feat(v2): add data-quality audit queue for INSUFFICIENT_CONTEXT, require non-empty next_action

buildDataQualityReview extracts an auditable record per INSUFFICIENT_CONTEXT
ticket (ticket_id, title, ai_reason, context_size, has_description,
followup_count, task_count, has_solution, last_interaction_at) -- not sent
anywhere, just for calibration. Also tightened validateAiClassification to
reject an empty/whitespace-only next_action (was previously accepted).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

logic/dataQuality.js

@@ -0,0 +1,29 @@
+// Fila interna de auditoria/calibracao para chamados classificados como INSUFFICIENT_CONTEXT.
+// Nao e enviada a ninguem -- serve so pra identificar problemas de preenchimento no GLPI
+// (ver secao 10/14 da missao original). Fica gravada dentro do resumo do shadow run.
+function buildDataQualityReview(items) {
+  return items
+    .filter((item) => item.aiClassification.classification === 'INSUFFICIENT_CONTEXT')
+    .map((item) => {
+      const t = item.ticket;
+      const followups = t.followups || [];
+      const tasks = t.tasks || [];
+      const contextSize = (t.descricao || '').length
+        + followups.reduce((sum, f) => sum + (f.texto || '').length, 0)
+        + tasks.reduce((sum, task) => sum + (task.texto || '').length, 0);
+
+      return {
+        ticket_id: t.id,
+        title: t.titulo,
+        ai_reason: item.aiClassification.reason,
+        context_size: contextSize,
+        has_description: Boolean(t.descricao && t.descricao.trim().length > 0),
+        followup_count: followups.length,
+        task_count: tasks.length,
+        has_solution: Boolean(t.solucao),
+        last_interaction_at: t.ultima_interacao_em,
+      };
+    });
+}
+
+module.exports = { buildDataQualityReview };