{% macro coverage_table(rows, confidence) %}
{% set total_evals = rows | sum(attribute="triggered") + rows | sum(attribute="evaluated_zero") + rows | sum(attribute="missing") %}
{% set total_missing = rows | sum(attribute="missing") %}
{% set pct_missing = (100 * total_missing / total_evals) if total_evals else 0 %}
<section>
  <div class="section-eyebrow">Coverage</div>
  <h2>Which rules could be evaluated</h2>
  <details class="disclosure coverage-disclosure">
    <summary>
      Rule coverage by domain
      <span class="disclosure-summary-stat">
        — {{ rows | length }} domain{{ "s" if rows | length != 1 else "" }} evaluated,
        {{ pct_missing | pct2 }} of rule evaluations had missing inputs
      </span>
    </summary>
    <div class="disclosure-body">
      <table class="data-table">
        <thead>
          <tr>
            <th>Domain</th>
            <th class="num">Triggered</th>
            <th class="num">Below threshold</th>
            <th class="num">Inputs missing</th>
            <th>Distribution</th>
          </tr>
        </thead>
        <tbody>
          {% for row in rows %}
            <tr>
              <td class="domain-name">{{ row.domain_label }}</td>
              <td class="num">{{ row.triggered }}</td>
              <td class="num">{{ row.evaluated_zero }}</td>
              <td class="num">{{ row.missing }}</td>
              <td>{{ coverage_bar(row.triggered, row.evaluated_zero, row.missing) }}</td>
            </tr>
          {% endfor %}
        </tbody>
      </table>
      <p class="muted" style="margin-top:12px;font-size:12px;">
        Confidence:
        {% for level, count in confidence.counts.items() %}{{ level | humanize_confidence }} · {{ count }}{% if not loop.last %}, {% endif %}{% endfor %}.
        Reasons:
        {% for reason in confidence.reasons %}{{ reason | humanize_reason }}{% if not loop.last %}, {% endif %}{% endfor %}.
      </p>
    </div>
  </details>
</section>
{% endmacro %}