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\"$schema\": \"https://raw.githubusercontent.com/denoland/deno/98f62cee78e85bfc47c62ed703777c6bc8794f1c/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": true,\n \"types\": [\"https://www.val.town/types/valtown.d.ts\"],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"include\": [\"deno:/https/esm.town/**/*\"],\n \"rules\": {\n \"exclude\": [\"no-explicit-any\"]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}",[],[177],{"_105":185,"_96":186,"_158":187,"_160":-5,"_161":143,"_162":188,"_164":120,"_107":189,"_101":190,"_166":191,"_168":192,"_170":22,"_171":-5,"_172":193,"_99":194},"ebe6760a-bacd-11f0-9d27-42dde27851f2","estimate_storage.ts","77f1d44c-bacd-11f0-abed-42dde27851f2",27,["D",1762405403722],3,"script","// Estimate storage requirements for top 500 Bluesky accounts\n// Based on actual cached data samples\n\ninterface SampleAccount {\n handle: string;\n totalUsers: number; // followers + following\n sizeBytes: number;\n}\n\ninterface Top500Entry {\n handle: string;\n name: string;\n followers: number;\n following: number;\n is_ad: boolean;\n rank: number | null;\n}\n\ninterface StorageEstimate {\n handle: string;\n followers: number;\n following: number;\n totalUsers: number;\n estimatedMB: number;\n}\n\n// Sample data from actual cached blobs\nconst samples: SampleAccount[] = [\n {\n handle: \"jcsalterego.bsky.social\",\n totalUsers: 55000, // estimated followers + following\n sizeBytes: 10531364, // 10.04 MB\n },\n {\n handle: \"pfrazee.com\",\n totalUsers: 160000, // estimated followers + following (co-creator, popular)\n sizeBytes: 29118963, // 27.77 MB\n },\n {\n handle: \"bmann.ca\",\n totalUsers: 7000, // estimated followers + following\n sizeBytes: 1170626, // 1.12 MB\n },\n];\n\nfunction calculateBytesPerUser(samples: SampleAccount[]): number {\n const totalUsers = samples.reduce((sum, s) => sum + s.totalUsers, 0);\n const totalBytes = samples.reduce((sum, s) => sum + s.sizeBytes, 0);\n return totalBytes / totalUsers;\n}\n\nfunction formatBytes(bytes: number): string {\n const mb = bytes / 1024 / 1024;\n if (mb < 1024) {\n return `${mb.toFixed(2)} MB`;\n }\n return `${(mb / 1024).toFixed(2)} GB`;\n}\n\nfunction formatNumber(num: number): string {\n if (num >= 1000000) {\n return `${(num / 1000000).toFixed(2)}M`;\n }\n if (num >= 1000) {\n return `${(num / 1000).toFixed(1)}K`;\n }\n return num.toString();\n}\n\nexport default async function () {\n console.log(\"=== Bluesky Top 500 Storage Estimation ===\\n\");\n\n // Calculate bytes per user from samples\n const bytesPerUser = calculateBytesPerUser(samples);\n\n console.log(\"Sample data analysis:\");\n for (const sample of samples) {\n console.log(\n ` ${sample.handle}: ${formatNumber(\n sample.totalUsers\n )} users → ${formatBytes(sample.sizeBytes)}`\n );\n }\n console.log(\n `\\nAverage: ${bytesPerUser.toFixed(2)} bytes per user (compressed gzip)\\n`\n );\n\n // Fetch top500 data\n console.log(\"Fetching top500.json...\");\n const response = await fetch(\"https://vqv.app/top500.json\");\n const top500: Top500Entry[] = await response.json();\n\n // Filter out ads and calculate estimates\n const estimates: StorageEstimate[] = top500\n .filter((entry) => !entry.is_ad)\n .map((entry) => {\n const totalUsers = entry.followers + entry.following;\n const estimatedBytes = totalUsers * bytesPerUser;\n return {\n handle: entry.handle,\n followers: entry.followers,\n following: entry.following,\n totalUsers,\n estimatedMB: estimatedBytes / 1024 / 1024,\n };\n });\n\n // Calculate totals and breakdowns\n const totalBytes = estimates.reduce(\n (sum, e) => sum + e.estimatedMB * 1024 * 1024,\n 0\n );\n const totalUsers = estimates.reduce((sum, e) => sum + e.totalUsers, 0);\n\n console.log(`\\nTotal accounts: ${estimates.length}`);\n console.log(\n `Total users (followers + following): ${formatNumber(totalUsers)}`\n );\n console.log(`\\nStorage breakdown by tier:\\n`);\n\n const tiers = [\n { name: \"Top 1-10\", start: 0, end: 10 },\n { name: \"Top 11-20\", start: 10, end: 20 },\n { name: \"Top 21-50\", start: 20, end: 50 },\n { name: \"Top 51-100\", start: 50, end: 100 },\n { name: \"Top 101-500\", start: 100, end: 500 },\n ];\n\n for (const tier of tiers) {\n const tierAccounts = estimates.slice(tier.start, tier.end);\n const tierBytes = tierAccounts.reduce(\n (sum, e) => sum + e.estimatedMB * 1024 * 1024,\n 0\n );\n const avgBytes = tierBytes / tierAccounts.length;\n\n console.log(` ${tier.name}:`);\n console.log(` Total: ${formatBytes(tierBytes)}`);\n console.log(` Average per account: ${formatBytes(avgBytes)}`);\n console.log();\n }\n\n console.log(`Total estimated storage: ${formatBytes(totalBytes)}\\n`);\n\n // Show top 10 largest accounts\n console.log(\"Top 10 largest accounts (estimated):\\n\");\n const sorted = [...estimates].sort((a, b) => b.estimatedMB - a.estimatedMB);\n\n for (let i = 0; i < 10; i++) {\n const account = sorted[i];\n console.log(\n ` ${i + 1}. ${account.handle}: ${formatNumber(\n account.followers\n )} followers + ${formatNumber(\n account.following\n )} following = ${account.estimatedMB.toFixed(0)} MB`\n );\n }\n\n return {\n bytesPerUser,\n totalAccounts: estimates.length,\n totalUsers,\n totalBytes,\n totalGB: totalBytes / 1024 / 1024 / 1024,\n tiers: tiers.map((tier) => {\n const tierAccounts = estimates.slice(tier.start, tier.end);\n const tierBytes = tierAccounts.reduce(\n (sum, e) => sum + e.estimatedMB * 1024 * 1024,\n 0\n );\n return {\n name: tier.name,\n accounts: tierAccounts.length,\n totalMB: tierBytes / 1024 / 1024,\n avgMB: tierBytes / tierAccounts.length / 1024 / 1024,\n };\n }),\n top10: sorted.slice(0, 10),\n };\n}\n",[],[186],{"_105":196,"_96":197,"_158":118,"_160":-5,"_161":143,"_162":198,"_164":22,"_107":199,"_101":200,"_166":201,"_168":202,"_170":22,"_171":-5,"_172":203,"_99":204},"a38afd70-bb3d-11f0-a9ce-42dde27851f2","main.http.ts",35,["D",1762453385957],24,"http","import { AtpAgent } from \"https://esm.sh/@atproto/api\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport ms from \"https://esm.sh/ms@2.1.3\";\nimport pako from \"https://esm.sh/pako@2.1.0\";\n\ninterface FollowerInfo {\n handle: string;\n displayName?: string;\n avatar?: string;\n}\n\ninterface CachedData {\n followers: FollowerInfo[];\n follows: FollowerInfo[];\n}\n\nconst agent = new AtpAgent({ service: \"https://public.api.bsky.app\" });\nconst CACHE_TTL = ms(\"1 day\");\nconst CACHE_THRESHOLD = 5000;\nconst BLACKLIST_SYNC_INTERVAL = ms(\"1 day\");\nconst WHITELIST = new Set();\n\nasync function initCacheTable() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS bsky_cache (\n handle TEXT PRIMARY KEY,\n cacheHits INTEGER DEFAULT 0,\n lastCached INTEGER\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS blacklist (\n handle TEXT PRIMARY KEY,\n addedAt INTEGER,\n source TEXT\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS sync_log (\n syncType TEXT PRIMARY KEY,\n lastSynced INTEGER\n )\n `);\n}\n\nfunction compressData(data: CachedData): string {\n const jsonStr = JSON.stringify(data);\n const compressed = pako.gzip(jsonStr);\n\n // Process in chunks to avoid stack overflow with large arrays\n const CHUNK_SIZE = 8192;\n let binary = \"\";\n for (let i = 0; i < compressed.length; i += CHUNK_SIZE) {\n const chunk = compressed.subarray(\n i,\n Math.min(i + CHUNK_SIZE, compressed.length)\n );\n binary += String.fromCharCode(...chunk);\n }\n\n return btoa(binary);\n}\n\nfunction decompressData(compressed: string): CachedData {\n const binaryStr = atob(compressed);\n const bytes = new Uint8Array(binaryStr.length);\n for (let i = 0; i < binaryStr.length; i++) {\n bytes[i] = binaryStr.charCodeAt(i);\n }\n const decompressed = pako.ungzip(bytes, { to: \"string\" });\n return JSON.parse(decompressed);\n}\nasync function isBlacklisted(handle: string): Promise {\n if (WHITELIST.has(handle)) {\n return false;\n }\n\n if (handle === \"bsky.app\" || handle.includes(\":\")) {\n return true;\n }\n\n const result = await sqlite.execute({\n sql: `SELECT handle FROM blacklist WHERE handle = ?`,\n args: [handle],\n });\n\n return result.rows.length > 0;\n}\n\nasync function shouldSyncBlacklist(): Promise {\n const result = await sqlite.execute({\n sql: `SELECT lastSynced FROM sync_log WHERE syncType = 'top500'`,\n args: [],\n });\n\n if (result.rows.length === 0) {\n return true;\n }\n\n const lastSynced = result.rows[0][0] as number;\n return Date.now() - lastSynced > BLACKLIST_SYNC_INTERVAL;\n}\n\nasync function syncTop500Blacklist() {\n console.log(\"[Blacklist Sync] Starting top500 sync...\");\n try {\n const response = await fetch(\"https://vqv.app/top500.json\");\n const data = await response.json();\n\n const handles = data\n .filter((entry: any) => !entry.is_ad && !WHITELIST.has(entry.handle))\n .map((entry: any) => entry.handle);\n\n console.log(\n `[Blacklist Sync] Found ${handles.length} handles to blacklist`\n );\n\n await sqlite.execute({\n sql: `DELETE FROM blacklist WHERE source = 'top500'`,\n args: [],\n });\n\n for (const handle of handles) {\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO blacklist (handle, addedAt, source) VALUES (?, ?, 'top500')`,\n args: [handle, Date.now()],\n });\n }\n\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO sync_log (syncType, lastSynced) VALUES ('top500', ?)`,\n args: [Date.now()],\n });\n\n console.log(\"[Blacklist Sync] Completed successfully\");\n } catch (error) {\n console.error(\"[Blacklist Sync] Failed:\", error);\n throw error;\n }\n}\n\nfunction shouldCache(followers: number, follows: number): boolean {\n return followers >= CACHE_THRESHOLD || follows >= CACHE_THRESHOLD;\n}\n\nasync function getCachedData(\n actor: string\n): Promise<{ data: CachedData; hits: number } | null> {\n const result = await sqlite.execute({\n sql: `SELECT cacheHits, lastCached FROM bsky_cache WHERE handle = ?`,\n args: [actor],\n });\n\n if (result.rows.length === 0) {\n return null;\n }\n\n const [cacheHits, lastCached] = result.rows[0];\n const now = Date.now();\n\n if (now - (lastCached as number) > CACHE_TTL) {\n return null;\n }\n\n // Read from blob storage\n const blobKey = `bsky_cache:${actor}`;\n const compressedData = await blob.getJSON(blobKey);\n\n if (!compressedData) {\n return null;\n }\n\n await sqlite.execute({\n sql: `UPDATE bsky_cache SET cacheHits = cacheHits + 1 WHERE handle = ?`,\n args: [actor],\n });\n\n return {\n data: decompressData(compressedData as string),\n hits: (cacheHits as number) + 1,\n };\n}\n\nasync function updateCache(actor: string, data: CachedData) {\n const compressed = compressData(data);\n\n // Store compressed data in blob storage\n const blobKey = `bsky_cache:${actor}`;\n await blob.setJSON(blobKey, compressed);\n\n // Store metadata in SQLite\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO bsky_cache (handle, cacheHits, lastCached)\n VALUES (?, COALESCE((SELECT cacheHits FROM bsky_cache WHERE handle = ?), 0), ?)`,\n args: [actor, actor, Date.now()],\n });\n}\n\nfunction secondsSince(ts: number) {\n return (Date.now() - ts) / 1000;\n}\n\nasync function getAllFollows(\n actor: string,\n limit?: number\n): Promise {\n let cursor: string | undefined;\n const allFollowers: FollowerInfo[] = [];\n const start = Date.now();\n let pages = 0;\n\n do {\n const response = await agent.getFollows({\n actor: actor,\n cursor: cursor,\n limit: 100,\n });\n pages++;\n\n for (const follower of response.data.follows) {\n allFollowers.push({\n handle: follower.handle,\n displayName: follower.displayName,\n avatar: follower.avatar,\n });\n\n if (limit && allFollowers.length >= limit) {\n break;\n }\n }\n\n const elapsed = Math.max(secondsSince(start), 0.001);\n const rate = allFollowers.length / elapsed;\n console.log(\n `[${actor} follows] pages=${pages} items=${\n allFollowers.length\n } rate=${rate.toFixed(2)}/s elapsed=${elapsed.toFixed(2)}s`\n );\n\n cursor = response.data.cursor;\n\n if (limit && allFollowers.length >= limit) {\n break;\n }\n } while (cursor);\n\n const totalElapsed = Math.max(secondsSince(start), 0.001);\n console.log(\n `[${actor} follows] done total=${allFollowers.length} pages=${pages} avg=${(\n allFollowers.length / totalElapsed\n ).toFixed(2)}/s time=${totalElapsed.toFixed(2)}s`\n );\n\n return allFollowers;\n}\n\nasync function getAllFollowers(\n actor: string,\n limit?: number\n): Promise {\n let cursor: string | undefined;\n const allFollowers: FollowerInfo[] = [];\n const start = Date.now();\n let pages = 0;\n\n do {\n const response = await agent.getFollowers({\n actor: actor,\n cursor: cursor,\n limit: 100,\n });\n pages++;\n\n for (const follower of response.data.followers) {\n allFollowers.push({\n handle: follower.handle,\n displayName: follower.displayName,\n avatar: follower.avatar,\n });\n\n if (limit && allFollowers.length >= limit) {\n break;\n }\n }\n\n const elapsed = Math.max(secondsSince(start), 0.001);\n const rate = allFollowers.length / elapsed;\n console.log(\n `[${actor} followers] pages=${pages} items=${\n allFollowers.length\n } rate=${rate.toFixed(2)}/s elapsed=${elapsed.toFixed(2)}s`\n );\n\n cursor = response.data.cursor;\n\n if (limit && allFollowers.length >= limit) {\n break;\n }\n } while (cursor);\n\n const totalElapsed = Math.max(secondsSince(start), 0.001);\n console.log(\n `[${actor} followers] done total=${\n allFollowers.length\n } pages=${pages} avg=${(allFollowers.length / totalElapsed).toFixed(\n 2\n )}/s time=${totalElapsed.toFixed(2)}s`\n );\n\n return allFollowers;\n}\n\nasync function fetchBlueskyStats(actor: string, limit?: number) {\n const overallStart = Date.now();\n const [followers, follows] = await Promise.all([\n getAllFollowers(actor, limit),\n getAllFollows(actor, limit),\n ]);\n\n const totalSeconds = Math.max((Date.now() - overallStart) / 1000, 0.001);\n\n console.log(\n `Summary: followers=${followers.length} follows=${\n follows.length\n } time=${totalSeconds.toFixed(2)}s rates: followers=${(\n followers.length / totalSeconds\n ).toFixed(2)}/s follows=${(follows.length / totalSeconds).toFixed(2)}/s`\n );\n\n return { followers, follows };\n}\n\nexport default async function (req: Request): Promise {\n try {\n await initCacheTable();\n\n const url = new URL(req.url);\n const actor = url.searchParams.get(\"actor\");\n\n if (!actor) {\n return Response.json(\n { error: \"Actor parameter is required\" },\n { status: 400 }\n );\n }\n\n if (await shouldSyncBlacklist()) {\n console.log(\"[Blacklist] Triggering background sync...\");\n syncTop500Blacklist().catch((err) =>\n console.error(\"[Blacklist] Sync failed:\", err)\n );\n }\n\n const profile = await agent.getProfile({ actor });\n\n const followersCount = profile.data.followersCount || 0;\n const followsCount = profile.data.followsCount || 0;\n\n console.log(\n `[${actor}] Profile: followers=${followersCount} follows=${followsCount}`\n );\n\n if (await isBlacklisted(actor)) {\n return Response.json(\n {\n error: `${\n profile.data.displayName ?? actor\n } is too popular. The top 500 accounts are allowed when they ask for access.`,\n },\n { status: 403 }\n );\n }\n\n if (followsCount > 10000) {\n return Response.json(\n { error: \"Assumed to be bot for following more than 10k accounts\" },\n { status: 400 }\n );\n }\n\n if (!shouldCache(followersCount, followsCount)) {\n console.log(\n `[${actor}] Below cache threshold - fetching fresh data without caching`\n );\n const result = await fetchBlueskyStats(actor);\n return Response.json({\n ...result,\n fromCache: false,\n cached: false,\n willCache: false,\n });\n }\n\n const cached = await getCachedData(actor);\n if (cached) {\n console.log(`[${actor}] Serving from cache (hits: ${cached.hits})`);\n return Response.json({\n ...cached.data,\n fromCache: true,\n cached: true,\n willCache: true,\n cacheHits: cached.hits,\n });\n }\n\n console.log(`[${actor}] Cache miss - fetching and caching data`);\n const result = await fetchBlueskyStats(actor);\n\n await updateCache(actor, result);\n\n return Response.json({\n ...result,\n fromCache: false,\n cached: true,\n willCache: true,\n cacheHits: 0,\n });\n } catch (error) {\n console.error(\"Error fetching followers:\", error);\n return Response.json(\n {\n error: \"Failed to fetch Bluesky stats\",\n message: error instanceof Error ? error.message : String(error),\n },\n { status: 500 }\n );\n }\n}\n",[],[197],{"_105":206,"_96":100,"_158":207,"_160":-5,"_161":143,"_162":102,"_164":120,"_107":208,"_101":32,"_166":209,"_168":210,"_170":22,"_171":-5,"_172":211,"_99":212},"16147f06-bb3e-11f0-aa4f-42dde27851f2","16147fe2-bb3e-11f0-aa4f-42dde27851f2",["D",1762453578122],"interval","import { ALLOW_LIST } from \"./allow-list.ts\";\n\nconst URL =\n \"https://tylersayshi--7a77153cbaba11f08a7c0224a6c84d84.web.val.run/\";\n\nexport function scheduledHandler() {\n // no need to await, just trigger the loading once a day to load cache\n ALLOW_LIST.forEach((h) => fetch(URL + \"?actor=\" + h));\n}\n",[],[100],"files",[155,175,184,195,205],"counts",{"_217":32,"_218":219,"_220":32,"_221":222},"pulls","branches",1,"forks","envVars",{"_223":32,"_224":32},"count","emptyCount","contents",[],{"_105":206,"_161":143,"_158":207,"_96":100,"_168":210,"_166":209,"_101":32,"_160":-5,"_107":228,"_162":102,"_171":-5,"_99":229},["D",1762453578122],[100],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_94":95,"_96":97,"_98":44,"_101":102,"_99":100,"_103":238,"_153":243,"_213":259,"_167":260,"_225":263,"_264":-5,"_265":-5,"_266":-5,"_267":-5,"_268":269,"_221":-5},{"_105":106,"_96":97,"_107":239,"_109":-5,"_110":22,"_111":112,"_113":114,"_115":-5,"_14":116,"_117":118,"_119":120,"_121":120,"_122":-5,"_123":32,"_16":124,"_125":126,"_127":126,"_128":129,"_130":129,"_131":129,"_132":126,"_133":126,"_23":240,"_137":241,"_140":242,"_152":22},["D",1762397052956],{"_94":95,"_135":136},{"_94":95,"_139":136,"_14":116},{"_101":142,"_96":44,"_105":143,"_144":106,"_145":-5,"_146":-5,"_147":-5,"_148":-5,"_149":-5,"_150":97,"_151":95},[244,247,250,253,256],{"_105":156,"_96":157,"_158":159,"_160":-5,"_161":143,"_162":163,"_164":120,"_107":165,"_101":32,"_166":167,"_168":169,"_170":22,"_171":-5,"_172":245,"_99":246},[],[157],{"_105":176,"_96":177,"_158":178,"_160":-5,"_161":143,"_162":179,"_164":120,"_107":180,"_101":32,"_166":167,"_168":181,"_170":22,"_171":-5,"_172":248,"_99":249},[],[177],{"_105":185,"_96":186,"_158":187,"_160":-5,"_161":143,"_162":188,"_164":120,"_107":189,"_101":190,"_166":191,"_168":192,"_170":22,"_171":-5,"_172":251,"_99":252},[],[186],{"_105":196,"_96":197,"_158":118,"_160":-5,"_161":143,"_162":198,"_164":22,"_107":199,"_101":200,"_166":201,"_168":202,"_170":22,"_171":-5,"_172":254,"_99":255},[],[197],{"_105":206,"_96":100,"_158":207,"_160":-5,"_161":143,"_162":102,"_164":120,"_107":208,"_101":32,"_166":209,"_168":210,"_170":22,"_171":-5,"_172":257,"_99":258},[],[100],[244,247,250,253,256],{"_105":206,"_161":143,"_158":207,"_96":100,"_168":210,"_166":209,"_101":32,"_160":-5,"_107":261,"_162":102,"_171":-5,"_99":262},["D",1762453578122],[100],[],"upstream","pull","ahead","behind","templates",[],"actionData","errors"]