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loan-intelligence-v1
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import {
  Chart as ChartJS,
  ArcElement,
  Tooltip,
  Legend,
  CategoryScale,
  LinearScale,
  BarElement,
  Title,
  RadialLinearScale,
  PointElement,
  LineElement,
  Filler,
} from 'chart.js';
import { Doughnut, Bar, Radar } from 'react-chartjs-2';

ChartJS.register(
  ArcElement,
  Tooltip,
  Legend,
  CategoryScale,
  LinearScale,
  BarElement,
  Title,
  RadialLinearScale,
  PointElement,
  LineElement,
  Filler
);

export function DTIGauge({ dti }) {
  const data = {
    labels: ['DTI', 'Remaining Capacity'],
    datasets: [
      {
        data: [dti, Math.max(0, 100 - dti)],
        backgroundColor: [
          dti > 50 ? '#ef4444' : dti > 30 ? '#f59e0b' : '#10b981',
          '#f3f4f6'
        ],
        borderWidth: 0,
        cutout: '85%'
      }
    ]
  };

  const options = {
    rotation: -90,
    circumference: 180,
    plugins: {
      legend: { display: false },
      tooltip: { enabled: false }
    },
    maintainAspectRatio: true,
  };

  return (
    <div style={{ position: 'relative', width: '220px', margin: '0 auto' }}>
      <Doughnut data={data} options={options} />
      <div style={{
        position: 'absolute',
        top: '70%',
        left: '50%',
        transform: 'translate(-50%, -50%)',
        textAlign: 'center'
      }}>
        <div style={{ fontSize: '1.75rem', fontWeight: '700' }}>{dti.toFixed(1)}%</div>
        <div style={{ fontSize: '0.75rem', color: '#6b7280', fontWeight: '600' }}>DEBT-TO-INCOME</div>
      </div>
    </div>
  );
}

export function ComparisonRadar({ userResults }) {
  const benchmarks = JSON.parse(userResults.benchmarks_json || "{}");
  
  // Clean keys for display
  const labelMap = {
    'ApplicantIncome': 'Income',
    'LoanAmount': 'Loan Size',
    'Total_Income': 'Total Rev',
    'EMI': 'EMI Load',
    'Credit_History': 'Credit Score'
  };

  const keys = Object.keys(labelMap);
  
  // Normalize values roughly for radar (0-100 scale)
  const normalize = (val, max) => Math.min(100, (val / max) * 100);

  const userData = [
    normalize(userResults.applicant_income, benchmarks.ApplicantIncome * 2 || 10000),
    normalize(userResults.loan_amount, benchmarks.LoanAmount * 2 || 500),
    normalize(userResults.applicant_income + userResults.coapplicant_income, benchmarks.Total_Income * 2 || 15000),
    normalize((userResults.loan_amount * 1000) / userResults.loan_amount_term, benchmarks.EMI * 2 || 2000),
    userResults.credit_history * 100
  ];

  const benchData = [50, 50, 50, 50, 50]; // Benchmarks are normalized to center

  const data = {
    labels: keys.map(k => labelMap[k]),
    datasets: [
      {
        label: 'Your Profile',
        data: userData,
        backgroundColor: 'rgba(242, 98, 47, 0.2)',
        borderColor: '#f2622f',
        borderWidth: 2,
        pointBackgroundColor: '#f2622f',
      },
      {
        label: 'Approved Average',
        data: benchData,
        backgroundColor: 'rgba(107, 114, 128, 0.1)',
        borderColor: '#9ca3af',
        borderWidth: 1,
        borderDash: [5, 5],
        pointRadius: 0
      }
    ]
  };

  const options = {
    scales: {
      r: {
        angleLines: { display: false },
        suggestedMin: 0,
        suggestedMax: 100,
        ticks: { display: false }
      }
    },
    plugins: {
      legend: { position: 'bottom', labels: { boxWidth: 12, font: { size: 10 } } }
    }
  };

  return <Radar data={data} options={options} />;
}

export function FeatureImportanceBar({ featuresJson }) {
  let features = {};
  try {
    features = JSON.parse(featuresJson);
  } catch(e) {
    return null;
  }

  const sorted = Object.entries(features)
    .sort(([, a], [, b]) => b - a)
    .slice(0, 5);

  const data = {
    labels: sorted.map(([k]) => k.replace(/_/g, ' ')),
    datasets: [{
      label: 'Impact Score',
      data: sorted.map(([,v]) => v),
      backgroundColor: '#f2622f',
      borderRadius: 6
    }]
  };

  const options = {
    indexAxis: 'y',
    plugins: { legend: { display: false } },
    scales: {
      x: { display: false },
      y: { grid: { display: false }, ticks: { font: { size: 11 } } }
    }
  };

  return <Bar data={data} options={options} />;
}