// This val fetches recent tweets about @SnapAR or Lens Studio, removes duplicates, // and displays them as embedded tweets with preview images on a dark background. // It uses the Twitter API for fetching tweets and the Twitter widget for embedding. export default async function server(request: Request): Promise { const apiUrl = "https://api.twitter.com/2/tweets/search/recent"; const query = encodeURIComponent("@SnapAR OR \"Lens Studio\""); const fullUrl = `${apiUrl}?query=${query}&max_results=100&tweet.fields=created_at,author_id,in_reply_to_user_id&expansions=author_id,attachments.media_keys&media.fields=type,url,preview_image_url&user.fields=username`; const bearerToken = Deno.env.get("twitter"); if (!bearerToken) { return new Response(JSON.stringify({ error: "Twitter API bearer token is not set" }), { status: 500, headers: { "Content-Type": "application/json" }, }); } try { const response = await fetch(fullUrl, { headers: { "Authorization": `Bearer ${bearerToken}` }, }); if (!response.ok) { const errorBody = await response.text(); throw new Error(`HTTP error! status: ${response.status}, body: ${errorBody}`); } const data = await response.json(); if (!data.data || !Array.isArray(data.data)) { throw new Error(`Unexpected API response structure: ${JSON.stringify(data)}`); } const sevenDaysAgo = new Date(); sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7); const processedTweets = data.data .filter((tweet: any) => new Date(tweet.created_at) >= sevenDaysAgo && !tweet.in_reply_to_user_id) .map((tweet: any) => { const user = data.includes.users.find((user: any) => user.id === tweet.author_id); return { id: tweet.id, text: tweet.text, created_at: tweet.created_at, username: user ? user.username : "Unknown", url: `https://twitter.com/${user ? user.username : "twitter"}/status/${tweet.id}`, }; }); // Remove duplicates based on tweet text const uniqueTweets = Array.from(new Map(processedTweets.map(tweet => [tweet.text, tweet])).values()) .sort((a, b) => { const dateA = new Date(a.created_at); const dateB = new Date(b.created_at); return dateB.getTime() - dateA.getTime(); }); const tweetHtml = uniqueTweets.map(tweet => `

`).join("\n"); const tweetIds = uniqueTweets.map(tweet => tweet.id); const html = ` Recent Tweets about @SnapAR or Lens Studio

Recent Tweets about @SnapAR or Lens Studio

${tweetHtml}

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

`; return new Response(html, { headers: { "Content-Type": "text/html", }, }); } catch (error) { console.error("Error fetching tweets:", error.message); let errorMessage = "Failed to fetch tweets"; if (error.message.includes("401")) { errorMessage = "Unauthorized: Please check if the Twitter API bearer token is valid"; } else if (error.message.includes("429")) { errorMessage = "Rate limit exceeded: Too many requests to the Twitter API. Please wait 15 minutes before trying again."; } return new Response(JSON.stringify({ error: errorMessage, details: error.message }), { status: 500, headers: { "Content-Type": "application/json", }, }); } }

charmaine