Files
AIclinicalresearch/backend/check_iit_asl_data.ts
HaHafeng 57fdc6ef00 feat(aia): Integrate PromptService for 10 AI agents
Features:
- Migrate 10 agent prompts from hardcoded to database
- Add grayscale preview support (DRAFT/ACTIVE distribution)
- Implement 3-tier fallback (DB -> Cache -> Hardcoded)
- Add version management and rollback capability

Files changed:
- backend/scripts/migrate-aia-prompts.ts (new migration script)
- backend/src/common/prompt/prompt.fallbacks.ts (add AIA fallbacks)
- backend/src/modules/aia/services/agentService.ts (integrate PromptService)
- backend/src/modules/aia/services/conversationService.ts (pass userId)
- backend/src/modules/aia/types/index.ts (fix AgentStage type)

Documentation:
- docs/03-业务模块/AIA-AI智能问答/06-开发记录/2026-01-18-Prompt管理系统集成.md
- docs/02-通用能力层/00-通用能力层清单.md (add FileCard, Prompt management)
- docs/00-系统总体设计/00-系统当前状态与开发指南.md (update to v3.6)

Prompt codes:
- AIA_SCIENTIFIC_QUESTION, AIA_PICO_ANALYSIS, AIA_TOPIC_EVALUATION
- AIA_OUTCOME_DESIGN, AIA_CRF_DESIGN, AIA_SAMPLE_SIZE
- AIA_PROTOCOL_WRITING, AIA_METHODOLOGY_REVIEW
- AIA_PAPER_POLISH, AIA_PAPER_TRANSLATE

Tested: Migration script executed, all 10 prompts inserted successfully
2026-01-18 15:48:53 +08:00

82 lines
3.0 KiB
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function main() {
console.log('🔍 检查 IIT 和 ASL 模块的数据\n');
console.log('=' .repeat(60));
// IIT 模块
console.log('\n📋 IIT 模块 (iit_schema):\n');
const iitTables = [
{ name: 'projects', query: 'SELECT COUNT(*) as count FROM iit_schema.projects' },
{ name: 'audit_logs', query: 'SELECT COUNT(*) as count FROM iit_schema.audit_logs' },
{ name: 'pending_actions', query: 'SELECT COUNT(*) as count FROM iit_schema.pending_actions' },
{ name: 'task_runs', query: 'SELECT COUNT(*) as count FROM iit_schema.task_runs' },
{ name: 'user_mappings', query: 'SELECT COUNT(*) as count FROM iit_schema.user_mappings' },
];
for (const t of iitTables) {
const result: any = await prisma.$queryRawUnsafe(t.query);
const count = Number(result[0].count);
console.log(` ${t.name}: ${count} 条记录 ${count > 0 ? '✅' : '(空)'}`);
}
// 如果有数据,显示一些详情
const iitProjects: any[] = await prisma.$queryRaw`SELECT id, name, status, created_at FROM iit_schema.projects LIMIT 5`;
if (iitProjects.length > 0) {
console.log('\n 最近的 IIT 项目:');
iitProjects.forEach(p => console.log(` - ${p.name} (${p.status}) @ ${p.created_at}`));
}
// ASL 模块(智能文献筛选)
console.log('\n\n📋 ASL 模块 - 智能文献筛选 (asl_schema):\n');
const aslTables = [
{ name: 'screening_projects', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_projects' },
{ name: 'literatures', query: 'SELECT COUNT(*) as count FROM asl_schema.literatures' },
{ name: 'screening_tasks', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_tasks' },
{ name: 'screening_results', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_results' },
{ name: 'fulltext_screening_tasks', query: 'SELECT COUNT(*) as count FROM asl_schema.fulltext_screening_tasks' },
{ name: 'fulltext_screening_results', query: 'SELECT COUNT(*) as count FROM asl_schema.fulltext_screening_results' },
];
for (const t of aslTables) {
const result: any = await prisma.$queryRawUnsafe(t.query);
const count = Number(result[0].count);
console.log(` ${t.name}: ${count} 条记录 ${count > 0 ? '✅' : '(空)'}`);
}
// 如果有数据,显示一些详情
const aslProjects: any[] = await prisma.$queryRaw`SELECT id, project_name, status, created_at FROM asl_schema.screening_projects LIMIT 5`;
if (aslProjects.length > 0) {
console.log('\n 最近的 ASL 项目:');
aslProjects.forEach(p => console.log(` - ${p.project_name} (${p.status}) @ ${p.created_at}`));
}
const literatures: any[] = await prisma.$queryRaw`SELECT id, title, stage FROM asl_schema.literatures LIMIT 5`;
if (literatures.length > 0) {
console.log('\n 最近的文献:');
literatures.forEach(l => console.log(` - ${l.title?.substring(0, 50)}... (${l.stage})`));
}
console.log('\n' + '=' .repeat(60));
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());