Harden analytics pages against missing tables and RSC dynamic imports.
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Local Build and Deploy / deploy (push) Successful in 1m1s
Co-authored-by: Cursor <[email protected]>
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@@ -1,99 +1,149 @@
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import { ArrowLeftRight, Coins, TrendingDown, TrendingUp } from "lucide-react";
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import dynamic from "next/dynamic";
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import { redirect } from "next/navigation";
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import { RevenueChart } from "@/components/admin/revenue-chart";
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import { StatsCard } from "@/components/admin/stats-card";
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import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
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import { Skeleton } from "@/components/ui/skeleton";
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import { canAccess, getAdminContext, PERMS } from "@/lib/permissions";
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import { prisma } from "@/lib/prisma";
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const RevenueChart = dynamic(
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() =>
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import("@/components/admin/revenue-chart").then((m) => ({
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default: m.RevenueChart,
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})),
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{ loading: () => <Skeleton className="h-[300px] w-full rounded-xl" /> },
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);
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type EconomyData = {
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totalCredits: number;
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totalPixels: number;
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totalPoints: number;
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shopPurchases: number;
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shopCreditsSpent: number;
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shopPointsSpent: number;
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marketplaceActive: number;
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marketplaceSold: number;
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weekTrades: number;
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revenueData: { label: string; credits: number; points: number }[];
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};
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async function getEconomyData() {
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const EMPTY: EconomyData = {
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totalCredits: 0,
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totalPixels: 0,
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totalPoints: 0,
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shopPurchases: 0,
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shopCreditsSpent: 0,
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shopPointsSpent: 0,
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marketplaceActive: 0,
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marketplaceSold: 0,
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weekTrades: 0,
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revenueData: [],
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};
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async function safeCount(fn: () => Promise<number>): Promise<number> {
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try {
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return await fn();
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} catch {
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return 0;
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}
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}
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async function getEconomyData(): Promise<EconomyData> {
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const now = Math.floor(Date.now() / 1000);
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const todayStart = now - (now % 86400);
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const weekAgo = now - 7 * 86400;
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// Total currency in circulation — parallel instead of sequential
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const [creditsAgg, pixelsAgg, pointsAgg] = await Promise.all([
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prisma.user.aggregate({ _sum: { credits: true } }),
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prisma.user.aggregate({ _sum: { pixels: true } }),
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prisma.user.aggregate({ _sum: { points: true } }),
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]);
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const totalCredits = creditsAgg._sum.credits ?? 0;
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const totalPixels = pixelsAgg._sum.pixels ?? 0;
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const totalPoints = pointsAgg._sum.points ?? 0;
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// Shop revenue (7 days)
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const shopRevenue = await prisma.logsShopPurchases.aggregate({
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where: { timestamp: { gte: weekAgo } },
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_sum: { costCredits: true, costPoints: true },
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_count: true,
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});
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// Marketplace stats
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const marketplaceActive = await prisma.marketplaceItems.count({
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where: { state: 1 },
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});
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const marketplaceSold = await prisma.marketplaceItems.count({
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where: { state: 2, soldTimestamp: { gte: weekAgo } },
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});
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// Revenue chart (7 days) — single GROUP BY query instead of 7 sequential queries
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const rangeStart = todayStart - 6 * 86400;
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const revRows = await prisma.$queryRaw<
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{ day_bucket: bigint; credits: number; points: number }[]
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>`
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SELECT FLOOR(timestamp / 86400) AS day_bucket,
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COALESCE(SUM(cost_credits), 0) AS credits,
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COALESCE(SUM(cost_points), 0) AS points
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FROM logs_shop_purchases
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WHERE timestamp >= ${rangeStart}
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GROUP BY day_bucket ORDER BY day_bucket
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`;
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const revMap = new Map(
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revRows.map((r) => [
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Number(r.day_bucket),
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{ credits: Number(r.credits), points: Number(r.points) },
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]),
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);
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const revenueData = [];
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for (let i = 6; i >= 0; i--) {
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const dayStart = todayStart - i * 86400;
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const bucket = Math.floor(dayStart / 86400);
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const date = new Date(dayStart * 1000);
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const entry = revMap.get(bucket);
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revenueData.push({
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label: date.toLocaleDateString("en", { weekday: "short" }),
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credits: entry?.credits ?? 0,
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points: entry?.points ?? 0,
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});
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try {
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const [creditsAgg, pixelsAgg, pointsAgg] = await Promise.all([
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prisma.user.aggregate({ _sum: { credits: true } }).catch(() => null),
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prisma.user.aggregate({ _sum: { pixels: true } }).catch(() => null),
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prisma.user.aggregate({ _sum: { points: true } }).catch(() => null),
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]);
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const totalCredits = creditsAgg?._sum.credits ?? 0;
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const totalPixels = pixelsAgg?._sum.pixels ?? 0;
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const totalPoints = pointsAgg?._sum.points ?? 0;
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let shopPurchases = 0;
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let shopCreditsSpent = 0;
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let shopPointsSpent = 0;
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try {
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const shopRevenue = await prisma.logsShopPurchases.aggregate({
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where: { timestamp: { gte: weekAgo } },
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_sum: { costCredits: true, costPoints: true },
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_count: true,
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});
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shopPurchases =
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typeof shopRevenue._count === "number" ? shopRevenue._count : 0;
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shopCreditsSpent = shopRevenue._sum?.costCredits ?? 0;
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shopPointsSpent = shopRevenue._sum?.costPoints ?? 0;
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} catch {
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/* shop logs table/columns may be missing */
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}
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const [marketplaceActive, marketplaceSold, weekTrades] = await Promise.all(
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[
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safeCount(() =>
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prisma.marketplaceItems.count({ where: { state: 1 } }),
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),
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safeCount(() =>
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prisma.marketplaceItems.count({
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where: { state: 2, soldTimestamp: { gte: weekAgo } },
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}),
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),
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safeCount(() =>
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prisma.roomTradeLog.count({ where: { timestamp: { gte: weekAgo } } }),
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),
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],
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);
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const revenueData: EconomyData["revenueData"] = [];
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for (let i = 6; i >= 0; i--) {
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const dayStart = todayStart - i * 86400;
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const date = new Date(dayStart * 1000);
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revenueData.push({
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label: date.toLocaleDateString("en", { weekday: "short" }),
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credits: 0,
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points: 0,
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});
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}
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try {
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const revRows = await prisma.$queryRaw<
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{ day_bucket: bigint; credits: number | bigint; points: number | bigint }[]
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>`
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SELECT FLOOR(timestamp / 86400) AS day_bucket,
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COALESCE(SUM(cost_credits), 0) AS credits,
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COALESCE(SUM(cost_points), 0) AS points
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FROM logs_shop_purchases
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WHERE timestamp >= ${rangeStart}
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GROUP BY day_bucket ORDER BY day_bucket
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`;
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const revMap = new Map(
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revRows.map((r) => [
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Number(r.day_bucket),
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{ credits: Number(r.credits), points: Number(r.points) },
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]),
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);
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for (let i = 0; i < revenueData.length; i++) {
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const dayStart = todayStart - (6 - i) * 86400;
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const bucket = Math.floor(dayStart / 86400);
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const entry = revMap.get(bucket);
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if (entry) {
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revenueData[i] = { ...revenueData[i], ...entry };
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}
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}
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} catch {
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/* keep zero revenue series */
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}
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return {
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totalCredits,
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totalPixels,
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totalPoints,
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shopPurchases,
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shopCreditsSpent,
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shopPointsSpent,
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marketplaceActive,
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marketplaceSold,
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weekTrades,
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revenueData,
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};
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} catch {
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return EMPTY;
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}
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// Trades (7 days)
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const weekTrades = await prisma.roomTradeLog.count({
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where: { timestamp: { gte: weekAgo } },
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});
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return {
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totalCredits,
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totalPixels,
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totalPoints,
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shopPurchases:
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typeof shopRevenue._count === "number" ? shopRevenue._count : 0,
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shopCreditsSpent: shopRevenue._sum?.costCredits ?? 0,
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shopPointsSpent: shopRevenue._sum?.costPoints ?? 0,
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marketplaceActive,
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marketplaceSold,
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weekTrades,
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revenueData,
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};
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}
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export default async function EconomyPage() {
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