GustavoandClaude Sonnet 5
a99a25cb1a
- 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>
34 lines
1.6 KiB
JavaScript
34 lines
1.6 KiB
JavaScript
// Este node roda depois de "Merge - Unir Shadow" (append: Code - Montar Digest Coordenacao +
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// MySQL - Legado Top 10 (Shadow)), que existe so para GARANTIR que os dois ja executaram --
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// os dados continuam sendo lidos por nome, nao pelo item mesclado, para nao depender de ordem.
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const digestData = $('Code - Montar Digest Coordenacao').first().json; // { mensagem, selected, excluded, dateStr, digest, changedBlocked }
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const legacyRows = $('MySQL - Legado Top 10 (Shadow)').all().map((item) => item.json);
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const legacyIds = legacyRows.map((row) => Number(row.id));
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const v2Ids = digestData.selected.map((item) => Number(item.ticket.id));
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const added = v2Ids.filter((id) => !legacyIds.includes(id));
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const removed = legacyIds.filter((id) => !v2Ids.includes(id));
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const addedReasons = added.map((id) => {
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const item = digestData.selected.find((s) => Number(s.ticket.id) === id);
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return { id, motivo: item ? `${item.aiClassification.classification} - ${item.aiClassification.reason}` : 'desconhecido' };
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});
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const removedReasons = removed.map((id) => {
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const excludedItem = digestData.excluded.find((e) => Number(e.ticket.id) === id);
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return { id, motivo: excludedItem ? (excludedItem.exclusionReason || excludedItem.aiClassification.classification) : 'nao estava nos candidatos V2' };
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});
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return [{
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json: {
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run_at: Date.now(),
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legacy_ids: JSON.stringify(legacyIds),
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v2_ids: JSON.stringify(v2Ids),
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added: JSON.stringify(added),
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removed: JSON.stringify(removed),
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summary: JSON.stringify({ addedReasons, removedReasons }),
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mensagem: digestData.mensagem,
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digest: digestData.digest,
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},
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}];
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