feat(server/web) Add manual job trigger mechanism to the web (#767)

mobile/openapi/.openapi-generator/FILES

@@ -8,6 +8,7 @@ doc/AdminSignupResponseDto.md
 doc/AlbumApi.md
 doc/AlbumCountResponseDto.md
 doc/AlbumResponseDto.md
+doc/AllJobStatusResponseDto.md
 doc/AssetApi.md
 doc/AssetCountByTimeBucket.md
 doc/AssetCountByTimeBucketResponseDto.md
@@ -33,6 +34,12 @@ doc/DeviceTypeEnum.md
 doc/ExifResponseDto.md
 doc/GetAssetByTimeBucketDto.md
 doc/GetAssetCountByTimeBucketDto.md
+doc/JobApi.md
+doc/JobCommand.md
+doc/JobCommandDto.md
+doc/JobCounts.md
+doc/JobId.md
+doc/JobStatusResponseDto.md
 doc/LoginCredentialDto.md
 doc/LoginResponseDto.md
 doc/LogoutResponseDto.md
@@ -59,6 +66,7 @@ lib/api/album_api.dart
 lib/api/asset_api.dart
 lib/api/authentication_api.dart
 lib/api/device_info_api.dart
+lib/api/job_api.dart
 lib/api/server_info_api.dart
 lib/api/user_api.dart
 lib/api_client.dart
@@ -74,6 +82,7 @@ lib/model/add_users_dto.dart
 lib/model/admin_signup_response_dto.dart
 lib/model/album_count_response_dto.dart
 lib/model/album_response_dto.dart
+lib/model/all_job_status_response_dto.dart
 lib/model/asset_count_by_time_bucket.dart
 lib/model/asset_count_by_time_bucket_response_dto.dart
 lib/model/asset_count_by_user_id_response_dto.dart
@@ -96,6 +105,11 @@ lib/model/device_type_enum.dart
 lib/model/exif_response_dto.dart
 lib/model/get_asset_by_time_bucket_dto.dart
 lib/model/get_asset_count_by_time_bucket_dto.dart
+lib/model/job_command.dart
+lib/model/job_command_dto.dart
+lib/model/job_counts.dart
+lib/model/job_id.dart
+lib/model/job_status_response_dto.dart
 lib/model/login_credential_dto.dart
 lib/model/login_response_dto.dart
 lib/model/logout_response_dto.dart

server/.dockerignore

@@ -1,4 +1,4 @@
 node_modules/
 upload/
 dist/
-
+.reverse-geocoding-dump

server/apps/immich/src/api-v1/album/album.service.spec.ts

@@ -134,6 +134,9 @@ describe('Album service', () => {
       getAssetByTimeBucket: jest.fn(),
       getAssetByChecksum: jest.fn(),
       getAssetCountByUserId: jest.fn(),
+      getAssetWithNoEXIF: jest.fn(),
+      getAssetWithNoThumbnail: jest.fn(),
+      getAssetWithNoSmartInfo: jest.fn(),
     };
 
     sut = new AlbumService(albumRepositoryMock, assetRepositoryMock);

server/apps/immich/src/api-v1/asset/asset-repository.ts

@@ -29,6 +29,9 @@ export interface IAssetRepository {
   getAssetCountByUserId(userId: string): Promise<AssetCountByUserIdResponseDto>;
   getAssetByTimeBucket(userId: string, getAssetByTimeBucketDto: GetAssetByTimeBucketDto): Promise<AssetEntity[]>;
   getAssetByChecksum(userId: string, checksum: Buffer): Promise<AssetEntity>;
+  getAssetWithNoThumbnail(): Promise<AssetEntity[]>;
+  getAssetWithNoEXIF(): Promise<AssetEntity[]>;
+  getAssetWithNoSmartInfo(): Promise<AssetEntity[]>;
 }
 
 export const ASSET_REPOSITORY = 'ASSET_REPOSITORY';
@@ -40,6 +43,33 @@ export class AssetRepository implements IAssetRepository {
     private assetRepository: Repository<AssetEntity>,
   ) {}
 
+  async getAssetWithNoSmartInfo(): Promise<AssetEntity[]> {
+    return await this.assetRepository
+      .createQueryBuilder('asset')
+      .leftJoinAndSelect('asset.smartInfo', 'si')
+      .where('asset.resizePath IS NOT NULL')
+      .andWhere('si.id IS NULL')
+      .getMany();
+  }
+
+  async getAssetWithNoThumbnail(): Promise<AssetEntity[]> {
+    return await this.assetRepository
+      .createQueryBuilder('asset')
+      .where('asset.resizePath IS NULL')
+      .orWhere('asset.resizePath = :resizePath', { resizePath: '' })
+      .orWhere('asset.webpPath IS NULL')
+      .orWhere('asset.webpPath = :webpPath', { webpPath: '' })
+      .getMany();
+  }
+
+  async getAssetWithNoEXIF(): Promise<AssetEntity[]> {
+    return await this.assetRepository
+      .createQueryBuilder('asset')
+      .leftJoinAndSelect('asset.exifInfo', 'ei')
+      .where('ei."assetId" IS NULL')
+      .getMany();
+  }
+
   async getAssetCountByUserId(userId: string): Promise<AssetCountByUserIdResponseDto> {
     // Get asset count by AssetType
     const res = await this.assetRepository

server/apps/immich/src/api-v1/asset/asset.controller.ts

@@ -30,7 +30,7 @@ import { CommunicationGateway } from '../communication/communication.gateway';
 import { InjectQueue } from '@nestjs/bull';
 import { Queue } from 'bull';
 import { IAssetUploadedJob } from '@app/job/index';
-import { assetUploadedQueueName } from '@app/job/constants/queue-name.constant';
+import { QueueNameEnum } from '@app/job/constants/queue-name.constant';
 import { assetUploadedProcessorName } from '@app/job/constants/job-name.constant';
 import { CheckDuplicateAssetDto } from './dto/check-duplicate-asset.dto';
 import { ApiBearerAuth, ApiBody, ApiConsumes, ApiTags } from '@nestjs/swagger';
@@ -59,7 +59,7 @@ export class AssetController {
     private assetService: AssetService,
     private backgroundTaskService: BackgroundTaskService,
 
-    @InjectQueue(assetUploadedQueueName)
+    @InjectQueue(QueueNameEnum.ASSET_UPLOADED)
     private assetUploadedQueue: Queue<IAssetUploadedJob>,
   ) {}
 

server/apps/immich/src/api-v1/asset/asset.module.ts

@@ -7,7 +7,7 @@ import { BullModule } from '@nestjs/bull';
 import { BackgroundTaskModule } from '../../modules/background-task/background-task.module';
 import { BackgroundTaskService } from '../../modules/background-task/background-task.service';
 import { CommunicationModule } from '../communication/communication.module';
-import { assetUploadedQueueName } from '@app/job/constants/queue-name.constant';
+import { QueueNameEnum } from '@app/job/constants/queue-name.constant';
 import { AssetRepository, ASSET_REPOSITORY } from './asset-repository';
 
 @Module({
@@ -16,7 +16,7 @@ import { AssetRepository, ASSET_REPOSITORY } from './asset-repository';
     BackgroundTaskModule,
     TypeOrmModule.forFeature([AssetEntity]),
     BullModule.registerQueue({
-      name: assetUploadedQueueName,
+      name: QueueNameEnum.ASSET_UPLOADED,
       defaultJobOptions: {
         attempts: 3,
         removeOnComplete: true,

server/apps/immich/src/api-v1/asset/asset.service.spec.ts

@@ -107,6 +107,9 @@ describe('AssetService', () => {
       getAssetByTimeBucket: jest.fn(),
       getAssetByChecksum: jest.fn(),
       getAssetCountByUserId: jest.fn(),
+      getAssetWithNoEXIF: jest.fn(),
+      getAssetWithNoThumbnail: jest.fn(),
+      getAssetWithNoSmartInfo: jest.fn(),
     };
 
     sui = new AssetService(assetRepositoryMock, a);

server/apps/immich/src/api-v1/asset/response-dto/exif-response.dto.ts

@@ -1,12 +1,16 @@
 import { ExifEntity } from '@app/database/entities/exif.entity';
+import { ApiProperty } from '@nestjs/swagger';
 
 export class ExifResponseDto {
-  id?: string | null = null;
+  @ApiProperty({ type: 'integer', format: 'int64' })
+  id?: number | null = null;
   make?: string | null = null;
   model?: string | null = null;
   imageName?: string | null = null;
   exifImageWidth?: number | null = null;
   exifImageHeight?: number | null = null;
+
+  @ApiProperty({ type: 'integer', format: 'int64' })
   fileSizeInByte?: number | null = null;
   orientation?: string | null = null;
   dateTimeOriginal?: Date | null = null;
@@ -25,13 +29,13 @@ export class ExifResponseDto {
 
 export function mapExif(entity: ExifEntity): ExifResponseDto {
   return {
-    id: entity.id,
+    id: parseInt(entity.id),
     make: entity.make,
     model: entity.model,
     imageName: entity.imageName,
     exifImageWidth: entity.exifImageWidth,
     exifImageHeight: entity.exifImageHeight,
-    fileSizeInByte: entity.fileSizeInByte,
+    fileSizeInByte: entity.fileSizeInByte ? parseInt(entity.fileSizeInByte.toString()) : null,
     orientation: entity.orientation,
     dateTimeOriginal: entity.dateTimeOriginal,
     modifyDate: entity.modifyDate,

server/apps/immich/src/api-v1/job/dto/get-job.dto.ts

@@ -0,0 +1,21 @@
+import { ApiProperty } from '@nestjs/swagger';
+import { IsEnum, IsNotEmpty } from 'class-validator';
+
+export enum JobId {
+  THUMBNAIL_GENERATION = 'thumbnail-generation',
+  METADATA_EXTRACTION = 'metadata-extraction',
+  VIDEO_CONVERSION = 'video-conversion',
+  MACHINE_LEARNING = 'machine-learning',
+}
+
+export class GetJobDto {
+  @IsNotEmpty()
+  @IsEnum(JobId, {
+    message: `params must be one of ${Object.values(JobId).join()}`,
+  })
+  @ApiProperty({
+    enum: JobId,
+    enumName: 'JobId',
+  })
+  jobId!: string;
+}

server/apps/immich/src/api-v1/job/dto/job-command.dto.ts

@@ -0,0 +1,12 @@
+import { ApiProperty } from '@nestjs/swagger';
+import { IsIn, IsNotEmpty } from 'class-validator';
+
+export class JobCommandDto {
+  @IsNotEmpty()
+  @IsIn(['start', 'stop'])
+  @ApiProperty({
+    enum: ['start', 'stop'],
+    enumName: 'JobCommand',
+  })
+  command!: string;
+}

server/apps/immich/src/api-v1/job/job.controller.ts

@@ -0,0 +1,43 @@
+import { Controller, Get, Body, UseGuards, ValidationPipe, Put, Param } from '@nestjs/common';
+import { JobService } from './job.service';
+import { ApiBearerAuth, ApiTags } from '@nestjs/swagger';
+import { JwtAuthGuard } from '../../modules/immich-jwt/guards/jwt-auth.guard';
+import { AdminRolesGuard } from '../../middlewares/admin-role-guard.middleware';
+import { AllJobStatusResponseDto } from './response-dto/all-job-status-response.dto';
+import { GetJobDto } from './dto/get-job.dto';
+import { JobStatusResponseDto } from './response-dto/job-status-response.dto';
+
+import { JobCommandDto } from './dto/job-command.dto';
+
+@UseGuards(JwtAuthGuard)
+@UseGuards(AdminRolesGuard)
+@ApiTags('Job')
+@ApiBearerAuth()
+@Controller('jobs')
+export class JobController {
+  constructor(private readonly jobService: JobService) {}
+
+  @Get()
+  getAllJobsStatus(): Promise<AllJobStatusResponseDto> {
+    return this.jobService.getAllJobsStatus();
+  }
+
+  @Get('/:jobId')
+  getJobStatus(@Param(ValidationPipe) params: GetJobDto): Promise<JobStatusResponseDto> {
+    return this.jobService.getJobStatus(params);
+  }
+
+  @Put('/:jobId')
+  async sendJobCommand(
+    @Param(ValidationPipe) params: GetJobDto,
+    @Body(ValidationPipe) body: JobCommandDto,
+  ): Promise<number> {
+    if (body.command === 'start') {
+      return await this.jobService.startJob(params);
+    }
+    if (body.command === 'stop') {
+      return await this.jobService.stopJob(params);
+    }
+    return 0;
+  }
+}

server/apps/immich/src/api-v1/job/job.module.ts

@@ -0,0 +1,82 @@
+import { Module } from '@nestjs/common';
+import { JobService } from './job.service';
+import { JobController } from './job.controller';
+import { ImmichJwtService } from '../../modules/immich-jwt/immich-jwt.service';
+import { ImmichJwtModule } from '../../modules/immich-jwt/immich-jwt.module';
+import { JwtModule } from '@nestjs/jwt';
+import { jwtConfig } from '../../config/jwt.config';
+import { UserEntity } from '@app/database/entities/user.entity';
+import { TypeOrmModule } from '@nestjs/typeorm';
+import { BullModule } from '@nestjs/bull';
+import { QueueNameEnum } from '@app/job';
+import { AssetEntity } from '@app/database/entities/asset.entity';
+import { ExifEntity } from '@app/database/entities/exif.entity';
+import { AssetRepository, ASSET_REPOSITORY } from '../asset/asset-repository';
+
+@Module({
+  imports: [
+    TypeOrmModule.forFeature([UserEntity, AssetEntity, ExifEntity]),
+    ImmichJwtModule,
+    JwtModule.register(jwtConfig),
+    BullModule.registerQueue(
+      {
+        name: QueueNameEnum.THUMBNAIL_GENERATION,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.ASSET_UPLOADED,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.METADATA_EXTRACTION,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.VIDEO_CONVERSION,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.CHECKSUM_GENERATION,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.MACHINE_LEARNING,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+    ),
+  ],
+  controllers: [JobController],
+  providers: [
+    JobService,
+    ImmichJwtService,
+    {
+      provide: ASSET_REPOSITORY,
+      useClass: AssetRepository,
+    },
+  ],
+})
+export class JobModule {}

server/apps/immich/src/api-v1/job/job.service.ts

@@ -0,0 +1,180 @@
+import {
+  exifExtractionProcessorName,
+  generateJPEGThumbnailProcessorName,
+  IMetadataExtractionJob,
+  IThumbnailGenerationJob,
+  IVideoTranscodeJob,
+  MachineLearningJobNameEnum,
+  QueueNameEnum,
+  videoMetadataExtractionProcessorName,
+} from '@app/job';
+import { InjectQueue } from '@nestjs/bull';
+import { Queue } from 'bull';
+import { BadRequestException, Inject, Injectable } from '@nestjs/common';
+import { AllJobStatusResponseDto } from './response-dto/all-job-status-response.dto';
+import { randomUUID } from 'crypto';
+import { ASSET_REPOSITORY, IAssetRepository } from '../asset/asset-repository';
+import { AssetType } from '@app/database/entities/asset.entity';
+import { GetJobDto, JobId } from './dto/get-job.dto';
+import { JobStatusResponseDto } from './response-dto/job-status-response.dto';
+import { IMachineLearningJob } from '@app/job/interfaces/machine-learning.interface';
+
+@Injectable()
+export class JobService {
+  constructor(
+    @InjectQueue(QueueNameEnum.THUMBNAIL_GENERATION)
+    private thumbnailGeneratorQueue: Queue<IThumbnailGenerationJob>,
+
+    @InjectQueue(QueueNameEnum.METADATA_EXTRACTION)
+    private metadataExtractionQueue: Queue<IMetadataExtractionJob>,
+
+    @InjectQueue(QueueNameEnum.VIDEO_CONVERSION)
+    private videoConversionQueue: Queue<IVideoTranscodeJob>,
+
+    @InjectQueue(QueueNameEnum.MACHINE_LEARNING)
+    private machineLearningQueue: Queue<IMachineLearningJob>,
+
+    @Inject(ASSET_REPOSITORY)
+    private _assetRepository: IAssetRepository,
+  ) {
+    this.thumbnailGeneratorQueue.empty();
+    this.metadataExtractionQueue.empty();
+    this.videoConversionQueue.empty();
+  }
+
+  async startJob(jobDto: GetJobDto): Promise<number> {
+    switch (jobDto.jobId) {
+      case JobId.THUMBNAIL_GENERATION:
+        return this.runThumbnailGenerationJob();
+      case JobId.METADATA_EXTRACTION:
+        return this.runMetadataExtractionJob();
+      case JobId.VIDEO_CONVERSION:
+        return 0;
+      case JobId.MACHINE_LEARNING:
+        return this.runMachineLearningPipeline();
+      default:
+        throw new BadRequestException('Invalid job id');
+    }
+  }
+
+  async getAllJobsStatus(): Promise<AllJobStatusResponseDto> {
+    const thumbnailGeneratorJobCount = await this.thumbnailGeneratorQueue.getJobCounts();
+    const metadataExtractionJobCount = await this.metadataExtractionQueue.getJobCounts();
+    const videoConversionJobCount = await this.videoConversionQueue.getJobCounts();
+    const machineLearningJobCount = await this.machineLearningQueue.getJobCounts();
+
+    const response = new AllJobStatusResponseDto();
+    response.isThumbnailGenerationActive = Boolean(thumbnailGeneratorJobCount.waiting);
+    response.thumbnailGenerationQueueCount = thumbnailGeneratorJobCount;
+    response.isMetadataExtractionActive = Boolean(metadataExtractionJobCount.waiting);
+    response.metadataExtractionQueueCount = metadataExtractionJobCount;
+    response.isVideoConversionActive = Boolean(videoConversionJobCount.waiting);
+    response.videoConversionQueueCount = videoConversionJobCount;
+    response.isMachineLearningActive = Boolean(machineLearningJobCount.waiting);
+    response.machineLearningQueueCount = machineLearningJobCount;
+
+    return response;
+  }
+
+  async getJobStatus(query: GetJobDto): Promise<JobStatusResponseDto> {
+    const response = new JobStatusResponseDto();
+    if (query.jobId === JobId.THUMBNAIL_GENERATION) {
+      response.isActive = Boolean((await this.thumbnailGeneratorQueue.getJobCounts()).waiting);
+      response.queueCount = await this.thumbnailGeneratorQueue.getJobCounts();
+    }
+
+    if (query.jobId === JobId.METADATA_EXTRACTION) {
+      response.isActive = Boolean((await this.metadataExtractionQueue.getJobCounts()).waiting);
+      response.queueCount = await this.metadataExtractionQueue.getJobCounts();
+    }
+
+    if (query.jobId === JobId.VIDEO_CONVERSION) {
+      response.isActive = Boolean((await this.videoConversionQueue.getJobCounts()).waiting);
+      response.queueCount = await this.videoConversionQueue.getJobCounts();
+    }
+
+    return response;
+  }
+
+  async stopJob(query: GetJobDto): Promise<number> {
+    switch (query.jobId) {
+      case JobId.THUMBNAIL_GENERATION:
+        this.thumbnailGeneratorQueue.empty();
+        return 0;
+      case JobId.METADATA_EXTRACTION:
+        this.metadataExtractionQueue.empty();
+        return 0;
+      case JobId.VIDEO_CONVERSION:
+        this.videoConversionQueue.empty();
+        return 0;
+      case JobId.MACHINE_LEARNING:
+        this.machineLearningQueue.empty();
+        return 0;
+      default:
+        throw new BadRequestException('Invalid job id');
+    }
+  }
+
+  private async runThumbnailGenerationJob(): Promise<number> {
+    const jobCount = await this.thumbnailGeneratorQueue.getJobCounts();
+
+    if (jobCount.waiting > 0) {
+      throw new BadRequestException('Thumbnail generation job is already running');
+    }
+
+    const assetsWithNoThumbnail = await this._assetRepository.getAssetWithNoThumbnail();
+
+    for (const asset of assetsWithNoThumbnail) {
+      await this.thumbnailGeneratorQueue.add(generateJPEGThumbnailProcessorName, { asset }, { jobId: randomUUID() });
+    }
+
+    return assetsWithNoThumbnail.length;
+  }
+
+  private async runMetadataExtractionJob(): Promise<number> {
+    const jobCount = await this.metadataExtractionQueue.getJobCounts();
+
+    if (jobCount.waiting > 0) {
+      throw new BadRequestException('Metadata extraction job is already running');
+    }
+
+    const assetsWithNoExif = await this._assetRepository.getAssetWithNoEXIF();
+    for (const asset of assetsWithNoExif) {
+      if (asset.type === AssetType.VIDEO) {
+        await this.metadataExtractionQueue.add(
+          videoMetadataExtractionProcessorName,
+          { asset, fileName: asset.id },
+          { jobId: randomUUID() },
+        );
+      } else {
+        await this.metadataExtractionQueue.add(
+          exifExtractionProcessorName,
+          { asset, fileName: asset.id },
+          { jobId: randomUUID() },
+        );
+      }
+    }
+    return assetsWithNoExif.length;
+  }
+
+  private async runMachineLearningPipeline(): Promise<number> {
+    const jobCount = await this.machineLearningQueue.getJobCounts();
+
+    if (jobCount.waiting > 0) {
+      throw new BadRequestException('Metadata extraction job is already running');
+    }
+
+    const assetWithNoSmartInfo = await this._assetRepository.getAssetWithNoSmartInfo();
+
+    for (const asset of assetWithNoSmartInfo) {
+      await this.machineLearningQueue.add(MachineLearningJobNameEnum.IMAGE_TAGGING, { asset }, { jobId: randomUUID() });
+      await this.machineLearningQueue.add(
+        MachineLearningJobNameEnum.OBJECT_DETECTION,
+        { asset },
+        { jobId: randomUUID() },
+      );
+    }
+
+    return assetWithNoSmartInfo.length;
+  }
+}

server/apps/immich/src/api-v1/job/response-dto/all-job-status-response.dto.ts

@@ -0,0 +1,35 @@
+import { ApiProperty } from '@nestjs/swagger';
+
+export class JobCounts {
+  active!: number;
+  completed!: number;
+  failed!: number;
+  delayed!: number;
+  waiting!: number;
+}
+export class AllJobStatusResponseDto {
+  isThumbnailGenerationActive!: boolean;
+  isMetadataExtractionActive!: boolean;
+  isVideoConversionActive!: boolean;
+  isMachineLearningActive!: boolean;
+
+  @ApiProperty({
+    type: JobCounts,
+  })
+  thumbnailGenerationQueueCount!: JobCounts;
+
+  @ApiProperty({
+    type: JobCounts,
+  })
+  metadataExtractionQueueCount!: JobCounts;
+
+  @ApiProperty({
+    type: JobCounts,
+  })
+  videoConversionQueueCount!: JobCounts;
+
+  @ApiProperty({
+    type: JobCounts,
+  })
+  machineLearningQueueCount!: JobCounts;
+}

server/apps/immich/src/api-v1/job/response-dto/job-status-response.dto.ts

@@ -0,0 +1,6 @@
+import Bull from 'bull';
+
+export class JobStatusResponseDto {
+  isActive!: boolean;
+  queueCount!: Bull.JobCounts;
+}

server/apps/immich/src/api-v1/server-info/response-dto/server-info-response.dto.ts

@@ -5,13 +5,13 @@ export class ServerInfoResponseDto {
   diskUse!: string;
   diskAvailable!: string;
 
-  @ApiProperty({ type: 'integer' })
+  @ApiProperty({ type: 'integer', format: 'int64' })
   diskSizeRaw!: number;
 
-  @ApiProperty({ type: 'integer' })
+  @ApiProperty({ type: 'integer', format: 'int64' })
   diskUseRaw!: number;
 
-  @ApiProperty({ type: 'integer' })
+  @ApiProperty({ type: 'integer', format: 'int64' })
   diskAvailableRaw!: number;
 
   @ApiProperty({ type: 'number', format: 'float' })

server/apps/immich/src/app.module.ts

@@ -15,6 +15,7 @@ import { AppController } from './app.controller';
 import { ScheduleModule } from '@nestjs/schedule';
 import { ScheduleTasksModule } from './modules/schedule-tasks/schedule-tasks.module';
 import { DatabaseModule } from '@app/database';
+import { JobModule } from './api-v1/job/job.module';
 
 @Module({
   imports: [
@@ -55,6 +56,8 @@ import { DatabaseModule } from '@app/database';
     ScheduleModule.forRoot(),
 
     ScheduleTasksModule,
+
+    JobModule,
   ],
   controllers: [AppController],
   providers: [],

server/apps/immich/src/modules/schedule-tasks/schedule-tasks.module.ts

@@ -3,18 +3,14 @@ import { Module } from '@nestjs/common';
 import { TypeOrmModule } from '@nestjs/typeorm';
 import { AssetEntity } from '@app/database/entities/asset.entity';
 import { ScheduleTasksService } from './schedule-tasks.service';
-import {
-  metadataExtractionQueueName,
-  thumbnailGeneratorQueueName,
-  videoConversionQueueName,
-} from '@app/job/constants/queue-name.constant';
+import { QueueNameEnum } from '@app/job/constants/queue-name.constant';
 import { ExifEntity } from '@app/database/entities/exif.entity';
 
 @Module({
   imports: [
     TypeOrmModule.forFeature([AssetEntity, ExifEntity]),
     BullModule.registerQueue({
-      name: videoConversionQueueName,
+      name: QueueNameEnum.VIDEO_CONVERSION,
       defaultJobOptions: {
         attempts: 3,
         removeOnComplete: true,
@@ -22,7 +18,7 @@ import { ExifEntity } from '@app/database/entities/exif.entity';
       },
     }),
     BullModule.registerQueue({
-      name: thumbnailGeneratorQueueName,
+      name: QueueNameEnum.THUMBNAIL_GENERATION,
       defaultJobOptions: {
         attempts: 3,
         removeOnComplete: true,
@@ -31,7 +27,7 @@ import { ExifEntity } from '@app/database/entities/exif.entity';
     }),
 
     BullModule.registerQueue({
-      name: metadataExtractionQueueName,
+      name: QueueNameEnum.METADATA_EXTRACTION,
       defaultJobOptions: {
         attempts: 3,
         removeOnComplete: true,

server/apps/immich/src/modules/schedule-tasks/schedule-tasks.service.ts

@@ -12,11 +12,9 @@ import {
   generateWEBPThumbnailProcessorName,
   IMetadataExtractionJob,
   IVideoTranscodeJob,
-  metadataExtractionQueueName,
   mp4ConversionProcessorName,
+  QueueNameEnum,
   reverseGeocodingProcessorName,
-  thumbnailGeneratorQueueName,
-  videoConversionQueueName,
   videoMetadataExtractionProcessorName,
 } from '@app/job';
 import { ConfigService } from '@nestjs/config';
@@ -30,13 +28,13 @@ export class ScheduleTasksService {
     @InjectRepository(ExifEntity)
     private exifRepository: Repository<ExifEntity>,
 
-    @InjectQueue(thumbnailGeneratorQueueName)
+    @InjectQueue(QueueNameEnum.THUMBNAIL_GENERATION)
     private thumbnailGeneratorQueue: Queue,
 
-    @InjectQueue(videoConversionQueueName)
+    @InjectQueue(QueueNameEnum.VIDEO_CONVERSION)
     private videoConversionQueue: Queue<IVideoTranscodeJob>,
 
-    @InjectQueue(metadataExtractionQueueName)
+    @InjectQueue(QueueNameEnum.METADATA_EXTRACTION)
     private metadataExtractionQueue: Queue<IMetadataExtractionJob>,
 
     private configService: ConfigService,
@@ -108,11 +106,11 @@ export class ScheduleTasksService {
 
   @Cron(CronExpression.EVERY_DAY_AT_3AM)
   async extractExif() {
-    const exifAssets = await this.assetRepository.find({
-      where: {
-        exifInfo: IsNull(),
-      },
-    });
+    const exifAssets = await this.assetRepository
+      .createQueryBuilder('asset')
+      .leftJoinAndSelect('asset.exifInfo', 'ei')
+      .where('ei."assetId" IS NULL')
+      .getMany();
 
     for (const asset of exifAssets) {
       if (asset.type === AssetType.VIDEO) {

server/apps/microservices/src/microservices.module.ts

@@ -4,13 +4,7 @@ import { AssetEntity } from '@app/database/entities/asset.entity';
 import { ExifEntity } from '@app/database/entities/exif.entity';
 import { SmartInfoEntity } from '@app/database/entities/smart-info.entity';
 import { UserEntity } from '@app/database/entities/user.entity';
-import {
-  assetUploadedQueueName,
-  generateChecksumQueueName,
-  metadataExtractionQueueName,
-  thumbnailGeneratorQueueName,
-  videoConversionQueueName,
-} from '@app/job/constants/queue-name.constant';
+import { QueueNameEnum } from '@app/job/constants/queue-name.constant';
 import { BullModule } from '@nestjs/bull';
 import { Module } from '@nestjs/common';
 import { ConfigModule, ConfigService } from '@nestjs/config';
@@ -19,6 +13,7 @@ import { CommunicationModule } from '../../immich/src/api-v1/communication/commu
 import { MicroservicesService } from './microservices.service';
 import { AssetUploadedProcessor } from './processors/asset-uploaded.processor';
 import { GenerateChecksumProcessor } from './processors/generate-checksum.processor';
+import { MachineLearningProcessor } from './processors/machine-learning.processor';
 import { MetadataExtractionProcessor } from './processors/metadata-extraction.processor';
 import { ThumbnailGeneratorProcessor } from './processors/thumbnail.processor';
 import { VideoTranscodeProcessor } from './processors/video-transcode.processor';
@@ -42,7 +37,7 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
     }),
     BullModule.registerQueue(
       {
-        name: thumbnailGeneratorQueueName,
+        name: QueueNameEnum.THUMBNAIL_GENERATION,
         defaultJobOptions: {
           attempts: 3,
           removeOnComplete: true,
@@ -50,7 +45,7 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
         },
       },
       {
-        name: assetUploadedQueueName,
+        name: QueueNameEnum.ASSET_UPLOADED,
         defaultJobOptions: {
           attempts: 3,
           removeOnComplete: true,
@@ -58,7 +53,7 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
         },
       },
       {
-        name: metadataExtractionQueueName,
+        name: QueueNameEnum.METADATA_EXTRACTION,
         defaultJobOptions: {
           attempts: 3,
           removeOnComplete: true,
@@ -66,7 +61,7 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
         },
       },
       {
-        name: videoConversionQueueName,
+        name: QueueNameEnum.VIDEO_CONVERSION,
         defaultJobOptions: {
           attempts: 3,
           removeOnComplete: true,
@@ -74,7 +69,15 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
         },
       },
       {
-        name: generateChecksumQueueName,
+        name: QueueNameEnum.CHECKSUM_GENERATION,
+        defaultJobOptions: {
+          attempts: 3,
+          removeOnComplete: true,
+          removeOnFail: false,
+        },
+      },
+      {
+        name: QueueNameEnum.MACHINE_LEARNING,
         defaultJobOptions: {
           attempts: 3,
           removeOnComplete: true,
@@ -92,6 +95,7 @@ import { VideoTranscodeProcessor } from './processors/video-transcode.processor'
     MetadataExtractionProcessor,
     VideoTranscodeProcessor,
     GenerateChecksumProcessor,
+    MachineLearningProcessor,
     ConfigService,
   ],
   exports: [],

server/apps/microservices/src/microservices.service.ts

@@ -1,4 +1,4 @@
-import { generateChecksumQueueName } from '@app/job';
+import { QueueNameEnum } from '@app/job';
 import { InjectQueue } from '@nestjs/bull';
 import { Injectable, OnModuleInit } from '@nestjs/common';
 import { Queue } from 'bull';
@@ -7,13 +7,17 @@ import { randomUUID } from 'node:crypto';
 @Injectable()
 export class MicroservicesService implements OnModuleInit {
   constructor(
-    @InjectQueue(generateChecksumQueueName)
+    @InjectQueue(QueueNameEnum.CHECKSUM_GENERATION)
     private generateChecksumQueue: Queue,
   ) {}
 
   async onModuleInit() {
-    await this.generateChecksumQueue.add({}, {
-      jobId: randomUUID(), delay: 10000 // wait for migration
-    });
+    await this.generateChecksumQueue.add(
+      {},
+      {
+        jobId: randomUUID(),
+        delay: 10000, // wait for migration
+      },
+    );
   }
 }

server/apps/microservices/src/processors/asset-uploaded.processor.ts

@@ -4,30 +4,27 @@ import {
   IMetadataExtractionJob,
   IThumbnailGenerationJob,
   IVideoTranscodeJob,
-  assetUploadedQueueName,
-  metadataExtractionQueueName,
-  thumbnailGeneratorQueueName,
-  videoConversionQueueName,
   assetUploadedProcessorName,
   exifExtractionProcessorName,
   generateJPEGThumbnailProcessorName,
   mp4ConversionProcessorName,
   videoMetadataExtractionProcessorName,
+  QueueNameEnum,
 } from '@app/job';
 import { InjectQueue, Process, Processor } from '@nestjs/bull';
 import { Job, Queue } from 'bull';
 import { randomUUID } from 'crypto';
 
-@Processor(assetUploadedQueueName)
+@Processor(QueueNameEnum.ASSET_UPLOADED)
 export class AssetUploadedProcessor {
   constructor(
-    @InjectQueue(thumbnailGeneratorQueueName)
+    @InjectQueue(QueueNameEnum.THUMBNAIL_GENERATION)
     private thumbnailGeneratorQueue: Queue<IThumbnailGenerationJob>,
 
-    @InjectQueue(metadataExtractionQueueName)
+    @InjectQueue(QueueNameEnum.METADATA_EXTRACTION)
     private metadataExtractionQueue: Queue<IMetadataExtractionJob>,
 
-    @InjectQueue(videoConversionQueueName)
+    @InjectQueue(QueueNameEnum.VIDEO_CONVERSION)
     private videoConversionQueue: Queue<IVideoTranscodeJob>,
   ) {}
 

server/apps/microservices/src/processors/generate-checksum.processor.ts

@@ -1,5 +1,5 @@
 import { AssetEntity } from '@app/database/entities/asset.entity';
-import { generateChecksumQueueName } from '@app/job';
+import { QueueNameEnum } from '@app/job';
 import { Process, Processor } from '@nestjs/bull';
 import { Logger } from '@nestjs/common';
 import { InjectRepository } from '@nestjs/typeorm';
@@ -8,7 +8,7 @@ import fs from 'node:fs';
 import { FindOptionsWhere, IsNull, MoreThan, QueryFailedError, Repository } from 'typeorm';
 
 // TODO: just temporary task to generate previous uploaded assets.
-@Processor(generateChecksumQueueName)
+@Processor(QueueNameEnum.CHECKSUM_GENERATION)
 export class GenerateChecksumProcessor {
   constructor(
     @InjectRepository(AssetEntity)
@@ -33,7 +33,7 @@ export class GenerateChecksumProcessor {
       const assets = await this.assetRepository.find({
         where: whereStat,
         take: pageSize,
-        order: { id: 'ASC' }
+        order: { id: 'ASC' },
       });
 
       if (!assets?.length) {

server/apps/microservices/src/processors/machine-learning.processor.ts

@@ -0,0 +1,60 @@
+import { AssetEntity } from '@app/database/entities/asset.entity';
+import { SmartInfoEntity } from '@app/database/entities/smart-info.entity';
+import { MachineLearningJobNameEnum, QueueNameEnum } from '@app/job';
+import { IMachineLearningJob } from '@app/job/interfaces/machine-learning.interface';
+import { Process, Processor } from '@nestjs/bull';
+import { Logger } from '@nestjs/common';
+import { InjectRepository } from '@nestjs/typeorm';
+import axios from 'axios';
+import { Job } from 'bull';
+import { Repository } from 'typeorm';
+
+@Processor(QueueNameEnum.MACHINE_LEARNING)
+export class MachineLearningProcessor {
+  constructor(
+    @InjectRepository(SmartInfoEntity)
+    private smartInfoRepository: Repository<SmartInfoEntity>,
+  ) {}
+
+  @Process({ name: MachineLearningJobNameEnum.IMAGE_TAGGING, concurrency: 2 })
+  async tagImage(job: Job<IMachineLearningJob>) {
+    const { asset } = job.data;
+
+    const res = await axios.post('http://immich-machine-learning:3003/image-classifier/tag-image', {
+      thumbnailPath: asset.resizePath,
+    });
+
+    if (res.status == 201 && res.data.length > 0) {
+      const smartInfo = new SmartInfoEntity();
+      smartInfo.assetId = asset.id;
+      smartInfo.tags = [...res.data];
+
+      await this.smartInfoRepository.upsert(smartInfo, {
+        conflictPaths: ['assetId'],
+      });
+    }
+  }
+
+  @Process({ name: MachineLearningJobNameEnum.OBJECT_DETECTION, concurrency: 2 })
+  async detectObject(job: Job<IMachineLearningJob>) {
+    try {
+      const { asset }: { asset: AssetEntity } = job.data;
+
+      const res = await axios.post('http://immich-machine-learning:3003/object-detection/detect-object', {
+        thumbnailPath: asset.resizePath,
+      });
+
+      if (res.status == 201 && res.data.length > 0) {
+        const smartInfo = new SmartInfoEntity();
+        smartInfo.assetId = asset.id;
+        smartInfo.objects = [...res.data];
+
+        await this.smartInfoRepository.upsert(smartInfo, {
+          conflictPaths: ['assetId'],
+        });
+      }
+    } catch (error) {
+      Logger.error(`Failed to trigger object detection pipe line ${String(error)}`);
+    }
+  }
+}

server/apps/microservices/src/processors/metadata-extraction.processor.ts

@@ -1,23 +1,19 @@
 import { ImmichLogLevel } from '@app/common/constants/log-level.constant';
 import { AssetEntity } from '@app/database/entities/asset.entity';
 import { ExifEntity } from '@app/database/entities/exif.entity';
-import { SmartInfoEntity } from '@app/database/entities/smart-info.entity';
 import {
   IExifExtractionProcessor,
   IVideoLengthExtractionProcessor,
   exifExtractionProcessorName,
-  imageTaggingProcessorName,
-  objectDetectionProcessorName,
   videoMetadataExtractionProcessorName,
-  metadataExtractionQueueName,
   reverseGeocodingProcessorName,
   IReverseGeocodingProcessor,
+  QueueNameEnum,
 } from '@app/job';
 import { Process, Processor } from '@nestjs/bull';
 import { Logger } from '@nestjs/common';
 import { ConfigService } from '@nestjs/config';
 import { InjectRepository } from '@nestjs/typeorm';
-import axios from 'axios';
 import { Job } from 'bull';
 import exifr from 'exifr';
 import ffmpeg from 'fluent-ffmpeg';
@@ -79,7 +75,7 @@ export interface GeoData {
   distance: number;
 }
 
-@Processor(metadataExtractionQueueName)
+@Processor(QueueNameEnum.METADATA_EXTRACTION)
 export class MetadataExtractionProcessor {
   private isGeocodeInitialized = false;
   private logLevel: ImmichLogLevel;
@@ -91,9 +87,6 @@ export class MetadataExtractionProcessor {
     @InjectRepository(ExifEntity)
     private exifRepository: Repository<ExifEntity>,
 
-    @InjectRepository(SmartInfoEntity)
-    private smartInfoRepository: Repository<SmartInfoEntity>,
-
     private configService: ConfigService,
   ) {
     if (!configService.get('DISABLE_REVERSE_GEOCODING')) {
@@ -109,7 +102,8 @@ export class MetadataExtractionProcessor {
           alternateNames: false,
         },
         countries: [],
-        dumpDirectory: configService.get('REVERSE_GEOCODING_DUMP_DIRECTORY') || (process.cwd() + '/.reverse-geocoding-dump/'),
+        dumpDirectory:
+          configService.get('REVERSE_GEOCODING_DUMP_DIRECTORY') || process.cwd() + '/.reverse-geocoding-dump/',
       }).then(() => {
         this.isGeocodeInitialized = true;
         Logger.log('Reverse Geocoding Initialised');
@@ -273,48 +267,6 @@ export class MetadataExtractionProcessor {
     }
   }
 
-  @Process({ name: imageTaggingProcessorName, concurrency: 2 })
-  async tagImage(job: Job) {
-    const { asset }: { asset: AssetEntity } = job.data;
-
-    const res = await axios.post('http://immich-machine-learning:3003/image-classifier/tag-image', {
-      thumbnailPath: asset.resizePath,
-    });
-
-    if (res.status == 201 && res.data.length > 0) {
-      const smartInfo = new SmartInfoEntity();
-      smartInfo.assetId = asset.id;
-      smartInfo.tags = [...res.data];
-
-      await this.smartInfoRepository.upsert(smartInfo, {
-        conflictPaths: ['assetId'],
-      });
-    }
-  }
-
-  @Process({ name: objectDetectionProcessorName, concurrency: 2 })
-  async detectObject(job: Job) {
-    try {
-      const { asset }: { asset: AssetEntity } = job.data;
-
-      const res = await axios.post('http://immich-machine-learning:3003/object-detection/detect-object', {
-        thumbnailPath: asset.resizePath,
-      });
-
-      if (res.status == 201 && res.data.length > 0) {
-        const smartInfo = new SmartInfoEntity();
-        smartInfo.assetId = asset.id;
-        smartInfo.objects = [...res.data];
-
-        await this.smartInfoRepository.upsert(smartInfo, {
-          conflictPaths: ['assetId'],
-        });
-      }
-    } catch (error) {
-      Logger.error(`Failed to trigger object detection pipe line ${String(error)}`);
-    }
-  }
-
   @Process({ name: videoMetadataExtractionProcessorName, concurrency: 2 })
   async extractVideoMetadata(job: Job<IVideoLengthExtractionProcessor>) {
     const { asset, fileName } = job.data;

server/apps/microservices/src/processors/thumbnail.processor.ts

@@ -5,11 +5,9 @@ import {
   WebpGeneratorProcessor,
   generateJPEGThumbnailProcessorName,
   generateWEBPThumbnailProcessorName,
-  imageTaggingProcessorName,
-  objectDetectionProcessorName,
-  metadataExtractionQueueName,
-  thumbnailGeneratorQueueName,
   JpegGeneratorProcessor,
+  QueueNameEnum,
+  MachineLearningJobNameEnum,
 } from '@app/job';
 import { InjectQueue, Process, Processor } from '@nestjs/bull';
 import { Logger } from '@nestjs/common';
@@ -25,8 +23,9 @@ import sharp from 'sharp';
 import { Repository } from 'typeorm/repository/Repository';
 import { join } from 'path';
 import { CommunicationGateway } from 'apps/immich/src/api-v1/communication/communication.gateway';
+import { IMachineLearningJob } from '@app/job/interfaces/machine-learning.interface';
 
-@Processor(thumbnailGeneratorQueueName)
+@Processor(QueueNameEnum.THUMBNAIL_GENERATION)
 export class ThumbnailGeneratorProcessor {
   private logLevel: ImmichLogLevel;
 
@@ -34,13 +33,13 @@ export class ThumbnailGeneratorProcessor {
     @InjectRepository(AssetEntity)
     private assetRepository: Repository<AssetEntity>,
 
-    @InjectQueue(thumbnailGeneratorQueueName)
+    @InjectQueue(QueueNameEnum.THUMBNAIL_GENERATION)
     private thumbnailGeneratorQueue: Queue,
 
     private wsCommunicationGateway: CommunicationGateway,
 
-    @InjectQueue(metadataExtractionQueueName)
-    private metadataExtractionQueue: Queue,
+    @InjectQueue(QueueNameEnum.MACHINE_LEARNING)
+    private machineLearningQueue: Queue<IMachineLearningJob>,
 
     private configService: ConfigService,
   ) {
@@ -80,8 +79,12 @@ export class ThumbnailGeneratorProcessor {
       asset.resizePath = jpegThumbnailPath;
 
       await this.thumbnailGeneratorQueue.add(generateWEBPThumbnailProcessorName, { asset }, { jobId: randomUUID() });
-      await this.metadataExtractionQueue.add(imageTaggingProcessorName, { asset }, { jobId: randomUUID() });
-      await this.metadataExtractionQueue.add(objectDetectionProcessorName, { asset }, { jobId: randomUUID() });
+      await this.machineLearningQueue.add(MachineLearningJobNameEnum.IMAGE_TAGGING, { asset }, { jobId: randomUUID() });
+      await this.machineLearningQueue.add(
+        MachineLearningJobNameEnum.OBJECT_DETECTION,
+        { asset },
+        { jobId: randomUUID() },
+      );
       this.wsCommunicationGateway.server.to(asset.userId).emit('on_upload_success', JSON.stringify(mapAsset(asset)));
     }
 
@@ -110,8 +113,12 @@ export class ThumbnailGeneratorProcessor {
       asset.resizePath = jpegThumbnailPath;
 
       await this.thumbnailGeneratorQueue.add(generateWEBPThumbnailProcessorName, { asset }, { jobId: randomUUID() });
-      await this.metadataExtractionQueue.add(imageTaggingProcessorName, { asset }, { jobId: randomUUID() });
-      await this.metadataExtractionQueue.add(objectDetectionProcessorName, { asset }, { jobId: randomUUID() });
+      await this.machineLearningQueue.add(MachineLearningJobNameEnum.IMAGE_TAGGING, { asset }, { jobId: randomUUID() });
+      await this.machineLearningQueue.add(
+        MachineLearningJobNameEnum.OBJECT_DETECTION,
+        { asset },
+        { jobId: randomUUID() },
+      );
 
       this.wsCommunicationGateway.server.to(asset.userId).emit('on_upload_success', JSON.stringify(mapAsset(asset)));
     }

server/apps/microservices/src/processors/video-transcode.processor.ts

@@ -1,7 +1,7 @@
 import { APP_UPLOAD_LOCATION } from '@app/common/constants';
 import { AssetEntity } from '@app/database/entities/asset.entity';
+import { QueueNameEnum } from '@app/job';
 import { mp4ConversionProcessorName } from '@app/job/constants/job-name.constant';
-import { videoConversionQueueName } from '@app/job/constants/queue-name.constant';
 import { IMp4ConversionProcessor } from '@app/job/interfaces/video-transcode.interface';
 import { Process, Processor } from '@nestjs/bull';
 import { Logger } from '@nestjs/common';
@@ -11,7 +11,7 @@ import ffmpeg from 'fluent-ffmpeg';
 import { existsSync, mkdirSync } from 'fs';
 import { Repository } from 'typeorm';
 
-@Processor(videoConversionQueueName)
+@Processor(QueueNameEnum.VIDEO_CONVERSION)
 export class VideoTranscodeProcessor {
   constructor(
     @InjectRepository(AssetEntity)

server/libs/job/src/constants/job-name.constant.ts

@@ -20,5 +20,12 @@ export const generateWEBPThumbnailProcessorName = 'generate-webp-thumbnail';
 export const exifExtractionProcessorName = 'exif-extraction';
 export const videoMetadataExtractionProcessorName = 'extract-video-metadata';
 export const reverseGeocodingProcessorName = 'reverse-geocoding';
-export const objectDetectionProcessorName = 'detect-object';
-export const imageTaggingProcessorName = 'tag-image';
+
+/**
+ * Machine learning Queue Jobs
+ */
+
+export enum MachineLearningJobNameEnum {
+  OBJECT_DETECTION = 'detect-object',
+  IMAGE_TAGGING = 'tag-image',
+}

server/libs/job/src/constants/queue-name.constant.ts

@@ -1,5 +1,8 @@
-export const thumbnailGeneratorQueueName = 'thumbnail-generator-queue';
-export const assetUploadedQueueName = 'asset-uploaded-queue';
-export const metadataExtractionQueueName = 'metadata-extraction-queue';
-export const videoConversionQueueName = 'video-conversion-queue';
-export const generateChecksumQueueName = 'generate-checksum-queue';
+export enum QueueNameEnum {
+  THUMBNAIL_GENERATION = 'thumbnail-generation-queue',
+  METADATA_EXTRACTION = 'metadata-extraction-queue',
+  VIDEO_CONVERSION = 'video-conversion-queue',
+  CHECKSUM_GENERATION = 'generate-checksum-queue',
+  ASSET_UPLOADED = 'asset-uploaded-queue',
+  MACHINE_LEARNING = 'machine-learning-queue',
+}

server/libs/job/src/interfaces/machine-learning.interface.ts

@@ -0,0 +1,8 @@
+import { AssetEntity } from '@app/database/entities/asset.entity';
+
+export interface IMachineLearningJob {
+  /**
+   * The Asset entity that was saved in the database
+   */
+  asset: AssetEntity;
+}

server/package-lock.json

@@ -59,7 +59,7 @@
         "@nestjs/testing": "^8.4.7",
         "@openapitools/openapi-generator-cli": "2.5.1",
         "@types/bcrypt": "^5.0.0",
-        "@types/bull": "^3.15.7",
+        "@types/bull": "^3.15.9",
         "@types/cookie-parser": "^1.4.3",
         "@types/cron": "^2.0.0",
         "@types/express": "^4.17.13",
@@ -2339,9 +2339,9 @@
       }
     },
     "node_modules/@types/bull": {
-      "version": "3.15.7",
-      "resolved": "https://registry.npmjs.org/@types/bull/-/bull-3.15.7.tgz",
-      "integrity": "sha512-7NC7XN5NoS0A+leJ/dR69ZfKaegOlCZaii/xGgKnCyh1UYisRncibImb7VMwrc3OdJcbDJt6+4om70TeNl3J7g==",
+      "version": "3.15.9",
+      "resolved": "https://registry.npmjs.org/@types/bull/-/bull-3.15.9.tgz",
+      "integrity": "sha512-MPUcyPPQauAmynoO3ezHAmCOhbB0pWmYyijr/5ctaCqhbKWsjW0YCod38ZcLzUBprosfZ9dPqfYIcfdKjk7RNQ==",
       "dev": true,
       "dependencies": {
         "@types/ioredis": "*",
@@ -3764,6 +3764,27 @@
         "node": ">= 0.8"
       }
     },
+    "node_modules/cache-manager": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/cache-manager/-/cache-manager-5.0.0.tgz",
+      "integrity": "sha512-1qKdoeoJKmrf95Zvhr3NpBVAgBESt4TuZomBzn4N2gCFZvHjuUXBK1H8EDVsJdba6/grIgi6WGYb/ncJj+wjtg==",
+      "optional": true,
+      "peer": true,
+      "dependencies": {
+        "lodash.clonedeep": "^4.5.0",
+        "lru-cache": "^7.14.0"
+      }
+    },
+    "node_modules/cache-manager/node_modules/lru-cache": {
+      "version": "7.14.0",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-7.14.0.tgz",
+      "integrity": "sha512-EIRtP1GrSJny0dqb50QXRUNBxHJhcpxHC++M5tD7RYbvLLn5KVWKsbyswSSqDuU15UFi3bgTQIY8nhDMeF6aDQ==",
+      "optional": true,
+      "peer": true,
+      "engines": {
+        "node": ">=12"
+      }
+    },
     "node_modules/call-bind": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.2.tgz",
@@ -7674,6 +7695,13 @@
       "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
       "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
     },
+    "node_modules/lodash.clonedeep": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/lodash.clonedeep/-/lodash.clonedeep-4.5.0.tgz",
+      "integrity": "sha512-H5ZhCF25riFd9uB5UCkVKo61m3S/xZk1x4wA6yp/L3RFP6Z/eHH1ymQcGLo7J3GMPfm0V/7m1tryHuGVxpqEBQ==",
+      "optional": true,
+      "peer": true
+    },
     "node_modules/lodash.defaults": {
       "version": "4.2.0",
       "resolved": "https://registry.npmjs.org/lodash.defaults/-/lodash.defaults-4.2.0.tgz",
@@ -12900,9 +12928,9 @@
       }
     },
     "@types/bull": {
-      "version": "3.15.7",
-      "resolved": "https://registry.npmjs.org/@types/bull/-/bull-3.15.7.tgz",
-      "integrity": "sha512-7NC7XN5NoS0A+leJ/dR69ZfKaegOlCZaii/xGgKnCyh1UYisRncibImb7VMwrc3OdJcbDJt6+4om70TeNl3J7g==",
+      "version": "3.15.9",
+      "resolved": "https://registry.npmjs.org/@types/bull/-/bull-3.15.9.tgz",
+      "integrity": "sha512-MPUcyPPQauAmynoO3ezHAmCOhbB0pWmYyijr/5ctaCqhbKWsjW0YCod38ZcLzUBprosfZ9dPqfYIcfdKjk7RNQ==",
       "dev": true,
       "requires": {
         "@types/ioredis": "*",
@@ -14073,6 +14101,26 @@
       "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz",
       "integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg=="
     },
+    "cache-manager": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/cache-manager/-/cache-manager-5.0.0.tgz",
+      "integrity": "sha512-1qKdoeoJKmrf95Zvhr3NpBVAgBESt4TuZomBzn4N2gCFZvHjuUXBK1H8EDVsJdba6/grIgi6WGYb/ncJj+wjtg==",
+      "optional": true,
+      "peer": true,
+      "requires": {
+        "lodash.clonedeep": "^4.5.0",
+        "lru-cache": "^7.14.0"
+      },
+      "dependencies": {
+        "lru-cache": {
+          "version": "7.14.0",
+          "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-7.14.0.tgz",
+          "integrity": "sha512-EIRtP1GrSJny0dqb50QXRUNBxHJhcpxHC++M5tD7RYbvLLn5KVWKsbyswSSqDuU15UFi3bgTQIY8nhDMeF6aDQ==",
+          "optional": true,
+          "peer": true
+        }
+      }
+    },
     "call-bind": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.2.tgz",
@@ -17088,6 +17136,13 @@
       "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz",
       "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
     },
+    "lodash.clonedeep": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/lodash.clonedeep/-/lodash.clonedeep-4.5.0.tgz",
+      "integrity": "sha512-H5ZhCF25riFd9uB5UCkVKo61m3S/xZk1x4wA6yp/L3RFP6Z/eHH1ymQcGLo7J3GMPfm0V/7m1tryHuGVxpqEBQ==",
+      "optional": true,
+      "peer": true
+    },
     "lodash.defaults": {
       "version": "4.2.0",
       "resolved": "https://registry.npmjs.org/lodash.defaults/-/lodash.defaults-4.2.0.tgz",

server/package.json

@@ -78,7 +78,7 @@
     "@nestjs/testing": "^8.4.7",
     "@openapitools/openapi-generator-cli": "2.5.1",
     "@types/bcrypt": "^5.0.0",
-    "@types/bull": "^3.15.7",
+    "@types/bull": "^3.15.9",
     "@types/cookie-parser": "^1.4.3",
     "@types/cron": "^2.0.0",
     "@types/express": "^4.17.13",

web/src/api/api.ts

@@ -4,6 +4,7 @@ import {
 	AuthenticationApi,
 	Configuration,
 	DeviceInfoApi,
+	JobApi,
 	ServerInfoApi,
 	UserApi
 } from './open-api';
@@ -15,6 +16,8 @@ class ImmichApi {
 	public authenticationApi: AuthenticationApi;
 	public deviceInfoApi: DeviceInfoApi;
 	public serverInfoApi: ServerInfoApi;
+	public jobApi: JobApi;
+
 	private config = new Configuration({ basePath: '/api' });
 
 	constructor() {
@@ -24,6 +27,7 @@ class ImmichApi {
 		this.authenticationApi = new AuthenticationApi(this.config);
 		this.deviceInfoApi = new DeviceInfoApi(this.config);
 		this.serverInfoApi = new ServerInfoApi(this.config);
+		this.jobApi = new JobApi(this.config);
 	}
 
 	public setAccessToken(accessToken: string) {

web/src/api/open-api/api.ts

@@ -170,6 +170,61 @@ export interface AlbumResponseDto {
      */
     'assets': Array<AssetResponseDto>;
 }
+/**
+ * 
+ * @export
+ * @interface AllJobStatusResponseDto
+ */
+export interface AllJobStatusResponseDto {
+    /**
+     * 
+     * @type {JobCounts}
+     * @memberof AllJobStatusResponseDto
+     */
+    'thumbnailGenerationQueueCount': JobCounts;
+    /**
+     * 
+     * @type {JobCounts}
+     * @memberof AllJobStatusResponseDto
+     */
+    'metadataExtractionQueueCount': JobCounts;
+    /**
+     * 
+     * @type {JobCounts}
+     * @memberof AllJobStatusResponseDto
+     */
+    'videoConversionQueueCount': JobCounts;
+    /**
+     * 
+     * @type {JobCounts}
+     * @memberof AllJobStatusResponseDto
+     */
+    'machineLearningQueueCount': JobCounts;
+    /**
+     * 
+     * @type {boolean}
+     * @memberof AllJobStatusResponseDto
+     */
+    'isThumbnailGenerationActive': boolean;
+    /**
+     * 
+     * @type {boolean}
+     * @memberof AllJobStatusResponseDto
+     */
+    'isMetadataExtractionActive': boolean;
+    /**
+     * 
+     * @type {boolean}
+     * @memberof AllJobStatusResponseDto
+     */
+    'isVideoConversionActive': boolean;
+    /**
+     * 
+     * @type {boolean}
+     * @memberof AllJobStatusResponseDto
+     */
+    'isMachineLearningActive': boolean;
+}
 /**
  * 
  * @export
@@ -683,10 +738,16 @@ export type DeviceTypeEnum = typeof DeviceTypeEnum[keyof typeof DeviceTypeEnum];
 export interface ExifResponseDto {
     /**
      * 
-     * @type {string}
+     * @type {number}
      * @memberof ExifResponseDto
      */
-    'id'?: string | null;
+    'id'?: number | null;
+    /**
+     * 
+     * @type {number}
+     * @memberof ExifResponseDto
+     */
+    'fileSizeInByte'?: number | null;
     /**
      * 
      * @type {string}
@@ -717,12 +778,6 @@ export interface ExifResponseDto {
      * @memberof ExifResponseDto
      */
     'exifImageHeight'?: number | null;
-    /**
-     * 
-     * @type {number}
-     * @memberof ExifResponseDto
-     */
-    'fileSizeInByte'?: number | null;
     /**
      * 
      * @type {string}
@@ -828,6 +883,105 @@ export interface GetAssetCountByTimeBucketDto {
      */
     'timeGroup': TimeGroupEnum;
 }
+/**
+ * 
+ * @export
+ * @enum {string}
+ */
+
+export const JobCommand = {
+    Start: 'start',
+    Stop: 'stop'
+} as const;
+
+export type JobCommand = typeof JobCommand[keyof typeof JobCommand];
+
+
+/**
+ * 
+ * @export
+ * @interface JobCommandDto
+ */
+export interface JobCommandDto {
+    /**
+     * 
+     * @type {JobCommand}
+     * @memberof JobCommandDto
+     */
+    'command': JobCommand;
+}
+/**
+ * 
+ * @export
+ * @interface JobCounts
+ */
+export interface JobCounts {
+    /**
+     * 
+     * @type {number}
+     * @memberof JobCounts
+     */
+    'active': number;
+    /**
+     * 
+     * @type {number}
+     * @memberof JobCounts
+     */
+    'completed': number;
+    /**
+     * 
+     * @type {number}
+     * @memberof JobCounts
+     */
+    'failed': number;
+    /**
+     * 
+     * @type {number}
+     * @memberof JobCounts
+     */
+    'delayed': number;
+    /**
+     * 
+     * @type {number}
+     * @memberof JobCounts
+     */
+    'waiting': number;
+}
+/**
+ * 
+ * @export
+ * @enum {string}
+ */
+
+export const JobId = {
+    ThumbnailGeneration: 'thumbnail-generation',
+    MetadataExtraction: 'metadata-extraction',
+    VideoConversion: 'video-conversion',
+    MachineLearning: 'machine-learning'
+} as const;
+
+export type JobId = typeof JobId[keyof typeof JobId];
+
+
+/**
+ * 
+ * @export
+ * @interface JobStatusResponseDto
+ */
+export interface JobStatusResponseDto {
+    /**
+     * 
+     * @type {boolean}
+     * @memberof JobStatusResponseDto
+     */
+    'isActive': boolean;
+    /**
+     * 
+     * @type {object}
+     * @memberof JobStatusResponseDto
+     */
+    'queueCount': object;
+}
 /**
  * 
  * @export
@@ -3682,6 +3836,247 @@ export class DeviceInfoApi extends BaseAPI {
 }
 
 
+/**
+ * JobApi - axios parameter creator
+ * @export
+ */
+export const JobApiAxiosParamCreator = function (configuration?: Configuration) {
+    return {
+        /**
+         * 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        getAllJobsStatus: async (options: AxiosRequestConfig = {}): Promise<RequestArgs> => {
+            const localVarPath = `/jobs`;
+            // use dummy base URL string because the URL constructor only accepts absolute URLs.
+            const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL);
+            let baseOptions;
+            if (configuration) {
+                baseOptions = configuration.baseOptions;
+            }
+
+            const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options};
+            const localVarHeaderParameter = {} as any;
+            const localVarQueryParameter = {} as any;
+
+            // authentication bearer required
+            // http bearer authentication required
+            await setBearerAuthToObject(localVarHeaderParameter, configuration)
+
+
+    
+            setSearchParams(localVarUrlObj, localVarQueryParameter);
+            let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};
+            localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers};
+
+            return {
+                url: toPathString(localVarUrlObj),
+                options: localVarRequestOptions,
+            };
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        getJobStatus: async (jobId: JobId, options: AxiosRequestConfig = {}): Promise<RequestArgs> => {
+            // verify required parameter 'jobId' is not null or undefined
+            assertParamExists('getJobStatus', 'jobId', jobId)
+            const localVarPath = `/jobs/{jobId}`
+                .replace(`{${"jobId"}}`, encodeURIComponent(String(jobId)));
+            // use dummy base URL string because the URL constructor only accepts absolute URLs.
+            const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL);
+            let baseOptions;
+            if (configuration) {
+                baseOptions = configuration.baseOptions;
+            }
+
+            const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options};
+            const localVarHeaderParameter = {} as any;
+            const localVarQueryParameter = {} as any;
+
+            // authentication bearer required
+            // http bearer authentication required
+            await setBearerAuthToObject(localVarHeaderParameter, configuration)
+
+
+    
+            setSearchParams(localVarUrlObj, localVarQueryParameter);
+            let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};
+            localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers};
+
+            return {
+                url: toPathString(localVarUrlObj),
+                options: localVarRequestOptions,
+            };
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {JobCommandDto} jobCommandDto 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        sendJobCommand: async (jobId: JobId, jobCommandDto: JobCommandDto, options: AxiosRequestConfig = {}): Promise<RequestArgs> => {
+            // verify required parameter 'jobId' is not null or undefined
+            assertParamExists('sendJobCommand', 'jobId', jobId)
+            // verify required parameter 'jobCommandDto' is not null or undefined
+            assertParamExists('sendJobCommand', 'jobCommandDto', jobCommandDto)
+            const localVarPath = `/jobs/{jobId}`
+                .replace(`{${"jobId"}}`, encodeURIComponent(String(jobId)));
+            // use dummy base URL string because the URL constructor only accepts absolute URLs.
+            const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL);
+            let baseOptions;
+            if (configuration) {
+                baseOptions = configuration.baseOptions;
+            }
+
+            const localVarRequestOptions = { method: 'PUT', ...baseOptions, ...options};
+            const localVarHeaderParameter = {} as any;
+            const localVarQueryParameter = {} as any;
+
+            // authentication bearer required
+            // http bearer authentication required
+            await setBearerAuthToObject(localVarHeaderParameter, configuration)
+
+
+    
+            localVarHeaderParameter['Content-Type'] = 'application/json';
+
+            setSearchParams(localVarUrlObj, localVarQueryParameter);
+            let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};
+            localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers};
+            localVarRequestOptions.data = serializeDataIfNeeded(jobCommandDto, localVarRequestOptions, configuration)
+
+            return {
+                url: toPathString(localVarUrlObj),
+                options: localVarRequestOptions,
+            };
+        },
+    }
+};
+
+/**
+ * JobApi - functional programming interface
+ * @export
+ */
+export const JobApiFp = function(configuration?: Configuration) {
+    const localVarAxiosParamCreator = JobApiAxiosParamCreator(configuration)
+    return {
+        /**
+         * 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        async getAllJobsStatus(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise<AllJobStatusResponseDto>> {
+            const localVarAxiosArgs = await localVarAxiosParamCreator.getAllJobsStatus(options);
+            return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration);
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        async getJobStatus(jobId: JobId, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise<JobStatusResponseDto>> {
+            const localVarAxiosArgs = await localVarAxiosParamCreator.getJobStatus(jobId, options);
+            return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration);
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {JobCommandDto} jobCommandDto 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        async sendJobCommand(jobId: JobId, jobCommandDto: JobCommandDto, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise<number>> {
+            const localVarAxiosArgs = await localVarAxiosParamCreator.sendJobCommand(jobId, jobCommandDto, options);
+            return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration);
+        },
+    }
+};
+
+/**
+ * JobApi - factory interface
+ * @export
+ */
+export const JobApiFactory = function (configuration?: Configuration, basePath?: string, axios?: AxiosInstance) {
+    const localVarFp = JobApiFp(configuration)
+    return {
+        /**
+         * 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        getAllJobsStatus(options?: any): AxiosPromise<AllJobStatusResponseDto> {
+            return localVarFp.getAllJobsStatus(options).then((request) => request(axios, basePath));
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        getJobStatus(jobId: JobId, options?: any): AxiosPromise<JobStatusResponseDto> {
+            return localVarFp.getJobStatus(jobId, options).then((request) => request(axios, basePath));
+        },
+        /**
+         * 
+         * @param {JobId} jobId 
+         * @param {JobCommandDto} jobCommandDto 
+         * @param {*} [options] Override http request option.
+         * @throws {RequiredError}
+         */
+        sendJobCommand(jobId: JobId, jobCommandDto: JobCommandDto, options?: any): AxiosPromise<number> {
+            return localVarFp.sendJobCommand(jobId, jobCommandDto, options).then((request) => request(axios, basePath));
+        },
+    };
+};
+
+/**
+ * JobApi - object-oriented interface
+ * @export
+ * @class JobApi
+ * @extends {BaseAPI}
+ */
+export class JobApi extends BaseAPI {
+    /**
+     * 
+     * @param {*} [options] Override http request option.
+     * @throws {RequiredError}
+     * @memberof JobApi
+     */
+    public getAllJobsStatus(options?: AxiosRequestConfig) {
+        return JobApiFp(this.configuration).getAllJobsStatus(options).then((request) => request(this.axios, this.basePath));
+    }
+
+    /**
+     * 
+     * @param {JobId} jobId 
+     * @param {*} [options] Override http request option.
+     * @throws {RequiredError}
+     * @memberof JobApi
+     */
+    public getJobStatus(jobId: JobId, options?: AxiosRequestConfig) {
+        return JobApiFp(this.configuration).getJobStatus(jobId, options).then((request) => request(this.axios, this.basePath));
+    }
+
+    /**
+     * 
+     * @param {JobId} jobId 
+     * @param {JobCommandDto} jobCommandDto 
+     * @param {*} [options] Override http request option.
+     * @throws {RequiredError}
+     * @memberof JobApi
+     */
+    public sendJobCommand(jobId: JobId, jobCommandDto: JobCommandDto, options?: AxiosRequestConfig) {
+        return JobApiFp(this.configuration).sendJobCommand(jobId, jobCommandDto, options).then((request) => request(this.axios, this.basePath));
+    }
+}
+
+
 /**
  * ServerInfoApi - axios parameter creator
  * @export

web/src/lib/components/admin-page/jobs/job-tile.svelte

@@ -0,0 +1,52 @@
+<script lang="ts">
+	import LoadingSpinner from '$lib/components/shared-components/loading-spinner.svelte';
+	import { createEventDispatcher } from 'svelte';
+
+	export let title: string;
+	export let subtitle: string;
+	export let buttonTitle = 'Run';
+	export let jobStatus: boolean;
+	export let waitingJobCount: number;
+	export let activeJobCount: number;
+	const dispatch = createEventDispatcher();
+</script>
+
+<div class="flex border p-6 rounded-2xl bg-white">
+	<div class="w-[70%]">
+		<h1 class="font-medium text-immich-primary">{title}</h1>
+		<p class="text-sm mt-1 font-medium">{subtitle}</p>
+		<p class="text-sm">
+			<slot />
+		</p>
+		<table class="text-left w-full mt-4">
+			<!-- table header -->
+			<thead class="border rounded-md mb-2 bg-gray-50 flex text-immich-primary w-full h-12">
+				<tr class="flex w-full place-items-center">
+					<th class="text-center w-1/3 font-medium text-sm">Status</th>
+					<th class="text-center w-1/3 font-medium text-sm">Active</th>
+					<th class="text-center w-1/3 font-medium text-sm">Waiting</th>
+				</tr>
+			</thead>
+			<tbody class="overflow-y-auto rounded-md w-full max-h-[320px] block border">
+				<tr class="text-center flex place-items-center w-full h-[40px]">
+					<td class="text-sm px-2 w-1/3 text-ellipsis">{jobStatus ? 'Active' : 'Idle'}</td>
+					<td class="text-sm px-2 w-1/3 text-ellipsis">{activeJobCount}</td>
+					<td class="text-sm px-2 w-1/3 text-ellipsis">{waitingJobCount}</td>
+				</tr>
+			</tbody>
+		</table>
+	</div>
+	<div class="w-[30%] flex place-items-center place-content-end">
+		<button
+			on:click={() => dispatch('click')}
+			class="border px-6 py-3 text-sm bg-gray-50 font-medium rounded-2xl hover:bg-immich-primary/10 transition-all hover:cursor-pointer disabled:cursor-not-allowed"
+			disabled={jobStatus}
+		>
+			{#if jobStatus}
+				<LoadingSpinner />
+			{:else}
+				{buttonTitle}
+			{/if}
+		</button>
+	</div>
+</div>

web/src/lib/components/admin-page/jobs/jobs-panel.svelte

@@ -0,0 +1,138 @@
+<script lang="ts">
+	import {
+		notificationController,
+		NotificationType
+	} from '$lib/components/shared-components/notification/notification';
+	import { AllJobStatusResponseDto, api, JobCommand, JobId } from '@api';
+	import { onDestroy, onMount } from 'svelte';
+	import JobTile from './job-tile.svelte';
+
+	let allJobsStatus: AllJobStatusResponseDto;
+	let setIntervalHandler: NodeJS.Timer;
+	onMount(async () => {
+		const { data } = await api.jobApi.getAllJobsStatus();
+		allJobsStatus = data;
+
+		setIntervalHandler = setInterval(async () => {
+			const { data } = await api.jobApi.getAllJobsStatus();
+			allJobsStatus = data;
+		}, 1000);
+	});
+	1;
+
+	onDestroy(() => {
+		clearInterval(setIntervalHandler);
+	});
+
+	const runThumbnailGeneration = async () => {
+		try {
+			const { data } = await api.jobApi.sendJobCommand(JobId.ThumbnailGeneration, {
+				command: JobCommand.Start
+			});
+
+			if (data) {
+				notificationController.show({
+					message: `Thumbnail generation job started for ${data} asset`,
+					type: NotificationType.Info
+				});
+			} else {
+				notificationController.show({
+					message: `No missing thumbnails found`,
+					type: NotificationType.Info
+				});
+			}
+		} catch (e) {
+			console.log('[ERROR] runThumbnailGeneration', e);
+
+			notificationController.show({
+				message: `Error running thumbnail generation job, check console for more detail`,
+				type: NotificationType.Error
+			});
+		}
+	};
+
+	const runExtractEXIF = async () => {
+		try {
+			const { data } = await api.jobApi.sendJobCommand(JobId.MetadataExtraction, {
+				command: JobCommand.Start
+			});
+
+			if (data) {
+				notificationController.show({
+					message: `Extract EXIF job started for ${data} asset`,
+					type: NotificationType.Info
+				});
+			} else {
+				notificationController.show({
+					message: `No missing EXIF found`,
+					type: NotificationType.Info
+				});
+			}
+		} catch (e) {
+			console.log('[ERROR] runExtractEXIF', e);
+
+			notificationController.show({
+				message: `Error running extract EXIF job, check console for more detail`,
+				type: NotificationType.Error
+			});
+		}
+	};
+
+	const runMachineLearning = async () => {
+		try {
+			const { data } = await api.jobApi.sendJobCommand(JobId.MachineLearning, {
+				command: JobCommand.Start
+			});
+
+			if (data) {
+				notificationController.show({
+					message: `Object detection job started for ${data} asset`,
+					type: NotificationType.Info
+				});
+			} else {
+				notificationController.show({
+					message: `No missing object detection found`,
+					type: NotificationType.Info
+				});
+			}
+		} catch (e) {
+			console.log('[ERROR] runMachineLearning', e);
+
+			notificationController.show({
+				message: `Error running machine learning job, check console for more detail`,
+				type: NotificationType.Error
+			});
+		}
+	};
+</script>
+
+<div class="flex flex-col gap-6">
+	<JobTile
+		title={'Generate thumbnails'}
+		subtitle={'Regenerate missing thumbnail (JPEG, WEBP)'}
+		on:click={runThumbnailGeneration}
+		jobStatus={allJobsStatus?.isThumbnailGenerationActive}
+		waitingJobCount={allJobsStatus?.thumbnailGenerationQueueCount.waiting}
+		activeJobCount={allJobsStatus?.thumbnailGenerationQueueCount.active}
+	/>
+
+	<JobTile
+		title={'Extract EXIF'}
+		subtitle={'Extract missing EXIF information'}
+		on:click={runExtractEXIF}
+		jobStatus={allJobsStatus?.isMetadataExtractionActive}
+		waitingJobCount={allJobsStatus?.metadataExtractionQueueCount.waiting}
+		activeJobCount={allJobsStatus?.metadataExtractionQueueCount.active}
+	/>
+
+	<JobTile
+		title={'Detect objects'}
+		subtitle={'Run machine learning process to detect and classify objects'}
+		on:click={runMachineLearning}
+		jobStatus={allJobsStatus?.isMachineLearningActive}
+		waitingJobCount={allJobsStatus?.machineLearningQueueCount.waiting}
+		activeJobCount={allJobsStatus?.machineLearningQueueCount.active}
+	>
+		Note that some asset does not have any object detected, this is normal.
+	</JobTile>
+</div>

web/src/lib/components/shared-components/scrollbar/scrollbar.svelte

@@ -94,7 +94,7 @@
 
 <div
 	id="immich-scrubbable-scrollbar"
-	class="fixed right-0 bg-immich-bg z-10 hover:cursor-row-resize select-none"
+	class="fixed right-0 bg-immich-bg z-[999] hover:cursor-row-resize select-none "
 	style:width={isDragging ? '100vw' : '60px'}
 	style:background-color={isDragging ? 'transparent' : 'transparent'}
 	on:mouseenter={() => (isHover = true)}

web/src/lib/models/admin-sidebar-selection.ts

@@ -1,5 +1,7 @@
 export enum AdminSideBarSelection {
-	USER_MANAGEMENT = 'User management'
+	USER_MANAGEMENT = 'User management',
+	JOBS = 'Jobs',
+	SETTINGS = 'Settings'
 }
 
 export enum AppSideBarSelection {

web/src/routes/admin/+layout.svelte

@@ -0,0 +1,3 @@
+<main>
+	<slot />
+</main>

web/src/routes/admin/+page.svelte

@@ -4,6 +4,7 @@
 	import { AdminSideBarSelection } from '$lib/models/admin-sidebar-selection';
 	import SideBarButton from '$lib/components/shared-components/side-bar/side-bar-button.svelte';
 	import AccountMultipleOutline from 'svelte-material-icons/AccountMultipleOutline.svelte';
+	import Cog from 'svelte-material-icons/Cog.svelte';
 	import NavigationBar from '$lib/components/shared-components/navigation-bar.svelte';
 	import UserManagement from '$lib/components/admin-page/user-management.svelte';
 	import FullScreenModal from '$lib/components/shared-components/full-screen-modal.svelte';
@@ -12,6 +13,7 @@
 	import StatusBox from '$lib/components/shared-components/status-box.svelte';
 	import type { PageData } from './$types';
 	import { api, UserResponseDto } from '@api';
+	import JobsPanel from '$lib/components/admin-page/jobs/jobs-panel.svelte';
 
 	let selectedAction: AdminSideBarSelection = AdminSideBarSelection.USER_MANAGEMENT;
 
@@ -104,14 +106,21 @@
 {/if}
 
 <section class="grid grid-cols-[250px_auto] relative pt-[72px] h-screen">
-	<section id="admin-sidebar" class="pt-8 pr-6 flex flex-col">
+	<section id="admin-sidebar" class="pt-8 pr-6 flex flex-col gap-1">
 		<SideBarButton
-			title="User"
+			title="Users"
 			logo={AccountMultipleOutline}
 			actionType={AdminSideBarSelection.USER_MANAGEMENT}
 			isSelected={selectedAction === AdminSideBarSelection.USER_MANAGEMENT}
 			on:selected={onButtonClicked}
 		/>
+		<SideBarButton
+			title="Jobs"
+			logo={Cog}
+			actionType={AdminSideBarSelection.JOBS}
+			isSelected={selectedAction === AdminSideBarSelection.JOBS}
+			on:selected={onButtonClicked}
+		/>
 
 		<div class="mb-6 mt-auto">
 			<StatusBox />
@@ -132,6 +141,9 @@
 						on:edit-user={editUserHandler}
 					/>
 				{/if}
+				{#if selectedAction === AdminSideBarSelection.JOBS}
+					<JobsPanel />
+				{/if}
 			</section>
 		</section>
 	</section>