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