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Enhances dashboard with new metrics and charts
Improves the dashboard with additional metrics and visualizations to provide a more comprehensive overview of application usage and performance. Adds new charts, including: - Word cloud for category analysis - Geographic map for user distribution (simulated data) - Response time distribution chart Refactors existing components for improved clarity and reusability, including the introduction of a generic `MetricCard` component. Improves error handling and user feedback during data refresh and session loading. Adds recommended VSCode extensions for ESLint and Prettier.
This commit is contained in:
133
components/DonutChart.tsx
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133
components/DonutChart.tsx
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"use client";
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import { useRef, useEffect } from "react";
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import Chart from "chart.js/auto";
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interface DonutChartProps {
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data: {
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labels: string[];
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values: number[];
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colors?: string[];
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};
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centerText?: {
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title?: string;
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value?: string | number;
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};
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}
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export default function DonutChart({ data, centerText }: DonutChartProps) {
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const ref = useRef<HTMLCanvasElement | null>(null);
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useEffect(() => {
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if (!ref.current || !data.values.length) return;
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const ctx = ref.current.getContext("2d");
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if (!ctx) return;
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// Default colors if not provided
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const defaultColors: string[] = [
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"rgba(59, 130, 246, 0.8)", // blue
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"rgba(16, 185, 129, 0.8)", // green
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"rgba(249, 115, 22, 0.8)", // orange
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"rgba(236, 72, 153, 0.8)", // pink
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"rgba(139, 92, 246, 0.8)", // purple
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"rgba(107, 114, 128, 0.8)", // gray
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];
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const colors: string[] = data.colors || defaultColors;
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// Helper to create an array of colors based on the data length
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const getColors = () => {
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const result: string[] = [];
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for (let i = 0; i < data.values.length; i++) {
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result.push(colors[i % colors.length]);
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}
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return result;
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};
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const chart = new Chart(ctx, {
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type: "doughnut",
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data: {
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labels: data.labels,
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datasets: [
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{
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data: data.values,
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backgroundColor: getColors(),
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borderWidth: 1,
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hoverOffset: 5,
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},
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],
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},
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options: {
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responsive: true,
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maintainAspectRatio: true,
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cutout: "70%",
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plugins: {
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legend: {
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position: "right",
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labels: {
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boxWidth: 12,
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padding: 20,
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usePointStyle: true,
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},
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},
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tooltip: {
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callbacks: {
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label: function (context) {
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const label = context.label || "";
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const value = context.formattedValue;
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const total = context.chart.data.datasets[0].data.reduce(
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(a: number, b: any) => a + (typeof b === "number" ? b : 0),
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0
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);
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const percentage = Math.round((context.parsed * 100) / total);
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return `${label}: ${value} (${percentage}%)`;
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},
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},
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},
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},
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},
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plugins: centerText
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? [
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{
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id: "centerText",
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beforeDraw: function (chart: any) {
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const width = chart.width;
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const height = chart.height;
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const ctx = chart.ctx;
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ctx.restore();
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// Title text
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if (centerText.title) {
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ctx.font = "14px Arial";
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ctx.fillStyle = "#6B7280"; // text-gray-500
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ctx.textBaseline = "middle";
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ctx.textAlign = "center";
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ctx.fillText(centerText.title, width / 2, height / 2 - 10);
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}
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// Value text
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if (centerText.value !== undefined) {
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ctx.font = "bold 20px Arial";
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ctx.fillStyle = "#111827"; // text-gray-900
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ctx.textBaseline = "middle";
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ctx.textAlign = "center";
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ctx.fillText(
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String(centerText.value),
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width / 2,
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height / 2 + 10
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);
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}
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ctx.save();
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},
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},
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]
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: [],
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});
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return () => chart.destroy();
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}, [data, centerText]);
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return <canvas ref={ref} height={300} />;
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}
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