GustavoandClaude Sonnet 5
485234dc88
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>
30 lines
1.2 KiB
JavaScript
30 lines
1.2 KiB
JavaScript
// Fila interna de auditoria/calibracao para chamados classificados como INSUFFICIENT_CONTEXT.
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// Nao e enviada a ninguem -- serve so pra identificar problemas de preenchimento no GLPI
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// (ver secao 10/14 da missao original). Fica gravada dentro do resumo do shadow run.
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function buildDataQualityReview(items) {
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return items
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.filter((item) => item.aiClassification.classification === 'INSUFFICIENT_CONTEXT')
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.map((item) => {
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const t = item.ticket;
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const followups = t.followups || [];
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const tasks = t.tasks || [];
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const contextSize = (t.descricao || '').length
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+ followups.reduce((sum, f) => sum + (f.texto || '').length, 0)
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+ tasks.reduce((sum, task) => sum + (task.texto || '').length, 0);
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return {
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ticket_id: t.id,
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title: t.titulo,
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ai_reason: item.aiClassification.reason,
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context_size: contextSize,
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has_description: Boolean(t.descricao && t.descricao.trim().length > 0),
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followup_count: followups.length,
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task_count: tasks.length,
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has_solution: Boolean(t.solucao),
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last_interaction_at: t.ultima_interacao_em,
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};
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});
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}
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module.exports = { buildDataQualityReview };
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