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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}",[],[171],{"_102":179,"_95":180,"_151":181,"_153":-5,"_154":136,"_155":182,"_157":158,"_104":183,"_99":184,"_160":185,"_162":186,"_164":22,"_165":-5,"_166":187,"_98":188},"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",[],[180],{"_102":190,"_95":191,"_151":192,"_153":-5,"_154":136,"_155":135,"_157":158,"_104":193,"_99":194,"_160":195,"_162":196,"_164":22,"_165":-5,"_166":197,"_98":198},"3e09cc10-baed-11f0-90b1-42dde27851f2","main.http.ts","7a77153c-baba-11f0-8a7c-0224a6c84d84",["D",1762418855920],19,"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\thandle: string;\n\tdisplayName?: string;\n\tavatar?: string;\n}\n\ninterface CachedData {\n\tfollowers: FollowerInfo[];\n\tfollows: 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([\"pfrazee.com\", \"jcsalterego.bsky.social\"]);\n\nasync function initCacheTable() {\n\tawait 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\tawait sqlite.execute(`\n CREATE TABLE IF NOT EXISTS blacklist (\n handle TEXT PRIMARY KEY,\n addedAt INTEGER,\n source TEXT\n )\n `);\n\n\tawait 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\tconst jsonStr = JSON.stringify(data);\n\tconst compressed = pako.gzip(jsonStr);\n\n\t// Process in chunks to avoid stack overflow with large arrays\n\tconst CHUNK_SIZE = 8192;\n\tlet binary = \"\";\n\tfor (let i = 0; i < compressed.length; i += CHUNK_SIZE) {\n\t\tconst chunk = compressed.subarray(\n\t\t\ti,\n\t\t\tMath.min(i + CHUNK_SIZE, compressed.length),\n\t\t);\n\t\tbinary += String.fromCharCode(...chunk);\n\t}\n\n\treturn btoa(binary);\n}\n\nfunction decompressData(compressed: string): CachedData {\n\tconst binaryStr = atob(compressed);\n\tconst bytes = new Uint8Array(binaryStr.length);\n\tfor (let i = 0; i < binaryStr.length; i++) {\n\t\tbytes[i] = binaryStr.charCodeAt(i);\n\t}\n\tconst decompressed = pako.ungzip(bytes, { to: \"string\" });\n\treturn JSON.parse(decompressed);\n}\nasync function isBlacklisted(handle: string): Promise {\n\tif (WHITELIST.has(handle)) {\n\t\treturn false;\n\t}\n\n\tif (handle === \"bsky.app\" || handle.includes(\":\")) {\n\t\treturn true;\n\t}\n\n\tconst result = await sqlite.execute({\n\t\tsql: `SELECT handle FROM blacklist WHERE handle = ?`,\n\t\targs: [handle],\n\t});\n\n\treturn result.rows.length > 0;\n}\n\nasync function shouldSyncBlacklist(): Promise {\n\tconst result = await sqlite.execute({\n\t\tsql: `SELECT lastSynced FROM sync_log WHERE syncType = 'top500'`,\n\t\targs: [],\n\t});\n\n\tif (result.rows.length === 0) {\n\t\treturn true;\n\t}\n\n\tconst lastSynced = result.rows[0][0] as number;\n\treturn Date.now() - lastSynced > BLACKLIST_SYNC_INTERVAL;\n}\n\nasync function syncTop500Blacklist() {\n\tconsole.log(\"[Blacklist Sync] Starting top500 sync...\");\n\ttry {\n\t\tconst response = await fetch(\"https://vqv.app/top500.json\");\n\t\tconst data = await response.json();\n\n\t\tconst handles = data\n\t\t\t.filter((entry: any) => !entry.is_ad && !WHITELIST.has(entry.handle))\n\t\t\t.map((entry: any) => entry.handle);\n\n\t\tconsole.log(\n\t\t\t`[Blacklist Sync] Found ${handles.length} handles to blacklist`,\n\t\t);\n\n\t\tawait sqlite.execute({\n\t\t\tsql: `DELETE FROM blacklist WHERE source = 'top500'`,\n\t\t\targs: [],\n\t\t});\n\n\t\tfor (const handle of handles) {\n\t\t\tawait sqlite.execute({\n\t\t\t\tsql:\n\t\t\t\t\t`INSERT OR REPLACE INTO blacklist (handle, addedAt, source) VALUES (?, ?, 'top500')`,\n\t\t\t\targs: [handle, Date.now()],\n\t\t\t});\n\t\t}\n\n\t\tawait sqlite.execute({\n\t\t\tsql:\n\t\t\t\t`INSERT OR REPLACE INTO sync_log (syncType, lastSynced) VALUES ('top500', ?)`,\n\t\t\targs: [Date.now()],\n\t\t});\n\n\t\tconsole.log(\"[Blacklist Sync] Completed successfully\");\n\t} catch (error) {\n\t\tconsole.error(\"[Blacklist Sync] Failed:\", error);\n\t\tthrow error;\n\t}\n}\n\nfunction shouldCache(followers: number, follows: number): boolean {\n\treturn followers >= CACHE_THRESHOLD || follows >= CACHE_THRESHOLD;\n}\n\nasync function getCachedData(\n\tactor: string,\n): Promise<{ data: CachedData; hits: number } | null> {\n\tconst result = await sqlite.execute({\n\t\tsql: `SELECT cacheHits, lastCached FROM bsky_cache WHERE handle = ?`,\n\t\targs: [actor],\n\t});\n\n\tif (result.rows.length === 0) {\n\t\treturn null;\n\t}\n\n\tconst [cacheHits, lastCached] = result.rows[0];\n\tconst now = Date.now();\n\n\tif (now - (lastCached as number) > CACHE_TTL) {\n\t\treturn null;\n\t}\n\n\t// Read from blob storage\n\tconst blobKey = `bsky_cache:${actor}`;\n\tconst compressedData = await blob.getJSON(blobKey);\n\n\tif (!compressedData) {\n\t\treturn null;\n\t}\n\n\tawait sqlite.execute({\n\t\tsql: `UPDATE bsky_cache SET cacheHits = cacheHits + 1 WHERE handle = ?`,\n\t\targs: [actor],\n\t});\n\n\treturn {\n\t\tdata: decompressData(compressedData as string),\n\t\thits: (cacheHits as number) + 1,\n\t};\n}\n\nasync function updateCache(actor: string, data: CachedData) {\n\tconst compressed = compressData(data);\n\n\t// Store compressed data in blob storage\n\tconst blobKey = `bsky_cache:${actor}`;\n\tawait blob.setJSON(blobKey, compressed);\n\n\t// Store metadata in SQLite\n\tawait sqlite.execute({\n\t\tsql: `INSERT OR REPLACE INTO bsky_cache (handle, cacheHits, lastCached)\n VALUES (?, COALESCE((SELECT cacheHits FROM bsky_cache WHERE handle = ?), 0), ?)`,\n\t\targs: [actor, actor, Date.now()],\n\t});\n}\n\nfunction secondsSince(ts: number) {\n\treturn (Date.now() - ts) / 1000;\n}\n\nasync function getAllFollows(\n\tactor: string,\n\tlimit?: number,\n): Promise {\n\tlet cursor: string | undefined;\n\tconst allFollowers: FollowerInfo[] = [];\n\tconst start = Date.now();\n\tlet pages = 0;\n\n\tdo {\n\t\tconst response = await agent.getFollows({\n\t\t\tactor: actor,\n\t\t\tcursor: cursor,\n\t\t\tlimit: 100,\n\t\t});\n\t\tpages++;\n\n\t\tfor (const follower of response.data.follows) {\n\t\t\tallFollowers.push({\n\t\t\t\thandle: follower.handle,\n\t\t\t\tdisplayName: follower.displayName,\n\t\t\t\tavatar: follower.avatar,\n\t\t\t});\n\n\t\t\tif (limit && allFollowers.length >= limit) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\tconst elapsed = Math.max(secondsSince(start), 0.001);\n\t\tconst rate = allFollowers.length / elapsed;\n\t\tconsole.log(\n\t\t\t`[${actor} follows] pages=${pages} items=${allFollowers.length} rate=${\n\t\t\t\trate.toFixed(2)\n\t\t\t}/s elapsed=${elapsed.toFixed(2)}s`,\n\t\t);\n\n\t\tcursor = response.data.cursor;\n\n\t\tif (limit && allFollowers.length >= limit) {\n\t\t\tbreak;\n\t\t}\n\t} while (cursor);\n\n\tconst totalElapsed = Math.max(secondsSince(start), 0.001);\n\tconsole.log(\n\t\t`[${actor} follows] done total=${allFollowers.length} pages=${pages} avg=${\n\t\t\t(\n\t\t\t\tallFollowers.length / totalElapsed\n\t\t\t).toFixed(2)\n\t\t}/s time=${totalElapsed.toFixed(2)}s`,\n\t);\n\n\treturn allFollowers;\n}\n\nasync function getAllFollowers(\n\tactor: string,\n\tlimit?: number,\n): Promise {\n\tlet cursor: string | undefined;\n\tconst allFollowers: FollowerInfo[] = [];\n\tconst start = Date.now();\n\tlet pages = 0;\n\n\tdo {\n\t\tconst response = await agent.getFollowers({\n\t\t\tactor: actor,\n\t\t\tcursor: cursor,\n\t\t\tlimit: 100,\n\t\t});\n\t\tpages++;\n\n\t\tfor (const follower of response.data.followers) {\n\t\t\tallFollowers.push({\n\t\t\t\thandle: follower.handle,\n\t\t\t\tdisplayName: follower.displayName,\n\t\t\t\tavatar: follower.avatar,\n\t\t\t});\n\n\t\t\tif (limit && allFollowers.length >= limit) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\tconst elapsed = Math.max(secondsSince(start), 0.001);\n\t\tconst rate = allFollowers.length / elapsed;\n\t\tconsole.log(\n\t\t\t`[${actor} followers] pages=${pages} items=${allFollowers.length} rate=${\n\t\t\t\trate.toFixed(2)\n\t\t\t}/s elapsed=${elapsed.toFixed(2)}s`,\n\t\t);\n\n\t\tcursor = response.data.cursor;\n\n\t\tif (limit && allFollowers.length >= limit) {\n\t\t\tbreak;\n\t\t}\n\t} while (cursor);\n\n\tconst totalElapsed = Math.max(secondsSince(start), 0.001);\n\tconsole.log(\n\t\t`[${actor} followers] done total=${allFollowers.length} pages=${pages} avg=${\n\t\t\t(allFollowers.length / totalElapsed).toFixed(\n\t\t\t\t2,\n\t\t\t)\n\t\t}/s time=${totalElapsed.toFixed(2)}s`,\n\t);\n\n\treturn allFollowers;\n}\n\nasync function fetchBlueskyStats(actor: string, limit?: number) {\n\tconst overallStart = Date.now();\n\tconst [followers, follows] = await Promise.all([\n\t\tgetAllFollowers(actor, limit),\n\t\tgetAllFollows(actor, limit),\n\t]);\n\n\tconst totalSeconds = Math.max((Date.now() - overallStart) / 1000, 0.001);\n\n\tconsole.log(\n\t\t`Summary: followers=${followers.length} follows=${follows.length} time=${\n\t\t\ttotalSeconds.toFixed(2)\n\t\t}s rates: followers=${\n\t\t\t(\n\t\t\t\tfollowers.length / totalSeconds\n\t\t\t).toFixed(2)\n\t\t}/s follows=${(follows.length / totalSeconds).toFixed(2)}/s`,\n\t);\n\n\treturn { followers, follows };\n}\n\nexport default async function (req: Request): Promise {\n\ttry {\n\t\tawait initCacheTable();\n\n\t\tconst url = new URL(req.url);\n\t\tconst actor = url.searchParams.get(\"actor\");\n\n\t\tif (!actor) {\n\t\t\treturn Response.json(\n\t\t\t\t{ error: \"Actor parameter is required\" },\n\t\t\t\t{ status: 400 },\n\t\t\t);\n\t\t}\n\n\t\tif (await shouldSyncBlacklist()) {\n\t\t\tconsole.log(\"[Blacklist] Triggering background sync...\");\n\t\t\tsyncTop500Blacklist().catch((err) =>\n\t\t\t\tconsole.error(\"[Blacklist] Sync failed:\", err)\n\t\t\t);\n\t\t}\n\n\t\tconst profile = await agent.getProfile({ actor });\n\n\t\tconst followersCount = profile.data.followersCount || 0;\n\t\tconst followsCount = profile.data.followsCount || 0;\n\n\t\tconsole.log(\n\t\t\t`[${actor}] Profile: followers=${followersCount} follows=${followsCount}`,\n\t\t);\n\n\t\tif (followsCount > 10000) {\n\t\t\treturn Response.json(\n\t\t\t\t{ error: \"Assumed to be bot for following more than 10k accounts\" },\n\t\t\t\t{ status: 400 },\n\t\t\t);\n\t\t}\n\n\t\tif (!shouldCache(followersCount, followsCount)) {\n\t\t\tconsole.log(\n\t\t\t\t`[${actor}] Below cache threshold - fetching fresh data without caching`,\n\t\t\t);\n\t\t\tconst result = await fetchBlueskyStats(actor);\n\t\t\treturn Response.json({\n\t\t\t\t...result,\n\t\t\t\tfromCache: false,\n\t\t\t\tcached: false,\n\t\t\t});\n\t\t}\n\n\t\tconst cached = await getCachedData(actor);\n\t\tif (cached) {\n\t\t\tconsole.log(`[${actor}] Serving from cache (hits: ${cached.hits})`);\n\t\t\treturn Response.json({\n\t\t\t\t...cached.data,\n\t\t\t\tfromCache: true,\n\t\t\t\tcached: true,\n\t\t\t\tcacheHits: cached.hits,\n\t\t\t});\n\t\t}\n\n\t\tconsole.log(`[${actor}] Cache miss - fetching and caching data`);\n\t\tconst result = await fetchBlueskyStats(actor);\n\n\t\tawait updateCache(actor, result);\n\n\t\treturn Response.json({\n\t\t\t...result,\n\t\t\tfromCache: false,\n\t\t\tcached: true,\n\t\t\tcacheHits: 0,\n\t\t});\n\t} catch (error) {\n\t\tconsole.error(\"Error fetching followers:\", error);\n\t\treturn Response.json(\n\t\t\t{\n\t\t\t\terror: \"Failed to fetch Bluesky stats\",\n\t\t\t\tmessage: error instanceof Error ? error.message : String(error),\n\t\t\t},\n\t\t\t{ status: 500 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