feat(web,server)!: configure machine learning via the UI (#3768)

This commit is contained in:
Jason Rasmussen
2023-08-25 00:15:03 -04:00
committed by GitHub
parent 2cccef174a
commit 8211afb726
52 changed files with 831 additions and 649 deletions
@@ -1,23 +1,31 @@
import { Inject, Injectable, Logger } from '@nestjs/common';
import { Inject, Injectable } from '@nestjs/common';
import { IAssetRepository, WithoutProperty } from '../asset';
import { MACHINE_LEARNING_ENABLED } from '../domain.constant';
import { usePagination } from '../domain.util';
import { IBaseJob, IEntityJob, IJobRepository, JobName, JOBS_ASSET_PAGINATION_SIZE } from '../job';
import { ISystemConfigRepository, SystemConfigCore } from '../system-config';
import { IMachineLearningRepository } from './machine-learning.interface';
import { ISmartInfoRepository } from './smart-info.repository';
@Injectable()
export class SmartInfoService {
private logger = new Logger(SmartInfoService.name);
private configCore: SystemConfigCore;
constructor(
@Inject(IAssetRepository) private assetRepository: IAssetRepository,
@Inject(ISystemConfigRepository) configRepository: ISystemConfigRepository,
@Inject(IJobRepository) private jobRepository: IJobRepository,
@Inject(ISmartInfoRepository) private repository: ISmartInfoRepository,
@Inject(IMachineLearningRepository) private machineLearning: IMachineLearningRepository,
) {}
) {
this.configCore = new SystemConfigCore(configRepository);
}
async handleQueueObjectTagging({ force }: IBaseJob) {
const { machineLearning } = await this.configCore.getConfig();
if (!machineLearning.enabled || !machineLearning.tagImageEnabled) {
return true;
}
const assetPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) => {
return force
? this.assetRepository.getAll(pagination)
@@ -34,19 +42,28 @@ export class SmartInfoService {
}
async handleClassifyImage({ id }: IEntityJob) {
const [asset] = await this.assetRepository.getByIds([id]);
const { machineLearning } = await this.configCore.getConfig();
if (!machineLearning.enabled || !machineLearning.tagImageEnabled) {
return true;
}
if (!MACHINE_LEARNING_ENABLED || !asset.resizePath) {
const [asset] = await this.assetRepository.getByIds([id]);
if (!asset.resizePath) {
return false;
}
const tags = await this.machineLearning.classifyImage({ imagePath: asset.resizePath });
const tags = await this.machineLearning.classifyImage(machineLearning.url, { imagePath: asset.resizePath });
await this.repository.upsert({ assetId: asset.id, tags });
return true;
}
async handleQueueEncodeClip({ force }: IBaseJob) {
const { machineLearning } = await this.configCore.getConfig();
if (!machineLearning.enabled || !machineLearning.clipEncodeEnabled) {
return true;
}
const assetPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) => {
return force
? this.assetRepository.getAll(pagination)
@@ -63,13 +80,17 @@ export class SmartInfoService {
}
async handleEncodeClip({ id }: IEntityJob) {
const [asset] = await this.assetRepository.getByIds([id]);
const { machineLearning } = await this.configCore.getConfig();
if (!machineLearning.enabled || !machineLearning.clipEncodeEnabled) {
return true;
}
if (!MACHINE_LEARNING_ENABLED || !asset.resizePath) {
const [asset] = await this.assetRepository.getByIds([id]);
if (!asset.resizePath) {
return false;
}
const clipEmbedding = await this.machineLearning.encodeImage({ imagePath: asset.resizePath });
const clipEmbedding = await this.machineLearning.encodeImage(machineLearning.url, { imagePath: asset.resizePath });
await this.repository.upsert({ assetId: asset.id, clipEmbedding: clipEmbedding });
return true;