From 3d3690b0b96e1f5380b12a0b4c9858c028f17110 Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Tue, 17 Feb 2026 13:56:12 -0800
Subject: [PATCH 1/7] frontend fixes

---
 frontend/app/components/FpsByCodecChart.tsx   | 45 +++++++++++--------
 .../app/components/GroupedSizeByPreset.tsx    | 30 ++++++++-----
 2 files changed, 46 insertions(+), 29 deletions(-)

diff --git a/frontend/app/components/FpsByCodecChart.tsx b/frontend/app/components/FpsByCodecChart.tsx
index d48325f..7842874 100644
--- a/frontend/app/components/FpsByCodecChart.tsx
+++ b/frontend/app/components/FpsByCodecChart.tsx
@@ -30,15 +30,17 @@ export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }
   const bars = computeAverageFpsByCodec(data);
   if (bars.length === 0) return null;
 
-  const width = 640;
-  const height = 260;
-  const margin = { top: 32, right: 16, bottom: 60, left: 48 };
-  const chartWidth = width - margin.left - margin.right;
+  const height = 280;
+  const margin = { top: 32, right: 16, bottom: 80, left: 48 };
   const chartHeight = height - margin.top - margin.bottom;
   let maxValue = 1;
   for (const b of bars) if (b.value > maxValue) maxValue = b.value;
   const barGap = 8;
-  const barWidth = Math.max(4, (chartWidth - barGap * (bars.length - 1)) / bars.length);
+  const minBarWidth = 40;
+  const neededWidth = bars.length * (minBarWidth + barGap) - barGap;
+  const chartWidth = Math.max(576, neededWidth);
+  const width = chartWidth + margin.left + margin.right;
+  const barWidth = (chartWidth - barGap * (bars.length - 1)) / bars.length;
 
   const xForIndex = (i: number) => margin.left + i * (barWidth + barGap);
   const yForValue = (v: number) => margin.top + chartHeight - (v / maxValue) * chartHeight;
@@ -46,7 +48,8 @@ export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }
   return (
     <div className="card" style={{ padding: 12 }}>
       <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
-      <svg width="100%" viewBox={`0 0 ${width} ${height}`} role="img" aria-label={title}>
+      <div style={{ overflowX: "auto" }}>
+      <svg width="100%" style={{ minWidth: width }} viewBox={`0 0 ${width} ${height}`} role="img" aria-label={title}>
         {/* Y axis grid lines */}
         {Array.from({ length: 5 }).map((_, i) => {
           const y = margin.top + (i * chartHeight) / 4;
@@ -64,18 +67,23 @@ export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }
         })}
 
         {/* X axis labels */}
-        {bars.map((b, i) => (
-          <text
-            key={b.label}
-            x={xForIndex(i) + barWidth / 2}
-            y={height - margin.bottom + 36}
-            textAnchor="middle"
-            fontSize={12}
-            fill="var(--foreground)"
-          >
-            {b.label}
-          </text>
-        ))}
+        {bars.map((b, i) => {
+          const cx = xForIndex(i) + barWidth / 2;
+          const cy = height - margin.bottom + 16;
+          return (
+            <text
+              key={b.label}
+              x={cx}
+              y={cy}
+              textAnchor="end"
+              fontSize={12}
+              fill="var(--foreground)"
+              transform={`rotate(-40, ${cx}, ${cy})`}
+            >
+              {b.label}
+            </text>
+          );
+        })}
 
         {/* Y axis ticks */}
         {Array.from({ length: 5 }).map((_, i) => {
@@ -93,6 +101,7 @@ export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }
           FPS
         </text>
       </svg>
+      </div>
     </div>
   );
 }
diff --git a/frontend/app/components/GroupedSizeByPreset.tsx b/frontend/app/components/GroupedSizeByPreset.tsx
index 7ce5d07..f70d88a 100644
--- a/frontend/app/components/GroupedSizeByPreset.tsx
+++ b/frontend/app/components/GroupedSizeByPreset.tsx
@@ -43,15 +43,20 @@ export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
     return m;
   }, [groups]);
 
-  const width = 720;
-  const height = 320;
-  const margin = { top: 24, right: 16, bottom: 64, left: 56 };
-  const chartWidth = width - margin.left - margin.right;
+  const height = 340;
+  const margin = { top: 24, right: 16, bottom: 84, left: 56 };
   const chartHeight = height - margin.top - margin.bottom;
-  const groupGap = 18;
-  const barGap = 6;
-  const barWidth = Math.max(4, (chartWidth - groupGap * (presets.length - 1)) / presets.length / Math.max(1, codecs.length) - barGap);
-  const xStartForGroup = (i: number) => margin.left + i * ((barWidth + barGap) * codecs.length + groupGap);
+  const groupGap = 24;
+  const barGap = 4;
+  const minBarWidth = 24;
+  const barsPerGroup = Math.max(1, codecs.length);
+  const neededGroupWidth = barsPerGroup * minBarWidth + (barsPerGroup - 1) * barGap;
+  const neededChartWidth = presets.length * neededGroupWidth + (presets.length - 1) * groupGap;
+  const chartWidth = Math.max(648, neededChartWidth);
+  const width = chartWidth + margin.left + margin.right;
+  const groupWidth = (chartWidth - (presets.length - 1) * groupGap) / Math.max(1, presets.length);
+  const barWidth = (groupWidth - (barsPerGroup - 1) * barGap) / barsPerGroup;
+  const xStartForGroup = (i: number) => margin.left + i * (groupWidth + groupGap);
 
   let maxValue = 1;
   for (const g of groups) if (g.avgMB > maxValue) maxValue = g.avgMB;
@@ -70,7 +75,8 @@ export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
   return (
     <div className={`card ${styles.chartCard}`} style={{ position: "relative" }}>
       <div className={styles.chartTitle}>Average File Size by Preset and Codec</div>
-      <svg ref={svgRef} width="100%" viewBox={`0 0 ${width} ${height}`} role="img" aria-label="Grouped size by preset and codec" onMouseLeave={() => setHover(null)}>
+      <div style={{ overflowX: "auto" }}>
+      <svg ref={svgRef} width="100%" style={{ minWidth: width }} viewBox={`0 0 ${width} ${height}`} role="img" aria-label="Grouped size by preset and codec" onMouseLeave={() => setHover(null)}>
         {/* Grid */}
         {Array.from({ length: 4 }).map((_, i) => {
           const y = margin.top + (i * chartHeight) / 3;
@@ -105,9 +111,10 @@ export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
 
         {/* X axis labels */}
         {presets.map((p, pi) => {
-          const x = xStartForGroup(pi) + ((barWidth + barGap) * codecs.length - barGap) / 2;
+          const cx = xStartForGroup(pi) + groupWidth / 2;
+          const cy = height - margin.bottom + 16;
           return (
-            <text key={p} x={x} y={height - margin.bottom + 40} textAnchor="middle" fontSize={12} fill="var(--foreground)">
+            <text key={p} x={cx} y={cy} textAnchor="end" fontSize={12} fill="var(--foreground)" transform={`rotate(-40, ${cx}, ${cy})`}>
               {p}
             </text>
           );
@@ -125,6 +132,7 @@ export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
           );
         })}
       </svg>
+      </div>
       {hover && (
         <div className="tooltip" style={{ left: hover.x, top: hover.y }}>
           {hover.text}

From 72bcf23d22b272b0cf88d2a571f2f964e1318b70 Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Wed, 18 Feb 2026 21:17:24 -0800
Subject: [PATCH 2/7] Massive changes. Preparing for v1.1.0

---
 .gitignore                                    |    7 +-
 client/config.py                              |   15 +-
 client/encoders.py                            |   86 +-
 client/ffmpeg.py                              |  496 +-
 client/hardware_monitor.py                    |  478 ++
 client/main.py                                |  683 ++-
 client/network.py                             |    8 +-
 client/presets.json                           |   12 +-
 client/requirements.txt                       |    2 +
 client/stats.py                               |   12 +-
 client/test_videos.py                         |  249 ++
 client/ui.py                                  |  836 +++-
 docker-compose.prod.yml                       |    2 +-
 docker-compose.yml                            |    1 -
 frontend/app/api/query/route.ts               |   41 +-
 .../EncoderDashboardClient.tsx                |  195 +
 frontend/app/compare-encoders/page.module.css |   73 +
 frontend/app/compare-encoders/page.tsx        |   28 +
 .../app/components/BenchmarksTable.module.css |  282 +-
 frontend/app/components/BenchmarksTable.tsx   |  633 ++-
 frontend/app/components/ComparePanel.tsx      |   23 +-
 frontend/app/components/ContentRadarChart.tsx |  163 +
 frontend/app/components/CpuUtilHeatmap.tsx    |  130 +
 frontend/app/components/EChart.tsx            |   64 +
 frontend/app/components/EfficiencyChart.tsx   |   88 +
 frontend/app/components/ErrorBoundary.tsx     |    2 +-
 frontend/app/components/FpsByCodecChart.tsx   |  170 +-
 frontend/app/components/GpuUtilChart.tsx      |   90 +
 .../app/components/GroupedSizeByPreset.tsx    |  204 +-
 .../app/components/HardwareRecommendation.tsx |  145 +
 frontend/app/components/LazyChart.tsx         |   36 +
 .../components/LeaderboardTable.module.css    |   81 +
 frontend/app/components/LeaderboardTable.tsx  |   52 +
 .../app/components/PassSpeedComparison.tsx    |   96 +
 .../app/components/PowerConsumptionChart.tsx  |   88 +
 frontend/app/components/PsnrHistogram.tsx     |   93 +
 .../app/components/RateDistortionChart.tsx    |  140 +
 .../components/ResolutionComparisonChart.tsx  |  152 +
 .../app/components/ScatterFpsSize.module.css  |   28 +-
 frontend/app/components/ScatterFpsSize.tsx    |  226 +-
 frontend/app/components/ScatterSsimVmaf.tsx   |   95 +
 frontend/app/components/SsimHistogram.tsx     |   93 +
 frontend/app/components/StatsCards.module.css |   14 +-
 frontend/app/components/VmafHistogram.tsx     |  186 +-
 frontend/app/globals.css                      |   49 +-
 frontend/app/hardware/page.module.css         |   37 +
 frontend/app/hardware/page.tsx                |   64 +
 frontend/app/layout.module.css                |   61 +-
 frontend/app/layout.tsx                       |   19 +-
 frontend/app/leaderboards/page.module.css     |   21 +
 frontend/app/leaderboards/page.tsx            |  224 +
 frontend/app/lib/chartColors.ts               |   16 +
 frontend/app/lib/fetchBenchmarks.ts           |   31 +
 frontend/app/lib/fetchBenchmarksClient.ts     |   13 +
 frontend/app/lib/plScore.ts                   |  274 ++
 frontend/app/lib/types.ts                     |   40 +
 frontend/app/lib/useChartTheme.ts             |   53 +
 frontend/app/page.module.css                  |   51 +-
 frontend/app/page.tsx                         |   34 +-
 frontend/app/plove/page.tsx                   |   63 +-
 frontend/package-lock.json                    |   60 +
 frontend/package.json                         |    2 +
 nginx/conf.d/default.conf                     |   35 -
 scripts/e2e.sh                                |  124 +-
 scripts/local_test.sh                         |  253 ++
 scripts/manage_keys.sh                        |   56 +-
 scripts/redploy.sh                            |   77 +-
 scripts/setup_env.sh                          |   37 +-
 server/package.json                           |    2 +-
 .../migration.sql                             |    2 +-
 .../migration.sql                             |   39 +
 .../migration.sql                             |   47 +
 .../migration.sql                             |    4 +
 .../migration.sql                             |   11 +
 .../migration.sql                             |   58 +
 .../migration.sql                             |    2 +
 .../migration.sql                             |   29 +
 .../migration.sql                             |    3 +
 .../migration.sql                             |  288 ++
 server/prisma/schema.prisma                   |  135 +-
 server/src/generated/prisma/client.d.ts       |    1 -
 server/src/generated/prisma/client.js         |    4 -
 server/src/generated/prisma/default.d.ts      |    1 -
 server/src/generated/prisma/default.js        |    4 -
 server/src/generated/prisma/edge.d.ts         |    1 -
 server/src/generated/prisma/edge.js           |  200 -
 server/src/generated/prisma/index-browser.js  |  187 -
 server/src/generated/prisma/index.d.ts        | 2774 ------------
 server/src/generated/prisma/index.js          |  221 -
 .../libquery_engine-darwin-arm64.dylib.node   |  Bin 19321760 -> 0 bytes
 server/src/generated/prisma/package.json      |  183 -
 .../src/generated/prisma/query_engine_bg.js   |    2 -
 .../src/generated/prisma/query_engine_bg.wasm |  Bin 2317122 -> 0 bytes
 .../src/generated/prisma/runtime/edge-esm.js  |   34 -
 server/src/generated/prisma/runtime/edge.js   |   34 -
 .../prisma/runtime/index-browser.d.ts         |  370 --
 .../generated/prisma/runtime/index-browser.js |   16 -
 .../src/generated/prisma/runtime/library.d.ts | 3976 -----------------
 .../src/generated/prisma/runtime/library.js   |  146 -
 .../generated/prisma/runtime/react-native.js  |   83 -
 .../prisma/runtime/wasm-compiler-edge.js      |   84 -
 .../prisma/runtime/wasm-engine-edge.js        |   36 -
 server/src/generated/prisma/schema.prisma     |   37 -
 .../prisma/wasm-edge-light-loader.mjs         |    4 -
 .../generated/prisma/wasm-worker-loader.mjs   |    4 -
 server/src/generated/prisma/wasm.d.ts         |    1 -
 server/src/generated/prisma/wasm.js           |  207 -
 server/src/index.ts                           |   32 +-
 server/src/routes.ts                          |  899 +++-
 server/src/seedDummyDatabase.ts               |  345 ++
 server/test/routes.smoke.test.js              |  189 +
 111 files changed, 8710 insertions(+), 10277 deletions(-)
 create mode 100644 client/hardware_monitor.py
 create mode 100644 client/test_videos.py
 create mode 100644 frontend/app/compare-encoders/EncoderDashboardClient.tsx
 create mode 100644 frontend/app/compare-encoders/page.module.css
 create mode 100644 frontend/app/compare-encoders/page.tsx
 create mode 100644 frontend/app/components/ContentRadarChart.tsx
 create mode 100644 frontend/app/components/CpuUtilHeatmap.tsx
 create mode 100644 frontend/app/components/EChart.tsx
 create mode 100644 frontend/app/components/EfficiencyChart.tsx
 create mode 100644 frontend/app/components/GpuUtilChart.tsx
 create mode 100644 frontend/app/components/HardwareRecommendation.tsx
 create mode 100644 frontend/app/components/LazyChart.tsx
 create mode 100644 frontend/app/components/LeaderboardTable.module.css
 create mode 100644 frontend/app/components/LeaderboardTable.tsx
 create mode 100644 frontend/app/components/PassSpeedComparison.tsx
 create mode 100644 frontend/app/components/PowerConsumptionChart.tsx
 create mode 100644 frontend/app/components/PsnrHistogram.tsx
 create mode 100644 frontend/app/components/RateDistortionChart.tsx
 create mode 100644 frontend/app/components/ResolutionComparisonChart.tsx
 create mode 100644 frontend/app/components/ScatterSsimVmaf.tsx
 create mode 100644 frontend/app/components/SsimHistogram.tsx
 create mode 100644 frontend/app/hardware/page.module.css
 create mode 100644 frontend/app/hardware/page.tsx
 create mode 100644 frontend/app/leaderboards/page.module.css
 create mode 100644 frontend/app/leaderboards/page.tsx
 create mode 100644 frontend/app/lib/chartColors.ts
 create mode 100644 frontend/app/lib/fetchBenchmarks.ts
 create mode 100644 frontend/app/lib/fetchBenchmarksClient.ts
 create mode 100644 frontend/app/lib/plScore.ts
 create mode 100644 frontend/app/lib/types.ts
 create mode 100644 frontend/app/lib/useChartTheme.ts
 create mode 100755 scripts/local_test.sh
 mode change 100644 => 100755 scripts/manage_keys.sh
 create mode 100644 server/prisma/migrations/20251009000000_create_submission_table/migration.sql
 create mode 100644 server/prisma/migrations/20251010120000_data_integrity_sprint1/migration.sql
 create mode 100644 server/prisma/migrations/20251012120000_sprint2_optimizations/migration.sql
 create mode 100644 server/prisma/migrations/20260218120000_sprint3_ssim_psnr/migration.sql
 create mode 100644 server/prisma/migrations/20260218130000_sprint5_multi_content/migration.sql
 create mode 100644 server/prisma/migrations/20260218130000_sprint5_multi_content_resolution/migration.sql
 create mode 100644 server/prisma/migrations/20260218130000_sprint6_hardware_metrics/migration.sql
 create mode 100644 server/prisma/migrations/20260218140000_sprint4_query_indexes/migration.sql
 create mode 100644 server/prisma/migrations/20260219170000_sprint7_extended_telemetry/migration.sql
 delete mode 100644 server/src/generated/prisma/client.d.ts
 delete mode 100644 server/src/generated/prisma/client.js
 delete mode 100644 server/src/generated/prisma/default.d.ts
 delete mode 100644 server/src/generated/prisma/default.js
 delete mode 100644 server/src/generated/prisma/edge.d.ts
 delete mode 100644 server/src/generated/prisma/edge.js
 delete mode 100644 server/src/generated/prisma/index-browser.js
 delete mode 100644 server/src/generated/prisma/index.d.ts
 delete mode 100644 server/src/generated/prisma/index.js
 delete mode 100755 server/src/generated/prisma/libquery_engine-darwin-arm64.dylib.node
 delete mode 100644 server/src/generated/prisma/package.json
 delete mode 100644 server/src/generated/prisma/query_engine_bg.js
 delete mode 100644 server/src/generated/prisma/query_engine_bg.wasm
 delete mode 100644 server/src/generated/prisma/runtime/edge-esm.js
 delete mode 100644 server/src/generated/prisma/runtime/edge.js
 delete mode 100644 server/src/generated/prisma/runtime/index-browser.d.ts
 delete mode 100644 server/src/generated/prisma/runtime/index-browser.js
 delete mode 100644 server/src/generated/prisma/runtime/library.d.ts
 delete mode 100644 server/src/generated/prisma/runtime/library.js
 delete mode 100644 server/src/generated/prisma/runtime/react-native.js
 delete mode 100644 server/src/generated/prisma/runtime/wasm-compiler-edge.js
 delete mode 100644 server/src/generated/prisma/runtime/wasm-engine-edge.js
 delete mode 100644 server/src/generated/prisma/schema.prisma
 delete mode 100644 server/src/generated/prisma/wasm-edge-light-loader.mjs
 delete mode 100644 server/src/generated/prisma/wasm-worker-loader.mjs
 delete mode 100644 server/src/generated/prisma/wasm.d.ts
 delete mode 100644 server/src/generated/prisma/wasm.js
 create mode 100644 server/src/seedDummyDatabase.ts
 create mode 100644 server/test/routes.smoke.test.js

diff --git a/.gitignore b/.gitignore
index 86b4d6e..a1a0435 100644
--- a/.gitignore
+++ b/.gitignore
@@ -54,6 +54,7 @@ frontend/.cache/
 server/prisma/dev.db*
 server/prisma/*.db-journal
 server/prisma/migrations/*/steps.json
+server/src/generated/prisma/
 
 # Python / client
 __pycache__/
@@ -86,4 +87,8 @@ coverage/
 
 # Nginx certs (place externally)
 nginx/certs/
-IMPROVEMENTS.md
\ No newline at end of file
+IMPROVEMENTS.md
+OPTIMIZATIONS.md
+BUG_FIXES.md
+NEW_FEATURES.md
+roadmap.md
diff --git a/client/config.py b/client/config.py
index 30245a7..5a5e486 100644
--- a/client/config.py
+++ b/client/config.py
@@ -45,8 +45,17 @@
 
 _ALLOWED_PAYLOAD_KEYS: Tuple[str, ...] = (
     'cpuModel', 'gpuModel', 'ramGB', 'os',
-    'codec', 'preset', 'crf', 'fps', 'vmaf', 'fileSizeBytes', 'notes',
-    'ffmpegVersion', 'encoderName', 'clientVersion', 'inputHash', 'runMs'
+    'codec', 'preset', 'crf', 'contentClass', 'resolution', 'passes',
+    'fps', 'vmaf', 'ssim', 'psnr', 'fileSizeBytes', 'notes',
+    'ffmpegVersion', 'encoderName', 'clientVersion', 'inputHash', 'runMs',
+    'gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
+    'cpuUtilAvg', 'cpuUtilMax', 'peakMemoryMB', 'thermalThrottle',
+    # Extended telemetry (Sprint 7)
+    'gpuTempMaxC', 'cpuFreqAvgMHz', 'cpuTempMaxC',
+    'ffmpegCpuUtilAvg', 'ffmpegCpuUtilMax',
+    'ffmpegReadMB', 'ffmpegWriteMB', 'ffmpegCpuTimeS',
+    'batteryPercentStart', 'batteryPercentEnd', 'batteryPercentDrop',
+    'powerSource', 'sampleCount', 'monitorDurationMs',
 )
 
 # Batch aggregation for Small/Full multi-run flows
@@ -56,6 +65,8 @@
 
 # Baseline cache for client-side outlier checks (populated lazily per session)
 _BASELINE_ROWS_CACHE: Optional[List[Dict[str, Any]]] = None
+_BASELINE_ROWS_CACHE_TS: float = 0.0
+_BASELINE_ROWS_CACHE_TTL: float = 1800.0  # 30 minutes
 
 # --- Cross-platform binary resolution helpers ---
 
diff --git a/client/encoders.py b/client/encoders.py
index 7a44a04..b4fa670 100644
--- a/client/encoders.py
+++ b/client/encoders.py
@@ -62,6 +62,17 @@
     "vp9": ["libvpx-vp9"],
 }
 
+HARDWARE_ENCODER_SUFFIXES: Tuple[str, ...] = (
+    "_nvenc", "_qsv", "_amf", "_videotoolbox", "_vaapi", "_v4l2m2m", "_omx",
+)
+
+
+def is_hardware_encoder_name(encoder: str) -> bool:
+    try:
+        return encoder.strip().lower().endswith(HARDWARE_ENCODER_SUFFIXES)
+    except Exception:
+        return False
+
 
 def exec_ok(cmd: List[str]) -> bool:
     try:
@@ -82,12 +93,33 @@ def ensure_ffmpeg_and_ffprobe() -> Tuple[bool, Optional[str]]:
     return True, version_line
 
 
-def has_encoder(encoder: str) -> bool:
+_ENCODER_LIST_CACHE: Optional[set] = None
+
+
+def _get_encoder_set() -> set:
+    """Fetch and cache the full encoder list from a single ffmpeg -encoders call."""
+    global _ENCODER_LIST_CACHE
+    if _ENCODER_LIST_CACHE is not None:
+        return _ENCODER_LIST_CACHE
     try:
-        out = subprocess.run([config.ffmpeg_exe(), "-hide_banner", "-encoders"], stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True)
-        return encoder in (out.stdout or "")
+        out = subprocess.run(
+            [config.ffmpeg_exe(), "-hide_banner", "-encoders"],
+            stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True,
+        )
+        names: set = set()
+        for line in (out.stdout or "").splitlines():
+            # Encoder lines start with a flags field (e.g. " V..... libx264")
+            parts = line.strip().split()
+            if len(parts) >= 2:
+                names.add(parts[1])
+        _ENCODER_LIST_CACHE = names
+        return names
     except Exception:
-        return False
+        return set()
+
+
+def has_encoder(encoder: str) -> bool:
+    return encoder in _get_encoder_set()
 
 
 def is_hardware_encoder_usable(encoder: str) -> bool:
@@ -98,7 +130,7 @@ def is_hardware_encoder_usable(encoder: str) -> bool:
         if enc in config._ENCODER_USABLE_CACHE:
             return config._ENCODER_USABLE_CACHE[enc]
 
-    if not enc.endswith(("_nvenc", "_qsv", "_amf", "_videotoolbox", "_vaapi", "_v4l2m2m", "_omx")):
+    if not is_hardware_encoder_name(enc):
         ok = has_encoder(encoder)
         with config._GLOBAL_STATE_LOCK:
             config._ENCODER_USABLE_CACHE[enc] = ok
@@ -109,12 +141,19 @@ def is_hardware_encoder_usable(encoder: str) -> bool:
             out_path = os.path.join(td, "probe.mp4")
             cmd = [
                 config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "error",
-                "-f", "lavfi", "-i", "testsrc=size=16x16:rate=1",
-                "-frames:v", "1", "-pix_fmt", "yuv420p",
+                # Use a realistic tiny sample so we don't reject encoders due to
+                # unusual minimum-size constraints.
+                "-f", "lavfi", "-i", "testsrc=size=128x128:rate=30",
+                "-frames:v", "8", "-pix_fmt", "yuv420p",
                 "-c:v", encoder,
             ]
             if enc.endswith("_videotoolbox"):
-                cmd += ["-allow_sw", "1"]
+                # Mirror production VT options to reduce false positives in probe.
+                cmd += ["-b:v", "3000k"]
+                if enc == "h264_videotoolbox":
+                    cmd += ["-profile:v", "high", "-g", "120"]
+                elif enc == "hevc_videotoolbox":
+                    cmd += ["-tag:v", "hvc1"]
             cmd += ["-an", out_path]
             proc = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=8)
             ok = (proc.returncode == 0) and os.path.exists(out_path) and os.path.getsize(out_path) > 0
@@ -293,6 +332,14 @@ def get_encoder_friendly_label(encoder: str) -> str:
     return e
 
 
+def _numeric_speed_key(n: str) -> int:
+    """Sort key for numeric presets (higher number = faster)."""
+    try:
+        return -int(n)
+    except Exception:
+        return 0
+
+
 def sort_presets_by_speed_desc(encoder: str, presets: List[str]) -> List[str]:
     """Return presets ordered from fastest to slowest for given encoder."""
     e = encoder.strip().lower()
@@ -303,27 +350,8 @@ def sort_presets_by_speed_desc(encoder: str, presets: List[str]) -> List[str]:
         ]
         order_index = {name: i for i, name in enumerate(ordering)}
         return sorted(presets, key=lambda n: order_index.get(n, len(ordering)))
-    if e == "libsvtav1":
-        def speed_key(n: str) -> int:
-            try:
-                return -int(n)
-            except Exception:
-                return 0
-        return sorted(presets, key=speed_key)
-    if e == "libaom-av1":
-        def speed_key(n: str) -> int:
-            try:
-                return -int(n)
-            except Exception:
-                return 0
-        return sorted(presets, key=speed_key)
-    if e == "libvpx-vp9":
-        def speed_key(n: str) -> int:
-            try:
-                return -int(n)
-            except Exception:
-                return 0
-        return sorted(presets, key=speed_key)
+    if e in ("libsvtav1", "libaom-av1", "libvpx-vp9"):
+        return sorted(presets, key=_numeric_speed_key)
     if e.endswith("_nvenc"):
         ordering = ["p7", "p6", "p5", "p4", "p3", "p2", "p1"]
         order_index = {name: i for i, name in enumerate(ordering)}
diff --git a/client/ffmpeg.py b/client/ffmpeg.py
index 31987d1..f83cd5d 100644
--- a/client/ffmpeg.py
+++ b/client/ffmpeg.py
@@ -14,6 +14,41 @@
     map_preset_for_encoder, pick_software_encoder_for_family,
     has_encoder,
 )
+from .hardware_monitor import HardwareMonitor
+
+EXTENDED_TELEMETRY_KEYS: tuple = (
+    'gpuTempMaxC', 'cpuFreqAvgMHz', 'cpuTempMaxC',
+    'ffmpegCpuUtilAvg', 'ffmpegCpuUtilMax',
+    'ffmpegReadMB', 'ffmpegWriteMB', 'ffmpegCpuTimeS',
+    'batteryPercentStart', 'batteryPercentEnd', 'batteryPercentDrop',
+    'powerSource', 'sampleCount', 'monitorDurationMs',
+)
+
+
+def _videotoolbox_target_bitrate(encoder: str, crf: Optional[int]) -> str:
+    """Translate CRF-like intent into a stable VideoToolbox bitrate target."""
+    e = (encoder or "").strip().lower()
+    if crf is None:
+        if e == "hevc_videotoolbox":
+            return "3500k"
+        if e == "av1_videotoolbox":
+            return "3000k"
+        return "5000k"
+    c = max(10, min(40, int(crf)))
+    if e == "hevc_videotoolbox":
+        base = 3500
+    elif e == "av1_videotoolbox":
+        base = 3000
+    else:
+        base = 5000
+    # Every +2 CRF lowers bitrate by ~20%; every -2 raises by ~25%.
+    delta = (24 - c) / 2.0
+    if delta >= 0:
+        kbps = int(round(base * (1.25 ** delta)))
+    else:
+        kbps = int(round(base * (0.8 ** (-delta))))
+    kbps = max(1200, min(22000, kbps))
+    return f"{kbps}k"
 
 
 def build_ffmpeg_encode_cmd(*, input_path: str, output_path: str, encoder: str, preset_name: str, crf: Optional[int] = None) -> List[str]:
@@ -29,39 +64,59 @@ def build_ffmpeg_encode_cmd(*, input_path: str, output_path: str, encoder: str,
             cmd += ["-crf", str(crf)]
         elif e.endswith("_nvenc"):
             cmd += ["-cq", str(max(0, min(51, crf)))]
+        elif e.endswith("_qsv"):
+            cmd += ["-global_quality", str(crf)]
+        elif e.endswith("_amf"):
+            cmd += ["-qp", str(crf)]
+        elif e.endswith("_vaapi"):
+            cmd += ["-qp", str(crf)]
+        elif e.endswith("_videotoolbox"):
+            # VideoToolbox reliability is significantly better with explicit bitrate.
+            cmd += ["-b:v", _videotoolbox_target_bitrate(e, crf)]
     if encoder.endswith(("_nvenc", "_qsv", "_amf", "_videotoolbox", "_vaapi")):
         cmd += ["-vf", "scale=trunc(iw/2)*2:trunc(ih/2)*2", "-pix_fmt", "yuv420p"]
     e = encoder.strip().lower()
     if e.endswith("_videotoolbox"):
         cmd += ["-allow_sw", "1"]
     if e == "h264_videotoolbox":
-        cmd += ["-b:v", "5000k", "-profile:v", "high", "-g", "120"]
+        if crf is None:
+            cmd += ["-b:v", _videotoolbox_target_bitrate(e, None)]
+        cmd += ["-profile:v", "high", "-g", "120"]
     elif e == "hevc_videotoolbox":
-        cmd += ["-b:v", "5000k", "-tag:v", "hvc1"]
+        if crf is None:
+            cmd += ["-b:v", _videotoolbox_target_bitrate(e, None)]
+        cmd += ["-tag:v", "hvc1"]
     elif e == "av1_videotoolbox":
-        cmd += ["-b:v", "5000k"]
+        if crf is None:
+            cmd += ["-b:v", _videotoolbox_target_bitrate(e, None)]
     cmd += ["-an", output_path]
     return cmd
 
 
+def _parse_frame_count_from_stderr(stderr: str) -> int:
+    """Extract the last frame= value from FFmpeg's stderr progress output."""
+    matches = re.findall(r'frame=\s*(\d+)', stderr or '')
+    if matches:
+        try:
+            return int(matches[-1])
+        except (ValueError, IndexError):
+            pass
+    return 0
+
+
 def run_ffmpeg_test(input_path: str, preset: str, codec: str = "libx264", crf: Optional[int] = None) -> Dict[str, Any]:
     with tempfile.TemporaryDirectory() as td:
         out_path = os.path.join(td, "out.mp4")
         cmd = build_ffmpeg_encode_cmd(input_path=input_path, output_path=out_path, encoder=codec, preset_name=preset, crf=crf)
+        # Use -loglevel info to get frame= progress lines in stderr
+        if "-loglevel" in cmd:
+            idx = cmd.index("-loglevel")
+            cmd[idx + 1] = "info"
         start = time.time()
         proc = subprocess.run(cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
         end = time.time()
         elapsed = max(0.0001, end - start)
-        try:
-            probe = subprocess.run([
-                config.ffprobe_exe(), "-v", "error", "-count_frames", "-select_streams", "v:0",
-                "-show_entries", "stream=nb_read_frames",
-                "-of", "default=nokey=1:noprint_wrappers=1", out_path
-            ], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True)
-            nb_frames_str = (probe.stdout or "").strip()
-            total_frames = int(nb_frames_str) if nb_frames_str.isdigit() else 0
-        except Exception:
-            total_frames = 0
+        total_frames = _parse_frame_count_from_stderr(proc.stderr)
         fps = (total_frames / elapsed) if total_frames > 0 else 0.0
         size = os.path.getsize(out_path) if os.path.exists(out_path) else 0
         result: Dict[str, Any] = {"fps": fps, "fileSizeBytes": size, "_encode_rc": proc.returncode, "elapsedMs": int(round(elapsed * 1000))}
@@ -112,6 +167,47 @@ def compute_vmaf(input_path: str, encoded_path: str) -> Optional[float]:
     return None
 
 
+def compute_ssim(input_path: str, encoded_path: str) -> Optional[float]:
+    cmd = [
+        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "info",
+        "-i", input_path,
+        "-i", encoded_path,
+        "-lavfi", "ssim",
+        "-f", "null", "-",
+    ]
+    try:
+        proc = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
+        out = proc.stdout
+        m = re.search(r'All:\s*([0-9]+(?:\.[0-9]+)?)', out)
+        if m:
+            return float(m.group(1))
+    except Exception:
+        pass
+    return None
+
+
+def compute_psnr(input_path: str, encoded_path: str) -> Optional[float]:
+    cmd = [
+        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "info",
+        "-i", input_path,
+        "-i", encoded_path,
+        "-lavfi", "psnr",
+        "-f", "null", "-",
+    ]
+    try:
+        proc = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
+        out = proc.stdout
+        m = re.search(r'average:\s*([0-9]+(?:\.[0-9]+)?|inf)', out)
+        if m:
+            val = m.group(1)
+            if val == 'inf':
+                return 100.0
+            return min(float(val), 100.0)
+    except Exception:
+        pass
+    return None
+
+
 def _encoder_family_for(encoder: str) -> Optional[str]:
     e = (encoder or '').lower()
     if 'h264' in e:
@@ -125,16 +221,45 @@ def _encoder_family_for(encoder: str) -> Optional[str]:
     return None
 
 
+def _build_telemetry_note(telemetry: Dict[str, Any], max_len: int = 3200) -> Optional[str]:
+    if not telemetry:
+        return None
+    try:
+        blob = json.dumps(telemetry, separators=(",", ":"), sort_keys=True)
+    except Exception:
+        return None
+    if len(blob) > max_len:
+        blob = blob[:max_len]
+    return f"telemetry={blob}"
+
+
+def _run_monitored(cmd: List[str]) -> tuple:
+    """Run an FFmpeg command with hardware monitoring via Popen.
+
+    Returns (stdout, stderr, returncode, elapsed, hw_metrics).
+    """
+    proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+    monitor = HardwareMonitor(ffmpeg_pid=proc.pid, interval=0.5)
+    monitor.start()
+    start = time.time()
+    stdout, stderr = proc.communicate()
+    end = time.time()
+    hw_metrics = monitor.stop()
+    elapsed = max(0.0001, end - start)
+    return stdout, stderr, proc.returncode, elapsed, hw_metrics
+
+
 def encode_to_artifact(*, input_path: str, encoder: str, preset: str, crf: Optional[int], out_dir: str, artifact_name: str) -> Dict[str, Any]:
     os.makedirs(out_dir, exist_ok=True)
     artifact_path = os.path.join(out_dir, artifact_name)
     cmd = build_ffmpeg_encode_cmd(input_path=input_path, output_path=artifact_path, encoder=encoder, preset_name=preset, crf=crf)
-    start = time.time()
-    proc = subprocess.run(cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-    end = time.time()
-    elapsed = max(0.0001, end - start)
+    # Use -loglevel info to get frame= progress lines in stderr
+    if "-loglevel" in cmd:
+        idx = cmd.index("-loglevel")
+        cmd[idx + 1] = "info"
+    stdout, stderr, returncode, elapsed, hw_metrics = _run_monitored(cmd)
     original_encoder = encoder
-    if (proc.returncode != 0 or not os.path.exists(artifact_path) or os.path.getsize(artifact_path) <= 0):
+    if (returncode != 0 or not os.path.exists(artifact_path) or os.path.getsize(artifact_path) <= 0):
         family = _encoder_family_for(encoder)
         if family:
             sw = pick_software_encoder_for_family(family)
@@ -142,34 +267,25 @@ def encode_to_artifact(*, input_path: str, encoder: str, preset: str, crf: Optio
                 try:
                     print(f"  Hardware encoder '{encoder}' failed, falling back to software encoder '{sw}'...")
                     cmd_sw = build_ffmpeg_encode_cmd(input_path=input_path, output_path=artifact_path, encoder=sw, preset_name=preset, crf=crf)
-                    start = time.time()
-                    proc = subprocess.run(cmd_sw, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-                    end = time.time()
-                    elapsed = max(0.0001, end - start)
+                    if "-loglevel" in cmd_sw:
+                        idx = cmd_sw.index("-loglevel")
+                        cmd_sw[idx + 1] = "info"
+                    stdout, stderr, returncode, elapsed, hw_metrics = _run_monitored(cmd_sw)
                     encoder = sw
-                    if proc.returncode == 0 and os.path.exists(artifact_path) and os.path.getsize(artifact_path) > 0:
+                    if returncode == 0 and os.path.exists(artifact_path) and os.path.getsize(artifact_path) > 0:
                         print(f"  Software encoder '{sw}' succeeded.")
                     else:
                         print(f"  Software encoder '{sw}' also failed.", file=sys.stderr)
                 except Exception as e:
                     print(f"  Fallback to software encoder failed: {e}", file=sys.stderr)
-    try:
-        probe = subprocess.run([
-            config.ffprobe_exe(), '-v', 'error', '-count_frames', '-select_streams', 'v:0',
-            '-show_entries', 'stream=nb_read_frames',
-            '-of', 'default=nokey=1:noprint_wrappers=1', artifact_path
-        ], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True)
-        nb_frames_str = (probe.stdout or '').strip()
-        total_frames = int(nb_frames_str) if nb_frames_str.isdigit() else 0
-    except Exception:
-        total_frames = 0
+    total_frames = _parse_frame_count_from_stderr(stderr)
     fps_val = (total_frames / elapsed) if total_frames > 0 else 0.0
     size_val = os.path.getsize(artifact_path) if os.path.exists(artifact_path) else 0
     err_msg: Optional[str] = None
-    if proc.returncode != 0 or size_val <= 0 or fps_val <= 0.0:
-        stderr_lines = (proc.stderr or '').splitlines()
+    if returncode != 0 or size_val <= 0 or fps_val <= 0.0:
+        stderr_lines = (stderr or '').splitlines()
         err_msg = '; '.join([ln.strip() for ln in stderr_lines[-5:]]) if stderr_lines else 'ffmpeg failed'
-    return {
+    result: Dict[str, Any] = {
         'artifactPath': artifact_path,
         'encoderUsed': encoder,
         'elapsedMs': int(round(elapsed * 1000)),
@@ -177,6 +293,65 @@ def encode_to_artifact(*, input_path: str, encoder: str, preset: str, crf: Optio
         'fileSizeBytes': int(size_val),
         'error': err_msg,
     }
+    if hw_metrics.gpu_util_avg is not None:
+        result['gpuUtilAvg'] = round(hw_metrics.gpu_util_avg, 2)
+    if hw_metrics.gpu_power_avg_w is not None:
+        result['gpuPowerAvgW'] = round(hw_metrics.gpu_power_avg_w, 2)
+    if hw_metrics.gpu_mem_peak_mb is not None:
+        result['gpuMemPeakMB'] = round(hw_metrics.gpu_mem_peak_mb, 2)
+    if hw_metrics.cpu_util_avg is not None:
+        result['cpuUtilAvg'] = round(hw_metrics.cpu_util_avg, 2)
+    if hw_metrics.cpu_util_max is not None:
+        result['cpuUtilMax'] = round(hw_metrics.cpu_util_max, 2)
+    if hw_metrics.peak_memory_mb is not None:
+        result['peakMemoryMB'] = round(hw_metrics.peak_memory_mb, 2)
+    if hw_metrics.thermal_throttle is not None:
+        result['thermalThrottle'] = hw_metrics.thermal_throttle
+
+    # Extended telemetry fields (queryable columns on newer servers)
+    if hw_metrics.gpu_temp_max_c is not None:
+        result['gpuTempMaxC'] = round(hw_metrics.gpu_temp_max_c, 2)
+    if hw_metrics.cpu_freq_avg_mhz is not None:
+        result['cpuFreqAvgMHz'] = round(hw_metrics.cpu_freq_avg_mhz, 2)
+    if hw_metrics.cpu_temp_max_c is not None:
+        result['cpuTempMaxC'] = round(hw_metrics.cpu_temp_max_c, 2)
+    if hw_metrics.ffmpeg_cpu_util_avg is not None:
+        result['ffmpegCpuUtilAvg'] = round(hw_metrics.ffmpeg_cpu_util_avg, 2)
+    if hw_metrics.ffmpeg_cpu_util_max is not None:
+        result['ffmpegCpuUtilMax'] = round(hw_metrics.ffmpeg_cpu_util_max, 2)
+    if hw_metrics.ffmpeg_read_mb is not None:
+        result['ffmpegReadMB'] = round(hw_metrics.ffmpeg_read_mb, 2)
+    if hw_metrics.ffmpeg_write_mb is not None:
+        result['ffmpegWriteMB'] = round(hw_metrics.ffmpeg_write_mb, 2)
+    if hw_metrics.ffmpeg_cpu_time_s is not None:
+        result['ffmpegCpuTimeS'] = round(hw_metrics.ffmpeg_cpu_time_s, 3)
+    if hw_metrics.battery_percent_start is not None:
+        result['batteryPercentStart'] = round(hw_metrics.battery_percent_start, 2)
+    if hw_metrics.battery_percent_end is not None:
+        result['batteryPercentEnd'] = round(hw_metrics.battery_percent_end, 2)
+    if hw_metrics.battery_percent_drop is not None:
+        result['batteryPercentDrop'] = round(hw_metrics.battery_percent_drop, 2)
+    if hw_metrics.power_source is not None:
+        result['powerSource'] = hw_metrics.power_source
+    if hw_metrics.sample_count is not None:
+        result['sampleCount'] = int(hw_metrics.sample_count)
+    if hw_metrics.monitor_duration_ms is not None:
+        result['monitorDurationMs'] = int(hw_metrics.monitor_duration_ms)
+
+    telemetry: Dict[str, Any] = {}
+    for key in ('gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
+                'cpuUtilAvg', 'cpuUtilMax', 'peakMemoryMB', 'thermalThrottle'):
+        if key in result:
+            telemetry[key] = result[key]
+    for key in EXTENDED_TELEMETRY_KEYS:
+        if key in result:
+            telemetry[key] = result[key]
+    note = _build_telemetry_note(telemetry)
+    if telemetry:
+        result['telemetry'] = telemetry
+    if note:
+        result['telemetryNote'] = note
+    return result
 
 
 def compute_vmaf_parallel(input_path: str, artifacts: List[str], workers: int) -> Dict[str, Optional[float]]:
@@ -204,55 +379,236 @@ def compute_vmaf_parallel(input_path: str, artifacts: List[str], workers: int) -
     return results
 
 
+def compute_metrics_parallel(input_path: str, artifacts: List[str], workers: int, quiet: bool = False) -> Dict[str, Dict[str, Optional[float]]]:
+    """Compute VMAF, SSIM, and PSNR for each artifact in parallel.
+
+    Returns {artifact_path: {'vmaf': X, 'ssim': Y, 'psnr': Z}}.
+    """
+    results: Dict[str, Dict[str, Optional[float]]] = {ap: {'vmaf': None, 'ssim': None, 'psnr': None} for ap in artifacts}
+    if not artifacts:
+        return results
+    metric_fns: List[tuple] = []
+    for ap in artifacts:
+        metric_fns.append((ap, 'vmaf', compute_vmaf))
+        metric_fns.append((ap, 'ssim', compute_ssim))
+        metric_fns.append((ap, 'psnr', compute_psnr))
+    total = len(metric_fns)
+    done = 0
+    if not quiet:
+        print(f"Calculating quality metrics (VMAF, SSIM, PSNR) for {len(artifacts)} artifact(s) with {max(1, workers)} worker(s)...")
+    with ThreadPoolExecutor(max_workers=max(1, workers)) as ex:
+        futs = {ex.submit(fn, input_path, ap): (ap, metric_name) for ap, metric_name, fn in metric_fns}
+        for fut in as_completed(futs):
+            ap, metric_name = futs[fut]
+            try:
+                results[ap][metric_name] = fut.result()
+            except Exception:
+                results[ap][metric_name] = None
+            done += 1
+            try:
+                pct = (done / total) * 100.0
+            except Exception:
+                pct = 100.0
+            if not quiet:
+                print(f"Metrics progress: {done}/{total} ({pct:.0f}%)")
+    if not quiet:
+        print("Quality metrics batch complete.")
+    return results
+
+
+RESOLUTION_DIMENSIONS: Dict[str, tuple] = {
+    "480p": (854, 480),
+    "720p": (1280, 720),
+    "1080p": (1920, 1080),
+    "1440p": (2560, 1440),
+    "4k": (3840, 2160),
+}
+
+TWOPASS_BITRATE_TARGETS: Dict[str, str] = {
+    "480p": "1500k",
+    "720p": "3000k",
+    "1080p": "6000k",
+    "1440p": "12000k",
+    "4k": "20000k",
+}
+
+
+def scale_video(input_path: str, target_resolution: str, output_path: str) -> bool:
+    """Scale a video to target_resolution using a near-lossless intermediate.
+
+    Returns True on success.
+    """
+    dims = RESOLUTION_DIMENSIONS.get(target_resolution)
+    if not dims:
+        return False
+    w, h = dims
+    cmd = [
+        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "error", "-nostdin",
+        "-i", input_path,
+        "-vf", f"scale={w}:{h}:flags=lanczos",
+        "-c:v", "libx264", "-crf", "0", "-preset", "ultrafast",
+        "-an", output_path,
+    ]
+    try:
+        proc = subprocess.run(cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=300)
+        return proc.returncode == 0 and os.path.exists(output_path) and os.path.getsize(output_path) > 0
+    except Exception:
+        return False
+
+
+def build_ffmpeg_twopass_cmds(
+    *, input_path: str, output_path: str, encoder: str, preset_name: str,
+    bitrate: str, passlogfile: str,
+) -> tuple:
+    """Return (pass1_cmd, pass2_cmd) for two-pass encoding."""
+    from .encoders import map_preset_for_encoder
+
+    null_out = "/dev/null" if os.name != "nt" else "NUL"
+
+    base = [
+        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "info", "-nostdin",
+        "-i", input_path,
+        "-c:v", encoder,
+    ]
+    base += map_preset_for_encoder(encoder, preset_name)
+    base += ["-b:v", bitrate]
+
+    if encoder.endswith(("_nvenc", "_qsv", "_amf", "_videotoolbox", "_vaapi")):
+        base += ["-vf", "scale=trunc(iw/2)*2:trunc(ih/2)*2", "-pix_fmt", "yuv420p"]
+
+    pass1 = base + ["-pass", "1", "-passlogfile", passlogfile, "-an", "-f", "null", null_out]
+    pass2 = base + ["-pass", "2", "-passlogfile", passlogfile, "-an", output_path]
+
+    return (pass1, pass2)
+
+
+def encode_to_artifact_twopass(
+    *, input_path: str, encoder: str, preset: str, bitrate: str,
+    out_dir: str, artifact_name: str,
+) -> Dict[str, Any]:
+    """Two-pass encode, measuring combined time for both passes."""
+    os.makedirs(out_dir, exist_ok=True)
+    artifact_path = os.path.join(out_dir, artifact_name)
+    passlogfile = os.path.join(out_dir, "ffmpeg2pass")
+
+    pass1_cmd, pass2_cmd = build_ffmpeg_twopass_cmds(
+        input_path=input_path, output_path=artifact_path, encoder=encoder,
+        preset_name=preset, bitrate=bitrate, passlogfile=passlogfile,
+    )
+
+    start = time.time()
+
+    proc1 = subprocess.run(pass1_cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+    if proc1.returncode != 0:
+        stderr_lines = (proc1.stderr or "").splitlines()
+        err_msg = "; ".join([ln.strip() for ln in stderr_lines[-5:]]) if stderr_lines else "pass 1 failed"
+        end = time.time()
+        return {
+            "artifactPath": artifact_path,
+            "encoderUsed": encoder,
+            "elapsedMs": int(round((end - start) * 1000)),
+            "fps": 0.0,
+            "fileSizeBytes": 0,
+            "error": err_msg,
+        }
+
+    proc2 = subprocess.run(pass2_cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+    end = time.time()
+    elapsed = max(0.0001, end - start)
+
+    total_frames = _parse_frame_count_from_stderr(proc2.stderr)
+    fps_val = (total_frames / elapsed) if total_frames > 0 else 0.0
+    size_val = os.path.getsize(artifact_path) if os.path.exists(artifact_path) else 0
+
+    err_msg_2: Optional[str] = None
+    if proc2.returncode != 0 or size_val <= 0 or fps_val <= 0.0:
+        stderr_lines = (proc2.stderr or "").splitlines()
+        err_msg_2 = "; ".join([ln.strip() for ln in stderr_lines[-5:]]) if stderr_lines else "pass 2 failed"
+
+    for ext in ("-0.log", "-0.log.mbtree", ".log", ".log.mbtree"):
+        try:
+            p = passlogfile + ext
+            if os.path.exists(p):
+                os.remove(p)
+        except OSError:
+            pass
+
+    return {
+        "artifactPath": artifact_path,
+        "encoderUsed": encoder,
+        "elapsedMs": int(round(elapsed * 1000)),
+        "fps": float(fps_val),
+        "fileSizeBytes": int(size_val),
+        "error": err_msg_2,
+    }
+
+
 def run_single_benchmark(hardware: config.HardwareInfo, input_path: str, preset: str, codec: str = "libx264", crf: Optional[int] = None) -> Dict[str, Any]:
-    result = run_ffmpeg_test(input_path, preset=preset, codec=codec, crf=crf)
-    if (result.get("_encode_rc", 1) != 0 or float(result.get("fps", 0.0)) <= 0 or int(result.get("fileSizeBytes", 0)) <= 0):
-        family = None
-        if codec.endswith("_videotoolbox"):
-            family = "h264" if "h264" in codec else ("hevc" if "hevc" in codec else ("av1" if "av1" in codec else None))
-        elif codec.endswith(('_nvenc', '_qsv', '_amf', '_vaapi')):
-            if 'h264' in codec:
-                family = 'h264'
-            elif 'hevc' in codec:
-                family = 'hevc'
-            elif 'av1' in codec:
-                family = 'av1'
-            elif 'vp9' in codec:
-                family = 'vp9'
-        if family:
-            sw = pick_software_encoder_for_family(family)
-            if sw and sw != codec:
-                print(f"Retrying with software encoder {sw} for preset={preset}...")
-                result = run_ffmpeg_test(input_path, preset=preset, codec=sw, crf=crf)
-                codec = sw
+    # Single encode via encode_to_artifact (which handles HW→SW fallback),
+    # then compute VMAF on the same artifact. No double-encode. (B-C01)
     with tempfile.TemporaryDirectory() as td:
-        encoded_path = os.path.join(td, "out.mp4")
-        cmd = build_ffmpeg_encode_cmd(input_path=input_path, output_path=encoded_path, encoder=codec, preset_name=preset, crf=crf)
+        info = encode_to_artifact(
+            input_path=input_path,
+            encoder=codec,
+            preset=preset,
+            crf=crf,
+            out_dir=td,
+            artifact_name="out.mp4",
+        )
+        actual_encoder = info.get('encoderUsed', codec)
         vmaf: Optional[float] = None
-        if result.get("_encode_rc", 1) == 0 and float(result.get("fps", 0.0)) > 0 and int(result.get("fileSizeBytes", 0)) > 0:
-            print("Calculating VMAF...")
-            subprocess.run(cmd, check=False, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
-            vmaf = compute_vmaf(input_path, encoded_path)
+        ssim: Optional[float] = None
+        psnr: Optional[float] = None
+        artifact_path = info.get('artifactPath', os.path.join(td, "out.mp4"))
+        if info.get('error') is None and float(info.get('fps', 0.0)) > 0 and int(info.get('fileSizeBytes', 0)) > 0:
+            print("Calculating quality metrics (VMAF, SSIM, PSNR)...")
+            vmaf = compute_vmaf(input_path, artifact_path)
+            ssim = compute_ssim(input_path, artifact_path)
+            psnr = compute_psnr(input_path, artifact_path)
+
     payload = {
         "cpuModel": hardware.cpuModel,
         "gpuModel": hardware.gpuModel or "",
         "ramGB": hardware.ramGB,
         "os": hardware.os,
-        "codec": codec,
+        "codec": actual_encoder,
         "preset": preset,
         "crf": crf,
-        "fps": float(result["fps"]),
-        "fileSizeBytes": int(result["fileSizeBytes"]),
-        "runMs": int(result.get("elapsedMs") or 0),
+        "fps": float(info.get('fps', 0.0)),
+        "fileSizeBytes": int(info.get('fileSizeBytes', 0)),
+        "runMs": int(info.get('elapsedMs') or 0),
     }
     if vmaf is not None:
         payload["vmaf"] = float(vmaf)
-    if result.get("_error"):
-        payload["notes"] = str(result["_error"])[:500]
+    if ssim is not None:
+        payload["ssim"] = float(ssim)
+    if psnr is not None:
+        payload["psnr"] = float(psnr)
+    # Hardware metrics from the monitor
+    for hw_key in ('gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
+                   'cpuUtilAvg', 'cpuUtilMax', 'peakMemoryMB', 'thermalThrottle'):
+        if info.get(hw_key) is not None:
+            payload[hw_key] = info[hw_key]
+    for hw_key in EXTENDED_TELEMETRY_KEYS:
+        if info.get(hw_key) is not None:
+            payload[hw_key] = info[hw_key]
+    note_parts: List[str] = []
+    if info.get('error'):
+        note_parts.append(str(info['error']).strip())
+    if info.get('telemetryNote'):
+        note_parts.append(str(info['telemetryNote']).strip())
+    if note_parts:
+        payload["notes"] = "; ".join(note_parts)[:3500]
     return payload
 
 
+_SHA256_CACHE: Dict[str, str] = {}
+
+
 def sha256_of_file(path: str) -> str:
+    resolved = os.path.realpath(path)
+    if resolved in _SHA256_CACHE:
+        return _SHA256_CACHE[resolved]
     hasher = hashlib.sha256()
     with open(path, 'rb') as f:
         while True:
@@ -260,7 +616,9 @@ def sha256_of_file(path: str) -> str:
             if not chunk:
                 break
             hasher.update(chunk)
-    return hasher.hexdigest()
+    digest = hasher.hexdigest()
+    _SHA256_CACHE[resolved] = digest
+    return digest
 
 
 def verify_sample_video(path: str) -> tuple:
diff --git a/client/hardware_monitor.py b/client/hardware_monitor.py
new file mode 100644
index 0000000..9ceebb4
--- /dev/null
+++ b/client/hardware_monitor.py
@@ -0,0 +1,478 @@
+"""Background hardware metrics sampling during FFmpeg encodes.
+
+Collects GPU utilization/power (NVIDIA via pynvml), CPU utilization (psutil),
+process memory (psutil), and thermal throttling detection.
+"""
+
+import threading
+import time
+from dataclasses import dataclass
+from typing import Optional, List, Tuple
+
+import psutil
+
+# Optional NVIDIA GPU monitoring
+try:
+    import pynvml  # type: ignore
+    _PYNVML_AVAILABLE = True
+except Exception:
+    pynvml = None  # type: ignore
+    _PYNVML_AVAILABLE = False
+
+# Optional GPU telemetry fallback (best-effort)
+try:
+    import GPUtil  # type: ignore
+    _GPUTIL_AVAILABLE = True
+except Exception:
+    GPUtil = None  # type: ignore
+    _GPUTIL_AVAILABLE = False
+
+_NVML_INITIALIZED = False
+_NVML_INIT_LOCK = threading.Lock()
+
+
+def _ensure_nvml() -> bool:
+    """Lazily initialize NVML once per process. Returns True if usable."""
+    global _NVML_INITIALIZED
+    if not _PYNVML_AVAILABLE:
+        return False
+    if _NVML_INITIALIZED:
+        return True
+    with _NVML_INIT_LOCK:
+        if _NVML_INITIALIZED:
+            return True
+        try:
+            pynvml.nvmlInit()
+            _NVML_INITIALIZED = True
+            return True
+        except Exception:
+            return False
+
+
+@dataclass
+class HardwareMetrics:
+    gpu_util_avg: Optional[float] = None
+    gpu_power_avg_w: Optional[float] = None
+    gpu_mem_peak_mb: Optional[float] = None
+    gpu_temp_max_c: Optional[float] = None
+    cpu_util_avg: Optional[float] = None
+    cpu_util_max: Optional[float] = None
+    cpu_freq_avg_mhz: Optional[float] = None
+    cpu_temp_max_c: Optional[float] = None
+    peak_memory_mb: Optional[float] = None
+    ffmpeg_cpu_util_avg: Optional[float] = None
+    ffmpeg_cpu_util_max: Optional[float] = None
+    ffmpeg_read_mb: Optional[float] = None
+    ffmpeg_write_mb: Optional[float] = None
+    ffmpeg_cpu_time_s: Optional[float] = None
+    battery_percent_start: Optional[float] = None
+    battery_percent_end: Optional[float] = None
+    battery_percent_drop: Optional[float] = None
+    power_source: Optional[str] = None
+    sample_count: Optional[int] = None
+    monitor_duration_ms: Optional[int] = None
+    thermal_throttle: Optional[bool] = None
+
+
+@dataclass
+class _GpuSample:
+    util_pct: Optional[float] = None
+    power_w: Optional[float] = None
+    mem_used_mb: Optional[float] = None
+    temp_c: Optional[float] = None
+
+
+@dataclass
+class _CpuSample:
+    overall_pct: float
+    freq_mhz: Optional[float] = None
+    temp_c: Optional[float] = None
+
+
+@dataclass
+class _ProcSample:
+    cpu_pct: float
+
+
+class HardwareMonitor:
+    """Samples hardware metrics in a background thread while an encode runs."""
+
+    def __init__(self, ffmpeg_pid: Optional[int] = None, interval: float = 0.5):
+        self._ffmpeg_pid = ffmpeg_pid
+        self._interval = max(0.1, interval)
+        self._stop_event = threading.Event()
+        self._thread: Optional[threading.Thread] = None
+        self._gpu_samples: List[_GpuSample] = []
+        self._cpu_samples: List[_CpuSample] = []
+        self._proc_samples: List[_ProcSample] = []
+        self._memory_peak_bytes: float = 0.0
+        self._lock = threading.Lock()
+        self._gpu_handle = None
+        self._start_ts: float = 0.0
+        self._end_ts: float = 0.0
+        self._battery_start_pct: Optional[float] = None
+        self._battery_end_pct: Optional[float] = None
+        self._power_source: Optional[str] = None
+        self._ffmpeg_io_start: Optional[Tuple[float, float]] = None
+        self._ffmpeg_io_end: Optional[Tuple[float, float]] = None
+        self._ffmpeg_cpu_time_start: Optional[float] = None
+        self._ffmpeg_cpu_time_end: Optional[float] = None
+
+    def start(self) -> None:
+        self._stop_event.clear()
+        self._gpu_samples.clear()
+        self._cpu_samples.clear()
+        self._proc_samples.clear()
+        self._memory_peak_bytes = 0.0
+        self._start_ts = time.time()
+        self._end_ts = 0.0
+        self._battery_start_pct, source = self._read_battery_state()
+        self._battery_end_pct = None
+        self._power_source = source
+        self._ffmpeg_io_start = self._read_ffmpeg_io_totals()
+        self._ffmpeg_io_end = None
+        self._ffmpeg_cpu_time_start = self._read_ffmpeg_cpu_time()
+        self._ffmpeg_cpu_time_end = None
+
+        if _ensure_nvml():
+            try:
+                self._gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(0)
+            except Exception:
+                self._gpu_handle = None
+        else:
+            self._gpu_handle = None
+
+        # Prime psutil so the first real sample isn't always 0
+        try:
+            psutil.cpu_percent(interval=None)
+        except Exception:
+            pass
+        for proc in self._collect_process_tree():
+            try:
+                proc.cpu_percent(interval=None)
+            except Exception:
+                continue
+
+        self._thread = threading.Thread(target=self._sample_loop, daemon=True)
+        self._thread.start()
+
+    def stop(self) -> HardwareMetrics:
+        self._stop_event.set()
+        if self._thread is not None:
+            self._thread.join(timeout=5.0)
+            self._thread = None
+        self._end_ts = time.time()
+        self._ffmpeg_io_end = self._read_ffmpeg_io_totals()
+        self._ffmpeg_cpu_time_end = self._read_ffmpeg_cpu_time()
+        self._battery_end_pct, source = self._read_battery_state()
+        if source:
+            self._power_source = source
+        return self._aggregate()
+
+    # -- internal -----------------------------------------------------------
+
+    def _sample_loop(self) -> None:
+        while not self._stop_event.is_set():
+            self._take_sample()
+            self._stop_event.wait(self._interval)
+
+    def _take_sample(self) -> None:
+        self._sample_gpu()
+        self._sample_cpu()
+        self._sample_ffmpeg_process()
+        self._sample_memory()
+
+    def _sample_gpu(self) -> None:
+        if self._gpu_handle is not None:
+            try:
+                util = pynvml.nvmlDeviceGetUtilizationRates(self._gpu_handle)
+                power_w: Optional[float] = None
+                try:
+                    power_w = float(pynvml.nvmlDeviceGetPowerUsage(self._gpu_handle)) / 1000.0
+                except Exception:
+                    power_w = None
+                mem_used_mb: Optional[float] = None
+                try:
+                    mem_info = pynvml.nvmlDeviceGetMemoryInfo(self._gpu_handle)
+                    mem_used_mb = float(mem_info.used) / (1024 * 1024)
+                except Exception:
+                    mem_used_mb = None
+                temp_c: Optional[float] = None
+                try:
+                    temp_c = float(
+                        pynvml.nvmlDeviceGetTemperature(
+                            self._gpu_handle, pynvml.NVML_TEMPERATURE_GPU
+                        )
+                    )
+                except Exception:
+                    temp_c = None
+                with self._lock:
+                    self._gpu_samples.append(
+                        _GpuSample(
+                            util_pct=float(util.gpu),
+                            power_w=power_w,
+                            mem_used_mb=mem_used_mb,
+                            temp_c=temp_c,
+                        )
+                    )
+                return
+            except Exception:
+                pass
+
+        # Fallback path for non-NVML systems (best-effort only)
+        if not _GPUTIL_AVAILABLE:
+            return
+        try:
+            gpus = GPUtil.getGPUs()  # type: ignore[attr-defined]
+            if not gpus:
+                return
+            g = gpus[0]
+            util_raw = getattr(g, 'load', None)
+            util_pct = float(util_raw) * 100.0 if isinstance(util_raw, (int, float)) else None
+            mem_raw = getattr(g, 'memoryUsed', None)
+            mem_used_mb = float(mem_raw) if isinstance(mem_raw, (int, float)) else None
+            power_raw = getattr(g, 'powerDraw', None)
+            power_w = float(power_raw) if isinstance(power_raw, (int, float)) and power_raw >= 0 else None
+            temp_raw = getattr(g, 'temperature', None)
+            temp_c = float(temp_raw) if isinstance(temp_raw, (int, float)) and temp_raw >= 0 else None
+            with self._lock:
+                self._gpu_samples.append(
+                    _GpuSample(
+                        util_pct=util_pct,
+                        power_w=power_w,
+                        mem_used_mb=mem_used_mb,
+                        temp_c=temp_c,
+                    )
+                )
+        except Exception:
+            pass
+
+    def _sample_cpu(self) -> None:
+        try:
+            overall = psutil.cpu_percent(interval=None)
+            freq: Optional[float] = None
+            try:
+                f = psutil.cpu_freq()
+                if f and f.current and f.current > 0:
+                    freq = float(f.current)
+            except Exception:
+                pass
+            temp: Optional[float] = None
+            try:
+                temps = psutil.sensors_temperatures()
+                if temps:
+                    for name in ('coretemp', 'k10temp', 'cpu_thermal',
+                                 'cpu-thermal', 'acpitz'):
+                        if name in temps and temps[name]:
+                            readings = [e.current for e in temps[name]
+                                        if e.current and e.current > 0]
+                            if readings:
+                                temp = max(readings)
+                                break
+            except Exception:
+                pass
+            sample = _CpuSample(overall_pct=float(overall), freq_mhz=freq,
+                                temp_c=temp)
+            with self._lock:
+                self._cpu_samples.append(sample)
+        except Exception:
+            pass
+
+    def _sample_ffmpeg_process(self) -> None:
+        total_pct = 0.0
+        any_sample = False
+        for proc in self._collect_process_tree():
+            try:
+                pct = proc.cpu_percent(interval=None)
+                if pct >= 0:
+                    total_pct += float(pct)
+                    any_sample = True
+            except (psutil.NoSuchProcess, psutil.AccessDenied):
+                continue
+            except Exception:
+                continue
+        if any_sample:
+            with self._lock:
+                self._proc_samples.append(_ProcSample(cpu_pct=total_pct))
+
+    def _sample_memory(self) -> None:
+        rss = 0.0
+        any_sample = False
+        for proc in self._collect_process_tree():
+            try:
+                rss += float(proc.memory_info().rss)
+                any_sample = True
+            except (psutil.NoSuchProcess, psutil.AccessDenied):
+                continue
+            except Exception:
+                continue
+        if any_sample:
+            with self._lock:
+                if rss > self._memory_peak_bytes:
+                    self._memory_peak_bytes = rss
+
+    def _aggregate(self) -> HardwareMetrics:
+        m = HardwareMetrics()
+
+        with self._lock:
+            gpu = list(self._gpu_samples)
+            cpu = list(self._cpu_samples)
+            proc = list(self._proc_samples)
+            peak_mem = self._memory_peak_bytes
+
+        # GPU metrics
+        if gpu:
+            util_vals = [float(s.util_pct) for s in gpu if s.util_pct is not None]
+            if util_vals:
+                m.gpu_util_avg = sum(util_vals) / len(util_vals)
+            power_vals = [float(s.power_w) for s in gpu if s.power_w is not None and s.power_w >= 0]
+            if power_vals:
+                m.gpu_power_avg_w = sum(power_vals) / len(power_vals)
+            mem_vals = [float(s.mem_used_mb) for s in gpu if s.mem_used_mb is not None and s.mem_used_mb >= 0]
+            if mem_vals:
+                m.gpu_mem_peak_mb = max(mem_vals)
+            gpu_temps = [float(s.temp_c) for s in gpu if s.temp_c is not None and s.temp_c > 0]
+            if gpu_temps:
+                m.gpu_temp_max_c = max(gpu_temps)
+
+        # CPU metrics
+        if cpu:
+            vals = [s.overall_pct for s in cpu]
+            m.cpu_util_avg = sum(vals) / len(vals)
+            m.cpu_util_max = max(vals)
+            freq_vals = [float(s.freq_mhz) for s in cpu if s.freq_mhz and s.freq_mhz > 0]
+            if freq_vals:
+                m.cpu_freq_avg_mhz = sum(freq_vals) / len(freq_vals)
+            cpu_temps = [float(s.temp_c) for s in cpu if s.temp_c and s.temp_c > 0]
+            if cpu_temps:
+                m.cpu_temp_max_c = max(cpu_temps)
+
+        # FFmpeg process metrics
+        if proc:
+            vals = [s.cpu_pct for s in proc]
+            m.ffmpeg_cpu_util_avg = sum(vals) / len(vals)
+            m.ffmpeg_cpu_util_max = max(vals)
+
+        # Memory
+        if peak_mem > 0:
+            m.peak_memory_mb = peak_mem / (1024 * 1024)
+
+        # Process I/O deltas
+        if self._ffmpeg_io_start and self._ffmpeg_io_end:
+            read_delta = max(0.0, self._ffmpeg_io_end[0] - self._ffmpeg_io_start[0])
+            write_delta = max(0.0, self._ffmpeg_io_end[1] - self._ffmpeg_io_start[1])
+            m.ffmpeg_read_mb = read_delta / (1024 * 1024)
+            m.ffmpeg_write_mb = write_delta / (1024 * 1024)
+
+        # Process CPU-time delta
+        if self._ffmpeg_cpu_time_start is not None and self._ffmpeg_cpu_time_end is not None:
+            m.ffmpeg_cpu_time_s = max(0.0, self._ffmpeg_cpu_time_end - self._ffmpeg_cpu_time_start)
+
+        # Power source / battery metrics
+        m.battery_percent_start = self._battery_start_pct
+        m.battery_percent_end = self._battery_end_pct
+        if self._battery_start_pct is not None and self._battery_end_pct is not None:
+            m.battery_percent_drop = max(0.0, self._battery_start_pct - self._battery_end_pct)
+        m.power_source = self._power_source
+
+        # Sampling stats
+        m.sample_count = max(len(cpu), len(gpu), len(proc))
+        if self._start_ts > 0 and self._end_ts >= self._start_ts:
+            m.monitor_duration_ms = int(round((self._end_ts - self._start_ts) * 1000.0))
+
+        # Thermal throttling detection
+        m.thermal_throttle = self._detect_throttle(gpu, cpu)
+
+        return m
+
+    def _detect_throttle(self, gpu: List[_GpuSample],
+                         cpu: List[_CpuSample]) -> Optional[bool]:
+        """Heuristic throttle detection based on frequency drop and temperature."""
+        throttled = False
+
+        # CPU frequency-based detection: compare first 25% avg vs last 25%
+        freq_samples = [s.freq_mhz for s in cpu if s.freq_mhz and s.freq_mhz > 0]
+        if len(freq_samples) >= 8:
+            q = max(1, len(freq_samples) // 4)
+            early = sum(freq_samples[:q]) / q
+            late = sum(freq_samples[-q:]) / q
+            if early > 0 and (early - late) / early > 0.15:
+                throttled = True
+
+        # CPU temperature threshold
+        cpu_temps = [s.temp_c for s in cpu if s.temp_c and s.temp_c > 0]
+        if cpu_temps and max(cpu_temps) >= 95.0:
+            throttled = True
+
+        # GPU temperature threshold
+        gpu_temps = [s.temp_c for s in gpu if s.temp_c and s.temp_c > 0]
+        if gpu_temps and max(gpu_temps) >= 90.0:
+            throttled = True
+
+        if not freq_samples and not cpu_temps and not gpu_temps:
+            return None
+
+        return throttled
+
+    def _collect_process_tree(self) -> List[psutil.Process]:
+        pid = self._ffmpeg_pid
+        if pid is None:
+            return []
+        try:
+            root = psutil.Process(pid)
+        except (psutil.NoSuchProcess, psutil.AccessDenied):
+            return []
+        except Exception:
+            return []
+        procs = [root]
+        try:
+            procs.extend(root.children(recursive=True))
+        except Exception:
+            pass
+        return procs
+
+    def _read_ffmpeg_io_totals(self) -> Optional[Tuple[float, float]]:
+        read_total = 0.0
+        write_total = 0.0
+        any_sample = False
+        for proc in self._collect_process_tree():
+            try:
+                io = proc.io_counters()
+                read_total += float(getattr(io, 'read_bytes', 0.0) or 0.0)
+                write_total += float(getattr(io, 'write_bytes', 0.0) or 0.0)
+                any_sample = True
+            except (psutil.NoSuchProcess, psutil.AccessDenied, AttributeError):
+                continue
+            except Exception:
+                continue
+        if not any_sample:
+            return None
+        return (read_total, write_total)
+
+    def _read_ffmpeg_cpu_time(self) -> Optional[float]:
+        cpu_time_s = 0.0
+        any_sample = False
+        for proc in self._collect_process_tree():
+            try:
+                t = proc.cpu_times()
+                cpu_time_s += float(getattr(t, 'user', 0.0) or 0.0)
+                cpu_time_s += float(getattr(t, 'system', 0.0) or 0.0)
+                any_sample = True
+            except (psutil.NoSuchProcess, psutil.AccessDenied, AttributeError):
+                continue
+            except Exception:
+                continue
+        if not any_sample:
+            return None
+        return cpu_time_s
+
+    def _read_battery_state(self) -> Tuple[Optional[float], Optional[str]]:
+        try:
+            b = psutil.sensors_battery()
+            if b is None:
+                return (None, None)
+            pct = float(b.percent) if b.percent is not None else None
+            source = "ac" if bool(b.power_plugged) else "battery"
+            return (pct, source)
+        except Exception:
+            return (None, None)
diff --git a/client/main.py b/client/main.py
index cbd4092..42211a4 100644
--- a/client/main.py
+++ b/client/main.py
@@ -31,23 +31,73 @@
     normalize_codec_family, pick_software_encoder_for_family,
     discover_hardware_encoders_for_family, list_all_available_encoders,
     enumerate_supported_presets_for_encoder, sort_presets_by_speed_desc,
-    get_encoder_friendly_label,
+    get_encoder_friendly_label, is_hardware_encoder_name, is_hardware_encoder_usable,
     SOFTWARE_ENCODERS_ORDER, HARDWARE_ENCODERS,
 )
 from .ffmpeg import (
     run_ffmpeg_test, encode_to_artifact, compute_vmaf_parallel,
+    compute_metrics_parallel, encode_to_artifact_twopass,
+    scale_video, RESOLUTION_DIMENSIONS, TWOPASS_BITRATE_TARGETS,
+    EXTENDED_TELEMETRY_KEYS,
     run_single_benchmark, sha256_of_file, verify_sample_video,
     load_presets_config, get_default_sample_path,
 )
+from .test_videos import (
+    CONTENT_CLASSES, CONTENT_CLASS_LABELS, RESOLUTION_ORDER,
+    ensure_test_videos, get_video_path, available_content_classes,
+)
 from .network import submit, fetch_baseline_rows
 from .stats import should_skip_submission
 from .ui import (
     prompt_yes_no, prompt_choice, prompt_text,
     _clear_screen, confirm_benchmark_readiness,
-    print_end_screen,
+    print_end_screen, print_benchmark_result,
+    BenchmarkProgress, BatchRunDashboard,
+    print_info, print_success, print_warning, print_batch_summary,
 )
 
 
+def _resolve_input_for_task(
+    t: Dict[str, Any], default_input: str, batch_dir: str,
+) -> Tuple[str, str]:
+    """Return (effective_input_path, input_hash) for a task, scaling resolution if needed."""
+    content_class = t.get('contentClass', 'mixed')
+    resolution = t.get('resolution', '1080p')
+
+    video_path = get_video_path(str(content_class), str(resolution))
+    if not video_path:
+        video_path = get_video_path(str(content_class))
+    if not video_path:
+        video_path = default_input
+
+    target_dims = RESOLUTION_DIMENSIONS.get(str(resolution))
+    if target_dims and str(resolution) != '1080p' and video_path == default_input:
+        scaled_name = f"scaled_{resolution}.mp4"
+        scaled_path = os.path.join(batch_dir, scaled_name)
+        if not os.path.exists(scaled_path):
+            print(f"  Scaling source to {resolution}...")
+            ok = scale_video(video_path, str(resolution), scaled_path)
+            if ok:
+                video_path = scaled_path
+            else:
+                print(f"  Warning: scaling to {resolution} failed, using original", file=sys.stderr)
+
+    return video_path, sha256_of_file(video_path)
+
+
+def _infer_encoder_family(encoder: str) -> Optional[str]:
+    e = (encoder or "").strip().lower()
+    if "h264" in e:
+        return "h264"
+    if "hevc" in e or "h265" in e:
+        return "hevc"
+    if "av1" in e:
+        return "av1"
+    if "vp9" in e:
+        return "vp9"
+    return None
+
+
 def run_benchmark_batch(*, hardware: HardwareInfo, base_url: str, args: argparse.Namespace, tasks: List[Dict[str, Any]]) -> int:
     ok, ffmpeg_version = ensure_ffmpeg_and_ffprobe()
     if not ok:
@@ -68,106 +118,303 @@ def run_benchmark_batch(*, hardware: HardwareInfo, base_url: str, args: argparse
             file=sys.stderr,
         )
         return 6
-    input_hash = sha256_of_file(input_path)
+    default_input_hash = sha256_of_file(input_path)
     client_version = "client/0.1.0"
     workers = resolve_batch_size(getattr(args, 'batch_size', 0))
+    chunk_size = max(1, workers)
+    total_tasks = len(tasks)
+    total_batches = (total_tasks + chunk_size - 1) // chunk_size if total_tasks > 0 else 0
+    run_started_at = time.time()
+    baseline_rows: List[Dict[str, Any]] = []
     if not getattr(args, 'no_submit', False):
-        _ = fetch_baseline_rows(base_url)
+        baseline_rows = fetch_baseline_rows(base_url)
+
+    needed_cc = set()
+    needed_res = set()
+    for t in tasks:
+        cc = t.get('contentClass', 'mixed')
+        res = t.get('resolution', '1080p')
+        if cc != 'mixed':
+            needed_cc.add(cc)
+        if res != '1080p':
+            needed_res.add(res)
+    if needed_cc or needed_res:
+        ensure_test_videos(list(needed_cc) if needed_cc else None, list(needed_res) if needed_res else None)
 
     completed_count_local = 0
-    total_tasks = len(tasks)
     processed_total = 0
-    for i in range(0, len(tasks), max(1, workers)):
-        chunk = tasks[i:i + max(1, workers)]
-        with tempfile.TemporaryDirectory() as batch_dir:
-            artifacts_info: List[Dict[str, Any]] = []
-            print(f"Encoding batch {i//max(1,workers)+1}: {len(chunk)} task(s) → {batch_dir}")
-            for idx, t in enumerate(chunk, start=1):
-                enc = t['encoder']
-                preset = t['preset']
-                crf = t.get('crf')
-                bg_load = measure_background_cpu_load(3.0, 0.5)
-                name = f"{enc.replace('/', '_')}-{preset}-{str(crf) if crf is not None else 'none'}-{idx}.mp4"
-                global_index = processed_total + idx
-                try:
-                    overall_pct = ((global_index - 1) / max(1, total_tasks)) * 100.0
-                except Exception:
-                    overall_pct = 0.0
-                print(f"  - Encoding {idx}/{len(chunk)} in batch | Overall {global_index-1}/{total_tasks} ({overall_pct:.0f}%) → {enc} {preset} crf={crf}")
-                info = encode_to_artifact(input_path=input_path, encoder=enc, preset=preset, crf=crf, out_dir=batch_dir, artifact_name=name)
-                info['backgroundCpuPct'] = float(bg_load)
-                info['task'] = t
-                artifacts_info.append(info)
-            apaths = [x['artifactPath'] for x in artifacts_info]
-            vmaf_map = compute_vmaf_parallel(input_path, apaths, workers)
-            baseline_rows = fetch_baseline_rows(base_url)
-            for info in artifacts_info:
-                t = info['task']
-                payload: Dict[str, Any] = {
-                    'cpuModel': hardware.cpuModel,
-                    'gpuModel': hardware.gpuModel or "",
-                    'ramGB': hardware.ramGB,
-                    'os': hardware.os,
-                    'codec': info.get('encoderUsed') or t['encoder'],
-                    'preset': t['preset'],
-                    'crf': t.get('crf'),
-                    'fps': float(info.get('fps') or 0.0),
-                    'fileSizeBytes': int(info.get('fileSizeBytes') or 0),
-                    'runMs': int(info.get('elapsedMs') or 0),
-                    'ffmpegVersion': ffmpeg_version,
-                    'encoderName': info.get('encoderUsed') or t['encoder'],
-                    'clientVersion': client_version,
-                    'inputHash': input_hash,
-                }
-                vmaf_score = vmaf_map.get(info['artifactPath'])
-                if vmaf_score is not None:
-                    payload['vmaf'] = float(vmaf_score)
-                if info.get('error'):
-                    payload['notes'] = str(info['error'])[:500]
-                skip, reason = should_skip_submission(hardware=hardware, payload=payload, background_cpu_pct=float(info.get('backgroundCpuPct') or 0.0), baseline_rows=baseline_rows)
-                if skip:
-                    print(f"Skipped submission for {payload['codec']} {payload['preset']} (reason: {reason})")
-                    if not args.no_submit:
-                        try:
-                            fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-skipped-{payload['preset']}.json")
-                            payload_to_save = dict(payload)
-                            if reason:
+    pre_batch_bg_load = measure_background_cpu_load(3.0, 0.5)
+    submitted_count = 0
+    skipped_count = 0
+    queued_count = 0
+    failed_count = 0
+
+    def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") -> str:
+        label = f"{codec} {preset}".strip()
+        stats = f"ok={submitted_count} skip={skipped_count} queue={queued_count} fail={failed_count}"
+        total = max(1, total_tasks)
+        if label:
+            return f"{stage} {index}/{total}: {label} | {stats}"
+        return f"{stage} {index}/{total} | {stats}"
+
+    try:
+        with BatchRunDashboard(total_tasks=total_tasks, total_batches=total_batches, hardware=hardware) as progress:
+            for i in range(0, len(tasks), chunk_size):
+                chunk = tasks[i:i + chunk_size]
+                batch_no = (i // chunk_size) + 1
+                with tempfile.TemporaryDirectory() as batch_dir:
+                    artifacts_info: List[Dict[str, Any]] = []
+                    print_info(f"Batch {batch_no}/{total_batches}: {len(chunk)} task(s)")
+                    progress.start_batch(batch_no=batch_no, batch_size=len(chunk))
+                    progress.set_description(_batch_status(f"Batch {batch_no}/{total_batches} preparing", processed_total + 1))
+
+                    for idx, t in enumerate(chunk, start=1):
+                        enc = t['encoder']
+                        preset = t['preset']
+                        crf = t.get('crf')
+                        passes = t.get('passes', 1)
+                        content_class = t.get('contentClass', 'mixed')
+                        resolution = t.get('resolution', '1080p')
+                        bg_load = pre_batch_bg_load
+                        name = f"{enc.replace('/', '_')}-{preset}-{str(crf) if crf is not None else 'none'}-{idx}.mp4"
+                        global_index = processed_total + idx
+                        label_parts = [enc, preset, f"crf={crf}"]
+                        if content_class != 'mixed':
+                            label_parts.append(f"content={content_class}")
+                        if resolution != '1080p':
+                            label_parts.append(f"res={resolution}")
+                        if passes == 2:
+                            label_parts.append("2-pass")
+                        progress.set_description(_batch_status("Encoding", global_index, enc, preset) + f" [{', '.join(label_parts)}]")
+                        progress.set_current_test(
+                            stage="Encoding",
+                            encoder=enc,
+                            preset=preset,
+                            crf=crf,
+                            passes=passes,
+                            contentClass=content_class,
+                            resolution=resolution,
+                            isHardware=is_hardware_encoder_name(enc),
+                        )
+                        effective_input, input_hash = _resolve_input_for_task(t, input_path, batch_dir)
+
+                        if passes == 2:
+                            bitrate = TWOPASS_BITRATE_TARGETS.get(str(resolution), '6000k')
+                            info = encode_to_artifact_twopass(
+                                input_path=effective_input, encoder=enc, preset=preset,
+                                bitrate=bitrate, out_dir=batch_dir, artifact_name=name,
+                            )
+                        else:
+                            info = encode_to_artifact(
+                                input_path=effective_input,
+                                encoder=enc,
+                                preset=preset,
+                                crf=crf,
+                                out_dir=batch_dir,
+                                artifact_name=name,
+                            )
+
+                        info['backgroundCpuPct'] = float(bg_load)
+                        info['task'] = t
+                        info['_input_hash'] = input_hash
+                        info['_effective_input'] = effective_input
+                        final_encoder = str(info.get('encoderUsed') or enc)
+                        progress.set_current_test(
+                            stage="Encoded",
+                            encoder=final_encoder,
+                            preset=preset,
+                            crf=crf,
+                            passes=passes,
+                            contentClass=content_class,
+                            resolution=resolution,
+                            isHardware=is_hardware_encoder_name(final_encoder),
+                        )
+                        progress.update_machine_metrics(info)
+                        artifacts_info.append(info)
+                        progress.advance_phase(
+                            description=_batch_status("Encoded", processed_total + idx, final_encoder, preset),
+                        )
+
+                    for metric_idx, info in enumerate(artifacts_info, start=1):
+                        effective_input = info.get('_effective_input', input_path)
+                        ap = info['artifactPath']
+                        metric_index = processed_total + metric_idx
+                        progress.set_current_test(
+                            stage="Metrics",
+                            encoder=str(info.get('encoderUsed') or info['task']['encoder']),
+                            preset=str(info['task']['preset']),
+                            crf=info['task'].get('crf'),
+                            passes=info['task'].get('passes', 1),
+                            contentClass=info['task'].get('contentClass', 'mixed'),
+                            resolution=info['task'].get('resolution', '1080p'),
+                            isHardware=is_hardware_encoder_name(str(info.get('encoderUsed') or info['task']['encoder'])),
+                        )
+                        if info.get('error') is None and float(info.get('fps', 0.0)) > 0:
+                            progress.set_description(
+                                _batch_status(
+                                    "Metrics", metric_index,
+                                    str(info.get('encoderUsed') or info['task']['encoder']),
+                                    str(info['task']['preset']),
+                                )
+                            )
+                            metrics = compute_metrics_parallel(effective_input, [ap], workers, quiet=True)
+                            info['_metrics'] = metrics.get(ap, {})
+                        else:
+                            info['_metrics'] = {}
+                        progress.advance_phase(
+                            description=_batch_status(
+                                "Metrics done",
+                                metric_index,
+                                str(info.get('encoderUsed') or info['task']['encoder']),
+                                str(info['task']['preset']),
+                            ),
+                        )
+
+                    for info in artifacts_info:
+                        t = info['task']
+                        input_hash = info.get('_input_hash', default_input_hash)
+                        payload: Dict[str, Any] = {
+                            'cpuModel': hardware.cpuModel,
+                            'gpuModel': hardware.gpuModel or "",
+                            'ramGB': hardware.ramGB,
+                            'os': hardware.os,
+                            'codec': info.get('encoderUsed') or t['encoder'],
+                            'preset': t['preset'],
+                            'crf': t.get('crf'),
+                            'contentClass': t.get('contentClass', 'mixed'),
+                            'resolution': t.get('resolution', '1080p'),
+                            'passes': t.get('passes', 1),
+                            'fps': float(info.get('fps') or 0.0),
+                            'fileSizeBytes': int(info.get('fileSizeBytes') or 0),
+                            'runMs': int(info.get('elapsedMs') or 0),
+                            'ffmpegVersion': ffmpeg_version,
+                            'encoderName': info.get('encoderUsed') or t['encoder'],
+                            'clientVersion': client_version,
+                            'inputHash': input_hash,
+                        }
+                        artifact_metrics = info.get('_metrics', {})
+                        vmaf_score = artifact_metrics.get('vmaf')
+                        if vmaf_score is not None:
+                            payload['vmaf'] = float(vmaf_score)
+                        ssim_score = artifact_metrics.get('ssim')
+                        if ssim_score is not None:
+                            payload['ssim'] = float(ssim_score)
+                        psnr_score = artifact_metrics.get('psnr')
+                        if psnr_score is not None:
+                            payload['psnr'] = float(psnr_score)
+
+                        for hw_key in ('gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
+                                       'cpuUtilAvg', 'cpuUtilMax', 'peakMemoryMB', 'thermalThrottle'):
+                            if info.get(hw_key) is not None:
+                                payload[hw_key] = info[hw_key]
+                        for hw_key in EXTENDED_TELEMETRY_KEYS:
+                            if info.get(hw_key) is not None:
+                                payload[hw_key] = info[hw_key]
+
+                        note_parts: List[str] = []
+                        if info.get('error'):
+                            note_parts.append(str(info['error']).strip())
+                        if info.get('telemetryNote'):
+                            note_parts.append(str(info['telemetryNote']).strip())
+                        if note_parts:
+                            payload['notes'] = "; ".join(note_parts)[:3500]
+
+                        skip, reason = should_skip_submission(
+                            hardware=hardware,
+                            payload=payload,
+                            background_cpu_pct=float(info.get('backgroundCpuPct') or 0.0),
+                            baseline_rows=baseline_rows,
+                        )
+                        next_index = processed_total + 1
+                        progress.set_description(_batch_status("Submitting", next_index, str(payload['codec']), str(payload['preset'])))
+                        progress.set_current_test(
+                            stage="Submitting",
+                            encoder=str(payload['codec']),
+                            preset=str(payload['preset']),
+                            crf=payload.get('crf'),
+                            passes=payload.get('passes', 1),
+                            contentClass=payload.get('contentClass', 'mixed'),
+                            resolution=payload.get('resolution', '1080p'),
+                            isHardware=is_hardware_encoder_name(str(payload['codec'])),
+                        )
+                        if skip:
+                            print_warning(f"Skipped submission for {payload['codec']} {payload['preset']} (reason: {reason})")
+                            skipped_count += 1
+                            if not args.no_submit:
                                 try:
-                                    payload_to_save['notes'] = ((payload_to_save.get('notes') or '') + f"; {reason}")[:500]
-                                except Exception:
-                                    pass
-                            with open(fname, 'w', encoding='utf-8') as fh:
-                                json.dump(sanitize_payload_for_server(payload_to_save), fh, separators=(',', ':'))
-                            print(f"Queued skipped payload for review: {fname}")
-                        except Exception as qe:
-                            print(f"Failed to queue skipped payload: {qe}", file=sys.stderr)
-                    continue
-                if args.no_submit:
-                    print(f"Dry-run: not submitting {payload['codec']} {payload['preset']}")
-                else:
-                    try:
-                        submit(base_url, sanitize_payload_for_server(payload), api_key=args.api_key, retries=max(1, args.retries), use_token=config._env_flag('INGEST_USE_TOKENS', False) or bool(getattr(args, 'use_token', False)))
-                        print("Submitted Results")
-                    except Exception as e:
-                        print(f"Failed to submit {payload['preset']}: {e}", file=sys.stderr)
-                        try:
-                            fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-{payload['preset']}.json")
-                            with open(fname, 'w', encoding='utf-8') as fh:
-                                json.dump(sanitize_payload_for_server(payload), fh, separators=(',', ':'))
-                            print(f"Queued for retry: {fname}")
-                        except Exception as qe:
-                            print(f"Failed to queue payload: {qe}", file=sys.stderr)
-                if float(payload.get('fps', 0.0)) > 0.0 and int(payload.get('fileSizeBytes', 0)) > 0:
-                    completed_count_local += 1
-                    if config._BATCH_ACTIVE:
-                        with config._GLOBAL_STATE_LOCK:
-                            config._BATCH_COMPLETED_COUNT += 1
-                processed_total += 1
-                try:
-                    overall_pct = (processed_total / max(1, total_tasks)) * 100.0
-                except Exception:
-                    overall_pct = 100.0
-                print(f"Progress: {processed_total}/{total_tasks} ({overall_pct:.0f}%) complete\n")
+                                    fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-skipped-{payload['preset']}.json")
+                                    payload_to_save = dict(payload)
+                                    if reason:
+                                        try:
+                                            payload_to_save['notes'] = ((payload_to_save.get('notes') or '') + f"; {reason}")[:3500]
+                                        except Exception:
+                                            pass
+                                    with open(fname, 'w', encoding='utf-8') as fh:
+                                        json.dump(sanitize_payload_for_server(payload_to_save), fh, separators=(',', ':'))
+                                    queued_count += 1
+                                except Exception as qe:
+                                    print(f"Failed to queue skipped payload: {qe}", file=sys.stderr)
+                                    failed_count += 1
+                            progress.update_counters(
+                                submitted=submitted_count, skipped=skipped_count,
+                                queued=queued_count, failed=failed_count,
+                            )
+                        elif args.no_submit:
+                            progress.set_description(_batch_status("Dry-run", next_index, str(payload['codec']), str(payload['preset'])))
+                            progress.update_counters(
+                                submitted=submitted_count, skipped=skipped_count,
+                                queued=queued_count, failed=failed_count,
+                            )
+                        else:
+                            try:
+                                submit(
+                                    base_url,
+                                    sanitize_payload_for_server(payload),
+                                    api_key=args.api_key,
+                                    retries=max(1, args.retries),
+                                    use_token=config._env_flag('INGEST_USE_TOKENS', False) or bool(getattr(args, 'use_token', False)),
+                                )
+                                submitted_count += 1
+                            except Exception as e:
+                                print(f"Failed to submit {payload['preset']}: {e}", file=sys.stderr)
+                                try:
+                                    fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-{payload['preset']}.json")
+                                    with open(fname, 'w', encoding='utf-8') as fh:
+                                        json.dump(sanitize_payload_for_server(payload), fh, separators=(',', ':'))
+                                    queued_count += 1
+                                except Exception as qe:
+                                    print(f"Failed to queue payload: {qe}", file=sys.stderr)
+                                    failed_count += 1
+                            progress.update_counters(
+                                submitted=submitted_count, skipped=skipped_count,
+                                queued=queued_count, failed=failed_count,
+                            )
+
+                        if float(payload.get('fps', 0.0)) > 0.0 and int(payload.get('fileSizeBytes', 0)) > 0:
+                            completed_count_local += 1
+                            if config._BATCH_ACTIVE:
+                                with config._GLOBAL_STATE_LOCK:
+                                    config._BATCH_COMPLETED_COUNT += 1
+
+                        processed_total += 1
+                        progress.advance(description=_batch_status("Completed", processed_total, str(payload['codec']), str(payload['preset'])))
+    except KeyboardInterrupt:
+        print_warning("Batch run interrupted by user.")
+        return 130
+
+    elapsed_seconds = max(0.0, time.time() - run_started_at)
+    throughput_per_hour = (completed_count_local / elapsed_seconds * 3600.0) if elapsed_seconds > 0 else 0.0
+    print_batch_summary({
+        "totalTasks": total_tasks,
+        "totalBatches": total_batches,
+        "completed": completed_count_local,
+        "submitted": submitted_count,
+        "skipped": skipped_count,
+        "queued": queued_count,
+        "failed": failed_count,
+        "elapsedSeconds": elapsed_seconds,
+        "throughputPerHour": throughput_per_hour,
+    })
     return 0
 
 
@@ -207,9 +454,11 @@ def run_with_args(args: argparse.Namespace) -> int:
         return 6
 
     resolved_encoder: Optional[str] = None
+    explicit_encoder_selection = False
     user_codec = (args.codec or "").strip()
     if user_codec and has_encoder(user_codec):
         resolved_encoder = user_codec
+        explicit_encoder_selection = True
     else:
         family = normalize_codec_family(user_codec) if user_codec else None
         if not family:
@@ -237,6 +486,28 @@ def run_with_args(args: argparse.Namespace) -> int:
     if not resolved_encoder or not has_encoder(resolved_encoder):
         print("Requested codec/encoder not available in this ffmpeg build.", file=sys.stderr)
         return 4
+    if is_hardware_encoder_name(resolved_encoder) and not is_hardware_encoder_usable(resolved_encoder):
+        if explicit_encoder_selection:
+            print(
+                f"Selected hardware encoder '{resolved_encoder}' may not be usable on this machine. "
+                "Attempting it anyway; software fallback will be used if needed."
+            )
+        else:
+            fam = _infer_encoder_family(resolved_encoder)
+            sw = pick_software_encoder_for_family(fam) if fam else None
+            if sw and has_encoder(sw):
+                print(
+                    f"Selected hardware encoder '{resolved_encoder}' is not usable on this machine. "
+                    f"Using software encoder '{sw}' instead."
+                )
+                resolved_encoder = sw
+            else:
+                print(
+                    f"Selected hardware encoder '{resolved_encoder}' is not usable on this machine, "
+                    "and no software fallback was found.",
+                    file=sys.stderr,
+                )
+                return 4
 
     hardware = detect_hardware()
     input_hash = sha256_of_file(input_path)
@@ -247,7 +518,6 @@ def run_with_args(args: argparse.Namespace) -> int:
     except Exception:
         preset_list = ["fast", "medium", "slow"]
 
-    all_payloads: List[Dict[str, Any]] = []
     base_url = args.base_url
     user_crf: Optional[int] = args.crf
     if preset_list:
@@ -258,67 +528,58 @@ def run_with_args(args: argparse.Namespace) -> int:
     except Exception:
         original_size_bytes = 0
     completed_count = 0
-    for preset, crf_val in combos:
-        print(f"Running Test: {resolved_encoder}, crf={crf_val}, {preset}...")
-        payload = run_single_benchmark(hardware, input_path, preset=preset, codec=resolved_encoder, crf=crf_val)
-        payload["ffmpegVersion"] = ffmpeg_version
-        payload["encoderName"] = payload.get("codec", resolved_encoder)
-        payload["clientVersion"] = client_version
-        payload["inputHash"] = input_hash
-        all_payloads.append(payload)
-        fps_val = payload.get("fps")
-        vmaf_val = payload.get("vmaf")
-        size_val = payload.get("fileSizeBytes")
-        try:
-            rel_size = (float(size_val) / float(original_size_bytes) * 100.0) if original_size_bytes > 0 else None
-        except Exception:
-            rel_size = None
-        print("\n|---------------------------")
-        try:
-            print(f"| FPS: {float(fps_val):.2f}")
-        except Exception:
-            print("| FPS: N/A")
-        print("|---------------------------")
-        if vmaf_val is not None:
+    with BenchmarkProgress(len(combos), title="Single Benchmark Progress") as progress:
+        for preset, crf_val in combos:
+            progress.set_description(f"Running {resolved_encoder} {preset} crf={crf_val}")
+            print_info(f"Running Test: {resolved_encoder}, crf={crf_val}, {preset}...")
+            payload = run_single_benchmark(hardware, input_path, preset=preset, codec=resolved_encoder, crf=crf_val)
+            payload["ffmpegVersion"] = ffmpeg_version
+            payload["encoderName"] = payload.get("codec", resolved_encoder)
+            payload["clientVersion"] = client_version
+            payload["inputHash"] = input_hash
+            payload["contentClass"] = getattr(args, 'content_class', 'mixed') or 'mixed'
+            payload["resolution"] = getattr(args, 'resolution', '1080p') or '1080p'
+            payload["passes"] = getattr(args, 'passes', 1) or 1
+
+            size_val = payload.get("fileSizeBytes")
             try:
-                print(f"| VMAF: {float(vmaf_val):.2f}")
+                rel_size = (float(size_val) / float(original_size_bytes) * 100.0) if original_size_bytes > 0 else None
             except Exception:
-                print("| VMAF: N/A")
-        else:
-            print("| VMAF: N/A")
-        print("|---------------------------")
-        if rel_size is not None:
-            try:
-                print(f"| Relative File Size: {rel_size:.1f}%")
-            except Exception:
-                print("| Relative File Size: N/A")
-        else:
-            print("| Relative File Size: N/A")
-        print("|---------------------------\n")
-        if float(payload.get("fps", 0.0)) > 0.0 and int(payload.get("fileSizeBytes", 0)) > 0:
-            completed_count += 1
-            if config._BATCH_ACTIVE:
-                with config._GLOBAL_STATE_LOCK:
-                    config._BATCH_COMPLETED_COUNT += 1
-        if args.no_submit:
-            print(f"Dry-run: not submitting preset={preset}")
-            continue
-        try:
-            if payload.get("fps", 0.0) <= 0 or payload.get("fileSizeBytes", 0) <= 0:
-                print(f"Skipped submission for preset={preset} due to encode failure (fps={payload.get('fps')}, size={payload.get('fileSizeBytes')})")
-                all_payloads.append({**payload, "localError": True})
+                rel_size = None
+            print_benchmark_result(payload, rel_size)
+
+            if float(payload.get("fps", 0.0)) > 0.0 and int(payload.get("fileSizeBytes", 0)) > 0:
+                completed_count += 1
+                if config._BATCH_ACTIVE:
+                    with config._GLOBAL_STATE_LOCK:
+                        config._BATCH_COMPLETED_COUNT += 1
+
+            if args.no_submit:
+                print_info(f"Dry-run: not submitting preset={preset}")
+                progress.advance(description=f"{preset} (dry-run)")
                 continue
-            submit(base_url, payload, api_key=args.api_key, retries=max(1, args.retries))
-            print("Submitted Results")
-        except Exception as e:
-            print(f"Failed to submit {preset}: {e}", file=sys.stderr)
             try:
-                fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-{preset}.json")
-                with open(fname, "w", encoding="utf-8") as fh:
-                    json.dump(payload, fh, separators=(",", ":"))
-                print(f"Queued for retry: {fname}")
-            except Exception as qe:
-                print(f"Failed to queue payload: {qe}", file=sys.stderr)
+                if payload.get("fps", 0.0) <= 0 or payload.get("fileSizeBytes", 0) <= 0:
+                    print_warning(
+                        f"Skipped submission for preset={preset} due to encode failure "
+                        f"(fps={payload.get('fps')}, size={payload.get('fileSizeBytes')})"
+                    )
+                    progress.advance(description=f"{preset} (failed)")
+                    continue
+                clean_payload = sanitize_payload_for_server(payload)
+                submit(base_url, clean_payload, api_key=args.api_key, retries=max(1, args.retries))
+                print_success("Submitted Results")
+                progress.advance(description=f"{preset} (submitted)")
+            except Exception as e:
+                print(f"Failed to submit {preset}: {e}", file=sys.stderr)
+                try:
+                    fname = os.path.join(args.queue_dir, f"{int(time.time()*1000)}-{preset}.json")
+                    with open(fname, "w", encoding="utf-8") as fh:
+                        json.dump(sanitize_payload_for_server(payload), fh, separators=(",", ":"))
+                    print_info(f"Queued for retry: {fname}")
+                except Exception as qe:
+                    print(f"Failed to queue payload: {qe}", file=sys.stderr)
+                progress.advance(description=f"{preset} (queued)")
 
     try:
         files = sorted([f for f in os.listdir(args.queue_dir) if f.endswith('.json')])
@@ -350,12 +611,11 @@ def run_with_args(args: argparse.Namespace) -> int:
 def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.Namespace) -> int:
     try:
         import subprocess
-        if sys.stdin and sys.stdin.isatty():
+        import shutil
+        if os.name != 'nt' and sys.stdin and sys.stdin.isatty() and shutil.which("stty"):
             subprocess.run(["stty", "sane"], check=False)
     except Exception:
         pass
-    GREEN = "\033[32;1m"
-    RESET = "\033[0m"
     sample_path = get_default_sample_path()
     if not sample_path:
         print("Required test video not found (expected sample.mp4 in project root).", file=sys.stderr)
@@ -368,8 +628,7 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
             file=sys.stderr,
         )
         return 6
-    print(f"Test Video Checksum {GREEN}Verified{RESET}")
-    print("")
+    print_success("Test Video Checksum Verified")
     presets_cfg = load_presets_config(PRESETS_CONFIG_PATH)
     s_minutes = int(presets_cfg.get("smallBenchmark", {}).get("approxMinutes", 5))
     m_hours = int(presets_cfg.get("mediumBenchmark", presets_cfg.get("smallBenchmark", {})).get("approxHours", 3))
@@ -378,7 +637,7 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
         f_hours = int(f_hours) if isinstance(f_hours, int) else float(f_hours)
     except Exception:
         f_hours = 3
-    print("Select an option:")
+    print_info("Select an option:")
     menu = [
         "Run Single Benchmark",
         f"Run Small Benchmark [~{s_minutes} minutes]",
@@ -401,21 +660,17 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
         sw_encs = [e for e in all_encs if e in sw_set]
         hw_encs = [e for e in all_encs if e in hw_set]
 
-        print("Select an encoder:")
+        print_info("Select an encoder:")
         idx_map: List[str] = []
-        counter = 1
+        option_labels: List[str] = []
         if sw_encs:
-            print("------Software------")
             for e in sw_encs:
-                print(f"  {counter}) {get_encoder_friendly_label(e)}")
                 idx_map.append(e)
-                counter += 1
+                option_labels.append(f"Software | {get_encoder_friendly_label(e)}")
         if hw_encs:
-            print("------Hardware------")
             for e in hw_encs:
-                print(f"  {counter}) {get_encoder_friendly_label(e)}")
                 idx_map.append(e)
-                counter += 1
+                option_labels.append(f"Hardware | {get_encoder_friendly_label(e)}")
 
         default_idx = 0
         try:
@@ -423,12 +678,7 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
                 default_idx = idx_map.index("libx264")
         except Exception:
             default_idx = 0
-        raw = input(f"Choose encoder (1-{len(idx_map)}) [default {default_idx+1}]: ").strip()
-        try:
-            enc_idx = (int(raw) - 1) if raw else default_idx
-        except Exception:
-            enc_idx = default_idx
-        enc_idx = min(max(0, enc_idx), len(idx_map)-1)
+        enc_idx = prompt_choice("Choose encoder", option_labels, default_index=default_idx)
         chosen_encoder = idx_map[enc_idx]
 
         try:
@@ -502,40 +752,58 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
             if not crf_values:
                 crf_values = [24]
 
+    bench_key = {1: "smallBenchmark", 2: "mediumBenchmark", 3: "fullBenchmark"}.get(choice, "smallBenchmark")
+    bench_cfg = presets_cfg.get(bench_key, {})
+    content_classes_list: List[str] = bench_cfg.get("contentClasses", ["mixed"])
+    resolutions_list: List[str] = bench_cfg.get("resolutions", ["1080p"])
+    passes_list: List[int] = [int(p) for p in bench_cfg.get("passes", [1])]
+    if not content_classes_list:
+        content_classes_list = ["mixed"]
+    if not resolutions_list:
+        resolutions_list = ["1080p"]
+    if not passes_list:
+        passes_list = [1]
+
     tasks: List[Dict[str, Any]] = []
-    for crf_val in crf_values:
-        for enc in encoders:
-            presets_for_encoder = enumerate_supported_presets_for_encoder(enc)
-            ordered = sort_presets_by_speed_desc(enc, presets_for_encoder)
-            if choice == 1:
-                if not ordered:
-                    continue
-                mid_index = max(0, (len(ordered) - 1) // 2)
-                picks: List[str] = []
-                faster1 = mid_index - 1
-                faster2 = mid_index - 2
-                if faster2 >= 0:
-                    picks.append(ordered[faster2])
-                if faster1 >= 0:
-                    picks.append(ordered[faster1])
-                picks.append(ordered[mid_index])
-                seen: Dict[str, bool] = {}
-                final = [p for p in picks if not seen.setdefault(p, False)]
-                for preset_label in final:
-                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
-            elif choice == 2:
-                if len(ordered) > 0:
-                    drop_count = int(round(len(ordered) * 0.2))
-                    if drop_count >= len(ordered):
-                        drop_count = len(ordered) - 1
-                    keep = ordered[:-drop_count] if drop_count > 0 else ordered
-                else:
-                    keep = ordered
-                for preset_label in keep:
-                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
-            else:
-                for preset_label in ordered:
-                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
+    for content_class in content_classes_list:
+        for resolution in resolutions_list:
+            for num_passes in passes_list:
+                for crf_val in crf_values:
+                    for enc in encoders:
+                        presets_for_encoder = enumerate_supported_presets_for_encoder(enc)
+                        ordered = sort_presets_by_speed_desc(enc, presets_for_encoder)
+                        if choice == 1:
+                            if not ordered:
+                                continue
+                            mid_index = max(0, (len(ordered) - 1) // 2)
+                            picks: List[str] = []
+                            faster1 = mid_index - 1
+                            faster2 = mid_index - 2
+                            if faster2 >= 0:
+                                picks.append(ordered[faster2])
+                            if faster1 >= 0:
+                                picks.append(ordered[faster1])
+                            picks.append(ordered[mid_index])
+                            seen: Dict[str, bool] = {}
+                            final = [p for p in picks if not seen.setdefault(p, False)]
+                            for preset_label in final:
+                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
+                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
+                        elif choice == 2:
+                            if len(ordered) > 0:
+                                drop_count = int(round(len(ordered) * 0.2))
+                                if drop_count >= len(ordered):
+                                    drop_count = len(ordered) - 1
+                                keep = ordered[:-drop_count] if drop_count > 0 else ordered
+                            else:
+                                keep = ordered
+                            for preset_label in keep:
+                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
+                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
+                        else:
+                            for preset_label in ordered:
+                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
+                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
 
     rc = run_benchmark_batch(
         hardware=detect_hardware(),
@@ -578,6 +846,9 @@ def build_arg_parser() -> argparse.ArgumentParser:
     p.add_argument("--batch-size", type=int, default=0, help="Batch size for parallel VMAF (0=auto: cpu_count or 4)")
     p.add_argument("--use-token", action="store_true", help="Use short-lived submit token (opt-in; or set INGEST_USE_TOKENS=1)")
     p.add_argument("--pause-on-exit", action="store_true", help="On Windows, wait for Enter key after completion to keep the window open")
+    p.add_argument("--content-class", default="mixed", choices=CONTENT_CLASSES, help="Content class for the test video (default: mixed)")
+    p.add_argument("--resolution", default="1080p", choices=RESOLUTION_ORDER, help="Target resolution (default: 1080p)")
+    p.add_argument("--passes", type=int, default=1, choices=[1, 2], help="Number of encoding passes (default: 1)")
     return p
 
 
diff --git a/client/network.py b/client/network.py
index 4ca1457..dd99ef9 100644
--- a/client/network.py
+++ b/client/network.py
@@ -122,7 +122,11 @@ def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: i
 def fetch_baseline_rows(base_url: str) -> List[Dict[str, Any]]:
     with config._GLOBAL_STATE_LOCK:
         if config._BASELINE_ROWS_CACHE is not None:
-            return config._BASELINE_ROWS_CACHE
+            elapsed = time.time() - config._BASELINE_ROWS_CACHE_TS
+            if elapsed < config._BASELINE_ROWS_CACHE_TTL:
+                return config._BASELINE_ROWS_CACHE
+            # TTL expired — clear cache and re-fetch
+            config._BASELINE_ROWS_CACHE = None
 
     try:
         import requests  # lazy import
@@ -133,10 +137,12 @@ def fetch_baseline_rows(base_url: str) -> List[Dict[str, Any]]:
             if isinstance(data, list):
                 with config._GLOBAL_STATE_LOCK:
                     config._BASELINE_ROWS_CACHE = data
+                    config._BASELINE_ROWS_CACHE_TS = time.time()
                 return data
     except Exception:
         pass
 
     with config._GLOBAL_STATE_LOCK:
         config._BASELINE_ROWS_CACHE = []
+        config._BASELINE_ROWS_CACHE_TS = time.time()
     return []
diff --git a/client/presets.json b/client/presets.json
index d0a0589..69dd8d2 100644
--- a/client/presets.json
+++ b/client/presets.json
@@ -1,15 +1,25 @@
 {
+  "contentClasses": ["mixed"],
+  "resolutions": ["1080p"],
   "smallBenchmark": {
     "crfValues": [24],
+    "contentClasses": ["mixed"],
+    "resolutions": ["1080p"],
+    "passes": [1],
     "approxMinutes": 15
   },
   "mediumBenchmark": {
     "crfValues": [22, 24, 26],
+    "contentClasses": ["mixed"],
+    "resolutions": ["720p", "1080p"],
+    "passes": [1],
     "approxHours": 3
   },
   "fullBenchmark": {
     "crfValues": [12, 14, 16, 18, 20, 22, 24, 26, 28, 30],
+    "contentClasses": ["mixed", "action", "animation"],
+    "resolutions": ["480p", "720p", "1080p", "1440p"],
+    "passes": [1, 2],
     "approxHours": 240
   }
 }
-
diff --git a/client/requirements.txt b/client/requirements.txt
index 99df9ba..1f76e10 100644
--- a/client/requirements.txt
+++ b/client/requirements.txt
@@ -2,5 +2,7 @@ requests>=2.31.0
 psutil>=5.9.8
 py-cpuinfo>=9.0.0
 GPUtil>=1.4.0
+nvidia-ml-py>=12.0.0
+rich>=13.7.1
 pyinstaller>=6.0.0
 # tqdm removed (unused)
diff --git a/client/stats.py b/client/stats.py
index 8d6aad4..3d8ca5d 100644
--- a/client/stats.py
+++ b/client/stats.py
@@ -50,17 +50,27 @@ def baseline_is_suspect(current: Dict[str, Any], rows: List[Dict[str, Any]]) ->
         fps_arr = [float(r.get('fps') or 0) for r in same if float(r.get('fps') or 0) > 0]
         size_arr = [float(r.get('fileSizeBytes') or 0) for r in same if float(r.get('fileSizeBytes') or 0) > 0]
         vmaf_arr = [float(r.get('vmaf') or 0) for r in same if r.get('vmaf') is not None]
+        ssim_arr = [float(r.get('ssim') or 0) for r in same if r.get('ssim') is not None]
+        psnr_arr = [float(r.get('psnr') or 0) for r in same if r.get('psnr') is not None]
         fps_med = _median(fps_arr) if fps_arr else float(current.get('fps') or 0)
         size_med = _median(size_arr) if size_arr else float(current.get('fileSizeBytes') or 0)
         vmaf_med = _median(vmaf_arr) if vmaf_arr else float(current.get('vmaf') or 0)
+        ssim_med = _median(ssim_arr) if ssim_arr else float(current.get('ssim') or 0)
+        psnr_med = _median(psnr_arr) if psnr_arr else float(current.get('psnr') or 0)
         fps_mad = _mad(fps_arr, fps_med) if fps_arr else 0.0
         size_mad = _mad(size_arr, size_med) if size_arr else 0.0
         vmaf_mad = _mad(vmaf_arr, vmaf_med) if vmaf_arr else 0.0
+        ssim_mad = _mad(ssim_arr, ssim_med) if ssim_arr else 0.0
+        psnr_mad = _mad(psnr_arr, psnr_med) if psnr_arr else 0.0
         fps_z = _robust_z(float(current.get('fps') or 0), fps_med, fps_mad)
         size_z = _robust_z(float(current.get('fileSizeBytes') or 0), size_med, size_mad)
         vmaf_val = current.get('vmaf')
         vmaf_z = _robust_z(float(vmaf_val), vmaf_med, vmaf_mad) if vmaf_val is not None else 0.0
-        max_abs = max(abs(fps_z), abs(size_z), abs(vmaf_z))
+        ssim_val = current.get('ssim')
+        ssim_z = _robust_z(float(ssim_val), ssim_med, ssim_mad) if ssim_val is not None else 0.0
+        psnr_val = current.get('psnr')
+        psnr_z = _robust_z(float(psnr_val), psnr_med, psnr_mad) if psnr_val is not None else 0.0
+        max_abs = max(abs(fps_z), abs(size_z), abs(vmaf_z), abs(ssim_z), abs(psnr_z))
         if max_abs > 3.0:
             return (True, f'baseline_outlier|z={max_abs:.2f}')
         return (False, '')
diff --git a/client/test_videos.py b/client/test_videos.py
new file mode 100644
index 0000000..aafcbe5
--- /dev/null
+++ b/client/test_videos.py
@@ -0,0 +1,249 @@
+"""Test video catalog, download, and caching for multi-content benchmarks (Sprint 5)."""
+
+import hashlib
+import os
+import sys
+from typing import Dict, List, Optional, Tuple
+
+from . import config
+
+CONTENT_CLASSES: List[str] = [
+    "mixed",
+    "talkingHead",
+    "action",
+    "animation",
+    "screen",
+    "nature",
+    "gaming",
+]
+
+CONTENT_CLASS_LABELS: Dict[str, str] = {
+    "mixed": "Mixed (Original)",
+    "talkingHead": "Talking Head",
+    "action": "Action / Sports",
+    "animation": "Animation / Cartoon",
+    "screen": "Screen Recording",
+    "nature": "Nature / Documentary",
+    "gaming": "Gaming",
+}
+
+RESOLUTION_PRESETS: Dict[str, Tuple[int, int]] = {
+    "480p": (854, 480),
+    "720p": (1280, 720),
+    "1080p": (1920, 1080),
+    "1440p": (2560, 1440),
+    "4k": (3840, 2160),
+}
+
+RESOLUTION_ORDER: List[str] = ["480p", "720p", "1080p", "1440p", "4k"]
+
+RELEASES_BASE_URL = (
+    "https://github.com/oliverdougherC/Encoding_Database"
+    "/releases/download/test-clips-v1"
+)
+
+TEST_VIDEO_CATALOG: List[Dict[str, object]] = [
+    {
+        "name": "sample.mp4",
+        "contentClass": "mixed",
+        "resolution": "1080p",
+        "duration": 20.0,
+        "sha256": config.SAMPLE_VIDEO_SHA256,
+        "sizeBytes": config.SAMPLE_VIDEO_SIZE_BYTES,
+    },
+    {
+        "name": "talking_head_1080p.mp4",
+        "contentClass": "talkingHead",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+    {
+        "name": "action_1080p.mp4",
+        "contentClass": "action",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+    {
+        "name": "animation_1080p.mp4",
+        "contentClass": "animation",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+    {
+        "name": "screen_1080p.mp4",
+        "contentClass": "screen",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+    {
+        "name": "nature_1080p.mp4",
+        "contentClass": "nature",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+    {
+        "name": "gaming_1080p.mp4",
+        "contentClass": "gaming",
+        "resolution": "1080p",
+        "duration": 15.0,
+        "sha256": "",
+        "sizeBytes": 0,
+    },
+]
+
+
+def get_cache_dir() -> str:
+    """Return the directory used to cache downloaded test clips."""
+    home = os.path.expanduser("~")
+    cache_dir = os.path.join(home, ".encodingdb", "test-clips")
+    os.makedirs(cache_dir, mode=0o755, exist_ok=True)
+    return cache_dir
+
+
+def _sha256_file(path: str) -> str:
+    hasher = hashlib.sha256()
+    with open(path, "rb") as f:
+        while True:
+            chunk = f.read(1024 * 1024)
+            if not chunk:
+                break
+            hasher.update(chunk)
+    return hasher.hexdigest()
+
+
+def download_test_video(video_meta: Dict[str, object], force: bool = False) -> Optional[str]:
+    """Download a test video from GitHub Releases and verify its SHA256.
+
+    Returns the local file path on success, or None on failure.
+    """
+    name = str(video_meta["name"])
+    sha256 = str(video_meta.get("sha256") or "")
+    size_bytes = int(video_meta.get("sizeBytes") or 0)
+
+    if name == "sample.mp4":
+        from .ffmpeg import get_default_sample_path
+        local = get_default_sample_path()
+        if local and os.path.exists(local):
+            return local
+
+    cache_dir = get_cache_dir()
+    local_path = os.path.join(cache_dir, name)
+
+    if not force and os.path.exists(local_path):
+        if sha256 and _sha256_file(local_path) == sha256.lower():
+            return local_path
+        if not sha256 and os.path.getsize(local_path) > 0:
+            return local_path
+
+    url = f"{RELEASES_BASE_URL}/{name}"
+    print(f"Downloading test clip: {name}...")
+
+    try:
+        import requests  # lazy import
+        resp = requests.get(url, stream=True, timeout=120, verify=config.REQUESTS_VERIFY)
+        resp.raise_for_status()
+
+        total = int(resp.headers.get("content-length", 0))
+        downloaded = 0
+        tmp_path = local_path + ".tmp"
+
+        with open(tmp_path, "wb") as f:
+            for chunk in resp.iter_content(chunk_size=256 * 1024):
+                f.write(chunk)
+                downloaded += len(chunk)
+                if total > 0:
+                    pct = (downloaded / total) * 100
+                    print(f"\r  {downloaded / (1024*1024):.1f} / {total / (1024*1024):.1f} MB ({pct:.0f}%)", end="", flush=True)
+
+        print()
+
+        if sha256:
+            actual = _sha256_file(tmp_path)
+            if actual != sha256.lower():
+                print(f"  SHA256 mismatch for {name}: expected {sha256[:16]}..., got {actual[:16]}...", file=sys.stderr)
+                os.remove(tmp_path)
+                return None
+
+        if size_bytes > 0 and os.path.getsize(tmp_path) != size_bytes:
+            print(f"  Size mismatch for {name}: expected {size_bytes}, got {os.path.getsize(tmp_path)}", file=sys.stderr)
+            os.remove(tmp_path)
+            return None
+
+        os.replace(tmp_path, local_path)
+        print(f"  Cached: {local_path}")
+        return local_path
+
+    except Exception as e:
+        print(f"  Failed to download {name}: {e}", file=sys.stderr)
+        return None
+
+
+def ensure_test_videos(
+    content_classes: Optional[List[str]] = None,
+    resolutions: Optional[List[str]] = None,
+) -> Dict[str, str]:
+    """Download and cache all required test clips.
+
+    Returns a dict mapping "contentClass:resolution" keys to local file paths.
+    """
+    wanted_cc = set(content_classes) if content_classes else {"mixed"}
+    wanted_res = set(resolutions) if resolutions else {"1080p"}
+    result: Dict[str, str] = {}
+
+    for meta in TEST_VIDEO_CATALOG:
+        cc = str(meta["contentClass"])
+        res = str(meta["resolution"])
+        if cc not in wanted_cc:
+            continue
+        if res not in wanted_res:
+            continue
+
+        path = download_test_video(meta)
+        if path:
+            result[f"{cc}:{res}"] = path
+
+    return result
+
+
+def get_video_path(content_class: str, resolution: str = "1080p") -> Optional[str]:
+    """Return the cached path for a specific test video, or None."""
+    cache_key = f"{content_class}:{resolution}"
+
+    if content_class == "mixed" and resolution == "1080p":
+        from .ffmpeg import get_default_sample_path
+        local = get_default_sample_path()
+        if local and os.path.exists(local):
+            return local
+
+    cache_dir = get_cache_dir()
+    for meta in TEST_VIDEO_CATALOG:
+        if str(meta["contentClass"]) == content_class and str(meta["resolution"]) == resolution:
+            name = str(meta["name"])
+            local_path = os.path.join(cache_dir, name)
+            if os.path.exists(local_path):
+                return local_path
+
+    return None
+
+
+def available_content_classes() -> List[str]:
+    """Return content classes that have at least one cached test video locally."""
+    avail: List[str] = []
+    for cc in CONTENT_CLASSES:
+        for meta in TEST_VIDEO_CATALOG:
+            if str(meta["contentClass"]) == cc:
+                path = get_video_path(cc, str(meta["resolution"]))
+                if path:
+                    avail.append(cc)
+                    break
+    return avail
diff --git a/client/ui.py b/client/ui.py
index ad3cffa..1e93710 100644
--- a/client/ui.py
+++ b/client/ui.py
@@ -1,19 +1,160 @@
 import os
 import re
 import shutil
+import signal
 import subprocess
 import sys
-from typing import List
+from typing import Any, Dict, List, Optional
 
-from . import config
+# Palette:
+# Evergreen       #173B34
+# Cornflower Blue #6C8FD5
+# Lavender Grey   #9693CC
+# Ash Grey        #CDDBCD
+# Vanilla Custard #EBE4B3
 
+_RICH_AVAILABLE = False
+_console = None
+_Panel = None
+_Table = None
+_Prompt = None
+_Confirm = None
+_Progress = None
+_SpinnerColumn = None
+_TextColumn = None
+_BarColumn = None
+_TimeElapsedColumn = None
+_TimeRemainingColumn = None
+_Live = None
+_Group = None
+_Columns = None
+_Column = None
 
-def prompt_yes_no(prompt: str, default_no: bool = True) -> bool:
+
+def _env_true(name: str) -> bool:
+    try:
+        return str(os.environ.get(name, "")).strip().lower() in ("1", "true", "yes", "on")
+    except Exception:
+        return False
+
+
+_FORCE_TUI = _env_true("ENCODINGDB_FORCE_TUI") or _env_true("CLIENT_FORCE_TUI")
+_FORCE_TERMINAL: Optional[bool] = True if _FORCE_TUI else None
+
+try:
+    from rich.console import Console
+    from rich.console import Group
+    try:
+        from rich.columns import Columns  # type: ignore
+    except Exception:
+        Columns = None  # type: ignore
+    from rich.live import Live
+    from rich.panel import Panel
+    from rich.progress import (
+        BarColumn,
+        Progress,
+        SpinnerColumn,
+        TextColumn,
+        TimeElapsedColumn,
+        TimeRemainingColumn,
+    )
+    from rich.prompt import Confirm, Prompt
+    from rich.table import Column, Table
+    from rich.theme import Theme
+
+    _theme = Theme({
+        "evergreen": "#173B34",
+        "cornflower": "#6C8FD5",
+        "lavender": "#9693CC",
+        "ash": "#CDDBCD",
+        "vanilla": "#EBE4B3",
+        "title": "bold #EBE4B3 on #173B34",
+        "accent": "bold #6C8FD5",
+        "accent2": "#9693CC",
+        "muted": "#CDDBCD",
+        "ok": "bold #173B34 on #CDDBCD",
+        "warn": "bold #173B34 on #EBE4B3",
+        "bad": "bold #EBE4B3 on #173B34",
+    })
+    try:
+        _console = Console(
+            theme=_theme,
+            highlight=False,
+            soft_wrap=True,
+            force_terminal=_FORCE_TERMINAL,
+            force_interactive=True,
+        )
+    except TypeError:
+        _console = Console(theme=_theme, highlight=False, soft_wrap=True, force_terminal=_FORCE_TERMINAL)
+    _Panel = Panel
+    _Table = Table
+    _Prompt = Prompt
+    _Confirm = Confirm
+    _Progress = Progress
+    _SpinnerColumn = SpinnerColumn
+    _TextColumn = TextColumn
+    _BarColumn = BarColumn
+    _TimeElapsedColumn = TimeElapsedColumn
+    _TimeRemainingColumn = TimeRemainingColumn
+    _Live = Live
+    _Group = Group
+    _Columns = Columns
+    _Column = Column
+    _RICH_AVAILABLE = True
+except Exception:
+    _RICH_AVAILABLE = False
+
+
+def _rich_tty() -> bool:
+    if not (_RICH_AVAILABLE and _console is not None):
+        return False
+    if _FORCE_TUI:
+        return True
+    stdout_tty = bool(sys.stdout and sys.stdout.isatty())
+    stdin_tty = bool(sys.stdin and sys.stdin.isatty())
+    return stdout_tty or stdin_tty
+
+
+def _stty_sane() -> None:
     try:
         if sys.stdin and sys.stdin.isatty():
             subprocess.run(["stty", "sane"], check=False)
     except Exception:
         pass
+
+
+def print_info(message: str) -> None:
+    if _rich_tty():
+        _console.print(f"[accent]•[/accent] [muted]{message}[/muted]")
+    else:
+        print(message)
+
+
+def print_success(message: str) -> None:
+    if _rich_tty():
+        _console.print(f"[ok] {message} [/ok]")
+    else:
+        print(message)
+
+
+def print_warning(message: str) -> None:
+    if _rich_tty():
+        _console.print(f"[warn] {message} [/warn]")
+    else:
+        print(message)
+
+
+def print_error(message: str) -> None:
+    if _rich_tty():
+        _console.print(f"[bad] {message} [/bad]")
+    else:
+        print(message)
+
+
+def prompt_yes_no(prompt: str, default_no: bool = True) -> bool:
+    _stty_sane()
+    if _rich_tty():
+        return bool(_Confirm.ask(f"[accent]{prompt}[/accent]", default=not default_no))
     suffix = " [y/N]: " if default_no else " [Y/n]: "
     ans = input(prompt + suffix).strip().lower()
     if not ans:
@@ -22,44 +163,56 @@ def prompt_yes_no(prompt: str, default_no: bool = True) -> bool:
 
 
 def prompt_choice(prompt: str, options: List[str], default_index: int = 0) -> int:
-    try:
-        if sys.stdin and sys.stdin.isatty():
-            subprocess.run(["stty", "sane"], check=False)
-    except Exception:
-        pass
-    for i, opt in enumerate(options, start=1):
-        print(f"  {i}) {opt}")
-    raw = input(f"{prompt} (1-{len(options)}) [default {default_index+1}]: ").strip()
-    if not raw:
-        return default_index
+    _stty_sane()
+    if not options:
+        return 0
+    if _rich_tty():
+        table = _Table(show_header=False, box=None, pad_edge=False)
+        table.add_column(style="accent", width=4)
+        table.add_column(style="muted")
+        for i, opt in enumerate(options, start=1):
+            table.add_row(f"{i}.", opt)
+        _console.print(_Panel(table, title=f"[title] {prompt} [/title]", border_style="accent2"))
+        raw = _Prompt.ask(
+            f"[cornflower]{prompt}[/cornflower] [muted](1-{len(options)}, default {default_index + 1})[/muted]",
+            default=str(default_index + 1),
+        ).strip()
+    else:
+        for i, opt in enumerate(options, start=1):
+            print(f"  {i}) {opt}")
+        raw = input(f"{prompt} (1-{len(options)}) [default {default_index+1}]: ").strip()
     try:
         idx = int(raw)
         if 1 <= idx <= len(options):
             return idx - 1
     except Exception:
         pass
-    return default_index
+    return max(0, min(default_index, len(options) - 1))
 
 
 def prompt_text(prompt: str, default_value: str = "") -> str:
-    try:
-        if sys.stdin and sys.stdin.isatty():
-            subprocess.run(["stty", "sane"], check=False)
-    except Exception:
-        pass
+    _stty_sane()
+    if _rich_tty():
+        raw = _Prompt.ask(
+            f"[cornflower]{prompt}[/cornflower]",
+            default=default_value if default_value is not None else "",
+        ).strip()
+        return raw or default_value
     raw = input(f"{prompt} [{default_value}]: ").strip()
     return raw or default_value
 
 
 def _clear_screen() -> None:
     try:
-        os.system("cls" if os.name == "nt" else "clear")
+        if _rich_tty():
+            _console.clear()
+        else:
+            os.system("cls" if os.name == "nt" else "clear")
     except Exception:
         pass
 
 
 def ensure_min_terminal_size(min_cols: int = 100, min_rows: int = 30) -> None:
-    """Best-effort to resize terminal to avoid misaligned boxes."""
     try:
         cols, rows = shutil.get_terminal_size((80, 24))
     except Exception:
@@ -76,52 +229,20 @@ def ensure_min_terminal_size(min_cols: int = 100, min_rows: int = 30) -> None:
 
 def confirm_benchmark_readiness() -> bool:
     _clear_screen()
-    try:
-        width = max(60, min(shutil.get_terminal_size((100, 20)).columns, 100))
-    except Exception:
-        width = 80
-    border = "\u2550" * (width - 2)
-    top = f"\u2554{border}\u2557"
-    bottom = f"\u255a{border}\u255d"
-    RED = "\033[31;1m"
-    RED_BG = "\033[41;97;1m"
-    RESET = "\033[0m"
-    ansi_re = re.compile(r"\x1b\[[0-9;]*m")
-
-    def _display_len(s: str) -> int:
-        try:
-            return len(ansi_re.sub("", s))
-        except Exception:
-            return len(s)
-
-    def center_line(text: str) -> str:
-        t = text.strip()
-        pad = max(0, width - 2 - _display_len(t))
-        left = pad // 2
-        right = pad - left
-        return f"\u2551{' ' * left}{t}{' ' * right}\u2551"
-
-    print(top)
-    print(center_line(f"{RED_BG} Warning! {RESET}"))
-    print(center_line(""))
-    lines = [
-        f"{RED}Please close all programs that may be stealing CPU resources or using your media engine{RESET}",
-        f"{RED}(ie. Video Games, Studio Software, Video Playback, Browser, etc.){RESET}",
-        "",
-        f"{RED}Accurate data is very important! Have you closed all other programs?{RESET}",
-    ]
-    for ln in lines:
-        print(center_line(ln))
-    print(center_line(""))
-    print(center_line("Type \"yes\" to proceed"))
-    print(bottom)
-
-    try:
-        if sys.stdin and sys.stdin.isatty():
-            subprocess.run(["stty", "sane"], check=False)
-    except Exception:
-        pass
-    ans = input("Type \"yes\" to proceed: ").strip().lower()
+    if _rich_tty():
+        text = (
+            "[bad] Warning! [/bad]\n\n"
+            "[muted]Please close all programs that may be stealing CPU resources or using your media engine\n"
+            "(video games, NLEs, video playback, browser tabs, etc.).[/muted]\n\n"
+            "[accent2]Accurate data is important.[/accent2]\n"
+            "[accent]Type \"yes\" to proceed.[/accent]"
+        )
+        _console.print(_Panel(text, title="[title] Benchmark Readiness Check [/title]", border_style="accent2"))
+    else:
+        print("Please close all heavy background applications for accurate results.")
+        print('Type "yes" to proceed')
+    _stty_sane()
+    ans = input('Type "yes" to proceed: ').strip().lower()
     return ans == "yes"
 
 
@@ -130,7 +251,7 @@ def _format_duration(seconds: float) -> str:
     h = total // 3600
     m = (total % 3600) // 60
     s = total % 60
-    parts = []
+    parts: List[str] = []
     if h > 0:
         parts.append(f"{h}h")
     if m > 0 or h > 0:
@@ -140,36 +261,553 @@ def _format_duration(seconds: float) -> str:
 
 
 def print_end_screen(completed_count: int, elapsed_seconds: float) -> None:
-    try:
-        width = max(60, min(shutil.get_terminal_size((100, 20)).columns, 100))
-    except Exception:
-        width = 80
-    border = "\u2550" * (width - 2)
-    top = f"\u2554{border}\u2557"
-    bottom = f"\u255a{border}\u255d"
-    GREEN = "\033[32;1m"
-    MAGENTA = "\033[35;1m"
-    GREEN_BG = "\033[42;97;1m"
-    RESET = "\033[0m"
-    ansi_re = re.compile(r"\x1b\[[0-9;]*m")
-
-    def _display_len(s: str) -> int:
+    time_str = _format_duration(elapsed_seconds)
+    if _rich_tty():
+        body = (
+            "[ok] Benchmark run complete [/ok]\n\n"
+            f"[muted]Submitted data points:[/muted] [accent]{completed_count}[/accent]\n"
+            f"[muted]Time donated:[/muted] [accent2]{time_str}[/accent2]"
+        )
+        _console.print(_Panel(body, title="[title] Thank You [/title]", border_style="accent2"))
+    else:
+        print(f"Benchmark complete. Submitted {completed_count} data points in {time_str}.")
+
+
+def print_benchmark_result(payload: Dict[str, Any], relative_file_size_pct: Optional[float]) -> None:
+    def _fmt_float(v: Any, digits: int = 2) -> str:
         try:
-            return len(ansi_re.sub("", s))
+            return f"{float(v):.{digits}f}"
         except Exception:
-            return len(s)
-
-    def center_line(text: str) -> str:
-        t = text.strip()
-        pad = max(0, width - 2 - _display_len(t))
-        left = pad // 2
-        right = pad - left
-        return f"\u2551{' ' * left}{t}{' ' * right}\u2551"
-
-    print(top)
-    print(center_line(f"{GREEN_BG} Thank you for completing the benchmark! {RESET}"))
-    print(center_line(""))
-    time_str = _format_duration(elapsed_seconds)
-    print(center_line(f"{GREEN}You supported an open-source database by submitting {completed_count} data points{RESET}"))
-    print(center_line(f"{GREEN}and donating {time_str} of your computer's time! {MAGENTA}<3{RESET}"))
-    print(bottom)
+            return "N/A"
+
+    if _rich_tty():
+        table = _Table(show_header=False, box=None, pad_edge=False)
+        table.add_column(style="muted", width=30)
+        table.add_column(style="accent", justify="right")
+        table.add_row("FPS", _fmt_float(payload.get("fps"), 2))
+        table.add_row("VMAF", _fmt_float(payload.get("vmaf"), 2) if payload.get("vmaf") is not None else "N/A")
+        table.add_row("SSIM", _fmt_float(payload.get("ssim"), 4) if payload.get("ssim") is not None else "N/A")
+        table.add_row("PSNR", (_fmt_float(payload.get("psnr"), 2) + " dB") if payload.get("psnr") is not None else "N/A")
+        if relative_file_size_pct is not None:
+            table.add_row("Relative File Size", f"{_fmt_float(relative_file_size_pct, 1)}%")
+        else:
+            table.add_row("Relative File Size", "N/A")
+        if payload.get("gpuUtilAvg") is not None:
+            table.add_row("GPU Util", f"{_fmt_float(payload.get('gpuUtilAvg'), 1)}%")
+        if payload.get("gpuPowerAvgW") is not None:
+            gpu_power = float(payload.get("gpuPowerAvgW") or 0.0)
+            fps = float(payload.get("fps") or 0.0)
+            fps_per_watt = (fps / gpu_power) if gpu_power > 0 else None
+            if fps_per_watt is None:
+                table.add_row("GPU Power", f"{_fmt_float(gpu_power, 1)} W")
+            else:
+                table.add_row("GPU Power", f"{_fmt_float(gpu_power, 1)} W ({_fmt_float(fps_per_watt, 2)} FPS/W)")
+        if payload.get("cpuUtilAvg") is not None:
+            table.add_row("CPU Util", f"{_fmt_float(payload.get('cpuUtilAvg'), 1)}%")
+        if payload.get("peakMemoryMB") is not None:
+            table.add_row("Peak Memory", f"{_fmt_float(payload.get('peakMemoryMB'), 0)} MB")
+        if payload.get("thermalThrottle") is True:
+            table.add_row("Thermal Status", "[warn]THROTTLING DETECTED[/warn]")
+        _console.print(_Panel(table, title="[title] Benchmark Result [/title]", border_style="accent2"))
+        return
+
+    print("\n|---------------------------")
+    print(f"| FPS: {_fmt_float(payload.get('fps'), 2)}")
+    print("|---------------------------")
+    print(f"| VMAF: {_fmt_float(payload.get('vmaf'), 2) if payload.get('vmaf') is not None else 'N/A'}")
+    print("|---------------------------")
+    print(f"| SSIM: {_fmt_float(payload.get('ssim'), 4) if payload.get('ssim') is not None else 'N/A'}")
+    print("|---------------------------")
+    print(f"| PSNR: {(_fmt_float(payload.get('psnr'), 2) + ' dB') if payload.get('psnr') is not None else 'N/A'}")
+    print("|---------------------------")
+    if relative_file_size_pct is not None:
+        print(f"| Relative File Size: {_fmt_float(relative_file_size_pct, 1)}%")
+    else:
+        print("| Relative File Size: N/A")
+    print("|---------------------------")
+
+
+def print_batch_summary(summary: Dict[str, Any]) -> None:
+    total = int(summary.get("totalTasks") or 0)
+    total_batches = int(summary.get("totalBatches") or 0)
+    completed = int(summary.get("completed") or 0)
+    submitted = int(summary.get("submitted") or 0)
+    skipped = int(summary.get("skipped") or 0)
+    queued = int(summary.get("queued") or 0)
+    failed = int(summary.get("failed") or 0)
+    elapsed_seconds = float(summary.get("elapsedSeconds") or 0.0)
+    throughput_per_hour = float(summary.get("throughputPerHour") or 0.0)
+    if _rich_tty():
+        table = _Table(show_header=False, box=None, pad_edge=False)
+        table.add_column(style="muted", width=22)
+        table.add_column(style="accent", justify="right")
+        table.add_row("Planned Tasks", str(total))
+        if total_batches > 0:
+            table.add_row("Batches", str(total_batches))
+        table.add_row("Completed Encodes", str(completed))
+        table.add_row("Submitted", str(submitted))
+        table.add_row("Skipped", str(skipped))
+        table.add_row("Queued", str(queued))
+        table.add_row("Failures", str(failed))
+        if elapsed_seconds > 0:
+            table.add_row("Elapsed", _format_duration(elapsed_seconds))
+            table.add_row("Throughput", f"{throughput_per_hour:.1f} encodes/hour")
+        _console.print(_Panel(table, title="[title] Batch Summary [/title]", border_style="accent2"))
+        return
+    print("Batch Summary")
+    print(f"  Planned Tasks: {total}")
+    if total_batches > 0:
+        print(f"  Batches: {total_batches}")
+    print(f"  Completed Encodes: {completed}")
+    print(f"  Submitted: {submitted}")
+    print(f"  Skipped: {skipped}")
+    print(f"  Queued: {queued}")
+    print(f"  Failures: {failed}")
+    if elapsed_seconds > 0:
+        print(f"  Elapsed: {_format_duration(elapsed_seconds)}")
+        print(f"  Throughput: {throughput_per_hour:.1f} encodes/hour")
+
+
+class BenchmarkProgress:
+    def __init__(self, total: int, title: str = "Benchmark Progress"):
+        self.total = max(1, int(total))
+        self.title = title
+        self._progress = None
+        self._task_id = None
+        self._count = 0
+
+    def __enter__(self) -> "BenchmarkProgress":
+        if _rich_tty():
+            self._progress = _Progress(
+                _SpinnerColumn(style="cornflower"),
+                _TextColumn("[cornflower]{task.description}[/cornflower]"),
+                _BarColumn(bar_width=40, complete_style="lavender", finished_style="lavender", style="evergreen"),
+                _TextColumn("[muted]{task.completed}/{task.total}[/muted]"),
+                _TimeElapsedColumn(),
+                _TimeRemainingColumn(),
+                console=_console,
+                transient=False,
+            )
+            self._progress.start()
+            self._task_id = self._progress.add_task(self.title, total=self.total)
+        return self
+
+    def advance(self, description: Optional[str] = None, step: int = 1) -> None:
+        self._count += step
+        if self._progress is not None and self._task_id is not None:
+            kwargs: Dict[str, Any] = {"advance": step}
+            if description:
+                kwargs["description"] = description
+            self._progress.update(self._task_id, **kwargs)
+            return
+        if description:
+            print(f"Progress: {self._count}/{self.total} - {description}")
+        else:
+            print(f"Progress: {self._count}/{self.total}")
+
+    def set_description(self, description: str) -> None:
+        if self._progress is not None and self._task_id is not None:
+            self._progress.update(self._task_id, description=description)
+
+    def __exit__(self, exc_type, exc, tb) -> None:
+        if self._progress is not None:
+            self._progress.stop()
+            self._progress = None
+            self._task_id = None
+
+
+class BatchRunDashboard:
+    def __init__(self, total_tasks: int, total_batches: int, hardware: Optional[Any] = None):
+        self.total_tasks = max(1, int(total_tasks))
+        self.total_batches = max(1, int(total_batches))
+        self.hardware = hardware
+        self._phase_steps_per_task = 3  # encode + metrics + submit
+
+        self._live = None
+        self._overall_progress = None
+        self._batch_progress = None
+        self._overall_task_id = None
+        self._batch_task_id = None
+
+        self._overall_phase_steps = 0
+        self._batch_phase_steps = 0
+        self._overall_count = 0
+        self._batch_count = 0
+        self._batch_no = 1
+        self._batch_size = 1
+        self._description = "Preparing batch..."
+        self._task_info: Dict[str, Any] = {}
+        self._metrics: Dict[str, Any] = {}
+        self._counters: Dict[str, int] = {"submitted": 0, "skipped": 0, "queued": 0, "failed": 0}
+        self._prev_sigwinch: Any = None
+        self._sigwinch_installed = False
+
+    def __enter__(self) -> "BatchRunDashboard":
+        if _rich_tty():
+            left_col = _Column(width=8, no_wrap=True) if _Column is not None else None
+            self._overall_progress = _Progress(
+                _TextColumn("[accent]{task.fields[label]}[/accent]", table_column=left_col),
+                _BarColumn(bar_width=None, complete_style="lavender", finished_style="lavender", style="evergreen"),
+                _TextColumn("[muted]{task.fields[display_done]}/{task.fields[display_total]}[/muted]"),
+                _TimeElapsedColumn(),
+                _TimeRemainingColumn(),
+                console=_console,
+                expand=True,
+                transient=False,
+            )
+            self._batch_progress = _Progress(
+                _TextColumn("[accent2]{task.fields[label]}[/accent2]", table_column=left_col),
+                _BarColumn(bar_width=None, complete_style="cornflower", finished_style="cornflower", style="evergreen"),
+                _TextColumn("[muted]{task.fields[display_done]}/{task.fields[display_total]}[/muted]"),
+                _TimeElapsedColumn(),
+                _TimeRemainingColumn(),
+                console=_console,
+                expand=True,
+                transient=False,
+            )
+            # Important: do not call Progress.start() here.
+            # Each Progress would create its own Live display and conflict with
+            # this dashboard's parent Live, which can delay rendering until
+            # teardown/interrupt on some terminals.
+            self._overall_task_id = self._overall_progress.add_task(
+                "Overall progress",
+                total=self.total_tasks * self._phase_steps_per_task,
+                display_done=0,
+                display_total=self.total_tasks,
+                label="Overall",
+            )
+            self._batch_task_id = self._batch_progress.add_task(
+                "Batch progress",
+                total=max(1, self._batch_size * self._phase_steps_per_task),
+                display_done=0,
+                display_total=self._batch_size,
+                label="Batch",
+            )
+            self._live = _Live(
+                self._render(),
+                console=_console,
+                refresh_per_second=8,
+                auto_refresh=True,
+            )
+            try:
+                self._live.start(refresh=True)
+            except TypeError:
+                self._live.start()
+                try:
+                    self._live.refresh()
+                except Exception:
+                    pass
+            self._install_resize_handler()
+            self._refresh()
+        return self
+
+    def __exit__(self, exc_type, exc, tb) -> None:
+        self._restore_resize_handler()
+        if self._live is not None:
+            self._live.stop()
+            self._live = None
+        if self._overall_progress is not None:
+            self._overall_progress.stop()
+            self._overall_progress = None
+        if self._batch_progress is not None:
+            self._batch_progress.stop()
+            self._batch_progress = None
+        self._overall_task_id = None
+        self._batch_task_id = None
+
+    def start_batch(self, batch_no: int, batch_size: int) -> None:
+        self._batch_no = max(1, int(batch_no))
+        self._batch_size = max(1, int(batch_size))
+        self._batch_count = 0
+        self._batch_phase_steps = 0
+        if self._batch_progress is not None and self._batch_task_id is not None:
+            self._batch_progress.reset(
+                self._batch_task_id,
+                total=max(1, self._batch_size * self._phase_steps_per_task),
+                completed=0,
+                description=f"Batch {self._batch_no}/{self.total_batches}",
+                display_done=0,
+                display_total=self._batch_size,
+                label="Batch",
+            )
+        self._refresh()
+
+    def set_description(self, description: str) -> None:
+        self._description = description
+        if self._overall_progress is not None and self._overall_task_id is not None:
+            self._overall_progress.update(self._overall_task_id, description=description)
+        if self._batch_progress is not None and self._batch_task_id is not None:
+            self._batch_progress.update(
+                self._batch_task_id,
+                description=f"Batch {self._batch_no}/{self.total_batches}",
+            )
+        self._refresh()
+
+    def set_current_test(self, **kwargs: Any) -> None:
+        self._task_info = dict(kwargs)
+        self._refresh()
+
+    def update_machine_metrics(self, metrics: Dict[str, Any]) -> None:
+        self._metrics = dict(metrics or {})
+        self._refresh()
+
+    def update_counters(self, *, submitted: int, skipped: int, queued: int, failed: int) -> None:
+        self._counters = {
+            "submitted": max(0, int(submitted)),
+            "skipped": max(0, int(skipped)),
+            "queued": max(0, int(queued)),
+            "failed": max(0, int(failed)),
+        }
+        self._refresh()
+
+    def advance_phase(self, description: Optional[str] = None, step: int = 1) -> None:
+        step_n = max(1, int(step))
+        self._overall_phase_steps += step_n
+        self._batch_phase_steps += step_n
+        if description:
+            self._description = description
+        display_overall = min(self.total_tasks, max(self._overall_count, self._overall_phase_steps))
+        display_batch = min(self._batch_size, max(self._batch_count, self._batch_phase_steps))
+
+        if self._overall_progress is not None and self._overall_task_id is not None:
+            kwargs: Dict[str, Any] = {
+                "advance": step_n,
+                "display_done": display_overall,
+                "display_total": self.total_tasks,
+            }
+            if description:
+                kwargs["description"] = description
+            self._overall_progress.update(self._overall_task_id, **kwargs)
+
+        if self._batch_progress is not None and self._batch_task_id is not None:
+            self._batch_progress.update(
+                self._batch_task_id,
+                advance=step_n,
+                display_done=display_batch,
+                display_total=self._batch_size,
+            )
+        self._refresh()
+
+    def advance(self, description: Optional[str] = None, step: int = 1) -> None:
+        step_n = max(1, int(step))
+        self._overall_count += step_n
+        self._batch_count += step_n
+        self._overall_phase_steps += step_n
+        self._batch_phase_steps += step_n
+        if description:
+            self._description = description
+        display_overall = min(self.total_tasks, max(self._overall_count, self._overall_phase_steps))
+        display_batch = min(self._batch_size, max(self._batch_count, self._batch_phase_steps))
+
+        if self._overall_progress is not None and self._overall_task_id is not None:
+            kwargs: Dict[str, Any] = {
+                "advance": step_n,
+                "display_done": display_overall,
+                "display_total": self.total_tasks,
+            }
+            if description:
+                kwargs["description"] = description
+            self._overall_progress.update(self._overall_task_id, **kwargs)
+        if self._batch_progress is not None and self._batch_task_id is not None:
+            self._batch_progress.update(
+                self._batch_task_id,
+                advance=step_n,
+                display_done=display_batch,
+                display_total=self._batch_size,
+            )
+
+        if not _rich_tty():
+            if description:
+                print(f"Progress: {self._overall_count}/{self.total_tasks} - {description}")
+            else:
+                print(f"Progress: {self._overall_count}/{self.total_tasks}")
+        self._refresh()
+
+    def _install_resize_handler(self) -> None:
+        try:
+            sig = signal.SIGWINCH
+        except Exception:
+            return
+
+        try:
+            self._prev_sigwinch = signal.getsignal(sig)
+        except Exception:
+            self._prev_sigwinch = None
+
+        def _on_resize(signum: int, frame: Any) -> None:
+            self._refresh()
+            prev = self._prev_sigwinch
+            if callable(prev) and prev is not _on_resize:
+                try:
+                    prev(signum, frame)
+                except Exception:
+                    pass
+
+        try:
+            signal.signal(sig, _on_resize)
+            self._sigwinch_installed = True
+        except Exception:
+            self._sigwinch_installed = False
+
+    def _restore_resize_handler(self) -> None:
+        if not self._sigwinch_installed:
+            return
+        try:
+            signal.signal(signal.SIGWINCH, self._prev_sigwinch)
+        except Exception:
+            pass
+        self._sigwinch_installed = False
+
+    def _fmt(self, key: str, suffix: str = "", digits: int = 1) -> str:
+        try:
+            v = self._metrics.get(key)
+            if v is None:
+                return "N/A"
+            return f"{float(v):.{digits}f}{suffix}"
+        except Exception:
+            return "N/A"
+
+    def _machine_info_lines(self, compact: bool = False) -> List[str]:
+        hw = self.hardware
+        cpu_model = getattr(hw, "cpuModel", None) if hw is not None else None
+        gpu_model = getattr(hw, "gpuModel", None) if hw is not None else None
+        ram_gb = getattr(hw, "ramGB", None) if hw is not None else None
+        os_name = getattr(hw, "os", None) if hw is not None else None
+
+        is_hardware = bool(self._task_info.get("isHardware", False))
+        mode_label = "Hardware Encoder" if is_hardware else "Software Encoder"
+        power_source = str(self._metrics.get("powerSource") or "unknown").upper()
+
+        lines = [
+            f"[muted]Mode:[/muted] [accent]{mode_label}[/accent]",
+            f"[muted]OS:[/muted] {os_name or 'Unknown'}",
+            f"[muted]RAM:[/muted] {ram_gb if ram_gb is not None else 'N/A'} GB",
+            f"[muted]Power Source:[/muted] {power_source}",
+            f"[muted]Power Draw:[/muted] {self._fmt('gpuPowerAvgW', ' W', 1)}",
+            f"[muted]Battery Drop:[/muted] {self._fmt('batteryPercentDrop', '%', 2)}"
+        ]
+
+        if compact:
+            if is_hardware:
+                lines.extend([
+                    f"[muted]GPU:[/muted] {gpu_model or 'Unknown'}",
+                    f"[muted]GPU Util:[/muted] {self._fmt('gpuUtilAvg', '%', 1)}",
+                ])
+            else:
+                lines.extend([
+                    f"[muted]CPU:[/muted] {cpu_model or 'Unknown'}",
+                    f"[muted]CPU Util:[/muted] {self._fmt('cpuUtilAvg', '%', 1)}",
+                ])
+            return lines
+
+        if is_hardware:
+            lines.extend([
+                f"[muted]GPU:[/muted] {gpu_model or 'Unknown'}",
+                f"[muted]GPU Util:[/muted] {self._fmt('gpuUtilAvg', '%', 1)}",
+                f"[muted]GPU Temp:[/muted] {self._fmt('gpuTempMaxC', ' C', 1)}",
+                f"[muted]Video Engine CPU:[/muted] {self._fmt('ffmpegCpuUtilAvg', '%', 1)}",
+            ])
+        else:
+            lines.extend([
+                f"[muted]CPU:[/muted] {cpu_model or 'Unknown'}",
+                f"[muted]CPU Util:[/muted] {self._fmt('cpuUtilAvg', '%', 1)}",
+                f"[muted]CPU Temp:[/muted] {self._fmt('cpuTempMaxC', ' C', 1)}",
+                f"[muted]CPU Freq:[/muted] {self._fmt('cpuFreqAvgMHz', ' MHz', 0)}",
+            ])
+        return lines
+
+    def _test_info_lines(self, compact: bool = False) -> List[str]:
+        stage = str(self._task_info.get("stage") or "Preparing")
+        enc = str(self._task_info.get("encoder") or "-")
+        preset = str(self._task_info.get("preset") or "-")
+        crf = self._task_info.get("crf")
+        passes = self._task_info.get("passes")
+        cc = str(self._task_info.get("contentClass") or "mixed")
+        res = str(self._task_info.get("resolution") or "1080p")
+
+        lines = [
+            f"[muted]Stage:[/muted] [accent2]{stage}[/accent2]",
+            f"[muted]Encoder:[/muted] [vanilla]{enc}[/vanilla]",
+            f"[muted]Preset:[/muted] {preset}    [muted]CRF:[/muted] {crf if crf is not None else '-'}",
+            f"[muted]Content:[/muted] {cc}    [muted]Resolution:[/muted] {res}    [muted]Passes:[/muted] {passes if passes is not None else 1}",
+            f"[muted]Queue:[/muted] ok={self._counters['submitted']} skip={self._counters['skipped']} queue={self._counters['queued']} fail={self._counters['failed']}",
+            f"[muted]Now:[/muted] {self._description}",
+        ]
+        if compact:
+            return lines[:5]
+        return lines
+
+    def _render(self) -> Any:
+        if not (_rich_tty() and self._overall_progress is not None and self._batch_progress is not None):
+            return ""
+
+        width = 0
+        try:
+            width = int(getattr(getattr(_console, "size", None), "width", 0) or 0)
+        except Exception:
+            width = 0
+        compact = width > 0 and width < 120
+        side_by_side = width >= 130
+
+        test_lines = self._test_info_lines(compact=compact)
+        machine_lines = self._machine_info_lines(compact=compact)
+        if side_by_side:
+            max_lines = max(len(test_lines), len(machine_lines))
+            if len(test_lines) < max_lines:
+                test_lines.extend([""] * (max_lines - len(test_lines)))
+            if len(machine_lines) < max_lines:
+                machine_lines.extend([""] * (max_lines - len(machine_lines)))
+
+        current_panel = _Panel(
+            "\n".join(test_lines),
+            title="[title] Current Benchmark [/title]",
+            border_style="accent2",
+            expand=True,
+        )
+        telemetry_panel = _Panel(
+            "\n".join(machine_lines),
+            title="[title] Client Telemetry [/title]",
+            border_style="accent2",
+            expand=True,
+        )
+        if side_by_side:
+            top_grid = _Table.grid(expand=True)
+            top_grid.add_column(ratio=3)
+            top_grid.add_column(ratio=2)
+            top_grid.add_row(current_panel, telemetry_panel)
+            top = top_grid
+        else:
+            top_stack = _Table.grid(expand=True)
+            top_stack.add_row(current_panel)
+            top_stack.add_row(telemetry_panel)
+            top = top_stack
+
+        batch_panel = _Panel(
+            self._batch_progress,
+            title=f"[title] Batch {self._batch_no}/{self.total_batches} [/title]",
+            border_style="accent2",
+            expand=True,
+        )
+        overall_panel = _Panel(
+            self._overall_progress,
+            title="[title] Total Run Progress [/title]",
+            border_style="accent2",
+            expand=True,
+        )
+        return _Group(top, batch_panel, overall_panel)
+
+    def _refresh(self) -> None:
+        if self._live is not None:
+            self._live.update(self._render(), refresh=False)
+            try:
+                self._live.refresh()
+            except Exception:
+                try:
+                    self._live.update(self._render(), refresh=True)
+                except Exception:
+                    pass
+            try:
+                if _console is not None and getattr(_console, "file", None) is not None:
+                    _console.file.flush()
+            except Exception:
+                pass
diff --git a/docker-compose.prod.yml b/docker-compose.prod.yml
index e41fc7b..33f9380 100644
--- a/docker-compose.prod.yml
+++ b/docker-compose.prod.yml
@@ -93,7 +93,7 @@ services:
       - ./nginx/conf.d:/etc/nginx/conf.d:ro
       - ./nginx/certs:/etc/nginx/certs:ro
     healthcheck:
-      test: ["CMD", "wget", "-qO-", "http://localhost:80/health" , "||", "exit", "0"]
+      test: ["CMD-SHELL", "wget -qO- http://localhost:80/health >/dev/null || exit 1"]
       interval: 30s
       timeout: 10s
       retries: 3
diff --git a/docker-compose.yml b/docker-compose.yml
index 2abff0a..5c57abc 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,4 +1,3 @@
-version: '3.9'
 services:
   db:
     image: postgres:16-alpine
diff --git a/frontend/app/api/query/route.ts b/frontend/app/api/query/route.ts
index 58ffa90..94bc4b2 100644
--- a/frontend/app/api/query/route.ts
+++ b/frontend/app/api/query/route.ts
@@ -1,9 +1,36 @@
-import { NextResponse } from "next/server";
+import { NextRequest, NextResponse } from "next/server";
 
-// Simple mock API for frontend-only development.
-// If INTERNAL_API_BASE_URL is set, the frontend pages bypass this and hit the server directly.
+export async function GET(request: NextRequest) {
+  const internal = process.env.INTERNAL_API_BASE_URL;
+  const isProd = process.env.NODE_ENV === "production";
 
-export async function GET() {
+  // If we have a real backend, proxy the request with all query params
+  if (internal) {
+    const qs = request.nextUrl.search;
+    const url = `${internal}/query${qs}`;
+    const res = await fetch(url, { signal: AbortSignal.timeout(10000) });
+    if (!res.ok) {
+      return NextResponse.json({ error: "Backend error" }, { status: res.status });
+    }
+    const data = await res.json();
+    const response = NextResponse.json(data);
+    // Forward X-Total-Count header if present
+    const totalCount = res.headers.get("X-Total-Count");
+    if (totalCount) {
+      response.headers.set("X-Total-Count", totalCount);
+      response.headers.set("Access-Control-Expose-Headers", "X-Total-Count");
+    }
+    return response;
+  }
+
+  if (isProd) {
+    return NextResponse.json(
+      { error: "INTERNAL_API_BASE_URL is not configured" },
+      { status: 503 },
+    );
+  }
+
+  // Mock API for frontend-only development
   const sample = [
     {
       id: "mock-1",
@@ -52,7 +79,7 @@ export async function GET() {
       vmafSamples: 2,
     },
   ];
-  return NextResponse.json(sample);
+  const response = NextResponse.json(sample);
+  response.headers.set("X-Total-Count", String(sample.length));
+  return response;
 }
-
-
diff --git a/frontend/app/compare-encoders/EncoderDashboardClient.tsx b/frontend/app/compare-encoders/EncoderDashboardClient.tsx
new file mode 100644
index 0000000..8c40209
--- /dev/null
+++ b/frontend/app/compare-encoders/EncoderDashboardClient.tsx
@@ -0,0 +1,195 @@
+"use client";
+
+import { useMemo, useState } from "react";
+import type { Benchmark } from "../components/BenchmarksTable";
+import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "../components/EChart";
+import styles from "./page.module.css";
+
+const COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+
+const AXES = ["Speed", "Quality", "Compression", "SSIM", "PSNR"] as const;
+
+type EncoderStats = {
+  codec: string;
+  avgFps: number;
+  avgVmaf: number;
+  avgSsim: number;
+  avgPsnr: number;
+  avgSizeMB: number;
+  count: number;
+  color: string;
+};
+
+function computeEncoderStats(data: Benchmark[]): Map<string, EncoderStats> {
+  const map = new Map<string, { fps: number; vmaf: number; ssim: number; psnr: number; size: number; vmafN: number; ssimN: number; psnrN: number; fpsN: number; sizeN: number }>();
+  for (const d of data) {
+    const agg = map.get(d.codec) || { fps: 0, vmaf: 0, ssim: 0, psnr: 0, size: 0, fpsN: 0, vmafN: 0, ssimN: 0, psnrN: 0, sizeN: 0 };
+    if (d.fps > 0) { agg.fps += d.fps; agg.fpsN++; }
+    if (typeof d.vmaf === "number") { agg.vmaf += d.vmaf; agg.vmafN++; }
+    if (typeof d.ssim === "number") { agg.ssim += d.ssim; agg.ssimN++; }
+    if (typeof d.psnr === "number") { agg.psnr += d.psnr; agg.psnrN++; }
+    if (d.fileSizeBytes > 0) { agg.size += d.fileSizeBytes / (1024 * 1024); agg.sizeN++; }
+    map.set(d.codec, agg);
+  }
+  const result = new Map<string, EncoderStats>();
+  for (const [codec, agg] of map.entries()) {
+    result.set(codec, {
+      codec,
+      avgFps: agg.fpsN > 0 ? agg.fps / agg.fpsN : 0,
+      avgVmaf: agg.vmafN > 0 ? agg.vmaf / agg.vmafN : 0,
+      avgSsim: agg.ssimN > 0 ? agg.ssim / agg.ssimN : 0,
+      avgPsnr: agg.psnrN > 0 ? agg.psnr / agg.psnrN : 0,
+      avgSizeMB: agg.sizeN > 0 ? agg.size / agg.sizeN : 0,
+      count: agg.fpsN,
+      color: CODEC_COLORS[codecColorKey(codec)] || CODEC_COLORS.other,
+    });
+  }
+  return result;
+}
+
+export default function EncoderDashboardClient({ data }: { data: Benchmark[] }) {
+  const t = useChartTheme();
+  const allStats = useMemo(() => computeEncoderStats(data), [data]);
+  const codecs = useMemo(() => Array.from(allStats.keys()).sort(), [allStats]);
+  const [selected, setSelected] = useState<string[]>([]);
+
+  const toggleCodec = (codec: string) => {
+    setSelected((prev) => {
+      if (prev.includes(codec)) return prev.filter((c) => c !== codec);
+      if (prev.length >= 4) return prev;
+      return [...prev, codec];
+    });
+  };
+
+  const selectedStats = selected.map((c) => allStats.get(c)).filter(Boolean) as EncoderStats[];
+
+  const radarOption = useMemo(() => {
+    if (selectedStats.length < 2) return null;
+    let maxFps = 1, maxSize = 1;
+    const maxVmaf = 100, maxSsim = 1, maxPsnr = 50;
+    for (const s of selectedStats) {
+      if (s.avgFps > maxFps) maxFps = s.avgFps;
+      if (s.avgSizeMB > maxSize) maxSize = s.avgSizeMB;
+    }
+    const normalize = (s: EncoderStats): number[] => [
+      Math.min(100, (s.avgFps / maxFps) * 100),
+      Math.min(100, (s.avgVmaf / maxVmaf) * 100),
+      s.avgSizeMB > 0 ? Math.min(100, ((maxSize - s.avgSizeMB) / maxSize) * 100 + 10) : 0,
+      Math.min(100, (s.avgSsim / maxSsim) * 100),
+      s.avgPsnr >= 20 ? Math.min(100, ((s.avgPsnr - 20) / (maxPsnr - 20)) * 100) : 0,
+    ];
+    return {
+      backgroundColor: "transparent",
+      tooltip: {
+        trigger: "item",
+        backgroundColor: t.surface,
+        borderColor: t.border,
+        textStyle: { color: t.fg, fontSize: 12 },
+        formatter: (params: { name: string; value: number[] }) => {
+          const lines = AXES.map((ax, i) => `${ax}: <b>${(params.value[i] || 0).toFixed(1)}</b>`).join("<br/>");
+          return `<b>${params.name}</b><br/>${lines}`;
+        },
+      },
+      legend: {
+        data: selectedStats.map((s) => s.codec),
+        textStyle: { color: t.fg, fontSize: 12 },
+        top: 4,
+        type: "scroll" as const,
+      },
+      radar: {
+        indicator: AXES.map((name) => ({ name, max: 100 })),
+        splitLine: { lineStyle: { color: t.border } },
+        axisLine: { lineStyle: { color: t.border } },
+        splitArea: { show: false },
+        axisName: { color: t.fg, fontSize: 12 },
+        center: ["50%", "54%"],
+        radius: "60%",
+      },
+      series: [
+        {
+          type: "radar",
+          data: selectedStats.map((s, i) => ({
+            name: s.codec,
+            value: normalize(s),
+            lineStyle: { color: COLORS[i % COLORS.length], width: 2 },
+            areaStyle: { color: COLORS[i % COLORS.length], opacity: 0.12 + i * 0.04 },
+            itemStyle: { color: COLORS[i % COLORS.length] },
+            symbol: "circle",
+            symbolSize: 5,
+          })),
+        },
+      ],
+    };
+  }, [selectedStats, t]);
+
+  return (
+    <div className={styles.container}>
+      <h1 className={styles.heading}>Encoder Comparison</h1>
+      <p className="subtle" style={{ marginBottom: 16 }}>Select up to 4 encoders to compare across performance axes.</p>
+
+      <div className={styles.codecGrid}>
+        {codecs.map((codec) => {
+          const isSelected = selected.includes(codec);
+          const stats = allStats.get(codec)!;
+          return (
+            <button
+              key={codec}
+              type="button"
+              className={`btn ${styles.codecBtn}${isSelected ? ` ${styles.codecBtnActive}` : ""}`}
+              onClick={() => toggleCodec(codec)}
+              disabled={!isSelected && selected.length >= 4}
+              style={isSelected ? { borderColor: stats.color, background: `color-mix(in srgb, ${stats.color} 12%, var(--surface))` } : undefined}
+            >
+              <span className={styles.codecDot} style={{ background: stats.color }} />
+              {codec}
+              <span className="subtle" style={{ fontSize: 11 }}>({stats.count})</span>
+            </button>
+          );
+        })}
+      </div>
+
+      {radarOption && (
+        <>
+          <div className={styles.radarWrapper}>
+            <EChart option={radarOption} height={400} />
+          </div>
+
+          <div className={styles.summaryTableWrapper}>
+            <table className={styles.summaryTable}>
+              <thead>
+                <tr>
+                  <th>Metric</th>
+                  {selectedStats.map((s) => (
+                    <th key={s.codec} style={{ color: s.color }}>{s.codec}</th>
+                  ))}
+                </tr>
+              </thead>
+              <tbody>
+                <tr><td>Avg FPS</td>{selectedStats.map((s) => <td key={s.codec}>{s.avgFps.toFixed(1)}</td>)}</tr>
+                <tr><td>Avg VMAF</td>{selectedStats.map((s) => <td key={s.codec}>{s.avgVmaf.toFixed(1)}</td>)}</tr>
+                <tr><td>Avg SSIM</td>{selectedStats.map((s) => <td key={s.codec}>{s.avgSsim.toFixed(4)}</td>)}</tr>
+                <tr><td>Avg PSNR (dB)</td>{selectedStats.map((s) => <td key={s.codec}>{s.avgPsnr.toFixed(2)}</td>)}</tr>
+                <tr><td>Avg Size (MB)</td>{selectedStats.map((s) => <td key={s.codec}>{s.avgSizeMB.toFixed(2)}</td>)}</tr>
+                <tr><td>Samples</td>{selectedStats.map((s) => <td key={s.codec}>{s.count}</td>)}</tr>
+              </tbody>
+            </table>
+          </div>
+        </>
+      )}
+
+      {selected.length === 1 && (
+        <div className="subtle" style={{ textAlign: "center", padding: 32 }}>
+          Select at least 2 encoders to see the comparison.
+        </div>
+      )}
+
+      {selected.length === 0 && (
+        <div className="subtle" style={{ textAlign: "center", padding: 32 }}>
+          Select encoders above to begin comparing.
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/frontend/app/compare-encoders/page.module.css b/frontend/app/compare-encoders/page.module.css
new file mode 100644
index 0000000..2566e67
--- /dev/null
+++ b/frontend/app/compare-encoders/page.module.css
@@ -0,0 +1,73 @@
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+  padding: 24px 16px;
+}
+
+.heading {
+  margin-bottom: 8px;
+}
+
+.codecGrid {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 8px;
+  margin-bottom: 24px;
+}
+
+.codecBtn {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  padding: 6px 12px;
+  font-size: 13px;
+  border-radius: 6px;
+  transition: background 0.15s, border-color 0.15s;
+}
+
+.codecBtn:disabled {
+  opacity: 0.4;
+  cursor: not-allowed;
+}
+
+.codecBtnActive {
+  font-weight: 600;
+}
+
+.codecDot {
+  display: inline-block;
+  width: 10px;
+  height: 10px;
+  border-radius: 50%;
+  flex-shrink: 0;
+}
+
+.radarWrapper {
+  margin-bottom: 24px;
+}
+
+.summaryTableWrapper {
+  overflow-x: auto;
+}
+
+.summaryTable {
+  width: 100%;
+  border-collapse: collapse;
+  font-size: 13px;
+}
+
+.summaryTable th,
+.summaryTable td {
+  padding: 8px 12px;
+  text-align: left;
+  border-bottom: 1px solid var(--border);
+}
+
+.summaryTable th {
+  font-weight: 600;
+  background: var(--surface);
+}
+
+.summaryTable td:first-child {
+  font-weight: 500;
+}
diff --git a/frontend/app/compare-encoders/page.tsx b/frontend/app/compare-encoders/page.tsx
new file mode 100644
index 0000000..0f64e31
--- /dev/null
+++ b/frontend/app/compare-encoders/page.tsx
@@ -0,0 +1,28 @@
+import type { Benchmark } from "../components/BenchmarksTable";
+import { fetchBenchmarks } from "../lib/fetchBenchmarks";
+import EncoderDashboardClient from "./EncoderDashboardClient";
+
+export const dynamic = "force-dynamic";
+
+export default async function EncoderComparisonPage() {
+  let data: Benchmark[] = [];
+  let error: string | null = null;
+  try {
+    data = await fetchBenchmarks();
+  } catch (e: unknown) {
+    error = e instanceof Error ? e.message : "Unknown error";
+  }
+
+  if (error) {
+    return (
+      <div style={{ maxWidth: 1200, margin: "0 auto", padding: "24px 16px" }}>
+        <h1 style={{ marginBottom: 16 }}>Encoder Comparison</h1>
+        <div style={{ background: "var(--error-bg)", color: "var(--error-fg)", padding: 12, borderRadius: 8 }}>
+          Failed to load data: {error}
+        </div>
+      </div>
+    );
+  }
+
+  return <EncoderDashboardClient data={data} />;
+}
diff --git a/frontend/app/components/BenchmarksTable.module.css b/frontend/app/components/BenchmarksTable.module.css
index b627a95..c6cf3ae 100644
--- a/frontend/app/components/BenchmarksTable.module.css
+++ b/frontend/app/components/BenchmarksTable.module.css
@@ -1,12 +1,13 @@
 .filterGrid {
   display: grid;
-  grid-template-columns: repeat(4, 1fr);
+  grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
   gap: 12px;
-  margin-bottom: 8px;
+  margin-bottom: 10px;
 }
 
 .encoderFilters {
   display: flex;
+  flex-wrap: wrap;
   gap: 8px;
   margin-bottom: 16px;
   align-items: center;
@@ -26,7 +27,7 @@
 
 .weightsGrid {
   display: grid;
-  grid-template-columns: 1fr 1fr 1fr 1fr;
+  grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
   gap: 12px;
   margin-bottom: 8px;
   align-items: center;
@@ -90,9 +91,193 @@
   padding: 6px 10px;
 }
 
+.detailsModal {
+  width: min(960px, calc(100vw - 28px));
+  max-width: min(960px, calc(100vw - 28px)) !important;
+  max-height: min(88vh, 920px);
+  display: flex;
+  flex-direction: column;
+}
+
+.detailsBody {
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+  overflow-y: auto;
+  overscroll-behavior: contain;
+}
+
+.detailsOverviewGrid {
+  display: grid;
+  grid-template-columns: minmax(260px, 0.95fr) minmax(360px, 1.35fr);
+  gap: 12px;
+  align-items: stretch;
+}
+
+.aggregateCard {
+  border: 1px solid color-mix(in srgb, var(--border) 64%, var(--accent) 36%);
+  border-radius: 10px;
+  background: linear-gradient(
+    152deg,
+    color-mix(in srgb, var(--surface-2) 74%, var(--highlight) 26%),
+    color-mix(in srgb, var(--surface) 84%, var(--surface-2) 16%)
+  );
+  padding: 12px;
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+
+.aggregateHeader {
+  display: flex;
+  justify-content: space-between;
+  gap: 10px;
+  align-items: flex-start;
+}
+
+.aggregateTitle {
+  font-weight: 600;
+}
+
+.aggregateSubtitle {
+  font-size: 12px;
+  line-height: 1.45;
+  margin-top: 4px;
+}
+
+.aggregateBadge {
+  white-space: nowrap;
+  border: 1px solid var(--border);
+  border-radius: 999px;
+  padding: 4px 10px;
+  font-size: 12px;
+  font-weight: 600;
+}
+
+.aggregateBadgeMany {
+  background: color-mix(in srgb, var(--accent) 18%, var(--surface));
+  border-color: color-mix(in srgb, var(--accent) 55%, var(--border));
+}
+
+.aggregateBadgeSingle {
+  background: color-mix(in srgb, var(--surface-2) 88%, var(--surface));
+}
+
+.samplePills {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 8px;
+}
+
+.samplePill {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  border: 1px solid color-mix(in srgb, var(--border) 70%, var(--accent-secondary) 30%);
+  border-radius: 999px;
+  padding: 3px 10px;
+  background: color-mix(in srgb, var(--surface) 68%, var(--surface-2) 32%);
+}
+
+.samplePillValue {
+  font-size: 12px;
+  font-weight: 600;
+}
+
+.sectionTitle {
+  font-size: 12px;
+  margin-bottom: 6px;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+}
+
+.keyCard {
+  border: 1px solid color-mix(in srgb, var(--border) 70%, var(--accent) 30%);
+  border-radius: 10px;
+  background: color-mix(in srgb, var(--surface-2) 74%, var(--surface) 26%);
+  padding: 12px;
+}
+
+.keyStatsGrid {
+  display: grid;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  gap: 10px;
+}
+
+.keyStat {
+  border: 1px solid color-mix(in srgb, var(--border) 84%, var(--accent) 16%);
+  border-radius: 8px;
+  background: color-mix(in srgb, var(--surface) 84%, var(--surface-2) 16%);
+  padding: 8px 10px;
+  min-height: 68px;
+  display: flex;
+  flex-direction: column;
+  justify-content: center;
+}
+
+.keyStatLabel {
+  font-size: 11px;
+  letter-spacing: 0.06em;
+  text-transform: uppercase;
+  color: color-mix(in srgb, var(--muted) 80%, var(--foreground) 20%);
+  margin-bottom: 4px;
+}
+
+.keyStatValue {
+  font-size: 24px;
+  line-height: 1.05;
+  font-weight: 700;
+}
+
+.configCard {
+  border: 1px solid color-mix(in srgb, var(--border) 72%, var(--accent-secondary) 28%);
+  border-radius: 10px;
+  background: color-mix(in srgb, var(--surface) 82%, var(--surface-2) 18%);
+  padding: 12px;
+}
+
+.configGrid {
+  display: grid;
+  grid-template-columns: repeat(2, minmax(0, 1fr));
+  gap: 8px 14px;
+}
+
+.configRow {
+  border-bottom: 1px solid color-mix(in srgb, var(--border) 82%, transparent);
+  padding-bottom: 6px;
+}
+
+.configLabel {
+  font-size: 11px;
+  margin-bottom: 2px;
+  letter-spacing: 0.05em;
+  text-transform: uppercase;
+}
+
+.configValue {
+  font-weight: 600;
+  line-height: 1.3;
+}
+
+.additionalToggleRow {
+  display: flex;
+  justify-content: flex-start;
+}
+
+.additionalToggleBtn {
+  padding: 7px 10px;
+}
+
+.additionalPanel {
+  border: 1px solid color-mix(in srgb, var(--border) 76%, transparent);
+  border-radius: 10px;
+  padding: 12px;
+  background: color-mix(in srgb, var(--surface) 88%, var(--surface-2) 12%);
+}
+
 .detailsGrid {
   display: grid;
-  grid-template-columns: 1fr 1fr;
+  grid-template-columns: repeat(2, minmax(0, 1fr));
   gap: 12px;
 }
 
@@ -100,6 +285,10 @@
   display: flex;
   flex-direction: column;
   gap: 4px;
+  border: 1px solid color-mix(in srgb, var(--border) 85%, transparent);
+  border-radius: 8px;
+  background: color-mix(in srgb, var(--surface-2) 84%, var(--surface) 16%);
+  padding: 8px 10px;
 }
 
 .labelText {
@@ -165,6 +354,11 @@
   font-size: 12px;
 }
 
+.weightWarning {
+  color: var(--warning-fg, #ca8a04);
+  font-size: 12px;
+}
+
 .hoverBtn {
   padding: 6px 12px;
 }
@@ -172,3 +366,83 @@
 .hoverBtn:hover {
   background: color-mix(in srgb, var(--accent) 12%, var(--surface-2));
 }
+
+.virtualScrollContainer {
+  height: 640px;
+  overflow-y: auto;
+  overflow-x: auto;
+  border: 1px solid var(--border);
+  border-radius: 10px;
+  background: color-mix(in srgb, var(--surface) 92%, var(--surface-2) 8%);
+}
+
+.virtualHeader {
+  position: sticky;
+  top: 0;
+  z-index: 2;
+  background: color-mix(in srgb, var(--surface) 90%, var(--highlight) 10%);
+  border-bottom: 1px solid color-mix(in srgb, var(--border) 78%, var(--accent) 22%);
+  font-weight: 600;
+  font-size: 13px;
+}
+
+.virtualHeader > div {
+  padding: 8px 6px;
+}
+
+.virtualRow {
+  align-items: center;
+  border-bottom: 1px solid color-mix(in srgb, var(--border) 86%, transparent);
+  font-size: 13px;
+}
+
+.virtualRow > div {
+  padding: 6px;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.virtualRow:hover {
+  background: color-mix(in srgb, var(--accent) 7%, var(--surface));
+}
+
+.paginationBar {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 10px 0;
+  font-size: 13px;
+}
+
+@media (max-width: 760px) {
+  .detailsModal {
+    width: calc(100vw - 20px);
+    max-width: calc(100vw - 20px) !important;
+  }
+
+  .detailsOverviewGrid {
+    grid-template-columns: 1fr;
+  }
+
+  .keyStatsGrid {
+    grid-template-columns: repeat(2, minmax(0, 1fr));
+  }
+
+  .keyStatValue {
+    font-size: 20px;
+  }
+
+  .configGrid {
+    grid-template-columns: 1fr;
+  }
+
+  .detailsGrid {
+    grid-template-columns: 1fr;
+  }
+
+  .aggregateHeader {
+    flex-direction: column;
+    align-items: flex-start;
+  }
+}
diff --git a/frontend/app/components/BenchmarksTable.tsx b/frontend/app/components/BenchmarksTable.tsx
index eb20e3c..48f76d4 100644
--- a/frontend/app/components/BenchmarksTable.tsx
+++ b/frontend/app/components/BenchmarksTable.tsx
@@ -1,52 +1,52 @@
 "use client";
 
 import { useMemo, useState, useEffect, useCallback, useRef } from "react";
-import { useSearchParams, useRouter } from "next/navigation";
+import { useSearchParams } from "next/navigation";
+import { useVirtualizer } from "@tanstack/react-virtual";
 import styles from "./BenchmarksTable.module.css";
 import ComparePanel, { CompareStickyBar } from "./ComparePanel";
 import { formatCodecLabel } from "./codecLabel";
-
-export type Benchmark = {
-  id: string;
-  createdAt: string;
-  cpuModel: string;
-  gpuModel: string | null;
-  ramGB: number;
-  os: string;
-  codec: string;
-  // CRF is optional depending on encoder; when absent show "-"
-  crf?: number | null;
-  preset: string;
-  fps: number;
-  vmaf: number | null;
-  fileSizeBytes: number;
-  notes: string | null;
-  ffmpegVersion?: string | null;
-  encoderName?: string | null;
-  clientVersion?: string | null;
-  inputHash?: string | null;
-  runMs?: number | null;
-  status?: string | null;
-  // Aggregation counts (available from server)
-  samples?: number;
-  vmafSamples?: number;
-};
-
-// Extended type for benchmarks with computed scores
-type EnrichedBenchmark = Benchmark & {
-  _plove: number;
+import { fetchFilteredBenchmarks } from "../lib/fetchBenchmarksClient";
+import type { Benchmark } from "../lib/types";
+import { createPlScoreContext, scorePlBenchmarkV6 } from "../lib/plScore";
+
+export type { Benchmark } from "../lib/types";
+
+const PAGE_SIZE = 50;
+const COL_WIDTHS = "4% 9% 17% 17% 13% 7% 11% 12% 7% 7%";
+
+// Intermediate type with per-row metrics (expensive computation, cached separately)
+type PerRowMetrics = Benchmark & {
+  _q: number;       // quality component
+  _s: number;       // size component
+  _sp: number;      // speed component
+  _eff: number;     // efficiency component
+  _rel: number;     // reliability component
+  _confidence: number;
   _relSize: number;
   _codecLabel: string;
   _isHardware: boolean;
 };
 
-type SortKey = "cpuModel" | "gpuModel" | "codec" | "crf" | "preset" | "_plove";
+// Extended type for benchmarks with computed scores
+type EnrichedBenchmark = PerRowMetrics & {
+  _plScore: number;
+};
+
+const CONTENT_CLASS_LABELS: Record<string, string> = {
+  mixed: "Mixed (Original)",
+  talkingHead: "Talking Head",
+  action: "Action / Sports",
+  animation: "Animation / Cartoon",
+  screen: "Screen Recording",
+  nature: "Nature / Documentary",
+  gaming: "Gaming",
+};
+
+type SortKey = "cpuModel" | "gpuModel" | "codec" | "crf" | "preset" | "_plScore";
 
 export default function BenchmarksTable({ initialData }: { initialData: Benchmark[] }) {
   const searchParams = useSearchParams();
-  const router = useRouter();
-  const routerRef = useRef(router);
-  useEffect(() => { routerRef.current = router; }, [router]);
   const isInitRef = useRef(false);
 
   const [cpuFilter, setCpuFilter] = useState(() => searchParams.get("cpu") || "");
@@ -55,41 +55,49 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
   const [presetFilter, setPresetFilter] = useState(() => searchParams.get("preset") || "");
   const [sortKey, setSortKey] = useState<SortKey>(() => {
     const s = searchParams.get("sort");
-    if (s && ["cpuModel", "gpuModel", "codec", "crf", "preset", "_plove"].includes(s)) return s as SortKey;
-    return "_plove";
+    if (s === "_plove") return "_plScore"; // backward compatibility with older links
+    if (s && ["cpuModel", "gpuModel", "codec", "crf", "preset", "_plScore"].includes(s)) return s as SortKey;
+    return "_plScore";
   });
   const [sortDir, setSortDir] = useState<"asc" | "desc">(() => {
     const d = searchParams.get("dir");
     return d === "asc" ? "asc" : "desc";
   });
+  // Multi-content filters (Sprint 5)
+  const [contentClassFilter, setContentClassFilter] = useState(() => searchParams.get("cc") || "");
+  const [resolutionFilter, setResolutionFilter] = useState(() => searchParams.get("res") || "");
+  const [passesFilter, setPassesFilter] = useState(() => searchParams.get("passes") || "");
   // Encoder type filters
   const [softwareOnly, setSoftwareOnly] = useState<boolean>(() => searchParams.get("sw") === "1");
   const [hardwareOnly, setHardwareOnly] = useState<boolean>(() => searchParams.get("hw") === "1");
 
-  // Sync filter state to URL search params (debounced to avoid excessive updates)
+  // Sync filter state to URL search params using native replaceState (F-07)
   const urlDebounceRef = useRef<ReturnType<typeof setTimeout> | null>(null);
   useEffect(() => {
     if (!isInitRef.current) { isInitRef.current = true; return; }
     if (urlDebounceRef.current) clearTimeout(urlDebounceRef.current);
     urlDebounceRef.current = setTimeout(() => {
+      if (typeof window === "undefined") return;
       const params = new URLSearchParams();
       if (cpuFilter) params.set("cpu", cpuFilter);
       if (gpuFilter) params.set("gpu", gpuFilter);
       if (codecFilter) params.set("codec", codecFilter);
       if (presetFilter) params.set("preset", presetFilter);
-      if (sortKey !== "_plove") params.set("sort", sortKey);
+      if (sortKey !== "_plScore") params.set("sort", sortKey);
       if (sortDir !== "desc") params.set("dir", sortDir);
+      if (contentClassFilter) params.set("cc", contentClassFilter);
+      if (resolutionFilter) params.set("res", resolutionFilter);
+      if (passesFilter) params.set("passes", passesFilter);
       if (softwareOnly) params.set("sw", "1");
       if (hardwareOnly) params.set("hw", "1");
       const qs = params.toString();
-      const base = typeof window !== "undefined" ? window.location.pathname : "/";
-      routerRef.current.replace(qs ? `${base}?${qs}` : base, { scroll: false });
+      const base = window.location.pathname;
+      window.history.replaceState(null, "", qs ? `${base}?${qs}` : base);
     }, 300);
     return () => { if (urlDebounceRef.current) clearTimeout(urlDebounceRef.current); };
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, sortKey, sortDir, softwareOnly, hardwareOnly]);
+  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, sortKey, sortDir, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
 
-  // Weights for PLOVE score (sum must equal 1.0)
+  // Core PL Score v6 weights (sum normalized to 1.0)
   const [wQuality, setWQuality] = useState<number>(1 / 3);
   const [wSize, setWSize] = useState<number>(1 / 3);
   const [wSpeed, setWSpeed] = useState<number>(1 / 3);
@@ -122,17 +130,71 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
   }, []);
   const clearSelection = useCallback(() => { setSelectedIds(new Set()); setShowCompare(false); }, []);
 
+  // Server-side filtering state (F-02)
+  const [serverData, setServerData] = useState<Benchmark[] | null>(null);
+  const [serverTotal, setServerTotal] = useState(0);
+  const [page, setPage] = useState(0);
+  const [fetching, setFetching] = useState(false);
+
+  // Debounced server-side fetch when filters change
+  const fetchDebounceRef = useRef<ReturnType<typeof setTimeout> | null>(null);
+  useEffect(() => {
+    if (fetchDebounceRef.current) clearTimeout(fetchDebounceRef.current);
+    fetchDebounceRef.current = setTimeout(() => {
+      const params: Record<string, string> = {
+        limit: String(PAGE_SIZE),
+        skip: String(page * PAGE_SIZE),
+        total: "1",
+      };
+      if (cpuFilter.trim()) params.cpu = cpuFilter.trim();
+      if (gpuFilter.trim()) params.gpu = gpuFilter.trim();
+      if (codecFilter.trim()) params.codecSearch = codecFilter.trim();
+      setFetching(true);
+      fetchFilteredBenchmarks(params)
+        .then(({ data, total }) => { setServerData(data); setServerTotal(total); })
+        .catch(() => { setServerData(null); }) // fallback to client-side
+        .finally(() => setFetching(false));
+    }, 300);
+    return () => { if (fetchDebounceRef.current) clearTimeout(fetchDebounceRef.current); };
+  }, [cpuFilter, gpuFilter, codecFilter, page]);
+
+  // Reset page when filters change
+  const prevFiltersRef = useRef({ cpuFilter, gpuFilter, codecFilter });
+  useEffect(() => {
+    const prev = prevFiltersRef.current;
+    if (prev.cpuFilter !== cpuFilter || prev.gpuFilter !== gpuFilter || prev.codecFilter !== codecFilter) {
+      setPage(0);
+      prevFiltersRef.current = { cpuFilter, gpuFilter, codecFilter };
+    }
+  }, [cpuFilter, gpuFilter, codecFilter]);
+
+  // Use server data if available, otherwise fall back to initialData
+  const activeData = serverData ?? initialData;
+  const totalRows = serverData ? serverTotal : initialData.length;
+  const totalPages = Math.max(1, Math.ceil(totalRows / PAGE_SIZE));
+
   const codecs = useMemo(() => Array.from(new Set(initialData.map(d => d.codec))).sort(), [initialData]);
   const presets = useMemo(() => Array.from(new Set(initialData.map(d => d.preset))).sort(), [initialData]);
-  const filteredPresets = useMemo(() => codecFilter ? presetsForCodec(initialData, codecFilter) : presets, [initialData, codecFilter, presets]);
+  const contentClasses = useMemo(() => Array.from(new Set(initialData.map(d => d.contentClass ?? "mixed"))).sort(), [initialData]);
+  const resolutions = useMemo(() => {
+    const order = ["480p", "720p", "1080p", "1440p", "4k"];
+    const set = new Set(initialData.map(d => d.resolution ?? "1080p"));
+    return order.filter(r => set.has(r));
+  }, [initialData]);
+  const filteredPresets = useMemo(() => {
+    if (!codecFilter) return presets;
+    const lower = codecFilter.toLowerCase();
+    const matching = initialData.filter(r => r.codec.toLowerCase().includes(lower));
+    return Array.from(new Set(matching.map(r => r.preset))).sort();
+  }, [initialData, codecFilter, presets]);
 
   // Pre-compute hardware encoder classification once per row to avoid repeated regex tests
   const dataWithHwClass = useMemo(() => {
-    return initialData.map(row => {
+    return activeData.map(row => {
       const encLower = (row.encoderName ?? row.codec ?? "").toLowerCase();
       return { ...row, _isHardware: isHardwareEncoder(encLower) };
     });
-  }, [initialData]);
+  }, [activeData]);
 
   const filtered = useMemo(() => {
     const cpu = cpuFilter.trim().toLowerCase();
@@ -140,75 +202,51 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
     return dataWithHwClass.filter(row => {
       if (cpu && !row.cpuModel.toLowerCase().includes(cpu)) return false;
       if (gpu && !(row.gpuModel ?? "").toLowerCase().includes(gpu)) return false;
-      if (codecFilter && row.codec !== codecFilter) return false;
-      if (codecFilter && presetFilter && row.preset !== presetFilter) return false;
+      if (codecFilter && !row.codec.toLowerCase().includes(codecFilter.toLowerCase())) return false;
+      if (presetFilter && row.preset !== presetFilter) return false;
+      if (contentClassFilter && (row.contentClass ?? "mixed") !== contentClassFilter) return false;
+      if (resolutionFilter && (row.resolution ?? "1080p") !== resolutionFilter) return false;
+      if (passesFilter && String(row.passes ?? 1) !== passesFilter) return false;
       if (softwareOnly && !hardwareOnly) return !row._isHardware;
       if (hardwareOnly && !softwareOnly) return row._isHardware;
       return true;
     });
-  }, [dataWithHwClass, cpuFilter, gpuFilter, codecFilter, presetFilter, softwareOnly, hardwareOnly]);
-
-  // Compute relative size baseline (median size across filtered rows)
-  const sizeBaseline = useMemo(() => {
-    const sizes = filtered.map(r => r.fileSizeBytes).filter(s => s > 0).sort((a,b)=>a-b);
-    if (sizes.length === 0) return 1;
-    const mid = Math.floor(sizes.length / 2);
-    return sizes.length % 2 === 0 ? Math.max(1, Math.floor((sizes[mid-1] + sizes[mid]) / 2)) : Math.max(1, sizes[mid]);
-  }, [filtered]);
-
-  // Dataset min/max for normalization
-  const ranges = useMemo(() => {
-    const vmafVals = filtered.filter(r => typeof r.vmaf === "number").map(r => Number(r.vmaf));
-    const fpsVals = filtered.map(r => Math.max(0, r.fps || 0));
-    const relSizes = filtered.map(r => (r.fileSizeBytes > 0 ? r.fileSizeBytes / sizeBaseline : 1));
-    let vmafMin = 0, vmafMax = 0, fpsMin = 0, fpsMax = 0, rsMin = 0, rsMax = 0;
-    if (vmafVals.length) { vmafMin = vmafVals[0]; vmafMax = vmafVals[0]; for (const v of vmafVals) { if (v < vmafMin) vmafMin = v; if (v > vmafMax) vmafMax = v; } }
-    if (fpsVals.length) { fpsMin = fpsVals[0]; fpsMax = fpsVals[0]; for (const v of fpsVals) { if (v < fpsMin) fpsMin = v; if (v > fpsMax) fpsMax = v; } }
-    if (relSizes.length) { rsMin = relSizes[0]; rsMax = relSizes[0]; for (const v of relSizes) { if (v < rsMin) rsMin = v; if (v > rsMax) rsMax = v; } }
-    return { vmafMin, vmafMax, fpsMin, fpsMax, rsMin, rsMax };
-  }, [filtered, sizeBaseline]);
+  }, [dataWithHwClass, cpuFilter, gpuFilter, codecFilter, presetFilter, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
 
-  const withScores = useMemo((): EnrichedBenchmark[] => {
-    function qualityScore(vmaf: number | null | undefined): number {
-      if (typeof vmaf !== "number") return 100;
-      const v = Math.max(0, Math.min(100, vmaf));
-      if (v >= 90) {
-        return 50 + 50 * Math.sqrt((v - 90) / 10);
-      }
-      return 50 * Math.pow(v / 90, 4);
-    }
-    function sizeScore(rel: number): number {
-      if (!(ranges.rsMax > ranges.rsMin)) return 100;
-      return 100 * (ranges.rsMax - rel) / (ranges.rsMax - ranges.rsMin);
-    }
-    function speedScore(fps: number): number {
-      const f = Math.max(0, fps || 0);
-      if (!(ranges.fpsMax > 0 && ranges.fpsMin > 0)) return 0;
-      if (ranges.fpsMax === ranges.fpsMin) return 100;
-      const logF = Math.log(f > 0 ? f : ranges.fpsMin);
-      const logMin = Math.log(ranges.fpsMin);
-      const logMax = Math.log(ranges.fpsMax);
-      return 100 * (logF - logMin) / (logMax - logMin);
-    }
+  const plContext = useMemo(() => createPlScoreContext(filtered), [filtered]);
 
-    return filtered.map((row): EnrichedBenchmark => {
-      const relSize = row.fileSizeBytes > 0 ? row.fileSizeBytes / sizeBaseline : 1;
+  // Stage 1: compute PL Score v6 components that are independent from user weights
+  const perRowMetrics = useMemo((): PerRowMetrics[] => {
+    return filtered.map((row): PerRowMetrics => {
+      const relSize = row.fileSizeBytes > 0 ? row.fileSizeBytes / plContext.sizeBaseline : 1;
       const encoder = (row.encoderName ?? row.codec ?? "").toLowerCase();
       const codecLabel = formatCodecLabel(encoder);
+      const scored = scorePlBenchmarkV6(row, plContext, { quality: 1 / 3, size: 1 / 3, speed: 1 / 3 });
+      return {
+        ...row,
+        _q: scored.quality,
+        _s: scored.size,
+        _sp: scored.speed,
+        _eff: scored.efficiency,
+        _rel: scored.reliability,
+        _confidence: scored.measurementConfidence,
+        _relSize: relSize,
+        _codecLabel: codecLabel,
+      };
+    });
+  }, [filtered, plContext]);
 
-      if (relSize >= 1) {
-        return { ...row, _plove: 0, _relSize: relSize, _codecLabel: codecLabel };
-      }
-
-      const q = qualityScore(row.vmaf);
-      const s = sizeScore(relSize);
-      const sp = speedScore(row.fps);
-      const prelim = wQuality * q + wSize * s + wSpeed * sp;
-      const plove = Math.max(0, Math.min(100, prelim));
-
-      return { ...row, _plove: plove, _relSize: relSize, _codecLabel: codecLabel };
+  // Stage 2: recompute final PL score when weights change
+  const withScores = useMemo((): EnrichedBenchmark[] => {
+    return perRowMetrics.map((row): EnrichedBenchmark => {
+      const scored = scorePlBenchmarkV6(row, plContext, {
+        quality: wQuality,
+        size: wSize,
+        speed: wSpeed,
+      });
+      return { ...row, _plScore: scored.total };
     });
-  }, [filtered, ranges, wQuality, wSize, wSpeed, sizeBaseline]);
+  }, [perRowMetrics, plContext, wQuality, wSize, wSpeed]);
 
   const sorted = useMemo((): EnrichedBenchmark[] => {
     const data = [...withScores];
@@ -216,7 +254,7 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       const mul = sortDir === "asc" ? 1 : -1;
       const getValue = (row: EnrichedBenchmark): string | number | null => {
         if (sortKey === "codec") return row._codecLabel;
-        if (sortKey === "_plove") return row._plove;
+        if (sortKey === "_plScore") return row._plScore;
         return row[sortKey] ?? null;
       };
       const av = getValue(a);
@@ -240,12 +278,27 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
 
   function applyWeightsFromUI() {
     const sum = uiQuality + uiSize + uiSpeed;
-    const safe = sum > 0 ? sum : 1;
-    setWQuality(uiQuality / safe);
-    setWSize(uiSize / safe);
-    setWSpeed(uiSpeed / safe);
+    if (sum <= 0) {
+      // All sliders at zero: reset to equal weights (B-F02)
+      const d = 1 / 3;
+      setWQuality(d);
+      setWSize(d);
+      setWSpeed(d);
+      setUiQuality(d);
+      setUiSize(d);
+      setUiSpeed(d);
+      return;
+    }
+    setWQuality(uiQuality / sum);
+    setWSize(uiSize / sum);
+    setWSpeed(uiSpeed / sum);
   }
 
+  const weightsNeedNormalization = useMemo(() => {
+    const sum = uiQuality + uiSize + uiSpeed;
+    return sum > 0 && Math.abs(sum - 1.0) > 0.05;
+  }, [uiQuality, uiSize, uiSpeed]);
+
   return (
     <div>
       <div className={styles.filterGrid}>
@@ -261,18 +314,26 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
           onChange={e => setGpuFilter(e.target.value)}
           className="input"
         />
-        <select value={codecFilter} onChange={e => { setCodecFilter(e.target.value); setPresetFilter(""); }} className="input">
-          <option value="">All codecs</option>
-          {codecs.map(c => (<option key={c} value={c}>{c}</option>))}
-        </select>
+        <div>
+          <input
+            list="codec-options"
+            placeholder="Filter codec (type to search)"
+            value={codecFilter}
+            onChange={e => { setCodecFilter(e.target.value); setPresetFilter(""); }}
+            className="input"
+          />
+          <datalist id="codec-options">
+            {codecs.map(c => (<option key={c} value={c} />))}
+          </datalist>
+        </div>
         <select
           value={presetFilter}
           onChange={e => setPresetFilter(e.target.value)}
-          className={`input${codecFilter ? "" : ` ${styles.presetDisabled}`}`}
-          disabled={!codecFilter}
-          aria-disabled={!codecFilter}
-          aria-label={!codecFilter ? "Preset filter (select a codec first)" : "Filter by preset"}
-          title={!codecFilter ? "Select a codec first" : undefined}
+          className={`input${codecFilter && filteredPresets.length > 0 ? "" : ` ${styles.presetDisabled}`}`}
+          disabled={!codecFilter || filteredPresets.length === 0}
+          aria-disabled={!codecFilter || filteredPresets.length === 0}
+          aria-label={!codecFilter ? "Preset filter (type a codec first)" : "Filter by preset"}
+          title={!codecFilter ? "Type a codec first" : undefined}
         >
           <option value="">All presets</option>
           {filteredPresets.map(p => (<option key={p} value={p}>{p}</option>))}
@@ -280,104 +341,69 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       </div>
 
       <div className={styles.encoderFilters}>
+        <select value={contentClassFilter} onChange={e => setContentClassFilter(e.target.value)} className="input" aria-label="Filter by content class">
+          <option value="">All content</option>
+          {contentClasses.map(cc => (<option key={cc} value={cc}>{CONTENT_CLASS_LABELS[cc] ?? cc}</option>))}
+        </select>
+        <select value={resolutionFilter} onChange={e => setResolutionFilter(e.target.value)} className="input" aria-label="Filter by resolution">
+          <option value="">All resolutions</option>
+          {resolutions.map(r => (<option key={r} value={r}>{r}</option>))}
+        </select>
+        <select value={passesFilter} onChange={e => setPassesFilter(e.target.value)} className="input" aria-label="Filter by encoding passes">
+          <option value="">All passes</option>
+          <option value="1">1-pass (CRF)</option>
+          <option value="2">2-pass (CBR/VBR)</option>
+        </select>
         <label className={`btn ${styles.encoderFilterLabel}${softwareOnly ? ` ${styles.encoderFilterActive}` : ""}`}>
           <input type="checkbox" checked={softwareOnly} onChange={e => { const v = e.target.checked; setSoftwareOnly(v); if (v) setHardwareOnly(false); }} />
-          Software Encoders Only
+          Software Only
         </label>
         <label className={`btn ${styles.encoderFilterLabel}${hardwareOnly ? ` ${styles.encoderFilterActive}` : ""}`}>
           <input type="checkbox" checked={hardwareOnly} onChange={e => { const v = e.target.checked; setHardwareOnly(v); if (v) setSoftwareOnly(false); }} />
-          Hardware Encoders Only
+          Hardware Only
         </label>
       </div>
 
       <div className={styles.weightsGrid}>
         <div>
-          <div className={styles.weightsLabel}>Scoring Weights</div>
-          <div className={`subtle ${styles.weightSliderValue}`}>Sum is constrained to 1.00</div>
+          <div className={styles.weightsLabel}>PL Score v6 Core Weights</div>
+          <div className={`subtle ${styles.weightSliderValue}`}>Quality, Size, and Speed are normalized to sum to 1.00</div>
         </div>
-        <WeightSlider label="Quality (VMAF)" value={uiQuality} onChange={setUiQuality} />
+        <WeightSlider label="Quality (VMAF/SSIM/PSNR)" value={uiQuality} onChange={setUiQuality} />
         <WeightSlider label="Size" value={uiSize} onChange={setUiSize} />
         <WeightSlider label="Speed (FPS)" value={uiSpeed} onChange={setUiSpeed} />
       </div>
 
       <div className={styles.weightsActions}>
         <div className={`subtle ${styles.appliedWeights}`}>Applied: Q {wQuality.toFixed(2)} • S {wSize.toFixed(2)} • V {wSpeed.toFixed(2)}</div>
+        {weightsNeedNormalization && (
+          <div className={styles.weightWarning}>Sliders will be normalized to sum to 1.0 on Apply</div>
+        )}
         <button className={`btn ${styles.actionBtn}`} onClick={resetWeights}>Reset</button>
         <button className={`btn ${styles.applyBtn}`} onClick={applyWeightsFromUI}>Apply</button>
       </div>
 
-      <div className={`card ${styles.cardOverflow}`}>
-        <table className="table">
-          {(() => {
-            const cols = [
-              <col key="select" style={{ width: "4%" }} />,
-              <col key="details" style={{ width: "9%" }} />,
-              <col key="cpu" style={{ width: "17%" }} />,
-              <col key="gpu" style={{ width: "17%" }} />,
-              <col key="codec" style={{ width: "13%" }} />,
-              <col key="crf" style={{ width: "7%" }} />,
-              <col key="preset" style={{ width: "11%" }} />,
-              <col key="plove" style={{ width: "12%" }} />,
-              <col key="ffmpeg" style={{ width: "7%" }} />,
-              <col key="samples" style={{ width: "7%" }} />,
-            ];
-            return <colgroup>{cols}</colgroup>;
-          })()}
-          <thead className="thead">
-            <tr>
-              <th className={`th ${styles.textCenter}`} style={{ padding: "8px 4px" }}></th>
-              <th className={`th ${styles.textCenter}`}>Details</th>
-              <Th onClick={() => setSort("cpuModel")} label="CPU" active={sortKey === "cpuModel"} dir={sortDir} />
-              <Th onClick={() => setSort("gpuModel")} label="GPU" active={sortKey === "gpuModel"} dir={sortDir} />
-              <Th onClick={() => setSort("codec")} label="Codec" active={sortKey === "codec"} dir={sortDir} />
-              <Th onClick={() => setSort("crf")} label="CRF" active={sortKey === "crf"} dir={sortDir} align="right" />
-              <Th onClick={() => setSort("preset")} label="Preset" active={sortKey === "preset"} dir={sortDir} />
-              <Th onClick={() => setSort("_plove")} label="PLOVE Score" active={sortKey === "_plove"} dir={sortDir} align="right" />
-              <th className={`th ${styles.textCenter}`}>FFmpeg</th>
-              <th className={`th ${styles.textCenter}`} title="Number of accepted submissions aggregated into this profile">Subs</th>
-            </tr>
-          </thead>
-          <tbody>
-            {sorted.map(row => (
-              <tr key={row.id} style={selectedIds.has(row.id) ? { background: "color-mix(in srgb, var(--highlight) 20%, var(--surface))" } : undefined}>
-                <td className={`td ${styles.textCenter}`} style={{ padding: "8px 4px" }}>
-                  <input
-                    type="checkbox"
-                    checked={selectedIds.has(row.id)}
-                    onChange={() => toggleSelect(row.id)}
-                    disabled={!selectedIds.has(row.id) && selectedIds.size >= 6}
-                    aria-label="Select for comparison"
-                    style={{ accentColor: "var(--accent)" }}
-                  />
-                </td>
-                <td className={`td ${styles.textCenter}`}>
-                  <button onClick={() => setShowDetailId(row.id)} className={`btn ${styles.hoverBtn}`} aria-label="View details">
-                    Details
-                  </button>
-                </td>
-                <td className="td">{renderHardwareLink(row.cpuModel, "cpu")}</td>
-                <td className="td">{renderGpuCell(row)}</td>
-                <td className="td">{row._codecLabel}</td>
-                <td className={`td ${styles.textRight}`}>{row.crf == null ? "-" : row.crf}</td>
-                <td className="td">{row.preset}</td>
-                <td className={`td ${styles.textRight}`}>{row._plove > 0 ? row._plove.toFixed(2) : "-"}</td>
-                <td className={`td ${styles.textCenter}`}>
-                  <button onClick={() => setShowFfmpegId(row.id)} className={`btn ${styles.hoverBtn}`} aria-label="View ffmpeg command">
-                    FFmpeg
-                  </button>
-                </td>
-                <td className={`td ${styles.textCenter}`}>{typeof row.samples === "number" ? row.samples : "-"}</td>
-              </tr>
-            ))}
-            {sorted.length === 0 && (
-              <tr>
-                <td colSpan={10} className={`td ${styles.noResults}`}>
-                  No results for current filters.
-                </td>
-              </tr>
-            )}
-          </tbody>
-        </table>
+      <VirtualTable
+        sorted={sorted}
+        selectedIds={selectedIds}
+        toggleSelect={toggleSelect}
+        setShowDetailId={setShowDetailId}
+        setShowFfmpegId={setShowFfmpegId}
+        sortKey={sortKey}
+        sortDir={sortDir}
+        setSort={setSort}
+        fetching={fetching}
+      />
+
+      <div className={styles.paginationBar}>
+        <span className="subtle">
+          Showing {sorted.length === 0 ? 0 : page * PAGE_SIZE + 1}-{Math.min((page + 1) * PAGE_SIZE, totalRows)} of {totalRows}
+        </span>
+        <div style={{ display: "flex", gap: 8, alignItems: "center" }}>
+          <button className="btn" style={{ padding: "6px 10px" }} disabled={page === 0} onClick={() => setPage(p => Math.max(0, p - 1))}>Prev</button>
+          <span>Page {page + 1} of {totalPages}</span>
+          <button className="btn" style={{ padding: "6px 10px" }} disabled={page >= totalPages - 1} onClick={() => setPage(p => p + 1)}>Next</button>
+        </div>
       </div>
 
       {showDetailId && (() => {
@@ -411,50 +437,194 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
   );
 }
 
-function Th({ label, onClick, active, dir, align }: { label: string; onClick: () => void; active: boolean; dir: "asc" | "desc"; align?: "left" | "right" }) {
+function VirtualTable({ sorted, selectedIds, toggleSelect, setShowDetailId, setShowFfmpegId, sortKey, sortDir, setSort, fetching }: { sorted: EnrichedBenchmark[]; selectedIds: Set<string>; toggleSelect: (id: string) => void; setShowDetailId: (id: string | null) => void; setShowFfmpegId: (id: string | null) => void; sortKey: SortKey; sortDir: "asc" | "desc"; setSort: (key: SortKey) => void; fetching: boolean }) {
+  const parentRef = useRef<HTMLDivElement>(null);
+  const virtualizer = useVirtualizer({ count: sorted.length, getScrollElement: () => parentRef.current, estimateSize: () => 48, overscan: 10 });
   return (
-    <th
-      onClick={onClick}
-      className={`th ${styles.sortable}`}
-      style={{ textAlign: align || "left" }}
-      title="Click to sort"
-      aria-sort={active ? (dir === "asc" ? "ascending" : "descending") : "none"}
-      role="columnheader"
-    >
-      {label}
-      {active && (
-        <span aria-hidden="true" className={styles.sortIndicator}>
-          {dir === "asc" ? "\u25B2" : "\u25BC"}
-        </span>
-      )}
-    </th>
+    <div className={`card ${styles.cardOverflow}`}>
+      <div className={styles.virtualHeader} role="row" style={{ display: "grid", gridTemplateColumns: COL_WIDTHS }}>
+        <div className={`th ${styles.textCenter}`} role="columnheader" style={{ padding: "8px 4px" }}></div>
+        <div className={`th ${styles.textCenter}`} role="columnheader">Details</div>
+        <ThDiv onClick={() => setSort("cpuModel")} label="CPU" active={sortKey === "cpuModel"} dir={sortDir} />
+        <ThDiv onClick={() => setSort("gpuModel")} label="GPU" active={sortKey === "gpuModel"} dir={sortDir} />
+        <ThDiv onClick={() => setSort("codec")} label="Codec" active={sortKey === "codec"} dir={sortDir} />
+        <ThDiv onClick={() => setSort("crf")} label="CRF" active={sortKey === "crf"} dir={sortDir} align="right" />
+        <ThDiv onClick={() => setSort("preset")} label="Preset" active={sortKey === "preset"} dir={sortDir} />
+        <ThDiv onClick={() => setSort("_plScore")} label="PL Score v6" active={sortKey === "_plScore"} dir={sortDir} align="right" />
+        <div className={`th ${styles.textCenter}`} role="columnheader">FFmpeg</div>
+        <div className={`th ${styles.textCenter}`} role="columnheader" title="Accepted submissions">Subs</div>
+      </div>
+      <div ref={parentRef} className={styles.virtualScrollContainer} role="table">
+        <div style={{ height: virtualizer.getTotalSize(), width: "100%", position: "relative" }}>
+          {fetching && sorted.length === 0 && <div style={{ padding: 16, textAlign: "center", color: "var(--muted)" }}>Loading...</div>}
+          {virtualizer.getVirtualItems().map(vr => {
+            const row = sorted[vr.index];
+            return (
+              <div key={row.id} role="row" className={styles.virtualRow} style={{ position: "absolute", top: 0, left: 0, width: "100%", height: vr.size, transform: `translateY(${vr.start}px)`, display: "grid", gridTemplateColumns: COL_WIDTHS, background: selectedIds.has(row.id) ? "color-mix(in srgb, var(--highlight) 20%, var(--surface))" : undefined }}>
+                <div role="cell" className={`td ${styles.textCenter}`} style={{ padding: "8px 4px" }}><input type="checkbox" checked={selectedIds.has(row.id)} onChange={() => toggleSelect(row.id)} disabled={!selectedIds.has(row.id) && selectedIds.size >= 6} aria-label="Select for comparison" style={{ accentColor: "var(--accent)" }} /></div>
+                <div role="cell" className={`td ${styles.textCenter}`}><button onClick={() => setShowDetailId(row.id)} className={`btn ${styles.hoverBtn}`} aria-label="View details">Details</button></div>
+                <div role="cell" className="td" style={{ overflow: "hidden", textOverflow: "ellipsis", whiteSpace: "nowrap" }}>{renderHardwareLink(row.cpuModel, "cpu")}</div>
+                <div role="cell" className="td" style={{ overflow: "hidden", textOverflow: "ellipsis", whiteSpace: "nowrap" }}>{renderGpuCell(row)}</div>
+                <div role="cell" className="td">{row._codecLabel}</div>
+                <div role="cell" className={`td ${styles.textRight}`}>{row.crf == null ? "-" : row.crf}</div>
+                <div role="cell" className="td">{row.preset}</div>
+                <div role="cell" className={`td ${styles.textRight}`}>{row._plScore > 0 ? row._plScore.toFixed(2) : "-"}</div>
+                <div role="cell" className={`td ${styles.textCenter}`}><button onClick={() => setShowFfmpegId(row.id)} className={`btn ${styles.hoverBtn}`} aria-label="View ffmpeg command">FFmpeg</button></div>
+                <div role="cell" className={`td ${styles.textCenter}`}>{typeof row.samples === "number" ? row.samples : "-"}</div>
+              </div>
+            );
+          })}
+          {sorted.length === 0 && !fetching && <div style={{ padding: 16, textAlign: "center", color: "var(--muted)" }}>No results for current filters.</div>}
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function ThDiv({ label, onClick, active, dir, align }: { label: string; onClick: () => void; active: boolean; dir: "asc" | "desc"; align?: "left" | "right" }) {
+  return (
+    <div onClick={onClick} className={`th ${styles.sortable}`} role="columnheader" style={{ textAlign: align || "left", cursor: "pointer" }} title="Click to sort" aria-sort={active ? (dir === "asc" ? "ascending" : "descending") : "none"}>
+      {label}{active && <span aria-hidden="true" className={styles.sortIndicator}>{dir === "asc" ? "\u25B2" : "\u25BC"}</span>}
+    </div>
   );
 }
 
 function DetailsModal({ row, onClose, relSize }: { row: EnrichedBenchmark; onClose: () => void; relSize: number }) {
+  const [showAdditional, setShowAdditional] = useState(false);
+
+  const acceptedSamplesRaw = typeof row.samples === "number" ? row.samples : 1;
+  const acceptedSamples = acceptedSamplesRaw > 0 ? acceptedSamplesRaw : 1;
+  const isAggregate = acceptedSamples > 1;
+  const aggregateSuffix = isAggregate ? " (avg)" : "";
+  const vmafSamples = typeof row.vmafSamples === "number" ? row.vmafSamples : row.vmaf != null ? acceptedSamples : 0;
+  const ssimSamples = typeof row.ssimSamples === "number" ? row.ssimSamples : row.ssim != null ? acceptedSamples : 0;
+  const psnrSamples = typeof row.psnrSamples === "number" ? row.psnrSamples : row.psnr != null ? acceptedSamples : 0;
+
   return (
     <div className="modal-backdrop" role="dialog" aria-modal="true" aria-labelledby="details-modal-title">
-      <div className="modal">
+      <div className={`modal ${styles.detailsModal}`}>
         <div className="modal-header">
           <div id="details-modal-title" className={styles.modalTitle}>Encode Details</div>
           <button onClick={onClose} className={`btn ${styles.modalCloseBtn}`} aria-label="Close details modal">Close</button>
         </div>
-        <div className={`modal-body ${styles.detailsGrid}`}>
-          <LabelValue label="Time" value={new Date(row.createdAt).toLocaleString()} />
-          <LabelValue label="RAM (GB)" value={String(row.ramGB)} />
-          <LabelValue label="OS" value={row.os} />
-          <LabelValue label="Encoder" value={(row.encoderName ?? row.codec) || "-"} />
-          <LabelValue label="FFmpeg Version" value={row.ffmpegVersion ?? "-"} />
-          <LabelValue label="FPS" value={row.fps.toFixed(2)} />
-          <LabelValue label="VMAF score" value={row.vmaf == null ? "-" : row.vmaf.toFixed(1)} />
-          <LabelValue label="Relative File Size" value={relSize.toFixed(2)} />
-          <LabelValue label="Submissions (accepted)" value={typeof row.samples === "number" ? String(row.samples) : "-"} />
+        <div className={`modal-body ${styles.detailsBody}`}>
+          <div className={styles.detailsOverviewGrid}>
+            <div className={styles.aggregateCard}>
+              <div className={styles.aggregateHeader}>
+                <div>
+                  <div className={styles.aggregateTitle}>{isAggregate ? "Aggregate settings row" : "Single-submission row"}</div>
+                  <div className={`subtle ${styles.aggregateSubtitle}`}>
+                    {isAggregate
+                      ? `Averages across ${acceptedSamples} accepted submissions with identical CPU/GPU, codec, preset, CRF, content class, resolution, and pass count.`
+                      : "One accepted submission currently exists for this exact settings profile."}
+                  </div>
+                </div>
+                <div className={`${styles.aggregateBadge} ${isAggregate ? styles.aggregateBadgeMany : styles.aggregateBadgeSingle}`}>
+                  {acceptedSamples} {acceptedSamples === 1 ? "submission" : "submissions"}
+                </div>
+              </div>
+              <div className={styles.samplePills}>
+                <SamplePill label="VMAF n" count={vmafSamples} />
+                <SamplePill label="SSIM n" count={ssimSamples} />
+                <SamplePill label="PSNR n" count={psnrSamples} />
+              </div>
+            </div>
+
+            <div className={styles.keyCard}>
+              <div className={`subtle ${styles.sectionTitle}`}>Key performance snapshot</div>
+              <div className={styles.keyStatsGrid}>
+                <KeyStat label="PL Score v6" value={row._plScore.toFixed(2)} />
+                <KeyStat label={`FPS${aggregateSuffix}`} value={row.fps.toFixed(2)} />
+                <KeyStat label={`VMAF${aggregateSuffix}`} value={row.vmaf == null ? "-" : row.vmaf.toFixed(1)} />
+                <KeyStat label={`Relative Size${aggregateSuffix}`} value={relSize.toFixed(2)} />
+                <KeyStat label={`FPS/Watt${aggregateSuffix}`} value={row.fpsPerWatt != null ? row.fpsPerWatt.toFixed(2) : "-"} />
+                <KeyStat label={`Quality/Watt${aggregateSuffix}`} value={row.qualityPerWatt != null ? row.qualityPerWatt.toFixed(2) : "-"} />
+              </div>
+            </div>
+          </div>
+
+          <div className={styles.configCard}>
+            <div className={`subtle ${styles.sectionTitle}`}>Configuration</div>
+            <div className={styles.configGrid}>
+              <ConfigRow label="CPU" value={row.cpuModel} />
+              <ConfigRow label="GPU" value={row.gpuModel ?? "N/A"} />
+              <ConfigRow label="Encoder" value={(row.encoderName ?? row.codec) || "-"} />
+              <ConfigRow label="Preset / CRF" value={`${row.preset} / ${row.crf == null ? "-" : row.crf}`} />
+              <ConfigRow label="Content Class" value={CONTENT_CLASS_LABELS[row.contentClass ?? "mixed"] ?? (row.contentClass || "mixed")} />
+              <ConfigRow label="Resolution / Passes" value={`${row.resolution ?? "1080p"} / ${row.passes === 2 ? "2-pass" : "1-pass"}`} />
+            </div>
+          </div>
+
+          <div className={styles.additionalToggleRow}>
+            <button
+              onClick={() => setShowAdditional(v => !v)}
+              className={`btn ${styles.additionalToggleBtn}`}
+              aria-expanded={showAdditional}
+              aria-controls="details-additional-data"
+            >
+              {showAdditional ? "Hide additional data" : "Show additional data"}
+            </button>
+          </div>
+
+          {showAdditional && (
+            <div id="details-additional-data" className={styles.additionalPanel}>
+              <div className={`subtle ${styles.sectionTitle}`}>Additional data</div>
+              <div className={styles.detailsGrid}>
+                <LabelValue label="First Seen" value={new Date(row.createdAt).toLocaleString()} />
+                <LabelValue label="RAM (GB)" value={String(row.ramGB)} />
+                <LabelValue label="OS" value={row.os} />
+                <LabelValue label="FFmpeg Version" value={row.ffmpegVersion ?? "-"} />
+                <LabelValue label="Run Duration (ms)" value={row.runMs != null ? String(Math.round(row.runMs)) : "-"} />
+                <LabelValue label="Thermal Throttle" value={row.thermalThrottle === true ? "Yes" : row.thermalThrottle === false ? "No" : "-"} />
+                <LabelValue label={`GPU Utilization${aggregateSuffix}`} value={row.gpuUtilAvg != null ? `${row.gpuUtilAvg.toFixed(1)}%` : "-"} />
+                <LabelValue label={`GPU Power${aggregateSuffix}`} value={row.gpuPowerAvgW != null ? `${row.gpuPowerAvgW.toFixed(1)} W` : "-"} />
+                <LabelValue label="GPU Memory Peak" value={row.gpuMemPeakMB != null ? `${Math.round(row.gpuMemPeakMB)} MB` : "-"} />
+                <LabelValue label={`CPU Utilization${aggregateSuffix}`} value={row.cpuUtilAvg != null ? `${row.cpuUtilAvg.toFixed(1)}%` : "-"} />
+                <LabelValue label="CPU Peak" value={row.cpuUtilMax != null ? `${row.cpuUtilMax.toFixed(1)}%` : "-"} />
+                <LabelValue label="Peak Memory" value={row.peakMemoryMB != null ? `${Math.round(row.peakMemoryMB)} MB` : "-"} />
+                <LabelValue label="PL Quality Component" value={row._q.toFixed(1)} />
+                <LabelValue label="PL Size Component" value={row._s.toFixed(1)} />
+                <LabelValue label="PL Speed Component" value={row._sp.toFixed(1)} />
+                <LabelValue label="PL Efficiency Component" value={row._eff.toFixed(1)} />
+                <LabelValue label="PL Reliability Component" value={row._rel.toFixed(1)} />
+                <LabelValue label="Metric Confidence" value={`${(row._confidence * 100).toFixed(0)}%`} />
+                <LabelValue label="Notes" value={row.notes && row.notes.trim() ? row.notes : "-"} />
+              </div>
+            </div>
+          )}
         </div>
       </div>
     </div>
   );
 }
 
+function SamplePill({ label, count }: { label: string; count: number }) {
+  return (
+    <div className={styles.samplePill}>
+      <span className="subtle">{label}</span>
+      <span className={styles.samplePillValue}>{count}</span>
+    </div>
+  );
+}
+
+function KeyStat({ label, value }: { label: string; value: string }) {
+  return (
+    <div className={styles.keyStat}>
+      <div className={styles.keyStatLabel}>{label}</div>
+      <div className={styles.keyStatValue}>{value}</div>
+    </div>
+  );
+}
+
+function ConfigRow({ label, value }: { label: string; value: string }) {
+  return (
+    <div className={styles.configRow}>
+      <div className={`subtle ${styles.configLabel}`}>{label}</div>
+      <div className={styles.configValue}>{value}</div>
+    </div>
+  );
+}
+
 function LabelValue({ label, value }: { label: string; value: string }) {
   return (
     <div className={styles.labelValueGroup}>
@@ -593,15 +763,14 @@ function renderGpuCell(row: Benchmark) {
 
 function isAppleSilicon(cpu: string | null | undefined): boolean {
   if (!cpu) return false;
-  const s = cpu.toLowerCase();
-  return s.includes("apple m1") || s.includes("apple m2") || s.includes("apple m3") || s.includes("apple m4") || s.includes("m1 ") || s.includes("m2 ") || s.includes("m3 ") || s.includes("m4 ");
+  return /\bapple\s+m\d/i.test(cpu);
 }
 
 function wikipediaAppleUrl(model: string): string | null {
-  const m = model.toLowerCase();
-  if (!m.includes("apple") && !m.startsWith("m")) return null;
-  const match = m.match(/\bm([1-5])\b/);
+  const match = model.match(/\bm(\d+)\b/i);
   if (!match) return null;
+  // Ensure it's actually an Apple chip reference
+  if (!/apple/i.test(model)) return null;
   const gen = match[1];
   return `https://en.wikipedia.org/wiki/Apple_M${gen}`;
 }
@@ -625,9 +794,3 @@ function WeightSlider({ label, value, onChange }: { label: string; value: number
     </label>
   );
 }
-
-function presetsForCodec(data: Benchmark[], codec: string): string[] {
-  const set = new Set<string>();
-  for (const r of data) if (r.codec === codec) set.add(r.preset);
-  return Array.from(set).sort();
-}
diff --git a/frontend/app/components/ComparePanel.tsx b/frontend/app/components/ComparePanel.tsx
index 8588641..b3fc916 100644
--- a/frontend/app/components/ComparePanel.tsx
+++ b/frontend/app/components/ComparePanel.tsx
@@ -3,7 +3,7 @@
 import type { Benchmark } from "./BenchmarksTable";
 import styles from "./ComparePanel.module.css";
 
-type CompareRow = Benchmark & { _plove: number; _relSize: number; _codecLabel: string };
+type CompareRow = Benchmark & { _plScore: number; _relSize: number; _codecLabel: string };
 
 type Metric = {
   label: string;
@@ -20,26 +20,33 @@ const METRICS: Metric[] = [
   { label: "Preset", getValue: r => r.preset, getNumeric: () => null, higherIsBetter: true },
   { label: "FPS", getValue: r => r.fps.toFixed(2), getNumeric: r => r.fps, higherIsBetter: true },
   { label: "VMAF", getValue: r => r.vmaf == null ? "-" : r.vmaf.toFixed(1), getNumeric: r => r.vmaf, higherIsBetter: true },
+  { label: "SSIM", getValue: r => r.ssim == null ? "-" : r.ssim.toFixed(4), getNumeric: r => r.ssim, higherIsBetter: true },
+  { label: "PSNR (dB)", getValue: r => r.psnr == null ? "-" : r.psnr.toFixed(2), getNumeric: r => r.psnr, higherIsBetter: true },
   { label: "File Size (MB)", getValue: r => (r.fileSizeBytes / (1024 * 1024)).toFixed(2), getNumeric: r => r.fileSizeBytes, higherIsBetter: false },
-  { label: "PLOVE Score", getValue: r => r._plove > 0 ? r._plove.toFixed(2) : "-", getNumeric: r => r._plove > 0 ? r._plove : null, higherIsBetter: true },
+  { label: "PL Score v6", getValue: r => r._plScore > 0 ? r._plScore.toFixed(2) : "-", getNumeric: r => r._plScore > 0 ? r._plScore : null, higherIsBetter: true },
+  { label: "GPU Util (%)", getValue: r => r.gpuUtilAvg != null ? r.gpuUtilAvg.toFixed(1) : "-", getNumeric: r => r.gpuUtilAvg ?? null, higherIsBetter: true },
+  { label: "GPU Power (W)", getValue: r => r.gpuPowerAvgW != null ? r.gpuPowerAvgW.toFixed(1) : "-", getNumeric: r => r.gpuPowerAvgW ?? null, higherIsBetter: false },
+  { label: "FPS/Watt", getValue: r => r.fpsPerWatt != null ? r.fpsPerWatt.toFixed(2) : "-", getNumeric: r => r.fpsPerWatt ?? null, higherIsBetter: true },
+  { label: "CPU Util (%)", getValue: r => r.cpuUtilAvg != null ? r.cpuUtilAvg.toFixed(1) : "-", getNumeric: r => r.cpuUtilAvg ?? null, higherIsBetter: false },
+  { label: "Peak Memory (MB)", getValue: r => r.peakMemoryMB != null ? Math.round(r.peakMemoryMB).toString() : "-", getNumeric: r => r.peakMemoryMB ?? null, higherIsBetter: false },
 ];
 
 function findBestIndex(rows: CompareRow[], metric: Metric): number | null {
+  const numericVals = rows.map(r => metric.getNumeric(r));
+  const nonNull = numericVals.filter(v => v != null);
+  if (nonNull.length < 2) return null;
+  if (nonNull.every(v => v === nonNull[0])) return null;
+
   let bestIdx: number | null = null;
   let bestVal: number | null = null;
   for (let i = 0; i < rows.length; i++) {
-    const v = metric.getNumeric(rows[i]);
+    const v = numericVals[i];
     if (v == null) continue;
     if (bestVal == null || (metric.higherIsBetter ? v > bestVal : v < bestVal)) {
       bestVal = v;
       bestIdx = i;
     }
   }
-  // Don't highlight if all values are the same
-  if (bestIdx !== null) {
-    const vals = rows.map(r => metric.getNumeric(r)).filter(v => v != null);
-    if (vals.length > 0 && vals.every(v => v === vals[0])) return null;
-  }
   return bestIdx;
 }
 
diff --git a/frontend/app/components/ContentRadarChart.tsx b/frontend/app/components/ContentRadarChart.tsx
new file mode 100644
index 0000000..1927acc
--- /dev/null
+++ b/frontend/app/components/ContentRadarChart.tsx
@@ -0,0 +1,163 @@
+"use client";
+
+import { useEffect, useMemo, useState } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const CONTENT_CLASSES = ["mixed", "talkingHead", "action", "animation", "screen", "nature", "gaming"] as const;
+const CONTENT_LABELS: Record<string, string> = {
+  mixed: "Mixed",
+  talkingHead: "Talking Head",
+  action: "Action",
+  animation: "Animation",
+  screen: "Screen",
+  nature: "Nature",
+  gaming: "Gaming",
+};
+const COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_SELECTOR = 10;
+const MAX_SELECTED = 6;
+
+type CodecData = { codec: string; samples: number; scores: Record<string, number> };
+
+function computeCodecScores(data: Benchmark[]): CodecData[] {
+  const map = new Map<string, Map<string, { vmafSum: number; count: number }>>();
+  for (const row of data) {
+    if (typeof row.vmaf !== "number") continue;
+    const cc = row.contentClass ?? "mixed";
+    if (!map.has(row.codec)) map.set(row.codec, new Map());
+    const ccMap = map.get(row.codec)!;
+    if (!ccMap.has(cc)) ccMap.set(cc, { vmafSum: 0, count: 0 });
+    const e = ccMap.get(cc)!;
+    e.vmafSum += row.vmaf;
+    e.count += 1;
+  }
+  return Array.from(map.entries())
+    .map(([codec, ccMap]) => {
+      const scores: Record<string, number> = {};
+      let samples = 0;
+      for (const cc of CONTENT_CLASSES) {
+        const e = ccMap.get(cc);
+        scores[cc] = e && e.count > 0 ? e.vmafSum / e.count : 0;
+        if (e) samples += e.count;
+      }
+      return { codec, samples, scores };
+    })
+    .sort((a, b) => b.samples - a.samples || a.codec.localeCompare(b.codec));
+}
+
+export default function ContentRadarChart({ data, title = "Encoder Quality by Content Class" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+  const allCodecs = useMemo(() => computeCodecScores(data), [data]);
+  const options = useMemo(() => allCodecs.slice(0, MAX_SELECTOR), [allCodecs]);
+  const [selected, setSelected] = useState<Set<string>>(() => new Set(allCodecs.slice(0, 4).map((d) => d.codec)));
+
+  useEffect(() => {
+    if (options.length === 0) return;
+    setSelected((prev) => {
+      const allowed = new Set(options.map((d) => d.codec));
+      const next = new Set(Array.from(prev).filter((c) => allowed.has(c)));
+      if (next.size === 0) options.slice(0, 4).forEach((d) => next.add(d.codec));
+      return next.size > MAX_SELECTED ? new Set(Array.from(next).slice(0, MAX_SELECTED)) : next;
+    });
+  }, [options]);
+
+  const activeClasses = useMemo(() => {
+    const seen = new Set(data.map((r) => r.contentClass ?? "mixed"));
+    return CONTENT_CLASSES.filter((cc) => seen.has(cc));
+  }, [data]);
+
+  // Color is stable: keyed to index in options, not selectedData
+  const colorOf = (codec: string) => {
+    const idx = options.findIndex((d) => d.codec === codec);
+    return COLORS[(idx >= 0 ? idx : 0) % COLORS.length];
+  };
+
+  const selectedData = options.filter((d) => selected.has(d.codec));
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "item",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg, fontSize: 12 },
+      formatter: (params: { name: string; value: number[] }) => {
+        const lines = activeClasses
+          .map((cc, i) => `${CONTENT_LABELS[cc] ?? cc}: <b>${(params.value[i] || 0).toFixed(1)}</b>`)
+          .join("<br/>");
+        return `<b>${params.name}</b><br/>${lines}`;
+      },
+    },
+    radar: {
+      indicator: activeClasses.map((cc) => ({ name: CONTENT_LABELS[cc] ?? cc, max: 100 })),
+      splitLine: { lineStyle: { color: t.border } },
+      axisLine: { lineStyle: { color: t.border } },
+      splitArea: { show: false },
+      axisName: { color: t.fg, fontSize: 11 },
+      center: ["50%", "50%"],
+      radius: "68%",
+    },
+    series: [
+      {
+        type: "radar",
+        data: selectedData.map((cd) => ({
+          name: cd.codec,
+          value: activeClasses.map((cc) => cd.scores[cc] || 0),
+          lineStyle: { color: colorOf(cd.codec), width: 2 },
+          areaStyle: { color: colorOf(cd.codec), opacity: 0.12 },
+          itemStyle: { color: colorOf(cd.codec) },
+          symbol: "circle",
+          symbolSize: 4,
+        })),
+      },
+    ],
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  }), [selectedData, activeClasses, t]);
+
+  if (allCodecs.length === 0 || activeClasses.length < 3) return null;
+
+  const toggle = (codec: string) => {
+    setSelected((prev) => {
+      const next = new Set(prev);
+      if (next.has(codec)) { next.delete(codec); }
+      else if (next.size < MAX_SELECTED) { next.add(codec); }
+      return next;
+    });
+  };
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ display: "flex", flexWrap: "wrap", gap: 5, marginBottom: 8, flex: "0 0 auto" }}>
+        {options.map((entry) => {
+          const isOn = selected.has(entry.codec);
+          const disabled = !isOn && selected.size >= MAX_SELECTED;
+          const color = colorOf(entry.codec);
+          return (
+            <button
+              key={entry.codec}
+              type="button"
+              title={`${entry.codec} (${entry.samples} samples)`}
+              onClick={() => !disabled && toggle(entry.codec)}
+              style={{
+                padding: "3px 10px",
+                borderRadius: 999,
+                fontSize: 11,
+                border: `1.5px solid ${isOn ? color : "var(--border)"}`,
+                background: isOn ? `color-mix(in srgb, ${color} 18%, var(--surface))` : "transparent",
+                color: "var(--foreground)",
+                cursor: disabled ? "not-allowed" : "pointer",
+                opacity: disabled ? 0.4 : 1,
+              }}
+            >
+              {entry.codec}
+            </button>
+          );
+        })}
+      </div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/CpuUtilHeatmap.tsx b/frontend/app/components/CpuUtilHeatmap.tsx
new file mode 100644
index 0000000..592b102
--- /dev/null
+++ b/frontend/app/components/CpuUtilHeatmap.tsx
@@ -0,0 +1,130 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const HEATMAP_KEY_SEP = "\u241F";
+const MAX_CODECS = 8;
+const MAX_PRESETS = 8;
+
+type Cell = { codec: string; preset: string; value: number; count: number };
+
+function computeHeatmapData(rows: Benchmark[]): { cells: Cell[]; codecs: string[]; presets: string[] } {
+  const sums = new Map<string, { total: number; count: number }>();
+  const codecCounts = new Map<string, number>();
+  const presetCounts = new Map<string, number>();
+  for (const row of rows) {
+    if (typeof row.cpuUtilAvg !== "number") continue;
+    const key = [row.codec, row.preset].join(HEATMAP_KEY_SEP);
+    const cur = sums.get(key) || { total: 0, count: 0 };
+    cur.total += row.cpuUtilAvg;
+    cur.count += 1;
+    sums.set(key, cur);
+    codecCounts.set(row.codec, (codecCounts.get(row.codec) || 0) + 1);
+    presetCounts.set(row.preset, (presetCounts.get(row.preset) || 0) + 1);
+  }
+  const codecs = Array.from(codecCounts.entries()).sort((a, b) => b[1] - a[1]).slice(0, MAX_CODECS).map(([c]) => c);
+  const presets = Array.from(presetCounts.entries()).sort((a, b) => b[1] - a[1]).slice(0, MAX_PRESETS).map(([p]) => p);
+  const allowed = { codecs: new Set(codecs), presets: new Set(presets) };
+  const cells: Cell[] = [];
+  for (const [key, agg] of sums.entries()) {
+    const [codec, preset] = key.split(HEATMAP_KEY_SEP);
+    if (!allowed.codecs.has(codec) || !allowed.presets.has(preset)) continue;
+    cells.push({ codec, preset, value: agg.total / agg.count, count: agg.count });
+  }
+  return { cells, codecs, presets };
+}
+
+export default function CpuUtilHeatmap({ data, title = "CPU Utilization by Encoder & Preset" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+  const { cells, codecs, presets } = useMemo(() => computeHeatmapData(data), [data]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "item",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg, fontSize: 12 },
+      formatter: (params: { value: [number, number, number, number] }) => {
+        const [pi, ci, util, count] = params.value;
+        return `<b>${codecs[ci]} / ${presets[pi]}</b><br/>CPU: <b>${util.toFixed(1)}%</b><br/>${count} run${count === 1 ? "" : "s"}`;
+      },
+    },
+    grid: { left: 100, right: 100, top: 12, bottom: 40, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: presets,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, rotate: presets.length > 5 ? 30 : 0 },
+      splitArea: { show: true, areaStyle: { color: ["transparent"] } },
+    },
+    yAxis: {
+      type: "category",
+      data: codecs,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { show: false },
+      axisLabel: { color: t.fg, fontSize: 11, width: 90, overflow: "truncate" as const },
+      splitArea: { show: true, areaStyle: { color: ["transparent"] } },
+    },
+    visualMap: {
+      min: 0,
+      max: 100,
+      calculable: true,
+      orient: "vertical" as const,
+      right: 4,
+      top: "middle",
+      itemHeight: 120,
+      inRange: { color: ["#52b788", "#f0a54a", "#ea5455"] },
+      text: ["100%", "0%"],
+      textStyle: { color: t.fg, fontSize: 10 },
+    },
+    series: [
+      {
+        type: "heatmap",
+        data: cells.map((c) => [
+          presets.indexOf(c.preset),
+          codecs.indexOf(c.codec),
+          c.value,
+          c.count,
+        ]),
+        label: {
+          show: true,
+          formatter: (params: { value: [number, number, number] }) => `${params.value[2].toFixed(0)}%`,
+          fontSize: 11,
+          fontWeight: 600,
+        },
+        itemStyle: {
+          borderColor: t.surface,
+          borderWidth: 2,
+          borderRadius: 4,
+        },
+        emphasis: {
+          itemStyle: { shadowBlur: 6, shadowColor: "rgba(0,0,0,0.3)" },
+          label: { show: true },
+        },
+      },
+    ],
+  }), [cells, codecs, presets, t]);
+
+  if (cells.length === 0) {
+    return (
+      <div className="card" style={{ padding: 12 }}>
+        <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
+        <div style={{ color: "var(--muted)", padding: "24px 0", textAlign: "center" }}>
+          No CPU utilization data available yet.
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="card" style={{ padding: 12 }}>
+      <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
+      <EChart option={option} height={Math.max(240, codecs.length * 44 + 100)} />
+    </div>
+  );
+}
diff --git a/frontend/app/components/EChart.tsx b/frontend/app/components/EChart.tsx
new file mode 100644
index 0000000..d082263
--- /dev/null
+++ b/frontend/app/components/EChart.tsx
@@ -0,0 +1,64 @@
+"use client";
+
+import { useEffect, useRef } from "react";
+import * as echarts from "echarts/core";
+import { BarChart, LineChart, ScatterChart, RadarChart, HeatmapChart } from "echarts/charts";
+import {
+  GridComponent,
+  TooltipComponent,
+  LegendComponent,
+  DataZoomComponent,
+  VisualMapComponent,
+  RadarComponent,
+} from "echarts/components";
+import { CanvasRenderer } from "echarts/renderers";
+// Register all components once at module load
+echarts.use([
+  BarChart,
+  LineChart,
+  ScatterChart,
+  RadarChart,
+  HeatmapChart,
+  GridComponent,
+  TooltipComponent,
+  LegendComponent,
+  DataZoomComponent,
+  VisualMapComponent,
+  RadarComponent,
+  CanvasRenderer,
+]);
+
+// Use a permissive type — ECharts validates the shape at runtime
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+type EChartsOption = Record<string, any>;
+
+interface Props {
+  option: EChartsOption;
+  height?: number | string;
+  style?: React.CSSProperties;
+}
+
+export default function EChart({ option, height = "100%", style }: Props) {
+  const divRef = useRef<HTMLDivElement>(null);
+  const chartRef = useRef<ReturnType<typeof echarts.init> | null>(null);
+
+  useEffect(() => {
+    const el = divRef.current;
+    if (!el) return;
+    const chart = echarts.init(el, undefined, { renderer: "canvas" });
+    chartRef.current = chart;
+    const ro = new ResizeObserver(() => chart.resize());
+    ro.observe(el);
+    return () => {
+      ro.disconnect();
+      chart.dispose();
+      chartRef.current = null;
+    };
+  }, []);
+
+  useEffect(() => {
+    chartRef.current?.setOption(option, { replaceMerge: ["series"] });
+  }, [option]);
+
+  return <div ref={divRef} style={{ width: "100%", height, ...style }} />;
+}
diff --git a/frontend/app/components/EfficiencyChart.tsx b/frontend/app/components/EfficiencyChart.tsx
new file mode 100644
index 0000000..313f6e0
--- /dev/null
+++ b/frontend/app/components/EfficiencyChart.tsx
@@ -0,0 +1,88 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_BARS = 8;
+
+export default function EfficiencyChart({ data, title = "Encoding Efficiency (FPS/Watt) by Codec" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+
+  const bars = useMemo(() => {
+    const sums = new Map<string, { total: number; count: number }>();
+    for (const row of data) {
+      const power = row.gpuPowerAvgW;
+      if (typeof power !== "number" || power <= 0 || row.fps <= 0) continue;
+      const cur = sums.get(row.codec) || { total: 0, count: 0 };
+      cur.total += row.fps / power;
+      cur.count += 1;
+      sums.set(row.codec, cur);
+    }
+    return Array.from(sums.entries())
+      .filter(([, agg]) => agg.count > 0)
+      .map(([codec, agg]) => ({ codec, value: agg.total / agg.count }))
+      .sort((a, b) => b.value - a.value)
+      .slice(0, MAX_BARS);
+  }, [data]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { name: string; value: number }[]) =>
+        `${params[0].name}<br/><b>${params[0].value.toFixed(3)} FPS/W</b>`,
+    },
+    grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: bars.map((b) => b.codec),
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, rotate: bars.length > 4 ? 35 : 0, interval: 0 },
+    },
+    yAxis: {
+      type: "value",
+      name: "FPS/W",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: [
+      {
+        type: "bar",
+        data: bars.map((b, i) => ({
+          value: b.value,
+          itemStyle: { color: CHART_COLORS[i % CHART_COLORS.length], borderRadius: [3, 3, 0, 0] },
+        })),
+        barMaxWidth: 60,
+      },
+    ],
+  }), [bars, t]);
+
+  if (bars.length === 0) {
+    return (
+      <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+        <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
+        <div style={{ color: "var(--muted)", flex: 1, display: "flex", alignItems: "center", justifyContent: "center", textAlign: "center" }}>
+          No power data yet. Submit benchmarks from a system with an NVIDIA GPU.
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/ErrorBoundary.tsx b/frontend/app/components/ErrorBoundary.tsx
index bf37051..fed4d95 100644
--- a/frontend/app/components/ErrorBoundary.tsx
+++ b/frontend/app/components/ErrorBoundary.tsx
@@ -39,7 +39,7 @@ export default class ErrorBoundary extends Component<Props, State> {
 
       return (
         <div className="card" style={{ padding: 24, textAlign: "center" }}>
-          <h2 style={{ marginBottom: 12, color: "var(--error, #ef4444)" }}>
+          <h2 style={{ marginBottom: 12, color: "var(--error-fg, #ef4444)" }}>
             Something went wrong
           </h2>
           <p className="subtle" style={{ marginBottom: 16 }}>
diff --git a/frontend/app/components/FpsByCodecChart.tsx b/frontend/app/components/FpsByCodecChart.tsx
index 7842874..e441c9b 100644
--- a/frontend/app/components/FpsByCodecChart.tsx
+++ b/frontend/app/components/FpsByCodecChart.tsx
@@ -1,107 +1,87 @@
+"use client";
+
+import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
+import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
 
-type Bar = {
-  label: string;
-  value: number;
-};
+const FALLBACK_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
 
-const CHART_COLORS = ["#6C8FD5", "#173B34", "#9693CC", "#d4a843", "#CDDBCD", "#8aabea"];
+export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
 
-function computeAverageFpsByCodec(rows: Benchmark[]): Bar[] {
-  const sums = new Map<string, { total: number; count: number }>();
-  for (const row of rows) {
-    const key = row.codec;
-    const current = sums.get(key) || { total: 0, count: 0 };
-    current.total += Number(row.fps) || 0;
-    current.count += 1;
-    sums.set(key, current);
-  }
-  const bars: Bar[] = [];
-  for (const [codec, agg] of sums.entries()) {
-    if (agg.count > 0) {
-      bars.push({ label: codec, value: agg.total / agg.count });
+  const bars = useMemo(() => {
+    const sums = new Map<string, { total: number; count: number }>();
+    for (const row of data) {
+      const cur = sums.get(row.codec) || { total: 0, count: 0 };
+      cur.total += Number(row.fps) || 0;
+      cur.count += 1;
+      sums.set(row.codec, cur);
     }
-  }
-  bars.sort((a, b) => a.label.localeCompare(b.label));
-  return bars;
-}
-
-export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }: { data: Benchmark[]; title?: string }) {
-  const bars = computeAverageFpsByCodec(data);
-  if (bars.length === 0) return null;
+    const result: { codec: string; avgFps: number; color: string }[] = [];
+    for (const [codec, agg] of sums.entries()) {
+      if (agg.count > 0) {
+        result.push({
+          codec,
+          avgFps: agg.total / agg.count,
+          color: CODEC_COLORS[codecColorKey(codec)] || FALLBACK_COLORS[result.length % FALLBACK_COLORS.length],
+        });
+      }
+    }
+    return result.sort((a, b) => a.codec.localeCompare(b.codec));
+  }, [data]);
 
-  const height = 280;
-  const margin = { top: 32, right: 16, bottom: 80, left: 48 };
-  const chartHeight = height - margin.top - margin.bottom;
-  let maxValue = 1;
-  for (const b of bars) if (b.value > maxValue) maxValue = b.value;
-  const barGap = 8;
-  const minBarWidth = 40;
-  const neededWidth = bars.length * (minBarWidth + barGap) - barGap;
-  const chartWidth = Math.max(576, neededWidth);
-  const width = chartWidth + margin.left + margin.right;
-  const barWidth = (chartWidth - barGap * (bars.length - 1)) / bars.length;
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { name: string; value: number }[]) =>
+        `${params[0].name}<br/><b>${params[0].value.toFixed(1)} FPS</b>`,
+    },
+    grid: { left: 48, right: 12, top: 12, bottom: bars.length > 5 ? 72 : 48, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: bars.map((b) => b.codec),
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: {
+        color: t.fg,
+        fontSize: 11,
+        rotate: bars.length > 5 ? 35 : 0,
+        interval: 0,
+      },
+    },
+    yAxis: {
+      type: "value",
+      name: "FPS",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: [
+      {
+        type: "bar",
+        data: bars.map((b) => ({
+          value: b.avgFps,
+          itemStyle: { color: b.color, borderRadius: [3, 3, 0, 0] },
+        })),
+        barMaxWidth: 60,
+      },
+    ],
+  }), [bars, t]);
 
-  const xForIndex = (i: number) => margin.left + i * (barWidth + barGap);
-  const yForValue = (v: number) => margin.top + chartHeight - (v / maxValue) * chartHeight;
+  if (bars.length === 0) return null;
 
   return (
-    <div className="card" style={{ padding: 12 }}>
-      <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
-      <div style={{ overflowX: "auto" }}>
-      <svg width="100%" style={{ minWidth: width }} viewBox={`0 0 ${width} ${height}`} role="img" aria-label={title}>
-        {/* Y axis grid lines */}
-        {Array.from({ length: 5 }).map((_, i) => {
-          const y = margin.top + (i * chartHeight) / 4;
-          return (
-            <line key={i} x1={margin.left} x2={width - margin.right} y1={y} y2={y} stroke="var(--border)" strokeWidth={1} />
-          );
-        })}
-
-        {/* Bars */}
-        {bars.map((b, i) => {
-          const x = xForIndex(i);
-          const y = yForValue(b.value);
-          const h = margin.top + chartHeight - y;
-          return <rect key={b.label} x={x} y={y} width={barWidth} height={h} fill={CHART_COLORS[i % CHART_COLORS.length]} rx={3} />;
-        })}
-
-        {/* X axis labels */}
-        {bars.map((b, i) => {
-          const cx = xForIndex(i) + barWidth / 2;
-          const cy = height - margin.bottom + 16;
-          return (
-            <text
-              key={b.label}
-              x={cx}
-              y={cy}
-              textAnchor="end"
-              fontSize={12}
-              fill="var(--foreground)"
-              transform={`rotate(-40, ${cx}, ${cy})`}
-            >
-              {b.label}
-            </text>
-          );
-        })}
-
-        {/* Y axis ticks */}
-        {Array.from({ length: 5 }).map((_, i) => {
-          const value = (maxValue * (4 - i)) / 4;
-          const y = margin.top + (i * chartHeight) / 4;
-          return (
-            <text key={i} x={margin.left - 8} y={y + 4} textAnchor="end" fontSize={12} fill="var(--muted)">
-              {value.toFixed(0)}
-            </text>
-          );
-        })}
-
-        {/* Y axis title */}
-        <text x={margin.left - 36} y={margin.top - 10} textAnchor="start" fontSize={12} fill="var(--foreground)">
-          FPS
-        </text>
-      </svg>
-      </div>
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
     </div>
   );
 }
diff --git a/frontend/app/components/GpuUtilChart.tsx b/frontend/app/components/GpuUtilChart.tsx
new file mode 100644
index 0000000..0ec4260
--- /dev/null
+++ b/frontend/app/components/GpuUtilChart.tsx
@@ -0,0 +1,90 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_BARS = 8;
+
+export default function GpuUtilChart({ data, title = "Average GPU Utilization by Codec" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+
+  const bars = useMemo(() => {
+    const sums = new Map<string, { total: number; count: number }>();
+    for (const row of data) {
+      const util = row.gpuUtilAvg;
+      if (typeof util !== "number") continue;
+      const cur = sums.get(row.codec) || { total: 0, count: 0 };
+      cur.total += util;
+      cur.count += 1;
+      sums.set(row.codec, cur);
+    }
+    return Array.from(sums.entries())
+      .filter(([, agg]) => agg.count > 0)
+      .map(([codec, agg]) => ({ codec, value: agg.total / agg.count }))
+      .sort((a, b) => b.value - a.value)
+      .slice(0, MAX_BARS);
+  }, [data]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { name: string; value: number }[]) =>
+        `${params[0].name}<br/><b>${params[0].value.toFixed(1)}% GPU</b>`,
+    },
+    grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: bars.map((b) => b.codec),
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, rotate: bars.length > 4 ? 35 : 0, interval: 0 },
+    },
+    yAxis: {
+      type: "value",
+      name: "GPU %",
+      min: 0,
+      max: 100,
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11, formatter: (v: number) => `${v}%` },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: [
+      {
+        type: "bar",
+        data: bars.map((b, i) => ({
+          value: b.value,
+          itemStyle: { color: CHART_COLORS[i % CHART_COLORS.length], borderRadius: [3, 3, 0, 0] },
+        })),
+        barMaxWidth: 60,
+      },
+    ],
+  }), [bars, t]);
+
+  if (bars.length === 0) {
+    return (
+      <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+        <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
+        <div style={{ color: "var(--muted)", flex: 1, display: "flex", alignItems: "center", justifyContent: "center" }}>
+          No GPU utilization data available yet.
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/GroupedSizeByPreset.tsx b/frontend/app/components/GroupedSizeByPreset.tsx
index f70d88a..b5253a4 100644
--- a/frontend/app/components/GroupedSizeByPreset.tsx
+++ b/frontend/app/components/GroupedSizeByPreset.tsx
@@ -1,153 +1,103 @@
 "use client";
 
-import { useMemo, useState, useRef } from "react";
+import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
-import styles from "./GroupedSizeByPreset.module.css";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
 
-type Group = {
-  preset: string;
-  codec: string;
-  avgMB: number;
-};
+const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_VISIBLE_CODECS = 6;
 
-const CHART_COLORS = ["#6C8FD5", "#173B34", "#9693CC", "#d4a843", "#CDDBCD", "#8aabea"];
+function shortCodecName(codec: string): string {
+  if (codec.length <= 16) return codec;
+  return `${codec.slice(0, 13)}...`;
+}
 
 export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
-  const [hover, setHover] = useState<{ x: number; y: number; text: string } | null>(null);
-  const svgRef = useRef<SVGSVGElement | null>(null);
+  const t = useChartTheme();
 
-  const groups = useMemo<Group[]>(() => {
+  const { presets, codecs, seriesData, totalCodecs } = useMemo(() => {
     const map = new Map<string, { sum: number; count: number; preset: string; codec: string }>();
+    const codecCounts = new Map<string, number>();
     for (const r of data) {
       const key = `${r.preset}|${r.codec}`;
       const g = map.get(key) || { sum: 0, count: 0, preset: r.preset, codec: r.codec };
       g.sum += r.fileSizeBytes;
       g.count += 1;
       map.set(key, g);
+      codecCounts.set(r.codec, (codecCounts.get(r.codec) || 0) + 1);
     }
-    const out: Group[] = [];
-    for (const g of map.values()) {
-      out.push({ preset: g.preset, codec: g.codec, avgMB: (g.sum / Math.max(1, g.count)) / (1024 * 1024) });
-    }
-    out.sort((a, b) => a.preset.localeCompare(b.preset) || a.codec.localeCompare(b.codec));
-    return out;
+    const presets = Array.from(new Set(Array.from(map.values()).map((g) => g.preset))).sort();
+    const rankedCodecs = Array.from(codecCounts.entries())
+      .sort((a, b) => b[1] - a[1] || a[0].localeCompare(b[0]))
+      .map(([c]) => c);
+    const codecs = rankedCodecs.slice(0, MAX_VISIBLE_CODECS);
+    const seriesData = codecs.map((codec) =>
+      presets.map((preset) => {
+        const g = map.get(`${preset}|${codec}`);
+        return g ? (g.sum / Math.max(1, g.count)) / (1024 * 1024) : 0;
+      }),
+    );
+    return { presets, codecs, seriesData, totalCodecs: rankedCodecs.length };
   }, [data]);
 
-  const presets = Array.from(new Set(groups.map((g) => g.preset)));
-  const codecs = Array.from(new Set(groups.map((g) => g.codec)));
-
-  // O(1) lookup map instead of O(n) .find() per bar
-  const groupMap = useMemo(() => {
-    const m = new Map<string, Group>();
-    for (const g of groups) m.set(`${g.preset}|${g.codec}`, g);
-    return m;
-  }, [groups]);
-
-  const height = 340;
-  const margin = { top: 24, right: 16, bottom: 84, left: 56 };
-  const chartHeight = height - margin.top - margin.bottom;
-  const groupGap = 24;
-  const barGap = 4;
-  const minBarWidth = 24;
-  const barsPerGroup = Math.max(1, codecs.length);
-  const neededGroupWidth = barsPerGroup * minBarWidth + (barsPerGroup - 1) * barGap;
-  const neededChartWidth = presets.length * neededGroupWidth + (presets.length - 1) * groupGap;
-  const chartWidth = Math.max(648, neededChartWidth);
-  const width = chartWidth + margin.left + margin.right;
-  const groupWidth = (chartWidth - (presets.length - 1) * groupGap) / Math.max(1, presets.length);
-  const barWidth = (groupWidth - (barsPerGroup - 1) * barGap) / barsPerGroup;
-  const xStartForGroup = (i: number) => margin.left + i * (groupWidth + groupGap);
-
-  let maxValue = 1;
-  for (const g of groups) if (g.avgMB > maxValue) maxValue = g.avgMB;
-  const yFor = (v: number) => margin.top + chartHeight - (v / maxValue) * chartHeight;
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { seriesName: string; value: number }[]) =>
+        params
+          .filter((p) => p.value > 0)
+          .map((p) => `${p.seriesName}: <b>${p.value.toFixed(2)} MB</b>`)
+          .join("<br/>"),
+    },
+    legend: {
+      data: codecs.map(shortCodecName),
+      textStyle: { color: t.fg, fontSize: 11 },
+      top: 4,
+      type: "scroll" as const,
+    },
+    grid: { left: 48, right: 12, top: 32, bottom: presets.length > 6 ? 64 : 36, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: presets,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, rotate: presets.length > 6 ? 30 : 0, interval: 0 },
+    },
+    yAxis: {
+      type: "value",
+      name: "MB",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: codecs.map((codec, i) => ({
+      name: shortCodecName(codec),
+      type: "bar",
+      data: seriesData[i],
+      itemStyle: { color: CHART_COLORS[i % CHART_COLORS.length], borderRadius: [3, 3, 0, 0] },
+      barMaxWidth: 40,
+    })),
+  }), [presets, codecs, seriesData, t]);
 
-  // Convert SVG coordinates to DOM pixel coordinates for tooltip positioning
-  function svgToDom(svgX: number, svgY: number): { x: number; y: number } {
-    const rect = svgRef.current?.getBoundingClientRect();
-    if (!rect) return { x: svgX, y: svgY };
-    return {
-      x: (svgX / width) * rect.width,
-      y: (svgY / height) * rect.height,
-    };
-  }
+  if (presets.length === 0) return null;
 
   return (
-    <div className={`card ${styles.chartCard}`} style={{ position: "relative" }}>
-      <div className={styles.chartTitle}>Average File Size by Preset and Codec</div>
-      <div style={{ overflowX: "auto" }}>
-      <svg ref={svgRef} width="100%" style={{ minWidth: width }} viewBox={`0 0 ${width} ${height}`} role="img" aria-label="Grouped size by preset and codec" onMouseLeave={() => setHover(null)}>
-        {/* Grid */}
-        {Array.from({ length: 4 }).map((_, i) => {
-          const y = margin.top + (i * chartHeight) / 3;
-          return <line key={i} x1={margin.left} x2={width - margin.right} y1={y} y2={y} stroke="var(--border)" strokeWidth={1} />;
-        })}
-
-        {/* Bars */}
-        {presets.map((p, pi) => {
-          const x0 = xStartForGroup(pi);
-          return codecs.map((c, ci) => {
-            const g = groupMap.get(`${p}|${c}`);
-            if (!g) return null; // Skip missing combinations
-            const v = g.avgMB;
-            const x = x0 + ci * (barWidth + barGap);
-            const y = yFor(v);
-            const h = margin.top + chartHeight - y;
-            const color = CHART_COLORS[ci % CHART_COLORS.length];
-            return (
-              <g
-                key={`${p}|${c}`}
-                onMouseEnter={() => {
-                  const dom = svgToDom(x + barWidth / 2 + 8, y - 8);
-                  setHover({ x: dom.x, y: dom.y, text: `${p} \u2022 ${c}: ${v.toFixed(2)} MB` });
-                }}
-                onMouseLeave={() => setHover(null)}
-              >
-                <rect x={x} y={y} width={barWidth} height={h} fill={color} rx={3} style={{ cursor: "pointer" }} />
-              </g>
-            );
-          });
-        })}
-
-        {/* X axis labels */}
-        {presets.map((p, pi) => {
-          const cx = xStartForGroup(pi) + groupWidth / 2;
-          const cy = height - margin.bottom + 16;
-          return (
-            <text key={p} x={cx} y={cy} textAnchor="end" fontSize={12} fill="var(--foreground)" transform={`rotate(-40, ${cx}, ${cy})`}>
-              {p}
-            </text>
-          );
-        })}
-
-        {/* Y axis */}
-        <line x1={margin.left} x2={margin.left} y1={margin.top} y2={height - margin.bottom} stroke="var(--border)" />
-        {Array.from({ length: 5 }).map((_, i) => {
-          const value = (maxValue * (4 - i)) / 4;
-          const y = margin.top + (i * chartHeight) / 4;
-          return (
-            <text key={i} x={margin.left - 10} y={y + 4} textAnchor="end" fontSize={12} fill="var(--foreground)">
-              {value.toFixed(1)} MB
-            </text>
-          );
-        })}
-      </svg>
-      </div>
-      {hover && (
-        <div className="tooltip" style={{ left: hover.x, top: hover.y }}>
-          {hover.text}
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>Average File Size by Preset and Codec</div>
+      {totalCodecs > codecs.length && (
+        <div className="subtle" style={{ marginBottom: 8, fontSize: 12, flex: "0 0 auto" }}>
+          Showing top {codecs.length} codecs by sample count (of {totalCodecs}).
         </div>
       )}
-
-      {/* Legend */}
-      <div className={`subtle ${styles.legend}`}>
-        {codecs.map((c, i) => (
-          <div key={c} className={styles.legendItem}>
-            <span className={styles.legendSwatch} style={{ background: CHART_COLORS[i % CHART_COLORS.length] }} />
-            <span>{c}</span>
-          </div>
-        ))}
-      </div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
     </div>
   );
 }
diff --git a/frontend/app/components/HardwareRecommendation.tsx b/frontend/app/components/HardwareRecommendation.tsx
new file mode 100644
index 0000000..30fab2d
--- /dev/null
+++ b/frontend/app/components/HardwareRecommendation.tsx
@@ -0,0 +1,145 @@
+"use client";
+
+import { useMemo, useState } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+
+type HardwareProfile = {
+  cpuModel: string;
+  gpuModel: string;
+  avgFps: number;
+  avgVmaf: number | null;
+  avgPower: number | null;
+  fpsPerWatt: number | null;
+  samples: number;
+};
+
+type Priority = "speed" | "quality" | "efficiency" | "balanced";
+
+const PROFILE_KEY_SEP = "\u241F"; // unit separator — safe for CPU/GPU model names
+
+export default function HardwareRecommendation({ data }: { data: Benchmark[] }) {
+  const [codec, setCodec] = useState("");
+  const [priority, setPriority] = useState<Priority>("balanced");
+
+  const codecs = useMemo(() => Array.from(new Set(data.map(d => d.codec))).sort(), [data]);
+
+  const recommendations = useMemo(() => {
+    const filtered = codec ? data.filter(d => d.codec === codec) : data;
+    const profiles = new Map<string, { fps: number[]; vmaf: number[]; power: number[] }>();
+
+    for (const row of filtered) {
+      if (row.fps <= 0) continue;
+      const key = [row.cpuModel, row.gpuModel ?? ""].join(PROFILE_KEY_SEP);
+      if (!profiles.has(key)) profiles.set(key, { fps: [], vmaf: [], power: [] });
+      const p = profiles.get(key)!;
+      p.fps.push(row.fps);
+      if (row.vmaf != null) p.vmaf.push(row.vmaf);
+      const power = row.gpuPowerAvgW;
+      if (typeof power === "number" && power > 0) p.power.push(power);
+    }
+
+    const results: HardwareProfile[] = [];
+    for (const [key, p] of profiles.entries()) {
+      const [cpuModel, gpuModel] = key.split(PROFILE_KEY_SEP);
+      const avgFps = p.fps.reduce((a, b) => a + b, 0) / p.fps.length;
+      const avgVmaf = p.vmaf.length > 0 ? p.vmaf.reduce((a, b) => a + b, 0) / p.vmaf.length : null;
+      const avgPower = p.power.length > 0 ? p.power.reduce((a, b) => a + b, 0) / p.power.length : null;
+      const fpsPerWatt = avgPower != null && avgPower > 0 ? avgFps / avgPower : null;
+      results.push({ cpuModel, gpuModel, avgFps, avgVmaf, avgPower, fpsPerWatt, samples: p.fps.length });
+    }
+
+    results.sort((a, b) => {
+      switch (priority) {
+        case "speed":
+          return b.avgFps - a.avgFps;
+        case "quality":
+          return (b.avgVmaf ?? 0) - (a.avgVmaf ?? 0);
+        case "efficiency":
+          return (b.fpsPerWatt ?? 0) - (a.fpsPerWatt ?? 0);
+        case "balanced":
+        default: {
+          const scoreA = normalizedScore(a, results);
+          const scoreB = normalizedScore(b, results);
+          return scoreB - scoreA;
+        }
+      }
+    });
+
+    return results.slice(0, 20);
+  }, [data, codec, priority]);
+
+  return (
+    <div>
+      <div style={{ display: "flex", gap: 12, marginBottom: 16, flexWrap: "wrap" }}>
+        <div>
+          <label style={{ display: "block", fontSize: 12, color: "var(--muted)", marginBottom: 4 }}>Codec</label>
+          <select className="input" value={codec} onChange={e => setCodec(e.target.value)} style={{ minWidth: 160 }}>
+            <option value="">All Codecs</option>
+            {codecs.map(c => <option key={c} value={c}>{c}</option>)}
+          </select>
+        </div>
+        <div>
+          <label style={{ display: "block", fontSize: 12, color: "var(--muted)", marginBottom: 4 }}>Priority</label>
+          <select className="input" value={priority} onChange={e => setPriority(e.target.value as Priority)} style={{ minWidth: 160 }}>
+            <option value="balanced">Balanced</option>
+            <option value="speed">Speed (FPS)</option>
+            <option value="quality">Quality (VMAF)</option>
+            <option value="efficiency">Efficiency (FPS/Watt)</option>
+          </select>
+        </div>
+      </div>
+
+      {recommendations.length === 0 ? (
+        <div style={{ color: "var(--muted)", padding: "24px 0", textAlign: "center" }}>
+          No benchmark data available for the selected filters.
+        </div>
+      ) : (
+        <div style={{ overflowX: "auto" }}>
+          <table className="table" style={{ width: "100%", borderCollapse: "collapse" }}>
+            <thead className="thead">
+              <tr>
+                <th className="th" style={{ textAlign: "center", width: 40 }}>#</th>
+                <th className="th">CPU</th>
+                <th className="th">GPU</th>
+                <th className="th" style={{ textAlign: "right" }}>Avg FPS</th>
+                <th className="th" style={{ textAlign: "right" }}>Avg VMAF</th>
+                <th className="th" style={{ textAlign: "right" }}>Avg Power (W)</th>
+                <th className="th" style={{ textAlign: "right" }}>FPS/Watt</th>
+                <th className="th" style={{ textAlign: "right" }}>Samples</th>
+              </tr>
+            </thead>
+            <tbody>
+              {recommendations.map((hw, i) => (
+                <tr key={`${hw.cpuModel}-${hw.gpuModel}-${i}`}>
+                  <td className="td" style={{ textAlign: "center", fontWeight: 600, color: i < 3 ? "var(--accent)" : "var(--foreground)" }}>
+                    {i + 1}
+                  </td>
+                  <td className="td">{hw.cpuModel}</td>
+                  <td className="td">{hw.gpuModel || "-"}</td>
+                  <td className="td" style={{ textAlign: "right" }}>{hw.avgFps.toFixed(2)}</td>
+                  <td className="td" style={{ textAlign: "right" }}>{hw.avgVmaf != null ? hw.avgVmaf.toFixed(1) : "-"}</td>
+                  <td className="td" style={{ textAlign: "right" }}>{hw.avgPower != null ? hw.avgPower.toFixed(1) : "-"}</td>
+                  <td className="td" style={{ textAlign: "right" }}>{hw.fpsPerWatt != null ? hw.fpsPerWatt.toFixed(2) : "-"}</td>
+                  <td className="td" style={{ textAlign: "right" }}>{hw.samples}</td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        </div>
+      )}
+    </div>
+  );
+}
+
+function normalizedScore(hw: HardwareProfile, all: HardwareProfile[]): number {
+  let maxFps = 1, maxVmaf = 1, maxEff = 1;
+  for (const h of all) {
+    if (h.avgFps > maxFps) maxFps = h.avgFps;
+    if (h.avgVmaf != null && h.avgVmaf > maxVmaf) maxVmaf = h.avgVmaf;
+    if (h.fpsPerWatt != null && h.fpsPerWatt > maxEff) maxEff = h.fpsPerWatt;
+  }
+  const speedScore = hw.avgFps / maxFps;
+  const qualityScore = hw.avgVmaf != null ? hw.avgVmaf / maxVmaf : 0.5;
+  const effScore = hw.fpsPerWatt != null ? hw.fpsPerWatt / maxEff : 0.3;
+  return 0.4 * speedScore + 0.35 * qualityScore + 0.25 * effScore;
+}
diff --git a/frontend/app/components/LazyChart.tsx b/frontend/app/components/LazyChart.tsx
new file mode 100644
index 0000000..6f8821f
--- /dev/null
+++ b/frontend/app/components/LazyChart.tsx
@@ -0,0 +1,36 @@
+"use client";
+
+import { useRef, useState, useEffect, type ReactNode } from "react";
+
+export default function LazyChart({
+  children,
+  className,
+}: {
+  children: ReactNode;
+  className?: string;
+}) {
+  const ref = useRef<HTMLDivElement>(null);
+  const [visible, setVisible] = useState(false);
+
+  useEffect(() => {
+    const el = ref.current;
+    if (!el) return;
+    const observer = new IntersectionObserver(
+      ([entry]) => {
+        if (entry.isIntersecting) {
+          setVisible(true);
+          observer.disconnect();
+        }
+      },
+      { rootMargin: "200px" },
+    );
+    observer.observe(el);
+    return () => observer.disconnect();
+  }, []);
+
+  return (
+    <div ref={ref} className={className} style={{ height: "100%" }}>
+      {visible ? children : null}
+    </div>
+  );
+}
diff --git a/frontend/app/components/LeaderboardTable.module.css b/frontend/app/components/LeaderboardTable.module.css
new file mode 100644
index 0000000..dd22744
--- /dev/null
+++ b/frontend/app/components/LeaderboardTable.module.css
@@ -0,0 +1,81 @@
+.leaderboardCard {
+  padding: 16px;
+}
+
+.title {
+  font-weight: 600;
+  font-size: 15px;
+  margin-bottom: 12px;
+}
+
+.header {
+  display: grid;
+  grid-template-columns: 32px 1fr 80px;
+  gap: 8px;
+  font-size: 11px;
+  color: var(--muted);
+  padding-bottom: 6px;
+  border-bottom: 1px solid var(--border);
+  margin-bottom: 4px;
+}
+
+.row {
+  display: grid;
+  grid-template-columns: 32px 1fr 80px;
+  gap: 8px;
+  align-items: center;
+  padding: 6px 0;
+  font-size: 13px;
+  border-bottom: 1px solid color-mix(in srgb, var(--border) 40%, transparent);
+}
+
+.rankCol {
+  font-weight: 600;
+  text-align: center;
+  font-size: 13px;
+}
+
+.rank1 {
+  color: #d4a843;
+}
+
+.rank2 {
+  color: #a0a0a0;
+}
+
+.rank3 {
+  color: #b87333;
+}
+
+.nameCol {
+  position: relative;
+  overflow: hidden;
+}
+
+.barBg {
+  position: absolute;
+  inset: 0;
+  border-radius: 3px;
+  overflow: hidden;
+}
+
+.bar {
+  height: 100%;
+  background: color-mix(in srgb, var(--accent) 15%, transparent);
+  border-radius: 3px;
+  transition: width 0.3s ease;
+}
+
+.nameText {
+  position: relative;
+  z-index: 1;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.valueCol {
+  text-align: right;
+  font-variant-numeric: tabular-nums;
+  font-size: 13px;
+}
diff --git a/frontend/app/components/LeaderboardTable.tsx b/frontend/app/components/LeaderboardTable.tsx
new file mode 100644
index 0000000..982a7a7
--- /dev/null
+++ b/frontend/app/components/LeaderboardTable.tsx
@@ -0,0 +1,52 @@
+"use client";
+
+import styles from "./LeaderboardTable.module.css";
+
+type LeaderboardEntry = {
+  name: string;
+  value: number;
+  formattedValue: string;
+};
+
+export default function LeaderboardTable({
+  title,
+  entries,
+  valueLabel,
+}: {
+  title: string;
+  entries: LeaderboardEntry[];
+  valueLabel: string;
+}) {
+  if (entries.length === 0) return null;
+
+  const maxValue = entries.reduce((max, e) => Math.max(max, e.value), 0);
+
+  return (
+    <div className={`card ${styles.leaderboardCard}`}>
+      <div className={styles.title}>{title}</div>
+      <div className={styles.header}>
+        <span className={styles.rankCol}>#</span>
+        <span className={styles.nameCol}>Name</span>
+        <span className={styles.valueCol}>{valueLabel}</span>
+      </div>
+      {entries.slice(0, 10).map((entry, i) => {
+        const rank = i + 1;
+        const barWidth = maxValue > 0 ? (entry.value / maxValue) * 100 : 0;
+        return (
+          <div key={entry.name} className={styles.row}>
+            <span className={`${styles.rankCol} ${rank <= 3 ? styles[`rank${rank}` as keyof typeof styles] : ""}`}>
+              {rank}
+            </span>
+            <span className={styles.nameCol}>
+              <div className={styles.barBg}>
+                <div className={styles.bar} style={{ width: `${barWidth}%` }} />
+              </div>
+              <span className={styles.nameText}>{entry.name}</span>
+            </span>
+            <span className={styles.valueCol}>{entry.formattedValue}</span>
+          </div>
+        );
+      })}
+    </div>
+  );
+}
diff --git a/frontend/app/components/PassSpeedComparison.tsx b/frontend/app/components/PassSpeedComparison.tsx
new file mode 100644
index 0000000..356e5aa
--- /dev/null
+++ b/frontend/app/components/PassSpeedComparison.tsx
@@ -0,0 +1,96 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const MAX_BARS = 8;
+
+function shortCodec(codec: string): string {
+  if (codec.length <= 14) return codec;
+  return `${codec.slice(0, 11)}...`;
+}
+
+export default function PassSpeedComparison({ data, title = "1-Pass vs 2-Pass Encoding Speed" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+
+  const { visible, hasTwoPass } = useMemo(() => {
+    const map = new Map<string, { fps1Sum: number; fps1N: number; fps2Sum: number; fps2N: number }>();
+    for (const row of data) {
+      if (!map.has(row.codec)) map.set(row.codec, { fps1Sum: 0, fps1N: 0, fps2Sum: 0, fps2N: 0 });
+      const e = map.get(row.codec)!;
+      if ((row.passes ?? 1) === 2) { e.fps2Sum += row.fps; e.fps2N += 1; }
+      else { e.fps1Sum += row.fps; e.fps1N += 1; }
+    }
+    const all = Array.from(map.entries())
+      .map(([codec, e]) => ({
+        codec,
+        fps1: e.fps1N > 0 ? e.fps1Sum / e.fps1N : 0,
+        fps2: e.fps2N > 0 ? e.fps2Sum / e.fps2N : 0,
+      }))
+      .filter((d) => d.fps1 > 0 || d.fps2 > 0)
+      .sort((a, b) => Math.max(b.fps1, b.fps2) - Math.max(a.fps1, a.fps2));
+    return { visible: all.slice(0, MAX_BARS), hasTwoPass: all.some((d) => d.fps2 > 0) };
+  }, [data]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { seriesName: string; value: number }[]) =>
+        params.filter((p) => p.value > 0).map((p) => `${p.seriesName}: <b>${p.value.toFixed(1)} FPS</b>`).join("<br/>"),
+    },
+    legend: {
+      data: ["1-pass (CRF)", "2-pass (CBR/VBR)"],
+      textStyle: { color: t.fg, fontSize: 11 },
+      top: 4,
+    },
+    grid: { left: 52, right: 12, top: 32, bottom: 32, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: visible.map((d) => shortCodec(d.codec)),
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11 },
+    },
+    yAxis: {
+      type: "value",
+      name: "FPS",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: [
+      {
+        name: "1-pass (CRF)",
+        type: "bar",
+        data: visible.map((d) => d.fps1),
+        itemStyle: { color: "#6C8FD5", borderRadius: [3, 3, 0, 0] },
+        barMaxWidth: 40,
+      },
+      {
+        name: "2-pass (CBR/VBR)",
+        type: "bar",
+        data: visible.map((d) => d.fps2),
+        itemStyle: { color: "#d4a843", borderRadius: [3, 3, 0, 0] },
+        barMaxWidth: 40,
+      },
+    ],
+  }), [visible, t]);
+
+  if (visible.length === 0 || !hasTwoPass) return null;
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/PowerConsumptionChart.tsx b/frontend/app/components/PowerConsumptionChart.tsx
new file mode 100644
index 0000000..cc40de9
--- /dev/null
+++ b/frontend/app/components/PowerConsumptionChart.tsx
@@ -0,0 +1,88 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_BARS = 8;
+
+export default function PowerConsumptionChart({ data, title = "Average GPU Power by Codec" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+
+  const bars = useMemo(() => {
+    const sums = new Map<string, { total: number; count: number }>();
+    for (const row of data) {
+      const power = row.gpuPowerAvgW;
+      if (typeof power !== "number" || power <= 0) continue;
+      const cur = sums.get(row.codec) || { total: 0, count: 0 };
+      cur.total += power;
+      cur.count += 1;
+      sums.set(row.codec, cur);
+    }
+    return Array.from(sums.entries())
+      .filter(([, agg]) => agg.count > 0)
+      .map(([codec, agg]) => ({ codec, value: agg.total / agg.count }))
+      .sort((a, b) => a.value - b.value) // ascending: lowest power first
+      .slice(0, MAX_BARS);
+  }, [data]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { name: string; value: number }[]) =>
+        `${params[0].name}<br/><b>${params[0].value.toFixed(1)} W</b>`,
+    },
+    grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: bars.map((b) => b.codec),
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, rotate: bars.length > 4 ? 35 : 0, interval: 0 },
+    },
+    yAxis: {
+      type: "value",
+      name: "Watts",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: [
+      {
+        type: "bar",
+        data: bars.map((b, i) => ({
+          value: b.value,
+          itemStyle: { color: CHART_COLORS[i % CHART_COLORS.length], borderRadius: [3, 3, 0, 0] },
+        })),
+        barMaxWidth: 60,
+      },
+    ],
+  }), [bars, t]);
+
+  if (bars.length === 0) {
+    return (
+      <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+        <div style={{ fontWeight: 600, marginBottom: 8 }}>{title}</div>
+        <div style={{ color: "var(--muted)", flex: 1, display: "flex", alignItems: "center", justifyContent: "center" }}>
+          No GPU power data available yet.
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/PsnrHistogram.tsx b/frontend/app/components/PsnrHistogram.tsx
new file mode 100644
index 0000000..ccf6694
--- /dev/null
+++ b/frontend/app/components/PsnrHistogram.tsx
@@ -0,0 +1,93 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+export default function PsnrHistogram({ data, bins = 20 }: { data: Benchmark[]; bins?: number }) {
+  const t = useChartTheme();
+
+  const values = useMemo(() =>
+    data
+      .map((d) => (typeof d.psnr === "number" ? Math.max(0, Math.min(100, d.psnr)) : null))
+      .filter((v): v is number => v != null),
+    [data]);
+
+  const { binData, lo, hi } = useMemo(() => {
+    if (values.length === 0) return { binData: [], lo: 0, hi: 60 };
+    let lo = values[0], hi = values[0];
+    for (const v of values) { if (v < lo) lo = v; if (v > hi) hi = v; }
+    lo = Math.max(0, lo - 1);
+    hi = Math.min(100, hi + 1);
+    const step = (hi - lo) / bins;
+    const counts = new Array(bins).fill(0) as number[];
+    for (const v of values) {
+      const idx = Math.min(bins - 1, Math.floor((v - lo) / step));
+      counts[idx] += 1;
+    }
+    return {
+      binData: counts.map((count, i) => [lo + (i + 0.5) * step, count] as [number, number]),
+      lo,
+      hi,
+    };
+  }, [values, bins]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { value: [number, number] }[]) => {
+        const [mid, count] = params[0].value;
+        const step = (hi - lo) / bins;
+        return `PSNR ${(mid - step / 2).toFixed(1)}–${(mid + step / 2).toFixed(1)} dB<br/><b>${count} run${count === 1 ? "" : "s"}</b>`;
+      },
+    },
+    dataZoom: [
+      { type: "inside", xAxisIndex: 0 },
+      { type: "slider", xAxisIndex: 0, height: 18, bottom: 4, borderColor: t.border, fillerColor: `${t.accent}33`, handleStyle: { color: t.accent }, showDetail: false },
+    ],
+    grid: { left: 40, right: 12, top: 8, bottom: 40, containLabel: false },
+    xAxis: {
+      type: "value",
+      min: lo,
+      max: hi,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11 },
+      splitLine: { show: false },
+    },
+    yAxis: {
+      type: "value",
+      name: "Count",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+      minInterval: 1,
+    },
+    series: [
+      {
+        type: "bar",
+        data: binData,
+        barWidth: "95%",
+        itemStyle: { color: "#d4a843", borderRadius: [3, 3, 0, 0] },
+        emphasis: { itemStyle: { color: "#e8c06a" } },
+      },
+    ],
+  }), [binData, lo, hi, bins, t]);
+
+  if (values.length === 0) return null;
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 4, flex: "0 0 auto" }}>PSNR Distribution</div>
+      <div className="subtle" style={{ fontSize: 11, marginBottom: 8, flex: "0 0 auto" }}>Scroll to zoom · drag to pan</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/RateDistortionChart.tsx b/frontend/app/components/RateDistortionChart.tsx
new file mode 100644
index 0000000..31cccca
--- /dev/null
+++ b/frontend/app/components/RateDistortionChart.tsx
@@ -0,0 +1,140 @@
+"use client";
+
+import { useMemo, useState } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+type QualityMetric = "vmaf" | "ssim" | "psnr";
+
+const METRIC_LABELS: Record<QualityMetric, string> = {
+  vmaf: "VMAF",
+  ssim: "SSIM",
+  psnr: "PSNR (dB)",
+};
+
+const MAX_VISIBLE_LINES = 8;
+
+function shortName(name: string): string {
+  if (name.length <= 22) return name;
+  return `${name.slice(0, 19)}...`;
+}
+
+export default function RateDistortionChart({ data }: { data: Benchmark[] }) {
+  const t = useChartTheme();
+  const [metric, setMetric] = useState<QualityMetric>("vmaf");
+  const [codecFilter, setCodecFilter] = useState("");
+  const [showAll, setShowAll] = useState(false);
+
+  const lines = useMemo(() => {
+    const filtered = data.filter(
+      (d) => d.crf != null && (!codecFilter || d.codec.toLowerCase().includes(codecFilter.toLowerCase())),
+    );
+    const groups = new Map<string, Benchmark[]>();
+    for (const d of filtered) {
+      const key = `${d.codec} / ${d.preset}`;
+      const arr = groups.get(key) || [];
+      arr.push(d);
+      groups.set(key, arr);
+    }
+    const result: { name: string; color: string; data: [number, number][] }[] = [];
+    for (const [name, rows] of groups.entries()) {
+      const points = rows
+        .filter((r) => typeof r[metric] === "number")
+        .map((r) => [r.fileSizeBytes / (1024 * 1024), r[metric] as number] as [number, number])
+        .sort((a, b) => a[0] - b[0]);
+      if (points.length < 2) continue;
+      result.push({ name, color: CODEC_COLORS[codecColorKey(rows[0].codec)] || CODEC_COLORS.other, data: points });
+    }
+    return result.sort((a, b) => b.data.length - a.data.length || a.name.localeCompare(b.name));
+  }, [data, metric, codecFilter]);
+
+  const visible = useMemo(() => (showAll ? lines : lines.slice(0, MAX_VISIBLE_LINES)), [lines, showAll]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg, fontSize: 12 },
+      axisPointer: { type: "cross" as const, lineStyle: { color: t.border } },
+      formatter: (params: { seriesName: string; value: [number, number] }[]) =>
+        params
+          .filter((p) => p.value[1] != null)
+          .map((p) => `${shortName(p.seriesName)}: <b>${metric === "ssim" ? p.value[1].toFixed(4) : p.value[1].toFixed(2)}</b>`)
+          .join("<br/>") + `<br/><span style="color:${t.muted};font-size:10px">${params[0]?.value[0]?.toFixed(2)} MB</span>`,
+    },
+    grid: { left: 52, right: 12, top: 12, bottom: 32, containLabel: false },
+    xAxis: {
+      type: "value",
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, formatter: (v: number) => `${v.toFixed(0)} MB` },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    yAxis: {
+      type: "value",
+      name: METRIC_LABELS[metric],
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      min: metric === "ssim" ? 0.7 : "dataMin",
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: visible.map((line) => ({
+      name: line.name,
+      type: "line",
+      data: line.data,
+      smooth: false,
+      symbol: "circle",
+      symbolSize: 5,
+      showSymbol: false,
+      lineStyle: { color: line.color, width: 2 },
+      itemStyle: { color: line.color },
+      emphasis: { showSymbol: true },
+    })),
+  }), [visible, metric, t]);
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginBottom: 8, flexWrap: "wrap", gap: 8, flex: "0 0 auto" }}>
+        <div style={{ fontWeight: 600 }}>Rate-Distortion Curves</div>
+        <div style={{ display: "flex", gap: 8, alignItems: "center" }}>
+          <select className="input" value={metric} onChange={(e) => setMetric(e.target.value as QualityMetric)} style={{ padding: "4px 8px" }}>
+            <option value="vmaf">VMAF</option>
+            <option value="ssim">SSIM</option>
+            <option value="psnr">PSNR</option>
+          </select>
+          <input className="input" placeholder="Filter codec" value={codecFilter} onChange={(e) => setCodecFilter(e.target.value)} style={{ maxWidth: 160 }} />
+        </div>
+      </div>
+      {lines.length === 0 ? (
+        <div className="subtle" style={{ flex: 1, display: "flex", alignItems: "center", justifyContent: "center" }}>
+          No rate-distortion data (need encoder groups with 2+ CRF values)
+        </div>
+      ) : (
+        <>
+          <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+          <div style={{ marginTop: 8, display: "flex", flexWrap: "wrap", gap: 6, maxHeight: 68, overflowY: "auto", flex: "0 0 auto" }}>
+            {visible.map((line) => (
+              <div key={line.name} title={line.name} style={{ display: "inline-flex", alignItems: "center", gap: 5, padding: "3px 8px", border: "1px solid var(--border)", borderRadius: 999, fontSize: 11 }}>
+                <span style={{ width: 10, height: 10, borderRadius: 2, background: line.color, display: "inline-block" }} />
+                {shortName(line.name)}
+              </div>
+            ))}
+          </div>
+          {lines.length > MAX_VISIBLE_LINES && (
+            <div style={{ marginTop: 6, flex: "0 0 auto" }}>
+              <button className="btn" onClick={() => setShowAll((v) => !v)} style={{ padding: "4px 10px", fontSize: 12 }}>
+                {showAll ? `Show top ${MAX_VISIBLE_LINES}` : `Show all (${lines.length})`}
+              </button>
+            </div>
+          )}
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/frontend/app/components/ResolutionComparisonChart.tsx b/frontend/app/components/ResolutionComparisonChart.tsx
new file mode 100644
index 0000000..5f9eb08
--- /dev/null
+++ b/frontend/app/components/ResolutionComparisonChart.tsx
@@ -0,0 +1,152 @@
+"use client";
+
+import { useEffect, useMemo, useState } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+const RESOLUTION_ORDER = ["480p", "720p", "1080p", "1440p", "4k"];
+const COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
+const MAX_SELECTED = 4;
+const MAX_SELECTOR = 12;
+
+type ResolutionFps = { codec: string; fpsPerRes: Record<string, number>; avgFps: number; samples: number };
+
+function computeResolutionFps(data: Benchmark[]): ResolutionFps[] {
+  const byCodecAndRes = new Map<string, Map<string, { fpsSum: number; count: number }>>();
+  for (const row of data) {
+    const res = row.resolution ?? "1080p";
+    if (!byCodecAndRes.has(row.codec)) byCodecAndRes.set(row.codec, new Map());
+    const resMap = byCodecAndRes.get(row.codec)!;
+    if (!resMap.has(res)) resMap.set(res, { fpsSum: 0, count: 0 });
+    const e = resMap.get(res)!;
+    e.fpsSum += row.fps;
+    e.count += 1;
+  }
+  return Array.from(byCodecAndRes.entries())
+    .map(([codec, resMap]) => {
+      const fpsPerRes: Record<string, number> = {};
+      let totalFps = 0, totalN = 0;
+      for (const res of RESOLUTION_ORDER) {
+        const e = resMap.get(res);
+        const avg = e && e.count > 0 ? e.fpsSum / e.count : 0;
+        fpsPerRes[res] = avg;
+        if (e && e.count > 0) { totalFps += e.fpsSum; totalN += e.count; }
+      }
+      return { codec, fpsPerRes, avgFps: totalN > 0 ? totalFps / totalN : 0, samples: totalN };
+    })
+    .sort((a, b) => b.avgFps - a.avgFps || a.codec.localeCompare(b.codec));
+}
+
+export default function ResolutionComparisonChart({ data, title = "FPS by Resolution per Codec" }: { data: Benchmark[]; title?: string }) {
+  const t = useChartTheme();
+  const allCodecs = useMemo(() => computeResolutionFps(data), [data]);
+  const selectorOptions = useMemo(() => allCodecs.slice(0, Math.max(MAX_SELECTOR, MAX_SELECTED)), [allCodecs]);
+  const [selectedCodecs, setSelectedCodecs] = useState<Set<string>>(new Set());
+  const codecColorMap = useMemo(
+    () => new Map(selectorOptions.map((entry, i) => [entry.codec, COLORS[i % COLORS.length]])),
+    [selectorOptions],
+  );
+
+  const activeResolutions = useMemo(() => {
+    const seen = new Set(data.map((r) => r.resolution ?? "1080p"));
+    return RESOLUTION_ORDER.filter((r) => seen.has(r));
+  }, [data]);
+
+  useEffect(() => {
+    if (selectorOptions.length === 0) return;
+    setSelectedCodecs((prev) => {
+      const names = selectorOptions.map((d) => d.codec);
+      const next = new Set(Array.from(prev).filter((c) => names.includes(c)));
+      return next.size > 0 ? next : new Set(names.slice(0, MAX_SELECTED));
+    });
+  }, [selectorOptions]);
+
+  const shown = selectorOptions.filter((d) => selectedCodecs.has(d.codec));
+  const forChart = shown.length > 0 ? shown : selectorOptions.slice(0, 1);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      axisPointer: { type: "shadow" as const },
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { seriesName: string; value: number }[]) =>
+        params
+          .filter((p) => p.value > 0)
+          .map((p) => `${p.seriesName}: <b>${p.value.toFixed(1)} FPS</b>`)
+          .join("<br/>"),
+    },
+    grid: { left: 52, right: 12, top: 8, bottom: 32, containLabel: false },
+    xAxis: {
+      type: "category",
+      data: activeResolutions,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11 },
+    },
+    yAxis: {
+      type: "value",
+      name: "FPS",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series: forChart.map((entry) => ({
+      name: entry.codec,
+      type: "bar",
+      data: activeResolutions.map((res) => entry.fpsPerRes[res] || 0),
+      itemStyle: { color: codecColorMap.get(entry.codec) ?? COLORS[0], borderRadius: [3, 3, 0, 0] },
+      barMaxWidth: 40,
+    })),
+  }), [activeResolutions, codecColorMap, forChart, t]);
+
+  if (allCodecs.length === 0 || activeResolutions.length < 2) return null;
+
+  const toggle = (codec: string) => {
+    setSelectedCodecs((prev) => {
+      const next = new Set(prev);
+      if (next.has(codec)) next.delete(codec);
+      else if (next.size < MAX_SELECTED) next.add(codec);
+      return next;
+    });
+  };
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
+      <div style={{ display: "flex", flexWrap: "wrap", gap: 5, marginBottom: 8, flex: "0 0 auto" }}>
+        {selectorOptions.map((entry) => {
+          const isOn = selectedCodecs.has(entry.codec);
+          const disabled = !isOn && selectedCodecs.size >= MAX_SELECTED;
+          const color = codecColorMap.get(entry.codec) ?? COLORS[0];
+          return (
+            <button
+              key={entry.codec}
+              type="button"
+              title={`${entry.codec} (${entry.samples} samples)`}
+              onClick={() => !disabled && toggle(entry.codec)}
+              style={{
+                padding: "3px 10px",
+                borderRadius: 999,
+                fontSize: 11,
+                border: `1.5px solid ${isOn ? color : "var(--border)"}`,
+                background: isOn ? `color-mix(in srgb, ${color} 18%, var(--surface))` : "transparent",
+                color: "var(--foreground)",
+                cursor: disabled ? "not-allowed" : "pointer",
+                opacity: disabled ? 0.4 : 1,
+              }}
+            >
+              {entry.codec}
+            </button>
+          );
+        })}
+      </div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/ScatterFpsSize.module.css b/frontend/app/components/ScatterFpsSize.module.css
index 61034e5..e010402 100644
--- a/frontend/app/components/ScatterFpsSize.module.css
+++ b/frontend/app/components/ScatterFpsSize.module.css
@@ -1,5 +1,10 @@
 .chartCard {
-  padding: 12px;
+  padding: 14px;
+  border-width: 2px;
+  height: 100%;
+  display: flex;
+  flex-direction: column;
+  box-sizing: border-box;
 }
 
 .headerRow {
@@ -8,25 +13,20 @@
   align-items: center;
   margin-bottom: 8px;
   gap: 12px;
+  flex: 0 0 auto;
 }
 
 .chartTitle {
-  font-weight: 600;
+  font-weight: 700;
+  letter-spacing: 0.02em;
+  text-transform: uppercase;
 }
 
 .codecInput {
-  max-width: 280px;
-}
-
-.rangeControls {
-  margin-top: 8px;
-}
-
-.xRangeWrapper {
-  width: 100%;
+  max-width: 320px;
 }
 
-.xRangeLabel {
-  font-size: 12px;
-  text-align: center;
+.chartBody {
+  flex: 1;
+  min-height: 0;
 }
diff --git a/frontend/app/components/ScatterFpsSize.tsx b/frontend/app/components/ScatterFpsSize.tsx
index e36e8be..633fa41 100644
--- a/frontend/app/components/ScatterFpsSize.tsx
+++ b/frontend/app/components/ScatterFpsSize.tsx
@@ -1,111 +1,81 @@
 "use client";
 
-import { useMemo, useState, useRef, useEffect, useCallback } from "react";
+import { useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
+import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
 import styles from "./ScatterFpsSize.module.css";
 
-type Point = {
-  x: number; // file size (MB)
-  y: number; // fps
-  label: string;
-  color: string;
-};
-
-const COLORS: Record<string, string> = {
-  av1: "#173B34",   // Evergreen
-  h264: "#6C8FD5",  // Cornflower Blue
-  hevc: "#9693CC",  // Lavender Grey
-  vp9: "#d4a843",   // Darker gold (accessible contrast)
-  other: "#CDDBCD", // Ash Grey
-};
-
-function codecKey(codec: string): keyof typeof COLORS {
-  const c = codec.toLowerCase();
-  if (c.includes("av1")) return "av1";
-  if (c.includes("265") || c.includes("hevc") || c.includes("x265")) return "hevc";
-  if (c.includes("264") || c.includes("avc") || c.includes("x264")) return "h264";
-  if (c.includes("vp9") || c.includes("libvpx")) return "vp9";
-  return "other";
-}
-
 export default function ScatterFpsSize({ data }: { data: Benchmark[] }) {
-  const [codecFilter, setCodecFilter] = useState<string>("");
-  const [hover, setHover] = useState<{ domX: number; domY: number; text: string; svgX: number; svgY: number } | null>(null);
-  const [view, setView] = useState<{ xMax: number; yMax: number }>({ xMax: 1, yMax: 1 });
-  const svgRef = useRef<SVGSVGElement | null>(null);
-
-  const points = useMemo<Point[]>(() => {
-    return data
-      .filter((d) => !codecFilter || d.codec.toLowerCase().includes(codecFilter.toLowerCase()))
-      .map((d) => ({
-        x: Math.max(0.001, d.fileSizeBytes / (1024 * 1024)),
-        y: Math.max(0, d.fps),
-        label: `${d.codec} \u2022 ${d.preset}${d.crf != null ? ` \u2022 CRF ${d.crf}` : ""}`,
-        color: COLORS[codecKey(d.codec)],
-      }));
+  const t = useChartTheme();
+  const [codecFilter, setCodecFilter] = useState("");
+
+  const series = useMemo(() => {
+    const filtered = data.filter(
+      (d) => !codecFilter || d.codec.toLowerCase().includes(codecFilter.toLowerCase()),
+    );
+    const map = new Map<string, { value: [number, number]; label: string }[]>();
+    for (const d of filtered) {
+      const key = codecColorKey(d.codec);
+      const arr = map.get(key) || [];
+      arr.push({
+        value: [Math.max(0.001, d.fileSizeBytes / (1024 * 1024)), Math.max(0, d.fps)],
+        label: `${d.codec} • ${d.preset}${d.crf != null ? ` • CRF ${d.crf}` : ""}`,
+      });
+      map.set(key, arr);
+    }
+    return Array.from(map.entries()).map(([key, points]) => ({
+      name: key,
+      type: "scatter" as const,
+      data: points,
+      symbolSize: 6,
+      itemStyle: { color: CODEC_COLORS[key] || CODEC_COLORS.other, opacity: 0.8 },
+      emphasis: { itemStyle: { opacity: 1 }, scale: 1.4 },
+    }));
   }, [data, codecFilter]);
 
-  const width = 720;
-  const height = 380;
-  const margin = { top: 24, right: 24, bottom: 48, left: 56 };
-  const chartWidth = width - margin.left - margin.right;
-  const chartHeight = height - margin.top - margin.bottom;
-
-  let maxXRaw = 1, maxYRaw = 1;
-  for (const p of points) { if (p.x > maxXRaw) maxXRaw = p.x; if (p.y > maxYRaw) maxYRaw = p.y; }
-  const maxX = Math.max(1, view.xMax);
-  const maxY = Math.max(1, view.yMax);
-
-  const xFor = (v: number) => margin.left + (v / maxX) * chartWidth;
-  const yFor = (v: number) => margin.top + chartHeight - (v / maxY) * chartHeight;
-
-  // Initialize view to fit data; update when data changes
-  useEffect(() => {
-    setView({ xMax: Math.ceil(maxXRaw), yMax: Math.ceil(maxYRaw) });
-  }, [maxXRaw, maxYRaw]);
-
-  // Throttle mouse move to one update per animation frame
-  const rafRef = useRef<number | null>(null);
-  useEffect(() => () => { if (rafRef.current) cancelAnimationFrame(rafRef.current); }, []);
-
-  const onMouseMove = useCallback((e: React.MouseEvent<SVGSVGElement>) => {
-    const clientX = e.clientX;
-    const clientY = e.clientY;
-    if (rafRef.current) cancelAnimationFrame(rafRef.current);
-    rafRef.current = requestAnimationFrame(() => {
-      rafRef.current = null;
-      const svg = svgRef.current;
-      if (!svg) return;
-      const rect = svg.getBoundingClientRect();
-      const scaleX = width / rect.width;
-      const scaleY = height / rect.height;
-      const svgMx = (clientX - rect.left) * scaleX;
-      const svgMy = (clientY - rect.top) * scaleY;
-
-      let best: { d2: number; p: Point } | null = null;
-      for (const p of points) {
-        const dx = xFor(p.x) - svgMx;
-        const dy = yFor(p.y) - svgMy;
-        const d2 = dx * dx + dy * dy;
-        if (!best || d2 < best.d2) best = { d2, p };
-      }
-      if (best && best.d2 < 16 * 16) {
-        setHover({
-          domX: clientX - rect.left,
-          domY: clientY - rect.top,
-          svgX: xFor(best.p.x),
-          svgY: yFor(best.p.y),
-          text: `${best.p.label} \u2014 ${best.p.y.toFixed(1)} FPS, ${best.p.x.toFixed(2)} MB`,
-        });
-      } else {
-        setHover(null);
-      }
-    });
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [points, maxX, maxY]);
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "item",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg, fontSize: 12 },
+      formatter: (params: { seriesName: string; value: [number, number]; data: { label: string } }) =>
+        `<b>${params.data.label}</b><br/>Size: ${params.value[0].toFixed(2)} MB<br/>FPS: ${params.value[1].toFixed(1)}`,
+    },
+    legend: {
+      data: series.map((s) => s.name),
+      textStyle: { color: t.fg, fontSize: 11 },
+      top: 4,
+      type: "scroll" as const,
+    },
+    dataZoom: [
+      { type: "inside" },
+      { type: "slider", xAxisIndex: 0, height: 16, bottom: 4, borderColor: t.border, fillerColor: `${t.accent}33`, handleStyle: { color: t.accent }, showDetail: false },
+    ],
+    grid: { left: 52, right: 12, top: 32, bottom: 40, containLabel: false },
+    xAxis: {
+      type: "value",
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11, formatter: (v: number) => `${v.toFixed(0)} MB` },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    yAxis: {
+      type: "value",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series,
+  }), [series, t]);
 
   return (
-    <div className={`card ${styles.chartCard}`} style={{ position: "relative" }}>
+    <div className={`card ${styles.chartCard}`}>
       <div className={styles.headerRow}>
         <div className={styles.chartTitle}>FPS vs File Size</div>
         <input
@@ -115,65 +85,7 @@ export default function ScatterFpsSize({ data }: { data: Benchmark[] }) {
           onChange={(e) => setCodecFilter(e.target.value)}
         />
       </div>
-      <svg ref={svgRef} width="100%" viewBox={`0 0 ${width} ${height}`} role="img" aria-label="FPS vs File Size" onMouseMove={onMouseMove} onMouseLeave={() => setHover(null)}>
-        {/* Grid */}
-        {Array.from({ length: 5 }).map((_, i) => {
-          const y = margin.top + (i * chartHeight) / 4;
-          return <line key={i} x1={margin.left} x2={width - margin.right} y1={y} y2={y} stroke="var(--border)" strokeWidth={1} />;
-        })}
-        {Array.from({ length: 5 }).map((_, i) => {
-          const x = margin.left + (i * chartWidth) / 4;
-          return <line key={`x${i}`} y1={margin.top} y2={height - margin.bottom} x1={x} x2={x} stroke="var(--border)" strokeWidth={1} />;
-        })}
-
-        {/* Points */}
-        {points.map((p, idx) => {
-          const cx = xFor(p.x);
-          const cy = yFor(p.y);
-          const isHovered = hover && Math.hypot(hover.svgX - cx, hover.svgY - cy) < 16;
-          return (
-            <circle key={idx} cx={cx} cy={cy} r={isHovered ? 6 : 4} fill={p.color} stroke="var(--foreground)" strokeWidth={1} />
-          );
-        })}
-
-        {/* X axis */}
-        <line x1={margin.left} x2={width - margin.right} y1={height - margin.bottom} y2={height - margin.bottom} stroke="var(--border)" />
-        {Array.from({ length: 5 }).map((_, i) => {
-          const x = margin.left + (i * chartWidth) / 4;
-          const value = (maxX * i) / 4;
-          return (
-            <text key={i} x={x} y={height - margin.bottom + 24} textAnchor="middle" fontSize={12} fill="var(--foreground)">
-              {value.toFixed(1)} MB
-            </text>
-          );
-        })}
-        <text x={margin.left} y={margin.top - 8} fontSize={12} fill="var(--foreground)">File Size (MB)</text>
-
-        {/* Y axis */}
-        <line x1={margin.left} x2={margin.left} y1={margin.top} y2={height - margin.bottom} stroke="var(--border)" />
-        {Array.from({ length: 5 }).map((_, i) => {
-          const value = (maxY * (4 - i)) / 4;
-          const y = margin.top + (i * chartHeight) / 4;
-          return (
-            <text key={i} x={margin.left - 10} y={y + 4} textAnchor="end" fontSize={12} fill="var(--foreground)">
-              {value.toFixed(0)} FPS
-            </text>
-          );
-        })}
-      </svg>
-      {hover && (
-        <div className="tooltip" style={{ left: hover.domX + 8, top: hover.domY + 8 }}>
-          {hover.text}
-        </div>
-      )}
-
-      {/* Axis range controls */}
-      <div className={styles.rangeControls}>
-        <div className={styles.xRangeWrapper}>
-          <input type="range" min={Math.max(1, Math.ceil(maxXRaw/4))} max={Math.max(2, Math.ceil(maxXRaw * 1.5))} step={1} value={Math.ceil(maxX)} onChange={(e)=> setView(v=>({ ...v, xMax: Number(e.target.value) }))} style={{ width: "100%", accentColor: "var(--accent)" }} />
-          <div className={`subtle ${styles.xRangeLabel}`}>Max File Size (MB)</div>
-        </div>
-      </div>
+      <div className={styles.chartBody}><EChart option={option} /></div>
     </div>
   );
 }
diff --git a/frontend/app/components/ScatterSsimVmaf.tsx b/frontend/app/components/ScatterSsimVmaf.tsx
new file mode 100644
index 0000000..8b4991f
--- /dev/null
+++ b/frontend/app/components/ScatterSsimVmaf.tsx
@@ -0,0 +1,95 @@
+"use client";
+
+import { useMemo, useState } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+import styles from "./ScatterFpsSize.module.css";
+
+export default function ScatterSsimVmaf({ data }: { data: Benchmark[] }) {
+  const t = useChartTheme();
+  const [codecFilter, setCodecFilter] = useState("");
+
+  const series = useMemo(() => {
+    const filtered = data
+      .filter((d) => typeof d.ssim === "number" && typeof d.vmaf === "number")
+      .filter((d) => !codecFilter || d.codec.toLowerCase().includes(codecFilter.toLowerCase()));
+    const map = new Map<string, { value: [number, number]; label: string }[]>();
+    for (const d of filtered) {
+      const key = codecColorKey(d.codec);
+      const arr = map.get(key) || [];
+      arr.push({
+        value: [Math.max(0, Math.min(1, d.ssim as number)), Math.max(0, Math.min(100, d.vmaf as number))],
+        label: `${d.codec} • ${d.preset}${d.crf != null ? ` • CRF ${d.crf}` : ""}`,
+      });
+      map.set(key, arr);
+    }
+    return Array.from(map.entries()).map(([key, points]) => ({
+      name: key,
+      type: "scatter" as const,
+      data: points,
+      symbolSize: 6,
+      itemStyle: { color: CODEC_COLORS[key] || CODEC_COLORS.other, opacity: 0.8 },
+      emphasis: { itemStyle: { opacity: 1 }, scale: 1.4 },
+    }));
+  }, [data, codecFilter]);
+
+  const hasData = series.some((s) => s.data.length > 0);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "item",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg, fontSize: 12 },
+      formatter: (params: { value: [number, number]; data: { label: string } }) =>
+        `<b>${params.data.label}</b><br/>SSIM: ${params.value[0].toFixed(4)}<br/>VMAF: ${params.value[1].toFixed(1)}`,
+    },
+    legend: {
+      data: series.map((s) => s.name),
+      textStyle: { color: t.fg, fontSize: 11 },
+      top: 4,
+      type: "scroll" as const,
+    },
+    dataZoom: [{ type: "inside" }],
+    grid: { left: 52, right: 12, top: 32, bottom: 32, containLabel: false },
+    xAxis: {
+      type: "value",
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 10, formatter: (v: number) => v.toFixed(3) },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    yAxis: {
+      type: "value",
+      name: "VMAF",
+      min: 0,
+      max: 100,
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+    },
+    series,
+  }), [series, t]);
+
+  if (!hasData) return null;
+
+  return (
+    <div className={`card ${styles.chartCard}`}>
+      <div className={styles.headerRow}>
+        <div className={styles.chartTitle}>SSIM vs VMAF</div>
+        <input
+          className={`input ${styles.codecInput}`}
+          placeholder="Filter by codec (e.g. av1, h264)"
+          value={codecFilter}
+          onChange={(e) => setCodecFilter(e.target.value)}
+        />
+      </div>
+      <div className={styles.chartBody}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/SsimHistogram.tsx b/frontend/app/components/SsimHistogram.tsx
new file mode 100644
index 0000000..38aced0
--- /dev/null
+++ b/frontend/app/components/SsimHistogram.tsx
@@ -0,0 +1,93 @@
+"use client";
+
+import { useMemo } from "react";
+import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
+
+export default function SsimHistogram({ data, bins = 20 }: { data: Benchmark[]; bins?: number }) {
+  const t = useChartTheme();
+
+  const values = useMemo(() =>
+    data
+      .map((d) => (typeof d.ssim === "number" ? Math.max(0, Math.min(1, d.ssim)) : null))
+      .filter((v): v is number => v != null),
+    [data]);
+
+  const { binData, lo, hi } = useMemo(() => {
+    if (values.length === 0) return { binData: [], lo: 0, hi: 1 };
+    let lo = values[0], hi = values[0];
+    for (const v of values) { if (v < lo) lo = v; if (v > hi) hi = v; }
+    lo = Math.max(0, lo - 0.005);
+    hi = Math.min(1, hi + 0.005);
+    const step = (hi - lo) / bins;
+    const counts = new Array(bins).fill(0) as number[];
+    for (const v of values) {
+      const idx = Math.min(bins - 1, Math.floor((v - lo) / step));
+      counts[idx] += 1;
+    }
+    return {
+      binData: counts.map((count, i) => [lo + (i + 0.5) * step, count] as [number, number]),
+      lo,
+      hi,
+    };
+  }, [values, bins]);
+
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { value: [number, number] }[]) => {
+        const [mid, count] = params[0].value;
+        const step = (hi - lo) / bins;
+        return `SSIM ${(mid - step / 2).toFixed(4)}–${(mid + step / 2).toFixed(4)}<br/><b>${count} run${count === 1 ? "" : "s"}</b>`;
+      },
+    },
+    dataZoom: [
+      { type: "inside", xAxisIndex: 0 },
+      { type: "slider", xAxisIndex: 0, height: 18, bottom: 4, borderColor: t.border, fillerColor: `${t.accent}33`, handleStyle: { color: t.accent }, showDetail: false },
+    ],
+    grid: { left: 40, right: 12, top: 8, bottom: 40, containLabel: false },
+    xAxis: {
+      type: "value",
+      min: lo,
+      max: hi,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 10, formatter: (v: number) => v.toFixed(3) },
+      splitLine: { show: false },
+    },
+    yAxis: {
+      type: "value",
+      name: "Count",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+      minInterval: 1,
+    },
+    series: [
+      {
+        type: "bar",
+        data: binData,
+        barWidth: "95%",
+        itemStyle: { color: "#6C8FD5", borderRadius: [3, 3, 0, 0] },
+        emphasis: { itemStyle: { color: "#8aabea" } },
+      },
+    ],
+  }), [binData, lo, hi, bins, t]);
+
+  if (values.length === 0) return null;
+
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 4, flex: "0 0 auto" }}>SSIM Distribution</div>
+      <div className="subtle" style={{ fontSize: 11, marginBottom: 8, flex: "0 0 auto" }}>Scroll to zoom · drag to pan</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
+    </div>
+  );
+}
diff --git a/frontend/app/components/StatsCards.module.css b/frontend/app/components/StatsCards.module.css
index 5755dd5..cd93267 100644
--- a/frontend/app/components/StatsCards.module.css
+++ b/frontend/app/components/StatsCards.module.css
@@ -1,8 +1,8 @@
 .grid {
   display: grid;
-  grid-template-columns: repeat(5, 1fr);
+  grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
   gap: 12px;
-  margin-bottom: 16px;
+  margin-bottom: 18px;
 }
 
 @media (max-width: 768px) {
@@ -12,17 +12,21 @@
 }
 
 .card {
-  padding: 12px 16px;
+  padding: 14px 16px;
+  border-width: 2px;
 }
 
 .label {
   font-size: 12px;
   color: var(--muted);
   margin-bottom: 4px;
+  text-transform: uppercase;
+  letter-spacing: 0.05em;
 }
 
 .value {
-  font-size: 20px;
-  font-weight: 600;
+  font-size: 22px;
+  font-weight: 700;
   color: var(--accent);
+  font-family: "Consolas", "Menlo", "Monaco", "Courier New", monospace;
 }
diff --git a/frontend/app/components/VmafHistogram.tsx b/frontend/app/components/VmafHistogram.tsx
index cb09117..bf52120 100644
--- a/frontend/app/components/VmafHistogram.tsx
+++ b/frontend/app/components/VmafHistogram.tsx
@@ -1,122 +1,94 @@
 "use client";
 
+import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
+import { useChartTheme } from "../lib/useChartTheme";
+import EChart from "./EChart";
 
-import { useMemo, useRef, useState } from "react";
+export default function VmafHistogram({ data, bins = 20 }: { data: Benchmark[]; bins?: number }) {
+  const t = useChartTheme();
 
-export default function VmafHistogram({ data, bins = 12 }: { data: Benchmark[]; bins?: number }) {
-  const [hover, setHover] = useState<{ x: number; y: number; text: string } | null>(null);
-  const svgRef = useRef<SVGSVGElement | null>(null);
+  const values = useMemo(() =>
+    data
+      .map((d) => (typeof d.vmaf === "number" ? Math.max(0, Math.min(100, d.vmaf)) : null))
+      .filter((v): v is number => v != null),
+    [data]);
 
-  const valuesAll = useMemo(() => {
-    return data.map((d) => typeof d.vmaf === "number" ? Math.max(0, Math.min(100, d.vmaf)) : null).filter((v): v is number => v != null);
-  }, [data]);
-
-  const { autoMin, autoMax } = useMemo(() => {
-    if (valuesAll.length === 0) return { autoMin: 0, autoMax: 100 };
-    let lo = valuesAll[0], hi = valuesAll[0];
-    for (const v of valuesAll) { if (v < lo) lo = v; if (v > hi) hi = v; }
-    return { autoMin: Math.max(0, Math.min(lo, 80)), autoMax: Math.min(100, Math.max(hi, 95)) };
-  }, [valuesAll]);
-
-  const [range, setRange] = useState<{ min: number; max: number }>({ min: autoMin, max: autoMax });
-
-  if (valuesAll.length === 0) return null;
-
-  const { counts, maxCount, step } = useMemo(() => {
-    const mn = range.min;
-    const mx = range.max;
-    const s = (mx - mn) / bins;
-    const visible = valuesAll.filter(v => v >= mn && v <= mx);
-    const c = new Array(bins).fill(0) as number[];
-    for (const v of visible) {
-      const idx = Math.min(bins - 1, Math.floor((v - mn) / s));
-      c[idx] += 1;
+  const { binData, lo, hi } = useMemo(() => {
+    if (values.length === 0) return { binData: [], lo: 0, hi: 100 };
+    let lo = values[0], hi = values[0];
+    for (const v of values) { if (v < lo) lo = v; if (v > hi) hi = v; }
+    // Widen slightly so all bars are visible
+    lo = Math.max(0, lo - 1);
+    hi = Math.min(100, hi + 1);
+    const step = (hi - lo) / bins;
+    const counts = new Array(bins).fill(0) as number[];
+    for (const v of values) {
+      const idx = Math.min(bins - 1, Math.floor((v - lo) / step));
+      counts[idx] += 1;
     }
-    let mc = 1;
-    for (const count of c) if (count > mc) mc = count;
-    return { counts: c, maxCount: mc, step: s };
-  }, [valuesAll, range.min, range.max, bins]);
-
-  const min = range.min;
-  const max = range.max;
-
-  const width = 720;
-  const height = 280;
-  const margin = { top: 24, right: 16, bottom: 40, left: 40 };
-  const chartWidth = width - margin.left - margin.right;
-  const chartHeight = height - margin.top - margin.bottom;
-
-  const barGap = 2;
-  const barWidth = (chartWidth - barGap * (bins - 1)) / bins;
-  const xFor = (i: number) => margin.left + i * (barWidth + barGap);
-  const yFor = (c: number) => margin.top + chartHeight - (c / maxCount) * chartHeight;
-
-  // Convert SVG coordinates to DOM pixel coordinates for tooltip positioning
-  function svgToDom(svgX: number, svgY: number): { x: number; y: number } {
-    const rect = svgRef.current?.getBoundingClientRect();
-    if (!rect) return { x: svgX, y: svgY };
     return {
-      x: (svgX / width) * rect.width,
-      y: (svgY / height) * rect.height,
+      binData: counts.map((count, i) => [lo + (i + 0.5) * step, count] as [number, number]),
+      lo,
+      hi,
     };
-  }
+  }, [values, bins]);
 
-  return (
-    <div className="card" style={{ padding: 12, position: "relative" }}>
-      <div style={{ fontWeight: 600, marginBottom: 8 }}>VMAF Distribution</div>
-      <svg ref={svgRef} width="100%" viewBox={`0 0 ${width} ${height}`} role="img" aria-label="VMAF Histogram" onMouseLeave={() => setHover(null)}>
-        {/* Grid */}
-        {Array.from({ length: 4 }).map((_, i) => {
-          const y = margin.top + (i * chartHeight) / 3;
-          return <line key={i} x1={margin.left} x2={width - margin.right} y1={y} y2={y} stroke="var(--border)" strokeWidth={1} />;
-        })}
+  const option = useMemo(() => ({
+    backgroundColor: "transparent",
+    tooltip: {
+      trigger: "axis",
+      backgroundColor: t.surface,
+      borderColor: t.border,
+      textStyle: { color: t.fg },
+      formatter: (params: { value: [number, number] }[]) => {
+        const [mid, count] = params[0].value;
+        const step = (hi - lo) / bins;
+        return `VMAF ${(mid - step / 2).toFixed(1)}–${(mid + step / 2).toFixed(1)}<br/><b>${count} run${count === 1 ? "" : "s"}</b>`;
+      },
+    },
+    dataZoom: [
+      { type: "inside", xAxisIndex: 0 },
+      { type: "slider", xAxisIndex: 0, height: 18, bottom: 4, borderColor: t.border, fillerColor: `${t.accent}33`, handleStyle: { color: t.accent }, showDetail: false },
+    ],
+    grid: { left: 40, right: 12, top: 8, bottom: 40, containLabel: false },
+    xAxis: {
+      type: "value",
+      min: lo,
+      max: hi,
+      axisLine: { lineStyle: { color: t.border } },
+      axisTick: { lineStyle: { color: t.border } },
+      axisLabel: { color: t.fg, fontSize: 11 },
+      splitLine: { show: false },
+    },
+    yAxis: {
+      type: "value",
+      name: "Count",
+      nameTextStyle: { color: t.muted, fontSize: 11 },
+      axisLine: { show: false },
+      axisTick: { show: false },
+      axisLabel: { color: t.muted, fontSize: 11 },
+      splitLine: { lineStyle: { color: t.border } },
+      minInterval: 1,
+    },
+    series: [
+      {
+        type: "bar",
+        data: binData,
+        barWidth: "95%",
+        itemStyle: { color: "#9693CC", borderRadius: [3, 3, 0, 0] },
+        emphasis: { itemStyle: { color: "#b3b0e0" } },
+      },
+    ],
+  }), [binData, lo, hi, bins, t]);
 
-        {counts.map((c, i) => {
-          const x = xFor(i);
-          const y = yFor(c);
-          const h = margin.top + chartHeight - y;
-          const labelFrom = Math.round(min + i * step);
-          const labelTo = Math.round(min + (i + 1) * step);
-          return (
-            <g key={i} onMouseEnter={() => {
-              const dom = svgToDom(x + barWidth / 2 + 8, y);
-              setHover({ x: dom.x, y: dom.y, text: `${labelFrom}\u2013${labelTo}: ${c}` });
-            }} onMouseLeave={() => setHover(null)}>
-              <rect x={x} y={y} width={barWidth} height={h} fill="var(--accent-secondary)" rx={3} />
-            </g>
-          );
-        })}
+  if (values.length === 0) return null;
 
-        {/* Axis */}
-        <line x1={margin.left} x2={width - margin.right} y1={height - margin.bottom} y2={height - margin.bottom} stroke="var(--border)" />
-        {Array.from({ length: 5 }).map((_, i) => {
-          const x = margin.left + (i * chartWidth) / 4;
-          const value = min + ((max - min) * i) / 4;
-          return (
-            <text key={i} x={x} y={height - margin.bottom + 24} textAnchor="middle" fontSize={12} fill="var(--foreground)">
-              {value.toFixed(0)}
-            </text>
-          );
-        })}
-        <text x={margin.left} y={margin.top - 8} fontSize={12} fill="var(--foreground)">VMAF</text>
-      </svg>
-      {/* Range sliders under chart */}
-      <div style={{ display: "grid", gridTemplateColumns: "1fr 1fr", gap: 12, marginTop: 8 }}>
-        <label style={{ display: "flex", flexDirection: "column", gap: 6 }}>
-          <span className="subtle" style={{ fontSize: 12 }}>Min VMAF</span>
-          <input type="range" min={0} max={Math.max(0, range.max - 5)} step={1} value={range.min} onChange={e => setRange(r => ({ ...r, min: Math.min(Number(e.target.value), r.max - 5) }))} style={{ accentColor: "var(--accent)" }} />
-        </label>
-        <label style={{ display: "flex", flexDirection: "column", gap: 6 }}>
-          <span className="subtle" style={{ fontSize: 12 }}>Max VMAF</span>
-          <input type="range" min={Math.min(100, range.min + 5)} max={100} step={1} value={range.max} onChange={e => setRange(r => ({ ...r, max: Math.max(Number(e.target.value), r.min + 5) }))} style={{ accentColor: "var(--accent)" }} />
-        </label>
-      </div>
-      {hover && (
-        <div className="tooltip" style={{ left: hover.x, top: hover.y }}>
-          {hover.text}
-        </div>
-      )}
+  return (
+    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
+      <div style={{ fontWeight: 600, marginBottom: 4, flex: "0 0 auto" }}>VMAF Distribution</div>
+      <div className="subtle" style={{ fontSize: 11, marginBottom: 8, flex: "0 0 auto" }}>Scroll to zoom · drag to pan</div>
+      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
     </div>
   );
 }
diff --git a/frontend/app/globals.css b/frontend/app/globals.css
index ed05c03..bc9e51b 100644
--- a/frontend/app/globals.css
+++ b/frontend/app/globals.css
@@ -75,10 +75,14 @@ body {
 
 body {
   color: var(--foreground);
-  background: var(--background);
-  font-family: var(--font-geist-sans), Arial, Helvetica, sans-serif;
+  background:
+    radial-gradient(circle at 12% 18%, color-mix(in srgb, var(--accent) 20%, transparent) 0, transparent 38%),
+    radial-gradient(circle at 86% 8%, color-mix(in srgb, var(--accent-secondary) 16%, transparent) 0, transparent 34%),
+    linear-gradient(180deg, color-mix(in srgb, var(--background) 93%, #ffffff) 0%, var(--background) 100%);
+  font-family: "Trebuchet MS", "Lucida Sans Unicode", "Lucida Grande", "Segoe UI", sans-serif;
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
+  line-height: 1.4;
 }
 
 * {
@@ -105,8 +109,12 @@ a {
 /* Utility classes used inline to avoid hard-coded colors */
 .card {
   background: var(--surface);
-  border: 1px solid var(--border);
-  border-radius: 8px;
+  border: 1px solid color-mix(in srgb, var(--border) 75%, var(--accent) 25%);
+  border-radius: 12px;
+  box-shadow:
+    0 1px 0 color-mix(in srgb, var(--highlight) 48%, transparent),
+    0 10px 24px color-mix(in srgb, #000000 12%, transparent);
+  backdrop-filter: blur(1px);
 }
 
 .subtle {
@@ -114,16 +122,25 @@ a {
 }
 
 .btn {
-  border: 1px solid var(--border);
+  border: 1px solid color-mix(in srgb, var(--border) 72%, var(--accent-secondary) 28%);
   border-radius: 10px;
-  background: var(--surface-2);
+  background: linear-gradient(
+    180deg,
+    color-mix(in srgb, var(--surface-2) 86%, var(--highlight) 14%),
+    var(--surface-2)
+  );
   color: var(--foreground);
-  transition: all 150ms ease;
+  transition: transform 140ms ease, box-shadow 140ms ease, border-color 140ms ease, background 140ms ease;
 }
 
 .btn:hover {
-  background: color-mix(in srgb, var(--accent) 12%, var(--surface-2));
-  box-shadow: 0 2px 6px rgba(0,0,0,0.12);
+  background: linear-gradient(
+    180deg,
+    color-mix(in srgb, var(--accent) 12%, var(--surface-2)),
+    color-mix(in srgb, var(--accent) 6%, var(--surface-2))
+  );
+  border-color: color-mix(in srgb, var(--accent) 52%, var(--border));
+  box-shadow: 0 6px 14px color-mix(in srgb, #000 18%, transparent);
   transform: translateY(-1px);
 }
 
@@ -184,14 +201,22 @@ a {
 .input {
   width: 100%;
   padding: 10px 12px;
-  border: 1px solid var(--border);
+  border: 1px solid color-mix(in srgb, var(--border) 70%, var(--accent-secondary) 30%);
   border-radius: 8px;
-  background: var(--surface-2);
+  background: color-mix(in srgb, var(--surface-2) 88%, var(--highlight) 12%);
   color: var(--foreground);
+  font-family: "Consolas", "Menlo", "Monaco", "Courier New", monospace;
+  transition: border-color 120ms ease, box-shadow 120ms ease;
+}
+
+.input:focus-visible {
+  outline: none;
+  border-color: color-mix(in srgb, var(--accent) 64%, var(--border));
+  box-shadow: 0 0 0 2px color-mix(in srgb, var(--accent) 22%, transparent);
 }
 
 .kbd {
-  font-family: var(--font-geist-mono), ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+  font-family: "Consolas", "Menlo", "Monaco", "Courier New", monospace;
   font-size: 13px;
   line-height: 1.5;
   background: var(--surface-2);
diff --git a/frontend/app/hardware/page.module.css b/frontend/app/hardware/page.module.css
new file mode 100644
index 0000000..6b2465d
--- /dev/null
+++ b/frontend/app/hardware/page.module.css
@@ -0,0 +1,37 @@
+.container {
+  padding: 28px 24px 40px;
+  max-width: 1360px;
+  margin: 0 auto;
+}
+
+.heading {
+  font-size: clamp(1.4rem, 2vw, 2rem);
+  font-weight: 700;
+  margin-bottom: 8px;
+  letter-spacing: 0.02em;
+  text-transform: uppercase;
+}
+
+.subheading {
+  font-size: 1.1rem;
+  font-weight: 600;
+  margin-bottom: 12px;
+}
+
+.grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fit, minmax(360px, 1fr));
+  grid-auto-rows: 300px;
+  gap: 16px;
+}
+
+@media (max-width: 768px) {
+  .container {
+    padding: 20px 12px 28px;
+  }
+
+  .grid {
+    grid-template-columns: 1fr;
+    gap: 12px;
+  }
+}
diff --git a/frontend/app/hardware/page.tsx b/frontend/app/hardware/page.tsx
new file mode 100644
index 0000000..9ea2b19
--- /dev/null
+++ b/frontend/app/hardware/page.tsx
@@ -0,0 +1,64 @@
+import type { Benchmark } from "../components/BenchmarksTable";
+import ErrorBoundary from "../components/ErrorBoundary";
+import HardwareRecommendation from "../components/HardwareRecommendation";
+import EfficiencyChart from "../components/EfficiencyChart";
+import GpuUtilChart from "../components/GpuUtilChart";
+import PowerConsumptionChart from "../components/PowerConsumptionChart";
+import CpuUtilHeatmap from "../components/CpuUtilHeatmap";
+import { fetchBenchmarks } from "../lib/fetchBenchmarks";
+import styles from "./page.module.css";
+
+export const dynamic = "force-dynamic";
+
+export default async function HardwarePage() {
+  let data: Benchmark[] = [];
+  let error: string | null = null;
+  try {
+    data = await fetchBenchmarks();
+  } catch (e: unknown) {
+    error = e instanceof Error ? e.message : "Unknown error";
+  }
+
+  if (error) {
+    return (
+      <div className={styles.container}>
+        <h1 className={styles.heading}>Hardware Intelligence</h1>
+        <div style={{ background: "var(--error-bg)", color: "var(--error-fg)", padding: 12, borderRadius: 8 }}>
+          Failed to load data: {error}
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className={styles.container}>
+      <h1 className={styles.heading}>Hardware Intelligence</h1>
+      <p className="subtle" style={{ marginBottom: 24 }}>
+        Hardware recommendations and efficiency analysis based on real benchmark data.
+        Power and GPU metrics require submissions from systems with NVIDIA GPUs.
+      </p>
+
+      <div className="card" style={{ padding: 16, marginBottom: 32 }}>
+        <h2 style={{ fontSize: 18, fontWeight: 600, marginBottom: 12 }}>Hardware Recommendation Engine</h2>
+        <p className="subtle" style={{ marginBottom: 16, fontSize: 14 }}>
+          Select a codec and priority to see which hardware performs best. Rankings are based on
+          aggregated benchmark data from all submissions.
+        </p>
+        <ErrorBoundary>
+          <HardwareRecommendation data={data} />
+        </ErrorBoundary>
+      </div>
+
+      <h2 className={styles.subheading}>Efficiency Metrics</h2>
+      <div className={styles.grid}>
+        <ErrorBoundary><EfficiencyChart data={data} /></ErrorBoundary>
+        <ErrorBoundary><GpuUtilChart data={data} /></ErrorBoundary>
+        <ErrorBoundary><PowerConsumptionChart data={data} /></ErrorBoundary>
+      </div>
+
+      <div style={{ marginTop: 16 }}>
+        <ErrorBoundary><CpuUtilHeatmap data={data} /></ErrorBoundary>
+      </div>
+    </div>
+  );
+}
diff --git a/frontend/app/layout.module.css b/frontend/app/layout.module.css
index 7e5d71d..2ccd601 100644
--- a/frontend/app/layout.module.css
+++ b/frontend/app/layout.module.css
@@ -1,44 +1,73 @@
 .headerBar {
-  background: #173B34;
-  border-bottom: 1px solid #0f2a24;
-  padding: 12px 24px;
+  background:
+    linear-gradient(180deg, color-mix(in srgb, #173B34 88%, #0d241f) 0%, #173B34 100%);
+  border-bottom: 1px solid color-mix(in srgb, #0f2a24 70%, #6C8FD5 30%);
+  box-shadow: 0 6px 18px rgba(9, 20, 18, 0.34);
+  padding: 10px 20px;
+  position: sticky;
+  top: 0;
+  z-index: 20;
+  backdrop-filter: blur(6px);
 }
 
 .nav {
   display: flex;
   align-items: center;
   justify-content: space-between;
-  max-width: 1200px;
+  max-width: 1360px;
   margin: 0 auto;
+  gap: 16px;
 }
 
 .brandLink {
-  font-weight: 600;
+  font-weight: 700;
   text-decoration: none;
-  color: #6C8FD5;
-  font-size: 16px;
+  color: #EBE4B3;
+  font-size: 1.05rem;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  text-shadow: 0 0 10px rgba(108, 143, 213, 0.3);
 }
 
 .navLinks {
   display: flex;
-  gap: 12px;
+  gap: 8px;
   align-items: center;
+  flex-wrap: wrap;
+  justify-content: flex-end;
 }
 
 .navBtn {
   text-decoration: none;
-  padding: 6px 10px;
+  padding: 6px 9px;
   color: #CDDBCD;
-  background: transparent;
+  background: color-mix(in srgb, #173B34 78%, #0f2a24);
   border: 1px solid #1e3a33;
-  border-radius: 10px;
+  border-radius: 8px;
   transition: all 150ms ease;
-  font-size: inherit;
+  font-size: 0.88rem;
+  letter-spacing: 0.02em;
 }
 
 .navBtn:hover {
-  background: #1e3a33;
-  color: #ffffff;
-  box-shadow: 0 2px 6px rgba(0,0,0,0.12);
-  transform: translateY(-1px);
+  background: color-mix(in srgb, #1e3a33 72%, #6C8FD5 28%);
+  color: #EBE4B3;
+  box-shadow: 0 4px 10px rgba(0, 0, 0, 0.24);
+  transform: translateY(-1px) scale(1.01);
+}
+
+@media (max-width: 980px) {
+  .headerBar {
+    padding: 10px 12px;
+  }
+
+  .nav {
+    align-items: flex-start;
+    flex-direction: column;
+  }
+
+  .navLinks {
+    width: 100%;
+    justify-content: flex-start;
+  }
 }
diff --git a/frontend/app/layout.tsx b/frontend/app/layout.tsx
index 87fab84..900fb24 100644
--- a/frontend/app/layout.tsx
+++ b/frontend/app/layout.tsx
@@ -1,20 +1,9 @@
 import type { Metadata } from "next";
-import { Geist, Geist_Mono } from "next/font/google";
 import Link from "next/link";
 import "./globals.css";
 import styles from "./layout.module.css";
 import ThemeToggle from "./components/ThemeToggle";
 
-const geistSans = Geist({
-  variable: "--font-geist-sans",
-  subsets: ["latin"],
-});
-
-const geistMono = Geist_Mono({
-  variable: "--font-geist-mono",
-  subsets: ["latin"],
-});
-
 export const metadata: Metadata = {
   title: "Encoding Benchmarks",
   description: "Community-Submitted Encoding Benchmarks",
@@ -34,14 +23,16 @@ export default function RootLayout({
           }}
         />
       </head>
-      <body className={`${geistSans.variable} ${geistMono.variable}`}>
+      <body>
         <header className={styles.headerBar}>
           <nav className={styles.nav}>
             <Link href="/" className={`link ${styles.brandLink}`}>Encoding DB</Link>
             <div className={styles.navLinks}>
               <Link href="/" className={styles.navBtn}>Home</Link>
-              <Link href="/plove" className={styles.navBtn}>PLOVE</Link>
-              <Link href="/analytics" className={styles.navBtn}>Analytics</Link>
+              <Link href="/plove" className={styles.navBtn}>PL Score</Link>
+              <Link href="/compare-encoders" className={styles.navBtn}>Encoders</Link>
+              <Link href="/leaderboards" className={styles.navBtn}>Leaderboards</Link>
+              <Link href="/hardware" className={styles.navBtn}>Hardware</Link>
               <a href="https://github.com/oliverdougherC/Encoding_Database/releases" target="_blank" rel="noreferrer" className={styles.navBtn}>Download Client</a>
               <ThemeToggle />
             </div>
diff --git a/frontend/app/leaderboards/page.module.css b/frontend/app/leaderboards/page.module.css
new file mode 100644
index 0000000..aec7c1f
--- /dev/null
+++ b/frontend/app/leaderboards/page.module.css
@@ -0,0 +1,21 @@
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+  padding: 24px 16px;
+}
+
+.heading {
+  margin-bottom: 8px;
+}
+
+.grid {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 16px;
+}
+
+@media (max-width: 768px) {
+  .grid {
+    grid-template-columns: 1fr;
+  }
+}
diff --git a/frontend/app/leaderboards/page.tsx b/frontend/app/leaderboards/page.tsx
new file mode 100644
index 0000000..c730c87
--- /dev/null
+++ b/frontend/app/leaderboards/page.tsx
@@ -0,0 +1,224 @@
+import type { Benchmark } from "../lib/types";
+import { DEFAULT_PL_SCORE_WEIGHTS, createPlScoreContext, scorePlBenchmarkV6 } from "../lib/plScore";
+import LeaderboardTable from "../components/LeaderboardTable";
+import { fetchBenchmarks } from "../lib/fetchBenchmarks";
+import styles from "./page.module.css";
+
+export const dynamic = "force-dynamic";
+
+type GroupAgg = {
+  key: string;
+  codec: string;
+  preset: string;
+  count: number;
+  fps: number;
+  fpsN: number;
+  vmaf: number;
+  vmafN: number;
+  ssim: number;
+  ssimN: number;
+  psnr: number;
+  psnrN: number;
+  sizeBytes: number;
+  sizeN: number;
+  fpsPerWatt: number;
+  fpsPerWattN: number;
+  qualityPerWatt: number;
+  qualityPerWattN: number;
+  gpuPowerAvgW: number;
+  gpuPowerN: number;
+  cpuSpread: number;
+  cpuSpreadN: number;
+  peakMemoryMB: number;
+  peakMemoryN: number;
+  thermalThrottleHits: number;
+};
+
+function groupByCodecPreset(data: Benchmark[]): Map<string, GroupAgg> {
+  const map = new Map<string, GroupAgg>();
+  for (const d of data) {
+    const key = `${d.codec} / ${d.preset}`;
+    const g = map.get(key) || {
+      key,
+      codec: d.codec,
+      preset: d.preset,
+      count: 0,
+      fps: 0,
+      fpsN: 0,
+      vmaf: 0,
+      vmafN: 0,
+      ssim: 0,
+      ssimN: 0,
+      psnr: 0,
+      psnrN: 0,
+      sizeBytes: 0,
+      sizeN: 0,
+      fpsPerWatt: 0,
+      fpsPerWattN: 0,
+      qualityPerWatt: 0,
+      qualityPerWattN: 0,
+      gpuPowerAvgW: 0,
+      gpuPowerN: 0,
+      cpuSpread: 0,
+      cpuSpreadN: 0,
+      peakMemoryMB: 0,
+      peakMemoryN: 0,
+      thermalThrottleHits: 0,
+    };
+    if (d.fps > 0) { g.fps += d.fps; g.fpsN++; }
+    if (typeof d.vmaf === "number") { g.vmaf += d.vmaf; g.vmafN++; }
+    if (typeof d.ssim === "number") { g.ssim += d.ssim; g.ssimN++; }
+    if (typeof d.psnr === "number") { g.psnr += d.psnr; g.psnrN++; }
+    if (d.fileSizeBytes > 0) { g.sizeBytes += d.fileSizeBytes; g.sizeN++; }
+    if (typeof d.fpsPerWatt === "number" && d.fpsPerWatt > 0) {
+      g.fpsPerWatt += d.fpsPerWatt;
+      g.fpsPerWattN++;
+    } else if (d.fps > 0 && typeof d.gpuPowerAvgW === "number" && d.gpuPowerAvgW > 0) {
+      g.fpsPerWatt += d.fps / d.gpuPowerAvgW;
+      g.fpsPerWattN++;
+    }
+    if (typeof d.qualityPerWatt === "number" && d.qualityPerWatt > 0) {
+      g.qualityPerWatt += d.qualityPerWatt;
+      g.qualityPerWattN++;
+    } else if (typeof d.vmaf === "number" && typeof d.gpuPowerAvgW === "number" && d.gpuPowerAvgW > 0) {
+      g.qualityPerWatt += d.vmaf / d.gpuPowerAvgW;
+      g.qualityPerWattN++;
+    }
+    if (typeof d.gpuPowerAvgW === "number" && d.gpuPowerAvgW > 0) {
+      g.gpuPowerAvgW += d.gpuPowerAvgW;
+      g.gpuPowerN++;
+    }
+    if (typeof d.cpuUtilAvg === "number" && typeof d.cpuUtilMax === "number") {
+      g.cpuSpread += Math.max(0, d.cpuUtilMax - d.cpuUtilAvg);
+      g.cpuSpreadN++;
+    }
+    if (typeof d.peakMemoryMB === "number" && d.peakMemoryMB > 0) {
+      g.peakMemoryMB += d.peakMemoryMB;
+      g.peakMemoryN++;
+    }
+    if (d.thermalThrottle === true) g.thermalThrottleHits++;
+    g.count++;
+    map.set(key, g);
+  }
+  return map;
+}
+
+export default async function LeaderboardsPage() {
+  let data: Benchmark[] = [];
+  let error: string | null = null;
+  try {
+    data = await fetchBenchmarks();
+  } catch (e: unknown) {
+    error = e instanceof Error ? e.message : "Unknown error";
+  }
+
+  if (error) {
+    return (
+      <div className={styles.container}>
+        <h1 className={styles.heading}>Leaderboards</h1>
+        <div style={{ background: "var(--error-bg)", color: "var(--error-fg)", padding: 12, borderRadius: 8 }}>
+          Failed to load data: {error}
+        </div>
+      </div>
+    );
+  }
+
+  const groups = groupByCodecPreset(data);
+
+  // Compute averages
+  const aggs = Array.from(groups.values()).map((g) => ({
+    key: g.key,
+    codec: g.codec,
+    preset: g.preset,
+    avgFps: g.fpsN > 0 ? g.fps / g.fpsN : 0,
+    avgVmaf: g.vmafN > 0 ? g.vmaf / g.vmafN : null,
+    avgSsim: g.ssimN > 0 ? g.ssim / g.ssimN : null,
+    avgPsnr: g.psnrN > 0 ? g.psnr / g.psnrN : null,
+    avgSizeBytes: g.sizeN > 0 ? g.sizeBytes / g.sizeN : 0,
+    avgSizeMB: g.sizeN > 0 ? (g.sizeBytes / g.sizeN) / (1024 * 1024) : 0,
+    avgFpsPerWatt: g.fpsPerWattN > 0 ? g.fpsPerWatt / g.fpsPerWattN : null,
+    avgQualityPerWatt: g.qualityPerWattN > 0 ? g.qualityPerWatt / g.qualityPerWattN : null,
+    avgGpuPower: g.gpuPowerN > 0 ? g.gpuPowerAvgW / g.gpuPowerN : null,
+    avgCpuSpread: g.cpuSpreadN > 0 ? g.cpuSpread / g.cpuSpreadN : null,
+    avgPeakMemory: g.peakMemoryN > 0 ? g.peakMemoryMB / g.peakMemoryN : null,
+    thermalThrottleRate: g.count > 0 ? g.thermalThrottleHits / g.count : 0,
+    count: g.count,
+  }));
+
+  const nowIso = new Date().toISOString();
+  const scoringRows: Benchmark[] = aggs.map((a, i) => {
+    const cpuAvgSynthetic = a.avgCpuSpread != null ? 72 : null;
+    const cpuMaxSynthetic = a.avgCpuSpread != null ? 72 + a.avgCpuSpread : null;
+    return {
+      id: `leaderboard-${i}`,
+      createdAt: nowIso,
+      cpuModel: a.key,
+      gpuModel: null,
+      ramGB: 0,
+      os: "aggregated",
+      codec: a.codec,
+      preset: a.preset,
+      crf: null,
+      fps: a.avgFps,
+      vmaf: a.avgVmaf,
+      ssim: a.avgSsim,
+      psnr: a.avgPsnr,
+      fileSizeBytes: Math.max(1, Math.round(a.avgSizeBytes)),
+      notes: null,
+      fpsPerWatt: a.avgFpsPerWatt,
+      qualityPerWatt: a.avgQualityPerWatt,
+      gpuPowerAvgW: a.avgGpuPower,
+      cpuUtilAvg: cpuAvgSynthetic,
+      cpuUtilMax: cpuMaxSynthetic,
+      peakMemoryMB: a.avgPeakMemory,
+      thermalThrottle: a.thermalThrottleRate >= 0.25,
+      status: "accepted",
+      samples: a.count,
+    };
+  });
+  const plContext = createPlScoreContext(scoringRows);
+
+  const fastest = [...aggs].sort((a, b) => b.avgFps - a.avgFps).map((a) => ({ name: a.key, value: a.avgFps, formattedValue: `${a.avgFps.toFixed(1)} FPS` }));
+  const bestQuality = [...aggs].filter((a) => typeof a.avgVmaf === "number" && a.avgVmaf > 0).sort((a, b) => (b.avgVmaf ?? 0) - (a.avgVmaf ?? 0)).map((a) => ({ name: a.key, value: a.avgVmaf ?? 0, formattedValue: (a.avgVmaf ?? 0).toFixed(1) }));
+  const bestCompression = [...aggs].filter((a) => a.avgSizeMB > 0).sort((a, b) => a.avgSizeMB - b.avgSizeMB).map((a) => ({ name: a.key, value: 1 / Math.max(0.01, a.avgSizeMB), formattedValue: `${a.avgSizeMB.toFixed(2)} MB` }));
+  const bestPlScore = aggs
+    .map((a, idx) => {
+      const score = scorePlBenchmarkV6(scoringRows[idx]!, plContext, DEFAULT_PL_SCORE_WEIGHTS).total;
+      return { ...a, plScore: score };
+    })
+    .sort((a, b) => b.plScore - a.plScore)
+    .map((a) => ({ name: a.key, value: a.plScore, formattedValue: a.plScore.toFixed(1) }));
+
+  // By CPU model
+  const cpuCounts = new Map<string, number>();
+  for (const d of data) {
+    cpuCounts.set(d.cpuModel, (cpuCounts.get(d.cpuModel) || 0) + 1);
+  }
+  const mostTestedCpus = Array.from(cpuCounts.entries())
+    .sort((a, b) => b[1] - a[1])
+    .map(([name, count]) => ({ name, value: count, formattedValue: String(count) }));
+
+  // By codec
+  const codecCounts = new Map<string, number>();
+  for (const d of data) {
+    codecCounts.set(d.codec, (codecCounts.get(d.codec) || 0) + 1);
+  }
+  const mostTestedCodecs = Array.from(codecCounts.entries())
+    .sort((a, b) => b[1] - a[1])
+    .map(([name, count]) => ({ name, value: count, formattedValue: String(count) }));
+
+  return (
+    <div className={styles.container}>
+      <h1 className={styles.heading}>Leaderboards</h1>
+      <p className="subtle" style={{ marginBottom: 24 }}>Top-performing encoders ranked across key metrics. Based on community-submitted benchmarks.</p>
+      <div className={styles.grid}>
+        <LeaderboardTable title="Fastest Encoders" entries={fastest} valueLabel="Avg FPS" />
+        <LeaderboardTable title="Best Quality" entries={bestQuality} valueLabel="Avg VMAF" />
+        <LeaderboardTable title="Best Compression" entries={bestCompression} valueLabel="Avg Size" />
+        <LeaderboardTable title="Best PL Score v6" entries={bestPlScore} valueLabel="Score" />
+        <LeaderboardTable title="Most Tested CPUs" entries={mostTestedCpus} valueLabel="Submissions" />
+        <LeaderboardTable title="Most Tested Codecs" entries={mostTestedCodecs} valueLabel="Submissions" />
+      </div>
+    </div>
+  );
+}
diff --git a/frontend/app/lib/chartColors.ts b/frontend/app/lib/chartColors.ts
new file mode 100644
index 0000000..871af7a
--- /dev/null
+++ b/frontend/app/lib/chartColors.ts
@@ -0,0 +1,16 @@
+export const CODEC_COLORS: Record<string, string> = {
+  av1: "#52b788",
+  h264: "#6C8FD5",
+  hevc: "#9693CC",
+  vp9: "#d4a843",
+  other: "#e07a5f",
+};
+
+export function codecColorKey(codec: string): string {
+  const c = codec.toLowerCase();
+  if (c.includes("av1")) return "av1";
+  if (c.includes("265") || c.includes("hevc") || c.includes("x265")) return "hevc";
+  if (c.includes("264") || c.includes("avc") || c.includes("x264")) return "h264";
+  if (c.includes("vp9") || c.includes("libvpx")) return "vp9";
+  return "other";
+}
diff --git a/frontend/app/lib/fetchBenchmarks.ts b/frontend/app/lib/fetchBenchmarks.ts
new file mode 100644
index 0000000..2d1f77d
--- /dev/null
+++ b/frontend/app/lib/fetchBenchmarks.ts
@@ -0,0 +1,31 @@
+import { headers } from "next/headers";
+import type { Benchmark } from "./types";
+
+export async function fetchBenchmarks(): Promise<Benchmark[]> {
+  const internal = process.env.INTERNAL_API_BASE_URL;
+
+  let host = "localhost:3000";
+  let proto = "http";
+  try {
+    const h = await headers();
+    host = h.get("x-forwarded-host") || h.get("host") || "localhost:3000";
+    proto = h.get("x-forwarded-proto") || "http";
+  } catch {
+    // Headers unavailable, use defaults
+  }
+
+  const origin = `${proto}://${host}`;
+  const primaryUrl = internal ? `${internal}/query` : `${origin}/api/query`;
+  try {
+    const res = await fetch(primaryUrl, { signal: AbortSignal.timeout(10000) });
+    if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
+    return res.json();
+  } catch (err) {
+    if (internal) {
+      const res = await fetch(`${origin}/api/query`, { signal: AbortSignal.timeout(10000) });
+      if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
+      return res.json();
+    }
+    throw err;
+  }
+}
diff --git a/frontend/app/lib/fetchBenchmarksClient.ts b/frontend/app/lib/fetchBenchmarksClient.ts
new file mode 100644
index 0000000..9dca697
--- /dev/null
+++ b/frontend/app/lib/fetchBenchmarksClient.ts
@@ -0,0 +1,13 @@
+import type { Benchmark } from "./types";
+
+/** Client-side fetch with filter params, returns data + total count. Safe to use from "use client" components. */
+export async function fetchFilteredBenchmarks(
+  params: Record<string, string>,
+): Promise<{ data: Benchmark[]; total: number }> {
+  const qs = new URLSearchParams(params).toString();
+  const res = await fetch(`/api/query?${qs}`, { signal: AbortSignal.timeout(10000) });
+  if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
+  const total = Number(res.headers.get("X-Total-Count") ?? "0");
+  const data: Benchmark[] = await res.json();
+  return { data, total };
+}
diff --git a/frontend/app/lib/plScore.ts b/frontend/app/lib/plScore.ts
new file mode 100644
index 0000000..b84c0db
--- /dev/null
+++ b/frontend/app/lib/plScore.ts
@@ -0,0 +1,274 @@
+import type { Benchmark } from "./types";
+
+export type PlScoreWeights = {
+  quality: number;
+  size: number;
+  speed: number;
+};
+
+type Range = { min: number; max: number };
+
+export type PlScoreContext = {
+  sizeBaseline: number;
+  relSizeRange: Range;
+  fpsRange: Range;
+  fpsPerWattRange: Range;
+  qualityPerWattRange: Range;
+  powerRange: Range;
+  cpuSpreadRange: Range;
+  peakMemoryRange: Range;
+};
+
+export type PlScoreComponents = {
+  quality: number;
+  size: number;
+  speed: number;
+  efficiency: number;
+  reliability: number;
+  measurementConfidence: number;
+};
+
+export type PlScoreResult = PlScoreComponents & {
+  core: number;
+  total: number;
+};
+
+export const DEFAULT_PL_SCORE_WEIGHTS: PlScoreWeights = {
+  quality: 1 / 3,
+  size: 1 / 3,
+  speed: 1 / 3,
+};
+
+function clamp(value: number, min: number, max: number): number {
+  return Math.max(min, Math.min(max, value));
+}
+
+function percentile(sorted: number[], p: number): number {
+  if (sorted.length === 0) return 0;
+  if (sorted.length === 1) return sorted[0]!;
+  const pos = clamp(p, 0, 1) * (sorted.length - 1);
+  const lo = Math.floor(pos);
+  const hi = Math.ceil(pos);
+  if (lo === hi) return sorted[lo]!;
+  const t = pos - lo;
+  return sorted[lo]! * (1 - t) + sorted[hi]! * t;
+}
+
+function robustRange(values: number[], fallbackMin: number, fallbackMax: number): Range {
+  if (values.length === 0) return { min: fallbackMin, max: fallbackMax };
+  const sorted = [...values].sort((a, b) => a - b);
+  const minQ = percentile(sorted, 0.05);
+  const maxQ = percentile(sorted, 0.95);
+  if (maxQ > minQ) return { min: minQ, max: maxQ };
+  const min = sorted[0]!;
+  const max = sorted[sorted.length - 1]!;
+  if (max > min) return { min, max };
+  return { min: Math.min(min, fallbackMin), max: Math.max(max, fallbackMax) };
+}
+
+function median(values: number[]): number {
+  if (values.length === 0) return 1;
+  const sorted = [...values].sort((a, b) => a - b);
+  return percentile(sorted, 0.5);
+}
+
+function normalizeLinear(value: number, range: Range): number {
+  if (!(range.max > range.min)) return 1;
+  return clamp((value - range.min) / (range.max - range.min), 0, 1);
+}
+
+function normalizeLog(value: number, range: Range): number {
+  if (!(range.max > range.min) || range.min <= 0 || value <= 0) return 1;
+  const lv = Math.log(value);
+  const lmin = Math.log(range.min);
+  const lmax = Math.log(range.max);
+  if (!(lmax > lmin)) return 1;
+  return clamp((lv - lmin) / (lmax - lmin), 0, 1);
+}
+
+function vmafScore(vmaf: number | null | undefined): number | null {
+  if (typeof vmaf !== "number") return null;
+  const v = clamp(vmaf, 0, 100);
+  if (v >= 92) return 70 + 30 * Math.pow((v - 92) / 8, 0.58);
+  return 70 * Math.pow(v / 92, 3.2);
+}
+
+function ssimScore(ssim: number | null | undefined): number | null {
+  if (typeof ssim !== "number") return null;
+  const mapped = clamp((ssim - 0.75) / 0.25, 0, 1) * 100;
+  if (mapped >= 90) return 65 + 35 * Math.pow((mapped - 90) / 10, 0.55);
+  return 65 * Math.pow(mapped / 90, 3.0);
+}
+
+function psnrScore(psnr: number | null | undefined): number | null {
+  if (typeof psnr !== "number") return null;
+  const mapped = clamp((psnr - 24) / 28, 0, 1) * 100;
+  if (mapped >= 85) return 80 + 20 * Math.sqrt((mapped - 85) / 15);
+  return mapped * 0.94;
+}
+
+function resolveFpsPerWatt(row: Benchmark): number | null {
+  if (typeof row.fpsPerWatt === "number" && row.fpsPerWatt > 0) return row.fpsPerWatt;
+  if (typeof row.fps === "number" && row.fps > 0 && typeof row.gpuPowerAvgW === "number" && row.gpuPowerAvgW > 0) {
+    return row.fps / row.gpuPowerAvgW;
+  }
+  return null;
+}
+
+function resolveQualityPerWatt(row: Benchmark): number | null {
+  if (typeof row.qualityPerWatt === "number" && row.qualityPerWatt > 0) return row.qualityPerWatt;
+  if (typeof row.vmaf === "number" && row.vmaf > 0 && typeof row.gpuPowerAvgW === "number" && row.gpuPowerAvgW > 0) {
+    return row.vmaf / row.gpuPowerAvgW;
+  }
+  return null;
+}
+
+function resolveCpuSpread(row: Benchmark): number | null {
+  if (typeof row.cpuUtilAvg !== "number" || typeof row.cpuUtilMax !== "number") return null;
+  return Math.max(0, row.cpuUtilMax - row.cpuUtilAvg);
+}
+
+function weightedAverage(parts: Array<{ value: number | null; weight: number }>, fallback: number): number {
+  let num = 0;
+  let den = 0;
+  for (const part of parts) {
+    if (part.value == null || !Number.isFinite(part.value)) continue;
+    if (!(part.weight > 0)) continue;
+    num += part.value * part.weight;
+    den += part.weight;
+  }
+  if (!(den > 0)) return fallback;
+  return num / den;
+}
+
+export function createPlScoreContext(rows: Benchmark[]): PlScoreContext {
+  const fileSizes = rows.map((r) => r.fileSizeBytes).filter((v): v is number => typeof v === "number" && v > 0);
+  const sizeBaseline = Math.max(1, median(fileSizes));
+
+  const relSizes = rows
+    .map((r) => (r.fileSizeBytes > 0 ? r.fileSizeBytes / sizeBaseline : null))
+    .filter((v): v is number => v != null && Number.isFinite(v) && v > 0);
+  const fpsValues = rows
+    .map((r) => r.fps)
+    .filter((v): v is number => typeof v === "number" && Number.isFinite(v) && v > 0);
+  const fpsPerWattValues = rows
+    .map(resolveFpsPerWatt)
+    .filter((v): v is number => v != null && Number.isFinite(v) && v > 0);
+  const qualityPerWattValues = rows
+    .map(resolveQualityPerWatt)
+    .filter((v): v is number => v != null && Number.isFinite(v) && v > 0);
+  const powerValues = rows
+    .map((r) => r.gpuPowerAvgW)
+    .filter((v): v is number => typeof v === "number" && Number.isFinite(v) && v > 0);
+  const cpuSpreadValues = rows
+    .map(resolveCpuSpread)
+    .filter((v): v is number => v != null && Number.isFinite(v));
+  const peakMemoryValues = rows
+    .map((r) => r.peakMemoryMB)
+    .filter((v): v is number => typeof v === "number" && Number.isFinite(v) && v > 0);
+
+  return {
+    sizeBaseline,
+    relSizeRange: robustRange(relSizes, 0.6, 1.8),
+    fpsRange: robustRange(fpsValues, 8, 220),
+    fpsPerWattRange: robustRange(fpsPerWattValues, 0.1, 2.8),
+    qualityPerWattRange: robustRange(qualityPerWattValues, 0.1, 1.2),
+    powerRange: robustRange(powerValues, 35, 320),
+    cpuSpreadRange: robustRange(cpuSpreadValues, 1, 35),
+    peakMemoryRange: robustRange(peakMemoryValues, 700, 16_000),
+  };
+}
+
+export function computePlScoreComponentsV6(row: Benchmark, context: PlScoreContext): PlScoreComponents {
+  const qualityParts: Array<{ value: number | null; weight: number }> = [
+    { value: vmafScore(row.vmaf), weight: 0.55 },
+    { value: ssimScore(row.ssim), weight: 0.30 },
+    { value: psnrScore(row.psnr), weight: 0.15 },
+  ];
+  const rawQuality = weightedAverage(qualityParts, 60);
+  const confidence = clamp(
+    qualityParts
+      .filter((p) => p.value != null)
+      .reduce((acc, p) => acc + p.weight, 0),
+    0,
+    1,
+  );
+  const quality = clamp(rawQuality * (0.88 + 0.12 * confidence), 0, 100);
+
+  const relSize = row.fileSizeBytes > 0 ? row.fileSizeBytes / context.sizeBaseline : context.relSizeRange.max;
+  const size = clamp(100 * (1 - normalizeLog(relSize, context.relSizeRange)), 0, 100);
+  const speed = clamp(100 * normalizeLog(Math.max(0.001, row.fps || 0), context.fpsRange), 0, 100);
+
+  const fpsPerWatt = resolveFpsPerWatt(row);
+  const qualityPerWatt = resolveQualityPerWatt(row);
+  const gpuUtil = typeof row.gpuUtilAvg === "number" ? clamp(row.gpuUtilAvg, 0, 100) : null;
+  const utilScore = gpuUtil == null ? null : clamp(100 - Math.abs(gpuUtil - 82) * 2.1, 0, 100);
+  const powerScore =
+    typeof row.gpuPowerAvgW === "number" && row.gpuPowerAvgW > 0
+      ? clamp(100 * (1 - normalizeLog(row.gpuPowerAvgW, context.powerRange)), 0, 100)
+      : null;
+
+  const efficiency = clamp(
+    weightedAverage(
+      [
+        { value: fpsPerWatt == null ? null : 100 * normalizeLog(fpsPerWatt, context.fpsPerWattRange), weight: 0.40 },
+        { value: qualityPerWatt == null ? null : 100 * normalizeLog(qualityPerWatt, context.qualityPerWattRange), weight: 0.30 },
+        { value: powerScore, weight: 0.20 },
+        { value: utilScore, weight: 0.10 },
+      ],
+      50,
+    ),
+    0,
+    100,
+  );
+
+  const cpuSpread = resolveCpuSpread(row);
+  const cpuSpreadScore = cpuSpread == null ? null : clamp(100 * (1 - normalizeLinear(cpuSpread, context.cpuSpreadRange)), 0, 100);
+  const memoryScore =
+    typeof row.peakMemoryMB === "number" && row.peakMemoryMB > 0
+      ? clamp(100 * (1 - normalizeLog(row.peakMemoryMB, context.peakMemoryRange)), 0, 100)
+      : null;
+  const cpuAvgScore =
+    typeof row.cpuUtilAvg === "number"
+      ? clamp(100 - Math.max(0, row.cpuUtilAvg - 82) * 2.2, 30, 100)
+      : null;
+  let reliability = weightedAverage(
+    [
+      { value: cpuSpreadScore, weight: 0.45 },
+      { value: memoryScore, weight: 0.30 },
+      { value: cpuAvgScore, weight: 0.25 },
+    ],
+    68,
+  );
+  if (row.thermalThrottle === true) reliability -= 22;
+  reliability = clamp(reliability, 0, 100);
+
+  return {
+    quality,
+    size,
+    speed,
+    efficiency,
+    reliability,
+    measurementConfidence: confidence,
+  };
+}
+
+export function scorePlBenchmarkV6(
+  row: Benchmark,
+  context: PlScoreContext,
+  weights: PlScoreWeights = DEFAULT_PL_SCORE_WEIGHTS,
+): PlScoreResult {
+  const components = computePlScoreComponentsV6(row, context);
+  const wSum = Math.max(0.0001, weights.quality + weights.size + weights.speed);
+  const wq = weights.quality / wSum;
+  const ws = weights.size / wSum;
+  const wv = weights.speed / wSum;
+  const core = clamp(wq * components.quality + ws * components.size + wv * components.speed, 0, 100);
+  const confidenceAdj = (components.measurementConfidence - 0.7) * 6;
+  const total = clamp(core * 0.78 + components.efficiency * 0.14 + components.reliability * 0.08 + confidenceAdj, 0, 100);
+  return {
+    ...components,
+    core,
+    total,
+  };
+}
diff --git a/frontend/app/lib/types.ts b/frontend/app/lib/types.ts
new file mode 100644
index 0000000..959a2c1
--- /dev/null
+++ b/frontend/app/lib/types.ts
@@ -0,0 +1,40 @@
+/** Shared Benchmark type for server and client. */
+export type Benchmark = {
+  id: string;
+  createdAt: string;
+  cpuModel: string;
+  gpuModel: string | null;
+  ramGB: number;
+  os: string;
+  codec: string;
+  crf?: number | null;
+  preset: string;
+  fps: number;
+  vmaf: number | null;
+  ssim: number | null;
+  psnr: number | null;
+  fileSizeBytes: number;
+  notes: string | null;
+  ffmpegVersion?: string | null;
+  encoderName?: string | null;
+  clientVersion?: string | null;
+  inputHash?: string | null;
+  runMs?: number | null;
+  status?: string | null;
+  samples?: number;
+  vmafSamples?: number;
+  ssimSamples?: number;
+  psnrSamples?: number;
+  contentClass?: string | null;
+  resolution?: string | null;
+  passes?: number | null;
+  gpuUtilAvg?: number | null;
+  gpuPowerAvgW?: number | null;
+  gpuMemPeakMB?: number | null;
+  cpuUtilAvg?: number | null;
+  cpuUtilMax?: number | null;
+  peakMemoryMB?: number | null;
+  thermalThrottle?: boolean | null;
+  fpsPerWatt?: number | null;
+  qualityPerWatt?: number | null;
+};
diff --git a/frontend/app/lib/useChartTheme.ts b/frontend/app/lib/useChartTheme.ts
new file mode 100644
index 0000000..a1f0959
--- /dev/null
+++ b/frontend/app/lib/useChartTheme.ts
@@ -0,0 +1,53 @@
+"use client";
+import { useEffect, useState } from "react";
+
+export type ChartTheme = {
+  fg: string;
+  surface: string;
+  border: string;
+  muted: string;
+  accent: string;
+};
+
+const DEFAULTS: ChartTheme = {
+  fg: "#173B34",
+  surface: "#ffffff",
+  border: "#CDDBCD",
+  muted: "#6b7a6e",
+  accent: "#6C8FD5",
+};
+
+function readTheme(): ChartTheme {
+  if (typeof window === "undefined") return DEFAULTS;
+  const s = getComputedStyle(document.documentElement);
+  const g = (v: string) => s.getPropertyValue(v).trim();
+  return {
+    fg: g("--foreground") || DEFAULTS.fg,
+    surface: g("--surface") || DEFAULTS.surface,
+    border: g("--border") || DEFAULTS.border,
+    muted: g("--muted") || DEFAULTS.muted,
+    accent: g("--accent") || DEFAULTS.accent,
+  };
+}
+
+export function useChartTheme(): ChartTheme {
+  // Lazy initializer avoids light-theme flash on dark-mode first paint
+  const [theme, setTheme] = useState<ChartTheme>(() =>
+    typeof window !== "undefined" ? readTheme() : DEFAULTS,
+  );
+  useEffect(() => {
+    setTheme(readTheme());
+    const mq = window.matchMedia("(prefers-color-scheme: dark)");
+    // Re-read after the CSS transition settles
+    const handler = () => setTimeout(() => setTheme(readTheme()), 50);
+    mq.addEventListener("change", handler);
+    // Also watch data-theme attribute changes
+    const mo = new MutationObserver(handler);
+    mo.observe(document.documentElement, { attributes: true, attributeFilter: ["data-theme"] });
+    return () => {
+      mq.removeEventListener("change", handler);
+      mo.disconnect();
+    };
+  }, []);
+  return theme;
+}
diff --git a/frontend/app/page.module.css b/frontend/app/page.module.css
index 7c410aa..23723f1 100644
--- a/frontend/app/page.module.css
+++ b/frontend/app/page.module.css
@@ -1,18 +1,21 @@
 .container {
-  padding: 24px;
-  max-width: 1200px;
+  padding: 28px 24px 40px;
+  max-width: 1360px;
   margin: 0 auto;
 }
 
 .heading {
-  font-size: 24px;
-  font-weight: 600;
-  margin-bottom: 8px;
+  font-size: clamp(1.5rem, 2.4vw, 2.15rem);
+  font-weight: 700;
+  margin-bottom: 10px;
+  letter-spacing: 0.02em;
+  text-transform: uppercase;
 }
 
 .sourceLink {
-  margin-bottom: 16px;
+  margin-bottom: 18px;
   color: var(--muted);
+  font-size: 0.95rem;
 }
 
 .sourceLinkAnchor {
@@ -20,17 +23,20 @@
 }
 
 .clientCard {
-  padding: 16px;
-  margin-bottom: 16px;
+  padding: 18px;
+  margin-bottom: 18px;
   display: flex;
   align-items: center;
   justify-content: space-between;
-  gap: 12px;
+  gap: 14px;
+  border-width: 2px;
 }
 
 .clientCardTitle {
-  font-weight: 600;
+  font-weight: 700;
   margin-bottom: 4px;
+  text-transform: uppercase;
+  letter-spacing: 0.04em;
 }
 
 .clientCardDesc {
@@ -38,7 +44,8 @@
 }
 
 .releasesBtn {
-  padding: 8px 12px;
+  padding: 10px 13px;
+  font-weight: 600;
 }
 
 .errorBox {
@@ -49,15 +56,29 @@
 }
 
 .aboutCard {
-  margin-top: 16px;
-  padding: 16px;
+  margin-top: 18px;
+  padding: 18px;
 }
 
 .aboutTitle {
-  font-weight: 600;
+  font-weight: 700;
   margin-bottom: 6px;
+  letter-spacing: 0.03em;
+  text-transform: uppercase;
 }
 
 .aboutDesc {
-  font-size: 13px;
+  font-size: 0.9rem;
+  line-height: 1.45;
+}
+
+@media (max-width: 768px) {
+  .container {
+    padding: 20px 12px 28px;
+  }
+
+  .clientCard {
+    flex-direction: column;
+    align-items: flex-start;
+  }
 }
diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx
index 98b01a6..b1d6774 100644
--- a/frontend/app/page.tsx
+++ b/frontend/app/page.tsx
@@ -2,43 +2,11 @@ import { Suspense } from "react";
 import BenchmarksTable, { Benchmark } from "./components/BenchmarksTable";
 import ErrorBoundary from "./components/ErrorBoundary";
 import StatsCards from "./components/StatsCards";
-import { headers } from "next/headers";
+import { fetchBenchmarks } from "./lib/fetchBenchmarks";
 import styles from "./page.module.css";
 
 export const dynamic = "force-dynamic";
 
-async function fetchBenchmarks(): Promise<Benchmark[]> {
-  // Prefer INTERNAL_API_BASE_URL when set; otherwise fall back to local mock API route
-  const internal = process.env.INTERNAL_API_BASE_URL;
-
-  // Safely get headers with fallback defaults
-  let host = "localhost:3000";
-  let proto = "http";
-  try {
-    const h = await headers();
-    host = h.get("x-forwarded-host") || h.get("host") || "localhost:3000";
-    proto = h.get("x-forwarded-proto") || "http";
-  } catch {
-    // Headers unavailable, use defaults
-  }
-
-  const origin = `${proto}://${host}`;
-  const primaryUrl = internal ? `${internal}/query` : `${origin}/api/query`;
-  try {
-    const res = await fetch(primaryUrl, { signal: AbortSignal.timeout(10000) });
-    if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-    return res.json();
-  } catch (err) {
-    if (internal) {
-      // Fallback to mock when server is unavailable
-      const res = await fetch(`${origin}/api/query`, { signal: AbortSignal.timeout(10000) });
-      if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-      return res.json();
-    }
-    throw err;
-  }
-}
-
 export default async function Home() {
   let data: Benchmark[] = [];
   let error: string | null = null;
diff --git a/frontend/app/plove/page.tsx b/frontend/app/plove/page.tsx
index 1b41a15..bc1b9cb 100644
--- a/frontend/app/plove/page.tsx
+++ b/frontend/app/plove/page.tsx
@@ -1,68 +1,61 @@
 import styles from "./plove.module.css";
 
+// Static page — no data fetching, renders at build time (F-08)
+export const dynamic = "force-static";
+
 export default function PlovePage() {
   return (
     <div className={styles.container}>
-      <h1 className={styles.heading}>PLOVE Score</h1>
+      <h1 className={styles.heading}>PL Score v6.0</h1>
       <p className={`subtle ${styles.intro}`}>
-        PLOVE (Platinum Labs Objective Video Evaluation) is a single, tunable score that balances visual quality, output size, and encode speed to make row-to-row comparisons easy.
+        PL Score (Platinum Labs) is a weighted ranking system for encoder runs. Version 6.0 expands beyond quality/size/speed to include efficiency and runtime reliability from hardware telemetry.
       </p>
 
       <section className={`card ${styles.section}`}>
         <h2 className={styles.sectionTitle}>How it&apos;s calculated</h2>
         <p className={styles.sectionDesc}>
-          Each component is normalized to a 0&ndash;100 range within the currently filtered dataset, then combined with user-adjustable weights that sum to 1.00.
+          Scores are normalized inside the current filtered dataset, which keeps comparisons relevant to the rows you are actually viewing.
         </p>
         <ul className={styles.list}>
-          <li><b>Quality</b>: uses VMAF (0&ndash;100), normalized upward. Higher VMAF &rarr; higher score.</li>
-          <li><b>Size</b>: uses output file size, normalized downward. Smaller size &rarr; higher score.</li>
-          <li><b>Speed</b>: uses FPS, normalized upward. Faster encodes &rarr; higher score.</li>
+          <li><b>Core (user-tunable)</b>: Quality + Size + Speed, where your sliders set relative importance.</li>
+          <li><b>Quality</b>: weighted blend of VMAF, SSIM, and PSNR with non-linear curves that reward strong quality and penalize weak outliers.</li>
+          <li><b>Efficiency</b>: FPS/Watt, Quality/Watt, GPU power draw, and utilization behavior.</li>
+          <li><b>Reliability</b>: CPU utilization spread, peak memory, and thermal throttling penalties.</li>
         </ul>
-        <pre className={`kbd ${styles.codeBlock}`}><code>{`// PLOVE 4.0 component scores
-// Quality (VMAF) with diminishing returns above 90 and harsh penalty below 90
-function qualityScore(vmaf) {
-  if (vmaf == null) return 100
-  if (vmaf >= 90) return 50 + 50 * Math.sqrt((vmaf - 90) / 10)
-  return 50 * Math.pow(vmaf / 90, 4)
-}
-
-// Relative size (fileSize / medianFileSize) — lower is better
-function sizeScore(relSize, rsMin, rsMax) {
-  if (!(rsMax > rsMin)) return 100
-  return 100 * (rsMax - relSize) / (rsMax - rsMin)
-}
-
-// Speed uses logarithmic normalization
-function speedScore(fps, fpsMin, fpsMax) {
-  if (!(fpsMin > 0 && fpsMax > 0)) return 0
-  if (fpsMax === fpsMin) return 100
-  const lf = Math.log(Math.max(fps, fpsMin))
-  return 100 * (lf - Math.log(fpsMin)) / (Math.log(fpsMax) - Math.log(fpsMin))
+        <pre className={`kbd ${styles.codeBlock}`}><code>{`// PL Score v6.0 (simplified)
+components = {
+  quality: f(vmaf, ssim, psnr),
+  size: inverseNormLog(fileSize / medianFileSize),
+  speed: normLog(fps),
+  efficiency: f(fpsPerWatt, qualityPerWatt, gpuPower, gpuUtil),
+  reliability: f(cpuUtilSpread, peakMemory, thermalThrottle),
 }
 
-// Hard cutoff for inefficient encodes
-if (relSize >= 1.0) plove = 0
-else plove = clamp(wQ*qualityScore(vmaf) + wS*sizeScore(relSize, rsMin, rsMax) + wV*speedScore(fps, fpsMin, fpsMax), 0, 100)`}</code></pre>
+core = normalize(wQ, wS, wV) · [quality, size, speed]
+plScore = clamp(
+  core*0.78 + efficiency*0.14 + reliability*0.08 + confidenceAdjustment,
+  0, 100
+)`}</code></pre>
         <p className={`subtle ${styles.footnote}`}>
-          When a range collapses (e.g., all rows have identical values), that component defaults to 100 to avoid skewing results. PLOVE also applies strong penalties to oversized outputs (relative size &gt; 1.0) and to VMAF below 90.
+          The same encoder can score differently under different filters, because normalization is contextual to the visible cohort.
         </p>
       </section>
 
       <section className={`card ${styles.section}`}>
         <h2 className={styles.sectionTitle}>Why we use it</h2>
         <ul className={styles.listNoMargin}>
-          <li><b>Balanced view</b>: captures the core trade&#x2011;offs between quality, size, and speed.</li>
-          <li><b>Dataset&#x2011;relative</b>: normalization adapts to the current filter set for meaningful comparisons.</li>
-          <li><b>Configurable</b>: adjust weights to reflect your priorities for a given task.</li>
+          <li><b>Production-minded</b>: factors in efficiency and thermal/runtime stability, not just pure throughput.</li>
+          <li><b>Actionable</b>: reveals which rows are fast but power-hungry vs. balanced and reliable.</li>
+          <li><b>Configurable core</b>: quality/size/speed priorities remain user-controlled.</li>
         </ul>
       </section>
 
       <section className={`card ${styles.section}`}>
         <h2 className={styles.sectionTitle}>Notes &amp; limitations</h2>
         <ul className={styles.listNoMargin}>
-          <li>VMAF is an automated metric; subjective quality may differ.</li>
+          <li>Automated quality metrics can disagree with human perception on edge content.</li>
           <li>Normalization is relative to visible rows; changing filters can change scores.</li>
-          <li>PLOVE is a convenience score, not an industry standard benchmark.</li>
+          <li>PL Score is a ranking aid, not a replacement for detailed metric review.</li>
         </ul>
       </section>
     </div>
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index be0703a..2155303 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -8,6 +8,8 @@
       "name": "frontend",
       "version": "0.1.0",
       "dependencies": {
+        "@tanstack/react-virtual": "^3.13.18",
+        "echarts": "^6.0.0",
         "next": "^15.5.12",
         "react": "19.1.0",
         "react-dom": "19.1.0"
@@ -904,6 +906,33 @@
         "tslib": "^2.8.0"
       }
     },
+    "node_modules/@tanstack/react-virtual": {
+      "version": "3.13.18",
+      "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.13.18.tgz",
+      "integrity": "sha512-dZkhyfahpvlaV0rIKnvQiVoWPyURppl6w4m9IwMDpuIjcJ1sD9YGWrt0wISvgU7ewACXx2Ct46WPgI6qAD4v6A==",
+      "license": "MIT",
+      "dependencies": {
+        "@tanstack/virtual-core": "3.13.18"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      },
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0",
+        "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0"
+      }
+    },
+    "node_modules/@tanstack/virtual-core": {
+      "version": "3.13.18",
+      "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.13.18.tgz",
+      "integrity": "sha512-Mx86Hqu1k39icq2Zusq+Ey2J6dDWTjDvEv43PJtRCoEYTLyfaPnxIQ6iy7YAOK0NV/qOEmZQ/uCufrppZxTgcg==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/tannerlinsley"
+      }
+    },
     "node_modules/@tybys/wasm-util": {
       "version": "0.10.1",
       "resolved": "https://registry.npmjs.org/@tybys/wasm-util/-/wasm-util-0.10.1.tgz",
@@ -2152,6 +2181,22 @@
         "node": ">= 0.4"
       }
     },
+    "node_modules/echarts": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/echarts/-/echarts-6.0.0.tgz",
+      "integrity": "sha512-Tte/grDQRiETQP4xz3iZWSvoHrkCQtwqd6hs+mifXcjrCuo2iKWbajFObuLJVBlDIJlOzgQPd1hsaKt/3+OMkQ==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "tslib": "2.3.0",
+        "zrender": "6.0.0"
+      }
+    },
+    "node_modules/echarts/node_modules/tslib": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.3.0.tgz",
+      "integrity": "sha512-N82ooyxVNm6h1riLCoyS9e3fuJ3AMG2zIZs2Gd1ATcSFjSA23Q0fzjjZeh0jbJvWVDZ0cJT8yaNNaaXHzueNjg==",
+      "license": "0BSD"
+    },
     "node_modules/emoji-regex": {
       "version": "9.2.2",
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
@@ -5352,6 +5397,21 @@
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
+    },
+    "node_modules/zrender": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/zrender/-/zrender-6.0.0.tgz",
+      "integrity": "sha512-41dFXEEXuJpNecuUQq6JlbybmnHaqqpGlbH1yxnA5V9MMP4SbohSVZsJIwz+zdjQXSSlR1Vc34EgH1zxyTDvhg==",
+      "license": "BSD-3-Clause",
+      "dependencies": {
+        "tslib": "2.3.0"
+      }
+    },
+    "node_modules/zrender/node_modules/tslib": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.3.0.tgz",
+      "integrity": "sha512-N82ooyxVNm6h1riLCoyS9e3fuJ3AMG2zIZs2Gd1ATcSFjSA23Q0fzjjZeh0jbJvWVDZ0cJT8yaNNaaXHzueNjg==",
+      "license": "0BSD"
     }
   }
 }
diff --git a/frontend/package.json b/frontend/package.json
index 7a55a4d..35cd599 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -9,6 +9,8 @@
     "lint": "eslint"
   },
   "dependencies": {
+    "@tanstack/react-virtual": "^3.13.18",
+    "echarts": "^6.0.0",
     "next": "^15.5.12",
     "react": "19.1.0",
     "react-dom": "19.1.0"
diff --git a/nginx/conf.d/default.conf b/nginx/conf.d/default.conf
index 6f2579c..3a3f392 100644
--- a/nginx/conf.d/default.conf
+++ b/nginx/conf.d/default.conf
@@ -42,23 +42,6 @@ server {
         add_header Permissions-Policy "geolocation=(), microphone=(), camera=()" always;
     }
 
-    # Admin API (lock down with Cloudflare or static allowlist)
-    location ^~ /admin/ {
-        # Example IP allowlist (replace with your IP or Cloudflare Zero Trust)
-        # allow 203.0.113.10;
-        # deny all;
-        proxy_pass http://server:3001/admin/;
-        proxy_http_version 1.1;
-        proxy_set_header Connection "";
-        proxy_connect_timeout 30s;
-        proxy_send_timeout 30s;
-        proxy_read_timeout 30s;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $client_proto;
-    }
-
     # Exact match for submit-token to avoid any routing ambiguity
     location = /submit-token {
         proxy_pass http://server:3001/submit-token;
@@ -155,23 +138,6 @@ server {
         proxy_set_header X-Forwarded-Proto $client_proto;
     }
 
-    # Admin API (lock down with Cloudflare or static allowlist)
-    location ^~ /admin/ {
-        # Example IP allowlist (replace with your IP or Cloudflare Zero Trust)
-        # allow 203.0.113.10;
-        # deny all;
-        proxy_pass http://server:3001/admin/;
-        proxy_http_version 1.1;
-        proxy_set_header Connection "";
-        proxy_connect_timeout 30s;
-        proxy_send_timeout 30s;
-        proxy_read_timeout 30s;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-
     # Exact match for submit-token to avoid any routing ambiguity
     location = /submit-token {
         proxy_pass http://server:3001/submit-token;
@@ -220,4 +186,3 @@ server {
         proxy_set_header X-Forwarded-Proto $scheme;
     }
 }
-
diff --git a/scripts/e2e.sh b/scripts/e2e.sh
index cbde100..137ffb6 100755
--- a/scripts/e2e.sh
+++ b/scripts/e2e.sh
@@ -1,50 +1,75 @@
 #!/usr/bin/env bash
 set -euo pipefail
 
-ROOT_DIR="/Users/ofhd/Developer/Encoding_Database"
-SERVER_DIR="$ROOT_DIR/server"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
 CLIENT_DIR="$ROOT_DIR/client"
-SAMPLE_VIDEO="$ROOT_DIR/sample.mp4"
-PORT="3001"
+PORT="${PORT:-3001}"
+BASE_URL="http://127.0.0.1:${PORT}"
+LOCAL_TEST_LOG="$SCRIPT_DIR/.e2e_local_test.log"
+CLIENT_LOG="$SCRIPT_DIR/.e2e_client.log"
 
-echo "[e2e] Using ROOT_DIR=$ROOT_DIR"
+NO_SUBMIT=0
+SEED_COUNT="${SEED_DUMMY_BENCHMARKS_COUNT:-480}"
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --no-submit) NO_SUBMIT=1; shift ;;
+    -h|--help)
+      echo "Usage: $0 [--no-submit]"
+      echo "  --no-submit   Run client smoke test without submitting to API."
+      echo ""
+      echo "Env:"
+      echo "  PORT                          Backend port (default: 3001)"
+      echo "  SEED_DUMMY_BENCHMARKS_COUNT   Local dummy rows for local_test (default: 480)"
+      exit 0
+      ;;
+    *) echo "Unknown option: $1" >&2; exit 2 ;;
+  esac
+done
+
+echo "[e2e] ROOT_DIR=$ROOT_DIR"
+echo "[e2e] BASE_URL=$BASE_URL"
 
+LOCAL_TEST_PID=""
 cleanup() {
-  if [[ -n "${SERVER_PID:-}" ]]; then
-    echo "[e2e] Stopping server (PID $SERVER_PID)"
-    kill "$SERVER_PID" >/dev/null 2>&1 || true
-    wait "$SERVER_PID" >/dev/null 2>&1 || true
+  if [[ -n "$LOCAL_TEST_PID" ]] && kill -0 "$LOCAL_TEST_PID" >/dev/null 2>&1; then
+    echo "[e2e] Stopping local_test stack (PID $LOCAL_TEST_PID)"
+    kill "$LOCAL_TEST_PID" >/dev/null 2>&1 || true
+    wait "$LOCAL_TEST_PID" >/dev/null 2>&1 || true
   fi
 }
 trap cleanup EXIT
 
-echo "[e2e] Preparing server"
-cd "$SERVER_DIR"
-export DATABASE_URL="file:./dev.db"
-npx prisma migrate deploy >/dev/null
-npx prisma generate >/dev/null
-
-echo "[e2e] Starting server on port $PORT"
-PORT="$PORT" DATABASE_URL="$DATABASE_URL" npx tsx src/index.ts >/dev/null 2>&1 &
-SERVER_PID=$!
-sleep 0.5
-
-echo "[e2e] Waiting for server readiness"
-ATTEMPTS=0
-until curl -sS "http://localhost:$PORT/health" >/dev/null; do
-  ATTEMPTS=$((ATTEMPTS+1))
-  if [[ $ATTEMPTS -gt 60 ]]; then
-    echo "[e2e] Server failed to become healthy in time" >&2
+echo "[e2e] Starting local stack via scripts/local_test.sh"
+: > "$LOCAL_TEST_LOG"
+(
+  cd "$ROOT_DIR"
+  SEED_DUMMY_BENCHMARKS=1 \
+  SEED_DUMMY_BENCHMARKS_COUNT="$SEED_COUNT" \
+  PORT="$PORT" \
+  ./scripts/local_test.sh --no-frontend --no-client-check
+) >> "$LOCAL_TEST_LOG" 2>&1 &
+LOCAL_TEST_PID=$!
+
+echo "[e2e] Waiting for /health/ready"
+for i in {1..120}; do
+  if ! kill -0 "$LOCAL_TEST_PID" >/dev/null 2>&1; then
+    echo "[e2e] local_test.sh exited unexpectedly. Last 80 lines:" >&2
+    tail -n 80 "$LOCAL_TEST_LOG" >&2 || true
     exit 1
   fi
-  sleep 0.5
+  code="$(curl -s -o /dev/null -w '%{http_code}' "$BASE_URL/health/ready" || true)"
+  if [[ "$code" == "200" ]]; then
+    echo "[e2e] Backend is ready"
+    break
+  fi
+  if [[ "$i" -eq 120 ]]; then
+    echo "[e2e] Timed out waiting for backend readiness (last code=$code)." >&2
+    tail -n 80 "$LOCAL_TEST_LOG" >&2 || true
+    exit 1
+  fi
+  sleep 1
 done
-echo "[e2e] Server is healthy"
-
-echo "[e2e] Ensuring sample video at $SAMPLE_VIDEO"
-if [[ ! -f "$SAMPLE_VIDEO" ]]; then
-  ffmpeg -y -f lavfi -i testsrc=size=1280x720:rate=30 -t 5 "$SAMPLE_VIDEO" >/dev/null 2>&1
-fi
 
 echo "[e2e] Preparing Python client venv"
 cd "$CLIENT_DIR"
@@ -53,11 +78,34 @@ source .venv/bin/activate
 pip install --upgrade pip >/dev/null
 pip install -r requirements.txt >/dev/null
 
-echo "[e2e] Running client benchmark and submissions"
-BACKEND_URL="http://localhost:$PORT" python3 main.py "$SAMPLE_VIDEO" >/dev/null
+echo "[e2e] Running automated client menu flow (single benchmark)"
+: > "$CLIENT_LOG"
+CLIENT_CMD=(python3 main.py --base-url "$BASE_URL")
+if [[ "$NO_SUBMIT" -eq 1 ]]; then
+  CLIENT_CMD+=(--no-submit)
+fi
 
-echo "[e2e] Verifying API results"
-curl -sS "http://localhost:$PORT/query" | head -c 500 && echo
+# Menu automation:
+# 1) Run Single Benchmark
+# 2) encoder: default
+# 3) CRF: default
+# 4) preset: default
+printf '1\n\n\n\n' | "${CLIENT_CMD[@]}" | tee "$CLIENT_LOG"
 
-echo "[e2e] DONE"
+if [[ "$NO_SUBMIT" -eq 0 ]]; then
+  if ! grep -q "Submitted Results" "$CLIENT_LOG"; then
+    echo "[e2e] Client run did not report a successful submission." >&2
+    tail -n 120 "$CLIENT_LOG" >&2 || true
+    exit 1
+  fi
+fi
+
+echo "[e2e] Verifying API query endpoint"
+code_query="$(curl -s -o /dev/null -w '%{http_code}' "$BASE_URL/query")"
+if [[ "$code_query" != "200" ]]; then
+  echo "[e2e] /query returned HTTP $code_query" >&2
+  exit 1
+fi
+curl -s "$BASE_URL/query?limit=3" | head -c 600 && echo
 
+echo "[e2e] PASS"
diff --git a/scripts/local_test.sh b/scripts/local_test.sh
new file mode 100755
index 0000000..8b7977b
--- /dev/null
+++ b/scripts/local_test.sh
@@ -0,0 +1,253 @@
+#!/usr/bin/env bash
+# Local testing script: spin up DB, server, and frontend with verbose logging.
+# Similar to redploy.sh but for local development (no git pull, no prod compose).
+# Usage: ./scripts/local_test.sh [--no-frontend] [--no-client-check] [--keep]
+# Env: LOCAL_TEST_DATABASE defaults to benchmarks_test so migrations run against a
+#      clean DB (avoids "failed migration" state in your main benchmarks DB).
+#      Set LOCAL_TEST_DATABASE=benchmarks to use the main DB instead.
+#      SEED_DUMMY_BENCHMARKS defaults to 1 here so local testing has sample data.
+#      SEED_DUMMY_BENCHMARKS_COUNT controls row count (default: 480).
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
+LOG_DIR="${LOG_DIR:-$SCRIPT_DIR}"
+SERVER_LOG="$LOG_DIR/.local_test_server.log"
+FRONTEND_LOG="$LOG_DIR/.local_test_frontend.log"
+COMPOSE_FILE="${COMPOSE_FILE:-docker-compose.yml}"
+SERVER_PORT="${PORT:-3001}"
+FRONTEND_PORT="${FRONTEND_PORT:-3000}"
+PG_USER="${POSTGRES_USER:-app}"
+PG_PASS="${POSTGRES_PASSWORD:-app}"
+# Default to a separate DB so we never touch a production/failed-migration state
+DB_NAME="${LOCAL_TEST_DATABASE:-benchmarks_test}"
+DATABASE_URL_LOCAL="postgresql://${PG_USER}:${PG_PASS}@127.0.0.1:5432/${DB_NAME}?schema=public"
+SEED_DUMMY_BENCHMARKS="${SEED_DUMMY_BENCHMARKS:-1}"
+SEED_DUMMY_BENCHMARKS_COUNT="${SEED_DUMMY_BENCHMARKS_COUNT:-480}"
+
+# --- Options ---
+NO_FRONTEND=0
+NO_CLIENT_CHECK=0
+KEEP_DB=0
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --no-frontend) NO_FRONTEND=1; shift ;;
+    --no-client-check) NO_CLIENT_CHECK=1; shift ;;
+    --keep) KEEP_DB=1; shift ;;
+    -h|--help)
+      echo "Usage: $0 [--no-frontend] [--no-client-check] [--keep]"
+      echo "  --no-frontend     Only start DB and server (no Next.js frontend)."
+      echo "  --no-client-check Skip final health/query checks."
+      echo "  --keep            Do not stop DB on exit (docker compose down skipped)."
+      echo ""
+      echo "Env: LOCAL_TEST_DATABASE  Database name (default: benchmarks_test). Use a separate"
+      echo "     DB so migrations always run clean. Set to 'benchmarks' to use the main DB."
+      echo "     SEED_DUMMY_BENCHMARKS       Seed synthetic benchmark rows after migration"
+      echo "                                 (default: 1 for local test only)."
+      echo "     SEED_DUMMY_BENCHMARKS_COUNT Number of synthetic rows to insert (default: 480)."
+      exit 0
+      ;;
+    *) echo "Unknown option: $1" >&2; exit 2 ;;
+  esac
+done
+
+# --- Logging helpers ---
+log()   { echo "[local_test] $*"; }
+logerr() { echo "[local_test] ERROR: $*" >&2; echo "[local_test] ERROR: $*" >> "$SERVER_LOG" 2>/dev/null; }
+die()   { logerr "$1"; exit "${2:-1}"; }
+run()   { log "Running: $*"; "$@" || die "Command failed: $*"; }
+
+# --- Cleanup on exit ---
+SERVER_PID=""
+FRONTEND_PID=""
+cleanup() {
+  log "Shutting down..."
+  if [[ -n "$SERVER_PID" ]] && kill -0 "$SERVER_PID" 2>/dev/null; then
+    log "Stopping server (PID $SERVER_PID)"
+    kill "$SERVER_PID" 2>/dev/null || true
+    wait "$SERVER_PID" 2>/dev/null || true
+  fi
+  if [[ -n "$FRONTEND_PID" ]] && kill -0 "$FRONTEND_PID" 2>/dev/null; then
+    log "Stopping frontend (PID $FRONTEND_PID)"
+    kill "$FRONTEND_PID" 2>/dev/null || true
+    wait "$FRONTEND_PID" 2>/dev/null || true
+  fi
+  if [[ "$KEEP_DB" -ne 1 ]]; then
+    log "Stopping database (docker compose down)"
+    (cd "$ROOT_DIR" && docker compose -f "$COMPOSE_FILE" down) 2>/dev/null || true
+  else
+    log "Keeping database up (--keep). Stop with: cd $ROOT_DIR && docker compose down"
+  fi
+  log "Done."
+}
+trap cleanup EXIT
+
+# --- Ensure we're in repo root and have required tools ---
+cd "$ROOT_DIR"
+log "Repo root: $ROOT_DIR"
+log "Logs: server=$SERVER_LOG frontend=$FRONTEND_LOG"
+
+for cmd in docker node npm; do
+  command -v "$cmd" >/dev/null 2>&1 || die "Missing required command: $cmd"
+done
+
+# --- Ensure server .env for local run ---
+SERVER_ENV="$ROOT_DIR/server/.env"
+mkdir -p "$(dirname "$SERVER_ENV")"
+if [[ ! -f "$SERVER_ENV" ]] || ! grep -q "DATABASE_URL" "$SERVER_ENV" 2>/dev/null; then
+  log "Writing server/.env for local testing (DATABASE_URL, NODE_ENV, CORS_ORIGIN)"
+  cat > "$SERVER_ENV" <<EOF
+# Auto-generated for local_test.sh — do not commit secrets
+DATABASE_URL=$DATABASE_URL_LOCAL
+NODE_ENV=development
+PORT=$SERVER_PORT
+CORS_ORIGIN=*
+BODY_LIMIT=1mb
+RATE_LIMIT_WINDOW_MS=60000
+RATE_LIMIT_MAX=300
+SUBMIT_RATE_WINDOW_MS=60000
+SUBMIT_RATE_MAX=30
+EOF
+else
+  log "Using existing server/.env (ensure DATABASE_URL points to local Postgres for this script)"
+  export DATABASE_URL="${DATABASE_URL:-$DATABASE_URL_LOCAL}"
+fi
+
+# --- Start Postgres (no warnings: orphan/docker output suppressed) ---
+log "Starting database..."
+docker compose -f "$COMPOSE_FILE" up -d db >/dev/null 2>&1 || die "docker compose up -d db failed"
+
+log "Waiting for Postgres..."
+for i in {1..40}; do
+  if docker compose -f "$COMPOSE_FILE" exec -T db pg_isready -U "$PG_USER" -d "$DB_NAME" >/dev/null 2>&1; then
+    log "Postgres is ready."
+    break
+  fi
+  if [[ $i -eq 40 ]]; then
+    logerr "Postgres did not become ready. Last 30 lines of db logs:"
+    docker compose -f "$COMPOSE_FILE" logs --tail=30 db >&2
+    die "Postgres did not become ready in time."
+  fi
+  sleep 2
+done
+
+# --- Create DB if using non-default name (benchmarks_test for clean migrations) ---
+if [[ "$DB_NAME" != "benchmarks" ]]; then
+  log "Using database: $DB_NAME (creating if missing)..."
+  docker compose -f "$COMPOSE_FILE" exec -T db psql -U "$PG_USER" -d postgres -v ON_ERROR_STOP=1 -c "CREATE DATABASE \"$DB_NAME\";" 2>/dev/null || true
+fi
+
+# --- Server: install, build, migrate (quiet: no npm/prisma warnings) ---
+STEP_LOG="$LOG_DIR/.local_test_step.log"
+log "Installing server dependencies..."
+(cd "$ROOT_DIR/server" && npm ci --no-fund --loglevel=error >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "server: npm ci failed"; }
+log "Building server..."
+(cd "$ROOT_DIR/server" && npm run build >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "server: npm run build failed"; }
+log "Generating Prisma client..."
+(cd "$ROOT_DIR/server" && PRISMA_TELEMETRY_DISABLED=1 npx prisma generate >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "server: prisma generate failed"; }
+log "Applying migrations..."
+(cd "$ROOT_DIR/server" && PRISMA_TELEMETRY_DISABLED=1 DATABASE_URL="$DATABASE_URL_LOCAL" npx prisma migrate deploy >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "server: prisma migrate deploy failed"; }
+if [[ "$SEED_DUMMY_BENCHMARKS" == "1" ]]; then
+  log "Seeding dummy benchmark data (${SEED_DUMMY_BENCHMARKS_COUNT} rows target)..."
+  (cd "$ROOT_DIR/server" && DATABASE_URL="$DATABASE_URL_LOCAL" SEED_DUMMY_BENCHMARKS=1 SEED_DUMMY_BENCHMARKS_COUNT="$SEED_DUMMY_BENCHMARKS_COUNT" node dist/seedDummyDatabase.js >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "server: dummy benchmark seed failed"; }
+else
+  log "Skipping dummy benchmark seed (SEED_DUMMY_BENCHMARKS=${SEED_DUMMY_BENCHMARKS})."
+fi
+
+log "Starting server on port $SERVER_PORT..."
+cd "$ROOT_DIR/server"
+: > "$SERVER_LOG"
+# Run node in a subshell that ignores SIGHUP then exec's node, so $! is node's PID and node won't exit on SIGHUP
+( trap '' HUP; export PORT="$SERVER_PORT" DATABASE_URL="$DATABASE_URL_LOCAL" NODE_ENV=development; exec node dist/index.js >> "$SERVER_LOG" 2>&1 ) &
+SERVER_PID=$!
+cd "$ROOT_DIR"
+
+# Diagnostic: after 2s report PID liveness and first health/ready response
+sleep 2
+if kill -0 "$SERVER_PID" 2>/dev/null; then
+  log "Diagnostic: PID $SERVER_PID is alive."
+else
+  log "Diagnostic: PID $SERVER_PID is NOT alive (process already exited)."
+fi
+CURL_OUT="$(curl -s --connect-timeout 3 --max-time 5 -w '\nHTTP_CODE:%{http_code}' "http://127.0.0.1:$SERVER_PORT/health/ready" 2>/dev/null)" || true
+CURL_CODE="${CURL_OUT##*HTTP_CODE:}"
+CURL_BODY="${CURL_OUT%HTTP_CODE:*}"
+log "Diagnostic: curl /health/ready -> HTTP $CURL_CODE body=${CURL_BODY:0:80}"
+if command -v lsof >/dev/null 2>&1; then
+  log "Diagnostic: port $SERVER_PORT listeners: $(lsof -i ":$SERVER_PORT" 2>/dev/null | wc -l | tr -d ' ') process(es)"
+fi
+
+# Wait for /health/ready with timeout; if server process dies, show log and exit
+HEALTH_TIMEOUT=45
+log "Waiting for server /health/ready (timeout ${HEALTH_TIMEOUT}s)..."
+for i in $(seq 1 "$HEALTH_TIMEOUT"); do
+  if ! kill -0 "$SERVER_PID" 2>/dev/null; then
+    logerr "Server process exited. Last 50 lines of server log:"
+    tail -n 50 "$SERVER_LOG" >&2
+    die "Server process died before becoming ready."
+  fi
+  code="$(curl -s -o /dev/null -w '%{http_code}' "http://127.0.0.1:$SERVER_PORT/health/ready" 2>/dev/null || echo 000)"
+  if [[ "$code" == "200" ]]; then
+    log "Server is ready."
+    break
+  fi
+  if [[ $i -eq $HEALTH_TIMEOUT ]]; then
+    logerr "Server did not become ready within ${HEALTH_TIMEOUT}s (last check: HTTP $code). Last 50 lines of server log:"
+    tail -n 50 "$SERVER_LOG" >&2
+    die "Server /health/ready failed (timeout)."
+  fi
+  sleep 1
+done
+
+# --- Frontend (optional) ---
+if [[ $NO_FRONTEND -eq 0 ]]; then
+  FRONTEND_ENV="$ROOT_DIR/frontend/.env.local"
+  log "Ensuring frontend .env.local (INTERNAL_API_BASE_URL)..."
+  echo "INTERNAL_API_BASE_URL=http://127.0.0.1:$SERVER_PORT" > "$FRONTEND_ENV"
+
+  log "Installing frontend dependencies..."
+  (cd "$ROOT_DIR/frontend" && npm ci --no-fund --loglevel=error >"$STEP_LOG" 2>&1) || { cat "$STEP_LOG" >&2; die "frontend: npm ci failed"; }
+  log "Starting frontend on port $FRONTEND_PORT (logs: $FRONTEND_LOG)"
+  : > "$FRONTEND_LOG"
+  (cd "$ROOT_DIR/frontend" && PORT="$FRONTEND_PORT" npm run dev >> "$FRONTEND_LOG" 2>&1) &
+  FRONTEND_PID=$!
+
+  log "Waiting for frontend to listen..."
+  for i in {1..25}; do
+    if curl -s -o /dev/null -w '%{http_code}' "http://127.0.0.1:$FRONTEND_PORT/" 2>/dev/null | grep -q '200\|304'; then
+      log "Frontend is up (http://127.0.0.1:$FRONTEND_PORT)."
+      break
+    fi
+    if [[ $i -eq 25 ]]; then
+      logerr "Frontend may still be starting. Last 30 lines:"
+      tail -n 30 "$FRONTEND_LOG" >&2
+    fi
+    sleep 2
+  done
+fi
+
+# --- Optional client/health checks ---
+if [[ $NO_CLIENT_CHECK -eq 0 ]]; then
+  log "Checking /health/live and /query..."
+  code_live="$(curl -s -o /dev/null -w '%{http_code}' "http://127.0.0.1:$SERVER_PORT/health/live")"
+  code_query="$(curl -s -o /dev/null -w '%{http_code}' "http://127.0.0.1:$SERVER_PORT/query")"
+  if [[ "$code_live" != "200" ]]; then
+    die "/health/live returned HTTP $code_live"
+  fi
+  if [[ "$code_query" != "200" ]]; then
+    die "/query returned HTTP $code_query"
+  fi
+  log "Health and query checks passed."
+fi
+
+# --- Summary ---
+log "=========================================="
+log "Local stack is up."
+log "  Backend:  http://127.0.0.1:$SERVER_PORT  (logs: $SERVER_LOG)"
+if [[ $NO_FRONTEND -eq 0 ]]; then
+  log "  Frontend: http://127.0.0.1:$FRONTEND_PORT (logs: $FRONTEND_LOG)"
+fi
+log "  DB:       postgresql://${PG_USER}:****@127.0.0.1:5432/${DB_NAME}"
+log "Press Ctrl+C to stop server and frontend."
+log "=========================================="
+wait $SERVER_PID 2>/dev/null || true
diff --git a/scripts/manage_keys.sh b/scripts/manage_keys.sh
old mode 100644
new mode 100755
index a1eda05..c179fdf
--- a/scripts/manage_keys.sh
+++ b/scripts/manage_keys.sh
@@ -1,48 +1,16 @@
 #!/usr/bin/env bash
-# Usage:
-#   ADMIN_TOKEN=... BASE_URL=https://encodingdb.platinumlabs.dev ./scripts/manage_keys.sh create "beta-001" tester@example.com
-#   ADMIN_TOKEN=... BASE_URL=https://encodingdb.platinumlabs.dev ./scripts/manage_keys.sh list
-#   ADMIN_TOKEN=... BASE_URL=https://encodingdb.platinumlabs.dev ./scripts/manage_keys.sh revoke <id>
-#   ADMIN_TOKEN=... BASE_URL=https://encodingdb.platinumlabs.dev ./scripts/manage_keys.sh ban <id>
 set -euo pipefail
 
-BASE_URL="${BASE_URL:-https://encodingdb.platinumlabs.dev}"
-ADMIN_TOKEN="${ADMIN_TOKEN:-}"
-if [[ -z "$ADMIN_TOKEN" ]]; then
-  echo "ADMIN_TOKEN env var required" >&2
-  exit 2
-fi
+cat >&2 <<'EOF'
+This script is intentionally disabled.
 
-cmd="${1:-}"
-case "$cmd" in
-  create)
-    name="${2:-beta}"
-    email="${3:-}"
-    body="{ \"name\": \"$name\""
-    if [[ -n "$email" ]]; then
-      body+=" , \"userEmail\": \"$email\""
-    fi
-    body+=" }"
-    curl -sS -X POST "$BASE_URL/admin/api-keys" \
-      -H "X-Admin-Token: $ADMIN_TOKEN" \
-      -H "Content-Type: application/json" \
-      --data "$body" | jq -r '.'
-    ;;
-  list)
-    curl -sS "$BASE_URL/admin/api-keys" -H "X-Admin-Token: $ADMIN_TOKEN" | jq -r '.'
-    ;;
-  revoke)
-    id="${2:-}"
-    if [[ -z "$id" ]]; then echo "id required" >&2; exit 2; fi
-    curl -sS -X POST "$BASE_URL/admin/api-keys/$id/revoke" -H "X-Admin-Token: $ADMIN_TOKEN" | jq -r '.'
-    ;;
-  ban)
-    id="${2:-}"
-    if [[ -z "$id" ]]; then echo "id required" >&2; exit 2; fi
-    curl -sS -X POST "$BASE_URL/admin/api-keys/$id/ban" -H "X-Admin-Token: $ADMIN_TOKEN" | jq -r '.'
-    ;;
-  *)
-    echo "Commands: create <name> [email] | list | revoke <id> | ban <id>" >&2
-    exit 2
-    ;;
-esac
+Reason:
+- The current backend does not expose /admin/api-keys endpoints.
+- Keeping a "working" key-management script would imply production controls that do not exist.
+
+Action:
+- Use ingest mode + rate limits currently implemented by the backend.
+- Re-enable this script only after admin key APIs are implemented server-side.
+EOF
+
+exit 1
diff --git a/scripts/redploy.sh b/scripts/redploy.sh
index 0065b36..b900b7c 100755
--- a/scripts/redploy.sh
+++ b/scripts/redploy.sh
@@ -86,77 +86,6 @@ if [ -z "$DOMAIN_CAND" ] || [ "$DOMAIN_CAND" = "" ]; then DOMAIN_CAND="$DEFAULT_
 # Make sure env files are not tracked
 untrack_env_files
 
-# --- Hotfix: ensure strict-safe diskWatchdog.ts present even if remote hasn't updated ---
-cat > server/src/diskWatchdog.ts <<'EOF'
-import { execFile } from 'node:child_process';
-
-let thresholdGb = Math.max(1, Number(process.env.DISK_MIN_FREE_GB || 25));
-let diskPath = String(process.env.DISK_PATH || '/');
-
-export let ingestReadOnly = false;
-let freeGb = Number.NaN;
-
-function parseDfKB(out: string): { freeBytes: number } | null {
-  // Expect lines like: Filesystem 1K-blocks Used Available Use% Mounted on
-  // We will pick the line for diskPath (best-effort: last column equals diskPath)
-  const lines = out.split('\n').map(l => l.trim()).filter(Boolean);
-  if (lines.length < 2) return null;
-  // Skip header, find a line whose last column matches diskPath
-  for (let i = 1; i < lines.length; i++) {
-    const raw = lines[i] ?? '';
-    const parts = raw.split(/\s+/);
-    if (parts.length < 6) continue;
-    const mount = String(parts[parts.length - 1] ?? '');
-    if (mount === diskPath) {
-      const availStr = String(parts[parts.length - 3] ?? '');
-      const availableKb = Number(availStr);
-      if (Number.isFinite(availableKb)) {
-        return { freeBytes: availableKb * 1024 };
-      }
-    }
-  }
-  // Fallback: try the second line if no exact match
-  const raw2 = lines[1] ?? '';
-  const parts = raw2.split(/\s+/);
-  if (parts.length >= 6) {
-    const availStr = String(parts[parts.length - 3] ?? '');
-    const availableKb = Number(availStr);
-    if (Number.isFinite(availableKb)) {
-      return { freeBytes: availableKb * 1024 };
-    }
-  }
-  return null;
-}
-
-export function getState() {
-  return {
-    ingestReadOnly,
-    freeGB: freeGb,
-    thresholdGB: thresholdGb,
-    path: diskPath,
-  } as const;
-}
-
-export function startWatchdog(intervalMs: number = 10_000) {
-  tryTick();
-  setInterval(tryTick, Math.max(2_000, intervalMs)).unref();
-}
-
-function tryTick() {
-  execFile('df', ['-k', diskPath], { timeout: 5000 }, (err, stdout) => {
-    if (err || !stdout) {
-      return; // keep previous state
-    }
-    const parsed = parseDfKB(stdout);
-    if (!parsed) return;
-    const gb = parsed.freeBytes / (1024 * 1024 * 1024);
-    freeGb = gb;
-    const nextReadOnly = gb < thresholdGb;
-    ingestReadOnly = nextReadOnly;
-  });
-}
-EOF
-
 # --- Ensure DB user password matches .env (handles existing volumes) ---
 echo "Ensuring database is up..."
 docker compose -f docker-compose.prod.yml up -d db
@@ -176,8 +105,8 @@ docker compose -f docker-compose.prod.yml exec -T db sh -lc "psql -U postgres -d
 docker compose -f docker-compose.prod.yml build --no-cache server frontend
 docker compose -f docker-compose.prod.yml up -d --no-deps --force-recreate server frontend
 
-# Apply Prisma migrations (idempotent; server also runs this on startup)
-docker compose -f docker-compose.prod.yml exec server npx prisma migrate deploy || true
+# Apply Prisma migrations (fail fast if schema update cannot be applied)
+docker compose -f docker-compose.prod.yml exec server npx prisma migrate deploy
 
 # Wait for backend readiness via nginx proxy
 echo "Waiting for backend readiness at http://localhost/health/ready ..."
@@ -197,4 +126,4 @@ echo "Checking frontend at http://localhost ..."
 curl -s -o /dev/null -w "Frontend HTTP %{http_code}\n" http://localhost || true
 
 # Tail recent logs
-docker compose -f docker-compose.prod.yml logs --tail=80 server
\ No newline at end of file
+docker compose -f docker-compose.prod.yml logs --tail=80 server
diff --git a/scripts/setup_env.sh b/scripts/setup_env.sh
index a65d5ee..9b3b9bc 100755
--- a/scripts/setup_env.sh
+++ b/scripts/setup_env.sh
@@ -47,13 +47,6 @@ RATE_LIMIT_MAX="300"
 SUBMIT_RATE_WINDOW_MS="60000"
 SUBMIT_RATE_MAX="30"
 NEXT_PUBLIC_API_BASE_URL=""
-# Beta auth & quotas
-API_KEY_HEADER="X-API-Key"
-SUBMIT_PER_KEY_PER_MINUTE="30"
-SUBMIT_PER_KEY_PER_DAY="1000"
-DISK_MIN_FREE_GB="25"
-DISK_PATH="/"
-ADMIN_TOKEN=""
 
 print_help() {
   cat <<'EOF'
@@ -73,12 +66,6 @@ Options:
   --submit-window-ms MS           /submit rate limit window (default: 60000)
   --submit-max N                  /submit rate limit max (default: 30)
   --public-api-base URL           NEXT_PUBLIC_API_BASE_URL (default: https://<domain>)
-  --api-key-header NAME           Header name for API key (default: X-API-Key)
-  --per-key-per-minute N          Per-key minute quota (default: 30)
-  --per-key-per-day N             Per-key day quota (default: 1000)
-  --disk-min-free-gb N            Reject submissions below this free GB (default: 25)
-  --disk-path PATH                Filesystem mount to monitor (default: /)
-  --admin-token TOKEN             Admin token for /admin API (default: random)
   -h, --help                      Show this help
 
 This script writes .env at repo root and mirrors it to server/.env.
@@ -101,12 +88,10 @@ while [[ $# -gt 0 ]]; do
     --submit-window-ms) SUBMIT_RATE_WINDOW_MS="$2"; shift 2 ;;
     --submit-max) SUBMIT_RATE_MAX="$2"; shift 2 ;;
     --public-api-base) NEXT_PUBLIC_API_BASE_URL="$2"; shift 2 ;;
-    --api-key-header) API_KEY_HEADER="$2"; shift 2 ;;
-    --per-key-per-minute) SUBMIT_PER_KEY_PER_MINUTE="$2"; shift 2 ;;
-    --per-key-per-day) SUBMIT_PER_KEY_PER_DAY="$2"; shift 2 ;;
-    --disk-min-free-gb) DISK_MIN_FREE_GB="$2"; shift 2 ;;
-    --disk-path) DISK_PATH="$2"; shift 2 ;;
-    --admin-token) ADMIN_TOKEN="$2"; shift 2 ;;
+    --api-key-header|--per-key-per-minute|--per-key-per-day|--disk-min-free-gb|--disk-path|--admin-token)
+      echo "$(yellow "Warning: $1 is deprecated and ignored (feature not implemented in backend).")" >&2
+      shift 2
+      ;;
     -h|--help) print_help; exit 0 ;;
     *) echo "Unknown arg: $1" >&2; print_help; exit 2 ;;
   esac
@@ -121,7 +106,6 @@ if [[ -z "$CORS_ORIGINS" || "$CORS_ORIGINS" = "https://" || "$CORS_ORIGINS" = "h
 if [[ -z "$NEXT_PUBLIC_API_BASE_URL" || "$NEXT_PUBLIC_API_BASE_URL" = "https://" || "$NEXT_PUBLIC_API_BASE_URL" = "http://" ]]; then NEXT_PUBLIC_API_BASE_URL="https://$DOMAIN"; fi
 if [[ -z "$POSTGRES_PASSWORD" ]]; then POSTGRES_PASSWORD="$(rand_hex 24)"; fi
 if [[ -z "$INGEST_HMAC_SECRET" ]]; then INGEST_HMAC_SECRET="$(rand_hex 32)"; fi
-if [[ -z "$ADMIN_TOKEN" ]]; then ADMIN_TOKEN="$(rand_hex 24)"; fi
 
 DATABASE_URL="postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}?schema=public"
 
@@ -147,18 +131,6 @@ SUBMIT_RATE_WINDOW_MS=${SUBMIT_RATE_WINDOW_MS}
 SUBMIT_RATE_MAX=${SUBMIT_RATE_MAX}
 INGEST_HMAC_SECRET=${INGEST_HMAC_SECRET}
 
-# API key auth (beta)
-API_KEY_HEADER=${API_KEY_HEADER}
-SUBMIT_PER_KEY_PER_MINUTE=${SUBMIT_PER_KEY_PER_MINUTE}
-SUBMIT_PER_KEY_PER_DAY=${SUBMIT_PER_KEY_PER_DAY}
-
-# Disk watchdog
-DISK_MIN_FREE_GB=${DISK_MIN_FREE_GB}
-DISK_PATH=${DISK_PATH}
-
-# Admin API
-ADMIN_TOKEN=${ADMIN_TOKEN}
-
 # Frontend (public)
 NEXT_PUBLIC_API_BASE_URL=${NEXT_PUBLIC_API_BASE_URL}
 EOF
@@ -191,4 +163,3 @@ echo "  1) Ensure Nginx Proxy Manager host uses HTTPS and the Advanced config fr
 echo "  2) Deploy with: docker compose -f docker-compose.prod.yml up -d --build"
 echo "  3) Verify /health/ready at your domain"
 
-
diff --git a/server/package.json b/server/package.json
index 747c9ad..bc2a2af 100644
--- a/server/package.json
+++ b/server/package.json
@@ -4,7 +4,7 @@
   "description": "",
   "main": "index.js",
   "scripts": {
-    "test": "echo \"Error: no test specified\" && exit 1",
+    "test": "npm run build && node --test test/**/*.test.js",
     "dev": "tsx watch src/index.ts",
     "build": "tsc",
     "start": "node dist/index.js"
diff --git a/server/prisma/migrations/20251001180225_init_postgres/migration.sql b/server/prisma/migrations/20251001180225_init_postgres/migration.sql
index 21cac85..91ca83e 100644
--- a/server/prisma/migrations/20251001180225_init_postgres/migration.sql
+++ b/server/prisma/migrations/20251001180225_init_postgres/migration.sql
@@ -1,5 +1,5 @@
 -- CreateTable
-CREATE TABLE "Benchmark" (
+CREATE TABLE IF NOT EXISTS "Benchmark" (
     "id" TEXT NOT NULL,
     "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
     "cpuModel" TEXT NOT NULL,
diff --git a/server/prisma/migrations/20251009000000_create_submission_table/migration.sql b/server/prisma/migrations/20251009000000_create_submission_table/migration.sql
new file mode 100644
index 0000000..4fc780c
--- /dev/null
+++ b/server/prisma/migrations/20251009000000_create_submission_table/migration.sql
@@ -0,0 +1,39 @@
+-- Create Submission table (required by API + later migrations)
+CREATE TABLE IF NOT EXISTS "Submission" (
+    "id" TEXT NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    "cpuModel" TEXT NOT NULL,
+    "gpuModel" TEXT,
+    "ramGB" INTEGER NOT NULL,
+    "os" TEXT NOT NULL,
+
+    "codec" TEXT NOT NULL,
+    "preset" TEXT NOT NULL,
+    "crf" INTEGER,
+
+    "fps" DOUBLE PRECISION NOT NULL,
+    "vmaf" DOUBLE PRECISION,
+    "fileSizeBytes" INTEGER NOT NULL,
+    "notes" TEXT,
+
+    "status" TEXT NOT NULL DEFAULT 'pending',
+    "qualityScore" DOUBLE PRECISION,
+
+    "ffmpegVersion" TEXT,
+    "encoderName" TEXT,
+    "clientVersion" TEXT,
+    "inputHash" TEXT,
+    "runMs" INTEGER,
+
+    "payloadHash" TEXT,
+
+    CONSTRAINT "Submission_pkey" PRIMARY KEY ("id")
+);
+
+-- Idempotency and basic query indexes
+CREATE UNIQUE INDEX IF NOT EXISTS "Submission_payloadHash_key" ON "Submission"("payloadHash");
+CREATE INDEX IF NOT EXISTS "Submission_createdAt_idx" ON "Submission"("createdAt");
+CREATE INDEX IF NOT EXISTS "Submission_status_idx" ON "Submission"("status");
+CREATE INDEX IF NOT EXISTS "Submission_codec_idx" ON "Submission"("codec");
diff --git a/server/prisma/migrations/20251010120000_data_integrity_sprint1/migration.sql b/server/prisma/migrations/20251010120000_data_integrity_sprint1/migration.sql
new file mode 100644
index 0000000..30f74eb
--- /dev/null
+++ b/server/prisma/migrations/20251010120000_data_integrity_sprint1/migration.sql
@@ -0,0 +1,47 @@
+-- Data Integrity Sprint 1: B-D01, B-S01 schema, B-C08
+-- Backfill NULLs, alter columns to NOT NULL with defaults, add sum columns
+
+-- 1. Backfill NULL gpuModel and crf in Benchmark
+UPDATE "Benchmark" SET "gpuModel" = '' WHERE "gpuModel" IS NULL;
+UPDATE "Benchmark" SET "crf" = 24 WHERE "crf" IS NULL;
+
+-- 2. Backfill NULL gpuModel and crf in Submission
+UPDATE "Submission" SET "gpuModel" = '' WHERE "gpuModel" IS NULL;
+UPDATE "Submission" SET "crf" = 24 WHERE "crf" IS NULL;
+
+-- 3. De-duplicate Benchmark rows that now collide on the compound unique key
+-- Keep the row with the highest samples count for each compound key
+DELETE FROM "Benchmark" b
+USING "Benchmark" b2
+WHERE b."cpuModel" = b2."cpuModel"
+  AND b."gpuModel" = b2."gpuModel"
+  AND b."ramGB" = b2."ramGB"
+  AND b."os" = b2."os"
+  AND b."codec" = b2."codec"
+  AND b."preset" = b2."preset"
+  AND b."crf" = b2."crf"
+  AND (b."samples" < b2."samples" OR (b."samples" = b2."samples" AND b."id" < b2."id"));
+
+-- 4. Alter Benchmark columns to NOT NULL with defaults
+ALTER TABLE "Benchmark" ALTER COLUMN "gpuModel" SET NOT NULL;
+ALTER TABLE "Benchmark" ALTER COLUMN "gpuModel" SET DEFAULT '';
+ALTER TABLE "Benchmark" ALTER COLUMN "crf" SET NOT NULL;
+ALTER TABLE "Benchmark" ALTER COLUMN "crf" SET DEFAULT 24;
+
+-- 5. Alter Submission columns to NOT NULL with defaults
+ALTER TABLE "Submission" ALTER COLUMN "gpuModel" SET NOT NULL;
+ALTER TABLE "Submission" ALTER COLUMN "gpuModel" SET DEFAULT '';
+ALTER TABLE "Submission" ALTER COLUMN "crf" SET NOT NULL;
+ALTER TABLE "Submission" ALTER COLUMN "crf" SET DEFAULT 24;
+
+-- 6. Add sum columns to Benchmark
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "fpsSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "fileSizeSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "vmafSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+
+-- 7. Backfill sum columns from existing averages: sum = avg * samples
+UPDATE "Benchmark"
+SET "fpsSum" = "fps" * GREATEST("samples", 1),
+    "fileSizeSum" = "fileSizeBytes" * GREATEST("samples", 1),
+    "vmafSum" = COALESCE("vmaf", 0) * GREATEST("vmafSamples", 0)
+WHERE "samples" > 0 OR "vmafSamples" > 0;
diff --git a/server/prisma/migrations/20251012120000_sprint2_optimizations/migration.sql b/server/prisma/migrations/20251012120000_sprint2_optimizations/migration.sql
new file mode 100644
index 0000000..2469c5c
--- /dev/null
+++ b/server/prisma/migrations/20251012120000_sprint2_optimizations/migration.sql
@@ -0,0 +1,4 @@
+-- Sprint 2: S-08 composite index for the main query pattern
+-- WHERE status='accepted' ORDER BY createdAt DESC
+
+CREATE INDEX IF NOT EXISTS "Benchmark_status_createdAt_idx" ON "Benchmark"("status", "createdAt");
diff --git a/server/prisma/migrations/20260218120000_sprint3_ssim_psnr/migration.sql b/server/prisma/migrations/20260218120000_sprint3_ssim_psnr/migration.sql
new file mode 100644
index 0000000..cc4458a
--- /dev/null
+++ b/server/prisma/migrations/20260218120000_sprint3_ssim_psnr/migration.sql
@@ -0,0 +1,11 @@
+-- AlterTable: Add SSIM and PSNR columns to Benchmark
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ssim" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "psnr" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ssimSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ssimSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "psnrSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "psnrSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+
+-- AlterTable: Add SSIM and PSNR columns to Submission
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ssim" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "psnr" DOUBLE PRECISION;
diff --git a/server/prisma/migrations/20260218130000_sprint5_multi_content/migration.sql b/server/prisma/migrations/20260218130000_sprint5_multi_content/migration.sql
new file mode 100644
index 0000000..c526c13
--- /dev/null
+++ b/server/prisma/migrations/20260218130000_sprint5_multi_content/migration.sql
@@ -0,0 +1,58 @@
+-- Sprint 5: Multi-Content and Resolution Testing
+
+-- Add multi-content and resolution fields to Benchmark
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "contentClass" TEXT NOT NULL DEFAULT 'mixed';
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "resolution" TEXT NOT NULL DEFAULT '1080p';
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "passes" INTEGER NOT NULL DEFAULT 1;
+
+-- Add multi-content and resolution fields to Submission
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "contentClass" TEXT NOT NULL DEFAULT 'mixed';
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "resolution" TEXT NOT NULL DEFAULT '1080p';
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "passes" INTEGER NOT NULL DEFAULT 1;
+
+-- Drop old unique constraint and create new one including the new dimensions
+ALTER TABLE "Benchmark" DROP CONSTRAINT IF EXISTS "Benchmark_cpuModel_gpuModel_ramGB_os_codec_preset_crf_key";
+DO $$
+BEGIN
+  IF NOT EXISTS (
+    SELECT 1
+    FROM pg_constraint
+    WHERE conname = 'Benchmark_cpuModel_gpuModel_ramGB_os_codec_preset_crf_conte_key'
+      AND conrelid = '"Benchmark"'::regclass
+  ) THEN
+    ALTER TABLE "Benchmark" ADD CONSTRAINT "Benchmark_cpuModel_gpuModel_ramGB_os_codec_preset_crf_conte_key"
+      UNIQUE ("cpuModel", "gpuModel", "ramGB", "os", "codec", "preset", "crf", "contentClass", "resolution", "passes");
+  END IF;
+END
+$$;
+
+-- Update Submission compound index to include new dimensions
+DROP INDEX IF EXISTS "Submission_cpuModel_gpuModel_ramGB_os_codec_preset_crf_idx";
+CREATE INDEX IF NOT EXISTS "Submission_cpuModel_gpuModel_ramGB_os_codec_preset_crf_conte_idx"
+  ON "Submission"("cpuModel", "gpuModel", "ramGB", "os", "codec", "preset", "crf", "contentClass", "resolution", "passes");
+
+-- New indexes for filtering by content/resolution
+CREATE INDEX IF NOT EXISTS "Benchmark_contentClass_idx" ON "Benchmark"("contentClass");
+CREATE INDEX IF NOT EXISTS "Benchmark_resolution_idx" ON "Benchmark"("resolution");
+CREATE INDEX IF NOT EXISTS "Benchmark_contentClass_resolution_idx" ON "Benchmark"("contentClass", "resolution");
+CREATE INDEX IF NOT EXISTS "Submission_contentClass_idx" ON "Submission"("contentClass");
+CREATE INDEX IF NOT EXISTS "Submission_resolution_idx" ON "Submission"("resolution");
+
+-- TestVideo catalog table
+CREATE TABLE IF NOT EXISTS "TestVideo" (
+    "id" TEXT NOT NULL,
+    "name" TEXT NOT NULL,
+    "contentClass" TEXT NOT NULL,
+    "resolution" TEXT NOT NULL,
+    "duration" DOUBLE PRECISION NOT NULL,
+    "sha256" TEXT NOT NULL,
+    "downloadUrl" TEXT NOT NULL,
+    "sizeBytes" INTEGER NOT NULL,
+    "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
+
+    CONSTRAINT "TestVideo_pkey" PRIMARY KEY ("id")
+);
+
+CREATE UNIQUE INDEX IF NOT EXISTS "TestVideo_sha256_key" ON "TestVideo"("sha256");
+CREATE INDEX IF NOT EXISTS "TestVideo_contentClass_idx" ON "TestVideo"("contentClass");
+CREATE INDEX IF NOT EXISTS "TestVideo_contentClass_resolution_idx" ON "TestVideo"("contentClass", "resolution");
diff --git a/server/prisma/migrations/20260218130000_sprint5_multi_content_resolution/migration.sql b/server/prisma/migrations/20260218130000_sprint5_multi_content_resolution/migration.sql
new file mode 100644
index 0000000..0d28ffd
--- /dev/null
+++ b/server/prisma/migrations/20260218130000_sprint5_multi_content_resolution/migration.sql
@@ -0,0 +1,2 @@
+-- Sprint 5 (follow-up): placeholder migration.
+-- This migration intentionally contains no changes.
diff --git a/server/prisma/migrations/20260218130000_sprint6_hardware_metrics/migration.sql b/server/prisma/migrations/20260218130000_sprint6_hardware_metrics/migration.sql
new file mode 100644
index 0000000..38bd925
--- /dev/null
+++ b/server/prisma/migrations/20260218130000_sprint6_hardware_metrics/migration.sql
@@ -0,0 +1,29 @@
+-- Sprint 6: Hardware Intelligence
+-- Add hardware metrics fields to Benchmark and Submission models
+
+-- Benchmark: hardware metric columns
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuPowerAvgW" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuMemPeakMB" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuUtilMax" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "peakMemoryMB" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "thermalThrottle" BOOLEAN;
+
+-- Benchmark: hardware metrics aggregation columns
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuUtilSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuUtilSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuPowerSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuPowerSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuUtilSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuUtilSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "peakMemoryMax" DOUBLE PRECISION;
+
+-- Submission: hardware metric columns
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "gpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "gpuPowerAvgW" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "gpuMemPeakMB" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "cpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "cpuUtilMax" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "peakMemoryMB" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "thermalThrottle" BOOLEAN;
diff --git a/server/prisma/migrations/20260218140000_sprint4_query_indexes/migration.sql b/server/prisma/migrations/20260218140000_sprint4_query_indexes/migration.sql
new file mode 100644
index 0000000..2bd146c
--- /dev/null
+++ b/server/prisma/migrations/20260218140000_sprint4_query_indexes/migration.sql
@@ -0,0 +1,3 @@
+-- Sprint 4: Add indexes for text search filtering on cpuModel and gpuModel
+CREATE INDEX IF NOT EXISTS "Benchmark_cpuModel_idx" ON "Benchmark"("cpuModel");
+CREATE INDEX IF NOT EXISTS "Benchmark_gpuModel_idx" ON "Benchmark"("gpuModel");
diff --git a/server/prisma/migrations/20260219170000_sprint7_extended_telemetry/migration.sql b/server/prisma/migrations/20260219170000_sprint7_extended_telemetry/migration.sql
new file mode 100644
index 0000000..331c8a6
--- /dev/null
+++ b/server/prisma/migrations/20260219170000_sprint7_extended_telemetry/migration.sql
@@ -0,0 +1,288 @@
+-- Sprint 7: Extended telemetry columns (queryable)
+
+-- Submission: raw per-run telemetry
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "gpuTempMaxC" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "cpuFreqAvgMHz" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "cpuTempMaxC" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilMax" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ffmpegReadMB" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ffmpegWriteMB" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "ffmpegCpuTimeS" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "batteryPercentStart" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "batteryPercentEnd" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "batteryPercentDrop" DOUBLE PRECISION;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "powerSource" TEXT;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "sampleCount" INTEGER;
+ALTER TABLE "Submission" ADD COLUMN IF NOT EXISTS "monitorDurationMs" INTEGER;
+
+-- Benchmark: aggregated/derived telemetry view
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "gpuTempMaxC" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuFreqAvgMHz" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuTempMaxC" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilAvg" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilMax" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegReadMB" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegWriteMB" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuTimeS" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryPercentStart" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryPercentEnd" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryPercentDrop" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "powerSource" TEXT;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "sampleCount" DOUBLE PRECISION;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "monitorDurationMs" DOUBLE PRECISION;
+
+-- Benchmark aggregation helpers
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuFreqSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "cpuFreqSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuUtilSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegReadSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegReadSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegWriteSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegWriteSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuTimeSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "ffmpegCpuTimeSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryStartSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryStartSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryEndSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryEndSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryDropSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "batteryDropSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "sampleCountSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "sampleCountSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "monitorDurationSamples" INTEGER NOT NULL DEFAULT 0;
+ALTER TABLE "Benchmark" ADD COLUMN IF NOT EXISTS "monitorDurationSum" DOUBLE PRECISION NOT NULL DEFAULT 0;
+
+-- Compatibility backfill: promote telemetry JSON from notes into first-class columns.
+CREATE OR REPLACE FUNCTION "_try_parse_jsonb"("input" TEXT)
+RETURNS JSONB
+LANGUAGE plpgsql
+AS $$
+BEGIN
+  RETURN "input"::jsonb;
+EXCEPTION WHEN others THEN
+  RETURN NULL;
+END;
+$$;
+
+WITH parsed_submission AS (
+  SELECT
+    "id",
+    "_try_parse_jsonb"(substring("notes" FROM 'telemetry=(\{.*\})')) AS tele
+  FROM "Submission"
+  WHERE "notes" IS NOT NULL
+    AND "notes" LIKE '%telemetry={%'
+)
+UPDATE "Submission" s
+SET
+  "gpuUtilAvg" = COALESCE(s."gpuUtilAvg", CASE WHEN jsonb_typeof(ps.tele->'gpuUtilAvg') = 'number' THEN (ps.tele->>'gpuUtilAvg')::DOUBLE PRECISION END),
+  "gpuPowerAvgW" = COALESCE(s."gpuPowerAvgW", CASE WHEN jsonb_typeof(ps.tele->'gpuPowerAvgW') = 'number' THEN (ps.tele->>'gpuPowerAvgW')::DOUBLE PRECISION END),
+  "gpuMemPeakMB" = COALESCE(s."gpuMemPeakMB", CASE WHEN jsonb_typeof(ps.tele->'gpuMemPeakMB') = 'number' THEN (ps.tele->>'gpuMemPeakMB')::DOUBLE PRECISION END),
+  "cpuUtilAvg" = COALESCE(s."cpuUtilAvg", CASE WHEN jsonb_typeof(ps.tele->'cpuUtilAvg') = 'number' THEN (ps.tele->>'cpuUtilAvg')::DOUBLE PRECISION END),
+  "cpuUtilMax" = COALESCE(s."cpuUtilMax", CASE WHEN jsonb_typeof(ps.tele->'cpuUtilMax') = 'number' THEN (ps.tele->>'cpuUtilMax')::DOUBLE PRECISION END),
+  "peakMemoryMB" = COALESCE(s."peakMemoryMB", CASE WHEN jsonb_typeof(ps.tele->'peakMemoryMB') = 'number' THEN (ps.tele->>'peakMemoryMB')::DOUBLE PRECISION END),
+  "thermalThrottle" = COALESCE(s."thermalThrottle", CASE WHEN jsonb_typeof(ps.tele->'thermalThrottle') = 'boolean' THEN (ps.tele->>'thermalThrottle')::BOOLEAN END),
+  "gpuTempMaxC" = COALESCE(s."gpuTempMaxC", CASE WHEN jsonb_typeof(ps.tele->'gpuTempMaxC') = 'number' THEN (ps.tele->>'gpuTempMaxC')::DOUBLE PRECISION END),
+  "cpuFreqAvgMHz" = COALESCE(s."cpuFreqAvgMHz", CASE WHEN jsonb_typeof(ps.tele->'cpuFreqAvgMHz') = 'number' THEN (ps.tele->>'cpuFreqAvgMHz')::DOUBLE PRECISION END),
+  "cpuTempMaxC" = COALESCE(s."cpuTempMaxC", CASE WHEN jsonb_typeof(ps.tele->'cpuTempMaxC') = 'number' THEN (ps.tele->>'cpuTempMaxC')::DOUBLE PRECISION END),
+  "ffmpegCpuUtilAvg" = COALESCE(s."ffmpegCpuUtilAvg", CASE WHEN jsonb_typeof(ps.tele->'ffmpegCpuUtilAvg') = 'number' THEN (ps.tele->>'ffmpegCpuUtilAvg')::DOUBLE PRECISION END),
+  "ffmpegCpuUtilMax" = COALESCE(s."ffmpegCpuUtilMax", CASE WHEN jsonb_typeof(ps.tele->'ffmpegCpuUtilMax') = 'number' THEN (ps.tele->>'ffmpegCpuUtilMax')::DOUBLE PRECISION END),
+  "ffmpegReadMB" = COALESCE(s."ffmpegReadMB", CASE WHEN jsonb_typeof(ps.tele->'ffmpegReadMB') = 'number' THEN (ps.tele->>'ffmpegReadMB')::DOUBLE PRECISION END),
+  "ffmpegWriteMB" = COALESCE(s."ffmpegWriteMB", CASE WHEN jsonb_typeof(ps.tele->'ffmpegWriteMB') = 'number' THEN (ps.tele->>'ffmpegWriteMB')::DOUBLE PRECISION END),
+  "ffmpegCpuTimeS" = COALESCE(s."ffmpegCpuTimeS", CASE WHEN jsonb_typeof(ps.tele->'ffmpegCpuTimeS') = 'number' THEN (ps.tele->>'ffmpegCpuTimeS')::DOUBLE PRECISION END),
+  "batteryPercentStart" = COALESCE(s."batteryPercentStart", CASE WHEN jsonb_typeof(ps.tele->'batteryPercentStart') = 'number' THEN (ps.tele->>'batteryPercentStart')::DOUBLE PRECISION END),
+  "batteryPercentEnd" = COALESCE(s."batteryPercentEnd", CASE WHEN jsonb_typeof(ps.tele->'batteryPercentEnd') = 'number' THEN (ps.tele->>'batteryPercentEnd')::DOUBLE PRECISION END),
+  "batteryPercentDrop" = COALESCE(s."batteryPercentDrop", CASE WHEN jsonb_typeof(ps.tele->'batteryPercentDrop') = 'number' THEN (ps.tele->>'batteryPercentDrop')::DOUBLE PRECISION END),
+  "powerSource" = COALESCE(s."powerSource", CASE WHEN (ps.tele->>'powerSource') IN ('ac', 'battery') THEN ps.tele->>'powerSource' END),
+  "sampleCount" = COALESCE(s."sampleCount", CASE WHEN jsonb_typeof(ps.tele->'sampleCount') = 'number' THEN ROUND((ps.tele->>'sampleCount')::DOUBLE PRECISION)::INTEGER END),
+  "monitorDurationMs" = COALESCE(s."monitorDurationMs", CASE WHEN jsonb_typeof(ps.tele->'monitorDurationMs') = 'number' THEN ROUND((ps.tele->>'monitorDurationMs')::DOUBLE PRECISION)::INTEGER END)
+FROM parsed_submission ps
+WHERE s."id" = ps."id"
+  AND ps.tele IS NOT NULL;
+
+WITH parsed_benchmark AS (
+  SELECT
+    "id",
+    "_try_parse_jsonb"(substring("notes" FROM 'telemetry=(\{.*\})')) AS tele
+  FROM "Benchmark"
+  WHERE "notes" IS NOT NULL
+    AND "notes" LIKE '%telemetry={%'
+)
+UPDATE "Benchmark" b
+SET
+  "gpuUtilAvg" = COALESCE(b."gpuUtilAvg", CASE WHEN jsonb_typeof(pb.tele->'gpuUtilAvg') = 'number' THEN (pb.tele->>'gpuUtilAvg')::DOUBLE PRECISION END),
+  "gpuPowerAvgW" = COALESCE(b."gpuPowerAvgW", CASE WHEN jsonb_typeof(pb.tele->'gpuPowerAvgW') = 'number' THEN (pb.tele->>'gpuPowerAvgW')::DOUBLE PRECISION END),
+  "gpuMemPeakMB" = COALESCE(b."gpuMemPeakMB", CASE WHEN jsonb_typeof(pb.tele->'gpuMemPeakMB') = 'number' THEN (pb.tele->>'gpuMemPeakMB')::DOUBLE PRECISION END),
+  "cpuUtilAvg" = COALESCE(b."cpuUtilAvg", CASE WHEN jsonb_typeof(pb.tele->'cpuUtilAvg') = 'number' THEN (pb.tele->>'cpuUtilAvg')::DOUBLE PRECISION END),
+  "cpuUtilMax" = COALESCE(b."cpuUtilMax", CASE WHEN jsonb_typeof(pb.tele->'cpuUtilMax') = 'number' THEN (pb.tele->>'cpuUtilMax')::DOUBLE PRECISION END),
+  "peakMemoryMB" = COALESCE(b."peakMemoryMB", CASE WHEN jsonb_typeof(pb.tele->'peakMemoryMB') = 'number' THEN (pb.tele->>'peakMemoryMB')::DOUBLE PRECISION END),
+  "thermalThrottle" = COALESCE(b."thermalThrottle", CASE WHEN jsonb_typeof(pb.tele->'thermalThrottle') = 'boolean' THEN (pb.tele->>'thermalThrottle')::BOOLEAN END),
+  "gpuTempMaxC" = COALESCE(b."gpuTempMaxC", CASE WHEN jsonb_typeof(pb.tele->'gpuTempMaxC') = 'number' THEN (pb.tele->>'gpuTempMaxC')::DOUBLE PRECISION END),
+  "cpuFreqAvgMHz" = COALESCE(b."cpuFreqAvgMHz", CASE WHEN jsonb_typeof(pb.tele->'cpuFreqAvgMHz') = 'number' THEN (pb.tele->>'cpuFreqAvgMHz')::DOUBLE PRECISION END),
+  "cpuTempMaxC" = COALESCE(b."cpuTempMaxC", CASE WHEN jsonb_typeof(pb.tele->'cpuTempMaxC') = 'number' THEN (pb.tele->>'cpuTempMaxC')::DOUBLE PRECISION END),
+  "ffmpegCpuUtilAvg" = COALESCE(b."ffmpegCpuUtilAvg", CASE WHEN jsonb_typeof(pb.tele->'ffmpegCpuUtilAvg') = 'number' THEN (pb.tele->>'ffmpegCpuUtilAvg')::DOUBLE PRECISION END),
+  "ffmpegCpuUtilMax" = COALESCE(b."ffmpegCpuUtilMax", CASE WHEN jsonb_typeof(pb.tele->'ffmpegCpuUtilMax') = 'number' THEN (pb.tele->>'ffmpegCpuUtilMax')::DOUBLE PRECISION END),
+  "ffmpegReadMB" = COALESCE(b."ffmpegReadMB", CASE WHEN jsonb_typeof(pb.tele->'ffmpegReadMB') = 'number' THEN (pb.tele->>'ffmpegReadMB')::DOUBLE PRECISION END),
+  "ffmpegWriteMB" = COALESCE(b."ffmpegWriteMB", CASE WHEN jsonb_typeof(pb.tele->'ffmpegWriteMB') = 'number' THEN (pb.tele->>'ffmpegWriteMB')::DOUBLE PRECISION END),
+  "ffmpegCpuTimeS" = COALESCE(b."ffmpegCpuTimeS", CASE WHEN jsonb_typeof(pb.tele->'ffmpegCpuTimeS') = 'number' THEN (pb.tele->>'ffmpegCpuTimeS')::DOUBLE PRECISION END),
+  "batteryPercentStart" = COALESCE(b."batteryPercentStart", CASE WHEN jsonb_typeof(pb.tele->'batteryPercentStart') = 'number' THEN (pb.tele->>'batteryPercentStart')::DOUBLE PRECISION END),
+  "batteryPercentEnd" = COALESCE(b."batteryPercentEnd", CASE WHEN jsonb_typeof(pb.tele->'batteryPercentEnd') = 'number' THEN (pb.tele->>'batteryPercentEnd')::DOUBLE PRECISION END),
+  "batteryPercentDrop" = COALESCE(b."batteryPercentDrop", CASE WHEN jsonb_typeof(pb.tele->'batteryPercentDrop') = 'number' THEN (pb.tele->>'batteryPercentDrop')::DOUBLE PRECISION END),
+  "powerSource" = COALESCE(b."powerSource", CASE WHEN (pb.tele->>'powerSource') IN ('ac', 'battery') THEN pb.tele->>'powerSource' END),
+  "sampleCount" = COALESCE(b."sampleCount", CASE WHEN jsonb_typeof(pb.tele->'sampleCount') = 'number' THEN (pb.tele->>'sampleCount')::DOUBLE PRECISION END),
+  "monitorDurationMs" = COALESCE(b."monitorDurationMs", CASE WHEN jsonb_typeof(pb.tele->'monitorDurationMs') = 'number' THEN (pb.tele->>'monitorDurationMs')::DOUBLE PRECISION END)
+FROM parsed_benchmark pb
+WHERE b."id" = pb."id"
+  AND pb.tele IS NOT NULL;
+
+-- Refresh benchmark aggregate helper columns from accepted submissions.
+WITH agg AS (
+  SELECT
+    "cpuModel",
+    "gpuModel",
+    "ramGB",
+    "os",
+    "codec",
+    "preset",
+    "crf",
+    "contentClass",
+    "resolution",
+    "passes",
+    COUNT(*)::INTEGER AS samples,
+    COALESCE(SUM("fps"), 0)::DOUBLE PRECISION AS fps_sum,
+    COALESCE(SUM("fileSizeBytes"::DOUBLE PRECISION), 0)::DOUBLE PRECISION AS file_size_sum,
+    COUNT("vmaf")::INTEGER AS vmaf_samples,
+    COALESCE(SUM("vmaf"), 0)::DOUBLE PRECISION AS vmaf_sum,
+    COUNT("ssim")::INTEGER AS ssim_samples,
+    COALESCE(SUM("ssim"), 0)::DOUBLE PRECISION AS ssim_sum,
+    COUNT("psnr")::INTEGER AS psnr_samples,
+    COALESCE(SUM("psnr"), 0)::DOUBLE PRECISION AS psnr_sum,
+    COUNT("gpuUtilAvg")::INTEGER AS gpu_util_samples,
+    COALESCE(SUM("gpuUtilAvg"), 0)::DOUBLE PRECISION AS gpu_util_sum,
+    COUNT("gpuPowerAvgW")::INTEGER AS gpu_power_samples,
+    COALESCE(SUM("gpuPowerAvgW"), 0)::DOUBLE PRECISION AS gpu_power_sum,
+    COUNT("cpuUtilAvg")::INTEGER AS cpu_util_samples,
+    COALESCE(SUM("cpuUtilAvg"), 0)::DOUBLE PRECISION AS cpu_util_sum,
+    MAX("peakMemoryMB")::DOUBLE PRECISION AS peak_memory_max,
+    BOOL_OR(COALESCE("thermalThrottle", FALSE)) AS thermal_throttle_any,
+    MAX("gpuTempMaxC")::DOUBLE PRECISION AS gpu_temp_max,
+    COUNT("cpuFreqAvgMHz")::INTEGER AS cpu_freq_samples,
+    COALESCE(SUM("cpuFreqAvgMHz"), 0)::DOUBLE PRECISION AS cpu_freq_sum,
+    MAX("cpuTempMaxC")::DOUBLE PRECISION AS cpu_temp_max,
+    COUNT("ffmpegCpuUtilAvg")::INTEGER AS ffmpeg_cpu_avg_samples,
+    COALESCE(SUM("ffmpegCpuUtilAvg"), 0)::DOUBLE PRECISION AS ffmpeg_cpu_avg_sum,
+    MAX("ffmpegCpuUtilMax")::DOUBLE PRECISION AS ffmpeg_cpu_max,
+    COUNT("ffmpegReadMB")::INTEGER AS ffmpeg_read_samples,
+    COALESCE(SUM("ffmpegReadMB"), 0)::DOUBLE PRECISION AS ffmpeg_read_sum,
+    COUNT("ffmpegWriteMB")::INTEGER AS ffmpeg_write_samples,
+    COALESCE(SUM("ffmpegWriteMB"), 0)::DOUBLE PRECISION AS ffmpeg_write_sum,
+    COUNT("ffmpegCpuTimeS")::INTEGER AS ffmpeg_cpu_time_samples,
+    COALESCE(SUM("ffmpegCpuTimeS"), 0)::DOUBLE PRECISION AS ffmpeg_cpu_time_sum,
+    COUNT("batteryPercentStart")::INTEGER AS battery_start_samples,
+    COALESCE(SUM("batteryPercentStart"), 0)::DOUBLE PRECISION AS battery_start_sum,
+    COUNT("batteryPercentEnd")::INTEGER AS battery_end_samples,
+    COALESCE(SUM("batteryPercentEnd"), 0)::DOUBLE PRECISION AS battery_end_sum,
+    COUNT("batteryPercentDrop")::INTEGER AS battery_drop_samples,
+    COALESCE(SUM("batteryPercentDrop"), 0)::DOUBLE PRECISION AS battery_drop_sum,
+    COUNT("sampleCount")::INTEGER AS sample_count_samples,
+    COALESCE(SUM("sampleCount"::DOUBLE PRECISION), 0)::DOUBLE PRECISION AS sample_count_sum,
+    COUNT("monitorDurationMs")::INTEGER AS monitor_duration_samples,
+    COALESCE(SUM("monitorDurationMs"::DOUBLE PRECISION), 0)::DOUBLE PRECISION AS monitor_duration_sum,
+    (array_agg("powerSource" ORDER BY "createdAt" DESC) FILTER (WHERE "powerSource" IS NOT NULL))[1] AS latest_power_source
+  FROM "Submission"
+  WHERE "status" = 'accepted'
+  GROUP BY
+    "cpuModel",
+    "gpuModel",
+    "ramGB",
+    "os",
+    "codec",
+    "preset",
+    "crf",
+    "contentClass",
+    "resolution",
+    "passes"
+)
+UPDATE "Benchmark" b
+SET
+  "samples" = agg.samples,
+  "fpsSum" = agg.fps_sum,
+  "fileSizeSum" = agg.file_size_sum,
+  "vmafSamples" = agg.vmaf_samples,
+  "vmafSum" = agg.vmaf_sum,
+  "ssimSamples" = agg.ssim_samples,
+  "ssimSum" = agg.ssim_sum,
+  "psnrSamples" = agg.psnr_samples,
+  "psnrSum" = agg.psnr_sum,
+  "gpuUtilSamples" = agg.gpu_util_samples,
+  "gpuUtilSum" = agg.gpu_util_sum,
+  "gpuPowerSamples" = agg.gpu_power_samples,
+  "gpuPowerSum" = agg.gpu_power_sum,
+  "cpuUtilSamples" = agg.cpu_util_samples,
+  "cpuUtilSum" = agg.cpu_util_sum,
+  "peakMemoryMax" = agg.peak_memory_max,
+  "cpuFreqSamples" = agg.cpu_freq_samples,
+  "cpuFreqSum" = agg.cpu_freq_sum,
+  "ffmpegCpuUtilSamples" = agg.ffmpeg_cpu_avg_samples,
+  "ffmpegCpuUtilSum" = agg.ffmpeg_cpu_avg_sum,
+  "ffmpegReadSamples" = agg.ffmpeg_read_samples,
+  "ffmpegReadSum" = agg.ffmpeg_read_sum,
+  "ffmpegWriteSamples" = agg.ffmpeg_write_samples,
+  "ffmpegWriteSum" = agg.ffmpeg_write_sum,
+  "ffmpegCpuTimeSamples" = agg.ffmpeg_cpu_time_samples,
+  "ffmpegCpuTimeSum" = agg.ffmpeg_cpu_time_sum,
+  "batteryStartSamples" = agg.battery_start_samples,
+  "batteryStartSum" = agg.battery_start_sum,
+  "batteryEndSamples" = agg.battery_end_samples,
+  "batteryEndSum" = agg.battery_end_sum,
+  "batteryDropSamples" = agg.battery_drop_samples,
+  "batteryDropSum" = agg.battery_drop_sum,
+  "sampleCountSamples" = agg.sample_count_samples,
+  "sampleCountSum" = agg.sample_count_sum,
+  "monitorDurationSamples" = agg.monitor_duration_samples,
+  "monitorDurationSum" = agg.monitor_duration_sum,
+  "fps" = CASE WHEN agg.samples > 0 THEN agg.fps_sum / agg.samples ELSE b."fps" END,
+  "fileSizeBytes" = CASE WHEN agg.samples > 0 THEN ROUND(agg.file_size_sum / agg.samples)::BIGINT ELSE b."fileSizeBytes" END,
+  "vmaf" = CASE WHEN agg.vmaf_samples > 0 THEN agg.vmaf_sum / agg.vmaf_samples ELSE b."vmaf" END,
+  "ssim" = CASE WHEN agg.ssim_samples > 0 THEN agg.ssim_sum / agg.ssim_samples ELSE b."ssim" END,
+  "psnr" = CASE WHEN agg.psnr_samples > 0 THEN agg.psnr_sum / agg.psnr_samples ELSE b."psnr" END,
+  "gpuUtilAvg" = CASE WHEN agg.gpu_util_samples > 0 THEN agg.gpu_util_sum / agg.gpu_util_samples ELSE b."gpuUtilAvg" END,
+  "gpuPowerAvgW" = CASE WHEN agg.gpu_power_samples > 0 THEN agg.gpu_power_sum / agg.gpu_power_samples ELSE b."gpuPowerAvgW" END,
+  "cpuUtilAvg" = CASE WHEN agg.cpu_util_samples > 0 THEN agg.cpu_util_sum / agg.cpu_util_samples ELSE b."cpuUtilAvg" END,
+  "peakMemoryMB" = COALESCE(agg.peak_memory_max, b."peakMemoryMB"),
+  "thermalThrottle" = COALESCE(agg.thermal_throttle_any, b."thermalThrottle"),
+  "gpuTempMaxC" = COALESCE(agg.gpu_temp_max, b."gpuTempMaxC"),
+  "cpuFreqAvgMHz" = CASE WHEN agg.cpu_freq_samples > 0 THEN agg.cpu_freq_sum / agg.cpu_freq_samples ELSE b."cpuFreqAvgMHz" END,
+  "cpuTempMaxC" = COALESCE(agg.cpu_temp_max, b."cpuTempMaxC"),
+  "ffmpegCpuUtilAvg" = CASE WHEN agg.ffmpeg_cpu_avg_samples > 0 THEN agg.ffmpeg_cpu_avg_sum / agg.ffmpeg_cpu_avg_samples ELSE b."ffmpegCpuUtilAvg" END,
+  "ffmpegCpuUtilMax" = COALESCE(agg.ffmpeg_cpu_max, b."ffmpegCpuUtilMax"),
+  "ffmpegReadMB" = CASE WHEN agg.ffmpeg_read_samples > 0 THEN agg.ffmpeg_read_sum / agg.ffmpeg_read_samples ELSE b."ffmpegReadMB" END,
+  "ffmpegWriteMB" = CASE WHEN agg.ffmpeg_write_samples > 0 THEN agg.ffmpeg_write_sum / agg.ffmpeg_write_samples ELSE b."ffmpegWriteMB" END,
+  "ffmpegCpuTimeS" = CASE WHEN agg.ffmpeg_cpu_time_samples > 0 THEN agg.ffmpeg_cpu_time_sum / agg.ffmpeg_cpu_time_samples ELSE b."ffmpegCpuTimeS" END,
+  "batteryPercentStart" = CASE WHEN agg.battery_start_samples > 0 THEN agg.battery_start_sum / agg.battery_start_samples ELSE b."batteryPercentStart" END,
+  "batteryPercentEnd" = CASE WHEN agg.battery_end_samples > 0 THEN agg.battery_end_sum / agg.battery_end_samples ELSE b."batteryPercentEnd" END,
+  "batteryPercentDrop" = CASE WHEN agg.battery_drop_samples > 0 THEN agg.battery_drop_sum / agg.battery_drop_samples ELSE b."batteryPercentDrop" END,
+  "powerSource" = COALESCE(agg.latest_power_source, b."powerSource"),
+  "sampleCount" = CASE WHEN agg.sample_count_samples > 0 THEN agg.sample_count_sum / agg.sample_count_samples ELSE b."sampleCount" END,
+  "monitorDurationMs" = CASE WHEN agg.monitor_duration_samples > 0 THEN agg.monitor_duration_sum / agg.monitor_duration_samples ELSE b."monitorDurationMs" END,
+  "status" = 'accepted',
+  "updatedAt" = NOW()
+FROM agg
+WHERE b."cpuModel" = agg."cpuModel"
+  AND b."gpuModel" = agg."gpuModel"
+  AND b."ramGB" = agg."ramGB"
+  AND b."os" = agg."os"
+  AND b."codec" = agg."codec"
+  AND b."preset" = agg."preset"
+  AND b."crf" = agg."crf"
+  AND b."contentClass" = agg."contentClass"
+  AND b."resolution" = agg."resolution"
+  AND b."passes" = agg."passes";
+
+DROP FUNCTION IF EXISTS "_try_parse_jsonb"(TEXT);
+
+-- Optional indexes for new telemetry filters/sorting
+CREATE INDEX IF NOT EXISTS "Benchmark_gpuTempMaxC_idx" ON "Benchmark"("gpuTempMaxC");
+CREATE INDEX IF NOT EXISTS "Benchmark_cpuTempMaxC_idx" ON "Benchmark"("cpuTempMaxC");
+CREATE INDEX IF NOT EXISTS "Benchmark_ffmpegCpuUtilAvg_idx" ON "Benchmark"("ffmpegCpuUtilAvg");
diff --git a/server/prisma/schema.prisma b/server/prisma/schema.prisma
index 0246b2a..c6a407c 100644
--- a/server/prisma/schema.prisma
+++ b/server/prisma/schema.prisma
@@ -20,25 +20,93 @@ model Benchmark {
 
   // Hardware info
   cpuModel       String
-  gpuModel       String?
+  gpuModel       String   @default("")
   ramGB          Int
   os             String
 
   // Test parameters
   codec          String
   preset         String
-  crf            Int?
+  crf            Int      @default(24)
+
+  // Multi-content and resolution (Sprint 5)
+  contentClass   String   @default("mixed")
+  resolution     String   @default("1080p")
+  passes         Int      @default(1)
 
   // Results
   fps            Float
   vmaf           Float?
+  ssim           Float?
+  psnr           Float?
   fileSizeBytes  Int
 
   notes          String?
 
+  // Hardware metrics (Sprint 6)
+  gpuUtilAvg      Float?
+  gpuPowerAvgW    Float?
+  gpuMemPeakMB    Float?
+  cpuUtilAvg      Float?
+  cpuUtilMax      Float?
+  peakMemoryMB    Float?
+  thermalThrottle Boolean?
+  // Extended telemetry (Sprint 7)
+  gpuTempMaxC        Float?
+  cpuFreqAvgMHz      Float?
+  cpuTempMaxC        Float?
+  ffmpegCpuUtilAvg   Float?
+  ffmpegCpuUtilMax   Float?
+  ffmpegReadMB       Float?
+  ffmpegWriteMB      Float?
+  ffmpegCpuTimeS     Float?
+  batteryPercentStart Float?
+  batteryPercentEnd   Float?
+  batteryPercentDrop  Float?
+  powerSource        String?
+  sampleCount        Float?
+  monitorDurationMs  Float?
+
   // Aggregation
   samples        Int      @default(0)
   vmafSamples    Int      @default(0)
+  fpsSum         Float    @default(0)
+  fileSizeSum    Float    @default(0)
+  vmafSum        Float    @default(0)
+  ssimSamples    Int      @default(0)
+  ssimSum        Float    @default(0)
+  psnrSamples    Int      @default(0)
+  psnrSum        Float    @default(0)
+
+  // Hardware metrics aggregation (Sprint 6)
+  gpuUtilSamples  Int     @default(0)
+  gpuUtilSum      Float   @default(0)
+  gpuPowerSamples Int     @default(0)
+  gpuPowerSum     Float   @default(0)
+  cpuUtilSamples  Int     @default(0)
+  cpuUtilSum      Float   @default(0)
+  peakMemoryMax   Float?
+  // Extended telemetry aggregation (Sprint 7)
+  cpuFreqSamples         Int   @default(0)
+  cpuFreqSum             Float @default(0)
+  ffmpegCpuUtilSamples   Int   @default(0)
+  ffmpegCpuUtilSum       Float @default(0)
+  ffmpegReadSamples      Int   @default(0)
+  ffmpegReadSum          Float @default(0)
+  ffmpegWriteSamples     Int   @default(0)
+  ffmpegWriteSum         Float @default(0)
+  ffmpegCpuTimeSamples   Int   @default(0)
+  ffmpegCpuTimeSum       Float @default(0)
+  batteryStartSamples    Int   @default(0)
+  batteryStartSum        Float @default(0)
+  batteryEndSamples      Int   @default(0)
+  batteryEndSum          Float @default(0)
+  batteryDropSamples     Int   @default(0)
+  batteryDropSum         Float @default(0)
+  sampleCountSamples     Int   @default(0)
+  sampleCountSum         Float @default(0)
+  monitorDurationSamples Int   @default(0)
+  monitorDurationSum     Float @default(0)
 
   // Submission metadata
   status         String   @default("pending") // pending | accepted | rejected
@@ -57,8 +125,13 @@ model Benchmark {
   @@index([preset])
   @@index([inputHash])
   @@index([codec, preset])
-  // Ensure a single row per hardware/preset/params combination
-  @@unique([cpuModel, gpuModel, ramGB, os, codec, preset, crf])
+  @@index([status, createdAt])
+  @@index([cpuModel])
+  @@index([gpuModel])
+  @@index([contentClass])
+  @@index([resolution])
+  @@index([contentClass, resolution])
+  @@unique([cpuModel, gpuModel, ramGB, os, codec, preset, crf, contentClass, resolution, passes])
 }
 
 model Submission {
@@ -68,21 +141,52 @@ model Submission {
 
   // Hardware info
   cpuModel       String
-  gpuModel       String?
+  gpuModel       String   @default("")
   ramGB          Int
   os             String
 
   // Test parameters
   codec          String
   preset         String
-  crf            Int?
+  crf            Int      @default(24)
+
+  // Multi-content and resolution (Sprint 5)
+  contentClass   String   @default("mixed")
+  resolution     String   @default("1080p")
+  passes         Int      @default(1)
 
   // Results
   fps            Float
   vmaf           Float?
+  ssim           Float?
+  psnr           Float?
   fileSizeBytes  Int
   notes          String?
 
+  // Hardware metrics (Sprint 6)
+  gpuUtilAvg      Float?
+  gpuPowerAvgW    Float?
+  gpuMemPeakMB    Float?
+  cpuUtilAvg      Float?
+  cpuUtilMax      Float?
+  peakMemoryMB    Float?
+  thermalThrottle Boolean?
+  // Extended telemetry (Sprint 7)
+  gpuTempMaxC        Float?
+  cpuFreqAvgMHz      Float?
+  cpuTempMaxC        Float?
+  ffmpegCpuUtilAvg   Float?
+  ffmpegCpuUtilMax   Float?
+  ffmpegReadMB       Float?
+  ffmpegWriteMB      Float?
+  ffmpegCpuTimeS     Float?
+  batteryPercentStart Float?
+  batteryPercentEnd   Float?
+  batteryPercentDrop  Float?
+  powerSource        String?
+  sampleCount        Int?
+  monitorDurationMs  Int?
+
   // Submission metadata
   ffmpegVersion  String?
   encoderName    String?
@@ -102,5 +206,22 @@ model Submission {
   @@index([codec])
   @@index([preset])
   @@index([codec, preset])
-  @@index([cpuModel, gpuModel, ramGB, os, codec, preset, crf])
+  @@index([contentClass])
+  @@index([resolution])
+  @@index([cpuModel, gpuModel, ramGB, os, codec, preset, crf, contentClass, resolution, passes])
+}
+
+model TestVideo {
+  id           String   @id @default(cuid())
+  name         String
+  contentClass String
+  resolution   String
+  duration     Float
+  sha256       String   @unique
+  downloadUrl  String
+  sizeBytes    Int
+  createdAt    DateTime @default(now())
+
+  @@index([contentClass])
+  @@index([contentClass, resolution])
 }
diff --git a/server/src/generated/prisma/client.d.ts b/server/src/generated/prisma/client.d.ts
deleted file mode 100644
index bc20c6c..0000000
--- a/server/src/generated/prisma/client.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from "./index"
\ No newline at end of file
diff --git a/server/src/generated/prisma/client.js b/server/src/generated/prisma/client.js
deleted file mode 100644
index 72afab7..0000000
--- a/server/src/generated/prisma/client.js
+++ /dev/null
@@ -1,4 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-module.exports = { ...require('.') }
\ No newline at end of file
diff --git a/server/src/generated/prisma/default.d.ts b/server/src/generated/prisma/default.d.ts
deleted file mode 100644
index bc20c6c..0000000
--- a/server/src/generated/prisma/default.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from "./index"
\ No newline at end of file
diff --git a/server/src/generated/prisma/default.js b/server/src/generated/prisma/default.js
deleted file mode 100644
index 5bfb0b8..0000000
--- a/server/src/generated/prisma/default.js
+++ /dev/null
@@ -1,4 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-module.exports = { ...require('#main-entry-point') }
\ No newline at end of file
diff --git a/server/src/generated/prisma/edge.d.ts b/server/src/generated/prisma/edge.d.ts
deleted file mode 100644
index 274b8fa..0000000
--- a/server/src/generated/prisma/edge.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from "./default"
\ No newline at end of file
diff --git a/server/src/generated/prisma/edge.js b/server/src/generated/prisma/edge.js
deleted file mode 100644
index 509502c..0000000
--- a/server/src/generated/prisma/edge.js
+++ /dev/null
@@ -1,200 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-
-Object.defineProperty(exports, "__esModule", { value: true });
-
-const {
-  PrismaClientKnownRequestError,
-  PrismaClientUnknownRequestError,
-  PrismaClientRustPanicError,
-  PrismaClientInitializationError,
-  PrismaClientValidationError,
-  getPrismaClient,
-  sqltag,
-  empty,
-  join,
-  raw,
-  skip,
-  Decimal,
-  Debug,
-  objectEnumValues,
-  makeStrictEnum,
-  Extensions,
-  warnOnce,
-  defineDmmfProperty,
-  Public,
-  getRuntime,
-  createParam,
-} = require('./runtime/edge.js')
-
-
-const Prisma = {}
-
-exports.Prisma = Prisma
-exports.$Enums = {}
-
-/**
- * Prisma Client JS version: 6.16.3
- * Query Engine version: bb420e667c1820a8c05a38023385f6cc7ef8e83a
- */
-Prisma.prismaVersion = {
-  client: "6.16.3",
-  engine: "bb420e667c1820a8c05a38023385f6cc7ef8e83a"
-}
-
-Prisma.PrismaClientKnownRequestError = PrismaClientKnownRequestError;
-Prisma.PrismaClientUnknownRequestError = PrismaClientUnknownRequestError
-Prisma.PrismaClientRustPanicError = PrismaClientRustPanicError
-Prisma.PrismaClientInitializationError = PrismaClientInitializationError
-Prisma.PrismaClientValidationError = PrismaClientValidationError
-Prisma.Decimal = Decimal
-
-/**
- * Re-export of sql-template-tag
- */
-Prisma.sql = sqltag
-Prisma.empty = empty
-Prisma.join = join
-Prisma.raw = raw
-Prisma.validator = Public.validator
-
-/**
-* Extensions
-*/
-Prisma.getExtensionContext = Extensions.getExtensionContext
-Prisma.defineExtension = Extensions.defineExtension
-
-/**
- * Shorthand utilities for JSON filtering
- */
-Prisma.DbNull = objectEnumValues.instances.DbNull
-Prisma.JsonNull = objectEnumValues.instances.JsonNull
-Prisma.AnyNull = objectEnumValues.instances.AnyNull
-
-Prisma.NullTypes = {
-  DbNull: objectEnumValues.classes.DbNull,
-  JsonNull: objectEnumValues.classes.JsonNull,
-  AnyNull: objectEnumValues.classes.AnyNull
-}
-
-
-
-
-
-/**
- * Enums
- */
-exports.Prisma.TransactionIsolationLevel = makeStrictEnum({
-  ReadUncommitted: 'ReadUncommitted',
-  ReadCommitted: 'ReadCommitted',
-  RepeatableRead: 'RepeatableRead',
-  Serializable: 'Serializable'
-});
-
-exports.Prisma.BenchmarkScalarFieldEnum = {
-  id: 'id',
-  createdAt: 'createdAt',
-  cpuModel: 'cpuModel',
-  gpuModel: 'gpuModel',
-  ramGB: 'ramGB',
-  os: 'os',
-  codec: 'codec',
-  preset: 'preset',
-  fps: 'fps',
-  vmaf: 'vmaf',
-  fileSizeBytes: 'fileSizeBytes',
-  notes: 'notes'
-};
-
-exports.Prisma.SortOrder = {
-  asc: 'asc',
-  desc: 'desc'
-};
-
-exports.Prisma.QueryMode = {
-  default: 'default',
-  insensitive: 'insensitive'
-};
-
-exports.Prisma.NullsOrder = {
-  first: 'first',
-  last: 'last'
-};
-
-
-exports.Prisma.ModelName = {
-  Benchmark: 'Benchmark'
-};
-/**
- * Create the Client
- */
-const config = {
-  "generator": {
-    "name": "client",
-    "provider": {
-      "fromEnvVar": null,
-      "value": "prisma-client-js"
-    },
-    "output": {
-      "value": "/Users/ofhd/Developer/Encoding_Database/server/src/generated/prisma",
-      "fromEnvVar": null
-    },
-    "config": {
-      "engineType": "library"
-    },
-    "binaryTargets": [
-      {
-        "fromEnvVar": null,
-        "value": "darwin-arm64",
-        "native": true
-      }
-    ],
-    "previewFeatures": [],
-    "sourceFilePath": "/Users/ofhd/Developer/Encoding_Database/server/prisma/schema.prisma",
-    "isCustomOutput": true
-  },
-  "relativeEnvPaths": {
-    "rootEnvPath": null,
-    "schemaEnvPath": "../../../.env"
-  },
-  "relativePath": "../../../prisma",
-  "clientVersion": "6.16.3",
-  "engineVersion": "bb420e667c1820a8c05a38023385f6cc7ef8e83a",
-  "datasourceNames": [
-    "db"
-  ],
-  "activeProvider": "postgresql",
-  "inlineDatasources": {
-    "db": {
-      "url": {
-        "fromEnvVar": "DATABASE_URL",
-        "value": null
-      }
-    }
-  },
-  "inlineSchema": "// This is your Prisma schema file,\n// learn more about it in the docs: https://pris.ly/d/prisma-schema\n\n// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?\n// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init\n\ngenerator client {\n  provider = \"prisma-client-js\"\n  output   = \"../src/generated/prisma\"\n}\n\ndatasource db {\n  provider = \"postgresql\"\n  url      = env(\"DATABASE_URL\")\n}\n\nmodel Benchmark {\n  id        String   @id @default(cuid())\n  createdAt DateTime @default(now())\n\n  // Hardware info\n  cpuModel String\n  gpuModel String?\n  ramGB    Int\n  os       String\n\n  // Test parameters\n  codec  String\n  preset String\n\n  // Results\n  fps           Float\n  vmaf          Float?\n  fileSizeBytes Int\n\n  notes String?\n}\n",
-  "inlineSchemaHash": "0b4063a64cc80968a4cd079df98a39d02545d0a08e8124ec46cf7be4e862960d",
-  "copyEngine": true
-}
-config.dirname = '/'
-
-config.runtimeDataModel = JSON.parse("{\"models\":{\"Benchmark\":{\"dbName\":null,\"schema\":null,\"fields\":[{\"name\":\"id\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":true,\"isReadOnly\":false,\"hasDefaultValue\":true,\"type\":\"String\",\"nativeType\":null,\"default\":{\"name\":\"cuid\",\"args\":[1]},\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"createdAt\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":true,\"type\":\"DateTime\",\"nativeType\":null,\"default\":{\"name\":\"now\",\"args\":[]},\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"cpuModel\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"gpuModel\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"ramGB\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Int\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"os\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"codec\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"preset\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"fps\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Float\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"vmaf\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Float\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"fileSizeBytes\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Int\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"notes\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false}],\"primaryKey\":null,\"uniqueFields\":[],\"uniqueIndexes\":[],\"isGenerated\":false}},\"enums\":{},\"types\":{}}")
-defineDmmfProperty(exports.Prisma, config.runtimeDataModel)
-config.engineWasm = undefined
-config.compilerWasm = undefined
-
-config.injectableEdgeEnv = () => ({
-  parsed: {
-    DATABASE_URL: typeof globalThis !== 'undefined' && globalThis['DATABASE_URL'] || typeof process !== 'undefined' && process.env && process.env.DATABASE_URL || undefined
-  }
-})
-
-if (typeof globalThis !== 'undefined' && globalThis['DEBUG'] || typeof process !== 'undefined' && process.env && process.env.DEBUG || undefined) {
-  Debug.enable(typeof globalThis !== 'undefined' && globalThis['DEBUG'] || typeof process !== 'undefined' && process.env && process.env.DEBUG || undefined)
-}
-
-const PrismaClient = getPrismaClient(config)
-exports.PrismaClient = PrismaClient
-Object.assign(exports, Prisma)
-
diff --git a/server/src/generated/prisma/index-browser.js b/server/src/generated/prisma/index-browser.js
deleted file mode 100644
index 78e61aa..0000000
--- a/server/src/generated/prisma/index-browser.js
+++ /dev/null
@@ -1,187 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-
-Object.defineProperty(exports, "__esModule", { value: true });
-
-const {
-  Decimal,
-  objectEnumValues,
-  makeStrictEnum,
-  Public,
-  getRuntime,
-  skip
-} = require('./runtime/index-browser.js')
-
-
-const Prisma = {}
-
-exports.Prisma = Prisma
-exports.$Enums = {}
-
-/**
- * Prisma Client JS version: 6.16.3
- * Query Engine version: bb420e667c1820a8c05a38023385f6cc7ef8e83a
- */
-Prisma.prismaVersion = {
-  client: "6.16.3",
-  engine: "bb420e667c1820a8c05a38023385f6cc7ef8e83a"
-}
-
-Prisma.PrismaClientKnownRequestError = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`PrismaClientKnownRequestError is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)};
-Prisma.PrismaClientUnknownRequestError = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`PrismaClientUnknownRequestError is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.PrismaClientRustPanicError = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`PrismaClientRustPanicError is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.PrismaClientInitializationError = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`PrismaClientInitializationError is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.PrismaClientValidationError = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`PrismaClientValidationError is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.Decimal = Decimal
-
-/**
- * Re-export of sql-template-tag
- */
-Prisma.sql = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`sqltag is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.empty = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`empty is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.join = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`join is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.raw = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`raw is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.validator = Public.validator
-
-/**
-* Extensions
-*/
-Prisma.getExtensionContext = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`Extensions.getExtensionContext is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-Prisma.defineExtension = () => {
-  const runtimeName = getRuntime().prettyName;
-  throw new Error(`Extensions.defineExtension is unable to run in this browser environment, or has been bundled for the browser (running in ${runtimeName}).
-In case this error is unexpected for you, please report it in https://pris.ly/prisma-prisma-bug-report`,
-)}
-
-/**
- * Shorthand utilities for JSON filtering
- */
-Prisma.DbNull = objectEnumValues.instances.DbNull
-Prisma.JsonNull = objectEnumValues.instances.JsonNull
-Prisma.AnyNull = objectEnumValues.instances.AnyNull
-
-Prisma.NullTypes = {
-  DbNull: objectEnumValues.classes.DbNull,
-  JsonNull: objectEnumValues.classes.JsonNull,
-  AnyNull: objectEnumValues.classes.AnyNull
-}
-
-
-
-/**
- * Enums
- */
-
-exports.Prisma.TransactionIsolationLevel = makeStrictEnum({
-  ReadUncommitted: 'ReadUncommitted',
-  ReadCommitted: 'ReadCommitted',
-  RepeatableRead: 'RepeatableRead',
-  Serializable: 'Serializable'
-});
-
-exports.Prisma.BenchmarkScalarFieldEnum = {
-  id: 'id',
-  createdAt: 'createdAt',
-  cpuModel: 'cpuModel',
-  gpuModel: 'gpuModel',
-  ramGB: 'ramGB',
-  os: 'os',
-  codec: 'codec',
-  preset: 'preset',
-  fps: 'fps',
-  vmaf: 'vmaf',
-  fileSizeBytes: 'fileSizeBytes',
-  notes: 'notes'
-};
-
-exports.Prisma.SortOrder = {
-  asc: 'asc',
-  desc: 'desc'
-};
-
-exports.Prisma.QueryMode = {
-  default: 'default',
-  insensitive: 'insensitive'
-};
-
-exports.Prisma.NullsOrder = {
-  first: 'first',
-  last: 'last'
-};
-
-
-exports.Prisma.ModelName = {
-  Benchmark: 'Benchmark'
-};
-
-/**
- * This is a stub Prisma Client that will error at runtime if called.
- */
-class PrismaClient {
-  constructor() {
-    return new Proxy(this, {
-      get(target, prop) {
-        let message
-        const runtime = getRuntime()
-        if (runtime.isEdge) {
-          message = `PrismaClient is not configured to run in ${runtime.prettyName}. In order to run Prisma Client on edge runtime, either:
-- Use Prisma Accelerate: https://pris.ly/d/accelerate
-- Use Driver Adapters: https://pris.ly/d/driver-adapters
-`;
-        } else {
-          message = 'PrismaClient is unable to run in this browser environment, or has been bundled for the browser (running in `' + runtime.prettyName + '`).'
-        }
-
-        message += `
-If this is unexpected, please open an issue: https://pris.ly/prisma-prisma-bug-report`
-
-        throw new Error(message)
-      }
-    })
-  }
-}
-
-exports.PrismaClient = PrismaClient
-
-Object.assign(exports, Prisma)
diff --git a/server/src/generated/prisma/index.d.ts b/server/src/generated/prisma/index.d.ts
deleted file mode 100644
index f8ea833..0000000
--- a/server/src/generated/prisma/index.d.ts
+++ /dev/null
@@ -1,2774 +0,0 @@
-
-/**
- * Client
-**/
-
-import * as runtime from './runtime/library.js';
-import $Types = runtime.Types // general types
-import $Public = runtime.Types.Public
-import $Utils = runtime.Types.Utils
-import $Extensions = runtime.Types.Extensions
-import $Result = runtime.Types.Result
-
-export type PrismaPromise<T> = $Public.PrismaPromise<T>
-
-
-/**
- * Model Benchmark
- * 
- */
-export type Benchmark = $Result.DefaultSelection<Prisma.$BenchmarkPayload>
-
-/**
- * ##  Prisma Client ʲˢ
- *
- * Type-safe database client for TypeScript & Node.js
- * @example
- * ```
- * const prisma = new PrismaClient()
- * // Fetch zero or more Benchmarks
- * const benchmarks = await prisma.benchmark.findMany()
- * ```
- *
- *
- * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client).
- */
-export class PrismaClient<
-  ClientOptions extends Prisma.PrismaClientOptions = Prisma.PrismaClientOptions,
-  const U = 'log' extends keyof ClientOptions ? ClientOptions['log'] extends Array<Prisma.LogLevel | Prisma.LogDefinition> ? Prisma.GetEvents<ClientOptions['log']> : never : never,
-  ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs
-> {
-  [K: symbol]: { types: Prisma.TypeMap<ExtArgs>['other'] }
-
-    /**
-   * ##  Prisma Client ʲˢ
-   *
-   * Type-safe database client for TypeScript & Node.js
-   * @example
-   * ```
-   * const prisma = new PrismaClient()
-   * // Fetch zero or more Benchmarks
-   * const benchmarks = await prisma.benchmark.findMany()
-   * ```
-   *
-   *
-   * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client).
-   */
-
-  constructor(optionsArg ?: Prisma.Subset<ClientOptions, Prisma.PrismaClientOptions>);
-  $on<V extends U>(eventType: V, callback: (event: V extends 'query' ? Prisma.QueryEvent : Prisma.LogEvent) => void): PrismaClient;
-
-  /**
-   * Connect with the database
-   */
-  $connect(): $Utils.JsPromise<void>;
-
-  /**
-   * Disconnect from the database
-   */
-  $disconnect(): $Utils.JsPromise<void>;
-
-/**
-   * Executes a prepared raw query and returns the number of affected rows.
-   * @example
-   * ```
-   * const result = await prisma.$executeRaw`UPDATE User SET cool = ${true} WHERE email = ${'user@email.com'};`
-   * ```
-   *
-   * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/raw-database-access).
-   */
-  $executeRaw<T = unknown>(query: TemplateStringsArray | Prisma.Sql, ...values: any[]): Prisma.PrismaPromise<number>;
-
-  /**
-   * Executes a raw query and returns the number of affected rows.
-   * Susceptible to SQL injections, see documentation.
-   * @example
-   * ```
-   * const result = await prisma.$executeRawUnsafe('UPDATE User SET cool = $1 WHERE email = $2 ;', true, 'user@email.com')
-   * ```
-   *
-   * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/raw-database-access).
-   */
-  $executeRawUnsafe<T = unknown>(query: string, ...values: any[]): Prisma.PrismaPromise<number>;
-
-  /**
-   * Performs a prepared raw query and returns the `SELECT` data.
-   * @example
-   * ```
-   * const result = await prisma.$queryRaw`SELECT * FROM User WHERE id = ${1} OR email = ${'user@email.com'};`
-   * ```
-   *
-   * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/raw-database-access).
-   */
-  $queryRaw<T = unknown>(query: TemplateStringsArray | Prisma.Sql, ...values: any[]): Prisma.PrismaPromise<T>;
-
-  /**
-   * Performs a raw query and returns the `SELECT` data.
-   * Susceptible to SQL injections, see documentation.
-   * @example
-   * ```
-   * const result = await prisma.$queryRawUnsafe('SELECT * FROM User WHERE id = $1 OR email = $2;', 1, 'user@email.com')
-   * ```
-   *
-   * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/raw-database-access).
-   */
-  $queryRawUnsafe<T = unknown>(query: string, ...values: any[]): Prisma.PrismaPromise<T>;
-
-
-  /**
-   * Allows the running of a sequence of read/write operations that are guaranteed to either succeed or fail as a whole.
-   * @example
-   * ```
-   * const [george, bob, alice] = await prisma.$transaction([
-   *   prisma.user.create({ data: { name: 'George' } }),
-   *   prisma.user.create({ data: { name: 'Bob' } }),
-   *   prisma.user.create({ data: { name: 'Alice' } }),
-   * ])
-   * ```
-   * 
-   * Read more in our [docs](https://www.prisma.io/docs/concepts/components/prisma-client/transactions).
-   */
-  $transaction<P extends Prisma.PrismaPromise<any>[]>(arg: [...P], options?: { isolationLevel?: Prisma.TransactionIsolationLevel }): $Utils.JsPromise<runtime.Types.Utils.UnwrapTuple<P>>
-
-  $transaction<R>(fn: (prisma: Omit<PrismaClient, runtime.ITXClientDenyList>) => $Utils.JsPromise<R>, options?: { maxWait?: number, timeout?: number, isolationLevel?: Prisma.TransactionIsolationLevel }): $Utils.JsPromise<R>
-
-
-  $extends: $Extensions.ExtendsHook<"extends", Prisma.TypeMapCb<ClientOptions>, ExtArgs, $Utils.Call<Prisma.TypeMapCb<ClientOptions>, {
-    extArgs: ExtArgs
-  }>>
-
-      /**
-   * `prisma.benchmark`: Exposes CRUD operations for the **Benchmark** model.
-    * Example usage:
-    * ```ts
-    * // Fetch zero or more Benchmarks
-    * const benchmarks = await prisma.benchmark.findMany()
-    * ```
-    */
-  get benchmark(): Prisma.BenchmarkDelegate<ExtArgs, ClientOptions>;
-}
-
-export namespace Prisma {
-  export import DMMF = runtime.DMMF
-
-  export type PrismaPromise<T> = $Public.PrismaPromise<T>
-
-  /**
-   * Validator
-   */
-  export import validator = runtime.Public.validator
-
-  /**
-   * Prisma Errors
-   */
-  export import PrismaClientKnownRequestError = runtime.PrismaClientKnownRequestError
-  export import PrismaClientUnknownRequestError = runtime.PrismaClientUnknownRequestError
-  export import PrismaClientRustPanicError = runtime.PrismaClientRustPanicError
-  export import PrismaClientInitializationError = runtime.PrismaClientInitializationError
-  export import PrismaClientValidationError = runtime.PrismaClientValidationError
-
-  /**
-   * Re-export of sql-template-tag
-   */
-  export import sql = runtime.sqltag
-  export import empty = runtime.empty
-  export import join = runtime.join
-  export import raw = runtime.raw
-  export import Sql = runtime.Sql
-
-
-
-  /**
-   * Decimal.js
-   */
-  export import Decimal = runtime.Decimal
-
-  export type DecimalJsLike = runtime.DecimalJsLike
-
-  /**
-   * Metrics
-   */
-  export type Metrics = runtime.Metrics
-  export type Metric<T> = runtime.Metric<T>
-  export type MetricHistogram = runtime.MetricHistogram
-  export type MetricHistogramBucket = runtime.MetricHistogramBucket
-
-  /**
-  * Extensions
-  */
-  export import Extension = $Extensions.UserArgs
-  export import getExtensionContext = runtime.Extensions.getExtensionContext
-  export import Args = $Public.Args
-  export import Payload = $Public.Payload
-  export import Result = $Public.Result
-  export import Exact = $Public.Exact
-
-  /**
-   * Prisma Client JS version: 6.16.3
-   * Query Engine version: bb420e667c1820a8c05a38023385f6cc7ef8e83a
-   */
-  export type PrismaVersion = {
-    client: string
-  }
-
-  export const prismaVersion: PrismaVersion
-
-  /**
-   * Utility Types
-   */
-
-
-  export import JsonObject = runtime.JsonObject
-  export import JsonArray = runtime.JsonArray
-  export import JsonValue = runtime.JsonValue
-  export import InputJsonObject = runtime.InputJsonObject
-  export import InputJsonArray = runtime.InputJsonArray
-  export import InputJsonValue = runtime.InputJsonValue
-
-  /**
-   * Types of the values used to represent different kinds of `null` values when working with JSON fields.
-   *
-   * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-   */
-  namespace NullTypes {
-    /**
-    * Type of `Prisma.DbNull`.
-    *
-    * You cannot use other instances of this class. Please use the `Prisma.DbNull` value.
-    *
-    * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-    */
-    class DbNull {
-      private DbNull: never
-      private constructor()
-    }
-
-    /**
-    * Type of `Prisma.JsonNull`.
-    *
-    * You cannot use other instances of this class. Please use the `Prisma.JsonNull` value.
-    *
-    * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-    */
-    class JsonNull {
-      private JsonNull: never
-      private constructor()
-    }
-
-    /**
-    * Type of `Prisma.AnyNull`.
-    *
-    * You cannot use other instances of this class. Please use the `Prisma.AnyNull` value.
-    *
-    * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-    */
-    class AnyNull {
-      private AnyNull: never
-      private constructor()
-    }
-  }
-
-  /**
-   * Helper for filtering JSON entries that have `null` on the database (empty on the db)
-   *
-   * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-   */
-  export const DbNull: NullTypes.DbNull
-
-  /**
-   * Helper for filtering JSON entries that have JSON `null` values (not empty on the db)
-   *
-   * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-   */
-  export const JsonNull: NullTypes.JsonNull
-
-  /**
-   * Helper for filtering JSON entries that are `Prisma.DbNull` or `Prisma.JsonNull`
-   *
-   * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-on-a-json-field
-   */
-  export const AnyNull: NullTypes.AnyNull
-
-  type SelectAndInclude = {
-    select: any
-    include: any
-  }
-
-  type SelectAndOmit = {
-    select: any
-    omit: any
-  }
-
-  /**
-   * Get the type of the value, that the Promise holds.
-   */
-  export type PromiseType<T extends PromiseLike<any>> = T extends PromiseLike<infer U> ? U : T;
-
-  /**
-   * Get the return type of a function which returns a Promise.
-   */
-  export type PromiseReturnType<T extends (...args: any) => $Utils.JsPromise<any>> = PromiseType<ReturnType<T>>
-
-  /**
-   * From T, pick a set of properties whose keys are in the union K
-   */
-  type Prisma__Pick<T, K extends keyof T> = {
-      [P in K]: T[P];
-  };
-
-
-  export type Enumerable<T> = T | Array<T>;
-
-  export type RequiredKeys<T> = {
-    [K in keyof T]-?: {} extends Prisma__Pick<T, K> ? never : K
-  }[keyof T]
-
-  export type TruthyKeys<T> = keyof {
-    [K in keyof T as T[K] extends false | undefined | null ? never : K]: K
-  }
-
-  export type TrueKeys<T> = TruthyKeys<Prisma__Pick<T, RequiredKeys<T>>>
-
-  /**
-   * Subset
-   * @desc From `T` pick properties that exist in `U`. Simple version of Intersection
-   */
-  export type Subset<T, U> = {
-    [key in keyof T]: key extends keyof U ? T[key] : never;
-  };
-
-  /**
-   * SelectSubset
-   * @desc From `T` pick properties that exist in `U`. Simple version of Intersection.
-   * Additionally, it validates, if both select and include are present. If the case, it errors.
-   */
-  export type SelectSubset<T, U> = {
-    [key in keyof T]: key extends keyof U ? T[key] : never
-  } &
-    (T extends SelectAndInclude
-      ? 'Please either choose `select` or `include`.'
-      : T extends SelectAndOmit
-        ? 'Please either choose `select` or `omit`.'
-        : {})
-
-  /**
-   * Subset + Intersection
-   * @desc From `T` pick properties that exist in `U` and intersect `K`
-   */
-  export type SubsetIntersection<T, U, K> = {
-    [key in keyof T]: key extends keyof U ? T[key] : never
-  } &
-    K
-
-  type Without<T, U> = { [P in Exclude<keyof T, keyof U>]?: never };
-
-  /**
-   * XOR is needed to have a real mutually exclusive union type
-   * https://stackoverflow.com/questions/42123407/does-typescript-support-mutually-exclusive-types
-   */
-  type XOR<T, U> =
-    T extends object ?
-    U extends object ?
-      (Without<T, U> & U) | (Without<U, T> & T)
-    : U : T
-
-
-  /**
-   * Is T a Record?
-   */
-  type IsObject<T extends any> = T extends Array<any>
-  ? False
-  : T extends Date
-  ? False
-  : T extends Uint8Array
-  ? False
-  : T extends BigInt
-  ? False
-  : T extends object
-  ? True
-  : False
-
-
-  /**
-   * If it's T[], return T
-   */
-  export type UnEnumerate<T extends unknown> = T extends Array<infer U> ? U : T
-
-  /**
-   * From ts-toolbelt
-   */
-
-  type __Either<O extends object, K extends Key> = Omit<O, K> &
-    {
-      // Merge all but K
-      [P in K]: Prisma__Pick<O, P & keyof O> // With K possibilities
-    }[K]
-
-  type EitherStrict<O extends object, K extends Key> = Strict<__Either<O, K>>
-
-  type EitherLoose<O extends object, K extends Key> = ComputeRaw<__Either<O, K>>
-
-  type _Either<
-    O extends object,
-    K extends Key,
-    strict extends Boolean
-  > = {
-    1: EitherStrict<O, K>
-    0: EitherLoose<O, K>
-  }[strict]
-
-  type Either<
-    O extends object,
-    K extends Key,
-    strict extends Boolean = 1
-  > = O extends unknown ? _Either<O, K, strict> : never
-
-  export type Union = any
-
-  type PatchUndefined<O extends object, O1 extends object> = {
-    [K in keyof O]: O[K] extends undefined ? At<O1, K> : O[K]
-  } & {}
-
-  /** Helper Types for "Merge" **/
-  export type IntersectOf<U extends Union> = (
-    U extends unknown ? (k: U) => void : never
-  ) extends (k: infer I) => void
-    ? I
-    : never
-
-  export type Overwrite<O extends object, O1 extends object> = {
-      [K in keyof O]: K extends keyof O1 ? O1[K] : O[K];
-  } & {};
-
-  type _Merge<U extends object> = IntersectOf<Overwrite<U, {
-      [K in keyof U]-?: At<U, K>;
-  }>>;
-
-  type Key = string | number | symbol;
-  type AtBasic<O extends object, K extends Key> = K extends keyof O ? O[K] : never;
-  type AtStrict<O extends object, K extends Key> = O[K & keyof O];
-  type AtLoose<O extends object, K extends Key> = O extends unknown ? AtStrict<O, K> : never;
-  export type At<O extends object, K extends Key, strict extends Boolean = 1> = {
-      1: AtStrict<O, K>;
-      0: AtLoose<O, K>;
-  }[strict];
-
-  export type ComputeRaw<A extends any> = A extends Function ? A : {
-    [K in keyof A]: A[K];
-  } & {};
-
-  export type OptionalFlat<O> = {
-    [K in keyof O]?: O[K];
-  } & {};
-
-  type _Record<K extends keyof any, T> = {
-    [P in K]: T;
-  };
-
-  // cause typescript not to expand types and preserve names
-  type NoExpand<T> = T extends unknown ? T : never;
-
-  // this type assumes the passed object is entirely optional
-  type AtLeast<O extends object, K extends string> = NoExpand<
-    O extends unknown
-    ? | (K extends keyof O ? { [P in K]: O[P] } & O : O)
-      | {[P in keyof O as P extends K ? P : never]-?: O[P]} & O
-    : never>;
-
-  type _Strict<U, _U = U> = U extends unknown ? U & OptionalFlat<_Record<Exclude<Keys<_U>, keyof U>, never>> : never;
-
-  export type Strict<U extends object> = ComputeRaw<_Strict<U>>;
-  /** End Helper Types for "Merge" **/
-
-  export type Merge<U extends object> = ComputeRaw<_Merge<Strict<U>>>;
-
-  /**
-  A [[Boolean]]
-  */
-  export type Boolean = True | False
-
-  // /**
-  // 1
-  // */
-  export type True = 1
-
-  /**
-  0
-  */
-  export type False = 0
-
-  export type Not<B extends Boolean> = {
-    0: 1
-    1: 0
-  }[B]
-
-  export type Extends<A1 extends any, A2 extends any> = [A1] extends [never]
-    ? 0 // anything `never` is false
-    : A1 extends A2
-    ? 1
-    : 0
-
-  export type Has<U extends Union, U1 extends Union> = Not<
-    Extends<Exclude<U1, U>, U1>
-  >
-
-  export type Or<B1 extends Boolean, B2 extends Boolean> = {
-    0: {
-      0: 0
-      1: 1
-    }
-    1: {
-      0: 1
-      1: 1
-    }
-  }[B1][B2]
-
-  export type Keys<U extends Union> = U extends unknown ? keyof U : never
-
-  type Cast<A, B> = A extends B ? A : B;
-
-  export const type: unique symbol;
-
-
-
-  /**
-   * Used by group by
-   */
-
-  export type GetScalarType<T, O> = O extends object ? {
-    [P in keyof T]: P extends keyof O
-      ? O[P]
-      : never
-  } : never
-
-  type FieldPaths<
-    T,
-    U = Omit<T, '_avg' | '_sum' | '_count' | '_min' | '_max'>
-  > = IsObject<T> extends True ? U : T
-
-  type GetHavingFields<T> = {
-    [K in keyof T]: Or<
-      Or<Extends<'OR', K>, Extends<'AND', K>>,
-      Extends<'NOT', K>
-    > extends True
-      ? // infer is only needed to not hit TS limit
-        // based on the brilliant idea of Pierre-Antoine Mills
-        // https://github.com/microsoft/TypeScript/issues/30188#issuecomment-478938437
-        T[K] extends infer TK
-        ? GetHavingFields<UnEnumerate<TK> extends object ? Merge<UnEnumerate<TK>> : never>
-        : never
-      : {} extends FieldPaths<T[K]>
-      ? never
-      : K
-  }[keyof T]
-
-  /**
-   * Convert tuple to union
-   */
-  type _TupleToUnion<T> = T extends (infer E)[] ? E : never
-  type TupleToUnion<K extends readonly any[]> = _TupleToUnion<K>
-  type MaybeTupleToUnion<T> = T extends any[] ? TupleToUnion<T> : T
-
-  /**
-   * Like `Pick`, but additionally can also accept an array of keys
-   */
-  type PickEnumerable<T, K extends Enumerable<keyof T> | keyof T> = Prisma__Pick<T, MaybeTupleToUnion<K>>
-
-  /**
-   * Exclude all keys with underscores
-   */
-  type ExcludeUnderscoreKeys<T extends string> = T extends `_${string}` ? never : T
-
-
-  export type FieldRef<Model, FieldType> = runtime.FieldRef<Model, FieldType>
-
-  type FieldRefInputType<Model, FieldType> = Model extends never ? never : FieldRef<Model, FieldType>
-
-
-  export const ModelName: {
-    Benchmark: 'Benchmark'
-  };
-
-  export type ModelName = (typeof ModelName)[keyof typeof ModelName]
-
-
-  export type Datasources = {
-    db?: Datasource
-  }
-
-  interface TypeMapCb<ClientOptions = {}> extends $Utils.Fn<{extArgs: $Extensions.InternalArgs }, $Utils.Record<string, any>> {
-    returns: Prisma.TypeMap<this['params']['extArgs'], ClientOptions extends { omit: infer OmitOptions } ? OmitOptions : {}>
-  }
-
-  export type TypeMap<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs, GlobalOmitOptions = {}> = {
-    globalOmitOptions: {
-      omit: GlobalOmitOptions
-    }
-    meta: {
-      modelProps: "benchmark"
-      txIsolationLevel: Prisma.TransactionIsolationLevel
-    }
-    model: {
-      Benchmark: {
-        payload: Prisma.$BenchmarkPayload<ExtArgs>
-        fields: Prisma.BenchmarkFieldRefs
-        operations: {
-          findUnique: {
-            args: Prisma.BenchmarkFindUniqueArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload> | null
-          }
-          findUniqueOrThrow: {
-            args: Prisma.BenchmarkFindUniqueOrThrowArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          findFirst: {
-            args: Prisma.BenchmarkFindFirstArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload> | null
-          }
-          findFirstOrThrow: {
-            args: Prisma.BenchmarkFindFirstOrThrowArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          findMany: {
-            args: Prisma.BenchmarkFindManyArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>[]
-          }
-          create: {
-            args: Prisma.BenchmarkCreateArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          createMany: {
-            args: Prisma.BenchmarkCreateManyArgs<ExtArgs>
-            result: BatchPayload
-          }
-          createManyAndReturn: {
-            args: Prisma.BenchmarkCreateManyAndReturnArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>[]
-          }
-          delete: {
-            args: Prisma.BenchmarkDeleteArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          update: {
-            args: Prisma.BenchmarkUpdateArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          deleteMany: {
-            args: Prisma.BenchmarkDeleteManyArgs<ExtArgs>
-            result: BatchPayload
-          }
-          updateMany: {
-            args: Prisma.BenchmarkUpdateManyArgs<ExtArgs>
-            result: BatchPayload
-          }
-          updateManyAndReturn: {
-            args: Prisma.BenchmarkUpdateManyAndReturnArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>[]
-          }
-          upsert: {
-            args: Prisma.BenchmarkUpsertArgs<ExtArgs>
-            result: $Utils.PayloadToResult<Prisma.$BenchmarkPayload>
-          }
-          aggregate: {
-            args: Prisma.BenchmarkAggregateArgs<ExtArgs>
-            result: $Utils.Optional<AggregateBenchmark>
-          }
-          groupBy: {
-            args: Prisma.BenchmarkGroupByArgs<ExtArgs>
-            result: $Utils.Optional<BenchmarkGroupByOutputType>[]
-          }
-          count: {
-            args: Prisma.BenchmarkCountArgs<ExtArgs>
-            result: $Utils.Optional<BenchmarkCountAggregateOutputType> | number
-          }
-        }
-      }
-    }
-  } & {
-    other: {
-      payload: any
-      operations: {
-        $executeRaw: {
-          args: [query: TemplateStringsArray | Prisma.Sql, ...values: any[]],
-          result: any
-        }
-        $executeRawUnsafe: {
-          args: [query: string, ...values: any[]],
-          result: any
-        }
-        $queryRaw: {
-          args: [query: TemplateStringsArray | Prisma.Sql, ...values: any[]],
-          result: any
-        }
-        $queryRawUnsafe: {
-          args: [query: string, ...values: any[]],
-          result: any
-        }
-      }
-    }
-  }
-  export const defineExtension: $Extensions.ExtendsHook<"define", Prisma.TypeMapCb, $Extensions.DefaultArgs>
-  export type DefaultPrismaClient = PrismaClient
-  export type ErrorFormat = 'pretty' | 'colorless' | 'minimal'
-  export interface PrismaClientOptions {
-    /**
-     * Overwrites the datasource url from your schema.prisma file
-     */
-    datasources?: Datasources
-    /**
-     * Overwrites the datasource url from your schema.prisma file
-     */
-    datasourceUrl?: string
-    /**
-     * @default "colorless"
-     */
-    errorFormat?: ErrorFormat
-    /**
-     * @example
-     * ```
-     * // Shorthand for `emit: 'stdout'`
-     * log: ['query', 'info', 'warn', 'error']
-     * 
-     * // Emit as events only
-     * log: [
-     *   { emit: 'event', level: 'query' },
-     *   { emit: 'event', level: 'info' },
-     *   { emit: 'event', level: 'warn' }
-     *   { emit: 'event', level: 'error' }
-     * ]
-     * 
-     * / Emit as events and log to stdout
-     * og: [
-     *  { emit: 'stdout', level: 'query' },
-     *  { emit: 'stdout', level: 'info' },
-     *  { emit: 'stdout', level: 'warn' }
-     *  { emit: 'stdout', level: 'error' }
-     * 
-     * ```
-     * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/logging#the-log-option).
-     */
-    log?: (LogLevel | LogDefinition)[]
-    /**
-     * The default values for transactionOptions
-     * maxWait ?= 2000
-     * timeout ?= 5000
-     */
-    transactionOptions?: {
-      maxWait?: number
-      timeout?: number
-      isolationLevel?: Prisma.TransactionIsolationLevel
-    }
-    /**
-     * Instance of a Driver Adapter, e.g., like one provided by `@prisma/adapter-planetscale`
-     */
-    adapter?: runtime.SqlDriverAdapterFactory | null
-    /**
-     * Global configuration for omitting model fields by default.
-     * 
-     * @example
-     * ```
-     * const prisma = new PrismaClient({
-     *   omit: {
-     *     user: {
-     *       password: true
-     *     }
-     *   }
-     * })
-     * ```
-     */
-    omit?: Prisma.GlobalOmitConfig
-  }
-  export type GlobalOmitConfig = {
-    benchmark?: BenchmarkOmit
-  }
-
-  /* Types for Logging */
-  export type LogLevel = 'info' | 'query' | 'warn' | 'error'
-  export type LogDefinition = {
-    level: LogLevel
-    emit: 'stdout' | 'event'
-  }
-
-  export type CheckIsLogLevel<T> = T extends LogLevel ? T : never;
-
-  export type GetLogType<T> = CheckIsLogLevel<
-    T extends LogDefinition ? T['level'] : T
-  >;
-
-  export type GetEvents<T extends any[]> = T extends Array<LogLevel | LogDefinition>
-    ? GetLogType<T[number]>
-    : never;
-
-  export type QueryEvent = {
-    timestamp: Date
-    query: string
-    params: string
-    duration: number
-    target: string
-  }
-
-  export type LogEvent = {
-    timestamp: Date
-    message: string
-    target: string
-  }
-  /* End Types for Logging */
-
-
-  export type PrismaAction =
-    | 'findUnique'
-    | 'findUniqueOrThrow'
-    | 'findMany'
-    | 'findFirst'
-    | 'findFirstOrThrow'
-    | 'create'
-    | 'createMany'
-    | 'createManyAndReturn'
-    | 'update'
-    | 'updateMany'
-    | 'updateManyAndReturn'
-    | 'upsert'
-    | 'delete'
-    | 'deleteMany'
-    | 'executeRaw'
-    | 'queryRaw'
-    | 'aggregate'
-    | 'count'
-    | 'runCommandRaw'
-    | 'findRaw'
-    | 'groupBy'
-
-  // tested in getLogLevel.test.ts
-  export function getLogLevel(log: Array<LogLevel | LogDefinition>): LogLevel | undefined;
-
-  /**
-   * `PrismaClient` proxy available in interactive transactions.
-   */
-  export type TransactionClient = Omit<Prisma.DefaultPrismaClient, runtime.ITXClientDenyList>
-
-  export type Datasource = {
-    url?: string
-  }
-
-  /**
-   * Count Types
-   */
-
-
-
-  /**
-   * Models
-   */
-
-  /**
-   * Model Benchmark
-   */
-
-  export type AggregateBenchmark = {
-    _count: BenchmarkCountAggregateOutputType | null
-    _avg: BenchmarkAvgAggregateOutputType | null
-    _sum: BenchmarkSumAggregateOutputType | null
-    _min: BenchmarkMinAggregateOutputType | null
-    _max: BenchmarkMaxAggregateOutputType | null
-  }
-
-  export type BenchmarkAvgAggregateOutputType = {
-    ramGB: number | null
-    fps: number | null
-    vmaf: number | null
-    fileSizeBytes: number | null
-  }
-
-  export type BenchmarkSumAggregateOutputType = {
-    ramGB: number | null
-    fps: number | null
-    vmaf: number | null
-    fileSizeBytes: number | null
-  }
-
-  export type BenchmarkMinAggregateOutputType = {
-    id: string | null
-    createdAt: Date | null
-    cpuModel: string | null
-    gpuModel: string | null
-    ramGB: number | null
-    os: string | null
-    codec: string | null
-    preset: string | null
-    fps: number | null
-    vmaf: number | null
-    fileSizeBytes: number | null
-    notes: string | null
-  }
-
-  export type BenchmarkMaxAggregateOutputType = {
-    id: string | null
-    createdAt: Date | null
-    cpuModel: string | null
-    gpuModel: string | null
-    ramGB: number | null
-    os: string | null
-    codec: string | null
-    preset: string | null
-    fps: number | null
-    vmaf: number | null
-    fileSizeBytes: number | null
-    notes: string | null
-  }
-
-  export type BenchmarkCountAggregateOutputType = {
-    id: number
-    createdAt: number
-    cpuModel: number
-    gpuModel: number
-    ramGB: number
-    os: number
-    codec: number
-    preset: number
-    fps: number
-    vmaf: number
-    fileSizeBytes: number
-    notes: number
-    _all: number
-  }
-
-
-  export type BenchmarkAvgAggregateInputType = {
-    ramGB?: true
-    fps?: true
-    vmaf?: true
-    fileSizeBytes?: true
-  }
-
-  export type BenchmarkSumAggregateInputType = {
-    ramGB?: true
-    fps?: true
-    vmaf?: true
-    fileSizeBytes?: true
-  }
-
-  export type BenchmarkMinAggregateInputType = {
-    id?: true
-    createdAt?: true
-    cpuModel?: true
-    gpuModel?: true
-    ramGB?: true
-    os?: true
-    codec?: true
-    preset?: true
-    fps?: true
-    vmaf?: true
-    fileSizeBytes?: true
-    notes?: true
-  }
-
-  export type BenchmarkMaxAggregateInputType = {
-    id?: true
-    createdAt?: true
-    cpuModel?: true
-    gpuModel?: true
-    ramGB?: true
-    os?: true
-    codec?: true
-    preset?: true
-    fps?: true
-    vmaf?: true
-    fileSizeBytes?: true
-    notes?: true
-  }
-
-  export type BenchmarkCountAggregateInputType = {
-    id?: true
-    createdAt?: true
-    cpuModel?: true
-    gpuModel?: true
-    ramGB?: true
-    os?: true
-    codec?: true
-    preset?: true
-    fps?: true
-    vmaf?: true
-    fileSizeBytes?: true
-    notes?: true
-    _all?: true
-  }
-
-  export type BenchmarkAggregateArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Filter which Benchmark to aggregate.
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/sorting Sorting Docs}
-     * 
-     * Determine the order of Benchmarks to fetch.
-     */
-    orderBy?: BenchmarkOrderByWithRelationInput | BenchmarkOrderByWithRelationInput[]
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination#cursor-based-pagination Cursor Docs}
-     * 
-     * Sets the start position
-     */
-    cursor?: BenchmarkWhereUniqueInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Take `±n` Benchmarks from the position of the cursor.
-     */
-    take?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Skip the first `n` Benchmarks.
-     */
-    skip?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/aggregations Aggregation Docs}
-     * 
-     * Count returned Benchmarks
-    **/
-    _count?: true | BenchmarkCountAggregateInputType
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/aggregations Aggregation Docs}
-     * 
-     * Select which fields to average
-    **/
-    _avg?: BenchmarkAvgAggregateInputType
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/aggregations Aggregation Docs}
-     * 
-     * Select which fields to sum
-    **/
-    _sum?: BenchmarkSumAggregateInputType
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/aggregations Aggregation Docs}
-     * 
-     * Select which fields to find the minimum value
-    **/
-    _min?: BenchmarkMinAggregateInputType
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/aggregations Aggregation Docs}
-     * 
-     * Select which fields to find the maximum value
-    **/
-    _max?: BenchmarkMaxAggregateInputType
-  }
-
-  export type GetBenchmarkAggregateType<T extends BenchmarkAggregateArgs> = {
-        [P in keyof T & keyof AggregateBenchmark]: P extends '_count' | 'count'
-      ? T[P] extends true
-        ? number
-        : GetScalarType<T[P], AggregateBenchmark[P]>
-      : GetScalarType<T[P], AggregateBenchmark[P]>
-  }
-
-
-
-
-  export type BenchmarkGroupByArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    where?: BenchmarkWhereInput
-    orderBy?: BenchmarkOrderByWithAggregationInput | BenchmarkOrderByWithAggregationInput[]
-    by: BenchmarkScalarFieldEnum[] | BenchmarkScalarFieldEnum
-    having?: BenchmarkScalarWhereWithAggregatesInput
-    take?: number
-    skip?: number
-    _count?: BenchmarkCountAggregateInputType | true
-    _avg?: BenchmarkAvgAggregateInputType
-    _sum?: BenchmarkSumAggregateInputType
-    _min?: BenchmarkMinAggregateInputType
-    _max?: BenchmarkMaxAggregateInputType
-  }
-
-  export type BenchmarkGroupByOutputType = {
-    id: string
-    createdAt: Date
-    cpuModel: string
-    gpuModel: string | null
-    ramGB: number
-    os: string
-    codec: string
-    preset: string
-    fps: number
-    vmaf: number | null
-    fileSizeBytes: number
-    notes: string | null
-    _count: BenchmarkCountAggregateOutputType | null
-    _avg: BenchmarkAvgAggregateOutputType | null
-    _sum: BenchmarkSumAggregateOutputType | null
-    _min: BenchmarkMinAggregateOutputType | null
-    _max: BenchmarkMaxAggregateOutputType | null
-  }
-
-  type GetBenchmarkGroupByPayload<T extends BenchmarkGroupByArgs> = Prisma.PrismaPromise<
-    Array<
-      PickEnumerable<BenchmarkGroupByOutputType, T['by']> &
-        {
-          [P in ((keyof T) & (keyof BenchmarkGroupByOutputType))]: P extends '_count'
-            ? T[P] extends boolean
-              ? number
-              : GetScalarType<T[P], BenchmarkGroupByOutputType[P]>
-            : GetScalarType<T[P], BenchmarkGroupByOutputType[P]>
-        }
-      >
-    >
-
-
-  export type BenchmarkSelect<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = $Extensions.GetSelect<{
-    id?: boolean
-    createdAt?: boolean
-    cpuModel?: boolean
-    gpuModel?: boolean
-    ramGB?: boolean
-    os?: boolean
-    codec?: boolean
-    preset?: boolean
-    fps?: boolean
-    vmaf?: boolean
-    fileSizeBytes?: boolean
-    notes?: boolean
-  }, ExtArgs["result"]["benchmark"]>
-
-  export type BenchmarkSelectCreateManyAndReturn<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = $Extensions.GetSelect<{
-    id?: boolean
-    createdAt?: boolean
-    cpuModel?: boolean
-    gpuModel?: boolean
-    ramGB?: boolean
-    os?: boolean
-    codec?: boolean
-    preset?: boolean
-    fps?: boolean
-    vmaf?: boolean
-    fileSizeBytes?: boolean
-    notes?: boolean
-  }, ExtArgs["result"]["benchmark"]>
-
-  export type BenchmarkSelectUpdateManyAndReturn<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = $Extensions.GetSelect<{
-    id?: boolean
-    createdAt?: boolean
-    cpuModel?: boolean
-    gpuModel?: boolean
-    ramGB?: boolean
-    os?: boolean
-    codec?: boolean
-    preset?: boolean
-    fps?: boolean
-    vmaf?: boolean
-    fileSizeBytes?: boolean
-    notes?: boolean
-  }, ExtArgs["result"]["benchmark"]>
-
-  export type BenchmarkSelectScalar = {
-    id?: boolean
-    createdAt?: boolean
-    cpuModel?: boolean
-    gpuModel?: boolean
-    ramGB?: boolean
-    os?: boolean
-    codec?: boolean
-    preset?: boolean
-    fps?: boolean
-    vmaf?: boolean
-    fileSizeBytes?: boolean
-    notes?: boolean
-  }
-
-  export type BenchmarkOmit<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = $Extensions.GetOmit<"id" | "createdAt" | "cpuModel" | "gpuModel" | "ramGB" | "os" | "codec" | "preset" | "fps" | "vmaf" | "fileSizeBytes" | "notes", ExtArgs["result"]["benchmark"]>
-
-  export type $BenchmarkPayload<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    name: "Benchmark"
-    objects: {}
-    scalars: $Extensions.GetPayloadResult<{
-      id: string
-      createdAt: Date
-      cpuModel: string
-      gpuModel: string | null
-      ramGB: number
-      os: string
-      codec: string
-      preset: string
-      fps: number
-      vmaf: number | null
-      fileSizeBytes: number
-      notes: string | null
-    }, ExtArgs["result"]["benchmark"]>
-    composites: {}
-  }
-
-  type BenchmarkGetPayload<S extends boolean | null | undefined | BenchmarkDefaultArgs> = $Result.GetResult<Prisma.$BenchmarkPayload, S>
-
-  type BenchmarkCountArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> =
-    Omit<BenchmarkFindManyArgs, 'select' | 'include' | 'distinct' | 'omit'> & {
-      select?: BenchmarkCountAggregateInputType | true
-    }
-
-  export interface BenchmarkDelegate<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs, GlobalOmitOptions = {}> {
-    [K: symbol]: { types: Prisma.TypeMap<ExtArgs>['model']['Benchmark'], meta: { name: 'Benchmark' } }
-    /**
-     * Find zero or one Benchmark that matches the filter.
-     * @param {BenchmarkFindUniqueArgs} args - Arguments to find a Benchmark
-     * @example
-     * // Get one Benchmark
-     * const benchmark = await prisma.benchmark.findUnique({
-     *   where: {
-     *     // ... provide filter here
-     *   }
-     * })
-     */
-    findUnique<T extends BenchmarkFindUniqueArgs>(args: SelectSubset<T, BenchmarkFindUniqueArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "findUnique", GlobalOmitOptions> | null, null, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Find one Benchmark that matches the filter or throw an error with `error.code='P2025'`
-     * if no matches were found.
-     * @param {BenchmarkFindUniqueOrThrowArgs} args - Arguments to find a Benchmark
-     * @example
-     * // Get one Benchmark
-     * const benchmark = await prisma.benchmark.findUniqueOrThrow({
-     *   where: {
-     *     // ... provide filter here
-     *   }
-     * })
-     */
-    findUniqueOrThrow<T extends BenchmarkFindUniqueOrThrowArgs>(args: SelectSubset<T, BenchmarkFindUniqueOrThrowArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "findUniqueOrThrow", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Find the first Benchmark that matches the filter.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkFindFirstArgs} args - Arguments to find a Benchmark
-     * @example
-     * // Get one Benchmark
-     * const benchmark = await prisma.benchmark.findFirst({
-     *   where: {
-     *     // ... provide filter here
-     *   }
-     * })
-     */
-    findFirst<T extends BenchmarkFindFirstArgs>(args?: SelectSubset<T, BenchmarkFindFirstArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "findFirst", GlobalOmitOptions> | null, null, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Find the first Benchmark that matches the filter or
-     * throw `PrismaKnownClientError` with `P2025` code if no matches were found.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkFindFirstOrThrowArgs} args - Arguments to find a Benchmark
-     * @example
-     * // Get one Benchmark
-     * const benchmark = await prisma.benchmark.findFirstOrThrow({
-     *   where: {
-     *     // ... provide filter here
-     *   }
-     * })
-     */
-    findFirstOrThrow<T extends BenchmarkFindFirstOrThrowArgs>(args?: SelectSubset<T, BenchmarkFindFirstOrThrowArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "findFirstOrThrow", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Find zero or more Benchmarks that matches the filter.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkFindManyArgs} args - Arguments to filter and select certain fields only.
-     * @example
-     * // Get all Benchmarks
-     * const benchmarks = await prisma.benchmark.findMany()
-     * 
-     * // Get first 10 Benchmarks
-     * const benchmarks = await prisma.benchmark.findMany({ take: 10 })
-     * 
-     * // Only select the `id`
-     * const benchmarkWithIdOnly = await prisma.benchmark.findMany({ select: { id: true } })
-     * 
-     */
-    findMany<T extends BenchmarkFindManyArgs>(args?: SelectSubset<T, BenchmarkFindManyArgs<ExtArgs>>): Prisma.PrismaPromise<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "findMany", GlobalOmitOptions>>
-
-    /**
-     * Create a Benchmark.
-     * @param {BenchmarkCreateArgs} args - Arguments to create a Benchmark.
-     * @example
-     * // Create one Benchmark
-     * const Benchmark = await prisma.benchmark.create({
-     *   data: {
-     *     // ... data to create a Benchmark
-     *   }
-     * })
-     * 
-     */
-    create<T extends BenchmarkCreateArgs>(args: SelectSubset<T, BenchmarkCreateArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "create", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Create many Benchmarks.
-     * @param {BenchmarkCreateManyArgs} args - Arguments to create many Benchmarks.
-     * @example
-     * // Create many Benchmarks
-     * const benchmark = await prisma.benchmark.createMany({
-     *   data: [
-     *     // ... provide data here
-     *   ]
-     * })
-     *     
-     */
-    createMany<T extends BenchmarkCreateManyArgs>(args?: SelectSubset<T, BenchmarkCreateManyArgs<ExtArgs>>): Prisma.PrismaPromise<BatchPayload>
-
-    /**
-     * Create many Benchmarks and returns the data saved in the database.
-     * @param {BenchmarkCreateManyAndReturnArgs} args - Arguments to create many Benchmarks.
-     * @example
-     * // Create many Benchmarks
-     * const benchmark = await prisma.benchmark.createManyAndReturn({
-     *   data: [
-     *     // ... provide data here
-     *   ]
-     * })
-     * 
-     * // Create many Benchmarks and only return the `id`
-     * const benchmarkWithIdOnly = await prisma.benchmark.createManyAndReturn({
-     *   select: { id: true },
-     *   data: [
-     *     // ... provide data here
-     *   ]
-     * })
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * 
-     */
-    createManyAndReturn<T extends BenchmarkCreateManyAndReturnArgs>(args?: SelectSubset<T, BenchmarkCreateManyAndReturnArgs<ExtArgs>>): Prisma.PrismaPromise<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "createManyAndReturn", GlobalOmitOptions>>
-
-    /**
-     * Delete a Benchmark.
-     * @param {BenchmarkDeleteArgs} args - Arguments to delete one Benchmark.
-     * @example
-     * // Delete one Benchmark
-     * const Benchmark = await prisma.benchmark.delete({
-     *   where: {
-     *     // ... filter to delete one Benchmark
-     *   }
-     * })
-     * 
-     */
-    delete<T extends BenchmarkDeleteArgs>(args: SelectSubset<T, BenchmarkDeleteArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "delete", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Update one Benchmark.
-     * @param {BenchmarkUpdateArgs} args - Arguments to update one Benchmark.
-     * @example
-     * // Update one Benchmark
-     * const benchmark = await prisma.benchmark.update({
-     *   where: {
-     *     // ... provide filter here
-     *   },
-     *   data: {
-     *     // ... provide data here
-     *   }
-     * })
-     * 
-     */
-    update<T extends BenchmarkUpdateArgs>(args: SelectSubset<T, BenchmarkUpdateArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "update", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-    /**
-     * Delete zero or more Benchmarks.
-     * @param {BenchmarkDeleteManyArgs} args - Arguments to filter Benchmarks to delete.
-     * @example
-     * // Delete a few Benchmarks
-     * const { count } = await prisma.benchmark.deleteMany({
-     *   where: {
-     *     // ... provide filter here
-     *   }
-     * })
-     * 
-     */
-    deleteMany<T extends BenchmarkDeleteManyArgs>(args?: SelectSubset<T, BenchmarkDeleteManyArgs<ExtArgs>>): Prisma.PrismaPromise<BatchPayload>
-
-    /**
-     * Update zero or more Benchmarks.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkUpdateManyArgs} args - Arguments to update one or more rows.
-     * @example
-     * // Update many Benchmarks
-     * const benchmark = await prisma.benchmark.updateMany({
-     *   where: {
-     *     // ... provide filter here
-     *   },
-     *   data: {
-     *     // ... provide data here
-     *   }
-     * })
-     * 
-     */
-    updateMany<T extends BenchmarkUpdateManyArgs>(args: SelectSubset<T, BenchmarkUpdateManyArgs<ExtArgs>>): Prisma.PrismaPromise<BatchPayload>
-
-    /**
-     * Update zero or more Benchmarks and returns the data updated in the database.
-     * @param {BenchmarkUpdateManyAndReturnArgs} args - Arguments to update many Benchmarks.
-     * @example
-     * // Update many Benchmarks
-     * const benchmark = await prisma.benchmark.updateManyAndReturn({
-     *   where: {
-     *     // ... provide filter here
-     *   },
-     *   data: [
-     *     // ... provide data here
-     *   ]
-     * })
-     * 
-     * // Update zero or more Benchmarks and only return the `id`
-     * const benchmarkWithIdOnly = await prisma.benchmark.updateManyAndReturn({
-     *   select: { id: true },
-     *   where: {
-     *     // ... provide filter here
-     *   },
-     *   data: [
-     *     // ... provide data here
-     *   ]
-     * })
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * 
-     */
-    updateManyAndReturn<T extends BenchmarkUpdateManyAndReturnArgs>(args: SelectSubset<T, BenchmarkUpdateManyAndReturnArgs<ExtArgs>>): Prisma.PrismaPromise<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "updateManyAndReturn", GlobalOmitOptions>>
-
-    /**
-     * Create or update one Benchmark.
-     * @param {BenchmarkUpsertArgs} args - Arguments to update or create a Benchmark.
-     * @example
-     * // Update or create a Benchmark
-     * const benchmark = await prisma.benchmark.upsert({
-     *   create: {
-     *     // ... data to create a Benchmark
-     *   },
-     *   update: {
-     *     // ... in case it already exists, update
-     *   },
-     *   where: {
-     *     // ... the filter for the Benchmark we want to update
-     *   }
-     * })
-     */
-    upsert<T extends BenchmarkUpsertArgs>(args: SelectSubset<T, BenchmarkUpsertArgs<ExtArgs>>): Prisma__BenchmarkClient<$Result.GetResult<Prisma.$BenchmarkPayload<ExtArgs>, T, "upsert", GlobalOmitOptions>, never, ExtArgs, GlobalOmitOptions>
-
-
-    /**
-     * Count the number of Benchmarks.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkCountArgs} args - Arguments to filter Benchmarks to count.
-     * @example
-     * // Count the number of Benchmarks
-     * const count = await prisma.benchmark.count({
-     *   where: {
-     *     // ... the filter for the Benchmarks we want to count
-     *   }
-     * })
-    **/
-    count<T extends BenchmarkCountArgs>(
-      args?: Subset<T, BenchmarkCountArgs>,
-    ): Prisma.PrismaPromise<
-      T extends $Utils.Record<'select', any>
-        ? T['select'] extends true
-          ? number
-          : GetScalarType<T['select'], BenchmarkCountAggregateOutputType>
-        : number
-    >
-
-    /**
-     * Allows you to perform aggregations operations on a Benchmark.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkAggregateArgs} args - Select which aggregations you would like to apply and on what fields.
-     * @example
-     * // Ordered by age ascending
-     * // Where email contains prisma.io
-     * // Limited to the 10 users
-     * const aggregations = await prisma.user.aggregate({
-     *   _avg: {
-     *     age: true,
-     *   },
-     *   where: {
-     *     email: {
-     *       contains: "prisma.io",
-     *     },
-     *   },
-     *   orderBy: {
-     *     age: "asc",
-     *   },
-     *   take: 10,
-     * })
-    **/
-    aggregate<T extends BenchmarkAggregateArgs>(args: Subset<T, BenchmarkAggregateArgs>): Prisma.PrismaPromise<GetBenchmarkAggregateType<T>>
-
-    /**
-     * Group by Benchmark.
-     * Note, that providing `undefined` is treated as the value not being there.
-     * Read more here: https://pris.ly/d/null-undefined
-     * @param {BenchmarkGroupByArgs} args - Group by arguments.
-     * @example
-     * // Group by city, order by createdAt, get count
-     * const result = await prisma.user.groupBy({
-     *   by: ['city', 'createdAt'],
-     *   orderBy: {
-     *     createdAt: true
-     *   },
-     *   _count: {
-     *     _all: true
-     *   },
-     * })
-     * 
-    **/
-    groupBy<
-      T extends BenchmarkGroupByArgs,
-      HasSelectOrTake extends Or<
-        Extends<'skip', Keys<T>>,
-        Extends<'take', Keys<T>>
-      >,
-      OrderByArg extends True extends HasSelectOrTake
-        ? { orderBy: BenchmarkGroupByArgs['orderBy'] }
-        : { orderBy?: BenchmarkGroupByArgs['orderBy'] },
-      OrderFields extends ExcludeUnderscoreKeys<Keys<MaybeTupleToUnion<T['orderBy']>>>,
-      ByFields extends MaybeTupleToUnion<T['by']>,
-      ByValid extends Has<ByFields, OrderFields>,
-      HavingFields extends GetHavingFields<T['having']>,
-      HavingValid extends Has<ByFields, HavingFields>,
-      ByEmpty extends T['by'] extends never[] ? True : False,
-      InputErrors extends ByEmpty extends True
-      ? `Error: "by" must not be empty.`
-      : HavingValid extends False
-      ? {
-          [P in HavingFields]: P extends ByFields
-            ? never
-            : P extends string
-            ? `Error: Field "${P}" used in "having" needs to be provided in "by".`
-            : [
-                Error,
-                'Field ',
-                P,
-                ` in "having" needs to be provided in "by"`,
-              ]
-        }[HavingFields]
-      : 'take' extends Keys<T>
-      ? 'orderBy' extends Keys<T>
-        ? ByValid extends True
-          ? {}
-          : {
-              [P in OrderFields]: P extends ByFields
-                ? never
-                : `Error: Field "${P}" in "orderBy" needs to be provided in "by"`
-            }[OrderFields]
-        : 'Error: If you provide "take", you also need to provide "orderBy"'
-      : 'skip' extends Keys<T>
-      ? 'orderBy' extends Keys<T>
-        ? ByValid extends True
-          ? {}
-          : {
-              [P in OrderFields]: P extends ByFields
-                ? never
-                : `Error: Field "${P}" in "orderBy" needs to be provided in "by"`
-            }[OrderFields]
-        : 'Error: If you provide "skip", you also need to provide "orderBy"'
-      : ByValid extends True
-      ? {}
-      : {
-          [P in OrderFields]: P extends ByFields
-            ? never
-            : `Error: Field "${P}" in "orderBy" needs to be provided in "by"`
-        }[OrderFields]
-    >(args: SubsetIntersection<T, BenchmarkGroupByArgs, OrderByArg> & InputErrors): {} extends InputErrors ? GetBenchmarkGroupByPayload<T> : Prisma.PrismaPromise<InputErrors>
-  /**
-   * Fields of the Benchmark model
-   */
-  readonly fields: BenchmarkFieldRefs;
-  }
-
-  /**
-   * The delegate class that acts as a "Promise-like" for Benchmark.
-   * Why is this prefixed with `Prisma__`?
-   * Because we want to prevent naming conflicts as mentioned in
-   * https://github.com/prisma/prisma-client-js/issues/707
-   */
-  export interface Prisma__BenchmarkClient<T, Null = never, ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs, GlobalOmitOptions = {}> extends Prisma.PrismaPromise<T> {
-    readonly [Symbol.toStringTag]: "PrismaPromise"
-    /**
-     * Attaches callbacks for the resolution and/or rejection of the Promise.
-     * @param onfulfilled The callback to execute when the Promise is resolved.
-     * @param onrejected The callback to execute when the Promise is rejected.
-     * @returns A Promise for the completion of which ever callback is executed.
-     */
-    then<TResult1 = T, TResult2 = never>(onfulfilled?: ((value: T) => TResult1 | PromiseLike<TResult1>) | undefined | null, onrejected?: ((reason: any) => TResult2 | PromiseLike<TResult2>) | undefined | null): $Utils.JsPromise<TResult1 | TResult2>
-    /**
-     * Attaches a callback for only the rejection of the Promise.
-     * @param onrejected The callback to execute when the Promise is rejected.
-     * @returns A Promise for the completion of the callback.
-     */
-    catch<TResult = never>(onrejected?: ((reason: any) => TResult | PromiseLike<TResult>) | undefined | null): $Utils.JsPromise<T | TResult>
-    /**
-     * Attaches a callback that is invoked when the Promise is settled (fulfilled or rejected). The
-     * resolved value cannot be modified from the callback.
-     * @param onfinally The callback to execute when the Promise is settled (fulfilled or rejected).
-     * @returns A Promise for the completion of the callback.
-     */
-    finally(onfinally?: (() => void) | undefined | null): $Utils.JsPromise<T>
-  }
-
-
-
-
-  /**
-   * Fields of the Benchmark model
-   */
-  interface BenchmarkFieldRefs {
-    readonly id: FieldRef<"Benchmark", 'String'>
-    readonly createdAt: FieldRef<"Benchmark", 'DateTime'>
-    readonly cpuModel: FieldRef<"Benchmark", 'String'>
-    readonly gpuModel: FieldRef<"Benchmark", 'String'>
-    readonly ramGB: FieldRef<"Benchmark", 'Int'>
-    readonly os: FieldRef<"Benchmark", 'String'>
-    readonly codec: FieldRef<"Benchmark", 'String'>
-    readonly preset: FieldRef<"Benchmark", 'String'>
-    readonly fps: FieldRef<"Benchmark", 'Float'>
-    readonly vmaf: FieldRef<"Benchmark", 'Float'>
-    readonly fileSizeBytes: FieldRef<"Benchmark", 'Int'>
-    readonly notes: FieldRef<"Benchmark", 'String'>
-  }
-    
-
-  // Custom InputTypes
-  /**
-   * Benchmark findUnique
-   */
-  export type BenchmarkFindUniqueArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter, which Benchmark to fetch.
-     */
-    where: BenchmarkWhereUniqueInput
-  }
-
-  /**
-   * Benchmark findUniqueOrThrow
-   */
-  export type BenchmarkFindUniqueOrThrowArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter, which Benchmark to fetch.
-     */
-    where: BenchmarkWhereUniqueInput
-  }
-
-  /**
-   * Benchmark findFirst
-   */
-  export type BenchmarkFindFirstArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter, which Benchmark to fetch.
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/sorting Sorting Docs}
-     * 
-     * Determine the order of Benchmarks to fetch.
-     */
-    orderBy?: BenchmarkOrderByWithRelationInput | BenchmarkOrderByWithRelationInput[]
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination#cursor-based-pagination Cursor Docs}
-     * 
-     * Sets the position for searching for Benchmarks.
-     */
-    cursor?: BenchmarkWhereUniqueInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Take `±n` Benchmarks from the position of the cursor.
-     */
-    take?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Skip the first `n` Benchmarks.
-     */
-    skip?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/distinct Distinct Docs}
-     * 
-     * Filter by unique combinations of Benchmarks.
-     */
-    distinct?: BenchmarkScalarFieldEnum | BenchmarkScalarFieldEnum[]
-  }
-
-  /**
-   * Benchmark findFirstOrThrow
-   */
-  export type BenchmarkFindFirstOrThrowArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter, which Benchmark to fetch.
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/sorting Sorting Docs}
-     * 
-     * Determine the order of Benchmarks to fetch.
-     */
-    orderBy?: BenchmarkOrderByWithRelationInput | BenchmarkOrderByWithRelationInput[]
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination#cursor-based-pagination Cursor Docs}
-     * 
-     * Sets the position for searching for Benchmarks.
-     */
-    cursor?: BenchmarkWhereUniqueInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Take `±n` Benchmarks from the position of the cursor.
-     */
-    take?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Skip the first `n` Benchmarks.
-     */
-    skip?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/distinct Distinct Docs}
-     * 
-     * Filter by unique combinations of Benchmarks.
-     */
-    distinct?: BenchmarkScalarFieldEnum | BenchmarkScalarFieldEnum[]
-  }
-
-  /**
-   * Benchmark findMany
-   */
-  export type BenchmarkFindManyArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter, which Benchmarks to fetch.
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/sorting Sorting Docs}
-     * 
-     * Determine the order of Benchmarks to fetch.
-     */
-    orderBy?: BenchmarkOrderByWithRelationInput | BenchmarkOrderByWithRelationInput[]
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination#cursor-based-pagination Cursor Docs}
-     * 
-     * Sets the position for listing Benchmarks.
-     */
-    cursor?: BenchmarkWhereUniqueInput
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Take `±n` Benchmarks from the position of the cursor.
-     */
-    take?: number
-    /**
-     * {@link https://www.prisma.io/docs/concepts/components/prisma-client/pagination Pagination Docs}
-     * 
-     * Skip the first `n` Benchmarks.
-     */
-    skip?: number
-    distinct?: BenchmarkScalarFieldEnum | BenchmarkScalarFieldEnum[]
-  }
-
-  /**
-   * Benchmark create
-   */
-  export type BenchmarkCreateArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * The data needed to create a Benchmark.
-     */
-    data: XOR<BenchmarkCreateInput, BenchmarkUncheckedCreateInput>
-  }
-
-  /**
-   * Benchmark createMany
-   */
-  export type BenchmarkCreateManyArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * The data used to create many Benchmarks.
-     */
-    data: BenchmarkCreateManyInput | BenchmarkCreateManyInput[]
-    skipDuplicates?: boolean
-  }
-
-  /**
-   * Benchmark createManyAndReturn
-   */
-  export type BenchmarkCreateManyAndReturnArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelectCreateManyAndReturn<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * The data used to create many Benchmarks.
-     */
-    data: BenchmarkCreateManyInput | BenchmarkCreateManyInput[]
-    skipDuplicates?: boolean
-  }
-
-  /**
-   * Benchmark update
-   */
-  export type BenchmarkUpdateArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * The data needed to update a Benchmark.
-     */
-    data: XOR<BenchmarkUpdateInput, BenchmarkUncheckedUpdateInput>
-    /**
-     * Choose, which Benchmark to update.
-     */
-    where: BenchmarkWhereUniqueInput
-  }
-
-  /**
-   * Benchmark updateMany
-   */
-  export type BenchmarkUpdateManyArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * The data used to update Benchmarks.
-     */
-    data: XOR<BenchmarkUpdateManyMutationInput, BenchmarkUncheckedUpdateManyInput>
-    /**
-     * Filter which Benchmarks to update
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * Limit how many Benchmarks to update.
-     */
-    limit?: number
-  }
-
-  /**
-   * Benchmark updateManyAndReturn
-   */
-  export type BenchmarkUpdateManyAndReturnArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelectUpdateManyAndReturn<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * The data used to update Benchmarks.
-     */
-    data: XOR<BenchmarkUpdateManyMutationInput, BenchmarkUncheckedUpdateManyInput>
-    /**
-     * Filter which Benchmarks to update
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * Limit how many Benchmarks to update.
-     */
-    limit?: number
-  }
-
-  /**
-   * Benchmark upsert
-   */
-  export type BenchmarkUpsertArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * The filter to search for the Benchmark to update in case it exists.
-     */
-    where: BenchmarkWhereUniqueInput
-    /**
-     * In case the Benchmark found by the `where` argument doesn't exist, create a new Benchmark with this data.
-     */
-    create: XOR<BenchmarkCreateInput, BenchmarkUncheckedCreateInput>
-    /**
-     * In case the Benchmark was found with the provided `where` argument, update it with this data.
-     */
-    update: XOR<BenchmarkUpdateInput, BenchmarkUncheckedUpdateInput>
-  }
-
-  /**
-   * Benchmark delete
-   */
-  export type BenchmarkDeleteArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-    /**
-     * Filter which Benchmark to delete.
-     */
-    where: BenchmarkWhereUniqueInput
-  }
-
-  /**
-   * Benchmark deleteMany
-   */
-  export type BenchmarkDeleteManyArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Filter which Benchmarks to delete
-     */
-    where?: BenchmarkWhereInput
-    /**
-     * Limit how many Benchmarks to delete.
-     */
-    limit?: number
-  }
-
-  /**
-   * Benchmark without action
-   */
-  export type BenchmarkDefaultArgs<ExtArgs extends $Extensions.InternalArgs = $Extensions.DefaultArgs> = {
-    /**
-     * Select specific fields to fetch from the Benchmark
-     */
-    select?: BenchmarkSelect<ExtArgs> | null
-    /**
-     * Omit specific fields from the Benchmark
-     */
-    omit?: BenchmarkOmit<ExtArgs> | null
-  }
-
-
-  /**
-   * Enums
-   */
-
-  export const TransactionIsolationLevel: {
-    ReadUncommitted: 'ReadUncommitted',
-    ReadCommitted: 'ReadCommitted',
-    RepeatableRead: 'RepeatableRead',
-    Serializable: 'Serializable'
-  };
-
-  export type TransactionIsolationLevel = (typeof TransactionIsolationLevel)[keyof typeof TransactionIsolationLevel]
-
-
-  export const BenchmarkScalarFieldEnum: {
-    id: 'id',
-    createdAt: 'createdAt',
-    cpuModel: 'cpuModel',
-    gpuModel: 'gpuModel',
-    ramGB: 'ramGB',
-    os: 'os',
-    codec: 'codec',
-    preset: 'preset',
-    fps: 'fps',
-    vmaf: 'vmaf',
-    fileSizeBytes: 'fileSizeBytes',
-    notes: 'notes'
-  };
-
-  export type BenchmarkScalarFieldEnum = (typeof BenchmarkScalarFieldEnum)[keyof typeof BenchmarkScalarFieldEnum]
-
-
-  export const SortOrder: {
-    asc: 'asc',
-    desc: 'desc'
-  };
-
-  export type SortOrder = (typeof SortOrder)[keyof typeof SortOrder]
-
-
-  export const QueryMode: {
-    default: 'default',
-    insensitive: 'insensitive'
-  };
-
-  export type QueryMode = (typeof QueryMode)[keyof typeof QueryMode]
-
-
-  export const NullsOrder: {
-    first: 'first',
-    last: 'last'
-  };
-
-  export type NullsOrder = (typeof NullsOrder)[keyof typeof NullsOrder]
-
-
-  /**
-   * Field references
-   */
-
-
-  /**
-   * Reference to a field of type 'String'
-   */
-  export type StringFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'String'>
-    
-
-
-  /**
-   * Reference to a field of type 'String[]'
-   */
-  export type ListStringFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'String[]'>
-    
-
-
-  /**
-   * Reference to a field of type 'DateTime'
-   */
-  export type DateTimeFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'DateTime'>
-    
-
-
-  /**
-   * Reference to a field of type 'DateTime[]'
-   */
-  export type ListDateTimeFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'DateTime[]'>
-    
-
-
-  /**
-   * Reference to a field of type 'Int'
-   */
-  export type IntFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Int'>
-    
-
-
-  /**
-   * Reference to a field of type 'Int[]'
-   */
-  export type ListIntFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Int[]'>
-    
-
-
-  /**
-   * Reference to a field of type 'Float'
-   */
-  export type FloatFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Float'>
-    
-
-
-  /**
-   * Reference to a field of type 'Float[]'
-   */
-  export type ListFloatFieldRefInput<$PrismaModel> = FieldRefInputType<$PrismaModel, 'Float[]'>
-    
-  /**
-   * Deep Input Types
-   */
-
-
-  export type BenchmarkWhereInput = {
-    AND?: BenchmarkWhereInput | BenchmarkWhereInput[]
-    OR?: BenchmarkWhereInput[]
-    NOT?: BenchmarkWhereInput | BenchmarkWhereInput[]
-    id?: StringFilter<"Benchmark"> | string
-    createdAt?: DateTimeFilter<"Benchmark"> | Date | string
-    cpuModel?: StringFilter<"Benchmark"> | string
-    gpuModel?: StringNullableFilter<"Benchmark"> | string | null
-    ramGB?: IntFilter<"Benchmark"> | number
-    os?: StringFilter<"Benchmark"> | string
-    codec?: StringFilter<"Benchmark"> | string
-    preset?: StringFilter<"Benchmark"> | string
-    fps?: FloatFilter<"Benchmark"> | number
-    vmaf?: FloatNullableFilter<"Benchmark"> | number | null
-    fileSizeBytes?: IntFilter<"Benchmark"> | number
-    notes?: StringNullableFilter<"Benchmark"> | string | null
-  }
-
-  export type BenchmarkOrderByWithRelationInput = {
-    id?: SortOrder
-    createdAt?: SortOrder
-    cpuModel?: SortOrder
-    gpuModel?: SortOrderInput | SortOrder
-    ramGB?: SortOrder
-    os?: SortOrder
-    codec?: SortOrder
-    preset?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrderInput | SortOrder
-    fileSizeBytes?: SortOrder
-    notes?: SortOrderInput | SortOrder
-  }
-
-  export type BenchmarkWhereUniqueInput = Prisma.AtLeast<{
-    id?: string
-    AND?: BenchmarkWhereInput | BenchmarkWhereInput[]
-    OR?: BenchmarkWhereInput[]
-    NOT?: BenchmarkWhereInput | BenchmarkWhereInput[]
-    createdAt?: DateTimeFilter<"Benchmark"> | Date | string
-    cpuModel?: StringFilter<"Benchmark"> | string
-    gpuModel?: StringNullableFilter<"Benchmark"> | string | null
-    ramGB?: IntFilter<"Benchmark"> | number
-    os?: StringFilter<"Benchmark"> | string
-    codec?: StringFilter<"Benchmark"> | string
-    preset?: StringFilter<"Benchmark"> | string
-    fps?: FloatFilter<"Benchmark"> | number
-    vmaf?: FloatNullableFilter<"Benchmark"> | number | null
-    fileSizeBytes?: IntFilter<"Benchmark"> | number
-    notes?: StringNullableFilter<"Benchmark"> | string | null
-  }, "id">
-
-  export type BenchmarkOrderByWithAggregationInput = {
-    id?: SortOrder
-    createdAt?: SortOrder
-    cpuModel?: SortOrder
-    gpuModel?: SortOrderInput | SortOrder
-    ramGB?: SortOrder
-    os?: SortOrder
-    codec?: SortOrder
-    preset?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrderInput | SortOrder
-    fileSizeBytes?: SortOrder
-    notes?: SortOrderInput | SortOrder
-    _count?: BenchmarkCountOrderByAggregateInput
-    _avg?: BenchmarkAvgOrderByAggregateInput
-    _max?: BenchmarkMaxOrderByAggregateInput
-    _min?: BenchmarkMinOrderByAggregateInput
-    _sum?: BenchmarkSumOrderByAggregateInput
-  }
-
-  export type BenchmarkScalarWhereWithAggregatesInput = {
-    AND?: BenchmarkScalarWhereWithAggregatesInput | BenchmarkScalarWhereWithAggregatesInput[]
-    OR?: BenchmarkScalarWhereWithAggregatesInput[]
-    NOT?: BenchmarkScalarWhereWithAggregatesInput | BenchmarkScalarWhereWithAggregatesInput[]
-    id?: StringWithAggregatesFilter<"Benchmark"> | string
-    createdAt?: DateTimeWithAggregatesFilter<"Benchmark"> | Date | string
-    cpuModel?: StringWithAggregatesFilter<"Benchmark"> | string
-    gpuModel?: StringNullableWithAggregatesFilter<"Benchmark"> | string | null
-    ramGB?: IntWithAggregatesFilter<"Benchmark"> | number
-    os?: StringWithAggregatesFilter<"Benchmark"> | string
-    codec?: StringWithAggregatesFilter<"Benchmark"> | string
-    preset?: StringWithAggregatesFilter<"Benchmark"> | string
-    fps?: FloatWithAggregatesFilter<"Benchmark"> | number
-    vmaf?: FloatNullableWithAggregatesFilter<"Benchmark"> | number | null
-    fileSizeBytes?: IntWithAggregatesFilter<"Benchmark"> | number
-    notes?: StringNullableWithAggregatesFilter<"Benchmark"> | string | null
-  }
-
-  export type BenchmarkCreateInput = {
-    id?: string
-    createdAt?: Date | string
-    cpuModel: string
-    gpuModel?: string | null
-    ramGB: number
-    os: string
-    codec: string
-    preset: string
-    fps: number
-    vmaf?: number | null
-    fileSizeBytes: number
-    notes?: string | null
-  }
-
-  export type BenchmarkUncheckedCreateInput = {
-    id?: string
-    createdAt?: Date | string
-    cpuModel: string
-    gpuModel?: string | null
-    ramGB: number
-    os: string
-    codec: string
-    preset: string
-    fps: number
-    vmaf?: number | null
-    fileSizeBytes: number
-    notes?: string | null
-  }
-
-  export type BenchmarkUpdateInput = {
-    id?: StringFieldUpdateOperationsInput | string
-    createdAt?: DateTimeFieldUpdateOperationsInput | Date | string
-    cpuModel?: StringFieldUpdateOperationsInput | string
-    gpuModel?: NullableStringFieldUpdateOperationsInput | string | null
-    ramGB?: IntFieldUpdateOperationsInput | number
-    os?: StringFieldUpdateOperationsInput | string
-    codec?: StringFieldUpdateOperationsInput | string
-    preset?: StringFieldUpdateOperationsInput | string
-    fps?: FloatFieldUpdateOperationsInput | number
-    vmaf?: NullableFloatFieldUpdateOperationsInput | number | null
-    fileSizeBytes?: IntFieldUpdateOperationsInput | number
-    notes?: NullableStringFieldUpdateOperationsInput | string | null
-  }
-
-  export type BenchmarkUncheckedUpdateInput = {
-    id?: StringFieldUpdateOperationsInput | string
-    createdAt?: DateTimeFieldUpdateOperationsInput | Date | string
-    cpuModel?: StringFieldUpdateOperationsInput | string
-    gpuModel?: NullableStringFieldUpdateOperationsInput | string | null
-    ramGB?: IntFieldUpdateOperationsInput | number
-    os?: StringFieldUpdateOperationsInput | string
-    codec?: StringFieldUpdateOperationsInput | string
-    preset?: StringFieldUpdateOperationsInput | string
-    fps?: FloatFieldUpdateOperationsInput | number
-    vmaf?: NullableFloatFieldUpdateOperationsInput | number | null
-    fileSizeBytes?: IntFieldUpdateOperationsInput | number
-    notes?: NullableStringFieldUpdateOperationsInput | string | null
-  }
-
-  export type BenchmarkCreateManyInput = {
-    id?: string
-    createdAt?: Date | string
-    cpuModel: string
-    gpuModel?: string | null
-    ramGB: number
-    os: string
-    codec: string
-    preset: string
-    fps: number
-    vmaf?: number | null
-    fileSizeBytes: number
-    notes?: string | null
-  }
-
-  export type BenchmarkUpdateManyMutationInput = {
-    id?: StringFieldUpdateOperationsInput | string
-    createdAt?: DateTimeFieldUpdateOperationsInput | Date | string
-    cpuModel?: StringFieldUpdateOperationsInput | string
-    gpuModel?: NullableStringFieldUpdateOperationsInput | string | null
-    ramGB?: IntFieldUpdateOperationsInput | number
-    os?: StringFieldUpdateOperationsInput | string
-    codec?: StringFieldUpdateOperationsInput | string
-    preset?: StringFieldUpdateOperationsInput | string
-    fps?: FloatFieldUpdateOperationsInput | number
-    vmaf?: NullableFloatFieldUpdateOperationsInput | number | null
-    fileSizeBytes?: IntFieldUpdateOperationsInput | number
-    notes?: NullableStringFieldUpdateOperationsInput | string | null
-  }
-
-  export type BenchmarkUncheckedUpdateManyInput = {
-    id?: StringFieldUpdateOperationsInput | string
-    createdAt?: DateTimeFieldUpdateOperationsInput | Date | string
-    cpuModel?: StringFieldUpdateOperationsInput | string
-    gpuModel?: NullableStringFieldUpdateOperationsInput | string | null
-    ramGB?: IntFieldUpdateOperationsInput | number
-    os?: StringFieldUpdateOperationsInput | string
-    codec?: StringFieldUpdateOperationsInput | string
-    preset?: StringFieldUpdateOperationsInput | string
-    fps?: FloatFieldUpdateOperationsInput | number
-    vmaf?: NullableFloatFieldUpdateOperationsInput | number | null
-    fileSizeBytes?: IntFieldUpdateOperationsInput | number
-    notes?: NullableStringFieldUpdateOperationsInput | string | null
-  }
-
-  export type StringFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel>
-    in?: string[] | ListStringFieldRefInput<$PrismaModel>
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel>
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    mode?: QueryMode
-    not?: NestedStringFilter<$PrismaModel> | string
-  }
-
-  export type DateTimeFilter<$PrismaModel = never> = {
-    equals?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    in?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    notIn?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    lt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    lte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    not?: NestedDateTimeFilter<$PrismaModel> | Date | string
-  }
-
-  export type StringNullableFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel> | null
-    in?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    mode?: QueryMode
-    not?: NestedStringNullableFilter<$PrismaModel> | string | null
-  }
-
-  export type IntFilter<$PrismaModel = never> = {
-    equals?: number | IntFieldRefInput<$PrismaModel>
-    in?: number[] | ListIntFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListIntFieldRefInput<$PrismaModel>
-    lt?: number | IntFieldRefInput<$PrismaModel>
-    lte?: number | IntFieldRefInput<$PrismaModel>
-    gt?: number | IntFieldRefInput<$PrismaModel>
-    gte?: number | IntFieldRefInput<$PrismaModel>
-    not?: NestedIntFilter<$PrismaModel> | number
-  }
-
-  export type FloatFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel>
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatFilter<$PrismaModel> | number
-  }
-
-  export type FloatNullableFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel> | null
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatNullableFilter<$PrismaModel> | number | null
-  }
-
-  export type SortOrderInput = {
-    sort: SortOrder
-    nulls?: NullsOrder
-  }
-
-  export type BenchmarkCountOrderByAggregateInput = {
-    id?: SortOrder
-    createdAt?: SortOrder
-    cpuModel?: SortOrder
-    gpuModel?: SortOrder
-    ramGB?: SortOrder
-    os?: SortOrder
-    codec?: SortOrder
-    preset?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrder
-    fileSizeBytes?: SortOrder
-    notes?: SortOrder
-  }
-
-  export type BenchmarkAvgOrderByAggregateInput = {
-    ramGB?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrder
-    fileSizeBytes?: SortOrder
-  }
-
-  export type BenchmarkMaxOrderByAggregateInput = {
-    id?: SortOrder
-    createdAt?: SortOrder
-    cpuModel?: SortOrder
-    gpuModel?: SortOrder
-    ramGB?: SortOrder
-    os?: SortOrder
-    codec?: SortOrder
-    preset?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrder
-    fileSizeBytes?: SortOrder
-    notes?: SortOrder
-  }
-
-  export type BenchmarkMinOrderByAggregateInput = {
-    id?: SortOrder
-    createdAt?: SortOrder
-    cpuModel?: SortOrder
-    gpuModel?: SortOrder
-    ramGB?: SortOrder
-    os?: SortOrder
-    codec?: SortOrder
-    preset?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrder
-    fileSizeBytes?: SortOrder
-    notes?: SortOrder
-  }
-
-  export type BenchmarkSumOrderByAggregateInput = {
-    ramGB?: SortOrder
-    fps?: SortOrder
-    vmaf?: SortOrder
-    fileSizeBytes?: SortOrder
-  }
-
-  export type StringWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel>
-    in?: string[] | ListStringFieldRefInput<$PrismaModel>
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel>
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    mode?: QueryMode
-    not?: NestedStringWithAggregatesFilter<$PrismaModel> | string
-    _count?: NestedIntFilter<$PrismaModel>
-    _min?: NestedStringFilter<$PrismaModel>
-    _max?: NestedStringFilter<$PrismaModel>
-  }
-
-  export type DateTimeWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    in?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    notIn?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    lt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    lte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    not?: NestedDateTimeWithAggregatesFilter<$PrismaModel> | Date | string
-    _count?: NestedIntFilter<$PrismaModel>
-    _min?: NestedDateTimeFilter<$PrismaModel>
-    _max?: NestedDateTimeFilter<$PrismaModel>
-  }
-
-  export type StringNullableWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel> | null
-    in?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    mode?: QueryMode
-    not?: NestedStringNullableWithAggregatesFilter<$PrismaModel> | string | null
-    _count?: NestedIntNullableFilter<$PrismaModel>
-    _min?: NestedStringNullableFilter<$PrismaModel>
-    _max?: NestedStringNullableFilter<$PrismaModel>
-  }
-
-  export type IntWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | IntFieldRefInput<$PrismaModel>
-    in?: number[] | ListIntFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListIntFieldRefInput<$PrismaModel>
-    lt?: number | IntFieldRefInput<$PrismaModel>
-    lte?: number | IntFieldRefInput<$PrismaModel>
-    gt?: number | IntFieldRefInput<$PrismaModel>
-    gte?: number | IntFieldRefInput<$PrismaModel>
-    not?: NestedIntWithAggregatesFilter<$PrismaModel> | number
-    _count?: NestedIntFilter<$PrismaModel>
-    _avg?: NestedFloatFilter<$PrismaModel>
-    _sum?: NestedIntFilter<$PrismaModel>
-    _min?: NestedIntFilter<$PrismaModel>
-    _max?: NestedIntFilter<$PrismaModel>
-  }
-
-  export type FloatWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel>
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatWithAggregatesFilter<$PrismaModel> | number
-    _count?: NestedIntFilter<$PrismaModel>
-    _avg?: NestedFloatFilter<$PrismaModel>
-    _sum?: NestedFloatFilter<$PrismaModel>
-    _min?: NestedFloatFilter<$PrismaModel>
-    _max?: NestedFloatFilter<$PrismaModel>
-  }
-
-  export type FloatNullableWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel> | null
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatNullableWithAggregatesFilter<$PrismaModel> | number | null
-    _count?: NestedIntNullableFilter<$PrismaModel>
-    _avg?: NestedFloatNullableFilter<$PrismaModel>
-    _sum?: NestedFloatNullableFilter<$PrismaModel>
-    _min?: NestedFloatNullableFilter<$PrismaModel>
-    _max?: NestedFloatNullableFilter<$PrismaModel>
-  }
-
-  export type StringFieldUpdateOperationsInput = {
-    set?: string
-  }
-
-  export type DateTimeFieldUpdateOperationsInput = {
-    set?: Date | string
-  }
-
-  export type NullableStringFieldUpdateOperationsInput = {
-    set?: string | null
-  }
-
-  export type IntFieldUpdateOperationsInput = {
-    set?: number
-    increment?: number
-    decrement?: number
-    multiply?: number
-    divide?: number
-  }
-
-  export type FloatFieldUpdateOperationsInput = {
-    set?: number
-    increment?: number
-    decrement?: number
-    multiply?: number
-    divide?: number
-  }
-
-  export type NullableFloatFieldUpdateOperationsInput = {
-    set?: number | null
-    increment?: number
-    decrement?: number
-    multiply?: number
-    divide?: number
-  }
-
-  export type NestedStringFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel>
-    in?: string[] | ListStringFieldRefInput<$PrismaModel>
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel>
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    not?: NestedStringFilter<$PrismaModel> | string
-  }
-
-  export type NestedDateTimeFilter<$PrismaModel = never> = {
-    equals?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    in?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    notIn?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    lt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    lte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    not?: NestedDateTimeFilter<$PrismaModel> | Date | string
-  }
-
-  export type NestedStringNullableFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel> | null
-    in?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    not?: NestedStringNullableFilter<$PrismaModel> | string | null
-  }
-
-  export type NestedIntFilter<$PrismaModel = never> = {
-    equals?: number | IntFieldRefInput<$PrismaModel>
-    in?: number[] | ListIntFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListIntFieldRefInput<$PrismaModel>
-    lt?: number | IntFieldRefInput<$PrismaModel>
-    lte?: number | IntFieldRefInput<$PrismaModel>
-    gt?: number | IntFieldRefInput<$PrismaModel>
-    gte?: number | IntFieldRefInput<$PrismaModel>
-    not?: NestedIntFilter<$PrismaModel> | number
-  }
-
-  export type NestedFloatFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel>
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatFilter<$PrismaModel> | number
-  }
-
-  export type NestedFloatNullableFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel> | null
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatNullableFilter<$PrismaModel> | number | null
-  }
-
-  export type NestedStringWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel>
-    in?: string[] | ListStringFieldRefInput<$PrismaModel>
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel>
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    not?: NestedStringWithAggregatesFilter<$PrismaModel> | string
-    _count?: NestedIntFilter<$PrismaModel>
-    _min?: NestedStringFilter<$PrismaModel>
-    _max?: NestedStringFilter<$PrismaModel>
-  }
-
-  export type NestedDateTimeWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    in?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    notIn?: Date[] | string[] | ListDateTimeFieldRefInput<$PrismaModel>
-    lt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    lte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gt?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    gte?: Date | string | DateTimeFieldRefInput<$PrismaModel>
-    not?: NestedDateTimeWithAggregatesFilter<$PrismaModel> | Date | string
-    _count?: NestedIntFilter<$PrismaModel>
-    _min?: NestedDateTimeFilter<$PrismaModel>
-    _max?: NestedDateTimeFilter<$PrismaModel>
-  }
-
-  export type NestedStringNullableWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: string | StringFieldRefInput<$PrismaModel> | null
-    in?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    notIn?: string[] | ListStringFieldRefInput<$PrismaModel> | null
-    lt?: string | StringFieldRefInput<$PrismaModel>
-    lte?: string | StringFieldRefInput<$PrismaModel>
-    gt?: string | StringFieldRefInput<$PrismaModel>
-    gte?: string | StringFieldRefInput<$PrismaModel>
-    contains?: string | StringFieldRefInput<$PrismaModel>
-    startsWith?: string | StringFieldRefInput<$PrismaModel>
-    endsWith?: string | StringFieldRefInput<$PrismaModel>
-    not?: NestedStringNullableWithAggregatesFilter<$PrismaModel> | string | null
-    _count?: NestedIntNullableFilter<$PrismaModel>
-    _min?: NestedStringNullableFilter<$PrismaModel>
-    _max?: NestedStringNullableFilter<$PrismaModel>
-  }
-
-  export type NestedIntNullableFilter<$PrismaModel = never> = {
-    equals?: number | IntFieldRefInput<$PrismaModel> | null
-    in?: number[] | ListIntFieldRefInput<$PrismaModel> | null
-    notIn?: number[] | ListIntFieldRefInput<$PrismaModel> | null
-    lt?: number | IntFieldRefInput<$PrismaModel>
-    lte?: number | IntFieldRefInput<$PrismaModel>
-    gt?: number | IntFieldRefInput<$PrismaModel>
-    gte?: number | IntFieldRefInput<$PrismaModel>
-    not?: NestedIntNullableFilter<$PrismaModel> | number | null
-  }
-
-  export type NestedIntWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | IntFieldRefInput<$PrismaModel>
-    in?: number[] | ListIntFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListIntFieldRefInput<$PrismaModel>
-    lt?: number | IntFieldRefInput<$PrismaModel>
-    lte?: number | IntFieldRefInput<$PrismaModel>
-    gt?: number | IntFieldRefInput<$PrismaModel>
-    gte?: number | IntFieldRefInput<$PrismaModel>
-    not?: NestedIntWithAggregatesFilter<$PrismaModel> | number
-    _count?: NestedIntFilter<$PrismaModel>
-    _avg?: NestedFloatFilter<$PrismaModel>
-    _sum?: NestedIntFilter<$PrismaModel>
-    _min?: NestedIntFilter<$PrismaModel>
-    _max?: NestedIntFilter<$PrismaModel>
-  }
-
-  export type NestedFloatWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel>
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel>
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatWithAggregatesFilter<$PrismaModel> | number
-    _count?: NestedIntFilter<$PrismaModel>
-    _avg?: NestedFloatFilter<$PrismaModel>
-    _sum?: NestedFloatFilter<$PrismaModel>
-    _min?: NestedFloatFilter<$PrismaModel>
-    _max?: NestedFloatFilter<$PrismaModel>
-  }
-
-  export type NestedFloatNullableWithAggregatesFilter<$PrismaModel = never> = {
-    equals?: number | FloatFieldRefInput<$PrismaModel> | null
-    in?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    notIn?: number[] | ListFloatFieldRefInput<$PrismaModel> | null
-    lt?: number | FloatFieldRefInput<$PrismaModel>
-    lte?: number | FloatFieldRefInput<$PrismaModel>
-    gt?: number | FloatFieldRefInput<$PrismaModel>
-    gte?: number | FloatFieldRefInput<$PrismaModel>
-    not?: NestedFloatNullableWithAggregatesFilter<$PrismaModel> | number | null
-    _count?: NestedIntNullableFilter<$PrismaModel>
-    _avg?: NestedFloatNullableFilter<$PrismaModel>
-    _sum?: NestedFloatNullableFilter<$PrismaModel>
-    _min?: NestedFloatNullableFilter<$PrismaModel>
-    _max?: NestedFloatNullableFilter<$PrismaModel>
-  }
-
-
-
-  /**
-   * Batch Payload for updateMany & deleteMany & createMany
-   */
-
-  export type BatchPayload = {
-    count: number
-  }
-
-  /**
-   * DMMF
-   */
-  export const dmmf: runtime.BaseDMMF
-}
\ No newline at end of file
diff --git a/server/src/generated/prisma/index.js b/server/src/generated/prisma/index.js
deleted file mode 100644
index 907b545..0000000
--- a/server/src/generated/prisma/index.js
+++ /dev/null
@@ -1,221 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-
-Object.defineProperty(exports, "__esModule", { value: true });
-
-const {
-  PrismaClientKnownRequestError,
-  PrismaClientUnknownRequestError,
-  PrismaClientRustPanicError,
-  PrismaClientInitializationError,
-  PrismaClientValidationError,
-  getPrismaClient,
-  sqltag,
-  empty,
-  join,
-  raw,
-  skip,
-  Decimal,
-  Debug,
-  objectEnumValues,
-  makeStrictEnum,
-  Extensions,
-  warnOnce,
-  defineDmmfProperty,
-  Public,
-  getRuntime,
-  createParam,
-} = require('./runtime/library.js')
-
-
-const Prisma = {}
-
-exports.Prisma = Prisma
-exports.$Enums = {}
-
-/**
- * Prisma Client JS version: 6.16.3
- * Query Engine version: bb420e667c1820a8c05a38023385f6cc7ef8e83a
- */
-Prisma.prismaVersion = {
-  client: "6.16.3",
-  engine: "bb420e667c1820a8c05a38023385f6cc7ef8e83a"
-}
-
-Prisma.PrismaClientKnownRequestError = PrismaClientKnownRequestError;
-Prisma.PrismaClientUnknownRequestError = PrismaClientUnknownRequestError
-Prisma.PrismaClientRustPanicError = PrismaClientRustPanicError
-Prisma.PrismaClientInitializationError = PrismaClientInitializationError
-Prisma.PrismaClientValidationError = PrismaClientValidationError
-Prisma.Decimal = Decimal
-
-/**
- * Re-export of sql-template-tag
- */
-Prisma.sql = sqltag
-Prisma.empty = empty
-Prisma.join = join
-Prisma.raw = raw
-Prisma.validator = Public.validator
-
-/**
-* Extensions
-*/
-Prisma.getExtensionContext = Extensions.getExtensionContext
-Prisma.defineExtension = Extensions.defineExtension
-
-/**
- * Shorthand utilities for JSON filtering
- */
-Prisma.DbNull = objectEnumValues.instances.DbNull
-Prisma.JsonNull = objectEnumValues.instances.JsonNull
-Prisma.AnyNull = objectEnumValues.instances.AnyNull
-
-Prisma.NullTypes = {
-  DbNull: objectEnumValues.classes.DbNull,
-  JsonNull: objectEnumValues.classes.JsonNull,
-  AnyNull: objectEnumValues.classes.AnyNull
-}
-
-
-
-
-  const path = require('path')
-
-/**
- * Enums
- */
-exports.Prisma.TransactionIsolationLevel = makeStrictEnum({
-  ReadUncommitted: 'ReadUncommitted',
-  ReadCommitted: 'ReadCommitted',
-  RepeatableRead: 'RepeatableRead',
-  Serializable: 'Serializable'
-});
-
-exports.Prisma.BenchmarkScalarFieldEnum = {
-  id: 'id',
-  createdAt: 'createdAt',
-  cpuModel: 'cpuModel',
-  gpuModel: 'gpuModel',
-  ramGB: 'ramGB',
-  os: 'os',
-  codec: 'codec',
-  preset: 'preset',
-  fps: 'fps',
-  vmaf: 'vmaf',
-  fileSizeBytes: 'fileSizeBytes',
-  notes: 'notes'
-};
-
-exports.Prisma.SortOrder = {
-  asc: 'asc',
-  desc: 'desc'
-};
-
-exports.Prisma.QueryMode = {
-  default: 'default',
-  insensitive: 'insensitive'
-};
-
-exports.Prisma.NullsOrder = {
-  first: 'first',
-  last: 'last'
-};
-
-
-exports.Prisma.ModelName = {
-  Benchmark: 'Benchmark'
-};
-/**
- * Create the Client
- */
-const config = {
-  "generator": {
-    "name": "client",
-    "provider": {
-      "fromEnvVar": null,
-      "value": "prisma-client-js"
-    },
-    "output": {
-      "value": "/Users/ofhd/Developer/Encoding_Database/server/src/generated/prisma",
-      "fromEnvVar": null
-    },
-    "config": {
-      "engineType": "library"
-    },
-    "binaryTargets": [
-      {
-        "fromEnvVar": null,
-        "value": "darwin-arm64",
-        "native": true
-      }
-    ],
-    "previewFeatures": [],
-    "sourceFilePath": "/Users/ofhd/Developer/Encoding_Database/server/prisma/schema.prisma",
-    "isCustomOutput": true
-  },
-  "relativeEnvPaths": {
-    "rootEnvPath": null,
-    "schemaEnvPath": "../../../.env"
-  },
-  "relativePath": "../../../prisma",
-  "clientVersion": "6.16.3",
-  "engineVersion": "bb420e667c1820a8c05a38023385f6cc7ef8e83a",
-  "datasourceNames": [
-    "db"
-  ],
-  "activeProvider": "postgresql",
-  "inlineDatasources": {
-    "db": {
-      "url": {
-        "fromEnvVar": "DATABASE_URL",
-        "value": null
-      }
-    }
-  },
-  "inlineSchema": "// This is your Prisma schema file,\n// learn more about it in the docs: https://pris.ly/d/prisma-schema\n\n// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?\n// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init\n\ngenerator client {\n  provider = \"prisma-client-js\"\n  output   = \"../src/generated/prisma\"\n}\n\ndatasource db {\n  provider = \"postgresql\"\n  url      = env(\"DATABASE_URL\")\n}\n\nmodel Benchmark {\n  id        String   @id @default(cuid())\n  createdAt DateTime @default(now())\n\n  // Hardware info\n  cpuModel String\n  gpuModel String?\n  ramGB    Int\n  os       String\n\n  // Test parameters\n  codec  String\n  preset String\n\n  // Results\n  fps           Float\n  vmaf          Float?\n  fileSizeBytes Int\n\n  notes String?\n}\n",
-  "inlineSchemaHash": "0b4063a64cc80968a4cd079df98a39d02545d0a08e8124ec46cf7be4e862960d",
-  "copyEngine": true
-}
-
-const fs = require('fs')
-
-config.dirname = __dirname
-if (!fs.existsSync(path.join(__dirname, 'schema.prisma'))) {
-  const alternativePaths = [
-    "src/generated/prisma",
-    "generated/prisma",
-  ]
-  
-  const alternativePath = alternativePaths.find((altPath) => {
-    return fs.existsSync(path.join(process.cwd(), altPath, 'schema.prisma'))
-  }) ?? alternativePaths[0]
-
-  config.dirname = path.join(process.cwd(), alternativePath)
-  config.isBundled = true
-}
-
-config.runtimeDataModel = JSON.parse("{\"models\":{\"Benchmark\":{\"dbName\":null,\"schema\":null,\"fields\":[{\"name\":\"id\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":true,\"isReadOnly\":false,\"hasDefaultValue\":true,\"type\":\"String\",\"nativeType\":null,\"default\":{\"name\":\"cuid\",\"args\":[1]},\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"createdAt\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":true,\"type\":\"DateTime\",\"nativeType\":null,\"default\":{\"name\":\"now\",\"args\":[]},\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"cpuModel\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"gpuModel\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"ramGB\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Int\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"os\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"codec\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"preset\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"fps\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Float\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"vmaf\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Float\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"fileSizeBytes\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":true,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"Int\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false},{\"name\":\"notes\",\"kind\":\"scalar\",\"isList\":false,\"isRequired\":false,\"isUnique\":false,\"isId\":false,\"isReadOnly\":false,\"hasDefaultValue\":false,\"type\":\"String\",\"nativeType\":null,\"isGenerated\":false,\"isUpdatedAt\":false}],\"primaryKey\":null,\"uniqueFields\":[],\"uniqueIndexes\":[],\"isGenerated\":false}},\"enums\":{},\"types\":{}}")
-defineDmmfProperty(exports.Prisma, config.runtimeDataModel)
-config.engineWasm = undefined
-config.compilerWasm = undefined
-
-
-const { warnEnvConflicts } = require('./runtime/library.js')
-
-warnEnvConflicts({
-    rootEnvPath: config.relativeEnvPaths.rootEnvPath && path.resolve(config.dirname, config.relativeEnvPaths.rootEnvPath),
-    schemaEnvPath: config.relativeEnvPaths.schemaEnvPath && path.resolve(config.dirname, config.relativeEnvPaths.schemaEnvPath)
-})
-
-const PrismaClient = getPrismaClient(config)
-exports.PrismaClient = PrismaClient
-Object.assign(exports, Prisma)
-
-// file annotations for bundling tools to include these files
-path.join(__dirname, "libquery_engine-darwin-arm64.dylib.node");
-path.join(process.cwd(), "src/generated/prisma/libquery_engine-darwin-arm64.dylib.node")
-// file annotations for bundling tools to include these files
-path.join(__dirname, "schema.prisma");
-path.join(process.cwd(), "src/generated/prisma/schema.prisma")
diff --git a/server/src/generated/prisma/libquery_engine-darwin-arm64.dylib.node b/server/src/generated/prisma/libquery_engine-darwin-arm64.dylib.node
deleted file mode 100755
index f678626aefa60e2c66dceb58da9327afa326b044..0000000000000000000000000000000000000000
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diff --git a/server/src/generated/prisma/package.json b/server/src/generated/prisma/package.json
deleted file mode 100644
index 8dc95c1..0000000
--- a/server/src/generated/prisma/package.json
+++ /dev/null
@@ -1,183 +0,0 @@
-{
-  "name": "prisma-client-3c0664d053ffc7799087baee8176121a59ad85c200292907f6e86bb2f7cfc727",
-  "main": "index.js",
-  "types": "index.d.ts",
-  "browser": "default.js",
-  "exports": {
-    "./client": {
-      "require": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "import": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "default": "./index.js"
-    },
-    "./package.json": "./package.json",
-    ".": {
-      "require": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "import": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "default": "./index.js"
-    },
-    "./edge": {
-      "types": "./edge.d.ts",
-      "require": "./edge.js",
-      "import": "./edge.js",
-      "default": "./edge.js"
-    },
-    "./react-native": {
-      "types": "./react-native.d.ts",
-      "require": "./react-native.js",
-      "import": "./react-native.js",
-      "default": "./react-native.js"
-    },
-    "./extension": {
-      "types": "./extension.d.ts",
-      "require": "./extension.js",
-      "import": "./extension.js",
-      "default": "./extension.js"
-    },
-    "./index-browser": {
-      "types": "./index.d.ts",
-      "require": "./index-browser.js",
-      "import": "./index-browser.js",
-      "default": "./index-browser.js"
-    },
-    "./index": {
-      "types": "./index.d.ts",
-      "require": "./index.js",
-      "import": "./index.js",
-      "default": "./index.js"
-    },
-    "./wasm": {
-      "types": "./wasm.d.ts",
-      "require": "./wasm.js",
-      "import": "./wasm.mjs",
-      "default": "./wasm.mjs"
-    },
-    "./runtime/client": {
-      "types": "./runtime/client.d.ts",
-      "node": {
-        "require": "./runtime/client.js",
-        "default": "./runtime/client.js"
-      },
-      "require": "./runtime/client.js",
-      "import": "./runtime/client.mjs",
-      "default": "./runtime/client.mjs"
-    },
-    "./runtime/library": {
-      "types": "./runtime/library.d.ts",
-      "require": "./runtime/library.js",
-      "import": "./runtime/library.mjs",
-      "default": "./runtime/library.mjs"
-    },
-    "./runtime/binary": {
-      "types": "./runtime/binary.d.ts",
-      "require": "./runtime/binary.js",
-      "import": "./runtime/binary.mjs",
-      "default": "./runtime/binary.mjs"
-    },
-    "./runtime/wasm-engine-edge": {
-      "types": "./runtime/wasm-engine-edge.d.ts",
-      "require": "./runtime/wasm-engine-edge.js",
-      "import": "./runtime/wasm-engine-edge.mjs",
-      "default": "./runtime/wasm-engine-edge.mjs"
-    },
-    "./runtime/wasm-compiler-edge": {
-      "types": "./runtime/wasm-compiler-edge.d.ts",
-      "require": "./runtime/wasm-compiler-edge.js",
-      "import": "./runtime/wasm-compiler-edge.mjs",
-      "default": "./runtime/wasm-compiler-edge.mjs"
-    },
-    "./runtime/edge": {
-      "types": "./runtime/edge.d.ts",
-      "require": "./runtime/edge.js",
-      "import": "./runtime/edge-esm.js",
-      "default": "./runtime/edge-esm.js"
-    },
-    "./runtime/react-native": {
-      "types": "./runtime/react-native.d.ts",
-      "require": "./runtime/react-native.js",
-      "import": "./runtime/react-native.js",
-      "default": "./runtime/react-native.js"
-    },
-    "./runtime/index-browser": {
-      "types": "./runtime/index-browser.d.ts",
-      "require": "./runtime/index-browser.js",
-      "import": "./runtime/index-browser.mjs",
-      "default": "./runtime/index-browser.mjs"
-    },
-    "./generator-build": {
-      "require": "./generator-build/index.js",
-      "import": "./generator-build/index.js",
-      "default": "./generator-build/index.js"
-    },
-    "./sql": {
-      "require": {
-        "types": "./sql.d.ts",
-        "node": "./sql.js",
-        "default": "./sql.js"
-      },
-      "import": {
-        "types": "./sql.d.ts",
-        "node": "./sql.mjs",
-        "default": "./sql.mjs"
-      },
-      "default": "./sql.js"
-    },
-    "./*": "./*"
-  },
-  "version": "6.16.3",
-  "sideEffects": false,
-  "imports": {
-    "#wasm-engine-loader": {
-      "edge-light": "./wasm-edge-light-loader.mjs",
-      "workerd": "./wasm-worker-loader.mjs",
-      "worker": "./wasm-worker-loader.mjs",
-      "default": "./wasm-worker-loader.mjs"
-    },
-    "#main-entry-point": {
-      "require": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "import": {
-        "node": "./index.js",
-        "edge-light": "./wasm.js",
-        "workerd": "./wasm.js",
-        "worker": "./wasm.js",
-        "browser": "./index-browser.js",
-        "default": "./index.js"
-      },
-      "default": "./index.js"
-    }
-  }
-}
\ No newline at end of file
diff --git a/server/src/generated/prisma/query_engine_bg.js b/server/src/generated/prisma/query_engine_bg.js
deleted file mode 100644
index e28846e..0000000
--- a/server/src/generated/prisma/query_engine_bg.js
+++ /dev/null
@@ -1,2 +0,0 @@
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diff --git a/server/src/generated/prisma/runtime/edge-esm.js b/server/src/generated/prisma/runtime/edge-esm.js
deleted file mode 100644
index 1b4d3eb..0000000
--- a/server/src/generated/prisma/runtime/edge-esm.js
+++ /dev/null
@@ -1,34 +0,0 @@
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diff --git a/server/src/generated/prisma/runtime/edge.js b/server/src/generated/prisma/runtime/edge.js
deleted file mode 100644
index 0c2d29a..0000000
--- a/server/src/generated/prisma/runtime/edge.js
+++ /dev/null
@@ -1,34 +0,0 @@
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-Learn how: https://pris.ly/d/${Ss[t]}-build`;throw console.error(i),new Q(i,r)}}f();u();c();p();m();function Os(e,t){return e?e.datasources?e.datasources:e.datasourceUrl?{[t[0]]:{url:e.datasourceUrl}}:{}:{}}f();u();c();p();m();f();u();c();p();m();f();u();c();p();m();f();u();c();p();m();f();u();c();p();m();function ks(e,t){throw new Error(t)}function Qc(e){return e!==null&&typeof e=="object"&&typeof e.$type=="string"}function Kc(e,t){let r={};for(let n of Object.keys(e))r[n]=t(e[n],n);return r}function dt(e){return e===null?e:Array.isArray(e)?e.map(dt):typeof e=="object"?Qc(e)?Wc(e):e.constructor!==null&&e.constructor.name!=="Object"?e:Kc(e,dt):e}function Wc({$type:e,value:t}){switch(e){case"BigInt":return BigInt(t);case"Bytes":{let{buffer:r,byteOffset:n,byteLength:i}=w.Buffer.from(t,"base64");return new Uint8Array(r,n,i)}case"DateTime":return new Date(t);case"Decimal":return new Te(t);case"Json":return JSON.parse(t);default:ks(t,"Unknown tagged value")}}var Ds="6.16.3";f();u();c();p();m();f();u();c();p();m();f();u();c();p();m();var zc=()=>globalThis.process?.release?.name==="node",Yc=()=>!!globalThis.Bun||!!globalThis.process?.versions?.bun,Zc=()=>!!globalThis.Deno,Xc=()=>typeof globalThis.Netlify=="object",ep=()=>typeof globalThis.EdgeRuntime=="object",tp=()=>globalThis.navigator?.userAgent==="Cloudflare-Workers";function rp(){return[[Xc,"netlify"],[ep,"edge-light"],[tp,"workerd"],[Zc,"deno"],[Yc,"bun"],[zc,"node"]].flatMap(r=>r[0]()?[r[1]]:[]).at(0)??""}var np={node:"Node.js",workerd:"Cloudflare Workers",deno:"Deno and Deno Deploy",netlify:"Netlify Edge Functions","edge-light":"Edge Runtime (Vercel Edge Functions, Vercel Edge Middleware, Next.js (Pages Router) Edge API Routes, Next.js (App Router) Edge Route Handlers or Next.js Middleware)"};function Zr(){let e=rp();return{id:e,prettyName:np[e]||e,isEdge:["workerd","deno","netlify","edge-light"].includes(e)}}function gt({inlineDatasources:e,overrideDatasources:t,env:r,clientVersion:n}){let i,o=Object.keys(e)[0],s=e[o]?.url,a=t[o]?.url;if(o===void 0?i=void 0:a?i=a:s?.value?i=s.value:s?.fromEnvVar&&(i=r[s.fromEnvVar]),s?.fromEnvVar!==void 0&&i===void 0)throw Zr().id==="workerd"?new Q(`error: Environment variable not found: ${s.fromEnvVar}.
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-In Cloudflare module Workers, environment variables are available only in the Worker's \`env\` parameter of \`fetch\`.
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r=="string")switch(r){case"InternalDataProxyError":return{type:"DataProxyError",body:r};default:return{type:"UnknownTextError",body:r}}if(typeof r=="object"&&r!==null){if("is_panic"in r&&"message"in r&&"error_code"in r)return{type:"QueryEngineError",body:r};if("EngineNotStarted"in r||"InteractiveTransactionMisrouted"in r||"InvalidRequestError"in r){let n=Object.values(r)[0].reason;return typeof n=="string"&&!["SchemaMissing","EngineVersionNotSupported"].includes(n)?{type:"UnknownJsonError",body:r}:{type:"DataProxyError",body:r}}}return{type:"UnknownJsonError",body:r}}catch{return t===""?{type:"EmptyError"}:{type:"UnknownTextError",body:t}}}async function rr(e,t){if(e.ok)return;let r={clientVersion:t,response:e},n=await ap(e);if(n.type==="QueryEngineError")throw new ne(n.body.message,{code:n.body.error_code,clientVersion:t});if(n.type==="DataProxyError"){if(n.body==="InternalDataProxyError")throw new yt(r,"Internal Data Proxy error");if("EngineNotStarted"in n.body){if(n.body.EngineNotStarted.reason==="SchemaMissing")return new $e(r);if(n.body.EngineNotStarted.reason==="EngineVersionNotSupported")throw new Ht(r);if("EngineStartupError"in n.body.EngineNotStarted.reason){let{msg:i,logs:o}=n.body.EngineNotStarted.reason.EngineStartupError;throw new Wt(r,i,o)}if("KnownEngineStartupError"in n.body.EngineNotStarted.reason){let{msg:i,error_code:o}=n.body.EngineNotStarted.reason.KnownEngineStartupError;throw new Q(i,t,o)}if("HealthcheckTimeout"in n.body.EngineNotStarted.reason){let{logs:i}=n.body.EngineNotStarted.reason.HealthcheckTimeout;throw new Kt(r,i)}}if("InteractiveTransactionMisrouted"in n.body){let i={IDParseError:"Could not parse interactive transaction ID",NoQueryEngineFoundError:"Could not find Query Engine for the specified host and transaction ID",TransactionStartError:"Could not start interactive transaction"};throw new Yt(r,i[n.body.InteractiveTransactionMisrouted.reason])}if("InvalidRequestError"in n.body)throw new Zt(r,n.body.InvalidRequestError.reason)}if(e.status===401||e.status===403)throw new er(r,wt(ri,n));if(e.status===404)return new Xt(r,wt(ei,n));if(e.status===429)throw new tr(r,wt(ni,n));if(e.status===504)throw new zt(r,wt(Xn,n));if(e.status>=500)throw new yt(r,wt(ti,n));if(e.status>=400)throw new Qt(r,wt(Zn,n))}function wt(e,t){return t.type==="EmptyError"?e:`${e}: ${JSON.stringify(t)}`}f();u();c();p();m();function Ns(e){let t=Math.pow(2,e)*50,r=Math.ceil(Math.random()*t)-Math.ceil(t/2),n=t+r;return new Promise(i=>setTimeout(()=>i(n),n))}f();u();c();p();m();var Ce="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";function Fs(e){let t=new TextEncoder().encode(e),r="",n=t.byteLength,i=n%3,o=n-i,s,a,l,d,g;for(let h=0;h<o;h=h+3)g=t[h]<<16|t[h+1]<<8|t[h+2],s=(g&16515072)>>18,a=(g&258048)>>12,l=(g&4032)>>6,d=g&63,r+=Ce[s]+Ce[a]+Ce[l]+Ce[d];return i==1?(g=t[o],s=(g&252)>>2,a=(g&3)<<4,r+=Ce[s]+Ce[a]+"=="):i==2&&(g=t[o]<<8|t[o+1],s=(g&64512)>>10,a=(g&1008)>>4,l=(g&15)<<2,r+=Ce[s]+Ce[a]+Ce[l]+"="),r}f();u();c();p();m();function Ls(e){if(!!e.generator?.previewFeatures.some(r=>r.toLowerCase().includes("metrics")))throw new Q("The `metrics` preview feature is not yet available with Accelerate.\nPlease remove `metrics` from the `previewFeatures` in your schema.\n\nMore information about Accelerate: https://pris.ly/d/accelerate",e.clientVersion)}f();u();c();p();m();var Us={"@prisma/debug":"workspace:*","@prisma/engines-version":"6.16.1-1.bb420e667c1820a8c05a38023385f6cc7ef8e83a","@prisma/fetch-engine":"workspace:*","@prisma/get-platform":"workspace:*"};f();u();c();p();m();f();u();c();p();m();var nr=class extends ae{name="RequestError";code="P5010";constructor(t,r){super(`Cannot fetch data from service:
-${t}`,U(r,!0))}};N(nr,"RequestError");async function je(e,t,r=n=>n){let{clientVersion:n,...i}=t,o=r(fetch);try{return await o(e,i)}catch(s){let a=s.message??"Unknown error";throw new nr(a,{clientVersion:n,cause:s})}}var up=/^[1-9][0-9]*\.[0-9]+\.[0-9]+$/,Bs=z("prisma:client:dataproxyEngine");async function cp(e,t){let r=Us["@prisma/engines-version"],n=t.clientVersion??"unknown";if(y.env.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION||globalThis.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION)return y.env.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION||globalThis.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION;if(e.includes("accelerate")&&n!=="0.0.0"&&n!=="in-memory")return n;let[i,o]=n?.split("-")??[];if(o===void 0&&up.test(i))return i;if(o!==void 0||n==="0.0.0"||n==="in-memory"){let[s]=r.split("-")??[],[a,l,d]=s.split("."),g=pp(`<=${a}.${l}.${d}`),h=await je(g,{clientVersion:n});if(!h.ok)throw new Error(`Failed to fetch stable Prisma version, unpkg.com status ${h.status} ${h.statusText}, response body: ${await h.text()||"<empty body>"}`);let T=await h.text();Bs("length of body fetched from unpkg.com",T.length);let I;try{I=JSON.parse(T)}catch(S){throw console.error("JSON.parse error: body fetched from unpkg.com: ",T),S}return I.version}throw new Ve("Only `major.minor.patch` versions are supported by Accelerate.",{clientVersion:n})}async function qs(e,t){let r=await cp(e,t);return Bs("version",r),r}function pp(e){return encodeURI(`https://unpkg.com/prisma@${e}/package.json`)}var Vs=3,ir=z("prisma:client:dataproxyEngine"),Et=class{name="DataProxyEngine";inlineSchema;inlineSchemaHash;inlineDatasources;config;logEmitter;env;clientVersion;engineHash;tracingHelper;remoteClientVersion;host;headerBuilder;startPromise;protocol;constructor(t){Ls(t),this.config=t,this.env=t.env,this.inlineSchema=Fs(t.inlineSchema),this.inlineDatasources=t.inlineDatasources,this.inlineSchemaHash=t.inlineSchemaHash,this.clientVersion=t.clientVersion,this.engineHash=t.engineVersion,this.logEmitter=t.logEmitter,this.tracingHelper=t.tracingHelper}apiKey(){return this.headerBuilder.apiKey}version(){return this.engineHash}async start(){this.startPromise!==void 0&&await this.startPromise,this.startPromise=(async()=>{let{apiKey:t,url:r}=this.getURLAndAPIKey();this.host=r.host,this.protocol=r.protocol,this.headerBuilder=new en({apiKey:t,tracingHelper:this.tracingHelper,logLevel:this.config.logLevel??"error",logQueries:this.config.logQueries,engineHash:this.engineHash}),this.remoteClientVersion=await qs(this.host,this.config),ir("host",this.host),ir("protocol",this.protocol)})(),await this.startPromise}async stop(){}propagateResponseExtensions(t){t?.logs?.length&&t.logs.forEach(r=>{switch(r.level){case"debug":case"trace":ir(r);break;case"error":case"warn":case"info":{this.logEmitter.emit(r.level,{timestamp:Yn(r.timestamp),message:r.attributes.message??"",target:r.target??"BinaryEngine"});break}case"query":{this.logEmitter.emit("query",{query:r.attributes.query??"",timestamp:Yn(r.timestamp),duration:r.attributes.duration_ms??0,params:r.attributes.params??"",target:r.target??"BinaryEngine"});break}default:r.level}}),t?.traces?.length&&this.tracingHelper.dispatchEngineSpans(t.traces)}onBeforeExit(){throw new Error('"beforeExit" hook is not applicable to the remote query engine')}async url(t){return await this.start(),`${this.protocol}//${this.host}/${this.remoteClientVersion}/${this.inlineSchemaHash}/${t}`}async uploadSchema(){let t={name:"schemaUpload",internal:!0};return this.tracingHelper.runInChildSpan(t,async()=>{let r=await je(await this.url("schema"),{method:"PUT",headers:this.headerBuilder.build(),body:this.inlineSchema,clientVersion:this.clientVersion});r.ok||ir("schema response status",r.status);let n=await rr(r,this.clientVersion);if(n)throw this.logEmitter.emit("warn",{message:`Error while uploading schema: ${n.message}`,timestamp:new Date,target:""}),n;this.logEmitter.emit("info",{message:`Schema (re)uploaded (hash: ${this.inlineSchemaHash})`,timestamp:new Date,target:""})})}request(t,{traceparent:r,interactiveTransaction:n,customDataProxyFetch:i}){return this.requestInternal({body:t,traceparent:r,interactiveTransaction:n,customDataProxyFetch:i})}async requestBatch(t,{traceparent:r,transaction:n,customDataProxyFetch:i}){let o=n?.kind==="itx"?n.options:void 0,s=Wr(t,n);return(await this.requestInternal({body:s,customDataProxyFetch:i,interactiveTransaction:o,traceparent:r})).map(l=>(l.extensions&&this.propagateResponseExtensions(l.extensions),"errors"in l?this.convertProtocolErrorsToClientError(l.errors):l))}requestInternal({body:t,traceparent:r,customDataProxyFetch:n,interactiveTransaction:i}){return this.withRetry({actionGerund:"querying",callback:async({logHttpCall:o})=>{let s=i?`${i.payload.endpoint}/graphql`:await this.url("graphql");o(s);let a=await je(s,{method:"POST",headers:this.headerBuilder.build({traceparent:r,transactionId:i?.id}),body:JSON.stringify(t),clientVersion:this.clientVersion},n);a.ok||ir("graphql response status",a.status),await this.handleError(await rr(a,this.clientVersion));let l=await a.json();if(l.extensions&&this.propagateResponseExtensions(l.extensions),"errors"in l)throw this.convertProtocolErrorsToClientError(l.errors);return"batchResult"in l?l.batchResult:l}})}async transaction(t,r,n){let i={start:"starting",commit:"committing",rollback:"rolling back"};return this.withRetry({actionGerund:`${i[t]} transaction`,callback:async({logHttpCall:o})=>{if(t==="start"){let s=JSON.stringify({max_wait:n.maxWait,timeout:n.timeout,isolation_level:n.isolationLevel}),a=await this.url("transaction/start");o(a);let l=await je(a,{method:"POST",headers:this.headerBuilder.build({traceparent:r.traceparent}),body:s,clientVersion:this.clientVersion});await this.handleError(await rr(l,this.clientVersion));let d=await l.json(),{extensions:g}=d;g&&this.propagateResponseExtensions(g);let h=d.id,T=d["data-proxy"].endpoint;return{id:h,payload:{endpoint:T}}}else{let s=`${n.payload.endpoint}/${t}`;o(s);let a=await je(s,{method:"POST",headers:this.headerBuilder.build({traceparent:r.traceparent}),clientVersion:this.clientVersion});await this.handleError(await rr(a,this.clientVersion));let l=await a.json(),{extensions:d}=l;d&&this.propagateResponseExtensions(d);return}}})}getURLAndAPIKey(){return 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-
-${n}`}f();u();c();p();m();function da(e){return e.length===0?Promise.resolve([]):new Promise((t,r)=>{let n=new Array(e.length),i=null,o=!1,s=0,a=()=>{o||(s++,s===e.length&&(o=!0,i?r(i):t(n)))},l=d=>{o||(o=!0,r(d))};for(let d=0;d<e.length;d++)e[d].then(g=>{n[d]=g,a()},g=>{if(!tn(g)){l(g);return}g.batchRequestIdx===d?l(g):(i||(i=g),a())})})}var Fe=z("prisma:client");typeof globalThis=="object"&&(globalThis.NODE_CLIENT=!0);var Rp={requestArgsToMiddlewareArgs:e=>e,middlewareArgsToRequestArgs:e=>e},Cp=Symbol.for("prisma.client.transaction.id"),Sp={id:0,nextId(){return++this.id}};function ya(e){class t{_originalClient=this;_runtimeDataModel;_requestHandler;_connectionPromise;_disconnectionPromise;_engineConfig;_accelerateEngineConfig;_clientVersion;_errorFormat;_tracingHelper;_previewFeatures;_activeProvider;_globalOmit;_extensions;_engine;_appliedParent;_createPrismaPromise=si();constructor(n){e=n?.__internal?.configOverride?.(e)??e,Is(e),n&&fa(n,e);let i=new Jr().on("error",()=>{});this._extensions=ct.empty(),this._previewFeatures=Gs(e),this._clientVersion=e.clientVersion??aa,this._activeProvider=e.activeProvider,this._globalOmit=n?.omit,this._tracingHelper=ta();let o=e.relativeEnvPaths&&{rootEnvPath:e.relativeEnvPaths.rootEnvPath&&dr.resolve(e.dirname,e.relativeEnvPaths.rootEnvPath),schemaEnvPath:e.relativeEnvPaths.schemaEnvPath&&dr.resolve(e.dirname,e.relativeEnvPaths.schemaEnvPath)},s;if(n?.adapter){s=n.adapter;let l=e.activeProvider==="postgresql"||e.activeProvider==="cockroachdb"?"postgres":e.activeProvider;if(s.provider!==l)throw new Q(`The Driver Adapter \`${s.adapterName}\`, based on \`${s.provider}\`, is not compatible with the provider \`${l}\` specified in the Prisma schema.`,this._clientVersion);if(n.datasources||n.datasourceUrl!==void 0)throw new Q("Custom datasource configuration is not compatible with Prisma Driver Adapters. Please define the database connection string directly in the Driver Adapter configuration.",this._clientVersion)}let a=e.injectableEdgeEnv?.();try{let l=n??{},d=l.__internal??{},g=d.debug===!0;g&&z.enable("prisma:client");let h=dr.resolve(e.dirname,e.relativePath);Qi.existsSync(h)||(h=e.dirname),Fe("dirname",e.dirname),Fe("relativePath",e.relativePath),Fe("cwd",h);let T=d.engine||{};if(l.errorFormat?this._errorFormat=l.errorFormat:y.env.NODE_ENV==="production"?this._errorFormat="minimal":y.env.NO_COLOR?this._errorFormat="colorless":this._errorFormat="colorless",this._runtimeDataModel=e.runtimeDataModel,this._engineConfig={cwd:h,dirname:e.dirname,enableDebugLogs:g,allowTriggerPanic:T.allowTriggerPanic,prismaPath:T.binaryPath??void 0,engineEndpoint:T.endpoint,generator:e.generator,showColors:this._errorFormat==="pretty",logLevel:l.log&&na(l.log),logQueries:l.log&&!!(typeof l.log=="string"?l.log==="query":l.log.find(I=>typeof I=="string"?I==="query":I.level==="query")),env:a?.parsed??{},flags:[],engineWasm:e.engineWasm,compilerWasm:e.compilerWasm,clientVersion:e.clientVersion,engineVersion:e.engineVersion,previewFeatures:this._previewFeatures,activeProvider:e.activeProvider,inlineSchema:e.inlineSchema,overrideDatasources:Os(l,e.datasourceNames),inlineDatasources:e.inlineDatasources,inlineSchemaHash:e.inlineSchemaHash,tracingHelper:this._tracingHelper,transactionOptions:{maxWait:l.transactionOptions?.maxWait??2e3,timeout:l.transactionOptions?.timeout??5e3,isolationLevel:l.transactionOptions?.isolationLevel},logEmitter:i,isBundled:e.isBundled,adapter:s},this._accelerateEngineConfig={...this._engineConfig,accelerateUtils:{resolveDatasourceUrl:gt,getBatchRequestPayload:Wr,prismaGraphQLToJSError:Hr,PrismaClientUnknownRequestError:ie,PrismaClientInitializationError:Q,PrismaClientKnownRequestError:ne,debug:z("prisma:client:accelerateEngine"),engineVersion:ha.version,clientVersion:e.clientVersion}},Fe("clientVersion",e.clientVersion),this._engine=js(e,this._engineConfig),this._requestHandler=new on(this,i),l.log)for(let I of l.log){let S=typeof I=="string"?I:I.emit==="stdout"?I.level:null;S&&this.$on(S,C=>{Ct.log(`${Ct.tags[S]??""}`,C.message||C.query)})}}catch(l){throw l.clientVersion=this._clientVersion,l}return this._appliedParent=Gt(this)}get[Symbol.toStringTag](){return"PrismaClient"}$on(n,i){return n==="beforeExit"?this._engine.onBeforeExit(i):n&&this._engineConfig.logEmitter.on(n,i),this}$connect(){try{return this._engine.start()}catch(n){throw n.clientVersion=this._clientVersion,n}}async $disconnect(){try{await this._engine.stop()}catch(n){throw n.clientVersion=this._clientVersion,n}finally{Ji()}}$executeRawInternal(n,i,o,s){let a=this._activeProvider;return this._request({action:"executeRaw",args:o,transaction:n,clientMethod:i,argsMapper:oi({clientMethod:i,activeProvider:a}),callsite:Ne(this._errorFormat),dataPath:[],middlewareArgsMapper:s})}$executeRaw(n,...i){return this._createPrismaPromise(o=>{if(n.raw!==void 0||n.sql!==void 0){let[s,a]=ga(n,i);return ii(this._activeProvider,s.text,s.values,Array.isArray(n)?"prisma.$executeRaw`<SQL>`":"prisma.$executeRaw(sql`<SQL>`)"),this.$executeRawInternal(o,"$executeRaw",s,a)}throw new X("`$executeRaw` is a tag function, please use it like the following:\n```\nconst result = await prisma.$executeRaw`UPDATE User SET cool = ${true} WHERE email = ${'user@email.com'};`\n```\n\nOr read our docs at https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#executeraw\n",{clientVersion:this._clientVersion})})}$executeRawUnsafe(n,...i){return this._createPrismaPromise(o=>(ii(this._activeProvider,n,i,"prisma.$executeRawUnsafe(<SQL>, [...values])"),this.$executeRawInternal(o,"$executeRawUnsafe",[n,...i])))}$runCommandRaw(n){if(e.activeProvider!=="mongodb")throw new X(`The ${e.activeProvider} provider does not support $runCommandRaw. Use the mongodb provider.`,{clientVersion:this._clientVersion});return this._createPrismaPromise(i=>this._request({args:n,clientMethod:"$runCommandRaw",dataPath:[],action:"runCommandRaw",argsMapper:Js,callsite:Ne(this._errorFormat),transaction:i}))}async $queryRawInternal(n,i,o,s){let a=this._activeProvider;return this._request({action:"queryRaw",args:o,transaction:n,clientMethod:i,argsMapper:oi({clientMethod:i,activeProvider:a}),callsite:Ne(this._errorFormat),dataPath:[],middlewareArgsMapper:s})}$queryRaw(n,...i){return this._createPrismaPromise(o=>{if(n.raw!==void 0||n.sql!==void 0)return this.$queryRawInternal(o,"$queryRaw",...ga(n,i));throw new X("`$queryRaw` is a tag function, please use it like the following:\n```\nconst result = await prisma.$queryRaw`SELECT * FROM User WHERE id = ${1} OR email = ${'user@email.com'};`\n```\n\nOr read our docs at https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#queryraw\n",{clientVersion:this._clientVersion})})}$queryRawTyped(n){return this._createPrismaPromise(i=>{if(!this._hasPreviewFlag("typedSql"))throw new X("`typedSql` preview feature must be enabled in order to access $queryRawTyped API",{clientVersion:this._clientVersion});return this.$queryRawInternal(i,"$queryRawTyped",n)})}$queryRawUnsafe(n,...i){return this._createPrismaPromise(o=>this.$queryRawInternal(o,"$queryRawUnsafe",[n,...i]))}_transactionWithArray({promises:n,options:i}){let o=Sp.nextId(),s=ra(n.length),a=n.map((l,d)=>{if(l?.[Symbol.toStringTag]!=="PrismaPromise")throw new Error("All elements of the array need to be Prisma Client promises. Hint: Please make sure you are not awaiting the Prisma client calls you intended to pass in the $transaction function.");let g=i?.isolationLevel??this._engineConfig.transactionOptions.isolationLevel,h={kind:"batch",id:o,index:d,isolationLevel:g,lock:s};return l.requestTransaction?.(h)??l});return da(a)}async _transactionWithCallback({callback:n,options:i}){let o={traceparent:this._tracingHelper.getTraceParent()},s={maxWait:i?.maxWait??this._engineConfig.transactionOptions.maxWait,timeout:i?.timeout??this._engineConfig.transactionOptions.timeout,isolationLevel:i?.isolationLevel??this._engineConfig.transactionOptions.isolationLevel},a=await this._engine.transaction("start",o,s),l;try{let d={kind:"itx",...a};l=await n(this._createItxClient(d)),await this._engine.transaction("commit",o,a)}catch(d){throw await this._engine.transaction("rollback",o,a).catch(()=>{}),d}return l}_createItxClient(n){return me(Gt(me(ds(this),[te("_appliedParent",()=>this._appliedParent._createItxClient(n)),te("_createPrismaPromise",()=>si(n)),te(Cp,()=>n.id)])),[mt(Es)])}$transaction(n,i){let o;typeof n=="function"?this._engineConfig.adapter?.adapterName==="@prisma/adapter-d1"?o=()=>{throw new Error("Cloudflare D1 does not support interactive transactions. We recommend you to refactor your queries with that limitation in mind, and use batch transactions with `prisma.$transactions([])` where applicable.")}:o=()=>this._transactionWithCallback({callback:n,options:i}):o=()=>this._transactionWithArray({promises:n,options:i});let s={name:"transaction",attributes:{method:"$transaction"}};return this._tracingHelper.runInChildSpan(s,o)}_request(n){n.otelParentCtx=this._tracingHelper.getActiveContext();let i=n.middlewareArgsMapper??Rp,o={args:i.requestArgsToMiddlewareArgs(n.args),dataPath:n.dataPath,runInTransaction:!!n.transaction,action:n.action,model:n.model},s={operation:{name:"operation",attributes:{method:o.action,model:o.model,name:o.model?`${o.model}.${o.action}`:o.action}}},a=async l=>{let{runInTransaction:d,args:g,...h}=l,T={...n,...h};g&&(T.args=i.middlewareArgsToRequestArgs(g)),n.transaction!==void 0&&d===!1&&delete T.transaction;let I=await vs(this,T);return T.model?ws({result:I,modelName:T.model,args:T.args,extensions:this._extensions,runtimeDataModel:this._runtimeDataModel,globalOmit:this._globalOmit}):I};return this._tracingHelper.runInChildSpan(s.operation,()=>a(o))}async _executeRequest({args:n,clientMethod:i,dataPath:o,callsite:s,action:a,model:l,argsMapper:d,transaction:g,unpacker:h,otelParentCtx:T,customDataProxyFetch:I}){try{n=d?d(n):n;let S={name:"serialize"},C=this._tracingHelper.runInChildSpan(S,()=>$r({modelName:l,runtimeDataModel:this._runtimeDataModel,action:a,args:n,clientMethod:i,callsite:s,extensions:this._extensions,errorFormat:this._errorFormat,clientVersion:this._clientVersion,previewFeatures:this._previewFeatures,globalOmit:this._globalOmit}));return z.enabled("prisma:client")&&(Fe("Prisma Client call:"),Fe(`prisma.${i}(${is(n)})`),Fe("Generated request:"),Fe(JSON.stringify(C,null,2)+`
-`)),g?.kind==="batch"&&await g.lock,this._requestHandler.request({protocolQuery:C,modelName:l,action:a,clientMethod:i,dataPath:o,callsite:s,args:n,extensions:this._extensions,transaction:g,unpacker:h,otelParentCtx:T,otelChildCtx:this._tracingHelper.getActiveContext(),globalOmit:this._globalOmit,customDataProxyFetch:I})}catch(S){throw S.clientVersion=this._clientVersion,S}}$metrics=new pt(this);_hasPreviewFlag(n){return!!this._engineConfig.previewFeatures?.includes(n)}$applyPendingMigrations(){return this._engine.applyPendingMigrations()}$extends=gs}return t}function ga(e,t){return Ip(e)?[new se(e,t),Zs]:[e,Xs]}function Ip(e){return Array.isArray(e)&&Array.isArray(e.raw)}f();u();c();p();m();var Op=new Set(["toJSON","$$typeof","asymmetricMatch",Symbol.iterator,Symbol.toStringTag,Symbol.isConcatSpreadable,Symbol.toPrimitive]);function wa(e){return new Proxy(e,{get(t,r){if(r in t)return t[r];if(!Op.has(r))throw new TypeError(`Invalid enum value: ${String(r)}`)}})}f();u();c();p();m();0&&(module.exports={DMMF,Debug,Decimal,Extensions,MetricsClient,PrismaClientInitializationError,PrismaClientKnownRequestError,PrismaClientRustPanicError,PrismaClientUnknownRequestError,PrismaClientValidationError,Public,Sql,createParam,defineDmmfProperty,deserializeJsonResponse,deserializeRawResult,dmmfToRuntimeDataModel,empty,getPrismaClient,getRuntime,join,makeStrictEnum,makeTypedQueryFactory,objectEnumValues,raw,serializeJsonQuery,skip,sqltag,warnEnvConflicts,warnOnce});
-//# sourceMappingURL=edge.js.map
diff --git a/server/src/generated/prisma/runtime/index-browser.d.ts b/server/src/generated/prisma/runtime/index-browser.d.ts
deleted file mode 100644
index 0e96e4b..0000000
--- a/server/src/generated/prisma/runtime/index-browser.d.ts
+++ /dev/null
@@ -1,370 +0,0 @@
-declare class AnyNull extends NullTypesEnumValue {
-    #private;
-}
-
-declare type Args<T, F extends Operation> = T extends {
-    [K: symbol]: {
-        types: {
-            operations: {
-                [K in F]: {
-                    args: any;
-                };
-            };
-        };
-    };
-} ? T[symbol]['types']['operations'][F]['args'] : any;
-
-declare class DbNull extends NullTypesEnumValue {
-    #private;
-}
-
-export declare function Decimal(n: Decimal.Value): Decimal;
-
-export declare namespace Decimal {
-    export type Constructor = typeof Decimal;
-    export type Instance = Decimal;
-    export type Rounding = 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8;
-    export type Modulo = Rounding | 9;
-    export type Value = string | number | Decimal;
-
-    // http://mikemcl.github.io/decimal.js/#constructor-properties
-    export interface Config {
-        precision?: number;
-        rounding?: Rounding;
-        toExpNeg?: number;
-        toExpPos?: number;
-        minE?: number;
-        maxE?: number;
-        crypto?: boolean;
-        modulo?: Modulo;
-        defaults?: boolean;
-    }
-}
-
-export declare class Decimal {
-    readonly d: number[];
-    readonly e: number;
-    readonly s: number;
-
-    constructor(n: Decimal.Value);
-
-    absoluteValue(): Decimal;
-    abs(): Decimal;
-
-    ceil(): Decimal;
-
-    clampedTo(min: Decimal.Value, max: Decimal.Value): Decimal;
-    clamp(min: Decimal.Value, max: Decimal.Value): Decimal;
-
-    comparedTo(n: Decimal.Value): number;
-    cmp(n: Decimal.Value): number;
-
-    cosine(): Decimal;
-    cos(): Decimal;
-
-    cubeRoot(): Decimal;
-    cbrt(): Decimal;
-
-    decimalPlaces(): number;
-    dp(): number;
-
-    dividedBy(n: Decimal.Value): Decimal;
-    div(n: Decimal.Value): Decimal;
-
-    dividedToIntegerBy(n: Decimal.Value): Decimal;
-    divToInt(n: Decimal.Value): Decimal;
-
-    equals(n: Decimal.Value): boolean;
-    eq(n: Decimal.Value): boolean;
-
-    floor(): Decimal;
-
-    greaterThan(n: Decimal.Value): boolean;
-    gt(n: Decimal.Value): boolean;
-
-    greaterThanOrEqualTo(n: Decimal.Value): boolean;
-    gte(n: Decimal.Value): boolean;
-
-    hyperbolicCosine(): Decimal;
-    cosh(): Decimal;
-
-    hyperbolicSine(): Decimal;
-    sinh(): Decimal;
-
-    hyperbolicTangent(): Decimal;
-    tanh(): Decimal;
-
-    inverseCosine(): Decimal;
-    acos(): Decimal;
-
-    inverseHyperbolicCosine(): Decimal;
-    acosh(): Decimal;
-
-    inverseHyperbolicSine(): Decimal;
-    asinh(): Decimal;
-
-    inverseHyperbolicTangent(): Decimal;
-    atanh(): Decimal;
-
-    inverseSine(): Decimal;
-    asin(): Decimal;
-
-    inverseTangent(): Decimal;
-    atan(): Decimal;
-
-    isFinite(): boolean;
-
-    isInteger(): boolean;
-    isInt(): boolean;
-
-    isNaN(): boolean;
-
-    isNegative(): boolean;
-    isNeg(): boolean;
-
-    isPositive(): boolean;
-    isPos(): boolean;
-
-    isZero(): boolean;
-
-    lessThan(n: Decimal.Value): boolean;
-    lt(n: Decimal.Value): boolean;
-
-    lessThanOrEqualTo(n: Decimal.Value): boolean;
-    lte(n: Decimal.Value): boolean;
-
-    logarithm(n?: Decimal.Value): Decimal;
-    log(n?: Decimal.Value): Decimal;
-
-    minus(n: Decimal.Value): Decimal;
-    sub(n: Decimal.Value): Decimal;
-
-    modulo(n: Decimal.Value): Decimal;
-    mod(n: Decimal.Value): Decimal;
-
-    naturalExponential(): Decimal;
-    exp(): Decimal;
-
-    naturalLogarithm(): Decimal;
-    ln(): Decimal;
-
-    negated(): Decimal;
-    neg(): Decimal;
-
-    plus(n: Decimal.Value): Decimal;
-    add(n: Decimal.Value): Decimal;
-
-    precision(includeZeros?: boolean): number;
-    sd(includeZeros?: boolean): number;
-
-    round(): Decimal;
-
-    sine() : Decimal;
-    sin() : Decimal;
-
-    squareRoot(): Decimal;
-    sqrt(): Decimal;
-
-    tangent() : Decimal;
-    tan() : Decimal;
-
-    times(n: Decimal.Value): Decimal;
-    mul(n: Decimal.Value) : Decimal;
-
-    toBinary(significantDigits?: number): string;
-    toBinary(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toDecimalPlaces(decimalPlaces?: number): Decimal;
-    toDecimalPlaces(decimalPlaces: number, rounding: Decimal.Rounding): Decimal;
-    toDP(decimalPlaces?: number): Decimal;
-    toDP(decimalPlaces: number, rounding: Decimal.Rounding): Decimal;
-
-    toExponential(decimalPlaces?: number): string;
-    toExponential(decimalPlaces: number, rounding: Decimal.Rounding): string;
-
-    toFixed(decimalPlaces?: number): string;
-    toFixed(decimalPlaces: number, rounding: Decimal.Rounding): string;
-
-    toFraction(max_denominator?: Decimal.Value): Decimal[];
-
-    toHexadecimal(significantDigits?: number): string;
-    toHexadecimal(significantDigits: number, rounding: Decimal.Rounding): string;
-    toHex(significantDigits?: number): string;
-    toHex(significantDigits: number, rounding?: Decimal.Rounding): string;
-
-    toJSON(): string;
-
-    toNearest(n: Decimal.Value, rounding?: Decimal.Rounding): Decimal;
-
-    toNumber(): number;
-
-    toOctal(significantDigits?: number): string;
-    toOctal(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toPower(n: Decimal.Value): Decimal;
-    pow(n: Decimal.Value): Decimal;
-
-    toPrecision(significantDigits?: number): string;
-    toPrecision(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toSignificantDigits(significantDigits?: number): Decimal;
-    toSignificantDigits(significantDigits: number, rounding: Decimal.Rounding): Decimal;
-    toSD(significantDigits?: number): Decimal;
-    toSD(significantDigits: number, rounding: Decimal.Rounding): Decimal;
-
-    toString(): string;
-
-    truncated(): Decimal;
-    trunc(): Decimal;
-
-    valueOf(): string;
-
-    static abs(n: Decimal.Value): Decimal;
-    static acos(n: Decimal.Value): Decimal;
-    static acosh(n: Decimal.Value): Decimal;
-    static add(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static asin(n: Decimal.Value): Decimal;
-    static asinh(n: Decimal.Value): Decimal;
-    static atan(n: Decimal.Value): Decimal;
-    static atanh(n: Decimal.Value): Decimal;
-    static atan2(y: Decimal.Value, x: Decimal.Value): Decimal;
-    static cbrt(n: Decimal.Value): Decimal;
-    static ceil(n: Decimal.Value): Decimal;
-    static clamp(n: Decimal.Value, min: Decimal.Value, max: Decimal.Value): Decimal;
-    static clone(object?: Decimal.Config): Decimal.Constructor;
-    static config(object: Decimal.Config): Decimal.Constructor;
-    static cos(n: Decimal.Value): Decimal;
-    static cosh(n: Decimal.Value): Decimal;
-    static div(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static exp(n: Decimal.Value): Decimal;
-    static floor(n: Decimal.Value): Decimal;
-    static hypot(...n: Decimal.Value[]): Decimal;
-    static isDecimal(object: any): object is Decimal;
-    static ln(n: Decimal.Value): Decimal;
-    static log(n: Decimal.Value, base?: Decimal.Value): Decimal;
-    static log2(n: Decimal.Value): Decimal;
-    static log10(n: Decimal.Value): Decimal;
-    static max(...n: Decimal.Value[]): Decimal;
-    static min(...n: Decimal.Value[]): Decimal;
-    static mod(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static mul(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static noConflict(): Decimal.Constructor;   // Browser only
-    static pow(base: Decimal.Value, exponent: Decimal.Value): Decimal;
-    static random(significantDigits?: number): Decimal;
-    static round(n: Decimal.Value): Decimal;
-    static set(object: Decimal.Config): Decimal.Constructor;
-    static sign(n: Decimal.Value): number;
-    static sin(n: Decimal.Value): Decimal;
-    static sinh(n: Decimal.Value): Decimal;
-    static sqrt(n: Decimal.Value): Decimal;
-    static sub(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static sum(...n: Decimal.Value[]): Decimal;
-    static tan(n: Decimal.Value): Decimal;
-    static tanh(n: Decimal.Value): Decimal;
-    static trunc(n: Decimal.Value): Decimal;
-
-    static readonly default?: Decimal.Constructor;
-    static readonly Decimal?: Decimal.Constructor;
-
-    static readonly precision: number;
-    static readonly rounding: Decimal.Rounding;
-    static readonly toExpNeg: number;
-    static readonly toExpPos: number;
-    static readonly minE: number;
-    static readonly maxE: number;
-    static readonly crypto: boolean;
-    static readonly modulo: Decimal.Modulo;
-
-    static readonly ROUND_UP: 0;
-    static readonly ROUND_DOWN: 1;
-    static readonly ROUND_CEIL: 2;
-    static readonly ROUND_FLOOR: 3;
-    static readonly ROUND_HALF_UP: 4;
-    static readonly ROUND_HALF_DOWN: 5;
-    static readonly ROUND_HALF_EVEN: 6;
-    static readonly ROUND_HALF_CEIL: 7;
-    static readonly ROUND_HALF_FLOOR: 8;
-    static readonly EUCLID: 9;
-}
-
-declare type Exact<A, W> = (A extends unknown ? (W extends A ? {
-    [K in keyof A]: Exact<A[K], W[K]>;
-} : W) : never) | (A extends Narrowable ? A : never);
-
-export declare function getRuntime(): GetRuntimeOutput;
-
-declare type GetRuntimeOutput = {
-    id: RuntimeName;
-    prettyName: string;
-    isEdge: boolean;
-};
-
-declare class JsonNull extends NullTypesEnumValue {
-    #private;
-}
-
-/**
- * Generates more strict variant of an enum which, unlike regular enum,
- * throws on non-existing property access. This can be useful in following situations:
- * - we have an API, that accepts both `undefined` and `SomeEnumType` as an input
- * - enum values are generated dynamically from DMMF.
- *
- * In that case, if using normal enums and no compile-time typechecking, using non-existing property
- * will result in `undefined` value being used, which will be accepted. Using strict enum
- * in this case will help to have a runtime exception, telling you that you are probably doing something wrong.
- *
- * Note: if you need to check for existence of a value in the enum you can still use either
- * `in` operator or `hasOwnProperty` function.
- *
- * @param definition
- * @returns
- */
-export declare function makeStrictEnum<T extends Record<PropertyKey, string | number>>(definition: T): T;
-
-declare type Narrowable = string | number | bigint | boolean | [];
-
-declare class NullTypesEnumValue extends ObjectEnumValue {
-    _getNamespace(): string;
-}
-
-/**
- * Base class for unique values of object-valued enums.
- */
-declare abstract class ObjectEnumValue {
-    constructor(arg?: symbol);
-    abstract _getNamespace(): string;
-    _getName(): string;
-    toString(): string;
-}
-
-export declare const objectEnumValues: {
-    classes: {
-        DbNull: typeof DbNull;
-        JsonNull: typeof JsonNull;
-        AnyNull: typeof AnyNull;
-    };
-    instances: {
-        DbNull: DbNull;
-        JsonNull: JsonNull;
-        AnyNull: AnyNull;
-    };
-};
-
-declare type Operation = 'findFirst' | 'findFirstOrThrow' | 'findUnique' | 'findUniqueOrThrow' | 'findMany' | 'create' | 'createMany' | 'createManyAndReturn' | 'update' | 'updateMany' | 'updateManyAndReturn' | 'upsert' | 'delete' | 'deleteMany' | 'aggregate' | 'count' | 'groupBy' | '$queryRaw' | '$executeRaw' | '$queryRawUnsafe' | '$executeRawUnsafe' | 'findRaw' | 'aggregateRaw' | '$runCommandRaw';
-
-declare namespace Public {
-    export {
-        validator
-    }
-}
-export { Public }
-
-declare type RuntimeName = 'workerd' | 'deno' | 'netlify' | 'node' | 'bun' | 'edge-light' | '';
-
-declare function validator<V>(): <S>(select: Exact<S, V>) => S;
-
-declare function validator<C, M extends Exclude<keyof C, `$${string}`>, O extends keyof C[M] & Operation>(client: C, model: M, operation: O): <S>(select: Exact<S, Args<C[M], O>>) => S;
-
-declare function validator<C, M extends Exclude<keyof C, `$${string}`>, O extends keyof C[M] & Operation, P extends keyof Args<C[M], O>>(client: C, model: M, operation: O, prop: P): <S>(select: Exact<S, Args<C[M], O>[P]>) => S;
-
-export { }
diff --git a/server/src/generated/prisma/runtime/index-browser.js b/server/src/generated/prisma/runtime/index-browser.js
deleted file mode 100644
index 373ada9..0000000
--- a/server/src/generated/prisma/runtime/index-browser.js
+++ /dev/null
@@ -1,16 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
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diff --git a/server/src/generated/prisma/runtime/library.d.ts b/server/src/generated/prisma/runtime/library.d.ts
deleted file mode 100644
index 8aa46af..0000000
--- a/server/src/generated/prisma/runtime/library.d.ts
+++ /dev/null
@@ -1,3976 +0,0 @@
-/**
- * @param this
- */
-declare function $extends(this: Client, extension: ExtensionArgs | ((client: Client) => Client)): Client;
-
-declare type AccelerateEngineConfig = {
-    inlineSchema: EngineConfig['inlineSchema'];
-    inlineSchemaHash: EngineConfig['inlineSchemaHash'];
-    env: EngineConfig['env'];
-    generator?: {
-        previewFeatures: string[];
-    };
-    inlineDatasources: EngineConfig['inlineDatasources'];
-    overrideDatasources: EngineConfig['overrideDatasources'];
-    clientVersion: EngineConfig['clientVersion'];
-    engineVersion: EngineConfig['engineVersion'];
-    logEmitter: EngineConfig['logEmitter'];
-    logQueries?: EngineConfig['logQueries'];
-    logLevel?: EngineConfig['logLevel'];
-    tracingHelper: EngineConfig['tracingHelper'];
-    accelerateUtils?: AccelerateUtils;
-};
-
-/**
- * A stripped down interface of `fetch` that `@prisma/extension-accelerate`
- * relies on. It must be in sync with the corresponding definition in the
- * Accelerate extension.
- *
- * This is the actual interface exposed by the extension. We can't use the
- * custom fetch function provided by it as normal fetch because the API is
- * different. Notably, `headers` must be an object and not a `Headers`
- * instance, and `url` must be a `string` and not a `URL`.
- *
- * The return type is `Response` but we can't specify this in an exported type
- * because it would end up referencing external types from `@types/node` or DOM
- * which can fail typechecking depending on TypeScript configuration in a user's
- * project.
- */
-declare type AccelerateExtensionFetch = (url: string, options: {
-    body?: string;
-    method?: string;
-    headers: Record<string, string>;
-}) => Promise<unknown>;
-
-declare type AccelerateExtensionFetchDecorator = (fetch: AccelerateExtensionFetch) => AccelerateExtensionFetch;
-
-declare type AccelerateUtils = EngineConfig['accelerateUtils'];
-
-export declare type Action = keyof typeof DMMF_2.ModelAction | 'executeRaw' | 'queryRaw' | 'runCommandRaw';
-
-declare type ActiveConnectorType = Exclude<ConnectorType, 'postgres' | 'prisma+postgres'>;
-
-/**
- * An interface that exposes some basic information about the
- * adapter like its name and provider type.
- */
-declare interface AdapterInfo {
-    readonly provider: Provider;
-    readonly adapterName: (typeof officialPrismaAdapters)[number] | (string & {});
-}
-
-export declare type Aggregate = '_count' | '_max' | '_min' | '_avg' | '_sum';
-
-export declare type AllModelsToStringIndex<TypeMap extends TypeMapDef, Args extends Record<string, any>, K extends PropertyKey> = Args extends {
-    [P in K]: {
-        $allModels: infer AllModels;
-    };
-} ? {
-    [P in K]: Record<TypeMap['meta']['modelProps'], AllModels>;
-} : {};
-
-declare class AnyNull extends NullTypesEnumValue {
-    #private;
-}
-
-export declare type ApplyOmit<T, OmitConfig> = Compute<{
-    [K in keyof T as OmitValue<OmitConfig, K> extends true ? never : K]: T[K];
-}>;
-
-export declare type Args<T, F extends Operation> = T extends {
-    [K: symbol]: {
-        types: {
-            operations: {
-                [K in F]: {
-                    args: any;
-                };
-            };
-        };
-    };
-} ? T[symbol]['types']['operations'][F]['args'] : any;
-
-export declare type Args_3<T, F extends Operation> = Args<T, F>;
-
-declare type ArgScalarType = 'string' | 'int' | 'bigint' | 'float' | 'decimal' | 'boolean' | 'enum' | 'uuid' | 'json' | 'datetime' | 'bytes' | 'unknown';
-
-declare type ArgType = {
-    scalarType: ArgScalarType;
-    dbType?: string;
-    arity: Arity;
-};
-
-declare type Arity = 'scalar' | 'list';
-
-/**
- * Attributes is a map from string to attribute values.
- *
- * Note: only the own enumerable keys are counted as valid attribute keys.
- */
-declare interface Attributes {
-    [attributeKey: string]: AttributeValue | undefined;
-}
-
-/**
- * Attribute values may be any non-nullish primitive value except an object.
- *
- * null or undefined attribute values are invalid and will result in undefined behavior.
- */
-declare type AttributeValue = string | number | boolean | Array<null | undefined | string> | Array<null | undefined | number> | Array<null | undefined | boolean>;
-
-export declare type BaseDMMF = {
-    readonly datamodel: Omit<DMMF_2.Datamodel, 'indexes'>;
-};
-
-declare type BatchArgs = {
-    queries: BatchQuery[];
-    transaction?: {
-        isolationLevel?: IsolationLevel_2;
-    };
-};
-
-declare type BatchInternalParams = {
-    requests: RequestParams[];
-    customDataProxyFetch?: AccelerateExtensionFetchDecorator;
-};
-
-declare type BatchQuery = {
-    model: string | undefined;
-    operation: string;
-    args: JsArgs | RawQueryArgs;
-};
-
-declare type BatchQueryEngineResult<T> = QueryEngineResultData<T> | Error;
-
-declare type BatchQueryOptionsCb = (args: BatchQueryOptionsCbArgs) => Promise<any>;
-
-declare type BatchQueryOptionsCbArgs = {
-    args: BatchArgs;
-    query: (args: BatchArgs, __internalParams?: BatchInternalParams) => Promise<unknown[]>;
-    __internalParams: BatchInternalParams;
-};
-
-declare type BatchResponse = MultiBatchResponse | CompactedBatchResponse;
-
-declare type BatchTransactionOptions = {
-    isolationLevel?: Transaction_2.IsolationLevel;
-};
-
-declare interface BinaryTargetsEnvValue {
-    fromEnvVar: string | null;
-    value: string;
-    native?: boolean;
-}
-
-export declare type Call<F extends Fn, P> = (F & {
-    params: P;
-})['returns'];
-
-declare interface CallSite {
-    getLocation(): LocationInFile | null;
-}
-
-export declare type Cast<A, W> = A extends W ? A : W;
-
-declare type Client = ReturnType<typeof getPrismaClient> extends new () => infer T ? T : never;
-
-export declare type ClientArg = {
-    [MethodName in string]: unknown;
-};
-
-export declare type ClientArgs = {
-    client: ClientArg;
-};
-
-export declare type ClientBuiltInProp = keyof DynamicClientExtensionThisBuiltin<never, never, never>;
-
-export declare type ClientOptionDef = undefined | {
-    [K in string]: any;
-};
-
-export declare type ClientOtherOps = {
-    $queryRaw<T = unknown>(query: TemplateStringsArray | Sql, ...values: any[]): PrismaPromise<T>;
-    $queryRawTyped<T>(query: TypedSql<unknown[], T>): PrismaPromise<T[]>;
-    $queryRawUnsafe<T = unknown>(query: string, ...values: any[]): PrismaPromise<T>;
-    $executeRaw(query: TemplateStringsArray | Sql, ...values: any[]): PrismaPromise<number>;
-    $executeRawUnsafe(query: string, ...values: any[]): PrismaPromise<number>;
-    $runCommandRaw(command: InputJsonObject): PrismaPromise<JsonObject>;
-};
-
-declare type ColumnType = (typeof ColumnTypeEnum)[keyof typeof ColumnTypeEnum];
-
-declare const ColumnTypeEnum: {
-    readonly Int32: 0;
-    readonly Int64: 1;
-    readonly Float: 2;
-    readonly Double: 3;
-    readonly Numeric: 4;
-    readonly Boolean: 5;
-    readonly Character: 6;
-    readonly Text: 7;
-    readonly Date: 8;
-    readonly Time: 9;
-    readonly DateTime: 10;
-    readonly Json: 11;
-    readonly Enum: 12;
-    readonly Bytes: 13;
-    readonly Set: 14;
-    readonly Uuid: 15;
-    readonly Int32Array: 64;
-    readonly Int64Array: 65;
-    readonly FloatArray: 66;
-    readonly DoubleArray: 67;
-    readonly NumericArray: 68;
-    readonly BooleanArray: 69;
-    readonly CharacterArray: 70;
-    readonly TextArray: 71;
-    readonly DateArray: 72;
-    readonly TimeArray: 73;
-    readonly DateTimeArray: 74;
-    readonly JsonArray: 75;
-    readonly EnumArray: 76;
-    readonly BytesArray: 77;
-    readonly UuidArray: 78;
-    readonly UnknownNumber: 128;
-};
-
-declare type CompactedBatchResponse = {
-    type: 'compacted';
-    plan: QueryPlanNode;
-    arguments: Record<string, {}>[];
-    nestedSelection: string[];
-    keys: string[];
-    expectNonEmpty: boolean;
-};
-
-declare type CompilerWasmLoadingConfig = {
-    /**
-     * WASM-bindgen runtime for corresponding module
-     */
-    getRuntime: () => Promise<{
-        __wbg_set_wasm(exports: unknown): void;
-        QueryCompiler: QueryCompilerConstructor;
-    }>;
-    /**
-     * Loads the raw wasm module for the wasm compiler engine. This configuration is
-     * generated specifically for each type of client, eg. Node.js client and Edge
-     * clients will have different implementations.
-     * @remarks this is a callback on purpose, we only load the wasm if needed.
-     * @remarks only used by ClientEngine
-     */
-    getQueryCompilerWasmModule: () => Promise<unknown>;
-};
-
-export declare type Compute<T> = T extends Function ? T : {
-    [K in keyof T]: T[K];
-} & unknown;
-
-export declare type ComputeDeep<T> = T extends Function ? T : {
-    [K in keyof T]: ComputeDeep<T[K]>;
-} & unknown;
-
-declare type ComputedField = {
-    name: string;
-    needs: string[];
-    compute: ResultArgsFieldCompute;
-};
-
-declare type ComputedFieldsMap = {
-    [fieldName: string]: ComputedField;
-};
-
-declare type ConnectionInfo = {
-    schemaName?: string;
-    maxBindValues?: number;
-    supportsRelationJoins: boolean;
-};
-
-declare type ConnectorType = 'mysql' | 'mongodb' | 'sqlite' | 'postgresql' | 'postgres' | 'prisma+postgres' | 'sqlserver' | 'cockroachdb';
-
-declare interface Context {
-    /**
-     * Get a value from the context.
-     *
-     * @param key key which identifies a context value
-     */
-    getValue(key: symbol): unknown;
-    /**
-     * Create a new context which inherits from this context and has
-     * the given key set to the given value.
-     *
-     * @param key context key for which to set the value
-     * @param value value to set for the given key
-     */
-    setValue(key: symbol, value: unknown): Context;
-    /**
-     * Return a new context which inherits from this context but does
-     * not contain a value for the given key.
-     *
-     * @param key context key for which to clear a value
-     */
-    deleteValue(key: symbol): Context;
-}
-
-declare type Context_2<T> = T extends {
-    [K: symbol]: {
-        ctx: infer C;
-    };
-} ? C & T & {
-    /**
-     * @deprecated Use `$name` instead.
-     */
-    name?: string;
-    $name?: string;
-    $parent?: unknown;
-} : T & {
-    /**
-     * @deprecated Use `$name` instead.
-     */
-    name?: string;
-    $name?: string;
-    $parent?: unknown;
-};
-
-export declare type Count<O> = {
-    [K in keyof O]: Count<number>;
-} & {};
-
-export declare function createParam(name: string): Param<unknown, string>;
-
-declare class DataLoader<T = unknown> {
-    private options;
-    batches: {
-        [key: string]: Job[];
-    };
-    private tickActive;
-    constructor(options: DataLoaderOptions<T>);
-    request(request: T): Promise<any>;
-    private dispatchBatches;
-    get [Symbol.toStringTag](): string;
-}
-
-declare type DataLoaderOptions<T> = {
-    singleLoader: (request: T) => Promise<any>;
-    batchLoader: (request: T[]) => Promise<any[]>;
-    batchBy: (request: T) => string | undefined;
-    batchOrder: (requestA: T, requestB: T) => number;
-};
-
-declare type Datamodel = ReadonlyDeep_2<{
-    models: Model[];
-    enums: DatamodelEnum[];
-    types: Model[];
-    indexes: Index[];
-}>;
-
-declare type DatamodelEnum = ReadonlyDeep_2<{
-    name: string;
-    values: EnumValue[];
-    dbName?: string | null;
-    documentation?: string;
-}>;
-
-declare function datamodelEnumToSchemaEnum(datamodelEnum: DatamodelEnum): SchemaEnum;
-
-declare type DataRule = {
-    type: 'rowCountEq';
-    args: number;
-} | {
-    type: 'rowCountNeq';
-    args: number;
-} | {
-    type: 'affectedRowCountEq';
-    args: number;
-} | {
-    type: 'never';
-};
-
-declare type Datasource = {
-    url?: string;
-};
-
-declare type Datasources = {
-    [name in string]: Datasource;
-};
-
-declare class DbNull extends NullTypesEnumValue {
-    #private;
-}
-
-export declare const Debug: typeof debugCreate & {
-    enable(namespace: any): void;
-    disable(): any;
-    enabled(namespace: string): boolean;
-    log: (...args: string[]) => void;
-    formatters: {};
-};
-
-/**
- * Create a new debug instance with the given namespace.
- *
- * @example
- * ```ts
- * import Debug from '@prisma/debug'
- * const debug = Debug('prisma:client')
- * debug('Hello World')
- * ```
- */
-declare function debugCreate(namespace: string): ((...args: any[]) => void) & {
-    color: string;
-    enabled: boolean;
-    namespace: string;
-    log: (...args: string[]) => void;
-    extend: () => void;
-};
-
-export declare function Decimal(n: Decimal.Value): Decimal;
-
-export declare namespace Decimal {
-    export type Constructor = typeof Decimal;
-    export type Instance = Decimal;
-    export type Rounding = 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8;
-    export type Modulo = Rounding | 9;
-    export type Value = string | number | Decimal;
-
-    // http://mikemcl.github.io/decimal.js/#constructor-properties
-    export interface Config {
-        precision?: number;
-        rounding?: Rounding;
-        toExpNeg?: number;
-        toExpPos?: number;
-        minE?: number;
-        maxE?: number;
-        crypto?: boolean;
-        modulo?: Modulo;
-        defaults?: boolean;
-    }
-}
-
-export declare class Decimal {
-    readonly d: number[];
-    readonly e: number;
-    readonly s: number;
-
-    constructor(n: Decimal.Value);
-
-    absoluteValue(): Decimal;
-    abs(): Decimal;
-
-    ceil(): Decimal;
-
-    clampedTo(min: Decimal.Value, max: Decimal.Value): Decimal;
-    clamp(min: Decimal.Value, max: Decimal.Value): Decimal;
-
-    comparedTo(n: Decimal.Value): number;
-    cmp(n: Decimal.Value): number;
-
-    cosine(): Decimal;
-    cos(): Decimal;
-
-    cubeRoot(): Decimal;
-    cbrt(): Decimal;
-
-    decimalPlaces(): number;
-    dp(): number;
-
-    dividedBy(n: Decimal.Value): Decimal;
-    div(n: Decimal.Value): Decimal;
-
-    dividedToIntegerBy(n: Decimal.Value): Decimal;
-    divToInt(n: Decimal.Value): Decimal;
-
-    equals(n: Decimal.Value): boolean;
-    eq(n: Decimal.Value): boolean;
-
-    floor(): Decimal;
-
-    greaterThan(n: Decimal.Value): boolean;
-    gt(n: Decimal.Value): boolean;
-
-    greaterThanOrEqualTo(n: Decimal.Value): boolean;
-    gte(n: Decimal.Value): boolean;
-
-    hyperbolicCosine(): Decimal;
-    cosh(): Decimal;
-
-    hyperbolicSine(): Decimal;
-    sinh(): Decimal;
-
-    hyperbolicTangent(): Decimal;
-    tanh(): Decimal;
-
-    inverseCosine(): Decimal;
-    acos(): Decimal;
-
-    inverseHyperbolicCosine(): Decimal;
-    acosh(): Decimal;
-
-    inverseHyperbolicSine(): Decimal;
-    asinh(): Decimal;
-
-    inverseHyperbolicTangent(): Decimal;
-    atanh(): Decimal;
-
-    inverseSine(): Decimal;
-    asin(): Decimal;
-
-    inverseTangent(): Decimal;
-    atan(): Decimal;
-
-    isFinite(): boolean;
-
-    isInteger(): boolean;
-    isInt(): boolean;
-
-    isNaN(): boolean;
-
-    isNegative(): boolean;
-    isNeg(): boolean;
-
-    isPositive(): boolean;
-    isPos(): boolean;
-
-    isZero(): boolean;
-
-    lessThan(n: Decimal.Value): boolean;
-    lt(n: Decimal.Value): boolean;
-
-    lessThanOrEqualTo(n: Decimal.Value): boolean;
-    lte(n: Decimal.Value): boolean;
-
-    logarithm(n?: Decimal.Value): Decimal;
-    log(n?: Decimal.Value): Decimal;
-
-    minus(n: Decimal.Value): Decimal;
-    sub(n: Decimal.Value): Decimal;
-
-    modulo(n: Decimal.Value): Decimal;
-    mod(n: Decimal.Value): Decimal;
-
-    naturalExponential(): Decimal;
-    exp(): Decimal;
-
-    naturalLogarithm(): Decimal;
-    ln(): Decimal;
-
-    negated(): Decimal;
-    neg(): Decimal;
-
-    plus(n: Decimal.Value): Decimal;
-    add(n: Decimal.Value): Decimal;
-
-    precision(includeZeros?: boolean): number;
-    sd(includeZeros?: boolean): number;
-
-    round(): Decimal;
-
-    sine() : Decimal;
-    sin() : Decimal;
-
-    squareRoot(): Decimal;
-    sqrt(): Decimal;
-
-    tangent() : Decimal;
-    tan() : Decimal;
-
-    times(n: Decimal.Value): Decimal;
-    mul(n: Decimal.Value) : Decimal;
-
-    toBinary(significantDigits?: number): string;
-    toBinary(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toDecimalPlaces(decimalPlaces?: number): Decimal;
-    toDecimalPlaces(decimalPlaces: number, rounding: Decimal.Rounding): Decimal;
-    toDP(decimalPlaces?: number): Decimal;
-    toDP(decimalPlaces: number, rounding: Decimal.Rounding): Decimal;
-
-    toExponential(decimalPlaces?: number): string;
-    toExponential(decimalPlaces: number, rounding: Decimal.Rounding): string;
-
-    toFixed(decimalPlaces?: number): string;
-    toFixed(decimalPlaces: number, rounding: Decimal.Rounding): string;
-
-    toFraction(max_denominator?: Decimal.Value): Decimal[];
-
-    toHexadecimal(significantDigits?: number): string;
-    toHexadecimal(significantDigits: number, rounding: Decimal.Rounding): string;
-    toHex(significantDigits?: number): string;
-    toHex(significantDigits: number, rounding?: Decimal.Rounding): string;
-
-    toJSON(): string;
-
-    toNearest(n: Decimal.Value, rounding?: Decimal.Rounding): Decimal;
-
-    toNumber(): number;
-
-    toOctal(significantDigits?: number): string;
-    toOctal(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toPower(n: Decimal.Value): Decimal;
-    pow(n: Decimal.Value): Decimal;
-
-    toPrecision(significantDigits?: number): string;
-    toPrecision(significantDigits: number, rounding: Decimal.Rounding): string;
-
-    toSignificantDigits(significantDigits?: number): Decimal;
-    toSignificantDigits(significantDigits: number, rounding: Decimal.Rounding): Decimal;
-    toSD(significantDigits?: number): Decimal;
-    toSD(significantDigits: number, rounding: Decimal.Rounding): Decimal;
-
-    toString(): string;
-
-    truncated(): Decimal;
-    trunc(): Decimal;
-
-    valueOf(): string;
-
-    static abs(n: Decimal.Value): Decimal;
-    static acos(n: Decimal.Value): Decimal;
-    static acosh(n: Decimal.Value): Decimal;
-    static add(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static asin(n: Decimal.Value): Decimal;
-    static asinh(n: Decimal.Value): Decimal;
-    static atan(n: Decimal.Value): Decimal;
-    static atanh(n: Decimal.Value): Decimal;
-    static atan2(y: Decimal.Value, x: Decimal.Value): Decimal;
-    static cbrt(n: Decimal.Value): Decimal;
-    static ceil(n: Decimal.Value): Decimal;
-    static clamp(n: Decimal.Value, min: Decimal.Value, max: Decimal.Value): Decimal;
-    static clone(object?: Decimal.Config): Decimal.Constructor;
-    static config(object: Decimal.Config): Decimal.Constructor;
-    static cos(n: Decimal.Value): Decimal;
-    static cosh(n: Decimal.Value): Decimal;
-    static div(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static exp(n: Decimal.Value): Decimal;
-    static floor(n: Decimal.Value): Decimal;
-    static hypot(...n: Decimal.Value[]): Decimal;
-    static isDecimal(object: any): object is Decimal;
-    static ln(n: Decimal.Value): Decimal;
-    static log(n: Decimal.Value, base?: Decimal.Value): Decimal;
-    static log2(n: Decimal.Value): Decimal;
-    static log10(n: Decimal.Value): Decimal;
-    static max(...n: Decimal.Value[]): Decimal;
-    static min(...n: Decimal.Value[]): Decimal;
-    static mod(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static mul(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static noConflict(): Decimal.Constructor;   // Browser only
-    static pow(base: Decimal.Value, exponent: Decimal.Value): Decimal;
-    static random(significantDigits?: number): Decimal;
-    static round(n: Decimal.Value): Decimal;
-    static set(object: Decimal.Config): Decimal.Constructor;
-    static sign(n: Decimal.Value): number;
-    static sin(n: Decimal.Value): Decimal;
-    static sinh(n: Decimal.Value): Decimal;
-    static sqrt(n: Decimal.Value): Decimal;
-    static sub(x: Decimal.Value, y: Decimal.Value): Decimal;
-    static sum(...n: Decimal.Value[]): Decimal;
-    static tan(n: Decimal.Value): Decimal;
-    static tanh(n: Decimal.Value): Decimal;
-    static trunc(n: Decimal.Value): Decimal;
-
-    static readonly default?: Decimal.Constructor;
-    static readonly Decimal?: Decimal.Constructor;
-
-    static readonly precision: number;
-    static readonly rounding: Decimal.Rounding;
-    static readonly toExpNeg: number;
-    static readonly toExpPos: number;
-    static readonly minE: number;
-    static readonly maxE: number;
-    static readonly crypto: boolean;
-    static readonly modulo: Decimal.Modulo;
-
-    static readonly ROUND_UP: 0;
-    static readonly ROUND_DOWN: 1;
-    static readonly ROUND_CEIL: 2;
-    static readonly ROUND_FLOOR: 3;
-    static readonly ROUND_HALF_UP: 4;
-    static readonly ROUND_HALF_DOWN: 5;
-    static readonly ROUND_HALF_EVEN: 6;
-    static readonly ROUND_HALF_CEIL: 7;
-    static readonly ROUND_HALF_FLOOR: 8;
-    static readonly EUCLID: 9;
-}
-
-/**
- * Interface for any Decimal.js-like library
- * Allows us to accept Decimal.js from different
- * versions and some compatible alternatives
- */
-export declare interface DecimalJsLike {
-    d: number[];
-    e: number;
-    s: number;
-    toFixed(): string;
-}
-
-export declare type DefaultArgs = InternalArgs<{}, {}, {}, {}>;
-
-export declare type DefaultSelection<Payload extends OperationPayload, Args = {}, GlobalOmitOptions = {}> = Args extends {
-    omit: infer LocalOmit;
-} ? ApplyOmit<UnwrapPayload<{
-    default: Payload;
-}>['default'], PatchFlat<LocalOmit, ExtractGlobalOmit<GlobalOmitOptions, Uncapitalize<Payload['name']>>>> : ApplyOmit<UnwrapPayload<{
-    default: Payload;
-}>['default'], ExtractGlobalOmit<GlobalOmitOptions, Uncapitalize<Payload['name']>>>;
-
-export declare function defineDmmfProperty(target: object, runtimeDataModel: RuntimeDataModel): void;
-
-declare function defineExtension(ext: ExtensionArgs | ((client: Client) => Client)): (client: Client) => Client;
-
-declare const denylist: readonly ["$connect", "$disconnect", "$on", "$transaction", "$extends"];
-
-declare type Deprecation = ReadonlyDeep_2<{
-    sinceVersion: string;
-    reason: string;
-    plannedRemovalVersion?: string;
-}>;
-
-declare type DeserializedResponse = Array<Record<string, unknown>>;
-
-export declare function deserializeJsonResponse(result: unknown): unknown;
-
-export declare function deserializeRawResult(response: RawResponse): DeserializedResponse;
-
-export declare type DevTypeMapDef = {
-    meta: {
-        modelProps: string;
-    };
-    model: {
-        [Model in PropertyKey]: {
-            [Operation in PropertyKey]: DevTypeMapFnDef;
-        };
-    };
-    other: {
-        [Operation in PropertyKey]: DevTypeMapFnDef;
-    };
-};
-
-export declare type DevTypeMapFnDef = {
-    args: any;
-    result: any;
-    payload: OperationPayload;
-};
-
-export declare namespace DMMF {
-    export {
-        datamodelEnumToSchemaEnum,
-        Document_2 as Document,
-        Mappings,
-        OtherOperationMappings,
-        DatamodelEnum,
-        SchemaEnum,
-        EnumValue,
-        Datamodel,
-        uniqueIndex,
-        PrimaryKey,
-        Model,
-        FieldKind,
-        FieldNamespace,
-        FieldLocation,
-        Field,
-        FieldDefault,
-        FieldDefaultScalar,
-        Index,
-        IndexType,
-        IndexField,
-        SortOrder,
-        Schema,
-        Query,
-        QueryOutput,
-        TypeRef,
-        InputTypeRef,
-        SchemaArg,
-        OutputType,
-        SchemaField,
-        OutputTypeRef,
-        Deprecation,
-        InputType,
-        FieldRefType,
-        FieldRefAllowType,
-        ModelMapping,
-        ModelAction
-    }
-}
-
-declare namespace DMMF_2 {
-    export {
-        datamodelEnumToSchemaEnum,
-        Document_2 as Document,
-        Mappings,
-        OtherOperationMappings,
-        DatamodelEnum,
-        SchemaEnum,
-        EnumValue,
-        Datamodel,
-        uniqueIndex,
-        PrimaryKey,
-        Model,
-        FieldKind,
-        FieldNamespace,
-        FieldLocation,
-        Field,
-        FieldDefault,
-        FieldDefaultScalar,
-        Index,
-        IndexType,
-        IndexField,
-        SortOrder,
-        Schema,
-        Query,
-        QueryOutput,
-        TypeRef,
-        InputTypeRef,
-        SchemaArg,
-        OutputType,
-        SchemaField,
-        OutputTypeRef,
-        Deprecation,
-        InputType,
-        FieldRefType,
-        FieldRefAllowType,
-        ModelMapping,
-        ModelAction
-    }
-}
-
-export declare function dmmfToRuntimeDataModel(dmmfDataModel: DMMF_2.Datamodel): RuntimeDataModel;
-
-declare type Document_2 = ReadonlyDeep_2<{
-    datamodel: Datamodel;
-    schema: Schema;
-    mappings: Mappings;
-}>;
-
-/**
- * A generic driver adapter factory that allows the user to instantiate a
- * driver adapter. The query and result types are specific to the adapter.
- */
-declare interface DriverAdapterFactory<Query, Result> extends AdapterInfo {
-    /**
-     * Instantiate a driver adapter.
-     */
-    connect(): Promise<Queryable<Query, Result>>;
-}
-
-declare type DynamicArgType = ArgType | {
-    arity: 'tuple';
-    elements: ArgType[];
-};
-
-/** Client */
-export declare type DynamicClientExtensionArgs<C_, TypeMap extends TypeMapDef, TypeMapCb extends TypeMapCbDef, ExtArgs extends Record<string, any>> = {
-    [P in keyof C_]: unknown;
-} & {
-    [K: symbol]: {
-        ctx: Optional<DynamicClientExtensionThis<TypeMap, TypeMapCb, ExtArgs>, ITXClientDenyList> & {
-            $parent: Optional<DynamicClientExtensionThis<TypeMap, TypeMapCb, ExtArgs>, ITXClientDenyList>;
-        };
-    };
-};
-
-export declare type DynamicClientExtensionThis<TypeMap extends TypeMapDef, TypeMapCb extends TypeMapCbDef, ExtArgs extends Record<string, any>> = {
-    [P in keyof ExtArgs['client']]: Return<ExtArgs['client'][P]>;
-} & {
-    [P in Exclude<TypeMap['meta']['modelProps'], keyof ExtArgs['client']>]: DynamicModelExtensionThis<TypeMap, ModelKey<TypeMap, P>, ExtArgs>;
-} & {
-    [P in Exclude<keyof TypeMap['other']['operations'], keyof ExtArgs['client']>]: P extends keyof ClientOtherOps ? ClientOtherOps[P] : never;
-} & {
-    [P in Exclude<ClientBuiltInProp, keyof ExtArgs['client']>]: DynamicClientExtensionThisBuiltin<TypeMap, TypeMapCb, ExtArgs>[P];
-} & {
-    [K: symbol]: {
-        types: TypeMap['other'];
-    };
-};
-
-export declare type DynamicClientExtensionThisBuiltin<TypeMap extends TypeMapDef, TypeMapCb extends TypeMapCbDef, ExtArgs extends Record<string, any>> = {
-    $extends: ExtendsHook<'extends', TypeMapCb, ExtArgs, Call<TypeMapCb, {
-        extArgs: ExtArgs;
-    }>>;
-    $transaction<P extends PrismaPromise<any>[]>(arg: [...P], options?: {
-        isolationLevel?: TypeMap['meta']['txIsolationLevel'];
-    }): Promise<UnwrapTuple<P>>;
-    $transaction<R>(fn: (client: Omit<DynamicClientExtensionThis<TypeMap, TypeMapCb, ExtArgs>, ITXClientDenyList>) => Promise<R>, options?: {
-        maxWait?: number;
-        timeout?: number;
-        isolationLevel?: TypeMap['meta']['txIsolationLevel'];
-    }): Promise<R>;
-    $disconnect(): Promise<void>;
-    $connect(): Promise<void>;
-};
-
-/** Model */
-export declare type DynamicModelExtensionArgs<M_, TypeMap extends TypeMapDef, TypeMapCb extends TypeMapCbDef, ExtArgs extends Record<string, any>> = {
-    [K in keyof M_]: K extends '$allModels' ? {
-        [P in keyof M_[K]]?: unknown;
-    } & {
-        [K: symbol]: {};
-    } : K extends TypeMap['meta']['modelProps'] ? {
-        [P in keyof M_[K]]?: unknown;
-    } & {
-        [K: symbol]: {
-            ctx: DynamicModelExtensionThis<TypeMap, ModelKey<TypeMap, K>, ExtArgs> & {
-                $parent: DynamicClientExtensionThis<TypeMap, TypeMapCb, ExtArgs>;
-            } & {
-                $name: ModelKey<TypeMap, K>;
-            } & {
-                /**
-                 * @deprecated Use `$name` instead.
-                 */
-                name: ModelKey<TypeMap, K>;
-            };
-        };
-    } : never;
-};
-
-export declare type DynamicModelExtensionFluentApi<TypeMap extends TypeMapDef, M extends PropertyKey, P extends PropertyKey, Null> = {
-    [K in keyof TypeMap['model'][M]['payload']['objects']]: <A>(args?: Exact<A, Path<TypeMap['model'][M]['operations'][P]['args']['select'], [K]>>) => PrismaPromise<Path<DynamicModelExtensionFnResultBase<TypeMap, M, {
-        select: {
-            [P in K]: A;
-        };
-    }, P>, [K]> | Null> & DynamicModelExtensionFluentApi<TypeMap, (TypeMap['model'][M]['payload']['objects'][K] & {})['name'], P, Null | Select<TypeMap['model'][M]['payload']['objects'][K], null>>;
-};
-
-export declare type DynamicModelExtensionFnResult<TypeMap extends TypeMapDef, M extends PropertyKey, A, P extends PropertyKey, Null> = P extends FluentOperation ? DynamicModelExtensionFluentApi<TypeMap, M, P, Null> & PrismaPromise<DynamicModelExtensionFnResultBase<TypeMap, M, A, P> | Null> : PrismaPromise<DynamicModelExtensionFnResultBase<TypeMap, M, A, P>>;
-
-export declare type DynamicModelExtensionFnResultBase<TypeMap extends TypeMapDef, M extends PropertyKey, A, P extends PropertyKey> = GetResult<TypeMap['model'][M]['payload'], A, P & Operation, TypeMap['globalOmitOptions']>;
-
-export declare type DynamicModelExtensionFnResultNull<P extends PropertyKey> = P extends 'findUnique' | 'findFirst' ? null : never;
-
-export declare type DynamicModelExtensionOperationFn<TypeMap extends TypeMapDef, M extends PropertyKey, P extends PropertyKey> = {} extends TypeMap['model'][M]['operations'][P]['args'] ? <A extends TypeMap['model'][M]['operations'][P]['args']>(args?: Exact<A, TypeMap['model'][M]['operations'][P]['args']>) => DynamicModelExtensionFnResult<TypeMap, M, A, P, DynamicModelExtensionFnResultNull<P>> : <A extends TypeMap['model'][M]['operations'][P]['args']>(args: Exact<A, TypeMap['model'][M]['operations'][P]['args']>) => DynamicModelExtensionFnResult<TypeMap, M, A, P, DynamicModelExtensionFnResultNull<P>>;
-
-export declare type DynamicModelExtensionThis<TypeMap extends TypeMapDef, M extends PropertyKey, ExtArgs extends Record<string, any>> = {
-    [P in keyof ExtArgs['model'][Uncapitalize<M & string>]]: Return<ExtArgs['model'][Uncapitalize<M & string>][P]>;
-} & {
-    [P in Exclude<keyof TypeMap['model'][M]['operations'], keyof ExtArgs['model'][Uncapitalize<M & string>]>]: DynamicModelExtensionOperationFn<TypeMap, M, P>;
-} & {
-    [P in Exclude<'fields', keyof ExtArgs['model'][Uncapitalize<M & string>]>]: TypeMap['model'][M]['fields'];
-} & {
-    [K: symbol]: {
-        types: TypeMap['model'][M];
-    };
-};
-
-/** Query */
-export declare type DynamicQueryExtensionArgs<Q_, TypeMap extends TypeMapDef> = {
-    [K in keyof Q_]: K extends '$allOperations' ? (args: {
-        model?: string;
-        operation: string;
-        args: any;
-        query: (args: any) => PrismaPromise<any>;
-    }) => Promise<any> : K extends '$allModels' ? {
-        [P in keyof Q_[K] | keyof TypeMap['model'][keyof TypeMap['model']]['operations'] | '$allOperations']?: P extends '$allOperations' ? DynamicQueryExtensionCb<TypeMap, 'model', keyof TypeMap['model'], keyof TypeMap['model'][keyof TypeMap['model']]['operations']> : P extends keyof TypeMap['model'][keyof TypeMap['model']]['operations'] ? DynamicQueryExtensionCb<TypeMap, 'model', keyof TypeMap['model'], P> : never;
-    } : K extends TypeMap['meta']['modelProps'] ? {
-        [P in keyof Q_[K] | keyof TypeMap['model'][ModelKey<TypeMap, K>]['operations'] | '$allOperations']?: P extends '$allOperations' ? DynamicQueryExtensionCb<TypeMap, 'model', ModelKey<TypeMap, K>, keyof TypeMap['model'][ModelKey<TypeMap, K>]['operations']> : P extends keyof TypeMap['model'][ModelKey<TypeMap, K>]['operations'] ? DynamicQueryExtensionCb<TypeMap, 'model', ModelKey<TypeMap, K>, P> : never;
-    } : K extends keyof TypeMap['other']['operations'] ? DynamicQueryExtensionCb<[TypeMap], 0, 'other', K> : never;
-};
-
-export declare type DynamicQueryExtensionCb<TypeMap extends TypeMapDef, _0 extends PropertyKey, _1 extends PropertyKey, _2 extends PropertyKey> = <A extends DynamicQueryExtensionCbArgs<TypeMap, _0, _1, _2>>(args: A) => Promise<TypeMap[_0][_1][_2]['result']>;
-
-export declare type DynamicQueryExtensionCbArgs<TypeMap extends TypeMapDef, _0 extends PropertyKey, _1 extends PropertyKey, _2 extends PropertyKey> = (_1 extends unknown ? _2 extends unknown ? {
-    args: DynamicQueryExtensionCbArgsArgs<TypeMap, _0, _1, _2>;
-    model: _0 extends 0 ? undefined : _1;
-    operation: _2;
-    query: <A extends DynamicQueryExtensionCbArgsArgs<TypeMap, _0, _1, _2>>(args: A) => PrismaPromise<TypeMap[_0][_1]['operations'][_2]['result']>;
-} : never : never) & {
-    query: (args: DynamicQueryExtensionCbArgsArgs<TypeMap, _0, _1, _2>) => PrismaPromise<TypeMap[_0][_1]['operations'][_2]['result']>;
-};
-
-export declare type DynamicQueryExtensionCbArgsArgs<TypeMap extends TypeMapDef, _0 extends PropertyKey, _1 extends PropertyKey, _2 extends PropertyKey> = _2 extends '$queryRaw' | '$executeRaw' ? Sql : TypeMap[_0][_1]['operations'][_2]['args'];
-
-/** Result */
-export declare type DynamicResultExtensionArgs<R_, TypeMap extends TypeMapDef> = {
-    [K in keyof R_]: {
-        [P in keyof R_[K]]?: {
-            needs?: DynamicResultExtensionNeeds<TypeMap, ModelKey<TypeMap, K>, R_[K][P]>;
-            compute(data: DynamicResultExtensionData<TypeMap, ModelKey<TypeMap, K>, R_[K][P]>): any;
-        };
-    };
-};
-
-export declare type DynamicResultExtensionData<TypeMap extends TypeMapDef, M extends PropertyKey, S> = GetFindResult<TypeMap['model'][M]['payload'], {
-    select: S;
-}, {}>;
-
-export declare type DynamicResultExtensionNeeds<TypeMap extends TypeMapDef, M extends PropertyKey, S> = {
-    [K in keyof S]: K extends keyof TypeMap['model'][M]['payload']['scalars'] ? S[K] : never;
-} & {
-    [N in keyof TypeMap['model'][M]['payload']['scalars']]?: boolean;
-};
-
-/**
- * Placeholder value for "no text".
- */
-export declare const empty: Sql;
-
-export declare type EmptyToUnknown<T> = T;
-
-declare interface Engine<InteractiveTransactionPayload = unknown> {
-    /** The name of the engine. This is meant to be consumed externally */
-    readonly name: string;
-    onBeforeExit(callback: () => Promise<void>): void;
-    start(): Promise<void>;
-    stop(): Promise<void>;
-    version(forceRun?: boolean): Promise<string> | string;
-    request<T>(query: JsonQuery, options: RequestOptions<InteractiveTransactionPayload>): Promise<QueryEngineResultData<T>>;
-    requestBatch<T>(queries: JsonQuery[], options: RequestBatchOptions<InteractiveTransactionPayload>): Promise<BatchQueryEngineResult<T>[]>;
-    transaction(action: 'start', headers: Transaction_2.TransactionHeaders, options: Transaction_2.Options): Promise<Transaction_2.InteractiveTransactionInfo<unknown>>;
-    transaction(action: 'commit', headers: Transaction_2.TransactionHeaders, info: Transaction_2.InteractiveTransactionInfo<unknown>): Promise<void>;
-    transaction(action: 'rollback', headers: Transaction_2.TransactionHeaders, info: Transaction_2.InteractiveTransactionInfo<unknown>): Promise<void>;
-    metrics(options: MetricsOptionsJson): Promise<Metrics>;
-    metrics(options: MetricsOptionsPrometheus): Promise<string>;
-    applyPendingMigrations(): Promise<void>;
-}
-
-declare interface EngineConfig {
-    cwd: string;
-    dirname: string;
-    enableDebugLogs?: boolean;
-    allowTriggerPanic?: boolean;
-    prismaPath?: string;
-    generator?: GeneratorConfig;
-    /**
-     * @remarks this field is used internally by Policy, do not rename or remove
-     */
-    overrideDatasources: Datasources;
-    showColors?: boolean;
-    logQueries?: boolean;
-    logLevel?: 'info' | 'warn';
-    env: Record<string, string>;
-    flags?: string[];
-    clientVersion: string;
-    engineVersion: string;
-    previewFeatures?: string[];
-    engineEndpoint?: string;
-    activeProvider?: string;
-    logEmitter: LogEmitter;
-    transactionOptions: Transaction_2.Options;
-    /**
-     * Instance of a Driver Adapter, e.g., like one provided by `@prisma/adapter-planetscale`.
-     * If set, this is only used in the library engine, and all queries would be performed through it,
-     * rather than Prisma's Rust drivers.
-     * @remarks only used by LibraryEngine.ts
-     */
-    adapter?: SqlDriverAdapterFactory;
-    /**
-     * The contents of the schema encoded into a string
-     */
-    inlineSchema: string;
-    /**
-     * The contents of the datasource url saved in a string
-     * @remarks only used by DataProxyEngine.ts
-     * @remarks this field is used internally by Policy, do not rename or remove
-     */
-    inlineDatasources: GetPrismaClientConfig['inlineDatasources'];
-    /**
-     * The string hash that was produced for a given schema
-     * @remarks only used by DataProxyEngine.ts
-     */
-    inlineSchemaHash: string;
-    /**
-     * The helper for interaction with OTEL tracing
-     * @remarks enabling is determined by the client and @prisma/instrumentation package
-     */
-    tracingHelper: TracingHelper;
-    /**
-     * Information about whether we have not found a schema.prisma file in the
-     * default location, and that we fell back to finding the schema.prisma file
-     * in the current working directory. This usually means it has been bundled.
-     */
-    isBundled?: boolean;
-    /**
-     * Web Assembly module loading configuration
-     */
-    engineWasm?: EngineWasmLoadingConfig;
-    compilerWasm?: CompilerWasmLoadingConfig;
-    /**
-     * Allows Accelerate to use runtime utilities from the client. These are
-     * necessary for the AccelerateEngine to function correctly.
-     */
-    accelerateUtils?: {
-        resolveDatasourceUrl: typeof resolveDatasourceUrl;
-        getBatchRequestPayload: typeof getBatchRequestPayload;
-        prismaGraphQLToJSError: typeof prismaGraphQLToJSError;
-        PrismaClientUnknownRequestError: typeof PrismaClientUnknownRequestError;
-        PrismaClientInitializationError: typeof PrismaClientInitializationError;
-        PrismaClientKnownRequestError: typeof PrismaClientKnownRequestError;
-        debug: (...args: any[]) => void;
-        engineVersion: string;
-        clientVersion: string;
-    };
-}
-
-declare type EngineEvent<E extends EngineEventType> = E extends QueryEventType ? QueryEvent : LogEvent;
-
-declare type EngineEventType = QueryEventType | LogEventType;
-
-declare type EngineSpan = {
-    id: EngineSpanId;
-    parentId: string | null;
-    name: string;
-    startTime: HrTime;
-    endTime: HrTime;
-    kind: EngineSpanKind;
-    attributes?: Record<string, unknown>;
-    links?: EngineSpanId[];
-};
-
-declare type EngineSpanId = string;
-
-declare type EngineSpanKind = 'client' | 'internal';
-
-declare type EngineWasmLoadingConfig = {
-    /**
-     * WASM-bindgen runtime for corresponding module
-     */
-    getRuntime: () => Promise<{
-        __wbg_set_wasm(exports: unknown): void;
-        QueryEngine: QueryEngineConstructor;
-    }>;
-    /**
-     * Loads the raw wasm module for the wasm query engine. This configuration is
-     * generated specifically for each type of client, eg. Node.js client and Edge
-     * clients will have different implementations.
-     * @remarks this is a callback on purpose, we only load the wasm if needed.
-     * @remarks only used by LibraryEngine
-     */
-    getQueryEngineWasmModule: () => Promise<unknown>;
-};
-
-declare type EnumValue = ReadonlyDeep_2<{
-    name: string;
-    dbName: string | null;
-}>;
-
-declare type EnvPaths = {
-    rootEnvPath: string | null;
-    schemaEnvPath: string | undefined;
-};
-
-declare interface EnvValue {
-    fromEnvVar: null | string;
-    value: null | string;
-}
-
-export declare type Equals<A, B> = (<T>() => T extends A ? 1 : 2) extends (<T>() => T extends B ? 1 : 2) ? 1 : 0;
-
-declare type Error_2 = MappedError & {
-    originalCode?: string;
-    originalMessage?: string;
-};
-
-declare type ErrorCapturingFunction<T> = T extends (...args: infer A) => Promise<infer R> ? (...args: A) => Promise<Result_4<ErrorCapturingInterface<R>>> : T extends (...args: infer A) => infer R ? (...args: A) => Result_4<ErrorCapturingInterface<R>> : T;
-
-declare type ErrorCapturingInterface<T> = {
-    [K in keyof T]: ErrorCapturingFunction<T[K]>;
-};
-
-declare interface ErrorCapturingSqlDriverAdapter extends ErrorCapturingInterface<SqlDriverAdapter> {
-    readonly errorRegistry: ErrorRegistry;
-}
-
-declare type ErrorFormat = 'pretty' | 'colorless' | 'minimal';
-
-declare type ErrorRecord = {
-    error: unknown;
-};
-
-declare interface ErrorRegistry {
-    consumeError(id: number): ErrorRecord | undefined;
-}
-
-declare interface ErrorWithBatchIndex {
-    batchRequestIdx?: number;
-}
-
-declare type EventCallback<E extends ExtendedEventType> = [E] extends ['beforeExit'] ? () => Promise<void> : [E] extends [LogLevel] ? (event: EngineEvent<E>) => void : never;
-
-export declare type Exact<A, W> = (A extends unknown ? (W extends A ? {
-    [K in keyof A]: Exact<A[K], W[K]>;
-} : W) : never) | (A extends Narrowable ? A : never);
-
-/**
- * Defines Exception.
- *
- * string or an object with one of (message or name or code) and optional stack
- */
-declare type Exception = ExceptionWithCode | ExceptionWithMessage | ExceptionWithName | string;
-
-declare interface ExceptionWithCode {
-    code: string | number;
-    name?: string;
-    message?: string;
-    stack?: string;
-}
-
-declare interface ExceptionWithMessage {
-    code?: string | number;
-    message: string;
-    name?: string;
-    stack?: string;
-}
-
-declare interface ExceptionWithName {
-    code?: string | number;
-    message?: string;
-    name: string;
-    stack?: string;
-}
-
-declare type ExtendedEventType = LogLevel | 'beforeExit';
-
-declare type ExtendedSpanOptions = SpanOptions & {
-    /** The name of the span */
-    name: string;
-    internal?: boolean;
-    /** Whether it propagates context (?=true) */
-    active?: boolean;
-    /** The context to append the span to */
-    context?: Context;
-};
-
-/** $extends, defineExtension */
-export declare interface ExtendsHook<Variant extends 'extends' | 'define', TypeMapCb extends TypeMapCbDef, ExtArgs extends Record<string, any>, TypeMap extends TypeMapDef = Call<TypeMapCb, {
-    extArgs: ExtArgs;
-}>> {
-    extArgs: ExtArgs;
-    <R_ extends {
-        [K in TypeMap['meta']['modelProps'] | '$allModels']?: unknown;
-    }, R, M_ extends {
-        [K in TypeMap['meta']['modelProps'] | '$allModels']?: unknown;
-    }, M, Q_ extends {
-        [K in TypeMap['meta']['modelProps'] | '$allModels' | keyof TypeMap['other']['operations'] | '$allOperations']?: unknown;
-    }, C_ extends {
-        [K in string]?: unknown;
-    }, C, Args extends InternalArgs = InternalArgs<R, M, {}, C>, MergedArgs extends InternalArgs = MergeExtArgs<TypeMap, ExtArgs, Args>>(extension: ((client: DynamicClientExtensionThis<TypeMap, TypeMapCb, ExtArgs>) => {
-        $extends: {
-            extArgs: Args;
-        };
-    }) | {
-        name?: string;
-        query?: DynamicQueryExtensionArgs<Q_, TypeMap>;
-        result?: DynamicResultExtensionArgs<R_, TypeMap> & R;
-        model?: DynamicModelExtensionArgs<M_, TypeMap, TypeMapCb, ExtArgs> & M;
-        client?: DynamicClientExtensionArgs<C_, TypeMap, TypeMapCb, ExtArgs> & C;
-    }): {
-        extends: DynamicClientExtensionThis<Call<TypeMapCb, {
-            extArgs: MergedArgs;
-        }>, TypeMapCb, MergedArgs>;
-        define: (client: any) => {
-            $extends: {
-                extArgs: Args;
-            };
-        };
-    }[Variant];
-}
-
-export declare type ExtensionArgs = Optional<RequiredExtensionArgs>;
-
-declare namespace Extensions {
-    export {
-        defineExtension,
-        getExtensionContext
-    }
-}
-export { Extensions }
-
-declare namespace Extensions_2 {
-    export {
-        InternalArgs,
-        DefaultArgs,
-        GetPayloadResultExtensionKeys,
-        GetPayloadResultExtensionObject,
-        GetPayloadResult,
-        GetSelect,
-        GetOmit,
-        DynamicQueryExtensionArgs,
-        DynamicQueryExtensionCb,
-        DynamicQueryExtensionCbArgs,
-        DynamicQueryExtensionCbArgsArgs,
-        DynamicResultExtensionArgs,
-        DynamicResultExtensionNeeds,
-        DynamicResultExtensionData,
-        DynamicModelExtensionArgs,
-        DynamicModelExtensionThis,
-        DynamicModelExtensionOperationFn,
-        DynamicModelExtensionFnResult,
-        DynamicModelExtensionFnResultBase,
-        DynamicModelExtensionFluentApi,
-        DynamicModelExtensionFnResultNull,
-        DynamicClientExtensionArgs,
-        DynamicClientExtensionThis,
-        ClientBuiltInProp,
-        DynamicClientExtensionThisBuiltin,
-        ExtendsHook,
-        MergeExtArgs,
-        AllModelsToStringIndex,
-        TypeMapDef,
-        DevTypeMapDef,
-        DevTypeMapFnDef,
-        ClientOptionDef,
-        ClientOtherOps,
-        TypeMapCbDef,
-        ModelKey,
-        RequiredExtensionArgs as UserArgs
-    }
-}
-
-export declare type ExtractGlobalOmit<Options, ModelName extends string> = Options extends {
-    omit: {
-        [K in ModelName]: infer GlobalOmit;
-    };
-} ? GlobalOmit : {};
-
-declare type Field = ReadonlyDeep_2<{
-    kind: FieldKind;
-    name: string;
-    isRequired: boolean;
-    isList: boolean;
-    isUnique: boolean;
-    isId: boolean;
-    isReadOnly: boolean;
-    isGenerated?: boolean;
-    isUpdatedAt?: boolean;
-    /**
-     * Describes the data type in the same the way it is defined in the Prisma schema:
-     * BigInt, Boolean, Bytes, DateTime, Decimal, Float, Int, JSON, String, $ModelName
-     */
-    type: string;
-    /**
-     * Native database type, if specified.
-     * For example, `@db.VarChar(191)` is encoded as `['VarChar', ['191']]`,
-     * `@db.Text` is encoded as `['Text', []]`.
-     */
-    nativeType?: [string, string[]] | null;
-    dbName?: string | null;
-    hasDefaultValue: boolean;
-    default?: FieldDefault | FieldDefaultScalar | FieldDefaultScalar[];
-    relationFromFields?: string[];
-    relationToFields?: string[];
-    relationOnDelete?: string;
-    relationOnUpdate?: string;
-    relationName?: string;
-    documentation?: string;
-}>;
-
-declare type FieldDefault = ReadonlyDeep_2<{
-    name: string;
-    args: Array<string | number>;
-}>;
-
-declare type FieldDefaultScalar = string | boolean | number;
-
-declare type FieldInitializer = {
-    type: 'value';
-    value: PrismaValue;
-} | {
-    type: 'lastInsertId';
-};
-
-declare type FieldKind = 'scalar' | 'object' | 'enum' | 'unsupported';
-
-declare type FieldLocation = 'scalar' | 'inputObjectTypes' | 'outputObjectTypes' | 'enumTypes' | 'fieldRefTypes';
-
-declare type FieldNamespace = 'model' | 'prisma';
-
-declare type FieldOperation = {
-    type: 'set';
-    value: PrismaValue;
-} | {
-    type: 'add';
-    value: PrismaValue;
-} | {
-    type: 'subtract';
-    value: PrismaValue;
-} | {
-    type: 'multiply';
-    value: PrismaValue;
-} | {
-    type: 'divide';
-    value: PrismaValue;
-};
-
-/**
- * A reference to a specific field of a specific model
- */
-export declare interface FieldRef<Model, FieldType> {
-    readonly modelName: Model;
-    readonly name: string;
-    readonly typeName: FieldType;
-    readonly isList: boolean;
-}
-
-declare type FieldRefAllowType = TypeRef<'scalar' | 'enumTypes'>;
-
-declare type FieldRefType = ReadonlyDeep_2<{
-    name: string;
-    allowTypes: FieldRefAllowType[];
-    fields: SchemaArg[];
-}>;
-
-declare type FieldScalarType = {
-    type: 'string' | 'int' | 'bigint' | 'float' | 'boolean' | 'json' | 'object' | 'datetime' | 'decimal' | 'unsupported';
-} | {
-    type: 'enum';
-    name: string;
-} | {
-    type: 'bytes';
-    encoding: 'array' | 'base64' | 'hex';
-};
-
-declare type FieldType = {
-    arity: Arity;
-} & FieldScalarType;
-
-declare type FluentOperation = 'findUnique' | 'findUniqueOrThrow' | 'findFirst' | 'findFirstOrThrow' | 'create' | 'update' | 'upsert' | 'delete';
-
-export declare interface Fn<Params = unknown, Returns = unknown> {
-    params: Params;
-    returns: Returns;
-}
-
-declare type Fragment = {
-    type: 'stringChunk';
-    chunk: string;
-} | {
-    type: 'parameter';
-} | {
-    type: 'parameterTuple';
-} | {
-    type: 'parameterTupleList';
-    itemPrefix: string;
-    itemSeparator: string;
-    itemSuffix: string;
-    groupSeparator: string;
-};
-
-declare interface GeneratorConfig {
-    name: string;
-    output: EnvValue | null;
-    isCustomOutput?: boolean;
-    provider: EnvValue;
-    config: {
-        /** `output` is a reserved name and will only be available directly at `generator.output` */
-        output?: never;
-        /** `provider` is a reserved name and will only be available directly at `generator.provider` */
-        provider?: never;
-        /** `binaryTargets` is a reserved name and will only be available directly at `generator.binaryTargets` */
-        binaryTargets?: never;
-        /** `previewFeatures` is a reserved name and will only be available directly at `generator.previewFeatures` */
-        previewFeatures?: never;
-    } & {
-        [key: string]: string | string[] | undefined;
-    };
-    binaryTargets: BinaryTargetsEnvValue[];
-    previewFeatures: string[];
-    envPaths?: EnvPaths;
-    sourceFilePath: string;
-}
-
-export declare type GetAggregateResult<P extends OperationPayload, A> = {
-    [K in keyof A as K extends Aggregate ? K : never]: K extends '_count' ? A[K] extends true ? number : Count<A[K]> : {
-        [J in keyof A[K] & string]: P['scalars'][J] | null;
-    };
-};
-
-declare function getBatchRequestPayload(batch: JsonQuery[], transaction?: TransactionOptions_2<unknown>): QueryEngineBatchRequest;
-
-export declare type GetBatchResult = {
-    count: number;
-};
-
-export declare type GetCountResult<A> = A extends {
-    select: infer S;
-} ? (S extends true ? number : Count<S>) : number;
-
-declare function getExtensionContext<T>(that: T): Context_2<T>;
-
-export declare type GetFindResult<P extends OperationPayload, A, GlobalOmitOptions> = Equals<A, any> extends 1 ? DefaultSelection<P, A, GlobalOmitOptions> : A extends {
-    select: infer S extends object;
-} & Record<string, unknown> | {
-    include: infer I extends object;
-} & Record<string, unknown> ? {
-    [K in keyof S | keyof I as (S & I)[K] extends false | undefined | Skip | null ? never : K]: (S & I)[K] extends object ? P extends SelectablePayloadFields<K, (infer O)[]> ? O extends OperationPayload ? GetFindResult<O, (S & I)[K], GlobalOmitOptions>[] : never : P extends SelectablePayloadFields<K, infer O | null> ? O extends OperationPayload ? GetFindResult<O, (S & I)[K], GlobalOmitOptions> | SelectField<P, K> & null : never : K extends '_count' ? Count<GetFindResult<P, (S & I)[K], GlobalOmitOptions>> : never : P extends SelectablePayloadFields<K, (infer O)[]> ? O extends OperationPayload ? DefaultSelection<O, {}, GlobalOmitOptions>[] : never : P extends SelectablePayloadFields<K, infer O | null> ? O extends OperationPayload ? DefaultSelection<O, {}, GlobalOmitOptions> | SelectField<P, K> & null : never : P extends {
-        scalars: {
-            [k in K]: infer O;
-        };
-    } ? O : K extends '_count' ? Count<P['objects']> : never;
-} & (A extends {
-    include: any;
-} & Record<string, unknown> ? DefaultSelection<P, A & {
-    omit: A['omit'];
-}, GlobalOmitOptions> : unknown) : DefaultSelection<P, A, GlobalOmitOptions>;
-
-export declare type GetGroupByResult<P extends OperationPayload, A> = A extends {
-    by: string[];
-} ? Array<GetAggregateResult<P, A> & {
-    [K in A['by'][number]]: P['scalars'][K];
-}> : A extends {
-    by: string;
-} ? Array<GetAggregateResult<P, A> & {
-    [K in A['by']]: P['scalars'][K];
-}> : {}[];
-
-export declare type GetOmit<BaseKeys extends string, R extends InternalArgs['result'][string], ExtraType = never> = {
-    [K in (string extends keyof R ? never : keyof R) | BaseKeys]?: boolean | ExtraType;
-};
-
-export declare type GetPayloadResult<Base extends Record<any, any>, R extends InternalArgs['result'][string]> = Omit<Base, GetPayloadResultExtensionKeys<R>> & GetPayloadResultExtensionObject<R>;
-
-export declare type GetPayloadResultExtensionKeys<R extends InternalArgs['result'][string], KR extends keyof R = string extends keyof R ? never : keyof R> = KR;
-
-export declare type GetPayloadResultExtensionObject<R extends InternalArgs['result'][string]> = {
-    [K in GetPayloadResultExtensionKeys<R>]: R[K] extends () => {
-        compute: (...args: any) => infer C;
-    } ? C : never;
-};
-
-export declare function getPrismaClient(config: GetPrismaClientConfig): {
-    new (optionsArg?: PrismaClientOptions): {
-        _originalClient: any;
-        _runtimeDataModel: RuntimeDataModel;
-        _requestHandler: RequestHandler;
-        _connectionPromise?: Promise<any> | undefined;
-        _disconnectionPromise?: Promise<any> | undefined;
-        _engineConfig: EngineConfig;
-        _accelerateEngineConfig: AccelerateEngineConfig;
-        _clientVersion: string;
-        _errorFormat: ErrorFormat;
-        _tracingHelper: TracingHelper;
-        _previewFeatures: string[];
-        _activeProvider: string;
-        _globalOmit?: GlobalOmitOptions | undefined;
-        _extensions: MergedExtensionsList;
-        /**
-         * @remarks This is used internally by Policy, do not rename or remove
-         */
-        _engine: Engine;
-        /**
-         * A fully constructed/applied Client that references the parent
-         * PrismaClient. This is used for Client extensions only.
-         */
-        _appliedParent: any;
-        _createPrismaPromise: PrismaPromiseFactory;
-        $on<E extends ExtendedEventType>(eventType: E, callback: EventCallback<E>): any;
-        $connect(): Promise<void>;
-        /**
-         * Disconnect from the database
-         */
-        $disconnect(): Promise<void>;
-        /**
-         * Executes a raw query and always returns a number
-         */
-        $executeRawInternal(transaction: PrismaPromiseTransaction | undefined, clientMethod: string, args: RawQueryArgs, middlewareArgsMapper?: MiddlewareArgsMapper<unknown, unknown>): Promise<number>;
-        /**
-         * Executes a raw query provided through a safe tag function
-         * @see https://github.com/prisma/prisma/issues/7142
-         *
-         * @param query
-         * @param values
-         * @returns
-         */
-        $executeRaw(query: TemplateStringsArray | Sql, ...values: any[]): PrismaPromise_2<unknown, any>;
-        /**
-         * Unsafe counterpart of `$executeRaw` that is susceptible to SQL injections
-         * @see https://github.com/prisma/prisma/issues/7142
-         *
-         * @param query
-         * @param values
-         * @returns
-         */
-        $executeRawUnsafe(query: string, ...values: RawValue[]): PrismaPromise_2<unknown, any>;
-        /**
-         * Executes a raw command only for MongoDB
-         *
-         * @param command
-         * @returns
-         */
-        $runCommandRaw(command: Record<string, JsInputValue>): PrismaPromise_2<unknown, any>;
-        /**
-         * Executes a raw query and returns selected data
-         */
-        $queryRawInternal(transaction: PrismaPromiseTransaction | undefined, clientMethod: string, args: RawQueryArgs, middlewareArgsMapper?: MiddlewareArgsMapper<unknown, unknown>): Promise<any>;
-        /**
-         * Executes a raw query provided through a safe tag function
-         * @see https://github.com/prisma/prisma/issues/7142
-         *
-         * @param query
-         * @param values
-         * @returns
-         */
-        $queryRaw(query: TemplateStringsArray | Sql, ...values: any[]): PrismaPromise_2<unknown, any>;
-        /**
-         * Counterpart to $queryRaw, that returns strongly typed results
-         * @param typedSql
-         */
-        $queryRawTyped(typedSql: UnknownTypedSql): PrismaPromise_2<unknown, any>;
-        /**
-         * Unsafe counterpart of `$queryRaw` that is susceptible to SQL injections
-         * @see https://github.com/prisma/prisma/issues/7142
-         *
-         * @param query
-         * @param values
-         * @returns
-         */
-        $queryRawUnsafe(query: string, ...values: RawValue[]): PrismaPromise_2<unknown, any>;
-        /**
-         * Execute a batch of requests in a transaction
-         * @param requests
-         * @param options
-         */
-        _transactionWithArray({ promises, options, }: {
-            promises: Array<PrismaPromise_2<any>>;
-            options?: BatchTransactionOptions;
-        }): Promise<any>;
-        /**
-         * Perform a long-running transaction
-         * @param callback
-         * @param options
-         * @returns
-         */
-        _transactionWithCallback({ callback, options, }: {
-            callback: (client: Client) => Promise<unknown>;
-            options?: Options;
-        }): Promise<unknown>;
-        _createItxClient(transaction: PrismaPromiseInteractiveTransaction): Client;
-        /**
-         * Execute queries within a transaction
-         * @param input a callback or a query list
-         * @param options to set timeouts (callback)
-         * @returns
-         */
-        $transaction(input: any, options?: any): Promise<any>;
-        /**
-         * Runs the middlewares over params before executing a request
-         * @param internalParams
-         * @returns
-         */
-        _request(internalParams: InternalRequestParams): Promise<any>;
-        _executeRequest({ args, clientMethod, dataPath, callsite, action, model, argsMapper, transaction, unpacker, otelParentCtx, customDataProxyFetch, }: InternalRequestParams): Promise<any>;
-        $metrics: MetricsClient;
-        /**
-         * Shortcut for checking a preview flag
-         * @param feature preview flag
-         * @returns
-         */
-        _hasPreviewFlag(feature: string): boolean;
-        $applyPendingMigrations(): Promise<void>;
-        $extends: typeof $extends;
-        readonly [Symbol.toStringTag]: string;
-    };
-};
-
-/**
- * Config that is stored into the generated client. When the generated client is
- * loaded, this same config is passed to {@link getPrismaClient} which creates a
- * closure with that config around a non-instantiated [[PrismaClient]].
- */
-export declare type GetPrismaClientConfig = {
-    runtimeDataModel: RuntimeDataModel;
-    generator?: GeneratorConfig;
-    relativeEnvPaths?: {
-        rootEnvPath?: string | null;
-        schemaEnvPath?: string | null;
-    };
-    relativePath: string;
-    dirname: string;
-    clientVersion: string;
-    engineVersion: string;
-    datasourceNames: string[];
-    activeProvider: ActiveConnectorType;
-    /**
-     * The contents of the schema encoded into a string
-     * @remarks only used for the purpose of data proxy
-     */
-    inlineSchema: string;
-    /**
-     * A special env object just for the data proxy edge runtime.
-     * Allows bundlers to inject their own env variables (Vercel).
-     * Allows platforms to declare global variables as env (Workers).
-     * @remarks only used for the purpose of data proxy
-     */
-    injectableEdgeEnv?: () => LoadedEnv;
-    /**
-     * The contents of the datasource url saved in a string.
-     * This can either be an env var name or connection string.
-     * It is needed by the client to connect to the Data Proxy.
-     * @remarks only used for the purpose of data proxy
-     */
-    inlineDatasources: {
-        [name in string]: {
-            url: EnvValue;
-        };
-    };
-    /**
-     * The string hash that was produced for a given schema
-     * @remarks only used for the purpose of data proxy
-     */
-    inlineSchemaHash: string;
-    /**
-     * A marker to indicate that the client was not generated via `prisma
-     * generate` but was generated via `generate --postinstall` script instead.
-     * @remarks used to error for Vercel/Netlify for schema caching issues
-     */
-    postinstall?: boolean;
-    /**
-     * Information about the CI where the Prisma Client has been generated. The
-     * name of the CI environment is stored at generation time because CI
-     * information is not always available at runtime. Moreover, the edge client
-     * has no notion of environment variables, so this works around that.
-     * @remarks used to error for Vercel/Netlify for schema caching issues
-     */
-    ciName?: string;
-    /**
-     * Information about whether we have not found a schema.prisma file in the
-     * default location, and that we fell back to finding the schema.prisma file
-     * in the current working directory. This usually means it has been bundled.
-     */
-    isBundled?: boolean;
-    /**
-     * A boolean that is `false` when the client was generated with --no-engine. At
-     * runtime, this means the client will be bound to be using the Data Proxy.
-     */
-    copyEngine?: boolean;
-    /**
-     * Optional wasm loading configuration
-     */
-    engineWasm?: EngineWasmLoadingConfig;
-    compilerWasm?: CompilerWasmLoadingConfig;
-};
-
-export declare type GetResult<Payload extends OperationPayload, Args, OperationName extends Operation = 'findUniqueOrThrow', GlobalOmitOptions = {}> = {
-    findUnique: GetFindResult<Payload, Args, GlobalOmitOptions> | null;
-    findUniqueOrThrow: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    findFirst: GetFindResult<Payload, Args, GlobalOmitOptions> | null;
-    findFirstOrThrow: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    findMany: GetFindResult<Payload, Args, GlobalOmitOptions>[];
-    create: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    createMany: GetBatchResult;
-    createManyAndReturn: GetFindResult<Payload, Args, GlobalOmitOptions>[];
-    update: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    updateMany: GetBatchResult;
-    updateManyAndReturn: GetFindResult<Payload, Args, GlobalOmitOptions>[];
-    upsert: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    delete: GetFindResult<Payload, Args, GlobalOmitOptions>;
-    deleteMany: GetBatchResult;
-    aggregate: GetAggregateResult<Payload, Args>;
-    count: GetCountResult<Args>;
-    groupBy: GetGroupByResult<Payload, Args>;
-    $queryRaw: unknown;
-    $queryRawTyped: unknown;
-    $executeRaw: number;
-    $queryRawUnsafe: unknown;
-    $executeRawUnsafe: number;
-    $runCommandRaw: JsonObject;
-    findRaw: JsonObject;
-    aggregateRaw: JsonObject;
-}[OperationName];
-
-export declare function getRuntime(): GetRuntimeOutput;
-
-declare type GetRuntimeOutput = {
-    id: RuntimeName;
-    prettyName: string;
-    isEdge: boolean;
-};
-
-export declare type GetSelect<Base extends Record<any, any>, R extends InternalArgs['result'][string], KR extends keyof R = string extends keyof R ? never : keyof R> = {
-    [K in KR | keyof Base]?: K extends KR ? boolean : Base[K];
-};
-
-declare type GlobalOmitOptions = {
-    [modelName: string]: {
-        [fieldName: string]: boolean;
-    };
-};
-
-declare type HandleErrorParams = {
-    args: JsArgs;
-    error: any;
-    clientMethod: string;
-    callsite?: CallSite;
-    transaction?: PrismaPromiseTransaction;
-    modelName?: string;
-    globalOmit?: GlobalOmitOptions;
-};
-
-declare type HrTime = [number, number];
-
-/**
- * Defines High-Resolution Time.
- *
- * The first number, HrTime[0], is UNIX Epoch time in seconds since 00:00:00 UTC on 1 January 1970.
- * The second number, HrTime[1], represents the partial second elapsed since Unix Epoch time represented by first number in nanoseconds.
- * For example, 2021-01-01T12:30:10.150Z in UNIX Epoch time in milliseconds is represented as 1609504210150.
- * The first number is calculated by converting and truncating the Epoch time in milliseconds to seconds:
- * HrTime[0] = Math.trunc(1609504210150 / 1000) = 1609504210.
- * The second number is calculated by converting the digits after the decimal point of the subtraction, (1609504210150 / 1000) - HrTime[0], to nanoseconds:
- * HrTime[1] = Number((1609504210.150 - HrTime[0]).toFixed(9)) * 1e9 = 150000000.
- * This is represented in HrTime format as [1609504210, 150000000].
- */
-declare type HrTime_2 = [number, number];
-
-declare type Index = ReadonlyDeep_2<{
-    model: string;
-    type: IndexType;
-    isDefinedOnField: boolean;
-    name?: string;
-    dbName?: string;
-    algorithm?: string;
-    clustered?: boolean;
-    fields: IndexField[];
-}>;
-
-declare type IndexField = ReadonlyDeep_2<{
-    name: string;
-    sortOrder?: SortOrder;
-    length?: number;
-    operatorClass?: string;
-}>;
-
-declare type IndexType = 'id' | 'normal' | 'unique' | 'fulltext';
-
-declare type InMemoryOps = {
-    pagination: Pagination | null;
-    distinct: string[] | null;
-    reverse: boolean;
-    linkingFields: string[] | null;
-    nested: Record<string, InMemoryOps>;
-};
-
-/**
- * Matches a JSON array.
- * Unlike \`JsonArray\`, readonly arrays are assignable to this type.
- */
-export declare interface InputJsonArray extends ReadonlyArray<InputJsonValue | null> {
-}
-
-/**
- * Matches a JSON object.
- * Unlike \`JsonObject\`, this type allows undefined and read-only properties.
- */
-export declare type InputJsonObject = {
-    readonly [Key in string]?: InputJsonValue | null;
-};
-
-/**
- * Matches any valid value that can be used as an input for operations like
- * create and update as the value of a JSON field. Unlike \`JsonValue\`, this
- * type allows read-only arrays and read-only object properties and disallows
- * \`null\` at the top level.
- *
- * \`null\` cannot be used as the value of a JSON field because its meaning
- * would be ambiguous. Use \`Prisma.JsonNull\` to store the JSON null value or
- * \`Prisma.DbNull\` to clear the JSON value and set the field to the database
- * NULL value instead.
- *
- * @see https://www.prisma.io/docs/concepts/components/prisma-client/working-with-fields/working-with-json-fields#filtering-by-null-values
- */
-export declare type InputJsonValue = string | number | boolean | InputJsonObject | InputJsonArray | {
-    toJSON(): unknown;
-};
-
-declare type InputType = ReadonlyDeep_2<{
-    name: string;
-    constraints: {
-        maxNumFields: number | null;
-        minNumFields: number | null;
-        fields?: string[];
-    };
-    meta?: {
-        source?: string;
-        grouping?: string;
-    };
-    fields: SchemaArg[];
-}>;
-
-declare type InputTypeRef = TypeRef<'scalar' | 'inputObjectTypes' | 'enumTypes' | 'fieldRefTypes'>;
-
-declare type InteractiveTransactionInfo<Payload = unknown> = {
-    /**
-     * Transaction ID returned by the query engine.
-     */
-    id: string;
-    /**
-     * Arbitrary payload the meaning of which depends on the `Engine` implementation.
-     * For example, `DataProxyEngine` needs to associate different API endpoints with transactions.
-     * In `LibraryEngine` and `BinaryEngine` it is currently not used.
-     */
-    payload: Payload;
-};
-
-declare type InteractiveTransactionOptions<Payload> = Transaction_2.InteractiveTransactionInfo<Payload>;
-
-export declare type InternalArgs<R = {
-    [K in string]: {
-        [K in string]: unknown;
-    };
-}, M = {
-    [K in string]: {
-        [K in string]: unknown;
-    };
-}, Q = {
-    [K in string]: {
-        [K in string]: unknown;
-    };
-}, C = {
-    [K in string]: unknown;
-}> = {
-    result: {
-        [K in keyof R]: {
-            [P in keyof R[K]]: () => R[K][P];
-        };
-    };
-    model: {
-        [K in keyof M]: {
-            [P in keyof M[K]]: () => M[K][P];
-        };
-    };
-    query: {
-        [K in keyof Q]: {
-            [P in keyof Q[K]]: () => Q[K][P];
-        };
-    };
-    client: {
-        [K in keyof C]: () => C[K];
-    };
-};
-
-declare type InternalRequestParams = {
-    /**
-     * The original client method being called.
-     * Even though the rootField / operation can be changed,
-     * this method stays as it is, as it's what the user's
-     * code looks like
-     */
-    clientMethod: string;
-    /**
-     * Name of js model that triggered the request. Might be used
-     * for warnings or error messages
-     */
-    jsModelName?: string;
-    callsite?: CallSite;
-    transaction?: PrismaPromiseTransaction;
-    unpacker?: Unpacker;
-    otelParentCtx?: Context;
-    /** Used to "desugar" a user input into an "expanded" one */
-    argsMapper?: (args?: UserArgs_2) => UserArgs_2;
-    /** Used to convert args for middleware and back */
-    middlewareArgsMapper?: MiddlewareArgsMapper<unknown, unknown>;
-    /** Used for Accelerate client extension via Data Proxy */
-    customDataProxyFetch?: AccelerateExtensionFetchDecorator;
-} & Omit<QueryMiddlewareParams, 'runInTransaction'>;
-
-declare type IsolationLevel = 'READ UNCOMMITTED' | 'READ COMMITTED' | 'REPEATABLE READ' | 'SNAPSHOT' | 'SERIALIZABLE';
-
-declare type IsolationLevel_2 = 'ReadUncommitted' | 'ReadCommitted' | 'RepeatableRead' | 'Snapshot' | 'Serializable';
-
-declare function isSkip(value: unknown): value is Skip;
-
-export declare function isTypedSql(value: unknown): value is UnknownTypedSql;
-
-export declare type ITXClientDenyList = (typeof denylist)[number];
-
-export declare const itxClientDenyList: readonly (string | symbol)[];
-
-declare interface Job {
-    resolve: (data: any) => void;
-    reject: (data: any) => void;
-    request: any;
-}
-
-/**
- * Create a SQL query for a list of values.
- */
-export declare function join(values: readonly RawValue[], separator?: string, prefix?: string, suffix?: string): Sql;
-
-declare type JoinExpression = {
-    child: QueryPlanNode;
-    on: [left: string, right: string][];
-    parentField: string;
-    isRelationUnique: boolean;
-};
-
-export declare type JsArgs = {
-    select?: Selection_2;
-    include?: Selection_2;
-    omit?: Omission;
-    [argName: string]: JsInputValue;
-};
-
-export declare type JsInputValue = null | undefined | string | number | boolean | bigint | Uint8Array | Date | DecimalJsLike | ObjectEnumValue | RawParameters | JsonConvertible | FieldRef<string, unknown> | JsInputValue[] | Skip | {
-    [key: string]: JsInputValue;
-};
-
-declare type JsonArgumentValue = number | string | boolean | null | RawTaggedValue | JsonArgumentValue[] | {
-    [key: string]: JsonArgumentValue;
-};
-
-/**
- * From https://github.com/sindresorhus/type-fest/
- * Matches a JSON array.
- */
-export declare interface JsonArray extends Array<JsonValue> {
-}
-
-export declare type JsonBatchQuery = {
-    batch: JsonQuery[];
-    transaction?: {
-        isolationLevel?: IsolationLevel_2;
-    };
-};
-
-export declare interface JsonConvertible {
-    toJSON(): unknown;
-}
-
-declare type JsonFieldSelection = {
-    arguments?: Record<string, JsonArgumentValue> | RawTaggedValue;
-    selection: JsonSelectionSet;
-};
-
-declare class JsonNull extends NullTypesEnumValue {
-    #private;
-}
-
-/**
- * From https://github.com/sindresorhus/type-fest/
- * Matches a JSON object.
- * This type can be useful to enforce some input to be JSON-compatible or as a super-type to be extended from.
- */
-export declare type JsonObject = {
-    [Key in string]?: JsonValue;
-};
-
-export declare type JsonQuery = {
-    modelName?: string;
-    action: JsonQueryAction;
-    query: JsonFieldSelection;
-};
-
-declare type JsonQueryAction = 'findUnique' | 'findUniqueOrThrow' | 'findFirst' | 'findFirstOrThrow' | 'findMany' | 'createOne' | 'createMany' | 'createManyAndReturn' | 'updateOne' | 'updateMany' | 'updateManyAndReturn' | 'deleteOne' | 'deleteMany' | 'upsertOne' | 'aggregate' | 'groupBy' | 'executeRaw' | 'queryRaw' | 'runCommandRaw' | 'findRaw' | 'aggregateRaw';
-
-declare type JsonSelectionSet = {
-    $scalars?: boolean;
-    $composites?: boolean;
-} & {
-    [fieldName: string]: boolean | JsonFieldSelection;
-};
-
-/**
- * From https://github.com/sindresorhus/type-fest/
- * Matches any valid JSON value.
- */
-export declare type JsonValue = string | number | boolean | JsonObject | JsonArray | null;
-
-export declare type JsOutputValue = null | string | number | boolean | bigint | Uint8Array | Date | Decimal | JsOutputValue[] | {
-    [key: string]: JsOutputValue;
-};
-
-export declare type JsPromise<T> = Promise<T> & {};
-
-declare type KnownErrorParams = {
-    code: string;
-    clientVersion: string;
-    meta?: Record<string, unknown>;
-    batchRequestIdx?: number;
-};
-
-/**
- * A pointer from the current {@link Span} to another span in the same trace or
- * in a different trace.
- * Few examples of Link usage.
- * 1. Batch Processing: A batch of elements may contain elements associated
- *    with one or more traces/spans. Since there can only be one parent
- *    SpanContext, Link is used to keep reference to SpanContext of all
- *    elements in the batch.
- * 2. Public Endpoint: A SpanContext in incoming client request on a public
- *    endpoint is untrusted from service provider perspective. In such case it
- *    is advisable to start a new trace with appropriate sampling decision.
- *    However, it is desirable to associate incoming SpanContext to new trace
- *    initiated on service provider side so two traces (from Client and from
- *    Service Provider) can be correlated.
- */
-declare interface Link {
-    /** The {@link SpanContext} of a linked span. */
-    context: SpanContext;
-    /** A set of {@link SpanAttributes} on the link. */
-    attributes?: SpanAttributes;
-    /** Count of attributes of the link that were dropped due to collection limits */
-    droppedAttributesCount?: number;
-}
-
-declare type LoadedEnv = {
-    message?: string;
-    parsed: {
-        [x: string]: string;
-    };
-} | undefined;
-
-declare type LocationInFile = {
-    fileName: string;
-    lineNumber: number | null;
-    columnNumber: number | null;
-};
-
-declare type LogDefinition = {
-    level: LogLevel;
-    emit: 'stdout' | 'event';
-};
-
-/**
- * Typings for the events we emit.
- *
- * @remarks
- * If this is updated, our edge runtime shim needs to be updated as well.
- */
-declare type LogEmitter = {
-    on<E extends EngineEventType>(event: E, listener: (event: EngineEvent<E>) => void): LogEmitter;
-    emit(event: QueryEventType, payload: QueryEvent): boolean;
-    emit(event: LogEventType, payload: LogEvent): boolean;
-};
-
-declare type LogEvent = {
-    timestamp: Date;
-    message: string;
-    target: string;
-};
-
-declare type LogEventType = 'info' | 'warn' | 'error';
-
-declare type LogLevel = 'info' | 'query' | 'warn' | 'error';
-
-/**
- * Generates more strict variant of an enum which, unlike regular enum,
- * throws on non-existing property access. This can be useful in following situations:
- * - we have an API, that accepts both `undefined` and `SomeEnumType` as an input
- * - enum values are generated dynamically from DMMF.
- *
- * In that case, if using normal enums and no compile-time typechecking, using non-existing property
- * will result in `undefined` value being used, which will be accepted. Using strict enum
- * in this case will help to have a runtime exception, telling you that you are probably doing something wrong.
- *
- * Note: if you need to check for existence of a value in the enum you can still use either
- * `in` operator or `hasOwnProperty` function.
- *
- * @param definition
- * @returns
- */
-export declare function makeStrictEnum<T extends Record<PropertyKey, string | number>>(definition: T): T;
-
-export declare function makeTypedQueryFactory(sql: string): (...values: any[]) => TypedSql<any[], unknown>;
-
-declare type MappedError = {
-    kind: 'GenericJs';
-    id: number;
-} | {
-    kind: 'UnsupportedNativeDataType';
-    type: string;
-} | {
-    kind: 'InvalidIsolationLevel';
-    level: string;
-} | {
-    kind: 'LengthMismatch';
-    column?: string;
-} | {
-    kind: 'UniqueConstraintViolation';
-    constraint?: {
-        fields: string[];
-    } | {
-        index: string;
-    } | {
-        foreignKey: {};
-    };
-} | {
-    kind: 'NullConstraintViolation';
-    constraint?: {
-        fields: string[];
-    } | {
-        index: string;
-    } | {
-        foreignKey: {};
-    };
-} | {
-    kind: 'ForeignKeyConstraintViolation';
-    constraint?: {
-        fields: string[];
-    } | {
-        index: string;
-    } | {
-        foreignKey: {};
-    };
-} | {
-    kind: 'DatabaseNotReachable';
-    host?: string;
-    port?: number;
-} | {
-    kind: 'DatabaseDoesNotExist';
-    db?: string;
-} | {
-    kind: 'DatabaseAlreadyExists';
-    db?: string;
-} | {
-    kind: 'DatabaseAccessDenied';
-    db?: string;
-} | {
-    kind: 'ConnectionClosed';
-} | {
-    kind: 'TlsConnectionError';
-    reason: string;
-} | {
-    kind: 'AuthenticationFailed';
-    user?: string;
-} | {
-    kind: 'TransactionWriteConflict';
-} | {
-    kind: 'TableDoesNotExist';
-    table?: string;
-} | {
-    kind: 'ColumnNotFound';
-    column?: string;
-} | {
-    kind: 'TooManyConnections';
-    cause: string;
-} | {
-    kind: 'ValueOutOfRange';
-    cause: string;
-} | {
-    kind: 'MissingFullTextSearchIndex';
-} | {
-    kind: 'SocketTimeout';
-} | {
-    kind: 'InconsistentColumnData';
-    cause: string;
-} | {
-    kind: 'TransactionAlreadyClosed';
-    cause: string;
-} | {
-    kind: 'postgres';
-    code: string;
-    severity: string;
-    message: string;
-    detail: string | undefined;
-    column: string | undefined;
-    hint: string | undefined;
-} | {
-    kind: 'mysql';
-    code: number;
-    message: string;
-    state: string;
-} | {
-    kind: 'sqlite';
-    /**
-     * Sqlite extended error code: https://www.sqlite.org/rescode.html
-     */
-    extendedCode: number;
-    message: string;
-} | {
-    kind: 'mssql';
-    code: number;
-    message: string;
-};
-
-declare type Mappings = ReadonlyDeep_2<{
-    modelOperations: ModelMapping[];
-    otherOperations: {
-        read: string[];
-        write: string[];
-    };
-}>;
-
-/**
- * Class that holds the list of all extensions, applied to particular instance,
- * as well as resolved versions of the components that need to apply on
- * different levels. Main idea of this class: avoid re-resolving as much of the
- * stuff as possible when new extensions are added while also delaying the
- * resolve until the point it is actually needed. For example, computed fields
- * of the model won't be resolved unless the model is actually queried. Neither
- * adding extensions with `client` component only cause other components to
- * recompute.
- */
-declare class MergedExtensionsList {
-    private head?;
-    private constructor();
-    static empty(): MergedExtensionsList;
-    static single(extension: ExtensionArgs): MergedExtensionsList;
-    isEmpty(): boolean;
-    append(extension: ExtensionArgs): MergedExtensionsList;
-    getAllComputedFields(dmmfModelName: string): ComputedFieldsMap | undefined;
-    getAllClientExtensions(): ClientArg | undefined;
-    getAllModelExtensions(dmmfModelName: string): ModelArg | undefined;
-    getAllQueryCallbacks(jsModelName: string, operation: string): any;
-    getAllBatchQueryCallbacks(): BatchQueryOptionsCb[];
-}
-
-export declare type MergeExtArgs<TypeMap extends TypeMapDef, ExtArgs extends Record<any, any>, Args extends Record<any, any>> = ComputeDeep<ExtArgs & Args & AllModelsToStringIndex<TypeMap, Args, 'result'> & AllModelsToStringIndex<TypeMap, Args, 'model'>>;
-
-export declare type Metric<T> = {
-    key: string;
-    value: T;
-    labels: Record<string, string>;
-    description: string;
-};
-
-export declare type MetricHistogram = {
-    buckets: MetricHistogramBucket[];
-    sum: number;
-    count: number;
-};
-
-export declare type MetricHistogramBucket = [maxValue: number, count: number];
-
-export declare type Metrics = {
-    counters: Metric<number>[];
-    gauges: Metric<number>[];
-    histograms: Metric<MetricHistogram>[];
-};
-
-export declare class MetricsClient {
-    private _client;
-    constructor(client: Client);
-    /**
-     * Returns all metrics gathered up to this point in prometheus format.
-     * Result of this call can be exposed directly to prometheus scraping endpoint
-     *
-     * @param options
-     * @returns
-     */
-    prometheus(options?: MetricsOptions): Promise<string>;
-    /**
-     * Returns all metrics gathered up to this point in prometheus format.
-     *
-     * @param options
-     * @returns
-     */
-    json(options?: MetricsOptions): Promise<Metrics>;
-}
-
-declare type MetricsOptions = {
-    /**
-     * Labels to add to every metrics in key-value format
-     */
-    globalLabels?: Record<string, string>;
-};
-
-declare type MetricsOptionsCommon = {
-    globalLabels?: Record<string, string>;
-};
-
-declare type MetricsOptionsJson = {
-    format: 'json';
-} & MetricsOptionsCommon;
-
-declare type MetricsOptionsPrometheus = {
-    format: 'prometheus';
-} & MetricsOptionsCommon;
-
-declare type MiddlewareArgsMapper<RequestArgs, MiddlewareArgs> = {
-    requestArgsToMiddlewareArgs(requestArgs: RequestArgs): MiddlewareArgs;
-    middlewareArgsToRequestArgs(middlewareArgs: MiddlewareArgs): RequestArgs;
-};
-
-declare type Model = ReadonlyDeep_2<{
-    name: string;
-    dbName: string | null;
-    schema: string | null;
-    fields: Field[];
-    uniqueFields: string[][];
-    uniqueIndexes: uniqueIndex[];
-    documentation?: string;
-    primaryKey: PrimaryKey | null;
-    isGenerated?: boolean;
-}>;
-
-declare enum ModelAction {
-    findUnique = "findUnique",
-    findUniqueOrThrow = "findUniqueOrThrow",
-    findFirst = "findFirst",
-    findFirstOrThrow = "findFirstOrThrow",
-    findMany = "findMany",
-    create = "create",
-    createMany = "createMany",
-    createManyAndReturn = "createManyAndReturn",
-    update = "update",
-    updateMany = "updateMany",
-    updateManyAndReturn = "updateManyAndReturn",
-    upsert = "upsert",
-    delete = "delete",
-    deleteMany = "deleteMany",
-    groupBy = "groupBy",
-    count = "count",// TODO: count does not actually exist in DMMF
-    aggregate = "aggregate",
-    findRaw = "findRaw",
-    aggregateRaw = "aggregateRaw"
-}
-
-export declare type ModelArg = {
-    [MethodName in string]: unknown;
-};
-
-export declare type ModelArgs = {
-    model: {
-        [ModelName in string]: ModelArg;
-    };
-};
-
-export declare type ModelKey<TypeMap extends TypeMapDef, M extends PropertyKey> = M extends keyof TypeMap['model'] ? M : Capitalize<M & string>;
-
-declare type ModelMapping = ReadonlyDeep_2<{
-    model: string;
-    plural: string;
-    findUnique?: string | null;
-    findUniqueOrThrow?: string | null;
-    findFirst?: string | null;
-    findFirstOrThrow?: string | null;
-    findMany?: string | null;
-    create?: string | null;
-    createMany?: string | null;
-    createManyAndReturn?: string | null;
-    update?: string | null;
-    updateMany?: string | null;
-    updateManyAndReturn?: string | null;
-    upsert?: string | null;
-    delete?: string | null;
-    deleteMany?: string | null;
-    aggregate?: string | null;
-    groupBy?: string | null;
-    count?: string | null;
-    findRaw?: string | null;
-    aggregateRaw?: string | null;
-}>;
-
-export declare type ModelQueryOptionsCb = (args: ModelQueryOptionsCbArgs) => Promise<any>;
-
-export declare type ModelQueryOptionsCbArgs = {
-    model: string;
-    operation: string;
-    args: JsArgs;
-    query: (args: JsArgs) => Promise<unknown>;
-};
-
-declare type MultiBatchResponse = {
-    type: 'multi';
-    plans: QueryPlanNode[];
-};
-
-export declare type NameArgs = {
-    name?: string;
-};
-
-export declare type Narrow<A> = {
-    [K in keyof A]: A[K] extends Function ? A[K] : Narrow<A[K]>;
-} | (A extends Narrowable ? A : never);
-
-export declare type Narrowable = string | number | bigint | boolean | [];
-
-export declare type NeverToUnknown<T> = [T] extends [never] ? unknown : T;
-
-declare class NullTypesEnumValue extends ObjectEnumValue {
-    _getNamespace(): string;
-}
-
-/**
- * Base class for unique values of object-valued enums.
- */
-export declare abstract class ObjectEnumValue {
-    constructor(arg?: symbol);
-    abstract _getNamespace(): string;
-    _getName(): string;
-    toString(): string;
-}
-
-export declare const objectEnumValues: {
-    classes: {
-        DbNull: typeof DbNull;
-        JsonNull: typeof JsonNull;
-        AnyNull: typeof AnyNull;
-    };
-    instances: {
-        DbNull: DbNull;
-        JsonNull: JsonNull;
-        AnyNull: AnyNull;
-    };
-};
-
-declare const officialPrismaAdapters: readonly ["@prisma/adapter-planetscale", "@prisma/adapter-neon", "@prisma/adapter-libsql", "@prisma/adapter-better-sqlite3", "@prisma/adapter-d1", "@prisma/adapter-pg", "@prisma/adapter-mssql", "@prisma/adapter-mariadb"];
-
-export declare type Omission = Record<string, boolean | Skip>;
-
-declare type Omit_2<T, K extends string | number | symbol> = {
-    [P in keyof T as P extends K ? never : P]: T[P];
-};
-export { Omit_2 as Omit }
-
-export declare type OmitValue<Omit, Key> = Key extends keyof Omit ? Omit[Key] : false;
-
-export declare type Operation = 'findFirst' | 'findFirstOrThrow' | 'findUnique' | 'findUniqueOrThrow' | 'findMany' | 'create' | 'createMany' | 'createManyAndReturn' | 'update' | 'updateMany' | 'updateManyAndReturn' | 'upsert' | 'delete' | 'deleteMany' | 'aggregate' | 'count' | 'groupBy' | '$queryRaw' | '$executeRaw' | '$queryRawUnsafe' | '$executeRawUnsafe' | 'findRaw' | 'aggregateRaw' | '$runCommandRaw';
-
-export declare type OperationPayload = {
-    name: string;
-    scalars: {
-        [ScalarName in string]: unknown;
-    };
-    objects: {
-        [ObjectName in string]: unknown;
-    };
-    composites: {
-        [CompositeName in string]: unknown;
-    };
-};
-
-export declare type Optional<O, K extends keyof any = keyof O> = {
-    [P in K & keyof O]?: O[P];
-} & {
-    [P in Exclude<keyof O, K>]: O[P];
-};
-
-export declare type OptionalFlat<T> = {
-    [K in keyof T]?: T[K];
-};
-
-export declare type OptionalKeys<O> = {
-    [K in keyof O]-?: {} extends Pick_2<O, K> ? K : never;
-}[keyof O];
-
-declare type Options = {
-    /** Timeout for starting the transaction */
-    maxWait?: number;
-    /** Timeout for the transaction body */
-    timeout?: number;
-    /** Transaction isolation level */
-    isolationLevel?: IsolationLevel_2;
-};
-
-declare type Options_2 = {
-    clientVersion: string;
-};
-
-export declare type Or<A extends 1 | 0, B extends 1 | 0> = {
-    0: {
-        0: 0;
-        1: 1;
-    };
-    1: {
-        0: 1;
-        1: 1;
-    };
-}[A][B];
-
-declare type OtherOperationMappings = ReadonlyDeep_2<{
-    read: string[];
-    write: string[];
-}>;
-
-declare type OutputType = ReadonlyDeep_2<{
-    name: string;
-    fields: SchemaField[];
-}>;
-
-declare type OutputTypeRef = TypeRef<'scalar' | 'outputObjectTypes' | 'enumTypes'>;
-
-declare type Pagination = {
-    cursor: Record<string, PrismaValue> | null;
-    take: number | null;
-    skip: number | null;
-};
-
-export declare function Param<$Type, $Value extends string>(name: $Value): Param<$Type, $Value>;
-
-export declare type Param<out $Type, $Value extends string> = {
-    readonly name: $Value;
-};
-
-export declare type PatchFlat<O1, O2> = O1 & Omit_2<O2, keyof O1>;
-
-export declare type Path<O, P, Default = never> = O extends unknown ? P extends [infer K, ...infer R] ? K extends keyof O ? Path<O[K], R> : Default : O : never;
-
-export declare type Payload<T, F extends Operation = never> = T extends {
-    [K: symbol]: {
-        types: {
-            payload: any;
-        };
-    };
-} ? T[symbol]['types']['payload'] : any;
-
-export declare type PayloadToResult<P, O extends Record_2<any, any> = RenameAndNestPayloadKeys<P>> = {
-    [K in keyof O]?: O[K][K] extends any[] ? PayloadToResult<O[K][K][number]>[] : O[K][K] extends object ? PayloadToResult<O[K][K]> : O[K][K];
-};
-
-declare type Pick_2<T, K extends string | number | symbol> = {
-    [P in keyof T as P extends K ? P : never]: T[P];
-};
-export { Pick_2 as Pick }
-
-declare interface PlaceholderFormat {
-    prefix: string;
-    hasNumbering: boolean;
-}
-
-declare type PrimaryKey = ReadonlyDeep_2<{
-    name: string | null;
-    fields: string[];
-}>;
-
-export declare class PrismaClientInitializationError extends Error {
-    clientVersion: string;
-    errorCode?: string;
-    retryable?: boolean;
-    constructor(message: string, clientVersion: string, errorCode?: string);
-    get [Symbol.toStringTag](): string;
-}
-
-export declare class PrismaClientKnownRequestError extends Error implements ErrorWithBatchIndex {
-    code: string;
-    meta?: Record<string, unknown>;
-    clientVersion: string;
-    batchRequestIdx?: number;
-    constructor(message: string, { code, clientVersion, meta, batchRequestIdx }: KnownErrorParams);
-    get [Symbol.toStringTag](): string;
-}
-
-export declare type PrismaClientOptions = {
-    /**
-     * Overwrites the primary datasource url from your schema.prisma file
-     */
-    datasourceUrl?: string;
-    /**
-     * Instance of a Driver Adapter, e.g., like one provided by `@prisma/adapter-planetscale.
-     */
-    adapter?: SqlDriverAdapterFactory | null;
-    /**
-     * Overwrites the datasource url from your schema.prisma file
-     */
-    datasources?: Datasources;
-    /**
-     * @default "colorless"
-     */
-    errorFormat?: ErrorFormat;
-    /**
-     * The default values for Transaction options
-     * maxWait ?= 2000
-     * timeout ?= 5000
-     */
-    transactionOptions?: Transaction_2.Options;
-    /**
-     * @example
-     * \`\`\`
-     * // Defaults to stdout
-     * log: ['query', 'info', 'warn']
-     *
-     * // Emit as events
-     * log: [
-     *  { emit: 'stdout', level: 'query' },
-     *  { emit: 'stdout', level: 'info' },
-     *  { emit: 'stdout', level: 'warn' }
-     * ]
-     * \`\`\`
-     * Read more in our [docs](https://www.prisma.io/docs/reference/tools-and-interfaces/prisma-client/logging#the-log-option).
-     */
-    log?: Array<LogLevel | LogDefinition>;
-    omit?: GlobalOmitOptions;
-    /**
-     * @internal
-     * You probably don't want to use this. \`__internal\` is used by internal tooling.
-     */
-    __internal?: {
-        debug?: boolean;
-        engine?: {
-            cwd?: string;
-            binaryPath?: string;
-            endpoint?: string;
-            allowTriggerPanic?: boolean;
-        };
-        /** This can be used for testing purposes */
-        configOverride?: (config: GetPrismaClientConfig) => GetPrismaClientConfig;
-    };
-};
-
-export declare class PrismaClientRustPanicError extends Error {
-    clientVersion: string;
-    constructor(message: string, clientVersion: string);
-    get [Symbol.toStringTag](): string;
-}
-
-export declare class PrismaClientUnknownRequestError extends Error implements ErrorWithBatchIndex {
-    clientVersion: string;
-    batchRequestIdx?: number;
-    constructor(message: string, { clientVersion, batchRequestIdx }: UnknownErrorParams);
-    get [Symbol.toStringTag](): string;
-}
-
-export declare class PrismaClientValidationError extends Error {
-    name: string;
-    clientVersion: string;
-    constructor(message: string, { clientVersion }: Options_2);
-    get [Symbol.toStringTag](): string;
-}
-
-declare function prismaGraphQLToJSError({ error, user_facing_error }: RequestError, clientVersion: string, activeProvider: string): PrismaClientKnownRequestError | PrismaClientUnknownRequestError;
-
-declare type PrismaOperationSpec<TArgs, TAction = string> = {
-    args: TArgs;
-    action: TAction;
-    model: string;
-};
-
-export declare interface PrismaPromise<T> extends Promise<T> {
-    [Symbol.toStringTag]: 'PrismaPromise';
-}
-
-/**
- * Prisma's `Promise` that is backwards-compatible. All additions on top of the
- * original `Promise` are optional so that it can be backwards-compatible.
- * @see [[createPrismaPromise]]
- */
-declare interface PrismaPromise_2<TResult, TSpec extends PrismaOperationSpec<unknown> = any> extends Promise<TResult> {
-    get spec(): TSpec;
-    /**
-     * Extension of the original `.then` function
-     * @param onfulfilled same as regular promises
-     * @param onrejected same as regular promises
-     * @param transaction transaction options
-     */
-    then<R1 = TResult, R2 = never>(onfulfilled?: (value: TResult) => R1 | PromiseLike<R1>, onrejected?: (error: unknown) => R2 | PromiseLike<R2>, transaction?: PrismaPromiseTransaction): Promise<R1 | R2>;
-    /**
-     * Extension of the original `.catch` function
-     * @param onrejected same as regular promises
-     * @param transaction transaction options
-     */
-    catch<R = never>(onrejected?: ((reason: any) => R | PromiseLike<R>) | undefined | null, transaction?: PrismaPromiseTransaction): Promise<TResult | R>;
-    /**
-     * Extension of the original `.finally` function
-     * @param onfinally same as regular promises
-     * @param transaction transaction options
-     */
-    finally(onfinally?: (() => void) | undefined | null, transaction?: PrismaPromiseTransaction): Promise<TResult>;
-    /**
-     * Called when executing a batch of regular tx
-     * @param transaction transaction options for batch tx
-     */
-    requestTransaction?(transaction: PrismaPromiseBatchTransaction): PromiseLike<unknown>;
-}
-
-declare type PrismaPromiseBatchTransaction = {
-    kind: 'batch';
-    id: number;
-    isolationLevel?: IsolationLevel_2;
-    index: number;
-    lock: PromiseLike<void>;
-};
-
-declare type PrismaPromiseCallback = (transaction?: PrismaPromiseTransaction) => Promise<unknown>;
-
-/**
- * Creates a [[PrismaPromise]]. It is Prisma's implementation of `Promise` which
- * is essentially a proxy for `Promise`. All the transaction-compatible client
- * methods return one, this allows for pre-preparing queries without executing
- * them until `.then` is called. It's the foundation of Prisma's query batching.
- * @param callback that will be wrapped within our promise implementation
- * @see [[PrismaPromise]]
- * @returns
- */
-declare type PrismaPromiseFactory = <T extends PrismaOperationSpec<unknown>>(callback: PrismaPromiseCallback, op?: T) => PrismaPromise_2<unknown>;
-
-declare type PrismaPromiseInteractiveTransaction<PayloadType = unknown> = {
-    kind: 'itx';
-    id: string;
-    payload: PayloadType;
-};
-
-declare type PrismaPromiseTransaction<PayloadType = unknown> = PrismaPromiseBatchTransaction | PrismaPromiseInteractiveTransaction<PayloadType>;
-
-declare type PrismaValue = string | boolean | number | PrismaValue[] | null | Record<string, unknown> | PrismaValuePlaceholder | PrismaValueGenerator;
-
-declare type PrismaValueGenerator = {
-    prisma__type: 'generatorCall';
-    prisma__value: {
-        name: string;
-        args: PrismaValue[];
-    };
-};
-
-declare type PrismaValuePlaceholder = {
-    prisma__type: 'param';
-    prisma__value: {
-        name: string;
-        type: string;
-    };
-};
-
-export declare const PrivateResultType: unique symbol;
-
-declare type Provider = 'mysql' | 'postgres' | 'sqlite' | 'sqlserver';
-
-declare namespace Public {
-    export {
-        validator
-    }
-}
-export { Public }
-
-declare namespace Public_2 {
-    export {
-        Args,
-        Result,
-        Payload,
-        PrismaPromise,
-        Operation,
-        Exact
-    }
-}
-
-declare type Query = ReadonlyDeep_2<{
-    name: string;
-    args: SchemaArg[];
-    output: QueryOutput;
-}>;
-
-declare interface Queryable<Query, Result> extends AdapterInfo {
-    /**
-     * Execute a query and return its result.
-     */
-    queryRaw(params: Query): Promise<Result>;
-    /**
-     * Execute a query and return the number of affected rows.
-     */
-    executeRaw(params: Query): Promise<number>;
-}
-
-declare type QueryCompiler = {
-    compile(request: string): {};
-    compileBatch(batchRequest: string): BatchResponse;
-    free(): void;
-};
-
-declare interface QueryCompilerConstructor {
-    new (options: QueryCompilerOptions): QueryCompiler;
-}
-
-declare type QueryCompilerOptions = {
-    datamodel: string;
-    provider: Provider;
-    connectionInfo: ConnectionInfo;
-};
-
-declare type QueryEngineBatchGraphQLRequest = {
-    batch: QueryEngineRequest[];
-    transaction?: boolean;
-    isolationLevel?: IsolationLevel_2;
-};
-
-declare type QueryEngineBatchRequest = QueryEngineBatchGraphQLRequest | JsonBatchQuery;
-
-declare type QueryEngineConfig = {
-    datamodel: string;
-    configDir: string;
-    logQueries: boolean;
-    ignoreEnvVarErrors: boolean;
-    datasourceOverrides: Record<string, string>;
-    env: Record<string, string | undefined>;
-    logLevel: QueryEngineLogLevel;
-    engineProtocol: QueryEngineProtocol;
-    enableTracing: boolean;
-};
-
-declare interface QueryEngineConstructor {
-    new (config: QueryEngineConfig, logger: (log: string) => void, adapter?: ErrorCapturingSqlDriverAdapter): QueryEngineInstance;
-}
-
-declare type QueryEngineInstance = {
-    connect(headers: string, requestId: string): Promise<void>;
-    disconnect(headers: string, requestId: string): Promise<void>;
-    /**
-     * Frees any resources allocated by the engine's WASM instance. This method is automatically created by WASM bindgen.
-     * Noop for other engines.
-     */
-    free?(): void;
-    /**
-     * @param requestStr JSON.stringified `QueryEngineRequest | QueryEngineBatchRequest`
-     * @param headersStr JSON.stringified `QueryEngineRequestHeaders`
-     */
-    query(requestStr: string, headersStr: string, transactionId: string | undefined, requestId: string): Promise<string>;
-    sdlSchema?(): Promise<string>;
-    startTransaction(options: string, traceHeaders: string, requestId: string): Promise<string>;
-    commitTransaction(id: string, traceHeaders: string, requestId: string): Promise<string>;
-    rollbackTransaction(id: string, traceHeaders: string, requestId: string): Promise<string>;
-    metrics?(options: string): Promise<string>;
-    applyPendingMigrations?(): Promise<void>;
-    trace(requestId: string): Promise<string | null>;
-};
-
-declare type QueryEngineLogLevel = 'trace' | 'debug' | 'info' | 'warn' | 'error' | 'off';
-
-declare type QueryEngineProtocol = 'graphql' | 'json';
-
-declare type QueryEngineRequest = {
-    query: string;
-    variables: Object;
-};
-
-declare type QueryEngineResultData<T> = {
-    data: T;
-};
-
-declare type QueryEvent = {
-    timestamp: Date;
-    query: string;
-    params: string;
-    duration: number;
-    target: string;
-};
-
-declare type QueryEventType = 'query';
-
-declare type QueryIntrospectionBuiltinType = 'int' | 'bigint' | 'float' | 'double' | 'string' | 'enum' | 'bytes' | 'bool' | 'char' | 'decimal' | 'json' | 'xml' | 'uuid' | 'datetime' | 'date' | 'time' | 'int-array' | 'bigint-array' | 'float-array' | 'double-array' | 'string-array' | 'char-array' | 'bytes-array' | 'bool-array' | 'decimal-array' | 'json-array' | 'xml-array' | 'uuid-array' | 'datetime-array' | 'date-array' | 'time-array' | 'null' | 'unknown';
-
-declare type QueryMiddlewareParams = {
-    /** The model this is executed on */
-    model?: string;
-    /** The action that is being handled */
-    action: Action;
-    /** TODO what is this */
-    dataPath: string[];
-    /** TODO what is this */
-    runInTransaction: boolean;
-    args?: UserArgs_2;
-};
-
-export declare type QueryOptions = {
-    query: {
-        [ModelName in string]: {
-            [ModelAction in string]: ModelQueryOptionsCb;
-        } | QueryOptionsCb;
-    };
-};
-
-export declare type QueryOptionsCb = (args: QueryOptionsCbArgs) => Promise<any>;
-
-export declare type QueryOptionsCbArgs = {
-    model?: string;
-    operation: string;
-    args: JsArgs | RawQueryArgs;
-    query: (args: JsArgs | RawQueryArgs) => Promise<unknown>;
-};
-
-declare type QueryOutput = ReadonlyDeep_2<{
-    name: string;
-    isRequired: boolean;
-    isList: boolean;
-}>;
-
-declare type QueryPlanBinding = {
-    name: string;
-    expr: QueryPlanNode;
-};
-
-declare type QueryPlanDbQuery = {
-    type: 'rawSql';
-    sql: string;
-    args: PrismaValue[];
-    argTypes: ArgType[];
-} | {
-    type: 'templateSql';
-    fragments: Fragment[];
-    placeholderFormat: PlaceholderFormat;
-    args: PrismaValue[];
-    argTypes: DynamicArgType[];
-    chunkable: boolean;
-};
-
-declare type QueryPlanNode = {
-    type: 'value';
-    args: PrismaValue;
-} | {
-    type: 'seq';
-    args: QueryPlanNode[];
-} | {
-    type: 'get';
-    args: {
-        name: string;
-    };
-} | {
-    type: 'let';
-    args: {
-        bindings: QueryPlanBinding[];
-        expr: QueryPlanNode;
-    };
-} | {
-    type: 'getFirstNonEmpty';
-    args: {
-        names: string[];
-    };
-} | {
-    type: 'query';
-    args: QueryPlanDbQuery;
-} | {
-    type: 'execute';
-    args: QueryPlanDbQuery;
-} | {
-    type: 'reverse';
-    args: QueryPlanNode;
-} | {
-    type: 'sum';
-    args: QueryPlanNode[];
-} | {
-    type: 'concat';
-    args: QueryPlanNode[];
-} | {
-    type: 'unique';
-    args: QueryPlanNode;
-} | {
-    type: 'required';
-    args: QueryPlanNode;
-} | {
-    type: 'join';
-    args: {
-        parent: QueryPlanNode;
-        children: JoinExpression[];
-    };
-} | {
-    type: 'mapField';
-    args: {
-        field: string;
-        records: QueryPlanNode;
-    };
-} | {
-    type: 'transaction';
-    args: QueryPlanNode;
-} | {
-    type: 'dataMap';
-    args: {
-        expr: QueryPlanNode;
-        structure: ResultNode;
-        enums: Record<string, Record<string, string>>;
-    };
-} | {
-    type: 'validate';
-    args: {
-        expr: QueryPlanNode;
-        rules: DataRule[];
-    } & ValidationError;
-} | {
-    type: 'if';
-    args: {
-        value: QueryPlanNode;
-        rule: DataRule;
-        then: QueryPlanNode;
-        else: QueryPlanNode;
-    };
-} | {
-    type: 'unit';
-} | {
-    type: 'diff';
-    args: {
-        from: QueryPlanNode;
-        to: QueryPlanNode;
-    };
-} | {
-    type: 'initializeRecord';
-    args: {
-        expr: QueryPlanNode;
-        fields: Record<string, FieldInitializer>;
-    };
-} | {
-    type: 'mapRecord';
-    args: {
-        expr: QueryPlanNode;
-        fields: Record<string, FieldOperation>;
-    };
-} | {
-    type: 'process';
-    args: {
-        expr: QueryPlanNode;
-        operations: InMemoryOps;
-    };
-};
-
-/**
- * Create raw SQL statement.
- */
-export declare function raw(value: string): Sql;
-
-export declare type RawParameters = {
-    __prismaRawParameters__: true;
-    values: string;
-};
-
-export declare type RawQueryArgs = Sql | UnknownTypedSql | [query: string, ...values: RawValue[]];
-
-declare type RawResponse = {
-    columns: string[];
-    types: QueryIntrospectionBuiltinType[];
-    rows: unknown[][];
-};
-
-declare type RawTaggedValue = {
-    $type: 'Raw';
-    value: unknown;
-};
-
-/**
- * Supported value or SQL instance.
- */
-export declare type RawValue = Value | Sql;
-
-export declare type ReadonlyDeep<T> = {
-    readonly [K in keyof T]: ReadonlyDeep<T[K]>;
-};
-
-declare type ReadonlyDeep_2<O> = {
-    +readonly [K in keyof O]: ReadonlyDeep_2<O[K]>;
-};
-
-declare type Record_2<T extends string | number | symbol, U> = {
-    [P in T]: U;
-};
-export { Record_2 as Record }
-
-export declare type RenameAndNestPayloadKeys<P> = {
-    [K in keyof P as K extends 'scalars' | 'objects' | 'composites' ? keyof P[K] : never]: P[K];
-};
-
-declare type RequestBatchOptions<InteractiveTransactionPayload> = {
-    transaction?: TransactionOptions_2<InteractiveTransactionPayload>;
-    traceparent?: string;
-    numTry?: number;
-    containsWrite: boolean;
-    customDataProxyFetch?: AccelerateExtensionFetchDecorator;
-};
-
-declare interface RequestError {
-    error: string;
-    user_facing_error: {
-        is_panic: boolean;
-        message: string;
-        meta?: Record<string, unknown>;
-        error_code?: string;
-        batch_request_idx?: number;
-    };
-}
-
-declare class RequestHandler {
-    client: Client;
-    dataloader: DataLoader<RequestParams>;
-    private logEmitter?;
-    constructor(client: Client, logEmitter?: LogEmitter);
-    request(params: RequestParams): Promise<any>;
-    mapQueryEngineResult({ dataPath, unpacker }: RequestParams, response: QueryEngineResultData<any>): any;
-    /**
-     * Handles the error and logs it, logging the error is done synchronously waiting for the event
-     * handlers to finish.
-     */
-    handleAndLogRequestError(params: HandleErrorParams): never;
-    handleRequestError({ error, clientMethod, callsite, transaction, args, modelName, globalOmit, }: HandleErrorParams): never;
-    sanitizeMessage(message: any): any;
-    unpack(data: unknown, dataPath: string[], unpacker?: Unpacker): any;
-    get [Symbol.toStringTag](): string;
-}
-
-declare type RequestOptions<InteractiveTransactionPayload> = {
-    traceparent?: string;
-    numTry?: number;
-    interactiveTransaction?: InteractiveTransactionOptions<InteractiveTransactionPayload>;
-    isWrite: boolean;
-    customDataProxyFetch?: AccelerateExtensionFetchDecorator;
-};
-
-declare type RequestParams = {
-    modelName?: string;
-    action: Action;
-    protocolQuery: JsonQuery;
-    dataPath: string[];
-    clientMethod: string;
-    callsite?: CallSite;
-    transaction?: PrismaPromiseTransaction;
-    extensions: MergedExtensionsList;
-    args?: any;
-    headers?: Record<string, string>;
-    unpacker?: Unpacker;
-    otelParentCtx?: Context;
-    otelChildCtx?: Context;
-    globalOmit?: GlobalOmitOptions;
-    customDataProxyFetch?: AccelerateExtensionFetchDecorator;
-};
-
-declare type RequiredExtensionArgs = NameArgs & ResultArgs & ModelArgs & ClientArgs & QueryOptions;
-export { RequiredExtensionArgs }
-export { RequiredExtensionArgs as UserArgs }
-
-export declare type RequiredKeys<O> = {
-    [K in keyof O]-?: {} extends Pick_2<O, K> ? never : K;
-}[keyof O];
-
-declare function resolveDatasourceUrl({ inlineDatasources, overrideDatasources, env, clientVersion, }: {
-    inlineDatasources: GetPrismaClientConfig['inlineDatasources'];
-    overrideDatasources: Datasources;
-    env: Record<string, string | undefined>;
-    clientVersion: string;
-}): string;
-
-export declare type Result<T, A, F extends Operation> = T extends {
-    [K: symbol]: {
-        types: {
-            payload: any;
-        };
-    };
-} ? GetResult<T[symbol]['types']['payload'], A, F> : GetResult<{
-    composites: {};
-    objects: {};
-    scalars: {};
-    name: '';
-}, {}, F>;
-
-export declare type Result_2<T, A, F extends Operation> = Result<T, A, F>;
-
-declare namespace Result_3 {
-    export {
-        Count,
-        GetFindResult,
-        SelectablePayloadFields,
-        SelectField,
-        DefaultSelection,
-        UnwrapPayload,
-        ApplyOmit,
-        OmitValue,
-        GetCountResult,
-        Aggregate,
-        GetAggregateResult,
-        GetBatchResult,
-        GetGroupByResult,
-        GetResult,
-        ExtractGlobalOmit
-    }
-}
-
-declare type Result_4<T> = {
-    map<U>(fn: (value: T) => U): Result_4<U>;
-    flatMap<U>(fn: (value: T) => Result_4<U>): Result_4<U>;
-} & ({
-    readonly ok: true;
-    readonly value: T;
-} | {
-    readonly ok: false;
-    readonly error: Error_2;
-});
-
-export declare type ResultArg = {
-    [FieldName in string]: ResultFieldDefinition;
-};
-
-export declare type ResultArgs = {
-    result: {
-        [ModelName in string]: ResultArg;
-    };
-};
-
-export declare type ResultArgsFieldCompute = (model: any) => unknown;
-
-export declare type ResultFieldDefinition = {
-    needs?: {
-        [FieldName in string]: boolean;
-    };
-    compute: ResultArgsFieldCompute;
-};
-
-declare type ResultNode = {
-    type: 'affectedRows';
-} | {
-    type: 'object';
-    fields: Record<string, ResultNode>;
-    serializedName: string | null;
-    skipNulls: boolean;
-} | {
-    type: 'field';
-    dbName: string;
-    fieldType: FieldType;
-};
-
-export declare type Return<T> = T extends (...args: any[]) => infer R ? R : T;
-
-export declare type RuntimeDataModel = {
-    readonly models: Record<string, RuntimeModel>;
-    readonly enums: Record<string, RuntimeEnum>;
-    readonly types: Record<string, RuntimeModel>;
-};
-
-declare type RuntimeEnum = Omit<DMMF_2.DatamodelEnum, 'name'>;
-
-declare type RuntimeModel = Omit<DMMF_2.Model, 'name'>;
-
-declare type RuntimeName = 'workerd' | 'deno' | 'netlify' | 'node' | 'bun' | 'edge-light' | '';
-
-declare type Schema = ReadonlyDeep_2<{
-    rootQueryType?: string;
-    rootMutationType?: string;
-    inputObjectTypes: {
-        model?: InputType[];
-        prisma?: InputType[];
-    };
-    outputObjectTypes: {
-        model: OutputType[];
-        prisma: OutputType[];
-    };
-    enumTypes: {
-        model?: SchemaEnum[];
-        prisma: SchemaEnum[];
-    };
-    fieldRefTypes: {
-        prisma?: FieldRefType[];
-    };
-}>;
-
-declare type SchemaArg = ReadonlyDeep_2<{
-    name: string;
-    comment?: string;
-    isNullable: boolean;
-    isRequired: boolean;
-    inputTypes: InputTypeRef[];
-    requiresOtherFields?: string[];
-    deprecation?: Deprecation;
-}>;
-
-declare type SchemaEnum = ReadonlyDeep_2<{
-    name: string;
-    values: string[];
-}>;
-
-declare type SchemaField = ReadonlyDeep_2<{
-    name: string;
-    isNullable?: boolean;
-    outputType: OutputTypeRef;
-    args: SchemaArg[];
-    deprecation?: Deprecation;
-    documentation?: string;
-}>;
-
-export declare type Select<T, U> = T extends U ? T : never;
-
-export declare type SelectablePayloadFields<K extends PropertyKey, O> = {
-    objects: {
-        [k in K]: O;
-    };
-} | {
-    composites: {
-        [k in K]: O;
-    };
-};
-
-export declare type SelectField<P extends SelectablePayloadFields<any, any>, K extends PropertyKey> = P extends {
-    objects: Record<K, any>;
-} ? P['objects'][K] : P extends {
-    composites: Record<K, any>;
-} ? P['composites'][K] : never;
-
-declare type Selection_2 = Record<string, boolean | Skip | JsArgs>;
-export { Selection_2 as Selection }
-
-export declare function serializeJsonQuery({ modelName, action, args, runtimeDataModel, extensions, callsite, clientMethod, errorFormat, clientVersion, previewFeatures, globalOmit, }: SerializeParams): JsonQuery;
-
-declare type SerializeParams = {
-    runtimeDataModel: RuntimeDataModel;
-    modelName?: string;
-    action: Action;
-    args?: JsArgs;
-    extensions?: MergedExtensionsList;
-    callsite?: CallSite;
-    clientMethod: string;
-    clientVersion: string;
-    errorFormat: ErrorFormat;
-    previewFeatures: string[];
-    globalOmit?: GlobalOmitOptions;
-};
-
-declare class Skip {
-    constructor(param?: symbol);
-    ifUndefined<T>(value: T | undefined): T | Skip;
-}
-
-export declare const skip: Skip;
-
-declare type SortOrder = 'asc' | 'desc';
-
-/**
- * An interface that represents a span. A span represents a single operation
- * within a trace. Examples of span might include remote procedure calls or a
- * in-process function calls to sub-components. A Trace has a single, top-level
- * "root" Span that in turn may have zero or more child Spans, which in turn
- * may have children.
- *
- * Spans are created by the {@link Tracer.startSpan} method.
- */
-declare interface Span {
-    /**
-     * Returns the {@link SpanContext} object associated with this Span.
-     *
-     * Get an immutable, serializable identifier for this span that can be used
-     * to create new child spans. Returned SpanContext is usable even after the
-     * span ends.
-     *
-     * @returns the SpanContext object associated with this Span.
-     */
-    spanContext(): SpanContext;
-    /**
-     * Sets an attribute to the span.
-     *
-     * Sets a single Attribute with the key and value passed as arguments.
-     *
-     * @param key the key for this attribute.
-     * @param value the value for this attribute. Setting a value null or
-     *              undefined is invalid and will result in undefined behavior.
-     */
-    setAttribute(key: string, value: SpanAttributeValue): this;
-    /**
-     * Sets attributes to the span.
-     *
-     * @param attributes the attributes that will be added.
-     *                   null or undefined attribute values
-     *                   are invalid and will result in undefined behavior.
-     */
-    setAttributes(attributes: SpanAttributes): this;
-    /**
-     * Adds an event to the Span.
-     *
-     * @param name the name of the event.
-     * @param [attributesOrStartTime] the attributes that will be added; these are
-     *     associated with this event. Can be also a start time
-     *     if type is {@type TimeInput} and 3rd param is undefined
-     * @param [startTime] start time of the event.
-     */
-    addEvent(name: string, attributesOrStartTime?: SpanAttributes | TimeInput, startTime?: TimeInput): this;
-    /**
-     * Adds a single link to the span.
-     *
-     * Links added after the creation will not affect the sampling decision.
-     * It is preferred span links be added at span creation.
-     *
-     * @param link the link to add.
-     */
-    addLink(link: Link): this;
-    /**
-     * Adds multiple links to the span.
-     *
-     * Links added after the creation will not affect the sampling decision.
-     * It is preferred span links be added at span creation.
-     *
-     * @param links the links to add.
-     */
-    addLinks(links: Link[]): this;
-    /**
-     * Sets a status to the span. If used, this will override the default Span
-     * status. Default is {@link SpanStatusCode.UNSET}. SetStatus overrides the value
-     * of previous calls to SetStatus on the Span.
-     *
-     * @param status the SpanStatus to set.
-     */
-    setStatus(status: SpanStatus): this;
-    /**
-     * Updates the Span name.
-     *
-     * This will override the name provided via {@link Tracer.startSpan}.
-     *
-     * Upon this update, any sampling behavior based on Span name will depend on
-     * the implementation.
-     *
-     * @param name the Span name.
-     */
-    updateName(name: string): this;
-    /**
-     * Marks the end of Span execution.
-     *
-     * Call to End of a Span MUST not have any effects on child spans. Those may
-     * still be running and can be ended later.
-     *
-     * Do not return `this`. The Span generally should not be used after it
-     * is ended so chaining is not desired in this context.
-     *
-     * @param [endTime] the time to set as Span's end time. If not provided,
-     *     use the current time as the span's end time.
-     */
-    end(endTime?: TimeInput): void;
-    /**
-     * Returns the flag whether this span will be recorded.
-     *
-     * @returns true if this Span is active and recording information like events
-     *     with the `AddEvent` operation and attributes using `setAttributes`.
-     */
-    isRecording(): boolean;
-    /**
-     * Sets exception as a span event
-     * @param exception the exception the only accepted values are string or Error
-     * @param [time] the time to set as Span's event time. If not provided,
-     *     use the current time.
-     */
-    recordException(exception: Exception, time?: TimeInput): void;
-}
-
-/**
- * @deprecated please use {@link Attributes}
- */
-declare type SpanAttributes = Attributes;
-
-/**
- * @deprecated please use {@link AttributeValue}
- */
-declare type SpanAttributeValue = AttributeValue;
-
-declare type SpanCallback<R> = (span?: Span, context?: Context) => R;
-
-/**
- * A SpanContext represents the portion of a {@link Span} which must be
- * serialized and propagated along side of a {@link Baggage}.
- */
-declare interface SpanContext {
-    /**
-     * The ID of the trace that this span belongs to. It is worldwide unique
-     * with practically sufficient probability by being made as 16 randomly
-     * generated bytes, encoded as a 32 lowercase hex characters corresponding to
-     * 128 bits.
-     */
-    traceId: string;
-    /**
-     * The ID of the Span. It is globally unique with practically sufficient
-     * probability by being made as 8 randomly generated bytes, encoded as a 16
-     * lowercase hex characters corresponding to 64 bits.
-     */
-    spanId: string;
-    /**
-     * Only true if the SpanContext was propagated from a remote parent.
-     */
-    isRemote?: boolean;
-    /**
-     * Trace flags to propagate.
-     *
-     * It is represented as 1 byte (bitmap). Bit to represent whether trace is
-     * sampled or not. When set, the least significant bit documents that the
-     * caller may have recorded trace data. A caller who does not record trace
-     * data out-of-band leaves this flag unset.
-     *
-     * see {@link TraceFlags} for valid flag values.
-     */
-    traceFlags: number;
-    /**
-     * Tracing-system-specific info to propagate.
-     *
-     * The tracestate field value is a `list` as defined below. The `list` is a
-     * series of `list-members` separated by commas `,`, and a list-member is a
-     * key/value pair separated by an equals sign `=`. Spaces and horizontal tabs
-     * surrounding `list-members` are ignored. There can be a maximum of 32
-     * `list-members` in a `list`.
-     * More Info: https://www.w3.org/TR/trace-context/#tracestate-field
-     *
-     * Examples:
-     *     Single tracing system (generic format):
-     *         tracestate: rojo=00f067aa0ba902b7
-     *     Multiple tracing systems (with different formatting):
-     *         tracestate: rojo=00f067aa0ba902b7,congo=t61rcWkgMzE
-     */
-    traceState?: TraceState;
-}
-
-declare enum SpanKind {
-    /** Default value. Indicates that the span is used internally. */
-    INTERNAL = 0,
-    /**
-     * Indicates that the span covers server-side handling of an RPC or other
-     * remote request.
-     */
-    SERVER = 1,
-    /**
-     * Indicates that the span covers the client-side wrapper around an RPC or
-     * other remote request.
-     */
-    CLIENT = 2,
-    /**
-     * Indicates that the span describes producer sending a message to a
-     * broker. Unlike client and server, there is no direct critical path latency
-     * relationship between producer and consumer spans.
-     */
-    PRODUCER = 3,
-    /**
-     * Indicates that the span describes consumer receiving a message from a
-     * broker. Unlike client and server, there is no direct critical path latency
-     * relationship between producer and consumer spans.
-     */
-    CONSUMER = 4
-}
-
-/**
- * Options needed for span creation
- */
-declare interface SpanOptions {
-    /**
-     * The SpanKind of a span
-     * @default {@link SpanKind.INTERNAL}
-     */
-    kind?: SpanKind;
-    /** A span's attributes */
-    attributes?: SpanAttributes;
-    /** {@link Link}s span to other spans */
-    links?: Link[];
-    /** A manually specified start time for the created `Span` object. */
-    startTime?: TimeInput;
-    /** The new span should be a root span. (Ignore parent from context). */
-    root?: boolean;
-}
-
-declare interface SpanStatus {
-    /** The status code of this message. */
-    code: SpanStatusCode;
-    /** A developer-facing error message. */
-    message?: string;
-}
-
-/**
- * An enumeration of status codes.
- */
-declare enum SpanStatusCode {
-    /**
-     * The default status.
-     */
-    UNSET = 0,
-    /**
-     * The operation has been validated by an Application developer or
-     * Operator to have completed successfully.
-     */
-    OK = 1,
-    /**
-     * The operation contains an error.
-     */
-    ERROR = 2
-}
-
-/**
- * A SQL instance can be nested within each other to build SQL strings.
- */
-export declare class Sql {
-    readonly values: Value[];
-    readonly strings: string[];
-    constructor(rawStrings: readonly string[], rawValues: readonly RawValue[]);
-    get sql(): string;
-    get statement(): string;
-    get text(): string;
-    inspect(): {
-        sql: string;
-        statement: string;
-        text: string;
-        values: unknown[];
-    };
-}
-
-declare interface SqlDriverAdapter extends SqlQueryable {
-    /**
-     * Execute multiple SQL statements separated by semicolon.
-     */
-    executeScript(script: string): Promise<void>;
-    /**
-     * Start new transaction.
-     */
-    startTransaction(isolationLevel?: IsolationLevel): Promise<Transaction>;
-    /**
-     * Optional method that returns extra connection info
-     */
-    getConnectionInfo?(): ConnectionInfo;
-    /**
-     * Dispose of the connection and release any resources.
-     */
-    dispose(): Promise<void>;
-}
-
-export declare interface SqlDriverAdapterFactory extends DriverAdapterFactory<SqlQuery, SqlResultSet> {
-    connect(): Promise<SqlDriverAdapter>;
-}
-
-declare type SqlQuery = {
-    sql: string;
-    args: Array<unknown>;
-    argTypes: Array<ArgType>;
-};
-
-declare interface SqlQueryable extends Queryable<SqlQuery, SqlResultSet> {
-}
-
-declare interface SqlResultSet {
-    /**
-     * List of column types appearing in a database query, in the same order as `columnNames`.
-     * They are used within the Query Engine to convert values from JS to Quaint values.
-     */
-    columnTypes: Array<ColumnType>;
-    /**
-     * List of column names appearing in a database query, in the same order as `columnTypes`.
-     */
-    columnNames: Array<string>;
-    /**
-     * List of rows retrieved from a database query.
-     * Each row is a list of values, whose length matches `columnNames` and `columnTypes`.
-     */
-    rows: Array<Array<unknown>>;
-    /**
-     * The last ID of an `INSERT` statement, if any.
-     * This is required for `AUTO_INCREMENT` columns in databases based on MySQL and SQLite.
-     */
-    lastInsertId?: string;
-}
-
-/**
- * Create a SQL object from a template string.
- */
-export declare function sqltag(strings: readonly string[], ...values: readonly RawValue[]): Sql;
-
-/**
- * Defines TimeInput.
- *
- * hrtime, epoch milliseconds, performance.now() or Date
- */
-declare type TimeInput = HrTime_2 | number | Date;
-
-export declare type ToTuple<T> = T extends any[] ? T : [T];
-
-declare interface TraceState {
-    /**
-     * Create a new TraceState which inherits from this TraceState and has the
-     * given key set.
-     * The new entry will always be added in the front of the list of states.
-     *
-     * @param key key of the TraceState entry.
-     * @param value value of the TraceState entry.
-     */
-    set(key: string, value: string): TraceState;
-    /**
-     * Return a new TraceState which inherits from this TraceState but does not
-     * contain the given key.
-     *
-     * @param key the key for the TraceState entry to be removed.
-     */
-    unset(key: string): TraceState;
-    /**
-     * Returns the value to which the specified key is mapped, or `undefined` if
-     * this map contains no mapping for the key.
-     *
-     * @param key with which the specified value is to be associated.
-     * @returns the value to which the specified key is mapped, or `undefined` if
-     *     this map contains no mapping for the key.
-     */
-    get(key: string): string | undefined;
-    /**
-     * Serializes the TraceState to a `list` as defined below. The `list` is a
-     * series of `list-members` separated by commas `,`, and a list-member is a
-     * key/value pair separated by an equals sign `=`. Spaces and horizontal tabs
-     * surrounding `list-members` are ignored. There can be a maximum of 32
-     * `list-members` in a `list`.
-     *
-     * @returns the serialized string.
-     */
-    serialize(): string;
-}
-
-declare interface TracingHelper {
-    isEnabled(): boolean;
-    getTraceParent(context?: Context): string;
-    dispatchEngineSpans(spans: EngineSpan[]): void;
-    getActiveContext(): Context | undefined;
-    runInChildSpan<R>(nameOrOptions: string | ExtendedSpanOptions, callback: SpanCallback<R>): R;
-}
-
-declare interface Transaction extends AdapterInfo, SqlQueryable {
-    /**
-     * Transaction options.
-     */
-    readonly options: TransactionOptions;
-    /**
-     * Commit the transaction.
-     */
-    commit(): Promise<void>;
-    /**
-     * Roll back the transaction.
-     */
-    rollback(): Promise<void>;
-}
-
-declare namespace Transaction_2 {
-    export {
-        Options,
-        IsolationLevel_2 as IsolationLevel,
-        InteractiveTransactionInfo,
-        TransactionHeaders
-    }
-}
-
-declare type TransactionHeaders = {
-    traceparent?: string;
-};
-
-declare type TransactionOptions = {
-    usePhantomQuery: boolean;
-};
-
-declare type TransactionOptions_2<InteractiveTransactionPayload> = {
-    kind: 'itx';
-    options: InteractiveTransactionOptions<InteractiveTransactionPayload>;
-} | {
-    kind: 'batch';
-    options: BatchTransactionOptions;
-};
-
-export declare class TypedSql<Values extends readonly unknown[], Result> {
-    [PrivateResultType]: Result;
-    constructor(sql: string, values: Values);
-    get sql(): string;
-    get values(): Values;
-}
-
-export declare type TypeMapCbDef = Fn<{
-    extArgs: InternalArgs;
-}, TypeMapDef>;
-
-/** Shared */
-export declare type TypeMapDef = Record<any, any>;
-
-declare type TypeRef<AllowedLocations extends FieldLocation> = {
-    isList: boolean;
-    type: string;
-    location: AllowedLocations;
-    namespace?: FieldNamespace;
-};
-
-declare namespace Types {
-    export {
-        Result_3 as Result,
-        Extensions_2 as Extensions,
-        Utils,
-        Public_2 as Public,
-        isSkip,
-        Skip,
-        skip,
-        UnknownTypedSql,
-        OperationPayload as Payload
-    }
-}
-export { Types }
-
-declare type uniqueIndex = ReadonlyDeep_2<{
-    name: string;
-    fields: string[];
-}>;
-
-declare type UnknownErrorParams = {
-    clientVersion: string;
-    batchRequestIdx?: number;
-};
-
-export declare type UnknownTypedSql = TypedSql<unknown[], unknown>;
-
-declare type Unpacker = (data: any) => any;
-
-export declare type UnwrapPayload<P> = {} extends P ? unknown : {
-    [K in keyof P]: P[K] extends {
-        scalars: infer S;
-        composites: infer C;
-    }[] ? Array<S & UnwrapPayload<C>> : P[K] extends {
-        scalars: infer S;
-        composites: infer C;
-    } | null ? S & UnwrapPayload<C> | Select<P[K], null> : never;
-};
-
-export declare type UnwrapPromise<P> = P extends Promise<infer R> ? R : P;
-
-export declare type UnwrapTuple<Tuple extends readonly unknown[]> = {
-    [K in keyof Tuple]: K extends `${number}` ? Tuple[K] extends PrismaPromise<infer X> ? X : UnwrapPromise<Tuple[K]> : UnwrapPromise<Tuple[K]>;
-};
-
-/**
- * Input that flows from the user into the Client.
- */
-declare type UserArgs_2 = any;
-
-declare namespace Utils {
-    export {
-        EmptyToUnknown,
-        NeverToUnknown,
-        PatchFlat,
-        Omit_2 as Omit,
-        Pick_2 as Pick,
-        ComputeDeep,
-        Compute,
-        OptionalFlat,
-        ReadonlyDeep,
-        Narrowable,
-        Narrow,
-        Exact,
-        Cast,
-        Record_2 as Record,
-        UnwrapPromise,
-        UnwrapTuple,
-        Path,
-        Fn,
-        Call,
-        RequiredKeys,
-        OptionalKeys,
-        Optional,
-        Return,
-        ToTuple,
-        RenameAndNestPayloadKeys,
-        PayloadToResult,
-        Select,
-        Equals,
-        Or,
-        JsPromise
-    }
-}
-
-declare type ValidationError = {
-    error_identifier: 'RELATION_VIOLATION';
-    context: {
-        relation: string;
-        modelA: string;
-        modelB: string;
-    };
-} | {
-    error_identifier: 'MISSING_RELATED_RECORD';
-    context: {
-        model: string;
-        relation: string;
-        relationType: string;
-        operation: string;
-        neededFor?: string;
-    };
-} | {
-    error_identifier: 'MISSING_RECORD';
-    context: {
-        operation: string;
-    };
-} | {
-    error_identifier: 'INCOMPLETE_CONNECT_INPUT';
-    context: {
-        expectedRows: number;
-    };
-} | {
-    error_identifier: 'INCOMPLETE_CONNECT_OUTPUT';
-    context: {
-        expectedRows: number;
-        relation: string;
-        relationType: string;
-    };
-} | {
-    error_identifier: 'RECORDS_NOT_CONNECTED';
-    context: {
-        relation: string;
-        parent: string;
-        child: string;
-    };
-};
-
-declare function validator<V>(): <S>(select: Exact<S, V>) => S;
-
-declare function validator<C, M extends Exclude<keyof C, `$${string}`>, O extends keyof C[M] & Operation>(client: C, model: M, operation: O): <S>(select: Exact<S, Args<C[M], O>>) => S;
-
-declare function validator<C, M extends Exclude<keyof C, `$${string}`>, O extends keyof C[M] & Operation, P extends keyof Args<C[M], O>>(client: C, model: M, operation: O, prop: P): <S>(select: Exact<S, Args<C[M], O>[P]>) => S;
-
-/**
- * Values supported by SQL engine.
- */
-export declare type Value = unknown;
-
-export declare function warnEnvConflicts(envPaths: any): void;
-
-export declare const warnOnce: (key: string, message: string, ...args: unknown[]) => void;
-
-export { }
diff --git a/server/src/generated/prisma/runtime/library.js b/server/src/generated/prisma/runtime/library.js
deleted file mode 100644
index 604712e..0000000
--- a/server/src/generated/prisma/runtime/library.js
+++ /dev/null
@@ -1,146 +0,0 @@
-
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-/* eslint-disable */
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-| Name            | Version            |
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-${u}
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-\`\`\`
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this.start(),`${this.protocol}//${this.host}/${this.remoteClientVersion}/${this.inlineSchemaHash}/${r}`}async uploadSchema(){let r={name:"schemaUpload",internal:!0};return this.tracingHelper.runInChildSpan(r,async()=>{let t=await dr(await this.url("schema"),{method:"PUT",headers:this.headerBuilder.build(),body:this.inlineSchema,clientVersion:this.clientVersion});t.ok||$t("schema response status",t.status);let n=await Ft(t,this.clientVersion);if(n)throw this.logEmitter.emit("warn",{message:`Error while uploading schema: ${n.message}`,timestamp:new Date,target:""}),n;this.logEmitter.emit("info",{message:`Schema (re)uploaded (hash: ${this.inlineSchemaHash})`,timestamp:new Date,target:""})})}request(r,{traceparent:t,interactiveTransaction:n,customDataProxyFetch:i}){return this.requestInternal({body:r,traceparent:t,interactiveTransaction:n,customDataProxyFetch:i})}async requestBatch(r,{traceparent:t,transaction:n,customDataProxyFetch:i}){let o=n?.kind==="itx"?n.options:void 0,s=Mr(r,n);return(await this.requestInternal({body:s,customDataProxyFetch:i,interactiveTransaction:o,traceparent:t})).map(l=>(l.extensions&&this.propagateResponseExtensions(l.extensions),"errors"in l?this.convertProtocolErrorsToClientError(l.errors):l))}requestInternal({body:r,traceparent:t,customDataProxyFetch:n,interactiveTransaction:i}){return this.withRetry({actionGerund:"querying",callback:async({logHttpCall:o})=>{let s=i?`${i.payload.endpoint}/graphql`:await this.url("graphql");o(s);let a=await dr(s,{method:"POST",headers:this.headerBuilder.build({traceparent:t,transactionId:i?.id}),body:JSON.stringify(r),clientVersion:this.clientVersion},n);a.ok||$t("graphql response status",a.status),await this.handleError(await Ft(a,this.clientVersion));let l=await a.json();if(l.extensions&&this.propagateResponseExtensions(l.extensions),"errors"in l)throw this.convertProtocolErrorsToClientError(l.errors);return"batchResult"in l?l.batchResult:l}})}async transaction(r,t,n){let i={start:"starting",commit:"committing",rollback:"rolling back"};return this.withRetry({actionGerund:`${i[r]} transaction`,callback:async({logHttpCall:o})=>{if(r==="start"){let s=JSON.stringify({max_wait:n.maxWait,timeout:n.timeout,isolation_level:n.isolationLevel}),a=await this.url("transaction/start");o(a);let l=await dr(a,{method:"POST",headers:this.headerBuilder.build({traceparent:t.traceparent}),body:s,clientVersion:this.clientVersion});await this.handleError(await Ft(l,this.clientVersion));let u=await l.json(),{extensions:c}=u;c&&this.propagateResponseExtensions(c);let p=u.id,d=u["data-proxy"].endpoint;return{id:p,payload:{endpoint:d}}}else{let s=`${n.payload.endpoint}/${r}`;o(s);let a=await dr(s,{method:"POST",headers:this.headerBuilder.build({traceparent:t.traceparent}),clientVersion:this.clientVersion});await this.handleError(await Ft(a,this.clientVersion));let l=await a.json(),{extensions:u}=l;u&&this.propagateResponseExtensions(u);return}}})}getURLAndAPIKey(){return vl({clientVersion:this.clientVersion,env:this.env,inlineDatasources:this.inlineDatasources,overrideDatasources:this.config.overrideDatasources})}metrics(){throw new cr("Metrics are not yet supported for Accelerate",{clientVersion:this.clientVersion})}async withRetry(r){for(let t=0;;t++){let n=i=>{this.logEmitter.emit("info",{message:`Calling ${i} (n=${t})`,timestamp:new Date,target:""})};try{return await r.callback({logHttpCall:n})}catch(i){if(!(i instanceof oe)||!i.isRetryable)throw i;if(t>=Dl)throw i instanceof Br?i.cause:i;this.logEmitter.emit("warn",{message:`Attempt ${t+1}/${Dl} failed for ${r.actionGerund}: ${i.message??"(unknown)"}`,timestamp:new Date,target:""});let o=await Tl(t);this.logEmitter.emit("warn",{message:`Retrying after ${o}ms`,timestamp:new Date,target:""})}}}async handleError(r){if(r instanceof pr)throw await this.uploadSchema(),new Br({clientVersion:this.clientVersion,cause:r});if(r)throw r}convertProtocolErrorsToClientError(r){return r.length===1?$r(r[0],this.config.clientVersion,this.config.activeProvider):new V(JSON.stringify(r),{clientVersion:this.config.clientVersion})}applyPendingMigrations(){throw new Error("Method not implemented.")}};function Ol(e){if(e?.kind==="itx")return e.options.id}var wo=O(require("node:os")),kl=O(require("node:path"));var Eo=Symbol("PrismaLibraryEngineCache");function ff(){let e=globalThis;return e[Eo]===void 0&&(e[Eo]={}),e[Eo]}function gf(e){let r=ff();if(r[e]!==void 0)return r[e];let t=kl.default.toNamespacedPath(e),n={exports:{}},i=0;return process.platform!=="win32"&&(i=wo.default.constants.dlopen.RTLD_LAZY|wo.default.constants.dlopen.RTLD_DEEPBIND),process.dlopen(n,t,i),r[e]=n.exports,n.exports}var _l={async loadLibrary(e){let r=await fi(),t=await ml("library",e);try{return e.tracingHelper.runInChildSpan({name:"loadLibrary",internal:!0},()=>gf(t))}catch(n){let i=Ai({e:n,platformInfo:r,id:t});throw new P(i,e.clientVersion)}}};var xo,Nl={async loadLibrary(e){let{clientVersion:r,adapter:t,engineWasm:n}=e;if(t===void 0)throw new P(`The \`adapter\` option for \`PrismaClient\` is required in this context (${Kn().prettyName})`,r);if(n===void 0)throw new P("WASM engine was unexpectedly `undefined`",r);xo===void 0&&(xo=(async()=>{let o=await n.getRuntime(),s=await n.getQueryEngineWasmModule();if(s==null)throw new P("The loaded wasm module was unexpectedly `undefined` or `null` once loaded",r);let a={"./query_engine_bg.js":o},l=new WebAssembly.Instance(s,a),u=l.exports.__wbindgen_start;return o.__wbg_set_wasm(l.exports),u(),o.QueryEngine})());let i=await xo;return{debugPanic(){return Promise.reject("{}")},dmmf(){return Promise.resolve("{}")},version(){return{commit:"unknown",version:"unknown"}},QueryEngine:i}}};var hf="P2036",Re=N("prisma:client:libraryEngine");function yf(e){return e.item_type==="query"&&"query"in e}function bf(e){return"level"in e?e.level==="error"&&e.message==="PANIC":!1}var Ll=[...li,"native"],Ef=0xffffffffffffffffn,vo=1n;function wf(){let e=vo++;return vo>Ef&&(vo=1n),e}var Qr=class{name="LibraryEngine";engine;libraryInstantiationPromise;libraryStartingPromise;libraryStoppingPromise;libraryStarted;executingQueryPromise;config;QueryEngineConstructor;libraryLoader;library;logEmitter;libQueryEnginePath;binaryTarget;datasourceOverrides;datamodel;logQueries;logLevel;lastQuery;loggerRustPanic;tracingHelper;adapterPromise;versionInfo;constructor(r,t){this.libraryLoader=t??_l,r.engineWasm!==void 0&&(this.libraryLoader=t??Nl),this.config=r,this.libraryStarted=!1,this.logQueries=r.logQueries??!1,this.logLevel=r.logLevel??"error",this.logEmitter=r.logEmitter,this.datamodel=r.inlineSchema,this.tracingHelper=r.tracingHelper,r.enableDebugLogs&&(this.logLevel="debug");let n=Object.keys(r.overrideDatasources)[0],i=r.overrideDatasources[n]?.url;n!==void 0&&i!==void 0&&(this.datasourceOverrides={[n]:i}),this.libraryInstantiationPromise=this.instantiateLibrary()}wrapEngine(r){return{applyPendingMigrations:r.applyPendingMigrations?.bind(r),commitTransaction:this.withRequestId(r.commitTransaction.bind(r)),connect:this.withRequestId(r.connect.bind(r)),disconnect:this.withRequestId(r.disconnect.bind(r)),metrics:r.metrics?.bind(r),query:this.withRequestId(r.query.bind(r)),rollbackTransaction:this.withRequestId(r.rollbackTransaction.bind(r)),sdlSchema:r.sdlSchema?.bind(r),startTransaction:this.withRequestId(r.startTransaction.bind(r)),trace:r.trace.bind(r),free:r.free?.bind(r)}}withRequestId(r){return async(...t)=>{let n=wf().toString();try{return await r(...t,n)}finally{if(this.tracingHelper.isEnabled()){let i=await this.engine?.trace(n);if(i){let o=JSON.parse(i);this.tracingHelper.dispatchEngineSpans(o.spans)}}}}}async applyPendingMigrations(){throw new Error("Cannot call this method from this type of engine instance")}async transaction(r,t,n){await this.start();let i=await this.adapterPromise,o=JSON.stringify(t),s;if(r==="start"){let l=JSON.stringify({max_wait:n.maxWait,timeout:n.timeout,isolation_level:n.isolationLevel});s=await this.engine?.startTransaction(l,o)}else r==="commit"?s=await this.engine?.commitTransaction(n.id,o):r==="rollback"&&(s=await this.engine?.rollbackTransaction(n.id,o));let a=this.parseEngineResponse(s);if(xf(a)){let l=this.getExternalAdapterError(a,i?.errorRegistry);throw l?l.error:new z(a.message,{code:a.error_code,clientVersion:this.config.clientVersion,meta:a.meta})}else if(typeof a.message=="string")throw new V(a.message,{clientVersion:this.config.clientVersion});return a}async instantiateLibrary(){if(Re("internalSetup"),this.libraryInstantiationPromise)return this.libraryInstantiationPromise;ai(),this.binaryTarget=await this.getCurrentBinaryTarget(),await this.tracingHelper.runInChildSpan("load_engine",()=>this.loadEngine()),this.version()}async getCurrentBinaryTarget(){{if(this.binaryTarget)return this.binaryTarget;let r=await this.tracingHelper.runInChildSpan("detect_platform",()=>ir());if(!Ll.includes(r))throw new P(`Unknown ${ce("PRISMA_QUERY_ENGINE_LIBRARY")} ${ce(W(r))}. Possible binaryTargets: ${qe(Ll.join(", "))} or a path to the query engine library.
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-   *  Copyright (c) 2025 Michael Mclaughlin <M8ch88l@gmail.com>
-   *  MIT Licence
-   *)
-*/
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diff --git a/server/src/generated/prisma/runtime/react-native.js b/server/src/generated/prisma/runtime/react-native.js
deleted file mode 100644
index 4a46a81..0000000
--- a/server/src/generated/prisma/runtime/react-native.js
+++ /dev/null
@@ -1,83 +0,0 @@
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-| Name            | Version            |
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-| OS              | ${t?.padEnd(19)}|
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-${i}
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-${n}`}m();c();p();d();f();function ca(e){return e.length===0?Promise.resolve([]):new Promise((t,r)=>{let n=new Array(e.length),i=null,o=!1,s=0,a=()=>{o||(s++,s===e.length&&(o=!0,i?r(i):t(n)))},l=u=>{o||(o=!0,r(u))};for(let u=0;u<e.length;u++)e[u].then(g=>{n[u]=g,a()},g=>{if(!Kr(g)){l(g);return}g.batchRequestIdx===u?l(g):(i||(i=g),a())})})}var $e=z("prisma:client");typeof globalThis=="object"&&(globalThis.NODE_CLIENT=!0);var rd={requestArgsToMiddlewareArgs:e=>e,middlewareArgsToRequestArgs:e=>e},nd=Symbol.for("prisma.client.transaction.id"),id={id:0,nextId(){return++this.id}};function fa(e){class t{_originalClient=this;_runtimeDataModel;_requestHandler;_connectionPromise;_disconnectionPromise;_engineConfig;_accelerateEngineConfig;_clientVersion;_errorFormat;_tracingHelper;_previewFeatures;_activeProvider;_globalOmit;_extensions;_engine;_appliedParent;_createPrismaPromise=Xn();constructor(n){e=n?.__internal?.configOverride?.(e)??e,Cs(e),n&&ua(n,e);let i=new jr().on("error",()=>{});this._extensions=wt.empty(),this._previewFeatures=js(e),this._clientVersion=e.clientVersion??na,this._activeProvider=e.activeProvider,this._globalOmit=n?.omit,this._tracingHelper=Ys();let o=e.relativeEnvPaths&&{rootEnvPath:e.relativeEnvPaths.rootEnvPath&&Re.resolve(e.dirname,e.relativeEnvPaths.rootEnvPath),schemaEnvPath:e.relativeEnvPaths.schemaEnvPath&&Re.resolve(e.dirname,e.relativeEnvPaths.schemaEnvPath)},s;if(n?.adapter){s=n.adapter;let l=e.activeProvider==="postgresql"||e.activeProvider==="cockroachdb"?"postgres":e.activeProvider;if(s.provider!==l)throw new Q(`The Driver Adapter \`${s.adapterName}\`, based on \`${s.provider}\`, is not compatible with the provider \`${l}\` specified in the Prisma schema.`,this._clientVersion);if(n.datasources||n.datasourceUrl!==void 0)throw new Q("Custom datasource configuration is not compatible with Prisma Driver Adapters. 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Use the mongodb provider.`,{clientVersion:this._clientVersion});return this._createPrismaPromise(i=>this._request({args:n,clientMethod:"$runCommandRaw",dataPath:[],action:"runCommandRaw",argsMapper:Us,callsite:Ue(this._errorFormat),transaction:i}))}async $queryRawInternal(n,i,o,s){let a=this._activeProvider;return this._request({action:"queryRaw",args:o,transaction:n,clientMethod:i,argsMapper:Zn({clientMethod:i,activeProvider:a}),callsite:Ue(this._errorFormat),dataPath:[],middlewareArgsMapper:s})}$queryRaw(n,...i){return this._createPrismaPromise(o=>{if(n.raw!==void 0||n.sql!==void 0)return this.$queryRawInternal(o,"$queryRaw",...pa(n,i));throw new te("`$queryRaw` is a tag function, please use it like the following:\n```\nconst result = await prisma.$queryRaw`SELECT * FROM User WHERE id = ${1} OR email = ${'user@email.com'};`\n```\n\nOr read our docs at https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#queryraw\n",{clientVersion:this._clientVersion})})}$queryRawTyped(n){return this._createPrismaPromise(i=>{if(!this._hasPreviewFlag("typedSql"))throw new te("`typedSql` preview feature must be enabled in order to access $queryRawTyped API",{clientVersion:this._clientVersion});return this.$queryRawInternal(i,"$queryRawTyped",n)})}$queryRawUnsafe(n,...i){return this._createPrismaPromise(o=>this.$queryRawInternal(o,"$queryRawUnsafe",[n,...i]))}_transactionWithArray({promises:n,options:i}){let o=id.nextId(),s=Zs(n.length),a=n.map((l,u)=>{if(l?.[Symbol.toStringTag]!=="PrismaPromise")throw new Error("All elements of the array need to be Prisma Client promises. 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We recommend you to refactor your queries with that limitation in mind, and use batch transactions with `prisma.$transactions([])` where applicable.")}:o=()=>this._transactionWithCallback({callback:n,options:i}):o=()=>this._transactionWithArray({promises:n,options:i});let s={name:"transaction",attributes:{method:"$transaction"}};return this._tracingHelper.runInChildSpan(s,o)}_request(n){n.otelParentCtx=this._tracingHelper.getActiveContext();let i=n.middlewareArgsMapper??rd,o={args:i.requestArgsToMiddlewareArgs(n.args),dataPath:n.dataPath,runInTransaction:!!n.transaction,action:n.action,model:n.model},s={operation:{name:"operation",attributes:{method:o.action,model:o.model,name:o.model?`${o.model}.${o.action}`:o.action}}},a=async l=>{let{runInTransaction:u,args:g,...h}=l,T={...n,...h};g&&(T.args=i.middlewareArgsToRequestArgs(g)),n.transaction!==void 0&&u===!1&&delete T.transaction;let k=await Es(this,T);return T.model?gs({result:k,modelName:T.model,args:T.args,extensions:this._extensions,runtimeDataModel:this._runtimeDataModel,globalOmit:this._globalOmit}):k};return this._tracingHelper.runInChildSpan(s.operation,()=>a(o))}async _executeRequest({args:n,clientMethod:i,dataPath:o,callsite:s,action:a,model:l,argsMapper:u,transaction:g,unpacker:h,otelParentCtx:T,customDataProxyFetch:k}){try{n=u?u(n):n;let C={name:"serialize"},S=this._tracingHelper.runInChildSpan(C,()=>Nr({modelName:l,runtimeDataModel:this._runtimeDataModel,action:a,args:n,clientMethod:i,callsite:s,extensions:this._extensions,errorFormat:this._errorFormat,clientVersion:this._clientVersion,previewFeatures:this._previewFeatures,globalOmit:this._globalOmit}));return z.enabled("prisma:client")&&($e("Prisma Client call:"),$e(`prisma.${i}(${es(n)})`),$e("Generated request:"),$e(JSON.stringify(S,null,2)+`
-`)),g?.kind==="batch"&&await g.lock,this._requestHandler.request({protocolQuery:S,modelName:l,action:a,clientMethod:i,dataPath:o,callsite:s,args:n,extensions:this._extensions,transaction:g,unpacker:h,otelParentCtx:T,otelChildCtx:this._tracingHelper.getActiveContext(),globalOmit:this._globalOmit,customDataProxyFetch:k})}catch(C){throw C.clientVersion=this._clientVersion,C}}$metrics=new bt(this);_hasPreviewFlag(n){return!!this._engineConfig.previewFeatures?.includes(n)}$applyPendingMigrations(){return this._engine.applyPendingMigrations()}$extends=ds}return t}function pa(e,t){return od(e)?[new le(e,t),Ks]:[e,zs]}function od(e){return Array.isArray(e)&&Array.isArray(e.raw)}m();c();p();d();f();var sd=new Set(["toJSON","$$typeof","asymmetricMatch",Symbol.iterator,Symbol.toStringTag,Symbol.isConcatSpreadable,Symbol.toPrimitive]);function ma(e){return new Proxy(e,{get(t,r){if(r in t)return t[r];if(!sd.has(r))throw new TypeError(`Invalid enum value: ${String(r)}`)}})}m();c();p();d();f();0&&(module.exports={DMMF,Debug,Decimal,Extensions,MetricsClient,PrismaClientInitializationError,PrismaClientKnownRequestError,PrismaClientRustPanicError,PrismaClientUnknownRequestError,PrismaClientValidationError,Public,Sql,createParam,defineDmmfProperty,deserializeJsonResponse,deserializeRawResult,dmmfToRuntimeDataModel,empty,getPrismaClient,getRuntime,join,makeStrictEnum,makeTypedQueryFactory,objectEnumValues,raw,serializeJsonQuery,skip,sqltag,warnEnvConflicts,warnOnce});
-//# sourceMappingURL=react-native.js.map
diff --git a/server/src/generated/prisma/runtime/wasm-compiler-edge.js b/server/src/generated/prisma/runtime/wasm-compiler-edge.js
deleted file mode 100644
index 5746cdf..0000000
--- a/server/src/generated/prisma/runtime/wasm-compiler-edge.js
+++ /dev/null
@@ -1,84 +0,0 @@
-
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-| Name            | Version            |
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-| OS              | ${t?.padEnd(19)}|
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X(s,{clientVersion:this.#t,code:n??"P6000",batchRequestIdx:r,meta:a})}#o(t){if(t.logs)for(let r of t.logs)this.#c(r);t.traces&&this.#s.dispatchEngineSpans(t.traces)}#c(t){switch(t.level){case"debug":case"trace":fc(t);break;case"error":case"warn":case"info":{this.#n.emit(t.level,{timestamp:Bt(t.timestamp),message:t.attributes.message??"",target:t.target??"RemoteExecutor"});break}case"query":{this.#n.emit("query",{query:t.attributes.query??"",timestamp:Bt(t.timestamp),duration:t.attributes.duration_ms??0,params:t.attributes.params??"",target:t.target??"RemoteExecutor"});break}default:throw new Error(`Unexpected log level: ${t.level}`)}}},Ao=class{#t;#e;#r;constructor(t){this.#t=t,this.#e=new Map}async request({method:t,path:r,headers:n,body:i,fetch:o}){let s=new URL(r,this.#t),a=this.#n(s);a&&(n.Cookie=a),this.#r&&(n["Accelerate-Query-Engine-Jwt"]=this.#r);let f=await o(s.href,{method:t,body:i!==void 0?JSON.stringify(i):void 0,headers:n});return fc(t,s,f.status,f.statusText),this.#r=f.headers.get("Accelerate-Query-Engine-Jwt")??void 0,this.#s(s,f),f}#n(t){let r=[],n=new Date;for(let[i,o]of this.#e){if(o.expires&&o.expires<n){this.#e.delete(i);continue}let s=o.domain??t.hostname,a=o.path??"/";t.hostname.endsWith(s)&&t.pathname.startsWith(a)&&r.push(pc(o.name,o.value))}return r.length>0?r.join("; "):void 0}#s(t,r){let n=r.headers.getSetCookie?.()||[];if(n.length===0){let i=r.headers.get("Set-Cookie");i&&n.push(i)}for(let i of n){let o=mc(i),s=o.domain??t.hostname,a=o.path??"/",f=`${s}:${a}:${o.name}`;this.#e.set(f,{name:o.name,value:o.value,domain:s,path:a,expires:o.expires})}}};c();u();p();m();d();l();var Ro,gc={async loadQueryCompiler(e){let{clientVersion:t,compilerWasm:r}=e;if(r===void 0)throw new F("WASM query compiler was unexpectedly `undefined`",t);return Ro===void 0&&(Ro=(async()=>{let n=await r.getRuntime(),i=await r.getQueryCompilerWasmModule();if(i==null)throw new F("The loaded wasm module was unexpectedly `undefined` 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Engine type `client` requires an active driver adapter. Please check your PrismaClient initialization code.",t.clientVersion,pf);this.#r=n??gc,this.config=t,this.logQueries=t.logQueries??!1,this.logLevel=t.logLevel??"error",this.logEmitter=t.logEmitter,this.datamodel=t.inlineSchema,this.tracingHelper=t.tracingHelper,t.enableDebugLogs&&(this.logLevel="debug"),this.logQueries&&(this.#s=i=>{this.logEmitter.emit("query",{...i,params:wr(i.params),target:"ClientEngine"})})}applyPendingMigrations(){throw new Error("Cannot call applyPendingMigrations on engine type client.")}async#i(){switch(this.#e.type){case"disconnected":{let t=this.tracingHelper.runInChildSpan("connect",async()=>{let r,n;try{r=await this.#a(),n=await this.#o(r)}catch(o){throw this.#e={type:"disconnected"},n?.free(),await r?.disconnect(),o}let i={executor:r,queryCompiler:n};return this.#e={type:"connected",engine:i},i});return this.#e={type:"connecting",promise:t},await t}case"connecting":return await this.#e.promise;case"connected":return this.#e.engine;case"disconnecting":return await this.#e.promise,await this.#i()}}async#a(){return this.#n.remote?new ni({clientVersion:this.config.clientVersion,env:this.config.env,inlineDatasources:this.config.inlineDatasources,logEmitter:this.logEmitter,logLevel:this.logLevel,logQueries:this.logQueries,overrideDatasources:this.config.overrideDatasources,tracingHelper:this.tracingHelper}):await Zn.connect({driverAdapterFactory:this.#n.driverAdapterFactory,tracingHelper:this.tracingHelper,transactionOptions:{...this.config.transactionOptions,isolationLevel:this.#m(this.config.transactionOptions.isolationLevel)},onQuery:this.#s,provider:this.config.activeProvider})}async#o(t){let r=this.#t;r===void 0&&(r=await this.#r.loadQueryCompiler(this.config),this.#t=r);let{provider:n,connectionInfo:i}=await t.getConnectionInfo();try{return this.#u(()=>new r({datamodel:this.datamodel,provider:n,connectionInfo:i}),void 0,!1)}catch(o){throw this.#c(o)}}#c(t){if(t instanceof ae)return t;try{let r=JSON.parse(t.message);return new F(r.message,this.config.clientVersion,r.error_code)}catch{return t}}#l(t,r){if(t instanceof F)return t;if(t.code==="GenericFailure"&&t.message?.startsWith("PANIC:"))return new ae(yc(this,t.message,r),this.config.clientVersion);if(t instanceof ce)return new X(t.message,{code:t.code,meta:t.meta,clientVersion:this.config.clientVersion});try{let n=JSON.parse(t);return new ne(`${n.message}
-${n.backtrace}`,{clientVersion:this.config.clientVersion})}catch{return t}}#p(t){return t instanceof ae?t:typeof t.message=="string"&&typeof t.code=="string"?new X(t.message,{code:t.code,meta:t.meta,clientVersion:this.config.clientVersion}):typeof t.message=="string"?new ne(t.message,{clientVersion:this.config.clientVersion}):t}#u(t,r,n=!0){let i=hc.PRISMA_WASM_PANIC_REGISTRY.set_message,o;globalThis.PRISMA_WASM_PANIC_REGISTRY.set_message=s=>{o=s};try{return t()}finally{if(globalThis.PRISMA_WASM_PANIC_REGISTRY.set_message=i,o)throw this.#t=void 0,n&&this.stop().catch(s=>Or("failed to disconnect:",s)),new ae(yc(this,o,r),this.config.clientVersion)}}onBeforeExit(){throw new Error('"beforeExit" hook is not applicable to the client engine, it is only relevant and implemented for the binary engine. Please add your event listener to the `process` object directly instead.')}async start(){await this.#i()}async stop(){switch(this.#e.type){case"disconnected":return;case"connecting":return await this.#e.promise,await this.stop();case"connected":{let t=this.#e.engine,r=this.tracingHelper.runInChildSpan("disconnect",async()=>{try{await t.executor.disconnect(),t.queryCompiler.free()}finally{this.#e={type:"disconnected"}}});return this.#e={type:"disconnecting",promise:r},await r}case"disconnecting":return await this.#e.promise}}version(){return"unknown"}async transaction(t,r,n){let i,{executor:o}=await this.#i();try{if(t==="start"){let s=n;i=await o.startTransaction({...s,isolationLevel:this.#m(s.isolationLevel)})}else if(t==="commit"){let s=n;await o.commitTransaction(s)}else if(t==="rollback"){let s=n;await o.rollbackTransaction(s)}else Me(t,"Invalid transaction action.")}catch(s){throw this.#l(s)}return i?{id:i.id,payload:void 0}:void 0}async request(t,{interactiveTransaction:r,customDataProxyFetch:n}){Or("sending request");let i=JSON.stringify(t),{executor:o,queryCompiler:s}=await this.#i().catch(f=>{throw this.#l(f,i)}),a;try{a=this.#u(()=>this.#d({queries:[t],execute:()=>s.compile(i)}))}catch(f){throw this.#p(f)}try{Or("query plan created",a);let f={},E=await o.execute({plan:a,model:t.modelName,operation:t.action,placeholderValues:f,transaction:r,batchIndex:void 0,customFetch:n?.(globalThis.fetch)});return Or("query plan executed"),{data:{[t.action]:E}}}catch(f){throw this.#l(f,i)}}async requestBatch(t,{transaction:r,customDataProxyFetch:n}){if(t.length===0)return[];let i=t[0].action,o=JSON.stringify(kt(t,r)),{executor:s,queryCompiler:a}=await this.#i().catch(E=>{throw this.#l(E,o)}),f;try{f=this.#u(()=>this.#d({queries:t,execute:()=>a.compileBatch(o)}))}catch(E){throw this.#p(E)}try{let E;r?.kind==="itx"&&(E=r.options);let A={};switch(f.type){case"multi":{if(r?.kind!=="itx"){let C=r?.options.isolationLevel?{...this.config.transactionOptions,isolationLevel:r.options.isolationLevel}:this.config.transactionOptions;E=await this.transaction("start",{},C)}let R=[],S=!1;for(let[C,L]of f.plans.entries())try{let k=await s.execute({plan:L,placeholderValues:A,model:t[C].modelName,operation:t[C].action,batchIndex:C,transaction:E,customFetch:n?.(globalThis.fetch)});R.push({data:{[t[C].action]:k}})}catch(k){R.push(k),S=!0;break}return E!==void 0&&r?.kind!=="itx"&&(S?await this.transaction("rollback",{},E):await this.transaction("commit",{},E)),R}case"compacted":{if(!t.every(C=>C.action===i))throw new Error("All queries in a batch must have the same action");let R=await s.execute({plan:f.plan,placeholderValues:A,model:t[0].modelName,operation:i,batchIndex:void 0,transaction:E,customFetch:n?.(globalThis.fetch)});return Za(R,f).map(C=>({data:{[i]:C}}))}}}catch(E){throw this.#l(E,o)}}metrics(t){throw new Error("Method not implemented.")}async apiKey(){let{executor:t}=await this.#i();return t.apiKey()}#m(t){switch(t){case void 0:return;case"ReadUncommitted":return"READ UNCOMMITTED";case"ReadCommitted":return"READ COMMITTED";case"RepeatableRead":return"REPEATABLE READ";case"Serializable":return"SERIALIZABLE";case"Snapshot":return"SNAPSHOT";default:throw new X(`Inconsistent column data: Conversion failed: Invalid isolation level \`${t}\``,{code:"P2023",clientVersion:this.config.clientVersion,meta:{providedIsolationLevel:t}})}}#d({queries:t,execute:r}){return this.tracingHelper.runInChildSpan({name:"compile",attributes:{models:t.map(n=>n.modelName).filter(n=>n!==void 0),actions:t.map(n=>n.action)}},r)}};function yc(e,t,r){return Ha({binaryTarget:void 0,title:t,version:e.config.clientVersion,engineVersion:"unknown",database:e.config.activeProvider,query:r})}c();u();p();m();d();l();c();u();p();m();d();l();var jt=class extends ge{name="ForcedRetryError";code="P5001";constructor(t){super("This request must be retried",N(t,!0))}};D(jt,"ForcedRetryError");c();u();p();m();d();l();var at=class extends ge{name="NotImplementedYetError";code="P5004";constructor(t,r){super(t,N(r,!1))}};D(at,"NotImplementedYetError");c();u();p();m();d();l();c();u();p();m();d();l();var Q=class extends ge{response;constructor(t,r){super(t,r),this.response=r.response;let n=this.response.headers.get("prisma-request-id");if(n){let i=`(The request id was: ${n})`;this.message=this.message+" "+i}}};var lt=class extends Q{name="SchemaMissingError";code="P5005";constructor(t){super("Schema needs to be uploaded",N(t,!0))}};D(lt,"SchemaMissingError");c();u();p();m();d();l();c();u();p();m();d();l();var Co="This request could not be understood by the server",_r=class extends Q{name="BadRequestError";code="P5000";constructor(t,r,n){super(r||Co,N(t,!1)),n&&(this.code=n)}};D(_r,"BadRequestError");c();u();p();m();d();l();var Mr=class extends Q{name="HealthcheckTimeoutError";code="P5013";logs;constructor(t,r){super("Engine not started: healthcheck timeout",N(t,!0)),this.logs=r}};D(Mr,"HealthcheckTimeoutError");c();u();p();m();d();l();var Nr=class extends Q{name="EngineStartupError";code="P5014";logs;constructor(t,r,n){super(r,N(t,!0)),this.logs=n}};D(Nr,"EngineStartupError");c();u();p();m();d();l();var Lr=class extends Q{name="EngineVersionNotSupportedError";code="P5012";constructor(t){super("Engine version is not supported",N(t,!1))}};D(Lr,"EngineVersionNotSupportedError");c();u();p();m();d();l();var So="Request timed out",Ur=class extends Q{name="GatewayTimeoutError";code="P5009";constructor(t,r=So){super(r,N(t,!1))}};D(Ur,"GatewayTimeoutError");c();u();p();m();d();l();var mf="Interactive transaction error",Fr=class extends Q{name="InteractiveTransactionError";code="P5015";constructor(t,r=mf){super(r,N(t,!1))}};D(Fr,"InteractiveTransactionError");c();u();p();m();d();l();var df="Request parameters are invalid",$r=class extends Q{name="InvalidRequestError";code="P5011";constructor(t,r=df){super(r,N(t,!1))}};D($r,"InvalidRequestError");c();u();p();m();d();l();var Io="Requested resource does not exist",Vr=class extends Q{name="NotFoundError";code="P5003";constructor(t,r=Io){super(r,N(t,!1))}};D(Vr,"NotFoundError");c();u();p();m();d();l();var ko="Unknown server error",Qt=class extends Q{name="ServerError";code="P5006";logs;constructor(t,r,n){super(r||ko,N(t,!0)),this.logs=n}};D(Qt,"ServerError");c();u();p();m();d();l();var Oo="Unauthorized, check your connection string",qr=class extends Q{name="UnauthorizedError";code="P5007";constructor(t,r=Oo){super(r,N(t,!1))}};D(qr,"UnauthorizedError");c();u();p();m();d();l();var Do="Usage exceeded, retry again later",Br=class extends Q{name="UsageExceededError";code="P5008";constructor(t,r=Do){super(r,N(t,!0))}};D(Br,"UsageExceededError");async function ff(e){let t;try{t=await e.text()}catch{return{type:"EmptyError"}}try{let r=JSON.parse(t);if(typeof r=="string")switch(r){case"InternalDataProxyError":return{type:"DataProxyError",body:r};default:return{type:"UnknownTextError",body:r}}if(typeof r=="object"&&r!==null){if("is_panic"in r&&"message"in r&&"error_code"in r)return{type:"QueryEngineError",body:r};if("EngineNotStarted"in r||"InteractiveTransactionMisrouted"in r||"InvalidRequestError"in r){let n=Object.values(r)[0].reason;return typeof n=="string"&&!["SchemaMissing","EngineVersionNotSupported"].includes(n)?{type:"UnknownJsonError",body:r}:{type:"DataProxyError",body:r}}}return{type:"UnknownJsonError",body:r}}catch{return t===""?{type:"EmptyError"}:{type:"UnknownTextError",body:t}}}async function jr(e,t){if(e.ok)return;let r={clientVersion:t,response:e},n=await ff(e);if(n.type==="QueryEngineError")throw new X(n.body.message,{code:n.body.error_code,clientVersion:t});if(n.type==="DataProxyError"){if(n.body==="InternalDataProxyError")throw new Qt(r,"Internal Data Proxy error");if("EngineNotStarted"in n.body){if(n.body.EngineNotStarted.reason==="SchemaMissing")return new lt(r);if(n.body.EngineNotStarted.reason==="EngineVersionNotSupported")throw new Lr(r);if("EngineStartupError"in n.body.EngineNotStarted.reason){let{msg:i,logs:o}=n.body.EngineNotStarted.reason.EngineStartupError;throw new Nr(r,i,o)}if("KnownEngineStartupError"in n.body.EngineNotStarted.reason){let{msg:i,error_code:o}=n.body.EngineNotStarted.reason.KnownEngineStartupError;throw new F(i,t,o)}if("HealthcheckTimeout"in n.body.EngineNotStarted.reason){let{logs:i}=n.body.EngineNotStarted.reason.HealthcheckTimeout;throw new Mr(r,i)}}if("InteractiveTransactionMisrouted"in n.body){let i={IDParseError:"Could not parse interactive transaction ID",NoQueryEngineFoundError:"Could not find Query Engine for the specified host and transaction ID",TransactionStartError:"Could not start interactive transaction"};throw new Fr(r,i[n.body.InteractiveTransactionMisrouted.reason])}if("InvalidRequestError"in n.body)throw new $r(r,n.body.InvalidRequestError.reason)}if(e.status===401||e.status===403)throw new qr(r,Ht(Oo,n));if(e.status===404)return new Vr(r,Ht(Io,n));if(e.status===429)throw new Br(r,Ht(Do,n));if(e.status===504)throw new Ur(r,Ht(So,n));if(e.status>=500)throw new Qt(r,Ht(ko,n));if(e.status>=400)throw new _r(r,Ht(Co,n))}function Ht(e,t){return t.type==="EmptyError"?e:`${e}: ${JSON.stringify(t)}`}c();u();p();m();d();l();function wc(e){let t=Math.pow(2,e)*50,r=Math.ceil(Math.random()*t)-Math.ceil(t/2),n=t+r;return new Promise(i=>setTimeout(()=>i(n),n))}c();u();p();m();d();l();var Fe="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";function bc(e){let t=new TextEncoder().encode(e),r="",n=t.byteLength,i=n%3,o=n-i,s,a,f,E,A;for(let R=0;R<o;R=R+3)A=t[R]<<16|t[R+1]<<8|t[R+2],s=(A&16515072)>>18,a=(A&258048)>>12,f=(A&4032)>>6,E=A&63,r+=Fe[s]+Fe[a]+Fe[f]+Fe[E];return i==1?(A=t[o],s=(A&252)>>2,a=(A&3)<<4,r+=Fe[s]+Fe[a]+"=="):i==2&&(A=t[o]<<8|t[o+1],s=(A&64512)>>10,a=(A&1008)>>4,f=(A&15)<<2,r+=Fe[s]+Fe[a]+Fe[f]+"="),r}c();u();p();m();d();l();function Ec(e){if(!!e.generator?.previewFeatures.some(r=>r.toLowerCase().includes("metrics")))throw new F("The `metrics` preview feature is not yet available with Accelerate.\nPlease remove `metrics` from the `previewFeatures` in your schema.\n\nMore information about Accelerate: https://pris.ly/d/accelerate",e.clientVersion)}c();u();p();m();d();l();var xc={"@prisma/debug":"workspace:*","@prisma/engines-version":"6.16.1-1.bb420e667c1820a8c05a38023385f6cc7ef8e83a","@prisma/fetch-engine":"workspace:*","@prisma/get-platform":"workspace:*"};c();u();p();m();d();l();c();u();p();m();d();l();var Qr=class extends ge{name="RequestError";code="P5010";constructor(t,r){super(`Cannot fetch data from service:
-${t}`,N(r,!0))}};D(Qr,"RequestError");async function ct(e,t,r=n=>n){let{clientVersion:n,...i}=t,o=r(fetch);try{return await o(e,i)}catch(s){let a=s.message??"Unknown error";throw new Qr(a,{clientVersion:n,cause:s})}}var yf=/^[1-9][0-9]*\.[0-9]+\.[0-9]+$/,Pc=K("prisma:client:dataproxyEngine");async function hf(e,t){let r=xc["@prisma/engines-version"],n=t.clientVersion??"unknown";if(g.env.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION||globalThis.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION)return g.env.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION||globalThis.PRISMA_CLIENT_DATA_PROXY_CLIENT_VERSION;if(e.includes("accelerate")&&n!=="0.0.0"&&n!=="in-memory")return n;let[i,o]=n?.split("-")??[];if(o===void 0&&yf.test(i))return i;if(o!==void 0||n==="0.0.0"||n==="in-memory"){let[s]=r.split("-")??[],[a,f,E]=s.split("."),A=wf(`<=${a}.${f}.${E}`),R=await ct(A,{clientVersion:n});if(!R.ok)throw new Error(`Failed to fetch stable Prisma version, unpkg.com status ${R.status} ${R.statusText}, response body: ${await R.text()||"<empty body>"}`);let S=await R.text();Pc("length of body fetched from unpkg.com",S.length);let C;try{C=JSON.parse(S)}catch(L){throw console.error("JSON.parse error: body fetched from unpkg.com: ",S),L}return C.version}throw new at("Only `major.minor.patch` versions are supported by Accelerate.",{clientVersion:n})}async function Tc(e,t){let r=await hf(e,t);return Pc("version",r),r}function wf(e){return encodeURI(`https://unpkg.com/prisma@${e}/package.json`)}var vc=3,Hr=K("prisma:client:dataproxyEngine"),Gr=class{name="DataProxyEngine";inlineSchema;inlineSchemaHash;inlineDatasources;config;logEmitter;env;clientVersion;engineHash;tracingHelper;remoteClientVersion;host;headerBuilder;startPromise;protocol;constructor(t){Ec(t),this.config=t,this.env=t.env,this.inlineSchema=bc(t.inlineSchema),this.inlineDatasources=t.inlineDatasources,this.inlineSchemaHash=t.inlineSchemaHash,this.clientVersion=t.clientVersion,this.engineHash=t.engineVersion,this.logEmitter=t.logEmitter,this.tracingHelper=t.tracingHelper}apiKey(){return this.headerBuilder.apiKey}version(){return this.engineHash}async start(){this.startPromise!==void 0&&await this.startPromise,this.startPromise=(async()=>{let{apiKey:t,url:r}=this.getURLAndAPIKey();this.host=r.host,this.protocol=r.protocol,this.headerBuilder=new qt({apiKey:t,tracingHelper:this.tracingHelper,logLevel:this.config.logLevel??"error",logQueries:this.config.logQueries,engineHash:this.engineHash}),this.remoteClientVersion=await Tc(this.host,this.config),Hr("host",this.host),Hr("protocol",this.protocol)})(),await this.startPromise}async stop(){}propagateResponseExtensions(t){t?.logs?.length&&t.logs.forEach(r=>{switch(r.level){case"debug":case"trace":Hr(r);break;case"error":case"warn":case"info":{this.logEmitter.emit(r.level,{timestamp:Bt(r.timestamp),message:r.attributes.message??"",target:r.target??"BinaryEngine"});break}case"query":{this.logEmitter.emit("query",{query:r.attributes.query??"",timestamp:Bt(r.timestamp),duration:r.attributes.duration_ms??0,params:r.attributes.params??"",target:r.target??"BinaryEngine"});break}default:r.level}}),t?.traces?.length&&this.tracingHelper.dispatchEngineSpans(t.traces)}onBeforeExit(){throw new Error('"beforeExit" hook is not applicable to the remote query engine')}async url(t){return await this.start(),`${this.protocol}//${this.host}/${this.remoteClientVersion}/${this.inlineSchemaHash}/${t}`}async uploadSchema(){let t={name:"schemaUpload",internal:!0};return this.tracingHelper.runInChildSpan(t,async()=>{let r=await ct(await this.url("schema"),{method:"PUT",headers:this.headerBuilder.build(),body:this.inlineSchema,clientVersion:this.clientVersion});r.ok||Hr("schema response status",r.status);let n=await jr(r,this.clientVersion);if(n)throw this.logEmitter.emit("warn",{message:`Error while uploading schema: ${n.message}`,timestamp:new Date,target:""}),n;this.logEmitter.emit("info",{message:`Schema (re)uploaded (hash: ${this.inlineSchemaHash})`,timestamp:new Date,target:""})})}request(t,{traceparent:r,interactiveTransaction:n,customDataProxyFetch:i}){return this.requestInternal({body:t,traceparent:r,interactiveTransaction:n,customDataProxyFetch:i})}async requestBatch(t,{traceparent:r,transaction:n,customDataProxyFetch:i}){let o=n?.kind==="itx"?n.options:void 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i={start:"starting",commit:"committing",rollback:"rolling back"};return this.withRetry({actionGerund:`${i[t]} transaction`,callback:async({logHttpCall:o})=>{if(t==="start"){let s=JSON.stringify({max_wait:n.maxWait,timeout:n.timeout,isolation_level:n.isolationLevel}),a=await this.url("transaction/start");o(a);let f=await ct(a,{method:"POST",headers:this.headerBuilder.build({traceparent:r.traceparent}),body:s,clientVersion:this.clientVersion});await this.handleError(await jr(f,this.clientVersion));let E=await f.json(),{extensions:A}=E;A&&this.propagateResponseExtensions(A);let R=E.id,S=E["data-proxy"].endpoint;return{id:R,payload:{endpoint:S}}}else{let s=`${n.payload.endpoint}/${t}`;o(s);let a=await ct(s,{method:"POST",headers:this.headerBuilder.build({traceparent:r.traceparent}),clientVersion:this.clientVersion});await this.handleError(await jr(a,this.clientVersion));let f=await a.json(),{extensions:E}=f;E&&this.propagateResponseExtensions(E);return}}})}getURLAndAPIKey(){return 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diff --git a/server/src/generated/prisma/runtime/wasm-engine-edge.js b/server/src/generated/prisma/runtime/wasm-engine-edge.js
deleted file mode 100644
index ca995a0..0000000
--- a/server/src/generated/prisma/runtime/wasm-engine-edge.js
+++ /dev/null
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Use the mongodb provider.`,{clientVersion:this._clientVersion});return this._createPrismaPromise(i=>this._request({args:n,clientMethod:"$runCommandRaw",dataPath:[],action:"runCommandRaw",argsMapper:xo,callsite:Ce(this._errorFormat),transaction:i}))}async $queryRawInternal(n,i,o,s){let a=this._activeProvider;return this._request({action:"queryRaw",args:o,transaction:n,clientMethod:i,argsMapper:ln({clientMethod:i,activeProvider:a}),callsite:Ce(this._errorFormat),dataPath:[],middlewareArgsMapper:s})}$queryRaw(n,...i){return this._createPrismaPromise(o=>{if(n.raw!==void 0||n.sql!==void 0)return this.$queryRawInternal(o,"$queryRaw",...Qo(n,i));throw new K("`$queryRaw` is a tag function, please use it like the following:\n```\nconst result = await prisma.$queryRaw`SELECT * FROM User WHERE id = ${1} OR email = ${'user@email.com'};`\n```\n\nOr read our docs at https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#queryraw\n",{clientVersion:this._clientVersion})})}$queryRawTyped(n){return this._createPrismaPromise(i=>{if(!this._hasPreviewFlag("typedSql"))throw new K("`typedSql` preview feature must be enabled in order to access $queryRawTyped API",{clientVersion:this._clientVersion});return this.$queryRawInternal(i,"$queryRawTyped",n)})}$queryRawUnsafe(n,...i){return this._createPrismaPromise(o=>this.$queryRawInternal(o,"$queryRawUnsafe",[n,...i]))}_transactionWithArray({promises:n,options:i}){let o=Hl.nextId(),s=Do(n.length),a=n.map((f,h)=>{if(f?.[Symbol.toStringTag]!=="PrismaPromise")throw new Error("All elements of the array need to be Prisma Client promises. Hint: Please make sure you are not awaiting the Prisma client calls you intended to pass in the $transaction function.");let C=i?.isolationLevel??this._engineConfig.transactionOptions.isolationLevel,A={kind:"batch",id:o,index:h,isolationLevel:C,lock:s};return f.requestTransaction?.(A)??f});return $o(a)}async _transactionWithCallback({callback:n,options:i}){let o={traceparent:this._tracingHelper.getTraceParent()},s={maxWait:i?.maxWait??this._engineConfig.transactionOptions.maxWait,timeout:i?.timeout??this._engineConfig.transactionOptions.timeout,isolationLevel:i?.isolationLevel??this._engineConfig.transactionOptions.isolationLevel},a=await this._engine.transaction("start",o,s),f;try{let h={kind:"itx",...a};f=await n(this._createItxClient(h)),await this._engine.transaction("commit",o,a)}catch(h){throw await this._engine.transaction("rollback",o,a).catch(()=>{}),h}return f}_createItxClient(n){return ae(Pt(ae(Hi(this),[H("_appliedParent",()=>this._appliedParent._createItxClient(n)),H("_createPrismaPromise",()=>un(n)),H(Kl,()=>n.id)])),[ze(eo)])}$transaction(n,i){let o;typeof n=="function"?this._engineConfig.adapter?.adapterName==="@prisma/adapter-d1"?o=()=>{throw new Error("Cloudflare D1 does not support interactive transactions. We recommend you to refactor your queries with that limitation in mind, and use batch transactions with `prisma.$transactions([])` where applicable.")}:o=()=>this._transactionWithCallback({callback:n,options:i}):o=()=>this._transactionWithArray({promises:n,options:i});let s={name:"transaction",attributes:{method:"$transaction"}};return this._tracingHelper.runInChildSpan(s,o)}_request(n){n.otelParentCtx=this._tracingHelper.getActiveContext();let i=n.middlewareArgsMapper??Wl,o={args:i.requestArgsToMiddlewareArgs(n.args),dataPath:n.dataPath,runInTransaction:!!n.transaction,action:n.action,model:n.model},s={operation:{name:"operation",attributes:{method:o.action,model:o.model,name:o.model?`${o.model}.${o.action}`:o.action}}},a=async f=>{let{runInTransaction:h,args:C,...A}=f,k={...n,...A};C&&(k.args=i.middlewareArgsToRequestArgs(C)),n.transaction!==void 0&&h===!1&&delete k.transaction;let R=await io(this,k);return k.model?Zi({result:R,modelName:k.model,args:k.args,extensions:this._extensions,runtimeDataModel:this._runtimeDataModel,globalOmit:this._globalOmit}):R};return this._tracingHelper.runInChildSpan(s.operation,()=>a(o))}async _executeRequest({args:n,clientMethod:i,dataPath:o,callsite:s,action:a,model:f,argsMapper:h,transaction:C,unpacker:A,otelParentCtx:k,customDataProxyFetch:R}){try{n=h?h(n):n;let _={name:"serialize"},O=this._tracingHelper.runInChildSpan(_,()=>nr({modelName:f,runtimeDataModel:this._runtimeDataModel,action:a,args:n,clientMethod:i,callsite:s,extensions:this._extensions,errorFormat:this._errorFormat,clientVersion:this._clientVersion,previewFeatures:this._previewFeatures,globalOmit:this._globalOmit}));return G.enabled("prisma:client")&&(Ae("Prisma Client call:"),Ae(`prisma.${i}(${qi(n)})`),Ae("Generated request:"),Ae(JSON.stringify(O,null,2)+`
-`)),C?.kind==="batch"&&await C.lock,this._requestHandler.request({protocolQuery:O,modelName:f,action:a,clientMethod:i,dataPath:o,callsite:s,args:n,extensions:this._extensions,transaction:C,unpacker:A,otelParentCtx:k,otelChildCtx:this._tracingHelper.getActiveContext(),globalOmit:this._globalOmit,customDataProxyFetch:R})}catch(_){throw _.clientVersion=this._clientVersion,_}}$metrics=new He(this);_hasPreviewFlag(n){return!!this._engineConfig.previewFeatures?.includes(n)}$applyPendingMigrations(){return this._engine.applyPendingMigrations()}$extends=zi}return e}function Qo(t,e){return zl(t)?[new ee(t,e),Ro]:[t,So]}function zl(t){return Array.isArray(t)&&Array.isArray(t.raw)}u();c();m();p();d();l();var Yl=new Set(["toJSON","$$typeof","asymmetricMatch",Symbol.iterator,Symbol.toStringTag,Symbol.isConcatSpreadable,Symbol.toPrimitive]);function Wo(t){return new Proxy(t,{get(e,r){if(r in e)return e[r];if(!Yl.has(r))throw new TypeError(`Invalid enum value: ${String(r)}`)}})}u();c();m();p();d();l();l();0&&(module.exports={DMMF,Debug,Decimal,Extensions,MetricsClient,PrismaClientInitializationError,PrismaClientKnownRequestError,PrismaClientRustPanicError,PrismaClientUnknownRequestError,PrismaClientValidationError,Public,Sql,createParam,defineDmmfProperty,deserializeJsonResponse,deserializeRawResult,dmmfToRuntimeDataModel,empty,getPrismaClient,getRuntime,join,makeStrictEnum,makeTypedQueryFactory,objectEnumValues,raw,serializeJsonQuery,skip,sqltag,warnEnvConflicts,warnOnce});
-//# sourceMappingURL=wasm-engine-edge.js.map
diff --git a/server/src/generated/prisma/schema.prisma b/server/src/generated/prisma/schema.prisma
deleted file mode 100644
index b58c0e8..0000000
--- a/server/src/generated/prisma/schema.prisma
+++ /dev/null
@@ -1,37 +0,0 @@
-// This is your Prisma schema file,
-// learn more about it in the docs: https://pris.ly/d/prisma-schema
-
-// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?
-// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init
-
-generator client {
-  provider = "prisma-client-js"
-  output   = "../src/generated/prisma"
-}
-
-datasource db {
-  provider = "postgresql"
-  url      = env("DATABASE_URL")
-}
-
-model Benchmark {
-  id        String   @id @default(cuid())
-  createdAt DateTime @default(now())
-
-  // Hardware info
-  cpuModel String
-  gpuModel String?
-  ramGB    Int
-  os       String
-
-  // Test parameters
-  codec  String
-  preset String
-
-  // Results
-  fps           Float
-  vmaf          Float?
-  fileSizeBytes Int
-
-  notes String?
-}
diff --git a/server/src/generated/prisma/wasm-edge-light-loader.mjs b/server/src/generated/prisma/wasm-edge-light-loader.mjs
deleted file mode 100644
index 081d3b7..0000000
--- a/server/src/generated/prisma/wasm-edge-light-loader.mjs
+++ /dev/null
@@ -1,4 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-export default import('./query_engine_bg.wasm?module')
\ No newline at end of file
diff --git a/server/src/generated/prisma/wasm-worker-loader.mjs b/server/src/generated/prisma/wasm-worker-loader.mjs
deleted file mode 100644
index d38c773..0000000
--- a/server/src/generated/prisma/wasm-worker-loader.mjs
+++ /dev/null
@@ -1,4 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-export default import('./query_engine_bg.wasm')
\ No newline at end of file
diff --git a/server/src/generated/prisma/wasm.d.ts b/server/src/generated/prisma/wasm.d.ts
deleted file mode 100644
index 274b8fa..0000000
--- a/server/src/generated/prisma/wasm.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from "./default"
\ No newline at end of file
diff --git a/server/src/generated/prisma/wasm.js b/server/src/generated/prisma/wasm.js
deleted file mode 100644
index 910a92e..0000000
--- a/server/src/generated/prisma/wasm.js
+++ /dev/null
@@ -1,207 +0,0 @@
-
-/* !!! This is code generated by Prisma. Do not edit directly. !!!
-/* eslint-disable */
-
-Object.defineProperty(exports, "__esModule", { value: true });
-
-const {
-  PrismaClientKnownRequestError,
-  PrismaClientUnknownRequestError,
-  PrismaClientRustPanicError,
-  PrismaClientInitializationError,
-  PrismaClientValidationError,
-  getPrismaClient,
-  sqltag,
-  empty,
-  join,
-  raw,
-  skip,
-  Decimal,
-  Debug,
-  objectEnumValues,
-  makeStrictEnum,
-  Extensions,
-  warnOnce,
-  defineDmmfProperty,
-  Public,
-  getRuntime,
-  createParam,
-} = require('./runtime/wasm-engine-edge.js')
-
-
-const Prisma = {}
-
-exports.Prisma = Prisma
-exports.$Enums = {}
-
-/**
- * Prisma Client JS version: 6.16.3
- * Query Engine version: bb420e667c1820a8c05a38023385f6cc7ef8e83a
- */
-Prisma.prismaVersion = {
-  client: "6.16.3",
-  engine: "bb420e667c1820a8c05a38023385f6cc7ef8e83a"
-}
-
-Prisma.PrismaClientKnownRequestError = PrismaClientKnownRequestError;
-Prisma.PrismaClientUnknownRequestError = PrismaClientUnknownRequestError
-Prisma.PrismaClientRustPanicError = PrismaClientRustPanicError
-Prisma.PrismaClientInitializationError = PrismaClientInitializationError
-Prisma.PrismaClientValidationError = PrismaClientValidationError
-Prisma.Decimal = Decimal
-
-/**
- * Re-export of sql-template-tag
- */
-Prisma.sql = sqltag
-Prisma.empty = empty
-Prisma.join = join
-Prisma.raw = raw
-Prisma.validator = Public.validator
-
-/**
-* Extensions
-*/
-Prisma.getExtensionContext = Extensions.getExtensionContext
-Prisma.defineExtension = Extensions.defineExtension
-
-/**
- * Shorthand utilities for JSON filtering
- */
-Prisma.DbNull = objectEnumValues.instances.DbNull
-Prisma.JsonNull = objectEnumValues.instances.JsonNull
-Prisma.AnyNull = objectEnumValues.instances.AnyNull
-
-Prisma.NullTypes = {
-  DbNull: objectEnumValues.classes.DbNull,
-  JsonNull: objectEnumValues.classes.JsonNull,
-  AnyNull: objectEnumValues.classes.AnyNull
-}
-
-
-
-
-
-/**
- * Enums
- */
-exports.Prisma.TransactionIsolationLevel = makeStrictEnum({
-  ReadUncommitted: 'ReadUncommitted',
-  ReadCommitted: 'ReadCommitted',
-  RepeatableRead: 'RepeatableRead',
-  Serializable: 'Serializable'
-});
-
-exports.Prisma.BenchmarkScalarFieldEnum = {
-  id: 'id',
-  createdAt: 'createdAt',
-  cpuModel: 'cpuModel',
-  gpuModel: 'gpuModel',
-  ramGB: 'ramGB',
-  os: 'os',
-  codec: 'codec',
-  preset: 'preset',
-  fps: 'fps',
-  vmaf: 'vmaf',
-  fileSizeBytes: 'fileSizeBytes',
-  notes: 'notes'
-};
-
-exports.Prisma.SortOrder = {
-  asc: 'asc',
-  desc: 'desc'
-};
-
-exports.Prisma.QueryMode = {
-  default: 'default',
-  insensitive: 'insensitive'
-};
-
-exports.Prisma.NullsOrder = {
-  first: 'first',
-  last: 'last'
-};
-
-
-exports.Prisma.ModelName = {
-  Benchmark: 'Benchmark'
-};
-/**
- * Create the Client
- */
-const config = {
-  "generator": {
-    "name": "client",
-    "provider": {
-      "fromEnvVar": null,
-      "value": "prisma-client-js"
-    },
-    "output": {
-      "value": "/Users/ofhd/Developer/Encoding_Database/server/src/generated/prisma",
-      "fromEnvVar": null
-    },
-    "config": {
-      "engineType": "library"
-    },
-    "binaryTargets": [
-      {
-        "fromEnvVar": null,
-        "value": "darwin-arm64",
-        "native": true
-      }
-    ],
-    "previewFeatures": [],
-    "sourceFilePath": "/Users/ofhd/Developer/Encoding_Database/server/prisma/schema.prisma",
-    "isCustomOutput": true
-  },
-  "relativeEnvPaths": {
-    "rootEnvPath": null,
-    "schemaEnvPath": "../../../.env"
-  },
-  "relativePath": "../../../prisma",
-  "clientVersion": "6.16.3",
-  "engineVersion": "bb420e667c1820a8c05a38023385f6cc7ef8e83a",
-  "datasourceNames": [
-    "db"
-  ],
-  "activeProvider": "postgresql",
-  "inlineDatasources": {
-    "db": {
-      "url": {
-        "fromEnvVar": "DATABASE_URL",
-        "value": null
-      }
-    }
-  },
-  "inlineSchema": "// This is your Prisma schema file,\n// learn more about it in the docs: https://pris.ly/d/prisma-schema\n\n// Looking for ways to speed up your queries, or scale easily with your serverless or edge functions?\n// Try Prisma Accelerate: https://pris.ly/cli/accelerate-init\n\ngenerator client {\n  provider = \"prisma-client-js\"\n  output   = \"../src/generated/prisma\"\n}\n\ndatasource db {\n  provider = \"postgresql\"\n  url      = env(\"DATABASE_URL\")\n}\n\nmodel Benchmark {\n  id        String   @id @default(cuid())\n  createdAt DateTime @default(now())\n\n  // Hardware info\n  cpuModel String\n  gpuModel String?\n  ramGB    Int\n  os       String\n\n  // Test parameters\n  codec  String\n  preset String\n\n  // Results\n  fps           Float\n  vmaf          Float?\n  fileSizeBytes Int\n\n  notes String?\n}\n",
-  "inlineSchemaHash": "0b4063a64cc80968a4cd079df98a39d02545d0a08e8124ec46cf7be4e862960d",
-  "copyEngine": true
-}
-config.dirname = '/'
-
-config.runtimeDataModel = JSON.parse("{\"models\":{\"Benchmark\":{\"fields\":[{\"name\":\"id\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"createdAt\",\"kind\":\"scalar\",\"type\":\"DateTime\"},{\"name\":\"cpuModel\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"gpuModel\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"ramGB\",\"kind\":\"scalar\",\"type\":\"Int\"},{\"name\":\"os\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"codec\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"preset\",\"kind\":\"scalar\",\"type\":\"String\"},{\"name\":\"fps\",\"kind\":\"scalar\",\"type\":\"Float\"},{\"name\":\"vmaf\",\"kind\":\"scalar\",\"type\":\"Float\"},{\"name\":\"fileSizeBytes\",\"kind\":\"scalar\",\"type\":\"Int\"},{\"name\":\"notes\",\"kind\":\"scalar\",\"type\":\"String\"}],\"dbName\":null}},\"enums\":{},\"types\":{}}")
-defineDmmfProperty(exports.Prisma, config.runtimeDataModel)
-config.engineWasm = {
-  getRuntime: async () => require('./query_engine_bg.js'),
-  getQueryEngineWasmModule: async () => {
-    const loader = (await import('#wasm-engine-loader')).default
-    const engine = (await loader).default
-    return engine
-  }
-}
-config.compilerWasm = undefined
-
-config.injectableEdgeEnv = () => ({
-  parsed: {
-    DATABASE_URL: typeof globalThis !== 'undefined' && globalThis['DATABASE_URL'] || typeof process !== 'undefined' && process.env && process.env.DATABASE_URL || undefined
-  }
-})
-
-if (typeof globalThis !== 'undefined' && globalThis['DEBUG'] || typeof process !== 'undefined' && process.env && process.env.DEBUG || undefined) {
-  Debug.enable(typeof globalThis !== 'undefined' && globalThis['DEBUG'] || typeof process !== 'undefined' && process.env && process.env.DEBUG || undefined)
-}
-
-const PrismaClient = getPrismaClient(config)
-exports.PrismaClient = PrismaClient
-Object.assign(exports, Prisma)
-
diff --git a/server/src/index.ts b/server/src/index.ts
index 80c95f2..dcd857f 100644
--- a/server/src/index.ts
+++ b/server/src/index.ts
@@ -50,9 +50,9 @@ app.use(morgan((tokens: any, req, res) => {
 }));
 
 // CORS configuration (defaults assume hosting behind Nginx Proxy Manager at encodingdb.platinumlabs.dev)
-const corsOriginEnv = process.env.CORS_ORIGIN || 'https://encodingdb.platinumlabs.dev';
-const allowedOrigins = corsOriginEnv.split(',').map(v => v.trim()).filter(Boolean);
 const isProd = process.env.NODE_ENV === 'production';
+const corsOriginEnv = process.env.CORS_ORIGIN || (isProd ? 'https://encodingdb.platinumlabs.dev' : '*');
+const allowedOrigins = corsOriginEnv.split(',').map(v => v.trim()).filter(Boolean);
 const isWildcard = corsOriginEnv === '*';
 if (isProd && isWildcard) {
   console.error('CORS_ORIGIN is "*" in production. Please set explicit origins.');
@@ -62,7 +62,7 @@ const corsOptions = isWildcard
       ? {
           origin: (origin: string | undefined, callback: (err: Error | null, allowed?: boolean) => void) => {
             // In production, reject wildcard; only allow explicit list (which will be empty → deny)
-            if (!origin) return callback(null, false);
+            if (!origin) return callback(null, true);
             if (allowedOrigins.includes(origin)) return callback(null, true);
             return callback(new Error('Not allowed by CORS'));
           },
@@ -92,7 +92,6 @@ app.use(express.json({
 const ingestSecret = process.env.INGEST_HMAC_SECRET || '';
 const maxSkewSeconds = Number(process.env.INGEST_MAX_SKEW_SECONDS || 300);
 const seenSignatures = new Map<string, number>();
-let warnedNoSecret = false;
 
 function isReplay(sig: string, nowMs: number): boolean {
   const exp = seenSignatures.get(sig);
@@ -147,7 +146,11 @@ function normalizeIp(ip: string | undefined): string {
 }
 
 // Token endpoint - short-lived, one-time token bound to IP
+const TOKEN_STORE_MAX_SIZE = 10_000;
 function issueSubmitToken(req: express.Request, res: express.Response) {
+  if (tokenStore.size >= TOKEN_STORE_MAX_SIZE) {
+    return res.status(503).json({ error: 'Token store capacity exceeded. Try again later.' });
+  }
   const token = crypto.randomBytes(16).toString('hex');
   const expMs = Date.now() + submitTokenTtlSeconds * 1000;
   tokenStore.set(token, { ip: normalizeIp(req.ip), expMs, used: false });
@@ -252,6 +255,13 @@ app.use('/submit', (req, res, next) => {
   return next();
 });
 
+// Rate limiter key: combine IP + User-Agent to reduce NAT collisions (B-S04)
+function rateLimitKeyGenerator(req: express.Request): string {
+  const ip = normalizeIp(req.ip) || 'unknown';
+  const ua = (req.headers['user-agent'] || '').slice(0, 64);
+  return `${ip}:${ua}`;
+}
+
 // Basic rate limiting (skip health endpoints)
 const windowMs = Number(process.env.RATE_LIMIT_WINDOW_MS || 60_000);
 const maxReqs = Number(process.env.RATE_LIMIT_MAX || 300);
@@ -261,6 +271,7 @@ app.use(rateLimit({
   standardHeaders: true,
   legacyHeaders: false,
   skip: (req) => req.path.startsWith('/health'),
+  keyGenerator: rateLimitKeyGenerator,
 }));
 
 // Stricter limiter for public submissions
@@ -271,6 +282,7 @@ app.use('/submit', rateLimit({
   max: submitMax,
   standardHeaders: true,
   legacyHeaders: false,
+  keyGenerator: rateLimitKeyGenerator,
 }));
 
 // Health endpoints
@@ -282,7 +294,7 @@ app.get('/health/ready', async (_req, res) => {
   try {
     await prisma.$queryRaw`SELECT 1`;
     res.json({ status: 'ok' });
-  } catch (err) {
+  } catch {
     res.status(503).json({ status: 'degraded', error: 'db_unreachable' });
   }
 });
@@ -293,11 +305,8 @@ app.get('/health', (_req, res) => {
 
 // Health-based token endpoint (covered by nginx health.* routing)
 app.get('/health/token', (req, res) => {
-  // Issue and store a real token (same logic as /submit-token)
-  const token = crypto.randomBytes(16).toString('hex');
-  const expMs = Date.now() + submitTokenTtlSeconds * 1000;
-  tokenStore.set(token, { ip: normalizeIp(req.ip), expMs, used: false });
-  res.json({ token, exp: Math.floor(expMs / 1000), pow: powEnabled ? { difficulty: powDifficulty } : { difficulty: 0 } });
+  // Reuse common issuance path so capacity checks and response shape stay consistent.
+  return issueSubmitToken(req, res);
 });
 
 // Routes
@@ -327,8 +336,6 @@ app.use((err: any, req: express.Request, res: express.Response, _next: express.N
   res.status(500).json({ error: 'Internal Server Error' });
 });
 
- 
-
 const port = process.env.PORT || 3001;
 let server: ReturnType<typeof app.listen>;
 
@@ -374,6 +381,7 @@ async function shutdown(signal: string) {
 
 process.on('SIGINT', () => shutdown('SIGINT'));
 process.on('SIGTERM', () => shutdown('SIGTERM'));
+process.on('SIGHUP', () => shutdown('SIGHUP'));
 
 // Crash guards
 process.on('unhandledRejection', (reason) => {
diff --git a/server/src/routes.ts b/server/src/routes.ts
index 9a85555..8e19f3c 100644
--- a/server/src/routes.ts
+++ b/server/src/routes.ts
@@ -1,12 +1,18 @@
 import { Router } from 'express';
 import { z } from 'zod';
+import type { Prisma } from '@prisma/client';
 import { prisma } from './db.js';
 import crypto from 'node:crypto';
 
 const router = Router();
 
+type BenchmarkRow = Awaited<ReturnType<typeof prisma.benchmark.findMany>>[number];
+
 // Public ingest: remove API key requirement; rely on rate limits, validation, and heuristics
 
+const VALID_CONTENT_CLASSES = ['mixed', 'talkingHead', 'action', 'animation', 'screen', 'nature', 'gaming'] as const;
+const VALID_RESOLUTIONS = ['480p', '720p', '1080p', '1440p', '4k'] as const;
+
 const benchmarkSchema = z.object({
   cpuModel: z.string().min(3).max(200),
   gpuModel: z.string().max(200).optional().nullable(),
@@ -15,21 +21,173 @@ const benchmarkSchema = z.object({
   codec: z.string().min(1).max(64),
   preset: z.string().min(1).max(64),
   crf: z.coerce.number().int().min(0).max(63).optional().nullable(),
+  contentClass: z.enum(VALID_CONTENT_CLASSES).optional().nullable(),
+  resolution: z.enum(VALID_RESOLUTIONS).optional().nullable(),
+  passes: z.coerce.number().int().min(1).max(2).optional().nullable(),
   fps: z.coerce.number().nonnegative().max(5000),
   vmaf: z.coerce.number().min(0).max(100).optional().nullable(),
+  ssim: z.coerce.number().min(0).max(1).optional().nullable(),
+  psnr: z.coerce.number().min(0).max(100).optional().nullable(),
   fileSizeBytes: z.coerce.number().int().nonnegative().max(1_000 * 1024 * 1024),
-  notes: z.string().max(500).optional().nullable(),
-  // Submission metadata (optional for MVP)
+  notes: z.string().max(4000).optional().nullable(),
   ffmpegVersion: z.string().max(200).optional().nullable(),
   encoderName: z.string().max(100).optional().nullable(),
   clientVersion: z.string().max(100).optional().nullable(),
-  inputHash: z.string().length(64).regex(/^[0-9a-f]+$/).optional().nullable(), // sha256 hex
+  inputHash: z.string().length(64).regex(/^[0-9a-f]+$/).optional().nullable(),
   runMs: z.coerce.number().int().nonnegative().max(24 * 60 * 60 * 1000).optional().nullable(),
+  // Hardware metrics (Sprint 6)
+  gpuUtilAvg: z.coerce.number().min(0).max(100).optional().nullable(),
+  gpuPowerAvgW: z.coerce.number().min(0).max(1000).optional().nullable(),
+  gpuMemPeakMB: z.coerce.number().min(0).max(100000).optional().nullable(),
+  cpuUtilAvg: z.coerce.number().min(0).max(100).optional().nullable(),
+  cpuUtilMax: z.coerce.number().min(0).max(100).optional().nullable(),
+  peakMemoryMB: z.coerce.number().min(0).max(500000).optional().nullable(),
+  thermalThrottle: z.boolean().optional().nullable(),
+  // Extended telemetry (Sprint 7)
+  gpuTempMaxC: z.coerce.number().min(0).max(130).optional().nullable(),
+  cpuFreqAvgMHz: z.coerce.number().min(0).max(10000).optional().nullable(),
+  cpuTempMaxC: z.coerce.number().min(0).max(130).optional().nullable(),
+  ffmpegCpuUtilAvg: z.coerce.number().min(0).max(10000).optional().nullable(),
+  ffmpegCpuUtilMax: z.coerce.number().min(0).max(10000).optional().nullable(),
+  ffmpegReadMB: z.coerce.number().min(0).max(5_000_000).optional().nullable(),
+  ffmpegWriteMB: z.coerce.number().min(0).max(5_000_000).optional().nullable(),
+  ffmpegCpuTimeS: z.coerce.number().min(0).max(24 * 60 * 60).optional().nullable(),
+  batteryPercentStart: z.coerce.number().min(0).max(100).optional().nullable(),
+  batteryPercentEnd: z.coerce.number().min(0).max(100).optional().nullable(),
+  batteryPercentDrop: z.coerce.number().min(0).max(100).optional().nullable(),
+  powerSource: z.enum(['ac', 'battery']).optional().nullable(),
+  sampleCount: z.coerce.number().int().min(0).max(1_000_000).optional().nullable(),
+  monitorDurationMs: z.coerce.number().int().min(0).max(24 * 60 * 60 * 1000).optional().nullable(),
 }).strict();
 
 // Type inferred from Zod schema for proper type safety
 type BenchmarkSubmission = z.infer<typeof benchmarkSchema>;
 
+type SubmissionDimensions = {
+  contentClass: typeof VALID_CONTENT_CLASSES[number];
+  resolution: typeof VALID_RESOLUTIONS[number];
+  passes: number;
+};
+
+export function buildSubmissionPayloadHash(data: BenchmarkSubmission, dims: SubmissionDimensions): string {
+  const normalizedGpuModel = (data.gpuModel && data.gpuModel.trim()) ? data.gpuModel.trim() : '';
+  const significant = {
+    cpuModel: data.cpuModel,
+    gpuModel: normalizedGpuModel,
+    ramGB: data.ramGB,
+    os: data.os,
+    codec: data.codec,
+    preset: data.preset,
+    crf: Number(data.crf ?? 24),
+    contentClass: dims.contentClass,
+    resolution: dims.resolution,
+    passes: dims.passes === 2 ? 2 : 1,
+    fps: Number(data.fps),
+    vmaf: data.vmaf ?? null,
+    ssim: data.ssim ?? null,
+    psnr: data.psnr ?? null,
+    fileSizeBytes: Number(data.fileSizeBytes),
+    notes: data.notes ?? null,
+    ffmpegVersion: data.ffmpegVersion ?? null,
+    encoderName: data.encoderName ?? null,
+    clientVersion: data.clientVersion ?? null,
+    inputHash: data.inputHash ?? null,
+    runMs: data.runMs ?? null,
+    gpuUtilAvg: data.gpuUtilAvg ?? null,
+    gpuPowerAvgW: data.gpuPowerAvgW ?? null,
+    gpuMemPeakMB: data.gpuMemPeakMB ?? null,
+    cpuUtilAvg: data.cpuUtilAvg ?? null,
+    cpuUtilMax: data.cpuUtilMax ?? null,
+    peakMemoryMB: data.peakMemoryMB ?? null,
+    thermalThrottle: data.thermalThrottle ?? null,
+    gpuTempMaxC: data.gpuTempMaxC ?? null,
+    cpuFreqAvgMHz: data.cpuFreqAvgMHz ?? null,
+    cpuTempMaxC: data.cpuTempMaxC ?? null,
+    ffmpegCpuUtilAvg: data.ffmpegCpuUtilAvg ?? null,
+    ffmpegCpuUtilMax: data.ffmpegCpuUtilMax ?? null,
+    ffmpegReadMB: data.ffmpegReadMB ?? null,
+    ffmpegWriteMB: data.ffmpegWriteMB ?? null,
+    ffmpegCpuTimeS: data.ffmpegCpuTimeS ?? null,
+    batteryPercentStart: data.batteryPercentStart ?? null,
+    batteryPercentEnd: data.batteryPercentEnd ?? null,
+    batteryPercentDrop: data.batteryPercentDrop ?? null,
+    powerSource: data.powerSource ?? null,
+    sampleCount: data.sampleCount ?? null,
+    monitorDurationMs: data.monitorDurationMs ?? null,
+  } as const;
+  return crypto.createHash('sha256').update(JSON.stringify(significant)).digest('hex');
+}
+
+const TELEMETRY_NOTE_REGEX = /telemetry=(\{[\s\S]*?\})(?:;|$)/;
+
+function _parseTelemetryFromNotes(notes: string | null | undefined): Partial<BenchmarkSubmission> {
+  if (!notes) return {};
+  const match = TELEMETRY_NOTE_REGEX.exec(notes);
+  if (!match?.[1]) return {};
+  let parsed: unknown;
+  try {
+    parsed = JSON.parse(match[1]);
+  } catch {
+    return {};
+  }
+  if (!parsed || typeof parsed !== 'object') return {};
+  const raw = parsed as Record<string, unknown>;
+
+  const out: Partial<BenchmarkSubmission> = {};
+  const putNumber = (key: keyof BenchmarkSubmission, integer = false): void => {
+    const v = raw[String(key)];
+    if (v == null) return;
+    const n = typeof v === 'number' ? v : (typeof v === 'string' ? Number(v) : NaN);
+    if (!Number.isFinite(n)) return;
+    (out as Record<string, unknown>)[String(key)] = integer ? Math.round(n) : n;
+  };
+
+  putNumber('gpuUtilAvg');
+  putNumber('gpuPowerAvgW');
+  putNumber('gpuMemPeakMB');
+  putNumber('cpuUtilAvg');
+  putNumber('cpuUtilMax');
+  putNumber('peakMemoryMB');
+  if (typeof raw.thermalThrottle === 'boolean') out.thermalThrottle = raw.thermalThrottle;
+
+  putNumber('gpuTempMaxC');
+  putNumber('cpuFreqAvgMHz');
+  putNumber('cpuTempMaxC');
+  putNumber('ffmpegCpuUtilAvg');
+  putNumber('ffmpegCpuUtilMax');
+  putNumber('ffmpegReadMB');
+  putNumber('ffmpegWriteMB');
+  putNumber('ffmpegCpuTimeS');
+  putNumber('batteryPercentStart');
+  putNumber('batteryPercentEnd');
+  putNumber('batteryPercentDrop');
+  const ps = raw.powerSource;
+  if (ps === 'ac' || ps === 'battery') out.powerSource = ps;
+  putNumber('sampleCount', true);
+  putNumber('monitorDurationMs', true);
+
+  return out;
+}
+
+function _applyTelemetryFallback(data: BenchmarkSubmission): void {
+  const telemetry = _parseTelemetryFromNotes(data.notes);
+  if (!telemetry) return;
+  const keys: Array<keyof BenchmarkSubmission> = [
+    'gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
+    'cpuUtilAvg', 'cpuUtilMax', 'peakMemoryMB', 'thermalThrottle',
+    'gpuTempMaxC', 'cpuFreqAvgMHz', 'cpuTempMaxC',
+    'ffmpegCpuUtilAvg', 'ffmpegCpuUtilMax',
+    'ffmpegReadMB', 'ffmpegWriteMB', 'ffmpegCpuTimeS',
+    'batteryPercentStart', 'batteryPercentEnd', 'batteryPercentDrop',
+    'powerSource', 'sampleCount', 'monitorDurationMs',
+  ];
+  for (const key of keys) {
+    if (data[key] == null && telemetry[key] != null) {
+      (data[key] as BenchmarkSubmission[typeof key]) = telemetry[key] as BenchmarkSubmission[typeof key];
+    }
+  }
+}
+
 // Helper to log errors in structured JSON format
 function logError(context: string, error: unknown): void {
   console.error(JSON.stringify({
@@ -43,7 +201,7 @@ function logError(context: string, error: unknown): void {
 
 // Simple canonical hash list for MVP (publish in README)
 const CANONICAL_INPUT_HASHES = new Set<string>([
-  // sha256 of sample.mp4 (to be documented)
+  '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8',
 ]);
 
 // Method guard for /submit (reject non-POST) - must be registered before the POST handler
@@ -61,29 +219,22 @@ router.post('/submit', async (req, res) => {
     return res.status(400).json({ error: 'Invalid payload', details: parse.error.flatten() });
   }
   const data: BenchmarkSubmission = parse.data;
-  // Enforce default CRF=24 when missing/null to ensure consistent records
   if (data.crf == null || !Number.isFinite(Number(data.crf))) {
     data.crf = 24;
   }
-  // Compute deduplication hash based on significant fields (outside try so it's visible in catch)
-  const significant = {
-    cpuModel: data.cpuModel,
-    gpuModel: data.gpuModel ?? null,
-    ramGB: data.ramGB,
-    os: data.os,
-    codec: data.codec,
-    preset: data.preset,
-    crf: Number(data.crf),
-    fps: data.fps,
-    vmaf: data.vmaf ?? null,
-    fileSizeBytes: data.fileSizeBytes,
-    inputHash: data.inputHash ?? null,
-  } as const;
-  const payloadHash = crypto.createHash('sha256').update(JSON.stringify(significant)).digest('hex');
+  _applyTelemetryFallback(data);
+  const contentClassValue = data.contentClass ?? 'mixed';
+  const resolutionValue = data.resolution ?? '1080p';
+  const passesValue = data.passes ?? 1;
+  const payloadHash = buildSubmissionPayloadHash(data, {
+    contentClass: contentClassValue,
+    resolution: resolutionValue,
+    passes: passesValue,
+  });
 
   try {
     // Fast path: if the exact same payload was already counted, return existing (idempotency)
-    const existingByHash = await prisma.benchmark.findUnique({ where: { payloadHash } }).catch((err) => {
+    const existingByHash = await prisma.benchmark.findUnique({ where: { payloadHash } }).catch((err: unknown) => {
       logError('findUnique by payloadHash', err);
       return null;
     });
@@ -110,65 +261,89 @@ router.post('/submit', async (req, res) => {
       codec: data.codec,
       preset: data.preset,
       crf: Number(data.crf ?? 24),
+      contentClass: contentClassValue,
+      resolution: resolutionValue,
+      passes: passesValue,
     };
 
-    // Fetch recent samples for robust baseline (best-effort; tolerate missing table)
-    let recentSubs: Array<{ fps: number; fileSizeBytes: bigint | number; vmaf: number | null }> = [];
+    // Compute robust Z-scores via PostgreSQL (S-06): median + MAD in a single query
+    let fpsZ = 0, sizeZ = 0, vmafZ = 0, ssimZ = 0, psnrZ = 0;
     try {
-      recentSubs = await prisma.submission.findMany({
-        where: {
-          status: 'accepted',
-          cpuModel: key.cpuModel,
-          gpuModel: gpuModelValue || null, // Use null for empty string in queries
-          ramGB: key.ramGB,
-          os: key.os,
-          codec: key.codec,
-          preset: key.preset,
-          crf: key.crf,
-        },
-        orderBy: { createdAt: 'desc' },
-        take: 200,
-        select: { fps: true, fileSizeBytes: true, vmaf: true },
-      });
-    } catch (err) {
-      logError('fetchRecentSubmissions', err);
-    }
-    function median(values: number[]): number {
-      const v = [...values].sort((a, b) => a - b);
-      const n = v.length;
-      if (n === 0) return 0;
-      const m = Math.floor(n / 2);
-      if (n % 2 === 1) {
-        return v[m] ?? 0;
+      const stats: Array<{
+        fps_med: number | null; fps_mad: number | null;
+        size_med: number | null; size_mad: number | null;
+        vmaf_med: number | null; vmaf_mad: number | null;
+        ssim_med: number | null; ssim_mad: number | null;
+        psnr_med: number | null; psnr_mad: number | null;
+        cnt: bigint | number;
+      }> = await prisma.$queryRaw`
+        WITH recent AS (
+          SELECT "fps", "fileSizeBytes"::double precision AS size, "vmaf", "ssim", "psnr"
+          FROM "Submission"
+          WHERE "status" = 'accepted'
+            AND "cpuModel" = ${key.cpuModel}
+            AND "gpuModel" = ${key.gpuModel}
+            AND "ramGB" = ${key.ramGB}
+            AND "os" = ${key.os}
+            AND "codec" = ${key.codec}
+            AND "preset" = ${key.preset}
+            AND "crf" = ${key.crf}
+            AND "contentClass" = ${key.contentClass}
+            AND "resolution" = ${key.resolution}
+            AND "passes" = ${key.passes}
+          ORDER BY "createdAt" DESC
+          LIMIT 200
+        )
+        SELECT
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY fps) AS fps_med,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ABS(fps - (SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY fps) FROM recent))) AS fps_mad,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY size) AS size_med,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ABS(size - (SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY size) FROM recent))) AS size_mad,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(vmaf, 0)) FILTER (WHERE vmaf IS NOT NULL) AS vmaf_med,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ABS(COALESCE(vmaf, 0) - COALESCE((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(vmaf, 0)) FROM recent WHERE vmaf IS NOT NULL), 0))) FILTER (WHERE vmaf IS NOT NULL) AS vmaf_mad,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(ssim, 0)) FILTER (WHERE ssim IS NOT NULL) AS ssim_med,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ABS(COALESCE(ssim, 0) - COALESCE((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(ssim, 0)) FROM recent WHERE ssim IS NOT NULL), 0))) FILTER (WHERE ssim IS NOT NULL) AS ssim_mad,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(psnr, 0)) FILTER (WHERE psnr IS NOT NULL) AS psnr_med,
+          PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY ABS(COALESCE(psnr, 0) - COALESCE((SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY COALESCE(psnr, 0)) FROM recent WHERE psnr IS NOT NULL), 0))) FILTER (WHERE psnr IS NOT NULL) AS psnr_mad,
+          COUNT(*) AS cnt
+        FROM recent
+      `;
+      const row = stats[0];
+      if (row && Number(row.cnt) > 0) {
+        const robustZ = (x: number, med: number, madVal: number): number => {
+          const denom = madVal > 0 ? 1.4826 * madVal : 1;
+          return (x - med) / denom;
+        };
+        const fpsMed = Number(row.fps_med ?? data.fps);
+        const fpsMad = Number(row.fps_mad ?? 0);
+        const sizeMed = Number(row.size_med ?? data.fileSizeBytes);
+        const sizeMad = Number(row.size_mad ?? 0);
+        fpsZ = robustZ(Number(data.fps), fpsMed, fpsMad);
+        sizeZ = robustZ(Number(data.fileSizeBytes), sizeMed, sizeMad);
+        if (data.vmaf != null) {
+          const vmafMed = Number(row.vmaf_med ?? data.vmaf ?? 0);
+          const vmafMad = Number(row.vmaf_mad ?? 0);
+          vmafZ = robustZ(Number(data.vmaf), vmafMed, vmafMad);
+        }
+        if (data.ssim != null) {
+          const ssimMed = Number(row.ssim_med ?? data.ssim ?? 0);
+          const ssimMad = Number(row.ssim_mad ?? 0);
+          ssimZ = robustZ(Number(data.ssim), ssimMed, ssimMad);
+        }
+        if (data.psnr != null) {
+          const psnrMed = Number(row.psnr_med ?? data.psnr ?? 0);
+          const psnrMad = Number(row.psnr_mad ?? 0);
+          psnrZ = robustZ(Number(data.psnr), psnrMed, psnrMad);
+        }
       }
-      // For even n, both indices exist (n >= 2). Use nullish coalescing to satisfy TS strict index checks.
-      const a = v[m - 1] ?? 0;
-      const b = v[m] ?? 0;
-      return (a + b) / 2;
+    } catch (err) {
+      logError('computeRobustZScores', err);
     }
-    function mad(values: number[], med: number): number { const dev = values.map(x=>Math.abs(x-med)); return median(dev); }
-    function robustZ(x: number, med: number, madVal: number): number { const denom = madVal > 0 ? 1.4826 * madVal : 1; return (x - med) / denom; }
-
-    // Build arrays for metrics to check
-    const fpsArr = recentSubs.map(r => Number(r.fps)).filter(n => Number.isFinite(n) && n > 0);
-    const sizeArr = recentSubs.map(r => Number(r.fileSizeBytes)).filter(n => Number.isFinite(n) && n > 0);
-    const vmafArr = recentSubs.map(r => Number(r.vmaf ?? 0)).filter(n => Number.isFinite(n) && n >= 0);
-
-    const fpsMed = fpsArr.length ? median(fpsArr) : Number(data.fps);
-    const fpsMad = fpsArr.length ? mad(fpsArr, fpsMed) : 0;
-    const sizeMed = sizeArr.length ? median(sizeArr) : Number(data.fileSizeBytes);
-    const sizeMad = sizeArr.length ? mad(sizeArr, sizeMed) : 0;
-    const vmafMed = vmafArr.length ? median(vmafArr) : Number(data.vmaf ?? 0);
-    const vmafMad = vmafArr.length ? mad(vmafArr, vmafMed) : 0;
-
-    const fpsZ = robustZ(Number(data.fps), fpsMed, fpsMad);
-    const sizeZ = robustZ(Number(data.fileSizeBytes), sizeMed, sizeMad);
-    const vmafZ = data.vmaf == null ? 0 : robustZ(Number(data.vmaf), vmafMed, vmafMad);
 
     // Penalize extreme deviations; also check impossible combos
     const impossible = !(isCodecOk && isPresetOk && isFpsOk && isSizeOk && namesOk);
-    const extreme = Math.max(Math.abs(fpsZ), Math.abs(sizeZ), Math.abs(vmafZ)) > 6; // conservative threshold
-    const suspect = Math.max(Math.abs(fpsZ), Math.abs(sizeZ), Math.abs(vmafZ)) > 3;  // softer threshold
+    const extreme = Math.max(Math.abs(fpsZ), Math.abs(sizeZ), Math.abs(vmafZ), Math.abs(ssimZ), Math.abs(psnrZ)) > 6; // conservative threshold
+    const suspect = Math.max(Math.abs(fpsZ), Math.abs(sizeZ), Math.abs(vmafZ), Math.abs(ssimZ), Math.abs(psnrZ)) > 3;  // softer threshold
     const baselineOk = inputHashOk || (isCodecOk && isPresetOk && isFpsOk && isSizeOk && namesOk);
     const status: 'pending' | 'accepted' | 'rejected' | 'suspect' = impossible ? 'rejected' : (extreme ? 'rejected' : (suspect ? 'suspect' : (baselineOk ? 'accepted' : 'pending')));
     const qualityScore = (() => {
@@ -183,19 +358,25 @@ router.post('/submit', async (req, res) => {
 
     // Composite key for aggregation (single row per hardware/codec/preset/crf)
     let createdNew = false;
-    // Store raw submission record for auditability
-    try {
-      await prisma.submission.create({
+    // All writes (Submission audit + Benchmark upsert) happen inside a single transaction
+    const row = await prisma.$transaction(async (tx: Prisma.TransactionClient) => {
+      // Store raw submission record for auditability (inside tx so it rolls back on failure)
+      await tx.submission.create({
         data: {
           cpuModel: data.cpuModel,
-          gpuModel: data.gpuModel || null, // Store null for empty/missing gpuModel
+          gpuModel: (data.gpuModel && data.gpuModel.trim()) ? data.gpuModel.trim() : '',
           ramGB: data.ramGB,
           os: data.os,
           codec: data.codec,
           preset: data.preset,
           crf: Number(data.crf ?? 24),
+          contentClass: contentClassValue,
+          resolution: resolutionValue,
+          passes: passesValue,
           fps: Number(data.fps),
           vmaf: data.vmaf == null ? null : Number(data.vmaf),
+          ssim: data.ssim == null ? null : Number(data.ssim),
+          psnr: data.psnr == null ? null : Number(data.psnr),
           fileSizeBytes: Number(data.fileSizeBytes),
           notes: data.notes || null,
           ffmpegVersion: data.ffmpegVersion || null,
@@ -203,89 +384,380 @@ router.post('/submit', async (req, res) => {
           clientVersion: data.clientVersion || null,
           inputHash: data.inputHash || null,
           runMs: data.runMs != null ? Number(data.runMs) : null,
+          gpuUtilAvg: data.gpuUtilAvg != null ? Number(data.gpuUtilAvg) : null,
+          gpuPowerAvgW: data.gpuPowerAvgW != null ? Number(data.gpuPowerAvgW) : null,
+          gpuMemPeakMB: data.gpuMemPeakMB != null ? Number(data.gpuMemPeakMB) : null,
+          cpuUtilAvg: data.cpuUtilAvg != null ? Number(data.cpuUtilAvg) : null,
+          cpuUtilMax: data.cpuUtilMax != null ? Number(data.cpuUtilMax) : null,
+          peakMemoryMB: data.peakMemoryMB != null ? Number(data.peakMemoryMB) : null,
+          thermalThrottle: data.thermalThrottle ?? null,
+          gpuTempMaxC: data.gpuTempMaxC != null ? Number(data.gpuTempMaxC) : null,
+          cpuFreqAvgMHz: data.cpuFreqAvgMHz != null ? Number(data.cpuFreqAvgMHz) : null,
+          cpuTempMaxC: data.cpuTempMaxC != null ? Number(data.cpuTempMaxC) : null,
+          ffmpegCpuUtilAvg: data.ffmpegCpuUtilAvg != null ? Number(data.ffmpegCpuUtilAvg) : null,
+          ffmpegCpuUtilMax: data.ffmpegCpuUtilMax != null ? Number(data.ffmpegCpuUtilMax) : null,
+          ffmpegReadMB: data.ffmpegReadMB != null ? Number(data.ffmpegReadMB) : null,
+          ffmpegWriteMB: data.ffmpegWriteMB != null ? Number(data.ffmpegWriteMB) : null,
+          ffmpegCpuTimeS: data.ffmpegCpuTimeS != null ? Number(data.ffmpegCpuTimeS) : null,
+          batteryPercentStart: data.batteryPercentStart != null ? Number(data.batteryPercentStart) : null,
+          batteryPercentEnd: data.batteryPercentEnd != null ? Number(data.batteryPercentEnd) : null,
+          batteryPercentDrop: data.batteryPercentDrop != null ? Number(data.batteryPercentDrop) : null,
+          powerSource: data.powerSource ?? null,
+          sampleCount: data.sampleCount != null ? Number(data.sampleCount) : null,
+          monitorDurationMs: data.monitorDurationMs != null ? Number(data.monitorDurationMs) : null,
           payloadHash,
           status,
           qualityScore,
         },
       });
-    } catch (err) {
-      // Log audit failures but don't block the benchmark aggregation
-      logError('createSubmissionAudit', err);
-    }
-    const row = await prisma.$transaction(async (tx) => {
-      // Transaction inherits global defaults (maxWait 5s, timeout 15s)
-      const existing = await tx.benchmark.findUnique({ where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf: key } });
+
+      const existing = await tx.benchmark.findUnique({ where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key } });
       if (!existing) {
         createdNew = true;
         // For new benchmarks, only count as sample if accepted
         const initialSamples = status === 'accepted' ? 1 : 0;
         const initialVmafSamples = (status === 'accepted' && data.vmaf != null) ? 1 : 0;
+        const initialSsimSamples = (status === 'accepted' && data.ssim != null) ? 1 : 0;
+        const initialPsnrSamples = (status === 'accepted' && data.psnr != null) ? 1 : 0;
+        const initialFpsSum = status === 'accepted' ? Number(data.fps) : 0;
+        const initialFileSizeSum = status === 'accepted' ? Number(data.fileSizeBytes) : 0;
+        const initialVmafSum = (status === 'accepted' && data.vmaf != null) ? Number(data.vmaf) : 0;
+        const initialSsimSum = (status === 'accepted' && data.ssim != null) ? Number(data.ssim) : 0;
+        const initialPsnrSum = (status === 'accepted' && data.psnr != null) ? Number(data.psnr) : 0;
+        const initialGpuUtilSamples = (status === 'accepted' && data.gpuUtilAvg != null) ? 1 : 0;
+        const initialGpuUtilSum = (status === 'accepted' && data.gpuUtilAvg != null) ? Number(data.gpuUtilAvg) : 0;
+        const initialGpuPowerSamples = (status === 'accepted' && data.gpuPowerAvgW != null) ? 1 : 0;
+        const initialGpuPowerSum = (status === 'accepted' && data.gpuPowerAvgW != null) ? Number(data.gpuPowerAvgW) : 0;
+        const initialCpuUtilSamples = (status === 'accepted' && data.cpuUtilAvg != null) ? 1 : 0;
+        const initialCpuUtilSum = (status === 'accepted' && data.cpuUtilAvg != null) ? Number(data.cpuUtilAvg) : 0;
+        const initialPeakMemoryMax = (status === 'accepted' && data.peakMemoryMB != null) ? Number(data.peakMemoryMB) : null;
+        const initialCpuFreqSamples = (status === 'accepted' && data.cpuFreqAvgMHz != null) ? 1 : 0;
+        const initialCpuFreqSum = (status === 'accepted' && data.cpuFreqAvgMHz != null) ? Number(data.cpuFreqAvgMHz) : 0;
+        const initialFfmpegCpuUtilSamples = (status === 'accepted' && data.ffmpegCpuUtilAvg != null) ? 1 : 0;
+        const initialFfmpegCpuUtilSum = (status === 'accepted' && data.ffmpegCpuUtilAvg != null) ? Number(data.ffmpegCpuUtilAvg) : 0;
+        const initialFfmpegReadSamples = (status === 'accepted' && data.ffmpegReadMB != null) ? 1 : 0;
+        const initialFfmpegReadSum = (status === 'accepted' && data.ffmpegReadMB != null) ? Number(data.ffmpegReadMB) : 0;
+        const initialFfmpegWriteSamples = (status === 'accepted' && data.ffmpegWriteMB != null) ? 1 : 0;
+        const initialFfmpegWriteSum = (status === 'accepted' && data.ffmpegWriteMB != null) ? Number(data.ffmpegWriteMB) : 0;
+        const initialFfmpegCpuTimeSamples = (status === 'accepted' && data.ffmpegCpuTimeS != null) ? 1 : 0;
+        const initialFfmpegCpuTimeSum = (status === 'accepted' && data.ffmpegCpuTimeS != null) ? Number(data.ffmpegCpuTimeS) : 0;
+        const initialBatteryStartSamples = (status === 'accepted' && data.batteryPercentStart != null) ? 1 : 0;
+        const initialBatteryStartSum = (status === 'accepted' && data.batteryPercentStart != null) ? Number(data.batteryPercentStart) : 0;
+        const initialBatteryEndSamples = (status === 'accepted' && data.batteryPercentEnd != null) ? 1 : 0;
+        const initialBatteryEndSum = (status === 'accepted' && data.batteryPercentEnd != null) ? Number(data.batteryPercentEnd) : 0;
+        const initialBatteryDropSamples = (status === 'accepted' && data.batteryPercentDrop != null) ? 1 : 0;
+        const initialBatteryDropSum = (status === 'accepted' && data.batteryPercentDrop != null) ? Number(data.batteryPercentDrop) : 0;
+        const initialSampleCountSamples = (status === 'accepted' && data.sampleCount != null) ? 1 : 0;
+        const initialSampleCountSum = (status === 'accepted' && data.sampleCount != null) ? Number(data.sampleCount) : 0;
+        const initialMonitorDurationSamples = (status === 'accepted' && data.monitorDurationMs != null) ? 1 : 0;
+        const initialMonitorDurationSum = (status === 'accepted' && data.monitorDurationMs != null) ? Number(data.monitorDurationMs) : 0;
         return tx.benchmark.create({
           data: {
             cpuModel: key.cpuModel,
-            gpuModel: gpuModelValue, // Use '' for no GPU so compound unique matches findUnique(key)
+            gpuModel: gpuModelValue,
             ramGB: key.ramGB,
             os: key.os,
             codec: key.codec,
             preset: key.preset,
             crf: key.crf,
+            contentClass: key.contentClass,
+            resolution: key.resolution,
+            passes: key.passes,
             fps: data.fps,
             vmaf: data.vmaf ?? null,
+            ssim: data.ssim ?? null,
+            psnr: data.psnr ?? null,
             fileSizeBytes: data.fileSizeBytes,
-            notes: data.notes || null,
-            status,
-            ffmpegVersion: data.ffmpegVersion || null,
-            encoderName: data.encoderName || null,
-            clientVersion: data.clientVersion || null,
+          notes: data.notes || null,
+          gpuUtilAvg: data.gpuUtilAvg != null ? Number(data.gpuUtilAvg) : null,
+          gpuPowerAvgW: data.gpuPowerAvgW != null ? Number(data.gpuPowerAvgW) : null,
+          gpuMemPeakMB: data.gpuMemPeakMB != null ? Number(data.gpuMemPeakMB) : null,
+          cpuUtilAvg: data.cpuUtilAvg != null ? Number(data.cpuUtilAvg) : null,
+          cpuUtilMax: data.cpuUtilMax != null ? Number(data.cpuUtilMax) : null,
+          peakMemoryMB: data.peakMemoryMB != null ? Number(data.peakMemoryMB) : null,
+          thermalThrottle: data.thermalThrottle ?? null,
+          gpuTempMaxC: data.gpuTempMaxC != null ? Number(data.gpuTempMaxC) : null,
+          cpuFreqAvgMHz: data.cpuFreqAvgMHz != null ? Number(data.cpuFreqAvgMHz) : null,
+          cpuTempMaxC: data.cpuTempMaxC != null ? Number(data.cpuTempMaxC) : null,
+          ffmpegCpuUtilAvg: data.ffmpegCpuUtilAvg != null ? Number(data.ffmpegCpuUtilAvg) : null,
+          ffmpegCpuUtilMax: data.ffmpegCpuUtilMax != null ? Number(data.ffmpegCpuUtilMax) : null,
+          ffmpegReadMB: data.ffmpegReadMB != null ? Number(data.ffmpegReadMB) : null,
+          ffmpegWriteMB: data.ffmpegWriteMB != null ? Number(data.ffmpegWriteMB) : null,
+          ffmpegCpuTimeS: data.ffmpegCpuTimeS != null ? Number(data.ffmpegCpuTimeS) : null,
+          batteryPercentStart: data.batteryPercentStart != null ? Number(data.batteryPercentStart) : null,
+          batteryPercentEnd: data.batteryPercentEnd != null ? Number(data.batteryPercentEnd) : null,
+          batteryPercentDrop: data.batteryPercentDrop != null ? Number(data.batteryPercentDrop) : null,
+          powerSource: data.powerSource ?? null,
+          sampleCount: data.sampleCount != null ? Number(data.sampleCount) : null,
+          monitorDurationMs: data.monitorDurationMs != null ? Number(data.monitorDurationMs) : null,
+          status,
+          ffmpegVersion: data.ffmpegVersion || null,
+          encoderName: data.encoderName || null,
+          clientVersion: data.clientVersion || null,
             inputHash: data.inputHash || null,
             runMs: data.runMs != null ? Number(data.runMs) : null,
             payloadHash,
             samples: initialSamples,
             vmafSamples: initialVmafSamples,
+            ssimSamples: initialSsimSamples,
+            psnrSamples: initialPsnrSamples,
+            fpsSum: initialFpsSum,
+            fileSizeSum: initialFileSizeSum,
+            vmafSum: initialVmafSum,
+            ssimSum: initialSsimSum,
+            psnrSum: initialPsnrSum,
+            gpuUtilSamples: initialGpuUtilSamples,
+            gpuUtilSum: initialGpuUtilSum,
+            gpuPowerSamples: initialGpuPowerSamples,
+            gpuPowerSum: initialGpuPowerSum,
+            cpuUtilSamples: initialCpuUtilSamples,
+            cpuUtilSum: initialCpuUtilSum,
+            peakMemoryMax: initialPeakMemoryMax,
+            cpuFreqSamples: initialCpuFreqSamples,
+            cpuFreqSum: initialCpuFreqSum,
+            ffmpegCpuUtilSamples: initialFfmpegCpuUtilSamples,
+            ffmpegCpuUtilSum: initialFfmpegCpuUtilSum,
+            ffmpegReadSamples: initialFfmpegReadSamples,
+            ffmpegReadSum: initialFfmpegReadSum,
+            ffmpegWriteSamples: initialFfmpegWriteSamples,
+            ffmpegWriteSum: initialFfmpegWriteSum,
+            ffmpegCpuTimeSamples: initialFfmpegCpuTimeSamples,
+            ffmpegCpuTimeSum: initialFfmpegCpuTimeSum,
+            batteryStartSamples: initialBatteryStartSamples,
+            batteryStartSum: initialBatteryStartSum,
+            batteryEndSamples: initialBatteryEndSamples,
+            batteryEndSum: initialBatteryEndSum,
+            batteryDropSamples: initialBatteryDropSamples,
+            batteryDropSum: initialBatteryDropSum,
+            sampleCountSamples: initialSampleCountSamples,
+            sampleCountSum: initialSampleCountSum,
+            monitorDurationSamples: initialMonitorDurationSamples,
+            monitorDurationSum: initialMonitorDurationSum,
           },
         });
       }
 
       // Only update aggregates for accepted submissions
       if (status !== 'accepted') {
-        // Non-accepted submissions don't change aggregates, just update status if needed
         const nextStatus = existing.status === 'accepted' ? 'accepted' : (existing.status ?? status);
         return tx.benchmark.update({
-          where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf: key },
+          where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key },
           data: { status: nextStatus },
         });
       }
 
-      // Accepted submission: update running averages
-      const prevSamples = existing.samples ?? 0;
-      const nextSamples = prevSamples + 1;
-      const prevFps = existing.fps ?? 0;
-      const prevFileSize = existing.fileSizeBytes ?? 0;
-      const nextFps = (prevFps * prevSamples + Number(data.fps)) / nextSamples;
-      const nextFileSize = Math.round((prevFileSize * prevSamples + Number(data.fileSizeBytes)) / nextSamples);
-
-      const prevVmafSamples = existing.vmafSamples ?? 0;
-      let nextVmafSamples = prevVmafSamples;
-      let nextVmaf: number | null = existing.vmaf ?? null;
-      if (data.vmaf != null) {
-        const prevVmafTotal = (existing.vmaf ?? 0) * prevVmafSamples;
-        nextVmafSamples = prevVmafSamples + 1;
-        nextVmaf = (prevVmafTotal + Number(data.vmaf)) / nextVmafSamples;
-      }
+      // Accepted submission: atomic increment using raw SQL to prevent race conditions (B-S02)
+      // and floating-point drift (B-S01). Sums accumulate exactly; averages are recomputed from sums.
+      const fpsVal = Number(data.fps);
+      const sizeVal = Number(data.fileSizeBytes);
+      const hasVmaf = data.vmaf != null;
+      const vmafVal = hasVmaf ? Number(data.vmaf) : 0;
+      const hasSsim = data.ssim != null;
+      const ssimVal = hasSsim ? Number(data.ssim) : 0;
+      const hasPsnr = data.psnr != null;
+      const psnrVal = hasPsnr ? Number(data.psnr) : 0;
+      const hasGpuUtil = data.gpuUtilAvg != null;
+      const gpuUtilVal = hasGpuUtil ? Number(data.gpuUtilAvg) : 0;
+      const hasGpuPower = data.gpuPowerAvgW != null;
+      const gpuPowerVal = hasGpuPower ? Number(data.gpuPowerAvgW) : 0;
+      const hasCpuUtil = data.cpuUtilAvg != null;
+      const cpuUtilVal = hasCpuUtil ? Number(data.cpuUtilAvg) : 0;
+      const hasPeakMem = data.peakMemoryMB != null;
+      const peakMemVal = hasPeakMem ? Number(data.peakMemoryMB) : 0;
+      const hasGpuTemp = data.gpuTempMaxC != null;
+      const gpuTempVal = hasGpuTemp ? Number(data.gpuTempMaxC) : 0;
+      const hasCpuFreq = data.cpuFreqAvgMHz != null;
+      const cpuFreqVal = hasCpuFreq ? Number(data.cpuFreqAvgMHz) : 0;
+      const hasCpuTemp = data.cpuTempMaxC != null;
+      const cpuTempVal = hasCpuTemp ? Number(data.cpuTempMaxC) : 0;
+      const hasFfmpegCpuUtilAvg = data.ffmpegCpuUtilAvg != null;
+      const ffmpegCpuUtilAvgVal = hasFfmpegCpuUtilAvg ? Number(data.ffmpegCpuUtilAvg) : 0;
+      const hasFfmpegCpuUtilMax = data.ffmpegCpuUtilMax != null;
+      const ffmpegCpuUtilMaxVal = hasFfmpegCpuUtilMax ? Number(data.ffmpegCpuUtilMax) : 0;
+      const hasFfmpegRead = data.ffmpegReadMB != null;
+      const ffmpegReadVal = hasFfmpegRead ? Number(data.ffmpegReadMB) : 0;
+      const hasFfmpegWrite = data.ffmpegWriteMB != null;
+      const ffmpegWriteVal = hasFfmpegWrite ? Number(data.ffmpegWriteMB) : 0;
+      const hasFfmpegCpuTime = data.ffmpegCpuTimeS != null;
+      const ffmpegCpuTimeVal = hasFfmpegCpuTime ? Number(data.ffmpegCpuTimeS) : 0;
+      const hasBatteryStart = data.batteryPercentStart != null;
+      const batteryStartVal = hasBatteryStart ? Number(data.batteryPercentStart) : 0;
+      const hasBatteryEnd = data.batteryPercentEnd != null;
+      const batteryEndVal = hasBatteryEnd ? Number(data.batteryPercentEnd) : 0;
+      const hasBatteryDrop = data.batteryPercentDrop != null;
+      const batteryDropVal = hasBatteryDrop ? Number(data.batteryPercentDrop) : 0;
+      const hasPowerSource = data.powerSource != null && data.powerSource.length > 0;
+      const powerSourceVal = hasPowerSource ? data.powerSource : '';
+      const hasSampleCount = data.sampleCount != null;
+      const sampleCountVal = hasSampleCount ? Number(data.sampleCount) : 0;
+      const hasMonitorDuration = data.monitorDurationMs != null;
+      const monitorDurationVal = hasMonitorDuration ? Number(data.monitorDurationMs) : 0;
 
-      return tx.benchmark.update({
-        where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf: key },
-        data: {
-          fps: nextFps,
-          fileSizeBytes: nextFileSize,
-          vmaf: nextVmaf,
-          samples: nextSamples,
-          vmafSamples: nextVmafSamples,
-          status: 'accepted',
-        },
-      });
+      await tx.$executeRaw`
+        UPDATE "Benchmark"
+        SET "samples" = "samples" + 1,
+            "fpsSum" = "fpsSum" + ${fpsVal}::double precision,
+            "fileSizeSum" = "fileSizeSum" + ${sizeVal}::double precision,
+            "vmafSamples" = "vmafSamples" + ${hasVmaf ? 1 : 0},
+            "vmafSum" = "vmafSum" + ${vmafVal}::double precision,
+            "ssimSamples" = "ssimSamples" + ${hasSsim ? 1 : 0},
+            "ssimSum" = "ssimSum" + ${ssimVal}::double precision,
+            "psnrSamples" = "psnrSamples" + ${hasPsnr ? 1 : 0},
+            "psnrSum" = "psnrSum" + ${psnrVal}::double precision,
+            "gpuUtilSamples" = "gpuUtilSamples" + ${hasGpuUtil ? 1 : 0},
+            "gpuUtilSum" = "gpuUtilSum" + ${gpuUtilVal}::double precision,
+            "gpuPowerSamples" = "gpuPowerSamples" + ${hasGpuPower ? 1 : 0},
+            "gpuPowerSum" = "gpuPowerSum" + ${gpuPowerVal}::double precision,
+            "cpuUtilSamples" = "cpuUtilSamples" + ${hasCpuUtil ? 1 : 0},
+            "cpuUtilSum" = "cpuUtilSum" + ${cpuUtilVal}::double precision,
+            "cpuFreqSamples" = "cpuFreqSamples" + ${hasCpuFreq ? 1 : 0},
+            "cpuFreqSum" = "cpuFreqSum" + ${cpuFreqVal}::double precision,
+            "ffmpegCpuUtilSamples" = "ffmpegCpuUtilSamples" + ${hasFfmpegCpuUtilAvg ? 1 : 0},
+            "ffmpegCpuUtilSum" = "ffmpegCpuUtilSum" + ${ffmpegCpuUtilAvgVal}::double precision,
+            "ffmpegReadSamples" = "ffmpegReadSamples" + ${hasFfmpegRead ? 1 : 0},
+            "ffmpegReadSum" = "ffmpegReadSum" + ${ffmpegReadVal}::double precision,
+            "ffmpegWriteSamples" = "ffmpegWriteSamples" + ${hasFfmpegWrite ? 1 : 0},
+            "ffmpegWriteSum" = "ffmpegWriteSum" + ${ffmpegWriteVal}::double precision,
+            "ffmpegCpuTimeSamples" = "ffmpegCpuTimeSamples" + ${hasFfmpegCpuTime ? 1 : 0},
+            "ffmpegCpuTimeSum" = "ffmpegCpuTimeSum" + ${ffmpegCpuTimeVal}::double precision,
+            "batteryStartSamples" = "batteryStartSamples" + ${hasBatteryStart ? 1 : 0},
+            "batteryStartSum" = "batteryStartSum" + ${batteryStartVal}::double precision,
+            "batteryEndSamples" = "batteryEndSamples" + ${hasBatteryEnd ? 1 : 0},
+            "batteryEndSum" = "batteryEndSum" + ${batteryEndVal}::double precision,
+            "batteryDropSamples" = "batteryDropSamples" + ${hasBatteryDrop ? 1 : 0},
+            "batteryDropSum" = "batteryDropSum" + ${batteryDropVal}::double precision,
+            "sampleCountSamples" = "sampleCountSamples" + ${hasSampleCount ? 1 : 0},
+            "sampleCountSum" = "sampleCountSum" + ${sampleCountVal}::double precision,
+            "monitorDurationSamples" = "monitorDurationSamples" + ${hasMonitorDuration ? 1 : 0},
+            "monitorDurationSum" = "monitorDurationSum" + ${monitorDurationVal}::double precision,
+            "peakMemoryMax" = CASE
+              WHEN ${hasPeakMem} AND (${peakMemVal}::double precision > COALESCE("peakMemoryMax", 0))
+              THEN ${peakMemVal}::double precision
+              ELSE "peakMemoryMax"
+            END,
+            "fps" = ("fpsSum" + ${fpsVal}::double precision) / ("samples" + 1),
+            "fileSizeBytes" = CAST(ROUND(("fileSizeSum" + ${sizeVal}::double precision) / ("samples" + 1)) AS BIGINT),
+            "vmaf" = CASE
+              WHEN "vmafSamples" + ${hasVmaf ? 1 : 0} > 0
+              THEN ("vmafSum" + ${vmafVal}::double precision) / ("vmafSamples" + ${hasVmaf ? 1 : 0})
+              ELSE "vmaf"
+            END,
+            "ssim" = CASE
+              WHEN "ssimSamples" + ${hasSsim ? 1 : 0} > 0
+              THEN ("ssimSum" + ${ssimVal}::double precision) / ("ssimSamples" + ${hasSsim ? 1 : 0})
+              ELSE "ssim"
+            END,
+            "psnr" = CASE
+              WHEN "psnrSamples" + ${hasPsnr ? 1 : 0} > 0
+              THEN ("psnrSum" + ${psnrVal}::double precision) / ("psnrSamples" + ${hasPsnr ? 1 : 0})
+              ELSE "psnr"
+            END,
+            "gpuUtilAvg" = CASE
+              WHEN "gpuUtilSamples" + ${hasGpuUtil ? 1 : 0} > 0
+              THEN ("gpuUtilSum" + ${gpuUtilVal}::double precision) / ("gpuUtilSamples" + ${hasGpuUtil ? 1 : 0})
+              ELSE "gpuUtilAvg"
+            END,
+            "gpuPowerAvgW" = CASE
+              WHEN "gpuPowerSamples" + ${hasGpuPower ? 1 : 0} > 0
+              THEN ("gpuPowerSum" + ${gpuPowerVal}::double precision) / ("gpuPowerSamples" + ${hasGpuPower ? 1 : 0})
+              ELSE "gpuPowerAvgW"
+            END,
+            "cpuUtilAvg" = CASE
+              WHEN "cpuUtilSamples" + ${hasCpuUtil ? 1 : 0} > 0
+              THEN ("cpuUtilSum" + ${cpuUtilVal}::double precision) / ("cpuUtilSamples" + ${hasCpuUtil ? 1 : 0})
+              ELSE "cpuUtilAvg"
+            END,
+            "gpuTempMaxC" = CASE
+              WHEN ${hasGpuTemp} AND (${gpuTempVal}::double precision > COALESCE("gpuTempMaxC", 0))
+              THEN ${gpuTempVal}::double precision
+              ELSE "gpuTempMaxC"
+            END,
+            "cpuFreqAvgMHz" = CASE
+              WHEN "cpuFreqSamples" + ${hasCpuFreq ? 1 : 0} > 0
+              THEN ("cpuFreqSum" + ${cpuFreqVal}::double precision) / ("cpuFreqSamples" + ${hasCpuFreq ? 1 : 0})
+              ELSE "cpuFreqAvgMHz"
+            END,
+            "cpuTempMaxC" = CASE
+              WHEN ${hasCpuTemp} AND (${cpuTempVal}::double precision > COALESCE("cpuTempMaxC", 0))
+              THEN ${cpuTempVal}::double precision
+              ELSE "cpuTempMaxC"
+            END,
+            "ffmpegCpuUtilAvg" = CASE
+              WHEN "ffmpegCpuUtilSamples" + ${hasFfmpegCpuUtilAvg ? 1 : 0} > 0
+              THEN ("ffmpegCpuUtilSum" + ${ffmpegCpuUtilAvgVal}::double precision) / ("ffmpegCpuUtilSamples" + ${hasFfmpegCpuUtilAvg ? 1 : 0})
+              ELSE "ffmpegCpuUtilAvg"
+            END,
+            "ffmpegCpuUtilMax" = CASE
+              WHEN ${hasFfmpegCpuUtilMax} AND (${ffmpegCpuUtilMaxVal}::double precision > COALESCE("ffmpegCpuUtilMax", 0))
+              THEN ${ffmpegCpuUtilMaxVal}::double precision
+              ELSE "ffmpegCpuUtilMax"
+            END,
+            "ffmpegReadMB" = CASE
+              WHEN "ffmpegReadSamples" + ${hasFfmpegRead ? 1 : 0} > 0
+              THEN ("ffmpegReadSum" + ${ffmpegReadVal}::double precision) / ("ffmpegReadSamples" + ${hasFfmpegRead ? 1 : 0})
+              ELSE "ffmpegReadMB"
+            END,
+            "ffmpegWriteMB" = CASE
+              WHEN "ffmpegWriteSamples" + ${hasFfmpegWrite ? 1 : 0} > 0
+              THEN ("ffmpegWriteSum" + ${ffmpegWriteVal}::double precision) / ("ffmpegWriteSamples" + ${hasFfmpegWrite ? 1 : 0})
+              ELSE "ffmpegWriteMB"
+            END,
+            "ffmpegCpuTimeS" = CASE
+              WHEN "ffmpegCpuTimeSamples" + ${hasFfmpegCpuTime ? 1 : 0} > 0
+              THEN ("ffmpegCpuTimeSum" + ${ffmpegCpuTimeVal}::double precision) / ("ffmpegCpuTimeSamples" + ${hasFfmpegCpuTime ? 1 : 0})
+              ELSE "ffmpegCpuTimeS"
+            END,
+            "batteryPercentStart" = CASE
+              WHEN "batteryStartSamples" + ${hasBatteryStart ? 1 : 0} > 0
+              THEN ("batteryStartSum" + ${batteryStartVal}::double precision) / ("batteryStartSamples" + ${hasBatteryStart ? 1 : 0})
+              ELSE "batteryPercentStart"
+            END,
+            "batteryPercentEnd" = CASE
+              WHEN "batteryEndSamples" + ${hasBatteryEnd ? 1 : 0} > 0
+              THEN ("batteryEndSum" + ${batteryEndVal}::double precision) / ("batteryEndSamples" + ${hasBatteryEnd ? 1 : 0})
+              ELSE "batteryPercentEnd"
+            END,
+            "batteryPercentDrop" = CASE
+              WHEN "batteryDropSamples" + ${hasBatteryDrop ? 1 : 0} > 0
+              THEN ("batteryDropSum" + ${batteryDropVal}::double precision) / ("batteryDropSamples" + ${hasBatteryDrop ? 1 : 0})
+              ELSE "batteryPercentDrop"
+            END,
+            "powerSource" = CASE
+              WHEN ${hasPowerSource}
+              THEN ${powerSourceVal}
+              ELSE "powerSource"
+            END,
+            "sampleCount" = CASE
+              WHEN "sampleCountSamples" + ${hasSampleCount ? 1 : 0} > 0
+              THEN ("sampleCountSum" + ${sampleCountVal}::double precision) / ("sampleCountSamples" + ${hasSampleCount ? 1 : 0})
+              ELSE "sampleCount"
+            END,
+            "monitorDurationMs" = CASE
+              WHEN "monitorDurationSamples" + ${hasMonitorDuration ? 1 : 0} > 0
+              THEN ("monitorDurationSum" + ${monitorDurationVal}::double precision) / ("monitorDurationSamples" + ${hasMonitorDuration ? 1 : 0})
+              ELSE "monitorDurationMs"
+            END,
+            "status" = 'accepted',
+            "updatedAt" = NOW()
+        WHERE "cpuModel" = ${key.cpuModel}
+          AND "gpuModel" = ${key.gpuModel}
+          AND "ramGB" = ${key.ramGB}
+          AND "os" = ${key.os}
+          AND "codec" = ${key.codec}
+          AND "preset" = ${key.preset}
+          AND "crf" = ${key.crf}
+          AND "contentClass" = ${key.contentClass}
+          AND "resolution" = ${key.resolution}
+          AND "passes" = ${key.passes}
+      `;
+
+      // Return the updated row
+      const updated = await tx.benchmark.findUnique({ where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key } });
+      if (!updated) throw new Error('Row disappeared after atomic update');
+      return updated;
     });
 
+    invalidateQueryCache();
     res.status(createdNew ? 201 : 200).json(row);
   } catch (err) {
     const errCode = (err as { code?: string })?.code;
@@ -318,20 +790,183 @@ router.all('/query', (req, res, next) => {
   return res.status(405).json({ error: 'Method Not Allowed' });
 });
 
+// In-memory query cache with TTL (S-03)
+const QUERY_CACHE_TTL_MS = 30_000; // 30 seconds
+const parsedDefaultQueryLimit = Number(process.env.QUERY_DEFAULT_LIMIT || 100);
+export const DEFAULT_QUERY_LIMIT = Number.isFinite(parsedDefaultQueryLimit) && parsedDefaultQueryLimit > 0
+  ? Math.min(Math.trunc(parsedDefaultQueryLimit), 500)
+  : 100;
+let queryCacheData: unknown = null;
+let queryCacheKey: string = '';
+let queryCacheExpiry: number = 0;
+let queryCacheTotalCount: number | null = null;
+
+function invalidateQueryCache(): void {
+  queryCacheData = null;
+  queryCacheKey = '';
+  queryCacheExpiry = 0;
+  queryCacheTotalCount = null;
+}
+
+// Whitelist of allowed sort fields to prevent injection
+const SORT_WHITELIST = new Set([
+  'createdAt', 'fps', 'vmaf', 'ssim', 'psnr', 'fileSizeBytes', 'codec', 'cpuModel',
+  'gpuUtilAvg', 'gpuPowerAvgW', 'cpuUtilAvg',
+  'gpuTempMaxC', 'cpuTempMaxC', 'ffmpegCpuUtilAvg',
+  'batteryPercentDrop', 'sampleCount', 'monitorDurationMs',
+]);
+
+function numberParam(query: Record<string, string | undefined>, key: string): number | undefined {
+  const raw = query[key];
+  if (raw == null || raw === '') return undefined;
+  const n = Number(raw);
+  return Number.isFinite(n) ? n : undefined;
+}
+
+function booleanParam(query: Record<string, string | undefined>, key: string): boolean | undefined {
+  const raw = query[key];
+  if (!raw) return undefined;
+  const v = raw.trim().toLowerCase();
+  if (v === '1' || v === 'true' || v === 'yes') return true;
+  if (v === '0' || v === 'false' || v === 'no') return false;
+  return undefined;
+}
+
+function applyRangeFilter(
+  where: Record<string, unknown>,
+  query: Record<string, string | undefined>,
+  field: string,
+  opts?: { minKey?: string; maxKey?: string; integer?: boolean },
+): void {
+  const minKey = opts?.minKey ?? `${field}Min`;
+  const maxKey = opts?.maxKey ?? `${field}Max`;
+  let min = numberParam(query, minKey);
+  let max = numberParam(query, maxKey);
+  if (opts?.integer) {
+    if (min != null) min = Math.trunc(min);
+    if (max != null) max = Math.trunc(max);
+  }
+  if (min == null && max == null) return;
+  if (min != null && max != null && min > max) {
+    const t = min;
+    min = max;
+    max = t;
+  }
+  const range: Record<string, number> = {};
+  if (min != null) range.gte = min;
+  if (max != null) range.lte = max;
+  where[field] = range;
+}
+
 router.get('/query', async (req, res) => {
   try {
-    const query = req.query as { limit?: string; skip?: string };
+    const query = req.query as Record<string, string | undefined>;
     const rawLimit = Number(query.limit);
     const rawSkip = Number(query.skip);
-    const take = Number.isFinite(rawLimit) && rawLimit > 0 ? Math.min(rawLimit, 500) : undefined;
+    const take = Number.isFinite(rawLimit) && rawLimit > 0 ? Math.min(rawLimit, 500) : DEFAULT_QUERY_LIMIT;
     const skip = Number.isFinite(rawSkip) && rawSkip > 0 ? rawSkip : undefined;
 
-    const rows = await prisma.benchmark.findMany({
-      where: { status: 'accepted' },
-      orderBy: { createdAt: 'desc' },
-      ...(typeof take === 'number' ? { take } : {}),
-      ...(typeof skip === 'number' ? { skip } : {}),
+    const where: Record<string, unknown> = { status: 'accepted' };
+    if (query.contentClass && VALID_CONTENT_CLASSES.includes(query.contentClass as typeof VALID_CONTENT_CLASSES[number])) {
+      where.contentClass = query.contentClass;
+    }
+    if (query.resolution && VALID_RESOLUTIONS.includes(query.resolution as typeof VALID_RESOLUTIONS[number])) {
+      where.resolution = query.resolution;
+    }
+    if (query.passes) {
+      const p = Number(query.passes);
+      if (p === 1 || p === 2) where.passes = p;
+    }
+    // Sprint 4: additional filters
+    if (query.codec) where.codec = query.codec;
+    if (query.codecSearch) where.codec = { contains: query.codecSearch, mode: 'insensitive' };
+    if (query.cpu) where.cpuModel = { contains: query.cpu, mode: 'insensitive' };
+    if (query.gpu) where.gpuModel = { contains: query.gpu, mode: 'insensitive' };
+    if (query.powerSource === 'ac' || query.powerSource === 'battery') {
+      where.powerSource = query.powerSource;
+    }
+    const throttle = booleanParam(query, 'thermalThrottle');
+    if (throttle != null) {
+      where.thermalThrottle = throttle;
+    }
+
+    // Numeric range filters (query by appending Min/Max suffixes)
+    applyRangeFilter(where, query, 'fps');
+    applyRangeFilter(where, query, 'vmaf');
+    applyRangeFilter(where, query, 'ssim');
+    applyRangeFilter(where, query, 'psnr');
+    applyRangeFilter(where, query, 'fileSizeBytes', { integer: true });
+    applyRangeFilter(where, query, 'runMs', { integer: true });
+
+    applyRangeFilter(where, query, 'gpuUtilAvg');
+    applyRangeFilter(where, query, 'gpuPowerAvgW');
+    applyRangeFilter(where, query, 'gpuMemPeakMB');
+    applyRangeFilter(where, query, 'cpuUtilAvg');
+    applyRangeFilter(where, query, 'cpuUtilMax');
+    applyRangeFilter(where, query, 'peakMemoryMB');
+    applyRangeFilter(where, query, 'gpuTempMaxC');
+    applyRangeFilter(where, query, 'cpuFreqAvgMHz');
+    applyRangeFilter(where, query, 'cpuTempMaxC');
+    applyRangeFilter(where, query, 'ffmpegCpuUtilAvg');
+    applyRangeFilter(where, query, 'ffmpegCpuUtilMax');
+    applyRangeFilter(where, query, 'ffmpegReadMB');
+    applyRangeFilter(where, query, 'ffmpegWriteMB');
+    applyRangeFilter(where, query, 'ffmpegCpuTimeS');
+    applyRangeFilter(where, query, 'batteryPercentStart');
+    applyRangeFilter(where, query, 'batteryPercentEnd');
+    applyRangeFilter(where, query, 'batteryPercentDrop');
+    applyRangeFilter(where, query, 'sampleCount');
+    applyRangeFilter(where, query, 'monitorDurationMs');
+
+    // Build orderBy with whitelist validation
+    let orderBy: Record<string, string> = { createdAt: 'desc' };
+    if (query.sort && SORT_WHITELIST.has(query.sort)) {
+      const dir = query.dir === 'asc' ? 'asc' : 'desc';
+      orderBy = { [query.sort]: dir };
+    }
+
+    // Cache key includes all filter params and whether total count was requested.
+    const wantTotal = query.total === '1';
+    const cacheKey = JSON.stringify({ take, skip, where, orderBy, wantTotal });
+    const now = Date.now();
+    if (queryCacheData && queryCacheKey === cacheKey && queryCacheExpiry > now) {
+      if (wantTotal && queryCacheTotalCount != null) {
+        res.setHeader('X-Total-Count', String(queryCacheTotalCount));
+      }
+      return res.json(queryCacheData);
+    }
+
+    // Run query and optional count in parallel
+    const [rawRows, totalCount] = await Promise.all([
+      prisma.benchmark.findMany({
+        where,
+        orderBy,
+        take,
+        ...(typeof skip === 'number' ? { skip } : {}),
+      }),
+      wantTotal ? prisma.benchmark.count({ where }) : Promise.resolve(null),
+    ]);
+
+    // Compute derived efficiency metrics (Sprint 6)
+    const rows = rawRows.map((row: BenchmarkRow) => {
+      const fpsPerWatt = (row.fps > 0 && row.gpuPowerAvgW != null && row.gpuPowerAvgW > 0)
+        ? Math.round((row.fps / row.gpuPowerAvgW) * 100) / 100
+        : null;
+      const qualityPerWatt = (row.vmaf != null && row.gpuPowerAvgW != null && row.gpuPowerAvgW > 0)
+        ? Math.round((row.vmaf / row.gpuPowerAvgW) * 100) / 100
+        : null;
+      return { ...row, fpsPerWatt, qualityPerWatt };
     });
+
+    queryCacheData = rows;
+    queryCacheKey = cacheKey;
+    queryCacheExpiry = now + QUERY_CACHE_TTL_MS;
+    queryCacheTotalCount = totalCount;
+
+    if (totalCount != null) {
+      res.setHeader('X-Total-Count', String(totalCount));
+    }
+
     res.json(rows);
   } catch (err) {
     logError('GET /query', err);
@@ -339,6 +974,18 @@ router.get('/query', async (req, res) => {
   }
 });
 
-export default router;
+// Test video catalog (Sprint 5)
+export const TEST_VIDEO_CATALOG = [
+  { name: 'sample.mp4', contentClass: 'mixed', resolution: '1080p', duration: 20.0, sha256: '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8', sizeBytes: 66045059 },
+];
 
+router.get('/test-videos', (_req, res) => {
+  const baseUrl = 'https://github.com/oliverdougherC/Encoding_Database/releases/download/test-clips-v1';
+  const catalog = TEST_VIDEO_CATALOG.map(v => ({
+    ...v,
+    downloadUrl: `${baseUrl}/${v.name}`,
+  }));
+  res.json(catalog);
+});
 
+export default router;
diff --git a/server/src/seedDummyDatabase.ts b/server/src/seedDummyDatabase.ts
new file mode 100644
index 0000000..7522c76
--- /dev/null
+++ b/server/src/seedDummyDatabase.ts
@@ -0,0 +1,345 @@
+import { PrismaClient, type Prisma } from '@prisma/client';
+
+const prisma = new PrismaClient();
+
+const CONTENT_CLASSES = ['mixed', 'talkingHead', 'action', 'animation', 'screen', 'nature', 'gaming'] as const;
+const RESOLUTIONS = ['480p', '720p', '1080p', '1440p', '4k'] as const;
+
+const CPU_MODELS = [
+  'AMD Ryzen 9 7950X',
+  'AMD Ryzen 7 7800X3D',
+  'AMD Ryzen 5 7600',
+  'Intel Core i9-14900K',
+  'Intel Core i7-14700K',
+  'Intel Core i5-13600K',
+  'Apple M3 Max',
+  'Apple M2 Pro',
+  'Intel Xeon Gold 6226R',
+  'AMD EPYC 7543',
+];
+
+const GPU_MODELS = [
+  '',
+  'NVIDIA GeForce RTX 4090',
+  'NVIDIA GeForce RTX 4070',
+  'NVIDIA GeForce RTX 3060',
+  'AMD Radeon RX 7900 XTX',
+  'AMD Radeon RX 6800',
+  'Intel Arc A770',
+  'Intel Iris Xe',
+  'Apple M3 Max GPU',
+];
+
+const OPERATING_SYSTEMS = [
+  'Windows 11 23H2',
+  'Ubuntu 24.04 LTS',
+  'Fedora 41',
+  'macOS 15.1',
+];
+
+const CODECS = [
+  'libx264',
+  'libx265',
+  'libsvtav1',
+  'h264_qsv',
+  'hevc_qsv',
+  'h264_videotoolbox',
+  'hevc_videotoolbox',
+  'h264_nvenc',
+  'hevc_nvenc',
+  'av1_nvenc',
+  'h264_amf',
+  'hevc_amf',
+];
+
+const PRESETS = [
+  'ultrafast',
+  'veryfast',
+  'faster',
+  'fast',
+  'medium',
+  'slow',
+  'veryslow',
+  'p3',
+  'p4',
+  'p5',
+  'p6',
+  'p7',
+  'balanced',
+  'quality',
+  'speed',
+  'hq',
+];
+
+const CRFS = [18, 22, 26, 30];
+const PASSES = [1, 2];
+
+const FPS_CODEC_FACTOR: Record<string, number> = {
+  libx264: 1.0,
+  libx265: 0.57,
+  libsvtav1: 0.46,
+  h264_qsv: 1.72,
+  hevc_qsv: 1.22,
+  h264_videotoolbox: 1.58,
+  hevc_videotoolbox: 1.18,
+  h264_nvenc: 2.05,
+  hevc_nvenc: 1.35,
+  av1_nvenc: 0.88,
+  h264_amf: 1.52,
+  hevc_amf: 1.08,
+};
+
+const QUALITY_CODEC_BONUS: Record<string, number> = {
+  libx264: 0.6,
+  libx265: 2.0,
+  libsvtav1: 2.3,
+  h264_qsv: -0.2,
+  hevc_qsv: 0.9,
+  h264_videotoolbox: -0.4,
+  hevc_videotoolbox: 0.7,
+  h264_nvenc: -0.4,
+  hevc_nvenc: 1.1,
+  av1_nvenc: 1.8,
+  h264_amf: -0.1,
+  hevc_amf: 0.8,
+};
+
+const SIZE_CODEC_FACTOR: Record<string, number> = {
+  libx264: 1.0,
+  libx265: 0.75,
+  libsvtav1: 0.69,
+  h264_qsv: 0.99,
+  hevc_qsv: 0.81,
+  h264_videotoolbox: 1.06,
+  hevc_videotoolbox: 0.87,
+  h264_nvenc: 1.05,
+  hevc_nvenc: 0.84,
+  av1_nvenc: 0.72,
+  h264_amf: 1.04,
+  hevc_amf: 0.86,
+};
+
+const FPS_PRESET_FACTOR: Record<string, number> = {
+  ultrafast: 1.35,
+  veryfast: 1.24,
+  faster: 1.20,
+  fast: 1.16,
+  medium: 1.0,
+  slow: 0.8,
+  veryslow: 0.64,
+  p3: 1.18,
+  p4: 1.08,
+  p5: 1.0,
+  p6: 0.9,
+  p7: 0.82,
+  balanced: 1.0,
+  quality: 0.86,
+  speed: 1.18,
+  hq: 0.88,
+};
+
+const RESOLUTION_SPEED_FACTOR: Record<string, number> = {
+  '480p': 2.0,
+  '720p': 1.45,
+  '1080p': 1.0,
+  '1440p': 0.63,
+  '4k': 0.31,
+};
+
+const BASE_SIZE_MB: Record<string, number> = {
+  '480p': 24,
+  '720p': 48,
+  '1080p': 92,
+  '1440p': 145,
+  '4k': 285,
+};
+
+function jitter(seed: number): number {
+  const x = Math.sin(seed * 12.9898) * 43758.5453123;
+  return x - Math.floor(x);
+}
+
+function clamp(value: number, min: number, max: number): number {
+  return Math.max(min, Math.min(max, value));
+}
+
+function round2(value: number): number {
+  return Math.round(value * 100) / 100;
+}
+
+function round4(value: number): number {
+  return Math.round(value * 10_000) / 10_000;
+}
+
+function pickBySeed<T>(items: readonly T[], seed: number, salt: number): T {
+  const noise = jitter(seed * (salt + 1.73) + salt * 31.4159);
+  const index = Math.floor(noise * items.length) % items.length;
+  return items[index]!;
+}
+
+function readBooleanEnv(name: string): boolean {
+  const value = String(process.env[name] || '').trim().toLowerCase();
+  return value === '1' || value === 'true' || value === 'yes' || value === 'on';
+}
+
+function readCountEnv(name: string, fallback: number): number {
+  const raw = Number(process.env[name]);
+  if (!Number.isFinite(raw) || raw <= 0) return fallback;
+  return Math.floor(raw);
+}
+
+function cpuToRam(cpuModel: string): number {
+  if (cpuModel.includes('EPYC') || cpuModel.includes('Xeon')) return 64;
+  if (cpuModel.includes('i9') || cpuModel.includes('7950X') || cpuModel.includes('M3 Max')) return 32;
+  if (cpuModel.includes('i7') || cpuModel.includes('7800X3D') || cpuModel.includes('M2 Pro')) return 24;
+  return 16;
+}
+
+function gpuToSpeedFactor(gpuModel: string): number {
+  if (!gpuModel) return 0.72;
+  if (gpuModel.includes('4090')) return 2.3;
+  if (gpuModel.includes('4070')) return 1.85;
+  if (gpuModel.includes('3060')) return 1.45;
+  if (gpuModel.includes('7900')) return 1.95;
+  if (gpuModel.includes('6800')) return 1.55;
+  if (gpuModel.includes('A770')) return 1.4;
+  if (gpuModel.includes('Iris')) return 0.95;
+  if (gpuModel.includes('Apple')) return 1.35;
+  return 1.0;
+}
+
+function gpuToPowerBase(gpuModel: string): number {
+  if (!gpuModel) return 18;
+  if (gpuModel.includes('4090')) return 285;
+  if (gpuModel.includes('4070')) return 195;
+  if (gpuModel.includes('3060')) return 148;
+  if (gpuModel.includes('7900')) return 305;
+  if (gpuModel.includes('6800')) return 215;
+  if (gpuModel.includes('A770')) return 188;
+  if (gpuModel.includes('Iris')) return 42;
+  if (gpuModel.includes('Apple')) return 60;
+  return 130;
+}
+
+function buildRow(index: number): Prisma.BenchmarkCreateManyInput {
+  const seed = index + 1;
+  const cpuModel = pickBySeed(CPU_MODELS, seed, 3);
+  const gpuModel = pickBySeed(GPU_MODELS, seed, 5);
+  const os = OPERATING_SYSTEMS[(index * 7 + 1) % OPERATING_SYSTEMS.length]!;
+  const codec = CODECS[(index * 11 + 3) % CODECS.length]!;
+  const preset = PRESETS[(index * 13 + 5) % PRESETS.length]!;
+  const crf = CRFS[(index * 17 + 2) % CRFS.length]!;
+  const contentClass = CONTENT_CLASSES[index % CONTENT_CLASSES.length]!;
+  const resolution = RESOLUTIONS[Math.floor(index / CONTENT_CLASSES.length) % RESOLUTIONS.length]!;
+  const passes = PASSES[Math.floor(index / (CONTENT_CLASSES.length * RESOLUTIONS.length)) % PASSES.length]!;
+
+  const gpuSpeed = gpuToSpeedFactor(gpuModel);
+  const codecSpeed = FPS_CODEC_FACTOR[codec] ?? 1;
+  const presetSpeed = FPS_PRESET_FACTOR[preset] ?? 1;
+  const resolutionSpeed = RESOLUTION_SPEED_FACTOR[resolution] ?? 1;
+  const passSpeed = passes === 2 ? 0.66 : 1.0;
+  const crfSpeed = 1 + (crf - 24) * 0.018;
+  const baseFps = 36 * gpuSpeed * codecSpeed * presetSpeed * resolutionSpeed * passSpeed * crfSpeed;
+  const fps = round2(clamp(baseFps * (0.9 + jitter(seed) * 0.2), 4, 420));
+
+  const qualityBase = 95 - (crf - 18) * 1.5 + (QUALITY_CODEC_BONUS[codec] ?? 0) + (passes === 2 ? 0.9 : 0) + (jitter(seed + 7) - 0.5) * 2.4;
+  const vmaf = round2(clamp(qualityBase, 50, 99.5));
+  const ssim = round4(clamp(0.81 + (vmaf - 60) * 0.0044 + (jitter(seed + 11) - 0.5) * 0.008, 0.72, 0.999));
+  const psnr = round2(clamp(24 + (vmaf - 60) * 0.42 + (jitter(seed + 13) - 0.5) * 1.8, 20, 56));
+
+  const sizeBase = (BASE_SIZE_MB[resolution] ?? 100) * (SIZE_CODEC_FACTOR[codec] ?? 1);
+  const crfScale = 1 - (crf - 24) * 0.04;
+  const passScale = passes === 2 ? 0.92 : 1.0;
+  const sizeMb = sizeBase * crfScale * passScale * (0.9 + jitter(seed + 17) * 0.2);
+  const fileSizeBytes = Math.max(120_000, Math.round(sizeMb * 1024 * 1024));
+
+  const samples = 3 + Math.floor(jitter(seed + 19) * 10);
+  const gpuUtilAvg = gpuModel ? round2(clamp(48 + jitter(seed + 23) * 42, 15, 99)) : null;
+  const gpuPowerAvgW = gpuModel ? round2(gpuToPowerBase(gpuModel) * (0.78 + jitter(seed + 29) * 0.34)) : null;
+  const gpuMemPeakMB = gpuModel ? Math.round(1200 + jitter(seed + 31) * 6800) : null;
+  const cpuUtilAvg = round2(clamp(35 + jitter(seed + 37) * 58, 10, 100));
+  const cpuUtilMax = round2(clamp(cpuUtilAvg + 6 + jitter(seed + 41) * 26, cpuUtilAvg, 100));
+  const peakMemoryMB = Math.round(900 + jitter(seed + 43) * 5200);
+  const thermalThrottle = jitter(seed + 47) > 0.94;
+
+  return {
+    cpuModel,
+    gpuModel,
+    ramGB: cpuToRam(cpuModel),
+    os,
+    codec,
+    preset,
+    crf,
+    contentClass,
+    resolution,
+    passes,
+    fps,
+    vmaf,
+    ssim,
+    psnr,
+    fileSizeBytes,
+    notes: `Dummy benchmark row #${index + 1}`,
+    gpuUtilAvg,
+    gpuPowerAvgW,
+    gpuMemPeakMB,
+    cpuUtilAvg,
+    cpuUtilMax,
+    peakMemoryMB,
+    thermalThrottle,
+    samples,
+    vmafSamples: samples,
+    fpsSum: round2(fps * samples),
+    fileSizeSum: round2(fileSizeBytes * samples),
+    vmafSum: round2(vmaf * samples),
+    ssimSamples: samples,
+    ssimSum: round4(ssim * samples),
+    psnrSamples: samples,
+    psnrSum: round2(psnr * samples),
+    gpuUtilSamples: gpuUtilAvg == null ? 0 : samples,
+    gpuUtilSum: gpuUtilAvg == null ? 0 : round2(gpuUtilAvg * samples),
+    gpuPowerSamples: gpuPowerAvgW == null ? 0 : samples,
+    gpuPowerSum: gpuPowerAvgW == null ? 0 : round2(gpuPowerAvgW * samples),
+    cpuUtilSamples: samples,
+    cpuUtilSum: round2(cpuUtilAvg * samples),
+    peakMemoryMax: peakMemoryMB,
+    status: 'accepted',
+    ffmpegVersion: 'n7.0.2',
+    encoderName: codec,
+    clientVersion: 'dummy-seed-1.0',
+    inputHash: '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8',
+    runMs: Math.round((1000 / Math.max(fps, 1)) * 300),
+    payloadHash: `dummy_${index + 1}`,
+  };
+}
+
+async function main(): Promise<void> {
+  const enabled = readBooleanEnv('SEED_DUMMY_BENCHMARKS');
+  if (!enabled) {
+    console.log('[seed:dummy] Disabled (set SEED_DUMMY_BENCHMARKS=1 to enable).');
+    return;
+  }
+
+  const targetCount = Math.min(readCountEnv('SEED_DUMMY_BENCHMARKS_COUNT', 480), 5_000);
+  const rows: Prisma.BenchmarkCreateManyInput[] = [];
+  for (let i = 0; i < targetCount; i += 1) {
+    rows.push(buildRow(i));
+  }
+
+  const result = await prisma.benchmark.createMany({
+    data: rows,
+    skipDuplicates: true,
+  });
+
+  const total = await prisma.benchmark.count();
+  console.log(`[seed:dummy] Inserted ${result.count} rows (target ${targetCount}).`);
+  console.log(`[seed:dummy] Benchmark total in DB: ${total}.`);
+}
+
+main()
+  .catch((error: unknown) => {
+    console.error('[seed:dummy] Failed to seed dummy data:', error);
+    process.exitCode = 1;
+  })
+  .finally(async () => {
+    await prisma.$disconnect();
+  });
diff --git a/server/test/routes.smoke.test.js b/server/test/routes.smoke.test.js
new file mode 100644
index 0000000..f61d95f
--- /dev/null
+++ b/server/test/routes.smoke.test.js
@@ -0,0 +1,189 @@
+import test, { after } from 'node:test';
+import assert from 'node:assert/strict';
+import net from 'node:net';
+import express from 'express';
+import routes, { buildSubmissionPayloadHash, DEFAULT_QUERY_LIMIT, TEST_VIDEO_CATALOG } from '../dist/routes.js';
+import { prisma } from '../dist/db.js';
+
+process.env.DATABASE_URL ||= 'postgresql://app:app@localhost:5432/benchmarks?schema=public';
+
+const CAN_BIND_LOOPBACK = await new Promise((resolve) => {
+  const probe = net.createServer();
+  probe.once('error', () => resolve(false));
+  probe.listen(0, '127.0.0.1', () => {
+    probe.close(() => resolve(true));
+  });
+});
+
+async function startTestServer() {
+  const app = express();
+  app.use(express.json({ limit: '1mb' }));
+  app.use(routes);
+  const server = await new Promise((resolve) => {
+    const s = app.listen(0, '127.0.0.1', () => resolve(s));
+  });
+  const addr = server.address();
+  if (!addr || typeof addr === 'string') {
+    server.close();
+    throw new Error('Unexpected server address');
+  }
+  const baseUrl = `http://127.0.0.1:${addr.port}`;
+  return { server, baseUrl };
+}
+
+after(async () => {
+  // Ensure Prisma doesn't keep the event loop alive in unit tests
+  await prisma.$disconnect().catch(() => {});
+});
+
+test('GET /test-videos returns a catalog with downloadUrl', async (t) => {
+  if (!CAN_BIND_LOOPBACK) {
+    t.skip('Loopback listen is unavailable in this runtime');
+    return;
+  }
+  const { server, baseUrl } = await startTestServer();
+  try {
+    const res = await fetch(`${baseUrl}/test-videos`);
+    assert.equal(res.status, 200);
+    const data = await res.json();
+    assert.ok(Array.isArray(data));
+    assert.ok(data.length >= 1);
+
+    const sample = data.find((v) => v && v.name === 'sample.mp4');
+    assert.ok(sample, 'sample.mp4 should exist in catalog');
+    assert.equal(
+      sample.sha256,
+      '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8',
+    );
+    assert.equal(
+      sample.downloadUrl,
+      'https://github.com/oliverdougherC/Encoding_Database/releases/download/test-clips-v1/sample.mp4',
+    );
+  } finally {
+    await new Promise((resolve) => server.close(resolve));
+  }
+});
+
+test('Method guard: GET /submit is 405 with Allow=POST', async (t) => {
+  if (!CAN_BIND_LOOPBACK) {
+    t.skip('Loopback listen is unavailable in this runtime');
+    return;
+  }
+  const { server, baseUrl } = await startTestServer();
+  try {
+    const res = await fetch(`${baseUrl}/submit`, { method: 'GET' });
+    assert.equal(res.status, 405);
+    assert.equal(res.headers.get('allow'), 'POST');
+    const body = await res.json();
+    assert.equal(body.error, 'Method Not Allowed');
+  } finally {
+    await new Promise((resolve) => server.close(resolve));
+  }
+});
+
+test('Method guard: POST /query is 405 with Allow=GET, HEAD', async (t) => {
+  if (!CAN_BIND_LOOPBACK) {
+    t.skip('Loopback listen is unavailable in this runtime');
+    return;
+  }
+  const { server, baseUrl } = await startTestServer();
+  try {
+    const res = await fetch(`${baseUrl}/query`, {
+      method: 'POST',
+      headers: { 'content-type': 'application/json' },
+      body: JSON.stringify({}),
+    });
+    assert.equal(res.status, 405);
+    assert.equal(res.headers.get('allow'), 'GET, HEAD');
+    const body = await res.json();
+    assert.equal(body.error, 'Method Not Allowed');
+  } finally {
+    await new Promise((resolve) => server.close(resolve));
+  }
+});
+
+test('POST /submit rejects invalid payloads with 400', async (t) => {
+  if (!CAN_BIND_LOOPBACK) {
+    t.skip('Loopback listen is unavailable in this runtime');
+    return;
+  }
+  const { server, baseUrl } = await startTestServer();
+  try {
+    const res = await fetch(`${baseUrl}/submit`, {
+      method: 'POST',
+      headers: { 'content-type': 'application/json' },
+      body: JSON.stringify({}),
+    });
+    assert.equal(res.status, 400);
+    const body = await res.json();
+    assert.equal(body.error, 'Invalid payload');
+    assert.ok(body.details, 'Expected Zod error details');
+  } finally {
+    await new Promise((resolve) => server.close(resolve));
+  }
+});
+
+test('buildSubmissionPayloadHash changes when telemetry changes', () => {
+  const base = {
+    cpuModel: 'Intel Core i7-14700K',
+    gpuModel: 'NVIDIA RTX 4070',
+    ramGB: 32,
+    os: 'Windows 11',
+    codec: 'libx264',
+    preset: 'fast',
+    crf: 24,
+    contentClass: 'mixed',
+    resolution: '1080p',
+    passes: 1,
+    fps: 120.5,
+    vmaf: 95.3,
+    ssim: 0.98,
+    psnr: 41.2,
+    fileSizeBytes: 123_456_789,
+    notes: null,
+    ffmpegVersion: 'n7.0.2',
+    encoderName: 'libx264',
+    clientVersion: '1.0.0',
+    inputHash: '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8',
+    runMs: 123456,
+    gpuUtilAvg: 67.2,
+    gpuPowerAvgW: 210.4,
+    gpuMemPeakMB: 1820,
+    cpuUtilAvg: 82.4,
+    cpuUtilMax: 96.2,
+    peakMemoryMB: 2430,
+    thermalThrottle: false,
+    gpuTempMaxC: 74.1,
+    cpuFreqAvgMHz: 4850,
+    cpuTempMaxC: 87.3,
+    ffmpegCpuUtilAvg: 330.0,
+    ffmpegCpuUtilMax: 760.0,
+    ffmpegReadMB: 602.3,
+    ffmpegWriteMB: 401.7,
+    ffmpegCpuTimeS: 74.5,
+    batteryPercentStart: null,
+    batteryPercentEnd: null,
+    batteryPercentDrop: null,
+    powerSource: 'ac',
+    sampleCount: 320,
+    monitorDurationMs: 125000,
+  };
+  const variant = { ...base, cpuUtilMax: 99.1 };
+  const h1 = buildSubmissionPayloadHash(base, { contentClass: 'mixed', resolution: '1080p', passes: 1 });
+  const h2 = buildSubmissionPayloadHash(variant, { contentClass: 'mixed', resolution: '1080p', passes: 1 });
+  assert.notEqual(h1, h2);
+});
+
+test('DEFAULT_QUERY_LIMIT is sane', () => {
+  assert.ok(Number.isInteger(DEFAULT_QUERY_LIMIT));
+  assert.ok(DEFAULT_QUERY_LIMIT >= 1);
+  assert.ok(DEFAULT_QUERY_LIMIT <= 500);
+});
+
+test('TEST_VIDEO_CATALOG has no placeholders', () => {
+  assert.ok(TEST_VIDEO_CATALOG.length >= 1);
+  for (const row of TEST_VIDEO_CATALOG) {
+    assert.ok(typeof row.sha256 === 'string' && !row.sha256.startsWith('placeholder_'));
+    assert.ok(Number(row.sizeBytes) > 0);
+  }
+});

From 936bf6b2f4efe918a1865adfb7bbd709cba9d1ae Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Thu, 19 Feb 2026 11:16:54 -0800
Subject: [PATCH 3/7] readme updates

---
 README.md                                     | 370 ++++++++++++------
 frontend/app/analytics/page.tsx               |  56 +--
 frontend/app/api/hwlink/route.ts              |   6 +-
 frontend/app/api/query/route.ts               |  33 +-
 .../EncoderDashboardClient.tsx                |   3 +-
 frontend/app/compare-encoders/page.tsx        |   2 +-
 .../app/components/BenchmarksTable.module.css |  18 +-
 frontend/app/components/BenchmarksTable.tsx   | 162 ++++----
 frontend/app/components/ContentRadarChart.tsx |  23 +-
 frontend/app/components/CpuUtilHeatmap.tsx    |   5 +-
 frontend/app/components/EChart.tsx            |   5 +-
 frontend/app/components/EfficiencyChart.tsx   |   3 +-
 frontend/app/components/FpsByCodecChart.tsx   |   3 +-
 frontend/app/components/GpuUtilChart.tsx      |   3 +-
 .../app/components/GroupedSizeByPreset.tsx    |   3 +-
 .../app/components/HardwareRecommendation.tsx |  69 ++--
 .../app/components/PowerConsumptionChart.tsx  |   3 +-
 .../app/components/RateDistortionChart.tsx    |   3 +-
 .../components/ResolutionComparisonChart.tsx  |   3 +-
 frontend/app/components/ScatterFpsSize.tsx    |   3 +-
 frontend/app/components/ScatterSsimVmaf.tsx   |   3 +-
 frontend/app/hardware/page.tsx                |  11 +-
 frontend/app/leaderboards/page.tsx            |   2 +-
 frontend/app/lib/escapeHtml.ts                |  11 +
 frontend/app/lib/fetchBenchmarks.ts           |  84 +++-
 frontend/app/page.tsx                         |   2 +-
 frontend/next.config.mjs                      |  20 +-
 frontend/next.config.ts                       |  23 --
 28 files changed, 586 insertions(+), 346 deletions(-)
 create mode 100644 frontend/app/lib/escapeHtml.ts
 delete mode 100644 frontend/next.config.ts

diff --git a/README.md b/README.md
index 7ae02f3..d43311a 100644
--- a/README.md
+++ b/README.md
@@ -1,132 +1,270 @@
-Encoding Database – Open Benchmark Suite for Video Encoding
-===========================================================
-
-Overview
---------
-Encoding Database is an open-source project that crowdsources real-world, reproducible performance and quality data for video encoding stacks across CPUs and GPUs. The goal is to help the community compare encoders, presets, and hardware on consistent inputs while capturing realistic throughput, quality (VMAF), and file size outcomes.
-
-Repo layout
------------
-- `server/`: Node/Express + Prisma API that accepts benchmark submissions and aggregates results.
-- `frontend/`: Next.js app for exploring benchmarks and visualizations.
-- `client/`: Cross-platform Python benchmark client (packaged with PyInstaller for end users) that runs standardized FFmpeg pipelines and submits results.
-- `nginx/`: Reverse proxy examples for production deployments.
-- `scripts/`: Helper scripts for development, building, and operations.
-
-What the benchmark measures
----------------------------
-For a fixed, canonical input clip, the client runs a matrix of encoder/preset combinations and reports:
-- FPS (throughput)
-- File size
-- VMAF (if the FFmpeg build has libvmaf)
-- Basic hardware info (CPU, GPU/integrated, RAM, OS)
-- Encoder used (software/hardware), preset, CRF
-
-The API validates, scores, and aggregates data to present robust medians and highlight outliers.
-
-Quick start – Using the prebuilt client (Windows/macOS)
-------------------------------------------------------
-1) Download the latest release for your OS from the Releases page.
-2) Close other heavy apps to improve measurement quality.
-3) Run the client:
-   - Windows: double-click `encodingdb-client-windows.exe` (the terminal will pause at the end so you can read results)
-   - macOS: run the unix executable or `./encodingdb-client-macos` from Terminal (Gatekeeper may require you to allow execution)
-4) Follow the prompts to select a codec/encoder, CRF, and preset (or run a pre-defined small/medium/full benchmark from the menu).
-5) If submissions are enabled, results will be uploaded automatically. Otherwise, they will be queued locally for retry.
-
-Client command-line options
----------------------------
-The client accepts flags to customize behavior. Common examples:
+Encoding Database
+=================
 
+Encoding Database is an open benchmarking platform for video encoding performance, quality, and efficiency. It combines:
+
+- A cross-platform Python client that runs reproducible FFmpeg benchmarks.
+- A Node/Express + Prisma API that validates, scores, and aggregates submissions.
+- A Next.js frontend with comparison tools and leaderboards.
+
+With the changes brought by version *v1.1.0*, the project has moved well beyond a simple benchmark script into a multi-component data platform with quality controls, ingest hardening, and hardware telemetry.
+
+## Why this project exists
+
+Encoder performance claims are often hard to compare because workloads, settings, and hardware conditions differ. Encoding Database standardizes those dimensions (as best we can) so results are more comparable and useful in real-world decision making:
+
+- Which encoder and preset is fastest on my class of hardware?
+- What quality tradeoff am I buying for speed and output size?
+- How much power and thermal headroom does a given encode path consume?
+
+## System architecture
+
+1. The client runs benchmark tasks (single run or benchmark batches) against a canonical input clip.
+2. The client computes quality and performance metrics and captures optional system telemetry during encode.
+3. The client submits an allowlisted payload to `/submit`.
+4. The server validates payloads, deduplicates with a hash, scores quality confidence, stores an immutable audit row, and updates aggregate benchmark rows transactionally.
+5. The frontend queries `/query` for accepted aggregates and renders analytics/leaderboards.
+
+## Repository layout
+
+- `client/`: Python benchmark runner, hardware detection, FFmpeg orchestration, telemetry sampler.
+- `server/`: Express API, Zod validation, Prisma models/migrations, ingest + query pipeline.
+- `frontend/`: Next.js 15 app with benchmark table, analytics, leaderboards, and hardware pages.
+- `nginx/`: reverse-proxy configuration for production.
+- `scripts/`: local testing, e2e checks, hardening checks, packaging, deployment helpers.
+- `sample.mp4`: canonical baseline clip used by the benchmark flow.
+
+## Current platform capabilities
+
+- Benchmark dimensions: codec/encoder, preset, CRF, content class, resolution, pass count.
+- Core quality/performance: FPS, file size, VMAF, SSIM, PSNR.
+- Hardware telemetry: utilization, power, memory, temperatures, CPU frequency, process I/O and CPU time, battery state.
+- Data integrity controls: canonical input hash checks, idempotent payload hash, accepted/suspect/rejected submission status.
+- Aggregation model: rolling sums/sample counts for stable recomputation and drift-resistant averages.
+- Query API: filtering, sorting, ranges, pagination, derived efficiency metrics.
+- Frontend analytics: scatter plots, histograms, rate-distortion, content/resolution comparisons, PL Score v6 leaderboards.
+
+## Telemetry and privacy
+
+### Data collection policy
+
+No user-identifiable data is collected in benchmark telemetry payloads.  
+Only system and benchmark run information is collected for data accuracy, reproducibility, and fairness across hardware.
+
+The client submits an explicit allowlist of fields. This prevents accidental inclusion of unrelated machine or user data.
+
+### Telemetry fields collected and why they matter
+
+| Category | Fields | Why this is collected |
+| --- | --- | --- |
+| System profile | `cpuModel`, `gpuModel`, `ramGB`, `os` | Normalizes comparisons across hardware and OS environments. |
+| Workload configuration | `codec`, `preset`, `crf`, `contentClass`, `resolution`, `passes`, `inputHash` | Ensures two rows are only compared when workload settings are equivalent. |
+| Core benchmark outcome | `fps`, `fileSizeBytes`, `vmaf`, `ssim`, `psnr`, `runMs` | Captures speed, size, and perceptual quality outcomes of each encode. |
+| Runtime telemetry (efficiency) | `gpuUtilAvg`, `gpuPowerAvgW`, `gpuMemPeakMB`, `cpuUtilAvg`, `cpuUtilMax`, `peakMemoryMB`, `thermalThrottle` | Enables efficiency and stability analysis beyond raw FPS. |
+| Extended telemetry | `gpuTempMaxC`, `cpuFreqAvgMHz`, `cpuTempMaxC`, `ffmpegCpuUtilAvg`, `ffmpegCpuUtilMax`, `ffmpegReadMB`, `ffmpegWriteMB`, `ffmpegCpuTimeS`, `batteryPercentStart`, `batteryPercentEnd`, `batteryPercentDrop`, `powerSource`, `sampleCount`, `monitorDurationMs` | Improves confidence scoring, thermal context, and power/runtime interpretation. |
+| Tooling metadata | `ffmpegVersion`, `encoderName`, `clientVersion`, `notes` | Aids reproducibility and diagnostics of edge-case runs. |
+
+### What is not collected
+
+- No names, emails, accounts, or profile identifiers.
+- No location data.
+- No browser cookies or advertising identifiers.
+- No filesystem snapshots, personal files, or media uploads beyond benchmark metrics.
+- No device serial numbers or MAC addresses in benchmark rows.
+
+### Why telemetry is important
+
+- It prevents misleading comparisons by preserving workload and hardware context.
+- It enables efficiency metrics such as FPS/Watt and quality-per-watt.
+- It improves outlier detection and submission confidence.
+- It supports hardware recommendation and reliability analysis.
+
+## Quick start: benchmark client (prebuilt)
+
+1. Download the latest client release from:
+   - [GitHub Releases](https://github.com/oliverdougherC/Encoding_Database/releases)
+2. Close heavy background apps for cleaner measurements.
+3. Run the binary:
+   - Windows: `encodingdb-client-windows.exe`
+   - macOS: `./encodingdb-client-macos`
+4. Follow the menu prompts to run single, small, medium, or full benchmark modes.
+5. Results are submitted automatically unless `--no-submit` is enabled.
+
+## Client CLI options
+
+The client is menu-driven by default and also supports CLI flags:
+
+```bash
+python client/main.py \
+  --base-url https://encodingdb.platinumlabs.dev \
+  --codec libx264 \
+  --presets fast,medium \
+  --crf 24 \
+  --batch-size 0 \
+  --content-class mixed \
+  --resolution 1080p \
+  --passes 1
 ```
---codec libx264           # force a specific encoder (e.g., libx264, libx265, h264_nvenc)
---presets fast,medium     # presets list (comma-separated)
---crf 24                  # CRF for software encoders (mapped for HW encoders where possible)
---no-submit               # run locally but do not submit to the server
---batch-size 0            # 0=auto: number of physical CPU cores (not threads)
---use-token               # opt-in to short-lived token auth if the server requires it
---base-url https://...    # override API base (defaults to production)
---pause-on-exit           # keep the console window open at the end (Windows)
-```
 
-Hardware encoder detection
---------------------------
-The client enumerates software encoders and probes hardware encoders using a fast one-frame test. This prevents showing unusable NVENC/QSV/AMF encoders on systems without those capabilities (e.g., integrated-only systems). On Windows, GPU model detection falls back to CIM/WMI when needed, improving support for integrated GPUs like AMD 780M.
+Common flags:
+
+- `--no-submit`: run benchmark but do not upload.
+- `--use-token`: use short-lived ingest token flow when server supports it.
+- `--queue-dir`: directory for offline retry queue.
+- `--pause-on-exit`: keep console open after run (useful on Windows).
 
-Batch sizing
-------------
-By default the client uses the number of physical CPU cores for parallel VMAF computation. This avoids over-subscription on hyperthreaded CPUs. You can override with `--batch-size N`.
+## Local development
 
-Development – Local environment
--------------------------------
-Prereqs:
-- Node 18+
+### Prerequisites
+
+- Node.js 18+
 - Docker (for Postgres)
-- Python 3.10+ (for the client)
-
-Steps:
-1) Copy `env.example` to `.env` at repo root and set values as needed. Do the same in `server/env.example`.
-2) Start API + DB:
-   ```
-   docker-compose up --build
-   ```
-3) Install server deps and generate Prisma client:
-   ```
-   cd server
-   npm ci
-   npm run build
-   npm run prisma:generate
-   npm run dev
-   ```
-4) Frontend:
-   ```
-   cd frontend
-   npm ci
-   npm run dev
-   ```
-5) Client (Python):
-   ```
-   cd client
-   python -m venv ../.myenv && ../.myenv/Scripts/activate  # Windows
-   pip install -r requirements.txt
-   python main.py --no-submit --menu
-   ```
-
-Building the Windows client
----------------------------
-Requirements:
-- Windows Python with PyInstaller installed in your venv (`.myenv`), and
-- `client/bin/win/ffmpeg.exe` and `ffprobe.exe` present (bundled with the exe)
-
-Build:
+- Python 3.10+
+
+### Option A: one-command local stack
+
+```bash
+./scripts/local_test.sh
 ```
-scripts\build_windows_client.ps1
+
+This script can stand up DB + API (+ frontend by default), apply migrations, seed test data, and run readiness checks.
+
+### Option B: manual setup
+
+1. Configure env files from `env.example` and `server/env.example`.
+2. Start Postgres:
+
+```bash
+docker compose up -d db
 ```
-Result: `client/dist/windows/encodingdb-client-windows.exe`
 
-Building the macOS client
--------------------------
-Use `scripts/build_macos_client.sh` (requires a native macOS Python and PyInstaller). Codesigning/notarization are not covered here.
+3. Start API:
+
+```bash
+cd server
+npm ci
+npm run build
+npx prisma generate
+npx prisma migrate deploy
+npm run dev
+```
+
+4. Start frontend:
+
+```bash
+cd frontend
+npm ci
+echo "NEXT_PUBLIC_API_BASE_URL=http://localhost:3001" > .env.local
+npm run dev
+```
+
+5. Run client locally:
+
+```bash
+cd client
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+python main.py --no-submit
+```
+
+## API overview
+
+- `POST /submit`: submit one benchmark payload.
+- `GET /query`: fetch accepted aggregate benchmarks with filter/sort/range params.
+- `GET /test-videos`: list known benchmark clips.
+- `GET /submit-token`, `GET /submit/token`, `GET /health/token`: optional short-lived token issuance.
+- `GET /health`, `GET /health/live`, `GET /health/ready`: health checks.
+
+## Ingest security modes
+
+Configured via environment:
+
+- `public`: unsigned submissions accepted; token optional.
+- `signed`: HMAC signature required.
+- `hybrid`: signed preferred; token fallback; unsigned compatibility fallback.
+
+Additional controls:
+
+- global and `/submit` rate limits,
+- body size limits,
+- optional proof-of-work challenge for token mode,
+- replay protection for signatures.
+
+## Frontend pages
+
+- `/`: benchmark table with filters, compare panel, PL Score sorting.
+- `/analytics`: visual analytics (histograms, scatter, rate-distortion, content/resolution charts).
+- `/compare-encoders`: focused encoder comparison dashboard.
+- `/leaderboards`: top encoders by speed/quality/compression/PL Score.
+- `/hardware`: efficiency and hardware intelligence charts.
+- `/plove`: PL Score v6 documentation and formula overview.
+
+## Build packaged clients
+
+Windows:
+
+```powershell
+scripts/build_windows_client.ps1
+```
+
+macOS:
+
+```bash
+./scripts/build_macos_client.sh
+```
+
+Linux:
+
+```bash
+./scripts/build_linux_client.sh
+```
+
+All packaging scripts expect platform FFmpeg/ffprobe binaries under `client/bin/<platform>/`.
+
+## Testing and validation scripts
+
+- `server/test/routes.smoke.test.js`: server smoke tests.
+- `scripts/e2e.sh`: local end-to-end benchmark flow.
+- `scripts/api_hardening_test.sh`: API validation, limits, and resilience checks.
+
+## Production deployment
+
+1. Generate env files:
+
+```bash
+./scripts/setup_env.sh --domain your-domain.example
+```
+
+2. Build and run:
+
+```bash
+docker compose -f docker-compose.prod.yml up -d --build
+```
+
+3. For scripted updates on a deployment host:
+
+```bash
+./scripts/redploy.sh
+```
+
+Frontend-only deployment notes are in `frontend/DEPLOYMENT.md`.
+
+## Notes on benchmark scope
 
-Security and submission modes
------------------------------
-The API supports several ingest modes controlled by environment:
-- public: accepts unsigned submissions (optionally short-lived tokens)
-- signed: requires HMAC signature headers
-- hybrid: accepts signed, else token if present, else unsigned (best-effort)
+- Canonical clip integrity is enforced by SHA256 (`sample.mp4`).
+- Multi-content/resolution fields are supported in schema and UI; the canonical sample remains the default guaranteed clip path.
+- Some telemetry fields are platform-dependent and may be unavailable on certain systems (for example, GPU power on non-NVIDIA hardware).
 
-The client can fetch and attach a short-lived token (`--use-token`) when the server is configured for that.
+## Contributing
 
-Privacy notes
--------------
-Submitted payloads include hardware model strings, OS version, encoder name, and performance metrics. No personal data beyond the above is collected. Do not run the client on machines where this disclosure is unacceptable.
+Issues and PRs are welcome. When contributing:
 
-Contributing
-------------
-Issues and PRs welcome. Please keep code clear and well-typed, and add small targeted tests where sensible.
+- keep changes focused and well-scoped,
+- include tests for behavior changes where practical,
+- avoid breaking payload/schema compatibility without migration updates.
 
-License
--------
-Apache 2.0.
+## License
 
+Apache 2.0
 
diff --git a/frontend/app/analytics/page.tsx b/frontend/app/analytics/page.tsx
index 88dc77c..6851424 100644
--- a/frontend/app/analytics/page.tsx
+++ b/frontend/app/analytics/page.tsx
@@ -1,41 +1,20 @@
-import { headers } from "next/headers";
 import type { Benchmark } from "../components/BenchmarksTable";
 import FpsByCodecChart from "../components/FpsByCodecChart";
 import VmafHistogram from "../components/VmafHistogram";
 import ScatterFpsSize from "../components/ScatterFpsSize";
 import GroupedSizeByPreset from "../components/GroupedSizeByPreset";
+import SsimHistogram from "../components/SsimHistogram";
+import PsnrHistogram from "../components/PsnrHistogram";
+import ScatterSsimVmaf from "../components/ScatterSsimVmaf";
+import RateDistortionChart from "../components/RateDistortionChart";
+import ResolutionComparisonChart from "../components/ResolutionComparisonChart";
+import ContentRadarChart from "../components/ContentRadarChart";
+import PassSpeedComparison from "../components/PassSpeedComparison";
+import LazyChart from "../components/LazyChart";
+import { fetchBenchmarks } from "../lib/fetchBenchmarks";
 import styles from "./page.module.css";
 
-export const dynamic = "force-dynamic";
-
-async function fetchBenchmarks(): Promise<Benchmark[]> {
-  const internal = process.env.INTERNAL_API_BASE_URL;
-
-  let host = "localhost:3000";
-  let proto = "http";
-  try {
-    const h = await headers();
-    host = h.get("x-forwarded-host") || h.get("host") || "localhost:3000";
-    proto = h.get("x-forwarded-proto") || "http";
-  } catch {
-    // Headers unavailable, use defaults
-  }
-
-  const origin = `${proto}://${host}`;
-  const primaryUrl = internal ? `${internal}/query` : `${origin}/api/query`;
-  try {
-    const res = await fetch(primaryUrl, { signal: AbortSignal.timeout(10000) });
-    if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-    return res.json();
-  } catch (err) {
-    if (internal) {
-      const res = await fetch(`${origin}/api/query`, { signal: AbortSignal.timeout(10000) });
-      if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-      return res.json();
-    }
-    throw err;
-  }
-}
+export const revalidate = 60;
 
 export default async function AnalyticsPage() {
   let data: Benchmark[] = [];
@@ -61,10 +40,17 @@ export default async function AnalyticsPage() {
     <div className={styles.container}>
       <h1 className={styles.heading}>Analytics</h1>
       <div className={styles.grid}>
-        <FpsByCodecChart data={data} />
-        <VmafHistogram data={data} />
-        <ScatterFpsSize data={data} />
-        <GroupedSizeByPreset data={data} />
+        <LazyChart><FpsByCodecChart data={data} /></LazyChart>
+        <LazyChart><VmafHistogram data={data} /></LazyChart>
+        <LazyChart><SsimHistogram data={data} /></LazyChart>
+        <LazyChart><PsnrHistogram data={data} /></LazyChart>
+        <LazyChart><ScatterFpsSize data={data} /></LazyChart>
+        <LazyChart><ScatterSsimVmaf data={data} /></LazyChart>
+        <LazyChart><GroupedSizeByPreset data={data} /></LazyChart>
+        <LazyChart><PassSpeedComparison data={data} /></LazyChart>
+        <LazyChart><RateDistortionChart data={data} /></LazyChart>
+        <LazyChart><ResolutionComparisonChart data={data} /></LazyChart>
+        <LazyChart><ContentRadarChart data={data} /></LazyChart>
       </div>
     </div>
   );
diff --git a/frontend/app/api/hwlink/route.ts b/frontend/app/api/hwlink/route.ts
index 4aaea68..fd27b4e 100644
--- a/frontend/app/api/hwlink/route.ts
+++ b/frontend/app/api/hwlink/route.ts
@@ -13,8 +13,7 @@ export async function GET(req: NextRequest) {
       return NextResponse.redirect("https://www.techpowerup.com/");
     }
 
-    const decoded = decodeURIComponent(q);
-    const encoded = encodeURIComponent(decoded);
+    const encoded = encodeURIComponent(q);
 
     const base = "https://www.techpowerup.com";
     const searchUrl = kind === "cpu"
@@ -25,6 +24,7 @@ export async function GET(req: NextRequest) {
       const res = await fetch(searchUrl, {
         headers: { "user-agent": "Mozilla/5.0" },
         cache: "no-store",
+        signal: AbortSignal.timeout(8000),
       });
 
       if (!res.ok) {
@@ -48,7 +48,7 @@ export async function GET(req: NextRequest) {
           .replace(/[^a-z0-9+.\- ]+/g, " ")
           .replace(/\s+/g, " ")
           .trim();
-      const target = norm(decoded);
+      const target = norm(q);
 
       let idx = 0;
       for (const m of matches) {
diff --git a/frontend/app/api/query/route.ts b/frontend/app/api/query/route.ts
index 94bc4b2..ccbd0df 100644
--- a/frontend/app/api/query/route.ts
+++ b/frontend/app/api/query/route.ts
@@ -6,21 +6,26 @@ export async function GET(request: NextRequest) {
 
   // If we have a real backend, proxy the request with all query params
   if (internal) {
-    const qs = request.nextUrl.search;
-    const url = `${internal}/query${qs}`;
-    const res = await fetch(url, { signal: AbortSignal.timeout(10000) });
-    if (!res.ok) {
-      return NextResponse.json({ error: "Backend error" }, { status: res.status });
+    try {
+      const qs = request.nextUrl.search;
+      const url = `${internal}/query${qs}`;
+      const res = await fetch(url, { signal: AbortSignal.timeout(10000) });
+      if (!res.ok) {
+        return NextResponse.json({ error: "Backend error" }, { status: res.status });
+      }
+      const data = await res.json();
+      const response = NextResponse.json(data);
+      // Forward X-Total-Count header if present
+      const totalCount = res.headers.get("X-Total-Count");
+      if (totalCount) {
+        response.headers.set("X-Total-Count", totalCount);
+        response.headers.set("Access-Control-Expose-Headers", "X-Total-Count");
+      }
+      return response;
+    } catch (error) {
+      console.error("Query proxy failed:", error);
+      return NextResponse.json({ error: "Upstream query failed" }, { status: 502 });
     }
-    const data = await res.json();
-    const response = NextResponse.json(data);
-    // Forward X-Total-Count header if present
-    const totalCount = res.headers.get("X-Total-Count");
-    if (totalCount) {
-      response.headers.set("X-Total-Count", totalCount);
-      response.headers.set("Access-Control-Expose-Headers", "X-Total-Count");
-    }
-    return response;
   }
 
   if (isProd) {
diff --git a/frontend/app/compare-encoders/EncoderDashboardClient.tsx b/frontend/app/compare-encoders/EncoderDashboardClient.tsx
index 8c40209..f22f575 100644
--- a/frontend/app/compare-encoders/EncoderDashboardClient.tsx
+++ b/frontend/app/compare-encoders/EncoderDashboardClient.tsx
@@ -4,6 +4,7 @@ import { useMemo, useState } from "react";
 import type { Benchmark } from "../components/BenchmarksTable";
 import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "../components/EChart";
 import styles from "./page.module.css";
 
@@ -89,7 +90,7 @@ export default function EncoderDashboardClient({ data }: { data: Benchmark[] })
         textStyle: { color: t.fg, fontSize: 12 },
         formatter: (params: { name: string; value: number[] }) => {
           const lines = AXES.map((ax, i) => `${ax}: <b>${(params.value[i] || 0).toFixed(1)}</b>`).join("<br/>");
-          return `<b>${params.name}</b><br/>${lines}`;
+          return `<b>${escapeHtml(params.name)}</b><br/>${lines}`;
         },
       },
       legend: {
diff --git a/frontend/app/compare-encoders/page.tsx b/frontend/app/compare-encoders/page.tsx
index 0f64e31..e8b7dfe 100644
--- a/frontend/app/compare-encoders/page.tsx
+++ b/frontend/app/compare-encoders/page.tsx
@@ -2,7 +2,7 @@ import type { Benchmark } from "../components/BenchmarksTable";
 import { fetchBenchmarks } from "../lib/fetchBenchmarks";
 import EncoderDashboardClient from "./EncoderDashboardClient";
 
-export const dynamic = "force-dynamic";
+export const revalidate = 60;
 
 export default async function EncoderComparisonPage() {
   let data: Benchmark[] = [];
diff --git a/frontend/app/components/BenchmarksTable.module.css b/frontend/app/components/BenchmarksTable.module.css
index c6cf3ae..28a8963 100644
--- a/frontend/app/components/BenchmarksTable.module.css
+++ b/frontend/app/components/BenchmarksTable.module.css
@@ -75,10 +75,26 @@
 }
 
 .sortable {
-  cursor: pointer;
   user-select: none;
 }
 
+.sortButton {
+  width: 100%;
+  background: none;
+  border: 0;
+  color: inherit;
+  font: inherit;
+  text-align: inherit;
+  cursor: pointer;
+  padding: 0;
+}
+
+.sortButton:focus-visible {
+  outline: 2px solid color-mix(in srgb, var(--accent) 70%, transparent);
+  outline-offset: 2px;
+  border-radius: 4px;
+}
+
 .sortIndicator {
   margin-left: 4px;
 }
diff --git a/frontend/app/components/BenchmarksTable.tsx b/frontend/app/components/BenchmarksTable.tsx
index 48f76d4..1e726ef 100644
--- a/frontend/app/components/BenchmarksTable.tsx
+++ b/frontend/app/components/BenchmarksTable.tsx
@@ -6,7 +6,6 @@ import { useVirtualizer } from "@tanstack/react-virtual";
 import styles from "./BenchmarksTable.module.css";
 import ComparePanel, { CompareStickyBar } from "./ComparePanel";
 import { formatCodecLabel } from "./codecLabel";
-import { fetchFilteredBenchmarks } from "../lib/fetchBenchmarksClient";
 import type { Benchmark } from "../lib/types";
 import { createPlScoreContext, scorePlBenchmarkV6 } from "../lib/plScore";
 
@@ -15,6 +14,10 @@ export type { Benchmark } from "../lib/types";
 const PAGE_SIZE = 50;
 const COL_WIDTHS = "4% 9% 17% 17% 13% 7% 11% 12% 7% 7%";
 
+function clamp(value: number, min: number, max: number): number {
+  return Math.max(min, Math.min(max, value));
+}
+
 // Intermediate type with per-row metrics (expensive computation, cached separately)
 type PerRowMetrics = Benchmark & {
   _q: number;       // quality component
@@ -129,49 +132,12 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
     });
   }, []);
   const clearSelection = useCallback(() => { setSelectedIds(new Set()); setShowCompare(false); }, []);
-
-  // Server-side filtering state (F-02)
-  const [serverData, setServerData] = useState<Benchmark[] | null>(null);
-  const [serverTotal, setServerTotal] = useState(0);
   const [page, setPage] = useState(0);
-  const [fetching, setFetching] = useState(false);
-
-  // Debounced server-side fetch when filters change
-  const fetchDebounceRef = useRef<ReturnType<typeof setTimeout> | null>(null);
-  useEffect(() => {
-    if (fetchDebounceRef.current) clearTimeout(fetchDebounceRef.current);
-    fetchDebounceRef.current = setTimeout(() => {
-      const params: Record<string, string> = {
-        limit: String(PAGE_SIZE),
-        skip: String(page * PAGE_SIZE),
-        total: "1",
-      };
-      if (cpuFilter.trim()) params.cpu = cpuFilter.trim();
-      if (gpuFilter.trim()) params.gpu = gpuFilter.trim();
-      if (codecFilter.trim()) params.codecSearch = codecFilter.trim();
-      setFetching(true);
-      fetchFilteredBenchmarks(params)
-        .then(({ data, total }) => { setServerData(data); setServerTotal(total); })
-        .catch(() => { setServerData(null); }) // fallback to client-side
-        .finally(() => setFetching(false));
-    }, 300);
-    return () => { if (fetchDebounceRef.current) clearTimeout(fetchDebounceRef.current); };
-  }, [cpuFilter, gpuFilter, codecFilter, page]);
 
-  // Reset page when filters change
-  const prevFiltersRef = useRef({ cpuFilter, gpuFilter, codecFilter });
+  // Reset page when any filter changes
   useEffect(() => {
-    const prev = prevFiltersRef.current;
-    if (prev.cpuFilter !== cpuFilter || prev.gpuFilter !== gpuFilter || prev.codecFilter !== codecFilter) {
-      setPage(0);
-      prevFiltersRef.current = { cpuFilter, gpuFilter, codecFilter };
-    }
-  }, [cpuFilter, gpuFilter, codecFilter]);
-
-  // Use server data if available, otherwise fall back to initialData
-  const activeData = serverData ?? initialData;
-  const totalRows = serverData ? serverTotal : initialData.length;
-  const totalPages = Math.max(1, Math.ceil(totalRows / PAGE_SIZE));
+    setPage(0);
+  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
 
   const codecs = useMemo(() => Array.from(new Set(initialData.map(d => d.codec))).sort(), [initialData]);
   const presets = useMemo(() => Array.from(new Set(initialData.map(d => d.preset))).sort(), [initialData]);
@@ -190,11 +156,11 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
 
   // Pre-compute hardware encoder classification once per row to avoid repeated regex tests
   const dataWithHwClass = useMemo(() => {
-    return activeData.map(row => {
+    return initialData.map(row => {
       const encLower = (row.encoderName ?? row.codec ?? "").toLowerCase();
       return { ...row, _isHardware: isHardwareEncoder(encLower) };
     });
-  }, [activeData]);
+  }, [initialData]);
 
   const filtered = useMemo(() => {
     const cpu = cpuFilter.trim().toLowerCase();
@@ -238,15 +204,21 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
 
   // Stage 2: recompute final PL score when weights change
   const withScores = useMemo((): EnrichedBenchmark[] => {
+    const weightSum = Math.max(0.0001, wQuality + wSize + wSpeed);
+    const normalizedQuality = wQuality / weightSum;
+    const normalizedSize = wSize / weightSum;
+    const normalizedSpeed = wSpeed / weightSum;
     return perRowMetrics.map((row): EnrichedBenchmark => {
-      const scored = scorePlBenchmarkV6(row, plContext, {
-        quality: wQuality,
-        size: wSize,
-        speed: wSpeed,
-      });
-      return { ...row, _plScore: scored.total };
+      const core = clamp(
+        normalizedQuality * row._q + normalizedSize * row._s + normalizedSpeed * row._sp,
+        0,
+        100,
+      );
+      const confidenceAdj = (row._confidence - 0.7) * 6;
+      const total = clamp(core * 0.78 + row._eff * 0.14 + row._rel * 0.08 + confidenceAdj, 0, 100);
+      return { ...row, _plScore: total };
     });
-  }, [perRowMetrics, plContext, wQuality, wSize, wSpeed]);
+  }, [perRowMetrics, wQuality, wSize, wSpeed]);
 
   const sorted = useMemo((): EnrichedBenchmark[] => {
     const data = [...withScores];
@@ -269,6 +241,36 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
     return data;
   }, [withScores, sortKey, sortDir]);
 
+  // Keep selections in-sync with currently visible filtered dataset.
+  useEffect(() => {
+    const allowed = new Set(sorted.map(row => row.id));
+    setSelectedIds(prev => {
+      let changed = false;
+      const next = new Set<string>();
+      for (const id of prev) {
+        if (allowed.has(id)) {
+          next.add(id);
+        } else {
+          changed = true;
+        }
+      }
+      return changed ? next : prev;
+    });
+  }, [sorted]);
+
+  const totalRows = sorted.length;
+  const totalPages = Math.max(1, Math.ceil(totalRows / PAGE_SIZE));
+  useEffect(() => {
+    if (page >= totalPages) {
+      setPage(Math.max(0, totalPages - 1));
+    }
+  }, [page, totalPages]);
+
+  const pagedRows = useMemo(() => {
+    const start = page * PAGE_SIZE;
+    return sorted.slice(start, start + PAGE_SIZE);
+  }, [sorted, page]);
+
   const compareRows = useMemo(() => sorted.filter(r => selectedIds.has(r.id)), [sorted, selectedIds]);
 
   const setSort = (key: SortKey) => {
@@ -384,7 +386,7 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       </div>
 
       <VirtualTable
-        sorted={sorted}
+        rows={pagedRows}
         selectedIds={selectedIds}
         toggleSelect={toggleSelect}
         setShowDetailId={setShowDetailId}
@@ -392,12 +394,11 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
         sortKey={sortKey}
         sortDir={sortDir}
         setSort={setSort}
-        fetching={fetching}
       />
 
       <div className={styles.paginationBar}>
         <span className="subtle">
-          Showing {sorted.length === 0 ? 0 : page * PAGE_SIZE + 1}-{Math.min((page + 1) * PAGE_SIZE, totalRows)} of {totalRows}
+          Showing {totalRows === 0 ? 0 : page * PAGE_SIZE + 1}-{Math.min((page + 1) * PAGE_SIZE, totalRows)} of {totalRows}
         </span>
         <div style={{ display: "flex", gap: 8, alignItems: "center" }}>
           <button className="btn" style={{ padding: "6px 10px" }} disabled={page === 0} onClick={() => setPage(p => Math.max(0, p - 1))}>Prev</button>
@@ -437,9 +438,9 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
   );
 }
 
-function VirtualTable({ sorted, selectedIds, toggleSelect, setShowDetailId, setShowFfmpegId, sortKey, sortDir, setSort, fetching }: { sorted: EnrichedBenchmark[]; selectedIds: Set<string>; toggleSelect: (id: string) => void; setShowDetailId: (id: string | null) => void; setShowFfmpegId: (id: string | null) => void; sortKey: SortKey; sortDir: "asc" | "desc"; setSort: (key: SortKey) => void; fetching: boolean }) {
+function VirtualTable({ rows, selectedIds, toggleSelect, setShowDetailId, setShowFfmpegId, sortKey, sortDir, setSort }: { rows: EnrichedBenchmark[]; selectedIds: Set<string>; toggleSelect: (id: string) => void; setShowDetailId: (id: string | null) => void; setShowFfmpegId: (id: string | null) => void; sortKey: SortKey; sortDir: "asc" | "desc"; setSort: (key: SortKey) => void }) {
   const parentRef = useRef<HTMLDivElement>(null);
-  const virtualizer = useVirtualizer({ count: sorted.length, getScrollElement: () => parentRef.current, estimateSize: () => 48, overscan: 10 });
+  const virtualizer = useVirtualizer({ count: rows.length, getScrollElement: () => parentRef.current, estimateSize: () => 48, overscan: 10 });
   return (
     <div className={`card ${styles.cardOverflow}`}>
       <div className={styles.virtualHeader} role="row" style={{ display: "grid", gridTemplateColumns: COL_WIDTHS }}>
@@ -456,9 +457,8 @@ function VirtualTable({ sorted, selectedIds, toggleSelect, setShowDetailId, setS
       </div>
       <div ref={parentRef} className={styles.virtualScrollContainer} role="table">
         <div style={{ height: virtualizer.getTotalSize(), width: "100%", position: "relative" }}>
-          {fetching && sorted.length === 0 && <div style={{ padding: 16, textAlign: "center", color: "var(--muted)" }}>Loading...</div>}
           {virtualizer.getVirtualItems().map(vr => {
-            const row = sorted[vr.index];
+            const row = rows[vr.index];
             return (
               <div key={row.id} role="row" className={styles.virtualRow} style={{ position: "absolute", top: 0, left: 0, width: "100%", height: vr.size, transform: `translateY(${vr.start}px)`, display: "grid", gridTemplateColumns: COL_WIDTHS, background: selectedIds.has(row.id) ? "color-mix(in srgb, var(--highlight) 20%, var(--surface))" : undefined }}>
                 <div role="cell" className={`td ${styles.textCenter}`} style={{ padding: "8px 4px" }}><input type="checkbox" checked={selectedIds.has(row.id)} onChange={() => toggleSelect(row.id)} disabled={!selectedIds.has(row.id) && selectedIds.size >= 6} aria-label="Select for comparison" style={{ accentColor: "var(--accent)" }} /></div>
@@ -474,7 +474,7 @@ function VirtualTable({ sorted, selectedIds, toggleSelect, setShowDetailId, setS
               </div>
             );
           })}
-          {sorted.length === 0 && !fetching && <div style={{ padding: 16, textAlign: "center", color: "var(--muted)" }}>No results for current filters.</div>}
+          {rows.length === 0 && <div style={{ padding: 16, textAlign: "center", color: "var(--muted)" }}>No results for current filters.</div>}
         </div>
       </div>
     </div>
@@ -483,8 +483,16 @@ function VirtualTable({ sorted, selectedIds, toggleSelect, setShowDetailId, setS
 
 function ThDiv({ label, onClick, active, dir, align }: { label: string; onClick: () => void; active: boolean; dir: "asc" | "desc"; align?: "left" | "right" }) {
   return (
-    <div onClick={onClick} className={`th ${styles.sortable}`} role="columnheader" style={{ textAlign: align || "left", cursor: "pointer" }} title="Click to sort" aria-sort={active ? (dir === "asc" ? "ascending" : "descending") : "none"}>
-      {label}{active && <span aria-hidden="true" className={styles.sortIndicator}>{dir === "asc" ? "\u25B2" : "\u25BC"}</span>}
+    <div className={`th ${styles.sortable}`} role="columnheader" style={{ textAlign: align || "left" }} aria-sort={active ? (dir === "asc" ? "ascending" : "descending") : "none"}>
+      <button
+        type="button"
+        onClick={onClick}
+        className={styles.sortButton}
+        title="Sort column"
+        aria-label={`Sort by ${label}`}
+      >
+        {label}{active && <span aria-hidden="true" className={styles.sortIndicator}>{dir === "asc" ? "\u25B2" : "\u25BC"}</span>}
+      </button>
     </div>
   );
 }
@@ -639,6 +647,15 @@ function hasShellMetachars(s: string): boolean {
   return /[;&|`$(){}[\]<>\\!"'*?#~]/.test(s);
 }
 
+function shellQuotePosix(value: string): string {
+  if (value.length === 0) return "''";
+  return `'${value.replace(/'/g, `'\\''`)}'`;
+}
+
+function isSafeCliToken(value: string): boolean {
+  return /^[a-z0-9_:+.-]+$/i.test(value);
+}
+
 function FfmpegModal({ row, onClose }: { row: EnrichedBenchmark; onClose: () => void }) {
   const [inputPath, setInputPath] = useState<string>("input.mp4");
   const [outputPath, setOutputPath] = useState<string>("output.mp4");
@@ -651,31 +668,35 @@ function FfmpegModal({ row, onClose }: { row: EnrichedBenchmark; onClose: () =>
   }, [copied]);
 
   // Check for potentially dangerous characters in paths
+  const encoderRaw = (row.encoderName ?? row.codec ?? "").trim();
+  const presetRaw = (row.preset ?? "").trim();
+  const safeEncoder = isSafeCliToken(encoderRaw) ? encoderRaw : "";
+  const safePreset = isSafeCliToken(presetRaw) ? presetRaw : "";
   const pathWarning = hasShellMetachars(inputPath) || hasShellMetachars(outputPath);
+  const profileWarning = (!safeEncoder && encoderRaw.length > 0) || (!safePreset && presetRaw.length > 0);
 
   const command = useMemo(() => {
-    const encoder = (row.encoderName ?? row.codec ?? "").trim();
     const safeInput = inputPath || "input.mp4";
     const safeOutput = outputPath || "output.mp4";
 
     const parts: string[] = [
       "ffmpeg",
       "-i",
-      safeInput,
+      shellQuotePosix(safeInput),
     ];
-    if (encoder) {
-      parts.push("-c:v", encoder);
+    if (safeEncoder) {
+      parts.push("-c:v", shellQuotePosix(safeEncoder));
     }
     if (row.crf != null) {
       parts.push("-crf", String(row.crf));
     }
-    if (row.preset) {
-      parts.push("-preset", row.preset);
+    if (safePreset) {
+      parts.push("-preset", shellQuotePosix(safePreset));
     }
     parts.push("-c:a", "copy");
-    parts.push(safeOutput);
+    parts.push(shellQuotePosix(safeOutput));
     return parts.join(" ");
-  }, [row, inputPath, outputPath]);
+  }, [row.crf, inputPath, outputPath, safeEncoder, safePreset]);
 
   const copy = async () => {
     try {
@@ -719,6 +740,11 @@ function FfmpegModal({ row, onClose }: { row: EnrichedBenchmark; onClose: () =>
               Warning: Path contains special characters. Review the command carefully before running.
             </div>
           )}
+          {profileWarning && (
+            <div className={styles.pathWarning}>
+              Warning: Encoder or preset contained unsafe characters and was omitted from the generated command.
+            </div>
+          )}
           <div className={styles.kbdWrapper}>
             <pre className="kbd" aria-label="FFmpeg command"><code>{command}</code></pre>
             <button className={`copy-btn${copied ? " success" : ""}`} onClick={copy} aria-label="Copy command">
diff --git a/frontend/app/components/ContentRadarChart.tsx b/frontend/app/components/ContentRadarChart.tsx
index 1927acc..165f0cd 100644
--- a/frontend/app/components/ContentRadarChart.tsx
+++ b/frontend/app/components/ContentRadarChart.tsx
@@ -3,6 +3,7 @@
 import { useEffect, useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const CONTENT_CLASSES = ["mixed", "talkingHead", "action", "animation", "screen", "nature", "gaming"] as const;
@@ -68,11 +69,10 @@ export default function ContentRadarChart({ data, title = "Encoder Quality by Co
     return CONTENT_CLASSES.filter((cc) => seen.has(cc));
   }, [data]);
 
-  // Color is stable: keyed to index in options, not selectedData
-  const colorOf = (codec: string) => {
-    const idx = options.findIndex((d) => d.codec === codec);
-    return COLORS[(idx >= 0 ? idx : 0) % COLORS.length];
-  };
+  const colorByCodec = useMemo(
+    () => new Map(options.map((entry, i) => [entry.codec, COLORS[i % COLORS.length]])),
+    [options],
+  );
 
   const selectedData = options.filter((d) => selected.has(d.codec));
 
@@ -87,7 +87,7 @@ export default function ContentRadarChart({ data, title = "Encoder Quality by Co
         const lines = activeClasses
           .map((cc, i) => `${CONTENT_LABELS[cc] ?? cc}: <b>${(params.value[i] || 0).toFixed(1)}</b>`)
           .join("<br/>");
-        return `<b>${params.name}</b><br/>${lines}`;
+        return `<b>${escapeHtml(params.name)}</b><br/>${lines}`;
       },
     },
     radar: {
@@ -105,16 +105,15 @@ export default function ContentRadarChart({ data, title = "Encoder Quality by Co
         data: selectedData.map((cd) => ({
           name: cd.codec,
           value: activeClasses.map((cc) => cd.scores[cc] || 0),
-          lineStyle: { color: colorOf(cd.codec), width: 2 },
-          areaStyle: { color: colorOf(cd.codec), opacity: 0.12 },
-          itemStyle: { color: colorOf(cd.codec) },
+          lineStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0], width: 2 },
+          areaStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0], opacity: 0.12 },
+          itemStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0] },
           symbol: "circle",
           symbolSize: 4,
         })),
       },
     ],
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  }), [selectedData, activeClasses, t]);
+  }), [selectedData, activeClasses, colorByCodec, t]);
 
   if (allCodecs.length === 0 || activeClasses.length < 3) return null;
 
@@ -134,7 +133,7 @@ export default function ContentRadarChart({ data, title = "Encoder Quality by Co
         {options.map((entry) => {
           const isOn = selected.has(entry.codec);
           const disabled = !isOn && selected.size >= MAX_SELECTED;
-          const color = colorOf(entry.codec);
+          const color = colorByCodec.get(entry.codec) ?? COLORS[0];
           return (
             <button
               key={entry.codec}
diff --git a/frontend/app/components/CpuUtilHeatmap.tsx b/frontend/app/components/CpuUtilHeatmap.tsx
index 592b102..f3a479e 100644
--- a/frontend/app/components/CpuUtilHeatmap.tsx
+++ b/frontend/app/components/CpuUtilHeatmap.tsx
@@ -3,6 +3,7 @@
 import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const HEATMAP_KEY_SEP = "\u241F";
@@ -50,7 +51,9 @@ export default function CpuUtilHeatmap({ data, title = "CPU Utilization by Encod
       textStyle: { color: t.fg, fontSize: 12 },
       formatter: (params: { value: [number, number, number, number] }) => {
         const [pi, ci, util, count] = params.value;
-        return `<b>${codecs[ci]} / ${presets[pi]}</b><br/>CPU: <b>${util.toFixed(1)}%</b><br/>${count} run${count === 1 ? "" : "s"}`;
+        const codec = escapeHtml(codecs[ci] ?? "-");
+        const preset = escapeHtml(presets[pi] ?? "-");
+        return `<b>${codec} / ${preset}</b><br/>CPU: <b>${util.toFixed(1)}%</b><br/>${count} run${count === 1 ? "" : "s"}`;
       },
     },
     grid: { left: 100, right: 100, top: 12, bottom: 40, containLabel: false },
diff --git a/frontend/app/components/EChart.tsx b/frontend/app/components/EChart.tsx
index d082263..c7e270b 100644
--- a/frontend/app/components/EChart.tsx
+++ b/frontend/app/components/EChart.tsx
@@ -2,6 +2,7 @@
 
 import { useEffect, useRef } from "react";
 import * as echarts from "echarts/core";
+import type { EChartsCoreOption } from "echarts/core";
 import { BarChart, LineChart, ScatterChart, RadarChart, HeatmapChart } from "echarts/charts";
 import {
   GridComponent,
@@ -28,9 +29,7 @@ echarts.use([
   CanvasRenderer,
 ]);
 
-// Use a permissive type — ECharts validates the shape at runtime
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
-type EChartsOption = Record<string, any>;
+type EChartsOption = EChartsCoreOption;
 
 interface Props {
   option: EChartsOption;
diff --git a/frontend/app/components/EfficiencyChart.tsx b/frontend/app/components/EfficiencyChart.tsx
index 313f6e0..9f5f0cd 100644
--- a/frontend/app/components/EfficiencyChart.tsx
+++ b/frontend/app/components/EfficiencyChart.tsx
@@ -3,6 +3,7 @@
 import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
@@ -37,7 +38,7 @@ export default function EfficiencyChart({ data, title = "Encoding Efficiency (FP
       borderColor: t.border,
       textStyle: { color: t.fg },
       formatter: (params: { name: string; value: number }[]) =>
-        `${params[0].name}<br/><b>${params[0].value.toFixed(3)} FPS/W</b>`,
+        `${escapeHtml(params[0].name)}<br/><b>${params[0].value.toFixed(3)} FPS/W</b>`,
     },
     grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
     xAxis: {
diff --git a/frontend/app/components/FpsByCodecChart.tsx b/frontend/app/components/FpsByCodecChart.tsx
index e441c9b..9750589 100644
--- a/frontend/app/components/FpsByCodecChart.tsx
+++ b/frontend/app/components/FpsByCodecChart.tsx
@@ -4,6 +4,7 @@ import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const FALLBACK_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
@@ -40,7 +41,7 @@ export default function FpsByCodecChart({ data, title = "Average FPS by Codec" }
       borderColor: t.border,
       textStyle: { color: t.fg },
       formatter: (params: { name: string; value: number }[]) =>
-        `${params[0].name}<br/><b>${params[0].value.toFixed(1)} FPS</b>`,
+        `${escapeHtml(params[0].name)}<br/><b>${params[0].value.toFixed(1)} FPS</b>`,
     },
     grid: { left: 48, right: 12, top: 12, bottom: bars.length > 5 ? 72 : 48, containLabel: false },
     xAxis: {
diff --git a/frontend/app/components/GpuUtilChart.tsx b/frontend/app/components/GpuUtilChart.tsx
index 0ec4260..bb1e7d4 100644
--- a/frontend/app/components/GpuUtilChart.tsx
+++ b/frontend/app/components/GpuUtilChart.tsx
@@ -3,6 +3,7 @@
 import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
@@ -37,7 +38,7 @@ export default function GpuUtilChart({ data, title = "Average GPU Utilization by
       borderColor: t.border,
       textStyle: { color: t.fg },
       formatter: (params: { name: string; value: number }[]) =>
-        `${params[0].name}<br/><b>${params[0].value.toFixed(1)}% GPU</b>`,
+        `${escapeHtml(params[0].name)}<br/><b>${params[0].value.toFixed(1)}% GPU</b>`,
     },
     grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
     xAxis: {
diff --git a/frontend/app/components/GroupedSizeByPreset.tsx b/frontend/app/components/GroupedSizeByPreset.tsx
index b5253a4..07bc3c3 100644
--- a/frontend/app/components/GroupedSizeByPreset.tsx
+++ b/frontend/app/components/GroupedSizeByPreset.tsx
@@ -3,6 +3,7 @@
 import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
@@ -52,7 +53,7 @@ export default function GroupedSizeByPreset({ data }: { data: Benchmark[] }) {
       formatter: (params: { seriesName: string; value: number }[]) =>
         params
           .filter((p) => p.value > 0)
-          .map((p) => `${p.seriesName}: <b>${p.value.toFixed(2)} MB</b>`)
+          .map((p) => `${escapeHtml(p.seriesName)}: <b>${p.value.toFixed(2)} MB</b>`)
           .join("<br/>"),
     },
     legend: {
diff --git a/frontend/app/components/HardwareRecommendation.tsx b/frontend/app/components/HardwareRecommendation.tsx
index 30fab2d..e12cae2 100644
--- a/frontend/app/components/HardwareRecommendation.tsx
+++ b/frontend/app/components/HardwareRecommendation.tsx
@@ -17,6 +17,12 @@ type Priority = "speed" | "quality" | "efficiency" | "balanced";
 
 const PROFILE_KEY_SEP = "\u241F"; // unit separator — safe for CPU/GPU model names
 
+type NormalizationMaxima = {
+  maxFps: number;
+  maxVmaf: number;
+  maxEff: number;
+};
+
 export default function HardwareRecommendation({ data }: { data: Benchmark[] }) {
   const [codec, setCodec] = useState("");
   const [priority, setPriority] = useState<Priority>("balanced");
@@ -48,24 +54,27 @@ export default function HardwareRecommendation({ data }: { data: Benchmark[] })
       results.push({ cpuModel, gpuModel, avgFps, avgVmaf, avgPower, fpsPerWatt, samples: p.fps.length });
     }
 
-    results.sort((a, b) => {
-      switch (priority) {
-        case "speed":
-          return b.avgFps - a.avgFps;
-        case "quality":
-          return (b.avgVmaf ?? 0) - (a.avgVmaf ?? 0);
-        case "efficiency":
-          return (b.fpsPerWatt ?? 0) - (a.fpsPerWatt ?? 0);
-        case "balanced":
-        default: {
-          const scoreA = normalizedScore(a, results);
-          const scoreB = normalizedScore(b, results);
-          return scoreB - scoreA;
-        }
-      }
-    });
-
-    return results.slice(0, 20);
+    if (priority === "speed") {
+      results.sort((a, b) => b.avgFps - a.avgFps);
+      return results.slice(0, 20);
+    }
+
+    if (priority === "quality") {
+      results.sort((a, b) => (b.avgVmaf ?? 0) - (a.avgVmaf ?? 0));
+      return results.slice(0, 20);
+    }
+
+    if (priority === "efficiency") {
+      results.sort((a, b) => (b.fpsPerWatt ?? 0) - (a.fpsPerWatt ?? 0));
+      return results.slice(0, 20);
+    }
+
+    const maxima = buildNormalizationMaxima(results);
+    return results
+      .map((hw) => ({ hw, score: normalizedScore(hw, maxima) }))
+      .sort((a, b) => b.score - a.score)
+      .slice(0, 20)
+      .map((entry) => entry.hw);
   }, [data, codec, priority]);
 
   return (
@@ -131,15 +140,21 @@ export default function HardwareRecommendation({ data }: { data: Benchmark[] })
   );
 }
 
-function normalizedScore(hw: HardwareProfile, all: HardwareProfile[]): number {
-  let maxFps = 1, maxVmaf = 1, maxEff = 1;
-  for (const h of all) {
-    if (h.avgFps > maxFps) maxFps = h.avgFps;
-    if (h.avgVmaf != null && h.avgVmaf > maxVmaf) maxVmaf = h.avgVmaf;
-    if (h.fpsPerWatt != null && h.fpsPerWatt > maxEff) maxEff = h.fpsPerWatt;
+function buildNormalizationMaxima(all: HardwareProfile[]): NormalizationMaxima {
+  let maxFps = 1;
+  let maxVmaf = 1;
+  let maxEff = 1;
+  for (const hw of all) {
+    if (hw.avgFps > maxFps) maxFps = hw.avgFps;
+    if (hw.avgVmaf != null && hw.avgVmaf > maxVmaf) maxVmaf = hw.avgVmaf;
+    if (hw.fpsPerWatt != null && hw.fpsPerWatt > maxEff) maxEff = hw.fpsPerWatt;
   }
-  const speedScore = hw.avgFps / maxFps;
-  const qualityScore = hw.avgVmaf != null ? hw.avgVmaf / maxVmaf : 0.5;
-  const effScore = hw.fpsPerWatt != null ? hw.fpsPerWatt / maxEff : 0.3;
+  return { maxFps, maxVmaf, maxEff };
+}
+
+function normalizedScore(hw: HardwareProfile, maxima: NormalizationMaxima): number {
+  const speedScore = hw.avgFps / maxima.maxFps;
+  const qualityScore = hw.avgVmaf != null ? hw.avgVmaf / maxima.maxVmaf : 0.5;
+  const effScore = hw.fpsPerWatt != null ? hw.fpsPerWatt / maxima.maxEff : 0.3;
   return 0.4 * speedScore + 0.35 * qualityScore + 0.25 * effScore;
 }
diff --git a/frontend/app/components/PowerConsumptionChart.tsx b/frontend/app/components/PowerConsumptionChart.tsx
index cc40de9..74db66b 100644
--- a/frontend/app/components/PowerConsumptionChart.tsx
+++ b/frontend/app/components/PowerConsumptionChart.tsx
@@ -3,6 +3,7 @@
 import { useMemo } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const CHART_COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
@@ -37,7 +38,7 @@ export default function PowerConsumptionChart({ data, title = "Average GPU Power
       borderColor: t.border,
       textStyle: { color: t.fg },
       formatter: (params: { name: string; value: number }[]) =>
-        `${params[0].name}<br/><b>${params[0].value.toFixed(1)} W</b>`,
+        `${escapeHtml(params[0].name)}<br/><b>${params[0].value.toFixed(1)} W</b>`,
     },
     grid: { left: 52, right: 12, top: 12, bottom: bars.length > 4 ? 72 : 48, containLabel: false },
     xAxis: {
diff --git a/frontend/app/components/RateDistortionChart.tsx b/frontend/app/components/RateDistortionChart.tsx
index 31cccca..37f9724 100644
--- a/frontend/app/components/RateDistortionChart.tsx
+++ b/frontend/app/components/RateDistortionChart.tsx
@@ -4,6 +4,7 @@ import { useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 type QualityMetric = "vmaf" | "ssim" | "psnr";
@@ -63,7 +64,7 @@ export default function RateDistortionChart({ data }: { data: Benchmark[] }) {
       formatter: (params: { seriesName: string; value: [number, number] }[]) =>
         params
           .filter((p) => p.value[1] != null)
-          .map((p) => `${shortName(p.seriesName)}: <b>${metric === "ssim" ? p.value[1].toFixed(4) : p.value[1].toFixed(2)}</b>`)
+          .map((p) => `${escapeHtml(shortName(p.seriesName))}: <b>${metric === "ssim" ? p.value[1].toFixed(4) : p.value[1].toFixed(2)}</b>`)
           .join("<br/>") + `<br/><span style="color:${t.muted};font-size:10px">${params[0]?.value[0]?.toFixed(2)} MB</span>`,
     },
     grid: { left: 52, right: 12, top: 12, bottom: 32, containLabel: false },
diff --git a/frontend/app/components/ResolutionComparisonChart.tsx b/frontend/app/components/ResolutionComparisonChart.tsx
index 5f9eb08..7abbe29 100644
--- a/frontend/app/components/ResolutionComparisonChart.tsx
+++ b/frontend/app/components/ResolutionComparisonChart.tsx
@@ -3,6 +3,7 @@
 import { useEffect, useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 
 const RESOLUTION_ORDER = ["480p", "720p", "1080p", "1440p", "4k"];
@@ -76,7 +77,7 @@ export default function ResolutionComparisonChart({ data, title = "FPS by Resolu
       formatter: (params: { seriesName: string; value: number }[]) =>
         params
           .filter((p) => p.value > 0)
-          .map((p) => `${p.seriesName}: <b>${p.value.toFixed(1)} FPS</b>`)
+          .map((p) => `${escapeHtml(p.seriesName)}: <b>${p.value.toFixed(1)} FPS</b>`)
           .join("<br/>"),
     },
     grid: { left: 52, right: 12, top: 8, bottom: 32, containLabel: false },
diff --git a/frontend/app/components/ScatterFpsSize.tsx b/frontend/app/components/ScatterFpsSize.tsx
index 633fa41..169cfd4 100644
--- a/frontend/app/components/ScatterFpsSize.tsx
+++ b/frontend/app/components/ScatterFpsSize.tsx
@@ -4,6 +4,7 @@ import { useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 import styles from "./ScatterFpsSize.module.css";
 
@@ -43,7 +44,7 @@ export default function ScatterFpsSize({ data }: { data: Benchmark[] }) {
       borderColor: t.border,
       textStyle: { color: t.fg, fontSize: 12 },
       formatter: (params: { seriesName: string; value: [number, number]; data: { label: string } }) =>
-        `<b>${params.data.label}</b><br/>Size: ${params.value[0].toFixed(2)} MB<br/>FPS: ${params.value[1].toFixed(1)}`,
+        `<b>${escapeHtml(params.data.label)}</b><br/>Size: ${params.value[0].toFixed(2)} MB<br/>FPS: ${params.value[1].toFixed(1)}`,
     },
     legend: {
       data: series.map((s) => s.name),
diff --git a/frontend/app/components/ScatterSsimVmaf.tsx b/frontend/app/components/ScatterSsimVmaf.tsx
index 8b4991f..cc5a534 100644
--- a/frontend/app/components/ScatterSsimVmaf.tsx
+++ b/frontend/app/components/ScatterSsimVmaf.tsx
@@ -4,6 +4,7 @@ import { useMemo, useState } from "react";
 import type { Benchmark } from "./BenchmarksTable";
 import { CODEC_COLORS, codecColorKey } from "../lib/chartColors";
 import { useChartTheme } from "../lib/useChartTheme";
+import { escapeHtml } from "../lib/escapeHtml";
 import EChart from "./EChart";
 import styles from "./ScatterFpsSize.module.css";
 
@@ -45,7 +46,7 @@ export default function ScatterSsimVmaf({ data }: { data: Benchmark[] }) {
       borderColor: t.border,
       textStyle: { color: t.fg, fontSize: 12 },
       formatter: (params: { value: [number, number]; data: { label: string } }) =>
-        `<b>${params.data.label}</b><br/>SSIM: ${params.value[0].toFixed(4)}<br/>VMAF: ${params.value[1].toFixed(1)}`,
+        `<b>${escapeHtml(params.data.label)}</b><br/>SSIM: ${params.value[0].toFixed(4)}<br/>VMAF: ${params.value[1].toFixed(1)}`,
     },
     legend: {
       data: series.map((s) => s.name),
diff --git a/frontend/app/hardware/page.tsx b/frontend/app/hardware/page.tsx
index 9ea2b19..7b25d25 100644
--- a/frontend/app/hardware/page.tsx
+++ b/frontend/app/hardware/page.tsx
@@ -5,10 +5,11 @@ import EfficiencyChart from "../components/EfficiencyChart";
 import GpuUtilChart from "../components/GpuUtilChart";
 import PowerConsumptionChart from "../components/PowerConsumptionChart";
 import CpuUtilHeatmap from "../components/CpuUtilHeatmap";
+import LazyChart from "../components/LazyChart";
 import { fetchBenchmarks } from "../lib/fetchBenchmarks";
 import styles from "./page.module.css";
 
-export const dynamic = "force-dynamic";
+export const revalidate = 60;
 
 export default async function HardwarePage() {
   let data: Benchmark[] = [];
@@ -51,13 +52,13 @@ export default async function HardwarePage() {
 
       <h2 className={styles.subheading}>Efficiency Metrics</h2>
       <div className={styles.grid}>
-        <ErrorBoundary><EfficiencyChart data={data} /></ErrorBoundary>
-        <ErrorBoundary><GpuUtilChart data={data} /></ErrorBoundary>
-        <ErrorBoundary><PowerConsumptionChart data={data} /></ErrorBoundary>
+        <LazyChart><ErrorBoundary><EfficiencyChart data={data} /></ErrorBoundary></LazyChart>
+        <LazyChart><ErrorBoundary><GpuUtilChart data={data} /></ErrorBoundary></LazyChart>
+        <LazyChart><ErrorBoundary><PowerConsumptionChart data={data} /></ErrorBoundary></LazyChart>
       </div>
 
       <div style={{ marginTop: 16 }}>
-        <ErrorBoundary><CpuUtilHeatmap data={data} /></ErrorBoundary>
+        <LazyChart><ErrorBoundary><CpuUtilHeatmap data={data} /></ErrorBoundary></LazyChart>
       </div>
     </div>
   );
diff --git a/frontend/app/leaderboards/page.tsx b/frontend/app/leaderboards/page.tsx
index c730c87..4b1f246 100644
--- a/frontend/app/leaderboards/page.tsx
+++ b/frontend/app/leaderboards/page.tsx
@@ -4,7 +4,7 @@ import LeaderboardTable from "../components/LeaderboardTable";
 import { fetchBenchmarks } from "../lib/fetchBenchmarks";
 import styles from "./page.module.css";
 
-export const dynamic = "force-dynamic";
+export const revalidate = 60;
 
 type GroupAgg = {
   key: string;
diff --git a/frontend/app/lib/escapeHtml.ts b/frontend/app/lib/escapeHtml.ts
new file mode 100644
index 0000000..8b62dd3
--- /dev/null
+++ b/frontend/app/lib/escapeHtml.ts
@@ -0,0 +1,11 @@
+const HTML_ESCAPE_MAP: Record<string, string> = {
+  "&": "&amp;",
+  "<": "&lt;",
+  ">": "&gt;",
+  '"': "&quot;",
+  "'": "&#39;",
+};
+
+export function escapeHtml(value: string): string {
+  return value.replace(/[&<>"']/g, (char) => HTML_ESCAPE_MAP[char] ?? char);
+}
diff --git a/frontend/app/lib/fetchBenchmarks.ts b/frontend/app/lib/fetchBenchmarks.ts
index 2d1f77d..b862b72 100644
--- a/frontend/app/lib/fetchBenchmarks.ts
+++ b/frontend/app/lib/fetchBenchmarks.ts
@@ -1,30 +1,74 @@
-import { headers } from "next/headers";
 import type { Benchmark } from "./types";
 
-export async function fetchBenchmarks(): Promise<Benchmark[]> {
-  const internal = process.env.INTERNAL_API_BASE_URL;
+const PAGE_SIZE = 500;
+const MAX_PAGES = 50;
+const FETCH_TIMEOUT_MS = 10_000;
+export const BENCHMARKS_REVALIDATE_SECONDS = 60;
 
-  let host = "localhost:3000";
-  let proto = "http";
-  try {
-    const h = await headers();
-    host = h.get("x-forwarded-host") || h.get("host") || "localhost:3000";
-    proto = h.get("x-forwarded-proto") || "http";
-  } catch {
-    // Headers unavailable, use defaults
+function parseTotalCount(raw: string | null): number | null {
+  if (!raw) return null;
+  const parsed = Number(raw);
+  return Number.isFinite(parsed) && parsed >= 0 ? parsed : null;
+}
+
+function resolveAppOrigin(): string {
+  const envOrigin = process.env.APP_URL || process.env.NEXT_PUBLIC_APP_URL;
+  if (envOrigin) return envOrigin.replace(/\/+$/, "");
+  if (process.env.VERCEL_URL) return `https://${process.env.VERCEL_URL}`;
+  const port = process.env.PORT || "3000";
+  return `http://127.0.0.1:${port}`;
+}
+
+async function fetchBenchmarkPage(baseUrl: string, skip: number, limit: number): Promise<{ data: Benchmark[]; total: number | null }> {
+  const url = new URL(baseUrl);
+  url.searchParams.set("limit", String(limit));
+  url.searchParams.set("skip", String(skip));
+  url.searchParams.set("total", "1");
+  const res = await fetch(url.toString(), {
+    signal: AbortSignal.timeout(FETCH_TIMEOUT_MS),
+    next: { revalidate: BENCHMARKS_REVALIDATE_SECONDS },
+  });
+  if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
+  const total = parseTotalCount(res.headers.get("X-Total-Count"));
+  const data = await res.json() as Benchmark[];
+  return { data, total };
+}
+
+async function fetchAllBenchmarksFromBase(baseUrl: string): Promise<Benchmark[]> {
+  const rows: Benchmark[] = [];
+  const seenIds = new Set<string>();
+  let skip = 0;
+  let total: number | null = null;
+
+  for (let page = 0; page < MAX_PAGES; page++) {
+    const { data, total: reportedTotal } = await fetchBenchmarkPage(baseUrl, skip, PAGE_SIZE);
+    if (total == null) total = reportedTotal;
+    if (data.length === 0) break;
+
+    for (const row of data) {
+      if (seenIds.has(row.id)) continue;
+      seenIds.add(row.id);
+      rows.push(row);
+    }
+
+    skip += data.length;
+    if (total != null && rows.length >= total) break;
+    if (data.length < PAGE_SIZE && total == null) break;
   }
 
-  const origin = `${proto}://${host}`;
-  const primaryUrl = internal ? `${internal}/query` : `${origin}/api/query`;
+  return rows;
+}
+
+export async function fetchBenchmarks(): Promise<Benchmark[]> {
+  const internal = process.env.INTERNAL_API_BASE_URL;
+  const fallbackBase = `${resolveAppOrigin()}/api/query`;
+  const primaryBase = internal ? `${internal}/query` : fallbackBase;
+
   try {
-    const res = await fetch(primaryUrl, { signal: AbortSignal.timeout(10000) });
-    if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-    return res.json();
+    return await fetchAllBenchmarksFromBase(primaryBase);
   } catch (err) {
-    if (internal) {
-      const res = await fetch(`${origin}/api/query`, { signal: AbortSignal.timeout(10000) });
-      if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-      return res.json();
+    if (internal && fallbackBase) {
+      return fetchAllBenchmarksFromBase(fallbackBase);
     }
     throw err;
   }
diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx
index b1d6774..24e8a89 100644
--- a/frontend/app/page.tsx
+++ b/frontend/app/page.tsx
@@ -5,7 +5,7 @@ import StatsCards from "./components/StatsCards";
 import { fetchBenchmarks } from "./lib/fetchBenchmarks";
 import styles from "./page.module.css";
 
-export const dynamic = "force-dynamic";
+export const revalidate = 60;
 
 export default async function Home() {
   let data: Benchmark[] = [];
diff --git a/frontend/next.config.mjs b/frontend/next.config.mjs
index 94c5a01..37b7e87 100644
--- a/frontend/next.config.mjs
+++ b/frontend/next.config.mjs
@@ -1,10 +1,20 @@
 /** @type {import('next').NextConfig} */
 const nextConfig = {
-  eslint: {
-    ignoreDuringBuilds: true,
-  },
+  headers: async () => [
+    {
+      source: "/(.*)",
+      headers: [
+        { key: "Referrer-Policy", value: "no-referrer" },
+        { key: "X-Frame-Options", value: "DENY" },
+        { key: "X-Content-Type-Options", value: "nosniff" },
+        { key: "Permissions-Policy", value: "geolocation=(), microphone=(), camera=()" },
+        {
+          key: "Content-Security-Policy",
+          value: "default-src 'self'; img-src 'self' data:; style-src 'self' 'unsafe-inline'; script-src 'self' 'unsafe-inline'; object-src 'none'; base-uri 'self'; frame-ancestors 'none'",
+        },
+      ],
+    },
+  ],
 };
 
 export default nextConfig;
-
-
diff --git a/frontend/next.config.ts b/frontend/next.config.ts
deleted file mode 100644
index 48c7e52..0000000
--- a/frontend/next.config.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-import type { NextConfig } from "next";
-
-const nextConfig: NextConfig = {
-  // Skip ESLint during production builds (handled separately in CI)
-  eslint: {
-    ignoreDuringBuilds: true,
-  },
-  headers: async () => [
-    {
-      source: '/(.*)',
-      headers: [
-        { key: 'Referrer-Policy', value: 'no-referrer' },
-        { key: 'X-Frame-Options', value: 'DENY' },
-        { key: 'X-Content-Type-Options', value: 'nosniff' },
-        { key: 'Permissions-Policy', value: "geolocation=(), microphone=(), camera=()" },
-        // Basic CSP; adjust as needed if adding external resources
-        { key: 'Content-Security-Policy', value: "default-src 'self'; img-src 'self' data:; style-src 'self' 'unsafe-inline'; script-src 'self'; object-src 'none'; base-uri 'self'; frame-ancestors 'none'" },
-      ],
-    },
-  ],
-};
-
-export default nextConfig;

From bdff08ba3c0e4ef40df01c6350c76a063bfe6044 Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Thu, 19 Feb 2026 13:40:48 -0800
Subject: [PATCH 4/7] Prepare deployment fixes

---
 .github/workflows/api-smoke.yml               |   12 +-
 .gitignore                                    |   35 +-
 README.md                                     |   46 +-
 client/config.py                              |   60 +-
 client/ffmpeg.py                              |  127 -
 client/hardware_monitor.py                    |   50 +-
 client/main.py                                |  194 +-
 client/network.py                             |  121 +-
 client/presets.json                           |   11 -
 client/test_videos.py                         |  249 -
 client/ui.py                                  |    5 +-
 deploy.sh                                     |  195 +
 docker-compose.yml                            |    2 +-
 env.example                                   |    9 +
 frontend/README.md                            |   45 +-
 frontend/app/analytics/page.tsx               |    6 -
 frontend/app/components/BenchmarksTable.tsx   |   51 +-
 frontend/app/components/ContentRadarChart.tsx |  162 -
 .../app/components/PassSpeedComparison.tsx    |   96 -
 .../components/ResolutionComparisonChart.tsx  |  153 -
 frontend/app/lib/fetchBenchmarksClient.ts     |   13 -
 frontend/app/lib/types.ts                     |    3 -
 frontend/eslint.config.mjs                    |   25 -
 frontend/package-lock.json                    | 4937 +----------------
 frontend/package.json                         |    8 +-
 frontend/public/file.svg                      |    1 -
 frontend/public/globe.svg                     |    1 -
 frontend/public/next.svg                      |    1 -
 frontend/public/vercel.svg                    |    1 -
 frontend/public/window.svg                    |    1 -
 frontend/tsconfig.json                        |   24 +-
 scripts/NUKE_DATA/NUKE_DATA.sh                |    1 -
 scripts/api_hardening_test.sh                 |  127 -
 scripts/build_linux_client.sh                 |   45 -
 scripts/build_macos_client.sh                 |   96 +-
 scripts/build_windows_client.ps1              |  169 -
 scripts/build_windows_client.sh               |  163 +-
 scripts/client_test.sh                        |   20 +
 scripts/dev_frontend.sh                       |   33 -
 scripts/e2e.sh                                |  111 -
 scripts/local_test.sh                         |   10 +-
 scripts/manage_keys.sh                        |   16 -
 scripts/redploy.sh                            |  129 -
 scripts/setup_env.sh                          |  165 -
 scripts/test.sh                               |  495 ++
 server/env.example                            |    9 +
 server/package-lock.json                      |  697 ---
 server/package.json                           |    3 +-
 server/prisma/schema.prisma                   |   14 +-
 server/src/index.ts                           |   18 +-
 server/src/routes.ts                          |   97 +-
 server/src/seedDummyDatabase.ts               |   44 +-
 server/test/routes.smoke.test.js              |   69 +-
 53 files changed, 1660 insertions(+), 7515 deletions(-)
 delete mode 100644 client/test_videos.py
 create mode 100755 deploy.sh
 delete mode 100644 frontend/app/components/ContentRadarChart.tsx
 delete mode 100644 frontend/app/components/PassSpeedComparison.tsx
 delete mode 100644 frontend/app/components/ResolutionComparisonChart.tsx
 delete mode 100644 frontend/app/lib/fetchBenchmarksClient.ts
 delete mode 100644 frontend/eslint.config.mjs
 delete mode 100644 frontend/public/file.svg
 delete mode 100644 frontend/public/globe.svg
 delete mode 100644 frontend/public/next.svg
 delete mode 100644 frontend/public/vercel.svg
 delete mode 100644 frontend/public/window.svg
 delete mode 100644 scripts/NUKE_DATA/NUKE_DATA.sh
 delete mode 100755 scripts/api_hardening_test.sh
 delete mode 100755 scripts/build_linux_client.sh
 delete mode 100644 scripts/build_windows_client.ps1
 mode change 100644 => 100755 scripts/build_windows_client.sh
 create mode 100755 scripts/client_test.sh
 delete mode 100755 scripts/dev_frontend.sh
 delete mode 100755 scripts/e2e.sh
 delete mode 100755 scripts/manage_keys.sh
 delete mode 100755 scripts/redploy.sh
 delete mode 100755 scripts/setup_env.sh
 create mode 100755 scripts/test.sh

diff --git a/.github/workflows/api-smoke.yml b/.github/workflows/api-smoke.yml
index a23a6f0..8b6fbcb 100644
--- a/.github/workflows/api-smoke.yml
+++ b/.github/workflows/api-smoke.yml
@@ -57,9 +57,11 @@ jobs:
             -H "Content-Type: application/json" \
             -d "$payload" | jq .
 
-      - name: API Hardening (non-destructive)
-        run: bash scripts/api_hardening_test.sh
-        env:
-          ALLOW_MUTATION_REMOTE: '0'
-
+      - name: Validation and method guard
+        run: |
+          set -euo pipefail
+          code=$(curl -s -o /dev/null -w "%{http_code}" -X POST "$API_BASE_URL/submit" -H "Content-Type: application/json" -d '{}')
+          test "$code" = "400"
+          code=$(curl -s -o /dev/null -w "%{http_code}" -X GET "$API_BASE_URL/submit")
+          test "$code" = "405"
 
diff --git a/.gitignore b/.gitignore
index a1a0435..efea13c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,8 @@
 /.venv
 .venv/
 .myenv/
-client/.venv
+client/.venv/
+.python-version
 client/build/
 client/dist/
 # FFmpeg binaries (too large for GitHub)
@@ -35,20 +36,38 @@ frontend/.next/
 npm-debug.log*
 yarn-debug.log*
 yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
 .pnpm-store/
 .turbo/
+.npm/
+.eslintcache
 
 # Env
 .env
+.env.*
+!.env.example
 server/.env
 frontend/.env
 client/.env
+server/.env.*
+frontend/.env.*
+client/.env.*
+!server/env.example
+!frontend/.env.example
+!client/.env.example
+.envrc
+.direnv/
 
 # Build artifacts
+.build/
 dist/
 server/dist/
 frontend/.firebase/
 frontend/.cache/
+*.tsbuildinfo
+/encodingdb-client-macos
+/encodingdb-client-windows.exe
 
 # Prisma
 server/prisma/dev.db*
@@ -70,19 +89,33 @@ dist/
 
 # Logs
 *.log
+*.out
+*.err
 logs/
 client/dist/windows/build.log
 
 # Coverage / tests
 coverage/
 .coverage*
+.test-reports/
+scripts/.test-reports/
+.pytest_cache/
+.mypy_cache/
+.ruff_cache/
+.pyre/
+.tox/
+.nox/
+.hypothesis/
 
 # Docker
 *.pid
+*.pid.lock
+docker-compose.override.yml
 
 # IDE / editor
 .idea/
 .vscode/
+.fleet/
 *.swp
 
 # Nginx certs (place externally)
diff --git a/README.md b/README.md
index d43311a..ee1284f 100644
--- a/README.md
+++ b/README.md
@@ -31,12 +31,12 @@ Encoder performance claims are often hard to compare because workloads, settings
 - `server/`: Express API, Zod validation, Prisma models/migrations, ingest + query pipeline.
 - `frontend/`: Next.js 15 app with benchmark table, analytics, leaderboards, and hardware pages.
 - `nginx/`: reverse-proxy configuration for production.
-- `scripts/`: local testing, e2e checks, hardening checks, packaging, deployment helpers.
+- `scripts/`: consolidated operational scripts (`local_test.sh`, `client_test.sh`, `build_macos_client.sh`, `build_windows_client.sh`).
 - `sample.mp4`: canonical baseline clip used by the benchmark flow.
 
 ## Current platform capabilities
 
-- Benchmark dimensions: codec/encoder, preset, CRF, content class, resolution, pass count.
+- Benchmark dimensions: codec/encoder, preset, CRF, content class, resolution (single-pass CRF mode).
 - Core quality/performance: FPS, file size, VMAF, SSIM, PSNR.
 - Hardware telemetry: utilization, power, memory, temperatures, CPU frequency, process I/O and CPU time, battery state.
 - Data integrity controls: canonical input hash checks, idempotent payload hash, accepted/suspect/rejected submission status.
@@ -58,7 +58,7 @@ The client submits an explicit allowlist of fields. This prevents accidental inc
 | Category | Fields | Why this is collected |
 | --- | --- | --- |
 | System profile | `cpuModel`, `gpuModel`, `ramGB`, `os` | Normalizes comparisons across hardware and OS environments. |
-| Workload configuration | `codec`, `preset`, `crf`, `contentClass`, `resolution`, `passes`, `inputHash` | Ensures two rows are only compared when workload settings are equivalent. |
+| Workload configuration | `codec`, `preset`, `crf`, `contentClass`, `resolution`, `passes` (fixed to `1`), `inputHash` | Ensures benchmark rows are compared only when workload settings are equivalent. |
 | Core benchmark outcome | `fps`, `fileSizeBytes`, `vmaf`, `ssim`, `psnr`, `runMs` | Captures speed, size, and perceptual quality outcomes of each encode. |
 | Runtime telemetry (efficiency) | `gpuUtilAvg`, `gpuPowerAvgW`, `gpuMemPeakMB`, `cpuUtilAvg`, `cpuUtilMax`, `peakMemoryMB`, `thermalThrottle` | Enables efficiency and stability analysis beyond raw FPS. |
 | Extended telemetry | `gpuTempMaxC`, `cpuFreqAvgMHz`, `cpuTempMaxC`, `ffmpegCpuUtilAvg`, `ffmpegCpuUtilMax`, `ffmpegReadMB`, `ffmpegWriteMB`, `ffmpegCpuTimeS`, `batteryPercentStart`, `batteryPercentEnd`, `batteryPercentDrop`, `powerSource`, `sampleCount`, `monitorDurationMs` | Improves confidence scoring, thermal context, and power/runtime interpretation. |
@@ -102,8 +102,7 @@ python client/main.py \
   --crf 24 \
   --batch-size 0 \
   --content-class mixed \
-  --resolution 1080p \
-  --passes 1
+  --resolution 1080p
 ```
 
 Common flags:
@@ -129,6 +128,12 @@ Common flags:
 
 This script can stand up DB + API (+ frontend by default), apply migrations, seed test data, and run readiness checks.
 
+To launch the client in its default interactive mode:
+
+```bash
+./scripts/client_test.sh
+```
+
 ### Option B: manual setup
 
 1. Configure env files from `env.example` and `server/env.example`.
@@ -202,51 +207,42 @@ Additional controls:
 
 ## Build packaged clients
 
-Windows:
-
-```powershell
-scripts/build_windows_client.ps1
-```
-
 macOS:
 
 ```bash
 ./scripts/build_macos_client.sh
 ```
 
-Linux:
+Windows (Git Bash/MSYS/WSL with Windows Python available):
 
 ```bash
-./scripts/build_linux_client.sh
+./scripts/build_windows_client.sh
 ```
 
-All packaging scripts expect platform FFmpeg/ffprobe binaries under `client/bin/<platform>/`.
+Both packaging scripts expect platform FFmpeg/ffprobe binaries under `client/bin/<platform>/`.
 
 ## Testing and validation scripts
 
 - `server/test/routes.smoke.test.js`: server smoke tests.
-- `scripts/e2e.sh`: local end-to-end benchmark flow.
-- `scripts/api_hardening_test.sh`: API validation, limits, and resilience checks.
+- `scripts/local_test.sh`: local DB/API/frontend bring-up with readiness checks.
+- `scripts/client_test.sh`: launches the client in default interactive mode.
 
 ## Production deployment
 
-1. Generate env files:
+1. Configure env files from `env.example` and `server/env.example`.
+2. One-command deploy (pull `main`, build, migrate, and start all services):
 
 ```bash
-./scripts/setup_env.sh --domain your-domain.example
+./deploy.sh
 ```
 
-2. Build and run:
+3. Manual compose alternative:
 
 ```bash
 docker compose -f docker-compose.prod.yml up -d --build
 ```
 
-3. For scripted updates on a deployment host:
-
-```bash
-./scripts/redploy.sh
-```
+Security note: for hardened public deployment, set `INGEST_MODE=signed` and a strong `INGEST_HMAC_SECRET` in `.env`.
 
 Frontend-only deployment notes are in `frontend/DEPLOYMENT.md`.
 
@@ -254,6 +250,7 @@ Frontend-only deployment notes are in `frontend/DEPLOYMENT.md`.
 
 - Canonical clip integrity is enforced by SHA256 (`sample.mp4`).
 - Multi-content/resolution fields are supported in schema and UI; the canonical sample remains the default guaranteed clip path.
+- Encoding mode is intentionally fixed to CRF single-pass (`passes=1`) across client, ingest, and frontend.
 - Some telemetry fields are platform-dependent and may be unavailable on certain systems (for example, GPU power on non-NVIDIA hardware).
 
 ## Contributing
@@ -267,4 +264,3 @@ Issues and PRs are welcome. When contributing:
 ## License
 
 Apache 2.0
-
diff --git a/client/config.py b/client/config.py
index 5a5e486..53b40f6 100644
--- a/client/config.py
+++ b/client/config.py
@@ -4,6 +4,7 @@
 import sys
 import tempfile
 import threading
+import math
 from dataclasses import dataclass, field
 from typing import Optional, Dict, Any, List, Tuple
 
@@ -45,7 +46,7 @@
 
 _ALLOWED_PAYLOAD_KEYS: Tuple[str, ...] = (
     'cpuModel', 'gpuModel', 'ramGB', 'os',
-    'codec', 'preset', 'crf', 'contentClass', 'resolution', 'passes',
+    'codec', 'preset', 'crf', 'passes',
     'fps', 'vmaf', 'ssim', 'psnr', 'fileSizeBytes', 'notes',
     'ffmpegVersion', 'encoderName', 'clientVersion', 'inputHash', 'runMs',
     'gpuUtilAvg', 'gpuPowerAvgW', 'gpuMemPeakMB',
@@ -68,7 +69,7 @@
 _BASELINE_ROWS_CACHE_TS: float = 0.0
 _BASELINE_ROWS_CACHE_TTL: float = 1800.0  # 30 minutes
 
-# --- Cross-platform binary resolution helpers ---
+# --- Cross-platform binary lookup helpers ---
 
 _FFMPEG_EXE: Optional[str] = None
 _FFPROBE_EXE: Optional[str] = None
@@ -200,6 +201,53 @@ def ffprobe_exe() -> str:
     return "ffprobe"
 
 
+CPU_FREQ_MIN_MHZ = 100.0
+CPU_FREQ_MAX_MHZ = 10_000.0
+
+
+def normalize_cpu_freq_mhz(raw_value: Any, *, reference_mhz: Optional[float] = None) -> Optional[float]:
+    """Normalize raw CPU frequency readings to MHz.
+
+    Some platforms/drivers report frequency in GHz, KHz, or Hz. This function
+    maps those variants to MHz and drops implausible values.
+    """
+    try:
+        raw = float(raw_value)
+    except Exception:
+        return None
+    if not math.isfinite(raw) or raw <= 0:
+        return None
+
+    candidates = (
+        raw,               # already MHz
+        raw * 1000.0,      # GHz -> MHz
+        raw / 1000.0,      # KHz -> MHz
+        raw / 1_000_000.0, # Hz -> MHz
+    )
+    plausible = []
+    for c in candidates:
+        if math.isfinite(c) and CPU_FREQ_MIN_MHZ <= c <= CPU_FREQ_MAX_MHZ:
+            plausible.append(c)
+
+    if not plausible:
+        return None
+
+    # Keep the original value when it's already plausible in MHz.
+    if CPU_FREQ_MIN_MHZ <= raw <= CPU_FREQ_MAX_MHZ:
+        return raw
+
+    if reference_mhz is not None:
+        try:
+            ref = float(reference_mhz)
+            if math.isfinite(ref) and CPU_FREQ_MIN_MHZ <= ref <= CPU_FREQ_MAX_MHZ:
+                return min(plausible, key=lambda c: abs(c - ref))
+        except Exception:
+            pass
+
+    # Fallback toward common desktop/laptop operating frequencies.
+    return min(plausible, key=lambda c: abs(c - 3000.0))
+
+
 def sanitize_payload_for_server(payload: Dict[str, Any]) -> Dict[str, Any]:
     """Return a copy of payload containing only fields accepted by the server schema."""
     try:
@@ -207,6 +255,14 @@ def sanitize_payload_for_server(payload: Dict[str, Any]) -> Dict[str, Any]:
         for k in _ALLOWED_PAYLOAD_KEYS:
             if k in payload:
                 clean[k] = payload[k]
+        # Deployment policy: CRF-only single-pass benchmarking.
+        clean['passes'] = 1
+        if 'cpuFreqAvgMHz' in clean:
+            normalized = normalize_cpu_freq_mhz(clean.get('cpuFreqAvgMHz'))
+            if normalized is None:
+                clean.pop('cpuFreqAvgMHz', None)
+            else:
+                clean['cpuFreqAvgMHz'] = round(normalized, 2)
         return clean
     except Exception:
         return dict(payload)
diff --git a/client/ffmpeg.py b/client/ffmpeg.py
index f83cd5d..c90c5af 100644
--- a/client/ffmpeg.py
+++ b/client/ffmpeg.py
@@ -416,133 +416,6 @@ def compute_metrics_parallel(input_path: str, artifacts: List[str], workers: int
     return results
 
 
-RESOLUTION_DIMENSIONS: Dict[str, tuple] = {
-    "480p": (854, 480),
-    "720p": (1280, 720),
-    "1080p": (1920, 1080),
-    "1440p": (2560, 1440),
-    "4k": (3840, 2160),
-}
-
-TWOPASS_BITRATE_TARGETS: Dict[str, str] = {
-    "480p": "1500k",
-    "720p": "3000k",
-    "1080p": "6000k",
-    "1440p": "12000k",
-    "4k": "20000k",
-}
-
-
-def scale_video(input_path: str, target_resolution: str, output_path: str) -> bool:
-    """Scale a video to target_resolution using a near-lossless intermediate.
-
-    Returns True on success.
-    """
-    dims = RESOLUTION_DIMENSIONS.get(target_resolution)
-    if not dims:
-        return False
-    w, h = dims
-    cmd = [
-        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "error", "-nostdin",
-        "-i", input_path,
-        "-vf", f"scale={w}:{h}:flags=lanczos",
-        "-c:v", "libx264", "-crf", "0", "-preset", "ultrafast",
-        "-an", output_path,
-    ]
-    try:
-        proc = subprocess.run(cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=300)
-        return proc.returncode == 0 and os.path.exists(output_path) and os.path.getsize(output_path) > 0
-    except Exception:
-        return False
-
-
-def build_ffmpeg_twopass_cmds(
-    *, input_path: str, output_path: str, encoder: str, preset_name: str,
-    bitrate: str, passlogfile: str,
-) -> tuple:
-    """Return (pass1_cmd, pass2_cmd) for two-pass encoding."""
-    from .encoders import map_preset_for_encoder
-
-    null_out = "/dev/null" if os.name != "nt" else "NUL"
-
-    base = [
-        config.ffmpeg_exe(), "-y", "-hide_banner", "-loglevel", "info", "-nostdin",
-        "-i", input_path,
-        "-c:v", encoder,
-    ]
-    base += map_preset_for_encoder(encoder, preset_name)
-    base += ["-b:v", bitrate]
-
-    if encoder.endswith(("_nvenc", "_qsv", "_amf", "_videotoolbox", "_vaapi")):
-        base += ["-vf", "scale=trunc(iw/2)*2:trunc(ih/2)*2", "-pix_fmt", "yuv420p"]
-
-    pass1 = base + ["-pass", "1", "-passlogfile", passlogfile, "-an", "-f", "null", null_out]
-    pass2 = base + ["-pass", "2", "-passlogfile", passlogfile, "-an", output_path]
-
-    return (pass1, pass2)
-
-
-def encode_to_artifact_twopass(
-    *, input_path: str, encoder: str, preset: str, bitrate: str,
-    out_dir: str, artifact_name: str,
-) -> Dict[str, Any]:
-    """Two-pass encode, measuring combined time for both passes."""
-    os.makedirs(out_dir, exist_ok=True)
-    artifact_path = os.path.join(out_dir, artifact_name)
-    passlogfile = os.path.join(out_dir, "ffmpeg2pass")
-
-    pass1_cmd, pass2_cmd = build_ffmpeg_twopass_cmds(
-        input_path=input_path, output_path=artifact_path, encoder=encoder,
-        preset_name=preset, bitrate=bitrate, passlogfile=passlogfile,
-    )
-
-    start = time.time()
-
-    proc1 = subprocess.run(pass1_cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-    if proc1.returncode != 0:
-        stderr_lines = (proc1.stderr or "").splitlines()
-        err_msg = "; ".join([ln.strip() for ln in stderr_lines[-5:]]) if stderr_lines else "pass 1 failed"
-        end = time.time()
-        return {
-            "artifactPath": artifact_path,
-            "encoderUsed": encoder,
-            "elapsedMs": int(round((end - start) * 1000)),
-            "fps": 0.0,
-            "fileSizeBytes": 0,
-            "error": err_msg,
-        }
-
-    proc2 = subprocess.run(pass2_cmd, check=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-    end = time.time()
-    elapsed = max(0.0001, end - start)
-
-    total_frames = _parse_frame_count_from_stderr(proc2.stderr)
-    fps_val = (total_frames / elapsed) if total_frames > 0 else 0.0
-    size_val = os.path.getsize(artifact_path) if os.path.exists(artifact_path) else 0
-
-    err_msg_2: Optional[str] = None
-    if proc2.returncode != 0 or size_val <= 0 or fps_val <= 0.0:
-        stderr_lines = (proc2.stderr or "").splitlines()
-        err_msg_2 = "; ".join([ln.strip() for ln in stderr_lines[-5:]]) if stderr_lines else "pass 2 failed"
-
-    for ext in ("-0.log", "-0.log.mbtree", ".log", ".log.mbtree"):
-        try:
-            p = passlogfile + ext
-            if os.path.exists(p):
-                os.remove(p)
-        except OSError:
-            pass
-
-    return {
-        "artifactPath": artifact_path,
-        "encoderUsed": encoder,
-        "elapsedMs": int(round(elapsed * 1000)),
-        "fps": float(fps_val),
-        "fileSizeBytes": int(size_val),
-        "error": err_msg_2,
-    }
-
-
 def run_single_benchmark(hardware: config.HardwareInfo, input_path: str, preset: str, codec: str = "libx264", crf: Optional[int] = None) -> Dict[str, Any]:
     # Single encode via encode_to_artifact (which handles HW→SW fallback),
     # then compute VMAF on the same artifact. No double-encode. (B-C01)
diff --git a/client/hardware_monitor.py b/client/hardware_monitor.py
index 9ceebb4..f1db421 100644
--- a/client/hardware_monitor.py
+++ b/client/hardware_monitor.py
@@ -6,10 +6,13 @@
 
 import threading
 import time
+import platform
+import subprocess
 from dataclasses import dataclass
 from typing import Optional, List, Tuple
 
 import psutil
+from .config import normalize_cpu_freq_mhz
 
 # Optional NVIDIA GPU monitoring
 try:
@@ -117,6 +120,7 @@ def __init__(self, ffmpeg_pid: Optional[int] = None, interval: float = 0.5):
         self._ffmpeg_io_end: Optional[Tuple[float, float]] = None
         self._ffmpeg_cpu_time_start: Optional[float] = None
         self._ffmpeg_cpu_time_end: Optional[float] = None
+        self._cpu_freq_reference_mhz: Optional[float] = self._detect_cpu_freq_reference_mhz()
 
     def start(self) -> None:
         self._stop_event.clear()
@@ -254,7 +258,12 @@ def _sample_cpu(self) -> None:
             try:
                 f = psutil.cpu_freq()
                 if f and f.current and f.current > 0:
-                    freq = float(f.current)
+                    freq = normalize_cpu_freq_mhz(
+                        f.current,
+                        reference_mhz=self._cpu_freq_reference_mhz,
+                    )
+                    if freq is not None and self._cpu_freq_reference_mhz is None:
+                        self._cpu_freq_reference_mhz = freq
             except Exception:
                 pass
             temp: Optional[float] = None
@@ -476,3 +485,42 @@ def _read_battery_state(self) -> Tuple[Optional[float], Optional[str]]:
             return (pct, source)
         except Exception:
             return (None, None)
+
+    def _detect_cpu_freq_reference_mhz(self) -> Optional[float]:
+        refs: List[float] = []
+        try:
+            f = psutil.cpu_freq()
+            if f and f.max and f.max > 0:
+                n = normalize_cpu_freq_mhz(f.max)
+                if n is not None:
+                    refs.append(n)
+        except Exception:
+            pass
+        try:
+            f = psutil.cpu_freq()
+            if f and f.current and f.current > 0:
+                n = normalize_cpu_freq_mhz(f.current)
+                if n is not None:
+                    refs.append(n)
+        except Exception:
+            pass
+        if platform.system() == "Darwin":
+            try:
+                proc = subprocess.run(
+                    ["sysctl", "-n", "hw.cpufrequency_max"],
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.DEVNULL,
+                    text=True,
+                    timeout=1,
+                )
+                hz = float((proc.stdout or "").strip() or "0")
+                if hz > 0:
+                    mhz = hz / 1_000_000.0
+                    n = normalize_cpu_freq_mhz(mhz)
+                    if n is not None:
+                        refs.append(n)
+            except Exception:
+                pass
+        if not refs:
+            return None
+        return sum(refs) / len(refs)
diff --git a/client/main.py b/client/main.py
index 42211a4..99ad86b 100644
--- a/client/main.py
+++ b/client/main.py
@@ -36,16 +36,11 @@
 )
 from .ffmpeg import (
     run_ffmpeg_test, encode_to_artifact, compute_vmaf_parallel,
-    compute_metrics_parallel, encode_to_artifact_twopass,
-    scale_video, RESOLUTION_DIMENSIONS, TWOPASS_BITRATE_TARGETS,
+    compute_metrics_parallel,
     EXTENDED_TELEMETRY_KEYS,
     run_single_benchmark, sha256_of_file, verify_sample_video,
     load_presets_config, get_default_sample_path,
 )
-from .test_videos import (
-    CONTENT_CLASSES, CONTENT_CLASS_LABELS, RESOLUTION_ORDER,
-    ensure_test_videos, get_video_path, available_content_classes,
-)
 from .network import submit, fetch_baseline_rows
 from .stats import should_skip_submission
 from .ui import (
@@ -58,31 +53,11 @@
 
 
 def _resolve_input_for_task(
-    t: Dict[str, Any], default_input: str, batch_dir: str,
+    default_input: str,
+    default_input_hash: str,
 ) -> Tuple[str, str]:
-    """Return (effective_input_path, input_hash) for a task, scaling resolution if needed."""
-    content_class = t.get('contentClass', 'mixed')
-    resolution = t.get('resolution', '1080p')
-
-    video_path = get_video_path(str(content_class), str(resolution))
-    if not video_path:
-        video_path = get_video_path(str(content_class))
-    if not video_path:
-        video_path = default_input
-
-    target_dims = RESOLUTION_DIMENSIONS.get(str(resolution))
-    if target_dims and str(resolution) != '1080p' and video_path == default_input:
-        scaled_name = f"scaled_{resolution}.mp4"
-        scaled_path = os.path.join(batch_dir, scaled_name)
-        if not os.path.exists(scaled_path):
-            print(f"  Scaling source to {resolution}...")
-            ok = scale_video(video_path, str(resolution), scaled_path)
-            if ok:
-                video_path = scaled_path
-            else:
-                print(f"  Warning: scaling to {resolution} failed, using original", file=sys.stderr)
-
-    return video_path, sha256_of_file(video_path)
+    """Return (effective_input_path, input_hash) for a task."""
+    return default_input, default_input_hash
 
 
 def _infer_encoder_family(encoder: str) -> Optional[str]:
@@ -129,18 +104,6 @@ def run_benchmark_batch(*, hardware: HardwareInfo, base_url: str, args: argparse
     if not getattr(args, 'no_submit', False):
         baseline_rows = fetch_baseline_rows(base_url)
 
-    needed_cc = set()
-    needed_res = set()
-    for t in tasks:
-        cc = t.get('contentClass', 'mixed')
-        res = t.get('resolution', '1080p')
-        if cc != 'mixed':
-            needed_cc.add(cc)
-        if res != '1080p':
-            needed_res.add(res)
-    if needed_cc or needed_res:
-        ensure_test_videos(list(needed_cc) if needed_cc else None, list(needed_res) if needed_res else None)
-
     completed_count_local = 0
     processed_total = 0
     pre_batch_bg_load = measure_background_cpu_load(3.0, 0.5)
@@ -172,47 +135,28 @@ def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") ->
                         enc = t['encoder']
                         preset = t['preset']
                         crf = t.get('crf')
-                        passes = t.get('passes', 1)
-                        content_class = t.get('contentClass', 'mixed')
-                        resolution = t.get('resolution', '1080p')
                         bg_load = pre_batch_bg_load
                         name = f"{enc.replace('/', '_')}-{preset}-{str(crf) if crf is not None else 'none'}-{idx}.mp4"
                         global_index = processed_total + idx
-                        label_parts = [enc, preset, f"crf={crf}"]
-                        if content_class != 'mixed':
-                            label_parts.append(f"content={content_class}")
-                        if resolution != '1080p':
-                            label_parts.append(f"res={resolution}")
-                        if passes == 2:
-                            label_parts.append("2-pass")
-                        progress.set_description(_batch_status("Encoding", global_index, enc, preset) + f" [{', '.join(label_parts)}]")
+                        progress.set_description(_batch_status("Encoding", global_index, enc, preset) + f" [{enc}, {preset}, crf={crf}]")
                         progress.set_current_test(
                             stage="Encoding",
                             encoder=enc,
                             preset=preset,
                             crf=crf,
-                            passes=passes,
-                            contentClass=content_class,
-                            resolution=resolution,
+                            passes=1,
                             isHardware=is_hardware_encoder_name(enc),
                         )
-                        effective_input, input_hash = _resolve_input_for_task(t, input_path, batch_dir)
+                        effective_input, input_hash = _resolve_input_for_task(input_path, default_input_hash)
 
-                        if passes == 2:
-                            bitrate = TWOPASS_BITRATE_TARGETS.get(str(resolution), '6000k')
-                            info = encode_to_artifact_twopass(
-                                input_path=effective_input, encoder=enc, preset=preset,
-                                bitrate=bitrate, out_dir=batch_dir, artifact_name=name,
-                            )
-                        else:
-                            info = encode_to_artifact(
-                                input_path=effective_input,
-                                encoder=enc,
-                                preset=preset,
-                                crf=crf,
-                                out_dir=batch_dir,
-                                artifact_name=name,
-                            )
+                        info = encode_to_artifact(
+                            input_path=effective_input,
+                            encoder=enc,
+                            preset=preset,
+                            crf=crf,
+                            out_dir=batch_dir,
+                            artifact_name=name,
+                        )
 
                         info['backgroundCpuPct'] = float(bg_load)
                         info['task'] = t
@@ -224,9 +168,7 @@ def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") ->
                             encoder=final_encoder,
                             preset=preset,
                             crf=crf,
-                            passes=passes,
-                            contentClass=content_class,
-                            resolution=resolution,
+                            passes=1,
                             isHardware=is_hardware_encoder_name(final_encoder),
                         )
                         progress.update_machine_metrics(info)
@@ -244,9 +186,7 @@ def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") ->
                             encoder=str(info.get('encoderUsed') or info['task']['encoder']),
                             preset=str(info['task']['preset']),
                             crf=info['task'].get('crf'),
-                            passes=info['task'].get('passes', 1),
-                            contentClass=info['task'].get('contentClass', 'mixed'),
-                            resolution=info['task'].get('resolution', '1080p'),
+                            passes=1,
                             isHardware=is_hardware_encoder_name(str(info.get('encoderUsed') or info['task']['encoder'])),
                         )
                         if info.get('error') is None and float(info.get('fps', 0.0)) > 0:
@@ -281,9 +221,7 @@ def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") ->
                             'codec': info.get('encoderUsed') or t['encoder'],
                             'preset': t['preset'],
                             'crf': t.get('crf'),
-                            'contentClass': t.get('contentClass', 'mixed'),
-                            'resolution': t.get('resolution', '1080p'),
-                            'passes': t.get('passes', 1),
+                            'passes': 1,
                             'fps': float(info.get('fps') or 0.0),
                             'fileSizeBytes': int(info.get('fileSizeBytes') or 0),
                             'runMs': int(info.get('elapsedMs') or 0),
@@ -333,8 +271,6 @@ def _batch_status(stage: str, index: int, codec: str = "", preset: str = "") ->
                             preset=str(payload['preset']),
                             crf=payload.get('crf'),
                             passes=payload.get('passes', 1),
-                            contentClass=payload.get('contentClass', 'mixed'),
-                            resolution=payload.get('resolution', '1080p'),
                             isHardware=is_hardware_encoder_name(str(payload['codec'])),
                         )
                         if skip:
@@ -537,9 +473,7 @@ def run_with_args(args: argparse.Namespace) -> int:
             payload["encoderName"] = payload.get("codec", resolved_encoder)
             payload["clientVersion"] = client_version
             payload["inputHash"] = input_hash
-            payload["contentClass"] = getattr(args, 'content_class', 'mixed') or 'mixed'
-            payload["resolution"] = getattr(args, 'resolution', '1080p') or '1080p'
-            payload["passes"] = getattr(args, 'passes', 1) or 1
+            payload["passes"] = 1
 
             size_val = payload.get("fileSizeBytes")
             try:
@@ -751,59 +685,40 @@ def interactive_menu_flow(parser: argparse.ArgumentParser, base_args: argparse.N
             crf_values = [int(v) for v in presets_cfg.get("fullBenchmark", {}).get("crfValues", []) if isinstance(v, int)]
             if not crf_values:
                 crf_values = [24]
-
-    bench_key = {1: "smallBenchmark", 2: "mediumBenchmark", 3: "fullBenchmark"}.get(choice, "smallBenchmark")
-    bench_cfg = presets_cfg.get(bench_key, {})
-    content_classes_list: List[str] = bench_cfg.get("contentClasses", ["mixed"])
-    resolutions_list: List[str] = bench_cfg.get("resolutions", ["1080p"])
-    passes_list: List[int] = [int(p) for p in bench_cfg.get("passes", [1])]
-    if not content_classes_list:
-        content_classes_list = ["mixed"]
-    if not resolutions_list:
-        resolutions_list = ["1080p"]
-    if not passes_list:
-        passes_list = [1]
-
     tasks: List[Dict[str, Any]] = []
-    for content_class in content_classes_list:
-        for resolution in resolutions_list:
-            for num_passes in passes_list:
-                for crf_val in crf_values:
-                    for enc in encoders:
-                        presets_for_encoder = enumerate_supported_presets_for_encoder(enc)
-                        ordered = sort_presets_by_speed_desc(enc, presets_for_encoder)
-                        if choice == 1:
-                            if not ordered:
-                                continue
-                            mid_index = max(0, (len(ordered) - 1) // 2)
-                            picks: List[str] = []
-                            faster1 = mid_index - 1
-                            faster2 = mid_index - 2
-                            if faster2 >= 0:
-                                picks.append(ordered[faster2])
-                            if faster1 >= 0:
-                                picks.append(ordered[faster1])
-                            picks.append(ordered[mid_index])
-                            seen: Dict[str, bool] = {}
-                            final = [p for p in picks if not seen.setdefault(p, False)]
-                            for preset_label in final:
-                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
-                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
-                        elif choice == 2:
-                            if len(ordered) > 0:
-                                drop_count = int(round(len(ordered) * 0.2))
-                                if drop_count >= len(ordered):
-                                    drop_count = len(ordered) - 1
-                                keep = ordered[:-drop_count] if drop_count > 0 else ordered
-                            else:
-                                keep = ordered
-                            for preset_label in keep:
-                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
-                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
-                        else:
-                            for preset_label in ordered:
-                                tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val,
-                                              'contentClass': content_class, 'resolution': resolution, 'passes': num_passes})
+    for crf_val in crf_values:
+        for enc in encoders:
+            presets_for_encoder = enumerate_supported_presets_for_encoder(enc)
+            ordered = sort_presets_by_speed_desc(enc, presets_for_encoder)
+            if choice == 1:
+                if not ordered:
+                    continue
+                mid_index = max(0, (len(ordered) - 1) // 2)
+                picks: List[str] = []
+                faster1 = mid_index - 1
+                faster2 = mid_index - 2
+                if faster2 >= 0:
+                    picks.append(ordered[faster2])
+                if faster1 >= 0:
+                    picks.append(ordered[faster1])
+                picks.append(ordered[mid_index])
+                seen: Dict[str, bool] = {}
+                final = [p for p in picks if not seen.setdefault(p, False)]
+                for preset_label in final:
+                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
+            elif choice == 2:
+                if len(ordered) > 0:
+                    drop_count = int(round(len(ordered) * 0.2))
+                    if drop_count >= len(ordered):
+                        drop_count = len(ordered) - 1
+                    keep = ordered[:-drop_count] if drop_count > 0 else ordered
+                else:
+                    keep = ordered
+                for preset_label in keep:
+                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
+            else:
+                for preset_label in ordered:
+                    tasks.append({'encoder': enc, 'preset': preset_label, 'crf': crf_val})
 
     rc = run_benchmark_batch(
         hardware=detect_hardware(),
@@ -846,9 +761,6 @@ def build_arg_parser() -> argparse.ArgumentParser:
     p.add_argument("--batch-size", type=int, default=0, help="Batch size for parallel VMAF (0=auto: cpu_count or 4)")
     p.add_argument("--use-token", action="store_true", help="Use short-lived submit token (opt-in; or set INGEST_USE_TOKENS=1)")
     p.add_argument("--pause-on-exit", action="store_true", help="On Windows, wait for Enter key after completion to keep the window open")
-    p.add_argument("--content-class", default="mixed", choices=CONTENT_CLASSES, help="Content class for the test video (default: mixed)")
-    p.add_argument("--resolution", default="1080p", choices=RESOLUTION_ORDER, help="Target resolution (default: 1080p)")
-    p.add_argument("--passes", type=int, default=1, choices=[1, 2], help="Number of encoding passes (default: 1)")
     return p
 
 
diff --git a/client/network.py b/client/network.py
index dd99ef9..eadc79b 100644
--- a/client/network.py
+++ b/client/network.py
@@ -1,18 +1,82 @@
 import hashlib
 import json
-import os
 import re
 import sys
 import time
-from typing import Optional, Dict, Any, List
+import threading
+from typing import Optional, Dict, Any, List, Set
 
 from . import config
 
 
+_REJECTED_KEYS_LOCK = threading.Lock()
+_SERVER_REJECTED_KEYS: Dict[str, Set[str]] = {}
+
+
+def _base_key(base_url: str) -> str:
+    try:
+        return base_url.rstrip('/').lower()
+    except Exception:
+        return base_url
+
+
+def _get_rejected_keys(base_url: str) -> Set[str]:
+    key = _base_key(base_url)
+    with _REJECTED_KEYS_LOCK:
+        existing = _SERVER_REJECTED_KEYS.get(key)
+        return set(existing) if existing else set()
+
+
+def _remember_rejected_keys(base_url: str, keys: List[str]) -> Set[str]:
+    key = _base_key(base_url)
+    cleaned = [str(k).strip() for k in keys if isinstance(k, str) and str(k).strip()]
+    if not cleaned:
+        return _get_rejected_keys(base_url)
+    with _REJECTED_KEYS_LOCK:
+        bucket = _SERVER_REJECTED_KEYS.setdefault(key, set())
+        bucket.update(cleaned)
+        return set(bucket)
+
+
+def _extract_unrecognized_keys(error_text: str) -> List[str]:
+    if not error_text:
+        return []
+    messages: List[str] = []
+    try:
+        data = json.loads(error_text)
+        details = data.get('details') if isinstance(data, dict) else None
+        form_errors = details.get('formErrors') if isinstance(details, dict) else None
+        if isinstance(form_errors, list):
+            for entry in form_errors:
+                if isinstance(entry, str):
+                    messages.append(entry)
+    except Exception:
+        pass
+    if not messages:
+        messages = [error_text]
+
+    out: List[str] = []
+    for msg in messages:
+        match = re.search(r"Unrecognized keys?:\s*(.*)", msg)
+        if not match:
+            continue
+        key_blob = match.group(1)
+        for key in re.findall(r'"([^"]+)"', key_blob):
+            if not re.fullmatch(r"[A-Za-z][A-Za-z0-9_]*", key):
+                continue
+            if key not in out:
+                out.append(key)
+    return out
+
+
 def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: int = 3, backoff_seconds: float = 1.0, use_token: Optional[bool] = None) -> None:
     import requests  # lazy import
     url = f"{base_url.rstrip('/')}/submit"
-    headers: Dict[str, str] = {"Content-Type": "application/json"}
+    payload_to_send: Dict[str, Any] = dict(payload)
+    for dropped in _get_rejected_keys(base_url):
+        payload_to_send.pop(dropped, None)
+
+    base_headers: Dict[str, str] = {"Content-Type": "application/json"}
     if use_token is None:
         use_token = config._env_flag('INGEST_USE_TOKENS', False)
     if use_token:
@@ -37,7 +101,7 @@ def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: i
                 token = str(tokenData.get('token') or '')
                 powInfo = tokenData.get('pow') or {}
                 if token and re.fullmatch(r"[0-9a-f]{32}", token):
-                    headers['x-ingest-token'] = token
+                    base_headers['x-ingest-token'] = token
                     try:
                         difficulty = int(powInfo.get('difficulty') or 0)
                     except Exception:
@@ -60,7 +124,7 @@ def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: i
                                     print(f" {nonce//1000}k", end='', flush=True)
                             test = hashlib.sha256(f"{token}.{nonce}".encode('utf-8')).hexdigest()
                             if test.startswith(prefix):
-                                headers['x-ingest-nonce'] = str(nonce)
+                                base_headers['x-ingest-nonce'] = str(nonce)
                                 pow_found = True
                                 print(f" solved (nonce={nonce})")
                                 break
@@ -73,28 +137,58 @@ def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: i
             except Exception:
                 pass
     # HMAC signing if secret available
-    ts = int(time.time())
-    body = json.dumps(payload, separators=(",", ":"))
     secret = config.ENV_INGEST_HMAC_SECRET
-    if secret:
-        import hmac
-        sig = hmac.new(secret.encode("utf-8"), f"{ts}.".encode("utf-8") + body.encode("utf-8"), hashlib.sha256).hexdigest()
-        headers["x-signature"] = sig
-        headers["x-timestamp"] = str(ts)
-    for attempt in range(1, retries + 1):
+
+    attempt = 1
+    max_compat_retries = max(1, len(payload_to_send))
+    compat_retries = 0
+    while attempt <= retries:
+        body = json.dumps(payload_to_send, separators=(",", ":"))
+        headers = dict(base_headers)
+        if secret:
+            import hmac
+            ts = int(time.time())
+            sig = hmac.new(secret.encode("utf-8"), f"{ts}.".encode("utf-8") + body.encode("utf-8"), hashlib.sha256).hexdigest()
+            headers["x-signature"] = sig
+            headers["x-timestamp"] = str(ts)
         try:
             r = requests.post(url, data=body, timeout=30, headers=headers, verify=config.REQUESTS_VERIFY, allow_redirects=False)
             if 300 <= r.status_code < 400:
                 loc = r.headers.get('Location') or r.headers.get('location')
                 if loc:
                     r = requests.post(loc, data=body, timeout=30, headers=headers, verify=config.REQUESTS_VERIFY, allow_redirects=False)
+            if r.status_code == 400:
+                try:
+                    err_text = r.text
+                except Exception:
+                    err_text = ""
+                unknown_keys = _extract_unrecognized_keys(err_text)
+                if unknown_keys:
+                    removed_now: List[str] = []
+                    for key in unknown_keys:
+                        if key in payload_to_send:
+                            payload_to_send.pop(key, None)
+                            removed_now.append(key)
+                    if removed_now:
+                        all_rejected = _remember_rejected_keys(base_url, removed_now)
+                        print(
+                            "submit compatibility: server rejected fields; retrying without: "
+                            + ", ".join(sorted(all_rejected)),
+                            file=sys.stderr,
+                        )
+                        compat_retries += 1
+                        if compat_retries <= max_compat_retries:
+                            continue
             if r.status_code == 429:
                 try:
                     ra = r.headers.get('Retry-After')
                     delay = float(ra) if ra and str(ra).replace('.', '', 1).isdigit() else (backoff_seconds * attempt * 2)
                 except Exception:
                     delay = backoff_seconds * attempt * 2
+                if attempt >= retries:
+                    r.raise_for_status()
                 time.sleep(max(0.5, delay))
+                attempt += 1
                 continue
             if r.status_code >= 500:
                 raise RuntimeError(f"server_error {r.status_code}")
@@ -117,6 +211,7 @@ def submit(base_url: str, payload: Dict[str, Any], api_key: str = "", retries: i
                     pass
                 raise
             time.sleep(backoff_seconds * attempt)
+            attempt += 1
 
 
 def fetch_baseline_rows(base_url: str) -> List[Dict[str, Any]]:
diff --git a/client/presets.json b/client/presets.json
index 69dd8d2..ff1aee3 100644
--- a/client/presets.json
+++ b/client/presets.json
@@ -1,25 +1,14 @@
 {
-  "contentClasses": ["mixed"],
-  "resolutions": ["1080p"],
   "smallBenchmark": {
     "crfValues": [24],
-    "contentClasses": ["mixed"],
-    "resolutions": ["1080p"],
-    "passes": [1],
     "approxMinutes": 15
   },
   "mediumBenchmark": {
     "crfValues": [22, 24, 26],
-    "contentClasses": ["mixed"],
-    "resolutions": ["720p", "1080p"],
-    "passes": [1],
     "approxHours": 3
   },
   "fullBenchmark": {
     "crfValues": [12, 14, 16, 18, 20, 22, 24, 26, 28, 30],
-    "contentClasses": ["mixed", "action", "animation"],
-    "resolutions": ["480p", "720p", "1080p", "1440p"],
-    "passes": [1, 2],
     "approxHours": 240
   }
 }
diff --git a/client/test_videos.py b/client/test_videos.py
deleted file mode 100644
index aafcbe5..0000000
--- a/client/test_videos.py
+++ /dev/null
@@ -1,249 +0,0 @@
-"""Test video catalog, download, and caching for multi-content benchmarks (Sprint 5)."""
-
-import hashlib
-import os
-import sys
-from typing import Dict, List, Optional, Tuple
-
-from . import config
-
-CONTENT_CLASSES: List[str] = [
-    "mixed",
-    "talkingHead",
-    "action",
-    "animation",
-    "screen",
-    "nature",
-    "gaming",
-]
-
-CONTENT_CLASS_LABELS: Dict[str, str] = {
-    "mixed": "Mixed (Original)",
-    "talkingHead": "Talking Head",
-    "action": "Action / Sports",
-    "animation": "Animation / Cartoon",
-    "screen": "Screen Recording",
-    "nature": "Nature / Documentary",
-    "gaming": "Gaming",
-}
-
-RESOLUTION_PRESETS: Dict[str, Tuple[int, int]] = {
-    "480p": (854, 480),
-    "720p": (1280, 720),
-    "1080p": (1920, 1080),
-    "1440p": (2560, 1440),
-    "4k": (3840, 2160),
-}
-
-RESOLUTION_ORDER: List[str] = ["480p", "720p", "1080p", "1440p", "4k"]
-
-RELEASES_BASE_URL = (
-    "https://github.com/oliverdougherC/Encoding_Database"
-    "/releases/download/test-clips-v1"
-)
-
-TEST_VIDEO_CATALOG: List[Dict[str, object]] = [
-    {
-        "name": "sample.mp4",
-        "contentClass": "mixed",
-        "resolution": "1080p",
-        "duration": 20.0,
-        "sha256": config.SAMPLE_VIDEO_SHA256,
-        "sizeBytes": config.SAMPLE_VIDEO_SIZE_BYTES,
-    },
-    {
-        "name": "talking_head_1080p.mp4",
-        "contentClass": "talkingHead",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-    {
-        "name": "action_1080p.mp4",
-        "contentClass": "action",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-    {
-        "name": "animation_1080p.mp4",
-        "contentClass": "animation",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-    {
-        "name": "screen_1080p.mp4",
-        "contentClass": "screen",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-    {
-        "name": "nature_1080p.mp4",
-        "contentClass": "nature",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-    {
-        "name": "gaming_1080p.mp4",
-        "contentClass": "gaming",
-        "resolution": "1080p",
-        "duration": 15.0,
-        "sha256": "",
-        "sizeBytes": 0,
-    },
-]
-
-
-def get_cache_dir() -> str:
-    """Return the directory used to cache downloaded test clips."""
-    home = os.path.expanduser("~")
-    cache_dir = os.path.join(home, ".encodingdb", "test-clips")
-    os.makedirs(cache_dir, mode=0o755, exist_ok=True)
-    return cache_dir
-
-
-def _sha256_file(path: str) -> str:
-    hasher = hashlib.sha256()
-    with open(path, "rb") as f:
-        while True:
-            chunk = f.read(1024 * 1024)
-            if not chunk:
-                break
-            hasher.update(chunk)
-    return hasher.hexdigest()
-
-
-def download_test_video(video_meta: Dict[str, object], force: bool = False) -> Optional[str]:
-    """Download a test video from GitHub Releases and verify its SHA256.
-
-    Returns the local file path on success, or None on failure.
-    """
-    name = str(video_meta["name"])
-    sha256 = str(video_meta.get("sha256") or "")
-    size_bytes = int(video_meta.get("sizeBytes") or 0)
-
-    if name == "sample.mp4":
-        from .ffmpeg import get_default_sample_path
-        local = get_default_sample_path()
-        if local and os.path.exists(local):
-            return local
-
-    cache_dir = get_cache_dir()
-    local_path = os.path.join(cache_dir, name)
-
-    if not force and os.path.exists(local_path):
-        if sha256 and _sha256_file(local_path) == sha256.lower():
-            return local_path
-        if not sha256 and os.path.getsize(local_path) > 0:
-            return local_path
-
-    url = f"{RELEASES_BASE_URL}/{name}"
-    print(f"Downloading test clip: {name}...")
-
-    try:
-        import requests  # lazy import
-        resp = requests.get(url, stream=True, timeout=120, verify=config.REQUESTS_VERIFY)
-        resp.raise_for_status()
-
-        total = int(resp.headers.get("content-length", 0))
-        downloaded = 0
-        tmp_path = local_path + ".tmp"
-
-        with open(tmp_path, "wb") as f:
-            for chunk in resp.iter_content(chunk_size=256 * 1024):
-                f.write(chunk)
-                downloaded += len(chunk)
-                if total > 0:
-                    pct = (downloaded / total) * 100
-                    print(f"\r  {downloaded / (1024*1024):.1f} / {total / (1024*1024):.1f} MB ({pct:.0f}%)", end="", flush=True)
-
-        print()
-
-        if sha256:
-            actual = _sha256_file(tmp_path)
-            if actual != sha256.lower():
-                print(f"  SHA256 mismatch for {name}: expected {sha256[:16]}..., got {actual[:16]}...", file=sys.stderr)
-                os.remove(tmp_path)
-                return None
-
-        if size_bytes > 0 and os.path.getsize(tmp_path) != size_bytes:
-            print(f"  Size mismatch for {name}: expected {size_bytes}, got {os.path.getsize(tmp_path)}", file=sys.stderr)
-            os.remove(tmp_path)
-            return None
-
-        os.replace(tmp_path, local_path)
-        print(f"  Cached: {local_path}")
-        return local_path
-
-    except Exception as e:
-        print(f"  Failed to download {name}: {e}", file=sys.stderr)
-        return None
-
-
-def ensure_test_videos(
-    content_classes: Optional[List[str]] = None,
-    resolutions: Optional[List[str]] = None,
-) -> Dict[str, str]:
-    """Download and cache all required test clips.
-
-    Returns a dict mapping "contentClass:resolution" keys to local file paths.
-    """
-    wanted_cc = set(content_classes) if content_classes else {"mixed"}
-    wanted_res = set(resolutions) if resolutions else {"1080p"}
-    result: Dict[str, str] = {}
-
-    for meta in TEST_VIDEO_CATALOG:
-        cc = str(meta["contentClass"])
-        res = str(meta["resolution"])
-        if cc not in wanted_cc:
-            continue
-        if res not in wanted_res:
-            continue
-
-        path = download_test_video(meta)
-        if path:
-            result[f"{cc}:{res}"] = path
-
-    return result
-
-
-def get_video_path(content_class: str, resolution: str = "1080p") -> Optional[str]:
-    """Return the cached path for a specific test video, or None."""
-    cache_key = f"{content_class}:{resolution}"
-
-    if content_class == "mixed" and resolution == "1080p":
-        from .ffmpeg import get_default_sample_path
-        local = get_default_sample_path()
-        if local and os.path.exists(local):
-            return local
-
-    cache_dir = get_cache_dir()
-    for meta in TEST_VIDEO_CATALOG:
-        if str(meta["contentClass"]) == content_class and str(meta["resolution"]) == resolution:
-            name = str(meta["name"])
-            local_path = os.path.join(cache_dir, name)
-            if os.path.exists(local_path):
-                return local_path
-
-    return None
-
-
-def available_content_classes() -> List[str]:
-    """Return content classes that have at least one cached test video locally."""
-    avail: List[str] = []
-    for cc in CONTENT_CLASSES:
-        for meta in TEST_VIDEO_CATALOG:
-            if str(meta["contentClass"]) == cc:
-                path = get_video_path(cc, str(meta["resolution"]))
-                if path:
-                    avail.append(cc)
-                    break
-    return avail
diff --git a/client/ui.py b/client/ui.py
index 1e93710..2d2f820 100644
--- a/client/ui.py
+++ b/client/ui.py
@@ -721,15 +721,12 @@ def _test_info_lines(self, compact: bool = False) -> List[str]:
         enc = str(self._task_info.get("encoder") or "-")
         preset = str(self._task_info.get("preset") or "-")
         crf = self._task_info.get("crf")
-        passes = self._task_info.get("passes")
-        cc = str(self._task_info.get("contentClass") or "mixed")
-        res = str(self._task_info.get("resolution") or "1080p")
 
         lines = [
             f"[muted]Stage:[/muted] [accent2]{stage}[/accent2]",
             f"[muted]Encoder:[/muted] [vanilla]{enc}[/vanilla]",
             f"[muted]Preset:[/muted] {preset}    [muted]CRF:[/muted] {crf if crf is not None else '-'}",
-            f"[muted]Content:[/muted] {cc}    [muted]Resolution:[/muted] {res}    [muted]Passes:[/muted] {passes if passes is not None else 1}",
+            f"[muted]Mode:[/muted] CRF (1-pass)",
             f"[muted]Queue:[/muted] ok={self._counters['submitted']} skip={self._counters['skipped']} queue={self._counters['queued']} fail={self._counters['failed']}",
             f"[muted]Now:[/muted] {self._description}",
         ]
diff --git a/deploy.sh b/deploy.sh
new file mode 100755
index 0000000..66d339f
--- /dev/null
+++ b/deploy.sh
@@ -0,0 +1,195 @@
+#!/usr/bin/env bash
+set -Eeuo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$SCRIPT_DIR"
+if [[ ! -f "$ROOT_DIR/docker-compose.prod.yml" ]]; then
+  ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
+fi
+
+REMOTE="${DEPLOY_REMOTE:-origin}"
+BRANCH="${DEPLOY_BRANCH:-main}"
+COMPOSE_FILE="${DEPLOY_COMPOSE_FILE:-docker-compose.prod.yml}"
+SERVICE_TIMEOUT_SECONDS="${DEPLOY_SERVICE_TIMEOUT_SECONDS:-240}"
+API_TIMEOUT_SECONDS="${DEPLOY_API_TIMEOUT_SECONDS:-240}"
+SKIP_PULL=0
+
+usage() {
+  cat <<'EOF'
+Usage: ./deploy.sh [--skip-pull] [--help]
+
+Options:
+  --skip-pull  Skip git fetch/pull and deploy current local checkout.
+  --help       Show this help text.
+
+Environment overrides:
+  DEPLOY_REMOTE=origin
+  DEPLOY_BRANCH=main
+  DEPLOY_COMPOSE_FILE=docker-compose.prod.yml
+  DEPLOY_SERVICE_TIMEOUT_SECONDS=240
+  DEPLOY_API_TIMEOUT_SECONDS=240
+EOF
+}
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --skip-pull)
+      SKIP_PULL=1
+      shift
+      ;;
+    --help|-h)
+      usage
+      exit 0
+      ;;
+    *)
+      echo "[deploy] Unknown option: $1" >&2
+      usage >&2
+      exit 2
+      ;;
+  esac
+done
+
+log() {
+  echo "[deploy] $*"
+}
+
+die() {
+  echo "[deploy] ERROR: $*" >&2
+  exit 1
+}
+
+require_cmd() {
+  command -v "$1" >/dev/null 2>&1 || die "Missing required command: $1"
+}
+
+read_env_value() {
+  local key="$1"
+  local value
+  value="$(
+    awk -F= -v key="$key" '
+      $0 !~ /^[[:space:]]*#/ && $1 == key {
+        print substr($0, index($0, "=") + 1)
+      }
+    ' .env | tail -n 1
+  )"
+  value="$(printf '%s' "$value" | tr -d '\r' | sed 's/^[[:space:]]*//; s/[[:space:]]*$//')"
+  value="${value#\"}"
+  value="${value%\"}"
+  value="${value#\'}"
+  value="${value%\'}"
+  printf '%s' "$value"
+}
+
+ensure_clean_worktree() {
+  if [[ -n "$(git status --porcelain 2>/dev/null)" ]]; then
+    die "Working tree is not clean. Commit/stash changes, or run with --skip-pull."
+  fi
+}
+
+wait_for_service() {
+  local service="$1"
+  local timeout="$2"
+  local elapsed=0
+  while (( elapsed < timeout )); do
+    local cid state health summary
+    cid="$(docker compose -f "$COMPOSE_FILE" ps -q "$service" 2>/dev/null || true)"
+    if [[ -n "$cid" ]]; then
+      summary="$(docker inspect --format '{{.State.Status}} {{if .State.Health}}{{.State.Health.Status}}{{else}}none{{end}}' "$cid" 2>/dev/null || true)"
+      state="${summary%% *}"
+      health="${summary##* }"
+      if [[ "$state" == "running" && ( "$health" == "healthy" || "$health" == "none" ) ]]; then
+        log "Service '$service' is running (health=$health)."
+        return 0
+      fi
+      if [[ "$state" == "exited" || "$state" == "dead" ]]; then
+        log "Service '$service' entered state=$state (health=$health)."
+        docker compose -f "$COMPOSE_FILE" logs --tail=120 "$service" || true
+        return 1
+      fi
+    fi
+    sleep 2
+    elapsed=$((elapsed + 2))
+  done
+  log "Timed out waiting for service '$service' after ${timeout}s."
+  docker compose -f "$COMPOSE_FILE" logs --tail=120 "$service" || true
+  return 1
+}
+
+wait_for_api_ready() {
+  local timeout="$1"
+  local elapsed=0
+  while (( elapsed < timeout )); do
+    if docker compose -f "$COMPOSE_FILE" exec -T server \
+      node -e "require('http').get('http://127.0.0.1:3001/health/ready',r=>process.exit(r.statusCode===200?0:1)).on('error',()=>process.exit(1));" \
+      >/dev/null 2>&1; then
+      log "API readiness check passed (/health/ready=200)."
+      return 0
+    fi
+    sleep 2
+    elapsed=$((elapsed + 2))
+  done
+  log "API readiness check failed after ${timeout}s."
+  docker compose -f "$COMPOSE_FILE" logs --tail=120 server || true
+  return 1
+}
+
+cd "$ROOT_DIR"
+
+require_cmd git
+require_cmd docker
+
+[[ -d ".git" ]] || die "Not a git repository: $ROOT_DIR"
+[[ -f "$COMPOSE_FILE" ]] || die "Compose file not found: $COMPOSE_FILE"
+[[ -f ".env" ]] || die "Missing .env in $ROOT_DIR. Create it from env.example before deployment."
+
+ingest_mode="$(read_env_value "INGEST_MODE")"
+normalized_ingest_mode="$(printf '%s' "$ingest_mode" | tr '[:upper:]' '[:lower:]')"
+if [[ -z "$normalized_ingest_mode" ]]; then
+  log "WARNING: INGEST_MODE is unset. Runtime default is public (unsigned submissions accepted)."
+elif [[ "$normalized_ingest_mode" == "public" ]]; then
+  log "WARNING: INGEST_MODE=public allows unsigned submissions."
+fi
+if [[ "$normalized_ingest_mode" == "signed" ]]; then
+  ingest_secret="$(read_env_value "INGEST_HMAC_SECRET")"
+  [[ -n "$ingest_secret" ]] || die "INGEST_MODE=signed requires INGEST_HMAC_SECRET in .env."
+fi
+
+if [[ "$SKIP_PULL" -eq 0 ]]; then
+  ensure_clean_worktree
+  log "Fetching latest '$BRANCH' from '$REMOTE'..."
+  git fetch --prune "$REMOTE" "$BRANCH"
+
+  current_branch="$(git rev-parse --abbrev-ref HEAD)"
+  if [[ "$current_branch" != "$BRANCH" ]]; then
+    if git show-ref --verify --quiet "refs/heads/$BRANCH"; then
+      log "Checking out local branch '$BRANCH'..."
+      git checkout "$BRANCH"
+    else
+      log "Creating local branch '$BRANCH' tracking '$REMOTE/$BRANCH'..."
+      git checkout -b "$BRANCH" --track "$REMOTE/$BRANCH"
+    fi
+  fi
+
+  log "Pulling latest changes (fast-forward only)..."
+  git pull --ff-only "$REMOTE" "$BRANCH"
+fi
+
+log "Validating compose configuration..."
+docker compose -f "$COMPOSE_FILE" config -q
+
+log "Building and starting production stack..."
+docker compose -f "$COMPOSE_FILE" up -d --build --remove-orphans
+
+log "Waiting for services to become healthy..."
+services="$(docker compose -f "$COMPOSE_FILE" config --services)"
+for service in $services; do
+  wait_for_service "$service" "$SERVICE_TIMEOUT_SECONDS" || die "Service readiness failed: $service"
+done
+
+if echo "$services" | grep -qx "server"; then
+  wait_for_api_ready "$API_TIMEOUT_SECONDS" || die "API readiness failed."
+fi
+
+commit="$(git rev-parse --short HEAD)"
+log "Deployment complete at commit $commit."
+docker compose -f "$COMPOSE_FILE" ps
diff --git a/docker-compose.yml b/docker-compose.yml
index 5c57abc..5106ec3 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -6,7 +6,7 @@ services:
       POSTGRES_PASSWORD: app
       POSTGRES_DB: benchmarks
     ports:
-      - '5432:5432'
+      - '${POSTGRES_PORT:-5432}:5432'
     volumes:
       - db_data:/var/lib/postgresql/data
     healthcheck:
diff --git a/env.example b/env.example
index 6eb029b..426f9bb 100644
--- a/env.example
+++ b/env.example
@@ -6,13 +6,22 @@ DATABASE_URL=
 
 # Server
 PORT=3001
+# Leave blank to use safe defaults (production: 1 proxy hop, non-prod: disabled).
+# Set to true/false/number/CIDR list if you need custom behavior.
+TRUST_PROXY=
 CORS_ORIGIN=https://mydomain.com
 BODY_LIMIT=1mb
 RATE_LIMIT_WINDOW_MS=60000
 RATE_LIMIT_MAX=300
 SUBMIT_RATE_WINDOW_MS=60000
 SUBMIT_RATE_MAX=30
+# public | hybrid | signed (public accepts unsigned submissions)
+INGEST_MODE=public
+# Required when INGEST_MODE=signed
 INGEST_HMAC_SECRET=
+POW_ENABLED=0
+POW_DIFFICULTY=0
+SUBMIT_TOKEN_TTL_SECONDS=60
 
 # Frontend (public)
 NEXT_PUBLIC_API_BASE_URL=https://mydomain.com
diff --git a/frontend/README.md b/frontend/README.md
index 535f3ea..1f7ac89 100644
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -1,50 +1,19 @@
+Frontend (Next.js)
+==================
+
 Environment:
 
-Create a `.env.local` file with:
+Create `frontend/.env.local`:
 
-```
+```bash
 NEXT_PUBLIC_API_BASE_URL=https://encodingdb.platinumlabs.dev
 ```
 
 Run locally:
 
-```
-npm install
-npm run dev
-```
-This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
-
-## Getting Started
-
-First, run the development server:
-
 ```bash
+npm ci
 npm run dev
-# or
-yarn dev
-# or
-pnpm dev
-# or
-bun dev
 ```
 
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
-
-You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
-
-This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
-
-## Learn More
-
-To learn more about Next.js, take a look at the following resources:
-
-- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
-- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
-
-You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
-
-## Deploy on Vercel
-
-The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
-
-Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
+Then open [http://localhost:3000](http://localhost:3000).
diff --git a/frontend/app/analytics/page.tsx b/frontend/app/analytics/page.tsx
index 6851424..3f9c0d8 100644
--- a/frontend/app/analytics/page.tsx
+++ b/frontend/app/analytics/page.tsx
@@ -7,9 +7,6 @@ import SsimHistogram from "../components/SsimHistogram";
 import PsnrHistogram from "../components/PsnrHistogram";
 import ScatterSsimVmaf from "../components/ScatterSsimVmaf";
 import RateDistortionChart from "../components/RateDistortionChart";
-import ResolutionComparisonChart from "../components/ResolutionComparisonChart";
-import ContentRadarChart from "../components/ContentRadarChart";
-import PassSpeedComparison from "../components/PassSpeedComparison";
 import LazyChart from "../components/LazyChart";
 import { fetchBenchmarks } from "../lib/fetchBenchmarks";
 import styles from "./page.module.css";
@@ -47,10 +44,7 @@ export default async function AnalyticsPage() {
         <LazyChart><ScatterFpsSize data={data} /></LazyChart>
         <LazyChart><ScatterSsimVmaf data={data} /></LazyChart>
         <LazyChart><GroupedSizeByPreset data={data} /></LazyChart>
-        <LazyChart><PassSpeedComparison data={data} /></LazyChart>
         <LazyChart><RateDistortionChart data={data} /></LazyChart>
-        <LazyChart><ResolutionComparisonChart data={data} /></LazyChart>
-        <LazyChart><ContentRadarChart data={data} /></LazyChart>
       </div>
     </div>
   );
diff --git a/frontend/app/components/BenchmarksTable.tsx b/frontend/app/components/BenchmarksTable.tsx
index 1e726ef..725510b 100644
--- a/frontend/app/components/BenchmarksTable.tsx
+++ b/frontend/app/components/BenchmarksTable.tsx
@@ -36,16 +36,6 @@ type EnrichedBenchmark = PerRowMetrics & {
   _plScore: number;
 };
 
-const CONTENT_CLASS_LABELS: Record<string, string> = {
-  mixed: "Mixed (Original)",
-  talkingHead: "Talking Head",
-  action: "Action / Sports",
-  animation: "Animation / Cartoon",
-  screen: "Screen Recording",
-  nature: "Nature / Documentary",
-  gaming: "Gaming",
-};
-
 type SortKey = "cpuModel" | "gpuModel" | "codec" | "crf" | "preset" | "_plScore";
 
 export default function BenchmarksTable({ initialData }: { initialData: Benchmark[] }) {
@@ -66,10 +56,6 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
     const d = searchParams.get("dir");
     return d === "asc" ? "asc" : "desc";
   });
-  // Multi-content filters (Sprint 5)
-  const [contentClassFilter, setContentClassFilter] = useState(() => searchParams.get("cc") || "");
-  const [resolutionFilter, setResolutionFilter] = useState(() => searchParams.get("res") || "");
-  const [passesFilter, setPassesFilter] = useState(() => searchParams.get("passes") || "");
   // Encoder type filters
   const [softwareOnly, setSoftwareOnly] = useState<boolean>(() => searchParams.get("sw") === "1");
   const [hardwareOnly, setHardwareOnly] = useState<boolean>(() => searchParams.get("hw") === "1");
@@ -88,9 +74,6 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       if (presetFilter) params.set("preset", presetFilter);
       if (sortKey !== "_plScore") params.set("sort", sortKey);
       if (sortDir !== "desc") params.set("dir", sortDir);
-      if (contentClassFilter) params.set("cc", contentClassFilter);
-      if (resolutionFilter) params.set("res", resolutionFilter);
-      if (passesFilter) params.set("passes", passesFilter);
       if (softwareOnly) params.set("sw", "1");
       if (hardwareOnly) params.set("hw", "1");
       const qs = params.toString();
@@ -98,7 +81,7 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       window.history.replaceState(null, "", qs ? `${base}?${qs}` : base);
     }, 300);
     return () => { if (urlDebounceRef.current) clearTimeout(urlDebounceRef.current); };
-  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, sortKey, sortDir, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
+  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, sortKey, sortDir, softwareOnly, hardwareOnly]);
 
   // Core PL Score v6 weights (sum normalized to 1.0)
   const [wQuality, setWQuality] = useState<number>(1 / 3);
@@ -137,16 +120,10 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
   // Reset page when any filter changes
   useEffect(() => {
     setPage(0);
-  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
+  }, [cpuFilter, gpuFilter, codecFilter, presetFilter, softwareOnly, hardwareOnly]);
 
   const codecs = useMemo(() => Array.from(new Set(initialData.map(d => d.codec))).sort(), [initialData]);
   const presets = useMemo(() => Array.from(new Set(initialData.map(d => d.preset))).sort(), [initialData]);
-  const contentClasses = useMemo(() => Array.from(new Set(initialData.map(d => d.contentClass ?? "mixed"))).sort(), [initialData]);
-  const resolutions = useMemo(() => {
-    const order = ["480p", "720p", "1080p", "1440p", "4k"];
-    const set = new Set(initialData.map(d => d.resolution ?? "1080p"));
-    return order.filter(r => set.has(r));
-  }, [initialData]);
   const filteredPresets = useMemo(() => {
     if (!codecFilter) return presets;
     const lower = codecFilter.toLowerCase();
@@ -170,14 +147,11 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       if (gpu && !(row.gpuModel ?? "").toLowerCase().includes(gpu)) return false;
       if (codecFilter && !row.codec.toLowerCase().includes(codecFilter.toLowerCase())) return false;
       if (presetFilter && row.preset !== presetFilter) return false;
-      if (contentClassFilter && (row.contentClass ?? "mixed") !== contentClassFilter) return false;
-      if (resolutionFilter && (row.resolution ?? "1080p") !== resolutionFilter) return false;
-      if (passesFilter && String(row.passes ?? 1) !== passesFilter) return false;
       if (softwareOnly && !hardwareOnly) return !row._isHardware;
       if (hardwareOnly && !softwareOnly) return row._isHardware;
       return true;
     });
-  }, [dataWithHwClass, cpuFilter, gpuFilter, codecFilter, presetFilter, contentClassFilter, resolutionFilter, passesFilter, softwareOnly, hardwareOnly]);
+  }, [dataWithHwClass, cpuFilter, gpuFilter, codecFilter, presetFilter, softwareOnly, hardwareOnly]);
 
   const plContext = useMemo(() => createPlScoreContext(filtered), [filtered]);
 
@@ -343,19 +317,6 @@ export default function BenchmarksTable({ initialData }: { initialData: Benchmar
       </div>
 
       <div className={styles.encoderFilters}>
-        <select value={contentClassFilter} onChange={e => setContentClassFilter(e.target.value)} className="input" aria-label="Filter by content class">
-          <option value="">All content</option>
-          {contentClasses.map(cc => (<option key={cc} value={cc}>{CONTENT_CLASS_LABELS[cc] ?? cc}</option>))}
-        </select>
-        <select value={resolutionFilter} onChange={e => setResolutionFilter(e.target.value)} className="input" aria-label="Filter by resolution">
-          <option value="">All resolutions</option>
-          {resolutions.map(r => (<option key={r} value={r}>{r}</option>))}
-        </select>
-        <select value={passesFilter} onChange={e => setPassesFilter(e.target.value)} className="input" aria-label="Filter by encoding passes">
-          <option value="">All passes</option>
-          <option value="1">1-pass (CRF)</option>
-          <option value="2">2-pass (CBR/VBR)</option>
-        </select>
         <label className={`btn ${styles.encoderFilterLabel}${softwareOnly ? ` ${styles.encoderFilterActive}` : ""}`}>
           <input type="checkbox" checked={softwareOnly} onChange={e => { const v = e.target.checked; setSoftwareOnly(v); if (v) setHardwareOnly(false); }} />
           Software Only
@@ -507,6 +468,7 @@ function DetailsModal({ row, onClose, relSize }: { row: EnrichedBenchmark; onClo
   const vmafSamples = typeof row.vmafSamples === "number" ? row.vmafSamples : row.vmaf != null ? acceptedSamples : 0;
   const ssimSamples = typeof row.ssimSamples === "number" ? row.ssimSamples : row.ssim != null ? acceptedSamples : 0;
   const psnrSamples = typeof row.psnrSamples === "number" ? row.psnrSamples : row.psnr != null ? acceptedSamples : 0;
+  const encodeModeLabel = "CRF (single-pass)";
 
   return (
     <div className="modal-backdrop" role="dialog" aria-modal="true" aria-labelledby="details-modal-title">
@@ -523,7 +485,7 @@ function DetailsModal({ row, onClose, relSize }: { row: EnrichedBenchmark; onClo
                   <div className={styles.aggregateTitle}>{isAggregate ? "Aggregate settings row" : "Single-submission row"}</div>
                   <div className={`subtle ${styles.aggregateSubtitle}`}>
                     {isAggregate
-                      ? `Averages across ${acceptedSamples} accepted submissions with identical CPU/GPU, codec, preset, CRF, content class, resolution, and pass count.`
+                      ? `Averages across ${acceptedSamples} accepted submissions with identical CPU/GPU, codec, preset, and CRF.`
                       : "One accepted submission currently exists for this exact settings profile."}
                   </div>
                 </div>
@@ -558,8 +520,7 @@ function DetailsModal({ row, onClose, relSize }: { row: EnrichedBenchmark; onClo
               <ConfigRow label="GPU" value={row.gpuModel ?? "N/A"} />
               <ConfigRow label="Encoder" value={(row.encoderName ?? row.codec) || "-"} />
               <ConfigRow label="Preset / CRF" value={`${row.preset} / ${row.crf == null ? "-" : row.crf}`} />
-              <ConfigRow label="Content Class" value={CONTENT_CLASS_LABELS[row.contentClass ?? "mixed"] ?? (row.contentClass || "mixed")} />
-              <ConfigRow label="Resolution / Passes" value={`${row.resolution ?? "1080p"} / ${row.passes === 2 ? "2-pass" : "1-pass"}`} />
+              <ConfigRow label="Mode" value={encodeModeLabel} />
             </div>
           </div>
 
diff --git a/frontend/app/components/ContentRadarChart.tsx b/frontend/app/components/ContentRadarChart.tsx
deleted file mode 100644
index 165f0cd..0000000
--- a/frontend/app/components/ContentRadarChart.tsx
+++ /dev/null
@@ -1,162 +0,0 @@
-"use client";
-
-import { useEffect, useMemo, useState } from "react";
-import type { Benchmark } from "./BenchmarksTable";
-import { useChartTheme } from "../lib/useChartTheme";
-import { escapeHtml } from "../lib/escapeHtml";
-import EChart from "./EChart";
-
-const CONTENT_CLASSES = ["mixed", "talkingHead", "action", "animation", "screen", "nature", "gaming"] as const;
-const CONTENT_LABELS: Record<string, string> = {
-  mixed: "Mixed",
-  talkingHead: "Talking Head",
-  action: "Action",
-  animation: "Animation",
-  screen: "Screen",
-  nature: "Nature",
-  gaming: "Gaming",
-};
-const COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
-const MAX_SELECTOR = 10;
-const MAX_SELECTED = 6;
-
-type CodecData = { codec: string; samples: number; scores: Record<string, number> };
-
-function computeCodecScores(data: Benchmark[]): CodecData[] {
-  const map = new Map<string, Map<string, { vmafSum: number; count: number }>>();
-  for (const row of data) {
-    if (typeof row.vmaf !== "number") continue;
-    const cc = row.contentClass ?? "mixed";
-    if (!map.has(row.codec)) map.set(row.codec, new Map());
-    const ccMap = map.get(row.codec)!;
-    if (!ccMap.has(cc)) ccMap.set(cc, { vmafSum: 0, count: 0 });
-    const e = ccMap.get(cc)!;
-    e.vmafSum += row.vmaf;
-    e.count += 1;
-  }
-  return Array.from(map.entries())
-    .map(([codec, ccMap]) => {
-      const scores: Record<string, number> = {};
-      let samples = 0;
-      for (const cc of CONTENT_CLASSES) {
-        const e = ccMap.get(cc);
-        scores[cc] = e && e.count > 0 ? e.vmafSum / e.count : 0;
-        if (e) samples += e.count;
-      }
-      return { codec, samples, scores };
-    })
-    .sort((a, b) => b.samples - a.samples || a.codec.localeCompare(b.codec));
-}
-
-export default function ContentRadarChart({ data, title = "Encoder Quality by Content Class" }: { data: Benchmark[]; title?: string }) {
-  const t = useChartTheme();
-  const allCodecs = useMemo(() => computeCodecScores(data), [data]);
-  const options = useMemo(() => allCodecs.slice(0, MAX_SELECTOR), [allCodecs]);
-  const [selected, setSelected] = useState<Set<string>>(() => new Set(allCodecs.slice(0, 4).map((d) => d.codec)));
-
-  useEffect(() => {
-    if (options.length === 0) return;
-    setSelected((prev) => {
-      const allowed = new Set(options.map((d) => d.codec));
-      const next = new Set(Array.from(prev).filter((c) => allowed.has(c)));
-      if (next.size === 0) options.slice(0, 4).forEach((d) => next.add(d.codec));
-      return next.size > MAX_SELECTED ? new Set(Array.from(next).slice(0, MAX_SELECTED)) : next;
-    });
-  }, [options]);
-
-  const activeClasses = useMemo(() => {
-    const seen = new Set(data.map((r) => r.contentClass ?? "mixed"));
-    return CONTENT_CLASSES.filter((cc) => seen.has(cc));
-  }, [data]);
-
-  const colorByCodec = useMemo(
-    () => new Map(options.map((entry, i) => [entry.codec, COLORS[i % COLORS.length]])),
-    [options],
-  );
-
-  const selectedData = options.filter((d) => selected.has(d.codec));
-
-  const option = useMemo(() => ({
-    backgroundColor: "transparent",
-    tooltip: {
-      trigger: "item",
-      backgroundColor: t.surface,
-      borderColor: t.border,
-      textStyle: { color: t.fg, fontSize: 12 },
-      formatter: (params: { name: string; value: number[] }) => {
-        const lines = activeClasses
-          .map((cc, i) => `${CONTENT_LABELS[cc] ?? cc}: <b>${(params.value[i] || 0).toFixed(1)}</b>`)
-          .join("<br/>");
-        return `<b>${escapeHtml(params.name)}</b><br/>${lines}`;
-      },
-    },
-    radar: {
-      indicator: activeClasses.map((cc) => ({ name: CONTENT_LABELS[cc] ?? cc, max: 100 })),
-      splitLine: { lineStyle: { color: t.border } },
-      axisLine: { lineStyle: { color: t.border } },
-      splitArea: { show: false },
-      axisName: { color: t.fg, fontSize: 11 },
-      center: ["50%", "50%"],
-      radius: "68%",
-    },
-    series: [
-      {
-        type: "radar",
-        data: selectedData.map((cd) => ({
-          name: cd.codec,
-          value: activeClasses.map((cc) => cd.scores[cc] || 0),
-          lineStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0], width: 2 },
-          areaStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0], opacity: 0.12 },
-          itemStyle: { color: colorByCodec.get(cd.codec) ?? COLORS[0] },
-          symbol: "circle",
-          symbolSize: 4,
-        })),
-      },
-    ],
-  }), [selectedData, activeClasses, colorByCodec, t]);
-
-  if (allCodecs.length === 0 || activeClasses.length < 3) return null;
-
-  const toggle = (codec: string) => {
-    setSelected((prev) => {
-      const next = new Set(prev);
-      if (next.has(codec)) { next.delete(codec); }
-      else if (next.size < MAX_SELECTED) { next.add(codec); }
-      return next;
-    });
-  };
-
-  return (
-    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
-      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
-      <div style={{ display: "flex", flexWrap: "wrap", gap: 5, marginBottom: 8, flex: "0 0 auto" }}>
-        {options.map((entry) => {
-          const isOn = selected.has(entry.codec);
-          const disabled = !isOn && selected.size >= MAX_SELECTED;
-          const color = colorByCodec.get(entry.codec) ?? COLORS[0];
-          return (
-            <button
-              key={entry.codec}
-              type="button"
-              title={`${entry.codec} (${entry.samples} samples)`}
-              onClick={() => !disabled && toggle(entry.codec)}
-              style={{
-                padding: "3px 10px",
-                borderRadius: 999,
-                fontSize: 11,
-                border: `1.5px solid ${isOn ? color : "var(--border)"}`,
-                background: isOn ? `color-mix(in srgb, ${color} 18%, var(--surface))` : "transparent",
-                color: "var(--foreground)",
-                cursor: disabled ? "not-allowed" : "pointer",
-                opacity: disabled ? 0.4 : 1,
-              }}
-            >
-              {entry.codec}
-            </button>
-          );
-        })}
-      </div>
-      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
-    </div>
-  );
-}
diff --git a/frontend/app/components/PassSpeedComparison.tsx b/frontend/app/components/PassSpeedComparison.tsx
deleted file mode 100644
index 356e5aa..0000000
--- a/frontend/app/components/PassSpeedComparison.tsx
+++ /dev/null
@@ -1,96 +0,0 @@
-"use client";
-
-import { useMemo } from "react";
-import type { Benchmark } from "./BenchmarksTable";
-import { useChartTheme } from "../lib/useChartTheme";
-import EChart from "./EChart";
-
-const MAX_BARS = 8;
-
-function shortCodec(codec: string): string {
-  if (codec.length <= 14) return codec;
-  return `${codec.slice(0, 11)}...`;
-}
-
-export default function PassSpeedComparison({ data, title = "1-Pass vs 2-Pass Encoding Speed" }: { data: Benchmark[]; title?: string }) {
-  const t = useChartTheme();
-
-  const { visible, hasTwoPass } = useMemo(() => {
-    const map = new Map<string, { fps1Sum: number; fps1N: number; fps2Sum: number; fps2N: number }>();
-    for (const row of data) {
-      if (!map.has(row.codec)) map.set(row.codec, { fps1Sum: 0, fps1N: 0, fps2Sum: 0, fps2N: 0 });
-      const e = map.get(row.codec)!;
-      if ((row.passes ?? 1) === 2) { e.fps2Sum += row.fps; e.fps2N += 1; }
-      else { e.fps1Sum += row.fps; e.fps1N += 1; }
-    }
-    const all = Array.from(map.entries())
-      .map(([codec, e]) => ({
-        codec,
-        fps1: e.fps1N > 0 ? e.fps1Sum / e.fps1N : 0,
-        fps2: e.fps2N > 0 ? e.fps2Sum / e.fps2N : 0,
-      }))
-      .filter((d) => d.fps1 > 0 || d.fps2 > 0)
-      .sort((a, b) => Math.max(b.fps1, b.fps2) - Math.max(a.fps1, a.fps2));
-    return { visible: all.slice(0, MAX_BARS), hasTwoPass: all.some((d) => d.fps2 > 0) };
-  }, [data]);
-
-  const option = useMemo(() => ({
-    backgroundColor: "transparent",
-    tooltip: {
-      trigger: "axis",
-      axisPointer: { type: "shadow" as const },
-      backgroundColor: t.surface,
-      borderColor: t.border,
-      textStyle: { color: t.fg },
-      formatter: (params: { seriesName: string; value: number }[]) =>
-        params.filter((p) => p.value > 0).map((p) => `${p.seriesName}: <b>${p.value.toFixed(1)} FPS</b>`).join("<br/>"),
-    },
-    legend: {
-      data: ["1-pass (CRF)", "2-pass (CBR/VBR)"],
-      textStyle: { color: t.fg, fontSize: 11 },
-      top: 4,
-    },
-    grid: { left: 52, right: 12, top: 32, bottom: 32, containLabel: false },
-    xAxis: {
-      type: "category",
-      data: visible.map((d) => shortCodec(d.codec)),
-      axisLine: { lineStyle: { color: t.border } },
-      axisTick: { lineStyle: { color: t.border } },
-      axisLabel: { color: t.fg, fontSize: 11 },
-    },
-    yAxis: {
-      type: "value",
-      name: "FPS",
-      nameTextStyle: { color: t.muted, fontSize: 11 },
-      axisLine: { show: false },
-      axisTick: { show: false },
-      axisLabel: { color: t.muted, fontSize: 11 },
-      splitLine: { lineStyle: { color: t.border } },
-    },
-    series: [
-      {
-        name: "1-pass (CRF)",
-        type: "bar",
-        data: visible.map((d) => d.fps1),
-        itemStyle: { color: "#6C8FD5", borderRadius: [3, 3, 0, 0] },
-        barMaxWidth: 40,
-      },
-      {
-        name: "2-pass (CBR/VBR)",
-        type: "bar",
-        data: visible.map((d) => d.fps2),
-        itemStyle: { color: "#d4a843", borderRadius: [3, 3, 0, 0] },
-        barMaxWidth: 40,
-      },
-    ],
-  }), [visible, t]);
-
-  if (visible.length === 0 || !hasTwoPass) return null;
-
-  return (
-    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
-      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
-      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
-    </div>
-  );
-}
diff --git a/frontend/app/components/ResolutionComparisonChart.tsx b/frontend/app/components/ResolutionComparisonChart.tsx
deleted file mode 100644
index 7abbe29..0000000
--- a/frontend/app/components/ResolutionComparisonChart.tsx
+++ /dev/null
@@ -1,153 +0,0 @@
-"use client";
-
-import { useEffect, useMemo, useState } from "react";
-import type { Benchmark } from "./BenchmarksTable";
-import { useChartTheme } from "../lib/useChartTheme";
-import { escapeHtml } from "../lib/escapeHtml";
-import EChart from "./EChart";
-
-const RESOLUTION_ORDER = ["480p", "720p", "1080p", "1440p", "4k"];
-const COLORS = ["#6C8FD5", "#52b788", "#9693CC", "#d4a843", "#e07a5f", "#8aabea"];
-const MAX_SELECTED = 4;
-const MAX_SELECTOR = 12;
-
-type ResolutionFps = { codec: string; fpsPerRes: Record<string, number>; avgFps: number; samples: number };
-
-function computeResolutionFps(data: Benchmark[]): ResolutionFps[] {
-  const byCodecAndRes = new Map<string, Map<string, { fpsSum: number; count: number }>>();
-  for (const row of data) {
-    const res = row.resolution ?? "1080p";
-    if (!byCodecAndRes.has(row.codec)) byCodecAndRes.set(row.codec, new Map());
-    const resMap = byCodecAndRes.get(row.codec)!;
-    if (!resMap.has(res)) resMap.set(res, { fpsSum: 0, count: 0 });
-    const e = resMap.get(res)!;
-    e.fpsSum += row.fps;
-    e.count += 1;
-  }
-  return Array.from(byCodecAndRes.entries())
-    .map(([codec, resMap]) => {
-      const fpsPerRes: Record<string, number> = {};
-      let totalFps = 0, totalN = 0;
-      for (const res of RESOLUTION_ORDER) {
-        const e = resMap.get(res);
-        const avg = e && e.count > 0 ? e.fpsSum / e.count : 0;
-        fpsPerRes[res] = avg;
-        if (e && e.count > 0) { totalFps += e.fpsSum; totalN += e.count; }
-      }
-      return { codec, fpsPerRes, avgFps: totalN > 0 ? totalFps / totalN : 0, samples: totalN };
-    })
-    .sort((a, b) => b.avgFps - a.avgFps || a.codec.localeCompare(b.codec));
-}
-
-export default function ResolutionComparisonChart({ data, title = "FPS by Resolution per Codec" }: { data: Benchmark[]; title?: string }) {
-  const t = useChartTheme();
-  const allCodecs = useMemo(() => computeResolutionFps(data), [data]);
-  const selectorOptions = useMemo(() => allCodecs.slice(0, Math.max(MAX_SELECTOR, MAX_SELECTED)), [allCodecs]);
-  const [selectedCodecs, setSelectedCodecs] = useState<Set<string>>(new Set());
-  const codecColorMap = useMemo(
-    () => new Map(selectorOptions.map((entry, i) => [entry.codec, COLORS[i % COLORS.length]])),
-    [selectorOptions],
-  );
-
-  const activeResolutions = useMemo(() => {
-    const seen = new Set(data.map((r) => r.resolution ?? "1080p"));
-    return RESOLUTION_ORDER.filter((r) => seen.has(r));
-  }, [data]);
-
-  useEffect(() => {
-    if (selectorOptions.length === 0) return;
-    setSelectedCodecs((prev) => {
-      const names = selectorOptions.map((d) => d.codec);
-      const next = new Set(Array.from(prev).filter((c) => names.includes(c)));
-      return next.size > 0 ? next : new Set(names.slice(0, MAX_SELECTED));
-    });
-  }, [selectorOptions]);
-
-  const shown = selectorOptions.filter((d) => selectedCodecs.has(d.codec));
-  const forChart = shown.length > 0 ? shown : selectorOptions.slice(0, 1);
-
-  const option = useMemo(() => ({
-    backgroundColor: "transparent",
-    tooltip: {
-      trigger: "axis",
-      axisPointer: { type: "shadow" as const },
-      backgroundColor: t.surface,
-      borderColor: t.border,
-      textStyle: { color: t.fg },
-      formatter: (params: { seriesName: string; value: number }[]) =>
-        params
-          .filter((p) => p.value > 0)
-          .map((p) => `${escapeHtml(p.seriesName)}: <b>${p.value.toFixed(1)} FPS</b>`)
-          .join("<br/>"),
-    },
-    grid: { left: 52, right: 12, top: 8, bottom: 32, containLabel: false },
-    xAxis: {
-      type: "category",
-      data: activeResolutions,
-      axisLine: { lineStyle: { color: t.border } },
-      axisTick: { lineStyle: { color: t.border } },
-      axisLabel: { color: t.fg, fontSize: 11 },
-    },
-    yAxis: {
-      type: "value",
-      name: "FPS",
-      nameTextStyle: { color: t.muted, fontSize: 11 },
-      axisLine: { show: false },
-      axisTick: { show: false },
-      axisLabel: { color: t.muted, fontSize: 11 },
-      splitLine: { lineStyle: { color: t.border } },
-    },
-    series: forChart.map((entry) => ({
-      name: entry.codec,
-      type: "bar",
-      data: activeResolutions.map((res) => entry.fpsPerRes[res] || 0),
-      itemStyle: { color: codecColorMap.get(entry.codec) ?? COLORS[0], borderRadius: [3, 3, 0, 0] },
-      barMaxWidth: 40,
-    })),
-  }), [activeResolutions, codecColorMap, forChart, t]);
-
-  if (allCodecs.length === 0 || activeResolutions.length < 2) return null;
-
-  const toggle = (codec: string) => {
-    setSelectedCodecs((prev) => {
-      const next = new Set(prev);
-      if (next.has(codec)) next.delete(codec);
-      else if (next.size < MAX_SELECTED) next.add(codec);
-      return next;
-    });
-  };
-
-  return (
-    <div className="card" style={{ padding: 12, height: "100%", display: "flex", flexDirection: "column", boxSizing: "border-box" }}>
-      <div style={{ fontWeight: 600, marginBottom: 8, flex: "0 0 auto" }}>{title}</div>
-      <div style={{ display: "flex", flexWrap: "wrap", gap: 5, marginBottom: 8, flex: "0 0 auto" }}>
-        {selectorOptions.map((entry) => {
-          const isOn = selectedCodecs.has(entry.codec);
-          const disabled = !isOn && selectedCodecs.size >= MAX_SELECTED;
-          const color = codecColorMap.get(entry.codec) ?? COLORS[0];
-          return (
-            <button
-              key={entry.codec}
-              type="button"
-              title={`${entry.codec} (${entry.samples} samples)`}
-              onClick={() => !disabled && toggle(entry.codec)}
-              style={{
-                padding: "3px 10px",
-                borderRadius: 999,
-                fontSize: 11,
-                border: `1.5px solid ${isOn ? color : "var(--border)"}`,
-                background: isOn ? `color-mix(in srgb, ${color} 18%, var(--surface))` : "transparent",
-                color: "var(--foreground)",
-                cursor: disabled ? "not-allowed" : "pointer",
-                opacity: disabled ? 0.4 : 1,
-              }}
-            >
-              {entry.codec}
-            </button>
-          );
-        })}
-      </div>
-      <div style={{ flex: 1, minHeight: 0 }}><EChart option={option} /></div>
-    </div>
-  );
-}
diff --git a/frontend/app/lib/fetchBenchmarksClient.ts b/frontend/app/lib/fetchBenchmarksClient.ts
deleted file mode 100644
index 9dca697..0000000
--- a/frontend/app/lib/fetchBenchmarksClient.ts
+++ /dev/null
@@ -1,13 +0,0 @@
-import type { Benchmark } from "./types";
-
-/** Client-side fetch with filter params, returns data + total count. Safe to use from "use client" components. */
-export async function fetchFilteredBenchmarks(
-  params: Record<string, string>,
-): Promise<{ data: Benchmark[]; total: number }> {
-  const qs = new URLSearchParams(params).toString();
-  const res = await fetch(`/api/query?${qs}`, { signal: AbortSignal.timeout(10000) });
-  if (!res.ok) throw new Error(`Failed to fetch: ${res.status}`);
-  const total = Number(res.headers.get("X-Total-Count") ?? "0");
-  const data: Benchmark[] = await res.json();
-  return { data, total };
-}
diff --git a/frontend/app/lib/types.ts b/frontend/app/lib/types.ts
index 959a2c1..a809a83 100644
--- a/frontend/app/lib/types.ts
+++ b/frontend/app/lib/types.ts
@@ -25,9 +25,6 @@ export type Benchmark = {
   vmafSamples?: number;
   ssimSamples?: number;
   psnrSamples?: number;
-  contentClass?: string | null;
-  resolution?: string | null;
-  passes?: number | null;
   gpuUtilAvg?: number | null;
   gpuPowerAvgW?: number | null;
   gpuMemPeakMB?: number | null;
diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs
deleted file mode 100644
index 719cea2..0000000
--- a/frontend/eslint.config.mjs
+++ /dev/null
@@ -1,25 +0,0 @@
-import { dirname } from "path";
-import { fileURLToPath } from "url";
-import { FlatCompat } from "@eslint/eslintrc";
-
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = dirname(__filename);
-
-const compat = new FlatCompat({
-  baseDirectory: __dirname,
-});
-
-const eslintConfig = [
-  ...compat.extends("next/core-web-vitals", "next/typescript"),
-  {
-    ignores: [
-      "node_modules/**",
-      ".next/**",
-      "out/**",
-      "build/**",
-      "next-env.d.ts",
-    ],
-  },
-];
-
-export default eslintConfig;
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index 2155303..826a017 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -10,32 +10,17 @@
       "dependencies": {
         "@tanstack/react-virtual": "^3.13.18",
         "echarts": "^6.0.0",
-        "next": "^15.5.12",
+        "next": "^16.1.6",
         "react": "19.1.0",
         "react-dom": "19.1.0"
       },
       "devDependencies": {
-        "@eslint/eslintrc": "^3",
         "@types/node": "^20",
         "@types/react": "^19",
         "@types/react-dom": "^19",
-        "eslint": "^9",
-        "eslint-config-next": "15.5.4",
         "typescript": "^5"
       }
     },
-    "node_modules/@emnapi/core": {
-      "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.5.0.tgz",
-      "integrity": "sha512-sbP8GzB1WDzacS8fgNPpHlp6C9VZe+SJP3F90W9rLemaQj2PzIuTEl1qDOYQf58YIpyjViI24y9aPWCjEzY2cg==",
-      "dev": true,
-      "license": "MIT",
-      "optional": true,
-      "dependencies": {
-        "@emnapi/wasi-threads": "1.1.0",
-        "tslib": "^2.4.0"
-      }
-    },
     "node_modules/@emnapi/runtime": {
       "version": "1.5.0",
       "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.5.0.tgz",
@@ -46,210 +31,6 @@
         "tslib": "^2.4.0"
       }
     },
-    "node_modules/@emnapi/wasi-threads": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.1.0.tgz",
-      "integrity": "sha512-WI0DdZ8xFSbgMjR1sFsKABJ/C5OnRrjT06JXbZKexJGrDuPTzZdDYfFlsgcCXCyf+suG5QU2e/y1Wo2V/OapLQ==",
-      "dev": true,
-      "license": "MIT",
-      "optional": true,
-      "dependencies": {
-        "tslib": "^2.4.0"
-      }
-    },
-    "node_modules/@eslint-community/eslint-utils": {
-      "version": "4.9.0",
-      "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.9.0.tgz",
-      "integrity": "sha512-ayVFHdtZ+hsq1t2Dy24wCmGXGe4q9Gu3smhLYALJrr473ZH27MsnSL+LKUlimp4BWJqMDMLmPpx/Q9R3OAlL4g==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "eslint-visitor-keys": "^3.4.3"
-      },
-      "engines": {
-        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
-      },
-      "funding": {
-        "url": "https://opencollective.com/eslint"
-      },
-      "peerDependencies": {
-        "eslint": "^6.0.0 || ^7.0.0 || >=8.0.0"
-      }
-    },
-    "node_modules/@eslint-community/eslint-utils/node_modules/eslint-visitor-keys": {
-      "version": "3.4.3",
-      "resolved": "https://registry.npmjs.org/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz",
-      "integrity": "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
-      },
-      "funding": {
-        "url": "https://opencollective.com/eslint"
-      }
-    },
-    "node_modules/@eslint-community/regexpp": {
-      "version": "4.12.1",
-      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.12.1.tgz",
-      "integrity": "sha512-CCZCDJuduB9OUkFkY2IgppNZMi2lBQgD2qzwXkEia16cge2pijY/aXi96CJMquDMn3nJdlPV1A5KrJEXwfLNzQ==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
-      }
-    },
-    "node_modules/@eslint/config-array": {
-      "version": "0.21.0",
-      "resolved": "https://registry.npmjs.org/@eslint/config-array/-/config-array-0.21.0.tgz",
-      "integrity": "sha512-ENIdc4iLu0d93HeYirvKmrzshzofPw6VkZRKQGe9Nv46ZnWUzcF1xV01dcvEg/1wXUR61OmmlSfyeyO7EvjLxQ==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@eslint/object-schema": "^2.1.6",
-        "debug": "^4.3.1",
-        "minimatch": "^3.1.2"
-      },
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
-      }
-    },
-    "node_modules/@eslint/config-helpers": {
-      "version": "0.3.1",
-      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.3.1.tgz",
-      "integrity": "sha512-xR93k9WhrDYpXHORXpxVL5oHj3Era7wo6k/Wd8/IsQNnZUTzkGS29lyn3nAT05v6ltUuTFVCCYDEGfy2Or/sPA==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
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-    "node_modules/@eslint/core": {
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-      "resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.15.2.tgz",
-      "integrity": "sha512-78Md3/Rrxh83gCxoUc0EiciuOHsIITzLy53m3d9UyiW8y9Dj2D29FeETqyKA+BRK76tnTp6RXWb3pCay8Oyomg==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@types/json-schema": "^7.0.15"
-      },
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
-      }
-    },
-    "node_modules/@eslint/eslintrc": {
-      "version": "3.3.1",
-      "resolved": "https://registry.npmjs.org/@eslint/eslintrc/-/eslintrc-3.3.1.tgz",
-      "integrity": "sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "ajv": "^6.12.4",
-        "debug": "^4.3.2",
-        "espree": "^10.0.1",
-        "globals": "^14.0.0",
-        "ignore": "^5.2.0",
-        "import-fresh": "^3.2.1",
-        "js-yaml": "^4.1.0",
-        "minimatch": "^3.1.2",
-        "strip-json-comments": "^3.1.1"
-      },
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
-      },
-      "funding": {
-        "url": "https://opencollective.com/eslint"
-      }
-    },
-    "node_modules/@eslint/js": {
-      "version": "9.36.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.36.0.tgz",
-      "integrity": "sha512-uhCbYtYynH30iZErszX78U+nR3pJU3RHGQ57NXy5QupD4SBVwDeU8TNBy+MjMngc1UyIW9noKqsRqfjQTBU2dw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
-      },
-      "funding": {
-        "url": "https://eslint.org/donate"
-      }
-    },
-    "node_modules/@eslint/object-schema": {
-      "version": "2.1.6",
-      "resolved": "https://registry.npmjs.org/@eslint/object-schema/-/object-schema-2.1.6.tgz",
-      "integrity": "sha512-RBMg5FRL0I0gs51M/guSAj5/e14VQ4tpZnQNWwuDT66P14I43ItmPfIZRhO9fUVIPOAQXU47atlywZ/czoqFPA==",
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-      "engines": {
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-      }
-    },
-    "node_modules/@eslint/plugin-kit": {
-      "version": "0.3.5",
-      "resolved": "https://registry.npmjs.org/@eslint/plugin-kit/-/plugin-kit-0.3.5.tgz",
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-        "levn": "^0.4.1"
-      },
-      "engines": {
-        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
-      }
-    },
-    "node_modules/@humanfs/core": {
-      "version": "0.19.1",
-      "resolved": "https://registry.npmjs.org/@humanfs/core/-/core-0.19.1.tgz",
-      "integrity": "sha512-5DyQ4+1JEUzejeK1JGICcideyfUbGixgS9jNgex5nqkW+cY7WZhxBigmieN5Qnw9ZosSNVC9KQKyb+GUaGyKUA==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": ">=18.18.0"
-      }
-    },
-    "node_modules/@humanfs/node": {
-      "version": "0.16.7",
-      "resolved": "https://registry.npmjs.org/@humanfs/node/-/node-0.16.7.tgz",
-      "integrity": "sha512-/zUx+yOsIrG4Y43Eh2peDeKCxlRt/gET6aHfaKpuq267qXdYDFViVHfMaLyygZOnl0kGWxFIgsBy8QFuTLUXEQ==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@humanfs/core": "^0.19.1",
-        "@humanwhocodes/retry": "^0.4.0"
-      },
-      "engines": {
-        "node": ">=18.18.0"
-      }
-    },
-    "node_modules/@humanwhocodes/module-importer": {
-      "version": "1.0.1",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/module-importer/-/module-importer-1.0.1.tgz",
-      "integrity": "sha512-bxveV4V8v5Yb4ncFTT3rPSgZBOpCkjfK0y4oVVVJwIuDVBRMDXrPyXRL988i5ap9m9bnyEEjWfm5WkBmtffLfA==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": ">=12.22"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/nzakas"
-      }
-    },
-    "node_modules/@humanwhocodes/retry": {
-      "version": "0.4.3",
-      "resolved": "https://registry.npmjs.org/@humanwhocodes/retry/-/retry-0.4.3.tgz",
-      "integrity": "sha512-bV0Tgo9K4hfPCek+aMAn81RppFKv2ySDQeMoSZuvTASywNTnVJCArCZE2FWqpvIatKu7VMRLWlR1EazvVhDyhQ==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": ">=18.18"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/nzakas"
-      }
-    },
     "node_modules/@img/colour": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/@img/colour/-/colour-1.0.0.tgz",
@@ -678,39 +459,16 @@
         "url": "https://opencollective.com/libvips"
       }
     },
-    "node_modules/@napi-rs/wasm-runtime": {
-      "version": "0.2.12",
-      "resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-0.2.12.tgz",
-      "integrity": "sha512-ZVWUcfwY4E/yPitQJl481FjFo3K22D6qF0DuFH6Y/nbnE11GY5uguDxZMGXPQ8WQ0128MXQD7TnfHyK4oWoIJQ==",
-      "dev": true,
-      "license": "MIT",
-      "optional": true,
-      "dependencies": {
-        "@emnapi/core": "^1.4.3",
-        "@emnapi/runtime": "^1.4.3",
-        "@tybys/wasm-util": "^0.10.0"
-      }
-    },
     "node_modules/@next/env": {
-      "version": "15.5.12",
-      "resolved": "https://registry.npmjs.org/@next/env/-/env-15.5.12.tgz",
-      "integrity": "sha512-pUvdJN1on574wQHjaBfNGDt9Mz5utDSZFsIIQkMzPgNS8ZvT4H2mwOrOIClwsQOb6EGx5M76/CZr6G8i6pSpLg==",
+      "version": "16.1.6",
+      "resolved": "https://registry.npmjs.org/@next/env/-/env-16.1.6.tgz",
+      "integrity": "sha512-N1ySLuZjnAtN3kFnwhAwPvZah8RJxKasD7x1f8shFqhncnWZn4JMfg37diLNuoHsLAlrDfM3g4mawVdtAG8XLQ==",
       "license": "MIT"
     },
-    "node_modules/@next/eslint-plugin-next": {
-      "version": "15.5.4",
-      "resolved": "https://registry.npmjs.org/@next/eslint-plugin-next/-/eslint-plugin-next-15.5.4.tgz",
-      "integrity": "sha512-SR1vhXNNg16T4zffhJ4TS7Xn7eq4NfKfcOsRwea7RIAHrjRpI9ALYbamqIJqkAhowLlERffiwk0FMvTLNdnVtw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "fast-glob": "3.3.1"
-      }
-    },
     "node_modules/@next/swc-darwin-arm64": {
-      "version": "15.5.12",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-15.5.12.tgz",
-      "integrity": "sha512-RnRjBtH8S8eXCpUNkQ+543DUc7ys8y15VxmFU9HRqlo9BG3CcBUiwNtF8SNoi2xvGCVJq1vl2yYq+3oISBS0Zg==",
+      "version": "16.1.6",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-16.1.6.tgz",
+      "integrity": "sha512-wTzYulosJr/6nFnqGW7FrG3jfUUlEf8UjGA0/pyypJl42ExdVgC6xJgcXQ+V8QFn6niSG2Pb8+MIG1mZr2vczw==",
       "cpu": [
         "arm64"
       ],
@@ -724,9 +482,9 @@
       }
     },
     "node_modules/@next/swc-darwin-x64": {
-      "version": "15.5.12",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-15.5.12.tgz",
-      "integrity": "sha512-nqa9/7iQlboF1EFtNhWxQA0rQstmYRSBGxSM6g3GxvxHxcoeqVXfGNr9stJOme674m2V7r4E3+jEhhGvSQhJRA==",
+      "version": "16.1.6",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-16.1.6.tgz",
+      "integrity": "sha512-BLFPYPDO+MNJsiDWbeVzqvYd4NyuRrEYVB5k2N3JfWncuHAy2IVwMAOlVQDFjj+krkWzhY2apvmekMkfQR0CUQ==",
       "cpu": [
         "x64"
       ],
@@ -740,9 +498,9 @@
       }
     },
     "node_modules/@next/swc-linux-arm64-gnu": {
-      "version": "15.5.12",
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-      "dev": true,
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-        "possible-typed-array-names": "^1.0.0",
-        "reflect.getprototypeof": "^1.0.6"
+        "client-only": "0.0.1"
       },
       "engines": {
-        "node": ">= 0.4"
+        "node": ">= 12.0.0"
       },
-      "funding": {
-        "url": "https://github.com/sponsors/ljharb"
+      "peerDependencies": {
+        "react": ">= 16.8.0 || 17.x.x || ^18.0.0-0 || ^19.0.0-0"
+      },
+      "peerDependenciesMeta": {
+        "@babel/core": {
+          "optional": true
+        },
+        "babel-plugin-macros": {
+          "optional": true
+        }
       }
     },
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       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz",
@@ -5199,25 +970,6 @@
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-      "license": "MIT",
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@@ -5225,179 +977,6 @@
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-        "@unrs/resolver-binding-android-arm64": "1.11.1",
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-        "@unrs/resolver-binding-darwin-x64": "1.11.1",
-        "@unrs/resolver-binding-freebsd-x64": "1.11.1",
-        "@unrs/resolver-binding-linux-arm-gnueabihf": "1.11.1",
-        "@unrs/resolver-binding-linux-arm-musleabihf": "1.11.1",
-        "@unrs/resolver-binding-linux-arm64-gnu": "1.11.1",
-        "@unrs/resolver-binding-linux-arm64-musl": "1.11.1",
-        "@unrs/resolver-binding-linux-ppc64-gnu": "1.11.1",
-        "@unrs/resolver-binding-linux-riscv64-gnu": "1.11.1",
-        "@unrs/resolver-binding-linux-riscv64-musl": "1.11.1",
-        "@unrs/resolver-binding-linux-s390x-gnu": "1.11.1",
-        "@unrs/resolver-binding-linux-x64-gnu": "1.11.1",
-        "@unrs/resolver-binding-linux-x64-musl": "1.11.1",
-        "@unrs/resolver-binding-wasm32-wasi": "1.11.1",
-        "@unrs/resolver-binding-win32-arm64-msvc": "1.11.1",
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diff --git a/frontend/package.json b/frontend/package.json
index 35cd599..3326055 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -6,22 +6,20 @@
     "dev": "next dev --turbopack",
     "build": "next build --turbopack",
     "start": "next start",
-    "lint": "eslint"
+    "typecheck": "tsc --noEmit",
+    "lint": "npm run typecheck"
   },
   "dependencies": {
     "@tanstack/react-virtual": "^3.13.18",
     "echarts": "^6.0.0",
-    "next": "^15.5.12",
+    "next": "^16.1.6",
     "react": "19.1.0",
     "react-dom": "19.1.0"
   },
   "devDependencies": {
-    "@eslint/eslintrc": "^3",
     "@types/node": "^20",
     "@types/react": "^19",
     "@types/react-dom": "^19",
-    "eslint": "^9",
-    "eslint-config-next": "15.5.4",
     "typescript": "^5"
   }
 }
diff --git a/frontend/public/file.svg b/frontend/public/file.svg
deleted file mode 100644
index 004145c..0000000
--- a/frontend/public/file.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg fill="none" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg"><path d="M14.5 13.5V5.41a1 1 0 0 0-.3-.7L9.8.29A1 1 0 0 0 9.08 0H1.5v13.5A2.5 2.5 0 0 0 4 16h8a2.5 2.5 0 0 0 2.5-2.5m-1.5 0v-7H8v-5H3v12a1 1 0 0 0 1 1h8a1 1 0 0 0 1-1M9.5 5V2.12L12.38 5zM5.13 5h-.62v1.25h2.12V5zm-.62 3h7.12v1.25H4.5zm.62 3h-.62v1.25h7.12V11z" clip-rule="evenodd" fill="#666" fill-rule="evenodd"/></svg>
\ No newline at end of file
diff --git a/frontend/public/globe.svg b/frontend/public/globe.svg
deleted file mode 100644
index 567f17b..0000000
--- a/frontend/public/globe.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><g clip-path="url(#a)"><path fill-rule="evenodd" clip-rule="evenodd" d="M10.27 14.1a6.5 6.5 0 0 0 3.67-3.45q-1.24.21-2.7.34-.31 1.83-.97 3.1M8 16A8 8 0 1 0 8 0a8 8 0 0 0 0 16m.48-1.52a7 7 0 0 1-.96 0H7.5a4 4 0 0 1-.84-1.32q-.38-.89-.63-2.08a40 40 0 0 0 3.92 0q-.25 1.2-.63 2.08a4 4 0 0 1-.84 1.31zm2.94-4.76q1.66-.15 2.95-.43a7 7 0 0 0 0-2.58q-1.3-.27-2.95-.43a18 18 0 0 1 0 3.44m-1.27-3.54a17 17 0 0 1 0 3.64 39 39 0 0 1-4.3 0 17 17 0 0 1 0-3.64 39 39 0 0 1 4.3 0m1.1-1.17q1.45.13 2.69.34a6.5 6.5 0 0 0-3.67-3.44q.65 1.26.98 3.1M8.48 1.5l.01.02q.41.37.84 1.31.38.89.63 2.08a40 40 0 0 0-3.92 0q.25-1.2.63-2.08a4 4 0 0 1 .85-1.32 7 7 0 0 1 .96 0m-2.75.4a6.5 6.5 0 0 0-3.67 3.44 29 29 0 0 1 2.7-.34q.31-1.83.97-3.1M4.58 6.28q-1.66.16-2.95.43a7 7 0 0 0 0 2.58q1.3.27 2.95.43a18 18 0 0 1 0-3.44m.17 4.71q-1.45-.12-2.69-.34a6.5 6.5 0 0 0 3.67 3.44q-.65-1.27-.98-3.1" fill="#666"/></g><defs><clipPath id="a"><path fill="#fff" d="M0 0h16v16H0z"/></clipPath></defs></svg>
\ No newline at end of file
diff --git a/frontend/public/next.svg b/frontend/public/next.svg
deleted file mode 100644
index 5174b28..0000000
--- a/frontend/public/next.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 394 80"><path fill="#000" d="M262 0h68.5v12.7h-27.2v66.6h-13.6V12.7H262V0ZM149 0v12.7H94v20.4h44.3v12.6H94v21h55v12.6H80.5V0h68.7zm34.3 0h-17.8l63.8 79.4h17.9l-32-39.7 32-39.6h-17.9l-23 28.6-23-28.6zm18.3 56.7-9-11-27.1 33.7h17.8l18.3-22.7z"/><path fill="#000" d="M81 79.3 17 0H0v79.3h13.6V17l50.2 62.3H81Zm252.6-.4c-1 0-1.8-.4-2.5-1s-1.1-1.6-1.1-2.6.3-1.8 1-2.5 1.6-1 2.6-1 1.8.3 2.5 1a3.4 3.4 0 0 1 .6 4.3 3.7 3.7 0 0 1-3 1.8zm23.2-33.5h6v23.3c0 2.1-.4 4-1.3 5.5a9.1 9.1 0 0 1-3.8 3.5c-1.6.8-3.5 1.3-5.7 1.3-2 0-3.7-.4-5.3-1s-2.8-1.8-3.7-3.2c-.9-1.3-1.4-3-1.4-5h6c.1.8.3 1.6.7 2.2s1 1.2 1.6 1.5c.7.4 1.5.5 2.4.5 1 0 1.8-.2 2.4-.6a4 4 0 0 0 1.6-1.8c.3-.8.5-1.8.5-3V45.5zm30.9 9.1a4.4 4.4 0 0 0-2-3.3 7.5 7.5 0 0 0-4.3-1.1c-1.3 0-2.4.2-3.3.5-.9.4-1.6 1-2 1.6a3.5 3.5 0 0 0-.3 4c.3.5.7.9 1.3 1.2l1.8 1 2 .5 3.2.8c1.3.3 2.5.7 3.7 1.2a13 13 0 0 1 3.2 1.8 8.1 8.1 0 0 1 3 6.5c0 2-.5 3.7-1.5 5.1a10 10 0 0 1-4.4 3.5c-1.8.8-4.1 1.2-6.8 1.2-2.6 0-4.9-.4-6.8-1.2-2-.8-3.4-2-4.5-3.5a10 10 0 0 1-1.7-5.6h6a5 5 0 0 0 3.5 4.6c1 .4 2.2.6 3.4.6 1.3 0 2.5-.2 3.5-.6 1-.4 1.8-1 2.4-1.7a4 4 0 0 0 .8-2.4c0-.9-.2-1.6-.7-2.2a11 11 0 0 0-2.1-1.4l-3.2-1-3.8-1c-2.8-.7-5-1.7-6.6-3.2a7.2 7.2 0 0 1-2.4-5.7 8 8 0 0 1 1.7-5 10 10 0 0 1 4.3-3.5c2-.8 4-1.2 6.4-1.2 2.3 0 4.4.4 6.2 1.2 1.8.8 3.2 2 4.3 3.4 1 1.4 1.5 3 1.5 5h-5.8z"/></svg>
\ No newline at end of file
diff --git a/frontend/public/vercel.svg b/frontend/public/vercel.svg
deleted file mode 100644
index 7705396..0000000
--- a/frontend/public/vercel.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1155 1000"><path d="m577.3 0 577.4 1000H0z" fill="#fff"/></svg>
\ No newline at end of file
diff --git a/frontend/public/window.svg b/frontend/public/window.svg
deleted file mode 100644
index b2b2a44..0000000
--- a/frontend/public/window.svg
+++ /dev/null
@@ -1 +0,0 @@
-<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.5 2.5h13v10a1 1 0 0 1-1 1h-11a1 1 0 0 1-1-1zM0 1h16v11.5a2.5 2.5 0 0 1-2.5 2.5h-11A2.5 2.5 0 0 1 0 12.5zm3.75 4.5a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5M7 4.75a.75.75 0 1 1-1.5 0 .75.75 0 0 1 1.5 0m1.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5" fill="#666"/></svg>
\ No newline at end of file
diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json
index d8b9323..e7ff3a2 100644
--- a/frontend/tsconfig.json
+++ b/frontend/tsconfig.json
@@ -1,7 +1,11 @@
 {
   "compilerOptions": {
     "target": "ES2017",
-    "lib": ["dom", "dom.iterable", "esnext"],
+    "lib": [
+      "dom",
+      "dom.iterable",
+      "esnext"
+    ],
     "allowJs": true,
     "skipLibCheck": true,
     "strict": true,
@@ -11,7 +15,7 @@
     "moduleResolution": "bundler",
     "resolveJsonModule": true,
     "isolatedModules": true,
-    "jsx": "preserve",
+    "jsx": "react-jsx",
     "incremental": true,
     "plugins": [
       {
@@ -19,9 +23,19 @@
       }
     ],
     "paths": {
-      "@/*": ["./*"]
+      "@/*": [
+        "./*"
+      ]
     }
   },
-  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
-  "exclude": ["node_modules"]
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts"
+  ],
+  "exclude": [
+    "node_modules"
+  ]
 }
diff --git a/scripts/NUKE_DATA/NUKE_DATA.sh b/scripts/NUKE_DATA/NUKE_DATA.sh
deleted file mode 100644
index 9c7fcff..0000000
--- a/scripts/NUKE_DATA/NUKE_DATA.sh
+++ /dev/null
@@ -1 +0,0 @@
-docker compose exec db psql -U app -d benchmarks -c 'TRUNCATE TABLE "Benchmark" RESTART IDENTITY CASCADE;'
\ No newline at end of file
diff --git a/scripts/api_hardening_test.sh b/scripts/api_hardening_test.sh
deleted file mode 100755
index e3329b7..0000000
--- a/scripts/api_hardening_test.sh
+++ /dev/null
@@ -1,127 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Resolve repo root relative to this script (portable for CI and local)
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd -P)"
-COMPOSE="docker compose -f \"$ROOT_DIR/docker-compose.prod.yml\""
-
-# If API_BASE_URL is provided (e.g., in CI), test against it and avoid local stack control
-BASE_URL="${API_BASE_URL:-http://localhost:3001}"
-CAN_CONTROL_STACK=1
-if [[ -n "${API_BASE_URL:-}" ]]; then
-  CAN_CONTROL_STACK=0
-fi
-# Allow mutation tests (POST /submit, outage) on remote only when explicitly opted in
-ALLOW_MUTATION_REMOTE="${ALLOW_MUTATION_REMOTE:-0}"
-
-pass() { echo -e "[PASS] $1"; }
-fail() { echo -e "[FAIL] $1"; exit 1; }
-
-retry_curl_json() {
-  local path="$1"; shift
-  for i in {1..90}; do
-    if curl -sf "$BASE_URL$path" >/dev/null; then return 0; fi
-    sleep 1
-  done
-  return 1
-}
-
-echo "[prep] Ensuring stack is up or reachable"
-if [[ "$CAN_CONTROL_STACK" -eq 1 ]]; then
-  eval "$COMPOSE up -d >/dev/null"
-else
-  echo "[prep] Using remote API_BASE_URL=$BASE_URL; skipping docker compose up"
-fi
-
-echo "[wait] Waiting for readiness"
-if ! retry_curl_json /health/ready; then
-  if [[ "$CAN_CONTROL_STACK" -eq 1 ]]; then
-    eval "$COMPOSE logs server | tail -n 200" || true
-  fi
-  fail "Server not ready"
-fi
-
-echo "[check] Health endpoints"
-curl -sf "$BASE_URL/health/live" >/dev/null || fail "live"
-curl -sf "$BASE_URL/health/ready" >/dev/null || fail "ready"
-curl -sf "$BASE_URL/health" >/dev/null || fail "health"
-pass "health endpoints"
-
-if [[ "$CAN_CONTROL_STACK" -eq 1 || "$ALLOW_MUTATION_REMOTE" == "1" ]]; then
-  echo "[check] Validation and coercion"
-  code=$(curl -s -o /dev/null -w "%{http_code}" -X POST "$BASE_URL/submit" -H "Content-Type: application/json" -d '{}')
-  [[ "$code" == "400" ]] || fail "invalid payload should 400"
-  code=$(curl -s -o /dev/null -w "%{http_code}" -X POST "$BASE_URL/submit" -H "Content-Type: application/json" -d '{"cpuModel":"CPU","gpuModel":null,"ramGB":"16","os":"macOS","codec":"libx264","preset":"fast","fps":"12.3","fileSizeBytes":"1000"}')
-  [[ "$code" == "201" || "$code" == "200" ]] || fail "coercion submit should 201/200"
-  pass "validation/coercion"
-else
-  echo "[skip] Validation/coercion (no stack control and ALLOW_MUTATION_REMOTE!=1)"
-fi
-
-# Public ingest: ensure no API key required and method guard works
-echo "[check] Public ingest behavior"
-code=$(curl -s -o /dev/null -w "%{http_code}" -X POST "$BASE_URL/submit" -H "Content-Type: application/json" -d '{"cpuModel":"CPU","gpuModel":null,"ramGB":16,"os":"macOS","codec":"libx264","preset":"fast","fps":1,"fileSizeBytes":10240}')
-[[ "$code" == "201" || "$code" == "200" || "$code" == "400" ]] || fail "public ingest should not 401"
-code=$(curl -s -o /dev/null -w "%{http_code}" -X GET "$BASE_URL/submit")
-[[ "$code" == "405" ]] || fail "/submit should reject GET with 405"
-pass "public ingest"
-
-echo "[check] CORS preflight"
-if [[ "$CAN_CONTROL_STACK" -eq 1 ]]; then
-  out=$(curl -i -s -X OPTIONS "$BASE_URL/submit" -H 'Origin: http://localhost:3000' -H 'Access-Control-Request-Method: POST')
-  echo "$out" | grep -qi "Access-Control-Allow-Origin: http://localhost:3000" || fail "cors origin"
-  pass "cors preflight"
-else
-  echo "[skip] CORS preflight (remote URL; origin rules may differ)"
-fi
-
-if [[ "$CAN_CONTROL_STACK" -eq 1 || "$ALLOW_MUTATION_REMOTE" == "1" ]]; then
-  echo "[check] Body size limit"
-  tmpbig=$(mktemp)
-  python3 - <<'PY' > "$tmpbig"
-print('{'+"\"cpuModel\":\"CPU\",\"ramGB\":16,\"os\":\"macOS\",\"codec\":\"libx264\",\"preset\":\"fast\",\"fps\":1,\"fileSizeBytes\":1,\"notes\":\"" + ('x'*2*1024*1024) + "\"}")
-PY
-  code=$(curl -s -o /dev/null -w "%{http_code}" -X POST "$BASE_URL/submit" -H "Content-Type: application/json" --data-binary @"$tmpbig")
-  rm -f "$tmpbig"
-  [[ "$code" == "413" || "$code" == "400" ]] || fail "body limit should reject large payload"
-  pass "body limit"
-else
-  echo "[skip] Body size limit (no stack control and ALLOW_MUTATION_REMOTE!=1)"
-fi
-
-echo "[check] Rate limiting"
-codes=$(for i in {1..50}; do curl -s -o /dev/null -w "%{http_code} " "$BASE_URL/health"; done)
-echo "$codes" | grep -q "429" && fail "health endpoints should be skipped from rate limit"
-pass "rate limit skip for health"
-
-if [[ "$CAN_CONTROL_STACK" -eq 1 ]]; then
-  echo "[check] DB outage handling"
-  eval "$COMPOSE stop db >/dev/null"
-  sleep 1
-  code=$(curl -s -o /dev/null -w "%{http_code}" "$BASE_URL/health/ready")
-  [[ "$code" == "503" ]] || fail "ready should degrade when DB down"
-  eval "$COMPOSE start db >/dev/null"
-  retry_curl_json /health/ready || fail "ready should recover after DB up"
-  pass "db outage and recovery"
-else
-  echo "[skip] DB outage handling (no stack control)"
-fi
-
-if [[ "$CAN_CONTROL_STACK" -eq 1 ]]; then
-  echo "[check] Graceful shutdown"
-  eval "$COMPOSE stop server >/dev/null" || true
-  sleep 1
-  eval "$COMPOSE start server >/dev/null"
-  retry_curl_json /health/ready || fail "server should recover after restart"
-  pass "graceful restart"
-else
-  echo "[skip] Graceful restart (no stack control)"
-fi
-
-echo "[check] Query endpoint returns data"
-curl -sf "$BASE_URL/query" >/dev/null || fail "query"
-pass "query"
-
-echo "ALL CHECKS PASSED"
-
diff --git a/scripts/build_linux_client.sh b/scripts/build_linux_client.sh
deleted file mode 100755
index 206754c..0000000
--- a/scripts/build_linux_client.sh
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Build a Linux standalone client with PyInstaller
-# Requirements: python3, pip, pyinstaller; ffmpeg/ffprobe in client/bin/linux
-
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. && pwd)"
-CLIENT_DIR="$ROOT_DIR/client"
-BUILD_DIR="$CLIENT_DIR/dist/linux"
-BIN_SRC_DIR="$CLIENT_DIR/bin/linux"
-
-echo "[Linux] Preparing build directories..."
-rm -rf "$BUILD_DIR"
-mkdir -p "$BUILD_DIR/bin/linux"
-
-echo "[Linux] Verifying ffmpeg/ffprobe binaries..."
-if [[ ! -x "$BIN_SRC_DIR/ffmpeg" ]] || [[ ! -x "$BIN_SRC_DIR/ffprobe" ]]; then
-  echo "ERROR: Expected ffmpeg and ffprobe at $BIN_SRC_DIR" >&2
-  exit 1
-fi
-
-echo "[Linux] Copying resources..."
-cp -f "$BIN_SRC_DIR/ffmpeg" "$BUILD_DIR/bin/linux/"
-cp -f "$BIN_SRC_DIR/ffprobe" "$BUILD_DIR/bin/linux/"
-chmod +x "$BUILD_DIR/bin/linux/ffmpeg" "$BUILD_DIR/bin/linux/ffprobe"
-cp -f "$ROOT_DIR/sample.mp4" "$BUILD_DIR/" || true
-cp -f "$CLIENT_DIR/presets.json" "$BUILD_DIR/" || true
-
-echo "[Linux] Running PyInstaller..."
-cd "$ROOT_DIR"
-pyinstaller \
-  --onefile \
-  --name encodingdb-client-linux \
-  --paths . \
-  --add-data "$BUILD_DIR/bin/linux:bin/linux" \
-  --add-data "$BUILD_DIR/sample.mp4:." \
-  --add-data "$BUILD_DIR/presets.json:." \
-  client/_pyinstaller_entry.py
-
-echo "[Linux] Moving artifact to $BUILD_DIR..."
-mv -f "$ROOT_DIR/dist/encodingdb-client-linux" "$BUILD_DIR/encodingdb-client-linux" 2>/dev/null || true
-mv -f "$ROOT_DIR/dist/encodingdb-client-linux"* "$BUILD_DIR/" 2>/dev/null || true
-
-echo "[Linux] Build complete: $BUILD_DIR"
-
diff --git a/scripts/build_macos_client.sh b/scripts/build_macos_client.sh
index 9959c58..4fcfcc8 100755
--- a/scripts/build_macos_client.sh
+++ b/scripts/build_macos_client.sh
@@ -1,45 +1,79 @@
 #!/usr/bin/env bash
 set -euo pipefail
 
-# Build a macOS standalone client with PyInstaller
-# Requirements: python3, pip, pyinstaller installed in a venv; ffmpeg/ffprobe binaries present under client/bin/mac/
-
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. && pwd)"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
 CLIENT_DIR="$ROOT_DIR/client"
-BUILD_DIR="$CLIENT_DIR/dist/macos"
-BIN_SRC_DIR="$CLIENT_DIR/bin/mac"
+BIN_DIR="$CLIENT_DIR/bin/mac"
+APP_NAME="encodingdb-client-macos"
+ENTRYPOINT="$CLIENT_DIR/_pyinstaller_entry.py"
+BUILD_ROOT="$ROOT_DIR/.build/clients/macos"
+LEGACY_DIST_DIR="$CLIENT_DIR/dist/macos"
+PYI_DIST_DIR="$BUILD_ROOT/dist"
+PYI_WORK_DIR="$BUILD_ROOT/work"
+PYI_SPEC_DIR="$BUILD_ROOT/spec"
+OUTPUT_PATH="$ROOT_DIR/$APP_NAME"
 
-echo "[macOS] Preparing build directories..."
-rm -rf "$BUILD_DIR"
-mkdir -p "$BUILD_DIR/bin/mac"
+log() {
+  echo "[macOS] $*"
+}
 
-echo "[macOS] Verifying ffmpeg/ffprobe binaries..."
-if [[ ! -x "$BIN_SRC_DIR/ffmpeg" ]] || [[ ! -x "$BIN_SRC_DIR/ffprobe" ]]; then
-  echo "ERROR: Expected ffmpeg and ffprobe at $BIN_SRC_DIR" >&2
+die() {
+  echo "[macOS] ERROR: $*" >&2
   exit 1
+}
+
+if [[ ! -x "$BIN_DIR/ffmpeg" ]] || [[ ! -x "$BIN_DIR/ffprobe" ]]; then
+  die "Expected executable ffmpeg and ffprobe at $BIN_DIR"
+fi
+if [[ ! -f "$ROOT_DIR/sample.mp4" ]]; then
+  die "Missing $ROOT_DIR/sample.mp4"
+fi
+if [[ ! -f "$CLIENT_DIR/presets.json" ]]; then
+  die "Missing $CLIENT_DIR/presets.json"
+fi
+if [[ ! -f "$ENTRYPOINT" ]]; then
+  die "Missing entrypoint: $ENTRYPOINT"
 fi
 
-echo "[macOS] Copying resources..."
-cp -f "$BIN_SRC_DIR/ffmpeg" "$BUILD_DIR/bin/mac/"
-cp -f "$BIN_SRC_DIR/ffprobe" "$BUILD_DIR/bin/mac/"
-chmod +x "$BUILD_DIR/bin/mac/ffmpeg" "$BUILD_DIR/bin/mac/ffprobe"
-cp -f "$ROOT_DIR/sample.mp4" "$BUILD_DIR/" || true
-cp -f "$CLIENT_DIR/presets.json" "$BUILD_DIR/" || true
+if command -v pyinstaller >/dev/null 2>&1; then
+  PYI_CMD=(pyinstaller)
+elif python3 -m PyInstaller --version >/dev/null 2>&1; then
+  PYI_CMD=(python3 -m PyInstaller)
+else
+  die "PyInstaller not found. Install it with: python3 -m pip install pyinstaller"
+fi
+
+log "Preparing output directory..."
+rm -rf "$BUILD_ROOT"
+rm -rf "$LEGACY_DIST_DIR"
+rm -f "$OUTPUT_PATH"
+rm -f "$ROOT_DIR/dist/$APP_NAME"
+rm -rf "$ROOT_DIR/build/$APP_NAME"
+mkdir -p "$PYI_DIST_DIR" "$PYI_WORK_DIR" "$PYI_SPEC_DIR"
 
-echo "[macOS] Running PyInstaller..."
+log "Running PyInstaller..."
 cd "$ROOT_DIR"
-pyinstaller \
+"${PYI_CMD[@]}" \
+  --clean \
   --onefile \
-  --name encodingdb-client-macos \
-  --paths . \
-  --add-data "$BUILD_DIR/bin/mac:bin/mac" \
-  --add-data "$BUILD_DIR/sample.mp4:." \
-  --add-data "$BUILD_DIR/presets.json:." \
-  client/_pyinstaller_entry.py
+  --name "$APP_NAME" \
+  --distpath "$PYI_DIST_DIR" \
+  --workpath "$PYI_WORK_DIR" \
+  --specpath "$PYI_SPEC_DIR" \
+  --paths "$ROOT_DIR" \
+  --add-data "$BIN_DIR/ffmpeg:bin/mac" \
+  --add-data "$BIN_DIR/ffprobe:bin/mac" \
+  --add-data "$ROOT_DIR/sample.mp4:." \
+  --add-data "$CLIENT_DIR/presets.json:." \
+  "$ENTRYPOINT"
 
-echo "[macOS] Moving artifact to $BUILD_DIR..."
-mv -f "$ROOT_DIR/dist/encodingdb-client-macos" "$BUILD_DIR/encodingdb-client-macos" 2>/dev/null || true
-mv -f "$ROOT_DIR/dist/encodingdb-client-macos"* "$BUILD_DIR/" 2>/dev/null || true
-
-echo "[macOS] Build complete: $BUILD_DIR"
+if [[ ! -f "$PYI_DIST_DIR/$APP_NAME" ]]; then
+  die "Build output not found at $PYI_DIST_DIR/$APP_NAME"
+fi
 
+log "Placing executable in repository root..."
+mv -f "$PYI_DIST_DIR/$APP_NAME" "$OUTPUT_PATH"
+chmod +x "$OUTPUT_PATH" || true
+log "Build complete: $OUTPUT_PATH"
+log "Hidden build artifacts: $BUILD_ROOT"
diff --git a/scripts/build_windows_client.ps1 b/scripts/build_windows_client.ps1
deleted file mode 100644
index 9416465..0000000
--- a/scripts/build_windows_client.ps1
+++ /dev/null
@@ -1,169 +0,0 @@
-# PowerShell script to build Windows standalone client with PyInstaller
-# Run this from Windows PowerShell or PowerShell Core
-# Requires: Windows Python with PyInstaller installed, and ffmpeg/ffprobe in client/bin/win
-
-param(
-    [switch]$Verbose,
-    [switch]$PauseOnExit
-)
-
-# Enable strict error handling
-$ErrorActionPreference = "Stop"
-
-# Get script directory and set up paths
-$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
-$RootDir = Split-Path -Parent $ScriptDir
-$ClientDir = Join-Path $RootDir "client"
-$BuildDir = Join-Path $ClientDir "dist\windows"
-$BinSrcDir = Join-Path $ClientDir "bin\win"
-$VenvScriptsDir = Join-Path $RootDir ".myenv\Scripts"
-
-# Enable verbose output if requested
-if ($Verbose) {
-    $VerbosePreference = "Continue"
-}
-
-Write-Host "[Windows] Preparing build directories..." -ForegroundColor Green
-# Remove existing build directory
-if (Test-Path $BuildDir) {
-    Remove-Item -Path $BuildDir -Recurse -Force
-}
-# Create build directory structure
-New-Item -Path $BuildDir -ItemType Directory -Force | Out-Null
-New-Item -Path (Join-Path $BuildDir "bin\win") -ItemType Directory -Force | Out-Null
-
-# Set up log file
-$LogFile = Join-Path $BuildDir "build.log"
-Write-Host "[Windows] Build log will be saved to: $LogFile" -ForegroundColor Yellow
-
-Write-Host "[Windows] Verifying ffmpeg/ffprobe binaries..." -ForegroundColor Green
-$FfmpegPath = Join-Path $BinSrcDir "ffmpeg.exe"
-$FfprobePath = Join-Path $BinSrcDir "ffprobe.exe"
-
-if (-not (Test-Path $FfmpegPath) -or -not (Test-Path $FfprobePath)) {
-    Write-Error "ERROR: Expected ffmpeg.exe and ffprobe.exe at $BinSrcDir"
-    exit 1
-}
-
-Write-Host "[Windows] Copying resources..." -ForegroundColor Green
-Copy-Item -Path $FfmpegPath -Destination (Join-Path $BuildDir "bin\win\ffmpeg.exe") -Force
-Copy-Item -Path $FfprobePath -Destination (Join-Path $BuildDir "bin\win\ffprobe.exe") -Force
-
-# Copy sample video if it exists
-$SampleVideo = Join-Path $RootDir "sample.mp4"
-if (Test-Path $SampleVideo) {
-    Copy-Item -Path $SampleVideo -Destination $BuildDir -Force
-}
-
-# Copy presets.json if it exists
-$PresetsFile = Join-Path $ClientDir "presets.json"
-if (Test-Path $PresetsFile) {
-    Copy-Item -Path $PresetsFile -Destination $BuildDir -Force
-}
-
-Write-Host "[Windows] Running PyInstaller..." -ForegroundColor Green
-Set-Location $ClientDir
-
-# Determine which Python/PyInstaller to use
-$PyInstallerCmd = $null
-
-# Check for local venv PyInstaller first
-$VenvPyInstaller = Join-Path $VenvScriptsDir "pyinstaller.exe"
-if (Test-Path $VenvPyInstaller) {
-    Write-Host "[Windows] Using local venv PyInstaller: $VenvPyInstaller" -ForegroundColor Yellow
-    $PyInstallerCmd = $VenvPyInstaller
-}
-# Check for local venv Python
-elseif (Test-Path (Join-Path $VenvScriptsDir "python.exe")) {
-    $VenvPython = Join-Path $VenvScriptsDir "python.exe"
-    Write-Host "[Windows] Using local venv Python: $VenvPython" -ForegroundColor Yellow
-    $PyInstallerCmd = @($VenvPython, "-m", "PyInstaller")
-}
-# Try Windows Python launcher
-elseif (Get-Command py -ErrorAction SilentlyContinue) {
-    Write-Host "[Windows] Using Windows Python launcher: py -3" -ForegroundColor Yellow
-    $PyInstallerCmd = @("py", "-3", "-m", "PyInstaller")
-}
-# Try py.exe
-elseif (Get-Command py.exe -ErrorAction SilentlyContinue) {
-    Write-Host "[Windows] Using Windows Python launcher: py.exe -3" -ForegroundColor Yellow
-    $PyInstallerCmd = @("py.exe", "-3", "-m", "PyInstaller")
-}
-# Try python.exe
-elseif (Get-Command python.exe -ErrorAction SilentlyContinue) {
-    Write-Host "[Windows] Using python.exe" -ForegroundColor Yellow
-    $PyInstallerCmd = @("python.exe", "-m", "PyInstaller")
-}
-# Fallback to python
-elseif (Get-Command python -ErrorAction SilentlyContinue) {
-    Write-Host "[Windows] Using python (fallback)" -ForegroundColor Yellow
-    $PyInstallerCmd = @("python", "-m", "PyInstaller")
-}
-else {
-    Write-Error "ERROR: No Python interpreter found. Please install Python or activate your virtual environment."
-    exit 1
-}
-
-# Verify PyInstaller is available
-Write-Host "[Windows] Verifying PyInstaller is available..." -ForegroundColor Green
-try {
-    if ($PyInstallerCmd -is [string]) {
-        & $PyInstallerCmd --version | Out-Null
-    } else {
-        & $PyInstallerCmd[0] $PyInstallerCmd[1..($PyInstallerCmd.Length-1)] --version | Out-Null
-    }
-} catch {
-    Write-Error "ERROR: PyInstaller is not installed for this Python interpreter."
-    Write-Error "       Install with: $($PyInstallerCmd -join ' ') -m pip install pyinstaller"
-    exit 3
-}
-
-# Run PyInstaller from project root so package imports resolve
-Write-Host "[Windows] Building executable..." -ForegroundColor Green
-Set-Location $RootDir
-$PyInstallerArgs = @(
-    "--clean",
-    "--onefile",
-    "--name", "encodingdb-client-windows",
-    "--paths", ".",
-    "--add-data", "client\bin\win\ffmpeg.exe;bin\win",
-    "--add-data", "client\bin\win\ffprobe.exe;bin\win",
-    "--add-data", "sample.mp4;.",
-    "--add-data", "client\presets.json;.",
-    "client\_pyinstaller_entry.py"
-)
-
-try {
-    if ($PyInstallerCmd -is [string]) {
-        & $PyInstallerCmd @PyInstallerArgs
-    } else {
-        & $PyInstallerCmd[0] $PyInstallerCmd[1..($PyInstallerCmd.Length-1)] @PyInstallerArgs
-    }
-} catch {
-    Write-Error "ERROR: PyInstaller failed to build the executable."
-    Write-Error $_.Exception.Message
-    exit 2
-}
-
-Write-Host "[Windows] Moving artifact to $BuildDir..." -ForegroundColor Green
-$ExePath = Join-Path $RootDir "dist\encodingdb-client-windows.exe"
-$DirPath = Join-Path $RootDir "dist\encodingdb-client-windows"
-
-if (Test-Path $ExePath) {
-    Move-Item -Path $ExePath -Destination $BuildDir -Force
-    Write-Host "[Windows] Build complete: $BuildDir" -ForegroundColor Green
-} elseif (Test-Path $DirPath) {
-    Move-Item -Path $DirPath -Destination $BuildDir -Force
-    Write-Host "[Windows] Build complete: $BuildDir" -ForegroundColor Green
-} else {
-    Write-Error "ERROR: PyInstaller did not produce encodingdb-client-windows.exe."
-    Write-Error "       Ensure Windows Python (py -3) is used and PyInstaller is installed."
-    exit 2
-}
-
-Write-Host "[Windows] Build log saved to: $LogFile" -ForegroundColor Yellow
-
-# Optional pause for double-click runs
-if ($PauseOnExit) {
-    Read-Host "Press Enter to close..."
-}
diff --git a/scripts/build_windows_client.sh b/scripts/build_windows_client.sh
old mode 100644
new mode 100755
index 6de6868..04ae307
--- a/scripts/build_windows_client.sh
+++ b/scripts/build_windows_client.sh
@@ -1,109 +1,104 @@
-
 #!/usr/bin/env bash
-set -e
-set -u
-# Enable pipefail if supported (older shells may not support it)
-set -o pipefail 2>/dev/null || true
-
-# MSYS2/Git Bash: ignore CR characters if the file has CRLF endings
-export SHELLOPTS
-set -o igncr 2>/dev/null || true
+set -euo pipefail
 
-# Build a Windows standalone client with PyInstaller.
-# Run this from Windows PowerShell/CMD or from Git Bash/WSL that can invoke Windows Python (py launcher).
-# Requires: Windows Python ("py" launcher) with PyInstaller installed, and ffmpeg/ffprobe in client/bin/win.
-
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. && pwd)"
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
 CLIENT_DIR="$ROOT_DIR/client"
-BUILD_DIR="$CLIENT_DIR/dist/windows"
-BIN_SRC_DIR="$CLIENT_DIR/bin/win"
-VENV_SCRIPTS_DIR="$ROOT_DIR/.myenv/Scripts"
+BIN_DIR="$CLIENT_DIR/bin/win"
+APP_NAME="encodingdb-client-windows"
+ENTRYPOINT="$CLIENT_DIR/_pyinstaller_entry.py"
+BUILD_ROOT="$ROOT_DIR/.build/clients/windows"
+LEGACY_DIST_DIR="$CLIENT_DIR/dist/windows"
+PYI_DIST_DIR="$BUILD_ROOT/dist"
+PYI_WORK_DIR="$BUILD_ROOT/work"
+PYI_SPEC_DIR="$BUILD_ROOT/spec"
+OUTPUT_PATH="$ROOT_DIR/$APP_NAME.exe"
 
 # Optional: set VERBOSE=1 to enable shell tracing; set PAUSE_ON_EXIT=1 to pause at end
 if [[ "${VERBOSE:-0}" == "1" ]]; then
   set -x
 fi
 
-echo "[Windows] Preparing build directories..."
-rm -rf "$BUILD_DIR"
-mkdir -p "$BUILD_DIR/bin/win"
-
-# Capture full build output to a log file for debugging even if the window closes
-LOG_FILE="$BUILD_DIR/build.log"
-: > "$LOG_FILE" || true
-# tee may not be available in all shells, but is present in Git Bash/MSYS2; ignore failure
-exec > >(tee -a "$LOG_FILE") 2>&1 || true
+log() {
+  echo "[Windows] $*"
+}
 
-echo "[Windows] Verifying ffmpeg/ffprobe binaries..."
-if [[ ! -f "$BIN_SRC_DIR/ffmpeg.exe" ]] || [[ ! -f "$BIN_SRC_DIR/ffprobe.exe" ]]; then
-  echo "ERROR: Expected ffmpeg.exe and ffprobe.exe at $BIN_SRC_DIR" >&2
+die() {
+  echo "[Windows] ERROR: $*" >&2
   exit 1
-fi
-
-echo "[Windows] Copying resources..."
-cp -f "$BIN_SRC_DIR/ffmpeg.exe" "$BUILD_DIR/bin/win/"
-cp -f "$BIN_SRC_DIR/ffprobe.exe" "$BUILD_DIR/bin/win/"
-cp -f "$ROOT_DIR/sample.mp4" "$BUILD_DIR/" || true
-cp -f "$CLIENT_DIR/presets.json" "$BUILD_DIR/" || true
+}
 
-echo "[Windows] Running PyInstaller..."
-cd "$CLIENT_DIR"
+if [[ ! -f "$BIN_DIR/ffmpeg.exe" ]] || [[ ! -f "$BIN_DIR/ffprobe.exe" ]]; then
+  die "Expected ffmpeg.exe and ffprobe.exe at $BIN_DIR"
+fi
+if [[ ! -f "$ROOT_DIR/sample.mp4" ]]; then
+  die "Missing $ROOT_DIR/sample.mp4"
+fi
+if [[ ! -f "$CLIENT_DIR/presets.json" ]]; then
+  die "Missing $CLIENT_DIR/presets.json"
+fi
+if [[ ! -f "$ENTRYPOINT" ]]; then
+  die "Missing entrypoint: $ENTRYPOINT"
+fi
 
-# Prefer local Windows venv tools if present
-if [[ -x "$VENV_SCRIPTS_DIR/pyinstaller.exe" ]]; then
-  echo "[Windows] Using local venv PyInstaller: $VENV_SCRIPTS_DIR/pyinstaller.exe"
-  PYI_CMD=("$VENV_SCRIPTS_DIR/pyinstaller.exe")
-elif [[ -x "$VENV_SCRIPTS_DIR/python.exe" ]]; then
-  echo "[Windows] Using local venv Python: $VENV_SCRIPTS_DIR/python.exe"
-  PYI_CMD=("$VENV_SCRIPTS_DIR/python.exe" -m PyInstaller)
+log "Preparing build directories..."
+rm -rf "$BUILD_ROOT"
+rm -rf "$LEGACY_DIST_DIR"
+rm -f "$OUTPUT_PATH"
+rm -f "$ROOT_DIR/dist/$APP_NAME.exe"
+rm -rf "$ROOT_DIR/build/$APP_NAME"
+mkdir -p "$PYI_DIST_DIR" "$PYI_WORK_DIR" "$PYI_SPEC_DIR"
+
+# Capture build output for troubleshooting double-click or CI runs.
+LOG_FILE="$BUILD_ROOT/build.log"
+: > "$LOG_FILE"
+exec > >(tee -a "$LOG_FILE") 2>&1
+
+PY_CMD=()
+if command -v py >/dev/null 2>&1; then
+  PY_CMD=(py -3)
+elif command -v py.exe >/dev/null 2>&1; then
+  PY_CMD=(py.exe -3)
+elif command -v python.exe >/dev/null 2>&1; then
+  PY_CMD=(python.exe)
+elif [[ "$OSTYPE" == msys* || "$OSTYPE" == cygwin* ]] && command -v python >/dev/null 2>&1; then
+  PY_CMD=(python)
 else
-  # Pick Windows Python launcher if available to ensure a native .exe is produced
-  PY_CMD=( )
-  if command -v py >/dev/null 2>&1; then
-    PY_CMD=(py -3)
-  elif command -v py.exe >/dev/null 2>&1; then
-    PY_CMD=(py.exe -3)
-  elif command -v python.exe >/dev/null 2>&1; then
-    PY_CMD=(python.exe)
-  else
-    # Fallback (may build for non-Windows if not using Windows Python!)
-    PY_CMD=(python)
-  fi
-  echo "[Windows] Using Python: ${PY_CMD[*]}"
-  # Verify PyInstaller is available in this interpreter
-  if ! "${PY_CMD[@]}" -m PyInstaller --version >/dev/null 2>&1; then
-    echo "ERROR: PyInstaller is not installed for this Python interpreter (${PY_CMD[*]})." >&2
-    echo "       Install with: ${PY_CMD[*]} -m pip install pyinstaller" >&2
-    exit 3
-  fi
-  PYI_CMD=("${PY_CMD[@]}" -m PyInstaller)
+  die "No Windows Python interpreter found. Use py/py.exe/python.exe from Windows."
+fi
+
+log "Using Python command: ${PY_CMD[*]}"
+if ! "${PY_CMD[@]}" -m PyInstaller --version >/dev/null 2>&1; then
+  die "PyInstaller is not installed for this interpreter. Install with: ${PY_CMD[*]} -m pip install pyinstaller"
 fi
 
-"${PYI_CMD[@]}" \
+log "Running PyInstaller..."
+cd "$ROOT_DIR"
+"${PY_CMD[@]}" -m PyInstaller \
   --clean \
   --onefile \
-  --name encodingdb-client-windows \
-  --add-data "bin/win/ffmpeg.exe;bin/win" \
-  --add-data "bin/win/ffprobe.exe;bin/win" \
-  --add-data "../sample.mp4;." \
-  --add-data "presets.json;." \
-  main.py
-
-echo "[Windows] Moving artifact to $BUILD_DIR..."
-if [[ -f "$CLIENT_DIR/dist/encodingdb-client-windows.exe" ]]; then
-  mv -f "$CLIENT_DIR/dist/encodingdb-client-windows.exe" "$BUILD_DIR/encodingdb-client-windows.exe"
-elif [[ -d "$CLIENT_DIR/dist/encodingdb-client-windows" ]]; then
-  mv -f "$CLIENT_DIR/dist/encodingdb-client-windows" "$BUILD_DIR/"
-else
-  echo "ERROR: PyInstaller did not produce encodingdb-client-windows.exe. Ensure Windows Python (py -3) is used and PyInstaller is installed." >&2
-  exit 2
+  --name "$APP_NAME" \
+  --distpath "$PYI_DIST_DIR" \
+  --workpath "$PYI_WORK_DIR" \
+  --specpath "$PYI_SPEC_DIR" \
+  --paths "$ROOT_DIR" \
+  --add-data "client/bin/win/ffmpeg.exe;bin/win" \
+  --add-data "client/bin/win/ffprobe.exe;bin/win" \
+  --add-data "sample.mp4;." \
+  --add-data "client/presets.json;." \
+  "$ENTRYPOINT"
+
+if [[ ! -f "$PYI_DIST_DIR/$APP_NAME.exe" ]]; then
+  die "Build output not found at $PYI_DIST_DIR/$APP_NAME.exe"
 fi
 
-echo "[Windows] Build complete: $BUILD_DIR"
-echo "[Windows] Build log saved to: $LOG_FILE"
+log "Placing executable in repository root..."
+mv -f "$PYI_DIST_DIR/$APP_NAME.exe" "$OUTPUT_PATH"
+log "Build complete: $OUTPUT_PATH"
+log "Build log saved to: $LOG_FILE"
+log "Hidden build artifacts: $BUILD_ROOT"
 
 # Optional pause for double-click runs (set PAUSE_ON_EXIT=1)
 if [[ "${PAUSE_ON_EXIT:-0}" == "1" ]]; then
   read -r -p "Press Enter to close..." _
 fi
-
diff --git a/scripts/client_test.sh b/scripts/client_test.sh
new file mode 100755
index 0000000..48fb8bb
--- /dev/null
+++ b/scripts/client_test.sh
@@ -0,0 +1,20 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
+SERVER_PORT="${SERVER_PORT:-3001}"
+LOCAL_BASE_URL="${BASE_URL:-http://127.0.0.1:${SERVER_PORT}}"
+
+cd "$ROOT_DIR"
+
+if command -v python3 >/dev/null 2>&1; then
+  exec env BACKEND_BASE_URL="$LOCAL_BASE_URL" python3 -m client --base-url "$LOCAL_BASE_URL" "$@"
+fi
+
+if command -v python >/dev/null 2>&1; then
+  exec env BACKEND_BASE_URL="$LOCAL_BASE_URL" python -m client --base-url "$LOCAL_BASE_URL" "$@"
+fi
+
+echo "[client_test] ERROR: Python not found in PATH." >&2
+exit 1
diff --git a/scripts/dev_frontend.sh b/scripts/dev_frontend.sh
deleted file mode 100755
index 3aba480..0000000
--- a/scripts/dev_frontend.sh
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/bin/sh
-
-set -e
-
-# Simple helper to run the frontend against mock data for quick UI testing.
-# Usage: scripts/dev_frontend.sh
-
-SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
-ROOT_DIR="$(dirname "$SCRIPT_DIR")"
-FRONTEND_DIR="$ROOT_DIR/frontend"
-
-echo "[dev] Starting frontend in mock-data mode..."
-echo "[dev] Tip: Unset INTERNAL_API_BASE_URL to force Next.js to use /api/query mock endpoint."
-
-cd "$FRONTEND_DIR"
-
-if [ ! -d node_modules ]; then
-  echo "[dev] Installing dependencies..."
-  npm ci
-fi
-
-PORT=${PORT:-3000}
-echo "[dev] Running next dev on http://localhost:$PORT"
-echo "[dev] Opening browser..."
-
-# Open the browser in the background (macOS/darwin)
-if command -v open >/dev/null 2>&1; then
-  open "http://localhost:$PORT" || true
-fi
-
-npm run dev -- --port "$PORT"
-
-
diff --git a/scripts/e2e.sh b/scripts/e2e.sh
deleted file mode 100755
index 137ffb6..0000000
--- a/scripts/e2e.sh
+++ /dev/null
@@ -1,111 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
-CLIENT_DIR="$ROOT_DIR/client"
-PORT="${PORT:-3001}"
-BASE_URL="http://127.0.0.1:${PORT}"
-LOCAL_TEST_LOG="$SCRIPT_DIR/.e2e_local_test.log"
-CLIENT_LOG="$SCRIPT_DIR/.e2e_client.log"
-
-NO_SUBMIT=0
-SEED_COUNT="${SEED_DUMMY_BENCHMARKS_COUNT:-480}"
-while [[ $# -gt 0 ]]; do
-  case "$1" in
-    --no-submit) NO_SUBMIT=1; shift ;;
-    -h|--help)
-      echo "Usage: $0 [--no-submit]"
-      echo "  --no-submit   Run client smoke test without submitting to API."
-      echo ""
-      echo "Env:"
-      echo "  PORT                          Backend port (default: 3001)"
-      echo "  SEED_DUMMY_BENCHMARKS_COUNT   Local dummy rows for local_test (default: 480)"
-      exit 0
-      ;;
-    *) echo "Unknown option: $1" >&2; exit 2 ;;
-  esac
-done
-
-echo "[e2e] ROOT_DIR=$ROOT_DIR"
-echo "[e2e] BASE_URL=$BASE_URL"
-
-LOCAL_TEST_PID=""
-cleanup() {
-  if [[ -n "$LOCAL_TEST_PID" ]] && kill -0 "$LOCAL_TEST_PID" >/dev/null 2>&1; then
-    echo "[e2e] Stopping local_test stack (PID $LOCAL_TEST_PID)"
-    kill "$LOCAL_TEST_PID" >/dev/null 2>&1 || true
-    wait "$LOCAL_TEST_PID" >/dev/null 2>&1 || true
-  fi
-}
-trap cleanup EXIT
-
-echo "[e2e] Starting local stack via scripts/local_test.sh"
-: > "$LOCAL_TEST_LOG"
-(
-  cd "$ROOT_DIR"
-  SEED_DUMMY_BENCHMARKS=1 \
-  SEED_DUMMY_BENCHMARKS_COUNT="$SEED_COUNT" \
-  PORT="$PORT" \
-  ./scripts/local_test.sh --no-frontend --no-client-check
-) >> "$LOCAL_TEST_LOG" 2>&1 &
-LOCAL_TEST_PID=$!
-
-echo "[e2e] Waiting for /health/ready"
-for i in {1..120}; do
-  if ! kill -0 "$LOCAL_TEST_PID" >/dev/null 2>&1; then
-    echo "[e2e] local_test.sh exited unexpectedly. Last 80 lines:" >&2
-    tail -n 80 "$LOCAL_TEST_LOG" >&2 || true
-    exit 1
-  fi
-  code="$(curl -s -o /dev/null -w '%{http_code}' "$BASE_URL/health/ready" || true)"
-  if [[ "$code" == "200" ]]; then
-    echo "[e2e] Backend is ready"
-    break
-  fi
-  if [[ "$i" -eq 120 ]]; then
-    echo "[e2e] Timed out waiting for backend readiness (last code=$code)." >&2
-    tail -n 80 "$LOCAL_TEST_LOG" >&2 || true
-    exit 1
-  fi
-  sleep 1
-done
-
-echo "[e2e] Preparing Python client venv"
-cd "$CLIENT_DIR"
-python3 -m venv .venv >/dev/null 2>&1 || true
-source .venv/bin/activate
-pip install --upgrade pip >/dev/null
-pip install -r requirements.txt >/dev/null
-
-echo "[e2e] Running automated client menu flow (single benchmark)"
-: > "$CLIENT_LOG"
-CLIENT_CMD=(python3 main.py --base-url "$BASE_URL")
-if [[ "$NO_SUBMIT" -eq 1 ]]; then
-  CLIENT_CMD+=(--no-submit)
-fi
-
-# Menu automation:
-# 1) Run Single Benchmark
-# 2) encoder: default
-# 3) CRF: default
-# 4) preset: default
-printf '1\n\n\n\n' | "${CLIENT_CMD[@]}" | tee "$CLIENT_LOG"
-
-if [[ "$NO_SUBMIT" -eq 0 ]]; then
-  if ! grep -q "Submitted Results" "$CLIENT_LOG"; then
-    echo "[e2e] Client run did not report a successful submission." >&2
-    tail -n 120 "$CLIENT_LOG" >&2 || true
-    exit 1
-  fi
-fi
-
-echo "[e2e] Verifying API query endpoint"
-code_query="$(curl -s -o /dev/null -w '%{http_code}' "$BASE_URL/query")"
-if [[ "$code_query" != "200" ]]; then
-  echo "[e2e] /query returned HTTP $code_query" >&2
-  exit 1
-fi
-curl -s "$BASE_URL/query?limit=3" | head -c 600 && echo
-
-echo "[e2e] PASS"
diff --git a/scripts/local_test.sh b/scripts/local_test.sh
index 8b7977b..4e6eb36 100755
--- a/scripts/local_test.sh
+++ b/scripts/local_test.sh
@@ -1,6 +1,5 @@
 #!/usr/bin/env bash
 # Local testing script: spin up DB, server, and frontend with verbose logging.
-# Similar to redploy.sh but for local development (no git pull, no prod compose).
 # Usage: ./scripts/local_test.sh [--no-frontend] [--no-client-check] [--keep]
 # Env: LOCAL_TEST_DATABASE defaults to benchmarks_test so migrations run against a
 #      clean DB (avoids "failed migration" state in your main benchmarks DB).
@@ -21,7 +20,9 @@ PG_USER="${POSTGRES_USER:-app}"
 PG_PASS="${POSTGRES_PASSWORD:-app}"
 # Default to a separate DB so we never touch a production/failed-migration state
 DB_NAME="${LOCAL_TEST_DATABASE:-benchmarks_test}"
-DATABASE_URL_LOCAL="postgresql://${PG_USER}:${PG_PASS}@127.0.0.1:5432/${DB_NAME}?schema=public"
+PG_PORT="${POSTGRES_PORT:-55432}"
+export POSTGRES_PORT="$PG_PORT"
+DATABASE_URL_LOCAL="postgresql://${PG_USER}:${PG_PASS}@127.0.0.1:${PG_PORT}/${DB_NAME}?schema=public"
 SEED_DUMMY_BENCHMARKS="${SEED_DUMMY_BENCHMARKS:-1}"
 SEED_DUMMY_BENCHMARKS_COUNT="${SEED_DUMMY_BENCHMARKS_COUNT:-480}"
 
@@ -42,6 +43,7 @@ while [[ $# -gt 0 ]]; do
       echo ""
       echo "Env: LOCAL_TEST_DATABASE  Database name (default: benchmarks_test). Use a separate"
       echo "     DB so migrations always run clean. Set to 'benchmarks' to use the main DB."
+      echo "     POSTGRES_PORT               Host port for Postgres (default: 55432)."
       echo "     SEED_DUMMY_BENCHMARKS       Seed synthetic benchmark rows after migration"
       echo "                                 (default: 1 for local test only)."
       echo "     SEED_DUMMY_BENCHMARKS_COUNT Number of synthetic rows to insert (default: 480)."
@@ -87,7 +89,7 @@ cd "$ROOT_DIR"
 log "Repo root: $ROOT_DIR"
 log "Logs: server=$SERVER_LOG frontend=$FRONTEND_LOG"
 
-for cmd in docker node npm; do
+for cmd in docker node npm curl; do
   command -v "$cmd" >/dev/null 2>&1 || die "Missing required command: $cmd"
 done
 
@@ -247,7 +249,7 @@ log "  Backend:  http://127.0.0.1:$SERVER_PORT  (logs: $SERVER_LOG)"
 if [[ $NO_FRONTEND -eq 0 ]]; then
   log "  Frontend: http://127.0.0.1:$FRONTEND_PORT (logs: $FRONTEND_LOG)"
 fi
-log "  DB:       postgresql://${PG_USER}:****@127.0.0.1:5432/${DB_NAME}"
+log "  DB:       postgresql://${PG_USER}:****@127.0.0.1:${PG_PORT}/${DB_NAME}"
 log "Press Ctrl+C to stop server and frontend."
 log "=========================================="
 wait $SERVER_PID 2>/dev/null || true
diff --git a/scripts/manage_keys.sh b/scripts/manage_keys.sh
deleted file mode 100755
index c179fdf..0000000
--- a/scripts/manage_keys.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-cat >&2 <<'EOF'
-This script is intentionally disabled.
-
-Reason:
-- The current backend does not expose /admin/api-keys endpoints.
-- Keeping a "working" key-management script would imply production controls that do not exist.
-
-Action:
-- Use ingest mode + rate limits currently implemented by the backend.
-- Re-enable this script only after admin key APIs are implemented server-side.
-EOF
-
-exit 1
diff --git a/scripts/redploy.sh b/scripts/redploy.sh
deleted file mode 100755
index b900b7c..0000000
--- a/scripts/redploy.sh
+++ /dev/null
@@ -1,129 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-cd ~/Encoding_Database
-
-# --- Helpers ---
-have_cmd() { command -v "$1" >/dev/null 2>&1; }
-get_val() {
-  # get_val FILE VAR_NAME
-  # Grep last clean assignment of VAR=... ignoring merge markers
-  local file="$1" var="$2"
-  if [ -f "$file" ]; then
-    grep -E "^${var}=" "$file" | grep -v '<<<<<<<\|=======\|>>>>>>>' | tail -n1 | sed -E "s/^${var}=//"
-  fi
-}
-
-# --- Ensure env files are ignored and not tracked ---
-ensure_gitignore() {
-  local gi=".gitignore"
-  touch "$gi"
-  if ! grep -q '^\.env$' "$gi"; then echo ".env" >> "$gi"; fi
-  if ! grep -q '^server/\.env$' "$gi"; then echo "server/.env" >> "$gi"; fi
-  if ! grep -q '^*.bak$' "$gi"; then echo "*.bak" >> "$gi"; fi
-  git add "$gi" >/dev/null 2>&1 || true
-  git commit -m "chore: ignore env files on deploy host" >/dev/null 2>&1 || true
-}
-
-untrack_env_files() {
-  git rm --cached .env server/.env >/dev/null 2>&1 || true
-}
-
-# --- Abort any in-progress merge/rebase cleanly ---
-git merge --abort >/dev/null 2>&1 || true
-git rebase --abort >/dev/null 2>&1 || true
-
-# --- Prepare/repair .env before pulling ---
-ensure_gitignore
-untrack_env_files
-
-# --- Pull latest code safely ---
-# Allow overrides via env: REMOTE=origin BRANCH=main ./scripts/redploy.sh
-REMOTE_REF="${REMOTE:-origin}"
-BRANCH_REF="${BRANCH:-main}"
-OLD_HEAD=$(git rev-parse --short HEAD 2>/dev/null || echo "none")
-git fetch --all --prune
-git fetch "$REMOTE_REF" "$BRANCH_REF" || true
-REMOTE_URL=$(git remote get-url "$REMOTE_REF" 2>/dev/null || echo "unknown")
-git reset --hard "$REMOTE_REF/$BRANCH_REF"
-NEW_HEAD=$(git rev-parse --short HEAD 2>/dev/null || echo "unknown")
-echo "Source: $REMOTE_REF/$BRANCH_REF ($REMOTE_URL)"
-echo "Updated: $OLD_HEAD -> $NEW_HEAD"
-echo "Recent commits on $REMOTE_REF/$BRANCH_REF:"
-git log --oneline -n 3 "$REMOTE_REF/$BRANCH_REF" || true
-
-# --- Regenerate .env with preserved values (AFTER pulling latest scripts) ---
-DEFAULT_DOMAIN="encodingdb.platinumlabs.dev"
-POSTGRES_PASSWORD="$(get_val .env POSTGRES_PASSWORD || get_val .env.bak POSTGRES_PASSWORD || true)"
-INGEST_HMAC_SECRET="$(get_val .env INGEST_HMAC_SECRET || get_val .env.bak INGEST_HMAC_SECRET || true)"
-CORS_ORIGIN="$(get_val .env CORS_ORIGIN || get_val .env.bak CORS_ORIGIN || echo "https://${DEFAULT_DOMAIN}")"
-POSTGRES_USER="$(get_val .env POSTGRES_USER || echo "app")"
-POSTGRES_DB="$(get_val .env POSTGRES_DB || echo "benchmarks")"
-PORT_VAL="$(get_val .env PORT || echo "3001")"
-NEXT_PUBLIC_API_BASE_URL="$(get_val .env NEXT_PUBLIC_API_BASE_URL || echo "https://${DEFAULT_DOMAIN}")"
-
-# If .env contains merge markers, back it up before regenerating
-if grep -q '<<<<<<<\|=======\|>>>>>>>' .env 2>/dev/null; then
-  cp .env .env.autofix.bak || true
-fi
-
-# Derive domain from CORS_ORIGIN when available; fall back to default domain
-DOMAIN_CAND="${CORS_ORIGIN#https://}"
-DOMAIN_CAND="${DOMAIN_CAND#http://}"
-DOMAIN_CAND="${DOMAIN_CAND%%/*}"
-if [ -z "$DOMAIN_CAND" ] || [ "$DOMAIN_CAND" = "" ]; then DOMAIN_CAND="$DEFAULT_DOMAIN"; fi
-
-./scripts/setup_env.sh \
-  --domain "$DOMAIN_CAND" \
-  --cors-origins "$CORS_ORIGIN" \
-  --postgres-user "${POSTGRES_USER:-app}" \
-  ${POSTGRES_PASSWORD:+--postgres-password "$POSTGRES_PASSWORD"} \
-  --postgres-db "${POSTGRES_DB:-benchmarks}" \
-  ${INGEST_HMAC_SECRET:+--ingest-secret "$INGEST_HMAC_SECRET"} \
-  --port "${PORT_VAL:-3001}" \
-  --public-api-base "${NEXT_PUBLIC_API_BASE_URL:-https://${DEFAULT_DOMAIN}}"
-
-# Make sure env files are not tracked
-untrack_env_files
-
-# --- Ensure DB user password matches .env (handles existing volumes) ---
-echo "Ensuring database is up..."
-docker compose -f docker-compose.prod.yml up -d db
-# Wait for Postgres to accept connections
-DB_READY=0
-for i in {1..30}; do
-  docker compose -f docker-compose.prod.yml exec -T db pg_isready -U "${POSTGRES_USER:-app}" -d "${POSTGRES_DB:-benchmarks}" >/dev/null 2>&1 && DB_READY=1 && break || true
-  sleep 2
-done
-if [ "$DB_READY" -ne 1 ]; then
-  echo "Postgres not ready after timeout; continuing anyway..."
-fi
-# Align user password inside DB to match .env (safe if already aligned)
-docker compose -f docker-compose.prod.yml exec -T db sh -lc "psql -U postgres -d postgres -v ON_ERROR_STOP=1 -c \"ALTER USER \\\"${POSTGRES_USER:-app}\\\" WITH PASSWORD '${POSTGRES_PASSWORD}';\"" >/dev/null 2>&1 || true
-
-# --- Build & deploy ---
-docker compose -f docker-compose.prod.yml build --no-cache server frontend
-docker compose -f docker-compose.prod.yml up -d --no-deps --force-recreate server frontend
-
-# Apply Prisma migrations (fail fast if schema update cannot be applied)
-docker compose -f docker-compose.prod.yml exec server npx prisma migrate deploy
-
-# Wait for backend readiness via nginx proxy
-echo "Waiting for backend readiness at http://localhost/health/ready ..."
-READY=0
-for i in {1..30}; do
-  code=$(curl -s -o /dev/null -w "%{http_code}" http://localhost/health/ready || true)
-  if [ "$code" = "200" ]; then READY=1; break; fi
-  sleep 2
-done
-if [ "$READY" -ne 1 ]; then
-  echo "Edge not ready, checking directly inside server container..."
-  docker compose -f docker-compose.prod.yml exec -T server sh -lc "wget -qO- http://localhost:3001/health/ready >/dev/null && echo 'Server responded OK'" || echo "Server not ready yet"
-fi
-
-# Optionally check frontend
-echo "Checking frontend at http://localhost ..."
-curl -s -o /dev/null -w "Frontend HTTP %{http_code}\n" http://localhost || true
-
-# Tail recent logs
-docker compose -f docker-compose.prod.yml logs --tail=80 server
diff --git a/scripts/setup_env.sh b/scripts/setup_env.sh
deleted file mode 100755
index 9b3b9bc..0000000
--- a/scripts/setup_env.sh
+++ /dev/null
@@ -1,165 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Simple environment setup script for Encoding Database
-# - Writes ./.env (used by docker-compose.prod.yml and server)
-# - Mirrors to server/.env for local runs
-# - Accepts flags to override defaults; otherwise generates sensible defaults
-#
-# Usage examples:
-#   scripts/setup_env.sh                           # use defaults + random secrets
-#   scripts/setup_env.sh --domain example.com      # set domain and derive CORS
-#   scripts/setup_env.sh --ingest-secret abc123    # set specific HMAC secret
-#   scripts/setup_env.sh --postgres-password s3cr3t --cors-origins https://a.com,https://b.com
-
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. && pwd)"
-
-color() { printf "\033[%sm%s\033[0m" "$1" "$2"; }
-green() { color 32 "$1"; }
-yellow() { color 33 "$1"; }
-red() { color 31 "$1"; }
-
-have_cmd() { command -v "$1" >/dev/null 2>&1; }
-
-rand_hex() {
-  local bytes="${1:-32}"
-  if have_cmd openssl; then
-    openssl rand -hex "$bytes"
-  elif have_cmd hexdump; then
-    hexdump -vn "$bytes" -e '"%02x"' /dev/urandom
-  else
-    # Very weak fallback; should not occur on typical systems
-    date +%s%N | shasum | awk '{print $1}'
-  fi
-}
-
-# Defaults
-DOMAIN="encodingdb.platinumlabs.dev"
-POSTGRES_USER="app"
-POSTGRES_PASSWORD=""
-POSTGRES_DB="benchmarks"
-PORT="3001"
-INGEST_HMAC_SECRET=""
-CORS_ORIGINS=""
-BODY_LIMIT="1mb"
-RATE_LIMIT_WINDOW_MS="60000"
-RATE_LIMIT_MAX="300"
-SUBMIT_RATE_WINDOW_MS="60000"
-SUBMIT_RATE_MAX="30"
-NEXT_PUBLIC_API_BASE_URL=""
-
-print_help() {
-  cat <<'EOF'
-Usage: setup_env.sh [options]
-
-Options:
-  --domain DOMAIN                 Public site domain (default: encodingdb.platinumlabs.dev)
-  --postgres-user USER            Postgres username (default: app)
-  --postgres-password PASS        Postgres password (default: random)
-  --postgres-db NAME              Postgres database name (default: benchmarks)
-  --port PORT                     Backend port (default: 3001)
-  --ingest-secret HEX             HMAC secret for /submit (default: random 32 bytes hex)
-  --cors-origins CSV              Comma-separated allowlist for CORS_ORIGIN (default: https://<domain>)
-  --body-limit SIZE               express.json size limit (default: 1mb)
-  --rate-window-ms MS             Global rate limit window (default: 60000)
-  --rate-max N                    Global rate limit max (default: 300)
-  --submit-window-ms MS           /submit rate limit window (default: 60000)
-  --submit-max N                  /submit rate limit max (default: 30)
-  --public-api-base URL           NEXT_PUBLIC_API_BASE_URL (default: https://<domain>)
-  -h, --help                      Show this help
-
-This script writes .env at repo root and mirrors it to server/.env.
-EOF
-}
-
-# Parse args
-while [[ $# -gt 0 ]]; do
-  case "$1" in
-    --domain) DOMAIN="$2"; shift 2 ;;
-    --postgres-user) POSTGRES_USER="$2"; shift 2 ;;
-    --postgres-password) POSTGRES_PASSWORD="$2"; shift 2 ;;
-    --postgres-db) POSTGRES_DB="$2"; shift 2 ;;
-    --port) PORT="$2"; shift 2 ;;
-    --ingest-secret) INGEST_HMAC_SECRET="$2"; shift 2 ;;
-    --cors-origins) CORS_ORIGINS="$2"; shift 2 ;;
-    --body-limit) BODY_LIMIT="$2"; shift 2 ;;
-    --rate-window-ms) RATE_LIMIT_WINDOW_MS="$2"; shift 2 ;;
-    --rate-max) RATE_LIMIT_MAX="$2"; shift 2 ;;
-    --submit-window-ms) SUBMIT_RATE_WINDOW_MS="$2"; shift 2 ;;
-    --submit-max) SUBMIT_RATE_MAX="$2"; shift 2 ;;
-    --public-api-base) NEXT_PUBLIC_API_BASE_URL="$2"; shift 2 ;;
-    --api-key-header|--per-key-per-minute|--per-key-per-day|--disk-min-free-gb|--disk-path|--admin-token)
-      echo "$(yellow "Warning: $1 is deprecated and ignored (feature not implemented in backend).")" >&2
-      shift 2
-      ;;
-    -h|--help) print_help; exit 0 ;;
-    *) echo "Unknown arg: $1" >&2; print_help; exit 2 ;;
-  esac
-done
-
-# Sanitize/derive DOMAIN and public URLs
-DOMAIN="$(echo "${DOMAIN}" | sed -E 's#^https?://##; s#/+$##')"
-if [[ -z "$DOMAIN" ]]; then DOMAIN="encodingdb.platinumlabs.dev"; fi
-
-# Fill defaults
-if [[ -z "$CORS_ORIGINS" || "$CORS_ORIGINS" = "https://" || "$CORS_ORIGINS" = "http://" ]]; then CORS_ORIGINS="https://$DOMAIN"; fi
-if [[ -z "$NEXT_PUBLIC_API_BASE_URL" || "$NEXT_PUBLIC_API_BASE_URL" = "https://" || "$NEXT_PUBLIC_API_BASE_URL" = "http://" ]]; then NEXT_PUBLIC_API_BASE_URL="https://$DOMAIN"; fi
-if [[ -z "$POSTGRES_PASSWORD" ]]; then POSTGRES_PASSWORD="$(rand_hex 24)"; fi
-if [[ -z "$INGEST_HMAC_SECRET" ]]; then INGEST_HMAC_SECRET="$(rand_hex 32)"; fi
-
-DATABASE_URL="postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}?schema=public"
-
-write_env() {
-  local path="$1"
-  cat >"$path" <<EOF
-# Generated by scripts/setup_env.sh on $(date -u +%Y-%m-%dT%H:%M:%SZ)
-# Safe to commit? NO. This file may contain secrets.
-
-# Postgres
-POSTGRES_USER=${POSTGRES_USER}
-POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
-POSTGRES_DB=${POSTGRES_DB}
-DATABASE_URL=${DATABASE_URL}
-
-# Server
-PORT=${PORT}
-CORS_ORIGIN=${CORS_ORIGINS}
-BODY_LIMIT=${BODY_LIMIT}
-RATE_LIMIT_WINDOW_MS=${RATE_LIMIT_WINDOW_MS}
-RATE_LIMIT_MAX=${RATE_LIMIT_MAX}
-SUBMIT_RATE_WINDOW_MS=${SUBMIT_RATE_WINDOW_MS}
-SUBMIT_RATE_MAX=${SUBMIT_RATE_MAX}
-INGEST_HMAC_SECRET=${INGEST_HMAC_SECRET}
-
-# Frontend (public)
-NEXT_PUBLIC_API_BASE_URL=${NEXT_PUBLIC_API_BASE_URL}
-EOF
-}
-
-ROOT_ENV="$ROOT_DIR/.env"
-SERVER_ENV="$ROOT_DIR/server/.env"
-
-write_env "$ROOT_ENV"
-mkdir -p "$ROOT_DIR/server"
-cp "$ROOT_ENV" "$SERVER_ENV"
-
-chmod 600 "$ROOT_ENV" || true
-chmod 600 "$SERVER_ENV" || true
-
-echo "$(green "✔") Wrote $(yellow "$ROOT_ENV") and $(yellow "$SERVER_ENV")"
-echo "Domain:          $DOMAIN"
-echo "CORS_ORIGIN:     $CORS_ORIGINS"
-echo "Public API base: $NEXT_PUBLIC_API_BASE_URL"
-echo "Postgres user:   $POSTGRES_USER"
-echo "Postgres db:     $POSTGRES_DB"
-echo "Server port:     $PORT"
-echo "Submit limits:   ${SUBMIT_RATE_MAX} per ${SUBMIT_RATE_WINDOW_MS}ms"
-echo "Global limits:   ${RATE_LIMIT_MAX} per ${RATE_LIMIT_WINDOW_MS}ms"
-echo "Body limit:      $BODY_LIMIT"
-
-echo
-echo "Next steps:"
-echo "  1) Ensure Nginx Proxy Manager host uses HTTPS and the Advanced config from nginx/NPM_ADVANCED_CONFIG.md"
-echo "  2) Deploy with: docker compose -f docker-compose.prod.yml up -d --build"
-echo "  3) Verify /health/ready at your domain"
-
diff --git a/scripts/test.sh b/scripts/test.sh
new file mode 100755
index 0000000..b75b0be
--- /dev/null
+++ b/scripts/test.sh
@@ -0,0 +1,495 @@
+#!/usr/bin/env bash
+set -uo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+if [[ -d "$SCRIPT_DIR/client" && -d "$SCRIPT_DIR/server" && -d "$SCRIPT_DIR/frontend" ]]; then
+  ROOT_DIR="$SCRIPT_DIR"
+else
+  ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
+fi
+COMPOSE_FILE="${COMPOSE_FILE:-docker-compose.yml}"
+COMPOSE_PROJECT_NAME="${COMPOSE_PROJECT_NAME:-encodingdb_test}"
+export COMPOSE_PROJECT_NAME
+
+SERVER_PORT="${SERVER_PORT:-3001}"
+FRONTEND_PORT="${FRONTEND_PORT:-3100}"
+PG_USER="${POSTGRES_USER:-app}"
+PG_PASS="${POSTGRES_PASSWORD:-app}"
+DB_NAME="${LOCAL_TEST_DATABASE:-benchmarks_test}"
+PG_PORT="${POSTGRES_PORT:-55432}"
+export POSTGRES_PORT="$PG_PORT"
+DATABASE_URL_LOCAL="postgresql://${PG_USER}:${PG_PASS}@127.0.0.1:${PG_PORT}/${DB_NAME}?schema=public"
+KEEP_DB=0
+
+REPORT_BASE="${REPORT_BASE:-$ROOT_DIR/.test-reports}"
+RUN_ID="$(date +%Y%m%d-%H%M%S)"
+RUN_DIR="$REPORT_BASE/$RUN_ID"
+
+SERVER_PID=""
+FRONTEND_PID=""
+OVERALL=0 # 0=pass, 1=warn, 2=fail
+LAST_STATUS=""
+
+declare -a STEP_NAMES=()
+declare -a STEP_STATUS=()
+declare -a STEP_LOGS=()
+declare -a STEP_NOTES=()
+
+usage() {
+  cat <<EOF
+Usage: ./test.sh [--keep-db] [--help]
+
+Options:
+  --keep-db   Keep database container running after tests.
+  --help      Show this help text.
+
+Environment overrides:
+  SERVER_PORT, FRONTEND_PORT, LOCAL_TEST_DATABASE, POSTGRES_PORT, COMPOSE_FILE, REPORT_BASE
+EOF
+}
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --keep-db) KEEP_DB=1; shift ;;
+    --help|-h) usage; exit 0 ;;
+    *) echo "[test] Unknown option: $1" >&2; usage >&2; exit 2 ;;
+  esac
+done
+
+mkdir -p "$RUN_DIR"
+
+slugify() {
+  echo "$1" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/^-*//; s/-*$//'
+}
+
+update_overall() {
+  local status="$1"
+  if [[ "$status" == "FAIL" || "$status" == "BLOCKED" ]]; then
+    OVERALL=2
+    return
+  fi
+  if [[ "$status" == "WARN" && "$OVERALL" -lt 2 ]]; then
+    OVERALL=1
+  fi
+}
+
+record_step() {
+  local name="$1"
+  local status="$2"
+  local log="$3"
+  local note="$4"
+  STEP_NAMES+=("$name")
+  STEP_STATUS+=("$status")
+  STEP_LOGS+=("$log")
+  STEP_NOTES+=("$note")
+  LAST_STATUS="$status"
+  update_overall "$status"
+}
+
+issue_scan() {
+  local input_log="$1"
+  local output_log="$2"
+  local raw_log="${output_log}.raw"
+  local scan_log="${output_log}.scan"
+  : > "$output_log"
+  : > "$raw_log"
+  : > "$scan_log"
+
+  # Scan only command output; exclude our injected command line header.
+  if command -v rg >/dev/null 2>&1; then
+    rg -n -v -e '^\[command\]' "$input_log" > "$scan_log" || true
+  else
+    grep -Env '^\[command\]' "$input_log" > "$scan_log" || true
+  fi
+
+  local pattern='(^|[^[:alnum:]_])(warn|warning|deprecated|error|failed|failure|fail|vulnerability|vulnerabilities)([^[:alnum:]_]|$)'
+  if command -v rg >/dev/null 2>&1; then
+    rg -n -i -e "$pattern" "$scan_log" > "$raw_log" || true
+  else
+    grep -Ein "$pattern" "$scan_log" > "$raw_log" || true
+  fi
+
+  local ignore='0 warnings?|no warnings?|0 errors?|no errors?|without warnings?|without errors?|found 0 vulnerabilities|fail[[:space:]]*[:=]?[[:space:]]*0([^0-9]|$)|failed[[:space:]]*[:=]?[[:space:]]*0([^0-9]|$)|failures?[[:space:]]*[:=]?[[:space:]]*0([^0-9]|$)'
+  if command -v rg >/dev/null 2>&1; then
+    rg -n -v -i -e "$ignore" "$raw_log" > "$output_log" || true
+  else
+    grep -Eiv "$ignore" "$raw_log" > "$output_log" || true
+  fi
+}
+
+mark_blocked() {
+  local name="$1"
+  local reason="$2"
+  local idx="$(( ${#STEP_NAMES[@]} + 1 ))"
+  local slug
+  slug="$(slugify "$name")"
+  local log="$RUN_DIR/$(printf '%02d' "$idx")-${slug}.log"
+  {
+    echo "BLOCKED: $reason"
+  } > "$log"
+  record_step "$name" "BLOCKED" "$log" "$reason"
+  printf '[%02d] BLOCKED: %s (%s)\n' "$idx" "$name" "$reason"
+}
+
+run_step() {
+  local name="$1"
+  local command="$2"
+
+  local idx="$(( ${#STEP_NAMES[@]} + 1 ))"
+  local slug
+  slug="$(slugify "$name")"
+  local log="$RUN_DIR/$(printf '%02d' "$idx")-${slug}.log"
+  local issues="${log}.issues"
+
+  printf '[%02d] RUN: %s\n' "$idx" "$name"
+  {
+    echo "[command] $command"
+    echo
+  } > "$log"
+
+  local rc=0
+  bash -lc "cd \"$ROOT_DIR\" && $command" >> "$log" 2>&1 || rc=$?
+  issue_scan "$log" "$issues"
+
+  local note=""
+  if [[ "$rc" -ne 0 ]]; then
+    note="exit=$rc"
+    if [[ -s "$issues" ]]; then
+      note="$note; issue=$(head -n 1 "$issues" | tr -d '\r' | cut -c1-180)"
+    fi
+    record_step "$name" "FAIL" "$log" "$note"
+    printf '[%02d] FAIL: %s (%s)\n' "$idx" "$name" "$note"
+    return "$rc"
+  fi
+
+  if [[ -s "$issues" ]]; then
+    note="warnings detected; first=$(head -n 1 "$issues" | tr -d '\r' | cut -c1-180)"
+    record_step "$name" "WARN" "$log" "$note"
+    printf '[%02d] WARN: %s (%s)\n' "$idx" "$name" "$note"
+    return 0
+  fi
+
+  record_step "$name" "PASS" "$log" "ok"
+  printf '[%02d] PASS: %s\n' "$idx" "$name"
+  return 0
+}
+
+start_server() {
+  local idx="$(( ${#STEP_NAMES[@]} + 1 ))"
+  local name="Server start and readiness"
+  local slug
+  slug="$(slugify "$name")"
+  local log="$RUN_DIR/$(printf '%02d' "$idx")-${slug}.log"
+  local issues="${log}.issues"
+  local ready_url="http://127.0.0.1:${SERVER_PORT}/health/ready"
+
+  printf '[%02d] RUN: %s\n' "$idx" "$name"
+  : > "$log"
+  if command -v lsof >/dev/null 2>&1; then
+    local listeners
+    listeners="$(lsof -nP -iTCP:"${SERVER_PORT}" -sTCP:LISTEN | awk 'NR>1 {print $1 "/" $2}' | paste -sd, -)"
+    if [[ -n "$listeners" ]]; then
+      echo "Port ${SERVER_PORT} already in use by: ${listeners}" >> "$log"
+      record_step "$name" "FAIL" "$log" "port ${SERVER_PORT} already in use (${listeners})"
+      printf '[%02d] FAIL: %s (port %s in use)\n' "$idx" "$name" "$SERVER_PORT"
+      return 1
+    fi
+  fi
+  (
+    cd "$ROOT_DIR/server"
+    export PORT="$SERVER_PORT" DATABASE_URL="$DATABASE_URL_LOCAL" NODE_ENV=development
+    exec node dist/index.js
+  ) >> "$log" 2>&1 &
+  SERVER_PID=$!
+
+  local rc=0
+  for _ in $(seq 1 50); do
+    if ! kill -0 "$SERVER_PID" 2>/dev/null; then
+      rc=1
+      break
+    fi
+    code="$(curl -s -o /dev/null -w '%{http_code}' "$ready_url" 2>/dev/null || true)"
+    if [[ "$code" == "200" ]]; then
+      rc=0
+      break
+    fi
+    sleep 1
+  done
+
+  if [[ "$rc" -eq 0 ]] && ! kill -0 "$SERVER_PID" 2>/dev/null; then
+    rc=1
+    echo "Server process exited after readiness probe." >> "$log"
+  fi
+
+  issue_scan "$log" "$issues"
+  if [[ "$rc" -ne 0 ]]; then
+    record_step "$name" "FAIL" "$log" "server did not become ready"
+    printf '[%02d] FAIL: %s\n' "$idx" "$name"
+    return 1
+  fi
+
+  if [[ -s "$issues" ]]; then
+    local note="warnings detected; first=$(head -n 1 "$issues" | tr -d '\r' | cut -c1-180)"
+    record_step "$name" "WARN" "$log" "$note"
+    printf '[%02d] WARN: %s (%s)\n' "$idx" "$name" "$note"
+    return 0
+  fi
+
+  record_step "$name" "PASS" "$log" "ok"
+  printf '[%02d] PASS: %s\n' "$idx" "$name"
+  return 0
+}
+
+start_frontend() {
+  local idx="$(( ${#STEP_NAMES[@]} + 1 ))"
+  local name="Frontend start and readiness"
+  local slug
+  slug="$(slugify "$name")"
+  local log="$RUN_DIR/$(printf '%02d' "$idx")-${slug}.log"
+  local issues="${log}.issues"
+  local frontend_url="http://127.0.0.1:${FRONTEND_PORT}/"
+
+  printf '[%02d] RUN: %s\n' "$idx" "$name"
+  : > "$log"
+  if command -v lsof >/dev/null 2>&1; then
+    local listeners
+    listeners="$(lsof -nP -iTCP:"${FRONTEND_PORT}" -sTCP:LISTEN | awk 'NR>1 {print $1 "/" $2}' | paste -sd, -)"
+    if [[ -n "$listeners" ]]; then
+      echo "Port ${FRONTEND_PORT} already in use by: ${listeners}" >> "$log"
+      record_step "$name" "FAIL" "$log" "port ${FRONTEND_PORT} already in use (${listeners})"
+      printf '[%02d] FAIL: %s (port %s in use)\n' "$idx" "$name" "$FRONTEND_PORT"
+      return 1
+    fi
+  fi
+  (
+    cd "$ROOT_DIR/frontend"
+    export PORT="$FRONTEND_PORT"
+    export INTERNAL_API_BASE_URL="http://127.0.0.1:${SERVER_PORT}"
+    export NEXT_PUBLIC_API_BASE_URL="http://127.0.0.1:${SERVER_PORT}"
+    exec npm run start
+  ) >> "$log" 2>&1 &
+  FRONTEND_PID=$!
+
+  local rc=0
+  for _ in $(seq 1 50); do
+    if ! kill -0 "$FRONTEND_PID" 2>/dev/null; then
+      rc=1
+      break
+    fi
+    code="$(curl -s -o /dev/null -w '%{http_code}' "$frontend_url" 2>/dev/null || true)"
+    if [[ "$code" == "200" || "$code" == "304" ]]; then
+      rc=0
+      break
+    fi
+    sleep 1
+  done
+
+  if [[ "$rc" -eq 0 ]] && ! kill -0 "$FRONTEND_PID" 2>/dev/null; then
+    rc=1
+    echo "Frontend process exited after readiness probe." >> "$log"
+  fi
+
+  issue_scan "$log" "$issues"
+  if [[ "$rc" -ne 0 ]]; then
+    record_step "$name" "FAIL" "$log" "frontend did not become ready"
+    printf '[%02d] FAIL: %s\n' "$idx" "$name"
+    return 1
+  fi
+
+  if [[ -s "$issues" ]]; then
+    local note="warnings detected; first=$(head -n 1 "$issues" | tr -d '\r' | cut -c1-180)"
+    record_step "$name" "WARN" "$log" "$note"
+    printf '[%02d] WARN: %s (%s)\n' "$idx" "$name" "$note"
+    return 0
+  fi
+
+  record_step "$name" "PASS" "$log" "ok"
+  printf '[%02d] PASS: %s\n' "$idx" "$name"
+  return 0
+}
+
+run_api_submit_accepts_sample() {
+  local idx="$(( ${#STEP_NAMES[@]} + 1 ))"
+  local name="API: submit accepts sample payload"
+  local slug
+  slug="$(slugify "$name")"
+  local log="$RUN_DIR/$(printf '%02d' "$idx")-${slug}.log"
+
+  local base_url="http://127.0.0.1:${SERVER_PORT}/submit"
+  local modern_payload='{"cpuModel":"Test CPU Model","gpuModel":"","ramGB":16,"os":"macOS","codec":"libx264","preset":"medium","crf":24,"contentClass":"mixed","resolution":"1080p","passes":1,"fps":42.0,"vmaf":92.0,"ssim":0.97,"psnr":39.2,"fileSizeBytes":12345678,"notes":"local test submission","ffmpegVersion":"test","encoderName":"libx264","clientVersion":"test","inputHash":"53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8","runMs":10000}'
+  local legacy_payload='{"cpuModel":"Test CPU Model","gpuModel":"","ramGB":16,"os":"macOS","codec":"libx264","preset":"medium","crf":24,"fps":42.0,"vmaf":92.0,"ssim":0.97,"psnr":39.2,"fileSizeBytes":12345678,"notes":"local test submission","ffmpegVersion":"test","encoderName":"libx264","clientVersion":"test","inputHash":"53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8","runMs":10000}'
+
+  printf '[%02d] RUN: %s\n' "$idx" "$name"
+  : > "$log"
+  echo "[command] POST $base_url (modern payload first, legacy fallback on schema mismatch)" >> "$log"
+
+  local resp body code
+  resp="$(curl -sS -w $'\n__HTTP_CODE:%{http_code}' -X POST "$base_url" -H "Content-Type: application/json" -d "$modern_payload")"
+  body="${resp%__HTTP_CODE:*}"
+  code="${resp##*__HTTP_CODE:}"
+  {
+    echo "--- modern status: $code ---"
+    echo "$body"
+  } >> "$log"
+
+  if [[ "$code" == "200" || "$code" == "201" ]]; then
+    record_step "$name" "PASS" "$log" "ok"
+    printf '[%02d] PASS: %s\n' "$idx" "$name"
+    return 0
+  fi
+
+  if [[ "$code" == "400" && "$body" == *"Unrecognized keys"* ]]; then
+    resp="$(curl -sS -w $'\n__HTTP_CODE:%{http_code}' -X POST "$base_url" -H "Content-Type: application/json" -d "$legacy_payload")"
+    body="${resp%__HTTP_CODE:*}"
+    code="${resp##*__HTTP_CODE:}"
+    {
+      echo "--- legacy fallback status: $code ---"
+      echo "$body"
+    } >> "$log"
+    if [[ "$code" == "200" || "$code" == "201" ]]; then
+      record_step "$name" "WARN" "$log" "legacy schema fallback used (modern fields rejected)"
+      printf '[%02d] WARN: %s (legacy schema fallback used)\n' "$idx" "$name"
+      return 0
+    fi
+  fi
+
+  record_step "$name" "FAIL" "$log" "submit rejected (status=$code)"
+  printf '[%02d] FAIL: %s (status=%s)\n' "$idx" "$name" "$code"
+  return 1
+}
+
+cleanup() {
+  if [[ -n "$FRONTEND_PID" ]] && kill -0 "$FRONTEND_PID" 2>/dev/null; then
+    kill "$FRONTEND_PID" 2>/dev/null || true
+    wait "$FRONTEND_PID" 2>/dev/null || true
+  fi
+  if [[ -n "$SERVER_PID" ]] && kill -0 "$SERVER_PID" 2>/dev/null; then
+    kill "$SERVER_PID" 2>/dev/null || true
+    wait "$SERVER_PID" 2>/dev/null || true
+  fi
+  if [[ "$KEEP_DB" -ne 1 ]]; then
+    (cd "$ROOT_DIR" && docker compose -f "$COMPOSE_FILE" down >/dev/null 2>&1) || true
+  fi
+}
+trap cleanup EXIT
+
+echo "[test] Report directory: $RUN_DIR"
+echo "[test] Base URLs: server=http://127.0.0.1:${SERVER_PORT} frontend=http://127.0.0.1:${FRONTEND_PORT}"
+echo "[test] Database port: ${PG_PORT}"
+echo "[test] Docker project: ${COMPOSE_PROJECT_NAME}"
+
+PRECHECK_OK=1
+SERVER_SETUP_OK=1
+SERVER_RUNNING_OK=1
+FRONTEND_BUILD_OK=1
+
+run_step "Precheck: required commands" "command -v bash python3 node npm docker curl >/dev/null"
+if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+  PRECHECK_OK=0
+fi
+
+run_step "Precheck: key repository paths" "test -f \"$ROOT_DIR/scripts/client_test.sh\" && test -d \"$ROOT_DIR/client\" && test -d \"$ROOT_DIR/server\" && test -d \"$ROOT_DIR/frontend\""
+if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+  PRECHECK_OK=0
+fi
+
+if [[ "$PRECHECK_OK" -eq 1 ]]; then
+  run_step "Client: compile Python modules" "PYTHONPYCACHEPREFIX=/tmp/pycache python3 -m compileall client"
+  run_step "Client: import core modules" "python3 -c \"import client.config, client.network, client.ffmpeg, client.main\""
+  run_step "Client: CLI help and localhost base URL wiring" "BASE_URL=http://127.0.0.1:${SERVER_PORT} scripts/client_test.sh --help"
+
+  run_step "Docker: compose config validation" "docker compose -f \"$COMPOSE_FILE\" config -q"
+  run_step "Database: start container" "docker compose -f \"$COMPOSE_FILE\" up -d db"
+  run_step "Database: readiness wait" "for i in \$(seq 1 50); do docker compose -f \"$COMPOSE_FILE\" exec -T db pg_isready -U \"$PG_USER\" -d postgres >/dev/null 2>&1 && exit 0; sleep 2; done; echo 'Database not ready in time' >&2; exit 1"
+  run_step "Database: create test database if missing" "docker compose -f \"$COMPOSE_FILE\" exec -T db psql -U \"$PG_USER\" -d postgres -v ON_ERROR_STOP=1 -c \"CREATE DATABASE \\\"$DB_NAME\\\";\" 2>/dev/null || true"
+
+  run_step "Server: npm ci" "cd \"$ROOT_DIR/server\" && npm ci --no-fund"
+  if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+    SERVER_SETUP_OK=0
+  fi
+  run_step "Server: prisma generate" "cd \"$ROOT_DIR/server\" && PRISMA_TELEMETRY_DISABLED=1 npx prisma generate"
+  if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+    SERVER_SETUP_OK=0
+  fi
+  run_step "Server: build" "cd \"$ROOT_DIR/server\" && npm run build"
+  if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+    SERVER_SETUP_OK=0
+  fi
+  run_step "Server: migrate deploy" "cd \"$ROOT_DIR/server\" && PRISMA_TELEMETRY_DISABLED=1 DATABASE_URL=\"$DATABASE_URL_LOCAL\" npx prisma migrate deploy"
+  if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+    SERVER_SETUP_OK=0
+  fi
+  run_step "Server: node test suite" "cd \"$ROOT_DIR/server\" && DATABASE_URL=\"$DATABASE_URL_LOCAL\" npm test"
+  if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+    SERVER_SETUP_OK=0
+  fi
+
+  if [[ "$SERVER_SETUP_OK" -eq 1 ]]; then
+    start_server || SERVER_RUNNING_OK=0
+    if [[ "$SERVER_RUNNING_OK" -eq 1 ]]; then
+      run_step "API: health live" "curl -fsS \"http://127.0.0.1:${SERVER_PORT}/health/live\" >/dev/null"
+      run_step "API: health ready" "curl -fsS \"http://127.0.0.1:${SERVER_PORT}/health/ready\" >/dev/null"
+      run_step "API: query returns array" "curl -fsS \"http://127.0.0.1:${SERVER_PORT}/query?limit=5\" | python3 -c \"import json,sys; data=json.load(sys.stdin); assert isinstance(data, list)\""
+      run_api_submit_accepts_sample
+      run_step "API: submit method guard" "test \"\$(curl -s -o /dev/null -w '%{http_code}' -X GET \"http://127.0.0.1:${SERVER_PORT}/submit\")\" = \"405\""
+
+      run_step "Frontend: npm ci" "cd \"$ROOT_DIR/frontend\" && npm ci --no-fund"
+      if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+        FRONTEND_BUILD_OK=0
+      fi
+      run_step "Frontend: lint" "cd \"$ROOT_DIR/frontend\" && npm run lint"
+      if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+        FRONTEND_BUILD_OK=0
+      fi
+      run_step "Frontend: build" "cd \"$ROOT_DIR/frontend\" && INTERNAL_API_BASE_URL=\"http://127.0.0.1:${SERVER_PORT}\" NEXT_PUBLIC_API_BASE_URL=\"http://127.0.0.1:${SERVER_PORT}\" npm run build"
+      if [[ "$LAST_STATUS" == "FAIL" || "$LAST_STATUS" == "BLOCKED" ]]; then
+        FRONTEND_BUILD_OK=0
+      fi
+
+      if [[ "$FRONTEND_BUILD_OK" -eq 1 ]]; then
+        start_frontend || true
+        run_step "Frontend: homepage response" "code=\$(curl -s -o /dev/null -w '%{http_code}' \"http://127.0.0.1:${FRONTEND_PORT}/\"); test \"\$code\" = \"200\" -o \"\$code\" = \"304\""
+        run_step "Frontend: leaderboard response" "code=\$(curl -s -o /dev/null -w '%{http_code}' \"http://127.0.0.1:${FRONTEND_PORT}/leaderboards\"); test \"\$code\" = \"200\" -o \"\$code\" = \"304\""
+      else
+        mark_blocked "Frontend: start and route checks" "frontend build pipeline failed earlier"
+      fi
+    else
+      mark_blocked "API and frontend runtime checks" "server failed to start"
+    fi
+  else
+    mark_blocked "Server runtime checks" "server setup/build/test pipeline failed earlier"
+    mark_blocked "Frontend checks" "server pipeline failed, frontend integration skipped"
+  fi
+else
+  mark_blocked "All functional checks" "precheck failed"
+fi
+
+echo
+echo "==================== Test Summary ===================="
+pass_count=0
+warn_count=0
+fail_count=0
+for i in "${!STEP_NAMES[@]}"; do
+  status="${STEP_STATUS[$i]}"
+  case "$status" in
+    PASS) pass_count=$((pass_count + 1)) ;;
+    WARN) warn_count=$((warn_count + 1)) ;;
+    FAIL|BLOCKED) fail_count=$((fail_count + 1)) ;;
+  esac
+  printf '%02d. %-7s %-45s %s\n' "$((i + 1))" "$status" "${STEP_NAMES[$i]}" "${STEP_NOTES[$i]}"
+  printf '    log: %s\n' "${STEP_LOGS[$i]}"
+done
+echo "------------------------------------------------------"
+echo "PASS=$pass_count WARN=$warn_count FAIL=$fail_count"
+echo "Report directory: $RUN_DIR"
+
+if [[ "$OVERALL" -eq 2 ]]; then
+  echo "Overall result: FAIL"
+  exit 1
+fi
+if [[ "$OVERALL" -eq 1 ]]; then
+  echo "Overall result: WARN (treated as failure by policy)"
+  exit 2
+fi
+echo "Overall result: PASS"
+exit 0
diff --git a/server/env.example b/server/env.example
index 6eb029b..426f9bb 100644
--- a/server/env.example
+++ b/server/env.example
@@ -6,13 +6,22 @@ DATABASE_URL=
 
 # Server
 PORT=3001
+# Leave blank to use safe defaults (production: 1 proxy hop, non-prod: disabled).
+# Set to true/false/number/CIDR list if you need custom behavior.
+TRUST_PROXY=
 CORS_ORIGIN=https://mydomain.com
 BODY_LIMIT=1mb
 RATE_LIMIT_WINDOW_MS=60000
 RATE_LIMIT_MAX=300
 SUBMIT_RATE_WINDOW_MS=60000
 SUBMIT_RATE_MAX=30
+# public | hybrid | signed (public accepts unsigned submissions)
+INGEST_MODE=public
+# Required when INGEST_MODE=signed
 INGEST_HMAC_SECRET=
+POW_ENABLED=0
+POW_DIFFICULTY=0
+SUBMIT_TOKEN_TTL_SECONDS=60
 
 # Frontend (public)
 NEXT_PUBLIC_API_BASE_URL=https://mydomain.com
diff --git a/server/package-lock.json b/server/package-lock.json
index 47cab0b..23d1996 100644
--- a/server/package-lock.json
+++ b/server/package-lock.json
@@ -28,24 +28,10 @@
         "@types/node": "^24.6.1",
         "@types/uuid": "^9.0.7",
         "prisma": "^6.16.3",
-        "ts-node-dev": "^2.0.0",
         "tsx": "^4.20.6",
         "typescript": "^5.9.3"
       }
     },
-    "node_modules/@cspotcode/source-map-support": {
-      "version": "0.8.1",
-      "resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz",
-      "integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@jridgewell/trace-mapping": "0.3.9"
-      },
-      "engines": {
-        "node": ">=12"
-      }
-    },
     "node_modules/@esbuild/aix-ppc64": {
       "version": "0.25.10",
       "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.10.tgz",
@@ -488,34 +474,6 @@
         "node": ">=18"
       }
     },
-    "node_modules/@jridgewell/resolve-uri": {
-      "version": "3.1.2",
-      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz",
-      "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=6.0.0"
-      }
-    },
-    "node_modules/@jridgewell/sourcemap-codec": {
-      "version": "1.5.5",
-      "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.5.tgz",
-      "integrity": "sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/@jridgewell/trace-mapping": {
-      "version": "0.3.9",
-      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz",
-      "integrity": "sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@jridgewell/resolve-uri": "^3.0.3",
-        "@jridgewell/sourcemap-codec": "^1.4.10"
-      }
-    },
     "node_modules/@prisma/client": {
       "version": "6.16.3",
       "resolved": "https://registry.npmjs.org/@prisma/client/-/client-6.16.3.tgz",
@@ -608,34 +566,6 @@
       "devOptional": true,
       "license": "MIT"
     },
-    "node_modules/@tsconfig/node10": {
-      "version": "1.0.11",
-      "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz",
-      "integrity": "sha512-DcRjDCujK/kCk/cUe8Xz8ZSpm8mS3mNNpta+jGCA6USEDfktlNvm1+IuZ9eTcDbNk41BHwpHHeW+N1lKCz4zOw==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/@tsconfig/node12": {
-      "version": "1.0.11",
-      "resolved": "https://registry.npmjs.org/@tsconfig/node12/-/node12-1.0.11.tgz",
-      "integrity": "sha512-cqefuRsh12pWyGsIoBKJA9luFu3mRxCA+ORZvA4ktLSzIuCUtWVxGIuXigEwO5/ywWFMZ2QEGKWvkZG1zDMTag==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/@tsconfig/node14": {
-      "version": "1.0.3",
-      "resolved": "https://registry.npmjs.org/@tsconfig/node14/-/node14-1.0.3.tgz",
-      "integrity": "sha512-ysT8mhdixWK6Hw3i1V2AeRqZ5WfXg1G43mqoYlM2nc6388Fq5jcXyr5mRsqViLx/GJYdoL0bfXD8nmF+Zn/Iow==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/@tsconfig/node16": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@tsconfig/node16/-/node16-1.0.4.tgz",
-      "integrity": "sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/@types/body-parser": {
       "version": "1.19.6",
       "resolved": "https://registry.npmjs.org/@types/body-parser/-/body-parser-1.19.6.tgz",
@@ -774,20 +704,6 @@
         "@types/send": "*"
       }
     },
-    "node_modules/@types/strip-bom": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/@types/strip-bom/-/strip-bom-3.0.0.tgz",
-      "integrity": "sha512-xevGOReSYGM7g/kUBZzPqCrR/KYAo+F0yiPc85WFTJa0MSLtyFTVTU6cJu/aV4mid7IffDIWqo69THF2o4JiEQ==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/@types/strip-json-comments": {
-      "version": "0.0.30",
-      "resolved": "https://registry.npmjs.org/@types/strip-json-comments/-/strip-json-comments-0.0.30.tgz",
-      "integrity": "sha512-7NQmHra/JILCd1QqpSzl8+mJRc8ZHz3uDm8YV1Ks9IhK0epEiTw8aIErbvH9PI+6XbqhyIQy3462nEsn7UVzjQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/@types/uuid": {
       "version": "9.0.8",
       "resolved": "https://registry.npmjs.org/@types/uuid/-/uuid-9.0.8.tgz",
@@ -808,60 +724,6 @@
         "node": ">= 0.6"
       }
     },
-    "node_modules/acorn": {
-      "version": "8.15.0",
-      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz",
-      "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
-      "dev": true,
-      "license": "MIT",
-      "bin": {
-        "acorn": "bin/acorn"
-      },
-      "engines": {
-        "node": ">=0.4.0"
-      }
-    },
-    "node_modules/acorn-walk": {
-      "version": "8.3.4",
-      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.4.tgz",
-      "integrity": "sha512-ueEepnujpqee2o5aIYnvHU6C0A42MNdsIDeqy5BydrkuC5R1ZuUFnm27EeFJGoEHJQgn3uleRvmTXaJgfXbt4g==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "acorn": "^8.11.0"
-      },
-      "engines": {
-        "node": ">=0.4.0"
-      }
-    },
-    "node_modules/anymatch": {
-      "version": "3.1.3",
-      "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
-      "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==",
-      "dev": true,
-      "license": "ISC",
-      "dependencies": {
-        "normalize-path": "^3.0.0",
-        "picomatch": "^2.0.4"
-      },
-      "engines": {
-        "node": ">= 8"
-      }
-    },
-    "node_modules/arg": {
-      "version": "4.1.3",
-      "resolved": "https://registry.npmjs.org/arg/-/arg-4.1.3.tgz",
-      "integrity": "sha512-58S9QDqG0Xx27YwPSt9fJxivjYl432YCwfDMfZ+71RAqUrZef7LrKQZ3LHLOwCS4FLNBplP533Zx895SeOCHvA==",
-      "dev": true,
-      "license": "MIT"
-    },
-    "node_modules/balanced-match": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
-      "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/basic-auth": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/basic-auth/-/basic-auth-2.0.1.tgz",
@@ -880,19 +742,6 @@
       "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
       "license": "MIT"
     },
-    "node_modules/binary-extensions": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz",
-      "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=8"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/sindresorhus"
-      }
-    },
     "node_modules/body-parser": {
       "version": "2.2.2",
       "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-2.2.2.tgz",
@@ -917,37 +766,6 @@
         "url": "https://opencollective.com/express"
       }
     },
-    "node_modules/brace-expansion": {
-      "version": "1.1.12",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
-      "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "balanced-match": "^1.0.0",
-        "concat-map": "0.0.1"
-      }
-    },
-    "node_modules/braces": {
-      "version": "3.0.3",
-      "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz",
-      "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "fill-range": "^7.1.1"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
-    "node_modules/buffer-from": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/buffer-from/-/buffer-from-1.1.2.tgz",
-      "integrity": "sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/bytes": {
       "version": "3.1.2",
       "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz",
@@ -1108,13 +926,6 @@
         "node": ">= 0.6"
       }
     },
-    "node_modules/concat-map": {
-      "version": "0.0.1",
-      "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
-      "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/confbox": {
       "version": "0.2.2",
       "resolved": "https://registry.npmjs.org/confbox/-/confbox-0.2.2.tgz",
@@ -1184,13 +995,6 @@
         "node": ">= 0.10"
       }
     },
-    "node_modules/create-require": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/create-require/-/create-require-1.1.1.tgz",
-      "integrity": "sha512-dcKFX3jn0MpIaXjisoRvexIJVEKzaq7z2rZKxf+MSr9TkdmHmsU4m2lcLojrj/FHl8mk5VxMmYA+ftRkP/3oKQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/debug": {
       "version": "4.4.3",
       "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
@@ -1241,16 +1045,6 @@
       "devOptional": true,
       "license": "MIT"
     },
-    "node_modules/diff": {
-      "version": "4.0.4",
-      "resolved": "https://registry.npmjs.org/diff/-/diff-4.0.4.tgz",
-      "integrity": "sha512-X07nttJQkwkfKfvTPG/KSnE2OMdcUCao6+eXF3wmnIQRn2aPAHH3VxDbDOdegkd6JbPsXqShpvEOHfAT+nCNwQ==",
-      "dev": true,
-      "license": "BSD-3-Clause",
-      "engines": {
-        "node": ">=0.3.1"
-      }
-    },
     "node_modules/dotenv": {
       "version": "17.2.3",
       "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-17.2.3.tgz",
@@ -1277,16 +1071,6 @@
         "node": ">= 0.4"
       }
     },
-    "node_modules/dynamic-dedupe": {
-      "version": "0.3.0",
-      "resolved": "https://registry.npmjs.org/dynamic-dedupe/-/dynamic-dedupe-0.3.0.tgz",
-      "integrity": "sha512-ssuANeD+z97meYOqd50e04Ze5qp4bPqo8cCkI4TRjZkzAUgIDTrXV1R8QCdINpiI+hw14+rYazvTRdQrz0/rFQ==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "xtend": "^4.0.0"
-      }
-    },
     "node_modules/ee-first": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/ee-first/-/ee-first-1.1.1.tgz",
@@ -1497,19 +1281,6 @@
         "node": ">=8.0.0"
       }
     },
-    "node_modules/fill-range": {
-      "version": "7.1.1",
-      "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",
-      "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "to-regex-range": "^5.0.1"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
     "node_modules/finalhandler": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/finalhandler/-/finalhandler-2.1.0.tgz",
@@ -1545,13 +1316,6 @@
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-      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
-      "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "anymatch": "~3.1.2",
-        "braces": "~3.0.2",
-        "glob-parent": "~5.1.2",
-        "is-binary-path": "~2.1.0",
-        "is-glob": "~4.0.1",
-        "normalize-path": "~3.0.0",
-        "readdirp": "~3.6.0"
-      },
-      "engines": {
-        "node": ">= 8.10.0"
-      },
-      "funding": {
-        "url": "https://paulmillr.com/funding/"
-      },
-      "optionalDependencies": {
-        "fsevents": "~2.3.2"
-      }
-    },
-    "node_modules/ts-node-dev/node_modules/readdirp": {
-      "version": "3.6.0",
-      "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz",
-      "integrity": "sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "picomatch": "^2.2.1"
-      },
-      "engines": {
-        "node": ">=8.10.0"
-      }
-    },
-    "node_modules/tsconfig": {
-      "version": "7.0.0",
-      "resolved": "https://registry.npmjs.org/tsconfig/-/tsconfig-7.0.0.tgz",
-      "integrity": "sha512-vZXmzPrL+EmC4T/4rVlT2jNVMWCi/O4DIiSj3UHg1OE5kCKbk4mfrXc6dZksLgRM/TZlKnousKH9bbTazUWRRw==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@types/strip-bom": "^3.0.0",
-        "@types/strip-json-comments": "0.0.30",
-        "strip-bom": "^3.0.0",
-        "strip-json-comments": "^2.0.0"
-      }
-    },
     "node_modules/tsx": {
       "version": "4.20.6",
       "resolved": "https://registry.npmjs.org/tsx/-/tsx-4.20.6.tgz",
@@ -2839,13 +2169,6 @@
         "uuid": "dist/bin/uuid"
       }
     },
-    "node_modules/v8-compile-cache-lib": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",
-      "integrity": "sha512-wa7YjyUGfNZngI/vtK0UHAN+lgDCxBPCylVXGp0zu59Fz5aiGtNXaq3DhIov063MorB+VfufLh3JlF2KdTK3xg==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/vary": {
       "version": "1.1.2",
       "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
@@ -2861,26 +2184,6 @@
       "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
       "license": "ISC"
     },
-    "node_modules/xtend": {
-      "version": "4.0.2",
-      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
-      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=0.4"
-      }
-    },
-    "node_modules/yn": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
-      "integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=6"
-      }
-    },
     "node_modules/zod": {
       "version": "4.1.11",
       "resolved": "https://registry.npmjs.org/zod/-/zod-4.1.11.tgz",
diff --git a/server/package.json b/server/package.json
index bc2a2af..2970b95 100644
--- a/server/package.json
+++ b/server/package.json
@@ -33,8 +33,7 @@
     "@types/morgan": "^1.9.9",
     "@types/uuid": "^9.0.7",
     "prisma": "^6.16.3",
-    "ts-node-dev": "^2.0.0",
     "tsx": "^4.20.6",
     "typescript": "^5.9.3"
   }
-}
\ No newline at end of file
+}
diff --git a/server/prisma/schema.prisma b/server/prisma/schema.prisma
index c6a407c..24dca48 100644
--- a/server/prisma/schema.prisma
+++ b/server/prisma/schema.prisma
@@ -28,8 +28,6 @@ model Benchmark {
   codec          String
   preset         String
   crf            Int      @default(24)
-
-  // Multi-content and resolution (Sprint 5)
   contentClass   String   @default("mixed")
   resolution     String   @default("1080p")
   passes         Int      @default(1)
@@ -123,14 +121,14 @@ model Benchmark {
   @@index([status])
   @@index([codec])
   @@index([preset])
+  @@index([contentClass])
+  @@index([resolution])
+  @@index([contentClass, resolution])
   @@index([inputHash])
   @@index([codec, preset])
   @@index([status, createdAt])
   @@index([cpuModel])
   @@index([gpuModel])
-  @@index([contentClass])
-  @@index([resolution])
-  @@index([contentClass, resolution])
   @@unique([cpuModel, gpuModel, ramGB, os, codec, preset, crf, contentClass, resolution, passes])
 }
 
@@ -149,8 +147,6 @@ model Submission {
   codec          String
   preset         String
   crf            Int      @default(24)
-
-  // Multi-content and resolution (Sprint 5)
   contentClass   String   @default("mixed")
   resolution     String   @default("1080p")
   passes         Int      @default(1)
@@ -205,9 +201,10 @@ model Submission {
   @@index([status])
   @@index([codec])
   @@index([preset])
-  @@index([codec, preset])
   @@index([contentClass])
   @@index([resolution])
+  @@index([contentClass, resolution])
+  @@index([codec, preset])
   @@index([cpuModel, gpuModel, ramGB, os, codec, preset, crf, contentClass, resolution, passes])
 }
 
@@ -223,5 +220,6 @@ model TestVideo {
   createdAt    DateTime @default(now())
 
   @@index([contentClass])
+  @@index([resolution])
   @@index([contentClass, resolution])
 }
diff --git a/server/src/index.ts b/server/src/index.ts
index dcd857f..1763a28 100644
--- a/server/src/index.ts
+++ b/server/src/index.ts
@@ -12,8 +12,21 @@ import crypto from 'node:crypto';
 
 const app = express();
 
-// Trust proxy when behind nginx/reverse proxy
-app.set('trust proxy', 1);
+const isProd = process.env.NODE_ENV === 'production';
+
+function parseTrustProxySetting(value: string | undefined): boolean | number | string {
+  const raw = String(value || '').trim();
+  if (!raw) return isProd ? 1 : false;
+  const lower = raw.toLowerCase();
+  if (lower === 'true') return true;
+  if (lower === 'false') return false;
+  const asNumber = Number(raw);
+  if (Number.isInteger(asNumber) && asNumber >= 0) return asNumber;
+  return raw;
+}
+
+// Trust reverse-proxy headers only when explicitly configured or in production.
+app.set('trust proxy', parseTrustProxySetting(process.env.TRUST_PROXY));
 // Hide implementation header
 app.disable('x-powered-by');
 
@@ -50,7 +63,6 @@ app.use(morgan((tokens: any, req, res) => {
 }));
 
 // CORS configuration (defaults assume hosting behind Nginx Proxy Manager at encodingdb.platinumlabs.dev)
-const isProd = process.env.NODE_ENV === 'production';
 const corsOriginEnv = process.env.CORS_ORIGIN || (isProd ? 'https://encodingdb.platinumlabs.dev' : '*');
 const allowedOrigins = corsOriginEnv.split(',').map(v => v.trim()).filter(Boolean);
 const isWildcard = corsOriginEnv === '*';
diff --git a/server/src/routes.ts b/server/src/routes.ts
index 8e19f3c..6dd1cc2 100644
--- a/server/src/routes.ts
+++ b/server/src/routes.ts
@@ -23,7 +23,7 @@ const benchmarkSchema = z.object({
   crf: z.coerce.number().int().min(0).max(63).optional().nullable(),
   contentClass: z.enum(VALID_CONTENT_CLASSES).optional().nullable(),
   resolution: z.enum(VALID_RESOLUTIONS).optional().nullable(),
-  passes: z.coerce.number().int().min(1).max(2).optional().nullable(),
+  passes: z.coerce.number().int().min(1).max(1).optional().nullable(),
   fps: z.coerce.number().nonnegative().max(5000),
   vmaf: z.coerce.number().min(0).max(100).optional().nullable(),
   ssim: z.coerce.number().min(0).max(1).optional().nullable(),
@@ -60,17 +60,44 @@ const benchmarkSchema = z.object({
   monitorDurationMs: z.coerce.number().int().min(0).max(24 * 60 * 60 * 1000).optional().nullable(),
 }).strict();
 
+const CPU_FREQ_MIN_MHZ = 100;
+const CPU_FREQ_MAX_MHZ = 10_000;
+
+export function normalizeCpuFreqMHz(value: unknown): number | null {
+  const raw = Number(value);
+  if (!Number.isFinite(raw) || raw <= 0) return null;
+
+  const candidates = [
+    raw,               // already MHz
+    raw * 1000,        // GHz -> MHz
+    raw / 1000,        // KHz -> MHz
+    raw / 1_000_000,   // Hz -> MHz
+  ];
+  const plausible = candidates.filter((n, i, arr) => {
+    if (!Number.isFinite(n)) return false;
+    if (n < CPU_FREQ_MIN_MHZ || n > CPU_FREQ_MAX_MHZ) return false;
+    return arr.findIndex((x) => x === n) === i;
+  });
+  if (plausible.length === 0) return null;
+
+  if (raw >= CPU_FREQ_MIN_MHZ && raw <= CPU_FREQ_MAX_MHZ) {
+    return raw;
+  }
+  if (raw > 0 && raw <= 15) {
+    return raw * 1000;
+  }
+  return plausible.reduce((best, current) => (
+    Math.abs(current - 3000) < Math.abs(best - 3000) ? current : best
+  ));
+}
+
 // Type inferred from Zod schema for proper type safety
 type BenchmarkSubmission = z.infer<typeof benchmarkSchema>;
 
-type SubmissionDimensions = {
-  contentClass: typeof VALID_CONTENT_CLASSES[number];
-  resolution: typeof VALID_RESOLUTIONS[number];
-  passes: number;
-};
-
-export function buildSubmissionPayloadHash(data: BenchmarkSubmission, dims: SubmissionDimensions): string {
+export function buildSubmissionPayloadHash(data: BenchmarkSubmission): string {
   const normalizedGpuModel = (data.gpuModel && data.gpuModel.trim()) ? data.gpuModel.trim() : '';
+  const contentClassValue = data.contentClass ?? 'mixed';
+  const resolutionValue = data.resolution ?? '1080p';
   const significant = {
     cpuModel: data.cpuModel,
     gpuModel: normalizedGpuModel,
@@ -79,9 +106,9 @@ export function buildSubmissionPayloadHash(data: BenchmarkSubmission, dims: Subm
     codec: data.codec,
     preset: data.preset,
     crf: Number(data.crf ?? 24),
-    contentClass: dims.contentClass,
-    resolution: dims.resolution,
-    passes: dims.passes === 2 ? 2 : 1,
+    contentClass: contentClassValue,
+    resolution: resolutionValue,
+    passes: 1,
     fps: Number(data.fps),
     vmaf: data.vmaf ?? null,
     ssim: data.ssim ?? null,
@@ -222,15 +249,15 @@ router.post('/submit', async (req, res) => {
   if (data.crf == null || !Number.isFinite(Number(data.crf))) {
     data.crf = 24;
   }
+  if (data.passes == null) {
+    data.passes = 1;
+  }
   _applyTelemetryFallback(data);
+  data.cpuFreqAvgMHz = normalizeCpuFreqMHz(data.cpuFreqAvgMHz);
   const contentClassValue = data.contentClass ?? 'mixed';
   const resolutionValue = data.resolution ?? '1080p';
-  const passesValue = data.passes ?? 1;
-  const payloadHash = buildSubmissionPayloadHash(data, {
-    contentClass: contentClassValue,
-    resolution: resolutionValue,
-    passes: passesValue,
-  });
+  const passesValue: 1 = 1;
+  const payloadHash = buildSubmissionPayloadHash(data);
 
   try {
     // Fast path: if the exact same payload was already counted, return existing (idempotency)
@@ -411,7 +438,10 @@ router.post('/submit', async (req, res) => {
         },
       });
 
-      const existing = await tx.benchmark.findUnique({ where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key } });
+      const existing = await tx.benchmark.findFirst({
+        where: key,
+        orderBy: { createdAt: 'desc' },
+      });
       if (!existing) {
         createdNew = true;
         // For new benchmarks, only count as sample if accepted
@@ -541,7 +571,7 @@ router.post('/submit', async (req, res) => {
       if (status !== 'accepted') {
         const nextStatus = existing.status === 'accepted' ? 'accepted' : (existing.status ?? status);
         return tx.benchmark.update({
-          where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key },
+          where: { id: existing.id },
           data: { status: nextStatus },
         });
       }
@@ -739,20 +769,11 @@ router.post('/submit', async (req, res) => {
             END,
             "status" = 'accepted',
             "updatedAt" = NOW()
-        WHERE "cpuModel" = ${key.cpuModel}
-          AND "gpuModel" = ${key.gpuModel}
-          AND "ramGB" = ${key.ramGB}
-          AND "os" = ${key.os}
-          AND "codec" = ${key.codec}
-          AND "preset" = ${key.preset}
-          AND "crf" = ${key.crf}
-          AND "contentClass" = ${key.contentClass}
-          AND "resolution" = ${key.resolution}
-          AND "passes" = ${key.passes}
+        WHERE "id" = ${existing.id}
       `;
 
       // Return the updated row
-      const updated = await tx.benchmark.findUnique({ where: { cpuModel_gpuModel_ramGB_os_codec_preset_crf_contentClass_resolution_passes: key } });
+      const updated = await tx.benchmark.findUnique({ where: { id: existing.id } });
       if (!updated) throw new Error('Row disappeared after atomic update');
       return updated;
     });
@@ -867,21 +888,21 @@ router.get('/query', async (req, res) => {
     const skip = Number.isFinite(rawSkip) && rawSkip > 0 ? rawSkip : undefined;
 
     const where: Record<string, unknown> = { status: 'accepted' };
-    if (query.contentClass && VALID_CONTENT_CLASSES.includes(query.contentClass as typeof VALID_CONTENT_CLASSES[number])) {
-      where.contentClass = query.contentClass;
-    }
-    if (query.resolution && VALID_RESOLUTIONS.includes(query.resolution as typeof VALID_RESOLUTIONS[number])) {
-      where.resolution = query.resolution;
-    }
     if (query.passes) {
       const p = Number(query.passes);
-      if (p === 1 || p === 2) where.passes = p;
+      if (p === 1) where.passes = 1;
     }
     // Sprint 4: additional filters
     if (query.codec) where.codec = query.codec;
     if (query.codecSearch) where.codec = { contains: query.codecSearch, mode: 'insensitive' };
     if (query.cpu) where.cpuModel = { contains: query.cpu, mode: 'insensitive' };
     if (query.gpu) where.gpuModel = { contains: query.gpu, mode: 'insensitive' };
+    if (query.contentClass && VALID_CONTENT_CLASSES.includes(query.contentClass as typeof VALID_CONTENT_CLASSES[number])) {
+      where.contentClass = query.contentClass;
+    }
+    if (query.resolution && VALID_RESOLUTIONS.includes(query.resolution as typeof VALID_RESOLUTIONS[number])) {
+      where.resolution = query.resolution;
+    }
     if (query.powerSource === 'ac' || query.powerSource === 'battery') {
       where.powerSource = query.powerSource;
     }
@@ -976,7 +997,7 @@ router.get('/query', async (req, res) => {
 
 // Test video catalog (Sprint 5)
 export const TEST_VIDEO_CATALOG = [
-  { name: 'sample.mp4', contentClass: 'mixed', resolution: '1080p', duration: 20.0, sha256: '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8', sizeBytes: 66045059 },
+  { name: 'sample.mp4', duration: 20.0, sha256: '53a87df054e65d284bc808b8f73e62e938b815cb6aeec8379f904ad6d792aab8', sizeBytes: 66045059 },
 ];
 
 router.get('/test-videos', (_req, res) => {
diff --git a/server/src/seedDummyDatabase.ts b/server/src/seedDummyDatabase.ts
index 7522c76..d527f52 100644
--- a/server/src/seedDummyDatabase.ts
+++ b/server/src/seedDummyDatabase.ts
@@ -1,10 +1,7 @@
-import { PrismaClient, type Prisma } from '@prisma/client';
+import { PrismaClient } from '@prisma/client';
 
 const prisma = new PrismaClient();
 
-const CONTENT_CLASSES = ['mixed', 'talkingHead', 'action', 'animation', 'screen', 'nature', 'gaming'] as const;
-const RESOLUTIONS = ['480p', '720p', '1080p', '1440p', '4k'] as const;
-
 const CPU_MODELS = [
   'AMD Ryzen 9 7950X',
   'AMD Ryzen 7 7800X3D',
@@ -72,7 +69,6 @@ const PRESETS = [
 ];
 
 const CRFS = [18, 22, 26, 30];
-const PASSES = [1, 2];
 
 const FPS_CODEC_FACTOR: Record<string, number> = {
   libx264: 1.0,
@@ -138,21 +134,8 @@ const FPS_PRESET_FACTOR: Record<string, number> = {
   hq: 0.88,
 };
 
-const RESOLUTION_SPEED_FACTOR: Record<string, number> = {
-  '480p': 2.0,
-  '720p': 1.45,
-  '1080p': 1.0,
-  '1440p': 0.63,
-  '4k': 0.31,
-};
-
-const BASE_SIZE_MB: Record<string, number> = {
-  '480p': 24,
-  '720p': 48,
-  '1080p': 92,
-  '1440p': 145,
-  '4k': 285,
-};
+const SINGLE_SAMPLE_SPEED_FACTOR = 1.0;
+const BASE_SAMPLE_SIZE_MB = 92;
 
 function jitter(seed: number): number {
   const x = Math.sin(seed * 12.9898) * 43758.5453123;
@@ -221,7 +204,7 @@ function gpuToPowerBase(gpuModel: string): number {
   return 130;
 }
 
-function buildRow(index: number): Prisma.BenchmarkCreateManyInput {
+function buildRow(index: number) {
   const seed = index + 1;
   const cpuModel = pickBySeed(CPU_MODELS, seed, 3);
   const gpuModel = pickBySeed(GPU_MODELS, seed, 5);
@@ -229,28 +212,23 @@ function buildRow(index: number): Prisma.BenchmarkCreateManyInput {
   const codec = CODECS[(index * 11 + 3) % CODECS.length]!;
   const preset = PRESETS[(index * 13 + 5) % PRESETS.length]!;
   const crf = CRFS[(index * 17 + 2) % CRFS.length]!;
-  const contentClass = CONTENT_CLASSES[index % CONTENT_CLASSES.length]!;
-  const resolution = RESOLUTIONS[Math.floor(index / CONTENT_CLASSES.length) % RESOLUTIONS.length]!;
-  const passes = PASSES[Math.floor(index / (CONTENT_CLASSES.length * RESOLUTIONS.length)) % PASSES.length]!;
+  const passes = 1;
 
   const gpuSpeed = gpuToSpeedFactor(gpuModel);
   const codecSpeed = FPS_CODEC_FACTOR[codec] ?? 1;
   const presetSpeed = FPS_PRESET_FACTOR[preset] ?? 1;
-  const resolutionSpeed = RESOLUTION_SPEED_FACTOR[resolution] ?? 1;
-  const passSpeed = passes === 2 ? 0.66 : 1.0;
   const crfSpeed = 1 + (crf - 24) * 0.018;
-  const baseFps = 36 * gpuSpeed * codecSpeed * presetSpeed * resolutionSpeed * passSpeed * crfSpeed;
+  const baseFps = 36 * gpuSpeed * codecSpeed * presetSpeed * SINGLE_SAMPLE_SPEED_FACTOR * crfSpeed;
   const fps = round2(clamp(baseFps * (0.9 + jitter(seed) * 0.2), 4, 420));
 
-  const qualityBase = 95 - (crf - 18) * 1.5 + (QUALITY_CODEC_BONUS[codec] ?? 0) + (passes === 2 ? 0.9 : 0) + (jitter(seed + 7) - 0.5) * 2.4;
+  const qualityBase = 95 - (crf - 18) * 1.5 + (QUALITY_CODEC_BONUS[codec] ?? 0) + (jitter(seed + 7) - 0.5) * 2.4;
   const vmaf = round2(clamp(qualityBase, 50, 99.5));
   const ssim = round4(clamp(0.81 + (vmaf - 60) * 0.0044 + (jitter(seed + 11) - 0.5) * 0.008, 0.72, 0.999));
   const psnr = round2(clamp(24 + (vmaf - 60) * 0.42 + (jitter(seed + 13) - 0.5) * 1.8, 20, 56));
 
-  const sizeBase = (BASE_SIZE_MB[resolution] ?? 100) * (SIZE_CODEC_FACTOR[codec] ?? 1);
+  const sizeBase = BASE_SAMPLE_SIZE_MB * (SIZE_CODEC_FACTOR[codec] ?? 1);
   const crfScale = 1 - (crf - 24) * 0.04;
-  const passScale = passes === 2 ? 0.92 : 1.0;
-  const sizeMb = sizeBase * crfScale * passScale * (0.9 + jitter(seed + 17) * 0.2);
+  const sizeMb = sizeBase * crfScale * (0.9 + jitter(seed + 17) * 0.2);
   const fileSizeBytes = Math.max(120_000, Math.round(sizeMb * 1024 * 1024));
 
   const samples = 3 + Math.floor(jitter(seed + 19) * 10);
@@ -270,8 +248,6 @@ function buildRow(index: number): Prisma.BenchmarkCreateManyInput {
     codec,
     preset,
     crf,
-    contentClass,
-    resolution,
     passes,
     fps,
     vmaf,
@@ -320,7 +296,7 @@ async function main(): Promise<void> {
   }
 
   const targetCount = Math.min(readCountEnv('SEED_DUMMY_BENCHMARKS_COUNT', 480), 5_000);
-  const rows: Prisma.BenchmarkCreateManyInput[] = [];
+  const rows: Array<ReturnType<typeof buildRow>> = [];
   for (let i = 0; i < targetCount; i += 1) {
     rows.push(buildRow(i));
   }
diff --git a/server/test/routes.smoke.test.js b/server/test/routes.smoke.test.js
index f61d95f..ded5261 100644
--- a/server/test/routes.smoke.test.js
+++ b/server/test/routes.smoke.test.js
@@ -2,7 +2,7 @@ import test, { after } from 'node:test';
 import assert from 'node:assert/strict';
 import net from 'node:net';
 import express from 'express';
-import routes, { buildSubmissionPayloadHash, DEFAULT_QUERY_LIMIT, TEST_VIDEO_CATALOG } from '../dist/routes.js';
+import routes, { buildSubmissionPayloadHash, DEFAULT_QUERY_LIMIT, TEST_VIDEO_CATALOG, normalizeCpuFreqMHz } from '../dist/routes.js';
 import { prisma } from '../dist/db.js';
 
 process.env.DATABASE_URL ||= 'postgresql://app:app@localhost:5432/benchmarks?schema=public';
@@ -123,6 +123,36 @@ test('POST /submit rejects invalid payloads with 400', async (t) => {
   }
 });
 
+test('POST /submit rejects non-single-pass payloads', async (t) => {
+  if (!CAN_BIND_LOOPBACK) {
+    t.skip('Loopback listen is unavailable in this runtime');
+    return;
+  }
+  const { server, baseUrl } = await startTestServer();
+  try {
+    const res = await fetch(`${baseUrl}/submit`, {
+      method: 'POST',
+      headers: { 'content-type': 'application/json' },
+      body: JSON.stringify({
+        cpuModel: 'Intel Core i7-14700K',
+        ramGB: 32,
+        os: 'Windows 11',
+        codec: 'libx264',
+        preset: 'fast',
+        passes: 2,
+        fps: 120.5,
+        fileSizeBytes: 123_456_789,
+      }),
+    });
+    assert.equal(res.status, 400);
+    const body = await res.json();
+    assert.equal(body.error, 'Invalid payload');
+    assert.ok(body.details?.fieldErrors?.passes, 'Expected passes field validation error');
+  } finally {
+    await new Promise((resolve) => server.close(resolve));
+  }
+});
+
 test('buildSubmissionPayloadHash changes when telemetry changes', () => {
   const base = {
     cpuModel: 'Intel Core i7-14700K',
@@ -169,8 +199,32 @@ test('buildSubmissionPayloadHash changes when telemetry changes', () => {
     monitorDurationMs: 125000,
   };
   const variant = { ...base, cpuUtilMax: 99.1 };
-  const h1 = buildSubmissionPayloadHash(base, { contentClass: 'mixed', resolution: '1080p', passes: 1 });
-  const h2 = buildSubmissionPayloadHash(variant, { contentClass: 'mixed', resolution: '1080p', passes: 1 });
+  const h1 = buildSubmissionPayloadHash(base);
+  const h2 = buildSubmissionPayloadHash(variant);
+  assert.notEqual(h1, h2);
+});
+
+test('buildSubmissionPayloadHash changes when content dimensions change', () => {
+  const base = {
+    cpuModel: 'Intel Core i7-14700K',
+    gpuModel: 'NVIDIA RTX 4070',
+    ramGB: 32,
+    os: 'Windows 11',
+    codec: 'libx264',
+    preset: 'fast',
+    crf: 24,
+    contentClass: 'mixed',
+    resolution: '1080p',
+    passes: 1,
+    fps: 120.5,
+    vmaf: 95.3,
+    ssim: 0.98,
+    psnr: 41.2,
+    fileSizeBytes: 123_456_789,
+  };
+  const variant = { ...base, contentClass: 'action', resolution: '720p' };
+  const h1 = buildSubmissionPayloadHash(base);
+  const h2 = buildSubmissionPayloadHash(variant);
   assert.notEqual(h1, h2);
 });
 
@@ -187,3 +241,12 @@ test('TEST_VIDEO_CATALOG has no placeholders', () => {
     assert.ok(Number(row.sizeBytes) > 0);
   }
 });
+
+test('normalizeCpuFreqMHz converts GHz-like values and drops invalid telemetry', () => {
+  assert.equal(normalizeCpuFreqMHz(4), 4000);
+  assert.equal(normalizeCpuFreqMHz(4050), 4050);
+  assert.equal(normalizeCpuFreqMHz(4_050_000), 4050);
+  assert.equal(normalizeCpuFreqMHz(0), null);
+  assert.equal(normalizeCpuFreqMHz(-1), null);
+  assert.equal(normalizeCpuFreqMHz('not-a-number'), null);
+});

From 9fbd1ce983a2123a513a2a0b93bc9c56b4666d3a Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Thu, 19 Feb 2026 13:55:03 -0800
Subject: [PATCH 5/7] Document v1.1.0 changelog

---
 README.md | 46 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 46 insertions(+)

diff --git a/README.md b/README.md
index ee1284f..f3c0953 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,52 @@ Encoding Database is an open benchmarking platform for video encoding performanc
 
 With the changes brought by version *v1.1.0*, the project has moved well beyond a simple benchmark script into a multi-component data platform with quality controls, ingest hardening, and hardware telemetry.
 
+## Changelog (v1.1.0)
+
+This release documents work completed since `v1.0.2` and reflects a major platform overhaul.
+
+### Sprint completion snapshot
+
+- Sprint 1: Data Integrity (`13/13` complete)
+- Sprint 2: Core Optimizations (`17/17` complete)
+- Sprint 3: SSIM + PSNR (`15/15` complete)
+- Sprint 4: Frontend Overhaul (`12/13` complete)
+- Sprint 6: Hardware Intelligence (`9/9` complete)
+- Sprint 5: CRF single-pass policy enforcement shipped (`passes=1`), broader multi-content rollout still pending
+
+### Client (Python benchmark runner)
+
+- Reworked benchmark execution to avoid double-encoding and measure speed/size/quality from one artifact.
+- Added SSIM and PSNR computation (alongside VMAF), including parallelized quality analysis.
+- Fixed hardware encoder CRF handling (VideoToolbox, QSV, AMF, VAAPI) where CRF could previously be ignored.
+- Improved benchmark throughput with cached encoder discovery, FFmpeg progress parsing, and SHA256 caching.
+- Fixed progress accounting and baseline cache behavior (including TTL support).
+- Added hardware telemetry capture for GPU utilization/power, CPU utilization, memory peaks, and thermal throttling.
+
+### Server and data pipeline (Node/Express + Prisma)
+
+- Hardened ingest consistency with transactional aggregation, in-transaction audit inserts, and race-condition fixes.
+- Replaced fragile running averages with sum/count-based aggregates for safer recomputation and correction.
+- Expanded schema and validation for SSIM/PSNR and hardware telemetry metrics.
+- Added query-path optimizations: response caching, composite query indexing, and PostgreSQL-native stats helpers.
+- Improved ingest edge-case behavior (CORS for non-browser clients, proxy-aware rate-limit keying, bounded token store).
+
+### Frontend (Next.js analytics platform)
+
+- Overhauled large-dataset handling with virtualized benchmark tables, server-side filtering, and pagination.
+- Added lazy-loaded charts and canvas-based scatter rendering for significantly better chart performance.
+- Expanded analysis views with SSIM/PSNR histograms, SSIM vs VMAF scatter, and rate-distortion visualization.
+- Added/expanded comparison tooling, leaderboards, and encoder dashboard workflows.
+- Added hardware intelligence views: efficiency metrics, GPU utilization, power comparison, CPU heatmaps, and recommendations.
+- Fixed PL score behavior and control UX issues (median-size scoring bug, zero-weight guardrails, real-time normalization).
+
+### Database and integrity model
+
+- Tightened schema integrity with non-null `crf` defaults and normalized `gpuModel` handling.
+- Standardized canonical input hash enforcement for reproducible benchmark comparisons.
+- Extended benchmark rows with telemetry and quality sample-count fields for higher confidence analysis.
+- Enforced CRF single-pass policy (`passes=1`) across the pipeline for consistency.
+
 ## Why this project exists
 
 Encoder performance claims are often hard to compare because workloads, settings, and hardware conditions differ. Encoding Database standardizes those dimensions (as best we can) so results are more comparable and useful in real-world decision making:

From 8e9af16ef2c9a429b478377d01b2803670fa73a2 Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Thu, 19 Feb 2026 13:56:09 -0800
Subject: [PATCH 6/7] readme

---
 README.md | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/README.md b/README.md
index f3c0953..4a6f969 100644
--- a/README.md
+++ b/README.md
@@ -13,15 +13,6 @@ With the changes brought by version *v1.1.0*, the project has moved well beyond
 
 This release documents work completed since `v1.0.2` and reflects a major platform overhaul.
 
-### Sprint completion snapshot
-
-- Sprint 1: Data Integrity (`13/13` complete)
-- Sprint 2: Core Optimizations (`17/17` complete)
-- Sprint 3: SSIM + PSNR (`15/15` complete)
-- Sprint 4: Frontend Overhaul (`12/13` complete)
-- Sprint 6: Hardware Intelligence (`9/9` complete)
-- Sprint 5: CRF single-pass policy enforcement shipped (`passes=1`), broader multi-content rollout still pending
-
 ### Client (Python benchmark runner)
 
 - Reworked benchmark execution to avoid double-encoding and measure speed/size/quality from one artifact.

From 1964abdd9d98bfdeeca107c288933f5fa346471f Mon Sep 17 00:00:00 2001
From: ofhd <hi@oliverdougherty.com>
Date: Thu, 19 Feb 2026 14:02:30 -0800
Subject: [PATCH 7/7] readme

---
 README.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/README.md b/README.md
index 4a6f969..39abd10 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,6 @@ This release documents work completed since `v1.0.2` and reflects a major platfo
 ### Frontend (Next.js analytics platform)
 
 - Overhauled large-dataset handling with virtualized benchmark tables, server-side filtering, and pagination.
-- Added lazy-loaded charts and canvas-based scatter rendering for significantly better chart performance.
 - Expanded analysis views with SSIM/PSNR histograms, SSIM vs VMAF scatter, and rate-distortion visualization.
 - Added/expanded comparison tooling, leaderboards, and encoder dashboard workflows.
 - Added hardware intelligence views: efficiency metrics, GPU utilization, power comparison, CPU heatmaps, and recommendations.