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* refactor: job to domain * chore: regenerate open api * chore: tests * fix: missing breaks * fix: get asset with missing exif data --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
69 lines
2.4 KiB
TypeScript
69 lines
2.4 KiB
TypeScript
import { assertMachineLearningEnabled } from '@app/common';
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import { BadRequestException, Inject, Injectable, Logger } from '@nestjs/common';
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import { JobCommandDto } from './dto';
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import { JobCommand, JobName, QueueName } from './job.constants';
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import { IJobRepository } from './job.repository';
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import { AllJobStatusResponseDto } from './response-dto';
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@Injectable()
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export class JobService {
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private logger = new Logger(JobService.name);
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constructor(@Inject(IJobRepository) private jobRepository: IJobRepository) {}
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handleCommand(queueName: QueueName, dto: JobCommandDto): Promise<void> {
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this.logger.debug(`Handling command: queue=${queueName},force=${dto.force}`);
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switch (dto.command) {
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case JobCommand.START:
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return this.start(queueName, dto);
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case JobCommand.PAUSE:
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return this.jobRepository.pause(queueName);
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case JobCommand.EMPTY:
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return this.jobRepository.empty(queueName);
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}
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}
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async getAllJobsStatus(): Promise<AllJobStatusResponseDto> {
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const response = new AllJobStatusResponseDto();
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for (const queueName of Object.values(QueueName)) {
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response[queueName] = await this.jobRepository.getJobCounts(queueName);
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}
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return response;
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}
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private async start(name: QueueName, { force }: JobCommandDto): Promise<void> {
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const isActive = await this.jobRepository.isActive(name);
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if (isActive) {
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throw new BadRequestException(`Job is already running`);
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}
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switch (name) {
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case QueueName.VIDEO_CONVERSION:
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return this.jobRepository.queue({ name: JobName.QUEUE_VIDEO_CONVERSION, data: { force } });
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case QueueName.STORAGE_TEMPLATE_MIGRATION:
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return this.jobRepository.queue({ name: JobName.STORAGE_TEMPLATE_MIGRATION });
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case QueueName.OBJECT_TAGGING:
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assertMachineLearningEnabled();
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return this.jobRepository.queue({ name: JobName.QUEUE_OBJECT_TAGGING, data: { force } });
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case QueueName.CLIP_ENCODING:
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assertMachineLearningEnabled();
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return this.jobRepository.queue({ name: JobName.QUEUE_ENCODE_CLIP, data: { force } });
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case QueueName.METADATA_EXTRACTION:
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return this.jobRepository.queue({ name: JobName.QUEUE_METADATA_EXTRACTION, data: { force } });
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case QueueName.THUMBNAIL_GENERATION:
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return this.jobRepository.queue({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force } });
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default:
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throw new BadRequestException(`Invalid job name: ${name}`);
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}
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}
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}
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