forked from Cutlery/immich
103 lines
3.6 KiB
TypeScript
103 lines
3.6 KiB
TypeScript
import { APP_UPLOAD_LOCATION } from '@app/common/constants';
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import { AssetEntity } from '@app/infra';
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import { IVideoConversionProcessor, JobName, QueueName, SystemConfigService } from '@app/domain';
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import { Process, Processor } from '@nestjs/bull';
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import { Logger } from '@nestjs/common';
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import { InjectRepository } from '@nestjs/typeorm';
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import { Job } from 'bull';
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import ffmpeg, { FfprobeData } from 'fluent-ffmpeg';
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import { existsSync, mkdirSync } from 'fs';
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import { Repository } from 'typeorm';
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@Processor(QueueName.VIDEO_CONVERSION)
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export class VideoTranscodeProcessor {
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readonly logger = new Logger(VideoTranscodeProcessor.name);
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constructor(
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@InjectRepository(AssetEntity)
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private assetRepository: Repository<AssetEntity>,
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private systemConfigService: SystemConfigService,
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) {}
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@Process({ name: JobName.VIDEO_CONVERSION, concurrency: 2 })
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async videoConversion(job: Job<IVideoConversionProcessor>) {
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const { asset } = job.data;
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const basePath = APP_UPLOAD_LOCATION;
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const encodedVideoPath = `${basePath}/${asset.userId}/encoded-video`;
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if (!existsSync(encodedVideoPath)) {
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mkdirSync(encodedVideoPath, { recursive: true });
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}
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const savedEncodedPath = `${encodedVideoPath}/${asset.id}.mp4`;
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await this.runVideoEncode(asset, savedEncodedPath);
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}
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async runFFProbePipeline(asset: AssetEntity): Promise<FfprobeData> {
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return new Promise((resolve, reject) => {
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ffmpeg.ffprobe(asset.originalPath, (err, data) => {
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if (err || !data) {
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this.logger.error(`Cannot probe video ${err}`, 'runFFProbePipeline');
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reject(err);
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}
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resolve(data);
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});
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});
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}
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async runVideoEncode(asset: AssetEntity, savedEncodedPath: string): Promise<void> {
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const config = await this.systemConfigService.getConfig();
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if (config.ffmpeg.transcodeAll) {
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return this.runFFMPEGPipeLine(asset, savedEncodedPath);
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}
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const videoInfo = await this.runFFProbePipeline(asset);
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const videoStreams = videoInfo.streams.filter((stream) => {
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return stream.codec_type === 'video';
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});
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const longestVideoStream = videoStreams.sort((stream1, stream2) => {
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const stream1Frames = Number.parseInt(stream1.nb_frames ?? '0');
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const stream2Frames = Number.parseInt(stream2.nb_frames ?? '0');
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return stream2Frames - stream1Frames;
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})[0];
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//TODO: If video or audio are already the correct format, don't re-encode, copy the stream
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if (longestVideoStream.codec_name !== config.ffmpeg.targetVideoCodec) {
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return this.runFFMPEGPipeLine(asset, savedEncodedPath);
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}
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}
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async runFFMPEGPipeLine(asset: AssetEntity, savedEncodedPath: string): Promise<void> {
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const config = await this.systemConfigService.getConfig();
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return new Promise((resolve, reject) => {
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ffmpeg(asset.originalPath)
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.outputOptions([
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`-crf ${config.ffmpeg.crf}`,
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`-preset ${config.ffmpeg.preset}`,
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`-vcodec ${config.ffmpeg.targetVideoCodec}`,
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`-acodec ${config.ffmpeg.targetAudioCodec}`,
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`-vf scale=${config.ffmpeg.targetScaling}`,
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])
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.output(savedEncodedPath)
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.on('start', () => {
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this.logger.log('Start Converting Video');
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})
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.on('error', (error) => {
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this.logger.error(`Cannot Convert Video ${error}`);
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reject();
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})
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.on('end', async () => {
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this.logger.log(`Converting Success ${asset.id}`);
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await this.assetRepository.update({ id: asset.id }, { encodedVideoPath: savedEncodedPath });
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resolve();
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})
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.run();
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});
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}
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}
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