209 lines
7.2 KiB
TypeScript
209 lines
7.2 KiB
TypeScript
import { Elysia } from "elysia"
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import { db } from "@/lib/db/index"
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import { sql } from "drizzle-orm"
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const SEVEN_DAYS_AGO = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000)
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export const dashboardPublicRoutes = new Elysia({ prefix: "/dashboard", detail: { tags: ["Dashboard"] } })
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// ── Trending Games (7-day activity) ────────────────────────────────
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.get(
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"/trending",
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async () => {
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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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return trending.rows
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},
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{ detail: { description: "Trending games based on 7-day benchmark and comment activity." } },
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)
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// ── Best Performing New Releases ─────────────────────────────────
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.get(
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"/best-new-releases",
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async () => {
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const results = 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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return results.rows
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},
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{ detail: { description: "Best performing new releases from the last 30 days with at least 3 benchmarks." } },
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)
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// ── Most Tested Games ─────────────────────────────────────────────
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.get(
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"/most-tested",
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async () => {
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const results = 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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AVG(pe.fps_avg) AS avg_fps
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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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return results.rows
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},
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{ detail: { description: "Games with the most benchmark entries, ordered by count descending." } },
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)
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// ── Recently Added Benchmarks ──────────────────────────────────────
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.get(
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"/recent-benchmarks",
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async () => {
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const results = 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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AVG(pe.fps_avg) AS avg_fps,
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MAX(pe.created_at) AS latest_benchmark_at
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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 MAX(pe.created_at) DESC
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LIMIT 10
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`)
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return results.rows
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},
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{ detail: { description: "Games with the most recently added benchmarks, ordered by latest entry date." } },
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)
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// ── Most Reported Games ────────────────────────────────────────────
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.get(
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"/most-reported",
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async () => {
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const results = 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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return results.rows
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},
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{ detail: { description: "Games with the most open reports against their performance entries." } },
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)
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// ── On Sale & Performing Well ────────────────────────────────────
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.get(
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"/on-sale",
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async () => {
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const results = 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.price_current,
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g.price_initial,
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g.price_currency,
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g.playability_status,
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g.steam_review_score,
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AVG(pe.fps_avg) AS avg_fps,
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MAX(pe.fps_avg) AS best_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 g.source = 'steam'
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AND g.price_current > 0
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AND g.price_initial > 0
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AND g.price_current < g.price_initial
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AND pe.is_removed = false
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AND g.last_sync >= NOW() - INTERVAL '7 days'
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GROUP BY g.id
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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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return results.rows
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},
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) |