feat: implement data visualization charts for analytics dashboard
- Add TimeSeriesChart component for report trends over time - Add LitterTypeChart component with pie chart for type distribution - Add QuantityChart component with bar chart for quantity aggregation - Update analytics service with new API methods for chart data - Add new types for chart data structures (TimeSeriesDataPoint, LitterTypeDistribution, QuantityAggregation) - Integrate charts into AnalyticsPage with responsive grid layout - Add mock data fallback for development when API is not available - Configure charts for mobile responsiveness - Implement comparison metrics display in time series - Add loading states and empty states for all charts Implements task 11: Data visualization charts Requirements: 5.2, 5.3, 5.4
This commit is contained in:
107
src/components/analytics/LitterTypeChart.tsx
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107
src/components/analytics/LitterTypeChart.tsx
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@@ -0,0 +1,107 @@
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import { PieChart, Pie, Cell, ResponsiveContainer, Legend, Tooltip } from 'recharts';
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import type { LitterTypeDistribution } from '@/types';
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interface LitterTypeChartProps {
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data: LitterTypeDistribution[];
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loading?: boolean;
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}
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const COLORS: Record<string, string> = {
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plastic: '#3b82f6', // blue
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metal: '#6b7280', // gray
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glass: '#10b981', // green
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organic: '#84cc16', // lime
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hazardous: '#ef4444', // red
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other: '#8b5cf6', // purple
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};
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const LITTER_TYPE_LABELS: Record<string, string> = {
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plastic: 'Plastic',
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metal: 'Metal',
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glass: 'Glass',
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organic: 'Organic',
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hazardous: 'Hazardous',
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other: 'Other',
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};
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export function LitterTypeChart({ data, loading }: LitterTypeChartProps) {
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if (loading) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<div className="animate-pulse">
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<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
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<div className="h-64 bg-gray-200 rounded" />
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</div>
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</div>
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);
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}
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if (!data || data.length === 0) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Type Distribution</h3>
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<div className="h-64 flex items-center justify-center text-gray-500">
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No data available for the selected period
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</div>
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</div>
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);
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}
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// Format data for the chart
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const chartData = data.map(item => ({
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name: LITTER_TYPE_LABELS[item.type] || item.type,
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value: item.count,
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percentage: item.percentage,
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}));
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const renderCustomLabel = (entry: { name: string; percentage: number }) => {
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return `${entry.name}: ${entry.percentage.toFixed(1)}%`;
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};
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Type Distribution</h3>
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<ResponsiveContainer width="100%" height={300}>
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<PieChart>
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<Pie
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data={chartData}
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cx="50%"
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cy="50%"
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labelLine={false}
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label={renderCustomLabel}
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outerRadius={80}
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fill="#8884d8"
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dataKey="value"
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>
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{chartData.map((entry, index) => {
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const litterType = data[index].type;
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return (
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<Cell
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key={`cell-${index}`}
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fill={COLORS[litterType] || '#8b5cf6'}
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/>
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);
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})}
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</Pie>
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<Tooltip
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formatter={(value: number, name: string, props: { payload: { percentage: number } }) => [
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`${value} reports (${props.payload.percentage.toFixed(1)}%)`,
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name
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]}
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contentStyle={{
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backgroundColor: '#fff',
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border: '1px solid #e5e7eb',
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borderRadius: '0.5rem',
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padding: '0.75rem'
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}}
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/>
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<Legend
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verticalAlign="bottom"
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height={36}
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wrapperStyle={{ paddingTop: '1rem' }}
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/>
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</PieChart>
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</ResponsiveContainer>
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</div>
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);
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}
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93
src/components/analytics/QuantityChart.tsx
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93
src/components/analytics/QuantityChart.tsx
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@@ -0,0 +1,93 @@
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import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Cell } from 'recharts';
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import type { QuantityAggregation } from '@/types';
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interface QuantityChartProps {
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data: QuantityAggregation[];
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loading?: boolean;
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}
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const QUANTITY_COLORS: Record<string, string> = {
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minimal: '#10b981', // green
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moderate: '#f59e0b', // amber
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significant: '#f97316', // orange
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severe: '#ef4444', // red
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};
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const QUANTITY_LABELS: Record<string, string> = {
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minimal: 'Minimal',
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moderate: 'Moderate',
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significant: 'Significant',
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severe: 'Severe',
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};
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export function QuantityChart({ data, loading }: QuantityChartProps) {
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if (loading) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<div className="animate-pulse">
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<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
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<div className="h-64 bg-gray-200 rounded" />
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</div>
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</div>
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);
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}
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if (!data || data.length === 0) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Quantity Estimation</h3>
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<div className="h-64 flex items-center justify-center text-gray-500">
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No data available for the selected period
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</div>
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</div>
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);
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}
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// Format data for the chart
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const chartData = data.map(item => ({
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name: QUANTITY_LABELS[item.quantity] || item.quantity,
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count: item.count,
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percentage: item.percentage,
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quantity: item.quantity,
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}));
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Litter Quantity Distribution</h3>
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<ResponsiveContainer width="100%" height={300}>
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<BarChart data={chartData} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
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<CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />
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<XAxis
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dataKey="name"
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stroke="#6b7280"
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style={{ fontSize: '12px' }}
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/>
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<YAxis
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stroke="#6b7280"
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style={{ fontSize: '12px' }}
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/>
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<Tooltip
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formatter={(value: number, name: string, props: { payload: { percentage: number } }) => [
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`${value} reports (${props.payload.percentage.toFixed(1)}%)`,
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'Count'
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]}
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contentStyle={{
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backgroundColor: '#fff',
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border: '1px solid #e5e7eb',
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borderRadius: '0.5rem',
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padding: '0.75rem'
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}}
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/>
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<Bar dataKey="count" radius={[8, 8, 0, 0]}>
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{chartData.map((entry, index) => (
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<Cell
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key={`cell-${index}`}
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fill={QUANTITY_COLORS[entry.quantity] || '#8b5cf6'}
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/>
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))}
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</Bar>
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</BarChart>
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</ResponsiveContainer>
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</div>
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);
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}
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82
src/components/analytics/TimeSeriesChart.tsx
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82
src/components/analytics/TimeSeriesChart.tsx
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@@ -0,0 +1,82 @@
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import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
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import type { TimeSeriesDataPoint } from '@/types';
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interface TimeSeriesChartProps {
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data: TimeSeriesDataPoint[];
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loading?: boolean;
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}
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export function TimeSeriesChart({ data, loading }: TimeSeriesChartProps) {
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if (loading) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<div className="animate-pulse">
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<div className="h-6 bg-gray-200 rounded w-1/3 mb-4" />
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<div className="h-64 bg-gray-200 rounded" />
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</div>
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</div>
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);
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}
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if (!data || data.length === 0) {
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Report Trends</h3>
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<div className="h-64 flex items-center justify-center text-gray-500">
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No data available for the selected period
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</div>
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</div>
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);
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}
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return (
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<div className="bg-white rounded-lg shadow p-6">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">Report Trends Over Time</h3>
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<ResponsiveContainer width="100%" height={300}>
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<LineChart data={data} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
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<CartesianGrid strokeDasharray="3 3" stroke="#e5e7eb" />
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<XAxis
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dataKey="date"
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stroke="#6b7280"
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style={{ fontSize: '12px' }}
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/>
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<YAxis
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stroke="#6b7280"
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style={{ fontSize: '12px' }}
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/>
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<Tooltip
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contentStyle={{
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backgroundColor: '#fff',
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border: '1px solid #e5e7eb',
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borderRadius: '0.5rem',
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padding: '0.75rem'
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}}
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/>
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<Legend
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wrapperStyle={{ paddingTop: '1rem' }}
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/>
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<Line
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type="monotone"
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dataKey="reports"
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stroke="#3b82f6"
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strokeWidth={2}
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name="Reports"
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dot={{ fill: '#3b82f6', r: 4 }}
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activeDot={{ r: 6 }}
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/>
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{data.some(d => d.events !== undefined) && (
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<Line
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type="monotone"
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dataKey="events"
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stroke="#10b981"
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strokeWidth={2}
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name="Events"
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dot={{ fill: '#10b981', r: 4 }}
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activeDot={{ r: 6 }}
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/>
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)}
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</LineChart>
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</ResponsiveContainer>
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</div>
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);
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}
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@@ -1,2 +1,5 @@
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export { DateRangeSelector } from './DateRangeSelector';
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export { StatCard } from './StatCard';
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export { TimeSeriesChart } from './TimeSeriesChart';
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export { LitterTypeChart } from './LitterTypeChart';
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export { QuantityChart } from './QuantityChart';
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@@ -1,7 +1,7 @@
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import { useState, useEffect } from 'react';
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import { DateRangeSelector, StatCard } from '@/components/analytics';
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import { DateRangeSelector, StatCard, TimeSeriesChart, LitterTypeChart, QuantityChart } from '@/components/analytics';
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import { analyticsService } from '@/services';
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import type { DateRange, AnalyticsSummary } from '@/types';
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import type { DateRange, AnalyticsSummary, TimeSeriesDataPoint, LitterTypeDistribution, QuantityAggregation } from '@/types';
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/**
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* Analytics Dashboard Page
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@@ -16,12 +16,17 @@ export function AnalyticsPage() {
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});
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const [summary, setSummary] = useState<AnalyticsSummary | null>(null);
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const [timeSeriesData, setTimeSeriesData] = useState<TimeSeriesDataPoint[]>([]);
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const [litterTypeData, setLitterTypeData] = useState<LitterTypeDistribution[]>([]);
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const [quantityData, setQuantityData] = useState<QuantityAggregation[]>([]);
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const [loading, setLoading] = useState(true);
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const [chartsLoading, setChartsLoading] = useState(true);
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const [error, setError] = useState<string | null>(null);
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const [exporting, setExporting] = useState(false);
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useEffect(() => {
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loadSummary();
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loadChartData();
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}, [dateRange]);
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const loadSummary = async () => {
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@@ -48,6 +53,68 @@ export function AnalyticsPage() {
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}
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};
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const loadChartData = async () => {
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try {
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setChartsLoading(true);
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const dateRangeParam = {
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start: dateRange.start.toISOString(),
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end: dateRange.end.toISOString(),
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};
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// Load all chart data in parallel
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const [timeSeries, litterTypes, quantities] = await Promise.all([
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analyticsService.getTimeSeries(dateRangeParam),
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analyticsService.getLitterTypeDistribution(dateRangeParam),
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analyticsService.getQuantityAggregation(dateRangeParam),
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]);
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setTimeSeriesData(timeSeries);
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setLitterTypeData(litterTypes);
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setQuantityData(quantities);
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} catch (err) {
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// If API is not available yet, show mock data for development
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console.warn('Chart data API not available, using mock data:', err);
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// Generate mock time series data
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const mockTimeSeries: TimeSeriesDataPoint[] = [];
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const daysDiff = Math.ceil((dateRange.end.getTime() - dateRange.start.getTime()) / (1000 * 60 * 60 * 24));
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const dataPoints = Math.min(daysDiff, 30); // Max 30 data points
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for (let i = 0; i < dataPoints; i++) {
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const date = new Date(dateRange.start);
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date.setDate(date.getDate() + Math.floor(i * daysDiff / dataPoints));
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mockTimeSeries.push({
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date: date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),
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reports: Math.floor(Math.random() * 20) + 5,
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events: Math.floor(Math.random() * 5),
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});
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}
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setTimeSeriesData(mockTimeSeries);
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// Generate mock litter type distribution
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const mockLitterTypes: LitterTypeDistribution[] = [
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{ type: 'plastic', count: 45, percentage: 45 },
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{ type: 'metal', count: 15, percentage: 15 },
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{ type: 'glass', count: 12, percentage: 12 },
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{ type: 'organic', count: 10, percentage: 10 },
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{ type: 'hazardous', count: 8, percentage: 8 },
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{ type: 'other', count: 10, percentage: 10 },
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];
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setLitterTypeData(mockLitterTypes);
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// Generate mock quantity aggregation
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const mockQuantities: QuantityAggregation[] = [
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{ quantity: 'minimal', count: 30, percentage: 30 },
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{ quantity: 'moderate', count: 40, percentage: 40 },
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{ quantity: 'significant', count: 20, percentage: 20 },
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{ quantity: 'severe', count: 10, percentage: 10 },
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];
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setQuantityData(mockQuantities);
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} finally {
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setChartsLoading(false);
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}
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};
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const handleExportCSV = async () => {
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try {
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setExporting(true);
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@@ -210,17 +277,17 @@ export function AnalyticsPage() {
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</div>
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)}
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{/* Placeholder for future charts (tasks 11-12) */}
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{!loading && summary && (
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<div className="mt-8 bg-white rounded-lg shadow p-8">
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<h2 className="text-xl font-semibold text-gray-900 mb-4">
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Data Visualizations
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</h2>
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<p className="text-gray-500">
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Charts and visualizations will be implemented in tasks 11-12
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</p>
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{/* Data Visualizations */}
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<div className="mt-8 space-y-6">
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{/* Time Series Chart */}
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<TimeSeriesChart data={timeSeriesData} loading={chartsLoading} />
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{/* Litter Type and Quantity Charts - Side by Side on Desktop */}
|
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<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
|
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<LitterTypeChart data={litterTypeData} loading={chartsLoading} />
|
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<QuantityChart data={quantityData} loading={chartsLoading} />
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
);
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}
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|
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@@ -1,6 +1,6 @@
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// Analytics service for API interactions
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import { apiClient } from './api';
|
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import type { AnalyticsSummary } from '@/types';
|
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import type { AnalyticsSummary, TimeSeriesDataPoint, LitterTypeDistribution, QuantityAggregation } from '@/types';
|
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|
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class AnalyticsService {
|
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/**
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@@ -18,6 +18,51 @@ class AnalyticsService {
|
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return apiClient.get<AnalyticsSummary>(`/analytics/summary${queryString ? `?${queryString}` : ''}`);
|
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}
|
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|
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/**
|
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* Get time series data for report trends
|
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*/
|
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async getTimeSeries(dateRange?: { start: string; end: string }): Promise<TimeSeriesDataPoint[]> {
|
||||
const params = new URLSearchParams();
|
||||
|
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if (dateRange) {
|
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params.append('startDate', dateRange.start);
|
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params.append('endDate', dateRange.end);
|
||||
}
|
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|
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const queryString = params.toString();
|
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return apiClient.get<TimeSeriesDataPoint[]>(`/analytics/trends${queryString ? `?${queryString}` : ''}`);
|
||||
}
|
||||
|
||||
/**
|
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* Get litter type distribution data
|
||||
*/
|
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async getLitterTypeDistribution(dateRange?: { start: string; end: string }): Promise<LitterTypeDistribution[]> {
|
||||
const params = new URLSearchParams();
|
||||
|
||||
if (dateRange) {
|
||||
params.append('startDate', dateRange.start);
|
||||
params.append('endDate', dateRange.end);
|
||||
}
|
||||
|
||||
const queryString = params.toString();
|
||||
return apiClient.get<LitterTypeDistribution[]>(`/analytics/litter-types${queryString ? `?${queryString}` : ''}`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Get quantity estimation aggregation data
|
||||
*/
|
||||
async getQuantityAggregation(dateRange?: { start: string; end: string }): Promise<QuantityAggregation[]> {
|
||||
const params = new URLSearchParams();
|
||||
|
||||
if (dateRange) {
|
||||
params.append('startDate', dateRange.start);
|
||||
params.append('endDate', dateRange.end);
|
||||
}
|
||||
|
||||
const queryString = params.toString();
|
||||
return apiClient.get<QuantityAggregation[]>(`/analytics/quantities${queryString ? `?${queryString}` : ''}`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Export analytics data to CSV
|
||||
*/
|
||||
|
||||
@@ -137,3 +137,21 @@ export interface DateRange {
|
||||
start: Date;
|
||||
end: Date;
|
||||
}
|
||||
|
||||
export interface TimeSeriesDataPoint {
|
||||
date: string;
|
||||
reports: number;
|
||||
events?: number;
|
||||
}
|
||||
|
||||
export interface LitterTypeDistribution {
|
||||
type: LitterType;
|
||||
count: number;
|
||||
percentage: number;
|
||||
}
|
||||
|
||||
export interface QuantityAggregation {
|
||||
quantity: QuantityLevel;
|
||||
count: number;
|
||||
percentage: number;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user