Files
AIclinicalresearch/backend/scripts/create-tool-c-ai-history-table.mjs
HaHafeng 5523ef36ea feat(admin): Complete Phase 3.5.1-3.5.4 Prompt Management System (83%)
Summary:
- Implement Prompt management infrastructure and core services
- Build admin portal frontend with light theme
- Integrate CodeMirror 6 editor for non-technical users

Phase 3.5.1: Infrastructure Setup
- Create capability_schema for Prompt storage
- Add prompt_templates and prompt_versions tables
- Add prompt:view/edit/debug/publish permissions
- Migrate RVW prompts to database (RVW_EDITORIAL, RVW_METHODOLOGY)

Phase 3.5.2: PromptService Core
- Implement gray preview logic (DRAFT for debuggers, ACTIVE for users)
- Module-level debug control (setDebugMode)
- Handlebars template rendering
- Variable extraction and validation (extractVariables, validateVariables)
- Three-level disaster recovery (database -> cache -> hardcoded fallback)

Phase 3.5.3: Management API
- 8 RESTful endpoints (/api/admin/prompts/*)
- Permission control (PROMPT_ENGINEER can edit, SUPER_ADMIN can publish)

Phase 3.5.4: Frontend Management UI
- Build admin portal architecture (AdminLayout, OrgLayout)
- Add route system (/admin/*, /org/*)
- Implement PromptListPage (filter, search, debug switch)
- Implement PromptEditor (CodeMirror 6 simplified for clinical users)
- Implement PromptEditorPage (edit, save, publish, test, version history)

Technical Details:
- Backend: 6 files, ~2044 lines (prompt.service.ts 596 lines)
- Frontend: 9 files, ~1735 lines (PromptEditorPage.tsx 399 lines)
- CodeMirror 6: Line numbers, auto-wrap, variable highlight, search, undo/redo
- Chinese-friendly: 15px font, 1.8 line-height, system fonts

Next Step: Phase 3.5.5 - Integrate RVW module with PromptService

Tested: Backend API tests passed (8/8), Frontend pending user testing
Status: Ready for Phase 3.5.5 RVW integration
2026-01-11 21:25:16 +08:00

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JavaScript
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/**
* 创建 Tool C AI对话历史表
*
* 执行方式node scripts/create-tool-c-ai-history-table.mjs
*/
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function createAiHistoryTable() {
console.log('========================================');
console.log('开始创建 Tool C AI对话历史表');
console.log('========================================\n');
try {
// 1. 检查表是否已存在
console.log('[1/4] 检查表是否已存在...');
const checkResult = await prisma.$queryRawUnsafe(`
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'dc_schema'
AND table_name = 'dc_tool_c_ai_history'
) as exists
`);
const tableExists = checkResult[0].exists;
if (tableExists) {
console.log('✅ 表已存在: dc_schema.dc_tool_c_ai_history');
console.log('\n如需重新创建请手动执行: DROP TABLE dc_schema.dc_tool_c_ai_history CASCADE;\n');
return;
}
console.log('✅ 表不存在,准备创建\n');
// 2. 创建表
console.log('[2/4] 创建表 dc_tool_c_ai_history...');
await prisma.$executeRawUnsafe(`
CREATE TABLE dc_schema.dc_tool_c_ai_history (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
session_id VARCHAR(255) NOT NULL,
user_id VARCHAR(255) NOT NULL,
role VARCHAR(50) NOT NULL,
content TEXT NOT NULL,
-- Tool C特有字段
generated_code TEXT,
code_explanation TEXT,
execute_status VARCHAR(50),
execute_result JSONB,
execute_error TEXT,
retry_count INTEGER DEFAULT 0,
-- LLM相关
model VARCHAR(100),
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
)
`);
console.log('✅ 表创建成功\n');
// 3. 创建索引
console.log('[3/4] 创建索引...');
await prisma.$executeRawUnsafe(`
CREATE INDEX idx_dc_tool_c_ai_history_session_id
ON dc_schema.dc_tool_c_ai_history(session_id)
`);
await prisma.$executeRawUnsafe(`
CREATE INDEX idx_dc_tool_c_ai_history_user_id
ON dc_schema.dc_tool_c_ai_history(user_id)
`);
await prisma.$executeRawUnsafe(`
CREATE INDEX idx_dc_tool_c_ai_history_created_at
ON dc_schema.dc_tool_c_ai_history(created_at)
`);
console.log('✅ 索引创建成功\n');
// 4. 添加注释
console.log('[4/4] 添加表注释...');
await prisma.$executeRawUnsafe(`
COMMENT ON TABLE dc_schema.dc_tool_c_ai_history
IS 'Tool C (科研数据编辑器) AI对话历史表'
`);
await prisma.$executeRawUnsafe(`
COMMENT ON COLUMN dc_schema.dc_tool_c_ai_history.session_id
IS '关联Tool C Session ID'
`);
await prisma.$executeRawUnsafe(`
COMMENT ON COLUMN dc_schema.dc_tool_c_ai_history.generated_code
IS 'AI生成的Pandas代码'
`);
await prisma.$executeRawUnsafe(`
COMMENT ON COLUMN dc_schema.dc_tool_c_ai_history.execute_status
IS '执行状态: pending/success/failed'
`);
await prisma.$executeRawUnsafe(`
COMMENT ON COLUMN dc_schema.dc_tool_c_ai_history.retry_count
IS '自我修正重试次数'
`);
console.log('✅ 注释添加成功\n');
// 5. 验证表创建
console.log('========================================');
console.log('验证表结构');
console.log('========================================\n');
const columns = await prisma.$queryRawUnsafe(`
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_schema = 'dc_schema'
AND table_name = 'dc_tool_c_ai_history'
ORDER BY ordinal_position
`);
console.log('表结构:');
console.table(columns);
const indexes = await prisma.$queryRawUnsafe(`
SELECT indexname, indexdef
FROM pg_indexes
WHERE schemaname = 'dc_schema'
AND tablename = 'dc_tool_c_ai_history'
`);
console.log('\n索引:');
console.table(indexes);
console.log('\n========================================');
console.log('🎉 Tool C AI对话历史表创建成功');
console.log('========================================\n');
console.log('表名: dc_schema.dc_tool_c_ai_history');
console.log(`列数: ${columns.length}`);
console.log(`索引数: ${indexes.length}\n`);
} catch (error) {
console.error('\n❌ 创建表失败:', error.message);
console.error('\n详细错误:');
console.error(error);
process.exit(1);
} finally {
await prisma.$disconnect();
}
}
// 执行
createAiHistoryTable()
.then(() => {
console.log('脚本执行完成');
process.exit(0);
})
.catch((error) => {
console.error('脚本执行失败:', error);
process.exit(1);
});