// import { Process, Processor } from '@nestjs/bull';
// import { InjectRepository } from '@nestjs/typeorm';
// import { Job } from 'bull';
// import { Repository } from 'typeorm';
// import { AssetEntity } from '../../api-v1/asset/entities/asset.entity';
// import sharp from 'sharp';
// import fs, { existsSync, mkdirSync } from 'fs';
// import { ConfigService } from '@nestjs/config';
// import * as tfnode from '@tensorflow/tfjs-node';
// import * as cocoSsd from '@tensorflow-models/coco-ssd';

// @Processor('machine-learning')
// export class MachineLearningProcessor {
//   constructor(
//     @InjectRepository(AssetEntity) private assetRepository: Repository<AssetEntity>,
//     private configService: ConfigService,
//   ) {}

//   @Process('object-detection')
//   async handleOptimization(job: Job) {
//     try {
//       const { resizePath }: { resizePath: string } = job.data;

//       const image = fs.readFileSync(resizePath);
//       const decodedImage = tfnode.node.decodeImage(image, 3) as tfnode.Tensor3D;
//       const model = await cocoSsd.load();
//       const predictions = await model.detect(decodedImage);
//       console.log('start predictions ------------------ ');
//       for (var result of predictions) {
//         console.log(`Found ${result.class} with score ${result.score}`);
//       }
//       console.log('end predictions ------------------ ');

//       return 'ok';
//     } catch (e) {
//       console.log('Error object detection ', e);
//     }
//   }
// }