FastGPT/test/cases/service/common/vectorDB/controller.test.ts
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feat: custom domain (#6067)
* perf: faq

* index

* delete dataset

* delete dataset

* perf: delete dataset

* init

* fix: faq

* doc

* fix: share link auth (#6063)

* standard plan add custom domain config (#6061)

* standard plan add custom domain config

* bill detail modal

* perf: vector count api

* feat: custom domain & wecom bot SaaS integration (#6047)

* feat: custom Domain type define

* feat: custom domain

* feat: wecom custom domain

* chore: i18n

* chore: i18n; team auth

* feat: wecom multi-model message support

* chore: wecom edit modal

* chore(doc): custom domain && wecom bot

* fix: type

* fix: type

* fix: file detect

* feat: fe

* fix: img name

* fix: test

* compress img

* rename

* editor initial status

* fix: chat url

* perf: s3 upload by buffer

* img

* refresh

* fix: custom domain selector (#6069)

* empty tip

* perf: s3 init

* sort provider

* fix: extend

* perf: extract filename

---------

Co-authored-by: Roy <whoeverimf5@gmail.com>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
2025-12-09 23:33:32 +08:00

317 lines
8.7 KiB
TypeScript

import { describe, expect, it, vi, beforeEach, afterEach } from 'vitest';
import {
mockVectorInsert,
mockVectorDelete,
mockVectorEmbRecall,
mockVectorInit,
mockGetVectorDataByTime,
mockGetVectorCountByTeamId,
mockGetVectorCount,
resetVectorMocks
} from '@test/mocks/common/vector';
import { mockGetVectorsByText } from '@test/mocks/core/ai/embedding';
// Import controller functions after mocks are set up
import {
initVectorStore,
recallFromVectorStore,
getVectorDataByTime,
getVectorCountByTeamId,
getVectorCount,
insertDatasetDataVector,
deleteDatasetDataVector
} from '@fastgpt/service/common/vectorDB/controller';
// Mock redis cache functions
const mockGetRedisCache = vi.fn();
const mockSetRedisCache = vi.fn();
const mockDelRedisCache = vi.fn();
const mockIncrValueToCache = vi.fn();
vi.mock('@fastgpt/service/common/redis/cache', () => ({
setRedisCache: (...args: any[]) => mockSetRedisCache(...args),
getRedisCache: (...args: any[]) => mockGetRedisCache(...args),
delRedisCache: (...args: any[]) => mockDelRedisCache(...args),
incrValueToCache: (...args: any[]) => mockIncrValueToCache(...args),
CacheKeyEnum: {
team_vector_count: 'team_vector_count',
team_point_surplus: 'team_point_surplus',
team_point_total: 'team_point_total'
},
CacheKeyEnumTime: {
team_vector_count: 1800,
team_point_surplus: 60,
team_point_total: 60
}
}));
describe('VectorDB Controller', () => {
beforeEach(() => {
resetVectorMocks();
mockGetRedisCache.mockReset();
mockSetRedisCache.mockReset();
mockDelRedisCache.mockReset();
mockIncrValueToCache.mockReset();
mockGetVectorsByText.mockClear();
});
describe('initVectorStore', () => {
it('should call Vector.init', async () => {
await initVectorStore();
expect(mockVectorInit).toHaveBeenCalled();
});
});
describe('recallFromVectorStore', () => {
it('should call Vector.embRecall with correct props', async () => {
const props = {
teamId: 'team_123',
datasetIds: ['dataset_1', 'dataset_2'],
vector: [0.1, 0.2, 0.3],
limit: 10,
forbidCollectionIdList: ['col_forbidden']
};
const result = await recallFromVectorStore(props);
expect(mockVectorEmbRecall).toHaveBeenCalledWith(props);
expect(result).toEqual({
results: [
{ id: '1', collectionId: 'col_1', score: 0.95 },
{ id: '2', collectionId: 'col_2', score: 0.85 }
]
});
});
it('should handle filterCollectionIdList', async () => {
const props = {
teamId: 'team_123',
datasetIds: ['dataset_1'],
vector: [0.1, 0.2],
limit: 5,
forbidCollectionIdList: [],
filterCollectionIdList: ['col_1', 'col_2']
};
await recallFromVectorStore(props);
expect(mockVectorEmbRecall).toHaveBeenCalledWith(props);
});
});
describe('getVectorDataByTime', () => {
it('should call Vector.getVectorDataByTime with correct date range', async () => {
const start = new Date('2024-01-01');
const end = new Date('2024-01-31');
const result = await getVectorDataByTime(start, end);
expect(mockGetVectorDataByTime).toHaveBeenCalledWith(start, end);
expect(result).toEqual([
{ id: '1', teamId: 'team_1', datasetId: 'dataset_1' },
{ id: '2', teamId: 'team_1', datasetId: 'dataset_2' }
]);
});
});
describe('getVectorCountByTeamId', () => {
it('should return cached count if available', async () => {
mockGetRedisCache.mockResolvedValue('150');
const result = await getVectorCountByTeamId('team_123');
expect(result).toBe(150);
expect(mockGetVectorCount).not.toHaveBeenCalled();
});
it('should fetch from Vector and cache if no cache exists', async () => {
mockGetRedisCache.mockResolvedValue(null);
mockGetVectorCount.mockResolvedValue(200);
const result = await getVectorCountByTeamId('team_456');
expect(result).toBe(200);
expect(mockGetVectorCount).toHaveBeenCalledWith({ teamId: 'team_456' });
});
it('should handle undefined cache value', async () => {
mockGetRedisCache.mockResolvedValue(undefined);
mockGetVectorCount.mockResolvedValue(50);
const result = await getVectorCountByTeamId('team_789');
expect(result).toBe(50);
expect(mockGetVectorCount).toHaveBeenCalledWith({ teamId: 'team_789' });
});
});
describe('getVectorCount', () => {
it('should call Vector.getVectorCount', async () => {
const result = await getVectorCount({ teamId: 'team_1', datasetId: 'dataset_1' });
expect(mockGetVectorCount).toHaveBeenCalledWith({
teamId: 'team_1',
datasetId: 'dataset_1'
});
expect(result).toBe(50);
});
});
describe('insertDatasetDataVector', () => {
const mockModel = {
model: 'text-embedding-ada-002',
name: 'text-embedding-ada-002',
charsPointsPrice: 0,
maxToken: 8192,
weight: 100,
defaultToken: 512,
dbConfig: {},
queryExtensionModel: ''
};
it('should generate embeddings and insert vectors', async () => {
const mockVectors = [
[0.1, 0.2],
[0.3, 0.4]
];
mockGetVectorsByText.mockResolvedValue({
tokens: 100,
vectors: mockVectors
});
mockVectorInsert.mockResolvedValue({
insertIds: ['id_1', 'id_2']
});
const result = await insertDatasetDataVector({
teamId: 'team_123',
datasetId: 'dataset_456',
collectionId: 'col_789',
inputs: ['hello world', 'test text'],
model: mockModel as any
});
expect(mockGetVectorsByText).toHaveBeenCalledWith({
model: mockModel,
input: ['hello world', 'test text'],
type: 'db'
});
expect(mockVectorInsert).toHaveBeenCalledWith({
teamId: 'team_123',
datasetId: 'dataset_456',
collectionId: 'col_789',
vectors: mockVectors
});
expect(result).toEqual({
tokens: 100,
insertIds: ['id_1', 'id_2']
});
});
it('should increment team vector cache', async () => {
mockGetVectorsByText.mockResolvedValue({
tokens: 50,
vectors: [[0.1]]
});
mockVectorInsert.mockResolvedValue({
insertIds: ['id_1']
});
await insertDatasetDataVector({
teamId: 'team_abc',
datasetId: 'dataset_def',
collectionId: 'col_ghi',
inputs: ['single input'],
model: mockModel as any
});
// Cache increment is called asynchronously
await new Promise((resolve) => setTimeout(resolve, 10));
expect(mockIncrValueToCache).toHaveBeenCalled();
});
it('should handle empty inputs', async () => {
mockGetVectorsByText.mockResolvedValue({
tokens: 0,
vectors: []
});
mockVectorInsert.mockResolvedValue({
insertIds: []
});
const result = await insertDatasetDataVector({
teamId: 'team_123',
datasetId: 'dataset_456',
collectionId: 'col_789',
inputs: [],
model: mockModel as any
});
expect(result).toEqual({
tokens: 0,
insertIds: []
});
});
});
describe('deleteDatasetDataVector', () => {
it('should delete by single id', async () => {
const props = {
teamId: 'team_123',
id: 'vector_id_1'
};
await deleteDatasetDataVector(props);
expect(mockVectorDelete).toHaveBeenCalledWith(props);
});
it('should delete by datasetIds', async () => {
const props = {
teamId: 'team_123',
datasetIds: ['dataset_1', 'dataset_2']
};
await deleteDatasetDataVector(props);
expect(mockVectorDelete).toHaveBeenCalledWith(props);
});
it('should delete by datasetIds and collectionIds', async () => {
const props = {
teamId: 'team_123',
datasetIds: ['dataset_1'],
collectionIds: ['col_1', 'col_2']
};
await deleteDatasetDataVector(props);
expect(mockVectorDelete).toHaveBeenCalledWith(props);
});
it('should delete by idList', async () => {
const props = {
teamId: 'team_123',
idList: ['id_1', 'id_2', 'id_3']
};
await deleteDatasetDataVector(props);
expect(mockVectorDelete).toHaveBeenCalledWith(props);
});
it('should call delete and return result', async () => {
mockVectorDelete.mockResolvedValue({ deletedCount: 5 });
const props = {
teamId: 'team_cache_test',
id: 'some_id'
};
const result = await deleteDatasetDataVector(props);
expect(mockVectorDelete).toHaveBeenCalledWith(props);
expect(result).toEqual({ deletedCount: 5 });
});
});
});