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const { createEmbed, formatPaginationEmbeds, page } = require('../../../../labscore/utils/embed')
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const { editOrReply } = require('../../../../labscore/utils/message')
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const { STATICS } = require('../../../../labscore/utils/statics')
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const { paginator } = require('../../../../labscore/client');
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const { wolframAlpha } = require('../../../../labscore/api');
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const { citation } = require('../../../../labscore/utils/markdown');
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const { ApplicationCommandTypes, InteractionCallbackTypes } = require('detritus-client/lib/constants');
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function createWolframPage(context, pod, query, sources) {
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let res = page(createEmbed("default", context, {
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author: {
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name: pod.title,
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url: `https://www.wolframalpha.com/input?i=${encodeURIComponent(query)}`
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},
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description: undefined,
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footer: {
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iconUrl: STATICS.wolframalpha,
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text: `Wolfram|Alpha • ${context.application.name}`
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}
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}))
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if (pod.icon) res.embeds[0].author.iconUrl = pod.icon
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if (pod.value) res.embeds[0].description = pod.value.substr(0, 1000)
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if (pod.value && pod.refs) {
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for (const r of pod.refs) {
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let src = Object.values(sources).filter((s) => s.ref == r)[0]
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if (!src) continue;
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// Only add a direct source if one is available
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if (src.collections) {
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res.embeds[0].description += citation(r, src.url, src.title + ' | ' + src.collections[0].text)
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continue;
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}
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if (src.url) res.embeds[0].description += citation(r, src.url, src.title)
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}
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}
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if (pod.image) res.embeds[0].image = { url: pod.image };
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return res;
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}
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module.exports = {
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description: 'Compute with Wolfram|Alpha.',
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name: 'wolfram-alpha',
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options: [
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{
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name: 'query',
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description: 'Computational query',
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type: ApplicationCommandTypes.STRING,
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required: true
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}
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],
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run: async (context, args) => {
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await context.respond({data: {}, type: InteractionCallbackTypes.DEFERRED_CHANNEL_MESSAGE_WITH_SOURCE})
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if (!args.query) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (query).`))
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try {
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let search = await wolframAlpha(context, args.query)
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search = search.response
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if (search.body.status == 1) return editOrReply(context, createEmbed("warning", context, search.body.message))
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let pages = []
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for (const res of search.body.data) {
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pages.push(createWolframPage(context, res, args.query, search.body.sources))
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}
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await paginator.createPaginator({
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context,
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pages: formatPaginationEmbeds(pages)
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});
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} catch (e) {
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console.log(e)
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return editOrReply(context, createEmbed("error", context, `Unable to perform Wolfram|Alpha search.`))
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}
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},
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};
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