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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

193 lines
6.0 KiB
TypeScript

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