feat: 2026-04-15~05-02 累积变更基线 — AI 重构 + Runtime Context + DWS 修复

涵盖（每条对应已存的审计记录）：
- AI 模块拆分：apps/backend/app/ai/apps -> prompts/（8 个 APP + app2a 派生）
  audit: 2026-04-20__ai-module-complete.md
- admin-web AI 管理套件：AIDashboard / AIOperations / AIRunLogs / AITriggers / TriggerManager
  audit: 2026-04-21__admin-web-ai-management-suite.md
- App2 财务洞察 prompt v3 -> v5.1 + 小程序 AI 接入（chat / board-finance）
  audit: 2026-04-22__app2_prompt_v5_1_and_miniprogram_ai_insight.md
- App2 prewarm 全过滤器 + AI 触发器 cron reschedule
  audit: 2026-04-21__app2-finance-prewarm-all-filters.md
  migration: 20260420_ai_trigger_jobs_and_app2_prewarm.sql / 20260421_app2_prewarm_cron_reschedule.sql
- AppType 联合类型对齐 + adminAiAppTypes.test.ts
  audit: 2026-04-30__admin_web_ai_app_type_alignment.md
- DashScope tokens_used 提取修复
  audit: 2026-04-30__backend_dashscope_tokens_used_extraction.md
- App3 线索完整详情 prompt
  audit: 2026-05-01__backend_app3_full_detail_prompt.md
- Runtime Context 沙箱（5-1~5-2 主线）：
  - 后端 schema/service + admin_runtime_context / xcx_runtime_clock 两个 router
  - admin-web RuntimeContext.tsx + miniprogram runtime-clock.ts
  - migration: 20260501__runtime_context_sandbox.sql
  - tools/db/verify_admin_web_sandbox.py + verify_sandbox_end_to_end.py
  - database/changes: 7 份 sandbox_* 验证报告
- 飞球 DWS 修复：finance_area_daily 区域汇总 + task_engine 调整
  + RLS 视图业务日上界（migration 20260502 + scripts/ops/gen_rls_business_date_migration.py）

合规：
- .gitignore 启用 tmp/ 排除
- 不入仓：apps/etl/connectors/feiqiu/.env（API_TOKEN secret，本地修改保留）

待验证清单：
- docs/audit/changes/2026-05-04__cumulative_baseline_pending_verification.md
  每个主题的功能完整性 / 上线验证几乎都未收口，按优先级 P0~P3 逐一处理

apps/backend/app/services/note_service.py

@@ -259,6 +259,28 @@ async def create_note(
         import asyncio
         asyncio.create_task(_async_ai_score(note["id"], site_id, target_id, content))
 
+        # 触发 AI 备注分析链（App6 → App8）
+        # target_type='member' 时 target_id 即 member_id；'assistant' 时不触发（AI 只分析会员备注）
+        if target_type == "member":
+            try:
+                from app.services.trigger_scheduler import fire_event
+                fire_event(
+                    "ai_note_created",
+                    {
+                        "site_id": site_id,
+                        "member_id": target_id,
+                        "note_content": content,
+                        "noted_by_name": note.get("recorded_by_name")
+                            or note.get("user_nickname") or "",
+                        "noted_by_created_at": note.get("created_at") or "",
+                    },
+                )
+            except Exception:
+                logger.exception(
+                    "触发 ai_note_created 事件失败: note_id=%s member_id=%s",
+                    note["id"], target_id,
+                )
+
         return note
 
     except HTTPException: