mirror of
https://github.com/immich-app/immich.git
synced 2026-01-17 07:21:48 -08:00
* 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>
135 lines
5.4 KiB
TypeScript
135 lines
5.4 KiB
TypeScript
import { AssetEntity } from 'src/entities/asset.entity';
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import { SystemConfigKey } from 'src/entities/system-config.entity';
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import { IAssetRepository, WithoutProperty } from 'src/interfaces/asset.interface';
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import { IDatabaseRepository } from 'src/interfaces/database.interface';
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import { IJobRepository, JobName } from 'src/interfaces/job.interface';
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import { IMachineLearningRepository } from 'src/interfaces/machine-learning.interface';
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import { ISearchRepository } from 'src/interfaces/search.interface';
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import { ISystemConfigRepository } from 'src/interfaces/system-config.interface';
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import { SmartInfoService } from 'src/services/smart-info.service';
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import { getCLIPModelInfo } from 'src/utils/misc';
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import { assetStub } from 'test/fixtures/asset.stub';
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import { newAssetRepositoryMock } from 'test/repositories/asset.repository.mock';
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import { newDatabaseRepositoryMock } from 'test/repositories/database.repository.mock';
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import { newJobRepositoryMock } from 'test/repositories/job.repository.mock';
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import { newMachineLearningRepositoryMock } from 'test/repositories/machine-learning.repository.mock';
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import { newSearchRepositoryMock } from 'test/repositories/search.repository.mock';
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import { newSystemConfigRepositoryMock } from 'test/repositories/system-config.repository.mock';
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const asset = {
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id: 'asset-1',
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previewPath: 'path/to/resize.ext',
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} as AssetEntity;
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describe(SmartInfoService.name, () => {
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let sut: SmartInfoService;
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let assetMock: jest.Mocked<IAssetRepository>;
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let configMock: jest.Mocked<ISystemConfigRepository>;
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let jobMock: jest.Mocked<IJobRepository>;
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let searchMock: jest.Mocked<ISearchRepository>;
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let machineMock: jest.Mocked<IMachineLearningRepository>;
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let databaseMock: jest.Mocked<IDatabaseRepository>;
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beforeEach(() => {
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assetMock = newAssetRepositoryMock();
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configMock = newSystemConfigRepositoryMock();
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searchMock = newSearchRepositoryMock();
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jobMock = newJobRepositoryMock();
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machineMock = newMachineLearningRepositoryMock();
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databaseMock = newDatabaseRepositoryMock();
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sut = new SmartInfoService(assetMock, databaseMock, jobMock, machineMock, searchMock, configMock);
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assetMock.getByIds.mockResolvedValue([asset]);
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});
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it('should work', () => {
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expect(sut).toBeDefined();
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});
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describe('handleQueueEncodeClip', () => {
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it('should do nothing if machine learning is disabled', async () => {
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configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
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await sut.handleQueueEncodeClip({});
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expect(assetMock.getAll).not.toHaveBeenCalled();
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expect(assetMock.getWithout).not.toHaveBeenCalled();
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});
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it('should queue the assets without clip embeddings', async () => {
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assetMock.getWithout.mockResolvedValue({
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items: [assetStub.image],
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hasNextPage: false,
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});
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await sut.handleQueueEncodeClip({ force: false });
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expect(jobMock.queueAll).toHaveBeenCalledWith([{ name: JobName.SMART_SEARCH, data: { id: assetStub.image.id } }]);
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expect(assetMock.getWithout).toHaveBeenCalledWith({ skip: 0, take: 1000 }, WithoutProperty.SMART_SEARCH);
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expect(searchMock.deleteAllSearchEmbeddings).not.toHaveBeenCalled();
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});
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it('should queue all the assets', async () => {
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assetMock.getAll.mockResolvedValue({
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items: [assetStub.image],
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hasNextPage: false,
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});
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await sut.handleQueueEncodeClip({ force: true });
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expect(jobMock.queueAll).toHaveBeenCalledWith([{ name: JobName.SMART_SEARCH, data: { id: assetStub.image.id } }]);
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expect(assetMock.getAll).toHaveBeenCalled();
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expect(searchMock.deleteAllSearchEmbeddings).toHaveBeenCalled();
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});
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});
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describe('handleEncodeClip', () => {
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it('should do nothing if machine learning is disabled', async () => {
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configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
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await sut.handleEncodeClip({ id: '123' });
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expect(assetMock.getByIds).not.toHaveBeenCalled();
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expect(machineMock.encodeImage).not.toHaveBeenCalled();
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});
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it('should skip assets without a resize path', async () => {
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const asset = { previewPath: '' } as AssetEntity;
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assetMock.getByIds.mockResolvedValue([asset]);
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await sut.handleEncodeClip({ id: asset.id });
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expect(searchMock.upsert).not.toHaveBeenCalled();
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expect(machineMock.encodeImage).not.toHaveBeenCalled();
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});
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it('should save the returned objects', async () => {
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machineMock.encodeImage.mockResolvedValue([0.01, 0.02, 0.03]);
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await sut.handleEncodeClip({ id: asset.id });
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expect(machineMock.encodeImage).toHaveBeenCalledWith(
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'http://immich-machine-learning:3003',
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{ imagePath: 'path/to/resize.ext' },
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{ enabled: true, modelName: 'ViT-B-32__openai' },
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);
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expect(searchMock.upsert).toHaveBeenCalledWith('asset-1', [0.01, 0.02, 0.03]);
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});
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});
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describe('getCLIPModelInfo', () => {
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it('should return the model info', () => {
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expect(getCLIPModelInfo('ViT-B-32__openai')).toEqual({ dimSize: 512 });
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expect(getCLIPModelInfo('M-CLIP/XLM-Roberta-Large-Vit-L-14')).toEqual({ dimSize: 768 });
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});
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it('should clean the model name', () => {
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expect(getCLIPModelInfo('ViT-B-32::openai')).toEqual({ dimSize: 512 });
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});
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it('should throw an error if the model is not present', () => {
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expect(() => getCLIPModelInfo('test-model')).toThrow('Unknown CLIP model: test-model');
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});
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});
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});
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