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>
This commit is contained in:
Gustavo
2026-08-24 15:31:44 -03:00
co-authored by Claude Sonnet 5
parent ec596a29a8
commit a99a25cb1a
24 changed files with 1818 additions and 76 deletions
@@ -1248,8 +1248,7 @@ git commit -m "feat(v2): add short message and coordination digest builders"
**Files:**
- Create: `sql/candidatos_v2_glpi.sql`
- Create: `sql/contexto_followups_glpi.sql`
- Create: `sql/contexto_tarefas_glpi.sql`
- Create: `sql/contexto_glpi.sql`
- Create: `n8n/nodes/build-sql-candidatos.node.js`
- Create: `n8n/nodes/build-sql-legado.node.js`
- Test: `n8n/nodes/build-sql-candidatos.node.test.js`
@@ -1344,26 +1343,24 @@ ORDER BY score_criticidade DESC, sla_vencido DESC, dias_sem_interacao DESC, dias
LIMIT {CANDIDATE_POOL_SIZE};
```
- [ ] **Step 2: Criar `sql/contexto_followups_glpi.sql` e `sql/contexto_tarefas_glpi.sql`**
`sql/contexto_followups_glpi.sql`:
- [ ] **Step 2: Criar `sql/contexto_glpi.sql`** — followups e tarefas numa unica query (`UNION ALL`, marcada por `tipo`), para que o node MySQL de contexto seja um unico ancestral direto de `Code - Mesclar Contexto e Calcular Hash` (evita depender da ordem relativa de dois nodes MySQL irmaos sem sincronizacao garantida pelo n8n).
```sql
-- Followups publicos dos candidatos (IDs interpolados pelo node, validados como inteiros).
SELECT items_id AS tickets_id, id, date, content AS texto
-- Contexto (followups publicos + tarefas) dos candidatos, numa unica query
-- para garantir que o node de merge so roda depois que os dois tipos ja chegaram.
-- Coluna de status de glpi_tickettasks (state) a confirmar via DESCRIBE quando a
-- credencial MySQL estiver disponivel (Task 14) -- ver nota no plano.
SELECT 'followup' AS tipo, items_id AS tickets_id, id, date, content AS texto, NULL AS status
FROM glpi_itilfollowups
WHERE itemtype = 'Ticket' AND is_private = 0 AND items_id IN ({IDS})
ORDER BY items_id, date ASC;
```
`sql/contexto_tarefas_glpi.sql`:
UNION ALL
```sql
-- Tarefas dos candidatos. Coluna de status a confirmar via DESCRIBE glpi_tickettasks
-- quando a credencial MySQL estiver disponivel (Task 14) -- ver nota no plano.
SELECT tickets_id, id, date, state AS status, content AS texto
SELECT 'task' AS tipo, tickets_id, id, date, content AS texto, state AS status
FROM glpi_tickettasks
WHERE tickets_id IN ({IDS})
ORDER BY tickets_id, date ASC;
```
@@ -1439,7 +1436,7 @@ Expected: PASS
- [ ] **Step 6: Commit**
```bash
git add sql/candidatos_v2_glpi.sql sql/contexto_followups_glpi.sql sql/contexto_tarefas_glpi.sql n8n/nodes/build-sql-candidatos.node.js n8n/nodes/build-sql-legado.node.js n8n/nodes/build-sql-candidatos.node.test.js
git add sql/candidatos_v2_glpi.sql sql/contexto_glpi.sql n8n/nodes/build-sql-candidatos.node.js n8n/nodes/build-sql-legado.node.js n8n/nodes/build-sql-candidatos.node.test.js
git commit -m "feat(v2): candidate pool SQL (admin exclusion preserved, no hard LIMIT 10) + verbatim legacy SQL for shadow mode"
```
@@ -1536,8 +1533,7 @@ function buildDriverCode(driverRelativePath) {
driver = driver.replace('/* __SQL_CANDIDATOS_V2__ */', sqlAsJsTemplateLiteral('sql/candidatos_v2_glpi.sql'));
driver = driver.replace('/* __SQL_LEGADO_V1_VERBATIM__ */', sqlAsJsTemplateLiteral('sql/top_10_chamados_abertos_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO_FOLLOWUPS__ */', sqlAsJsTemplateLiteral('sql/contexto_followups_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO_TAREFAS__ */', sqlAsJsTemplateLiteral('sql/contexto_tarefas_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO__ */', sqlAsJsTemplateLiteral('sql/contexto_glpi.sql'));
const logicBlock = requiredLogicFiles.length ? `${inlinedLogic(requiredLogicFiles)}\n\n` : '';
return `${logicBlock}${driver.trim()}`;
@@ -1600,6 +1596,8 @@ git commit -m "feat(v2): add build script that inlines tested logic/*.js into n8
- Create: `n8n/nodes/build-coordination-digest.node.js`
- Create: `n8n/nodes/compare-legacy-v2.node.js`
- Create: `n8n/nodes/debug-panel.node.js`
- Create: `n8n/nodes/prepare-memoria-analise-record.node.js` (prepara a linha para `Data Table - Upsert Memoria Analise`, ramo efeito-colateral)
- Create: `n8n/nodes/prepare-envio-record.node.js` (prepara a linha para `Data Table - Registrar Envio`, filtra `_grupo==='selected'`, ramo efeito-colateral)
**Interfaces:**
- Cada driver assume que as funções de `logic/*.js` listadas em `// @requires` já estão no escopo (inlined pelo build script da Task 12). Cada um consome `$input.all()`/`$input.first()` (shape n8n padrão) e os nodes anteriores via `$('Nome do Node')`, seguindo exatamente o padrão já usado no V1 e no workflow `[DEV] GTI - GLPI x WhatsApp v7`.
@@ -1612,8 +1610,7 @@ Manual Trigger
-> Code - Montar SQL Candidatos -> MySQL - Buscar Candidatos
-> Code - Normalizar Candidatos Base
-> Code - Montar SQL Contexto
-> MySQL - Buscar Followups
-> MySQL - Buscar Tarefas
-> MySQL - Buscar Contexto (followups + tarefas numa unica query UNION ALL, marcada por `tipo` -- evita depender da ordem relativa de dois nodes MySQL irmaos)
-> Code - Mesclar Contexto e Calcular Hash
-> Data Table - Buscar Memoria (get, returnAll)
-> Code - Decidir Necessidade de IA
@@ -1622,16 +1619,20 @@ Manual Trigger
[true] -> Code - Preparar Prompt IA -> HTTP - OpenAI Classificar Chamado -> Code - Validar Classificacao IA -> Merge - Consolidar Classificacoes (input 0)
[false] -> Code - Fallback IA Desligada -> Merge - Consolidar Classificacoes (input 1)
[false] -> Code - Reusar Classificacao em Cache -> Merge - Consolidar Classificacoes (input 2)
Merge - Consolidar Classificacoes
-> Data Table - Upsert Memoria Analise
-> Code - Calcular Score
-> Code - Selecionar Top 10 (Run Once for All Items)
-> Data Table - Registrar Envio
-> Code - Montar Mensagem Curta
-> Code - Montar Digest Coordenacao
-> Code - Comparar Legacy x V2
-> Data Table - Registrar Shadow Run
-> Code - Montar SQL Legado -> MySQL - Legado Top 10 (Shadow) [alimenta Code - Comparar Legacy x V2 via $('MySQL - Legado Top 10 (Shadow)').all(), mesmo padrao de leitura cruzada ja usado no V1/WhatsApp workflow]
Merge - Consolidar Classificacoes (mode: append)
-> Code - Calcular Score
-> Code - Selecionar Top 10 (Run Once for All Items) [caminho principal]
-> Code - Montar Mensagem Curta
-> Code - Montar Digest Coordenacao
-> Merge - Unir Shadow (append, input 0)
-> Code - Preparar Registro Memoria Analise -> Data Table - Upsert Memoria Analise [ramo efeito-colateral, sem continuidade]
(a partir de Code - Selecionar Top 10, tambem:)
-> Code - Preparar Registro de Envio (filtra _grupo==='selected') -> Data Table - Registrar Envio [ramo efeito-colateral]
-> Code - Montar SQL Legado -> MySQL - Legado Top 10 (Shadow) -> Merge - Unir Shadow (append, input 1)
Merge - Unir Shadow (append)
-> Code - Comparar Legacy x V2 [le os dados por nome -- $('Code - Montar Digest Coordenacao').first() e $('MySQL - Legado Top 10 (Shadow)').all() -- o Merge so existe para GARANTIR que os dois ja executaram antes deste node rodar; ler pelo item mesclado seria fragil]
-> Data Table - Registrar Shadow Run
Debug - Ver Painel (Webhook GET, path "coordenador-glpi-v2-debug")
-> Data Table - Buscar Shadow Runs Recentes (get, returnAll, sortBy run_at:desc, limit implicito pelos ultimos N)
@@ -1641,8 +1642,8 @@ Debug - Ver Painel (Webhook GET, path "coordenador-glpi-v2-debug")
- [ ] **Step 1: Para cada node de Code listado acima, criar o arquivo driver em `n8n/nodes/` seguindo o padrão dos já criados na Task 11** (comentário `// @requires <logic files>` no topo quando aplicável; corpo usa `$input`, `$('Nome do Node')`, `$env`, retorna `return [{ json: {...} }];` ou, para o de seleção final, roda uma vez para todos os itens: usar `$input.all()` e retornar múltiplos itens). Cada driver deve:
- `Code - Normalizar Candidatos Base`: `@requires context.js` — mapeia `$input.all()` com `normalizeTicket(item.json, { followups: [], tasks: [] })`.
- `Code - Montar SQL Contexto`: monta as duas queries de `sql/contexto_followups_glpi.sql`/`contexto_tarefas_glpi.sql` substituindo `{IDS}` pelos ids normalizados (`Number(id)`, `join(',')`, nunca concatenando string crua do GLPI — todos os ids já vêm como inteiro da query anterior).
- `Code - Mesclar Contexto e Calcular Hash`: `@requires hash.js` — junta `$('Code - Normalizar Candidatos Base').all()` com `$('MySQL - Buscar Followups').all()` e `$input.all()` (tarefas), agrupa por `tickets_id`, chama `buildContextFingerprint`.
- `Code - Montar SQL Contexto`: monta a query única de `sql/contexto_glpi.sql` substituindo `{IDS}` pelos ids normalizados (`Number(id)`, `join(',')`, nunca concatenando string crua do GLPI — todos os ids já vêm como inteiro da query anterior).
- `Code - Mesclar Contexto e Calcular Hash`: `@requires context.js hash.js` — junta `$('Code - Normalizar Candidatos Base').all()` com `$input.all()` (linhas de `MySQL - Buscar Contexto`, separadas por `tipo==='followup'|'task'`), agrupa por `tickets_id`, chama `buildContextFingerprint`.
- `Code - Decidir Necessidade de IA`: `@requires cache.js` — para cada candidato, busca a linha de memória correspondente (de `$('Data Table - Buscar Memoria').all()`) e chama `needsReanalysis`; ordena por `score_criticidade` e limita a `config.aiMaxCandidates` os que vão para IA; os excedentes recebem `precisa_ia:false` com motivo `ai_max_candidates_cap` e caem no branch de fallback determinístico (não ficam sem classificação).
- `Code - Preparar Prompt IA`: `@requires context.js` — monta `system` (regras da seção 16 da missão: não inventar fatos, distinguir evidência de inferência, JSON estrito, SLA vencido sozinho não é evidência de acionabilidade, idade sozinha não é acionabilidade) e `user` = `buildAiContextText(ticket, config.aiMaxContextChars)`.
- `Code - Validar Classificacao IA`: `@requires classification.js, fallback.js` — tenta `JSON.parse` da resposta; se falhar ou `validateAiClassification` retornar `valid:false`, usa `buildFallbackClassification('invalid_json')`; se o node HTTP anterior tiver `error` (timeout/HTTP≠2xx, capturado via `continueOnFail`), usa `buildFallbackClassification('ai_error')`.
@@ -1656,7 +1657,7 @@ Debug - Ver Painel (Webhook GET, path "coordenador-glpi-v2-debug")
- `Code - Montar Painel Debug`: monta um HTML/JSON simples com a última linha de `coordenador_glpi_shadow_runs` + contagem de memória (mesmo padrão do node `Debug - Montar Painel` do workflow `[DEV] GTI - GLPI x WhatsApp v7`).
- [ ] **Step 2: Adicionar ao `n8n/workflow.template.json` todos os nodes não-Code com seus `parameters` finais**:
- `MySQL - Buscar Candidatos`, `MySQL - Buscar Followups`, `MySQL - Buscar Tarefas`, `MySQL - Legado Top 10 (Shadow)`: `type: n8n-nodes-base.mySql`, `parameters: { operation: 'executeQuery', query: "={{ $json.query }}" }`, `credentials: { mySql: { name: 'MySQL GLPI - Coordenador' } }` (sem `id` — resolvido na Task 14 quando o id real existir).
- `MySQL - Buscar Candidatos`, `MySQL - Buscar Contexto`, `MySQL - Legado Top 10 (Shadow)`: `type: n8n-nodes-base.mySql`, `parameters: { operation: 'executeQuery', query: "={{ $json.query }}" }`, `credentials: { mySql: { name: 'MySQL GLPI - Coordenador' } }` (sem `id` — resolvido na Task 14 quando o id real existir).
- `Data Table - Buscar Memoria`: `type: n8n-nodes-base.dataTable`, `parameters: { resource: 'row', operation: 'get', dataTableId: { mode: 'name', value: 'coordenador_glpi_memoria' }, returnAll: true }`.
- `Data Table - Upsert Memoria Analise` e `Data Table - Registrar Envio`: `operation: 'upsert'` no mesmo `dataTableId`, campos mapeados via `columns` (resourceMapper — ver Task 14 para o shape exato, resolvido com `n8n_validate_workflow`/`n8n_autofix_workflow`).
- `Data Table - Registrar Shadow Run` e `Data Table - Buscar Shadow Runs Recentes`: mesma lógica sobre `coordenador_glpi_shadow_runs`.
@@ -1692,7 +1693,7 @@ git commit -m "feat(v2): complete n8n workflow template (25+ nodes) covering ful
- [ ] **Step 1: Confirmar a credencial MySQL** — chamar `n8n_manage_credentials` (`action: list`) e localizar `MySQL GLPI - Coordenador`. Se ainda não existir, parar aqui e avisar o usuário (não simular/hardcodar). Se existir, anotar o `id`.
- [ ] **Step 2: Introspecção obrigatória do schema real (nunca assumir)** — com a credencial MySQL viva, rodar via node `mysql` temporário (`n8n_test_workflow` num workflow mínimo de 1 node, ou reaproveitando `MySQL - Buscar Candidatos` já criado) as queries:
- `SHOW COLUMNS FROM glpi_tickettasks;` — confirmar se o campo de status é `state` (assumido no Task 11) ou outro nome; ajustar `sql/contexto_tarefas_glpi.sql` se necessário.
- `SHOW COLUMNS FROM glpi_tickettasks;` — confirmar se o campo de status é `state` (assumido no Task 11) ou outro nome; ajustar `sql/contexto_glpi.sql` se necessário.
- `SHOW COLUMNS FROM glpi_itilfollowups;` — confirmar `content`/`date`/`is_private` existem como assumido.
- Rodar `sql/candidatos_v2_glpi.sql` (com `{CANDIDATE_POOL_SIZE}`→`5` para teste rápido) e conferir que retorna linhas plausíveis.
- Registrar tudo (colunas confirmadas, ajustes feitos) em `docs/superpowers/notes/2026-08-24-schema-introspection.md`.
File diff suppressed because one or more lines are too long
+2
View File
@@ -0,0 +1,2 @@
// @requires fallback.js
return $input.all().map((item) => ({ json: { ...item.json, aiClassification: buildFallbackClassification('ai_disabled') } }));
@@ -0,0 +1,14 @@
// @requires message.js
const data = $input.first().json; // { mensagem, selected, excluded, dateStr }
const changedBlocked = data.excluded.filter((item) => {
const isCoordination = item.exclusionReason === 'needs_coordination' || item.aiClassification.classification === 'NEEDS_COORDINATION';
if (!isCoordination) return false;
const memory = item.memory;
if (!memory) return true;
return memory.ai_classification !== item.aiClassification.classification || memory.last_ai_reason !== item.aiClassification.reason;
});
const digest = buildCoordinationDigest(changedBlocked, data.dateStr);
return [{ json: { ...data, digest, changedBlocked } }];
+8
View File
@@ -0,0 +1,8 @@
const candidatos = $input.all().map((item) => item.json);
const ids = candidatos.map((c) => Number(c.id)).filter((id) => Number.isInteger(id));
const idsList = ids.length ? ids.join(',') : '0';
const queryTemplate = /* __SQL_CONTEXTO__ */;
const query = queryTemplate.replaceAll('{IDS}', idsList);
return [{ json: { query, candidateIds: ids } }];
+9
View File
@@ -0,0 +1,9 @@
// @requires message.js
const items = $input.all().map((item) => item.json);
const selected = items.filter((data) => data._grupo === 'selected').sort((a, b) => b.score - a.score);
const excluded = items.filter((data) => data._grupo === 'excluded');
const dateStr = new Date().toLocaleDateString('pt-BR', { timeZone: 'America/Sao_Paulo' });
const mensagem = buildTopMessage(selected, dateStr, selected.length ? selected[0].config : {});
return [{ json: { mensagem, selected, excluded, dateStr } }];
+33
View File
@@ -0,0 +1,33 @@
// Este node roda depois de "Merge - Unir Shadow" (append: Code - Montar Digest Coordenacao +
// MySQL - Legado Top 10 (Shadow)), que existe so para GARANTIR que os dois ja executaram --
// os dados continuam sendo lidos por nome, nao pelo item mesclado, para nao depender de ordem.
const digestData = $('Code - Montar Digest Coordenacao').first().json; // { mensagem, selected, excluded, dateStr, digest, changedBlocked }
const legacyRows = $('MySQL - Legado Top 10 (Shadow)').all().map((item) => item.json);
const legacyIds = legacyRows.map((row) => Number(row.id));
const v2Ids = digestData.selected.map((item) => Number(item.ticket.id));
const added = v2Ids.filter((id) => !legacyIds.includes(id));
const removed = legacyIds.filter((id) => !v2Ids.includes(id));
const addedReasons = added.map((id) => {
const item = digestData.selected.find((s) => Number(s.ticket.id) === id);
return { id, motivo: item ? `${item.aiClassification.classification} - ${item.aiClassification.reason}` : 'desconhecido' };
});
const removedReasons = removed.map((id) => {
const excludedItem = digestData.excluded.find((e) => Number(e.ticket.id) === id);
return { id, motivo: excludedItem ? (excludedItem.exclusionReason || excludedItem.aiClassification.classification) : 'nao estava nos candidatos V2' };
});
return [{
json: {
run_at: Date.now(),
legacy_ids: JSON.stringify(legacyIds),
v2_ids: JSON.stringify(v2Ids),
added: JSON.stringify(added),
removed: JSON.stringify(removed),
summary: JSON.stringify({ addedReasons, removedReasons }),
mensagem: digestData.mensagem,
digest: digestData.digest,
},
}];
+14
View File
@@ -0,0 +1,14 @@
// @requires cooldown.js score.js
return $input.all().map((item) => {
const data = item.json;
const contextChanged = data.resolucao !== 'cache';
const result = computeScore({
ticket: data.ticket,
aiClassification: data.aiClassification,
memory: data.memory,
contextChanged,
config: data.config,
now: data.now,
});
return { json: { ...data, contextChanged, scoreResult: result } };
});
+11
View File
@@ -0,0 +1,11 @@
const rows = $input.all().map((item) => item.json);
rows.sort((a, b) => Number(b.run_at || 0) - Number(a.run_at || 0));
const latest = rows[0] || null;
const painel = {
gerado_em: new Date().toISOString(),
ultima_execucao_shadow: latest,
total_execucoes_recentes: rows.length,
};
return [{ json: painel }];
+43
View File
@@ -0,0 +1,43 @@
// @requires config.js cache.js
const config = parseConfig($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,
},
};
});
+28
View File
@@ -0,0 +1,28 @@
// @requires context.js hash.js
const candidatosBase = $('Code - Normalizar Candidatos Base').all().map((item) => item.json);
const contextRows = $input.all().map((item) => item.json);
function groupBy(rows, key) {
const map = {};
for (const row of rows) {
const k = String(row[key]);
if (!map[k]) map[k] = [];
map[k].push(row);
}
return map;
}
const followupRows = contextRows.filter((row) => row.tipo === 'followup');
const taskRows = contextRows.filter((row) => row.tipo === 'task');
const followupsByTicket = groupBy(followupRows, 'tickets_id');
const tasksByTicket = groupBy(taskRows, 'tickets_id');
return candidatosBase.map((base) => {
const idKey = String(base.id);
const followups = (followupsByTicket[idKey] || []).map((f) => ({ id: f.id, date: f.date, texto: f.texto }));
const tasks = (tasksByTicket[idKey] || []).map((t) => ({ id: t.id, date: t.date, status: t.status, texto: t.texto }));
const ticket = normalizeTicket(base, { followups, tasks });
const contextHash = buildContextFingerprint(ticket);
return { json: { ticket, contextHash } };
});
+3
View File
@@ -0,0 +1,3 @@
// @requires context.js
const items = $input.all();
return items.map((item) => ({ json: normalizeTicket(item.json, { followups: [], tasks: [] }) }));
+57
View File
@@ -0,0 +1,57 @@
// @requires context.js
const VALID_CLASSIFICATIONS = [
'ACTIONABLE_NOW', 'UNASSIGNED_ACTIONABLE', 'WAITING_REQUESTER', 'WAITING_VENDOR',
'WAITING_APPROVAL', 'SCHEDULED', 'DEPENDENCY_BLOCKED', 'NEEDS_COORDINATION',
'PROJECT_LONG_TERM', 'DUPLICATE_OR_OBSOLETE', 'INSUFFICIENT_CONTEXT',
];
const systemPrompt = [
'Voce e um analisador operacional de chamados de TI (GLPI). Voce NAO e um atendente e NAO conversa com o usuario.',
'Use SOMENTE as informacoes fornecidas abaixo sobre o chamado. Nunca invente fatos.',
'Distinga evidencia (o que esta escrito no chamado) de inferencia (sua conclusao).',
'SLA vencido sozinho NAO e evidencia de que existe uma acao executavel agora.',
'Idade do chamado sozinha NAO e evidencia de acionabilidade.',
'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?',
'Se a informacao for insuficiente para decidir com confianca, use a classificacao INSUFFICIENT_CONTEXT e confidence baixo -- nao invente uma acao.',
`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).`,
].join('\n');
return $input.all().map((item) => {
const data = item.json;
const userPrompt = buildAiContextText(data.ticket, data.config.aiMaxContextChars);
const requestBody = {
model: data.config.aiModel,
temperature: 0.1,
response_format: {
type: 'json_schema',
json_schema: {
name: 'ticket_classification',
strict: true,
schema: {
type: 'object',
additionalProperties: false,
properties: {
classification: { type: 'string', enum: VALID_CLASSIFICATIONS },
actionable_today: { type: 'boolean' },
confidence: { type: 'number' },
blocker_type: { type: ['string', 'null'] },
waiting_for: { type: ['string', 'null'] },
next_action: { type: 'string' },
suggested_action_type: { type: 'string' },
business_risk: { type: 'string' },
reason: { type: 'string' },
evidence: { type: 'array', items: { type: 'string' } },
},
required: ['classification', 'actionable_today', 'confidence', 'blocker_type', 'waiting_for', 'next_action', 'suggested_action_type', 'business_risk', 'reason', 'evidence'],
},
},
},
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userPrompt },
],
};
return { json: { ...data, requestBody } };
});
+22
View File
@@ -0,0 +1,22 @@
const ONE_DAY = 24 * 60 * 60 * 1000;
return $input.all()
.filter((item) => item.json._grupo === 'selected')
.map((item) => {
const data = item.json;
const memory = data.memory;
const sentRecently = memory && memory.last_sent_at != null && (data.now - memory.last_sent_at) < ONE_DAY * 1.5;
const consecutiveDaysSent = sentRecently && !data.contextChanged ? (Number(memory.consecutive_days_sent || 0) + 1) : 1;
const timesSent = (memory ? Number(memory.times_sent || 0) : 0) + 1;
const timesSent30d = (memory ? Number(memory.times_sent_30d || 0) : 0) + 1;
return {
json: {
ticket_id: data.ticket.id,
last_sent_at: data.now,
times_sent: timesSent,
times_sent_30d: timesSent30d,
consecutive_days_sent: consecutiveDaysSent,
updated_at: data.now,
},
};
});
@@ -0,0 +1,27 @@
const items = $input.all().map((item) => item.json);
const ONE_DAY = 24 * 60 * 60 * 1000;
return items.map((data) => {
const cls = data.aiClassification.classification;
let nextReviewAt = null;
if (cls === 'WAITING_REQUESTER' || cls === 'WAITING_VENDOR') nextReviewAt = data.now + 3 * ONE_DAY;
else if (cls === 'SCHEDULED' || cls === 'NEEDS_COORDINATION') nextReviewAt = data.now + 2 * ONE_DAY;
return {
json: {
ticket_id: data.ticket.id,
last_analyzed_at: data.contextChanged ? data.now : (data.memory ? data.memory.last_analyzed_at : data.now),
last_context_hash: data.contextHash,
last_meaningful_change_at: data.contextChanged ? data.now : (data.memory ? data.memory.last_meaningful_change_at : data.now),
ai_classification: cls,
ai_confidence: data.aiClassification.confidence,
blocker_type: data.aiClassification.blocker_type,
waiting_for: data.aiClassification.waiting_for,
next_action: data.aiClassification.next_action,
next_review_at: nextReviewAt,
last_score: data.scoreResult.score,
last_ai_reason: data.aiClassification.reason,
updated_at: data.now,
},
};
});
@@ -0,0 +1,27 @@
// @requires fallback.js
return $input.all().map((item) => {
const data = item.json;
if (data.resolucao === 'cache' && data.memory) {
const m = data.memory;
return {
json: {
...data,
aiClassification: {
classification: m.ai_classification,
actionable_today: m.ai_classification === 'ACTIONABLE_NOW' || m.ai_classification === 'UNASSIGNED_ACTIONABLE',
confidence: Number(m.ai_confidence || 0),
blocker_type: m.blocker_type || null,
waiting_for: m.waiting_for || null,
next_action: m.next_action || 'Revisar chamado',
suggested_action_type: 'technical_action',
business_risk: 'medium',
reason: m.last_ai_reason || 'Classificacao reaproveitada do cache.',
evidence: [],
is_fallback: false,
fallback_reason: null,
},
},
};
}
return { json: { ...data, aiClassification: buildFallbackClassification('ai_max_candidates_cap') } };
});
+24
View File
@@ -0,0 +1,24 @@
// @requires config.js diversity.js
const items = $input.all().map((item) => item.json);
const scored = items.map((data) => ({
ticket: data.ticket,
score: data.scoreResult.score,
group: data.scoreResult.group,
excludedFromTop10: data.scoreResult.excludedFromTop10,
exclusionReason: data.scoreResult.exclusionReason,
aiClassification: data.aiClassification,
memory: data.memory,
contextHash: data.contextHash,
contextChanged: data.contextChanged,
config: data.config,
now: data.now,
}));
const config = scored.length ? scored[0].config : parseConfig($env);
const { selected, excluded } = selectTop(scored, config.topN, config);
const selectedOut = selected.map((item) => ({ json: { ...item, _grupo: 'selected' } }));
const excludedOut = excluded.map((item) => ({ json: { ...item, _grupo: 'excluded' } }));
return [...selectedOut, ...excludedOut];
+25
View File
@@ -0,0 +1,25 @@
// @requires classification.js fallback.js
const promptItems = $('Code - Preparar Prompt IA').all();
const responseItems = $input.all();
return responseItems.map((responseItem, index) => {
const original = (promptItems[index] && promptItems[index].json) || {};
const httpJson = responseItem.json || {};
if (httpJson.error) {
return { json: { ...original, aiClassification: buildFallbackClassification('ai_error') } };
}
let raw = null;
try {
const content = httpJson.choices && httpJson.choices[0] && httpJson.choices[0].message && httpJson.choices[0].message.content;
raw = content ? JSON.parse(content) : null;
} catch (e) {
raw = null;
}
const validation = validateAiClassification(raw);
const aiClassification = validation.valid ? validation.data : buildFallbackClassification('invalid_json');
return { json: { ...original, aiClassification } };
});
+469 -18
View File
@@ -6,7 +6,7 @@
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [180, 300],
"position": [-1600, 0],
"parameters": {}
},
{
@@ -14,7 +14,7 @@
"name": "Schedule Trigger - Dias uteis 08h (desligado em DEV)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [180, 640],
"position": [-1600, 900],
"parameters": {
"rule": {
"interval": [
@@ -28,7 +28,7 @@
"name": "Config - Coordenador GLPI v2",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [440, 300],
"position": [-1360, 0],
"parameters": {
"assignments": {
"assignments": [
@@ -48,37 +48,488 @@
"name": "Code - Montar SQL Candidatos",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [700, 220],
"parameters": {
"jsCode": "__BUILD__:build-sql-candidatos.node.js"
}
"position": [-1120, -160],
"parameters": { "jsCode": "__BUILD__:build-sql-candidatos.node.js" }
},
{
"id": "code-montar-sql-legado",
"name": "Code - Montar SQL Legado",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [700, 460],
"position": [-1120, 900],
"parameters": { "jsCode": "__BUILD__:build-sql-legado.node.js" }
},
{
"id": "mysql-buscar-candidatos",
"name": "MySQL - Buscar Candidatos",
"type": "n8n-nodes-base.mySql",
"typeVersion": 2.4,
"position": [-880, -160],
"parameters": { "operation": "executeQuery", "query": "={{ $json.query }}", "options": {} },
"credentials": { "mySql": { "name": "MySQL GLPI - Coordenador" } }
},
{
"id": "mysql-legado-top10-shadow",
"name": "MySQL - Legado Top 10 (Shadow)",
"type": "n8n-nodes-base.mySql",
"typeVersion": 2.4,
"position": [-880, 900],
"parameters": { "operation": "executeQuery", "query": "={{ $json.query }}", "options": {} },
"credentials": { "mySql": { "name": "MySQL GLPI - Coordenador" } }
},
{
"id": "code-normalizar-candidatos-base",
"name": "Code - Normalizar Candidatos Base",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [-640, -160],
"parameters": { "jsCode": "__BUILD__:normalize-candidates.node.js" }
},
{
"id": "code-montar-sql-contexto",
"name": "Code - Montar SQL Contexto",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [-400, -160],
"parameters": { "jsCode": "__BUILD__:build-sql-context.node.js" }
},
{
"id": "mysql-buscar-contexto",
"name": "MySQL - Buscar Contexto",
"type": "n8n-nodes-base.mySql",
"typeVersion": 2.4,
"position": [-160, -160],
"parameters": { "operation": "executeQuery", "query": "={{ $json.query }}", "options": {} },
"credentials": { "mySql": { "name": "MySQL GLPI - Coordenador" } }
},
{
"id": "code-mesclar-contexto-hash",
"name": "Code - Mesclar Contexto e Calcular Hash",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [80, -160],
"parameters": { "jsCode": "__BUILD__:merge-context-hash.node.js" }
},
{
"id": "datatable-buscar-memoria",
"name": "Data Table - Buscar Memoria",
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1.1,
"position": [320, -160],
"parameters": {
"jsCode": "__BUILD__:build-sql-legado.node.js"
"resource": "row",
"operation": "get",
"dataTableId": { "mode": "name", "value": "coordenador_glpi_memoria" },
"filters": { "conditions": [] },
"returnAll": true
}
},
{
"id": "code-decidir-necessidade-ia",
"name": "Code - Decidir Necessidade de IA",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [560, -160],
"parameters": { "jsCode": "__BUILD__:decide-needs-ai.node.js" }
},
{
"id": "if-precisa-ia",
"name": "IF - Precisa IA?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [800, -160],
"parameters": {
"conditions": {
"options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 },
"conditions": [
{
"id": "cond-precisa-ia",
"leftValue": "={{ $json.precisa_ia }}",
"rightValue": true,
"operator": { "type": "boolean", "operation": "true", "singleValue": true }
}
],
"combinator": "and"
},
"options": {}
}
},
{
"id": "if-ia-ligada",
"name": "IF - IA Ligada?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [1040, -320],
"parameters": {
"conditions": {
"options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 },
"conditions": [
{
"id": "cond-ia-ligada",
"leftValue": "={{ $json.config.aiEnabled }}",
"rightValue": true,
"operator": { "type": "boolean", "operation": "true", "singleValue": true }
}
],
"combinator": "and"
},
"options": {}
}
},
{
"id": "code-preparar-prompt-ia",
"name": "Code - Preparar Prompt IA",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1280, -400],
"parameters": { "jsCode": "__BUILD__:prepare-ai-prompt.node.js" }
},
{
"id": "http-openai-classificar",
"name": "HTTP - OpenAI Classificar Chamado",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [1520, -400],
"continueOnFail": true,
"parameters": {
"method": "POST",
"url": "https://api.openai.com/v1/chat/completions",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "openAiApi",
"sendBody": true,
"contentType": "json",
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify($json.requestBody) }}",
"options": { "timeout": 30000 }
},
"credentials": { "openAiApi": { "id": "WUGriAn5FgCiLza2", "name": "OpenAI - Coordenador GLPI" } }
},
{
"id": "code-validar-classificacao-ia",
"name": "Code - Validar Classificacao IA",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1760, -400],
"parameters": { "jsCode": "__BUILD__:validate-ai-response.node.js" }
},
{
"id": "code-fallback-ia-desligada",
"name": "Code - Fallback IA Desligada",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1280, -160],
"parameters": { "jsCode": "__BUILD__:ai-disabled-fallback.node.js" }
},
{
"id": "code-reusar-classificacao-cache",
"name": "Code - Reusar Classificacao em Cache",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [1040, 80],
"parameters": { "jsCode": "__BUILD__:reuse-cached-classification.node.js" }
},
{
"id": "merge-consolidar-classificacoes",
"name": "Merge - Consolidar Classificacoes",
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [2000, -160],
"parameters": { "mode": "append", "numberInputs": 3 }
},
{
"id": "code-calcular-score",
"name": "Code - Calcular Score",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2240, -160],
"parameters": { "jsCode": "__BUILD__:compute-score.node.js" }
},
{
"id": "code-preparar-registro-memoria-analise",
"name": "Code - Preparar Registro Memoria Analise",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2480, 160],
"parameters": { "jsCode": "__BUILD__:prepare-memoria-analise-record.node.js" }
},
{
"id": "datatable-upsert-memoria-analise",
"name": "Data Table - Upsert Memoria Analise",
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1.1,
"position": [2720, 160],
"parameters": {
"resource": "row",
"operation": "upsert",
"dataTableId": { "mode": "name", "value": "coordenador_glpi_memoria" },
"columns": {
"mappingMode": "defineBelow",
"matchingColumns": ["ticket_id"],
"value": {
"ticket_id": "={{ $json.ticket_id }}",
"last_analyzed_at": "={{ $json.last_analyzed_at }}",
"last_context_hash": "={{ $json.last_context_hash }}",
"last_meaningful_change_at": "={{ $json.last_meaningful_change_at }}",
"ai_classification": "={{ $json.ai_classification }}",
"ai_confidence": "={{ $json.ai_confidence }}",
"blocker_type": "={{ $json.blocker_type }}",
"waiting_for": "={{ $json.waiting_for }}",
"next_action": "={{ $json.next_action }}",
"next_review_at": "={{ $json.next_review_at }}",
"last_score": "={{ $json.last_score }}",
"last_ai_reason": "={{ $json.last_ai_reason }}",
"updated_at": "={{ $json.updated_at }}"
}
}
}
},
{
"id": "code-selecionar-top10",
"name": "Code - Selecionar Top 10",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2480, -320],
"parameters": { "jsCode": "__BUILD__:select-top10.node.js" }
},
{
"id": "code-preparar-registro-envio",
"name": "Code - Preparar Registro de Envio",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2720, -560],
"parameters": { "jsCode": "__BUILD__:prepare-envio-record.node.js" }
},
{
"id": "datatable-registrar-envio",
"name": "Data Table - Registrar Envio",
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1.1,
"position": [2960, -560],
"parameters": {
"resource": "row",
"operation": "upsert",
"dataTableId": { "mode": "name", "value": "coordenador_glpi_memoria" },
"columns": {
"mappingMode": "defineBelow",
"matchingColumns": ["ticket_id"],
"value": {
"ticket_id": "={{ $json.ticket_id }}",
"last_sent_at": "={{ $json.last_sent_at }}",
"times_sent": "={{ $json.times_sent }}",
"times_sent_30d": "={{ $json.times_sent_30d }}",
"consecutive_days_sent": "={{ $json.consecutive_days_sent }}",
"updated_at": "={{ $json.updated_at }}"
}
}
}
},
{
"id": "code-montar-mensagem-curta",
"name": "Code - Montar Mensagem Curta",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2720, -320],
"parameters": { "jsCode": "__BUILD__:build-top-message.node.js" }
},
{
"id": "code-montar-digest-coordenacao",
"name": "Code - Montar Digest Coordenacao",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [2960, -320],
"parameters": { "jsCode": "__BUILD__:build-coordination-digest.node.js" }
},
{
"id": "merge-unir-shadow",
"name": "Merge - Unir Shadow",
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [3200, 160],
"parameters": { "mode": "append", "numberInputs": 2 }
},
{
"id": "code-comparar-legacy-v2",
"name": "Code - Comparar Legacy x V2",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [3440, 160],
"parameters": { "jsCode": "__BUILD__:compare-legacy-v2.node.js" }
},
{
"id": "datatable-registrar-shadow-run",
"name": "Data Table - Registrar Shadow Run",
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1.1,
"position": [3680, 160],
"parameters": {
"resource": "row",
"operation": "insert",
"dataTableId": { "mode": "name", "value": "coordenador_glpi_shadow_runs" },
"columns": {
"mappingMode": "defineBelow",
"value": {
"run_at": "={{ $json.run_at }}",
"legacy_ids": "={{ $json.legacy_ids }}",
"v2_ids": "={{ $json.v2_ids }}",
"added": "={{ $json.added }}",
"removed": "={{ $json.removed }}",
"summary": "={{ $json.summary }}"
}
}
}
},
{
"id": "debug-ver-painel",
"name": "Debug - Ver Painel",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [-1600, 1200],
"parameters": {
"httpMethod": "GET",
"path": "coordenador-glpi-v2-debug",
"responseMode": "responseNode",
"options": {}
}
},
{
"id": "datatable-buscar-shadow-runs-recentes",
"name": "Data Table - Buscar Shadow Runs Recentes",
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1.1,
"position": [-1360, 1200],
"parameters": {
"resource": "row",
"operation": "get",
"dataTableId": { "mode": "name", "value": "coordenador_glpi_shadow_runs" },
"filters": { "conditions": [] },
"returnAll": true
}
},
{
"id": "code-montar-painel-debug",
"name": "Code - Montar Painel Debug",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [-1120, 1200],
"parameters": { "jsCode": "__BUILD__:debug-panel.node.js" }
},
{
"id": "debug-responder",
"name": "Debug - Responder",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [-880, 1200],
"parameters": { "respondWith": "json", "responseBody": "={{ $json }}", "options": {} }
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{ "node": "Config - Coordenador GLPI v2", "type": "main", "index": 0 }
]
]
"main": [[{ "node": "Config - Coordenador GLPI v2", "type": "main", "index": 0 }]]
},
"Config - Coordenador GLPI v2": {
"main": [[
{ "node": "Code - Montar SQL Candidatos", "type": "main", "index": 0 },
{ "node": "Code - Montar SQL Legado", "type": "main", "index": 0 }
]]
},
"Code - Montar SQL Candidatos": {
"main": [[{ "node": "MySQL - Buscar Candidatos", "type": "main", "index": 0 }]]
},
"Code - Montar SQL Legado": {
"main": [[{ "node": "MySQL - Legado Top 10 (Shadow)", "type": "main", "index": 0 }]]
},
"MySQL - Buscar Candidatos": {
"main": [[{ "node": "Code - Normalizar Candidatos Base", "type": "main", "index": 0 }]]
},
"Code - Normalizar Candidatos Base": {
"main": [[{ "node": "Code - Montar SQL Contexto", "type": "main", "index": 0 }]]
},
"Code - Montar SQL Contexto": {
"main": [[{ "node": "MySQL - Buscar Contexto", "type": "main", "index": 0 }]]
},
"MySQL - Buscar Contexto": {
"main": [[{ "node": "Code - Mesclar Contexto e Calcular Hash", "type": "main", "index": 0 }]]
},
"Code - Mesclar Contexto e Calcular Hash": {
"main": [[{ "node": "Data Table - Buscar Memoria", "type": "main", "index": 0 }]]
},
"Data Table - Buscar Memoria": {
"main": [[{ "node": "Code - Decidir Necessidade de IA", "type": "main", "index": 0 }]]
},
"Code - Decidir Necessidade de IA": {
"main": [[{ "node": "IF - Precisa IA?", "type": "main", "index": 0 }]]
},
"IF - Precisa IA?": {
"main": [
[
{ "node": "Code - Montar SQL Candidatos", "type": "main", "index": 0 },
{ "node": "Code - Montar SQL Legado", "type": "main", "index": 0 }
]
[{ "node": "IF - IA Ligada?", "type": "main", "index": 0 }],
[{ "node": "Code - Reusar Classificacao em Cache", "type": "main", "index": 0 }]
]
},
"IF - IA Ligada?": {
"main": [
[{ "node": "Code - Preparar Prompt IA", "type": "main", "index": 0 }],
[{ "node": "Code - Fallback IA Desligada", "type": "main", "index": 0 }]
]
},
"Code - Preparar Prompt IA": {
"main": [[{ "node": "HTTP - OpenAI Classificar Chamado", "type": "main", "index": 0 }]]
},
"HTTP - OpenAI Classificar Chamado": {
"main": [[{ "node": "Code - Validar Classificacao IA", "type": "main", "index": 0 }]]
},
"Code - Validar Classificacao IA": {
"main": [[{ "node": "Merge - Consolidar Classificacoes", "type": "main", "index": 0 }]]
},
"Code - Fallback IA Desligada": {
"main": [[{ "node": "Merge - Consolidar Classificacoes", "type": "main", "index": 1 }]]
},
"Code - Reusar Classificacao em Cache": {
"main": [[{ "node": "Merge - Consolidar Classificacoes", "type": "main", "index": 2 }]]
},
"Merge - Consolidar Classificacoes": {
"main": [[{ "node": "Code - Calcular Score", "type": "main", "index": 0 }]]
},
"Code - Calcular Score": {
"main": [[
{ "node": "Code - Selecionar Top 10", "type": "main", "index": 0 },
{ "node": "Code - Preparar Registro Memoria Analise", "type": "main", "index": 0 }
]]
},
"Code - Preparar Registro Memoria Analise": {
"main": [[{ "node": "Data Table - Upsert Memoria Analise", "type": "main", "index": 0 }]]
},
"Code - Selecionar Top 10": {
"main": [[
{ "node": "Code - Montar Mensagem Curta", "type": "main", "index": 0 },
{ "node": "Code - Preparar Registro de Envio", "type": "main", "index": 0 }
]]
},
"Code - Preparar Registro de Envio": {
"main": [[{ "node": "Data Table - Registrar Envio", "type": "main", "index": 0 }]]
},
"Code - Montar Mensagem Curta": {
"main": [[{ "node": "Code - Montar Digest Coordenacao", "type": "main", "index": 0 }]]
},
"Code - Montar Digest Coordenacao": {
"main": [[{ "node": "Merge - Unir Shadow", "type": "main", "index": 0 }]]
},
"MySQL - Legado Top 10 (Shadow)": {
"main": [[{ "node": "Merge - Unir Shadow", "type": "main", "index": 1 }]]
},
"Merge - Unir Shadow": {
"main": [[{ "node": "Code - Comparar Legacy x V2", "type": "main", "index": 0 }]]
},
"Code - Comparar Legacy x V2": {
"main": [[{ "node": "Data Table - Registrar Shadow Run", "type": "main", "index": 0 }]]
},
"Debug - Ver Painel": {
"main": [[{ "node": "Data Table - Buscar Shadow Runs Recentes", "type": "main", "index": 0 }]]
},
"Data Table - Buscar Shadow Runs Recentes": {
"main": [[{ "node": "Code - Montar Painel Debug", "type": "main", "index": 0 }]]
},
"Code - Montar Painel Debug": {
"main": [[{ "node": "Debug - Responder", "type": "main", "index": 0 }]]
}
},
"pinData": {},
-5
View File
@@ -1,5 +0,0 @@
-- Followups publicos dos candidatos (IDs interpolados pelo node, validados como inteiros).
SELECT items_id AS tickets_id, id, date, content AS texto
FROM glpi_itilfollowups
WHERE itemtype = 'Ticket' AND is_private = 0 AND items_id IN ({IDS})
ORDER BY items_id, date ASC;
+17
View File
@@ -0,0 +1,17 @@
-- Contexto (followups publicos + tarefas) dos candidatos, numa unica query
-- para garantir que o node de merge so roda depois que os dois tipos ja chegaram.
-- IDs interpolados pelo node como lista de inteiros (nunca string crua do GLPI).
-- Coluna de status de glpi_tickettasks (state) a confirmar via DESCRIBE quando a
-- credencial MySQL estiver disponivel (Task 14) -- ver nota no plano.
SELECT 'followup' AS tipo, items_id AS tickets_id, id, date, content AS texto, NULL AS status
FROM glpi_itilfollowups
WHERE itemtype = 'Ticket' AND is_private = 0 AND items_id IN ({IDS})
UNION ALL
SELECT 'task' AS tipo, tickets_id, id, date, content AS texto, state AS status
FROM glpi_tickettasks
WHERE tickets_id IN ({IDS})
ORDER BY tickets_id, date ASC;
-6
View File
@@ -1,6 +0,0 @@
-- Tarefas dos candidatos. Coluna de status a confirmar via DESCRIBE glpi_tickettasks
-- quando a credencial MySQL estiver disponivel (Task 14) -- ver nota no plano.
SELECT tickets_id, id, date, state AS status, content AS texto
FROM glpi_tickettasks
WHERE tickets_id IN ({IDS})
ORDER BY tickets_id, date ASC;
+8 -4
View File
@@ -5,8 +5,13 @@ const ROOT = path.join(__dirname, '..');
function readLogicSource(fileName) {
const raw = fs.readFileSync(path.join(ROOT, 'logic', fileName), 'utf8');
// Remove a linha final "module.exports = {...}" -- as funcoes ficam soltas no escopo do node.
return raw.replace(/module\.exports\s*=\s*\{[\s\S]*?\};?\s*$/m, '').trim();
return raw
// Remove a linha final "module.exports = {...}" -- as funcoes ficam soltas no escopo do node.
.replace(/module\.exports\s*=\s*\{[\s\S]*?\};?\s*$/m, '')
// Remove requires de outros modulos de logic/*.js -- quando inlined, a funcao requerida
// ja esta no mesmo escopo (senao vira identificador duplicado: function X + const {X} = require(...)).
.replace(/^const\s*\{[^}]*\}\s*=\s*require\(['"]\.\/[a-zA-Z0-9_-]+['"]\);?\s*$/gm, '')
.trim();
}
function inlinedLogic(fileNames) {
@@ -29,8 +34,7 @@ function buildDriverCode(driverRelativePath) {
driver = driver.replace('/* __SQL_CANDIDATOS_V2__ */', sqlAsJsTemplateLiteral('sql/candidatos_v2_glpi.sql'));
driver = driver.replace('/* __SQL_LEGADO_V1_VERBATIM__ */', sqlAsJsTemplateLiteral('sql/top_10_chamados_abertos_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO_FOLLOWUPS__ */', sqlAsJsTemplateLiteral('sql/contexto_followups_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO_TAREFAS__ */', sqlAsJsTemplateLiteral('sql/contexto_tarefas_glpi.sql'));
driver = driver.replace('/* __SQL_CONTEXTO__ */', sqlAsJsTemplateLiteral('sql/contexto_glpi.sql'));
const logicBlock = requiredLogicFiles.length ? `${inlinedLogic(requiredLogicFiles)}\n\n` : '';
return `${logicBlock}${driver.trim()}`;
+21
View File
@@ -26,3 +26,24 @@ test('nenhum node de Code sobra com marcador nao resolvido', () => {
}
}
});
test('todo jsCode gerado e sintaticamente valido (pega identificador duplicado, chaves erradas, etc.)', () => {
const wf = buildWorkflow();
for (const node of wf.nodes) {
if (node.type === 'n8n-nodes-base.code') {
assert.doesNotThrow(() => {
// eslint-disable-next-line no-new-func
new Function('$input', '$env', '$', node.parameters.jsCode);
}, `node ${node.name} tem jsCode com erro de sintaxe`);
}
}
});
test('nenhum jsCode gerado contem "require(" sobrando (modulos devem estar totalmente inlined)', () => {
const wf = buildWorkflow();
for (const node of wf.nodes) {
if (node.type === 'n8n-nodes-base.code') {
assert.ok(!/\brequire\(/.test(node.parameters.jsCode), `node ${node.name} ainda tem require() nao resolvido`);
}
}
});