Files
immich/server/src/services/smart-info.service.spec.ts
Mert 8edc2fb46f refactor(server): decouple generated images from image formats (#8246)
* rename

thumbnail config

update target paths, fix tests

rename to image settings

replace legacy enum

better typing

update sql

update api

remove config option

fix

* update docs

* update other thumbnail configs in migration

* keep legacy enum for now

* fix jumbled job names

* fix jumbled job names in tests

* rename thumbhash job

* rename dto

* fix tests

* preserve order

* remove unused import

* keep old fields in dto, marked deprecated

* update sql

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2024-04-02 04:56:56 +00:00

135 lines
5.4 KiB
TypeScript

import { AssetEntity } from 'src/entities/asset.entity';
import { SystemConfigKey } from 'src/entities/system-config.entity';
import { IAssetRepository, WithoutProperty } from 'src/interfaces/asset.interface';
import { IDatabaseRepository } from 'src/interfaces/database.interface';
import { IJobRepository, JobName } from 'src/interfaces/job.interface';
import { IMachineLearningRepository } from 'src/interfaces/machine-learning.interface';
import { ISearchRepository } from 'src/interfaces/search.interface';
import { ISystemConfigRepository } from 'src/interfaces/system-config.interface';
import { SmartInfoService } from 'src/services/smart-info.service';
import { getCLIPModelInfo } from 'src/utils/misc';
import { assetStub } from 'test/fixtures/asset.stub';
import { newAssetRepositoryMock } from 'test/repositories/asset.repository.mock';
import { newDatabaseRepositoryMock } from 'test/repositories/database.repository.mock';
import { newJobRepositoryMock } from 'test/repositories/job.repository.mock';
import { newMachineLearningRepositoryMock } from 'test/repositories/machine-learning.repository.mock';
import { newSearchRepositoryMock } from 'test/repositories/search.repository.mock';
import { newSystemConfigRepositoryMock } from 'test/repositories/system-config.repository.mock';
const asset = {
id: 'asset-1',
previewPath: 'path/to/resize.ext',
} as AssetEntity;
describe(SmartInfoService.name, () => {
let sut: SmartInfoService;
let assetMock: jest.Mocked<IAssetRepository>;
let configMock: jest.Mocked<ISystemConfigRepository>;
let jobMock: jest.Mocked<IJobRepository>;
let searchMock: jest.Mocked<ISearchRepository>;
let machineMock: jest.Mocked<IMachineLearningRepository>;
let databaseMock: jest.Mocked<IDatabaseRepository>;
beforeEach(() => {
assetMock = newAssetRepositoryMock();
configMock = newSystemConfigRepositoryMock();
searchMock = newSearchRepositoryMock();
jobMock = newJobRepositoryMock();
machineMock = newMachineLearningRepositoryMock();
databaseMock = newDatabaseRepositoryMock();
sut = new SmartInfoService(assetMock, databaseMock, jobMock, machineMock, searchMock, configMock);
assetMock.getByIds.mockResolvedValue([asset]);
});
it('should work', () => {
expect(sut).toBeDefined();
});
describe('handleQueueEncodeClip', () => {
it('should do nothing if machine learning is disabled', async () => {
configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
await sut.handleQueueEncodeClip({});
expect(assetMock.getAll).not.toHaveBeenCalled();
expect(assetMock.getWithout).not.toHaveBeenCalled();
});
it('should queue the assets without clip embeddings', async () => {
assetMock.getWithout.mockResolvedValue({
items: [assetStub.image],
hasNextPage: false,
});
await sut.handleQueueEncodeClip({ force: false });
expect(jobMock.queueAll).toHaveBeenCalledWith([{ name: JobName.SMART_SEARCH, data: { id: assetStub.image.id } }]);
expect(assetMock.getWithout).toHaveBeenCalledWith({ skip: 0, take: 1000 }, WithoutProperty.SMART_SEARCH);
expect(searchMock.deleteAllSearchEmbeddings).not.toHaveBeenCalled();
});
it('should queue all the assets', async () => {
assetMock.getAll.mockResolvedValue({
items: [assetStub.image],
hasNextPage: false,
});
await sut.handleQueueEncodeClip({ force: true });
expect(jobMock.queueAll).toHaveBeenCalledWith([{ name: JobName.SMART_SEARCH, data: { id: assetStub.image.id } }]);
expect(assetMock.getAll).toHaveBeenCalled();
expect(searchMock.deleteAllSearchEmbeddings).toHaveBeenCalled();
});
});
describe('handleEncodeClip', () => {
it('should do nothing if machine learning is disabled', async () => {
configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
await sut.handleEncodeClip({ id: '123' });
expect(assetMock.getByIds).not.toHaveBeenCalled();
expect(machineMock.encodeImage).not.toHaveBeenCalled();
});
it('should skip assets without a resize path', async () => {
const asset = { previewPath: '' } as AssetEntity;
assetMock.getByIds.mockResolvedValue([asset]);
await sut.handleEncodeClip({ id: asset.id });
expect(searchMock.upsert).not.toHaveBeenCalled();
expect(machineMock.encodeImage).not.toHaveBeenCalled();
});
it('should save the returned objects', async () => {
machineMock.encodeImage.mockResolvedValue([0.01, 0.02, 0.03]);
await sut.handleEncodeClip({ id: asset.id });
expect(machineMock.encodeImage).toHaveBeenCalledWith(
'http://immich-machine-learning:3003',
{ imagePath: 'path/to/resize.ext' },
{ enabled: true, modelName: 'ViT-B-32__openai' },
);
expect(searchMock.upsert).toHaveBeenCalledWith('asset-1', [0.01, 0.02, 0.03]);
});
});
describe('getCLIPModelInfo', () => {
it('should return the model info', () => {
expect(getCLIPModelInfo('ViT-B-32__openai')).toEqual({ dimSize: 512 });
expect(getCLIPModelInfo('M-CLIP/XLM-Roberta-Large-Vit-L-14')).toEqual({ dimSize: 768 });
});
it('should clean the model name', () => {
expect(getCLIPModelInfo('ViT-B-32::openai')).toEqual({ dimSize: 512 });
});
it('should throw an error if the model is not present', () => {
expect(() => getCLIPModelInfo('test-model')).toThrow('Unknown CLIP model: test-model');
});
});
});