feat(iit): Complete CRA Agent V3.0 P0 milestone - autonomous QC pipeline

P0-1: Variable list sync from REDCap metadata
P0-2: QC rule configuration with JSON Logic + AI suggestion
P0-3: Scheduled QC + report generation + eQuery closed loop
P0-4: Unified dashboard + AI stream timeline + critical events

Backend:
- Add IitEquery, IitCriticalEvent Prisma models + migration
- Add cronEnabled/cronExpression to IitProject
- Implement eQuery service/controller/routes (CRUD + respond/review/close)
- Implement DailyQcOrchestrator (report -> eQuery -> critical events -> notify)
- Add AI rule suggestion service
- Register daily QC cron worker and eQuery auto-review worker
- Extend QC cockpit with timeline, trend, critical events APIs
- Fix timeline issues field compat (object vs array format)

Frontend:
- Create IIT business module with 6 pages (Dashboard, AI Stream, eQuery,
  Reports, Variable List + project config pages)
- Migrate IIT config from admin panel to business module
- Implement health score, risk heatmap, trend chart, critical event alerts
- Register IIT module in App router and top navigation

Testing:
- Add E2E API test script covering 7 modules (46 assertions, all passing)

Tested: E2E API tests 46/46 passed, backend and frontend verified
Made-with: Cursor

backend/src/modules/admin/iit-projects/iitQcCockpitRoutes.ts

@@ -242,4 +242,13 @@ export async function iitQcCockpitRoutes(fastify: FastifyInstance) {
       },
     },
   }, iitQcCockpitController.refreshReport.bind(iitQcCockpitController));
+
+  // AI 工作时间线
+  fastify.get('/:projectId/qc-cockpit/timeline', iitQcCockpitController.getTimeline.bind(iitQcCockpitController));
+
+  // 重大事件列表
+  fastify.get('/:projectId/qc-cockpit/critical-events', iitQcCockpitController.getCriticalEvents.bind(iitQcCockpitController));
+
+  // 质控趋势（近N天通过率折线）
+  fastify.get('/:projectId/qc-cockpit/trend', iitQcCockpitController.getTrend.bind(iitQcCockpitController));
 }