feat(server,ml): remove image tagging (#5903)
* remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
This commit is contained in:
@@ -18,15 +18,6 @@ export class ModelConfig {
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modelType?: ModelType;
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}
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export class ClassificationConfig extends ModelConfig {
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@IsNumber()
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@Min(0)
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@Max(1)
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@Type(() => Number)
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@ApiProperty({ type: 'integer' })
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minScore!: number;
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}
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export class CLIPConfig extends ModelConfig {
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@IsEnum(CLIPMode)
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@Optional()
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@@ -47,107 +47,6 @@ describe(SmartInfoService.name, () => {
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expect(sut).toBeDefined();
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});
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describe('handleQueueObjectTagging', () => {
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beforeEach(async () => {
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_CLASSIFICATION_ENABLED, value: true },
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]);
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});
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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.handleQueueObjectTagging({});
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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 tags', async () => {
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_CLASSIFICATION_ENABLED, value: true },
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]);
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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.handleQueueObjectTagging({ force: false });
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expect(jobMock.queue.mock.calls).toEqual([[{ name: JobName.CLASSIFY_IMAGE, data: { id: assetStub.image.id } }]]);
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expect(assetMock.getWithout).toHaveBeenCalledWith({ skip: 0, take: 1000 }, WithoutProperty.OBJECT_TAGS);
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});
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it('should queue all the assets', async () => {
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_CLASSIFICATION_ENABLED, value: true },
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]);
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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.handleQueueObjectTagging({ force: true });
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expect(jobMock.queue.mock.calls).toEqual([[{ name: JobName.CLASSIFY_IMAGE, data: { id: assetStub.image.id } }]]);
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expect(assetMock.getAll).toHaveBeenCalled();
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});
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});
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describe('handleClassifyImage', () => {
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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.handleClassifyImage({ id: '123' });
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expect(machineMock.classifyImage).not.toHaveBeenCalled();
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expect(assetMock.getByIds).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 = { resizePath: '' } as AssetEntity;
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assetMock.getByIds.mockResolvedValue([asset]);
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await sut.handleClassifyImage({ id: asset.id });
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expect(smartMock.upsert).not.toHaveBeenCalled();
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expect(machineMock.classifyImage).not.toHaveBeenCalled();
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});
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it('should save the returned tags', async () => {
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_CLASSIFICATION_ENABLED, value: true },
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]);
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machineMock.classifyImage.mockResolvedValue(['tag1', 'tag2', 'tag3']);
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await sut.handleClassifyImage({ id: asset.id });
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expect(machineMock.classifyImage).toHaveBeenCalledWith(
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'http://immich-machine-learning:3003',
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{
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imagePath: 'path/to/resize.ext',
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},
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{ enabled: true, minScore: 0.9, modelName: 'microsoft/resnet-50' },
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);
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expect(smartMock.upsert).toHaveBeenCalledWith({
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assetId: 'asset-1',
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tags: ['tag1', 'tag2', 'tag3'],
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});
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});
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it('should always overwrite old tags', async () => {
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_CLASSIFICATION_ENABLED, value: true },
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]);
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machineMock.classifyImage.mockResolvedValue([]);
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await sut.handleClassifyImage({ id: asset.id });
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expect(machineMock.classifyImage).toHaveBeenCalled();
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expect(smartMock.upsert).toHaveBeenCalled();
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});
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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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@@ -46,48 +46,6 @@ export class SmartInfoService {
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await this.jobRepository.resume(QueueName.SMART_SEARCH);
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}
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async handleQueueObjectTagging({ force }: IBaseJob) {
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const { machineLearning } = await this.configCore.getConfig();
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if (!machineLearning.enabled || !machineLearning.classification.enabled) {
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return true;
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}
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const assetPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) => {
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return force
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? this.assetRepository.getAll(pagination)
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: this.assetRepository.getWithout(pagination, WithoutProperty.OBJECT_TAGS);
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});
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for await (const assets of assetPagination) {
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for (const asset of assets) {
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await this.jobRepository.queue({ name: JobName.CLASSIFY_IMAGE, data: { id: asset.id } });
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}
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}
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return true;
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}
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async handleClassifyImage({ id }: IEntityJob) {
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const { machineLearning } = await this.configCore.getConfig();
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if (!machineLearning.enabled || !machineLearning.classification.enabled) {
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return true;
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}
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const [asset] = await this.assetRepository.getByIds([id]);
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if (!asset.resizePath) {
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return false;
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}
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const tags = await this.machineLearning.classifyImage(
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machineLearning.url,
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{ imagePath: asset.resizePath },
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machineLearning.classification,
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);
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await this.repository.upsert({ assetId: asset.id, tags });
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return true;
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}
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async handleQueueEncodeClip({ force }: IBaseJob) {
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const { machineLearning } = await this.configCore.getConfig();
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if (!machineLearning.enabled || !machineLearning.clip.enabled) {
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