[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_170":171,"_172":173},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":-7,"_18":19,"_17":-7,"_128":-5,"_20":129,"_22":130,"_131":132,"_133":134,"_26":135,"_24":136,"_137":-5,"_138":-5,"_139":57,"_140":141,"_142":54,"_143":-5,"_144":-5,"_145":146},"routes/_app.x.$handle.$name.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":-5,"_29":-5,"_30":-5,"_31":-5,"_32":-5},"handle","mattbmyers","name","maptap","branchName","main","version","path","maptap.ts","project",{"_33":71,"_13":14,"_45":72,"_73":-5,"_74":57,"_75":76,"_77":76,"_78":79,"_80":-5,"_81":82,"_83":38,"_84":54,"_85":-5,"_86":-5,"_87":88,"_89":90,"_91":92,"_93":94,"_95":96,"_97":-5,"_98":99,"_100":99,"_101":102,"_103":102,"_104":102,"_105":99,"_106":99,"_107":108,"_109":110,"_111":112,"_113":57},"tree",[51,52],"file",{"_33":34,"_35":36,"_37":38,"_13":19,"_39":40,"_41":42,"_17":43,"_44":-5,"_45":46,"_47":48,"_49":-5,"_18":50},"contents",[],"upstream","pull","ahead","behind","envVars","id","211417d0-93be-4ff3-9264-a0751ee63907","branchId","831c30bd-e871-44fc-bf1b-03b24fad8e4a","fileId","e7a768c4-b153-11f1-baee-1607ee4eb77e","content","// Val Town HTTP val — name it \"maptap\"\n// Combines the logging endpoint and the leaderboard page into one val so\n// they can share a single val-scoped SQLite database (the current\n// recommended pattern — see https://docs.val.town/reference/std/sqlite).\n//\n// Routes:\n// GET/POST /log?name=Matt&score=87 -> logs a score, returns JSON\n// GET / (anything else) -> public leaderboard page\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst RATE_LIMIT = 20; // max /log requests allowed per window\nconst WINDOW_MS = 60_000; // 1 minute\nconst TIMEZONE = \"America/Denver\"; // Mountain Time; handles MST/MDT automatically\n\nfunction mountainDateString(date: Date): string {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: TIMEZONE,\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n }).format(date); // \"YYYY-MM-DD\"\n}\n\nasync function ensureTables() {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS scores (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL,\n score REAL NOT NULL,\n created_at TEXT NOT NULL,\n is_default INTEGER NOT NULL DEFAULT 0\n )`);\n try {\n // Migration for tables created before is_default existed; no-op if it's already there.\n await sqlite.execute(\n `ALTER TABLE scores ADD COLUMN is_default INTEGER NOT NULL DEFAULT 0`,\n );\n } catch {\n // column already exists\n }\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS rate_limit (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n ts INTEGER NOT NULL\n )`);\n}\n\nconst AUTO_TOOLTIP =\n \"Missed day: backfilled at 80 percent of the lowest real score logged that day\";\nconst AVG_TOOLTIP =\n \"Average of real scores only, backfilled days are not counted\";\n\nfunction escapeHtml(s: string): string {\n return s\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\");\n}\n\nasync function handleLog(req: Request): Promise {\n const now = Date.now();\n\n // Sliding-window rate limit shared by all callers (small trusted friend group).\n await sqlite.execute({\n sql: \"DELETE FROM rate_limit WHERE ts < ?\",\n args: [now - WINDOW_MS],\n });\n const countResult = await sqlite.execute(\n \"SELECT COUNT(*) as count FROM rate_limit\",\n );\n const recentCount = Number(countResult.rows[0].count);\n\n if (recentCount >= RATE_LIMIT) {\n return Response.json(\n { ok: false, error: \"Rate limit exceeded, try again in a minute\" },\n { status: 429 },\n );\n }\n\n await sqlite.execute({\n sql: \"INSERT INTO rate_limit (ts) VALUES (?)\",\n args: [now],\n });\n\n const url = new URL(req.url);\n const name = url.searchParams.get(\"name\")?.trim();\n const scoreRaw = url.searchParams.get(\"score\");\n const score = scoreRaw !== null ? Number(scoreRaw) : NaN;\n\n if (!name || name.length === 0 || !Number.isFinite(score)) {\n return Response.json(\n { ok: false, error: \"Missing or invalid 'name' or 'score' query param\" },\n { status: 400 },\n );\n }\n\n const today = mountainDateString(new Date());\n const existing = await sqlite.execute({\n sql: \"SELECT created_at FROM scores WHERE name = ? AND is_default = 0\",\n args: [name],\n });\n const alreadyLoggedToday = (\n existing.rows as unknown as { created_at: string }[]\n ).some((row) => mountainDateString(new Date(row.created_at)) === today);\n\n if (alreadyLoggedToday) {\n return Response.json(\n { ok: false, error: \"Score already logged for today\" },\n { status: 409 },\n );\n }\n\n await sqlite.execute({\n sql:\n \"INSERT INTO scores (name, score, created_at, is_default) VALUES (?, ?, ?, 0)\",\n args: [name, score, new Date().toISOString()],\n });\n\n return Response.json({ ok: true, name, score });\n}\n\nasync function handleLeaderboard(): Promise {\n const result = await sqlite.execute(\n \"SELECT name, score, created_at, is_default FROM scores ORDER BY created_at DESC\",\n );\n const rows = result.rows as unknown as {\n name: string;\n score: number;\n created_at: string;\n is_default: number;\n }[];\n\n const today = mountainDateString(new Date());\n\n const totals = new Map();\n const gamesPlayed = new Map();\n const realScoreSum = new Map();\n const playedToday = new Set();\n for (const row of rows) {\n totals.set(row.name, (totals.get(row.name) ?? 0) + Number(row.score));\n if (!row.is_default) {\n gamesPlayed.set(row.name, (gamesPlayed.get(row.name) ?? 0) + 1);\n realScoreSum.set(\n row.name,\n (realScoreSum.get(row.name) ?? 0) + Number(row.score),\n );\n if (mountainDateString(new Date(row.created_at)) === today) {\n playedToday.add(row.name);\n }\n }\n }\n const leaderboard = [...totals.entries()]\n .map(([name, total]) => {\n const games = gamesPlayed.get(name) ?? 0;\n const average = games > 0 ? realScoreSum.get(name)! / games : 0;\n return { name, total, average, today: playedToday.has(name) };\n })\n .sort((a, b) => b.total - a.total);\n const recent = rows.slice(0, 25);\n\n const leaderboardRows = leaderboard\n .map(\n (row, i) => `\n \n ${i + 1}\n ${escapeHtml(row.name)}\n ${row.today ? \"✓\" : \"–\"}\n ${row.average.toFixed(1)}\n ${row.total}\n `,\n )\n .join(\"\");\n\n const recentRows = recent\n .map(\n (row) => `\n \n ${new Date(row.created_at).toLocaleDateString()}\n ${escapeHtml(row.name)}${\n row.is_default\n ? ` ^?`\n : \"\"\n }\n ${row.score}\n `,\n )\n .join(\"\");\n\n const html = `\n\n\n\n\nMapTap Leaderboard\n\n\n\n

🗺️ MapTap Leaderboard

Running total score, all-time

\n \n \n ${\n leaderboardRows ||\n ``\n }\n

#	Name	Today	Avg ^?	Total
No scores yet

\n\n

Recent scores

\n \n \n ${\n recentRows || ``\n }\n

Date	Name	Score
No scores yet

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Do not create this\n// as a separate/standalone val, or it won't see the \"scores\" table.\n// Schedule is set from the Val Town dashboard, not here.\n//\n// What it does: for \"yesterday\" (Mountain time), finds anyone who has ever\n// logged a real score but didn't log one yesterday, and backfills them with\n// 80% of yesterday's lowest real score. If NOBODY logged a real score\n// yesterday, there's no \"lowest score\" to base that on, so everyone gets a\n// flat default instead.\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst PENALTY_FACTOR = 0.8;\nconst FLAT_DEFAULT_SCORE = 800; // used only when nobody at all played that day\nconst TIMEZONE = \"America/Denver\"; // Mountain Time; handles MST/MDT automatically\n\nfunction mountainDateString(date: Date): string {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: TIMEZONE,\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n }).format(date); // \"YYYY-MM-DD\"\n}\n\nexport default async function (_interval: Interval) {\n const yesterday = new Date(Date.now() - 24 * 60 * 60 * 1000);\n const targetDate = mountainDateString(yesterday);\n\n const result = await sqlite.execute(\n \"SELECT name, score, created_at, is_default FROM scores\",\n );\n const rows = result.rows as unknown as {\n name: string;\n score: number;\n created_at: string;\n is_default: number;\n }[];\n\n // Everyone who has ever submitted a real (non-backfilled) score.\n const roster = new Set(rows.filter((r) => !r.is_default).map((r) => r.name));\n\n // Real submissions specifically for the target date.\n const targetDayReal = rows.filter(\n (r) =>\n !r.is_default &&\n mountainDateString(new Date(r.created_at)) === targetDate,\n );\n\n const defaultScore = targetDayReal.length > 0\n ? Math.min(...targetDayReal.map((r) => r.score)) * PENALTY_FACTOR\n : FLAT_DEFAULT_SCORE;\n\n // Anyone who already has ANY row (real or previously backfilled) for this\n // date is skipped — makes re-running the job safe (no double-inserts).\n const alreadyHasRowForDate = new Set(\n rows\n .filter((r) => mountainDateString(new Date(r.created_at)) === targetDate)\n .map((r) => r.name),\n );\n\n // Each person's own anchor: the date of their first-ever real submission.\n // Never backfill a date before someone actually started playing.\n const firstPlayDate = new Map();\n for (const r of rows) {\n if (r.is_default) continue;\n const d = mountainDateString(new Date(r.created_at));\n const earliest = firstPlayDate.get(r.name);\n if (!earliest || d < earliest) firstPlayDate.set(r.name, d);\n }\n\n const missing = [...roster].filter((name) => {\n if (alreadyHasRowForDate.has(name)) return false;\n const anchor = firstPlayDate.get(name)!;\n return targetDate >= anchor;\n });\n\n for (const name of missing) {\n await sqlite.execute({\n sql:\n \"INSERT INTO scores (name, score, created_at, is_default) VALUES (?, ?, ?, 1)\",\n args: [name, defaultScore, `${targetDate}T12:00:00.000Z`],\n });\n console.log(`Backfilled ${name} for ${targetDate}: ${defaultScore}`);\n }\n\n if (missing.length === 0) {\n console.log(`No missing players for ${targetDate}.`);\n 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