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Detectados: ${numericBlock.length}`,\n        },\n      });\n      continue;\n    }\n\n    const { codigo, salariosEspecie } = getCodeAndSalaryAfter(text, nameEnd);\n\n    if (!codigo) {\n      output.push({\n        json: {\n          tipo: \"REVISION\",\n          archivo_nombre: archivoNombre,\n          archivo_id: archivoId,\n          planilla_numero: meta.planillaNumero,\n          periodo: meta.periodo,\n          departamento,\n          linea: nombre,\n          motivo: \"No se pudo detectar el c贸digo del empleado despu茅s del nombre\",\n        },\n      });\n      continue;\n    }\n\n    // El bloque viene al rev茅s:\n    // total_neto, total_desc, otras_deduc, ..., horas_reg, sal_por_hora.\n    const forward = [...numericBlock].reverse();\n\n    // En el texto extra铆do normalmente no aparece I.S.R. Salarios cuando es 0.\n    // Lo insertamos en la posici贸n correcta.\n    const fullNumbers = [\n      ...forward.slice(0, 19),\n      0,\n      ...forward.slice(19),\n      salariosEspecie,\n    ];\n\n    if (fullNumbers.length !== 24) {\n      output.push({\n        json: {\n          tipo: \"REVISION\",\n          archivo_nombre: archivoNombre,\n          archivo_id: archivoId,\n          planilla_numero: meta.planillaNumero,\n          periodo: meta.periodo,\n          departamento,\n          linea: `${nombre} / ${codigo}`,\n          motivo: `Cantidad final de columnas inv谩lida: ${fullNumbers.length}`,\n        },\n      });\n      continue;\n    }\n\n    output.push({\n      json: makeRecord({\n        archivoNombre,\n        archivoId,\n        empresa: meta.empresa,\n        planillaNumero: meta.planillaNumero,\n        periodo: meta.periodo,\n        departamento,\n        codigo,\n        nombre,\n        numbers: fullNumbers,\n      }),\n    });\n\n    parsedEmployees++;\n  }\n\n  if (parsedEmployees === 0) {\n    output.push({\n      json: {\n        tipo: \"REVISION\",\n        archivo_nombre: archivoNombre,\n        archivo_id: archivoId,\n        planilla_numero: meta.planillaNumero,\n        periodo: meta.periodo,\n        motivo: `No se detect贸 ning煤n empleado en este PDF. Posibles nombres detectados por regex: ${matches.length}`,\n      },\n    });\n  }\n}\n\nreturn output;"
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        "name": "Metadata PDF"
      },
      {
        "parameters": {
          "operation": "download",
          "fileId": {
            "__rl": true,
            "value": "={{$json.pdf_id}}",
            "mode": "id"
          },
          "options": {}
        },
        "type": "n8n-nodes-base.googleDrive",
        "typeVersion": 3,
        "position": [
          1488,
          0
        ],
        "id": "8ea393e6-179b-4348-a864-1ef2ae1d79f2",
        "name": "Descargar PDF",
        "credentials": {
          "googleDriveOAuth2Api": {
            "id": "g23xdGLZRzBGqKgH",
            "name": "Isaac - Google Drive"
          }
        }
      },
      {
        "parameters": {
          "operation": "pdf",
          "options": {}
        },
        "type": "n8n-nodes-base.extractFromFile",
        "typeVersion": 1.1,
        "position": [
          1680,
          0
        ],
        "id": "c97cf3b9-ae31-4a46-9511-48a2d0e58a21",
        "name": "Extraer texto PDF"
      },
      {
        "parameters": {
          "jsCode": "const COLS = [\n  \"sal_por_hora\",\n  \"horas_reg\",\n  \"horas_1_25\",\n  \"horas_1_50\",\n  \"horas_1_75\",\n  \"horas_2_625\",\n  \"horas_aus_tard\",\n  \"horas_cm\",\n  \"ajuste_no_pagas\",\n  \"horas_ajuste\",\n  \"salario_regular\",\n  \"salario_comision\",\n  \"sobretiempo\",\n  \"otros_ingresos\",\n  \"salario_bruto\",\n  \"gto_rep\",\n  \"ss\",\n  \"se\",\n  \"isr\",\n  \"isr_salarios\",\n  \"otras_deduc\",\n  \"total_desc\",\n  \"total_neto\",\n  \"salarios_especie\",\n];\n\nconst NUMBER_ANY_RE = /-?\\d{1,3}(?:,\\d{3})*\\.\\d{2,6}|-?\\d+\\.\\d{2,6}/g;\nconst NAME_RE = /[A-Z脕脡脥脫脷脺脩][A-Z脕脡脥脫脷脺脩 .'\\-]+,\\s*[A-Z脕脡脥脫脷脺脩][A-Z脕脡脥脫脷脺脩 .'\\-]+/gu;\n\nfunction toNumber(value) {\n  const n = Number(String(value || \"0\").replace(/,/g, \"\"));\n  return Number.isFinite(n) ? n : 0;\n}\n\nfunction round2(n) {\n  return Math.round((Number(n || 0) + Number.EPSILON) * 100) / 100;\n}\n\nfunction normalizeName(name) {\n  return String(name || \"\")\n    .normalize(\"NFD\")\n    .replace(/[\\u0300-\\u036f]/g, \"\")\n    .toUpperCase()\n    .replace(/[^A-Z脩, ]/g, \" \")\n    .replace(/,/g, \" \")\n    .replace(/\\s+/g, \" \")\n    .trim();\n}\n\nfunction pickPdfText(json) {\n  for (const key of [\"text\", \"data\", \"content\", \"extractedText\", \"pdfText\"]) {\n    if (typeof json[key] === \"string\" && json[key].includes(\"Planilla\")) {\n      return json[key];\n    }\n  }\n\n  for (const value of Object.values(json)) {\n    if (typeof value === \"string\" && value.includes(\"Planilla\")) {\n      return value;\n    }\n  }\n\n  return \"\";\n}\n\nfunction parsePeriodo(periodo) {\n  const result = {\n    periodo_inicio: \"\",\n    periodo_fin: \"\",\n    anio: \"\",\n    mes_numero: \"\",\n    mes_nombre: \"\",\n    quincena: \"\",\n  };\n\n  const match = String(periodo || \"\").match(\n    /(\\d{2})\\/(\\d{2})\\/(\\d{4}).*?(\\d{2})\\/(\\d{2})\\/(\\d{4})/\n  );\n\n  if (!match) return result;\n\n  const [, d1, m1, y1, d2, m2, y2] = match;\n\n  const meses = {\n    \"01\": \"Enero\",\n    \"02\": \"Febrero\",\n    \"03\": \"Marzo\",\n    \"04\": \"Abril\",\n    \"05\": \"Mayo\",\n    \"06\": \"Junio\",\n    \"07\": \"Julio\",\n    \"08\": \"Agosto\",\n    \"09\": \"Septiembre\",\n    \"10\": \"Octubre\",\n    \"11\": \"Noviembre\",\n    \"12\": \"Diciembre\",\n  };\n\n  result.periodo_inicio = `${d1}/${m1}/${y1}`;\n  result.periodo_fin = `${d2}/${m2}/${y2}`;\n  result.anio = y1;\n  result.mes_numero = m1;\n  result.mes_nombre = meses[m1] || m1;\n  result.quincena = Number(d1) <= 15 ? \"Quincena 1\" : \"Quincena 2\";\n\n  return result;\n}\n\nfunction extractMeta(text) {\n  let empresa = \"\";\n  let planillaNumero = \"\";\n  let periodo = \"\";\n\n  const lines = text\n    .split(/\\r?\\n/)\n    .map(x => String(x || \"\").replace(/\\s+/g, \" \").trim())\n    .filter(Boolean);\n\n  for (const line of lines) {\n    if (!empresa && /^(GOMEZLEE|GLM-)/i.test(line)) {\n      empresa = line;\n    }\n\n    const planillaMatch = line.match(/^Planilla N煤mero\\s*(.*)$/i);\n    if (planillaMatch) {\n      planillaNumero = planillaMatch[1].trim();\n    }\n\n    const periodoMatch = line.match(/^Periodo del\\s*(.*)$/i);\n    if (periodoMatch) {\n      periodo = periodoMatch[1].trim();\n    }\n  }\n\n  return { empresa, planillaNumero, periodo };\n}\n\nfunction getDepartmentBefore(text, index) {\n  const marker = \"DEPARTAMENTO:\";\n  const pos = text.lastIndexOf(marker, index);\n\n  if (pos === -1) return \"\";\n\n  const end = text.indexOf(\"\\n\", pos);\n  const raw = end === -1 ? text.slice(pos) : text.slice(pos, end);\n\n  return raw.replace(/^DEPARTAMENTO:/i, \"\").replace(/\\s+/g, \" \").trim();\n}\n\nfunction getLastNumbersBefore(text, index, count) {\n  const before = text.slice(Math.max(0, index - 5000), index);\n  const matches = [...before.matchAll(NUMBER_ANY_RE)].map(m => toNumber(m[0]));\n\n  return matches.slice(-count);\n}\n\nfunction getCodeAndSalaryAfter(text, index) {\n  const after = text.slice(index, index + 120);\n\n  const codeMatch = after.match(/^\\s*([A-Z0-9]{1,12})\\b/u);\n\n  if (!codeMatch) {\n    return {\n      codigo: \"\",\n      salariosEspecie: 0,\n    };\n  }\n\n  const codigo = codeMatch[1].trim();\n  const afterCode = after.slice(codeMatch[0].length);\n  const salaryMatch = afterCode.match(NUMBER_ANY_RE);\n\n  return {\n    codigo,\n    salariosEspecie: salaryMatch ? toNumber(salaryMatch[0]) : 0,\n  };\n}\n\nfunction makeRecord({\n  archivoNombre,\n  archivoId,\n  empresa,\n  planillaNumero,\n  periodo,\n  departamento,\n  codigo,\n  nombre,\n  numbers,\n}) {\n  const periodoData = parsePeriodo(periodo);\n\n  const record = {\n    tipo: \"DETALLE\",\n    archivo_nombre: archivoNombre,\n    archivo_id: archivoId,\n    empresa,\n    planilla_numero: planillaNumero,\n    periodo,\n    ...periodoData,\n    departamento,\n    codigo,\n    nombre,\n    empleado_key: normalizeName(nombre),\n  };\n\n  COLS.forEach((col, index) => {\n    record[col] = round2(numbers[index] || 0);\n  });\n\n  return record;\n}\n\nconst output = [];\nconst inputItems = $input.all();\n\nlet metadataItems = [];\ntry {\n  metadataItems = $(\"Metadata PDF\").all();\n} catch (e) {\n  metadataItems = [];\n}\n\nfor (let itemIndex = 0; itemIndex < inputItems.length; itemIndex++) {\n  const item = inputItems[itemIndex];\n  const json = item.json || {};\n  const metadata = metadataItems[itemIndex]?.json || {};\n\n  const text = pickPdfText(json);\n\n  const archivoNombre =\n    json.pdf_name ||\n    metadata.pdf_name ||\n    json.name ||\n    json.fileName ||\n    json.filename ||\n    \"PDF sin nombre\";\n\n  const archivoId =\n    json.pdf_id ||\n    metadata.pdf_id ||\n    json.id ||\n    json.fileId ||\n    \"\";\n\n  if (!text) {\n    output.push({\n      json: {\n        tipo: \"REVISION\",\n        archivo_nombre: archivoNombre,\n        archivo_id: archivoId,\n        motivo: \"No se encontr贸 texto extra铆do del PDF\",\n      },\n    });\n    continue;\n  }\n\n  const meta = extractMeta(text);\n\n  let parsedEmployees = 0;\n\n  const matches = [...text.matchAll(NAME_RE)];\n\n  for (const match of matches) {\n    const nombre = String(match[0] || \"\").replace(/\\s+/g, \" \").trim();\n\n    if (!nombre.includes(\",\")) continue;\n\n    const nameStart = match.index;\n    const nameEnd = match.index + match[0].length;\n\n    const departamento = getDepartmentBefore(text, nameStart);\n\n    const numericBlock = getLastNumbersBefore(text, nameStart, 22);\n\n    if (numericBlock.length !== 22) {\n      output.push({\n        json: {\n          tipo: \"REVISION\",\n          archivo_nombre: archivoNombre,\n          archivo_id: archivoId,\n          planilla_numero: meta.planillaNumero,\n          periodo: meta.periodo,\n          departamento,\n          linea: nombre,\n          motivo: `No se encontraron 22 valores num茅ricos antes del empleado. Detectados: ${numericBlock.length}`,\n        },\n      });\n      continue;\n    }\n\n    const { codigo, salariosEspecie } = getCodeAndSalaryAfter(text, nameEnd);\n\n    if (!codigo) {\n      output.push({\n        json: {\n          tipo: \"REVISION\",\n          archivo_nombre: archivoNombre,\n          archivo_id: archivoId,\n          planilla_numero: meta.planillaNumero,\n          periodo: meta.periodo,\n          departamento,\n          linea: nombre,\n          motivo: \"No se pudo detectar el c贸digo del empleado despu茅s del nombre\",\n        },\n      });\n      continue;\n    }\n\n    // El bloque viene al rev茅s:\n    // total_neto, total_desc, otras_deduc, ..., horas_reg, sal_por_hora.\n    const forward = [...numericBlock].reverse();\n\n    // En el texto extra铆do normalmente no aparece I.S.R. Salarios cuando es 0.\n    // Lo insertamos en la posici贸n correcta.\n    const fullNumbers = [\n      ...forward.slice(0, 19),\n      0,\n      ...forward.slice(19),\n      salariosEspecie,\n    ];\n\n    if (fullNumbers.length !== 24) {\n      output.push({\n        json: {\n          tipo: \"REVISION\",\n          archivo_nombre: archivoNombre,\n          archivo_id: archivoId,\n          planilla_numero: meta.planillaNumero,\n          periodo: meta.periodo,\n          departamento,\n          linea: `${nombre} / ${codigo}`,\n          motivo: `Cantidad final de columnas inv谩lida: ${fullNumbers.length}`,\n        },\n      });\n      continue;\n    }\n\n    output.push({\n      json: makeRecord({\n        archivoNombre,\n        archivoId,\n        empresa: meta.empresa,\n        planillaNumero: meta.planillaNumero,\n        periodo: meta.periodo,\n        departamento,\n        codigo,\n        nombre,\n        numbers: fullNumbers,\n      }),\n    });\n\n    parsedEmployees++;\n  }\n\n  if (parsedEmployees === 0) {\n    output.push({\n      json: {\n        tipo: \"REVISION\",\n        archivo_nombre: archivoNombre,\n        archivo_id: archivoId,\n        planilla_numero: meta.planillaNumero,\n        periodo: meta.periodo,\n        motivo: `No se detect贸 ning煤n empleado en este PDF. Posibles nombres detectados por regex: ${matches.length}`,\n      },\n    });\n  }\n}\n\nreturn output;"
        },
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          1872,
          0
        ],
        "id": "4042e300-1055-41f8-b5dc-14ed1f1137a9",
        "name": "Parsear planilla PDF"
      },
      {
        "parameters": {
          "conditions": {
            "options": {
              "caseSensitive": true,
              "leftValue": "",
              "typeValidation": "strict",
              "version": 3
            },
            "conditions": [
              {
                "id": "6608d91d-bf7c-4875-a375-fdb356de6832",
                "leftValue": "={{$json.tipo}}",
                "rightValue": "DETALLE",
                "operator": {
                  "type": "string",
                  "operation": "equals",
                  "name": "filter.operator.equals"
                }
              }
            ],
            "combinator": "and"
          },
          "options": {}
        },
        "type": "n8n-nodes-base.if",
        "typeVersion": 2.3,
        "position": [
          2160,
          -80
        ],
        "id": "9c3c289c-fec8-4263-bf85-1f6913807d86",
        "name": "Es DETALLE"
      },
      {
        "parameters": {
          "conditions": {
            "options": {
              "caseSensitive": true,
              "leftValue": "",
              "typeValidation": "strict",
              "version": 3
            },
            "conditions": [
              {
                "id": "638e07d0-4074-44ce-95d5-9d2799eabe71",
                "leftValue": "={{$json.tipo}}",
                "rightValue": "REVISION",
                "operator": {
                  "type": "string",
                  "operation": "equals",
                  "name": "filter.operator.equals"
                }
              }
            ],
            "combinator": "and"
          },
          "options": {}
        },
        "type": "n8n-nodes-base.if",
        "typeVersion": 2.3,
        "position": [
          2448,
          144
        ],
        "id": "fd648dbc-65b4-420c-b47f-a1597c8d959b",
        "name": "Es REVISION"
      },
      {
        "parameters": {
          "operation": "append",
          "documentId": {
            "__rl": true,
            "value": "1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU",
            "mode": "id"
          },
          "sheetName": {
            "__rl": true,
            "value": 389127788,
            "mode": "list",
            "cachedResultName": "DETALLE_EXTRAIDO",
            "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU/edit#gid=389127788"
          },
          "columns": {
            "mappingMode": "autoMapInputData",
            "value": {},
            "matchingColumns": [],
            "schema": [],
            "attemptToConvertTypes": false,
            "convertFieldsToString": false
          },
          "options": {}
        },
        "type": "n8n-nodes-base.googleSheets",
        "typeVersion": 4.7,
        "position": [
          2416,
          -256
        ],
        "id": "cbc8d5ca-024a-450b-b3d7-a598cd7d0c28",
        "name": "Guardar DETALLE_EXTRAIDO",
        "credentials": {
          "googleSheetsOAuth2Api": {
            "id": "K0hDZh3a85MpOHCs",
            "name": "Google Sheets account 2"
          }
        }
      },
      {
        "parameters": {
          "operation": "append",
          "documentId": {
            "__rl": true,
            "value": "1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU",
            "mode": "id"
          },
          "sheetName": {
            "__rl": true,
            "value": 1863286680,
            "mode": "list",
            "cachedResultName": "REVISION",
            "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU/edit#gid=1863286680"
          },
          "columns": {
            "mappingMode": "autoMapInputData",
            "value": {},
            "matchingColumns": [],
            "schema": [
              {
                "id": "tipo",
                "displayName": "tipo",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "archivo_nombre",
                "displayName": "archivo_nombre",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "archivo_id",
                "displayName": "archivo_id",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "planilla_numero",
                "displayName": "planilla_numero",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "periodo",
                "displayName": "periodo",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "departamento",
                "displayName": "departamento",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "linea",
                "displayName": "linea",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              },
              {
                "id": "motivo",
                "displayName": "motivo",
                "required": false,
                "defaultMatch": false,
                "display": true,
                "type": "string",
                "canBeUsedToMatch": true,
                "removed": false
              }
            ],
            "attemptToConvertTypes": false,
            "convertFieldsToString": false
          },
          "options": {}
        },
        "type": "n8n-nodes-base.googleSheets",
        "typeVersion": 4.7,
        "position": [
          2656,
          48
        ],
        "id": "1f44cf9d-9dfb-4c43-be3e-a8f8de805c1a",
        "name": "Guardar REVISION",
        "credentials": {
          "googleSheetsOAuth2Api": {
            "id": "K0hDZh3a85MpOHCs",
            "name": "Google Sheets account 2"
          }
        }
      },
      {
        "parameters": {
          "jsCode": "const SUM_COLS = [\n  \"horas_reg\",\n  \"horas_1_25\",\n  \"horas_1_50\",\n  \"horas_1_75\",\n  \"horas_2_625\",\n  \"horas_aus_tard\",\n  \"horas_cm\",\n  \"ajuste_no_pagas\",\n  \"horas_ajuste\",\n  \"salario_regular\",\n  \"salario_comision\",\n  \"sobretiempo\",\n  \"otros_ingresos\",\n  \"salario_bruto\",\n  \"gto_rep\",\n  \"ss\",\n  \"se\",\n  \"isr\",\n  \"isr_salarios\",\n  \"otras_deduc\",\n  \"total_desc\",\n  \"total_neto\",\n  \"salarios_especie\",\n];\n\nfunction round2(n) {\n  return Math.round((Number(n || 0) + Number.EPSILON) * 100) / 100;\n}\n\nconst groups = new Map();\n\nfor (const item of $input.all()) {\n  const row = item.json;\n\n  if (row.tipo !== \"DETALLE\") continue;\n\n  const key = row.empleado_key || row.nombre;\n\n  if (!groups.has(key)) {\n    const base = {\n      empleado_key: key,\n      nombre: row.nombre,\n      codigos_detectados: new Set(),\n      empresas_detectadas: new Set(),\n      departamentos_detectados: new Set(),\n      meses_detectados: new Set(),\n      quincenas_detectadas: new Set(),\n      cantidad_registros: 0,\n      sal_por_hora_min: null,\n      sal_por_hora_max: null,\n      sal_por_hora_ultimo: null,\n    };\n\n    for (const col of SUM_COLS) {\n      base[`total_${col}`] = 0;\n    }\n\n    groups.set(key, base);\n  }\n\n  const g = groups.get(key);\n\n  g.cantidad_registros += 1;\n\n  if (row.codigo) g.codigos_detectados.add(row.codigo);\n  if (row.empresa) g.empresas_detectadas.add(row.empresa);\n  if (row.departamento) g.departamentos_detectados.add(row.departamento);\n  if (row.mes_nombre) g.meses_detectados.add(row.mes_nombre);\n  if (row.quincena) g.quincenas_detectadas.add(`${row.mes_nombre || \"\"} ${row.quincena || \"\"}`.trim());\n\n  const rate = Number(row.sal_por_hora || 0);\n  if (rate > 0) {\n    g.sal_por_hora_min = g.sal_por_hora_min === null ? rate : Math.min(g.sal_por_hora_min, rate);\n    g.sal_por_hora_max = g.sal_por_hora_max === null ? rate : Math.max(g.sal_por_hora_max, rate);\n    g.sal_por_hora_ultimo = rate;\n  }\n\n  for (const col of SUM_COLS) {\n    g[`total_${col}`] += Number(row[col] || 0);\n  }\n}\n\nconst output = [];\n\nfor (const g of groups.values()) {\n  const row = {\n    empleado_key: g.empleado_key,\n    nombre: g.nombre,\n    codigos_detectados: Array.from(g.codigos_detectados).join(\", \"),\n    empresas_detectadas: Array.from(g.empresas_detectadas).join(\" | \"),\n    departamentos_detectados: Array.from(g.departamentos_detectados).join(\" | \"),\n    meses_detectados: Array.from(g.meses_detectados).join(\", \"),\n    quincenas_detectadas: Array.from(g.quincenas_detectadas).join(\" | \"),\n    cantidad_registros: g.cantidad_registros,\n    sal_por_hora_min: round2(g.sal_por_hora_min || 0),\n    sal_por_hora_max: round2(g.sal_por_hora_max || 0),\n    sal_por_hora_ultimo: round2(g.sal_por_hora_ultimo || 0),\n  };\n\n  for (const col of SUM_COLS) {\n    row[`total_${col}`] = round2(g[`total_${col}`]);\n  }\n\n  output.push({ json: row });\n}\n\noutput.sort((a, b) => String(a.json.nombre).localeCompare(String(b.json.nombre)));\n\nreturn output;"
        },
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          2800,
          -144
        ],
        "id": "c4861f22-1404-4dbd-a278-86735b88760c",
        "name": "Consolidar RESUMEN_2025"
      },
      {
        "parameters": {
          "operation": "append",
          "documentId": {
            "__rl": true,
            "value": "1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU",
            "mode": "id"
          },
          "sheetName": {
            "__rl": true,
            "value": "gid=0",
            "mode": "list",
            "cachedResultName": "RESUMEN_2025",
            "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AiDZjSRR5MB_7Ib1mbWmaYCQmbebP95SIigXsD2ffqU/edit#gid=0"
          },
          "columns": {
            "mappingMode": "autoMapInputData",
            "value": {},
            "matchingColumns": [],
            "schema": [],
            "attemptToConvertTypes": false,
            "convertFieldsToString": false
          },
          "options": {}
        },
        "type": "n8n-nodes-base.googleSheets",
        "typeVersion": 4.7,
        "position": [
          3008,
          -144
        ],
        "id": "a89067df-8244-44ff-8a3c-a29281575968",
        "name": "Guardar RESUMEN_2025",
        "credentials": {
          "googleSheetsOAuth2Api": {
            "id": "K0hDZh3a85MpOHCs",
            "name": "Google Sheets account 2"
          }
        }
      },
      {
        "parameters": {
          "content": "Inicializa la corrida, limpia las hojas de salida y localiza los PDFs de n贸mina seg煤n mes/quincena configurada.",
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