170 lines
6.2 KiB
JavaScript
170 lines
6.2 KiB
JavaScript
/**
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* Roster game-log loader (Session 23).
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*
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* Streaks and hot lists both need "every player's recent game log" — but
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* VYNDR caches logs per-player on demand (`gamelogs:{sport}:{player}:{n}`)
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* as the grading flow touches them. There's no roster-wide pull, and we
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* will NOT add API calls to build one (free/cheap-only session).
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*
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* So we read what's ALREADY cached, in priority order:
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* 1. A precomputed roster blob `rosterlogs:{sport}` if a prefetch wrote
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* one (fast path — a single read).
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* 2. The per-player `gamelogs:{sport}:*` keys (NBA/WNBA: written by
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* gameLogService during grading, with real multi-game logs).
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* 3. (Session 25) The Tank01 box-score cache `tank01:{sport}:boxscore:*`
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* that the prefetch writes. Each key is ONE game; we aggregate by
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* player across games into the same roster shape. This closes the
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* key-alignment gap Session 25 traced: the prefetch wrote box scores
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* under a key rosterLogs never read, so MLB streaks were always empty.
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*
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* Streaks need 2+ games to surface (MIN_STREAK), so a single cached game
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* day yields no streak — correct, not a bug. Coverage grows as box scores
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* accumulate across prefetch runs.
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*
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* Everything here is Redis-only (free) and defensive — any failure yields
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* an empty roster, never a throw. An empty roster is a valid state: the
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* streaks/hot-list panels simply render nothing while other layers carry
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* the slate.
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*/
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const { cacheGet, getRedisClient, isDegraded } = require('../utils/redis');
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const SCAN_COUNT = 200;
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const MAX_KEYS = 600; // safety cap so a huge cache can't stall a request
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/**
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* Parse a player display name out of a gamelogs key.
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* Key shape: `gamelogs:{sport}:{playerName}:{count}` — playerName may
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* itself contain colons in theory, so split off the known head/tail.
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*/
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function playerFromKey(key, sport) {
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const prefix = `gamelogs:${sport}:`;
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if (!key.startsWith(prefix)) return null;
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const rest = key.slice(prefix.length);
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const lastColon = rest.lastIndexOf(':');
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if (lastColon === -1) return rest;
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return rest.slice(0, lastColon);
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}
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async function scanKeys(match) {
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if (isDegraded && isDegraded()) return [];
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const redis = getRedisClient();
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if (!redis || typeof redis.scan !== 'function') return [];
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const keys = [];
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let cursor = '0';
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try {
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do {
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const [next, batch] = await redis.scan(cursor, 'MATCH', match, 'COUNT', SCAN_COUNT);
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cursor = next;
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for (const k of batch) {
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if (!keys.includes(k)) keys.push(k);
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if (keys.length >= MAX_KEYS) return keys;
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}
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} while (cursor !== '0');
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} catch (err) {
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console.warn('[rosterLogs] scan failed:', err.message);
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return keys;
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}
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return keys;
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}
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function scanGameLogKeys(sport) {
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return scanKeys(`gamelogs:${sport}:*`);
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}
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// Session 25 — box-score-cache aggregation (the prefetch-alignment bridge).
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// Extract the YYYYMMDD date from a `tank01:{sport}:boxscore:{gameId}` key,
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// where gameId is `YYYYMMDD_AWAY@HOME`. Used to order games most-recent-first
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// (streaksService counts the streak from games[0] backward).
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function boxScoreKeyDate(key) {
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const m = String(key || '').match(/boxscore:(\d{8})/);
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return m ? m[1] : '0';
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}
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// Project one cached box-score row into a stat row the streaks/hot-list
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// engines can read. NBA rows already carry pts/reb/ast/etc. at the top
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// level; MLB rows keep stats under `_raw`, so we flatten that up.
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function projectBoxRow(sport, row) {
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if (!row || typeof row !== 'object') return null;
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if (sport === 'mlb') {
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const raw = row._raw && typeof row._raw === 'object' ? row._raw : {};
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return { ...raw, team: row.team, playerId: row.playerId, _final: row._final };
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}
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// nba / wnba — already flat.
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return row;
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}
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/**
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* Aggregate cached Tank01 box scores into [{ name, playerId, team, games }].
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* One box-score key = one game; a player appearing across N cached games
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* accumulates an N-length log. Games are ordered most-recent-first by the
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* date embedded in the key.
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*/
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async function aggregateBoxScores(sport) {
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const keys = await scanKeys(`tank01:${sport}:boxscore:*`);
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if (keys.length === 0) return [];
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// Most-recent game first.
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keys.sort((a, b) => boxScoreKeyDate(b).localeCompare(boxScoreKeyDate(a)));
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const byPlayer = new Map();
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for (const k of keys) {
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const box = await cacheGet(k);
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if (!Array.isArray(box)) continue;
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for (const row of box) {
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const name = row?.name;
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if (!name) continue;
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const stat = projectBoxRow(sport, row);
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if (!stat) continue;
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if (!byPlayer.has(name)) {
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byPlayer.set(name, { name, playerId: row.playerId ?? null, team: row.team ?? null, games: [] });
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}
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byPlayer.get(name).games.push(stat);
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}
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}
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return Array.from(byPlayer.values());
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}
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/**
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* Returns [{ name, playerId, team, games }] for a sport. Dedupes players
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* (the highest game-count key wins) so one player isn't double-counted
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* across `:10` / `:20` cache variants.
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*/
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async function loadRosterLogs(sport) {
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const key = String(sport || '').toLowerCase();
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if (!key) return [];
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// Fast path — a prefetched roster blob.
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const blob = await cacheGet(`rosterlogs:${key}`);
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if (Array.isArray(blob) && blob.length > 0) return blob;
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// Per-player game-log keys (NBA/WNBA grading flow writes these).
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const keys = await scanGameLogKeys(key);
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const byPlayer = new Map();
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for (const k of keys) {
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const name = playerFromKey(k, key);
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if (!name) continue;
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const games = await cacheGet(k);
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if (!Array.isArray(games) || games.length === 0) continue;
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const existing = byPlayer.get(name);
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if (!existing || games.length > existing.games.length) {
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const playerId = games[0]?.playerId ?? games[0]?.player_id ?? null;
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const team = games[0]?.team ?? games[0]?.teamAbv ?? null;
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byPlayer.set(name, { name, playerId, team, games });
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}
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}
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if (byPlayer.size > 0) return Array.from(byPlayer.values());
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// Session 25 — fall back to the Tank01 box-score cache the prefetch
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// writes. Closes the key-alignment gap that left MLB streaks empty.
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return aggregateBoxScores(key);
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}
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module.exports = {
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loadRosterLogs,
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__internals: {
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playerFromKey, scanGameLogKeys, scanKeys,
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boxScoreKeyDate, projectBoxRow, aggregateBoxScores,
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},
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};
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