immich/server/apps/microservices/src/processors/video-transcode.processor.ts
Alex a8220172f8
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
2022-06-11 16:12:06 -05:00

60 lines
2.2 KiB
TypeScript

import { Process, Processor } from '@nestjs/bull';
import { Logger } from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import { Job } from 'bull';
import ffmpeg from 'fluent-ffmpeg';
import { existsSync, mkdirSync } from 'fs';
import { Repository } from 'typeorm';
import { AssetEntity } from '../../../../libs/database/src/entities/asset.entity';
import { APP_UPLOAD_LOCATION } from '../../../immich/src/constants/upload_location.constant';
@Processor('video-conversion-queue')
export class VideoTranscodeProcessor {
constructor(
@InjectRepository(AssetEntity)
private assetRepository: Repository<AssetEntity>,
) {}
@Process({ name: 'mp4-conversion', concurrency: 1 })
async mp4Conversion(job: Job) {
const { asset }: { asset: AssetEntity } = job.data;
if (asset.mimeType != 'video/mp4') {
const basePath = APP_UPLOAD_LOCATION;
const encodedVideoPath = `${basePath}/${asset.userId}/encoded-video`;
if (!existsSync(encodedVideoPath)) {
mkdirSync(encodedVideoPath, { recursive: true });
}
const savedEncodedPath = encodedVideoPath + '/' + asset.id + '.mp4';
if (asset.encodedVideoPath == '' || !asset.encodedVideoPath) {
// Put the processing into its own async function to prevent the job exist right away
await this.runFFMPEGPipeLine(asset, savedEncodedPath);
}
}
}
async runFFMPEGPipeLine(asset: AssetEntity, savedEncodedPath: string): Promise<void> {
return new Promise((resolve, reject) => {
ffmpeg(asset.originalPath)
.outputOptions(['-crf 23', '-preset ultrafast', '-vcodec libx264', '-acodec mp3', '-vf scale=1280:-2'])
.output(savedEncodedPath)
.on('start', () => {
Logger.log('Start Converting', 'mp4Conversion');
})
.on('error', (error, b, c) => {
Logger.error(`Cannot Convert Video ${error}`, 'mp4Conversion');
reject();
})
.on('end', async () => {
Logger.log(`Converting Success ${asset.id}`, 'mp4Conversion');
await this.assetRepository.update({ id: asset.id }, { encodedVideoPath: savedEncodedPath });
resolve();
})
.run();
});
}
}