feat(route): add Meta AI global search #21839
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| Original file line number | Diff line number | Diff line change |
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| import querystring from 'node:querystring'; | ||
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| import type { Route } from '@/types'; | ||
| import ofetch from '@/utils/ofetch'; | ||
| import { parseDate } from '@/utils/parse-date'; | ||
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| import { buildGraphqlBody, getMetaServerContext, GRAPHQL_ENDPOINT, metaGraphqlHeaders } from './utils'; | ||
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| export const route: Route = { | ||
| path: '/ai/global-search/:routeParams?', | ||
| categories: ['programming'], | ||
| example: '/meta/ai/global-search/content_types=blog', | ||
| name: 'AI Global Search', | ||
| maintainers: ['shcheglovnd'], | ||
| url: 'ai.meta.com/global_search/', | ||
| parameters: { | ||
| routeParams: | ||
| 'URL-encoded query string of filters (path-based so each combination caches independently). Supported keys: `q` (search query), `content_types` (comma-separated: `person`, `publication`, `blog`, `dataset`, `event`, `tool`), `research_areas` (e.g. `natural-language-processing,computer-vision`), `filter_tags` (`research`, `ml-applications`, `open-source`, `developer-tools`, `ar-vr`, `hardware`), `years` (e.g. `2024,2025`), `location_cities` (publication venues like `AAAI,ACL`), `alphabetical_filter` (single letter, pairs with `content_types=person`+`sort_by=ALPHABETICAL`), `sort_by` (`RELEVANCE`, `MOST_RECENT`, `ALPHABETICAL`, `RANDOM`, default `RELEVANCE`), `offset` (default `0`). Combine multiple filters by encoding `&` as `%26`.', | ||
| }, | ||
| description: 'Page size can be tuned with the `limit` query string parameter (default `36`).', | ||
| radar: [ | ||
| { | ||
| source: ['ai.meta.com/global_search/', 'ai.meta.com/global_search', 'ai.meta.com/results/'], | ||
| }, | ||
| ], | ||
| handler, | ||
| }; | ||
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| const toList = (value: string | undefined): string[] | null => { | ||
| if (!value) { | ||
| return null; | ||
| } | ||
| const list = value | ||
| .split(',') | ||
| .map((s) => s.trim()) | ||
| .filter(Boolean); | ||
| return list.length ? list : null; | ||
| }; | ||
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| const firstString = (value: string | string[] | undefined): string | undefined => (Array.isArray(value) ? value[0] : value); | ||
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| type ResultShape = { | ||
| title: string; | ||
| description: string | null; | ||
| href: string; | ||
| image_src: string | null; | ||
| cmsid: string; | ||
| type: string; | ||
| authors: string | null; | ||
| tags: string[] | null; | ||
| location: string | null; | ||
| journal_number: string | null; | ||
| published_time: string | null; | ||
| year: string | null; | ||
| }; | ||
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| type SearchInput = { | ||
| alphabetical_filter: string | null; | ||
| content_types: string[] | null; | ||
| offset: number; | ||
| search_query: string; | ||
| sort_by: string; | ||
| filter_tags: string[] | null; | ||
| location_cities: string[] | null; | ||
| research_areas: string[] | null; | ||
| years: string[] | null; | ||
| }; | ||
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| const buildSearchInput = (params: querystring.ParsedUrlQuery): SearchInput => ({ | ||
| alphabetical_filter: firstString(params.alphabetical_filter) || null, | ||
| content_types: toList(firstString(params.content_types)), | ||
| offset: Number.parseInt(firstString(params.offset) ?? '0', 10), | ||
| search_query: firstString(params.q) ?? firstString(params.search_query) ?? '', | ||
| sort_by: firstString(params.sort_by) ?? 'RELEVANCE', | ||
| filter_tags: toList(firstString(params.filter_tags)), | ||
| location_cities: toList(firstString(params.location_cities)), | ||
| research_areas: toList(firstString(params.research_areas)), | ||
| years: toList(firstString(params.years)), | ||
| }); | ||
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| const summarizeFilters = (input: SearchInput): string => { | ||
| const parts: string[] = []; | ||
| if (input.search_query) { | ||
| parts.push(`q=${input.search_query}`); | ||
| } | ||
| if (input.content_types) { | ||
| parts.push(`content_types=${input.content_types.join(',')}`); | ||
| } | ||
| if (input.research_areas) { | ||
| parts.push(`research_areas=${input.research_areas.join(',')}`); | ||
| } | ||
| if (input.filter_tags) { | ||
| parts.push(`filter_tags=${input.filter_tags.join(',')}`); | ||
| } | ||
| if (input.years) { | ||
| parts.push(`years=${input.years.join(',')}`); | ||
| } | ||
| if (input.location_cities) { | ||
| parts.push(`location_cities=${input.location_cities.join(',')}`); | ||
| } | ||
| if (input.alphabetical_filter) { | ||
| parts.push(`alphabetical_filter=${input.alphabetical_filter}`); | ||
| } | ||
| return parts.join(' · '); | ||
| }; | ||
|
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| const mapItem = (item: ResultShape) => ({ | ||
| title: item.title, | ||
| description: item.description ?? '', | ||
| link: item.href?.startsWith('http') ? item.href : `https://ai.meta.com${item.href}`, | ||
| pubDate: item.published_time ? parseDate(Number(item.published_time) * 1000) : undefined, | ||
| author: item.authors || undefined, | ||
| category: [item.type, ...(item.tags ?? [])].filter(Boolean) as string[], | ||
| image: item.image_src || undefined, | ||
| guid: item.cmsid, | ||
| }); | ||
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| async function handler(ctx) { | ||
| const link = 'https://ai.meta.com/global_search/'; | ||
| const { server } = await getMetaServerContext(link); | ||
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| const params = querystring.parse(ctx.req.param('routeParams') || ''); | ||
| const limit = Number.parseInt(ctx.req.query('limit') ?? '36', 10); | ||
| const input = buildSearchInput(params); | ||
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| const friendlyName = 'useFBAIGlobalSearchQuery'; | ||
| const data = await ofetch(GRAPHQL_ENDPOINT, { | ||
| method: 'POST', | ||
| headers: metaGraphqlHeaders(server, friendlyName), | ||
| body: buildGraphqlBody({ | ||
| server, | ||
| friendlyName, | ||
| docId: '9716930201759979', | ||
| variables: { input }, | ||
| }), | ||
| parseResponse: JSON.parse, | ||
| }); | ||
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| const result = data?.data?.result; | ||
| const shapes: ResultShape[] = result?.result_shapes ?? []; | ||
| const items = shapes.slice(0, limit).map((item) => mapItem(item)); | ||
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| const filterSummary = summarizeFilters(input); | ||
| const baseTitle = 'Meta AI Global Search'; | ||
| return { | ||
| title: filterSummary ? `${baseTitle} — ${filterSummary}` : baseTitle, | ||
| description: 'Search results from ai.meta.com/global_search/.', | ||
| link, | ||
| item: items, | ||
| }; | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,82 @@ | ||
| import { type CheerioAPI, load } from 'cheerio'; | ||
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| import ofetch from '@/utils/ofetch'; | ||
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| export type ServerData = { | ||
| LSD: { token: string }; | ||
| SiteData: { | ||
| haste_session: string; | ||
| hsi: string; | ||
| __spin_r: number; | ||
| __spin_b: string; | ||
| __spin_t: number; | ||
| }; | ||
| }; | ||
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| export async function getMetaServerContext(link: string): Promise<{ $: CheerioAPI; server: ServerData }> { | ||
| const res = await ofetch(link, { | ||
| headers: { | ||
| 'sec-fetch-dest': 'document', | ||
| 'sec-fetch-mode': 'navigate', | ||
| 'sec-fetch-site': 'none', | ||
| 'sec-fetch-user': '?1', | ||
| }, | ||
| }); | ||
| const $ = load(res); | ||
| const script = $('script:contains("DTSGInitialData"):first').text(); | ||
| const serverJs = JSON.parse(script.match(/\(new ServerJS\(\)\)\.handle\((\{[\s\S]*?\})\);/)?.[1] || '{}'); | ||
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| const server: ServerData = { | ||
| LSD: { token: '' }, | ||
| SiteData: { | ||
| haste_session: '', | ||
| hsi: '', | ||
| __spin_r: 0, | ||
| __spin_b: 'trunk', | ||
| __spin_t: Date.now(), | ||
| }, | ||
| }; | ||
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| for (const obj of serverJs.define ?? []) { | ||
| const key = obj[0]; | ||
| const value = obj[2]; | ||
| server[key as keyof ServerData] = value; | ||
| } | ||
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| return { $, server }; | ||
| } | ||
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| export function buildGraphqlBody({ server, friendlyName, docId, variables }: { server: ServerData; friendlyName: string; docId: string; variables: unknown }) { | ||
| return new URLSearchParams({ | ||
| av: '0', | ||
| __user: '0', | ||
| __a: '1', | ||
| __req: '1', | ||
| dpr: '1', | ||
| __ccg: 'EXCELLENT', | ||
| __rev: String(server.SiteData.__spin_r || ''), | ||
| lsd: server.LSD.token, | ||
| __spin_r: String(server.SiteData.__spin_r || ''), | ||
| __spin_b: String(server.SiteData.__spin_b || 'trunk'), | ||
| __spin_t: String(server.SiteData.__spin_t || Date.now()), | ||
| fb_api_caller_class: 'RelayModern', | ||
| fb_api_req_friendly_name: friendlyName, | ||
| variables: JSON.stringify(variables), | ||
| server_timestamps: 'true', | ||
| doc_id: docId, | ||
| }); | ||
| } | ||
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| export function metaGraphqlHeaders(server: ServerData, friendlyName: string) { | ||
| return { | ||
| 'content-type': 'application/x-www-form-urlencoded', | ||
| 'sec-fetch-dest': 'empty', | ||
| 'sec-fetch-mode': 'cors', | ||
| 'sec-fetch-site': 'same-origin', | ||
| 'x-asbd-id': '359341', | ||
| 'x-fb-friendly-name': friendlyName, | ||
| 'x-fb-lsd': server.LSD.token, | ||
| }; | ||
| } | ||
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| export const GRAPHQL_ENDPOINT = 'https://ai.meta.com/api/graphql/'; |
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Don't remove those as they maybe needed later.