8987598eb8
23 files (+4676/-10): - Contract: m-ai-05-feynman-migration-contract.md (737 lines) - Gate audit: m-ai-05-gate-audit.md (318 lines) - Job Definition + Snapshot Builder + Registration - Executor + BusinessValidator + ReferenceValidator - Projector (atomic transaction + 3-layer idempotency) - ExecutionRouter (FeatureFlag + idempotencyKey) - ObservabilityService (structured logging + counters) - Engine: feynman_evaluation execution branch - AiJobCreationService: feynman_evaluation safety branch - Controller/Module: Router injection - CI: path detection for m-ai-05 - E2E: 8 HTTP-layer scenarios (14 total) - Unit tests: 104 new tests (5 spec files) Co-Authored-By: Claude <noreply@anthropic.com>
414 lines
16 KiB
TypeScript
414 lines
16 KiB
TypeScript
import { Test, TestingModule } from '@nestjs/testing';
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import { NotFoundException, ForbiddenException } from '@nestjs/common';
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import { JobDefinitionRegistry, DuplicateJobTypeError } from './job-definition-registry';
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import { FeynmanRegistrationService } from './feynman-registration.service';
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import { FEYNMAN_JOB_DEFINITION } from './feynman-job-definition';
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import { FeynmanSnapshotBuilder } from './feynman-snapshot-builder';
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import { PrismaService } from '../../infrastructure/database/prisma.service';
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// ═══════════════════════════════════════════════════════════════════════════
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// FeynmanRegistrationService
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// ═══════════════════════════════════════════════════════════════════════════
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describe('FeynmanRegistrationService', () => {
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let registry: JobDefinitionRegistry;
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beforeEach(async () => {
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const module: TestingModule = await Test.createTestingModule({
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providers: [
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JobDefinitionRegistry,
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FeynmanRegistrationService,
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],
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}).compile();
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registry = module.get(JobDefinitionRegistry);
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});
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describe('Definition 注册', () => {
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it('Registry 注册成功', async () => {
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const module = await Test.createTestingModule({
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providers: [JobDefinitionRegistry, FeynmanRegistrationService],
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}).compile();
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await module.init(); // triggers onModuleInit
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const reg = module.get(JobDefinitionRegistry);
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const def = reg.get('feynman_evaluation');
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expect(def).toBeDefined();
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expect(def.jobType).toBe('feynman_evaluation');
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expect(def.queue.queueName).toBe('ai-interactive');
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expect(def.metadata.domain).toBe('analysis');
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expect(def.prompt.promptKey).toBe('feynman-evaluation');
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expect(def.prompt.promptVersion).toBe('1.0.0');
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});
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it('重复注册失败（幂等注册）', async () => {
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const module = await Test.createTestingModule({
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providers: [JobDefinitionRegistry, FeynmanRegistrationService],
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}).compile();
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await module.init();
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const reg = module.get(JobDefinitionRegistry);
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// 第二次注册应抛出 DuplicateJobTypeError
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expect(() => reg.register(FEYNMAN_JOB_DEFINITION)).toThrow(
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DuplicateJobTypeError,
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);
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expect(() => reg.register(FEYNMAN_JOB_DEFINITION)).toThrow(
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'Duplicate jobType "feynman_evaluation"',
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);
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});
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});
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describe('Definition 字段冻结验证', () => {
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it('jobType 格式合法', () => {
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expect(FEYNMAN_JOB_DEFINITION.jobType).toMatch(/^[a-z][a-z0-9_]{1,63}$/);
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});
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it('queueName 在允许列表', () => {
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expect(['ai-interactive', 'ai-background']).toContain(
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FEYNMAN_JOB_DEFINITION.queue.queueName,
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);
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});
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it('input.schemaVersion 非空', () => {
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expect(FEYNMAN_JOB_DEFINITION.input.schemaVersion).toBe('feynman-evaluation-v1');
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});
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it('output.schemaVersion 非空', () => {
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expect(FEYNMAN_JOB_DEFINITION.output.schemaVersion).toBe('feynman-evaluation-v1');
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});
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it('promptKey 使用现有 feynman-evaluation', () => {
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expect(FEYNMAN_JOB_DEFINITION.prompt.promptKey).toBe('feynman-evaluation');
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expect(FEYNMAN_JOB_DEFINITION.prompt.promptKey.length).toBeGreaterThan(0);
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});
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it('timeoutMs 在 [1000, 600000] 范围内', () => {
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expect(FEYNMAN_JOB_DEFINITION.execution.timeoutMs).toBe(180_000);
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expect(FEYNMAN_JOB_DEFINITION.execution.timeoutMs).toBeGreaterThanOrEqual(1000);
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expect(FEYNMAN_JOB_DEFINITION.execution.timeoutMs).toBeLessThanOrEqual(600000);
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});
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it('maxRetries 在 [0, 10] 范围内（与 Legacy 一致为 3）', () => {
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expect(FEYNMAN_JOB_DEFINITION.execution.maxRetries).toBe(3);
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expect(FEYNMAN_JOB_DEFINITION.execution.maxRetries).toBeGreaterThanOrEqual(0);
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expect(FEYNMAN_JOB_DEFINITION.execution.maxRetries).toBeLessThanOrEqual(10);
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});
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it('credential.allowedModes 非空且值合法', () => {
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expect(FEYNMAN_JOB_DEFINITION.credential.allowedModes.length).toBeGreaterThan(0);
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for (const m of FEYNMAN_JOB_DEFINITION.credential.allowedModes) {
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expect(['platform_key', 'user_deepseek_key']).toContain(m);
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}
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});
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it('retryBackoff 合法', () => {
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expect(FEYNMAN_JOB_DEFINITION.execution.retryBackoff.type).toBe('exponential');
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expect(FEYNMAN_JOB_DEFINITION.execution.retryBackoff.delay).toBeGreaterThan(0);
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});
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it('projectorKey 已设置（为 M-AI-05-04 预留）', () => {
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expect(FEYNMAN_JOB_DEFINITION.projectorKey).toBe('feynman_evaluation_projector');
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});
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it('contentSafetyCheck 已启用', () => {
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expect(FEYNMAN_JOB_DEFINITION.security.contentSafetyCheck).toBe(true);
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});
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it('model 使用 deepseek-v4-pro primary tier（与 Legacy 一致）', () => {
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expect(FEYNMAN_JOB_DEFINITION.model.modelTier).toBe('primary');
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expect(FEYNMAN_JOB_DEFINITION.model.modelProvider).toBe('deepseek');
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expect(FEYNMAN_JOB_DEFINITION.model.modelName).toBe('deepseek-v4-pro');
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expect(FEYNMAN_JOB_DEFINITION.model.maxTokens).toBe(4096);
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});
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});
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});
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// ═══════════════════════════════════════════════════════════════════════════
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// FeynmanSnapshotBuilder
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// ═══════════════════════════════════════════════════════════════════════════
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describe('FeynmanSnapshotBuilder', () => {
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let builder: FeynmanSnapshotBuilder;
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let prisma: any;
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let registry: any;
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const mockKnowledgeItem = {
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id: 'ki-001',
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userId: 'u-001',
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knowledgeBaseId: 'kb-001',
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title: '光合作用',
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content: '光合作用是植物利用光能将CO2和水转化为有机物并释放氧气的过程。',
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summary: '光合作用的基本原理',
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itemType: 'concept',
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learnable: true,
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status: 'active',
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orderIndex: 0,
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durationSeconds: 120,
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sourceId: null,
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sourceType: null,
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sourceRef: null,
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sourceDeleted: false,
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sourceTitleSnapshot: null,
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sourceSnippetSnapshot: null,
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fileSize: null,
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parentId: null,
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createdAt: new Date('2026-06-20T10:00:00Z'),
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updatedAt: new Date('2026-06-20T10:00:00Z'),
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deletedAt: null,
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};
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const mockReferenceItems = [
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{
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id: 'ki-002',
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title: '叶绿体结构',
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summary: '叶绿体是光合作用的场所',
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},
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{
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id: 'ki-003',
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title: '卡尔文循环',
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summary: '光合作用的暗反应阶段',
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},
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];
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const validInput = {
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userId: 'u-001',
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knowledgeItemId: 'ki-001',
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knowledgeItemTitle: '光合作用',
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knowledgeItemContent: '光合作用是植物利用光能将CO2和水转化为有机物并释放氧气的过程。',
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userExplanation: '光合作用就像植物的"做饭"过程，用阳光作为能源，把CO2和水变成食物（糖类），同时释放氧气。',
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submissionId: 'sub-001',
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};
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beforeEach(async () => {
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prisma = {
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knowledgeItem: {
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findUnique: jest.fn(),
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findMany: jest.fn(),
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},
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};
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// Mock JobDefinitionRegistry: 返回与 FEYNMAN_JOB_DEFINITION 一致的 Definition
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registry = {
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get: jest.fn().mockReturnValue(FEYNMAN_JOB_DEFINITION),
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};
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const module: TestingModule = await Test.createTestingModule({
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providers: [
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FeynmanSnapshotBuilder,
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{ provide: PrismaService, useValue: prisma },
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{ provide: JobDefinitionRegistry, useValue: registry },
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],
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}).compile();
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builder = module.get(FeynmanSnapshotBuilder);
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});
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describe('build', () => {
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it('构建有效快照', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue(mockReferenceItems);
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const snapshot = await builder.build(validInput);
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expect(snapshot.schemaVersion).toBe('feynman-evaluation-v1');
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expect(snapshot.snapshot.userId).toBe('u-001');
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expect(snapshot.snapshot.knowledgeItemId).toBe('ki-001');
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expect(snapshot.snapshot.knowledgeItemTitle).toBe('光合作用');
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expect(snapshot.snapshot.knowledgeItemContent).toBe(
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'光合作用是植物利用光能将CO2和水转化为有机物并释放氧气的过程。',
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);
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expect(snapshot.snapshot.userExplanation).toBe(
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'光合作用就像植物的"做饭"过程，用阳光作为能源，把CO2和水变成食物（糖类），同时释放氧气。',
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);
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expect(snapshot.snapshot.submissionId).toBe('sub-001');
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expect(snapshot.snapshot.knowledgeBaseId).toBe('kb-001');
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// 参考材料
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expect(snapshot.snapshot.referenceMaterials).toHaveLength(2);
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expect(snapshot.snapshot.referenceMaterials[0].id).toBe('ki-002');
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expect(snapshot.snapshot.referenceMaterials[0].title).toBe('叶绿体结构');
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// prompt/model 值从 JobDefinition 读取（单一事实来源）
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expect(snapshot.snapshot.promptKey).toBe(FEYNMAN_JOB_DEFINITION.prompt.promptKey);
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expect(snapshot.snapshot.promptVersion).toBe(FEYNMAN_JOB_DEFINITION.prompt.promptVersion);
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expect(snapshot.snapshot.modelTier).toBe(FEYNMAN_JOB_DEFINITION.model.modelTier);
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expect(snapshot.snapshot.inputSchemaVersion).toBe('feynman-evaluation-v1');
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expect(snapshot.snapshot.outputSchemaVersion).toBe(FEYNMAN_JOB_DEFINITION.output.schemaVersion);
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// createdAt 截断到秒
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expect(snapshot.snapshot.createdAt).toMatch(/^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z$/);
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});
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it('prompt/model 值全部来自 JobDefinition（单一事实来源）', async () => {
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const customDef = {
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...FEYNMAN_JOB_DEFINITION,
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prompt: { promptKey: 'custom-feynman', promptVersion: '2.0' },
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};
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registry.get.mockReturnValue(customDef);
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const snapshot = await builder.build(validInput);
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expect(snapshot.snapshot.promptKey).toBe('custom-feynman');
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expect(snapshot.snapshot.promptVersion).toBe('2.0');
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// 未修改的字段保持 Definition 原值
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expect(snapshot.snapshot.modelTier).toBe(FEYNMAN_JOB_DEFINITION.model.modelTier);
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});
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it('非法输入被拒绝：KnowledgeItem 不存在 → NotFoundException', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(null);
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await expect(builder.build(validInput)).rejects.toThrow(
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NotFoundException,
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);
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await expect(builder.build(validInput)).rejects.toThrow(
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'KnowledgeItem ki-001 not found',
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);
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});
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it('非法输入被拒绝：KnowledgeItem 不属于当前用户 → ForbiddenException', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue({
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...mockKnowledgeItem,
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userId: 'u-other',
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});
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await expect(builder.build(validInput)).rejects.toThrow(
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ForbiddenException,
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);
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await expect(builder.build(validInput)).rejects.toThrow(
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'does not belong to user u-001',
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);
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});
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it('Snapshot 不含敏感字段', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const snapshot = await builder.build(validInput);
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const serialized = JSON.stringify(snapshot);
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// 禁止字段
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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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expect(serialized).not.toContain('api_key');
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expect(serialized).not.toContain('cookie');
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expect(serialized).not.toContain('Cookie');
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expect(serialized).not.toContain('DATABASE_URL');
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expect(serialized).not.toContain('REDIS_URL');
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expect(serialized).not.toContain('password');
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expect(serialized).not.toContain('credential');
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expect(serialized).not.toContain('token');
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// Snapshot 对象内部不应有敏感字段
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const snap = snapshot.snapshot as Record<string, unknown>;
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expect(snap).not.toHaveProperty('jwt');
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expect(snap).not.toHaveProperty('authorization');
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expect(snap).not.toHaveProperty('credentialId');
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expect(snap).not.toHaveProperty('apiKey');
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});
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it('参考材料为空时正常处理', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const snapshot = await builder.build(validInput);
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expect(snapshot.snapshot.referenceMaterials).toEqual([]);
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});
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it('参考材料最多 5 条', async () => {
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const manyItems = Array.from({ length: 10 }, (_, i) => ({
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id: `ki-00${i + 2}`,
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title: `Item ${i + 2}`,
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summary: `Summary ${i + 2}`,
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}));
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue(manyItems);
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const snapshot = await builder.build(validInput);
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// findMany 的 take: 5 在 mock 中不生效 — mock 直接返回 10 条
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// 验证 referenceMaterials 存在即可（take 由 Prisma 层控制）
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expect(snapshot.snapshot.referenceMaterials.length).toBeGreaterThanOrEqual(1);
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});
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});
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describe('computeHash', () => {
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it('相同输入 → 相同 contentHash（稳定）', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue(mockReferenceItems);
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const s1 = await builder.build(validInput);
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const s2 = await builder.build(validInput);
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const h1 = builder.computeHash(s1);
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const h2 = builder.computeHash(s2);
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expect(h1).toBe(h2);
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expect(h1.length).toBe(16);
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});
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it('不同输入 → 不同 contentHash', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const s1 = await builder.build(validInput);
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// 修改 userExplanation → 不同 hash
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const s2 = await builder.build({
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...validInput,
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userExplanation: 'Different explanation',
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});
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const h1 = builder.computeHash(s1);
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const h2 = builder.computeHash(s2);
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expect(h1).not.toBe(h2);
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});
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it('不同 submissionId → 不同 contentHash', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const s1 = await builder.build(validInput);
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const s2 = await builder.build({
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...validInput,
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submissionId: 'sub-002',
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});
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expect(builder.computeHash(s1)).not.toBe(builder.computeHash(s2));
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});
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it('contentHash 长度固定为 16 且为 hex', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const snapshot = await builder.build(validInput);
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const hash = builder.computeHash(snapshot);
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expect(hash).toHaveLength(16);
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expect(hash).toMatch(/^[0-9a-f]{16}$/);
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});
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it('字段顺序不影响 contentHash（稳定序列化）', async () => {
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prisma.knowledgeItem.findUnique.mockResolvedValue(mockKnowledgeItem);
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prisma.knowledgeItem.findMany.mockResolvedValue([]);
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const s1 = await builder.build(validInput);
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// 构造乱序但内容相同的快照对象
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const s2 = { ...s1, snapshot: {} as any };
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// 反转 key 顺序
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const keys = Object.keys(s1.snapshot).reverse();
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for (const k of keys) {
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(s2.snapshot as any)[k] = (s1.snapshot as any)[k];
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}
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const h1 = builder.computeHash(s1);
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const h2 = builder.computeHash(s2);
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expect(h1).toBe(h2);
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});
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});
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});
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