{# Entities × domains grid of per-cell point totals.

   Each row is one ranked entity; each column is one scoring domain.
   Empty cells render as muted dashes; non-zero cells render as a tinted
   pill (escalate-tinted at high points, monitor-tinted at lower). The
   grid lets the analyst see at a glance whether the report concentrates
   on security_evidence or whether movement carried significant weight
   too. #}
{% macro domain_score_matrix(matrix, entity_label="Entity") %}
{% if matrix and matrix.rows %}
<section>
  <div class="section-eyebrow">Domain score matrix</div>
  <h2>How risk points distribute across domains</h2>
  <table class="data-table domain-matrix">
    <thead>
      <tr>
        <th>{{ entity_label }}</th>
        <th class="num">Score</th>
        {% for d in matrix.domains %}
          <th class="domain-matrix-col">{{ d.domain_label }}</th>
        {% endfor %}
      </tr>
    </thead>
    <tbody>
      {% for row in matrix.rows %}
        <tr>
          <td class="entity">{{ row.entity_display }}</td>
          <td class="num"><span class="score-num">{{ row.score }}</span></td>
          {% for cell in row.cells %}
            {% if cell.value > 0 %}
              <td class="domain-matrix-cell">
                <span class="pill pill-{{ cell.tone }} pill-sm domain-matrix-pill">{{ cell.value }}</span>
              </td>
            {% else %}
              <td class="domain-matrix-cell domain-matrix-empty">—</td>
            {% endif %}
          {% endfor %}
        </tr>
      {% endfor %}
    </tbody>
  </table>
</section>
{% endif %}
{% endmacro %}