```

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/core/background/task_queue/__init__.py

@@ -5,10 +5,12 @@ from app.core.background.task_queue.constants import (
     TASK_PUSH_PROJECT_WEEKLY,
     TASK_SYNC_LEGACY_PROJECTS,
     TASK_SYNC_LEGACY_TASKS,
+    TASK_RUN_LIFECYCLE,
 )
 from app.core.background.task_queue.dispatcher import dispatch_task
 from app.core.background.task_queue.events import enqueue_event_dispatch
 from app.core.background.task_queue.legacy import enqueue_legacy_project_sync, enqueue_legacy_task_sync
+from app.core.background.task_queue.lifecycle import enqueue_lifecycle_report
 from app.core.background.task_queue.reports import enqueue_daily_brief_push, enqueue_project_weekly_push
 from app.core.background.task_queue.risk import enqueue_risk_event_generation
 
@@ -20,11 +22,13 @@ __all__ = [
     "TASK_PUSH_PROJECT_WEEKLY",
     "TASK_SYNC_LEGACY_PROJECTS",
     "TASK_SYNC_LEGACY_TASKS",
+    "TASK_RUN_LIFECYCLE",
     "dispatch_task",
     "enqueue_daily_brief_push",
     "enqueue_event_dispatch",
     "enqueue_legacy_project_sync",
     "enqueue_legacy_task_sync",
+    "enqueue_lifecycle_report",
     "enqueue_project_weekly_push",
     "enqueue_risk_event_generation",
 ]

app/core/background/task_queue/constants.py

@@ -4,3 +4,4 @@ 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"
+TASK_RUN_LIFECYCLE = "reports.run_lifecycle"

app/core/background/task_queue/lifecycle.py

@@ -0,0 +1,50 @@
+from typing import Any
+
+from app.core.background.task_queue.constants import TASK_RUN_LIFECYCLE
+from app.core.config import get_settings
+from app.core.constants import ActorValue
+from app.core.database import SessionLocal
+from app.modules.reports.lifecycle_pipeline import LifecyclePipelineService
+
+
+def enqueue_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:
+        service = LifecyclePipelineService(db)
+        workflow, period_key, deduplicated = service.prepare(report_type, actor, force)
+        if deduplicated:
+            return {
+                "workflow_code": workflow.code,
+                "period_key": period_key,
+                "deduplicated": True,
+                "status": workflow.status,
+            }
+        if get_settings().task_queue_enabled:
+            from app.tasks import celery_app
+
+            result = celery_app.signature(
+                TASK_RUN_LIFECYCLE,
+                kwargs={
+                    "report_type": report_type,
+                    "receive_id": receive_id,
+                    "receive_id_type": receive_id_type,
+                    "force": force,
+                    "actor": actor,
+                },
+            ).apply_async()
+            return {
+                "workflow_code": workflow.code,
+                "period_key": period_key,
+                "task_id": result.id,
+                "deduplicated": False,
+                "status": "queued",
+            }
+        return service.run(report_type, receive_id, receive_id_type, force, actor)
+    finally:
+        db.close()