```

feat: 添加仪表板路由和响应数据脱敏功能

- 添加了仪表板模块路由并集成到主路由器中
- 实现了敏感数据响应脱敏配置和功能
- 增加了 Feishu 审批卡片操作处理功能
- 支持通过任务队列异步推送日常简报和项目周报
- 添加了风险事件生成的任务队列支持
- 在 smoke 测试中增加了相关功能验证

refactor: 格式化模型注册模块导入列表

- 将单行导入列表改为多行格式以提高可读性
```

app/tasks.py

@@ -0,0 +1,60 @@
+from typing import Any
+
+from celery import Celery
+
+from app.core.config import get_settings
+from app.core.constants import ActorValue
+from app.core.database import SessionLocal
+from app.modules.feishu.constants import FeishuReceiveIdType
+
+settings = get_settings()
+
+celery_app = Celery(
+    "company_ai_platform",
+    broker=settings.redis_url,
+    backend=settings.celery_result_backend_url or settings.redis_url,
+)
+celery_app.conf.task_always_eager = settings.task_queue_always_eager
+
+
+@celery_app.task(name="reports.push_daily_brief")
+def push_daily_brief(
+    receive_id: str | None = None,
+    receive_id_type: str = FeishuReceiveIdType.CHAT_ID,
+    actor: str = ActorValue.SCHEDULER,
+) -> dict[str, Any]:
+    from app.modules.reports.service import ReportService
+
+    db = SessionLocal()
+    try:
+        report = ReportService(db).daily_brief()
+        return ReportService(db).push_report(report, receive_id, receive_id_type, actor)
+    finally:
+        db.close()
+
+
+@celery_app.task(name="reports.push_project_weekly")
+def push_project_weekly(
+    receive_id: str | None = None,
+    receive_id_type: str = FeishuReceiveIdType.CHAT_ID,
+    actor: str = ActorValue.SCHEDULER,
+) -> dict[str, Any]:
+    from app.modules.reports.service import ReportService
+
+    db = SessionLocal()
+    try:
+        report = ReportService(db).project_weekly()
+        return ReportService(db).push_report(report, receive_id, receive_id_type, actor)
+    finally:
+        db.close()
+
+
+@celery_app.task(name="risks.generate_events")
+def generate_risk_events(actor: str = ActorValue.SCHEDULER) -> dict[str, Any]:
+    from app.modules.risk.service import RiskService
+
+    db = SessionLocal()
+    try:
+        return RiskService(db).generate_events(actor=actor)
+    finally:
+        db.close()