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import { useState } from "react";
import {
RadarChart, Radar, PolarGrid, PolarAngleAxis,
ResponsiveContainer, Tooltip, Legend,
BarChart, Bar, XAxis, YAxis, CartesianGrid,
} from "recharts";
interface AggregateData {
numSamples: number;
baseline: { avgF1: number; avgEM: number; avgTokens: number; avgCost: number; avgLatency: number };
graphrag: { avgF1: number; avgEM: number; avgTokens: number; avgCost: number; avgLatency: number };
graphragF1WinRate: number;
byType: {
bridge?: { count: number; baselineF1: number; graphragF1: number } | null;
comparison?: { count: number; baselineF1: number; graphragF1: number } | null;
};
}
const INITIAL: AggregateData = {
numSamples: 0,
baseline: { avgF1: 0, avgEM: 0, avgTokens: 0, avgCost: 0, avgLatency: 0 },
graphrag: { avgF1: 0, avgEM: 0, avgTokens: 0, avgCost: 0, avgLatency: 0 },
graphragF1WinRate: 0,
byType: {},
};
export function Benchmark() {
const [running, setRunning] = useState(false);
const [samples, setSamples] = useState(10);
const [data, setData] = useState<AggregateData>(INITIAL);
const [report, setReport] = useState("");
const [demoMode, setDemoMode] = useState(false);
const [hasResults, setHasResults] = useState(false);
const runBenchmark = async () => {
setRunning(true);
setReport("Running benchmark...");
try {
const res = await fetch("/api/benchmark", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ numSamples: samples }),
});
const result = await res.json();
setData(result.aggregate);
setDemoMode(result.demoMode ?? false);
setHasResults(true);
// Build report text
const a = result.aggregate;
const lines = [
`BENCHMARK RESULTS (${a.numSamples} samples, ${result.provider}/${result.model})`,
`${result.demoMode ? "⚠️ DEMO MODE — Set API key for real results" : "✅ LIVE RESULTS"}`,
"",
`Metric Baseline GraphRAG Winner`,
`${"─".repeat(60)}`,
`Avg F1 ${a.baseline.avgF1.toFixed(4)} ${a.graphrag.avgF1.toFixed(4)} ${a.graphrag.avgF1 > a.baseline.avgF1 ? "GraphRAG" : "Baseline"}`,
`Avg EM ${a.baseline.avgEM.toFixed(4)} ${a.graphrag.avgEM.toFixed(4)} ${a.graphrag.avgEM > a.baseline.avgEM ? "GraphRAG" : "Baseline"}`,
`Avg Tokens ${a.baseline.avgTokens} ${a.graphrag.avgTokens} ${a.baseline.avgTokens < a.graphrag.avgTokens ? "Baseline" : "GraphRAG"}`,
`Avg Cost ($) ${a.baseline.avgCost.toFixed(6)} ${a.graphrag.avgCost.toFixed(6)}`,
`Avg Latency (ms) ${a.baseline.avgLatency} ${a.graphrag.avgLatency}`,
"",
`GraphRAG F1 Win Rate: ${(a.graphragF1WinRate * 100).toFixed(0)}%`,
`Token Ratio: ${a.graphrag.avgTokens > 0 && a.baseline.avgTokens > 0 ? (a.graphrag.avgTokens / a.baseline.avgTokens).toFixed(1) : "N/A"}x`,
];
setReport(lines.join("\n"));
} catch (err) {
setReport(`Error: ${err}`);
}
setRunning(false);
};
const radarData = hasResults ? [
{ metric: "F1 Score", Baseline: +(data.baseline.avgF1 * 100).toFixed(0), GraphRAG: +(data.graphrag.avgF1 * 100).toFixed(0) },
{ metric: "Exact Match", Baseline: +(data.baseline.avgEM * 100).toFixed(0), GraphRAG: +(data.graphrag.avgEM * 100).toFixed(0) },
{ metric: "Speed", Baseline: 85, GraphRAG: Math.max(10, 100 - Math.round(data.graphrag.avgLatency / Math.max(data.baseline.avgLatency, 1) * 30)) },
{ metric: "Cost Eff.", Baseline: 85, GraphRAG: Math.max(10, 100 - Math.round(data.graphrag.avgCost / Math.max(data.baseline.avgCost, 0.000001) * 20)) },
{ metric: "Win Rate", Baseline: +((1 - data.graphragF1WinRate) * 100).toFixed(0), GraphRAG: +(data.graphragF1WinRate * 100).toFixed(0) },
] : [];
const typeData = [];
if (data.byType.bridge) typeData.push({ name: "Bridge", Baseline: +(data.byType.bridge.baselineF1 * 100).toFixed(1), GraphRAG: +(data.byType.bridge.graphragF1 * 100).toFixed(1) });
if (data.byType.comparison) typeData.push({ name: "Comparison", Baseline: +(data.byType.comparison.baselineF1 * 100).toFixed(1), GraphRAG: +(data.byType.comparison.graphragF1 * 100).toFixed(1) });
return (
<div>
{/* Controls */}
<div className="card mb-6">
<div className="flex flex-wrap items-end gap-6">
<div>
<div className="display-sm mb-2">Batch Benchmark</div>
<p className="body-sm" style={{ color: "#6c6a64" }}>
Run both pipelines on HotpotQA questions and evaluate F1, EM, tokens, cost
</p>
</div>
<div className="flex items-center gap-4 ml-auto">
<label className="caption">
Samples
<input type="range" min={5} max={10} step={1} value={samples}
onChange={e => setSamples(+e.target.value)} className="block w-32 mt-1 accent-[#FF6B00]" />
<span className="body-sm font-mono">{samples}</span>
</label>
<button className="btn btn-primary" onClick={runBenchmark} disabled={running}>
{running ? (
<span className="flex items-center gap-2">
<span className="animate-spin inline-block w-4 h-4 border-2 border-white border-t-transparent rounded-full" />
Running…
</span>
) : "🏃 Run Benchmark Now"}
</button>
</div>
</div>
{demoMode && hasResults && (
<div className="mt-3 body-sm" style={{ color: "#d4a017" }}>
⚠️ Demo mode — showing simulated results. Set an API key for real benchmark data.
</div>
)}
</div>
{hasResults && (
<>
{/* Summary Cards */}
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 mb-6">
{[
{ label: "Avg F1 (Baseline)", value: data.baseline.avgF1.toFixed(4), color: "#0072CE" },
{ label: "Avg F1 (GraphRAG)", value: data.graphrag.avgF1.toFixed(4), color: "#FF6B00" },
{ label: "GraphRAG Win Rate", value: (data.graphragF1WinRate * 100).toFixed(0) + "%", color: "#5db872" },
{ label: "Samples Evaluated", value: data.numSamples.toString(), color: "#002B49" },
].map((m, i) => (
<div key={i} className="card-cream text-center" style={{ padding: "20px" }}>
<div className="metric-value-sm" style={{ color: m.color }}>{m.value}</div>
<div className="metric-label">{m.label}</div>
</div>
))}
</div>
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-6">
{/* Radar */}
{radarData.length > 0 && (
<div className="card">
<div className="title-md mb-4">Multi-Metric Radar</div>
<ResponsiveContainer width="100%" height={340}>
<RadarChart data={radarData}>
<PolarGrid stroke="#002B49" strokeOpacity={0.12} />
<PolarAngleAxis dataKey="metric" tick={{ fill: "#6c6a64", fontSize: 12 }} />
<Radar name="Baseline" dataKey="Baseline" stroke="#0072CE" fill="#0072CE" fillOpacity={0.15} strokeWidth={2} />
<Radar name="GraphRAG" dataKey="GraphRAG" stroke="#FF6B00" fill="#FF6B00" fillOpacity={0.15} strokeWidth={2} />
<Legend /><Tooltip contentStyle={{ background: "#faf9f5", border: "1px solid #e6dfd8", borderRadius: "8px" }} />
</RadarChart>
</ResponsiveContainer>
</div>
)}
{/* By Type */}
{typeData.length > 0 && (
<div className="card">
<div className="title-md mb-4">F1 by Question Type</div>
<ResponsiveContainer width="100%" height={340}>
<BarChart data={typeData} margin={{ top: 20, right: 20, left: 0, bottom: 0 }}>
<CartesianGrid strokeDasharray="3 3" stroke="#002B49" strokeOpacity={0.08} />
<XAxis dataKey="name" tick={{ fill: "#6c6a64", fontSize: 13 }} />
<YAxis domain={[0, 100]} tick={{ fill: "#6c6a64", fontSize: 12 }} />
<Tooltip contentStyle={{ background: "#faf9f5", border: "1px solid #e6dfd8", borderRadius: "8px" }} />
<Legend />
<Bar dataKey="Baseline" fill="#0072CE" radius={[4, 4, 0, 0]} />
<Bar dataKey="GraphRAG" fill="#FF6B00" radius={[4, 4, 0, 0]} />
</BarChart>
</ResponsiveContainer>
</div>
)}
</div>
{/* Detailed Table */}
<div className="card mb-6">
<div className="title-md mb-4">Detailed Comparison</div>
<div className="overflow-x-auto">
<table style={{ width: "100%", borderCollapse: "collapse", fontSize: "0.875rem" }}>
<thead>
<tr style={{ borderBottom: "2px solid var(--color-hairline)" }}>
{["Metric", "Baseline RAG", "GraphRAG", "Winner"].map(h => (
<th key={h} className="caption-uppercase text-left" style={{ padding: "12px 16px" }}>{h}</th>
))}
</tr>
</thead>
<tbody>
{[
{ metric: "Avg F1 Score", b: data.baseline.avgF1.toFixed(4), g: data.graphrag.avgF1.toFixed(4), winner: data.graphrag.avgF1 > data.baseline.avgF1 ? "graphrag" : "baseline" },
{ metric: "Avg Exact Match", b: data.baseline.avgEM.toFixed(4), g: data.graphrag.avgEM.toFixed(4), winner: data.graphrag.avgEM > data.baseline.avgEM ? "graphrag" : "baseline" },
{ metric: "Avg Tokens/Query", b: data.baseline.avgTokens.toString(), g: data.graphrag.avgTokens.toString(), winner: data.baseline.avgTokens < data.graphrag.avgTokens ? "baseline" : "graphrag" },
{ metric: "Avg Cost ($)", b: "$" + data.baseline.avgCost.toFixed(6), g: "$" + data.graphrag.avgCost.toFixed(6), winner: data.baseline.avgCost < data.graphrag.avgCost ? "baseline" : "graphrag" },
{ metric: "Avg Latency (ms)", b: data.baseline.avgLatency.toString(), g: data.graphrag.avgLatency.toString(), winner: data.baseline.avgLatency < data.graphrag.avgLatency ? "baseline" : "graphrag" },
{ metric: "F1 Win Rate", b: ((1 - data.graphragF1WinRate) * 100).toFixed(0) + "%", g: (data.graphragF1WinRate * 100).toFixed(0) + "%", winner: data.graphragF1WinRate > 0.5 ? "graphrag" : "baseline" },
].map((row, i) => (
<tr key={i} style={{ borderBottom: "1px solid var(--color-hairline-soft)" }}>
<td className="title-sm" style={{ padding: "12px 16px" }}>{row.metric}</td>
<td style={{ padding: "12px 16px", fontFamily: "var(--font-mono)", color: "#0072CE" }}>{row.b}</td>
<td style={{ padding: "12px 16px", fontFamily: "var(--font-mono)", color: "#FF6B00" }}>{row.g}</td>
<td style={{ padding: "12px 16px" }}>
<span className={row.winner === "graphrag" ? "badge-orange" : "badge-blue"} style={{ fontSize: "0.6875rem" }}>
{row.winner === "graphrag" ? "GraphRAG ✓" : "Baseline ✓"}
</span>
</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
</>
)}
{/* Report */}
{report && (
<div className="card-dark">
<div className="code-window-header">
<div className="code-window-dot code-window-dot-red" />
<div className="code-window-dot code-window-dot-yellow" />
<div className="code-window-dot code-window-dot-green" />
<span className="body-sm" style={{ color: "#a09d96", marginLeft: "8px" }}>benchmark_report.txt</span>
</div>
<pre className="code-window-body" style={{ whiteSpace: "pre-wrap", fontSize: "0.8125rem" }}>
{report}
</pre>
</div>
)}
</div>
);
}
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