{% extends "base.html" %}
{% block title %}Data{% endblock %}
{% block content %}
<div class="row" style="justify-content:space-between;align-items:center;margin-bottom:.3rem">
  <h1 style="margin:0">Data</h1>
  <button class="ghost" onclick="loadData()">↻ Refresh</button>
</div>
<p class="muted" style="margin:.2rem 0 .8rem">
  Read-only view of everything stored on disk under <code>data_path</code>,
  grouped by data type then exchange. To collect more, manage jobs on the
  <a href="/historical">Historical</a> and <a href="/live">Live</a> pages.
</p>

<div id="data-summary" style="margin-bottom:.6rem"></div>

<div class="tabs" id="data-tabs">
  <button class="tab" data-tab="ohlc">OHLC</button>
  <button class="tab" data-tab="trades">Trades</button>
  <button class="tab" data-tab="orderbook">Order Book</button>
</div>

<div data-pane="ohlc"><span class="muted">Loading…</span></div>
<div data-pane="trades"><span class="muted">Loading…</span></div>
<div data-pane="orderbook"><span class="muted">Loading…</span></div>
{% endblock %}
{% block scripts %}
<script>
const SPANS = {60:'1m',300:'5m',900:'15m',1800:'30m',3600:'1h',14400:'4h',86400:'1d',604800:'1w'};
function spanLabel(s){ return s ? (SPANS[s]||s+'s') : '—'; }
let DATASETS = [];

async function loadData() {
  try {
    const { datasets } = await api('GET','/api/inventory');
    DATASETS = datasets || [];
    if (!DATASETS.length) {
      document.getElementById('data-summary').innerHTML = '';
      document.querySelectorAll('[data-pane]').forEach(p =>
        p.innerHTML = `<div class="card muted" style="text-align:center;padding:2rem">
          No datasets stored yet. Start collecting on the
          <a href="/historical">Historical</a> page.</div>`);
      return;
    }
    const totRows = DATASETS.reduce((a,d)=>a+(d.rows||0),0);
    const totBytes = DATASETS.reduce((a,d)=>a+(d.bytes||0),0);
    document.getElementById('data-summary').innerHTML =
      `<div class="muted" style="font-size:.85rem">
        ${DATASETS.length} dataset(s) · ${fmtNum(totRows)} rows · ${fmtBytes(totBytes)} on disk</div>`;
    for (const dt of ['ohlc','trades','orderbook']) renderPane(dt);
  } catch (e) {
    document.querySelectorAll('[data-pane]').forEach(p =>
      p.innerHTML = `<span class="err">${escapeHtml(e.message)}</span>`);
  }
}

function renderPane(dt) {
  const pane = document.querySelector(`[data-pane="${dt}"]`);
  const ds = DATASETS.filter(d => d.data_type === dt);
  if (!ds.length) {
    pane.innerHTML = `<div class="card muted" style="text-align:center;padding:1.5rem">
      No ${dt} datasets stored.</div>`;
    return;
  }
  const byEx = {};
  for (const d of ds) (byEx[d.exchange] ||= []).push(d);

  let html = '';
  for (const ex of Object.keys(byEx).sort()) {
    const rows = byEx[ex].reduce((a,d)=>a+(d.rows||0),0);
    const bytes = byEx[ex].reduce((a,d)=>a+(d.bytes||0),0);
    html += `<details class="ex" open><summary>
      <span class="ex-name">${escapeHtml(ex)}</span>
      <span class="ex-meta">${byEx[ex].length} dataset(s) · ${fmtNum(rows)} rows · ${fmtBytes(bytes)}</span>
    </summary><div class="ex-body">
    <table><thead><tr>
      <th>Pair</th>${dt==='ohlc'?'<th>Span</th>':''}<th>Rows</th><th>From</th><th>To</th>
      <th>Freshness</th>${dt==='ohlc'?'<th title="Fraction of clock-time slots that contain a candle. Exchanges emit no candle for minutes without trades — low coverage on a quiet pair is normal, not data loss.">Coverage ⓘ</th>':''}<th>Size</th><th>Files</th>
    </tr></thead><tbody>`;
    for (const d of byEx[ex]) {
      const fcls = stalenessClass(d.max_ts);
      const coverageTip = 'Exchanges emit no candle for minutes without trades — low coverage on a quiet pair is normal, not data loss.';
      const gap = d.expected_rows
        ? (() => {
            const pct = 100 * (1 - d.missing_rows / d.expected_rows);
            const label = pct.toFixed(1) + '%';
            // Coverage is always shown neutrally: low values are expected for
            // illiquid pairs that emit no empty candles. There is no threshold
            // that reliably separates "sparse trading" from "collection hole"
            // using only the footer stats available here, so we never alarm.
            return `<td title="${coverageTip}"><span class="muted">${label}</span></td>`;
          })()
        : '<td><span class="muted">n/a</span></td>';
      html += `<tr>
        <td><strong>${escapeHtml(d.pair)}</strong></td>
        ${dt==='ohlc'?`<td>${spanLabel(d.span)}</td>`:''}
        <td class="muted">${fmtNum(d.rows||0)}</td>
        <td class="muted" style="font-size:.8rem">${fmtNs(d.min_ts)}</td>
        <td class="muted" style="font-size:.8rem">${fmtNs(d.max_ts)}</td>
        <td style="font-size:.8rem"><span class="live-dot ${fcls}"></span>${fmtAge(d.max_ts)}</td>
        ${dt==='ohlc'?gap:''}
        <td class="muted" style="font-size:.8rem">${fmtBytes(d.bytes)}</td>
        <td class="muted">${d.files??'—'}</td>
      </tr>`;
    }
    html += '</tbody></table></div></details>';
  }
  pane.innerHTML = html;
}

initTabs('#data-tabs');
loadData();
</script>
{% endblock %}