Files
SLACK_COORD_RELATORIO/n8n/nodes/decide-needs-ai.node.js
T
GustavoandClaude Sonnet 5 a99a25cb1a feat(v2): complete n8n workflow template (36 nodes) covering full V2 pipeline + shadow branch
- 14 new Code node drivers implementing the pipeline stages: normalize
  candidates, build context SQL, merge context + hash, decide AI need,
  prepare AI prompt, validate AI response, AI-disabled fallback, reuse
  cached classification, compute score, select top 10, prepare memory/
  envio records, build message/digest, compare legacy x V2, debug panel.
- Consolidated the two context queries (followups/tasks) into a single
  UNION ALL query tagged by tipo, and added a "Merge - Unir Shadow"
  synchronization node before comparing legacy x V2: n8n does not
  guarantee relative execution order between sibling branches that only
  share an early common ancestor, so cross-branch data was only safe to
  read by name once a real Merge node forced both to complete first.
- Reordered score calculation before the memory upsert (score is needed
  in the persisted row) and turned both Data Table writes into
  side-effect branches that fan out from the main path instead of
  gating it, so the Data Table node's own output shape never needs to
  carry the full pipeline state forward.
- Fixed a duplicate-identifier bug in the build script: score.js's
  require('./cooldown') survived inlining and collided with
  cooldown.js's own computeCooldown function in the same Code node
  scope. build-workflow.js now strips inter-module requires when
  inlining, and a new test syntax-checks every generated jsCode string
  plus asserts no leftover require() calls.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-24 15:31:44 -03:00

44 lines
1.4 KiB
JavaScript

// @requires config.js cache.js
const config = parseConfig($env);
const now = Date.now();
const items = $input.all().map((item) => item.json); // { ticket, contextHash }
const memoryRows = $('Data Table - Buscar Memoria').all().map((item) => item.json);
const memoryByTicket = {};
for (const row of memoryRows) memoryByTicket[String(row.ticket_id)] = row;
const withDecision = items.map((item) => {
const memory = memoryByTicket[String(item.ticket.id)] || null;
const analysis = needsReanalysis({ memory, currentHash: item.contextHash, now });
return { ticket: item.ticket, contextHash: item.contextHash, memory, needsAiReason: analysis.reason, needsAiRaw: analysis.needsAi };
});
const needingAi = withDecision
.filter((item) => item.needsAiRaw)
.sort((a, b) => (Number(b.ticket.score_criticidade) || 0) - (Number(a.ticket.score_criticidade) || 0));
const allowedIds = new Set(needingAi.slice(0, config.aiMaxCandidates).map((item) => item.ticket.id));
return withDecision.map((item) => {
let resolucao;
if (!item.needsAiRaw) {
resolucao = 'cache';
} else if (allowedIds.has(item.ticket.id)) {
resolucao = 'ia';
} else {
resolucao = 'fallback_cap';
}
return {
json: {
ticket: item.ticket,
contextHash: item.contextHash,
memory: item.memory,
needsAiReason: item.needsAiReason,
resolucao,
precisa_ia: resolucao === 'ia',
config,
now,
},
};
});