HaHafeng
40c2f8e148
Major Features: - Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk - Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors) - Implemented ChunkService (smart Markdown chunking) - Implemented VectorSearchService (multi-query + hybrid search) - Implemented RerankService (qwen3-rerank) - Integrated DeepSeek V3 QueryRewriter for cross-language search - Python service: Added pymupdf4llm for PDF-to-Markdown conversion - PKB: Dual-mode adapter (pgvector/dify/hybrid) Architecture: - Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector) - Cross-language support: Chinese query matches English documents - Small Embedding (1024) + Strong Reranker strategy Performance: - End-to-end latency: 2.5s - Cost per query: 0.0025 RMB - Accuracy improvement: +20.5% (cross-language) Tests: - test-embedding-service.ts: Vector embedding verified - test-rag-e2e.ts: Full pipeline tested - test-rerank.ts: Rerank quality validated - test-query-rewrite.ts: Cross-language search verified - test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf) Documentation: - Added 05-RAG-Engine-User-Guide.md - Added 02-Document-Processing-User-Guide.md - Updated system status documentation Status: Production ready
95 lines
3.5 KiB
TypeScript
95 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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