Tweet Metrics Tracker

\n View Source\n

Track tweets and their engagement metrics over time

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Search Tweets

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Fetch User Tweets

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Tweet Feed

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Loading tweets...

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\n\n \n\n",[],[94,113],"a3e370b0-32e7-11f0-bf83-569c3dd06744","app.js","a3e37164-32e7-11f0-bf83-569c3dd06744",13,["D",1747463091684],"// Tweet Metrics Tracker - Frontend Application\n\n// State management\nconst state = {\n tweets: [],\n currentPage: 0,\n pageSize: 10,\n hasMore: true,\n currentView: 'latest', // 'latest' or 'top'\n metricsChart: null,\n};\n\n// DOM Elements\nconst elements = {\n tweetsList: document.getElementById('tweetsList'),\n loadMoreBtn: document.getElementById('loadMoreBtn'),\n loadMoreContainer: document.getElementById('loadMoreContainer'),\n loadingIndicator: document.getElementById('loadingIndicator'),\n errorMessage: document.getElementById('errorMessage'),\n searchInput: document.getElementById('searchInput'),\n searchButton: document.getElementById('searchButton'),\n usernameInput: document.getElementById('usernameInput'),\n fetchButton: document.getElementById('fetchButton'),\n latestTweetsBtn: document.getElementById('latestTweetsBtn'),\n topTweetsBtn: document.getElementById('topTweetsBtn'),\n metricsModal: document.getElementById('metricsModal'),\n closeModalBtn: document.getElementById('closeModalBtn'),\n tweetContent: document.getElementById('tweetContent'),\n metricsChart: document.getElementById('metricsChart'),\n viewSourceLink: document.getElementById('viewSourceLink'),\n};\n\n// Set view source link\nif (window.__PROJECT_URL__) {\n elements.viewSourceLink.href = window.__PROJECT_URL__;\n}\n\n// API Functions\nasync function fetchTweets(page = 0, pageSize = 10) {\n showLoading();\n try {\n const response = await fetch(`/api/tweets?offset=${page * pageSize}&limit=${pageSize}`);\n if (!response.ok) throw new Error('Failed to fetch tweets');\n const data = await response.json();\n hideLoading();\n return data.data;\n } catch (error) {\n showError(error.message);\n hideLoading();\n return [];\n }\n}\n\nasync function fetchTopTweets(limit = 10) {\n showLoading();\n try {\n const response = await fetch(`/api/top-tweets?limit=${limit}`);\n if (!response.ok) throw new Error('Failed to fetch top tweets');\n const data = await response.json();\n hideLoading();\n return data.data;\n } catch (error) {\n showError(error.message);\n hideLoading();\n return [];\n }\n}\n\nasync function searchTweets(query) {\n showLoading();\n try {\n const response = await fetch(`/api/search?q=${encodeURIComponent(query)}`);\n if (!response.ok) throw new Error('Failed to search tweets');\n const data = await response.json();\n hideLoading();\n return data.data;\n } catch (error) {\n showError(error.message);\n hideLoading();\n return [];\n }\n}\n\nasync function fetchUserTweets(username) {\n showLoading();\n try {\n const response = await fetch(`/api/fetch/${encodeURIComponent(username)}`);\n if (!response.ok) throw new Error('Failed to fetch user tweets');\n const data = await response.json();\n hideLoading();\n return data.data;\n } catch (error) {\n showError(error.message);\n hideLoading();\n return [];\n }\n}\n\nasync function fetchTweetMetrics(tweetId) {\n showLoading();\n try {\n const response = await fetch(`/api/tweets/${tweetId}/metrics`);\n if (!response.ok) throw new Error('Failed to fetch tweet metrics');\n const data = await response.json();\n hideLoading();\n return data.data;\n } catch (error) {\n showError(error.message);\n hideLoading();\n return [];\n }\n}\n\n// UI Functions\nfunction renderTweets(tweets) {\n if (tweets.length === 0) {\n elements.tweetsList.innerHTML = '

No tweets found

';\n elements.loadMoreContainer.classList.add('hidden');\n return;\n }\n\n const tweetsHTML = tweets.map(tweet => createTweetCard(tweet)).join('');\n elements.tweetsList.innerHTML = tweetsHTML;\n \n // Add event listeners to metrics buttons\n document.querySelectorAll('.metrics-btn').forEach(btn => {\n btn.addEventListener('click', () => showMetrics(btn.dataset.tweetId));\n });\n \n // Show load more button if we have tweets\n if (state.hasMore) {\n elements.loadMoreContainer.classList.remove('hidden');\n } else {\n elements.loadMoreContainer.classList.add('hidden');\n }\n}\n\nfunction appendTweets(tweets) {\n if (tweets.length === 0) {\n state.hasMore = false;\n elements.loadMoreContainer.classList.add('hidden');\n return;\n }\n\n const tweetsHTML = tweets.map(tweet => createTweetCard(tweet)).join('');\n elements.tweetsList.innerHTML += tweetsHTML;\n \n // Add event listeners to new metrics buttons\n document.querySelectorAll('.metrics-btn').forEach(btn => {\n if (!btn.hasListener) {\n btn.addEventListener('click', () => showMetrics(btn.dataset.tweetId));\n btn.hasListener = true;\n }\n });\n}\n\nfunction createTweetCard(tweet) {\n const date = new Date(tweet.created_at);\n const formattedDate = date.toLocaleDateString('en-US', { \n year: 'numeric', \n month: 'short', \n day: 'numeric',\n hour: '2-digit',\n minute: '2-digit'\n });\n \n return `\n

\n ${tweet.user.profile_image_url \n ? ` $\"${tweet.user.name}\"$ `\n : `

\n ${tweet.user.name.charAt(0)}\n

`\n }\n

${tweet.user.name}

\n @${tweet.user.username}\n ${formattedDate}\n

${formatTweetText(tweet.text)}

\n ${tweet.retweet_count} Retweets\n

\n ${tweet.like_count} Likes\n

\n ${tweet.reply_count} Replies\n

\n \n

\n `;\n}\n\nfunction formatTweetText(text) {\n // Convert URLs to links\n const urlRegex = /(https?:\\/\\/[^\\s]+)/g;\n text = text.replace(urlRegex, url => `${url}`);\n \n // Convert hashtags\n const hashtagRegex = /#(\\w+)/g;\n text = text.replace(hashtagRegex, (match, hashtag) => \n `#${hashtag}`\n );\n \n // Convert mentions\n const mentionRegex = /@(\\w+)/g;\n text = text.replace(mentionRegex, (match, username) => \n `@${username}`\n );\n \n return text;\n}\n\nasync function showMetrics(tweetId) {\n try {\n // Find the tweet in our state\n const tweet = state.tweets.find(t => t.id === tweetId);\n if (!tweet) {\n throw new Error('Tweet not found');\n }\n \n // Show the tweet content\n elements.tweetContent.innerHTML = `\n

\n ${tweet.user.profile_image_url \n ? ` $\"${tweet.user.name}\"$ `\n : `

\n ${tweet.user.name.charAt(0)}\n

`\n }\n

${tweet.user.name}

\n @${tweet.user.username}\n

${formatTweetText(tweet.text)}

\n `;\n \n // Fetch metrics history\n const metrics = await fetchTweetMetrics(tweetId);\n \n // Show modal\n elements.metricsModal.classList.remove('hidden');\n \n // Create chart\n createMetricsChart(metrics);\n \n } catch (error) {\n showError(error.message);\n }\n}\n\nfunction createMetricsChart(metrics) {\n // Destroy existing chart if it exists\n if (state.metricsChart) {\n state.metricsChart.destroy();\n }\n \n if (!metrics || metrics.length === 0) {\n elements.metricsChart.parentElement.innerHTML = '

No metrics data available

';\n return;\n }\n \n // Sort metrics by date\n metrics.sort((a, b) => new Date(a.recorded_at) - new Date(b.recorded_at));\n \n // Prepare data\n const labels = metrics.map(m => {\n const date = new Date(m.recorded_at);\n return date.toLocaleDateString() + ' ' + date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' });\n });\n \n const retweetData = metrics.map(m => m.retweet_count);\n const likeData = metrics.map(m => m.like_count);\n const replyData = metrics.map(m => m.reply_count);\n const quoteData = metrics.map(m => m.quote_count);\n \n // Create chart\n const ctx = elements.metricsChart.getContext('2d');\n state.metricsChart = new Chart(ctx, {\n type: 'line',\n data: {\n labels: labels,\n datasets: [\n {\n label: 'Retweets',\n data: retweetData,\n borderColor: 'rgb(59, 130, 246)',\n backgroundColor: 'rgba(59, 130, 246, 0.1)',\n tension: 0.1\n },\n {\n label: 'Likes',\n data: likeData,\n borderColor: 'rgb(239, 68, 68)',\n backgroundColor: 'rgba(239, 68, 68, 0.1)',\n tension: 0.1\n },\n {\n label: 'Replies',\n data: replyData,\n borderColor: 'rgb(16, 185, 129)',\n backgroundColor: 'rgba(16, 185, 129, 0.1)',\n tension: 0.1\n },\n {\n label: 'Quotes',\n data: quoteData,\n borderColor: 'rgb(245, 158, 11)',\n backgroundColor: 'rgba(245, 158, 11, 0.1)',\n tension: 0.1\n }\n ]\n },\n options: {\n responsive: true,\n maintainAspectRatio: false,\n plugins: {\n legend: {\n position: 'top',\n },\n tooltip: {\n mode: 'index',\n intersect: false,\n }\n },\n scales: {\n y: {\n beginAtZero: true\n }\n }\n }\n });\n}\n\nfunction showLoading() {\n elements.loadingIndicator.classList.remove('hidden');\n}\n\nfunction hideLoading() {\n elements.loadingIndicator.classList.add('hidden');\n}\n\nfunction showError(message) {\n elements.errorMessage.textContent = message;\n elements.errorMessage.classList.remove('hidden');\n setTimeout(() => {\n elements.errorMessage.classList.add('hidden');\n }, 5000);\n}\n\n// Event Handlers\nasync function loadInitialTweets() {\n state.currentPage = 0;\n state.hasMore = true;\n \n const tweets = await fetchTweets(state.currentPage, state.pageSize);\n state.tweets = tweets;\n renderTweets(tweets);\n \n if (tweets.length < state.pageSize) {\n state.hasMore = false;\n elements.loadMoreContainer.classList.add('hidden');\n }\n}\n\nasync function loadMoreTweets() {\n state.currentPage++;\n const tweets = await fetchTweets(state.currentPage, state.pageSize);\n \n if (tweets.length > 0) {\n state.tweets = [...state.tweets, ...tweets];\n appendTweets(tweets);\n }\n \n if (tweets.length < state.pageSize) {\n state.hasMore = false;\n elements.loadMoreContainer.classList.add('hidden');\n }\n}\n\nasync function loadTopTweets() {\n const tweets = await fetchTopTweets(20);\n state.tweets = tweets;\n renderTweets(tweets);\n elements.loadMoreContainer.classList.add('hidden');\n}\n\nasync function handleSearch() {\n const query = elements.searchInput.value.trim();\n if (!query) return;\n \n const tweets = await searchTweets(query);\n state.tweets = tweets;\n renderTweets(tweets);\n elements.loadMoreContainer.classList.add('hidden');\n}\n\nasync function handleFetchUser() {\n const username = elements.usernameInput.value.trim();\n if (!username) return;\n \n const tweets = await fetchUserTweets(username);\n state.tweets = tweets;\n renderTweets(tweets);\n elements.loadMoreContainer.classList.add('hidden');\n}\n\nfunction closeMetricsModal() {\n elements.metricsModal.classList.add('hidden');\n if (state.metricsChart) {\n state.metricsChart.destroy();\n state.metricsChart = null;\n }\n}\n\nfunction switchToLatestTweets() {\n if (state.currentView === 'latest') return;\n \n state.currentView = 'latest';\n elements.latestTweetsBtn.classList.remove('bg-gray-200', 'text-gray-800');\n elements.latestTweetsBtn.classList.add('bg-blue-500', 'text-white');\n \n elements.topTweetsBtn.classList.remove('bg-blue-500', 'text-white');\n elements.topTweetsBtn.classList.add('bg-gray-200', 'text-gray-800');\n \n loadInitialTweets();\n}\n\nfunction switchToTopTweets() {\n if (state.currentView === 'top') return;\n \n state.currentView = 'top';\n elements.topTweetsBtn.classList.remove('bg-gray-200', 'text-gray-800');\n elements.topTweetsBtn.classList.add('bg-blue-500', 'text-white');\n \n elements.latestTweetsBtn.classList.remove('bg-blue-500', 'text-white');\n elements.latestTweetsBtn.classList.add('bg-gray-200', 'text-gray-800');\n \n loadTopTweets();\n}\n\n// Event Listeners\nelements.loadMoreBtn.addEventListener('click', loadMoreTweets);\nelements.searchButton.addEventListener('click', handleSearch);\nelements.searchInput.addEventListener('keypress', e => {\n if (e.key === 'Enter') handleSearch();\n});\nelements.fetchButton.addEventListener('click', handleFetchUser);\nelements.usernameInput.addEventListener('keypress', e => {\n if (e.key === 'Enter') handleFetchUser();\n});\nelements.closeModalBtn.addEventListener('click', closeMetricsModal);\nelements.metricsModal.addEventListener('click', e => {\n if (e.target === elements.metricsModal) closeMetricsModal();\n});\nelements.latestTweetsBtn.addEventListener('click', switchToLatestTweets);\nelements.topTweetsBtn.addEventListener('click', switchToTopTweets);\n\n// Initialize\nloadInitialTweets();",[],[94,120],"aedbde30-32e7-11f0-ae51-569c3dd06744","aedbdebc-32e7-11f0-ae51-569c3dd06744",16,["D",1747463110089],"# Frontend\n\nThis directory contains the client-side code for the Tweet Metrics Tracker application.\n\n## Structure\n\n- `index.html` - Main HTML template\n- `app.js` - Frontend JavaScript application\n- `style.css` - Custom CSS styles\n\n## Features\n\n- Display tweets in a responsive layout\n- Search tweets by keyword\n- Fetch tweets for specific users\n- View top tweets by engagement\n- View metrics history for individual tweets with charts\n- Pagination for loading more tweets\n\n## Dependencies\n\n- Tailwind CSS for styling\n- Chart.js for metrics visualization",[],[94,60],"396924f0-32e7-11f0-b04c-569c3dd06744","backend","2ad76b0f-eed1-4879-b879-e24417c894bc",2,["D",1747462913044],[141,142,143,144,145,146],[135],{"_35":211,"_13":212,"_38":213,"_40":136,"_42":43,"_44":137,"_46":47,"_48":214,"_17":50,"_51":68,"_53":-5,"_55":56,"_57":-5,"_79":215,"_18":216},{"_35":187,"_13":188,"_38":189,"_40":136,"_42":43,"_44":190,"_46":47,"_48":191,"_17":50,"_51":68,"_53":-5,"_55":56,"_57":-5,"_79":192,"_18":193},{"_35":172,"_13":173,"_38":174,"_40":136,"_42":43,"_44":175,"_46":47,"_48":176,"_17":50,"_51":68,"_53":-5,"_55":56,"_57":-5,"_79":177,"_18":178},{"_35":165,"_13":60,"_38":166,"_40":136,"_42":43,"_44":167,"_46":47,"_48":168,"_17":50,"_51":24,"_53":169,"_55":56,"_57":-5,"_79":170,"_18":171},{"_35":156,"_13":157,"_38":158,"_40":136,"_42":43,"_44":159,"_46":47,"_48":160,"_17":76,"_51":161,"_53":162,"_55":56,"_57":-5,"_79":163,"_18":164},{"_35":147,"_13":148,"_38":149,"_40":136,"_42":43,"_44":150,"_46":47,"_48":151,"_17":76,"_51":152,"_53":153,"_55":56,"_57":-5,"_79":154,"_18":155},"713d720a-32e7-11f0-92c8-569c3dd06744","index.ts","6fbab686-32e7-11f0-b23a-569c3dd06744",10,["D",1747463006703],"http","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { initDatabase } from \"./database/migrations.ts\";\nimport apiRouter from \"./routes/api.ts\";\nimport staticRouter from \"./routes/static.ts\";\n\n// Create main app\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err, c) => {\n console.error(\"Application error:\", err);\n throw err;\n});\n\n// Initialize database on startup\napp.use(\"*\", async (c, next) => {\n try {\n await initDatabase();\n } catch (error) {\n console.error(\"Database initialization error:\", error);\n }\n return next();\n});\n\n// Mount routers\napp.route(\"/api\", apiRouter);\napp.route(\"/\", staticRouter);\n\n// This is the entry point for HTTP vals\nexport default app.fetch;",[],[135,148],"5eadea5c-32e7-11f0-864f-569c3dd06744","cron.ts","5cf8b1ba-32e7-11f0-83e7-569c3dd06744",6,["D",1747462975559],"interval","import { TwitterClient } from \"./services/twitter.ts\";\nimport { initDatabase } from \"./database/migrations.ts\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { TWEETS_TABLE } from \"./database/migrations.ts\";\n\n/**\n * Cron job to fetch and update tweets\n */\nexport default async function() {\n console.log(\"Starting tweet update cron job...\");\n \n try {\n // Initialize database if needed\n await initDatabase();\n \n const twitterClient = new TwitterClient();\n \n // 1. Fetch new tweets from specified accounts\n const accounts = [\"valtown\", \"stevekrouse\", \"twitter\"];\n for (const account of accounts) {\n console.log(`Fetching tweets for ${account}...`);\n await twitterClient.getUserTweets(account, 20);\n }\n \n // 2. Update metrics for existing tweets (most recent 100)\n console.log(\"Updating metrics for existing tweets...\");\n const result = await sqlite.execute(`\n SELECT id FROM ${TWEETS_TABLE}\n ORDER BY created_at DESC\n LIMIT 100\n `);\n \n const tweetIds = result.rows.map(row => row.id as string);\n await twitterClient.updateTweetMetrics(tweetIds);\n \n // 3. Search for trending topics\n const searchTerms = [\"valtown\", \"typescript\", \"javascript\", \"deno\"];\n for (const term of searchTerms) {\n console.log(`Searching tweets for \"${term}\"...`);\n await twitterClient.searchTweets(term, 10);\n }\n \n console.log(\"Tweet update cron job completed successfully\");\n } catch (error) {\n console.error(\"Error in tweet update cron job:\", error);\n }\n}",[],[135,157],"abfcd1c4-32e7-11f0-87b2-569c3dd06744","abfcd296-32e7-11f0-87b2-569c3dd06744",15,["D",1747463105202],"# Backend\n\nThis directory contains the server-side code for the Tweet Metrics Tracker application.\n\n## Structure\n\n- `index.ts` - Main entry point for the HTTP API\n- `cron.ts` - Cron job for periodically fetching and updating tweets\n- `database/` - Database schema and queries\n- `routes/` - API routes and static file serving\n- `services/` - External API integrations (Twitter API)\n\n## API Endpoints\n\n- `GET /api/tweets` - Get tweets with pagination\n- `GET /api/tweets/:id` - Get a single tweet by ID\n- `GET /api/tweets/:id/metrics` - Get metrics history for a tweet\n- `GET /api/top-tweets` - Get top tweets by engagement\n- `GET /api/fetch/:username` - Fetch tweets for a specific user\n- `GET /api/search?q=query` - Search tweets by keyword\n\n## Environment Variables\n\n- `TWITTER_API_KEY` - Twitter API key\n- `TWITTER_API_SECRET` - Twitter API secret\n- `TWITTER_BEARER_TOKEN` - Twitter bearer token",[],[135,60],"57e5352c-32e7-11f0-9358-569c3dd06744","services","310e2602-e1c6-4c75-bbff-22a1d7dad435",4,["D",1747462964187],[179],[135,173],{"_35":180,"_13":181,"_38":182,"_40":174,"_42":43,"_44":175,"_46":47,"_48":183,"_17":50,"_51":52,"_53":184,"_55":56,"_57":-5,"_79":185,"_18":186},"57e4f472-32e7-11f0-9358-569c3dd06744","twitter.ts","57e4f51c-32e7-11f0-9358-569c3dd06744",["D",1747462964187],"import { Tweet, TwitterUser, upsertTweet, upsertUser, recordMetrics } from \"../database/queries.ts\";\n\n// Twitter API v2 endpoints\nconst TWITTER_API_BASE = \"https://api.twitter.com/2\";\n\n/**\n * Twitter API client\n */\nexport class TwitterClient {\n private bearerToken: string;\n\n constructor() {\n const bearerToken = Deno.env.get(\"TWITTER_BEARER_TOKEN\");\n if (!bearerToken) {\n throw new Error(\"TWITTER_BEARER_TOKEN environment variable is not set\");\n }\n this.bearerToken = bearerToken;\n }\n\n /**\n * Make an authenticated request to the Twitter API\n */\n private async request(endpoint: string, params: Record = {}): Promise {\n const url = new URL(`${TWITTER_API_BASE}${endpoint}`);\n \n // Add query parameters\n Object.entries(params).forEach(([key, value]) => {\n url.searchParams.append(key, value);\n });\n\n const response = await fetch(url.toString(), {\n headers: {\n Authorization: `Bearer ${this.bearerToken}`,\n },\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Twitter API error (${response.status}): ${errorText}`);\n }\n\n return response.json();\n }\n\n /**\n * Fetch tweets from a user\n */\n async getUserTweets(username: string, count = 10): Promise {\n // First get the user ID\n const userResponse = await this.request(`/users/by/username/${username}`, {\n \"user.fields\": \"id,username,name,profile_image_url,public_metrics,created_at\",\n });\n\n if (!userResponse.data) {\n throw new Error(`User not found: ${username}`);\n }\n\n const userData = userResponse.data;\n \n // Create user object\n const user: TwitterUser = {\n id: userData.id,\n username: userData.username,\n name: userData.name,\n profile_image_url: userData.profile_image_url,\n followers_count: userData.public_metrics?.followers_count || 0,\n following_count: userData.public_metrics?.following_count || 0,\n created_at: userData.created_at,\n };\n\n // Save user to database\n await upsertUser(user);\n\n // Get user's tweets\n const tweetsResponse = await this.request(`/users/${user.id}/tweets`, {\n max_results: count.toString(),\n \"tweet.fields\": \"id,text,created_at,public_metrics\",\n exclude: \"retweets,replies\",\n });\n\n if (!tweetsResponse.data) {\n return [];\n }\n\n // Process and save tweets\n const tweets: Tweet[] = [];\n for (const tweetData of tweetsResponse.data) {\n const tweet: Tweet = {\n id: tweetData.id,\n user_id: user.id,\n text: tweetData.text,\n created_at: tweetData.created_at,\n retweet_count: tweetData.public_metrics?.retweet_count || 0,\n reply_count: tweetData.public_metrics?.reply_count || 0,\n like_count: tweetData.public_metrics?.like_count || 0,\n quote_count: tweetData.public_metrics?.quote_count || 0,\n };\n\n // Save tweet to database\n await upsertTweet(tweet);\n \n // Record metrics history\n await recordMetrics({\n tweet_id: tweet.id,\n retweet_count: tweet.retweet_count,\n reply_count: tweet.reply_count,\n like_count: tweet.like_count,\n quote_count: tweet.quote_count,\n recorded_at: new Date().toISOString(),\n });\n\n tweets.push(tweet);\n }\n\n return tweets;\n }\n\n /**\n * Search for tweets by keyword\n */\n async searchTweets(query: string, count = 10): Promise {\n const searchResponse = await this.request(`/tweets/search/recent`, {\n query,\n max_results: count.toString(),\n \"tweet.fields\": \"id,text,created_at,public_metrics,author_id\",\n \"user.fields\": \"id,username,name,profile_image_url,public_metrics,created_at\",\n \"expansions\": \"author_id\",\n });\n\n if (!searchResponse.data || searchResponse.data.length === 0) {\n return [];\n }\n\n // Process users\n const users: Record = {};\n if (searchResponse.includes?.users) {\n for (const userData of searchResponse.includes.users) {\n const user: TwitterUser = {\n id: userData.id,\n username: userData.username,\n name: userData.name,\n profile_image_url: userData.profile_image_url,\n followers_count: userData.public_metrics?.followers_count || 0,\n following_count: userData.public_metrics?.following_count || 0,\n created_at: userData.created_at,\n };\n users[user.id] = user;\n await upsertUser(user);\n }\n }\n\n // Process tweets\n const tweets: Tweet[] = [];\n for (const tweetData of searchResponse.data) {\n if (!tweetData.author_id || !users[tweetData.author_id]) {\n continue; // Skip tweets without author info\n }\n\n const tweet: Tweet = {\n id: tweetData.id,\n user_id: tweetData.author_id,\n text: tweetData.text,\n created_at: tweetData.created_at,\n retweet_count: tweetData.public_metrics?.retweet_count || 0,\n reply_count: tweetData.public_metrics?.reply_count || 0,\n like_count: tweetData.public_metrics?.like_count || 0,\n quote_count: tweetData.public_metrics?.quote_count || 0,\n };\n\n // Save tweet to database\n await upsertTweet(tweet);\n \n // Record metrics history\n await recordMetrics({\n tweet_id: tweet.id,\n retweet_count: tweet.retweet_count,\n reply_count: tweet.reply_count,\n like_count: tweet.like_count,\n quote_count: tweet.quote_count,\n recorded_at: new Date().toISOString(),\n });\n\n tweets.push(tweet);\n }\n\n return tweets;\n }\n\n /**\n * Update metrics for existing tweets\n */\n async updateTweetMetrics(tweetIds: string[]): Promise {\n if (tweetIds.length === 0) return;\n \n // Twitter API allows up to 100 tweets per request\n const chunks = [];\n for (let i = 0; i < tweetIds.length; i += 100) {\n chunks.push(tweetIds.slice(i, i + 100));\n }\n \n for (const chunk of chunks) {\n const ids = chunk.join(\",\");\n const response = await this.request(`/tweets`, {\n ids,\n \"tweet.fields\": \"id,public_metrics\",\n });\n \n if (!response.data) continue;\n \n for (const tweetData of response.data) {\n const tweet = {\n id: tweetData.id,\n user_id: \"\", // We'll keep the existing user_id\n text: \"\", // We'll keep the existing text\n created_at: \"\", // We'll keep the existing created_at\n retweet_count: tweetData.public_metrics?.retweet_count || 0,\n reply_count: tweetData.public_metrics?.reply_count || 0,\n like_count: tweetData.public_metrics?.like_count || 0,\n quote_count: tweetData.public_metrics?.quote_count || 0,\n };\n \n // Get existing tweet to preserve fields we don't want to update\n const existingTweet = await getTweet(tweet.id);\n if (existingTweet) {\n tweet.user_id = existingTweet.user_id;\n tweet.text = existingTweet.text;\n tweet.created_at = existingTweet.created_at;\n \n // Update tweet\n await upsertTweet(tweet);\n \n // Record metrics history\n await recordMetrics({\n tweet_id: tweet.id,\n retweet_count: tweet.retweet_count,\n reply_count: tweet.reply_count,\n like_count: tweet.like_count,\n quote_count: tweet.quote_count,\n recorded_at: new Date().toISOString(),\n });\n }\n }\n }\n }\n}\n\n// Helper function to get a tweet by ID\nasync function getTweet(tweetId: string): Promise {\n const result = await sqlite.execute(`\n SELECT * FROM tweets_v1 WHERE id = ?\n `, [tweetId]);\n \n return result.rows.length > 0 ? result.rows[0] as Tweet : null;\n}",[],[135,173,181],"670b0ed2-32e7-11f0-83e7-569c3dd06744","routes","cbff6097-76e6-4d45-8027-83e00a282d9b",7,["D",1747462989599],[194,195],[135,188],{"_35":204,"_13":205,"_38":206,"_40":189,"_42":43,"_44":190,"_46":47,"_48":207,"_17":50,"_51":52,"_53":208,"_55":56,"_57":-5,"_79":209,"_18":210},{"_35":196,"_13":197,"_38":198,"_40":189,"_42":43,"_44":199,"_46":47,"_48":200,"_17":50,"_51":52,"_53":201,"_55":56,"_57":-5,"_79":202,"_18":203},"6bb73c76-32e7-11f0-90dc-569c3dd06744","static.ts","6bb73d20-32e7-11f0-90dc-569c3dd06744",8,["D",1747462997444],"import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\n\n// Create static router\nconst staticRouter = new Hono();\n\n// Serve frontend files\nstaticRouter.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\nstaticRouter.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\n// Serve index.html with initial data\nstaticRouter.get(\"/\", async (c) => {\n try {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Get project info for view source link\n const projectUrl = import.meta.url.replace(\"esm.sh\", \"val.town\");\n \n // Inject data to avoid extra round-trips\n const dataScript = ``;\n \n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n } catch (error) {\n console.error(\"Error serving index.html:\", error);\n return c.text(\"Error loading application\", 500);\n }\n});\n\nexport default staticRouter;",[],[135,188,197],"670ae7b8-32e7-11f0-83e7-569c3dd06744","api.ts","670ae86c-32e7-11f0-83e7-569c3dd06744",["D",1747462989599],"import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { cors } from \"https://esm.sh/hono@3.11.7/middleware\";\nimport { \n getTweets, \n getTopTweets, \n getTweet, \n getTweetMetricsHistory \n} from \"../database/queries.ts\";\nimport { TwitterClient } from \"../services/twitter.ts\";\n\n// Create API router\nconst api = new Hono();\n\n// Enable CORS\napi.use(\"/*\", cors());\n\n// Get tweets with pagination\napi.get(\"/tweets\", async (c) => {\n const limit = parseInt(c.req.query(\"limit\") || \"50\");\n const offset = parseInt(c.req.query(\"offset\") || \"0\");\n \n try {\n const tweets = await getTweets(limit, offset);\n return c.json({ success: true, data: tweets });\n } catch (error) {\n console.error(\"Error fetching tweets:\", error);\n return c.json({ success: false, error: \"Failed to fetch tweets\" }, 500);\n }\n});\n\n// Get a single tweet by ID\napi.get(\"/tweets/:id\", async (c) => {\n const id = c.req.param(\"id\");\n \n try {\n const tweet = await getTweet(id);\n if (!tweet) {\n return c.json({ success: false, error: \"Tweet not found\" }, 404);\n }\n return c.json({ success: true, data: tweet });\n } catch (error) {\n console.error(`Error fetching tweet ${id}:`, error);\n return c.json({ success: false, error: \"Failed to fetch tweet\" }, 500);\n }\n});\n\n// Get metrics history for a tweet\napi.get(\"/tweets/:id/metrics\", async (c) => {\n const id = c.req.param(\"id\");\n \n try {\n const metrics = await getTweetMetricsHistory(id);\n return c.json({ success: true, data: metrics });\n } catch (error) {\n console.error(`Error fetching metrics for tweet ${id}:`, error);\n return c.json({ success: false, error: \"Failed to fetch metrics\" }, 500);\n }\n});\n\n// Get top tweets\napi.get(\"/top-tweets\", async (c) => {\n const limit = parseInt(c.req.query(\"limit\") || \"10\");\n \n try {\n const tweets = await getTopTweets(limit);\n return c.json({ success: true, data: tweets });\n } catch (error) {\n console.error(\"Error fetching top tweets:\", error);\n return c.json({ success: false, error: \"Failed to fetch top tweets\" }, 500);\n }\n});\n\n// Fetch tweets for a specific user\napi.get(\"/fetch/:username\", async (c) => {\n const username = c.req.param(\"username\");\n const count = parseInt(c.req.query(\"count\") || \"10\");\n \n try {\n const twitterClient = new TwitterClient();\n const tweets = await twitterClient.getUserTweets(username, count);\n return c.json({ success: true, data: tweets });\n } catch (error) {\n console.error(`Error fetching tweets for ${username}:`, error);\n return c.json({ success: false, error: \"Failed to fetch tweets\" }, 500);\n }\n});\n\n// Search tweets\napi.get(\"/search\", async (c) => {\n const query = c.req.query(\"q\");\n if (!query) {\n return c.json({ success: false, error: \"Query parameter 'q' is required\" }, 400);\n }\n \n const count = parseInt(c.req.query(\"count\") || \"10\");\n \n try {\n const twitterClient = new TwitterClient();\n const tweets = await twitterClient.searchTweets(query, count);\n return c.json({ success: true, data: tweets });\n } catch (error) {\n console.error(`Error searching tweets for \"${query}\":`, error);\n return c.json({ success: false, error: \"Failed to search tweets\" }, 500);\n }\n});\n\nexport default api;",[],[135,188,205],"396926b2-32e7-11f0-b04c-569c3dd06744","database","fa4bba96-c674-4352-9413-03a1619a5b54",["D",1747462913044],[217,218,219],[135,212],{"_35":235,"_13":60,"_38":236,"_40":213,"_42":43,"_44":237,"_46":47,"_48":238,"_17":50,"_51":24,"_53":239,"_55":56,"_57":-5,"_79":240,"_18":241},{"_35":228,"_13":229,"_38":230,"_40":213,"_42":43,"_44":137,"_46":47,"_48":231,"_17":50,"_51":52,"_53":232,"_55":56,"_57":-5,"_79":233,"_18":234},{"_35":220,"_13":221,"_38":222,"_40":213,"_42":43,"_44":223,"_46":47,"_48":224,"_17":50,"_51":52,"_53":225,"_55":56,"_57":-5,"_79":226,"_18":227},"462ae304-32e7-11f0-8ebf-569c3dd06744","queries.ts","462ae3ae-32e7-11f0-8ebf-569c3dd06744",3,["D",1747462934449],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { TWEETS_TABLE, METRICS_TABLE, USERS_TABLE } from \"./migrations.ts\";\n\n// Types\nexport interface TwitterUser {\n id: string;\n username: string;\n name: string;\n profile_image_url?: string;\n followers_count: number;\n following_count: number;\n created_at: string;\n}\n\nexport interface Tweet {\n id: string;\n user_id: string;\n text: string;\n created_at: string;\n retweet_count: number;\n reply_count: number;\n like_count: number;\n quote_count: number;\n}\n\nexport interface TweetMetrics {\n tweet_id: string;\n retweet_count: number;\n reply_count: number;\n like_count: number;\n quote_count: number;\n recorded_at: string;\n}\n\nexport interface TweetWithUser extends Tweet {\n user: TwitterUser;\n}\n\n// User queries\nexport async function upsertUser(user: TwitterUser): Promise {\n await sqlite.execute(`\n INSERT INTO ${USERS_TABLE} (\n id, username, name, profile_image_url, followers_count, following_count, created_at, last_updated\n ) VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)\n ON CONFLICT(id) DO UPDATE SET\n username = excluded.username,\n name = excluded.name,\n profile_image_url = excluded.profile_image_url,\n followers_count = excluded.followers_count,\n following_count = excluded.following_count,\n last_updated = CURRENT_TIMESTAMP\n `, [\n user.id,\n user.username,\n user.name,\n user.profile_image_url || null,\n user.followers_count,\n user.following_count,\n user.created_at\n ]);\n}\n\nexport async function getUser(userId: string): Promise {\n const result = await sqlite.execute(`\n SELECT * FROM ${USERS_TABLE} WHERE id = ?\n `, [userId]);\n \n return result.rows.length > 0 ? result.rows[0] as TwitterUser : null;\n}\n\n// Tweet queries\nexport async function upsertTweet(tweet: Tweet): Promise {\n await sqlite.execute(`\n INSERT INTO ${TWEETS_TABLE} (\n id, user_id, text, created_at, retweet_count, reply_count, like_count, quote_count, last_updated\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)\n ON CONFLICT(id) DO UPDATE SET\n retweet_count = excluded.retweet_count,\n reply_count = excluded.reply_count,\n like_count = excluded.like_count,\n quote_count = excluded.quote_count,\n last_updated = CURRENT_TIMESTAMP\n `, [\n tweet.id,\n tweet.user_id,\n tweet.text,\n tweet.created_at,\n tweet.retweet_count,\n tweet.reply_count,\n tweet.like_count,\n tweet.quote_count\n ]);\n}\n\nexport async function getTweet(tweetId: string): Promise {\n const result = await sqlite.execute(`\n SELECT * FROM ${TWEETS_TABLE} WHERE id = ?\n `, [tweetId]);\n \n return result.rows.length > 0 ? result.rows[0] as Tweet : null;\n}\n\nexport async function getTweets(limit = 50, offset = 0): Promise {\n const result = await sqlite.execute(`\n SELECT \n t.*,\n u.id as user_id,\n u.username,\n u.name,\n u.profile_image_url,\n u.followers_count,\n u.following_count,\n u.created_at as user_created_at\n FROM ${TWEETS_TABLE} t\n JOIN ${USERS_TABLE} u ON t.user_id = u.id\n ORDER BY t.created_at DESC\n LIMIT ? OFFSET ?\n `, [limit, offset]);\n \n return result.rows.map(row => {\n const tweet = {\n id: row.id,\n user_id: row.user_id,\n text: row.text,\n created_at: row.created_at,\n retweet_count: row.retweet_count,\n reply_count: row.reply_count,\n like_count: row.like_count,\n quote_count: row.quote_count,\n user: {\n id: row.user_id,\n username: row.username,\n name: row.name,\n profile_image_url: row.profile_image_url,\n followers_count: row.followers_count,\n following_count: row.following_count,\n created_at: row.user_created_at\n }\n } as TweetWithUser;\n return tweet;\n });\n}\n\n// Metrics queries\nexport async function recordMetrics(metrics: TweetMetrics): Promise {\n await sqlite.execute(`\n INSERT INTO ${METRICS_TABLE} (\n tweet_id, retweet_count, reply_count, like_count, quote_count\n ) VALUES (?, ?, ?, ?, ?)\n `, [\n metrics.tweet_id,\n metrics.retweet_count,\n metrics.reply_count,\n metrics.like_count,\n metrics.quote_count\n ]);\n}\n\nexport async function getTweetMetricsHistory(tweetId: string): Promise {\n const result = await sqlite.execute(`\n SELECT * FROM ${METRICS_TABLE}\n WHERE tweet_id = ?\n ORDER BY recorded_at ASC\n `, [tweetId]);\n \n return result.rows as TweetMetrics[];\n}\n\nexport async function getTopTweets(limit = 10): Promise {\n const result = await sqlite.execute(`\n SELECT \n t.*,\n u.id as user_id,\n u.username,\n u.name,\n u.profile_image_url,\n u.followers_count,\n u.following_count,\n u.created_at as user_created_at\n FROM ${TWEETS_TABLE} t\n JOIN ${USERS_TABLE} u ON t.user_id = u.id\n ORDER BY (t.retweet_count + t.like_count + t.quote_count) DESC\n LIMIT ?\n `, [limit]);\n \n return result.rows.map(row => {\n const tweet = {\n id: row.id,\n user_id: row.user_id,\n text: row.text,\n created_at: row.created_at,\n retweet_count: row.retweet_count,\n reply_count: row.reply_count,\n like_count: row.like_count,\n quote_count: row.quote_count,\n user: {\n id: row.user_id,\n username: row.username,\n name: row.name,\n profile_image_url: row.profile_image_url,\n followers_count: row.followers_count,\n following_count: row.following_count,\n created_at: row.user_created_at\n }\n } as TweetWithUser;\n return tweet;\n });\n}",[],[135,212,221],"39691dac-32e7-11f0-b04c-569c3dd06744","migrations.ts","39691e60-32e7-11f0-b04c-569c3dd06744",["D",1747462913044],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\n// Table names - use versioning for schema changes\nexport const TWEETS_TABLE = \"tweets_v1\";\nexport const METRICS_TABLE = \"metrics_v1\";\nexport const USERS_TABLE = \"twitter_users_v1\";\n\n/**\n * Initialize database tables\n */\nexport async function initDatabase() {\n // Create users table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${USERS_TABLE} (\n id TEXT PRIMARY KEY,\n username TEXT NOT NULL,\n name TEXT NOT NULL,\n profile_image_url TEXT,\n followers_count INTEGER,\n following_count INTEGER,\n created_at TIMESTAMP,\n last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n // Create tweets table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${TWEETS_TABLE} (\n id TEXT PRIMARY KEY,\n user_id TEXT NOT NULL,\n text TEXT NOT NULL,\n created_at TIMESTAMP,\n retweet_count INTEGER DEFAULT 0,\n reply_count INTEGER DEFAULT 0,\n like_count INTEGER DEFAULT 0,\n quote_count INTEGER DEFAULT 0,\n last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (user_id) REFERENCES ${USERS_TABLE}(id)\n )\n `);\n\n // Create metrics table for storing historical metrics\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${METRICS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n tweet_id TEXT NOT NULL,\n retweet_count INTEGER DEFAULT 0,\n reply_count INTEGER DEFAULT 0,\n like_count INTEGER DEFAULT 0,\n quote_count INTEGER DEFAULT 0,\n recorded_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY (tweet_id) REFERENCES ${TWEETS_TABLE}(id)\n )\n `);\n\n console.log(\"Database initialized successfully\");\n}",[],[135,212,229],"b24e249c-32e7-11f0-be83-569c3dd06744","b24e2578-32e7-11f0-be83-569c3dd06744",17,["D",1747463115871],"# Database\n\nThis directory contains the database schema and query functions for the Tweet Metrics Tracker application.\n\n## Files\n\n- `migrations.ts` - Database schema definitions and initialization\n- `queries.ts` - Database query functions\n\n## Tables\n\n- `twitter_users_v1` - Stores Twitter user information\n- `tweets_v1` - Stores tweets\n- `metrics_v1` - Stores historical metrics for tweets\n\n## Schema Versioning\n\nWhen modifying the database schema, create new tables with incremented version numbers (e.g., `tweets_v2`) rather than altering existing 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${tweet.user.name}

${tweet.user.name}