GustavoandClaude Sonnet 5
edecd271b9
Found while syncing this cycle's fixes to the live DEV workflow and
preparing Run A: tools/build-workflow.js's readLogicSource() only inlines
whatever a node's own `@requires` header lists -- it does not resolve
transitive dependencies. context.js started doing `require('./normalize')`
earlier this cycle, but the three node drivers that need normalizeTicket/
buildAiContextText (which call normalizeGlpiText internally) still only
declared `@requires context.js`, never `normalize.js` itself.
The result compiles fine (new Function(...) syntax-checks pass -- a
ReferenceError is a runtime error, not a syntax error) but would throw
"normalizeGlpiText is not defined" the moment any of these three nodes
actually ran:
- Code - Mesclar Contexto e Calcular Hash (merge-context-hash.node.js)
- Code - Normalizar Candidatos Base (normalize-candidates.node.js)
- Code - Preparar Prompt IA (prepare-ai-prompt.node.js)
This never surfaced in Run 1 (prior session) because normalize.js/the
descricao field didn't exist yet at that point, and it didn't surface in
this cycle's local test suite because node--test only exercises the pure
logic/*.js modules directly (with real requires), never the inlined,
concatenated jsCode a node actually runs in n8n.
Fixed by adding normalize.js explicitly to each of the three headers,
matching the codebase's existing convention for multi-file deps (e.g.
compute-score.node.js already lists `@requires cooldown.js score.js`
together instead of relying on any transitive resolution).
Added a regression test that scans every generated Code node for calls to
normalizeGlpiText/normalizeTicket/buildAiContextText and asserts the
normalizeGlpiText function definition is actually present in that same
inlined source -- would have caught this before it ever reached DEV.
102/102 tests passing (was 101/101 -- +1 new regression test).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
58 lines
2.9 KiB
JavaScript
58 lines
2.9 KiB
JavaScript
// @requires normalize.js context.js
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const VALID_CLASSIFICATIONS = [
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'ACTIONABLE_NOW', 'UNASSIGNED_ACTIONABLE', 'WAITING_REQUESTER', 'WAITING_VENDOR',
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'WAITING_APPROVAL', 'SCHEDULED', 'DEPENDENCY_BLOCKED', 'NEEDS_COORDINATION',
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'PROJECT_LONG_TERM', 'DUPLICATE_OR_OBSOLETE', 'INSUFFICIENT_CONTEXT',
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];
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const systemPrompt = [
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'Voce e um analisador operacional de chamados de TI (GLPI). Voce NAO e um atendente e NAO conversa com o usuario.',
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'Use SOMENTE as informacoes fornecidas abaixo sobre o chamado. Nunca invente fatos.',
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'Distinga evidencia (o que esta escrito no chamado) de inferencia (sua conclusao).',
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'SLA vencido sozinho NAO e evidencia de que existe uma acao executavel agora.',
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'Idade do chamado sozinha NAO e evidencia de acionabilidade.',
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'Identifique: existe acao executavel hoje? quem pode executar? existe bloqueio? quem segura o bloqueio? qual a proxima acao concreta? existe data conhecida para revisao? existe evidencia nos apontamentos que justifique a conclusao?',
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'Se a informacao for insuficiente para decidir com confianca, use a classificacao INSUFFICIENT_CONTEXT e confidence baixo -- nao invente uma acao.',
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`Responda em JSON estrito com os campos: classification (uma de: ${VALID_CLASSIFICATIONS.join(', ')}), actionable_today (boolean), confidence (0 a 1), blocker_type, waiting_for, next_action (curto, poucas palavras, sem paragrafo), suggested_action_type, business_risk (low|medium|high), reason (uma frase), evidence (lista curta de evidencias textuais encontradas).`,
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].join('\n');
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return $input.all().map((item) => {
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const data = item.json;
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const userPrompt = buildAiContextText(data.ticket, data.config.aiMaxContextChars);
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const requestBody = {
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model: data.config.aiModel,
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temperature: 0.1,
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response_format: {
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type: 'json_schema',
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json_schema: {
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name: 'ticket_classification',
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strict: true,
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schema: {
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type: 'object',
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additionalProperties: false,
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properties: {
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classification: { type: 'string', enum: VALID_CLASSIFICATIONS },
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actionable_today: { type: 'boolean' },
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confidence: { type: 'number' },
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blocker_type: { type: ['string', 'null'] },
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waiting_for: { type: ['string', 'null'] },
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next_action: { type: 'string' },
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suggested_action_type: { type: 'string' },
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business_risk: { type: 'string' },
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reason: { type: 'string' },
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evidence: { type: 'array', items: { type: 'string' } },
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},
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required: ['classification', 'actionable_today', 'confidence', 'blocker_type', 'waiting_for', 'next_action', 'suggested_action_type', 'business_risk', 'reason', 'evidence'],
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},
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},
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},
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userPrompt },
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],
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};
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return { json: { ...data, requestBody } };
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});
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