mirror of
https://github.com/xuthus83/pigallery2.git
synced 2024-11-03 21:04:03 +08:00
269 lines
8.4 KiB
TypeScript
269 lines
8.4 KiB
TypeScript
import {Metadata, Sharp} from 'sharp';
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import {Dimensions, State} from 'gm';
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import {Logger} from '../../Logger';
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import {FfmpegCommand, FfprobeData} from 'fluent-ffmpeg';
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import {ThumbnailProcessingLib} from '../../../common/config/private/IPrivateConfig';
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import {FFmpegFactory} from '../FFmpegFactory';
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export class ThumbnailWorker {
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private static imageRenderer: (input: RendererInput) => Promise<void> = null;
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private static videoRenderer: (input: RendererInput) => Promise<void> = null;
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private static rendererType: ThumbnailProcessingLib = null;
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public static render(input: RendererInput, renderer: ThumbnailProcessingLib): Promise<void> {
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if (input.type === ThumbnailSourceType.Image) {
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return this.renderFromImage(input, renderer);
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}
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return this.renderFromVideo(input);
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}
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public static renderFromImage(input: RendererInput, renderer: ThumbnailProcessingLib): Promise<void> {
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if (ThumbnailWorker.rendererType !== renderer) {
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ThumbnailWorker.imageRenderer = ImageRendererFactory.build(renderer);
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ThumbnailWorker.rendererType = renderer;
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}
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return ThumbnailWorker.imageRenderer(input);
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}
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public static renderFromVideo(input: RendererInput): Promise<void> {
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if (ThumbnailWorker.videoRenderer === null) {
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ThumbnailWorker.videoRenderer = VideoRendererFactory.build();
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}
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return ThumbnailWorker.videoRenderer(input);
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}
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}
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export enum ThumbnailSourceType {
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Image, Video
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}
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export interface RendererInput {
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type: ThumbnailSourceType;
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mediaPath: string;
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size: number;
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makeSquare: boolean;
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thPath: string;
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qualityPriority: boolean;
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cut?: {
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left: number,
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top: number,
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width: number,
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height: number
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};
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}
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export class VideoRendererFactory {
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public static build(): (input: RendererInput) => Promise<void> {
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const ffmpeg = FFmpegFactory.get();
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const path = require('path');
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return (input: RendererInput): Promise<void> => {
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return new Promise((resolve, reject) => {
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Logger.silly('[FFmpeg] rendering thumbnail: ' + input.mediaPath);
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ffmpeg(input.mediaPath).ffprobe((err: any, data: FfprobeData) => {
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if (!!err || data === null) {
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return reject('[FFmpeg] ' + err.toString());
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}
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/// console.log(data);
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let width = null;
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let height = null;
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for (let i = 0; i < data.streams.length; i++) {
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if (data.streams[i].width) {
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width = data.streams[i].width;
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height = data.streams[i].height;
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break;
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}
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}
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if (!width || !height) {
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return reject('[FFmpeg] Can not read video dimension');
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}
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const ratio = height / width;
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const command: FfmpegCommand = ffmpeg(input.mediaPath);
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const fileName = path.basename(input.thPath);
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const folder = path.dirname(input.thPath);
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let executedCmd = '';
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command
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.on('start', (cmd) => {
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executedCmd = cmd;
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})
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.on('end', () => {
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resolve();
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})
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.on('error', (e) => {
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reject('[FFmpeg] ' + e.toString() + ' executed: ' + executedCmd);
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})
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.outputOptions(['-qscale:v 4']);
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if (input.makeSquare === false) {
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const newWidth = Math.round(Math.sqrt((input.size * input.size) / ratio));
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command.takeScreenshots({
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timemarks: ['10%'], size: newWidth + 'x?', filename: fileName, folder: folder
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});
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} else {
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command.takeScreenshots({
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timemarks: ['10%'], size: input.size + 'x' + input.size, filename: fileName, folder: folder
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});
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}
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});
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});
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};
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}
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}
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export class ImageRendererFactory {
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public static build(renderer: ThumbnailProcessingLib): (input: RendererInput) => Promise<void> {
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switch (renderer) {
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case ThumbnailProcessingLib.Jimp:
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return ImageRendererFactory.Jimp();
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case ThumbnailProcessingLib.gm:
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return ImageRendererFactory.Gm();
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case ThumbnailProcessingLib.sharp:
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return ImageRendererFactory.Sharp();
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}
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throw new Error('unknown renderer');
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}
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public static Jimp() {
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const Jimp = require('jimp');
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return async (input: RendererInput): Promise<void> => {
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// generate thumbnail
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Logger.silly('[JimpThRenderer] rendering thumbnail:' + input.mediaPath);
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const image = await Jimp.read(input.mediaPath);
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/**
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* newWidth * newHeight = size*size
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* newHeight/newWidth = height/width
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*
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* newHeight = (height/width)*newWidth
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* newWidth * newWidth = (size*size) / (height/width)
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*
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* @type {number}
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*/
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const ratio = image.bitmap.height / image.bitmap.width;
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const algo = input.qualityPriority === true ? Jimp.RESIZE_BEZIER : Jimp.RESIZE_NEAREST_NEIGHBOR;
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if (input.cut) {
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image.crop(
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input.cut.left,
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input.cut.top,
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input.cut.width,
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input.cut.height
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);
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}
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if (input.makeSquare === false) {
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const newWidth = Math.sqrt((input.size * input.size) / ratio);
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image.resize(newWidth, Jimp.AUTO, algo);
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} else {
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image.resize(input.size / Math.min(ratio, 1), Jimp.AUTO, algo);
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image.crop(0, 0, input.size, input.size);
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}
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image.quality(60); // set JPEG quality
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await new Promise((resolve, reject) => {
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image.write(input.thPath, (err: Error | null) => { // save
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if (err) {
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return reject('[JimpThRenderer] ' + err.toString());
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}
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resolve();
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});
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});
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};
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}
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public static Sharp() {
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const sharp = require('sharp');
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sharp.cache(false);
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return async (input: RendererInput): Promise<void> => {
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Logger.silly('[SharpThRenderer] rendering thumbnail:' + input.mediaPath);
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const image: Sharp = sharp(input.mediaPath, {failOnError: false});
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const metadata: Metadata = await image.metadata();
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/**
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* newWidth * newHeight = size*size
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* newHeight/newWidth = height/width
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*
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* newHeight = (height/width)*newWidth
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* newWidth * newWidth = (size*size) / (height/width)
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*
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* @type {number}
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*/
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const ratio = metadata.height / metadata.width;
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const kernel = input.qualityPriority === true ? sharp.kernel.lanczos3 : sharp.kernel.nearest;
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if (input.cut) {
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image.extract(input.cut);
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}
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if (input.makeSquare === false) {
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const newWidth = Math.round(Math.sqrt((input.size * input.size) / ratio));
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image.resize(newWidth, null, {
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kernel: kernel
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});
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} else {
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image
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.resize(input.size, input.size, {
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kernel: kernel,
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position: sharp.gravity.centre,
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fit: 'cover'
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});
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}
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await image.jpeg().toFile(input.thPath);
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};
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}
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public static Gm() {
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const gm = require('gm');
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return (input: RendererInput): Promise<void> => {
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return new Promise((resolve, reject) => {
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Logger.silly('[GMThRenderer] rendering thumbnail:' + input.mediaPath);
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let image: State = gm(input.mediaPath);
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image.size((err, value: Dimensions) => {
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if (err) {
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return reject('[GMThRenderer] ' + err.toString());
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}
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/**
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* newWidth * newHeight = size*size
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* newHeight/newWidth = height/width
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*
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* newHeight = (height/width)*newWidth
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* newWidth * newWidth = (size*size) / (height/width)
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*
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* @type {number}
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*/
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try {
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const ratio = value.height / value.width;
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const filter = input.qualityPriority === true ? 'Lanczos' : 'Point';
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image.filter(filter);
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if (input.makeSquare === false) {
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const newWidth = Math.round(Math.sqrt((input.size * input.size) / ratio));
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image = image.resize(newWidth);
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} else {
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image = image.resize(input.size, input.size)
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.crop(input.size, input.size);
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}
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image.write(input.thPath, (e) => {
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if (e) {
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return reject('[GMThRenderer] ' + e.toString());
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}
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return resolve();
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});
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} catch (err) {
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return reject('[GMThRenderer] ' + err.toString());
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}
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});
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});
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};
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}
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}
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