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

View File

@@ -1,18 +1,17 @@
import { AlbumEntity, AssetEntity, AssetFaceEntity } from '@app/infra/entities';
import { BadRequestException, Inject, Injectable, Logger } from '@nestjs/common';
import { ConfigService } from '@nestjs/config';
import { Inject, Injectable, Logger } from '@nestjs/common';
import { mapAlbumWithAssets } from '../album';
import { IAlbumRepository } from '../album/album.repository';
import { AssetResponseDto, mapAsset } from '../asset';
import { IAssetRepository } from '../asset/asset.repository';
import { AuthUserDto } from '../auth';
import { MACHINE_LEARNING_ENABLED } from '../domain.constant';
import { usePagination } from '../domain.util';
import { AssetFaceId, IFaceRepository } from '../facial-recognition';
import { IAssetFaceJob, IBulkEntityJob, IJobRepository, JobName, JOBS_ASSET_PAGINATION_SIZE } from '../job';
import { IMachineLearningRepository } from '../smart-info';
import { FeatureFlag, ISystemConfigRepository, SystemConfigCore } from '../system-config';
import { SearchDto } from './dto';
import { SearchConfigResponseDto, SearchResponseDto } from './response-dto';
import { SearchResponseDto } from './response-dto';
import {
ISearchRepository,
OwnedFaceEntity,
@@ -30,8 +29,9 @@ interface SyncQueue {
@Injectable()
export class SearchService {
private logger = new Logger(SearchService.name);
private enabled: boolean;
private enabled = false;
private timer: NodeJS.Timer | null = null;
private configCore: SystemConfigCore;
private albumQueue: SyncQueue = {
upsert: new Set(),
@@ -51,16 +51,13 @@ export class SearchService {
constructor(
@Inject(IAlbumRepository) private albumRepository: IAlbumRepository,
@Inject(IAssetRepository) private assetRepository: IAssetRepository,
@Inject(ISystemConfigRepository) configRepository: ISystemConfigRepository,
@Inject(IFaceRepository) private faceRepository: IFaceRepository,
@Inject(IJobRepository) private jobRepository: IJobRepository,
@Inject(IMachineLearningRepository) private machineLearning: IMachineLearningRepository,
@Inject(ISearchRepository) private searchRepository: ISearchRepository,
configService: ConfigService,
) {
this.enabled = configService.get('TYPESENSE_ENABLED') !== 'false';
if (this.enabled) {
this.timer = setInterval(() => this.flush(), 5_000);
}
this.configCore = new SystemConfigCore(configRepository);
}
teardown() {
@@ -70,17 +67,8 @@ export class SearchService {
}
}
isEnabled() {
return this.enabled;
}
getConfig(): SearchConfigResponseDto {
return {
enabled: this.enabled,
};
}
async init() {
this.enabled = await this.configCore.hasFeature(FeatureFlag.SEARCH);
if (!this.enabled) {
return;
}
@@ -101,10 +89,13 @@ export class SearchService {
this.logger.debug('Queueing job to re-index all faces');
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACES });
}
this.timer = setInterval(() => this.flush(), 5_000);
}
async getExploreData(authUser: AuthUserDto): Promise<SearchExploreItem<AssetResponseDto>[]> {
this.assertEnabled();
await this.configCore.requireFeature(FeatureFlag.SEARCH);
const results = await this.searchRepository.explore(authUser.id);
const lookup = await this.getLookupMap(
results.reduce(
@@ -126,16 +117,18 @@ export class SearchService {
}
async search(authUser: AuthUserDto, dto: SearchDto): Promise<SearchResponseDto> {
this.assertEnabled();
const { machineLearning } = await this.configCore.getConfig();
await this.configCore.requireFeature(FeatureFlag.SEARCH);
const query = dto.q || dto.query || '*';
const strategy = dto.clip && MACHINE_LEARNING_ENABLED ? SearchStrategy.CLIP : SearchStrategy.TEXT;
const hasClip = machineLearning.enabled && machineLearning.clipEncodeEnabled;
const strategy = dto.clip && hasClip ? SearchStrategy.CLIP : SearchStrategy.TEXT;
const filters = { userId: authUser.id, ...dto };
let assets: SearchResult<AssetEntity>;
switch (strategy) {
case SearchStrategy.CLIP:
const clip = await this.machineLearning.encodeText(query);
const clip = await this.machineLearning.encodeText(machineLearning.url, query);
assets = await this.searchRepository.vectorSearch(clip, filters);
break;
case SearchStrategy.TEXT:
@@ -333,12 +326,6 @@ export class SearchService {
}
}
private assertEnabled() {
if (!this.enabled) {
throw new BadRequestException('Search is disabled');
}
}
private async idsToAlbums(ids: string[]): Promise<AlbumEntity[]> {
const entities = await this.albumRepository.getByIds(ids);
return this.patchAlbums(entities);