Files
openproxy/dashboard/components/TrendsChart.tsx
Claude b88fc8ead7 feat: add Next.js metrics dashboard for real-time visualization
Add a lightweight Next.js dashboard to visualize OpenProxy metrics in real-time. The dashboard provides comprehensive insights into LLM API usage, costs, and performance.

Features:
- Real-time metrics overview (requests, tokens, costs, response times)
- Model breakdown with usage statistics
- Hourly trends visualization with charts
- Recent requests table with detailed information
- Auto-refresh every 30 seconds
- Configurable time ranges (1h, 6h, 24h, 7d)

Technical details:
- Built with Next.js 14 and React 18
- Uses Recharts for data visualization
- Connects directly to PostgreSQL database
- Runs on port 3008 by default
- TypeScript for type safety
- Minimal dependencies for lightweight deployment

The dashboard complements the proxy server by providing a user-friendly interface for monitoring and analyzing LLM API usage patterns.
2025-11-19 00:04:28 +00:00

161 lines
4.3 KiB
TypeScript

'use client';
import {
LineChart,
Line,
XAxis,
YAxis,
CartesianGrid,
Tooltip,
Legend,
ResponsiveContainer,
} from 'recharts';
interface TrendsChartProps {
trends: {
hour: string;
requests: string;
tokens: string;
cost: string;
avg_response_time: string;
}[];
}
export default function TrendsChart({ trends }: TrendsChartProps) {
if (!trends || trends.length === 0) {
return (
<div style={styles.container}>
<h2 style={styles.title}>Hourly Trends</h2>
<div style={styles.card}>
<p style={styles.noData}>No trend data available</p>
</div>
</div>
);
}
const chartData = trends.map((trend) => ({
time: new Date(trend.hour).toLocaleString('en-US', {
month: 'short',
day: 'numeric',
hour: '2-digit',
}),
requests: parseInt(trend.requests),
tokens: parseInt(trend.tokens),
cost: parseFloat(trend.cost),
responseTime: Math.round(parseFloat(trend.avg_response_time)),
}));
return (
<div style={styles.container}>
<h2 style={styles.title}>Hourly Trends</h2>
<div style={styles.card}>
<div style={styles.chartContainer}>
<h3 style={styles.chartTitle}>Requests & Response Time</h3>
<ResponsiveContainer width="100%" height={300}>
<LineChart data={chartData}>
<CartesianGrid strokeDasharray="3 3" stroke="#e0e0e0" />
<XAxis dataKey="time" stroke="#7f8c8d" fontSize={12} />
<YAxis yAxisId="left" stroke="#3498db" fontSize={12} />
<YAxis yAxisId="right" orientation="right" stroke="#e74c3c" fontSize={12} />
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #ddd',
borderRadius: '4px',
}}
/>
<Legend />
<Line
yAxisId="left"
type="monotone"
dataKey="requests"
stroke="#3498db"
strokeWidth={2}
name="Requests"
dot={{ r: 3 }}
/>
<Line
yAxisId="right"
type="monotone"
dataKey="responseTime"
stroke="#e74c3c"
strokeWidth={2}
name="Avg Response Time (ms)"
dot={{ r: 3 }}
/>
</LineChart>
</ResponsiveContainer>
</div>
<div style={styles.chartContainer}>
<h3 style={styles.chartTitle}>Tokens & Cost</h3>
<ResponsiveContainer width="100%" height={300}>
<LineChart data={chartData}>
<CartesianGrid strokeDasharray="3 3" stroke="#e0e0e0" />
<XAxis dataKey="time" stroke="#7f8c8d" fontSize={12} />
<YAxis yAxisId="left" stroke="#9b59b6" fontSize={12} />
<YAxis yAxisId="right" orientation="right" stroke="#27ae60" fontSize={12} />
<Tooltip
contentStyle={{
backgroundColor: '#fff',
border: '1px solid #ddd',
borderRadius: '4px',
}}
/>
<Legend />
<Line
yAxisId="left"
type="monotone"
dataKey="tokens"
stroke="#9b59b6"
strokeWidth={2}
name="Tokens"
dot={{ r: 3 }}
/>
<Line
yAxisId="right"
type="monotone"
dataKey="cost"
stroke="#27ae60"
strokeWidth={2}
name="Cost ($)"
dot={{ r: 3 }}
/>
</LineChart>
</ResponsiveContainer>
</div>
</div>
</div>
);
}
const styles = {
container: {
marginBottom: '2rem',
},
title: {
fontSize: '1.5rem',
marginBottom: '1.5rem',
color: '#2c3e50',
},
card: {
backgroundColor: '#fff',
borderRadius: '8px',
boxShadow: '0 2px 4px rgba(0,0,0,0.1)',
padding: '1.5rem',
},
chartContainer: {
marginBottom: '2rem',
},
chartTitle: {
fontSize: '1.1rem',
marginBottom: '1rem',
color: '#2c3e50',
},
noData: {
padding: '2rem',
textAlign: 'center' as const,
color: '#7f8c8d',
},
};