__lock = threading.Lock()  # 线程锁
-        self.__condition = threading.Condition(self.__lock)  # 条件变量
 
     def start(self):
         """
@@ -87,7 +89,7 @@ class EventManager(metaclass=Singleton):
         # 启动消费者线程用于处理广播事件
         self.__event.set()
         for _ in range(MIN_EVENT_CONSUMER_THREADS):
-            thread = threading.Thread(target=self.__fixed_broadcast_consumer, daemon=True)
+            thread = threading.Thread(target=self.__broadcast_consumer_loop, daemon=True)
             thread.start()
             self.__consumer_threads.append(thread)  # 将线程对象保存到列表中
 
@@ -136,8 +138,6 @@ class EventManager(metaclass=Singleton):
         event = Event(etype, data, priority)
         if isinstance(etype, EventType):
             self.__trigger_broadcast_event(event)
-            with self.__condition:
-                self.__condition.notify()
         elif isinstance(etype, ChainEventType):
             return self.__trigger_chain_event(event)
         else:
@@ -399,20 +399,24 @@ class EventManager(metaclass=Singleton):
 
         return class_obj
 
-    def __fixed_broadcast_consumer(self):
+    def __broadcast_consumer_loop(self):
         """
-        固定的后台广播消费者线程，持续从队列中提取事件
+        持续从队列中提取事件的后台广播消费者线程
         """
+        jitter_factor = 0.1
+        rate_limiter = ExponentialBackoffRateLimiter(base_wait=INITIAL_EVENT_QUEUE_IDLE_TIMEOUT_SECONDS,
+                                                     max_wait=MAX_EVENT_QUEUE_IDLE_TIMEOUT_SECONDS,
+                                                     backoff_factor=2.0,
+                                                     source="BroadcastConsumer",
+                                                     enable_logging=False)
         while self.__event.is_set():
-            # 使用 Condition 优化队列的等待机制，避免频繁触发超时
-            with self.__condition:
-                # 阻塞等待，直到有事件插入
-                self.__condition.wait()
-                try:
-                    priority, event = self.__event_queue.get(timeout=EVENT_QUEUE_IDLE_TIMEOUT_SECONDS)
-                    self.__dispatch_broadcast_event(event)
-                except Empty:
-                    logger.debug("Queue is empty, waiting for new events")
+            try:
+                priority, event = self.__event_queue.get(timeout=rate_limiter.current_wait)
+                rate_limiter.reset()
+                self.__dispatch_broadcast_event(event)
+            except Empty:
+                rate_limiter.current_wait = rate_limiter.current_wait * random.uniform(1, 1 + jitter_factor)
+                rate_limiter.trigger_limit()
 
     @staticmethod
     def __log_event_lifecycle(event: Event, stage: str):

app/utils/limit.py

@@ -97,7 +97,7 @@ class ExponentialBackoffRateLimiter(BaseRateLimiter):
     每次触发限流时，等待时间会成倍增加，直到达到最大等待时间
     """
 
-    def __init__(self, base_wait: int = 60, max_wait: int = 600, backoff_factor: float = 2.0,
+    def __init__(self, base_wait: float = 60.0, max_wait: float = 600.0, backoff_factor: float = 2.0,
                  source: str = "", enable_logging: bool = True):
         """
         初始化 ExponentialBackoffRateLimiter 实例
@@ -108,7 +108,7 @@ class ExponentialBackoffRateLimiter(BaseRateLimiter):
         :param enable_logging: 是否启用日志记录，默认为 True
         """
         super().__init__(source, enable_logging)
-        self.next_allowed_time = 0
+        self.next_allowed_time = 0.0
         self.current_wait = base_wait
         self.base_wait = base_wait
         self.max_wait = max_wait
@@ -144,7 +144,7 @@ class ExponentialBackoffRateLimiter(BaseRateLimiter):
         with self.lock:
             if self.next_allowed_time != 0 or self.current_wait > self.base_wait:
                 self.log_info(f"调用成功，重置限流等待时间为 {self.base_wait} 秒")
-            self.next_allowed_time = 0
+            self.next_allowed_time = 0.0
             self.current_wait = self.base_wait
 
     def trigger_limit(self):
@@ -155,8 +155,8 @@ class ExponentialBackoffRateLimiter(BaseRateLimiter):
         current_time = time.time()
         with self.lock:
             self.next_allowed_time = current_time + self.current_wait
-            self.log_warning(f"触发限流，将在 {self.current_wait} 秒后允许继续调用")
             self.current_wait = min(self.current_wait * self.backoff_factor, self.max_wait)
+            self.log_warning(f"触发限流，将在 {self.current_wait} 秒后允许继续调用")
 
 
 # 时间窗口限流器
@@ -166,7 +166,7 @@ class WindowRateLimiter(BaseRateLimiter):
     如果超过允许的最大调用次数，则限流直到窗口期结束
     """
 
-    def __init__(self, max_calls: int, window_seconds: int,
+    def __init__(self, max_calls: int, window_seconds: float,
                  source: str = "", enable_logging: bool = True):
         """
         初始化 WindowRateLimiter 实例
@@ -308,7 +308,7 @@ def rate_limit_handler(limiter: BaseRateLimiter, raise_on_limit: bool = False) -
 
 
 # 装饰器：指数退避限流
-def rate_limit_exponential(base_wait: int = 60, max_wait: int = 600, backoff_factor: float = 2.0,
+def rate_limit_exponential(base_wait: float = 60.0, max_wait: float = 600.0, backoff_factor: float = 2.0,
                            raise_on_limit: bool = False, source: str = "", enable_logging: bool = True) -> Callable:
     """
     装饰器，用于应用指数退避限流策略
@@ -329,7 +329,7 @@ def rate_limit_exponential(base_wait: int = 60, max_wait: int = 600, backoff_fac
 
 
 # 装饰器：时间窗口限流
-def rate_limit_window(max_calls: int, window_seconds: int,
+def rate_limit_window(max_calls: int, window_seconds: float,
                       raise_on_limit: bool = False, source: str = "", enable_logging: bool = True) -> Callable:
     """
     装饰器，用于应用时间窗口限流策略