import { ArrowLeftRight, Clock, DoorOpen, MessageSquare, TrendingUp, Users } from 'lucide-react' import dynamic from 'next/dynamic' import { redirect } from 'next/navigation' import { StatsCard } from '@/components/admin/stats-card' import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card' import { Skeleton } from '@/components/ui/skeleton' import { canAccess, getAdminContext, PERMS } from '@/lib/permissions' import { prisma } from '@/lib/prisma' const DashboardChart = dynamic( () => import('@/components/admin/dashboard-chart').then((m) => ({ default: m.DashboardChart })), { loading: () => }, ) const PeakHoursHeatmap = dynamic( () => import('@/components/admin/peak-hours-heatmap').then((m) => ({ default: m.PeakHoursHeatmap })), { loading: () => }, ) async function getAnalyticsData() { const now = Math.floor(Date.now() / 1000) const todayStart = now - (now % 86400) const weekAgo = now - 7 * 86400 const monthAgo = now - 30 * 86400 const [ totalUsers, onlineUsers, weekRegistrations, monthRegistrations, totalRooms, activeRooms, weekChatMessages, weekTrades, weekBans, ] = await Promise.all([ prisma.user.count(), prisma.user.count({ where: { online: '1' } }), prisma.user.count({ where: { accountCreated: { gte: weekAgo } } }), prisma.user.count({ where: { accountCreated: { gte: monthAgo } } }), prisma.rooms.count(), prisma.rooms.count({ where: { users: { gt: 0 } } }), prisma.$queryRaw<{ count: bigint }[]>`SELECT COUNT(*) AS count FROM chatlogs_room WHERE timestamp >= ${weekAgo}`, prisma.roomTradeLog.count({ where: { timestamp: { gte: weekAgo } } }), prisma.ban.count({ where: { timestamp: { gte: weekAgo } } }), ]) // Registration chart (30 days) — single GROUP BY query instead of 30 sequential queries const regRows = await prisma.$queryRaw<{ day_bucket: bigint; count: bigint }[]>` SELECT FLOOR(account_created / 86400) AS day_bucket, COUNT(*) AS count FROM users WHERE account_created >= ${monthAgo} GROUP BY day_bucket ORDER BY day_bucket ` const regCountMap = new Map(regRows.map((r) => [Number(r.day_bucket), Number(r.count)])) const registrationChart = [] for (let i = 29; i >= 0; i--) { const dayStart = todayStart - i * 86400 const bucket = Math.floor(dayStart / 86400) const date = new Date(dayStart * 1000) registrationChart.push({ label: date.toLocaleDateString('en', { month: 'short', day: 'numeric' }), value: regCountMap.get(bucket) ?? 0, }) } // Peak hours — single GROUP BY query instead of fetching all user rows const peakRows = await prisma.$queryRaw<{ d: number; h: number; c: bigint }[]>` SELECT ((DAYOFWEEK(FROM_UNIXTIME(last_online)) + 5) % 7) AS d, HOUR(FROM_UNIXTIME(last_online)) AS h, COUNT(*) AS c FROM users WHERE last_online >= ${weekAgo} GROUP BY d, h ` const grid: number[][] = Array.from({ length: 7 }, () => Array(24).fill(0)) let max = 0 for (const r of peakRows) { const count = Number(r.c) grid[r.d][r.h] = count if (count > max) max = count } return { totalUsers, onlineUsers, weekRegistrations, monthRegistrations, totalRooms, activeRooms, weekChatMessages: Array.isArray(weekChatMessages) ? Number(weekChatMessages[0]?.count ?? 0) : 0, weekTrades, weekBans, registrationChart, peakHours: { grid, max }, } } export default async function AnalyticsPage() { const { session, permissions } = await getAdminContext() if (!canAccess(permissions, PERMS.ANALYTICS_VIEW, session.user.rank)) { redirect('/admin') } const data = await getAnalyticsData() return (

Analytics

Hotel performance overview and trends

} /> } /> } /> } />
Chat Activity
{data.weekChatMessages.toLocaleString()}

Messages in the last 7 days

Trades
{data.weekTrades.toLocaleString()}

Trades in the last 7 days

Retention
{data.totalUsers > 0 ? Math.round((data.onlineUsers / data.totalUsers) * 100) : 0}%

Users online / total

) }