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const headerRowTop = document.getElementById('header-row-top');
const headerRowSub = document.getElementById('header-row-sub');
const bodyRow = document.getElementById('body-row');
const searchInput = document.getElementById('search');
const typeFilters = Array.from(document.querySelectorAll('.type-filter'));
const copyCitationBtn = document.getElementById('copy-citation-btn');
const citationText = document.getElementById('citation-text');

const GROUPS = [
  { id: 'avg', label: 'Avg. (5)', prefix: 'avg' },
  { id: 'lc', label: 'LangChain', prefix: 'lc' },
  { id: 'yolo', label: 'Yolo v7 & v8', prefix: 'yolo' },
  { id: 'laravel', label: 'Laravel 10 & 11', prefix: 'laravel' },
  { id: 'angular', label: 'Angular 16, 17 & 18', prefix: 'angular' },
  { id: 'godot', label: 'Godot4', prefix: 'godot' }
];

const METRICS = [
  { id: 'a10', label: 'Ξ±@10' },
  { id: 'c20', label: 'C@20' },
  { id: 'r50', label: 'R@50' }
];

let rows = [];
let sortKey = 'avg_r50';
let sortAsc = false;
const PLOT_METRICS = [
  { id: 'alpha_ndcg_10', key: 'avg_a10', plotId: 'plot-avg-alpha10', title: 'alpha-nDCG@10', yLabel: 'Ξ±@10 (Avg. 5)', yMin: 0.1, yMax: 0.541 },
  { id: 'coverage_20', key: 'avg_c20', plotId: 'plot-avg-c20', title: 'Coverage@20', yLabel: 'C@20 (Avg. 5)', yMin: 0.25, yMax: 0.868 },
  { id: 'recall_50', key: 'avg_r50', plotId: 'plot-avg-r50', title: 'Recall@50', yLabel: 'R@50 (Avg. 5)', yMin: 0.15, yMax: 0.755 }
];
const DATE_PLOT_METRICS = [
  { id: 'alpha_ndcg_10', key: 'avg_a10', plotId: 'plot-date-avg-alpha10', title: 'alpha-nDCG@10', yLabel: 'Ξ±@10 (Avg. 5)', yMin: 0.1, yMax: 0.541 },
  { id: 'coverage_20', key: 'avg_c20', plotId: 'plot-date-avg-c20', title: 'Coverage@20', yLabel: 'C@20 (Avg. 5)', yMin: 0.25, yMax: 0.868 },
  { id: 'recall_50', key: 'avg_r50', plotId: 'plot-date-avg-r50', title: 'Recall@50', yLabel: 'R@50 (Avg. 5)', yMin: 0.15, yMax: 0.755 }
];

function num(v) {
  return typeof v === 'number' ? v.toFixed(3) : '-';
}

function typeBadge(type) {
  const labels = {
    open_source: 'Open Source',
    proprietary: 'Proprietary',
    upper_baseline: 'Oracle'
  };
  return `<span class="type-pill type-${type}">${labels[type] || type}</span>`;
}

function isNewModel(dateStr) {
  if (!dateStr) return false;
  const modelDate = new Date(dateStr);
  if (Number.isNaN(modelDate.getTime())) return false;
  const now = new Date();
  const daysDiff = (now - modelDate) / (1000 * 60 * 60 * 24);
  return daysDiff >= 0 && daysDiff <= 90;
}

function parseSizeToBillions(sizeStr) {
  if (!sizeStr || sizeStr === '-') return null;
  const m = String(sizeStr).trim().match(/^([\d.]+)\s*([BMK])$/i);
  if (!m) return null;
  const numValue = parseFloat(m[1]);
  const unit = m[2].toUpperCase();
  if (Number.isNaN(numValue)) return null;
  if (unit === 'B') return numValue;
  if (unit === 'M') return numValue / 1000;
  if (unit === 'K') return numValue / 1e6;
  return null;
}

function formatParameterSize(sizeInBillions) {
  if (sizeInBillions === undefined || sizeInBillions === null || Number.isNaN(sizeInBillions)) return '-';
  if (sizeInBillions < 1) {
    const inMillions = sizeInBillions * 1000;
    return `${parseFloat(inMillions.toFixed(2))}M`;
  }
  return `${parseFloat(sizeInBillions.toFixed(3))}B`;
}

function inferFamily(name) {
  const n = String(name || '').toLowerCase();
  if (n.includes('stella') || n.includes('jasper')) return 'Stella';
  if (n.includes('harrier')) return 'Harrier OSS';
  if (n.includes('voyage')) return 'Voyage';
  if (n.includes('jina')) return 'Jina';
  if (n.includes('qwen3')) return 'Qwen3';
  if (n.includes('granite')) return 'IBM Granite';
  if (n.includes('arctic embed')) return 'Arctic Embed';
  if (n.includes('perplexity embed')) return 'Perplexity Embed';
  if (n.includes('nomic embed') || n.includes('coderankembed')) return 'Nomic Embed';
  if (n.includes('bge')) return 'BGE';
  if (n.includes('e5')) return 'E5';
  if (n.includes('gte')) return 'GTE';
  if (n.includes('bm25')) return 'BM25';
  if (n.includes('fusion')) return 'Fusion';
  return 'Other';
}

function normalizeModelName(rawName) {
  return String(rawName || '').toLowerCase().replace(/^oracle:\s*/i, '').trim();
}

function isReferenceBaselineModel(rawName) {
  const name = normalizeModelName(rawName);
  return name === 'bm25' || name === 'fusion (bm25, bge, e5, voyage)';
}

function parseReleaseDate(dateStr) {
  if (!dateStr) return null;
  const d = new Date(dateStr);
  return Number.isNaN(d.getTime()) ? null : d;
}

const FAMILY_COLORS = {
  'Stella': '#1f77b4', 'Harrier OSS': '#ff7f0e', 'Voyage': '#009688', 'Jina': '#d62728',
  'Qwen3': '#9467bd', 'IBM Granite': '#8c564b', 'Arctic Embed': '#e377c2', 'Perplexity Embed': '#17becf',
  'Nomic Embed': '#6a1b9a', 'BGE': '#7f7f7f', 'E5': '#393b79', 'GTE': '#bcbd22',
  'BM25': '#969696', 'Fusion': '#e6550d', 'Other': '#9e9e9e'
};

function familyMarkerHtml(name, type) {
  const family = inferFamily(name);
  const color = FAMILY_COLORS[family] || '#9e9e9e';
  // Shape by model type; color by model family
  const symbol = type === 'proprietary' ? 'β—†' : '●';
  return `<span class="family-marker" title="${family}" aria-label="${family}" style="color:${color}">${symbol}</span>`;
}

function mapRow(item) {
  return {
    name: item.info.name,
    size: item.info.size,
    date: item.info.date,
    type: item.info.type,
    link: item.info.link || '',
    avg_a10: item.datasets.average.alpha_ndcg_10,
    avg_c20: item.datasets.average.coverage_20,
    avg_r50: item.datasets.average.recall_50,
    lc_a10: item.datasets.langchain.alpha_ndcg_10,
    lc_c20: item.datasets.langchain.coverage_20,
    lc_r50: item.datasets.langchain.recall_50,
    yolo_a10: item.datasets.yolo.alpha_ndcg_10,
    yolo_c20: item.datasets.yolo.coverage_20,
    yolo_r50: item.datasets.yolo.recall_50,
    laravel_a10: item.datasets.laravel.alpha_ndcg_10,
    laravel_c20: item.datasets.laravel.coverage_20,
    laravel_r50: item.datasets.laravel.recall_50,
    angular_a10: item.datasets.angular.alpha_ndcg_10,
    angular_c20: item.datasets.angular.coverage_20,
    angular_r50: item.datasets.angular.recall_50,
    godot_a10: item.datasets.godot.alpha_ndcg_10,
    godot_c20: item.datasets.godot.coverage_20,
    godot_r50: item.datasets.godot.recall_50
  };
}

function renderHeaders() {
  headerRowTop.innerHTML = `
    <th rowspan="2" data-key="rank">#</th>
    <th rowspan="2" data-key="name">Retriever</th>
    <th rowspan="2" data-key="type">Type</th>
    <th rowspan="2" data-key="size">Params</th>
    <th rowspan="2" data-key="date">Date</th>
    ${GROUPS.map(g => `<th colspan="3" class="group-name">${g.label}</th>`).join('')}
  `;

  headerRowSub.innerHTML = GROUPS.map(g =>
    METRICS.map(m => {
      const key = `${g.prefix}_${m.id}`;
      const arrow = sortKey === key ? (sortAsc ? ' ↑' : ' ↓') : '';
      return `<th data-key="${key}" class="metric-header">${m.label}${arrow}</th>`;
    }).join('')
  ).join('');

  document.querySelectorAll('th[data-key]').forEach(th => {
    th.addEventListener('click', () => {
      const key = th.dataset.key;
      if (!key || key === 'rank') return;
      if (sortKey === key) sortAsc = !sortAsc;
      else { sortKey = key; sortAsc = false; }
      renderHeaders();
      renderBody();
    });
  });
}

function activeTypes() {
  return typeFilters.filter(cb => cb.checked).map(cb => cb.value);
}

function renderBody() {
  const q = searchInput.value.trim().toLowerCase();
  const types = activeTypes();
  let filtered = rows.filter(r =>
    types.includes(r.type) && (`${r.name} ${r.size} ${r.date} ${r.type}`).toLowerCase().includes(q)
  );

  filtered.sort((a, b) => {
    const av = a[sortKey];
    const bv = b[sortKey];
    if (typeof av === 'number' && typeof bv === 'number') return sortAsc ? av - bv : bv - av;
    return sortAsc
      ? String(av).localeCompare(String(bv))
      : String(bv).localeCompare(String(av));
  });

  bodyRow.innerHTML = filtered.map((r, idx) => `
    <tr>
      <td>${idx + 1}</td>
      <td class="model-cell">
        ${familyMarkerHtml(r.name, r.type)}
        ${r.link ? `<a href="${r.link}" target="_blank">${r.name}</a>` : r.name}
        ${isNewModel(r.date) ? '<span class="new-badge">πŸ†•</span>' : ''}
      </td>
      <td>${typeBadge(r.type)}</td>
      <td>${r.size || '-'}</td>
      <td>${r.date || '-'}</td>
      <td class="avg-score">${num(r.avg_a10)}</td><td class="avg-score">${num(r.avg_c20)}</td><td class="avg-score">${num(r.avg_r50)}</td>
      <td>${num(r.lc_a10)}</td><td>${num(r.lc_c20)}</td><td>${num(r.lc_r50)}</td>
      <td>${num(r.yolo_a10)}</td><td>${num(r.yolo_c20)}</td><td>${num(r.yolo_r50)}</td>
      <td>${num(r.laravel_a10)}</td><td>${num(r.laravel_c20)}</td><td>${num(r.laravel_r50)}</td>
      <td>${num(r.angular_a10)}</td><td>${num(r.angular_c20)}</td><td>${num(r.angular_r50)}</td>
      <td>${num(r.godot_a10)}</td><td>${num(r.godot_c20)}</td><td>${num(r.godot_r50)}</td>
    </tr>
  `).join('');
}

function renderPlots() {
  if (typeof Plotly === 'undefined') return;
  const active = activeTypes();
  const filtered = rows.filter(r => active.includes(r.type));
  const filteredNoBaselines = filtered.filter(r => !isReferenceBaselineModel(r.name));

  PLOT_METRICS.forEach(metric => {
    const grouped = {};
    filteredNoBaselines.forEach(r => {
      const x = parseSizeToBillions(r.size);
      const y = r[metric.key];
      if (x === null || typeof y !== 'number') return;
      const fam = inferFamily(r.name);
      if (!grouped[fam]) grouped[fam] = { x: [], y: [], text: [] };
      grouped[fam].x.push(x);
      grouped[fam].y.push(y);
      grouped[fam].text.push(r.name);
    });
    const traces = Object.keys(grouped).sort().map(fam => ({
      type: 'scatter',
      mode: 'markers',
      name: fam,
      x: grouped[fam].x,
      y: grouped[fam].y,
      text: grouped[fam].text,
      customdata: grouped[fam].x.map(v => formatParameterSize(v)),
      marker: { color: FAMILY_COLORS[fam] || '#9e9e9e', size: 11, line: { width: 1, color: '#fff' } },
      hovertemplate: '<b>%{text}</b><br>Params: %{customdata}<br>Score: %{y:.3f}<extra></extra>'
    }));

    const bm25 = filtered.find(r => String(r.name).toLowerCase() === 'bm25');
    const fusion = filtered.find(r => String(r.name).toLowerCase() === 'fusion (bm25, bge, e5, voyage)');
    const xs = traces.flatMap(t => t.x || []);
    if (xs.length) {
      const xmin = Math.min(...xs);
      const xmax = Math.max(...xs);
      if (bm25 && typeof bm25[metric.key] === 'number') {
        traces.push({ type: 'scatter', mode: 'lines', name: 'BM25', x: [xmin, xmax], y: [bm25[metric.key], bm25[metric.key]], line: { color: 'rgba(97,97,97,0.55)', width: 1.1, dash: 'dash' } });
      }
      if (fusion && typeof fusion[metric.key] === 'number') {
        traces.push({ type: 'scatter', mode: 'lines', name: 'Fusion', x: [xmin, xmax], y: [fusion[metric.key], fusion[metric.key]], line: { color: 'rgba(106,27,154,0.55)', width: 1.1, dash: 'dot' } });
      }
    }

    Plotly.newPlot(metric.plotId, traces, {
      title: { text: metric.title, x: 0.01, xanchor: 'left', font: { size: 16 } },
      height: 460,
      margin: { t: 46, r: 12, b: 178, l: 56 },
      xaxis: { title: { text: 'Model Parameters (Billions)', standoff: 26 }, type: 'log', automargin: true, showgrid: true },
      yaxis: { title: metric.yLabel, range: [metric.yMin, metric.yMax], tickformat: '.2f', automargin: true, showgrid: true },
      legend: { orientation: 'h', y: -0.46, x: 0.5, xanchor: 'center' },
      hovermode: 'closest'
    }, { responsive: true, displaylogo: false });
  });

  DATE_PLOT_METRICS.forEach(metric => {
    const grouped = {};
    filteredNoBaselines.forEach(r => {
      const x = parseReleaseDate(r.date);
      const y = r[metric.key];
      if (x === null || typeof y !== 'number') return;
      const fam = inferFamily(r.name);
      if (!grouped[fam]) grouped[fam] = { x: [], y: [], text: [] };
      grouped[fam].x.push(x);
      grouped[fam].y.push(y);
      grouped[fam].text.push(r.name);
    });

    const traces = Object.keys(grouped).sort().map(fam => ({
      type: 'scatter',
      mode: 'markers',
      name: fam,
      x: grouped[fam].x,
      y: grouped[fam].y,
      text: grouped[fam].text,
      marker: { color: FAMILY_COLORS[fam] || '#9e9e9e', size: 11, line: { width: 1, color: '#fff' } },
      hovertemplate: '<b>%{text}</b><br>Release date: %{x|%Y-%m-%d}<br>Score: %{y:.3f}<extra></extra>'
    }));

    const bm25 = filtered.find(r => normalizeModelName(r.name) === 'bm25');
    const fusion = filtered.find(r => normalizeModelName(r.name) === 'fusion (bm25, bge, e5, voyage)');
    const xs = traces.flatMap(t => t.x || []);
    const xMin = xs.length ? new Date(Math.min(...xs.map(d => d.getTime()))) : null;
    const xMax = xs.length ? new Date(Math.max(...xs.map(d => d.getTime()))) : null;
    const xMinMonthStart = xMin ? new Date(xMin.getFullYear(), xMin.getMonth(), 1) : null;
    if (xMin && xMax) {
      if (bm25 && typeof bm25[metric.key] === 'number') {
        traces.push({ type: 'scatter', mode: 'lines', name: 'BM25', x: [xMin, xMax], y: [bm25[metric.key], bm25[metric.key]], line: { color: 'rgba(97,97,97,0.55)', width: 1.1, dash: 'dash' } });
      }
      if (fusion && typeof fusion[metric.key] === 'number') {
        traces.push({ type: 'scatter', mode: 'lines', name: 'Fusion', x: [xMin, xMax], y: [fusion[metric.key], fusion[metric.key]], line: { color: 'rgba(106,27,154,0.55)', width: 1.1, dash: 'dot' } });
      }
    }

    Plotly.newPlot(metric.plotId, traces, {
      title: { text: metric.title, x: 0.01, xanchor: 'left', font: { size: 16 } },
      height: 460,
      margin: { t: 46, r: 12, b: 172, l: 56 },
      xaxis: {
        title: { text: 'Model Release Date', standoff: 26 },
        type: 'date',
        tickmode: 'linear',
        tick0: xMinMonthStart ? xMinMonthStart.toISOString().slice(0, 10) : undefined,
        dtick: 'M1',
        tickformat: '%b %Y',
        tickangle: -45,
        automargin: true,
        showgrid: true
      },
      yaxis: { title: metric.yLabel, range: [metric.yMin, metric.yMax], tickformat: '.2f', automargin: true, showgrid: true },
      legend: {
        orientation: 'h',
        y: -0.45,
        x: 0.5,
        xanchor: 'center',
        entrywidthmode: 'pixels',
        entrywidth: 125,
        itemsizing: 'constant'
      },
      hovermode: 'closest'
    }, { responsive: true, displaylogo: false });
  });
}

async function init() {
  const resp = await fetch('./leaderboard_data.json');
  const data = await resp.json();
  rows = data.leaderboardData.map(mapRow);
  renderHeaders();
  renderBody();
  renderPlots();
}

searchInput.addEventListener('input', renderBody);
typeFilters.forEach(cb => cb.addEventListener('change', () => { renderBody(); renderPlots(); }));
document.getElementById('toggle-submit').addEventListener('click', () => {
  document.getElementById('submit-panel').classList.toggle('hidden');
});
document.getElementById('toggle-metrics').addEventListener('click', () => {
  document.getElementById('metrics-panel').classList.toggle('hidden');
});

copyCitationBtn.addEventListener('click', async () => {
  try {
    await navigator.clipboard.writeText(citationText.textContent);
    copyCitationBtn.innerHTML = '<i class="fa-solid fa-check"></i> Copied';
    setTimeout(() => {
      copyCitationBtn.innerHTML = '<i class="fa-regular fa-copy"></i> Copy';
    }, 1400);
  } catch (_) {}
});

init().catch(() => {
  bodyRow.innerHTML = '<tr><td colspan="23">Failed to load leaderboard data.</td></tr>';
});