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WIP refactor container and queuing system (#206)
* refactor microservices to machine-learning * Update tGithub issue template with correct task syntax * Added microservices container * Communicate between service based on queue system * added dependency * Fixed problem with having to import BullQueue into the individual service * Added todo * refactor server into monorepo with microservices * refactor database and entity to library * added simple migration * Move migrations and database config to library * Migration works in library * Cosmetic change in logging message * added user dto * Fixed issue with testing not able to find the shared library * Clean up library mapping path * Added webp generator to microservices * Update Github Action build latest * Fixed issue NPM cannot install due to conflict witl Bull Queue * format project with prettier * Modified docker-compose file * Add GH Action for Staging build: * Fixed GH action job name * Modified GH Action to only build & push latest when pushing to main * Added Test 2e2 Github Action * Added Test 2e2 Github Action * Implemented microservice to extract exif * Added cronjob to scan and generate webp thumbnail at midnight * Refactor to ireduce hit time to database when running microservices * Added error handling to asset services that handle read file from disk * Added video transcoding queue to process one video at a time * Fixed loading spinner on web while loading covering the info panel * Add mechanism to show new release announcement to web and mobile app (#209) * Added changelog page * Fixed issues based on PR comments * Fixed issue with video transcoding run on the server * Change entry point content for backward combatibility when starting up server * Added announcement box * Added error handling to failed silently when the app version checking is not able to make the request to GITHUB * Added new version announcement overlay * Update message * Added messages * Added logic to check and show announcement * Add method to handle saving new version * Added button to dimiss the acknowledge message * Up version for deployment to the app store
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192 changed files with 1823 additions and 2117 deletions
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import { InjectQueue, OnQueueActive, OnQueueCompleted, OnQueueWaiting, Process, Processor } from '@nestjs/bull';
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import { Job, Queue } from 'bull';
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import { AssetEntity, AssetType } from '@app/database/entities/asset.entity';
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import { InjectRepository } from '@nestjs/typeorm';
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import { Repository } from 'typeorm';
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import { randomUUID } from 'crypto';
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@Processor('asset-uploaded-queue')
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export class AssetUploadedProcessor {
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constructor(
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@InjectQueue('thumbnail-generator-queue')
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private thumbnailGeneratorQueue: Queue,
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@InjectQueue('metadata-extraction-queue')
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private metadataExtractionQueue: Queue,
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@InjectQueue('video-conversion-queue')
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private videoConversionQueue: Queue,
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@InjectRepository(AssetEntity)
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private assetRepository: Repository<AssetEntity>,
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) {}
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/**
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* Post processing uploaded asset to perform the following function if missing
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* 1. Generate JPEG Thumbnail
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* 2. Generate Webp Thumbnail <-> if JPEG thumbnail exist
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* 3. EXIF extractor
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* 4. Reverse Geocoding
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*
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* @param job asset-uploaded
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*/
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@Process('asset-uploaded')
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async processUploadedVideo(job: Job) {
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const {
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asset,
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fileName,
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fileSize,
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hasThumbnail,
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}: { asset: AssetEntity; fileName: string; fileSize: number; hasThumbnail: boolean } = job.data;
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if (hasThumbnail) {
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// The jobs below depends on the existence of jpeg thumbnail
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await this.thumbnailGeneratorQueue.add('generate-webp-thumbnail', { asset }, { jobId: randomUUID() });
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await this.metadataExtractionQueue.add('tag-image', { asset }, { jobId: randomUUID() });
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await this.metadataExtractionQueue.add('detect-object', { asset }, { jobId: randomUUID() });
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} else {
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// Generate Thumbnail -> Then generate webp, tag image and detect object
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}
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// Video Conversion
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if (asset.type == AssetType.VIDEO) {
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await this.videoConversionQueue.add('mp4-conversion', { asset }, { jobId: randomUUID() });
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} else {
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// Extract Metadata/Exif for Images - Currently the library cannot extract EXIF for video yet
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await this.metadataExtractionQueue.add(
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'exif-extraction',
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{
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asset,
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fileName,
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fileSize,
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},
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{ jobId: randomUUID() },
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);
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}
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}
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}
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