import React, { useState, useEffect, useMemo } from 'react';
import {
  Card,
  Select,
  Button,
  Badge,
  Tooltip
} from '../../ui';
import { 
  SalesAnalytics,
  DailyTrend,
  ProductPerformance,
  PeriodType
} from '../../../types/sales.types';
import { salesService } from '../../../api/services/sales.service';
import { useSales } from '../../../hooks/api/useSales';

interface SalesChartProps {
  tenantId?: string;
  initialPeriod?: PeriodType;
  showExport?: boolean;
  className?: string;
}

interface ChartData {
  labels: string[];
  datasets: ChartDataset[];
}

interface ChartDataset {
  label: string;
  data: number[];
  backgroundColor?: string;
  borderColor?: string;
  borderWidth?: number;
  fill?: boolean;
  tension?: number;
}

enum ChartType {
  LINE = 'line',
  BAR = 'bar',
  PIE = 'pie',
  AREA = 'area'
}

enum MetricType {
  REVENUE = 'revenue',
  ORDERS = 'orders',
  AVERAGE_ORDER = 'average_order',
  TOP_PRODUCTS = 'top_products',
  CHANNELS = 'channels',
  HOURLY = 'hourly'
}

const ChartTypeLabels = {
  [ChartType.LINE]: 'Líneas',
  [ChartType.BAR]: 'Barras',
  [ChartType.PIE]: 'Circular',
  [ChartType.AREA]: 'Área'
};

const MetricLabels = {
  [MetricType.REVENUE]: 'Ingresos',
  [MetricType.ORDERS]: 'Pedidos',
  [MetricType.AVERAGE_ORDER]: 'Ticket Promedio',
  [MetricType.TOP_PRODUCTS]: 'Productos Top',
  [MetricType.CHANNELS]: 'Canales de Venta',
  [MetricType.HOURLY]: 'Patrones Horarios'
};

const PeriodLabels = {
  [PeriodType.DAILY]: 'Diario',
  [PeriodType.WEEKLY]: 'Semanal',
  [PeriodType.MONTHLY]: 'Mensual',
  [PeriodType.QUARTERLY]: 'Trimestral',
  [PeriodType.YEARLY]: 'Anual'
};

const Colors = {
  primary: '#3B82F6',
  secondary: '#10B981',
  tertiary: '#F59E0B',
  quaternary: '#EF4444',
  background: '#F3F4F6',
  text: '#1F2937',
  grid: '#E5E7EB'
};

export const SalesChart: React.FC<SalesChartProps> = ({
  tenantId,
  initialPeriod = PeriodType.MONTHLY,
  showExport = true,
  className = ''
}) => {
  // State
  const [analytics, setAnalytics] = useState<SalesAnalytics | null>(null);
  const [loading, setLoading] = useState(false);
  const [error, setError] = useState<string | null>(null);

  // Chart configuration
  const [chartType, setChartType] = useState<ChartType>(ChartType.LINE);
  const [selectedMetric, setSelectedMetric] = useState<MetricType>(MetricType.REVENUE);
  const [timePeriod, setTimePeriod] = useState<PeriodType>(initialPeriod);
  const [dateRange, setDateRange] = useState({
    start: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString().split('T')[0],
    end: new Date().toISOString().split('T')[0]
  });

  // Comparison
  const [showComparison, setShowComparison] = useState(false);
  const [comparisonPeriod, setComparisonPeriod] = useState({
    start: new Date(Date.now() - 60 * 24 * 60 * 60 * 1000).toISOString().split('T')[0],
    end: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString().split('T')[0]
  });

  // Export options
  const [showExportModal, setShowExportModal] = useState(false);

  // Sales hook
  const { fetchAnalytics } = useSales();

  // Load analytics data
  useEffect(() => {
    loadAnalytics();
  }, [dateRange, timePeriod]);

  const loadAnalytics = async () => {
    setLoading(true);
    setError(null);

    try {
      const response = await salesService.getSalesAnalytics({
        start_date: dateRange.start,
        end_date: dateRange.end,
        granularity: timePeriod === PeriodType.DAILY ? 'daily' : 
                    timePeriod === PeriodType.WEEKLY ? 'weekly' : 'monthly'
      });

      if (response.success && response.data) {
        // Transform the API data to our analytics format
        const mockAnalytics: SalesAnalytics = {
          overview: {
            total_revenue: response.data.daily_sales?.reduce((sum, day) => sum + day.revenue, 0) || 0,
            total_quantity: response.data.daily_sales?.reduce((sum, day) => sum + day.quantity, 0) || 0,
            total_orders: response.data.daily_sales?.reduce((sum, day) => sum + day.orders, 0) || 0,
            average_order_value: 0,
            gross_profit: 0,
            profit_margin: 0,
            discount_percentage: 0,
            tax_percentage: 21,
            best_selling_products: response.data.product_performance || [],
            revenue_by_channel: []
          },
          daily_trends: response.data.daily_sales?.map(day => ({
            date: day.date,
            revenue: day.revenue,
            quantity: day.quantity,
            orders: day.orders,
            average_order_value: day.revenue / day.orders || 0,
            new_customers: Math.floor(Math.random() * 10),
            day_type: 'weekday' as const
          })) || [],
          hourly_patterns: response.data.hourly_patterns?.map((pattern, index) => ({
            hour: index + 8, // Start from 8 AM
            average_sales: pattern.average_sales,
            peak_day: pattern.peak_day as any,
            orders_count: Math.floor(pattern.average_sales / 15),
            revenue_percentage: (pattern.average_sales / 1000) * 100,
            staff_recommendation: Math.ceil(pattern.average_sales / 200)
          })) || [],
          product_performance: response.data.product_performance || [],
          customer_segments: [],
          weather_impact: response.data.weather_impact || [],
          seasonal_patterns: [],
          forecast: []
        };

        setAnalytics(mockAnalytics);
      } else {
        setError(response.error || 'Error al cargar datos de analítica');
      }
    } catch (err) {
      setError('Error de conexión al servidor');
      console.error('Error loading analytics:', err);
    } finally {
      setLoading(false);
    }
  };

  // Chart data preparation
  const chartData = useMemo((): ChartData => {
    if (!analytics) return { labels: [], datasets: [] };

    switch (selectedMetric) {
      case MetricType.REVENUE:
        return {
          labels: analytics.daily_trends.map(trend => 
            new Date(trend.date).toLocaleDateString('es-ES', { 
              month: 'short', 
              day: 'numeric' 
            })
          ),
          datasets: [
            {
              label: 'Ingresos (€)',
              data: analytics.daily_trends.map(trend => trend.revenue),
              backgroundColor: chartType === ChartType.PIE ? 
                generateColors(analytics.daily_trends.length) : Colors.primary,
              borderColor: Colors.primary,
              borderWidth: 2,
              fill: chartType === ChartType.AREA,
              tension: 0.4
            }
          ]
        };

      case MetricType.ORDERS:
        return {
          labels: analytics.daily_trends.map(trend => 
            new Date(trend.date).toLocaleDateString('es-ES', { 
              month: 'short', 
              day: 'numeric' 
            })
          ),
          datasets: [
            {
              label: 'Número de Pedidos',
              data: analytics.daily_trends.map(trend => trend.orders),
              backgroundColor: chartType === ChartType.PIE ? 
                generateColors(analytics.daily_trends.length) : Colors.secondary,
              borderColor: Colors.secondary,
              borderWidth: 2,
              fill: chartType === ChartType.AREA,
              tension: 0.4
            }
          ]
        };

      case MetricType.AVERAGE_ORDER:
        return {
          labels: analytics.daily_trends.map(trend => 
            new Date(trend.date).toLocaleDateString('es-ES', { 
              month: 'short', 
              day: 'numeric' 
            })
          ),
          datasets: [
            {
              label: 'Ticket Promedio (€)',
              data: analytics.daily_trends.map(trend => trend.average_order_value),
              backgroundColor: chartType === ChartType.PIE ? 
                generateColors(analytics.daily_trends.length) : Colors.tertiary,
              borderColor: Colors.tertiary,
              borderWidth: 2,
              fill: chartType === ChartType.AREA,
              tension: 0.4
            }
          ]
        };

      case MetricType.TOP_PRODUCTS:
        const topProducts = analytics.product_performance.slice(0, 10);
        return {
          labels: topProducts.map(product => product.product_name),
          datasets: [
            {
              label: 'Ingresos por Producto (€)',
              data: topProducts.map(product => product.total_revenue),
              backgroundColor: generateColors(topProducts.length),
              borderColor: Colors.primary,
              borderWidth: 1
            }
          ]
        };

      case MetricType.HOURLY:
        return {
          labels: analytics.hourly_patterns.map(pattern => `${pattern.hour}:00`),
          datasets: [
            {
              label: 'Ventas Promedio por Hora (€)',
              data: analytics.hourly_patterns.map(pattern => pattern.average_sales),
              backgroundColor: Colors.secondary,
              borderColor: Colors.secondary,
              borderWidth: 2,
              fill: chartType === ChartType.AREA,
              tension: 0.4
            }
          ]
        };

      default:
        return { labels: [], datasets: [] };
    }
  }, [analytics, selectedMetric, chartType]);

  // Generate colors for pie charts
  const generateColors = (count: number): string[] => {
    const baseColors = [
      '#3B82F6', '#10B981', '#F59E0B', '#EF4444', '#8B5CF6',
      '#06B6D4', '#84CC16', '#F97316', '#EC4899', '#6366F1'
    ];
    
    const colors: string[] = [];
    for (let i = 0; i < count; i++) {
      colors.push(baseColors[i % baseColors.length]);
    }
    return colors;
  };

  // Chart component (simplified SVG implementation)
  const renderChart = () => {
    if (!chartData.labels.length) {
      return (
        <div className="flex items-center justify-center h-64 text-[var(--text-tertiary)]">
          No hay datos para mostrar
        </div>
      );
    }

    const maxValue = Math.max(...chartData.datasets.flatMap(dataset => dataset.data));
    const minValue = Math.min(...chartData.datasets.flatMap(dataset => dataset.data));
    const range = maxValue - minValue || 1;

    const chartWidth = 800;
    const chartHeight = 400;
    const padding = 60;
    const chartArea = {
      width: chartWidth - padding * 2,
      height: chartHeight - padding * 2
    };

    const xStep = chartArea.width / (chartData.labels.length - 1 || 1);
    const yScale = chartArea.height / range;

    if (chartType === ChartType.PIE && selectedMetric === MetricType.TOP_PRODUCTS) {
      // Pie chart implementation
      const total = chartData.datasets[0].data.reduce((sum, value) => sum + value, 0);
      let currentAngle = -90;
      const centerX = chartWidth / 2;
      const centerY = chartHeight / 2;
      const radius = Math.min(chartArea.width, chartArea.height) / 3;

      return (
        <div className="relative">
          <svg width={chartWidth} height={chartHeight} className="overflow-visible">
            {chartData.datasets[0].data.map((value, index) => {
              const percentage = (value / total) * 100;
              const angle = (value / total) * 360;
              const startAngle = currentAngle;
              const endAngle = currentAngle + angle;
              currentAngle += angle;

              const startX = centerX + radius * Math.cos((startAngle * Math.PI) / 180);
              const startY = centerY + radius * Math.sin((startAngle * Math.PI) / 180);
              const endX = centerX + radius * Math.cos((endAngle * Math.PI) / 180);
              const endY = centerY + radius * Math.sin((endAngle * Math.PI) / 180);

              const largeArcFlag = angle > 180 ? 1 : 0;
              const pathData = [
                'M', centerX, centerY,
                'L', startX, startY,
                'A', radius, radius, 0, largeArcFlag, 1, endX, endY,
                'Z'
              ].join(' ');

              return (
                <g key={index}>
                  <path
                    d={pathData}
                    fill={(chartData.datasets[0].backgroundColor as string[])[index]}
                    stroke="white"
                    strokeWidth={2}
                  />
                  {percentage > 5 && (
                    <text
                      x={centerX + (radius * 0.7) * Math.cos(((startAngle + endAngle) / 2 * Math.PI) / 180)}
                      y={centerY + (radius * 0.7) * Math.sin(((startAngle + endAngle) / 2 * Math.PI) / 180)}
                      textAnchor="middle"
                      fontSize="12"
                      fill="white"
                      fontWeight="bold"
                    >
                      {percentage.toFixed(1)}%
                    </text>
                  )}
                </g>
              );
            })}
          </svg>
          
          {/* Legend */}
          <div className="mt-4 flex flex-wrap gap-4 justify-center">
            {chartData.labels.map((label, index) => (
              <div key={index} className="flex items-center">
                <div
                  className="w-3 h-3 rounded mr-2"
                  style={{ backgroundColor: (chartData.datasets[0].backgroundColor as string[])[index] }}
                />
                <span className="text-sm text-[var(--text-secondary)] truncate max-w-24">{label}</span>
              </div>
            ))}
          </div>
        </div>
      );
    }

    // Line/Bar/Area chart implementation
    return (
      <svg width={chartWidth} height={chartHeight} className="bg-white">
        {/* Grid lines */}
        {[0, 0.25, 0.5, 0.75, 1].map(ratio => {
          const y = padding + chartArea.height * ratio;
          return (
            <g key={ratio}>
              <line
                x1={padding}
                y1={y}
                x2={chartWidth - padding}
                y2={y}
                stroke={Colors.grid}
                strokeWidth={1}
                strokeDasharray="2,2"
              />
              <text
                x={padding - 10}
                y={y + 4}
                textAnchor="end"
                fontSize="12"
                fill={Colors.text}
              >
                €{(minValue + range * (1 - ratio)).toLocaleString('es-ES', { maximumFractionDigits: 0 })}
              </text>
            </g>
          );
        })}

        {/* X-axis labels */}
        {chartData.labels.map((label, index) => {
          const x = padding + index * xStep;
          return (
            <text
              key={index}
              x={x}
              y={chartHeight - padding + 20}
              textAnchor="middle"
              fontSize="12"
              fill={Colors.text}
            >
              {label}
            </text>
          );
        })}

        {/* Data visualization */}
        {chartData.datasets.map((dataset, datasetIndex) => {
          const points = dataset.data.map((value, index) => ({
            x: padding + index * xStep,
            y: padding + chartArea.height - ((value - minValue) * yScale)
          }));

          if (chartType === ChartType.BAR) {
            return (
              <g key={datasetIndex}>
                {points.map((point, index) => (
                  <rect
                    key={index}
                    x={point.x - 15}
                    y={point.y}
                    width={30}
                    height={padding + chartArea.height - point.y}
                    fill={dataset.backgroundColor as string}
                    rx={2}
                  />
                ))}
              </g>
            );
          }

          // Line chart
          const pathData = points.map((point, index) => 
            `${index === 0 ? 'M' : 'L'} ${point.x} ${point.y}`
          ).join(' ');

          return (
            <g key={datasetIndex}>
              {/* Area fill */}
              {chartType === ChartType.AREA && (
                <path
                  d={`${pathData} L ${points[points.length - 1].x} ${padding + chartArea.height} L ${points[0].x} ${padding + chartArea.height} Z`}
                  fill={dataset.backgroundColor as string}
                  fillOpacity={0.3}
                />
              )}
              
              {/* Line */}
              <path
                d={pathData}
                fill="none"
                stroke={dataset.borderColor}
                strokeWidth={dataset.borderWidth}
              />

              {/* Data points */}
              {points.map((point, index) => (
                <circle
                  key={index}
                  cx={point.x}
                  cy={point.y}
                  r={4}
                  fill={dataset.borderColor}
                  stroke="white"
                  strokeWidth={2}
                >
                  <title>
                    {chartData.labels[index]}: €{dataset.data[index].toLocaleString('es-ES', { minimumFractionDigits: 2 })}
                  </title>
                </circle>
              ))}
            </g>
          );
        })}
      </svg>
    );
  };

  // Export functionality
  const handleExport = async (format: 'png' | 'pdf' | 'csv') => {
    try {
      switch (format) {
        case 'png':
          // Convert SVG to PNG
          const svg = document.querySelector('svg');
          if (svg) {
            const canvas = document.createElement('canvas');
            const ctx = canvas.getContext('2d');
            const img = new Image();
            const svgBlob = new Blob([svg.outerHTML], { type: 'image/svg+xml;charset=utf-8' });
            const url = URL.createObjectURL(svgBlob);
            
            img.onload = () => {
              canvas.width = 800;
              canvas.height = 400;
              ctx?.drawImage(img, 0, 0);
              canvas.toBlob(blob => {
                if (blob) {
                  const downloadUrl = URL.createObjectURL(blob);
                  const a = document.createElement('a');
                  a.href = downloadUrl;
                  a.download = `grafico_ventas_${selectedMetric}_${new Date().toISOString().split('T')[0]}.png`;
                  a.click();
                  URL.revokeObjectURL(downloadUrl);
                }
              });
              URL.revokeObjectURL(url);
            };
            img.src = url;
          }
          break;

        case 'csv':
          const csvData = [
            ['Período', ...chartData.datasets.map(d => d.label)],
            ...chartData.labels.map((label, index) => [
              label,
              ...chartData.datasets.map(dataset => dataset.data[index].toFixed(2))
            ])
          ];
          
          const csvContent = csvData.map(row => row.join(',')).join('\n');
          const csvBlob = new Blob([csvContent], { type: 'text/csv' });
          const csvUrl = URL.createObjectURL(csvBlob);
          const csvLink = document.createElement('a');
          csvLink.href = csvUrl;
          csvLink.download = `datos_ventas_${selectedMetric}_${new Date().toISOString().split('T')[0]}.csv`;
          csvLink.click();
          URL.revokeObjectURL(csvUrl);
          break;

        case 'pdf':
          // In a real implementation, use a library like jsPDF
          console.log('PDF export would be implemented with jsPDF library');
          break;
      }
      
      setShowExportModal(false);
    } catch (error) {
      console.error('Error exporting chart:', error);
    }
  };

  // Summary statistics
  const summaryStats = useMemo(() => {
    if (!analytics) return null;

    const currentPeriodTotal = analytics.daily_trends.reduce((sum, trend) => sum + trend.revenue, 0);
    const currentPeriodOrders = analytics.daily_trends.reduce((sum, trend) => sum + trend.orders, 0);
    const avgOrderValue = currentPeriodTotal / currentPeriodOrders || 0;

    // Calculate growth (mock data for comparison)
    const growthRate = Math.random() * 20 - 10; // -10% to +10%
    
    return {
      totalRevenue: currentPeriodTotal,
      totalOrders: currentPeriodOrders,
      avgOrderValue,
      growthRate,
      topProduct: analytics.product_performance[0]?.product_name || 'N/A'
    };
  }, [analytics]);

  return (
    <div className={`space-y-6 ${className}`}>
      {/* Header Controls */}
      <Card className="p-6">
        <div className="flex flex-col lg:flex-row lg:items-center lg:justify-between gap-4">
          <div>
            <h2 className="text-2xl font-bold text-[var(--text-primary)]">Análisis de Ventas</h2>
            <p className="text-[var(--text-secondary)]">
              Período: {new Date(dateRange.start).toLocaleDateString('es-ES')} - {new Date(dateRange.end).toLocaleDateString('es-ES')}
            </p>
          </div>

          <div className="flex flex-wrap items-center gap-3">
            <Select
              value={selectedMetric}
              onChange={(value) => setSelectedMetric(value as MetricType)}
              options={Object.values(MetricType).map(metric => ({
                value: metric,
                label: MetricLabels[metric]
              }))}
            />

            <Select
              value={chartType}
              onChange={(value) => setChartType(value as ChartType)}
              options={Object.values(ChartType).map(type => ({
                value: type,
                label: ChartTypeLabels[type]
              }))}
            />

            <Select
              value={timePeriod}
              onChange={(value) => setTimePeriod(value as PeriodType)}
              options={Object.values(PeriodType).filter(period => 
                [PeriodType.DAILY, PeriodType.WEEKLY, PeriodType.MONTHLY].includes(period)
              ).map(period => ({
                value: period,
                label: PeriodLabels[period]
              }))}
            />

            {showExport && (
              <Button
                variant="outline"
                onClick={() => setShowExportModal(true)}
              >
                <svg className="w-4 h-4 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                  <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} 
                        d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
                </svg>
                Exportar
              </Button>
            )}
          </div>
        </div>

        {/* Date Range Selector */}
        <div className="flex flex-wrap items-center gap-4 mt-4 pt-4 border-t border-[var(--border-primary)]">
          <div className="flex items-center gap-2">
            <label className="text-sm font-medium text-[var(--text-secondary)]">Desde:</label>
            <input
              type="date"
              value={dateRange.start}
              onChange={(e) => setDateRange(prev => ({ ...prev, start: e.target.value }))}
              className="px-3 py-1 border border-[var(--border-secondary)] rounded-md text-sm"
            />
          </div>
          
          <div className="flex items-center gap-2">
            <label className="text-sm font-medium text-[var(--text-secondary)]">Hasta:</label>
            <input
              type="date"
              value={dateRange.end}
              onChange={(e) => setDateRange(prev => ({ ...prev, end: e.target.value }))}
              className="px-3 py-1 border border-[var(--border-secondary)] rounded-md text-sm"
            />
          </div>

          <Button
            variant="outline"
            size="sm"
            onClick={() => setShowComparison(!showComparison)}
          >
            {showComparison ? 'Ocultar' : 'Mostrar'} Comparación
          </Button>
        </div>
      </Card>

      {/* Summary Statistics */}
      {summaryStats && (
        <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4">
          <Card className="p-4">
            <div className="flex items-center justify-between">
              <div>
                <p className="text-sm font-medium text-[var(--text-secondary)]">Ingresos Totales</p>
                <p className="text-2xl font-bold text-[var(--text-primary)]">
                  €{summaryStats.totalRevenue.toLocaleString('es-ES', { minimumFractionDigits: 2 })}
                </p>
              </div>
              <div className={`flex items-center ${summaryStats.growthRate >= 0 ? 'text-[var(--color-success)]' : 'text-[var(--color-error)]'}`}>
                <svg className="w-4 h-4 mr-1" fill="currentColor" viewBox="0 0 20 20">
                  <path fillRule="evenodd" d={summaryStats.growthRate >= 0 
                    ? "M5.293 9.707a1 1 0 010-1.414l4-4a1 1 0 011.414 0l4 4a1 1 0 01-1.414 1.414L11 7.414V15a1 1 0 11-2 0V7.414L6.707 9.707a1 1 0 01-1.414 0z"
                    : "M14.707 10.293a1 1 0 010 1.414l-4 4a1 1 0 01-1.414 0l-4-4a1 1 0 111.414-1.414L9 12.586V5a1 1 0 012 0v7.586l2.293-2.293a1 1 0 011.414 0z"
                  } clipRule="evenodd" />
                </svg>
                <span className="text-sm font-medium">{Math.abs(summaryStats.growthRate).toFixed(1)}%</span>
              </div>
            </div>
          </Card>

          <Card className="p-4">
            <div>
              <p className="text-sm font-medium text-[var(--text-secondary)]">Pedidos Totales</p>
              <p className="text-2xl font-bold text-[var(--text-primary)]">{summaryStats.totalOrders.toLocaleString('es-ES')}</p>
            </div>
          </Card>

          <Card className="p-4">
            <div>
              <p className="text-sm font-medium text-[var(--text-secondary)]">Ticket Promedio</p>
              <p className="text-2xl font-bold text-[var(--text-primary)]">
                €{summaryStats.avgOrderValue.toLocaleString('es-ES', { minimumFractionDigits: 2 })}
              </p>
            </div>
          </Card>

          <Card className="p-4">
            <div>
              <p className="text-sm font-medium text-[var(--text-secondary)]">Producto Top</p>
              <p className="text-lg font-bold text-[var(--text-primary)] truncate">{summaryStats.topProduct}</p>
            </div>
          </Card>
        </div>
      )}

      {/* Main Chart */}
      <Card className="p-6">
        <div className="flex items-center justify-between mb-6">
          <h3 className="text-lg font-semibold text-[var(--text-primary)]">
            {MetricLabels[selectedMetric]}
          </h3>
          <div className="flex items-center space-x-2">
            <span className="text-sm text-[var(--text-secondary)]">Tipo:</span>
            <Badge variant="soft" color="blue">
              {ChartTypeLabels[chartType]}
            </Badge>
          </div>
        </div>

        <div className="relative">
          {loading ? (
            <div className="flex items-center justify-center h-64">
              <div className="animate-spin rounded-full h-8 w-8 border-b-2 border-blue-600"></div>
              <span className="ml-2 text-[var(--text-secondary)]">Cargando datos...</span>
            </div>
          ) : error ? (
            <div className="flex items-center justify-center h-64 text-[var(--color-error)]">
              <svg className="w-6 h-6 mr-2" fill="currentColor" viewBox="0 0 20 20">
                <path fillRule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zM8.707 7.293a1 1 0 00-1.414 1.414L8.586 10l-1.293 1.293a1 1 0 101.414 1.414L10 11.414l1.293 1.293a1 1 0 001.414-1.414L11.414 10l1.293-1.293a1 1 0 00-1.414-1.414L10 8.586 8.707 7.293z" clipRule="evenodd" />
              </svg>
              {error}
            </div>
          ) : (
            <div className="overflow-x-auto">
              {renderChart()}
            </div>
          )}
        </div>
      </Card>

      {/* Comparison Period */}
      {showComparison && (
        <Card className="p-6">
          <h3 className="text-lg font-semibold text-[var(--text-primary)] mb-4">Comparación de Períodos</h3>
          <div className="grid grid-cols-2 gap-4 mb-4">
            <div className="flex items-center gap-2">
              <label className="text-sm font-medium text-[var(--text-secondary)]">Período comparación desde:</label>
              <input
                type="date"
                value={comparisonPeriod.start}
                onChange={(e) => setComparisonPeriod(prev => ({ ...prev, start: e.target.value }))}
                className="px-3 py-1 border border-[var(--border-secondary)] rounded-md text-sm"
              />
            </div>
            <div className="flex items-center gap-2">
              <label className="text-sm font-medium text-[var(--text-secondary)]">hasta:</label>
              <input
                type="date"
                value={comparisonPeriod.end}
                onChange={(e) => setComparisonPeriod(prev => ({ ...prev, end: e.target.value }))}
                className="px-3 py-1 border border-[var(--border-secondary)] rounded-md text-sm"
              />
            </div>
          </div>
          
          <div className="h-64 bg-[var(--bg-secondary)] rounded-lg flex items-center justify-center">
            <p className="text-[var(--text-secondary)]">Gráfico de comparación se implementaría aquí</p>
          </div>
        </Card>
      )}

      {/* Export Modal */}
      {showExportModal && (
        <div className="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50">
          <div className="bg-white rounded-lg p-6 max-w-md w-full mx-4">
            <h3 className="text-lg font-semibold text-[var(--text-primary)] mb-4">Exportar Gráfico</h3>
            <div className="space-y-3">
              <Button
                variant="outline"
                className="w-full justify-start"
                onClick={() => handleExport('png')}
              >
                <svg className="w-4 h-4 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                  <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} 
                        d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
                </svg>
                Exportar como PNG
              </Button>
              <Button
                variant="outline"
                className="w-full justify-start"
                onClick={() => handleExport('pdf')}
              >
                <svg className="w-4 h-4 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                  <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} 
                        d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
                </svg>
                Exportar como PDF
              </Button>
              <Button
                variant="outline"
                className="w-full justify-start"
                onClick={() => handleExport('csv')}
              >
                <svg className="w-4 h-4 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                  <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} 
                        d="M9 17v-2m3 2v-4m3 4v-6m2 10H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" />
                </svg>
                Exportar Datos (CSV)
              </Button>
            </div>
            
            <div className="flex justify-end space-x-3 mt-6">
              <Button variant="outline" onClick={() => setShowExportModal(false)}>
                Cancelar
              </Button>
            </div>
          </div>
        </div>
      )}
    </div>
  );
};

export default SalesChart;