Files
immich/server/libs/domain/src/job/job.service.ts
Mert 631f13cf2f chore(server,ml): remove object detection job and endpoint (#2627)
* removed object detection job

* removed object detection endpoint
2023-05-31 20:49:51 -05:00

144 lines
5.4 KiB
TypeScript

import { BadRequestException, Inject, Injectable, Logger } from '@nestjs/common';
import { IAssetRepository, mapAsset } from '../asset';
import { CommunicationEvent, ICommunicationRepository } from '../communication';
import { assertMachineLearningEnabled } from '../domain.constant';
import { JobCommandDto } from './dto';
import { JobCommand, JobName, QueueName } from './job.constants';
import { IJobRepository, JobItem } from './job.repository';
import { AllJobStatusResponseDto, JobStatusDto } from './response-dto';
@Injectable()
export class JobService {
private logger = new Logger(JobService.name);
constructor(
@Inject(IAssetRepository) private assetRepository: IAssetRepository,
@Inject(ICommunicationRepository) private communicationRepository: ICommunicationRepository,
@Inject(IJobRepository) private jobRepository: IJobRepository,
) {}
handleCommand(queueName: QueueName, dto: JobCommandDto): Promise<void> {
this.logger.debug(`Handling command: queue=${queueName},force=${dto.force}`);
switch (dto.command) {
case JobCommand.START:
return this.start(queueName, dto);
case JobCommand.PAUSE:
return this.jobRepository.pause(queueName);
case JobCommand.RESUME:
return this.jobRepository.resume(queueName);
case JobCommand.EMPTY:
return this.jobRepository.empty(queueName);
}
}
async getJobStatus(queueName: QueueName): Promise<JobStatusDto> {
const [jobCounts, queueStatus] = await Promise.all([
this.jobRepository.getJobCounts(queueName),
this.jobRepository.getQueueStatus(queueName),
]);
return { jobCounts, queueStatus };
}
async getAllJobsStatus(): Promise<AllJobStatusResponseDto> {
const response = new AllJobStatusResponseDto();
for (const queueName of Object.values(QueueName)) {
response[queueName] = await this.getJobStatus(queueName);
}
return response;
}
private async start(name: QueueName, { force }: JobCommandDto): Promise<void> {
const { isActive } = await this.jobRepository.getQueueStatus(name);
if (isActive) {
throw new BadRequestException(`Job is already running`);
}
switch (name) {
case QueueName.VIDEO_CONVERSION:
return this.jobRepository.queue({ name: JobName.QUEUE_VIDEO_CONVERSION, data: { force } });
case QueueName.STORAGE_TEMPLATE_MIGRATION:
return this.jobRepository.queue({ name: JobName.STORAGE_TEMPLATE_MIGRATION });
case QueueName.OBJECT_TAGGING:
assertMachineLearningEnabled();
return this.jobRepository.queue({ name: JobName.QUEUE_OBJECT_TAGGING, data: { force } });
case QueueName.CLIP_ENCODING:
assertMachineLearningEnabled();
return this.jobRepository.queue({ name: JobName.QUEUE_ENCODE_CLIP, data: { force } });
case QueueName.METADATA_EXTRACTION:
return this.jobRepository.queue({ name: JobName.QUEUE_METADATA_EXTRACTION, data: { force } });
case QueueName.SIDECAR:
return this.jobRepository.queue({ name: JobName.QUEUE_SIDECAR, data: { force } });
case QueueName.THUMBNAIL_GENERATION:
return this.jobRepository.queue({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force } });
case QueueName.RECOGNIZE_FACES:
return this.jobRepository.queue({ name: JobName.QUEUE_RECOGNIZE_FACES, data: { force } });
default:
throw new BadRequestException(`Invalid job name: ${name}`);
}
}
async handleNightlyJobs() {
await this.jobRepository.queue({ name: JobName.USER_DELETE_CHECK });
await this.jobRepository.queue({ name: JobName.PERSON_CLEANUP });
await this.jobRepository.queue({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } });
}
/**
* Queue follow up jobs
*/
async onDone(item: JobItem) {
switch (item.name) {
case JobName.SIDECAR_SYNC:
case JobName.SIDECAR_DISCOVERY:
await this.jobRepository.queue({ name: JobName.METADATA_EXTRACTION, data: { id: item.data.id } });
break;
case JobName.METADATA_EXTRACTION:
await this.jobRepository.queue({ name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: item.data });
break;
case JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE:
if (item.data.source === 'upload') {
await this.jobRepository.queue({ name: JobName.GENERATE_JPEG_THUMBNAIL, data: item.data });
}
break;
case JobName.GENERATE_JPEG_THUMBNAIL: {
await this.jobRepository.queue({ name: JobName.GENERATE_WEBP_THUMBNAIL, data: item.data });
await this.jobRepository.queue({ name: JobName.CLASSIFY_IMAGE, data: item.data });
await this.jobRepository.queue({ name: JobName.ENCODE_CLIP, data: item.data });
await this.jobRepository.queue({ name: JobName.RECOGNIZE_FACES, data: item.data });
const [asset] = await this.assetRepository.getByIds([item.data.id]);
if (asset) {
this.communicationRepository.send(CommunicationEvent.UPLOAD_SUCCESS, asset.ownerId, mapAsset(asset));
}
break;
}
}
// In addition to the above jobs, all of these should queue `SEARCH_INDEX_ASSET`
switch (item.name) {
case JobName.CLASSIFY_IMAGE:
case JobName.ENCODE_CLIP:
case JobName.RECOGNIZE_FACES:
case JobName.METADATA_EXTRACTION:
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids: [item.data.id] } });
break;
}
}
}