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>
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co-authored by
Claude Sonnet 5
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34f61abc3b
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485234dc88
@@ -27,7 +27,7 @@ function validateAiClassification(raw) {
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if (typeof raw.actionable_today !== 'boolean') errors.push('actionable_today deve ser boolean');
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const confidence = Number(raw.confidence);
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if (!Number.isFinite(confidence) || confidence < 0 || confidence > 1) errors.push('confidence deve estar entre 0 e 1');
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if (typeof raw.next_action !== 'string' || raw.next_action.length > 200) errors.push('next_action invalido');
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if (typeof raw.next_action !== 'string' || raw.next_action.trim().length === 0 || raw.next_action.length > 200) errors.push('next_action invalido (vazio ou muito longo)');
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if (raw.evidence != null && !Array.isArray(raw.evidence)) errors.push('evidence deve ser array');
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if (typeof raw.reason !== 'string') errors.push('reason deve ser string');
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