```

feat: 添加AI记忆模块和事件调度系统

- 新增AI记忆模块，支持本地记忆召回和自动写入功能
- 实现事件调度系统，支持批量处理待定事件和重试机制
- 集成心跳监控机制，跟踪API、调度器和工作节点状态
- 扩展仪表板数据统计，包含AI记忆条目和心跳概要
- 添加企业运营分析报告功能，提供财务、采购等多维度分析
- 更新配置设置，增加事件调度和AI记忆相关参数
- 优化任务队列，添加事件分发任务类型
- 扩展审计日志，记录AI记忆操作和事件调度行为
- 实现领域事件模型，支持事件持久化和状态管理
- 添加观察性服务，监控系统组件健康状况
```

app/core/task_queue.py

@@ -9,6 +9,7 @@ TASK_PUSH_PROJECT_WEEKLY = "reports.push_project_weekly"
 TASK_GENERATE_RISK_EVENTS = "risks.generate_events"
 TASK_SYNC_LEGACY_PROJECTS = "legacy.sync_projects"
 TASK_SYNC_LEGACY_TASKS = "legacy.sync_tasks"
+TASK_DISPATCH_PENDING_EVENTS = "events.dispatch_pending"
 
 
 def dispatch_task(
@@ -191,6 +192,31 @@ def enqueue_risk_event_generation(actor: str = "scheduler") -> dict[str, Any]:
     )
 
 
+def enqueue_event_dispatch(
+    limit: int | None = None,
+    actor: str = "scheduler",
+) -> dict[str, Any]:
+    def inline() -> Any:
+        from app.core.config import get_settings
+        from app.core.database import SessionLocal
+        from app.modules.events.service import EventService
+
+        db = SessionLocal()
+        try:
+            return EventService(db).dispatch_pending(
+                limit=limit or get_settings().event_dispatch_batch_size,
+                worker_id=actor,
+            )
+        finally:
+            db.close()
+
+    return dispatch_task(
+        TASK_DISPATCH_PENDING_EVENTS,
+        {"limit": limit, "actor": actor},
+        inline,
+    )
+
+
 def enqueue_legacy_project_sync(
     source_query: str | None = None,
     source_query_name: str | None = None,