P1-01: WorkerModule imports AiJobModule → AI_JOB_EXECUTION_ENGINE resolved
→ AiInteractiveJobWorker can execute Unified Jobs (not silently skip)
P1-02: Engine PROJECT phase wrapped in try-catch → incrementProjectorFailed
on ActiveRecall projector errors (independent of executor failures)
P2-01: E2E beforeAll fail() → throw new Error() → no ReferenceError risk
Observability coverage after fix:
- Creation: incrementUnifiedRequests, logRequest, logJobCreated, logJobCreateFailed ✅
- Execute success: incrementUnifiedExecuteSuccess, logExecutionCompleted ✅
- Execute failure: incrementUnifiedExecuteFailed, incrementUnifiedRetry, logExecutionFailed ✅
- Projector failure: incrementProjectorFailed ✅ (NEW)
Co-Authored-By: Claude <noreply@anthropic.com>
422 lines
18 KiB
TypeScript
422 lines
18 KiB
TypeScript
import { Test, TestingModule } from '@nestjs/testing';
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import { INestApplication, ValidationPipe } from '@nestjs/common';
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import { JwtService } from '@nestjs/jwt';
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import request from 'supertest';
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import * as net from 'net';
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import { AppModule } from '../src/app.module';
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import { PrismaService } from '../src/infrastructure/database/prisma.service';
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import { AiJobCreationService } from '../src/modules/ai-job/ai-job-creation.service';
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import { JobDefinitionRegistry } from '../src/modules/ai-job/job-definition-registry';
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import { AiJobLifecycleRepository } from '../src/modules/ai-job/ai-job-lifecycle.repository';
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import { AiJobStateMachine } from '../src/modules/ai-job/ai-job-state-machine';
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import type { AiJob } from '@prisma/client';
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/**
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* M-AI-04-07: Active Recall 真实业务 E2E
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*
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* 核心阻断场景(12 场景全部覆盖):
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* 1. Legacy 模式原链路仍成功
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* 2. Unified 模式完整成功(HTTP → Job + Snapshot + Outbox)
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* 3. 重复提交返回同一 Job(幂等)
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* 4. 重复消费不产生重复结果(Engine 直接调用验证)
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* 5. 用户不能提交其他用户的 Active Recall(P0)
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* 6. Provider 永久失败后 Job failed — 由 ai-job-execution-engine.spec.ts 覆盖
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* 7. Unified 创建事务失败不产生孤儿数据
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* 8. Projector 失败不产生部分结果 — 由 active-recall-projector.spec.ts 覆盖
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* 9. Feature Flag 切回 Legacy 后新请求走旧链路
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* 10. Unified 失败不会自动执行 Legacy
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* 11. 旧查询接口可读取 Unified 结果
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* 12. 公开错误不泄露内部信息
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*/
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const userId = 'm-ai-04-e2e-user';
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const userId2 = 'm-ai-04-e2e-user-2';
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const OLD_ENV = { ...process.env };
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async function checkInfra(): Promise<boolean> {
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const dbUrl = process.env.DATABASE_URL || '';
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const redisUrl = process.env.REDIS_URL || 'redis://localhost:6379';
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const dbMatch = dbUrl.match(/@([^:]+):(\d+)/);
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const dbHost = dbMatch?.[1] || '127.0.0.1';
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const dbPort = parseInt(dbMatch?.[2] || '3306', 10);
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const redisMatch = redisUrl.match(/@?([^:]+):(\d+)/);
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const redisHost = redisMatch?.[1] || '127.0.0.1';
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const redisPort = parseInt(redisMatch?.[2] || '6379', 10);
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const checkPort = (host: string, port: number): Promise<boolean> =>
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new Promise((resolve) => {
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const sock = new net.Socket();
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sock.setTimeout(2000);
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sock.on('connect', () => { sock.destroy(); resolve(true); });
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sock.on('error', () => resolve(false));
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sock.on('timeout', () => { sock.destroy(); resolve(false); });
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sock.connect(port, host);
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});
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const [mysqlOk, redisOk] = await Promise.all([
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checkPort(dbHost, dbPort),
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checkPort(redisHost, redisPort),
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]);
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return mysqlOk && redisOk;
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}
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describe('M-AI-04 Active Recall E2E (real infra)', () => {
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let app: INestApplication;
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let prisma: PrismaService;
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let creationService: AiJobCreationService;
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let registry: JobDefinitionRegistry;
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let lifecycleRepo: AiJobLifecycleRepository;
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let jwtService: JwtService;
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let userToken: string;
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let userToken2: string;
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let infraAvailable = false;
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let testQuestionId: string;
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beforeAll(async () => {
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infraAvailable = await checkInfra();
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if (!infraAvailable) {
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throw new Error(
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'[M-AI-04 E2E] MySQL/Redis not available — E2E tests require real infrastructure.\n' +
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'Run: docker start mysql redis\n' +
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'This is a HARD FAIL: core scenarios must not silently skip.',
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);
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}
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process.env.NODE_ENV = 'test';
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process.env.AI_JOB_SYNTHETIC_ENABLED = 'true';
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process.env.JWT_SECRET = 'm-ai-04-e2e-jwt-secret';
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const module: TestingModule = await Test.createTestingModule({
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imports: [AppModule],
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}).compile();
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app = module.createNestApplication();
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app.setGlobalPrefix('api', { exclude: ['admin-api/(.*)', 'internal/(.*)'] });
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app.useGlobalPipes(new ValidationPipe({ transform: true }));
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await app.init();
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prisma = module.get(PrismaService);
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creationService = module.get(AiJobCreationService);
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registry = module.get(JobDefinitionRegistry);
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lifecycleRepo = module.get(AiJobLifecycleRepository);
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jwtService = module.get(JwtService);
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userToken = jwtService.sign({ sub: userId, id: userId, email: 'e2e@test.com', role: 'USER', type: 'user' });
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userToken2 = jwtService.sign({ sub: userId2, id: userId2, email: 'e2e2@test.com', role: 'USER', type: 'user' });
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// 创建测试数据
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const q = await prisma.activeRecallQuestion.create({
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data: { userId, knowledgeItemId: null, questionText: 'E2E 测试问题:什么是知识检索增强生成?', difficulty: 'normal', createdBy: 'ai' },
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});
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testQuestionId = q.id;
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// 启用 Unified FeatureFlag
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await prisma.featureFlag.upsert({
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where: { name: 'ACTIVE_RECALL_ENGINE_MODE' },
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create: { name: 'ACTIVE_RECALL_ENGINE_MODE', enabled: true },
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update: { enabled: true },
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});
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}, 30000);
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afterAll(async () => {
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process.env = OLD_ENV;
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if (app) {
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// 清理测试数据
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if (infraAvailable && testQuestionId) {
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try {
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await prisma.featureFlag.update({ where: { name: 'ACTIVE_RECALL_ENGINE_MODE' }, data: { enabled: false } });
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} catch {}
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try {
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await prisma.activeRecallQuestion.delete({ where: { id: testQuestionId } });
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} catch {}
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}
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await app.close();
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}
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 2: Unified 模式完整成功
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// ═══════════════════════════════════════════════════════════
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describe('场景 2: Unified 模式完整成功', () => {
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it('HTTP → Job + Snapshot + Outbox 同事务', async () => {
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const res = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: 'RAG 是将检索系统与生成模型结合的技术。' })
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.expect(201);
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expect(res.body.engine).toBe('unified');
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expect(res.body.jobId).toBeTruthy();
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const jobId = res.body.jobId;
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// 验证 AiJob 已创建
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const job = await prisma.aiJob.findUnique({ where: { id: jobId } });
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expect(job).toBeTruthy();
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expect(job!.jobType).toBe('active_recall');
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expect(job!.lifecycleStatus).toBe('queued');
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expect(job!.targetType).toBe('active_recall_answer');
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expect(job!.targetId).toBe(res.body.id); // answerId
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// 验证 Snapshot 已创建
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const snap = await prisma.aiJobSnapshot.findUnique({ where: { jobId } });
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expect(snap).toBeTruthy();
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expect(snap!.schemaVersion).toBe('active-recall-v1');
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const content = snap!.content as any;
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expect(content.snapshot.userId).toBe(userId);
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expect(content.snapshot.questionText).toContain('E2E 测试问题');
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// 验证 OutboxEvent 已创建
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const outbox = await (prisma as any).outboxEvent.findFirst({ where: { aggregateId: jobId } });
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expect(outbox).toBeTruthy();
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expect(outbox.eventType).toBe('ai.job.enqueue');
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// 验证 Snapshot 不含敏感字段
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const serialized = JSON.stringify(content);
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expect(serialized).not.toContain('"Authorization"');
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expect(serialized).not.toContain('"JWT"');
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expect(serialized).not.toContain('"apiKey"');
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 3: 重复提交幂等
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// ═══════════════════════════════════════════════════════════
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describe('场景 3: 重复提交幂等', () => {
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it('相同 answer 重复提交返回相同 jobId', async () => {
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const res1 = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: '幂等测试答案' })
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.expect(201);
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const res2 = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: '幂等测试答案' })
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.expect(201);
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// 两次提交产生不同 answerId(每次 createAnswer),所以不同 jobId
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// 但每份 answer 各自幂等——重复提交同一 answerId 返回同一 jobId
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// 用 AiJobCreationService 直接验证幂等
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expect(res1.body.jobId).toBeTruthy();
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expect(res2.body.jobId).toBeTruthy();
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// 通过 CreationService 直接验证幂等(相同 idempotencyKey → 相同 jobId)
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const job1 = await creationService.createJob({
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userId,
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jobType: 'active_recall',
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triggerType: 'user_api',
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targetType: 'active_recall_answer',
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targetId: 'idem-test-answer',
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idempotencyKey: 'active-recall:idem-test-answer',
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});
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const job2 = await creationService.createJob({
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userId,
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jobType: 'active_recall',
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triggerType: 'user_api',
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targetType: 'active_recall_answer',
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targetId: 'idem-test-answer',
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idempotencyKey: 'active-recall:idem-test-answer',
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});
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expect(job1.id).toBe(job2.id); // 幂等返回同一 Job
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 5: P0 跨用户所有权
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// ═══════════════════════════════════════════════════════════
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describe('场景 5: P0 跨用户所有权', () => {
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it('用户 A 提交用户 B 的问题 → 403 Forbidden', async () => {
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const res = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken2}`) // userToken2 != question.userId
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.send({ answerText: '尝试提交别人的问题' });
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expect(res.status).toBe(403);
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expect(res.body.message).toContain('无权');
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 1: Legacy 模式
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// ═══════════════════════════════════════════════════════════
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describe('场景 1 & 9: Legacy 模式 / FeatureFlag 回滚', () => {
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it('FeatureFlag 禁用后走 Legacy 路径', async () => {
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// 禁用 Unified
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await prisma.featureFlag.update({ where: { name: 'ACTIVE_RECALL_ENGINE_MODE' }, data: { enabled: false } });
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const res = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: 'legacy test' })
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.expect(201);
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expect(res.body.engine).toBe('legacy');
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expect(res.body.jobId).toBeTruthy();
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// 恢复 Unified
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await prisma.featureFlag.update({ where: { name: 'ACTIVE_RECALL_ENGINE_MODE' }, data: { enabled: true } });
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 10: Unified 失败不自动降级
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// ═══════════════════════════════════════════════════════════
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describe('场景 10: Unified 失败不自动降级', () => {
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it('不存在的问题 → 404,不 fallback legacy', async () => {
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const res = await request(app.getHttpServer())
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.post('/api/active-recalls/nonexistent-id/submit')
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: 'test' })
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.expect(404);
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expect(res.body.message).toContain('不存在');
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 11: 旧查询兼容
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// ═══════════════════════════════════════════════════════════
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describe('场景 11: 旧查询兼容', () => {
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it('GET /api/active-recalls 返回问题列表', async () => {
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const res = await request(app.getHttpServer())
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.get('/api/active-recalls')
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.set('Authorization', `Bearer ${userToken}`)
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.expect(200);
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expect(Array.isArray(res.body)).toBe(true);
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});
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it('GET /api/ai/jobs/:id 可查询 Uunified Job 状态', async () => {
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// 先通过 Unified 创建一个 Job
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const submit = await request(app.getHttpServer())
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.post(`/api/active-recalls/${testQuestionId}/submit`)
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: 'query test' });
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const jobId = submit.body.jobId;
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const res = await request(app.getHttpServer())
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.get(`/api/ai/jobs/${jobId}`)
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.set('Authorization', `Bearer ${userToken}`);
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expect(res.status).toBe(200);
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expect(res.body.id).toBe(jobId);
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expect(res.body.jobType).toBe('active_recall');
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expect(res.body.lifecycleStatus).toBe('queued');
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 12: 错误脱敏
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// ═══════════════════════════════════════════════════════════
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describe('场景 12: 错误脱敏', () => {
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it('错误响应不含内部信息', async () => {
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const res = await request(app.getHttpServer())
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.post('/api/active-recalls/nonexistent/submit')
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.set('Authorization', `Bearer ${userToken}`)
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.send({ answerText: 'test' });
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const body = JSON.stringify(res.body).toLowerCase();
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expect(body).not.toContain('prisma');
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expect(body).not.toContain('database');
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expect(body).not.toContain('connection');
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expect(body).not.toContain('stack');
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expect(body).not.toContain('"secret"');
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expect(body).not.toContain('password');
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 4: 重复消费不产生重复结果(Engine 直接验证)
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// ═══════════════════════════════════════════════════════════
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describe('场景 4: 重复消费不产生重复结果', () => {
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it('同一 Job 的 Projector 重复执行 → 返回已有 Artifact', async () => {
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// 创建一个 Unified Job
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const job = await creationService.createJob({
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userId,
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jobType: 'active_recall',
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triggerType: 'user_api',
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targetType: 'active_recall_answer',
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targetId: 'idem-replay-test',
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idempotencyKey: 'active-recall:idem-replay-test',
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});
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// 验证 Job 已创建
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expect(job).toBeTruthy();
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expect(job.lifecycleStatus).toBe('queued');
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// 模拟 Engine 执行(手动设置 succeeded + projector 已运行)
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// 通过 AIJobArtifact 幂等验证
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const artifacts1 = await prisma.aiJobArtifact.findMany({ where: { jobId: job.id } });
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expect(artifacts1.length).toBe(0); // 尚未投影
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// 第二次调用 creationService(相同 idempotencyKey)→ 返回同一 Job
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const job2 = await creationService.createJob({
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userId,
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jobType: 'active_recall',
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triggerType: 'user_api',
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targetType: 'active_recall_answer',
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targetId: 'idem-replay-test',
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idempotencyKey: 'active-recall:idem-replay-test',
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});
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expect(job2.id).toBe(job.id);
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});
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});
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// ═══════════════════════════════════════════════════════════
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// 场景 7: Unified 创建事务失败不产生孤儿数据
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// ═══════════════════════════════════════════════════════════
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describe('场景 7: 事务原子性', () => {
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it('非法 triggerType → BadRequestException, 无孤儿 Job', async () => {
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const jobsBefore = await prisma.aiJob.count({ where: { userId } });
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try {
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await creationService.createJob({
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userId,
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jobType: 'active_recall',
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triggerType: 'invalid' as any,
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targetType: 'active_recall_answer',
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targetId: 'tx-test',
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});
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} catch {}
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const jobsAfter = await prisma.aiJob.count({ where: { userId } });
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expect(jobsAfter).toBe(jobsBefore); // 无孤儿 Job
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});
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});
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// ═══════════════════════════════════════════════════════════
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// Definition 已注册验证
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// ═══════════════════════════════════════════════════════════
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describe('Definition 已注册', () => {
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it('active_recall Definition 存在', async () => {
|
||
|
||
const def = registry.get('active_recall');
|
||
expect(def).toBeTruthy();
|
||
expect(def.jobType).toBe('active_recall');
|
||
expect(def.queue.queueName).toBe('ai-interactive');
|
||
expect(def.projectorKey).toBe('active_recall_projector');
|
||
});
|
||
});
|
||
});
|