343 lines
No EOL
17 KiB
TypeScript
343 lines
No EOL
17 KiB
TypeScript
import React from 'react'
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import * as z from "zod";
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import { ChartContainer, ChartTooltip, ChartTooltipContent, ChartLegend, ChartLegendContent } from "@/components/ui/chart";
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import { BarChart, Bar, LineChart, Line, PieChart, Pie, AreaChart, Area, ScatterChart, Scatter, XAxis, YAxis, CartesianGrid, Cell, ResponsiveContainer } from "recharts";
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export const layoutId = 'chart-table-slide'
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export const layoutName = 'Chart + Table Slide'
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export const layoutDescription = 'A layout for displaying data visualization alongside detailed tabular data for comprehensive analysis.'
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const chartDataSchema = z.object({
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name: z.string().meta({ description: "Data point name" }),
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value: z.number().meta({ description: "Data point value" }),
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category: z.string().optional().meta({ description: "Category for grouping" }),
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x: z.number().optional().meta({ description: "X coordinate for scatter plots" }),
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y: z.number().optional().meta({ description: "Y coordinate for scatter plots" }),
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});
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const tableRowSchema = z.object({
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metric: z.string().meta({ description: "Metric name" }),
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value: z.string().meta({ description: "Metric value" }),
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change: z.string().optional().meta({ description: "Change percentage or indicator" }),
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status: z.string().optional().meta({ description: "Status or category" }),
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});
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const chartTableSlideSchema = z.object({
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title: z.string().min(3).max(100).default('Revenue Analysis & Breakdown').meta({
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description: "Main title of the slide",
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}),
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description: z.string().min(10).max(300).default('This comprehensive analysis combines visual trends with detailed metrics, providing both high-level insights and granular data for informed decision-making.').meta({
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description: "Bottom description text",
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}),
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chartType: z.enum(['bar', 'line', 'pie', 'area', 'scatter']).default('bar').meta({
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description: "Type of chart to display",
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}),
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chartData: z.array(chartDataSchema).min(2).max(10).default([
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{ name: 'Q1', value: 4000 },
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{ name: 'Q2', value: 3000 },
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{ name: 'Q3', value: 5000 },
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{ name: 'Q4', value: 4500 },
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]).meta({
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description: "Chart data points",
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}),
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tableData: z.array(tableRowSchema).min(3).max(15).default([
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{ metric: 'Total Revenue', value: '$16.5M', change: '+12.5%', status: 'Growth' },
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{ metric: 'Q1 Revenue', value: '$4.0M', change: '+8.2%', status: 'Stable' },
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{ metric: 'Q2 Revenue', value: '$3.0M', change: '-15.3%', status: 'Decline' },
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{ metric: 'Q3 Revenue', value: '$5.0M', change: '+25.8%', status: 'Growth' },
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{ metric: 'Q4 Revenue', value: '$4.5M', change: '+18.4%', status: 'Growth' },
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{ metric: 'Average Deal Size', value: '$125K', change: '+5.2%', status: 'Stable' },
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{ metric: 'Customer Count', value: '132', change: '+22.1%', status: 'Growth' },
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{ metric: 'Market Share', value: '18.3%', change: '+3.1%', status: 'Growth' },
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{ metric: 'Conversion Rate', value: '24.7%', change: '+1.8%', status: 'Stable' },
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{ metric: 'Customer Churn', value: '5.2%', change: '-2.1%', status: 'Improvement' },
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]).meta({
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description: "Table data rows",
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}),
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chartColor: z.string().default('#3b82f6').meta({
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description: "Primary color for chart elements",
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}),
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dataKey: z.string().default('value').meta({
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description: "Key field for chart values",
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}),
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categoryKey: z.string().default('name').meta({
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description: "Key field for chart categories",
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}),
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showLegend: z.boolean().default(false).meta({
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description: "Whether to show chart legend",
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}),
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showTooltip: z.boolean().default(true).meta({
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description: "Whether to show chart tooltip",
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}),
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})
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export const Schema = chartTableSlideSchema
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export type ChartTableSlideData = z.infer<typeof chartTableSlideSchema>
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interface ChartTableSlideLayoutProps {
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data?: Partial<ChartTableSlideData>
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}
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const chartConfig = {
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value: {
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label: "Value",
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},
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name: {
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label: "Name",
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},
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};
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const CHART_COLORS = [
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'#3b82f6', '#ef4444', '#10b981', '#f59e0b', '#8b5cf6',
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'#06b6d4', '#84cc16', '#f97316', '#ec4899', '#6366f1'
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];
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const ChartTableSlideLayout: React.FC<ChartTableSlideLayoutProps> = ({ data: slideData }) => {
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const chartData = slideData?.chartData || [];
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const tableData = slideData?.tableData || [];
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const chartType = slideData?.chartType || 'bar';
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const chartColor = slideData?.chartColor || '#3b82f6';
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const dataKey = slideData?.dataKey || 'value';
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const categoryKey = slideData?.categoryKey || 'name';
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const showLegend = slideData?.showLegend || false;
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const showTooltip = slideData?.showTooltip || true;
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const renderChart = () => {
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const commonProps = {
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data: chartData,
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margin: { top: 20, right: 20, left: 20, bottom: 40 },
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};
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switch (chartType) {
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case 'bar':
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return (
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<BarChart {...commonProps}>
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<CartesianGrid strokeDasharray="3 3" />
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<XAxis dataKey={categoryKey} />
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<YAxis />
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{showTooltip && <ChartTooltip content={<ChartTooltipContent />} />}
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{showLegend && <ChartLegend content={<ChartLegendContent />} />}
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<Bar dataKey={dataKey} fill={chartColor} radius={[4, 4, 0, 0]} />
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</BarChart>
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);
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case 'line':
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return (
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<LineChart {...commonProps}>
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<CartesianGrid strokeDasharray="3 3" />
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<XAxis dataKey={categoryKey} />
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<YAxis />
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{showTooltip && <ChartTooltip content={<ChartTooltipContent />} />}
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{showLegend && <ChartLegend content={<ChartLegendContent />} />}
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<Line
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type="monotone"
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dataKey={dataKey}
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stroke={chartColor}
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strokeWidth={3}
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dot={{ fill: chartColor, strokeWidth: 2, r: 4 }}
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/>
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</LineChart>
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);
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case 'area':
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return (
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<AreaChart {...commonProps}>
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<CartesianGrid strokeDasharray="3 3" />
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<XAxis dataKey={categoryKey} />
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<YAxis />
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{showTooltip && <ChartTooltip content={<ChartTooltipContent />} />}
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{showLegend && <ChartLegend content={<ChartLegendContent />} />}
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<Area
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type="monotone"
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dataKey={dataKey}
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stroke={chartColor}
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fill={chartColor}
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fillOpacity={0.6}
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/>
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</AreaChart>
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);
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case 'pie':
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return (
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<PieChart margin={{ top: 20, right: 20, left: 20, bottom: 40 }}>
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{showTooltip && <ChartTooltip content={<ChartTooltipContent />} />}
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{showLegend && <ChartLegend content={<ChartLegendContent />} />}
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<Pie
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data={chartData}
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cx="50%"
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cy="45%"
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outerRadius={70}
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fill={chartColor}
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dataKey={dataKey}
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label={({ name, percent }) => `${name} ${(percent * 100).toFixed(0)}%`}
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>
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{chartData.map((entry, index) => (
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<Cell key={`cell-${index}`} fill={CHART_COLORS[index % CHART_COLORS.length]} />
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))}
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</Pie>
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</PieChart>
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);
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case 'scatter':
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return (
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<ScatterChart {...commonProps}>
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<CartesianGrid strokeDasharray="3 3" />
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<XAxis dataKey="x" type="number" />
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<YAxis dataKey="y" type="number" />
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{showTooltip && <ChartTooltip content={<ChartTooltipContent />} />}
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{showLegend && <ChartLegend content={<ChartLegendContent />} />}
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<Scatter dataKey="value" fill={chartColor} />
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</ScatterChart>
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);
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default:
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return <div>Unsupported chart type</div>;
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}
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};
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const getStatusColor = (status: string) => {
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switch (status?.toLowerCase()) {
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case 'growth':
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return 'text-green-600';
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case 'decline':
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return 'text-red-600';
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case 'stable':
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return 'text-blue-600';
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case 'improvement':
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return 'text-emerald-600';
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default:
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return 'text-gray-600';
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}
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};
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return (
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<>
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{/* Import Google Fonts */}
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<link
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href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&family=Nunito:wght@400;500;600;700&display=swap"
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rel="stylesheet"
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/>
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<div
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className="w-full rounded-sm max-w-[1280px] shadow-md h-[720px] flex flex-col aspect-video bg-stone-100 relative z-20 mx-auto overflow-hidden"
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style={{
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fontFamily: 'Nunito, sans-serif'
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}}
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>
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{/* Glass overlay background */}
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<div className="absolute inset-0 bg-white/20 backdrop-blur-sm rounded-sm border border-slate-200"></div>
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<div className="relative z-10 flex flex-col w-full h-full p-4 sm:p-6 lg:p-8">
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{/* Header section */}
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<div className="flex-shrink-0 h-12 sm:h-16 flex items-center justify-center">
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<h1
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className="text-3xl font-bold text-gray-900 leading-tight text-center"
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style={{
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fontFamily: 'Space Grotesk, sans-serif'
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}}
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>
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{slideData?.title || 'Revenue Analysis & Breakdown'}
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</h1>
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</div>
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{/* Chart and Table section */}
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<div className="flex-1 w-full overflow-hidden">
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<div className="flex gap-6 h-full">
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{/* Chart section - Left side */}
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<div className="w-1/2 h-full">
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<div className="bg-white/30 backdrop-blur-sm rounded-xl border border-slate-200 shadow-md p-4 sm:p-6 h-full overflow-hidden">
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<ChartContainer config={chartConfig} className="h-full w-full max-h-[400px] sm:max-h-[420px] lg:max-h-[440px]">
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{renderChart()}
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</ChartContainer>
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</div>
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</div>
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{/* Table section - Right side */}
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<div className="w-1/2 h-full">
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<div className="bg-white/30 backdrop-blur-sm rounded-xl border border-slate-200 shadow-md p-4 sm:p-6 h-full overflow-hidden">
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<div className="overflow-y-auto max-h-[360px] sm:max-h-[420px] lg:max-h-[440px]">
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<table className="w-full">
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<thead className="border-t border-b border-gray-300">
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<tr>
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<th
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className="text-left py-3 px-2 text-sm font-semibold text-gray-900"
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style={{ fontFamily: 'Space Grotesk, sans-serif' }}
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>
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Metric
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</th>
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<th
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className="text-right py-3 px-2 text-sm font-semibold text-gray-900"
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style={{ fontFamily: 'Space Grotesk, sans-serif' }}
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>
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Value
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</th>
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<th
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className="text-right py-3 px-2 text-sm font-semibold text-gray-900"
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style={{ fontFamily: 'Space Grotesk, sans-serif' }}
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>
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Change
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</th>
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<th
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className="text-center py-3 px-2 text-sm font-semibold text-gray-900"
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style={{ fontFamily: 'Space Grotesk, sans-serif' }}
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>
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Status
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</th>
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</tr>
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</thead>
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<tbody>
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{tableData.map((row, index) => (
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<tr key={index} className="border-b border-gray-200 hover:bg-white/20">
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<td
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className="py-2 px-2 text-sm text-gray-700"
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style={{ fontFamily: 'Nunito, sans-serif' }}
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>
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{row.metric}
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</td>
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<td
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className="py-2 px-2 text-sm text-gray-900 text-right font-medium"
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style={{ fontFamily: 'Nunito, sans-serif' }}
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>
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{row.value}
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</td>
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<td
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className="py-2 px-2 text-sm text-right"
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style={{ fontFamily: 'Nunito, sans-serif' }}
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>
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{row.change}
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</td>
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<td
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className={`py-2 px-2 text-sm text-center font-medium ${getStatusColor(row.status || '')}`}
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style={{ fontFamily: 'Nunito, sans-serif' }}
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>
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{row.status}
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</td>
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</tr>
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))}
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</tbody>
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</table>
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</div>
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</div>
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</div>
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</div>
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</div>
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{/* Bottom Description section */}
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<div className="flex-shrink-0 h-16 sm:h-20 flex items-center justify-center">
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<p
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className="text-sm sm:text-base text-center text-gray-700 leading-relaxed max-w-4xl px-4"
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style={{
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fontFamily: 'Nunito, sans-serif'
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}}
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>
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{slideData?.description || 'This comprehensive analysis combines visual trends with detailed metrics, providing both high-level insights and granular data for informed decision-making.'}
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</p>
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</div>
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</div>
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</div>
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</>
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)
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}
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export default ChartTableSlideLayout
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