// This val fetches recent tweets about @SnapAR or Lens Studio // Updated to use Social Data instead of Twitter API import { socialDataSearch } from "https://esm.town/v/stevekrouse/socialDataSearch"; export default async function server(request: Request): Promise { // Updated to just Specs post-launch const query = "@Spectacles"; try { const data = await socialDataSearch(query); return retResponse(data.tweets); } catch (error) { console.error("Error fetching posts:", error); return new Response(JSON.stringify({ error: "Failed to fetch posts", details: error.message }), { status: 500, headers: { "Content-Type": "application/json" }, }); } } function retResponse(tweets: any[]): Response { const sevenDaysAgo = new Date(); sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7); const processedTweets = tweets .filter((tweet: any) => new Date(tweet.tweet_created_at) >= sevenDaysAgo && !tweet.in_reply_to_status_id) .map((tweet: any) => ({ id: tweet.id_str, text: tweet.full_text, created_at: new Date(tweet.tweet_created_at).toLocaleString(), username: tweet.user.screen_name, name: tweet.user.name, profile_image: tweet.user.profile_image_url_https, media: tweet.entities?.media?.[0]?.media_url_https, })); // Remove duplicates based on tweet text const uniqueTweets = Array.from(new Map(processedTweets.map(tweet => [tweet.text, tweet])).values()) .sort((a, b) => new Date(b.created_at).getTime() - new Date(a.created_at).getTime()); const tweetHtml = uniqueTweets.map(tweet => `

`).join("\n"); const tweetIds = uniqueTweets.map(tweet => tweet.id); const html = ` Recent Tweets about Spectacles

Recent Tweets about Spectacles

${tweetHtml}

View source: ${ import.meta.url.replace("esm.town", "val.town") }

`; return new Response(html, { headers: { "Content-Type": "text/html", }, }); }

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