```

feat: 添加生命周期报告和AI规则管理功能

- 在Dockerfile中添加pillow依赖包用于图像处理
- 实现生命周期报告调度任务，支持日报和周报两种类型
- 新增TASK_RUN_LIFECYCLE任务常量和相关配置选项
- 扩展AI Agent服务以支持用户规则，并在分析时应用规则
- 添加AI用户规则创建、更新和查询接口
- 增加项目生命周期和财务需求分析技能
- 扩展现有模型以支持更完整的业务数据字段
- 实现飞书图片上传功能用于报告展示
```

app/tasks/__init__.py

@@ -1,6 +1,7 @@
 from app.tasks.app import celery_app
 from app.tasks import events as _events  # noqa: F401
 from app.tasks import legacy as _legacy  # noqa: F401
+from app.tasks import lifecycle as _lifecycle  # noqa: F401
 from app.tasks import reports as _reports  # noqa: F401
 from app.tasks import risk as _risk  # noqa: F401
 

app/tasks/lifecycle.py

@@ -0,0 +1,33 @@
+from typing import Any
+
+from app.core.background.task_queue.constants import TASK_RUN_LIFECYCLE
+from app.core.constants import ActorValue
+from app.core.database import SessionLocal
+from app.modules.reports.lifecycle_pipeline import LifecyclePipelineService
+from app.tasks.app import celery_app
+
+
+@celery_app.task(
+    name=TASK_RUN_LIFECYCLE,
+    autoretry_for=(Exception,),
+    retry_backoff=True,
+    retry_kwargs={"max_retries": 3},
+)
+def run_lifecycle_report(
+    report_type: str,
+    receive_id: str | None = None,
+    receive_id_type: str = "chat_id",
+    force: bool = False,
+    actor: str = ActorValue.SCHEDULER,
+) -> dict[str, Any]:
+    db = SessionLocal()
+    try:
+        return LifecyclePipelineService(db).run(
+            report_type,
+            receive_id,
+            receive_id_type,
+            force,
+            actor,
+        )
+    finally:
+        db.close()