HaHafeng
beb7f7f559
Core Components: - PDFStorageService with Dify/OSS adapters - LLM12FieldsService with Nougat-first + dual-model + 3-layer JSON parsing - PromptBuilder for dynamic prompt assembly - MedicalLogicValidator with 5 rules + fault tolerance - EvidenceChainValidator for citation integrity - ConflictDetectionService for dual-model comparison Prompt Engineering: - System Prompt (6601 chars, Section-Aware strategy) - User Prompt template (PICOS context injection) - JSON Schema (12 fields constraints) - Cochrane standards (not loaded in MVP) Key Innovations: - 3-layer JSON parsing (JSON.parse + json-repair + code block extraction) - Promise.allSettled for dual-model fault tolerance - safeGetFieldValue for robust field extraction - Mixed CN/EN token calculation Integration Tests: - integration-test.ts (full test) - quick-test.ts (quick test) - cached-result-test.ts (fault tolerance test) Documentation Updates: - Development record (Day 2-3 summary) - Quality assurance strategy (full-text screening) - Development plan (progress update) - Module status (v1.1 update) - Technical debt (10 new items) Test Results: - JSON parsing success rate: 100% - Medical logic validation: 5/5 passed - Dual-model parallel processing: OK - Cost per PDF: CNY 0.10 Files: 238 changed, 14383 insertions(+), 32 deletions(-) Docs: docs/03-涓氬姟妯″潡/ASL-AI鏅鸿兘鏂囩尞/05-寮€鍙戣褰?2025-11-22_Day2-Day3_LLM鏈嶅姟涓庨獙璇佺郴缁熷紑鍙?md
140 lines
3.3 KiB
TypeScript
140 lines
3.3 KiB
TypeScript
/**
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* 测试JSON解析器的修复效果
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*
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* 测试目的：验证中文引号等格式问题是否能被正确处理
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*/
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import { parseJSON } from '../src/common/utils/jsonParser.js';
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console.log('\n🧪 JSON解析器修复测试\n');
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// 测试用例
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const testCases = [
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{
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name: '正常JSON（ASCII引号）',
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input: '{"conclusion": "exclude", "confidence": 0.95}',
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expectSuccess: true
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},
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{
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name: '中文引号JSON',
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input: '{"conclusion": "exclude", "confidence": 0.95}',
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expectSuccess: true
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},
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{
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name: '混合引号JSON',
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input: '{"conclusion": "exclude", "confidence": 0.95}',
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expectSuccess: true
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},
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{
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name: 'JSON代码块（中文引号）',
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input: `\`\`\`json
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{
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"judgment": {
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"P": "match",
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"I": "match"
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},
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"conclusion": "include",
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"confidence": 0.85,
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"reason": "虽然对照组不是安慰剂，但研究质量高"
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}
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\`\`\``,
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expectSuccess: true
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},
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{
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name: '带额外文字的JSON',
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input: `这是筛选结果：
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\`\`\`json
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{"conclusion": "exclude", "confidence": 0.90}
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\`\`\`
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以上是我的判断。`,
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expectSuccess: true
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},
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{
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name: '全角逗号和冒号',
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input: '{"conclusion"："exclude"，"confidence"：0.95}',
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expectSuccess: true
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},
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{
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name: '不完整的JSON（应失败）',
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input: '{"conclusion": "exclude", "confidence":',
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expectSuccess: false
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},
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{
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name: '非JSON文本（应失败）',
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input: 'This is not a JSON string at all.',
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expectSuccess: false
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},
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{
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name: '复杂嵌套JSON（中文引号）',
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input: `{
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"judgment": {
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"P": "match",
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"I": "partial",
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"C": "mismatch",
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"S": "match"
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},
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"evidence": {
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"P": "研究对象为急性缺血性卒中患者",
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"I": "干预措施为替格瑞洛",
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"C": "对照组为氯吡格雷而非安慰剂",
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"S": "随机对照试验"
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},
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"conclusion": "exclude",
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"confidence": 0.92,
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"reason": "虽然P、I、S维度匹配，但对照组不符合要求"
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}`,
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expectSuccess: true
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}
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];
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// 运行测试
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let passed = 0;
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let failed = 0;
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testCases.forEach((testCase, index) => {
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console.log(`[测试 ${index + 1}/${testCases.length}] ${testCase.name}`);
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const result = parseJSON(testCase.input);
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const success = result.success === testCase.expectSuccess;
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if (success) {
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console.log(' ✅ 通过');
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if (result.success) {
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console.log(` 📄 解析结果: ${JSON.stringify(result.data).substring(0, 100)}...`);
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}
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passed++;
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} else {
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console.log(' ❌ 失败');
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console.log(` 期望: ${testCase.expectSuccess ? '成功' : '失败'}`);
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console.log(` 实际: ${result.success ? '成功' : '失败'}`);
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if (!result.success) {
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console.log(` 错误: ${result.error}`);
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}
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failed++;
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}
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console.log('');
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});
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// 总结
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console.log('='.repeat(60));
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console.log('📊 测试总结\n');
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console.log(`✅ 通过: ${passed}/${testCases.length}`);
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console.log(`❌ 失败: ${failed}/${testCases.length}`);
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console.log(`📈 成功率: ${(passed / testCases.length * 100).toFixed(1)}%`);
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if (passed === testCases.length) {
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console.log('\n🎉 所有测试通过！JSON解析器修复成功！');
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} else {
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console.log('\n⚠️ 部分测试失败，需要进一步调试。');
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}
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console.log('='.repeat(60) + '\n');
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