1713 lines
68 KiB
JSON
1713 lines
68 KiB
JSON
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"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;"
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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;"
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"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;"
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