Production-readiness cycle. Classifier was excessively conservative (real Run A: ACTIONABLE_NOW/UNASSIGNED_ACTIONABLE both 0) and made concrete semantic mistakes on real tickets: - #34419: technician "Rafael Brito" (internal) classified as WAITING_VENDOR waiting_for -- an internal technician is not a vendor. - #37389: ticket had concrete open tasks ("Realizar um inventário das máquinas", "Alinhar o dia...") but was classified INSUFFICIENT_CONTEXT. - Generic next_action ("Revisar chamado") repeated across unrelated tickets, proving nothing about real actionability. Rewrote the system prompt (n8n/nodes/prepare-ai-prompt.node.js) with: practical actionability definition ("suporte consegue fazer algo util agora", explicit inclusion list); contatar-vs-aguardar distinction with examples; WAITING_* requires positive evidence (action already taken AND external dependency still open); technician-vs-vendor distinction citing the TECNICO context field; STATUS Planejado alone != blocked/scheduled; SCHEDULED requires an explicit date/window; mandatory chronological interpretation (most recent apontamento wins over a superseded old blocker); next_action must be concrete, with explicit accepted/rejected examples; INSUFFICIENT_CONTEXT bar raised (ask "is there a diagnostic step available even without full info" first). n8n/nodes/prepare-ai-prompt.node.test.js: 10 new tests asserting each rule's text is still present in the prompt (deterministic proxy -- behavioral proof comes from the real DEV run, inspected manually). logic/classification.js: added AI_CLASSIFIER_VERSION=3 (stamped on every valid classification); added a deterministic safety net (not just a prompt hope) -- isWaitingForInternalTechnician() rejects WAITING_VENDOR when waiting_for matches the ticket's own TECNICO field, routing to a new fallback_reason 'ai_semantic_conflict' instead of accepting a known-wrong semantic classification; added next_action genericness rejection (isGenericNextAction) for ACTIONABLE_NOW/UNASSIGNED_ACTIONABLE only. n8n/nodes/validate-ai-response.node.js: now passes the ticket into validateAiClassification() so the technician guard has the facts it needs. logic/cache.js: added buildCacheKey(contextHash, classifierVersion) -> "<hash>:v<version>", stored in the same last_context_hash column (no schema migration) -- bumping AI_CLASSIFIER_VERSION now forces a cache miss on every ticket without manually clearing the Data Table. n8n/nodes/decide-needs-ai.node.js / prepare-memoria-analise-record.node.js updated to compute/persist the composite key. logic/config.js: AI_MAX_CANDIDATES default raised 30->60 (now equals CANDIDATE_POOL_SIZE) -- no candidate should go unanalyzed by an artificial cap now that Run B already proved the cache makes repeat runs cheap; AI_FALLBACK stays reserved for real provider failures. Also added SEND_ENABLED (default false) and ENVIRONMENT config fields for the real Slack send gate (used by logic/slack.js, next commit). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
40 lines
1.7 KiB
JavaScript
40 lines
1.7 KiB
JavaScript
function toBool(value, defaultValue) {
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if (value === undefined || value === null || value === '') return defaultValue;
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return String(value).toLowerCase() !== 'false';
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}
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function toNumber(value, defaultValue) {
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const n = Number(value);
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return Number.isFinite(n) ? n : defaultValue;
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}
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function parseConfig(env) {
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const e = env || {};
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return {
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aiEnabled: toBool(e.AI_ENABLED, true),
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aiProvider: e.AI_PROVIDER || 'openai',
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aiModel: e.AI_MODEL || 'gpt-4o-mini',
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candidatePoolSize: toNumber(e.CANDIDATE_POOL_SIZE, 60),
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// Igual a candidatePoolSize por padrao -- nenhum candidato elegivel deve ficar sem
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// analise semantica por um cap artificial (missao "finalizacao para producao", secao
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// 13). AI_FALLBACK fica reservado para falha real de provider/timeout, nao para
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// economia de chamadas dentro de um pool que o cache ja deixou barato de repetir.
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aiMaxCandidates: toNumber(e.AI_MAX_CANDIDATES, 60),
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topN: Math.min(toNumber(e.TOP_N, 10), 10),
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cooldownDays: toNumber(e.COOLDOWN_DAYS, 1),
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aiConfidenceThreshold: toNumber(e.AI_CONFIDENCE_THRESHOLD, 0.6),
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aiMaxContextChars: toNumber(e.AI_MAX_CONTEXT_CHARS, 4000),
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devMode: toBool(e.DEV_MODE, true),
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shadowMode: toBool(e.SHADOW_MODE, true),
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diasSemInteracaoAlerta: toNumber(e.DIAS_SEM_INTERACAO_ALERTA, 2),
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horasSlaRisco: toNumber(e.HORAS_SLA_RISCO, 8),
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// Gate explicito de envio real -- nunca depende de editar codigo pra habilitar/desabilitar
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// (missao "finalizacao para producao", secao 22). Default false: so quem liga
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// explicitamente no Config node manda mensagem de verdade.
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environment: e.ENVIRONMENT || 'dev',
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sendEnabled: toBool(e.SEND_ENABLED, false),
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};
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}
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module.exports = { parseConfig, toBool, toNumber };
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