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/iitQcRuleRoutes.ts

@@ -27,6 +27,9 @@ export async function iitQcRuleRoutes(fastify: FastifyInstance) {
   // 批量导入规则
   fastify.post('/:projectId/rules/import', controller.importRules);
 
+  // AI 规则建议
+  fastify.post('/:projectId/rules/suggest', controller.suggestRules);
+
   // 测试规则逻辑（不需要项目 ID）
   fastify.post('/rules/test', controller.testRule);
 }