184 lines
6.2 KiB
TypeScript
184 lines
6.2 KiB
TypeScript
import type { Metadata } from "next"
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import { db } from "@/lib/db/index"
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import { sql } from "drizzle-orm"
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import { DashboardClient } from "@/components/dashboard/dashboard-client"
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export const revalidate = 3600
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export const metadata: Metadata = {
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title: "Dashboard — DeckyVault",
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description:
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"Community dashboard with trending games, best new releases, and most tested games on DeckyVault.",
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keywords: [
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"Steam Deck dashboard",
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"trending games",
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"best new releases",
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"game benchmarks",
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"community insights",
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],
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alternates: { canonical: "https://deckyvault.xyz/dashboard" },
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openGraph: {
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title: "Dashboard — DeckyVault",
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description:
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"Community dashboard with trending games, best new releases, and most tested games.",
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url: "https://deckyvault.xyz/dashboard",
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siteName: "DeckyVault",
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type: "website",
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},
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}
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const SEVEN_DAYS_AGO = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000)
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export default async function DashboardPage() {
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const trending = await db.execute(sql`
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WITH recent_benchmarks AS (
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SELECT gv.game_id, COUNT(*) AS cnt
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FROM performance_entries pe
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JOIN game_versions gv ON pe.version_id = gv.id
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WHERE pe.is_removed = false
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AND pe.created_at >= ${SEVEN_DAYS_AGO}
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GROUP BY gv.game_id
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),
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recent_comments AS (
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SELECT gc.game_id, COUNT(*) AS cnt
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FROM game_comments gc
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WHERE gc.is_removed = false
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AND gc.created_at >= ${SEVEN_DAYS_AGO}
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GROUP BY gc.game_id
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),
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recent_upvotes AS (
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SELECT gv.game_id, SUM(pe.upvotes) AS total_upvotes
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FROM performance_entries pe
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JOIN game_versions gv ON pe.version_id = gv.id
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WHERE pe.is_removed = false
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AND pe.updated_at >= ${SEVEN_DAYS_AGO}
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GROUP BY gv.game_id
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)
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SELECT
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g.id,
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g.title,
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g.capsule_image,
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g.header_image,
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g.playability_status,
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COALESCE(rb.cnt, 0) AS benchmark_count,
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COALESCE(rc.cnt, 0) AS comment_count,
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COALESCE(ru.total_upvotes, 0) AS upvote_count,
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(COALESCE(rb.cnt, 0) * 3 + COALESCE(rc.cnt, 0) * 2 + COALESCE(ru.total_upvotes, 0) * 1) AS activity_score
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FROM games g
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LEFT JOIN recent_benchmarks rb ON rb.game_id = g.id
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LEFT JOIN recent_comments rc ON rc.game_id = g.id
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LEFT JOIN recent_upvotes ru ON ru.game_id = g.id
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WHERE (rb.cnt IS NOT NULL OR rc.cnt IS NOT NULL OR ru.total_upvotes IS NOT NULL)
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ORDER BY activity_score DESC
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LIMIT 10
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`)
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const bestNew = await db.execute(sql`
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SELECT
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g.id,
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g.title,
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g.capsule_image,
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g.header_image,
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g.release_date,
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g.created_at,
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g.playability_status,
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AVG(pe.fps_avg) AS avg_fps,
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COUNT(pe.id) AS benchmark_count
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FROM games g
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JOIN game_versions gv ON gv.game_id = g.id
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JOIN performance_entries pe ON pe.version_id = gv.id
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WHERE pe.is_removed = false
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AND (g.created_at >= ${new Date(Date.now() - 30 * 24 * 60 * 60 * 1000)}
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OR g.release_date IS NOT NULL)
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GROUP BY g.id, g.title, g.capsule_image, g.header_image, g.release_date, g.created_at, g.playability_status
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HAVING COUNT(pe.id) >= 3
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ORDER BY avg_fps DESC
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LIMIT 10
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`)
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const mostTested = await db.execute(sql`
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SELECT
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g.id,
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g.title,
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g.capsule_image,
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g.header_image,
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g.playability_status,
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COUNT(pe.id) AS benchmark_count
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FROM games g
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JOIN game_versions gv ON gv.game_id = g.id
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JOIN performance_entries pe ON pe.version_id = gv.id
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WHERE pe.is_removed = false
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GROUP BY g.id, g.title, g.capsule_image, g.header_image, g.playability_status
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ORDER BY benchmark_count DESC
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LIMIT 10
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`)
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const mostReported = await db.execute(sql`
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SELECT
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g.id,
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g.title,
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g.capsule_image,
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g.header_image,
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COUNT(DISTINCT r.id) AS report_count
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FROM games g
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JOIN game_versions gv ON gv.game_id = g.id
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JOIN performance_entries pe ON pe.version_id = gv.id
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JOIN reports r ON r.entry_id = pe.id
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WHERE r.status = 'open'
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GROUP BY g.id, g.title, g.capsule_image, g.header_image
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ORDER BY report_count DESC
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LIMIT 10
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`)
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// Serialize rows for the client component
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const serializedTrending = trending.rows.map((row: any) => ({
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id: String(row.id),
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title: String(row.title),
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capsule_image: row.capsule_image ? String(row.capsule_image) : null,
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header_image: row.header_image ? String(row.header_image) : null,
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playability_status: row.playability_status ? String(row.playability_status) : null,
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benchmark_count: Number(row.benchmark_count ?? 0),
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comment_count: Number(row.comment_count ?? 0),
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upvote_count: Number(row.upvote_count ?? 0),
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activity_score: Number(row.activity_score ?? 0),
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}))
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const serializedBestNew = bestNew.rows.map((row: any) => ({
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id: String(row.id),
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title: String(row.title),
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capsule_image: row.capsule_image ? String(row.capsule_image) : null,
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header_image: row.header_image ? String(row.header_image) : null,
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release_date: row.release_date ? new Date(row.release_date).toISOString() : null,
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created_at: row.created_at ? new Date(row.created_at).toISOString() : null,
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playability_status: row.playability_status ? String(row.playability_status) : null,
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avg_fps: row.avg_fps ? Number(row.avg_fps) : null,
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benchmark_count: Number(row.benchmark_count ?? 0),
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}))
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const serializedMostTested = mostTested.rows.map((row: any) => ({
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id: String(row.id),
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title: String(row.title),
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capsule_image: row.capsule_image ? String(row.capsule_image) : null,
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header_image: row.header_image ? String(row.header_image) : null,
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playability_status: row.playability_status ? String(row.playability_status) : null,
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benchmark_count: Number(row.benchmark_count ?? 0),
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}))
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const serializedMostReported = mostReported.rows.map((row: any) => ({
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id: String(row.id),
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title: String(row.title),
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capsule_image: row.capsule_image ? String(row.capsule_image) : null,
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header_image: row.header_image ? String(row.header_image) : null,
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report_count: Number(row.report_count ?? 0),
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}))
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return (
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<DashboardClient
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trending={serializedTrending}
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bestNew={serializedBestNew}
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mostTested={serializedMostTested}
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mostReported={serializedMostReported}
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/>
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)
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}
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