Files
xiao/commands/search/wikipedia.js
T
2024-05-08 00:53:34 -04:00

70 lines
2.0 KiB
JavaScript

const Command = require('../../framework/Command');
const { EmbedBuilder, PermissionFlagsBits } = require('discord.js');
const request = require('node-superfetch');
const logos = require('../../assets/json/logos');
module.exports = class WikipediaCommand extends Command {
constructor(client) {
super(client, {
name: 'wikipedia',
group: 'search',
memberName: 'wikipedia',
description: 'Searches Wikipedia for your query.',
clientPermissions: [PermissionFlagsBits.EmbedLinks],
credit: [
{
name: 'Wikipedia',
url: 'https://www.wikipedia.org/',
reason: 'API',
reasonURL: 'https://en.wikipedia.org/w/api.php'
}
],
args: [
{
key: 'query',
type: 'string'
}
]
});
}
async run(msg, { query }) {
const { body } = await request
.get('https://en.wikipedia.org/w/api.php')
.query({
action: 'query',
prop: 'extracts|pageimages',
format: 'json',
titles: query,
exintro: '',
explaintext: '',
piprop: 'original',
redirects: '',
formatversion: 2
});
const data = body.query.pages[0];
if (data.missing) return msg.say('Could not find any results.');
let thumbnail = data.original ? data.original.source : null;
if (!msg.channel.nsfw && thumbnail) {
const img = await request.get(data.original.source);
const nsfw = await this.client.tensorflow.isImageNSFW(img.body);
if (nsfw) thumbnail = null;
}
let fact = data.extract;
if (fact.length > 200) {
const facts = fact.split('.');
fact = `${facts[0]}.`;
if (fact.length < 200 && facts.length > 1) fact += `${facts[1]}.`;
}
const url = `https://en.wikipedia.org/wiki/${encodeURIComponent(query).replaceAll(')', '%29')}`;
const embed = new EmbedBuilder()
.setColor(0xE7E7E7)
.setTitle(data.title)
.setAuthor({ name: 'Wikipedia', iconURL: logos.wikipedia, url: 'https://www.wikipedia.org/' })
.setURL(url)
.setThumbnail(thumbnail)
.setDescription(`${fact} [Read more...](${url})`);
return msg.embed(embed);
}
};