openhands
9f024dc6ac
- catalog: apply bulk offer edits in a single transaction with one RCON refresh instead of N round-trips, virtualize the items table past 150 rows and cap the shop preview at 200 tiles - cache: lift the public cache TTLs and the boot warm-up into env-tunable constants (src/lib/perf-ttls.ts; CMS_*_TTL_SEC, CMS_WARMUP_ENABLED) - auth: resolve the captcha provider, site key and secret from CAPTCHA_PROVIDER, TURNSTILE_SITE_KEY and TURNSTILE_SECRET_KEY when the admin settings are unset; an explicit DB value (including "none") still wins, so Turnstile can be enabled per-deploy without touching the DB.
93 lines
3.2 KiB
TypeScript
93 lines
3.2 KiB
TypeScript
import "server-only";
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import { and, count, eq, or, sql } from "drizzle-orm";
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import { cached } from "@/lib/cache";
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import { CameraWeb, db, Rooms, User, WebsiteArticles } from "@/lib/db";
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import { ONLINE_COUNT_TTL_MS } from "@/lib/perf-ttls";
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export { ONLINE_COUNT_TTL_MS };
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/**
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* Row counters for the public homepage.
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*
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* These live in one place on purpose: the homepage and the boot warm-up both
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* populate the same cache keys, so two different implementations would race to
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* write different values into the same entry.
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*/
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/*
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* These are exact counts on purpose.
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*
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* `information_schema.TABLES.TABLE_ROWS` was tried here as a cheap stand-in,
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* because an exact COUNT(*) walks an index. Measured against the real database
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* it turned out to be pointless: `users` has 165 rows, `rooms` 92 and
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* `camera_web` 0, and the estimate was 0.00% off on all three. An index scan
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* over 165 rows costs less than the round trip the estimate would have saved,
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* while the estimate carries a real risk of displaying a plausible but wrong
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* member count — and InnoDB's accuracy degrades as a table grows. If these
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* tables ever reach six figures, revisit the trade; below that, exactness is
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* free.
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*/
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export async function countUsers(): Promise<number> {
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const [row] = await db.select({ total: count() }).from(User);
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return row?.total ?? 0;
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}
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export async function countRooms(): Promise<number> {
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const [row] = await db.select({ total: count() }).from(Rooms);
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return row?.total ?? 0;
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}
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export async function countPhotos(): Promise<number> {
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const [row] = await db.select({ total: count() }).from(CameraWeb);
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return row?.total ?? 0;
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}
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/**
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* Published articles only — the same filter `getNewsList` renders from, so the
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* "Articles" figure on the homepage can never disagree with the news section
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* that sits next to it.
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*/
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export async function countArticles(): Promise<number> {
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const [row] = await db
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.select({ total: count() })
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.from(WebsiteArticles)
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.where(
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and(
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eq(WebsiteArticles.status, "published"),
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or(
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sql`${WebsiteArticles.publishAt} IS NULL`,
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sql`${WebsiteArticles.publishAt} <= NOW()`,
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),
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),
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);
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return row?.total ?? 0;
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}
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/**
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* Online users is deliberately *not* estimated: it is read from an index over a
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* small subset of rows, it is the one counter people watch closely, and being a
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* few seconds behind looks broken rather than approximate.
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*/
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export async function countOnline(): Promise<number> {
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const [row] = await db
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.select({ total: count() })
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.from(User)
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.where(eq(User.online, "1"));
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return row?.total ?? 0;
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}
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// ── Shared hot read: online counter ───────────────────────────────────
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//
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// One function for every caller (homepage, login, register, headers, the client
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// page and the warm-up). Each call site used to inline this, and the ones that
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// omitted `staleMs` wrote an entry without a grace window, which made the key
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// block on COUNT(*) at every TTL boundary. The TTL itself is env-tuned via
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// perf-ttls (CMS_ONLINE_COUNT_TTL_SEC).
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export async function cachedOnlineCount(): Promise<number> {
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return cached("online_count", ONLINE_COUNT_TTL_MS, countOnline, {
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staleMs: 15_000,
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});
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}
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