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69 lines
2.0 KiB
JavaScript
69 lines
2.0 KiB
JavaScript
const Command = require('../../framework/Command');
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const { GuildEmoji } = require('discord.js');
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const request = require('node-superfetch');
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const { createCanvas, loadImage } = require('canvas');
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const twemoji = require('@twemoji/parser');
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module.exports = class EmojiFaceCommand extends Command {
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constructor(client) {
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super(client, {
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name: 'emoji-face',
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aliases: ['emoji-f', 'e-face'],
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group: 'edit-face',
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memberName: 'emoji-face',
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description: 'Draws an emoji onto the faces in an image.',
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throttling: {
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usages: 1,
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duration: 60
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},
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args: [
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{
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key: 'emoji',
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type: 'custom-emoji|default-emoji'
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},
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{
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key: 'image',
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type: 'image-or-avatar'
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}
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]
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});
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}
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async run(msg, { emoji, image }) {
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let emojiURL;
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if (emoji instanceof GuildEmoji) {
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emojiURL = emoji.url;
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} else {
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const parsed = twemoji.parse(emoji);
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if (!parsed.length || !parsed[0].url) return msg.reply('This emoji is not yet supported.');
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emojiURL = parsed[0].url;
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}
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const emojiData = await request.get(emojiURL);
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const emojiImg = await loadImage(emojiData.body);
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const imgData = await request.get(image);
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const faces = await this.client.tensorflow.detectFaces(imgData.body);
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if (!faces) return msg.reply('There are no faces in this image.');
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if (faces === 'size') return msg.reply('This image is too large.');
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const base = await loadImage(imgData.body);
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const canvas = createCanvas(base.width, base.height);
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const ctx = canvas.getContext('2d');
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ctx.drawImage(base, 0, 0);
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for (const face of faces) {
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const ratio = face.box.width / emojiImg.width;
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const height = emojiImg.height * ratio;
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if (emojiURL.endsWith('svg')) {
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emojiImg.width = face.box.width * 1.4;
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emojiImg.height = height * 1.4;
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}
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ctx.drawImage(
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emojiImg,
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face.box.xMin - (face.box.width * 0.2),
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face.box.yMin - (height / 2.5),
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face.box.width * 1.4,
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height * 1.4
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);
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}
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return msg.say({ files: [{ attachment: canvas.toBuffer(), name: 'emoji-face.png' }] });
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}
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};
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