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193 lines
6.0 KiB
TypeScript
193 lines
6.0 KiB
TypeScript
/**
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* Tests for v1 knowledge search API route.
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* Specifically guards the per-KB embedding model resolution and the
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* multi-model rejection so the v1 endpoint stays in lockstep with the
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* internal route.
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*
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* @vitest-environment node
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*/
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import { createMockRequest, knowledgeApiUtilsMock, knowledgeApiUtilsMockFns } from '@sim/testing'
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import { getErrorMessage } from '@sim/utils/errors'
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import { beforeEach, describe, expect, it, vi } from 'vitest'
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const {
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mockHandleVectorOnlySearch,
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mockHandleTagOnlySearch,
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mockHandleTagAndVectorSearch,
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mockGetQueryStrategy,
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mockGenerateSearchEmbedding,
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mockGetDocumentMetadataByIds,
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mockAuthenticateRequest,
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mockValidateWorkspaceAccess,
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} = vi.hoisted(() => ({
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mockHandleVectorOnlySearch: vi.fn(),
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mockHandleTagOnlySearch: vi.fn(),
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mockHandleTagAndVectorSearch: vi.fn(),
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mockGetQueryStrategy: vi.fn(),
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mockGenerateSearchEmbedding: vi.fn(),
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mockGetDocumentMetadataByIds: vi.fn(),
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mockAuthenticateRequest: vi.fn(),
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mockValidateWorkspaceAccess: vi.fn(),
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}))
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vi.mock('@/app/api/knowledge/search/utils', () => ({
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handleVectorOnlySearch: mockHandleVectorOnlySearch,
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handleTagOnlySearch: mockHandleTagOnlySearch,
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handleTagAndVectorSearch: mockHandleTagAndVectorSearch,
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getQueryStrategy: mockGetQueryStrategy,
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generateSearchEmbedding: mockGenerateSearchEmbedding,
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getDocumentMetadataByIds: mockGetDocumentMetadataByIds,
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}))
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vi.mock('@/app/api/knowledge/utils', () => knowledgeApiUtilsMock)
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vi.mock('@/lib/billing/calculations/usage-monitor', () => ({
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checkActorUsageLimits: vi.fn().mockResolvedValue({ isExceeded: false }),
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}))
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vi.mock('@/app/api/v1/middleware', () => ({
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authenticateRequest: mockAuthenticateRequest,
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validateWorkspaceAccess: mockValidateWorkspaceAccess,
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}))
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vi.mock('@/app/api/v1/knowledge/utils', () => ({
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handleError: (e: unknown) =>
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new Response(JSON.stringify({ error: getErrorMessage(e, 'error') }), {
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status: 500,
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}),
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}))
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vi.mock('@/lib/knowledge/tags/service', () => ({
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getDocumentTagDefinitions: vi.fn().mockResolvedValue([]),
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}))
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import { POST } from '@/app/api/v1/knowledge/search/route'
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const mockCheckKnowledgeBaseAccess = knowledgeApiUtilsMockFns.mockCheckKnowledgeBaseAccess
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const baseKb = (id: string, embeddingModel: string) => ({
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id,
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userId: 'user-1',
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name: `KB ${id}`,
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workspaceId: 'ws-1',
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embeddingModel,
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deletedAt: null,
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})
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describe('v1 knowledge search route — per-KB embedding model', () => {
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beforeEach(() => {
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vi.clearAllMocks()
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mockAuthenticateRequest.mockResolvedValue({
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requestId: 'req-1',
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userId: 'user-1',
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rateLimit: {},
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})
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mockValidateWorkspaceAccess.mockResolvedValue(null)
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mockGetQueryStrategy.mockReturnValue({ distanceThreshold: 0.5 })
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mockGenerateSearchEmbedding.mockResolvedValue([0.1, 0.2, 0.3])
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mockHandleVectorOnlySearch.mockResolvedValue([])
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mockGetDocumentMetadataByIds.mockResolvedValue({})
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})
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it('passes the KB embedding model into generateSearchEmbedding', async () => {
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mockCheckKnowledgeBaseAccess.mockResolvedValueOnce({
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hasAccess: true,
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knowledgeBase: baseKb('kb-gemini', 'gemini-embedding-001'),
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})
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const req = createMockRequest('POST', {
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workspaceId: 'ws-1',
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knowledgeBaseIds: 'kb-gemini',
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query: 'hello',
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})
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const res = await POST(req)
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expect(res.status).toBe(200)
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expect(mockGenerateSearchEmbedding).toHaveBeenCalledWith(
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'hello',
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'gemini-embedding-001',
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'ws-1'
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)
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})
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it('rejects cross-KB queries with mixed embedding models', async () => {
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mockCheckKnowledgeBaseAccess
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.mockResolvedValueOnce({
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hasAccess: true,
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knowledgeBase: baseKb('kb-openai', 'text-embedding-3-small'),
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})
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.mockResolvedValueOnce({
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hasAccess: true,
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knowledgeBase: baseKb('kb-gemini', 'gemini-embedding-001'),
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})
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const req = createMockRequest('POST', {
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workspaceId: 'ws-1',
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knowledgeBaseIds: ['kb-openai', 'kb-gemini'],
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query: 'hello',
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})
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const res = await POST(req)
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expect(res.status).toBe(400)
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expect(mockGenerateSearchEmbedding).not.toHaveBeenCalled()
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})
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it('surfaces sourceUrl from document metadata in search results', async () => {
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mockCheckKnowledgeBaseAccess.mockResolvedValueOnce({
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hasAccess: true,
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knowledgeBase: baseKb('kb-confluence', 'text-embedding-3-small'),
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})
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mockHandleVectorOnlySearch.mockResolvedValue([
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{
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documentId: 'doc-confluence',
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knowledgeBaseId: 'kb-confluence',
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content: 'page content',
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chunkIndex: 0,
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distance: 0.1,
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},
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])
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mockGetDocumentMetadataByIds.mockResolvedValue({
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'doc-confluence': {
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filename: 'Runbook.md',
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sourceUrl: 'https://example.atlassian.net/wiki/spaces/DOCS/pages/12345',
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},
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})
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const req = createMockRequest('POST', {
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workspaceId: 'ws-1',
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knowledgeBaseIds: 'kb-confluence',
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query: 'runbook',
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})
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const res = await POST(req)
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const body = await res.json()
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expect(res.status).toBe(200)
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expect(body.data.results[0].sourceUrl).toBe(
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'https://example.atlassian.net/wiki/spaces/DOCS/pages/12345'
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)
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expect(body.data.results[0].documentName).toBe('Runbook.md')
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})
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it('allows tag-only search across mixed embedding models', async () => {
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mockHandleTagOnlySearch.mockResolvedValue([])
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mockCheckKnowledgeBaseAccess.mockResolvedValueOnce({
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hasAccess: true,
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knowledgeBase: baseKb('kb-mixed', 'text-embedding-3-small'),
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})
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const req = createMockRequest('POST', {
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workspaceId: 'ws-1',
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knowledgeBaseIds: 'kb-mixed',
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tagFilters: [{ tagName: 'category', operator: 'eq', value: 'docs' }],
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})
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const res = await POST(req)
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expect(res.status).toBe(400)
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// tagName "category" is undefined in our empty getDocumentTagDefinitions mock,
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// so the route returns 400 before reaching the search handlers — but crucially
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// it never tries to generate an embedding.
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expect(mockGenerateSearchEmbedding).not.toHaveBeenCalled()
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})
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})
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