HaHafeng
98d862dbd4
AIA V2.0 Major Updates: - Add StreamingService with OpenAI Compatible format (backend/common/streaming) - Upgrade Chat component V2 with Ant Design X deep integration - Implement 12 intelligent agents (5 phases: topic/design/review/data/writing) - Create AgentHub with 100% prototype V11 restoration - Create ChatWorkspace with fullscreen immersive experience - Add ThinkingBlock for deep thinking display - Add useAIStream Hook for stream handling - Add ConversationList for conversation management Backend (~1300 lines): - common/streaming: OpenAI adapter and streaming service - modules/aia: 12 agents config, conversation service, attachment service - Unified API routes to /api/v1 (RVW, PKB, AIA modules) - Update authentication and permission helpers Frontend (~3500 lines): - modules/aia: AgentHub + ChatWorkspace + AgentCard components - shared/Chat: AIStreamChat, ThinkingBlock, useAIStream, useConversations - Update all modules API endpoints to v1 - Modern design with theme colors (blue/yellow/teal/purple) Documentation (~2500 lines): - AIA module status and development guide - Universal capabilities catalog (11 services) - Quick reference card - System overview updates - All module documentation synchronization Other Updates: - DC Tool C: Python operations and frontend components - IIT Manager: session memory and wechat service - PKB/RVW/ASL: API route updates - Docker configs and deployment scripts - Database migrations and scripts - Test files and documentation Tested: AIA streaming verified, authentication working, core features functional Status: AIA V2.0 completed (85%), all changes synchronized
86 lines
3.5 KiB
TypeScript
86 lines
3.5 KiB
TypeScript
/**
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* 测试 Prompt 管理 API
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*
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* 启动后端后运行: npx tsx scripts/test-prompt-api.ts
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*/
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const BASE_URL = 'http://localhost:3001/api/admin/prompts';
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async function testAPI() {
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console.log('🧪 测试 Prompt 管理 API...\n');
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// 1. 获取列表
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console.log('═══════════════════════════════════════════════════════');
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console.log('📋 Test 1: GET /api/admin/prompts\n');
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const listRes = await fetch(BASE_URL);
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const listData = await listRes.json();
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console.log(` 状态: ${listRes.status}`);
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console.log(` 总数: ${listData.total}`);
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console.log(` Prompts:`);
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for (const p of listData.data || []) {
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console.log(` - ${p.code} (${p.name}) v${p.latestVersion?.version || 0}`);
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}
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// 2. 获取详情
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console.log('\n═══════════════════════════════════════════════════════');
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console.log('📋 Test 2: GET /api/admin/prompts/RVW_EDITORIAL\n');
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const detailRes = await fetch(`${BASE_URL}/RVW_EDITORIAL`);
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const detailData = await detailRes.json();
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console.log(` 状态: ${detailRes.status}`);
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console.log(` Code: ${detailData.data?.code}`);
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console.log(` Name: ${detailData.data?.name}`);
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console.log(` 版本数: ${detailData.data?.versions?.length || 0}`);
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// 3. 测试渲染
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console.log('\n═══════════════════════════════════════════════════════');
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console.log('📋 Test 3: POST /api/admin/prompts/test-render\n');
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const renderRes = await fetch(`${BASE_URL}/test-render`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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content: '你好，{{name}}！请评估标题：{{title}}',
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variables: { name: '张三', title: '测试标题' },
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}),
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});
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const renderData = await renderRes.json();
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console.log(` 状态: ${renderRes.status}`);
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console.log(` 渲染结果: ${renderData.data?.rendered}`);
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console.log(` 提取变量: [${renderData.data?.extractedVariables?.join(', ')}]`);
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console.log(` 校验结果: ${renderData.data?.validation?.isValid ? '✅ 通过' : '❌ 缺少变量'}`);
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// 4. 按模块筛选
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console.log('\n═══════════════════════════════════════════════════════');
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console.log('📋 Test 4: GET /api/admin/prompts?module=RVW\n');
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const rvwRes = await fetch(`${BASE_URL}?module=RVW`);
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const rvwData = await rvwRes.json();
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console.log(` 状态: ${rvwRes.status}`);
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console.log(` RVW模块Prompt数: ${rvwData.total}`);
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for (const p of rvwData.data || []) {
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console.log(` - ${p.code}`);
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}
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// 5. 获取调试状态（无认证，预期返回401）
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console.log('\n═══════════════════════════════════════════════════════');
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console.log('📋 Test 5: GET /api/admin/prompts/debug (无认证)\n');
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const debugRes = await fetch(`${BASE_URL}/debug`);
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const debugData = await debugRes.json();
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console.log(` 状态: ${debugRes.status}`);
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console.log(` 响应: ${JSON.stringify(debugData)}`);
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console.log('\n✅ API 测试完成！');
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}
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testAPI().catch(console.error);
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