diff --git a/.env.example b/.env.example index cf6d272..ba886f5 100644 --- a/.env.example +++ b/.env.example @@ -1,9 +1,8 @@ # Portal multinacional - Cruce de Cuentas GLM # Copiar como .env.local y ajustar los valores por ambiente. -# Ruta pública actual. Puede cambiarse a /cruce-cuentas/ cuando el portal -# multinacional sea publicado en una ruta general. -VITE_BASE_PATH="/cruce-cuentas/guatemala/" +# Ruta pública del portal multinacional centralizado. +VITE_BASE_PATH="/cruce-cuentas/" # Guatemala: servicio principal que ejecuta el cruce Nómina vs Banco. VITE_N8N_GUATEMALA_WEBHOOK_URL="https://agenteit.digitalcompass.agency/webhook/nominagt-bamboo-test" @@ -19,6 +18,14 @@ VITE_MARCAR_RESUELTO_GT_URL="https://agenteit.digitalcompass.agency/webhook/cruc VITE_N8N_TRINIDAD_WEBHOOK_URL="https://agenteit.digitalcompass.agency/webhook/nominatt-bamboo-test" VITE_HISTORICOS_TT_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-tt-historicos" VITE_MARCAR_RESUELTO_TT_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-tt-marcar-resuelto" +VITE_N8N_PANAMA_WEBHOOK_URL="https://agenteit.digitalcompass.agency/webhook/nominapa-bamboo-test" +VITE_HISTORICOS_PA_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-pa-historicos" +VITE_MARCAR_RESUELTO_PA_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-pa-marcar-resuelto" + +# El Salvador: cruce, históricos y resolución. +VITE_N8N_EL_SALVADOR_WEBHOOK_URL="https://agenteit.digitalcompass.agency/webhook/nominasv-bamboo-test" +VITE_HISTORICOS_SV_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-sv-historicos" +VITE_MARCAR_RESUELTO_SV_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-sv-marcar-resuelto" # Endpoint opcional de n8n + Gemini para analizar el nombre del archivo de nómina. # La app ya incluye detección local como respaldo. @@ -27,6 +34,9 @@ VITE_ANALIZAR_NOMINA_URL="https://agenteit.digitalcompass.agency/webhook/cruce-c # Reporte manual de falsos positivos Banco sin BambooHR -> RRHH. VITE_REPORTAR_BAMBOO_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-bamboo-correccion" +# Reporte general de errores/incidencias de la aplicación -> IT. +VITE_REPORTAR_APP_URL="https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-reportar" + # Login Google vía Supabase. VITE_ENABLE_SUPABASE_AUTH="true" VITE_SUPABASE_URL="https://dbit.digitalcompass.agency" diff --git a/CAMBIOS_2026-09-07.md b/CAMBIOS_2026-09-07.md new file mode 100644 index 0000000..2cd82ec --- /dev/null +++ b/CAMBIOS_2026-09-07.md @@ -0,0 +1,11 @@ +# Cambios 07-09-2026 + +1. El cuadro **Período calculado** muestra las fechas en formato `DD-MM-YYYY` sin modificar las fechas ISO que se envían al backend. +2. Se añadió el botón **Reportar** en el header de **Cruce de Cuentas** y **Reportes Históricos**. Abre un modal con **Descripción del Reporte** y envía el reporte a IT mediante `VITE_REPORTAR_APP_URL`. +3. Se incluye `WORKFLOW_REPORTE_USUARIO_CRUCE_CUENTAS.json`, siguiendo el mismo patrón seguro del Cotizador Walmart Connect: valida la sesión Supabase, valida el acceso a Cruce de Cuentas y envía el correo a `iaracena@gomezleemarketing.com`. +4. Se incluye `LIMPIAR_REPORTES_HISTORICOS_PANAMA_UNA_VEZ.sql` para borrar una sola vez los reportes de prueba de Panamá y las correcciones asociadas, sin tocar Guatemala, Trinidad y Tobago ni los aliases BambooHR. + +## Acciones únicas al publicar esta versión + +- Importar `WORKFLOW_REPORTE_USUARIO_CRUCE_CUENTAS.json` en n8n y activarlo para habilitar el botón **Reportar**. +- Ejecutar una sola vez `LIMPIAR_REPORTES_HISTORICOS_PANAMA_UNA_VEZ.sql` en el SQL Editor de Supabase. Al terminar, la consulta final debe devolver `0` reportes de Panamá. Los reportes nuevos creados por los usuarios seguirán guardándose normalmente. diff --git a/FIX_LOGIN_VERSION_CACHE.md b/FIX_LOGIN_VERSION_CACHE.md new file mode 100644 index 0000000..313207b --- /dev/null +++ b/FIX_LOGIN_VERSION_CACHE.md @@ -0,0 +1,16 @@ +# Corrección de versión antigua después del login + +Se corrigió el caso en que, después del OAuth de Google, el navegador podía +restaurar temporalmente un `index.html` perteneciente a un despliegue anterior. + +Defensas implementadas: + +1. Antes de iniciar OAuth, la app revalida la URL de entrada usando `fetch` con + `cache: reload`, para refrescar la caché HTTP del documento. +2. Si el navegador restaura la página desde BFCache, se fuerza una recarga única. +3. `index.html` incluye directivas defensivas de no-cache para el documento. +4. El `dist` incluido ya contiene la corrección y utiliza un nombre nuevo para + el bundle JavaScript, evitando reutilizar el asset JavaScript anterior. + +No se modificó la lógica funcional de cruces, Bono 14, históricos, BambooHR, +Supabase, RRHH, permisos, archivos o reportes. diff --git a/IMPLEMENTACION_EL_SALVADOR.md b/IMPLEMENTACION_EL_SALVADOR.md new file mode 100644 index 0000000..94cf91a --- /dev/null +++ b/IMPLEMENTACION_EL_SALVADOR.md @@ -0,0 +1,61 @@ +# Cruce de Cuentas GLM · El Salvador (SV) + +## Estado +Integración preparada para producción con la misma arquitectura multinacional del portal. + +## Endpoints n8n +- Cruce principal: `https://agenteit.digitalcompass.agency/webhook/nominasv-bamboo-test` +- Históricos: `https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-sv-historicos` +- Marcar resuelto: `https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-sv-marcar-resuelto` +- Analizador de período compartido: `https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-analizar-nomina` +- Corrección BambooHR compartida: `https://agenteit.digitalcompass.agency/webhook/cruce-cuentas-bamboo-correccion` + +## Archivos de nómina +El Salvador admite múltiples Excel por quincena. Se validaron los formatos GLM de: +- General +- Karla Elias / Trade Marketing +- Nestlé +- Motorola + +Q1 puede contener únicamente los archivos aplicables a la primera quincena; Q2 puede incluir todos los archivos aplicables al cierre de mes. La app no impone una cantidad fija. + +## Banco +Admite múltiples CSV `Consulta Detalle de Envío` de planes 4503 y ABG3. El parser usa las columnas `Cuenta Destino`, `Nombre en Archivo`, `Nombre del Cuentahabiente`, `Monto`, `Concepto` y metadatos de plan/envío. + +## Períodos +Año, mes y quincena son dinámicos. El analizador compartido con Gemini reconoce nombres en español/inglés y calcula: +- Quincena 15: día 1 al 15. +- Quincena 30 / fin de mes: día 16 al último día real del mes (28, 29, 30 o 31). + +## Moneda y zona horaria +- Moneda: USD +- Locale: `es-SV` +- Zona horaria: `America/El_Salvador` + +## Bandera +`https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_El_Salvador.svg.webp` + +## Correcciones BambooHR +- El Salvador: Carlos Antonio Malta Méndez — `cmalta@gomezleemarketing.com`. +- Panamá queda corregido para enviar únicamente a Delarys Peñalba — `dpenalba@gomezleemarketing.com`. + +## Supabase +Ejecutar una sola vez `SUPABASE_El_Salvador_READY.sql`. Amplía los CHECK y RPC multi-país a `SV` sin borrar datos existentes. + + +## Orden de implementación en producción + +1. Ejecutar `SUPABASE_El_Salvador_READY.sql` una sola vez. +2. Importar y publicar `Portal de Verificación de Nómina - El Salvador.json`. +3. Importar y publicar `Portal de Verificación de Nómina El Salvador - Históricos.json`. +4. Importar y publicar `Portal de Verificación de Nómina El Salvador - Envío de Reporte.json`. +5. Actualizar el workflow compartido del analizador de nómina con `Portal de Verificación de Nómina - Analizar Nómina con Gemini GT TT PA SV.json`. +6. Actualizar el workflow compartido de correcciones con `Portal de Verificación de Nómina - Reportar corrección BambooHR a RRHH - GT TT PA SV.json`. +7. Desplegar el `dist` incluido en el ZIP de la aplicación. +8. Dar acceso a `SV` en Supabase a los usuarios que deban operar El Salvador, si su registro de acceso restringe países. +9. Hacer una ejecución controlada de Q15 y Q30 antes de entregar el país a usuarios finales. + +### Importante para los dos workflows compartidos +Los JSON usan los mismos paths de webhook que los workflows actuales. No deben quedar publicadas simultáneamente dos copias con el mismo path. Actualiza/reemplaza el workflow existente o desactiva el anterior antes de publicar el nuevo. + +Los workflows entregados quedan `active: false` dentro del JSON para que la importación sea segura. Publícalos después de verificar que n8n haya conservado/asignado las credenciales correspondientes. diff --git a/IMPLEMENTACION_PANAMA.md b/IMPLEMENTACION_PANAMA.md new file mode 100644 index 0000000..7ee65e2 --- /dev/null +++ b/IMPLEMENTACION_PANAMA.md @@ -0,0 +1,129 @@ +# Cruce de Cuentas GLM · Panamá (PA) · Instalación + +Este paquete agrega **Panamá** como tercer país del portal centralizado de Cruce de Cuentas GLM sin reemplazar la lógica productiva de Guatemala, Trinidad y Tobago ni Bono 14. + +## Archivos incluidos + +### Workflows n8n +1. `Portal de Verificación de Nómina - Panamá.json` + - Workflow principal Panamá. + - Webhook: `POST /webhook/nominapa-bamboo-test`. +2. `Portal de Verificación de Nómina Panamá - Históricos.json` + - Respaldo de Históricos Panamá. + - Webhook: `GET /webhook/cruce-cuentas-pa-historicos`. +3. `Portal de Verificación de Nómina Panamá - Envío de Reporte.json` + - Marcar reporte como resuelto + correo. + - Webhook: `POST /webhook/cruce-cuentas-pa-marcar-resuelto`. +4. `Portal de Verificación de Nómina - Analizar Nómina con Gemini Guatemala Trinidad y Tobago y Panamá.json` + - Sustituye el analizador compartido actual y conserva GT/TT agregando PA. + - Webhook compartido: `POST /webhook/cruce-cuentas-analizar-nomina`. +5. `Portal de Verificación de Nómina - Reportar corrección BambooHR a RRHH - GT TT PA.json` + - Sustituye el workflow compartido actual y conserva GT/TT agregando PA. + - Webhook compartido: `POST /webhook/cruce-cuentas-bamboo-correccion`. + +### Supabase +- `SUPABASE_Panama_READY.sql` + - Amplía los checks de país a `GT`, `TT`, `PA`. + - Habilita aliases y correcciones BambooHR para PA. + - Actualiza las RPC de Históricos y Banco sin Bamboo para PA. + - Mantiene la tabla histórica legada `public.cruces_cuentas_gt_reportes` como tabla multi-país por la columna `country`. + - No elimina reportes ni datos históricos. + +## Orden de instalación recomendado + +### 1. Respaldo +Antes de tocar producción, exporta los workflows actuales compartidos y conserva una copia del ZIP actualmente desplegado de la app. + +### 2. Supabase +Ejecuta `SUPABASE_Panama_READY.sql` en el SQL Editor del Supabase empresarial. + +El bloque final incluye consultas de validación de solo lectura. Deben ejecutarse sin error. + +### 3. Workflows compartidos +Desactiva temporalmente los workflows actuales que ocupan estas rutas: +- `cruce-cuentas-analizar-nomina` +- `cruce-cuentas-bamboo-correccion` + +Importa las dos versiones `GT TT PA`, verifica credenciales y publícalas. No pueden quedar dos workflows activos utilizando el mismo path. + +### 4. Workflows nuevos de Panamá +Importa y publica: +- Principal Panamá. +- Históricos Panamá. +- Envío de Reporte / Marcar Resuelto Panamá. + +### 5. Credenciales n8n +Los JSON hacen referencia a credenciales ya usadas por los workflows productivos. Verifica que n8n las resuelva después de importar: +- `BambooHR GLM Full Access` +- `Google account 2` +- `Google account - Isaac Producción` +- `Gmail account 3` +- `Isaac - Gemini Api Pago` + +**No hay `$env`, `process.env` ni variables `VITE_` en los workflows de n8n.** Los endpoints y valores requeridos por n8n están puestos directamente en los JSON, siguiendo la forma actual de producción. + +### 6. Acceso de usuarios +La app sigue usando `cruce_cuentas_mi_acceso` para validar la sesión. Si la RPC devuelve una lista `paises`, agrega `PA` a los usuarios que deban reportar correcciones de Panamá a RRHH. + +### 7. App +El ZIP de la app contiene: +- Código fuente React/TypeScript/Vite actualizado. +- `dist/` listo para servir en `/cruce-cuentas/`. +- `.env.local` con los endpoints actuales, incluyendo PA. +- `.env.example` actualizado. + +Si tu despliegue sirve archivos estáticos directamente, publica el contenido de `dist/` bajo `/cruce-cuentas/`. + +Si prefieres compilar en tu infraestructura, ejecuta normalmente `npm ci` y `npm run build` en un ambiente con dependencias nativas compatibles con su sistema operativo. + +## Reglas Panamá V1 implementadas + +- País: `PA` / Panamá. +- Moneda: USD. +- Bandera: `https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_Panama.svg`. +- BambooHR usa `onlyCurrent=false`. +- Permite múltiples planillas en un mismo período: quincenal, extraordinarias, vacaciones y XIII Mes/Décimo. +- Soporta Plan 1582 y Plan 1644. +- `Referencia` se usa como fallback controlado cuando `Cuenta Destino` no es una cuenta válida; no se equiparan ambos campos globalmente. +- La inclusión bancaria es **fila por fila y guiada por la nómina**, no por el nombre del plan ni por el texto de `Concepto`. +- Una fila respaldada por nómina puede entrar aunque el concepto diga `PAGO A PROVEEDORES` o contenga texto desactualizado. +- Honorarios, Pluxee, proveedores/acreedores, pensiones, préstamos y viáticos sin respaldo de nómina permanecen fuera de Panamá V1. +- No se fuerzan matches ambiguos de nombres/BambooHR. +- Las cuentas y nombres mantienen trazabilidad al archivo/envío/plan de origen. +- Si ya existe el reporte del mismo país/año/mes/período, reutiliza el Google Sheet, preserva resoluciones que sigan correspondiendo y envía correo de **Reporte actualizado**. +- Si es una ejecución nueva, envía correo de **Nuevo reporte generado**. +- Marcar un reporte como resuelto actualiza Supabase y envía el correo de resolución. +- `Banco sin Bamboo` puede enviarse a RRHH mediante el mismo flujo compartido usado por GT/TT. + +## RRHH Panamá + +La versión entregada envía las correcciones de identidad de Panamá a: +- Delarys Peñalba — `dpenalba@gomezleemarketing.com` +- Ariadne Cortéz — `acortez02@gomezleemarketing.com` + +## Estructura del reporte + +Se conserva la misma estructura del portal: +1. `01 Nómina vs Banco` +2. `02 Banco sin Nómina` +3. `03 Banco sin Bamboo` +4. `04 Diferencias nombre banco` +5. `05 Cuenta Mal Digitada` cuando existan casos +6. `06 Resumen` si existe la hoja anterior; de lo contrario `05 Resumen` + +La columna `Resolución` se conserva en las hojas de revisión para permitir actualización sin perder los comentarios vigentes que sigan correspondiendo al mismo caso. + +## Regresión recomendada + +1. Probar **enero 2026 Q15** y **enero 2026 Q30**. +2. Probar **febrero 2026 Q15/Q30** para validar archivos mixtos y conceptos engañosos. +3. Probar **marzo 2026** para validar discrepancias/pagos sin nómina. +4. Probar **abril 2026** para validar XIII Mes/Décimo y suplementos. +5. Validar que el correo cambie de `Nuevo reporte generado` a `Reporte actualizado` al ejecutar de nuevo el mismo período. +6. Desde Históricos, marcar un reporte resuelto y confirmar correo. +7. Abrir un caso Banco sin Bamboo, reportarlo a RRHH y comprobar que el alias quede guardado para futuras ejecuciones. +8. Ejecutar una prueba rápida de GT y TT para confirmar que los dos workflows compartidos siguen sin regresión. + +## Nota de seguridad operativa + +No publiques simultáneamente dos versiones de un workflow compartido con el mismo webhook. Importa primero, valida credenciales y luego cambia cuál versión queda activa. diff --git a/Portal de Verificaci├│n de N├│mina - Analizar N├│mina con Gemini GT TT PA SV.json b/Portal de Verificaci├│n de N├│mina - Analizar N├│mina con Gemini GT TT PA SV.json new file mode 100644 index 0000000..24af911 --- /dev/null +++ b/Portal de Verificaci├│n de N├│mina - Analizar N├│mina con Gemini GT TT PA SV.json @@ -0,0 +1,274 @@ +{ + "name": "Portal de Verificación de Nómina - Analizar Nómina con Gemini Guatemala Trinidad y Tobago Panamá y El Salvador", + "nodes": [ + { + "parameters": { + "httpMethod": "POST", + "path": "cruce-cuentas-analizar-nomina", + "responseMode": "responseNode", + "options": {} + }, + "type": "n8n-nodes-base.webhook", + "typeVersion": 2.1, + "position": [ + 5856, + 2192 + ], + "id": "74962393-93af-4069-ad07-4fdb7ed061cd", + "name": "Webhook - Analizar Nómina", + "webhookId": "eeac8670-bf13-4907-8b28-209fada284d0" + }, + { + "parameters": { + "jsCode": "const input = $input.first().json || {};\n\nlet body = input.body ?? input;\n\nif (typeof body === 'string') {\n try {\n body = JSON.parse(body);\n } catch (error) {\n body = {};\n }\n}\n\nif (!body || typeof body !== 'object' || Array.isArray(body)) {\n body = {};\n}\n\nfunction clean(value) {\n return String(value ?? '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nconst fileName = clean(\n body.fileName ??\n body.filename ??\n body.file_name ??\n ''\n);\n\nconst country = clean(\n body.country ?? 'GT'\n).toUpperCase();\n\nconst supportedCountries = {\n GT: 'Guatemala',\n TT: 'Trinidad y Tobago',\n PA: 'Panamá',\n SV: 'El Salvador',\n};\n\nconst countryName = clean(\n body.countryName ??\n body.country_name ??\n supportedCountries[country] ??\n ''\n);\n\nconst errors = [];\n\nif (!fileName) {\n errors.push(\n 'No se recibió el nombre del archivo de nómina.'\n );\n}\n\nif (!Object.prototype.hasOwnProperty.call(\n supportedCountries,\n country\n)) {\n errors.push(\n 'El analizador solo está habilitado para Guatemala, Trinidad y Tobago, Panamá y El Salvador.'\n );\n}\n\nconst supportedExtensions = [\n '.xlsx',\n '.xls',\n '.xlsm',\n '.csv',\n];\n\nconst lowerFileName = fileName.toLowerCase();\n\nconst hasSupportedExtension =\n supportedExtensions.some((extension) =>\n lowerFileName.endsWith(extension)\n );\n\nif (fileName && !hasSupportedExtension) {\n errors.push(\n 'El archivo recibido no tiene una extensión de nómina compatible.'\n );\n}\n\nreturn [\n {\n json: {\n ok: errors.length === 0,\n errors,\n\n fileName,\n country,\n countryName:\n countryName ||\n supportedCountries[country] ||\n '',\n\n receivedAt: new Date().toISOString(),\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 6064, + 2192 + ], + "id": "115af80d-9c31-4ce3-80b0-bdd9abe93397", + "name": "Validar y preparar solicitud" + }, + { + "parameters": { + "conditions": { + "options": { + "caseSensitive": true, + "leftValue": "", + "typeValidation": "strict", + "version": 3 + }, + "conditions": [ + { + "id": "bd9fd675-d72b-4dba-ac03-a44f1123ecb0", + "leftValue": "={{ $json.ok }}", + "rightValue": "", + "operator": { + "type": "boolean", + "operation": "true", + "singleValue": true + } + } + ], + "combinator": "and" + }, + "options": {} + }, + "type": "n8n-nodes-base.if", + "typeVersion": 2.3, + "position": [ + 6272, + 2192 + ], + "id": "37b913db-c906-4527-9c73-0831ea9765be", + "name": "¿Solicitud válida?" + }, + { + "parameters": { + "respondWith": "json", + "responseBody": "={{\n{\n ok: false,\n message:\n 'No fue posible analizar el nombre del archivo.',\n errors: Array.isArray($json.errors)\n ? $json.errors\n : ['La solicitud recibida no es válida.'],\n detected: null\n}\n}}", + "options": { + "responseCode": 400, + "responseHeaders": { + "entries": [ + { + "name": "Content-Type", + "value": "application/json" + } + ] + } + } + }, + "type": "n8n-nodes-base.respondToWebhook", + "typeVersion": 1.5, + "position": [ + 6480, + 2288 + ], + "id": "2e8fd49a-0db0-49ba-8354-6414b570f593", + "name": "Responder error" + }, + { + "parameters": { + "text": "={{\n`Analiza este nombre de archivo de nómina:\n\nPaís seleccionado: ${$json.countryName}\nCódigo del país: ${$json.country}\nNombre del archivo: ${$json.fileName}`\n}}", + "schemaType": "manual", + "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"country\": {\n \"type\": \"string\",\n \"enum\": [\n \"GT\",\n \"TT\",\n \"PA\",\n \"SV\"\n ]\n },\n \"year\": {\n \"type\": \"integer\",\n \"minimum\": 0,\n \"maximum\": 2100\n },\n \"month\": {\n \"type\": \"integer\",\n \"minimum\": 0,\n \"maximum\": 12\n },\n \"period_type\": {\n \"type\": \"string\",\n \"enum\": [\n \"quincena_15\",\n \"quincena_30\",\n \"mensual\",\n \"desconocido\"\n ]\n },\n \"confidence\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1\n },\n \"explanation\": {\n \"type\": \"string\"\n }\n },\n \"required\": [\n \"country\",\n \"year\",\n \"month\",\n \"period_type\",\n \"confidence\",\n \"explanation\"\n ],\n \"additionalProperties\": false\n}", + "options": { + "systemPromptTemplate": "Eres un clasificador determinista de nombres de archivos de nómina.\n\nTu tarea es identificar el país seleccionado, el año, el mes y el período de pago utilizando únicamente la información presente en el nombre del archivo y el país recibido.\n\nNo inventes datos que no estén contenidos o razonablemente codificados en el nombre.\n\nREGLAS GENERALES:\n\n1. Devuelve exactamente el código de país recibido:\n - GT para Guatemala.\n - TT para Trinidad y Tobago.\n - PA para Panamá.\n - SV para El Salvador.\n\n2. Detecta el año de cuatro dígitos. También puede aparecer dentro de una fecha compacta como YYYYMMDD; por ejemplo, 20260617 representa el año 2026.\n\n3. Convierte el mes a un número aceptando nombres en español o inglés:\n Enero / January = 1\n Febrero / February = 2\n Marzo / March = 3\n Abril / April = 4\n Mayo / May = 5\n Junio / June = 6\n Julio / July = 7\n Agosto / August = 8\n Septiembre / September = 9\n Octubre / October = 10\n Noviembre / November = 11\n Diciembre / December = 12\n\n4. Usa period_type = quincena_15 cuando aparezca cualquiera de estas señales:\n - 1Q\n - Q1\n - Primera quincena\n - 1ra quincena\n - First fortnight\n - First half\n - Mid month\n - Día 15\n - 15th\n\n5. Usa period_type = quincena_30 cuando aparezca cualquiera de estas señales:\n - 2Q\n - Q2\n - Segunda quincena\n - 2da quincena\n - Second fortnight\n - Second half\n - Fin de mes\n - End of month\n - Month end\n - Día 30\n - Día 31\n - 30th\n - 31st\n - El último día real del mes, incluyendo 28 o 29 de febrero\n\n6. Aunque el último día real del mes no sea 30, utiliza quincena_30 para representar la segunda quincena o cierre de mes.\n\n7. Si solamente aparecen el mes y el año, sin ninguna señal de quincena ni día de cierre, utiliza mensual.\n\n8. Para nombres como \"GLM_TT_Payroll June 30TH_20260617.xlsx\":\n - country = TT\n - year = 2026\n - month = 6\n - period_type = quincena_30\n\n9. Si no puedes identificar de manera confiable el año o el mes, utiliza:\n year = 0\n month = 0\n period_type = desconocido\n\n10. confidence debe estar entre 0 y 1.\n\n11. explanation debe ser breve y mencionar las señales encontradas en el nombre.\n\nNo agregues campos diferentes a los definidos por el esquema." + } + }, + "type": "@n8n/n8n-nodes-langchain.informationExtractor", + "typeVersion": 1.2, + "position": [ + 6480, + 1920 + ], + "id": "515d1b33-6516-47c8-ab38-ecc18169f2bf", + "name": "Extraer período con Gemini", + "retryOnFail": true, + "waitBetweenTries": 2000, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "modelName": "models/gemini-2.5-pro", + "options": {} + }, + "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", + "typeVersion": 1.1, + "position": [ + 6480, + 2096 + ], + "id": "b17d19bf-cbb7-4f77-b2fd-227eb66a8f4f", + "name": "Gemini - Analizar título nómina", + "credentials": { + "googlePalmApi": { + "id": "jvsXYwL6IOoY2DBU", + "name": "Isaac - Gemini Api Pago" + } + } + }, + { + "parameters": { + "jsCode": "const request =\n $('Validar y preparar solicitud').first().json || {};\n\nconst incoming = $input.first().json || {};\n\nfunction cleanText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalizeText(value) {\n return cleanText(value)\n .toUpperCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[_\\-.,()[\\]{}]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction parseObject(value) {\n if (\n value &&\n typeof value === 'object' &&\n !Array.isArray(value)\n ) {\n return value;\n }\n\n if (typeof value !== 'string') {\n return {};\n }\n\n const cleaned = value\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n\n try {\n return JSON.parse(cleaned);\n } catch (error) {\n return {};\n }\n}\n\nfunction clamp(value, minimum, maximum) {\n const number = Number(value);\n\n if (!Number.isFinite(number)) {\n return minimum;\n }\n\n return Math.min(\n maximum,\n Math.max(minimum, number)\n );\n}\n\nfunction pad(number) {\n return String(number).padStart(2, '0');\n}\n\nfunction getLastDay(year, month) {\n return new Date(\n Date.UTC(year, month, 0)\n ).getUTCDate();\n}\n\nfunction buildPeriodDates(\n year,\n month,\n periodType\n) {\n if (\n !Number.isInteger(year) ||\n year < 2000 ||\n !Number.isInteger(month) ||\n month < 1 ||\n month > 12\n ) {\n return {\n periodStart: null,\n periodEnd: null,\n };\n }\n\n const lastDay = getLastDay(year, month);\n const yearMonth = `${year}-${pad(month)}`;\n\n if (periodType === 'quincena_15') {\n return {\n periodStart: `${yearMonth}-01`,\n periodEnd: `${yearMonth}-15`,\n };\n }\n\n if (periodType === 'quincena_30') {\n return {\n periodStart: `${yearMonth}-16`,\n periodEnd:\n `${yearMonth}-${pad(lastDay)}`,\n };\n }\n\n if (periodType === 'mensual') {\n return {\n periodStart: `${yearMonth}-01`,\n periodEnd:\n `${yearMonth}-${pad(lastDay)}`,\n };\n }\n\n return {\n periodStart: null,\n periodEnd: null,\n };\n}\n\nconst countryNames = {\n GT: 'Guatemala',\n TT: 'Trinidad y Tobago',\n PA: 'Panamá',\n SV: 'El Salvador',\n};\n\nconst country = ['GT', 'TT', 'PA', 'SV'].includes(\n String(request.country || '').toUpperCase()\n)\n ? String(request.country).toUpperCase()\n : 'GT';\n\nconst countryName =\n request.countryName ||\n countryNames[country];\n\nconst monthNames = {\n 1: 'Enero',\n 2: 'Febrero',\n 3: 'Marzo',\n 4: 'Abril',\n 5: 'Mayo',\n 6: 'Junio',\n 7: 'Julio',\n 8: 'Agosto',\n 9: 'Septiembre',\n 10: 'Octubre',\n 11: 'Noviembre',\n 12: 'Diciembre',\n};\n\nconst monthPatterns = [\n ['ENERO', 1],\n ['JANUARY', 1],\n ['JAN', 1],\n\n ['FEBRERO', 2],\n ['FEBRUARY', 2],\n ['FEB', 2],\n\n ['MARZO', 3],\n ['MARCH', 3],\n ['MAR', 3],\n\n ['ABRIL', 4],\n ['APRIL', 4],\n ['APR', 4],\n\n ['MAYO', 5],\n ['MAY', 5],\n\n ['JUNIO', 6],\n ['JUNE', 6],\n ['JUN', 6],\n\n ['JULIO', 7],\n ['JULY', 7],\n ['JUL', 7],\n\n ['AGOSTO', 8],\n ['AUGUST', 8],\n ['AUG', 8],\n\n ['SEPTIEMBRE', 9],\n ['SETIEMBRE', 9],\n ['SEPTEMBER', 9],\n ['SEPT', 9],\n ['SEP', 9],\n\n ['OCTUBRE', 10],\n ['OCTOBER', 10],\n ['OCT', 10],\n\n ['NOVIEMBRE', 11],\n ['NOVEMBER', 11],\n ['NOV', 11],\n\n ['DICIEMBRE', 12],\n ['DECEMBER', 12],\n ['DEC', 12],\n];\n\nconst monthPatternText =\n monthPatterns\n .map(([name]) => name)\n .sort((a, b) => b.length - a.length)\n .join('|');\n\nconst validPeriodTypes = new Set([\n 'quincena_15',\n 'quincena_30',\n 'mensual',\n 'desconocido',\n]);\n\nconst fileName = cleanText(request.fileName);\nconst normalizedFileName =\n normalizeText(fileName);\n\nconst compactDateMatch =\n normalizedFileName.match(\n /\\b(20\\d{2})(0[1-9]|1[0-2])([0-2]\\d|3[01])\\b/\n );\n\nconst standaloneYearMatch =\n normalizedFileName.match(/\\b(20\\d{2})\\b/);\n\nconst fallbackYear = standaloneYearMatch\n ? Number(standaloneYearMatch[1])\n : compactDateMatch\n ? Number(compactDateMatch[1])\n : 0;\n\nlet fallbackMonth = 0;\n\nfor (const [monthName, monthNumber] of monthPatterns) {\n const monthRegex = new RegExp(\n `\\\\b${monthName}\\\\b`\n );\n\n if (monthRegex.test(normalizedFileName)) {\n fallbackMonth = monthNumber;\n break;\n }\n}\n\nif (!fallbackMonth && compactDateMatch) {\n fallbackMonth = Number(compactDateMatch[2]);\n}\n\nconst monthThenDayRegex = new RegExp(\n `\\\\b(?:${monthPatternText})\\\\s+([0-3]?\\\\d)(?:ST|ND|RD|TH)?\\\\b`\n);\n\nconst dayThenMonthRegex = new RegExp(\n `\\\\b([0-3]?\\\\d)(?:ST|ND|RD|TH)?\\\\s+(?:DE\\\\s+)?(?:${monthPatternText})\\\\b`\n);\n\nconst explicitDayRegex =\n /\\b(?:DIA|DAY)\\s+([0-3]?\\d)(?:ST|ND|RD|TH)?\\b/;\n\nconst monthThenDayMatch =\n normalizedFileName.match(monthThenDayRegex);\n\nconst dayThenMonthMatch =\n normalizedFileName.match(dayThenMonthRegex);\n\nconst explicitDayMatch =\n normalizedFileName.match(explicitDayRegex);\n\nconst detectedDay = monthThenDayMatch\n ? Number(monthThenDayMatch[1])\n : dayThenMonthMatch\n ? Number(dayThenMonthMatch[1])\n : explicitDayMatch\n ? Number(explicitDayMatch[1])\n : 0;\n\nconst firstFortnight =\n /\\b(1Q|Q1)\\b/.test(normalizedFileName) ||\n normalizedFileName.includes(\n 'PRIMERA QUINCENA'\n ) ||\n normalizedFileName.includes(\n '1RA QUINCENA'\n ) ||\n normalizedFileName.includes(\n 'FIRST FORTNIGHT'\n ) ||\n normalizedFileName.includes(\n 'FIRST HALF'\n ) ||\n normalizedFileName.includes(\n 'MID MONTH'\n ) ||\n normalizedFileName.includes(\n 'MIDMONTH'\n );\n\nconst secondFortnight =\n /\\b(2Q|Q2)\\b/.test(normalizedFileName) ||\n normalizedFileName.includes(\n 'SEGUNDA QUINCENA'\n ) ||\n normalizedFileName.includes(\n '2DA QUINCENA'\n ) ||\n normalizedFileName.includes(\n 'SECOND FORTNIGHT'\n ) ||\n normalizedFileName.includes(\n 'SECOND HALF'\n ) ||\n normalizedFileName.includes(\n 'FIN DE MES'\n ) ||\n normalizedFileName.includes(\n 'END OF MONTH'\n ) ||\n normalizedFileName.includes(\n 'MONTH END'\n ) ||\n normalizedFileName.includes(\n 'MONTHEND'\n );\n\nlet fallbackPeriodType = 'desconocido';\nlet fallbackConfidence = 0.2;\nlet strongPeriodEvidence = false;\n\nif (firstFortnight) {\n fallbackPeriodType = 'quincena_15';\n fallbackConfidence = 0.98;\n strongPeriodEvidence = true;\n} else if (secondFortnight) {\n fallbackPeriodType = 'quincena_30';\n fallbackConfidence = 0.98;\n strongPeriodEvidence = true;\n} else if (detectedDay === 15) {\n fallbackPeriodType = 'quincena_15';\n fallbackConfidence = 0.95;\n strongPeriodEvidence = true;\n} else if (\n fallbackYear &&\n fallbackMonth &&\n detectedDay === getLastDay(\n fallbackYear,\n fallbackMonth\n )\n) {\n fallbackPeriodType = 'quincena_30';\n fallbackConfidence = 0.95;\n strongPeriodEvidence = true;\n} else if (\n detectedDay === 30 ||\n detectedDay === 31\n) {\n fallbackPeriodType = 'quincena_30';\n fallbackConfidence = 0.94;\n strongPeriodEvidence = true;\n} else if (\n fallbackYear &&\n fallbackMonth\n) {\n fallbackPeriodType = 'mensual';\n fallbackConfidence = 0.75;\n}\n\nlet rawAI =\n incoming.output ??\n incoming.result ??\n incoming.text ??\n incoming;\n\nrawAI = parseObject(rawAI);\n\nconst aiCountry =\n String(rawAI.country || '').toUpperCase();\n\nconst aiYear = Number(rawAI.year);\nconst aiMonth = Number(rawAI.month);\n\nconst aiPeriodType =\n validPeriodTypes.has(rawAI.period_type)\n ? rawAI.period_type\n : 'desconocido';\n\nconst aiConfidence = clamp(\n rawAI.confidence,\n 0,\n 1\n);\n\nconst aiIsUsable =\n Number.isInteger(aiYear) &&\n aiYear >= 2000 &&\n aiYear <= 2100 &&\n Number.isInteger(aiMonth) &&\n aiMonth >= 1 &&\n aiMonth <= 12 &&\n aiPeriodType !== 'desconocido';\n\nlet year =\n fallbackYear ||\n (aiIsUsable ? aiYear : 0);\n\nlet month =\n fallbackMonth ||\n (aiIsUsable ? aiMonth : 0);\n\nlet periodType =\n aiIsUsable\n ? aiPeriodType\n : fallbackPeriodType;\n\nlet source =\n aiIsUsable\n ? 'gemini'\n : 'local_fallback';\n\nlet confidence =\n aiIsUsable\n ? aiConfidence\n : fallbackConfidence;\n\nlet conflictResolved = false;\n\nif (\n aiCountry &&\n aiCountry !== country\n) {\n source = 'gemini_validated_with_rules';\n conflictResolved = true;\n}\n\nif (\n strongPeriodEvidence &&\n periodType !== fallbackPeriodType\n) {\n periodType = fallbackPeriodType;\n source = 'gemini_validated_with_rules';\n confidence = Math.max(\n fallbackConfidence,\n Math.min(aiConfidence, 0.9)\n );\n conflictResolved = true;\n}\n\nif (\n fallbackYear &&\n aiIsUsable &&\n aiYear !== fallbackYear\n) {\n year = fallbackYear;\n source = 'gemini_validated_with_rules';\n conflictResolved = true;\n}\n\nif (\n fallbackMonth &&\n aiIsUsable &&\n aiMonth !== fallbackMonth\n) {\n month = fallbackMonth;\n source = 'gemini_validated_with_rules';\n conflictResolved = true;\n}\n\nif (\n !aiIsUsable &&\n fallbackYear &&\n fallbackMonth\n) {\n year = fallbackYear;\n month = fallbackMonth;\n periodType = fallbackPeriodType;\n confidence = fallbackConfidence;\n source = 'local_fallback';\n}\n\nconst complete =\n year >= 2000 &&\n month >= 1 &&\n month <= 12 &&\n periodType !== 'desconocido';\n\nconst dates = buildPeriodDates(\n year,\n month,\n periodType\n);\n\nlet periodDescription = 'Período desconocido';\n\nif (periodType === 'quincena_15') {\n periodDescription = 'Quincena 15';\n}\n\nif (periodType === 'quincena_30') {\n periodDescription =\n 'Quincena 30 / fin de mes';\n}\n\nif (periodType === 'mensual') {\n periodDescription = 'Mensual';\n}\n\nconst monthLabel =\n monthNames[month] || 'Mes desconocido';\n\nconst periodLabel = complete\n ? `${monthLabel} ${year} · ${periodDescription}`\n : 'Período pendiente de confirmar';\n\nconst requiresManualReview =\n !complete ||\n confidence < 0.75;\n\nconst explanation =\n cleanText(rawAI.explanation) ||\n (\n source === 'local_fallback'\n ? 'El período fue identificado mediante las reglas locales de respaldo.'\n : 'El período fue identificado mediante Gemini y validado con las reglas del portal.'\n );\n\nreturn [\n {\n json: {\n ok: true,\n\n message: requiresManualReview\n ? 'El archivo fue analizado, pero el período debe confirmarse manualmente.'\n : 'El período de la nómina fue detectado correctamente.',\n\n detected: {\n country,\n countryName,\n\n fileName,\n\n year,\n month,\n\n periodType,\n period_type: periodType,\n\n periodLabel,\n period_label: periodLabel,\n\n periodStart: dates.periodStart,\n period_start: dates.periodStart,\n\n periodEnd: dates.periodEnd,\n period_end: dates.periodEnd,\n\n confidence:\n Math.round(confidence * 100) / 100,\n\n complete,\n requiresManualReview,\n requires_manual_review:\n requiresManualReview,\n\n source,\n conflictResolved,\n explanation,\n },\n\n debug: {\n fallback: {\n country,\n year: fallbackYear,\n month: fallbackMonth,\n periodType: fallbackPeriodType,\n detectedDay,\n confidence: fallbackConfidence,\n strongPeriodEvidence,\n compactDate:\n compactDateMatch?.[0] || null,\n },\n\n gemini: {\n country: aiCountry || null,\n year: aiYear || 0,\n month: aiMonth || 0,\n periodType: aiPeriodType,\n confidence: aiConfidence,\n explanation:\n cleanText(rawAI.explanation),\n },\n },\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 6816, + 1936 + ], + "id": "ea14695e-2fec-4c28-b181-5c3c925b1182", + "name": "Normalizar análisis IA" + }, + { + "parameters": { + "options": { + "responseCode": 200, + "responseHeaders": { + "entries": [ + { + "name": "Content-Type", + "value": "application/json" + } + ] + } + } + }, + "type": "n8n-nodes-base.respondToWebhook", + "typeVersion": 1.5, + "position": [ + 7024, + 1936 + ], + "id": "6908b84d-597b-48d0-b448-58086d9f3b90", + "name": "Responder análisis" + }, + { + "parameters": { + "content": "# 🧠 ANÁLISIS AUTOMÁTICO DE NÓMINA — GT, TT y PA\n\nAnaliza el nombre o título del archivo de nómina para identificar automáticamente el período correspondiente antes de ejecutar la verificación.\n\n## Recepción y validación\n\nEl Webhook recibe desde el Portal de Verificación de Nóminas la información del archivo seleccionado.\n\nLa solicitud puede incluir:\n\n- Nombre del archivo.\n- Título o descripción disponible.\n- País o portal de origen.\n- Identificador de la solicitud.\n- Información complementaria enviada por la aplicación.\n\nAntes de utilizar inteligencia artificial, el flujo valida que exista suficiente información para analizar el archivo.\n\n## Extracción con Gemini\n\nCuando la solicitud es válida, Gemini interpreta el nombre o título de la nómina e intenta determinar:\n\n- Año.\n- Mes.\n- Tipo de período.\n- Quincena 15.\n- Quincena 30 o fin de mes.\n- Nómina mensual.\n- País, cuando puede inferirse de forma confiable.\n- Nivel de confianza del análisis.\n\nGemini se utiliza únicamente para interpretar el texto recibido; no ejecuta el cruce de nómina ni modifica información.\n\n## Normalización del resultado\n\nLa respuesta de Gemini se transforma al formato requerido por la aplicación.\n\nEste bloque:\n\n- Limpia texto adicional generado por la IA.\n- Normaliza el año a formato numérico.\n- Convierte el mes al valor esperado por el portal.\n- Estandariza el tipo de período.\n- Corrige variaciones como “segunda quincena”, “fin de mes” o “30”.\n- Conserva los valores originales cuando la IA no puede determinar un dato.\n- Prepara una respuesta consistente para Guatemala, Trinidad y Tobago, Panamá y El Salvador.\n\n## Respuesta al portal\n\nCuando el análisis termina, el workflow devuelve a la aplicación:\n\n- Indicador de éxito.\n- Año detectado.\n- Mes detectado.\n- Tipo de período detectado.\n- País identificado, cuando corresponda.\n- Nivel de confianza.\n- Datos que requieren revisión manual.\n\nLos valores detectados sirven para completar automáticamente el formulario, pero el usuario puede corregirlos antes de ejecutar el proceso.\n\n## Ruta de error\n\nCuando la solicitud es inválida:\n\n- No se llama a Gemini.\n- No se intenta interpretar información incompleta.\n- Se devuelve una respuesta de error al portal.\n- Se indica que falta el nombre del archivo u otro dato obligatorio.\n\n## Reglas\n\n- No inventar un período cuando el título no contiene información suficiente.\n- No ejecutar el cruce de nómina desde este workflow.\n- No tratar una predicción de baja confianza como un dato definitivo.\n- Mantener la opción de corrección manual en la aplicación.\n- Responder siempre al Webhook, tanto en la ruta válida como en la ruta de error.\n- Utilizar una estructura de respuesta compatible con los portales de Guatemala, Trinidad y Tobago, Panamá y El Salvador.", + "height": 1488, + "width": 2256, + "color": 2 + }, + "type": "n8n-nodes-base.stickyNote", + "typeVersion": 1, + "position": [ + 4992, + 1376 + ], + "id": "527d1476-9a32-474a-b493-1070e9ee34f6", + "name": "Sticky Note" + } + ], + "pinData": {}, + "connections": { + "Webhook - Analizar Nómina": { + "main": [ + [ + { + "node": "Validar y preparar solicitud", + "type": "main", + "index": 0 + } + ] + ] + }, + "Validar y preparar solicitud": { + "main": [ + [ + { + "node": "¿Solicitud válida?", + "type": "main", + "index": 0 + } + ] + ] + }, + "¿Solicitud válida?": { + "main": [ + [ + { + "node": "Extraer período con Gemini", + "type": "main", + "index": 0 + } + ], + [ + { + "node": "Responder error", + "type": "main", + "index": 0 + } + ] + ] + }, + "Gemini - Analizar título nómina": { + "ai_languageModel": [ + [ + { + "node": "Extraer período con Gemini", + "type": "ai_languageModel", + "index": 0 + } + ] + ] + }, + "Extraer período con Gemini": { + "main": [ + [ + { + "node": "Normalizar análisis IA", + "type": "main", + "index": 0 + } + ] + ] + }, + "Normalizar análisis IA": { + "main": [ + [ + { + "node": "Responder análisis", + "type": "main", + "index": 0 + } + ] + ] + } + }, + "active": false, + "settings": { + "executionOrder": "v1", + "binaryMode": "separate", + "availableInMCP": true, + "timeSavedMode": "fixed", + "errorWorkflow": "puF4LUczoSz3hcek", + "timezone": "America/Santo_Domingo", + "callerPolicy": "workflowsFromSameOwner" + }, + "tags": [] +} \ No newline at end of file diff --git a/Portal de Verificaci├│n de N├│mina - El Salvador.json b/Portal de Verificaci├│n de N├│mina - El Salvador.json new file mode 100644 index 0000000..3e79da3 --- /dev/null +++ b/Portal de Verificaci├│n de N├│mina - El Salvador.json @@ -0,0 +1,1058 @@ +{ + "name": "Portal de Verificación de Nómina - El Salvador", + "nodes": [ + { + "parameters": { + "httpMethod": "POST", + "path": "nominasv-bamboo-test", + "responseMode": "responseNode", + "options": {} + }, + "type": "n8n-nodes-base.webhook", + "typeVersion": 2.1, + "position": [ + -1472, + 4272 + ], + "id": "78f3f252-c9cd-4fbb-9616-2f52f37d9b0f", + "name": "Webhook", + "webhookId": "6c5b1dd6-e7b3-484b-b6be-3093adc82c01" + }, + { + "parameters": { + "jsCode": "const item = $input.first();\nconst body = item.json.body || {};\nconst binary = item.binary || {};\n\nlet metadata = {};\ntry {\n metadata = typeof body.metadata === 'string'\n ? JSON.parse(body.metadata)\n : body.metadata || {};\n} catch (error) {\n metadata = {};\n}\n\nconst binaryKeys = Object.keys(binary);\n\nfunction naturalBinarySort(left, right) {\n return String(left).localeCompare(String(right), undefined, {\n numeric: true,\n sensitivity: 'base',\n });\n}\n\n// La app envía cada archivo dos veces por compatibilidad:\n// - campos multipart repetidos: payroll_files / bank_files\n// - campos únicos numerados: payroll_file_1 / bank_file_1\n//\n// En n8n los campos repetidos pueden materializarse como payroll_files0,\n// bank_files0, etc. Priorizamos los campos únicos numerados para evitar\n// duplicar archivos y usamos los repetidos solo como respaldo.\nconst numberedPayrollKeys = binaryKeys\n .filter((key) => /^payroll_file_\\d+$/i.test(key))\n .sort(naturalBinarySort);\n\nconst repeatedPayrollKeys = binaryKeys\n .filter((key) => /^payroll_files(?:_?\\d+)?$/i.test(key))\n .sort(naturalBinarySort);\n\nlet payrollKeys = numberedPayrollKeys.length\n ? numberedPayrollKeys\n : repeatedPayrollKeys;\n\nif (payrollKeys.length === 0 && binary.payroll_file) {\n payrollKeys = ['payroll_file'];\n}\n\nconst numberedBankKeys = binaryKeys\n .filter((key) => /^bank_file_\\d+$/i.test(key))\n .sort(naturalBinarySort);\n\nconst repeatedBankKeys = binaryKeys\n .filter((key) => /^bank_files(?:_?\\d+)?$/i.test(key))\n .sort(naturalBinarySort);\n\nconst bankKeys = numberedBankKeys.length\n ? numberedBankKeys\n : repeatedBankKeys;\n\nconst payrollFiles = payrollKeys.map((key) => ({\n binary_key: key,\n file_name: binary[key]?.fileName || key,\n file_extension: binary[key]?.fileExtension || '',\n mime_type: binary[key]?.mimeType || '',\n file_size: binary[key]?.fileSize || null,\n}));\n\nconst bankFiles = bankKeys.map((key) => ({\n binary_key: key,\n file_name: binary[key]?.fileName || key,\n file_extension: binary[key]?.fileExtension || '',\n mime_type: binary[key]?.mimeType || '',\n file_size: binary[key]?.fileSize || null,\n}));\n\nconst receivedCountry = String(metadata.country || '').trim().toUpperCase();\nconst errors = [];\n\nif (receivedCountry !== 'SV') {\n errors.push('El país recibido no es El Salvador.');\n}\nif (!metadata.year) errors.push('No se recibió el año del cruce.');\nif (!metadata.month) errors.push('No se recibió el mes del cruce.');\nif (!metadata.period_type) errors.push('No se recibió el tipo de quincena.');\nif (!metadata.period_start || !metadata.period_end) {\n errors.push('No se recibió el período calculado.');\n}\nif (payrollFiles.length === 0) {\n errors.push('No se recibió ningún archivo Excel de nómina de El Salvador.');\n}\nif (bankFiles.length === 0) {\n errors.push('No se recibió ningún archivo CSV bancario de El Salvador.');\n}\n\nconst mainPayroll =\n payrollFiles.find((file) => /(?:general|nestle|nestlé|motorola|karla)/i.test(file.file_name)) ||\n payrollFiles[0] ||\n null;\n\nconst normalizedMetadata = {\n ...metadata,\n country: 'SV',\n country_name: 'El Salvador',\n source_app: metadata.source_app || 'portal-cruce-cuentas-glm',\n payroll_file_name:\n metadata.payroll_file_name || mainPayroll?.file_name || '',\n payroll_file_names:\n Array.isArray(metadata.payroll_file_names) && metadata.payroll_file_names.length\n ? metadata.payroll_file_names\n : payrollFiles.map((file) => file.file_name),\n bank_file_names:\n Array.isArray(metadata.bank_file_names) && metadata.bank_file_names.length\n ? metadata.bank_file_names\n : bankFiles.map((file) => file.file_name),\n};\n\nreturn [{\n json: {\n ok: errors.length === 0,\n stage: 'entrada_sv_recibida',\n errors,\n metadata: normalizedMetadata,\n payroll_files: payrollFiles,\n bank_files: bankFiles,\n summary: {\n payroll_files_count: payrollFiles.length,\n bank_files_count: bankFiles.length,\n },\n },\n binary,\n}];\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + -1232, + 4272 + ], + "id": "d86028f8-626a-4295-b688-2408ec2b9de2", + "name": "Preparar entrada app" + }, + { + "parameters": { + "jsCode": "const input = $input.first();\nconst json = input.json || {};\nconst binary = input.binary || {};\n\nfunction parseCsvLine(line) {\n const result = [];\n let current = '';\n let insideQuotes = false;\n\n for (let i = 0; i < line.length; i++) {\n const char = line[i];\n const next = line[i + 1];\n\n if (char === '\"' && insideQuotes && next === '\"') {\n current += '\"';\n i += 1;\n continue;\n }\n if (char === '\"') {\n insideQuotes = !insideQuotes;\n continue;\n }\n if (char === ',' && !insideQuotes) {\n result.push(current.trim());\n current = '';\n continue;\n }\n current += char;\n }\n\n result.push(current.trim());\n return result;\n}\n\nfunction clean(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\u00A0/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalize(value) {\n return clean(value)\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\u00A0/g, '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction isValidAccount(value) {\n const account = normalizeAccount(value);\n return account.length >= 6 && !/^0+$/.test(account);\n}\n\nfunction accountFromReference(value) {\n const digits = normalizeAccount(value);\n if (!digits) return '';\n // Los planos ESV suelen anteponer 3 dígitos de referencia a la cuenta.\n if (digits.length >= 12) {\n const withoutPrefix = digits.slice(3);\n if (isValidAccount(withoutPrefix)) return withoutPrefix;\n }\n return digits;\n}\n\nfunction parseMoney(value) {\n const cleaned = String(value ?? '')\n .replace(/USD/gi, '')\n .replace(/B\\//gi, '')\n .replace(/\\$/g, '')\n .replace(/,/g, '')\n .replace(/\\s+/g, '')\n .trim();\n\n const parsed = Number.parseFloat(cleaned);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction getColumnIndex(headers, names) {\n const normalizedHeaders = headers.map(normalize);\n\n for (const name of names) {\n const expected = normalize(name);\n const index = normalizedHeaders.findIndex((header) => header === expected);\n if (index >= 0) return index;\n }\n\n for (const name of names) {\n const expected = normalize(name);\n const index = normalizedHeaders.findIndex((header) => header.includes(expected));\n if (index >= 0) return index;\n }\n\n return -1;\n}\n\nfunction extractShipmentNumber(lines, fileName) {\n for (const line of lines.slice(0, 35)) {\n const normalized = normalize(line);\n const match = normalized.match(/(?:detalle del envio|numero de envio)[^0-9]{0,30}(\\d{1,20})/);\n if (match?.[1]) return match[1];\n }\n\n const fileMatch = String(fileName || '').match(/_(\\d{3,6})_\\d{6,8}/);\n return fileMatch?.[1] || '';\n}\n\nfunction extractPlanNumber(lines, fileName) {\n for (const line of lines.slice(0, 35)) {\n const normalized = normalize(line);\n const match = normalized.match(/(?:numero de plan|plan)[^a-z0-9]{0,20}([a-z0-9-]{2,30})/);\n if (match?.[1]) return String(match[1]).toUpperCase();\n }\n\n const fileMatch = String(fileName || '').match(/(?:plan\\s+)([A-Za-z0-9-]{2,30})/i);\n return fileMatch?.[1]?.toUpperCase() || '';\n}\n\nconst naturalBinarySort = (a, b) =>\n String(a).localeCompare(String(b), undefined, {\n numeric: true,\n sensitivity: 'base',\n });\n\n// Usar primero la selección que ya validó \"Preparar entrada app\".\n// Así el parser procesa exactamente los archivos recibidos una sola vez.\nlet bankKeys = Array.isArray(json.bank_files)\n ? json.bank_files\n .map((file) => String(file?.binary_key || ''))\n .filter((key) => key && binary[key])\n : [];\n\nif (bankKeys.length === 0) {\n const allBinaryKeys = Object.keys(binary);\n\n const numberedBankKeys = allBinaryKeys\n .filter((key) => /^bank_file_\\d+$/i.test(key))\n .sort(naturalBinarySort);\n\n const repeatedBankKeys = allBinaryKeys\n .filter((key) => /^bank_files(?:_?\\d+)?$/i.test(key))\n .sort(naturalBinarySort);\n\n bankKeys = numberedBankKeys.length\n ? numberedBankKeys\n : repeatedBankKeys;\n}\n\nbankKeys = Array.from(new Set(bankKeys)).sort(naturalBinarySort);\n\nconst allRows = [];\nconst fileSummaries = [];\n\nfor (const key of bankKeys) {\n const file = binary[key];\n const buffer = await this.helpers.getBinaryDataBuffer(0, key);\n let text = buffer.toString('latin1');\n\n // Si el CSV llegara en UTF-8, latin1 no rompe la estructura y la\n // normalización posterior elimina diferencias de acentos para el cruce.\n const lines = text\n .split(/\\r?\\n/)\n .map((line) => line.trim())\n .filter(Boolean);\n\n const shipmentNumber = extractShipmentNumber(lines, file.fileName);\n const planNumber = extractPlanNumber(lines, file.fileName);\n\n const markerIndex = lines.findIndex((line) =>\n normalize(line).includes('transacciones del envio')\n );\n\n const headerIndex = lines.findIndex((line, index) => {\n if (markerIndex >= 0 && index <= markerIndex) return false;\n const normalized = normalize(line);\n return normalized.includes('cuenta destino') && normalized.includes('monto');\n });\n\n if (headerIndex < 0) {\n fileSummaries.push({\n file_name: file.fileName,\n shipment_number: shipmentNumber,\n plan_number: planNumber,\n ok: false,\n rows_count: 0,\n total_amount: 0,\n error: 'No se encontró el encabezado de transacciones del plano bancario de El Salvador.',\n });\n continue;\n }\n\n const headers = parseCsvLine(lines[headerIndex]).map(clean);\n const idxCuenta = getColumnIndex(headers, ['Cuenta Destino']);\n const idxNombreArchivo = getColumnIndex(headers, ['Nombre en Archivo']);\n const idxHolder = getColumnIndex(headers, ['Nombre del Cuentahabiente']);\n const idxMonto = getColumnIndex(headers, ['Monto']);\n const idxFechaAplicacion = getColumnIndex(headers, ['Fecha/Hora de aplicación', 'Fecha/Hora de aplicacion']);\n const idxConcepto = getColumnIndex(headers, ['Concepto']);\n const idxEstado = getColumnIndex(headers, ['Estado']);\n const idxReferencia = getColumnIndex(headers, ['Referencia']);\n const idxEnvio = getColumnIndex(headers, ['Número de envío', 'Numero de envio']);\n const idxPlan = getColumnIndex(headers, ['Número de plan', 'Numero de plan']);\n\n const rowsFromFile = [];\n\n for (let i = headerIndex + 1; i < lines.length; i++) {\n const values = parseCsvLine(lines[i]);\n const rawAccount = idxCuenta >= 0 ? values[idxCuenta] : '';\n const rawReference = clean(idxReferencia >= 0 ? values[idxReferencia] : '');\n const account = normalizeAccount(rawAccount);\n const referenceDigits = accountFromReference(rawReference);\n const amount = roundMoney(parseMoney(idxMonto >= 0 ? values[idxMonto] : ''));\n\n if (amount <= 0) continue;\n\n const accountValid = isValidAccount(account);\n const referenceValid = isValidAccount(referenceDigits);\n const displayAccount = accountValid\n ? account\n : referenceValid\n ? referenceDigits\n : '';\n\n const rowShipment = clean(idxEnvio >= 0 ? values[idxEnvio] : '') || shipmentNumber;\n const rowPlan = clean(idxPlan >= 0 ? values[idxPlan] : '') || planNumber;\n\n const row = {\n source_file: file.fileName,\n row_number: i + 1,\n bank_row_key: `${file.fileName}|${i + 1}`,\n account: displayAccount,\n raw_account: account,\n account_is_valid: accountValid,\n used_reference_as_account: !accountValid && referenceValid,\n reference: rawReference,\n shipment_number: rowShipment,\n plan_number: rowPlan,\n bank_name_file: clean(idxNombreArchivo >= 0 ? values[idxNombreArchivo] : ''),\n bank_account_holder: clean(idxHolder >= 0 ? values[idxHolder] : ''),\n amount,\n currency: 'USD',\n application_date: clean(idxFechaAplicacion >= 0 ? values[idxFechaAplicacion] : ''),\n concept: clean(idxConcepto >= 0 ? values[idxConcepto] : ''),\n status: clean(idxEstado >= 0 ? values[idxEstado] : ''),\n };\n\n rowsFromFile.push(row);\n allRows.push(row);\n }\n\n fileSummaries.push({\n file_name: file.fileName,\n shipment_number: shipmentNumber,\n plan_number: planNumber,\n ok: true,\n rows_count: rowsFromFile.length,\n total_amount: roundMoney(rowsFromFile.reduce((sum, row) => sum + row.amount, 0)),\n error: null,\n });\n}\n\nconst groupedMap = new Map();\nfor (const row of allRows) {\n const key = row.account\n ? `ACCOUNT:${row.account}:USD`\n : `ROW:${row.bank_row_key}:USD`;\n\n const current = groupedMap.get(key) || {\n group_key: key,\n account: row.account,\n amount: 0,\n currency: 'USD',\n transactions_count: 0,\n bank_name_files: new Set(),\n bank_account_holders: new Set(),\n source_files: new Set(),\n shipment_numbers: new Set(),\n plan_numbers: new Set(),\n source_rows: [],\n };\n\n current.amount = roundMoney(current.amount + row.amount);\n current.transactions_count += 1;\n if (row.bank_name_file) current.bank_name_files.add(row.bank_name_file);\n if (row.bank_account_holder) current.bank_account_holders.add(row.bank_account_holder);\n if (row.source_file) current.source_files.add(row.source_file);\n if (row.shipment_number) current.shipment_numbers.add(row.shipment_number);\n if (row.plan_number) current.plan_numbers.add(row.plan_number);\n current.source_rows.push(row);\n groupedMap.set(key, current);\n}\n\nconst groupedByAccount = Array.from(groupedMap.values()).map((row) => ({\n ...row,\n bank_name_file: Array.from(row.bank_name_files)[0] || '',\n bank_account_holder: Array.from(row.bank_account_holders)[0] || '',\n bank_name_files: Array.from(row.bank_name_files),\n bank_account_holders: Array.from(row.bank_account_holders),\n source_files: Array.from(row.source_files),\n shipment_numbers: Array.from(row.shipment_numbers),\n plan_numbers: Array.from(row.plan_numbers),\n}));\n\nconst totalAmount = roundMoney(allRows.reduce((sum, row) => sum + row.amount, 0));\n\nreturn [{\n json: {\n ...json,\n stage: 'banco_sv_parseado',\n bank: {\n source: 'csv_banco_el_salvador_planes_4503_abg3',\n files_count: bankKeys.length,\n valid_files_count: fileSummaries.filter((file) => file.ok).length,\n rows_count: allRows.length,\n grouped_accounts_count: groupedByAccount.length,\n total_amount: totalAmount,\n totals_by_currency: { USD: totalAmount },\n file_summaries: fileSummaries,\n rows: allRows,\n grouped_by_account: groupedByAccount,\n name_differences: [],\n name_differences_count: 0,\n },\n },\n binary,\n}];\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + -992, + 4112 + ], + "id": "89eea942-c8da-4324-8682-8f4688ea6e5b", + "name": "Parsear CSV banco SV" + }, + { + "parameters": { + "jsCode": "const input = $input.first();\nconst base = input.json || {};\nconst binary = input.binary || {};\nconst configuredFiles = Array.isArray(base.payroll_files) ? base.payroll_files : [];\n\nfunction normalize(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nconst SHEETS = {\n general: [\n 'Nomina Whirpool',\n 'Asignaciones Whirlpool',\n 'Nomina KAD',\n 'Asignaciones KAD',\n 'KAE Jr. Whirlpool',\n 'Asignaciones KAE Jr. Whirlpool',\n 'Cobertura Temporal Whirlpool',\n 'Especialista Microsoft',\n 'Asignaciones Especialista Micro',\n 'Nomina BI Analitics',\n 'Asignaciones BI',\n 'Nomina GLM',\n 'Nomina Latam',\n 'Asignaciones GLM y LATAM ',\n 'Cobertura Temporal GLM',\n ],\n karla: [\n 'Nomina Coord. TradeMarketing WH',\n 'Asignaciones Coord. TradeMarket',\n ],\n nestle: [\n 'Impulsadoras Purina y Purina Ex',\n 'Purina Tradicional Y Grocery - ',\n 'Nesquad Promotores',\n 'Nesquad Perifonistas',\n 'Nesquad Mercaderistas',\n 'Supply Chain',\n 'Promotora Atado temporal (3 mes',\n 'Impulsadoras Asceda NIDO',\n 'Viaticos Impulsadoras Asceda NI',\n 'Cobertura Temporal Incapacidad ',\n ],\n motorola: [\n 'Motorola',\n 'B2B',\n 'Katherine Alexandra Garcia Herr',\n 'Temporales Motorola',\n 'Caso Kervin Rivera',\n ],\n};\n\nfunction fileKind(fileName) {\n const name = normalize(fileName);\n if (name.includes('nestle')) return 'nestle';\n if (name.includes('motorola')) return 'motorola';\n if (name.includes('karla') || name.includes('trade')) return 'karla';\n if (name.includes('general')) return 'general';\n return '';\n}\n\nconst outputs = [];\nconst unknownFiles = [];\n\nfor (const fileInfo of configuredFiles) {\n const key = String(fileInfo.binary_key || '');\n const file = binary[key];\n if (!key || !file) continue;\n\n const fileName = String(file.fileName || fileInfo.file_name || key);\n const kind = fileKind(fileName);\n const kindsToTry = kind ? [kind] : Object.keys(SHEETS);\n\n if (!kind) {\n unknownFiles.push(fileName);\n }\n\n for (const payrollGroup of kindsToTry) {\n for (const sheetName of SHEETS[payrollGroup]) {\n outputs.push({\n json: {\n source_file: fileName,\n source_binary_key: key,\n source_kind: 'quincenal',\n payroll_group: payrollGroup,\n sheet_name: sheetName,\n file_name_recognized: Boolean(kind),\n },\n binary: { data: file },\n });\n }\n }\n}\n\nif (!outputs.length) {\n throw new Error(\n 'No se pudieron preparar los archivos de nómina de El Salvador. ' +\n (unknownFiles.length\n ? `No se encontró ninguna hoja de nómina válida en: ${unknownFiles.join(', ')}.`\n : 'Carga archivos General, Karla Elias, Nestlé o Motorola del formato GLM SV.')\n );\n}\n\nreturn outputs;\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + -992, + 4432 + ], + "id": "7e6a209d-2e2a-456f-bc07-79de60fb2f0e", + "name": "Preparar archivos nómina SV" + }, + { + "parameters": { + "operation": "xlsx", + "options": { + "headerRow": true, + "sheetName": "={{ $json.sheet_name }}" + } + }, + "type": "n8n-nodes-base.extractFromFile", + "typeVersion": 1.1, + "position": [ + -752, + 4432 + ], + "id": "e6c04464-c3e6-4e6b-95f9-0b409f996356", + "name": "Extract - Archivo Nómina SV", + "retryOnFail": false, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "jsCode": "const items = $input.all();\nconst base = $('Preparar entrada app').first().json || {};\n\nfunction clean(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\u00A0/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalize(value) {\n return clean(value)\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction parseMoney(value) {\n if (typeof value === 'number') return Number.isFinite(value) ? value : 0;\n const cleaned = String(value ?? '')\n .replace(/USD/gi, '')\n .replace(/\\$/g, '')\n .replace(/,/g, '')\n .replace(/\\s+/g, '')\n .trim();\n const parsed = Number.parseFloat(cleaned);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction normalizeAccount(value) {\n if (typeof value === 'number' && Number.isFinite(value)) {\n return String(Math.round(value));\n }\n const raw = clean(value);\n if (!raw) return '';\n if (/^[+-]?(?:\\d+(?:\\.\\d+)?|\\.\\d+)[eE][+-]?\\d+$/.test(raw)) {\n const number = Number(raw);\n if (Number.isFinite(number)) return String(Math.round(number));\n }\n return raw.replace(/\\.0$/g, '').replace(/\\D/g, '').trim();\n}\n\nfunction getValue(row, possibleKeys) {\n for (const key of possibleKeys) {\n if (row[key] !== undefined && row[key] !== null && row[key] !== '') return row[key];\n }\n const keys = Object.keys(row || {});\n for (const expected of possibleKeys) {\n const normalizedExpected = normalize(expected);\n const matchedKey = keys.find((key) => normalize(key) === normalizedExpected);\n if (!matchedKey) continue;\n const value = row[matchedKey];\n if (value !== undefined && value !== null && value !== '') return value;\n }\n return '';\n}\n\nfunction validEmployeeName(value) {\n const name = clean(value);\n const normalized = normalize(name);\n if (!name || /^[\\d.,\\s-]+$/.test(name)) return false;\n const invalid = ['total','subtotal','total general','gran total','nombre','empleado','colaborador'];\n return !invalid.some((token) => normalized === token || normalized.startsWith(`${token} `));\n}\n\nfunction sourceMetadataFor(itemIndex) {\n try {\n return $('Preparar archivos nómina SV').itemMatching(itemIndex).json || {};\n } catch (error) {\n return {};\n }\n}\n\nconst rows = [];\nconst ignoredRows = [];\nconst sourceRowCounters = new Map();\nconst sourceFileSummaries = new Map();\n\nitems.forEach((item, index) => {\n const source = item.json || {};\n const linked = sourceMetadataFor(index);\n const sourceFile = clean(linked.source_file || '');\n const sourceSheet = clean(linked.sheet_name || '');\n const sourceGroup = clean(linked.payroll_group || '');\n const counterKey = `${sourceFile}|${sourceSheet}`;\n const dataIndex = (sourceRowCounters.get(counterKey) || 0) + 1;\n sourceRowCounters.set(counterKey, dataIndex);\n const rowNumber = dataIndex + 1;\n\n // Los items de error generados por una hoja opcional inexistente no contienen datos de empleado.\n const employeeName = clean(getValue(source, [\n 'NOMBRE', 'Nombre', 'Nombre del Empleado', 'NOMBRE DEL EMPLEADO',\n ]));\n const account = normalizeAccount(getValue(source, [\n 'CUENTA BANCO', 'Cuenta Banco', 'CUENTA BANCARIA', 'Cuenta Bancaria', 'CUENTA',\n ]));\n const amount = roundMoney(parseMoney(getValue(source, [\n 'NETO A PAGAR', 'Neto a Pagar', 'Total a Pagar', 'TOTAL A PAGAR', 'Total Neto',\n ])));\n\n const summary = sourceFileSummaries.get(counterKey) || {\n source_file: sourceFile,\n source_sheet: sourceSheet,\n payroll_group: sourceGroup,\n extracted_rows_count: 0,\n accepted_rows_count: 0,\n ignored_rows_count: 0,\n total_amount: 0,\n };\n summary.extracted_rows_count += 1;\n\n if (!validEmployeeName(employeeName) || amount <= 0 || amount > 500000) {\n summary.ignored_rows_count += 1;\n sourceFileSummaries.set(counterKey, summary);\n if (employeeName || amount) {\n ignoredRows.push({source_file:sourceFile,source_sheet:sourceSheet,row_number:rowNumber,employee_name:employeeName,account,payroll_amount:amount});\n }\n return;\n }\n\n const normalizedRow = {\n payroll_row_key: `SV_PAYROLL_${normalize(sourceFile)}_${normalize(sourceSheet)}_${rowNumber}_${index + 1}`,\n row_number: rowNumber,\n employee_name: employeeName,\n employee_number: '',\n account,\n payroll_account: account,\n payroll_amount: amount,\n currency: 'USD',\n source_file: sourceFile,\n source_kind: 'quincenal',\n source_sheet: sourceSheet,\n payroll_group: sourceGroup,\n is_main_payroll: true,\n raw: source,\n };\n\n rows.push(normalizedRow);\n summary.accepted_rows_count += 1;\n summary.total_amount = roundMoney(summary.total_amount + amount);\n sourceFileSummaries.set(counterKey, summary);\n});\n\nif (!rows.length) {\n throw new Error('El Salvador: no se encontró ninguna fila válida de nómina en los archivos cargados.');\n}\n\nconst totalAmount = roundMoney(rows.reduce((sum, row) => sum + row.payroll_amount, 0));\n\nreturn [{\n json: {\n ...base,\n stage: 'nomina_sv_normalizada',\n payroll: {\n source: 'planillas_el_salvador_multiarchivo',\n files_count: Number(base.summary?.payroll_files_count || 0),\n file_summaries: Array.from(sourceFileSummaries.values()),\n raw_rows_count: items.length,\n rows_count: rows.length,\n valid_rows_count: rows.length,\n base_rows_count: rows.length,\n supplement_rows_count: 0,\n attached_supplements_count: 0,\n unattached_supplements_count: 0,\n no_account_rows_count: rows.filter((row) => !row.account).length,\n ignored_rows_count: ignoredRows.length,\n base_total: totalAmount,\n supplements_total: 0,\n total_amount: totalAmount,\n totals_by_currency: { USD: totalAmount },\n rows,\n no_account_rows: rows.filter((row) => !row.account),\n grouped_by_account: [],\n potential_supplements: [],\n },\n debug_payroll: {\n file_summaries: Array.from(sourceFileSummaries.values()),\n ignored_rows_preview: ignoredRows.slice(0, 100),\n },\n },\n}];\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + -512, + 4432 + ], + "id": "c18596df-2f96-4a87-ba66-0af362d98a28", + "name": "Normalizar Nómina SV" + }, + { + "parameters": { + "mode": "combine", + "combineBy": "combineByPosition", + "options": {} + }, + "type": "n8n-nodes-base.merge", + "typeVersion": 3.2, + "position": [ + -256, + 4272 + ], + "id": "6b7d14ae-3178-46ca-a9bd-1cb1f7807eae", + "name": "Merge Banco + Nómina SV" + }, + { + "parameters": { + "method": "POST", + "url": "https://glm.bamboohr.com/api/v1/reports/custom?format=JSON&onlyCurrent=false", + "authentication": "genericCredentialType", + "genericAuthType": "httpBasicAuth", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "Accept", + "value": "application/json" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": { + "title": "Información de BambooHR - Cruce de Cuentas El Salvador", + "fields": [ + "firstName", + "middleName", + "lastName", + "displayName", + "department", + "division", + "location", + "customPosicion-Cliente", + "hireDate", + "originalHireDate", + "status", + "terminationDate", + "employeeNumber", + "country", + "workEmail", + "homeEmail", + "bestEmail" + ] + }, + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 300000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + -16, + 4112 + ], + "id": "540d1c1f-cb79-4d90-942a-89f8aab01d85", + "name": "HTTP - Empleados BambooHR SV", + "retryOnFail": true, + "maxTries": 3, + "waitBetweenTries": 3000, + "credentials": { + "httpBasicAuth": { + "id": "7VrpNZ2jBLmiJ35q", + "name": "BambooHR GLM Full Access" + } + } + }, + { + "parameters": { + "jsCode": "const inputItems = $input.all();\nconst base = $('Preparar entrada app').first().json || {};\nconst reconciliationData = $('Merge Banco + Nómina SV').first().json || {};\nconst metadata = base.metadata || {};\n\nconst IGNORED_NAME_TOKENS = new Set([\n 'de', 'del', 'la', 'las', 'los',\n 'y', 'e', 'el', 'da', 'do',\n 'dos', 'das', 'van', 'von',\n]);\n\nfunction clean(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\u00A0/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalize(value) {\n return clean(value)\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/['’`-]/g, ' ')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction unique(values) {\n const result = [];\n const seen = new Set();\n\n for (const value of values) {\n const cleaned = clean(value);\n\n if (!cleaned || seen.has(cleaned)) {\n continue;\n }\n\n seen.add(cleaned);\n result.push(cleaned);\n }\n\n return result;\n}\n\nfunction nameTokens(value) {\n return normalize(value)\n .split(' ')\n .filter(\n (token) =>\n token.length > 1 &&\n !IGNORED_NAME_TOKENS.has(token)\n );\n}\n\nfunction uniqueNameTokens(value) {\n return Array.from(\n new Set(nameTokens(value))\n );\n}\n\nfunction parseDate(value) {\n const raw = clean(value);\n if (!raw || raw === '0000-00-00') return null;\n\n const direct = raw.match(\n /^(\\d{4})-(\\d{2})-(\\d{2})/\n );\n\n if (direct) {\n return `${direct[1]}-${direct[2]}-${direct[3]}`;\n }\n\n const date = new Date(raw);\n if (Number.isNaN(date.getTime())) return null;\n\n return date.toISOString().slice(0, 10);\n}\n\nfunction parseBoolean(value) {\n if (typeof value === 'boolean') return value;\n\n return [\n 'true', 'yes', 'si', 'sí', '1', 'y',\n ].includes(normalize(value));\n}\n\nfunction isTargetCountry(employee) {\n const country = normalize(employee.country);\n const location = normalize(\n employee.location ||\n employee.jobInformationLocation ||\n employee.jobLocation\n );\n\n return (\n country === 'sv' ||\n country.includes('el salvador') ||\n country.includes('salvador') ||\n location === 'sv' ||\n location.includes('el salvador') ||\n location.includes('salvador')\n );\n}\n\nfunction overlapsPeriod(\n hireDate,\n terminationDate,\n periodStart,\n periodEnd\n) {\n if (!periodStart || !periodEnd) return false;\n\n const hiredBeforeEnd =\n !hireDate || hireDate <= periodEnd;\n\n const notTerminatedBeforeStart =\n !terminationDate ||\n terminationDate >= periodStart;\n\n return hiredBeforeEnd && notTerminatedBeforeStart;\n}\n\nfunction collectPageObjects(value, pages) {\n if (!value) return;\n\n if (Array.isArray(value)) {\n for (const entry of value) {\n collectPageObjects(entry, pages);\n }\n return;\n }\n\n if (typeof value !== 'object') return;\n\n if (value.body && typeof value.body === 'object') {\n collectPageObjects(value.body, pages);\n return;\n }\n\n if (\n Array.isArray(value.data) ||\n Array.isArray(value.employees)\n ) {\n pages.push(value);\n return;\n }\n\n if (value.json && typeof value.json === 'object') {\n collectPageObjects(value.json, pages);\n }\n}\n\nfunction profileContains(\n leftTokens,\n leftTokenSet,\n rightTokens,\n rightTokenSet\n) {\n if (\n leftTokens.length < 3 ||\n rightTokens.length < 3\n ) {\n return false;\n }\n\n const leftInsideRight =\n leftTokens.every((token) =>\n rightTokenSet.has(token)\n );\n\n if (leftInsideRight) return true;\n\n return rightTokens.every((token) =>\n leftTokenSet.has(token)\n );\n}\n\nfunction employeeKey(employee) {\n return (\n employee.bamboo_id ||\n employee.employee_number ||\n normalize(employee.full_name)\n );\n}\n\nconst pageObjects = [];\n\nfor (const item of inputItems) {\n collectPageObjects(item.json, pageObjects);\n}\n\nconst employeeMap = new Map();\nlet expectedTotal = 0;\nlet restrictedFields = 0;\n\nfor (const page of pageObjects) {\n const pageEmployees =\n Array.isArray(page.data)\n ? page.data\n : Array.isArray(page.employees)\n ? page.employees\n : [];\n\n const pageTotal = Number(\n page.meta?.total ||\n page.total ||\n 0\n );\n\n if (Number.isFinite(pageTotal)) {\n expectedTotal = Math.max(\n expectedTotal,\n pageTotal\n );\n }\n\n for (const employee of pageEmployees) {\n const key =\n clean(employee.employeeId || employee.id) ||\n clean(employee.employeeNumber) ||\n clean(employee.bestEmail).toLowerCase() ||\n [\n clean(employee.firstName),\n clean(employee.middleName),\n clean(employee.lastName),\n ].filter(Boolean).join('|').toLowerCase();\n\n if (!key) continue;\n\n employeeMap.set(key, employee);\n\n restrictedFields += Array.isArray(\n employee._restrictedFields\n )\n ? employee._restrictedFields.length\n : 0;\n }\n}\n\nconst rawEmployees = Array.from(\n employeeMap.values()\n);\n\nconst periodStart = clean(metadata.period_start);\nconst periodEnd = clean(metadata.period_end);\n\nconst targetEmployees = [];\nconst outsideRecords = [];\nlet normalizedEmployeesCount = 0;\n\nfor (const employee of rawEmployees) {\n const firstName = clean(employee.firstName);\n const middleName = clean(employee.middleName);\n const lastName = clean(employee.lastName);\n const preferredName = clean(\n employee.preferredName\n );\n\n const constructedFullName = [\n firstName,\n middleName,\n lastName,\n ].filter(Boolean).join(' ');\n\n const aliases = unique([\n employee.displayName,\n employee.fullName1,\n employee.fullName2,\n employee.fullName3,\n employee.fullName4,\n employee.fullName5,\n constructedFullName,\n [preferredName, lastName]\n .filter(Boolean)\n .join(' '),\n [firstName, lastName]\n .filter(Boolean)\n .join(' '),\n ]);\n\n const hireDate = parseDate(\n employee.hireDate ||\n employee.originalHireDate\n );\n\n const terminationDate = parseDate(\n employee.terminationDate\n );\n\n const status = clean(\n employee.status ||\n employee.employmentStatus ||\n employee.employmentHistoryStatus\n );\n\n const employeeNumber = clean(\n employee.employeeNumber ||\n employee.employee_number\n );\n\n const normalizedEmployee = {\n bamboo_id: clean(\n employee.employeeId ||\n employee.id\n ),\n employee_number: employeeNumber,\n first_name: firstName,\n middle_name: middleName,\n last_name: lastName,\n preferred_name: preferredName,\n full_name:\n clean(employee.displayName) ||\n clean(employee.fullName1) ||\n constructedFullName,\n aliases,\n normalized_aliases:\n aliases.map(normalize).filter(Boolean),\n status,\n hire_date: hireDate,\n termination_date: terminationDate,\n location: clean(\n employee.location ||\n employee.jobInformationLocation ||\n employee.jobLocation\n ),\n country: clean(employee.country),\n include_in_payroll:\n parseBoolean(employee.includeInPayroll),\n work_email:\n clean(employee.workEmail).toLowerCase(),\n home_email:\n clean(employee.homeEmail).toLowerCase(),\n best_email: clean(\n employee.bestEmail ||\n employee.workEmail ||\n employee.homeEmail\n ).toLowerCase(),\n exists_in_bamboo: true,\n overlaps_period: overlapsPeriod(\n hireDate,\n terminationDate,\n periodStart,\n periodEnd\n ),\n };\n\n normalizedEmployeesCount += 1;\n\n if (isTargetCountry(normalizedEmployee)) {\n targetEmployees.push({\n ...normalizedEmployee,\n validation_eligible: true,\n validation_scope:\n 'el_salvador_country_or_location',\n });\n continue;\n }\n\n const aliasProfiles = aliases\n .map((rawAlias) => {\n const tokens =\n uniqueNameTokens(rawAlias);\n\n return {\n raw: rawAlias,\n tokens,\n token_set: new Set(tokens),\n };\n })\n .filter(\n (profile) =>\n profile.tokens.length >= 3\n );\n\n const searchTokens = new Set();\n\n for (const profile of aliasProfiles) {\n for (const token of profile.tokens) {\n searchTokens.add(token);\n }\n }\n\n outsideRecords.push({\n employee: normalizedEmployee,\n alias_profiles: aliasProfiles,\n search_tokens: searchTokens,\n });\n}\n\nconst relevantNameMap = new Map();\n\nfunction addRelevantName(value) {\n const cleaned = clean(value);\n const normalized = normalize(cleaned);\n\n if (!normalized) return;\n\n const tokens = uniqueNameTokens(cleaned);\n const current =\n relevantNameMap.get(normalized);\n\n if (\n !current ||\n tokens.length > current.tokens.length\n ) {\n relevantNameMap.set(\n normalized,\n {\n raw: cleaned,\n tokens,\n token_set: new Set(tokens),\n }\n );\n }\n}\n\nfor (const row of reconciliationData.bank?.rows || []) {\n addRelevantName(row.bank_name_file);\n addRelevantName(row.bank_account_holder);\n addRelevantName(row.participant_name);\n}\n\nfor (\n const row of\n reconciliationData.bank?.grouped_by_account || []\n) {\n addRelevantName(row.bank_name_file);\n addRelevantName(row.bank_account_holder);\n\n for (const name of row.bank_name_files || []) {\n addRelevantName(name);\n }\n\n for (\n const name of\n row.bank_account_holders || []\n ) {\n addRelevantName(name);\n }\n}\n\nfor (const row of [\n ...(reconciliationData.payroll?.rows || []),\n ...(reconciliationData.payroll?.grouped_by_account || []),\n ...(reconciliationData.payroll?.no_account_rows || []),\n]) {\n addRelevantName(\n row.employee_name ||\n row.employee ||\n ''\n );\n}\n\n/*\n * Índice invertido para rescatar perfiles con país/localidad incorrectos.\n *\n * La versión anterior comparaba cada nombre relevante contra todos los\n * empleados fuera de El Salvador y todas sus variantes de nombre. Con casi\n * 10,000 perfiles, eso provocaba millones de normalizaciones y bloqueaba el\n * task runner. Aquí cada palabra apunta directamente a los pocos empleados\n * que la contienen; luego solo se revisan candidatos con al menos tres\n * palabras compartidas.\n */\nconst outsideTokenIndex = new Map();\n\nfor (\n let index = 0;\n index < outsideRecords.length;\n index++\n) {\n for (\n const token of\n outsideRecords[index].search_tokens\n ) {\n let bucket =\n outsideTokenIndex.get(token);\n\n if (!bucket) {\n bucket = [];\n outsideTokenIndex.set(\n token,\n bucket\n );\n }\n\n bucket.push(index);\n }\n}\n\nconst targetExactAliasSet = new Set();\n\nfor (const employee of targetEmployees) {\n for (\n const normalizedAlias of\n employee.normalized_aliases || []\n ) {\n if (normalizedAlias) {\n targetExactAliasSet.add(\n normalizedAlias\n );\n }\n }\n}\n\nlet contextualOutsideSkippedByTargetExact = 0;\nconst contextualOutsideMap = new Map();\n\nfor (\n const relevantProfile of\n relevantNameMap.values()\n) {\n if (relevantProfile.tokens.length < 3) {\n continue;\n }\n\n /*\n * Prioridad absoluta al país objetivo:\n *\n * Cuando el nombre completo recibido existe exactamente en El Salvador,\n * no se incorpora un perfil externo cuyo nombre más corto esté contenido\n * dentro de ese mismo texto. Esto evita conflictos entre dos personas\n * distintas, por ejemplo:\n *\n * - NOMBRE COMPLETO · El Salvador\n * - un perfil con nombre más corto · otro país\n *\n * El rescate fuera del país permanece activo cuando no existe una\n * coincidencia exacta entre los perfiles de El Salvador.\n */\n if (\n targetExactAliasSet.has(\n normalize(relevantProfile.raw)\n )\n ) {\n contextualOutsideSkippedByTargetExact += 1;\n continue;\n }\n\n const sharedTokenCounts = new Map();\n\n for (const token of relevantProfile.tokens) {\n for (\n const outsideIndex of\n outsideTokenIndex.get(token) || []\n ) {\n sharedTokenCounts.set(\n outsideIndex,\n (\n sharedTokenCounts.get(\n outsideIndex\n ) || 0\n ) + 1\n );\n }\n }\n\n const uniqueMatches = new Map();\n\n for (\n const [\n outsideIndex,\n sharedTokenCount,\n ] of sharedTokenCounts\n ) {\n if (sharedTokenCount < 3) {\n continue;\n }\n\n const record =\n outsideRecords[outsideIndex];\n\n const matches =\n record.alias_profiles.some(\n (aliasProfile) =>\n profileContains(\n relevantProfile.tokens,\n relevantProfile.token_set,\n aliasProfile.tokens,\n aliasProfile.token_set\n )\n );\n\n if (!matches) continue;\n\n const key =\n employeeKey(record.employee);\n\n if (key) {\n uniqueMatches.set(\n key,\n record.employee\n );\n }\n }\n\n /*\n * Solo se rescata un perfil fuera del país cuando un nombre informativo\n * identifica exactamente a una única persona. Así se corrigen localidades\n * erróneas sin convertir nombres comunes en falsos positivos.\n */\n if (uniqueMatches.size !== 1) {\n continue;\n }\n\n const employee =\n uniqueMatches.values().next().value;\n\n const key = employeeKey(employee);\n\n if (!key) continue;\n\n contextualOutsideMap.set(key, {\n ...employee,\n validation_eligible: true,\n validation_scope:\n 'outside_country_unique_informative_name',\n });\n}\n\nconst validationEmployeeMap = new Map();\n\nfor (const employee of [\n ...targetEmployees,\n ...contextualOutsideMap.values(),\n]) {\n const key = employeeKey(employee);\n\n if (key) {\n validationEmployeeMap.set(\n key,\n employee\n );\n }\n}\n\nconst validationEmployees =\n Array.from(\n validationEmployeeMap.values()\n );\n\n\n/*\n * Resolución previa de nombres contra BambooHR.\n *\n * Cada nombre distinto recibido desde banco y nómina se resuelve una sola\n * vez, usando índices de alias y palabras. El resultado queda disponible\n * para el nodo de cruce mediante resolved_name_matches.\n */\nconst CONFIRMED_BAMBOO_NAME_ALIASES = new Map([]);\n\nfunction relevantEntryRaw(entry) {\n if (typeof entry === 'string') return clean(entry);\n return clean(entry?.raw || entry?.name || '');\n}\n\nfunction bambooResolutionEmployeeKey(employee) {\n return (\n clean(employee.bamboo_id) ||\n clean(employee.employee_number) ||\n normalize(employee.full_name)\n );\n}\n\nfunction bambooResolutionEditDistance(left, right) {\n const a = String(left || '');\n const b = String(right || '');\n\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n\n let previous = Array.from(\n { length: b.length + 1 },\n (_, index) => index\n );\n\n for (let row = 1; row <= a.length; row++) {\n const current = [row];\n\n for (let column = 1; column <= b.length; column++) {\n const cost =\n a[row - 1] === b[column - 1]\n ? 0\n : 1;\n\n current[column] = Math.min(\n current[column - 1] + 1,\n previous[column] + 1,\n previous[column - 1] + cost\n );\n }\n\n previous = current;\n }\n\n return previous[b.length];\n}\nfunction bambooResolutionTokenSimilarity(left, right) {\n const a = String(left || '');\n const b = String(right || '');\n\n if (!a || !b) return 0;\n if (a === b) return 1;\n\n const minimumLength = Math.min(\n a.length,\n b.length\n );\n\n const maximumLength = Math.max(\n a.length,\n b.length\n );\n\n const distance =\n bambooResolutionEditDistance(a, b);\n\n if (\n minimumLength >= 4 &&\n distance <= 1\n ) {\n return Math.max(\n 0.90,\n 1 - distance / maximumLength\n );\n }\n\n if (\n minimumLength >= 6 &&\n distance <= 2\n ) {\n return Math.max(\n 0.82,\n 1 - distance / maximumLength\n );\n }\n\n const prefixOrSuffix =\n a.startsWith(b) ||\n b.startsWith(a) ||\n a.endsWith(b) ||\n b.endsWith(a);\n\n if (\n prefixOrSuffix &&\n minimumLength >= 4\n ) {\n return Math.max(\n 0.78,\n minimumLength / maximumLength\n );\n }\n\n return 0;\n}\n\nfunction bambooResolutionAliasDetails(\n queryName,\n aliasProfile\n) {\n const queryWords = Array.from(\n new Set(nameTokens(queryName))\n );\n\n const aliasWords =\n aliasProfile.words;\n\n if (\n queryWords.length < 2 ||\n aliasWords.length < 2\n ) {\n return null;\n }\n\n const aliasWordSet =\n aliasProfile.word_set;\n\n const queryWordSet =\n new Set(queryWords);\n\n const queryInsideAlias =\n queryWords.every((word) =>\n aliasWordSet.has(word)\n );\n\n const aliasInsideQuery =\n aliasWords.every((word) =>\n queryWordSet.has(word)\n );\n\n const usedAliasIndexes = new Set();\n const usedQueryIndexes = new Set();\n const similarities = new Array(\n queryWords.length\n ).fill(0);\n\n let exactMatches = 0;\n\n for (\n let queryIndex = 0;\n queryIndex < queryWords.length;\n queryIndex++\n ) {\n const aliasIndex =\n aliasWords.findIndex(\n (aliasWord, currentAliasIndex) =>\n !usedAliasIndexes.has(\n currentAliasIndex\n ) &&\n aliasWord ===\n queryWords[queryIndex]\n );\n\n if (aliasIndex < 0) continue;\n\n usedQueryIndexes.add(queryIndex);\n usedAliasIndexes.add(aliasIndex);\n similarities[queryIndex] = 1;\n exactMatches += 1;\n }\n\n const remainingQueryIndexes =\n queryWords\n .map((word, index) => ({\n word,\n index,\n }))\n .filter((entry) =>\n !usedQueryIndexes.has(entry.index)\n )\n .sort((left, right) =>\n right.word.length -\n left.word.length\n );\n\n for (const queryEntry of remainingQueryIndexes) {\n let bestSimilarity = 0;\n let bestAliasIndex = -1;\n\n for (\n let aliasIndex = 0;\n aliasIndex < aliasWords.length;\n aliasIndex++\n ) {\n if (\n usedAliasIndexes.has(\n aliasIndex\n )\n ) {\n continue;\n }\n\n const similarity =\n bambooResolutionTokenSimilarity(\n queryEntry.word,\n aliasWords[aliasIndex]\n );\n\n if (similarity > bestSimilarity) {\n bestSimilarity = similarity;\n bestAliasIndex = aliasIndex;\n }\n }\n\n if (\n bestAliasIndex >= 0 &&\n bestSimilarity >= 0.78\n ) {\n usedAliasIndexes.add(\n bestAliasIndex\n );\n similarities[queryEntry.index] =\n bestSimilarity;\n }\n }\n\n const matchedTokens =\n similarities.filter(\n (value) => value >= 0.78\n ).length;\n\n const queryCoverage =\n similarities.reduce(\n (sum, value) => sum + value,\n 0\n ) / queryWords.length;\n\n const aliasCoverage =\n matchedTokens /\n aliasWords.length;\n\n const lengthBalance =\n Math.min(\n queryWords.length,\n aliasWords.length\n ) /\n Math.max(\n queryWords.length,\n aliasWords.length\n );\n\n const score =\n queryCoverage * 0.65 +\n aliasCoverage * 0.20 +\n (\n exactMatches /\n queryWords.length\n ) * 0.10 +\n lengthBalance * 0.05;\n\n return {\n score,\n exact_matches: exactMatches,\n matched_tokens: matchedTokens,\n query_tokens:\n queryWords.length,\n alias_tokens:\n aliasWords.length,\n query_coverage:\n queryCoverage,\n alias_coverage:\n aliasCoverage,\n containment:\n queryInsideAlias ||\n aliasInsideQuery,\n };\n}\n\nconst bambooResolutionProfiles =\n validationEmployees.map(\n (employee, employeeIndex) => {\n const aliases = [];\n const seenAliases = new Set();\n\n for (\n const rawAlias of\n employee.aliases || []\n ) {\n const normalizedAlias =\n normalize(rawAlias);\n\n if (\n !normalizedAlias ||\n seenAliases.has(\n normalizedAlias\n )\n ) {\n continue;\n }\n\n seenAliases.add(\n normalizedAlias\n );\n\n const words = Array.from(\n new Set(nameTokens(rawAlias))\n );\n\n if (!words.length) continue;\n\n aliases.push({\n raw: clean(rawAlias),\n normalized:\n normalizedAlias,\n words,\n word_set:\n new Set(words),\n });\n }\n\n return {\n employee,\n employee_index:\n employeeIndex,\n employee_key:\n bambooResolutionEmployeeKey(\n employee\n ),\n aliases,\n };\n }\n );\n\nconst bambooResolutionExactAliasSets =\n new Map();\n\nconst bambooResolutionTokenSets =\n new Map();\n\nconst bambooResolutionTokenShapeSets =\n new Map();\n\nfor (\n let employeeIndex = 0;\n employeeIndex <\n bambooResolutionProfiles.length;\n employeeIndex++\n) {\n const profile =\n bambooResolutionProfiles[\n employeeIndex\n ];\n\n for (const alias of profile.aliases) {\n let exactSet =\n bambooResolutionExactAliasSets\n .get(alias.normalized);\n\n if (!exactSet) {\n exactSet = new Set();\n bambooResolutionExactAliasSets\n .set(\n alias.normalized,\n exactSet\n );\n }\n\n exactSet.add(employeeIndex);\n\n for (const token of alias.words) {\n if (token.length < 3) continue;\n\n let tokenSet =\n bambooResolutionTokenSets\n .get(token);\n\n if (!tokenSet) {\n tokenSet = new Set();\n bambooResolutionTokenSets\n .set(token, tokenSet);\n }\n\n tokenSet.add(employeeIndex);\n\n const tokenShape =\n `${token[0]}:${token.length}`;\n\n let shapeSet =\n bambooResolutionTokenShapeSets\n .get(tokenShape);\n\n if (!shapeSet) {\n shapeSet = new Set();\n bambooResolutionTokenShapeSets\n .set(\n tokenShape,\n shapeSet\n );\n }\n\n shapeSet.add(employeeIndex);\n }\n }\n}\n\nconst bambooResolutionExactAliasMap =\n new Map();\n\nfor (\n const [alias, indexes] of\n bambooResolutionExactAliasSets\n) {\n bambooResolutionExactAliasMap.set(\n alias,\n Array.from(indexes)\n );\n}\n\nfunction bambooResolutionDecision(\n queryName\n) {\n const rawQuery = clean(queryName);\n const normalizedQuery =\n normalize(rawQuery);\n\n const queryWords = Array.from(\n new Set(nameTokens(rawQuery))\n );\n\n if (\n !normalizedQuery ||\n queryWords.length < 2\n ) {\n return {\n found: false,\n matched_by: null,\n confidence: 0,\n reason:\n 'insufficient_name_tokens',\n };\n }\n\n const confirmedCanonical =\n CONFIRMED_BAMBOO_NAME_ALIASES\n .get(normalizedQuery);\n\n if (confirmedCanonical) {\n const confirmedIndexes =\n bambooResolutionExactAliasMap\n .get(confirmedCanonical) || [];\n\n if (confirmedIndexes.length === 1) {\n const employeeIndex =\n confirmedIndexes[0];\n\n return {\n found: true,\n matched_by:\n 'confirmed_alias_catalog',\n confidence: 1,\n employee_index:\n employeeIndex,\n employee_key:\n bambooResolutionProfiles[\n employeeIndex\n ].employee_key,\n query_name:\n rawQuery,\n bamboo_alias:\n bambooResolutionProfiles[\n employeeIndex\n ].aliases.find(\n (alias) =>\n alias.normalized ===\n confirmedCanonical\n )?.raw ||\n bambooResolutionProfiles[\n employeeIndex\n ].employee.full_name ||\n '',\n };\n }\n }\n\n const exactIndexes =\n bambooResolutionExactAliasMap\n .get(normalizedQuery) || [];\n\n if (exactIndexes.length === 1) {\n const employeeIndex =\n exactIndexes[0];\n\n return {\n found: true,\n matched_by:\n 'exact_precomputed_name',\n confidence: 1,\n employee_index:\n employeeIndex,\n employee_key:\n bambooResolutionProfiles[\n employeeIndex\n ].employee_key,\n query_name:\n rawQuery,\n bamboo_alias:\n bambooResolutionProfiles[\n employeeIndex\n ].aliases.find(\n (alias) =>\n alias.normalized ===\n normalizedQuery\n )?.raw ||\n bambooResolutionProfiles[\n employeeIndex\n ].employee.full_name ||\n '',\n };\n }\n\n const candidateVotes = new Map();\n\n function addCandidateVotes(\n indexes,\n weight\n ) {\n for (const employeeIndex of indexes) {\n candidateVotes.set(\n employeeIndex,\n (\n candidateVotes.get(\n employeeIndex\n ) || 0\n ) + weight\n );\n }\n }\n\n for (const token of queryWords) {\n addCandidateVotes(\n bambooResolutionTokenSets\n .get(token) || [],\n 4\n );\n\n for (\n let lengthOffset = -2;\n lengthOffset <= 2;\n lengthOffset++\n ) {\n const candidateLength =\n token.length + lengthOffset;\n\n if (candidateLength < 3) {\n continue;\n }\n\n addCandidateVotes(\n bambooResolutionTokenShapeSets\n .get(\n `${token[0]}:${candidateLength}`\n ) || [],\n 1\n );\n }\n }\n\n const candidateIndexes =\n Array.from(\n candidateVotes.entries()\n )\n .sort((left, right) =>\n right[1] - left[1]\n )\n .slice(0, 120)\n .map(([employeeIndex]) =>\n employeeIndex\n );\n\n const rankedCandidates = [];\n\n for (\n const employeeIndex of\n candidateIndexes\n ) {\n const profile =\n bambooResolutionProfiles[\n employeeIndex\n ];\n\n let bestDetails = null;\n let bestAlias = '';\n\n for (const alias of profile.aliases) {\n const details =\n bambooResolutionAliasDetails(\n rawQuery,\n alias\n );\n\n if (\n details &&\n (\n !bestDetails ||\n details.score >\n bestDetails.score\n )\n ) {\n bestDetails = details;\n bestAlias = alias.raw;\n }\n }\n\n if (!bestDetails) continue;\n\n rankedCandidates.push({\n employee_index:\n employeeIndex,\n employee_key:\n profile.employee_key,\n details:\n bestDetails,\n bamboo_alias:\n bestAlias,\n });\n }\n\n rankedCandidates.sort(\n (left, right) => {\n if (\n right.details.score !==\n left.details.score\n ) {\n return (\n right.details.score -\n left.details.score\n );\n }\n\n if (\n right.details.exact_matches !==\n left.details.exact_matches\n ) {\n return (\n right.details.exact_matches -\n left.details.exact_matches\n );\n }\n\n return (\n right.details.query_coverage -\n left.details.query_coverage\n );\n }\n );\n\n const best =\n rankedCandidates[0] || null;\n\n const second =\n rankedCandidates[1] || null;\n\n const margin =\n best\n ? best.details.score -\n (\n second?.details.score ||\n 0\n )\n : 0;\n\n const details =\n best?.details || null;\n\n const exactContainment =\n Boolean(\n details?.containment &&\n details.exact_matches >= 2\n );\n\n const strongTwoTokenName =\n Boolean(\n details &&\n details.query_tokens === 2 &&\n details.matched_tokens === 2 &&\n details.exact_matches >= 1 &&\n details.query_coverage >= 0.90 &&\n details.score >= 0.88\n );\n\n const strongLongName =\n Boolean(\n details &&\n details.query_tokens >= 3 &&\n details.matched_tokens >=\n Math.min(\n 3,\n details.query_tokens\n ) &&\n details.exact_matches >= 2 &&\n details.query_coverage >= 0.85 &&\n details.score >= 0.84\n );\n\n const acceptableMargin =\n !second ||\n margin >= (\n exactContainment\n ? 0.04\n : 0.06\n ) ||\n (\n details?.exact_matches || 0\n ) >\n (\n second?.details\n ?.exact_matches || 0\n );\n\n if (\n best &&\n acceptableMargin &&\n (\n exactContainment ||\n strongTwoTokenName ||\n strongLongName\n )\n ) {\n return {\n found: true,\n matched_by:\n exactContainment\n ? 'unique_precomputed_containment'\n : 'strong_precomputed_fuzzy_name',\n confidence:\n Math.min(\n 1,\n details.score\n ),\n employee_index:\n best.employee_index,\n employee_key:\n best.employee_key,\n query_name:\n rawQuery,\n bamboo_alias:\n best.bamboo_alias,\n margin,\n exact_matches:\n details.exact_matches,\n matched_tokens:\n details.matched_tokens,\n };\n }\n\n return {\n found: false,\n matched_by: null,\n confidence:\n details?.score || 0,\n reason:\n best\n ? (\n acceptableMargin\n ? 'insufficient_name_evidence'\n : 'ambiguous_name'\n )\n : 'no_candidate',\n best_candidate:\n best\n ? {\n employee_index:\n best.employee_index,\n employee_key:\n best.employee_key,\n bamboo_alias:\n best.bamboo_alias,\n score:\n best.details.score,\n }\n : null,\n second_candidate:\n second\n ? {\n employee_index:\n second.employee_index,\n employee_key:\n second.employee_key,\n bamboo_alias:\n second.bamboo_alias,\n score:\n second.details.score,\n }\n : null,\n };\n}\n\nconst resolvedNameMatches = {};\nlet resolvedNameMatchesFound = 0;\n\nfor (\n const [\n normalizedRelevantName,\n relevantEntry,\n ] of relevantNameMap\n) {\n const rawRelevantName =\n relevantEntryRaw(relevantEntry);\n\n const decision =\n bambooResolutionDecision(\n rawRelevantName\n );\n\n resolvedNameMatches[\n normalizedRelevantName\n ] = decision;\n\n if (decision.found) {\n resolvedNameMatchesFound += 1;\n }\n}\n\n\nconst fetchedEmployeesCount =\n rawEmployees.length;\n\nconst fetchComplete =\n expectedTotal > 0\n ? fetchedEmployeesCount >= expectedTotal\n : (\n pageObjects.length > 0 &&\n !pageObjects.some(\n (page) =>\n Boolean(\n page?._links?.next?.href\n )\n )\n );\n\nconst errors = [];\n\nif (!pageObjects.length) {\n errors.push(\n 'BambooHR no devolvió páginas de empleados.'\n );\n}\n\nif (!fetchedEmployeesCount) {\n errors.push(\n 'BambooHR no devolvió empleados.'\n );\n}\n\nif (\n expectedTotal > 0 &&\n fetchedEmployeesCount < expectedTotal\n) {\n errors.push(\n `La descarga de BambooHR quedó incompleta: ` +\n `${fetchedEmployeesCount} de ${expectedTotal} empleados.`\n );\n}\n\nif (!targetEmployees.length) {\n errors.push(\n 'No se encontraron empleados de El Salvador en BambooHR.'\n );\n}\n\nreturn [\n {\n json: {\n ...base,\n ok:\n Boolean(base.ok ?? true) &&\n errors.length === 0,\n stage:\n errors.length === 0\n ? 'bamboohr_sv_normalizado'\n : 'bamboohr_sv_incompleto',\n errors: [\n ...(Array.isArray(base.errors)\n ? base.errors\n : []),\n ...errors,\n ],\n bamboo: {\n source:\n 'bamboohr_custom_report_only_current_false',\n period_start: periodStart,\n period_end: periodEnd,\n pages_fetched: pageObjects.length,\n expected_total: expectedTotal,\n raw_employees_count:\n fetchedEmployeesCount,\n employees_count:\n normalizedEmployeesCount,\n el_salvador_count:\n targetEmployees.length,\n active_in_period_count:\n targetEmployees.filter(\n (employee) =>\n employee.overlaps_period\n ).length,\n active_status_count:\n targetEmployees.filter(\n (employee) =>\n normalize(employee.status) ===\n 'active'\n ).length,\n contextual_outside_country_count:\n contextualOutsideMap.size,\n contextual_outside_skipped_by_target_exact_count:\n contextualOutsideSkippedByTargetExact,\n validation_candidates_count:\n validationEmployees.length,\n resolved_name_matches:\n resolvedNameMatches,\n resolved_name_matches_count:\n Object.keys(\n resolvedNameMatches\n ).length,\n resolved_name_matches_found:\n resolvedNameMatchesFound,\n name_resolution_strategy:\n 'precomputed_indexed_fuzzy_matching_with_target_exact_precedence',\n fetch_complete: fetchComplete,\n validation_available:\n fetchComplete &&\n validationEmployees.length > 0,\n validation_rule:\n 'Target country/location first; outside-country contextual rescue only when no exact target alias exists',\n performance_strategy:\n 'precomputed_alias_tokens_and_inverted_index',\n employees:\n validationEmployees,\n restricted_fields:\n restrictedFields,\n },\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 224, + 4112 + ], + "id": "d530e790-06c0-42da-9f74-7cde8ab60b95", + "name": "Normalizar BambooHR SV" + }, + { + "parameters": { + "mode": "combine", + "combineBy": "combineByPosition", + "options": {} + }, + "type": "n8n-nodes-base.merge", + "typeVersion": 3.2, + "position": [ + 464, + 4272 + ], + "id": "c7e023eb-69c3-4548-ab0d-64c3d468685b", + "name": "Merge - Agregar BambooHR SV" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_bamboo_aliases_activos", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": { + "p_pais": "SV" + }, + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 704, + 4272 + ], + "id": "8cdcb9c8-eb95-43a5-85e7-105558f07356", + "name": "Obtener alias BambooHR Supabase", + "retryOnFail": true, + "maxTries": 2, + "waitBetweenTries": 1000, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "jsCode": "const data = $('Merge - Agregar BambooHR SV').first().json || {};\nconst aliasResponse = $input.first().json || {};\nconst validatedBambooAliases = Array.isArray(aliasResponse.aliases)\n ? aliasResponse.aliases\n : Array.isArray(aliasResponse)\n ? aliasResponse\n : [];\n\nfunction clean(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\u00A0/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nconst normalizedNameCache = new Map();\nconst nameWordsCache = new Map();\nconst nameMatchScoreCache = new Map();\n\nfunction normalizeName(value) {\n const raw = clean(value);\n if (normalizedNameCache.has(raw)) {\n return normalizedNameCache.get(raw);\n }\n\n const normalized = raw\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/['’`-]/g, ' ')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n\n normalizedNameCache.set(raw, normalized);\n return normalized;\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '').replace(/\\.0$/g, '').replace(/\\D/g, '').trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction moneyDiff(payroll, bank) {\n return roundMoney((Number(payroll) || 0) - (Number(bank) || 0));\n}\n\nfunction sameCent(a, b) {\n return Math.abs(moneyDiff(a, b)) < 0.005;\n}\n\nconst IGNORED_NAME_TOKENS = new Set([\n 'de', 'del', 'la', 'las', 'los', 'y', 'e', 'el',\n 'da', 'do', 'dos', 'das', 'van', 'von',\n]);\n\nfunction nameWords(value) {\n const normalized = normalizeName(value);\n if (nameWordsCache.has(normalized)) {\n return nameWordsCache.get(normalized);\n }\n\n const words = normalized\n .split(' ')\n .filter((word) => word.length > 1 && !IGNORED_NAME_TOKENS.has(word));\n\n nameWordsCache.set(normalized, words);\n return words;\n}\n\nfunction editDistance(a, b) {\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n let previous = Array.from({ length: b.length + 1 }, (_, index) => index);\n for (let i = 1; i <= a.length; i++) {\n const current = [i];\n for (let j = 1; j <= b.length; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n current[j] = Math.min(current[j - 1] + 1, previous[j] + 1, previous[j - 1] + cost);\n }\n previous = current;\n }\n return previous[b.length];\n}\n\nfunction tokenMatches(a, b) {\n if (a === b) return true;\n const minLength = Math.min(a.length, b.length);\n if (minLength >= 8 && editDistance(a, b) <= 2) return true;\n if (minLength >= 5 && editDistance(a, b) <= 1) return true;\n return false;\n}\n\nfunction samePersonName(a, b) {\n const normalizedA = normalizeName(a);\n const normalizedB = normalizeName(b);\n if (!normalizedA || !normalizedB) return false;\n if (normalizedA === normalizedB) return true;\n\n const wordsA = nameWords(a);\n const wordsB = nameWords(b);\n if (!wordsA.length || !wordsB.length) return false;\n\n const usedB = new Set();\n let matches = 0;\n for (const wordA of wordsA) {\n const matchIndex = wordsB.findIndex((wordB, index) =>\n !usedB.has(index) && tokenMatches(wordA, wordB)\n );\n if (matchIndex >= 0) {\n usedB.add(matchIndex);\n matches += 1;\n }\n }\n\n const smallerLength = Math.min(wordsA.length, wordsB.length);\n const ratio = matches / smallerLength;\n if (smallerLength <= 2) return matches === smallerLength && matches >= 2;\n return matches >= 2 && ratio >= 0.6;\n}\n\nfunction nameMatchScore(a, b) {\n const na = normalizeName(a);\n const nb = normalizeName(b);\n if (!na || !nb) return 0;\n\n const cacheKey = na <= nb ? `${na}\\u0000${nb}` : `${nb}\\u0000${na}`;\n if (nameMatchScoreCache.has(cacheKey)) {\n return nameMatchScoreCache.get(cacheKey);\n }\n\n if (na === nb) {\n nameMatchScoreCache.set(cacheKey, 1);\n return 1;\n }\n\n const wa = nameWords(a);\n const wb = nameWords(b);\n if (!samePersonName(a, b)) {\n nameMatchScoreCache.set(cacheKey, 0);\n return 0;\n }\n\n const setA = new Set(wa);\n const setB = new Set(wb);\n let exact = 0;\n for (const w of setA) if (setB.has(w)) exact += 1;\n const min = Math.max(1, Math.min(setA.size, setB.size));\n const score = Math.min(\n 0.99,\n 0.75 + (exact / min) * 0.20 + (wa.length === wb.length ? 0.04 : 0)\n );\n\n nameMatchScoreCache.set(cacheKey, score);\n return score;\n}\n\nfunction bankNames(row) {\n return [row.bank_name_file, row.bank_account_holder]\n .map(clean)\n .filter(Boolean);\n}\n\nfunction bestNameScore(payrollName, bankRow) {\n return Math.max(0, ...bankNames(bankRow).map((name) => nameMatchScore(payrollName, name)));\n}\n\nfunction bankDisplayName(row) {\n return clean(row.bank_name_file) || clean(row.bank_account_holder) || 'Pago bancario';\n}\n\nfunction bankRowKey(row, index) {\n return clean(row.bank_row_key) || `${clean(row.source_file)}|${row.row_number || index + 1}`;\n}\n\n\nconst metadata = data.metadata || {};\n\nfunction parseBankDate(value, sourceFile = '') {\n const raw = clean(value);\n let match = raw.match(/^(\\d{1,2})\\/(\\d{1,2})\\/(\\d{4})/);\n if (match) {\n return {\n year: Number(match[3]),\n month: Number(match[2]),\n day: Number(match[1]),\n };\n }\n\n match = raw.match(/^(\\d{4})-(\\d{1,2})-(\\d{1,2})/);\n if (match) {\n return {\n year: Number(match[1]),\n month: Number(match[2]),\n day: Number(match[3]),\n };\n }\n\n // Respaldo por el patrón habitual del nombre: _DDMMYY / _DDMMYYYY.\n const fileMatch = clean(sourceFile).match(/_(\\d{2})(\\d{2})(\\d{2}|\\d{4})(?:\\D|$)/);\n if (!fileMatch) return null;\n\n const yearPart = Number(fileMatch[3]);\n return {\n year: fileMatch[3].length === 2 ? 2000 + yearPart : yearPart,\n month: Number(fileMatch[2]),\n day: Number(fileMatch[1]),\n };\n}\n\nfunction selectedPeriodKind() {\n const type = clean(metadata.period_type).toLowerCase();\n if (type === 'quincena_15') return 'q15';\n if (type === 'quincena_30') return 'q30';\n return 'unknown';\n}\n\nfunction conceptPeriodHint(row) {\n const concept = normalizeName(row.concept || '');\n if (!concept) return 'unknown';\n\n if (\n /(?:^| )1(?:ra|er|era)? quincena(?: |$)/.test(concept) ||\n concept.includes('primera quincena') ||\n concept.includes('quincena 1ra') ||\n concept.includes('quincena 1')\n ) {\n return 'q15';\n }\n\n if (\n /(?:^| )2(?:da|do|nda)? quincena(?: |$)/.test(concept) ||\n concept.includes('segunda quincena') ||\n concept.includes('quincena 2da') ||\n concept.includes('quincena 2') ||\n concept.includes('fin de mes')\n ) {\n return 'q30';\n }\n\n return 'unknown';\n}\n\nfunction periodInfoForBankRow(row) {\n const selected = selectedPeriodKind();\n const rowDate = parseBankDate(row.application_date, row.source_file);\n const selectedYear = Number(metadata.year || 0);\n const selectedMonth = Number(metadata.month || 0);\n const hint = conceptPeriodHint(row);\n\n if (selected === 'unknown') {\n return { known: false, selected, inPeriod: true, affinity: 1, rowDate, hint };\n }\n\n if (hint !== 'unknown' && hint === selected) {\n return { known: true, selected, inPeriod: true, affinity: 4, rowDate, hint };\n }\n\n if (!rowDate || !selectedYear || !selectedMonth) {\n return { known: false, selected, inPeriod: true, affinity: 1, rowDate, hint };\n }\n\n if (rowDate.year !== selectedYear || rowDate.month !== selectedMonth) {\n return { known: true, selected, inPeriod: false, affinity: 0, rowDate, hint };\n }\n\n const inHalf = selected === 'q15'\n ? rowDate.day <= 15\n : rowDate.day >= 16;\n\n return {\n known: true,\n selected,\n inPeriod: inHalf,\n affinity: inHalf ? 3 : 0,\n rowDate,\n hint,\n };\n}\n\nfunction isSupplementPayroll(payroll) {\n return clean(payroll?.source_kind).toLowerCase() !== 'quincenal';\n}\n\nfunction bankCandidatePeriodScore(payroll, bank) {\n const info = periodInfoForBankRow(bank);\n if (!info.known || info.inPeriod) return info.affinity || 1;\n\n // Una extraordinaria/vacación/XIII Mes puede pagarse fuera de la mitad\n // estricta del mes. Se permite como respaldo, siempre detrás de cualquier\n // candidato del período seleccionado.\n if (isSupplementPayroll(payroll) && info.rowDate) {\n const selectedYear = Number(metadata.year || 0);\n const selectedMonth = Number(metadata.month || 0);\n if (info.rowDate.year === selectedYear && info.rowDate.month === selectedMonth) {\n return 0.5;\n }\n }\n\n return -1;\n}\n\nconst payrollRows = Array.isArray(data.payroll?.rows) ? data.payroll.rows : [];\nconst bankRows = Array.isArray(data.bank?.rows) ? data.bank.rows : [];\n\n// Guardia de seguridad: nunca generar un reporte \"válido\" cuando el request\n// traía archivos pero el parser no consiguió ninguna fila. Esto evita que\n// todas las personas de nómina aparezcan falsamente como discrepancias.\nif (payrollRows.length === 0) {\n throw new Error(\n 'El Salvador: no se pudo leer ninguna fila válida de nómina. ' +\n 'Revisa los archivos Excel de El Salvador y las hojas de nómina configuradas.'\n );\n}\n\nif (bankRows.length === 0) {\n const detectedFiles = Number(data.bank?.files_count || data.summary?.bank_files_count || 0);\n const invalidFiles = Array.isArray(data.bank?.file_summaries)\n ? data.bank.file_summaries.filter((file) => file?.ok === false)\n : [];\n\n throw new Error(\n 'El Salvador: no se pudo leer ninguna transacción bancaria. ' +\n `Archivos bancarios detectados: ${detectedFiles}. ` +\n (invalidFiles.length\n ? `Archivos con error de formato: ${invalidFiles.map((file) => file.file_name).join(', ')}.`\n : 'Verifica que los CSV sean los planos bancarios esperados.')\n );\n}\n\nconst bambooEmployees = Array.isArray(data.bamboo?.employees) ? data.bamboo.employees : [];\nconst resolvedNameMatches = data.bamboo?.resolved_name_matches || {};\nconst bambooValidationAvailable = data.bamboo?.fetch_complete === true &&\n data.bamboo?.validation_available === true && bambooEmployees.length > 0;\n\nconst bambooByEmployeeNumber = new Map();\nconst bambooById = new Map();\nconst bambooByExactName = new Map();\nfor (const employee of bambooEmployees) {\n const number = clean(employee.employee_number || employee.employeeNumber);\n const id = clean(employee.bamboo_id || employee.id);\n if (number) {\n const arr = bambooByEmployeeNumber.get(number) || [];\n arr.push(employee);\n bambooByEmployeeNumber.set(number, arr);\n }\n if (id) bambooById.set(id, employee);\n for (const alias of employee.aliases || [employee.full_name]) {\n const normalized = normalizeName(alias);\n if (!normalized) continue;\n const arr = bambooByExactName.get(normalized) || [];\n arr.push(employee);\n bambooByExactName.set(normalized, arr);\n }\n}\n\nfunction employeeKey(employee) {\n return clean(employee?.bamboo_id || employee?.id) ||\n clean(employee?.employee_number || employee?.employeeNumber) ||\n normalizeName(employee?.full_name || employee?.displayName);\n}\n\nfunction validatedAliasDecision(row) {\n if (!validatedBambooAliases.length) return null;\n const rowAccount = normalizeAccount(row.account);\n const names = bankNames(row).map(normalizeName).filter(Boolean);\n const candidates = validatedBambooAliases.filter((alias) => {\n const country = clean(alias.pais || alias.country).toUpperCase();\n if (country && country !== 'SV') return false;\n const source = normalizeName(alias.nombre_origen || alias.source_name || alias.alias || '');\n if (!source || !names.includes(source)) return false;\n const aliasAccount = normalizeAccount(alias.cuenta_bancaria || alias.cuenta_banco || alias.bank_account || '');\n return !aliasAccount || !rowAccount || aliasAccount === rowAccount;\n });\n if (candidates.length !== 1) return null;\n const alias = candidates[0];\n let employee = null;\n const employeeNumber = clean(alias.bamboo_employee_number || '');\n const bambooId = clean(alias.bamboo_employee_id || '');\n const bambooName = normalizeName(alias.bamboo_nombre || '');\n if (employeeNumber && (bambooByEmployeeNumber.get(employeeNumber) || []).length === 1) {\n employee = bambooByEmployeeNumber.get(employeeNumber)[0];\n } else if (bambooId && bambooById.has(bambooId)) {\n employee = bambooById.get(bambooId);\n } else if (bambooName && (bambooByExactName.get(bambooName) || []).length === 1) {\n employee = bambooByExactName.get(bambooName)[0];\n }\n if (!employee) return null;\n return {\n found: true,\n matched_by: 'validated_bamboo_alias',\n confidence: 1,\n employee,\n employee_key: employeeKey(employee),\n bamboo_alias: clean(alias.bamboo_nombre) || employee.full_name || '',\n };\n}\n\nfunction precomputedDecision(name) {\n const normalized = normalizeName(name);\n if (!normalized) return null;\n const decision = resolvedNameMatches[normalized];\n if (!decision || decision.found !== true) return null;\n const index = Number(decision.employee_index);\n const employee = Number.isInteger(index) && index >= 0 ? bambooEmployees[index] : null;\n const key = clean(decision.employee_key) || employeeKey(employee);\n if (!key) return null;\n return {\n found: true,\n matched_by: decision.matched_by || 'precomputed_name',\n confidence: Number(decision.confidence || 0),\n employee,\n employee_key: key,\n bamboo_alias: clean(decision.bamboo_alias) || employee?.full_name || '',\n query_name: clean(name),\n };\n}\n\nfunction resolveBamboo(row, linkedPayrollNames = []) {\n if (!bambooValidationAvailable) return { found: false, reason: 'validation_unavailable' };\n const validated = validatedAliasDecision(row);\n if (validated) return validated;\n\n const names = Array.from(new Set([...bankNames(row), ...linkedPayrollNames.map(clean)].filter(Boolean)));\n const decisions = names.map(precomputedDecision).filter(Boolean);\n if (!decisions.length) return { found: false, reason: 'no_confident_name_match' };\n\n const byKey = new Map();\n for (const d of decisions) {\n const current = byKey.get(d.employee_key);\n if (!current || d.confidence > current.confidence) byKey.set(d.employee_key, d);\n }\n const ranked = Array.from(byKey.values()).sort((a, b) => b.confidence - a.confidence);\n if (ranked.length === 1) return ranked[0];\n if ((ranked[0].confidence - ranked[1].confidence) >= 0.08) return ranked[0];\n return { found: false, reason: 'conflicting_precomputed_name_matches', candidates: ranked.slice(0, 3) };\n}\n\nconst usedBankKeys = new Set();\nconst matchedPayrollIndexes = new Set();\nconst matchedPairs = [];\nconst bankIndexByKey = new Map();\n\n// Índice por centavos para que la pasada principal no compare cada fila de\n// nómina contra todas las transacciones del banco. Esto preserva exactamente\n// la lógica original: la primera pasada ya exigía el mismo monto al centavo.\nconst bankIndexesByAmountCents = new Map();\n\nfunction amountCents(value) {\n return Math.round(roundMoney(value) * 100);\n}\n\nbankRows.forEach((row, index) => {\n const key = bankRowKey(row, index);\n bankIndexByKey.set(key, index);\n\n const cents = amountCents(row.amount);\n const bucket = bankIndexesByAmountCents.get(cents) || [];\n bucket.push(index);\n bankIndexesByAmountCents.set(cents, bucket);\n});\n\nfunction availableNameCandidates(payroll, requireExactAmount) {\n const candidates = [];\n\n // La pasada exacta solo inspecciona filas con el mismo importe. La segunda\n // pasada conserva el barrido completo y el mismo criterio de persona fuerte\n // + menor diferencia que tenía el workflow validado.\n const candidateIndexes = requireExactAmount\n ? (bankIndexesByAmountCents.get(amountCents(payroll.payroll_amount)) || [])\n : null;\n\n const inspectBank = (bankIndex) => {\n const bank = bankRows[bankIndex];\n if (!bank) return;\n\n const key = bankRowKey(bank, bankIndex);\n if (usedBankKeys.has(key)) return;\n\n if (requireExactAmount && !sameCent(payroll.payroll_amount, bank.amount)) return;\n\n const periodScore = bankCandidatePeriodScore(payroll, bank);\n if (periodScore < 0) return;\n\n const score = bestNameScore(payroll.employee_name, bank);\n if (score <= 0) return;\n\n candidates.push({\n bank,\n bankIndex,\n key,\n score,\n periodScore,\n amountDiff: Math.abs(moneyDiff(payroll.payroll_amount, bank.amount)),\n });\n };\n\n if (candidateIndexes) {\n for (const bankIndex of candidateIndexes) {\n inspectBank(bankIndex);\n }\n } else {\n for (let bankIndex = 0; bankIndex < bankRows.length; bankIndex++) {\n inspectBank(bankIndex);\n }\n }\n\n candidates.sort((a, b) => {\n if (b.periodScore !== a.periodScore) return b.periodScore - a.periodScore;\n if (b.score !== a.score) return b.score - a.score;\n if (a.amountDiff !== b.amountDiff) return a.amountDiff - b.amountDiff;\n return a.bankIndex - b.bankIndex;\n });\n\n return candidates;\n}\n\n// Primera pasada: persona + monto exacto. Es la evidencia más fuerte y evita\n// que extraordinarias/vacaciones de una misma persona se mezclen entre sí.\npayrollRows.forEach((payroll, payrollIndex) => {\n const candidates = availableNameCandidates(payroll, true);\n if (!candidates.length) return;\n const chosen = candidates[0];\n usedBankKeys.add(chosen.key);\n matchedPayrollIndexes.add(payrollIndex);\n matchedPairs.push({ payroll, payrollIndex, ...chosen });\n});\n\n// Segunda pasada: persona fuerte aunque el monto sea distinto. Solo se toma\n// una contraparte bancaria por fila de nómina y se prioriza la menor diferencia.\npayrollRows.forEach((payroll, payrollIndex) => {\n if (matchedPayrollIndexes.has(payrollIndex)) return;\n const candidates = availableNameCandidates(payroll, false);\n if (!candidates.length) return;\n const chosen = candidates[0];\n usedBankKeys.add(chosen.key);\n matchedPayrollIndexes.add(payrollIndex);\n matchedPairs.push({ payroll, payrollIndex, ...chosen });\n});\n\nconst linkedPayrollNamesByBankKey = new Map();\nfor (const pair of matchedPairs) {\n const current = linkedPayrollNamesByBankKey.get(pair.key) || [];\n current.push(pair.payroll.employee_name);\n linkedPayrollNamesByBankKey.set(pair.key, current);\n}\n\n// Filas bancarias del período de El Salvador.\n// Toda fila emparejada entra siempre. Para una fila no emparejada se usa la\n// fecha/concepto del plano para evitar arrastrar accidentalmente otra quincena.\nconst includedBankRows = [];\nconst excludedBankRows = [];\n\nfor (let index = 0; index < bankRows.length; index++) {\n const row = bankRows[index];\n const key = bankRowKey(row, index);\n\n if (usedBankKeys.has(key)) {\n includedBankRows.push({ row, key, index, inclusion: 'matched_payroll' });\n continue;\n }\n\n const periodInfo = periodInfoForBankRow(row);\n if (periodInfo.known && !periodInfo.inPeriod) {\n excludedBankRows.push({ row, key, reason: 'outside_selected_payroll_period' });\n continue;\n }\n\n includedBankRows.push({ row, key, index, inclusion: 'unmatched_current_period' });\n}\n\nconst includedBankKeySet = new Set(includedBankRows.map((entry) => entry.key));\n\nconst coreRows = [];\nfor (const pair of matchedPairs) {\n if (!includedBankKeySet.has(pair.key)) continue;\n const payrollAmount = roundMoney(pair.payroll.payroll_amount);\n const bankAmount = roundMoney(pair.bank.amount);\n const difference = moneyDiff(payrollAmount, bankAmount);\n const exact = sameCent(payrollAmount, bankAmount);\n coreRows.push({\n id: `sv_match_${pair.payrollIndex + 1}_${pair.bankIndex + 1}`,\n employee: pair.payroll.employee_name,\n employee_name: pair.payroll.employee_name,\n employeeNumber: pair.payroll.employee_number || '',\n employee_number: pair.payroll.employee_number || '',\n account: pair.bank.account || '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: pair.bank.account || '',\n bank_account: pair.bank.account || '',\n currency: 'USD',\n payrollAmount,\n payroll_amount: payrollAmount,\n bankAmount,\n bank_amount: bankAmount,\n difference,\n status: exact ? 'Coincide' : 'Pendiente revisión',\n category: exact ? 'coincidencia' : 'discrepancia',\n subcategory: exact ? 'persona_y_monto_exactos' : 'persona_coincide_monto_diferente',\n observation: exact\n ? 'Coincidencia de persona y monto.'\n : difference > 0\n ? 'Se pagó de menos.'\n : 'Se pagó de más.',\n source_kind: pair.payroll.source_kind || '',\n source_file: pair.bank.source_file || '',\n shipment_number: pair.bank.shipment_number || '',\n plan_number: pair.bank.plan_number || '',\n reference: pair.bank.reference || '',\n bank_name_file: pair.bank.bank_name_file || '',\n bank_account_holder: pair.bank.bank_account_holder || '',\n });\n}\n\nfor (let payrollIndex = 0; payrollIndex < payrollRows.length; payrollIndex++) {\n if (matchedPayrollIndexes.has(payrollIndex)) continue;\n const payroll = payrollRows[payrollIndex];\n const payrollAmount = roundMoney(payroll.payroll_amount);\n coreRows.push({\n id: `sv_payroll_without_bank_${payrollIndex + 1}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number || '',\n employee_number: payroll.employee_number || '',\n account: payroll.account || payroll.payroll_account || '',\n payrollAccount: payroll.account || payroll.payroll_account || '',\n payroll_account: payroll.account || payroll.payroll_account || '',\n bankAccount: '',\n bank_account: '',\n currency: 'USD',\n payrollAmount,\n payroll_amount: payrollAmount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payrollAmount,\n status: 'Pendiente revisión',\n category: 'discrepancia',\n subcategory: 'nomina_sin_pago_banco',\n observation: 'No aparece pagado en banco.',\n source_kind: payroll.source_kind || '',\n });\n}\n\n// Banco sin Nómina se agrupa para que repeticiones de la misma persona/cuenta\n// se presenten como un solo hallazgo, tal como en los reportes manuales.\nconst bankWithoutPayrollMap = new Map();\nfor (const entry of includedBankRows) {\n if (usedBankKeys.has(entry.key)) continue;\n const row = entry.row;\n const displayName = bankDisplayName(row);\n const groupingKey = `${normalizeAccount(row.account)}|${normalizeName(displayName)}|USD`;\n const current = bankWithoutPayrollMap.get(groupingKey) || {\n id: `sv_bank_without_payroll_${bankWithoutPayrollMap.size + 1}`,\n employee: displayName,\n employee_name: displayName,\n employeeNumber: '',\n employee_number: '',\n account: row.account || '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account || '',\n bank_account: row.account || '',\n currency: 'USD',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: 0,\n bank_amount: 0,\n difference: 0,\n status: 'Pendiente revisión',\n category: 'banco_sin_nomina',\n subcategory: 'pago_banco_sin_registro_nomina',\n observation: 'Pago bancario sin registro equivalente en las planillas cargadas.',\n bank_name_file: row.bank_name_file || '',\n bank_account_holder: row.bank_account_holder || '',\n source_files: new Set(),\n shipment_numbers: new Set(),\n plan_numbers: new Set(),\n source_rows: [],\n };\n current.bankAmount = roundMoney(current.bankAmount + Number(row.amount || 0));\n current.bank_amount = current.bankAmount;\n current.difference = roundMoney(0 - current.bankAmount);\n if (row.source_file) current.source_files.add(row.source_file);\n if (row.shipment_number) current.shipment_numbers.add(row.shipment_number);\n if (row.plan_number) current.plan_numbers.add(row.plan_number);\n current.source_rows.push(row);\n bankWithoutPayrollMap.set(groupingKey, current);\n}\n\nconst bankWithoutPayrollRows = Array.from(bankWithoutPayrollMap.values()).map((row) => ({\n ...row,\n source_files: Array.from(row.source_files),\n shipment_numbers: Array.from(row.shipment_numbers),\n plan_numbers: Array.from(row.plan_numbers),\n source_file: Array.from(row.source_files).join(' / '),\n shipment_number: Array.from(row.shipment_numbers).join(' / '),\n plan_number: Array.from(row.plan_numbers).join(' / '),\n}));\ncoreRows.push(...bankWithoutPayrollRows);\n\nconst nameDifferenceRows = [];\nfor (const entry of includedBankRows) {\n const row = entry.row;\n if (!clean(row.bank_name_file) || !clean(row.bank_account_holder)) continue;\n if (samePersonName(row.bank_name_file, row.bank_account_holder)) continue;\n nameDifferenceRows.push({\n id: `sv_bank_name_difference_${entry.index + 1}`,\n employee: row.bank_name_file,\n employee_name: row.bank_name_file,\n employeeNumber: '',\n employee_number: '',\n account: row.account || '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account || '',\n bank_account: row.account || '',\n currency: 'USD',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: roundMoney(row.amount),\n bank_amount: roundMoney(row.amount),\n difference: 0,\n status: 'Pendiente revisión',\n category: 'diferencia_nombre_banco',\n subcategory: 'nombre_archivo_vs_cuentahabiente',\n observation: `El Nombre en Archivo (${row.bank_name_file}) no coincide con el Nombre del Cuentahabiente (${row.bank_account_holder}).`,\n bank_name_file: row.bank_name_file,\n bank_account_holder: row.bank_account_holder,\n source_file: row.source_file || '',\n shipment_number: row.shipment_number || '',\n plan_number: row.plan_number || '',\n reference: row.reference || '',\n row_number: row.row_number || null,\n });\n}\n\nconst bankWithoutBambooMap = new Map();\nconst bambooMatchDetails = [];\nfor (const entry of includedBankRows) {\n const row = entry.row;\n const linkedNames = linkedPayrollNamesByBankKey.get(entry.key) || [];\n const decision = resolveBamboo(row, linkedNames);\n bambooMatchDetails.push({\n bank_row_key: entry.key,\n bank_name_file: row.bank_name_file || '',\n bank_account_holder: row.bank_account_holder || '',\n account: row.account || '',\n amount: row.amount || 0,\n linked_payroll_names: linkedNames,\n ...decision,\n });\n if (decision.found) continue;\n\n const displayName = bankDisplayName(row);\n const groupingKey = `${normalizeAccount(row.account)}|${normalizeName(displayName)}|USD`;\n const current = bankWithoutBambooMap.get(groupingKey) || {\n id: `sv_bank_without_bamboo_${bankWithoutBambooMap.size + 1}`,\n bank_name_file: row.bank_name_file || displayName,\n bank_account_holder: row.bank_account_holder || '',\n employee_name: row.bank_name_file || displayName,\n account: row.account || '',\n currency: 'USD',\n bank_amount: 0,\n amount: 0,\n status: 'Pendiente revisión',\n category: 'banco_sin_bamboo',\n shipment_numbers: new Set(),\n references: new Set(),\n source_files: new Set(),\n source_rows: [],\n };\n current.bank_amount = roundMoney(current.bank_amount + Number(row.amount || 0));\n current.amount = current.bank_amount;\n if (row.shipment_number) current.shipment_numbers.add(row.shipment_number);\n if (row.reference) current.references.add(row.reference);\n if (row.source_file) current.source_files.add(row.source_file);\n current.source_rows.push(row);\n bankWithoutBambooMap.set(groupingKey, current);\n}\n\nconst bankWithoutBamboo = Array.from(bankWithoutBambooMap.values()).map((row) => ({\n ...row,\n shipment_numbers: Array.from(row.shipment_numbers),\n shipment_number: Array.from(row.shipment_numbers).join(' / '),\n references: Array.from(row.references),\n source_files: Array.from(row.source_files),\n source_file: Array.from(row.source_files).join(' / '),\n difference: roundMoney(0 - row.bank_amount),\n}));\n\nfunction priority(row) {\n const category = clean(row.category).toLowerCase();\n if (category === 'discrepancia') return 2;\n if (category === 'banco_sin_nomina') return 3;\n if (category === 'diferencia_nombre_banco') return 5;\n if (category === 'coincidencia') return 99;\n return 50;\n}\n\nconst rowsFinales = [...coreRows, ...nameDifferenceRows].sort((a, b) => {\n const p = priority(a) - priority(b);\n if (p !== 0) return p;\n return clean(a.employee_name).localeCompare(clean(b.employee_name), 'es');\n});\n\nconst coincidencias = coreRows.filter((row) => row.category === 'coincidencia').length;\nconst discrepancias = coreRows.filter((row) => row.category === 'discrepancia').length;\nconst bancoSinNomina = bankWithoutPayrollRows.length;\nconst diferenciasNombreBanco = nameDifferenceRows.length;\nconst pendientes = discrepancias + bancoSinNomina + diferenciasNombreBanco;\nconst totalNomina = roundMoney(data.payroll?.total_amount || 0);\nconst totalBanco = roundMoney(includedBankRows.reduce((sum, entry) => sum + Number(entry.row.amount || 0), 0));\n\nconst bambooSummaryCompact = { ...(data.bamboo || {}) };\ndelete bambooSummaryCompact.employees;\n\nreturn [{\n json: {\n ok: true,\n stage: 'cruce_nomina_banco_el_salvador',\n errors: [],\n metadata: data.metadata || {},\n summary: {\n coincidencias,\n discrepancias,\n bancoSinNomina,\n bancoSinBamboo: bankWithoutBamboo.length,\n nominaSinCuenta: 0,\n diferenciasNombreBanco,\n posiblesCuentasMalDigitadas: 0,\n pendientes,\n filasNominaValidas: Number(data.payroll?.base_rows_count || data.payroll?.valid_rows_count || 0),\n filasNominaSinCuenta: 0,\n suplementosPotenciales: Number(data.payroll?.supplement_rows_count || 0),\n suplementosNominaAplicados: Number(data.payroll?.supplement_rows_count || 0),\n suplementosNominaNoAplicados: 0,\n suplementosNominaAdjuntados: Number(data.payroll?.supplement_rows_count || 0),\n suplementosNominaNoAdjuntados: Number(data.payroll?.unattached_supplements_count || 0),\n reconciliacionesExactasFinales: coincidencias,\n cuentasNominaAgrupadas: 0,\n transaccionesBanco: includedBankRows.length,\n cuentasBancoAgrupadas: new Set(includedBankRows.map((entry) => normalizeAccount(entry.row.account)).filter(Boolean)).size,\n empleadosBambooSV: Number(data.bamboo?.el_salvador_count || 0),\n empleadosBambooEnPeriodo: Number(data.bamboo?.active_in_period_count || 0),\n bambooPaginasDescargadas: Number(data.bamboo?.pages_fetched || 0),\n bambooEmpleadosEsperados: Number(data.bamboo?.expected_total || 0),\n bambooDescargaCompleta: Boolean(data.bamboo?.fetch_complete),\n bambooValidacionDisponible: bambooValidationAvailable,\n totalNominaBase: roundMoney(data.payroll?.base_total || 0),\n totalSuplementosAplicados: roundMoney(data.payroll?.supplements_total || 0),\n totalNomina,\n totalBanco,\n diferenciaTotal: moneyDiff(totalNomina, totalBanco),\n },\n rows: rowsFinales,\n bankWithoutBamboo,\n nameDifferences: nameDifferenceRows,\n bambooSummary: bambooSummaryCompact,\n reportUrl: null,\n debug: {\n matched_pairs_count: matchedPairs.length,\n included_bank_rows_count: includedBankRows.length,\n excluded_bank_rows_count: excludedBankRows.length,\n excluded_bank_rows_preview: excludedBankRows.slice(0, 100),\n validated_bamboo_aliases_loaded: validatedBambooAliases.length,\n bamboo_matches: bambooMatchDetails,\n bamboo_validation_available: bambooValidationAvailable,\n banco_sin_bamboo: bankWithoutBamboo,\n payroll_preview: payrollRows.slice(0, 20),\n bank_included_preview: includedBankRows.slice(0, 20).map((entry) => entry.row),\n },\n },\n}];\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 944, + 4272 + ], + "id": "ae87421a-c4d2-459a-992d-a861902dddfc", + "name": "Cruzar Nómina vs Banco" + }, + { + "parameters": { + "jsCode": "const data = $input.first().json || {};\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction readableCategory(value) {\n const map = {\n coincidencia: 'Coincidencia',\n discrepancia: 'Discrepancia',\n posible_cuenta_mal_digitada: 'Posible cuenta mal digitada',\n banco_sin_nomina: 'Banco sin nómina',\n banco_sin_bamboo: 'Banco sin Bamboo',\n nomina_sin_cuenta: 'Nómina sin cuenta',\n diferencia_nombre_banco: 'Diferencia nombre banco',\n };\n\n return map[value] || normalizeText(value).replace(/_/g, ' ');\n}\n\nfunction firstValue(value) {\n if (Array.isArray(value)) {\n return value.filter(Boolean).join(' / ');\n }\n\n return normalizeText(value);\n}\n\nfunction formatPeriodEnd(value) {\n const raw = normalizeText(value);\n\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(raw)) {\n return raw;\n }\n\n const [year, month, day] = raw.split('-');\n const monthNames = {\n '01': 'ene',\n '02': 'feb',\n '03': 'mar',\n '04': 'abr',\n '05': 'may',\n '06': 'jun',\n '07': 'jul',\n '08': 'ago',\n '09': 'sep',\n '10': 'oct',\n '11': 'nov',\n '12': 'dic',\n };\n\n return `${day}-${monthNames[month] || month}-${year}`;\n}\n\nfunction mainReportSense(row, difference) {\n const category = normalizeText(row.category).toLowerCase();\n const subcategory = normalizeText(row.subcategory).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') {\n return 'Revisar cuenta';\n }\n\n if (\n subcategory === 'nomina_con_cuenta_sin_pago_banco' ||\n (Number(row.bank_amount ?? row.bankAmount ?? 0) === 0 &&\n Number(row.payroll_amount ?? row.payrollAmount ?? 0) > 0)\n ) {\n return 'No aparece pagado en banco';\n }\n\n if (difference > 0) {\n return 'Se pagó de menos';\n }\n\n if (difference < 0) {\n return 'Se pagó de más';\n }\n\n return 'Revisar';\n}\n\nconst metadata = data.metadata || {};\nconst summary = data.summary || {};\nconst rows = Array.isArray(data.rows) ? data.rows : [];\nconst bankWithoutBamboo = Array.isArray(data.bankWithoutBamboo)\n ? data.bankWithoutBamboo\n : [];\n\nconst periodLabel =\n metadata.period_label ||\n `${metadata.year || ''}-${metadata.month || ''}-${metadata.period_type || ''}`;\n\nconst spreadsheetTitle =\n `Cruce de Cuentas GLM SV - ${periodLabel}`;\n\nconst mainReportSubtitle =\n `Diferencias de Monto Nómina vs. Banco · El Salvador · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst bancoSinBambooSubtitle =\n `Pagos en banco sin empleado identificado en BambooHR · El Salvador · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaSubtitle =\n `Cuenta Mal Digitada en Nómina · El Salvador · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaCases = rows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n);\n\nconst hasCuentaMalDigitada =\n cuentaMalDigitadaCases.length > 0;\n\nconst sheetIds = {\n nominaVsBanco: 101,\n bancoSinNomina: 102,\n bancoSinBamboo: 103,\n diferenciasNombreBanco: 104,\n cuentaMalDigitada: 105,\n resumen: 106,\n};\n\nconst sheetTitles = {\n nominaVsBanco: '01 Nómina vs Banco',\n bancoSinNomina: '02 Banco sin Nómina',\n bancoSinBamboo: '03 Banco sin Bamboo',\n diferenciasNombreBanco: '04 Diferencias nombre banco',\n cuentaMalDigitada: '05 Cuenta Mal Digitada',\n resumen: hasCuentaMalDigitada\n ? '06 Resumen'\n : '05 Resumen',\n};\n\nconst nominaVsBancoHeader = [\n '#',\n 'Empleado',\n 'Cuenta',\n 'Monto en Nómina (USD)',\n 'Monto en Banco (USD)',\n 'Diferencia (USD)',\n 'Sentido',\n 'Estado',\n 'Resolución',\n];\n\nconst mainReportRows = rows\n .filter((row) => row.category === 'discrepancia')\n .map((row, index) => {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n row.difference ?? (payrollAmount - bankAmount)\n );\n\n return [\n index + 1,\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.payroll_account ||\n row.payrollAccount ||\n row.account ||\n ''\n ),\n payrollAmount,\n bankAmount,\n difference,\n mainReportSense(row, difference),\n normalizeText(row.status || 'Riesgo').toUpperCase(),\n '',\n ];\n });\n\nconst nominaVsBancoValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n mainReportSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', '', ''],\n nominaVsBancoHeader,\n ...mainReportRows,\n];\n\nconst bancoSinNominaHeader = [\n 'Empleado Banco',\n 'Cuenta Banco',\n 'Moneda',\n 'Monto Banco',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst bancoSinNominaRows = rows\n .filter((row) => row.category === 'banco_sin_nomina')\n .map((row) => [\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'USD'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\nconst bancoSinBambooHeader = [\n '#',\n 'Nombre en banco',\n 'Nombre del cuentahabiente',\n 'Cuenta',\n 'Monto en banco (USD)',\n 'Número de envío',\n 'Estado',\n 'Resolución',\n];\n\nconst bancoSinBambooRows = bankWithoutBamboo.map((row, index) => [\n index + 1,\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n firstValue(row.shipment_numbers || row.shipment_number || ''),\n 'PENDIENTE REVISIÓN',\n '',\n]);\n\nconst bancoSinBambooValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n bancoSinBambooSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', ''],\n bancoSinBambooHeader,\n ...bancoSinBambooRows,\n];\n\nconst diferenciasNombreHeader = [\n 'Nombre en Archivo',\n 'Nombre del Cuentahabiente',\n 'Cuenta Destino',\n 'Moneda',\n 'Monto',\n 'Número de envío',\n 'Número de plan',\n 'Archivo',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst diferenciasNombreRows = rows\n .filter((row) => row.category === 'diferencia_nombre_banco')\n .map((row) => [\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'USD'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.shipment_number || ''),\n normalizeText(row.plan_number || ''),\n normalizeText(row.source_file || ''),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\n\nfunction accountValues(value) {\n const values = Array.isArray(value)\n ? value\n : String(value ?? '')\n .split(/\\s*(?:\\/|;|,|\\by\\b)\\s*/i);\n\n return values\n .map((item) =>\n String(item ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim()\n )\n .filter((item) =>\n item.length >= 7 &&\n !/^0+$/.test(item)\n );\n}\n\nfunction payrollAccountsForWrongAccount(row) {\n const candidates = [\n row.payroll_account,\n row.payrollAccount,\n ...(Array.isArray(row.source_rows)\n ? row.source_rows.flatMap((sourceRow) => [\n sourceRow.account,\n sourceRow.payroll_account,\n sourceRow.payrollAccount,\n ])\n : []),\n ];\n\n return Array.from(new Set(\n candidates.flatMap(accountValues)\n ));\n}\n\nfunction bankAccountForWrongAccount(row) {\n return firstValue(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n );\n}\n\nfunction wrongAccountTotalStatus(row) {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n payrollAmount - bankAmount\n );\n\n if (Math.abs(difference) <= 0.02) {\n return 'El total de nómina coincide con el total del banco.';\n }\n\n if (difference > 0) {\n return (\n `El total de nómina supera el total del banco por ` +\n `USD ${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n }\n\n return (\n `El total pagado por el banco supera el total de nómina por ` +\n `USD ${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n}\n\nfunction wrongAccountFinding(row) {\n const existing = normalizeText(row.observation || '');\n\n if (existing) {\n return existing;\n }\n\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n return (\n `El empleado presenta una posible inconsistencia entre ` +\n `la cuenta registrada en nómina ` +\n `(${payrollAccounts.join(' y ') || 'sin cuenta identificada'}) ` +\n `y la cuenta utilizada por el banco ` +\n `(${bankAccount || 'sin cuenta identificada'}).`\n );\n}\n\nconst cuentaMalDigitadaHeader = [\n '#',\n 'Campo',\n 'Detalle',\n 'Resolución',\n];\n\nconst cuentaMalDigitadaRows = [];\n\nfor (\n let index = 0;\n index < cuentaMalDigitadaCases.length;\n index++\n) {\n const row = cuentaMalDigitadaCases[index];\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n const fields = [\n [\n 'Empleado',\n normalizeText(\n row.employee_name ||\n row.employee ||\n ''\n ),\n ],\n [\n 'Cuentas registradas en las hojas de nómina',\n payrollAccounts.join(' y ') ||\n 'No se identificó una cuenta válida en la nómina.',\n ],\n [\n 'Cuenta utilizada por el banco',\n bankAccount ||\n 'No se identificó una cuenta válida en el banco.',\n ],\n [\n 'Estado del total',\n wrongAccountTotalStatus(row),\n ],\n [\n 'Hallazgo',\n wrongAccountFinding(row),\n ],\n [\n 'Clasificación',\n 'Posible cuenta mal digitada — revisar y unificar la cuenta en las hojas de nómina.',\n ],\n ];\n\n fields.forEach((field, fieldIndex) => {\n cuentaMalDigitadaRows.push([\n fieldIndex === 0 ? index + 1 : '',\n field[0],\n field[1],\n '',\n ]);\n });\n}\n\nconst cuentaMalDigitadaValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n ],\n [\n cuentaMalDigitadaSubtitle,\n '',\n '',\n '',\n ],\n ['', '', '', ''],\n cuentaMalDigitadaHeader,\n ...cuentaMalDigitadaRows,\n];\n\nconst resumenHeader = ['Indicador', 'Valor'];\nconst resumenRows = [\n ['Período', periodLabel],\n ['Coincidencias', Number(summary.coincidencias || 0)],\n ['Discrepancias', Number(summary.discrepancias || 0)],\n ['Banco sin nómina', Number(summary.bancoSinNomina || 0)],\n ['Banco sin Bamboo', Number(summary.bancoSinBamboo || 0)],\n ['Nómina sin cuenta', Number(summary.nominaSinCuenta || 0)],\n [\n 'Diferencias nombre banco',\n Number(summary.diferenciasNombreBanco || 0),\n ],\n [\n 'Posibles cuentas mal digitadas',\n Number(summary.posiblesCuentasMalDigitadas || 0),\n ],\n ['Pendientes cruce principal', Number(summary.pendientes || 0)],\n [\n 'Empleados BambooHR El Salvador',\n Number(summary.empleadosBambooSV || 0),\n ],\n [\n 'Empleados BambooHR en el período',\n Number(summary.empleadosBambooEnPeriodo || 0),\n ],\n ['Filas válidas de nómina', Number(summary.filasNominaValidas || 0)],\n [\n 'Suplementos adjuntados',\n Number(summary.suplementosNominaAdjuntados || 0),\n ],\n [\n 'Suplementos sin coincidencia',\n Number(summary.suplementosNominaNoAdjuntados || 0),\n ],\n ['Transacciones bancarias', Number(summary.transaccionesBanco || 0)],\n ['Total nómina', roundMoney(summary.totalNomina || 0)],\n ['Total banco', roundMoney(summary.totalBanco || 0)],\n ['Diferencia total', roundMoney(summary.diferenciaTotal || 0)],\n];\n\nfunction buildSheetValues(header, bodyRows) {\n return [header, ...bodyRows];\n}\n\nconst valueData = [\n {\n range: `'${sheetTitles.nominaVsBanco}'!A1:I`,\n values: nominaVsBancoValues,\n },\n {\n range: `'${sheetTitles.bancoSinNomina}'!A1:G`,\n values: buildSheetValues(\n bancoSinNominaHeader,\n bancoSinNominaRows\n ),\n },\n {\n range: `'${sheetTitles.bancoSinBamboo}'!A1:H`,\n values: bancoSinBambooValues,\n },\n {\n range: `'${sheetTitles.diferenciasNombreBanco}'!A1:K`,\n values: buildSheetValues(\n diferenciasNombreHeader,\n diferenciasNombreRows\n ),\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n range:\n `'${sheetTitles.cuentaMalDigitada}'!A1:D`,\n values: cuentaMalDigitadaValues,\n },\n ]\n : []),\n {\n range: `'${sheetTitles.resumen}'!A1:B`,\n values: buildSheetValues(\n resumenHeader,\n resumenRows\n ),\n },\n];\n\nfunction headerFormatRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex: startRowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction freezeHeaderRequest(sheetId, frozenRowCount = 1) {\n return {\n updateSheetProperties: {\n properties: {\n sheetId,\n gridProperties: {\n frozenRowCount,\n },\n },\n fields: 'gridProperties.frozenRowCount',\n },\n };\n}\n\nfunction autoResizeRequest(sheetId, endColumnIndex) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex: 0,\n endIndex: endColumnIndex,\n },\n },\n };\n}\n\nfunction moneyFormatRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n startRowIndex = 1,\n pattern = '#,##0.00',\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n repeatCell: {\n range,\n cell: {\n userEnteredFormat: {\n numberFormat: {\n type: 'NUMBER',\n pattern,\n },\n },\n },\n fields: 'userEnteredFormat.numberFormat',\n },\n };\n}\n\nfunction basicFilterRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0,\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n setBasicFilter: {\n filter: {\n range,\n },\n },\n };\n}\n\nfunction mergeRowRequest(\n sheetId,\n rowIndex,\n endColumnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction titleRowFormatRequest(\n sheetId,\n rowIndex,\n endColumnIndex,\n options = {}\n) {\n const {\n fontSize = 12,\n bold = true,\n italic = false,\n horizontalAlignment = 'LEFT',\n } = options;\n\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold,\n italic,\n fontSize,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction columnWidthRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction rowHeightRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction bodyAlignmentRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n horizontalAlignment,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction statusFormatRequest(sheetId, endRowIndex) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 7,\n endColumnIndex: 8,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.92,\n blue: 0.92,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.85,\n green: 0.08,\n blue: 0.08,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction bambooStatusFormatRequest(\n sheetId,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 6,\n endColumnIndex: 7,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.70,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\n\nfunction mergeVerticalRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n columnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: columnIndex,\n endColumnIndex: columnIndex + 1,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction rangeFormatRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n userEnteredFormat\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat,\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction conditionalDifferenceRequest(\n sheetId,\n formula,\n backgroundColor,\n textColor,\n ranges,\n index\n) {\n return {\n addConditionalFormatRule: {\n index,\n rule: {\n ranges,\n booleanRule: {\n condition: {\n type: 'CUSTOM_FORMULA',\n values: [\n {\n userEnteredValue: formula,\n },\n ],\n },\n format: {\n backgroundColor,\n textFormat: {\n bold: true,\n foregroundColor: textColor,\n },\n },\n },\n },\n },\n };\n}\n\nfunction borderRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n endColumnIndex\n) {\n const border = {\n style: 'SOLID',\n color: {\n red: 0.72,\n green: 0.82,\n blue: 0.76,\n },\n };\n\n return {\n updateBorders: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n },\n top: border,\n bottom: border,\n left: border,\n right: border,\n innerHorizontal: border,\n innerVertical: border,\n },\n };\n}\n\nconst mainReportEndRow = Math.max(\n 4 + mainReportRows.length,\n 4\n);\n\nconst bancoSinBambooEndRow = Math.max(\n 4 + bancoSinBambooRows.length,\n 4\n);\n\nconst mainConditionalRanges = mainReportRows.length\n ? [\n {\n sheetId: sheetIds.nominaVsBanco,\n startRowIndex: 4,\n endRowIndex: mainReportEndRow,\n startColumnIndex: 5,\n endColumnIndex: 7,\n },\n ]\n : [];\n\nconst mainDataFormatRequests = mainReportRows.length\n ? [\n moneyFormatRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 4,\n 'Q#,##0.00;[Red](Q#,##0.00)',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 'LEFT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 'RIGHT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 6,\n 8,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 'LEFT',\n mainReportEndRow\n ),\n statusFormatRequest(\n sheetIds.nominaVsBanco,\n mainReportEndRow\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5>0',\n {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n {\n red: 0.25,\n green: 0.25,\n blue: 0.25,\n },\n mainConditionalRanges,\n 0\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5<0',\n {\n red: 1,\n green: 0.89,\n blue: 0.89,\n },\n {\n red: 0.9,\n green: 0.05,\n blue: 0.05,\n },\n mainConditionalRanges,\n 1\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 28\n ),\n ]\n : [];\n\n\nconst cuentaMalDigitadaEndRow = Math.max(\n 4 + cuentaMalDigitadaRows.length,\n 4\n);\n\nconst cuentaMalDigitadaCaseRequests =\n hasCuentaMalDigitada\n ? cuentaMalDigitadaCases.flatMap(\n (_, caseIndex) => {\n const startRowIndex =\n 4 + caseIndex * 6;\n const endRowIndex =\n startRowIndex + 6;\n\n return [\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 0\n ),\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 3\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n startRowIndex + 4,\n 34\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 76\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 54\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 2,\n 3,\n {\n backgroundColor: {\n red: 0.97,\n green: 0.97,\n blue: 0.97,\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 2,\n 3,\n {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.55,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n ];\n }\n )\n : [];\n\nconst cuentaMalDigitadaFormatRequests =\n hasCuentaMalDigitada\n ? [\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4\n ),\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.cuentaMalDigitada,\n 4\n ),\n borderRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n cuentaMalDigitadaEndRow,\n 4\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 40\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 0,\n 1,\n {\n backgroundColor: {\n red: 0.91,\n green: 0.95,\n blue: 0.99,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 1,\n 2,\n {\n backgroundColor: {\n red: 0.93,\n green: 0.97,\n blue: 0.90,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 2,\n 3,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 3,\n 4,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 285\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 520\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 260\n ),\n ...cuentaMalDigitadaCaseRequests,\n ]\n : [];\n\n\nfunction wrapRangeRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction autoResizeRowsRequest(\n sheetId,\n startIndex,\n endIndex\n) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n },\n };\n}\n\nconst formatRequests = [\n mergeRowRequest(sheetIds.nominaVsBanco, 0, 9),\n mergeRowRequest(sheetIds.nominaVsBanco, 1, 9),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 0,\n 9,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 1,\n 9,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.nominaVsBanco,\n 4\n ),\n basicFilterRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3,\n mainReportEndRow\n ),\n borderRequest(\n sheetIds.nominaVsBanco,\n 3,\n mainReportEndRow,\n 9\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 3,\n 4,\n 42\n ),\n ...mainDataFormatRequests,\n\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 260\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 155\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 110\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 260\n ),\n\n headerFormatRequest(sheetIds.bancoSinNomina, 7),\n freezeHeaderRequest(sheetIds.bancoSinNomina),\n autoResizeRequest(sheetIds.bancoSinNomina, 7),\n moneyFormatRequest(sheetIds.bancoSinNomina, 3, 4),\n basicFilterRequest(sheetIds.bancoSinNomina, 7),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 260\n ),\n\n mergeRowRequest(sheetIds.bancoSinBamboo, 0, 8),\n mergeRowRequest(sheetIds.bancoSinBamboo, 1, 8),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 8,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 8,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.bancoSinBamboo,\n 4\n ),\n basicFilterRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3,\n bancoSinBambooEndRow\n ),\n borderRequest(\n sheetIds.bancoSinBamboo,\n 3,\n bancoSinBambooEndRow,\n 8\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 42\n ),\n moneyFormatRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 4,\n 'Q#,##0.00',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 3,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 'RIGHT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 7,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bambooStatusFormatRequest(\n sheetIds.bancoSinBamboo,\n bancoSinBambooEndRow\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 220\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 270\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 135\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 130\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 110\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 260\n ),\n\n headerFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n freezeHeaderRequest(\n sheetIds.diferenciasNombreBanco\n ),\n autoResizeRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n moneyFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5\n ),\n basicFilterRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 260\n ),\n\n ...cuentaMalDigitadaFormatRequests,\n\n headerFormatRequest(sheetIds.resumen, 2),\n freezeHeaderRequest(sheetIds.resumen),\n autoResizeRequest(sheetIds.resumen, 2),\n moneyFormatRequest(sheetIds.resumen, 1, 2),\n];\n\n\nconst bancoSinNominaEndRow =\n 1 + bancoSinNominaRows.length;\n\nconst diferenciasNombreEndRow =\n 1 + diferenciasNombreRows.length;\n\nconst resumenReadabilityEndRow =\n 1 + resumenRows.length;\n\n/*\n * Ajuste final de legibilidad.\n *\n * Se ejecuta al final para que los anchos definitivos ya estén aplicados\n * cuando Google Sheets calcule automáticamente la altura de cada fila.\n * Así, cualquier texto largo queda envuelto y visible sin que el usuario\n * tenga que expandir columnas o filas manualmente.\n */\nformatRequests.push(\n // 01 Nómina vs Banco\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 150\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 145\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 220\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 140\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 320\n ),\n ...(mainReportRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 0,\n 9\n ),\n autoResizeRowsRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow\n ),\n ]\n : []),\n\n // 02 Banco sin Nómina\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1,\n 320\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 1,\n 2,\n 165\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 2,\n 3,\n 95\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 3,\n 4,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 4,\n 5,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 5,\n 6,\n 560\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1\n ),\n ...(bancoSinNominaRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow,\n 0,\n 7\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow\n ),\n ]\n : []),\n\n // 03 Banco sin Bamboo\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 330\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 145\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 320\n ),\n ...(bancoSinBambooRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow,\n 0,\n 8\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow\n ),\n ]\n : []),\n\n // 04 Diferencias nombre banco\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1,\n 300\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n 2,\n 330\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 2,\n 3,\n 155\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 3,\n 4,\n 95\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5,\n 140\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 5,\n 7,\n 150\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 7,\n 8,\n 260\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 8,\n 9,\n 170\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 9,\n 10,\n 650\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1\n ),\n ...(diferenciasNombreRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow,\n 0,\n 11\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow\n ),\n ]\n : []),\n\n // 05 Cuenta Mal Digitada\n ...(hasCuentaMalDigitada\n ? [\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 600\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 320\n ),\n ]\n : []),\n\n // Resumen\n columnWidthRequest(\n sheetIds.resumen,\n 0,\n 1,\n 380\n ),\n columnWidthRequest(\n sheetIds.resumen,\n 1,\n 2,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 0,\n 1\n ),\n ...(resumenRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow,\n 0,\n 2\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow\n ),\n ]\n : [])\n);\n\n\n\n/*\n * Protección de integridad del reporte.\n *\n * La hoja completa queda protegida para impedir que los usuarios con acceso\n * al reporte modifiquen datos calculados, nombres, cuentas, montos, estados,\n * observaciones o cualquier otro resultado del cruce.\n *\n * Únicamente las celdas de datos de la columna \"Resolución\" quedan fuera de\n * la protección para que puedan completarse después de recibir el reporte.\n * Los encabezados y las filas fuera de la tabla permanecen protegidos.\n *\n * El propietario de la hoja conserva siempre el control. Además, el usuario\n * administrativo iaracena@gomezleemarketing.com queda registrado como editor explícito del\n * rango protegido para mantenimiento de IT.\n */\nfunction protectedSheetRequest(\n sheetId,\n description,\n resolutionColumnIndex = null,\n resolutionStartRowIndex = null,\n resolutionRowsCount = 0\n) {\n const protectedRange = {\n range: {\n sheetId,\n },\n description,\n warningOnly: false,\n editors: {\n users: [\n 'iaracena@gomezleemarketing.com',\n ],\n domainUsersCanEdit: false,\n },\n };\n\n if (\n Number.isInteger(resolutionColumnIndex) &&\n Number.isInteger(resolutionStartRowIndex) &&\n Number(resolutionRowsCount) > 0\n ) {\n protectedRange.unprotectedRanges = [\n {\n sheetId,\n startRowIndex:\n resolutionStartRowIndex,\n endRowIndex:\n resolutionStartRowIndex +\n Number(resolutionRowsCount),\n startColumnIndex:\n resolutionColumnIndex,\n endColumnIndex:\n resolutionColumnIndex + 1,\n },\n ];\n }\n\n return {\n addProtectedRange: {\n protectedRange,\n },\n };\n}\n\n\nfunction protectedResolutionRequest(\n sheetId,\n resolutionColumnIndex,\n resolutionStartRowIndex,\n resolutionRowsCount\n) {\n if (\n !Number.isInteger(resolutionColumnIndex) ||\n !Number.isInteger(resolutionStartRowIndex) ||\n Number(resolutionRowsCount) <= 0\n ) {\n return null;\n }\n\n return {\n addProtectedRange: {\n protectedRange: {\n range: {\n sheetId,\n startRowIndex:\n resolutionStartRowIndex,\n endRowIndex:\n resolutionStartRowIndex +\n Number(resolutionRowsCount),\n startColumnIndex:\n resolutionColumnIndex,\n endColumnIndex:\n resolutionColumnIndex + 1,\n },\n description:\n 'Protección GLM — Resolución. Solo Viviana Páramo y Liliana Benítez pueden editar.',\n warningOnly: false,\n editors: {\n users: [\n 'vparamo@gomezleemarketing.com',\n 'adminregional@gomezleemarketing.com',\n ],\n domainUsersCanEdit: false,\n },\n },\n },\n };\n}\n\nfunction addResolutionProtection(\n sheetId,\n resolutionColumnIndex,\n resolutionStartRowIndex,\n resolutionRowsCount\n) {\n const request =\n protectedResolutionRequest(\n sheetId,\n resolutionColumnIndex,\n resolutionStartRowIndex,\n resolutionRowsCount\n );\n\n if (request) {\n formatRequests.push(request);\n }\n}\n\n\nformatRequests.push(\n protectedSheetRequest(\n sheetIds.nominaVsBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 8,\n 4,\n mainReportRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinNomina,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 6,\n 1,\n bancoSinNominaRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinBamboo,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 7,\n 4,\n bancoSinBambooRows.length\n ),\n protectedSheetRequest(\n sheetIds.diferenciasNombreBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 10,\n 1,\n diferenciasNombreRows.length\n ),\n ...(hasCuentaMalDigitada\n ? [\n protectedSheetRequest(\n sheetIds.cuentaMalDigitada,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 3,\n 4,\n cuentaMalDigitadaRows.length\n ),\n ]\n : []),\n protectedSheetRequest(\n sheetIds.resumen,\n 'Protección GLM — hoja de resumen de solo lectura.'\n )\n);\n\n\naddResolutionProtection(\n sheetIds.nominaVsBanco,\n 8,\n 4,\n mainReportRows.length\n);\naddResolutionProtection(\n sheetIds.bancoSinNomina,\n 6,\n 1,\n bancoSinNominaRows.length\n);\naddResolutionProtection(\n sheetIds.bancoSinBamboo,\n 7,\n 4,\n bancoSinBambooRows.length\n);\naddResolutionProtection(\n sheetIds.diferenciasNombreBanco,\n 10,\n 1,\n diferenciasNombreRows.length\n);\nif (hasCuentaMalDigitada) {\n addResolutionProtection(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n cuentaMalDigitadaRows.length\n );\n}\n\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'preparar_google_sheet',\n metadata,\n summary,\n spreadsheetTitle,\n sheetIds,\n sheetTitles,\n createSpreadsheetBody: {\n properties: {\n title: spreadsheetTitle,\n },\n sheets: [\n {\n properties: {\n sheetId: sheetIds.nominaVsBanco,\n title: sheetTitles.nominaVsBanco,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinNomina,\n title: sheetTitles.bancoSinNomina,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinBamboo,\n title: sheetTitles.bancoSinBamboo,\n },\n },\n {\n properties: {\n sheetId:\n sheetIds.diferenciasNombreBanco,\n title:\n sheetTitles.diferenciasNombreBanco,\n },\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n properties: {\n sheetId:\n sheetIds.cuentaMalDigitada,\n title:\n sheetTitles.cuentaMalDigitada,\n },\n },\n ]\n : []),\n {\n properties: {\n sheetId: sheetIds.resumen,\n title: sheetTitles.resumen,\n },\n },\n ],\n },\n valueBatchBody: {\n // RAW conserva los números de cuenta como texto exacto (incluidos\n // ceros iniciales) y mantiene los montos numéricos porque ya se\n // envían como números en el payload.\n valueInputOption: 'RAW',\n data: valueData,\n },\n formatBatchBody: {\n requests: formatRequests,\n },\n originalResponse: data,\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 1184, + 4272 + ], + "id": "c07a8d74-203f-4ad6-a0e4-2c279eb351d3", + "name": "Preparar Google Sheet" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_get_reporte_periodo", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ { p_country: $('Preparar Google Sheet').first().json.metadata.country || 'SV', p_year: Number($('Preparar Google Sheet').first().json.metadata.year || 0), p_month: Number($('Preparar Google Sheet').first().json.metadata.month || 0), p_period_type: $('Preparar Google Sheet').first().json.metadata.period_type || '' } }}", + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 1424, + 4272 + ], + "id": "ee1516be-ee33-4552-aa11-981a90d5947f", + "name": "Buscar reporte existente Supabase" + }, + { + "parameters": { + "method": "POST", + "url": "={{ (() => { const lookup = $('Buscar reporte existente Supabase').first().json || {}; const report = lookup.report || {}; const id = String(report.spreadsheet_id || '').trim(); return (lookup.found === true && id) ? 'https://sheets.googleapis.com/v4/spreadsheets/' + id + ':batchUpdate' : 'https://sheets.googleapis.com/v4/spreadsheets'; })() }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{\n(() => {\n const prepared = $('Preparar Google Sheet').first().json || {};\n const lookup = $('Buscar reporte existente Supabase').first().json || {};\n const report = lookup.report || {};\n const existingId = String(report.spreadsheet_id || '').trim();\n\n if (lookup.found === true && existingId) {\n return {\n requests: [\n {\n updateSpreadsheetProperties: {\n properties: {\n title: prepared.spreadsheetTitle || prepared.createSpreadsheetBody?.properties?.title || 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n ],\n };\n }\n\n const createBody = prepared.createSpreadsheetBody || {};\n\n if (!Array.isArray(createBody.sheets) || createBody.sheets.length === 0) {\n throw new Error('Preparar Google Sheet no devolvió las hojas que deben crearse.');\n }\n\n return {\n properties: {\n ...(createBody.properties || {}),\n timeZone: 'America/El Salvador',\n },\n sheets: createBody.sheets.map((sheet) => ({\n properties: {\n ...(sheet.properties || {}),\n gridProperties: {\n ...((sheet.properties || {}).gridProperties || {}),\n frozenRowCount: 1,\n },\n },\n })),\n };\n})()\n}}", + "options": {} + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 1664, + 4272 + ], + "id": "f6958644-1123-4923-a6a5-1ba20411d377", + "name": "Crear Google Sheet", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "eHseMeH39kRcXgOF", + "name": "Google account 2" + } + } + }, + { + "parameters": { + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + '?includeGridData=true' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 1904, + 4272 + ], + "id": "db4a2c1b-90f2-4e70-ada8-14139ad34cca", + "name": "Leer Google Sheet actual", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "jsCode": "const prepared =\n $('Preparar Google Sheet').first().json || {};\n\nconst lookup =\n $('Buscar reporte existente Supabase').first().json || {};\n\nconst resolvedSheet =\n $('Crear Google Sheet').first().json || {};\n\nconst spreadsheet =\n $input.first().json || {};\n\nconst report =\n lookup && typeof lookup.report === 'object' && lookup.report\n ? lookup.report\n : {};\n\nconst historyExists =\n lookup.found === true &&\n Boolean(report.id);\n\nconst reusingSheet =\n historyExists &&\n Boolean(\n String(\n report.spreadsheet_id ||\n ''\n ).trim()\n );\n\nconst spreadsheetId =\n String(\n resolvedSheet.spreadsheetId ||\n report.spreadsheet_id ||\n spreadsheet.spreadsheetId ||\n ''\n ).trim();\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se pudo resolver el spreadsheetId del reporte.'\n );\n}\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction cellValue(cell) {\n if (!cell || typeof cell !== 'object') {\n return '';\n }\n\n const entered =\n cell.userEnteredValue || {};\n\n if (\n entered.stringValue !== undefined\n ) {\n return String(entered.stringValue);\n }\n\n if (\n entered.numberValue !== undefined\n ) {\n return String(entered.numberValue);\n }\n\n if (\n entered.boolValue !== undefined\n ) {\n return entered.boolValue\n ? 'TRUE'\n : 'FALSE';\n }\n\n if (\n entered.formulaValue !== undefined\n ) {\n return String(\n cell.formattedValue ??\n entered.formulaValue\n );\n }\n\n return String(\n cell.formattedValue ?? ''\n );\n}\n\nfunction sheetMatrix(sheet) {\n const matrix = [];\n const blocks =\n Array.isArray(sheet?.data)\n ? sheet.data\n : [];\n\n for (const block of blocks) {\n const startRow =\n Number(block.startRow || 0);\n const rowData =\n Array.isArray(block.rowData)\n ? block.rowData\n : [];\n\n for (\n let rowOffset = 0;\n rowOffset < rowData.length;\n rowOffset++\n ) {\n const rowIndex =\n startRow + rowOffset;\n\n const cells =\n Array.isArray(\n rowData[rowOffset]?.values\n )\n ? rowData[rowOffset].values\n : [];\n\n matrix[rowIndex] =\n cells.map(cellValue);\n }\n }\n\n return matrix;\n}\n\nfunction findHeaderInfo(matrix) {\n for (\n let rowIndex = 0;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const normalized =\n row.map(normalizeText);\n\n const resolutionIndex =\n normalized.findIndex(\n (value) =>\n value === 'resolucion'\n );\n\n if (resolutionIndex >= 0) {\n return {\n rowIndex,\n header: row,\n normalized,\n resolutionIndex,\n };\n }\n }\n\n return null;\n}\n\nfunction indexMatching(\n normalizedHeader,\n candidates\n) {\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const exact =\n normalizedHeader.findIndex(\n (header) =>\n header === normalizedCandidate\n );\n\n if (exact >= 0) {\n return exact;\n }\n }\n\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const partial =\n normalizedHeader.findIndex(\n (header) =>\n header.includes(\n normalizedCandidate\n )\n );\n\n if (partial >= 0) {\n return partial;\n }\n }\n\n return -1;\n}\n\nfunction firstAt(row, indexes) {\n for (const index of indexes) {\n if (\n index >= 0 &&\n String(row[index] ?? '').trim()\n ) {\n return String(row[index]);\n }\n }\n\n return '';\n}\n\nconst ids =\n prepared.sheetIds || {};\n\nfunction rowIdentity(\n sheetId,\n row,\n normalizedHeader\n) {\n const accountIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Cuenta',\n 'Cuenta Banco',\n 'Cuenta Destino',\n ]\n );\n\n const account =\n accountIndex >= 0\n ? normalizeAccount(\n row[accountIndex]\n )\n : '';\n\n if (account) {\n return `account:${account}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.nominaVsBanco)\n ) {\n const employeeIndex =\n indexMatching(\n normalizedHeader,\n ['Empleado', 'Nombre en nómina']\n );\n\n return `employee:${normalizeText(\n firstAt(\n row,\n [employeeIndex]\n )\n )}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinNomina)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Empleado Banco',\n 'Nombre en banco',\n ]\n );\n\n const currencyIndex =\n indexMatching(\n normalizedHeader,\n ['Moneda']\n );\n\n return [\n 'bank-no-payroll',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [currencyIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinBamboo)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre en banco']\n );\n\n const holderIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre del cuentahabiente']\n );\n\n return [\n 'bank-no-bamboo',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [holderIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.diferenciasNombreBanco)\n ) {\n const nameOne =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre en Archivo',\n 'Nombre en nómina',\n ]\n );\n\n const nameTwo =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre del Cuentahabiente',\n 'Nombre en banco',\n ]\n );\n\n return [\n 'name-difference',\n normalizeText(\n firstAt(row, [nameOne])\n ),\n normalizeText(\n firstAt(row, [nameTwo])\n ),\n ].join(':');\n }\n\n return '';\n}\n\nfunction collectRegularResolutions(\n sheetId,\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (!resolution) {\n continue;\n }\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (key) {\n result.set(\n key,\n resolution\n );\n }\n }\n\n return result;\n}\n\nfunction collectWrongAccountResolutions(\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (\n resolution &&\n currentEmployee &&\n field\n ) {\n result.set(\n `${currentEmployee}|${field}`,\n resolution\n );\n }\n }\n\n return result;\n}\n\nconst existingSheets =\n Array.isArray(spreadsheet.sheets)\n ? spreadsheet.sheets\n : [];\n\nconst sheetById =\n new Map();\n\nfor (const sheet of existingSheets) {\n const sheetId =\n sheet?.properties?.sheetId;\n\n if (\n sheetId !== null &&\n sheetId !== undefined\n ) {\n sheetById.set(\n Number(sheetId),\n sheet\n );\n }\n}\n\nconst resolutionMaps =\n new Map();\n\nif (reusingSheet) {\n for (\n const [key, rawId]\n of Object.entries(ids)\n ) {\n const sheetId =\n Number(rawId);\n\n const sheet =\n sheetById.get(sheetId);\n\n if (!sheet) {\n continue;\n }\n\n const matrix =\n sheetMatrix(sheet);\n\n const map =\n key === 'cuentaMalDigitada'\n ? collectWrongAccountResolutions(\n matrix\n )\n : collectRegularResolutions(\n sheetId,\n matrix\n );\n\n resolutionMaps.set(\n sheetId,\n map\n );\n }\n}\n\nfunction titleFromRange(range) {\n const match =\n String(range || '')\n .match(/^'([^']+)'!/);\n\n return match?.[1] || '';\n}\n\nconst desiredTitles =\n prepared.sheetTitles || {};\n\nconst titleToId =\n new Map();\n\nfor (\n const [key, title]\n of Object.entries(desiredTitles)\n) {\n if (\n ids[key] !== undefined\n ) {\n titleToId.set(\n String(title),\n Number(ids[key])\n );\n }\n}\n\nlet preservedResolutionsCount = 0;\n\nconst valueBatchBody =\n JSON.parse(\n JSON.stringify(\n prepared.valueBatchBody || {\n valueInputOption:\n 'USER_ENTERED',\n data: [],\n }\n )\n );\n\nfor (\n const dataEntry\n of valueBatchBody.data || []\n) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const sheetId =\n titleToId.get(title);\n\n if (\n sheetId === undefined ||\n !Array.isArray(\n dataEntry.values\n )\n ) {\n continue;\n }\n\n const info =\n findHeaderInfo(\n dataEntry.values\n );\n\n if (!info) {\n continue;\n }\n\n const oldMap =\n resolutionMaps.get(\n Number(sheetId)\n ) || new Map();\n\n if (\n Number(sheetId) ===\n Number(ids.cuentaMalDigitada)\n ) {\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const key =\n currentEmployee && field\n ? `${currentEmployee}|${field}`\n : '';\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n\n continue;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n}\n\nconst desiredSheets =\n Array.isArray(\n prepared\n .createSpreadsheetBody\n ?.sheets\n )\n ? prepared\n .createSpreadsheetBody\n .sheets\n : [];\n\nconst existingIds =\n new Set(\n existingSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst desiredIds =\n new Set(\n desiredSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst newlyAddedSheetIds =\n new Set();\n\nconst structureRequests = [\n {\n updateSpreadsheetProperties: {\n properties: {\n title:\n prepared.spreadsheetTitle ||\n prepared\n .createSpreadsheetBody\n ?.properties?.title ||\n spreadsheet.properties\n ?.title ||\n 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n];\n\nif (reusingSheet) {\n const optionalId =\n Number(\n ids.cuentaMalDigitada\n );\n\n if (\n Number.isFinite(optionalId) &&\n existingIds.has(optionalId) &&\n !desiredIds.has(optionalId)\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId: optionalId,\n },\n });\n\n existingIds.delete(\n optionalId\n );\n }\n\n for (\n let desiredIndex = 0;\n desiredIndex <\n desiredSheets.length;\n desiredIndex++\n ) {\n const desired =\n desiredSheets[\n desiredIndex\n ];\n\n const props =\n desired.properties || {};\n\n const desiredId =\n Number(props.sheetId);\n\n if (\n !Number.isFinite(\n desiredId\n )\n ) {\n continue;\n }\n\n const existing =\n existingSheets.find(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n ) === desiredId\n );\n\n if (!existing) {\n const sameTitle =\n existingSheets.find(\n (sheet) =>\n String(\n sheet?.properties\n ?.title || ''\n ) ===\n String(\n props.title || ''\n )\n );\n\n if (\n sameTitle &&\n Number(\n sameTitle\n ?.properties\n ?.sheetId\n ) !== desiredId\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId:\n Number(\n sameTitle\n .properties\n .sheetId\n ),\n },\n });\n }\n\n structureRequests.push({\n addSheet: {\n properties: {\n ...props,\n // El índice es 0-based. Así \"05 Cuenta Mal Digitada\"\n // vuelve exactamente antes de \"06 Resumen\" cuando reaparece.\n index:\n desiredIndex,\n gridProperties: {\n ...(props\n .gridProperties ||\n {}),\n frozenRowCount: 1,\n },\n },\n },\n });\n\n newlyAddedSheetIds.add(\n desiredId\n );\n\n continue;\n }\n\n const currentTitle =\n String(\n existing.properties\n ?.title || ''\n );\n\n const desiredTitle =\n String(\n props.title || ''\n );\n\n const currentIndex =\n Number(\n existing.properties\n ?.index\n );\n\n const titleNeedsUpdate =\n Boolean(\n desiredTitle &&\n currentTitle !==\n desiredTitle\n );\n\n const indexNeedsUpdate =\n Number.isFinite(\n currentIndex\n ) &&\n currentIndex !==\n desiredIndex;\n\n if (\n titleNeedsUpdate ||\n indexNeedsUpdate\n ) {\n const properties = {\n sheetId:\n desiredId,\n };\n\n const fields = [];\n\n if (titleNeedsUpdate) {\n properties.title =\n desiredTitle;\n fields.push('title');\n }\n\n if (indexNeedsUpdate) {\n properties.index =\n desiredIndex;\n fields.push('index');\n }\n\n structureRequests.push({\n updateSheetProperties: {\n properties,\n fields:\n fields.join(','),\n },\n });\n }\n }\n}\n\nconst originalFormatRequests =\n Array.isArray(\n prepared\n .formatBatchBody\n ?.requests\n )\n ? prepared\n .formatBatchBody\n .requests\n : [];\n\n/*\n * IMPORTANTE AL REUTILIZAR UN REPORTE:\n *\n * \"Actualizar estructura Google Sheet\" se ejecuta ANTES de\n * \"Formatear Google Sheet\". Cuando la estructura elimina una hoja\n * (por ejemplo, \"05 Cuenta Mal Digitada\" deja de ser necesaria),\n * Google elimina automáticamente también los ProtectedRange de esa hoja.\n *\n * Por eso NO debemos intentar borrar después esos protectedRangeId en el\n * batch de formato, porque ya dejaron de existir y Google responde:\n * \"Invalid requests[x].deleteProtectedRange: No protected range with id\".\n *\n * Se identifican aquí todas las hojas que serán eliminadas por el batch\n * de estructura y se excluyen sus protecciones del batch de formato.\n */\nconst sheetIdsScheduledForDeletion =\n new Set(\n structureRequests\n .map((request) =>\n Number(\n request?.deleteSheet?.sheetId\n )\n )\n .filter(Number.isFinite)\n );\n\nconst formatRequests = [];\nconst protectedRangeIdsScheduled =\n new Set();\n\nif (reusingSheet) {\n for (\n const sheet\n of existingSheets\n ) {\n const currentSheetId =\n Number(\n sheet?.properties?.sheetId\n );\n\n // Si esta hoja será eliminada en el paso de estructura, sus\n // protecciones también desaparecerán automáticamente.\n if (\n Number.isFinite(currentSheetId) &&\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const protections =\n Array.isArray(\n sheet.protectedRanges\n )\n ? sheet.protectedRanges\n : [];\n\n for (\n const protection\n of protections\n ) {\n const description =\n String(\n protection.description ||\n ''\n );\n\n const protectedRangeId =\n Number(\n protection\n .protectedRangeId\n );\n\n if (\n description.startsWith(\n 'Protección GLM'\n ) &&\n Number.isFinite(\n protectedRangeId\n ) &&\n !protectedRangeIdsScheduled.has(\n protectedRangeId\n )\n ) {\n protectedRangeIdsScheduled.add(\n protectedRangeId\n );\n\n formatRequests.push({\n deleteProtectedRange: {\n protectedRangeId,\n },\n });\n }\n }\n }\n}\n\n\n/*\n * Limpieza visual al reutilizar un reporte.\n *\n * values:batchClear elimina el CONTENIDO de las filas antiguas, pero Google\n * Sheets conserva su formato. Si una ejecución anterior tenía cientos de\n * discrepancias y la nueva tiene pocas, podían quedar celdas vacías con el\n * fondo rojo/amarillo aplicado por la ejecución anterior.\n *\n * La corrección es deliberadamente limitada: solamente se limpia el\n * background de las filas que quedan DESPUÉS de la última fila escrita por\n * la nueva ejecución. No se toca ninguna fila vigente, encabezado,\n * Resolución preservada, protección, borde, ancho, fórmula ni lógica del\n * cruce.\n */\nif (reusingSheet) {\n for (\n const dataEntry\n of valueBatchBody.data || []\n ) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const currentSheetId =\n Number(\n titleToId.get(title)\n );\n\n if (\n !Number.isFinite(\n currentSheetId\n ) ||\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n ) ||\n newlyAddedSheetIds.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const existingSheet =\n sheetById.get(\n currentSheetId\n );\n\n if (!existingSheet) {\n continue;\n }\n\n const currentValues =\n Array.isArray(\n dataEntry.values\n )\n ? dataEntry.values\n : [];\n\n const writtenRowCount =\n currentValues.length;\n\n const writtenColumnCount =\n currentValues.reduce(\n (maximum, row) =>\n Math.max(\n maximum,\n Array.isArray(row)\n ? row.length\n : 0\n ),\n 0\n );\n\n const gridRowCount =\n Number(\n existingSheet\n ?.properties\n ?.gridProperties\n ?.rowCount || 0\n );\n\n if (\n writtenRowCount <= 0 ||\n writtenColumnCount <= 0 ||\n !Number.isFinite(\n gridRowCount\n ) ||\n gridRowCount <=\n writtenRowCount\n ) {\n continue;\n }\n\n formatRequests.push({\n repeatCell: {\n range: {\n sheetId:\n currentSheetId,\n startRowIndex:\n writtenRowCount,\n endRowIndex:\n gridRowCount,\n startColumnIndex: 0,\n endColumnIndex:\n writtenColumnCount,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n },\n fields:\n 'userEnteredFormat.backgroundColor',\n },\n });\n }\n}\n\nfor (\n const request\n of originalFormatRequests\n) {\n if (\n reusingSheet &&\n request.mergeCells\n ) {\n const mergeSheetId =\n Number(\n request\n .mergeCells\n ?.range\n ?.sheetId\n );\n\n if (\n !newlyAddedSheetIds.has(\n mergeSheetId\n )\n ) {\n continue;\n }\n }\n\n formatRequests.push(\n request\n );\n}\n\nconst clearRanges =\n (valueBatchBody.data || [])\n .map(\n (entry) =>\n entry.range\n )\n .filter(Boolean);\n\nreturn [\n {\n json: {\n ok: true,\n stage:\n 'google_sheet_destino_preparado',\n spreadsheetId,\n reportUrl:\n `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit`,\n historyExists,\n reportUpdated:\n historyExists,\n reusingSheet,\n existingHistoricalId:\n report.id\n ? String(report.id)\n : '',\n reportIdentity:\n String(\n report.report_identity ||\n ''\n ),\n previousReport:\n report,\n preservedResolutionsCount,\n valueBatchBody,\n structureBatchBody: {\n requests:\n structureRequests,\n },\n clearBatchBody: {\n ranges: clearRanges,\n },\n formatBatchBody: {\n requests:\n formatRequests,\n },\n originalResponse:\n prepared.originalResponse ||\n {},\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 2144, + 4272 + ], + "id": "1470432d-26fa-49a3-91bb-f5a2d079190e", + "name": "Preparar actualización Google Sheet" + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.structureBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 2384, + 4272 + ], + "id": "42415acf-e89b-4dfd-b95e-3c9084466986", + "name": "Actualizar estructura Google Sheet", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchClear' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.clearBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 2624, + 4272 + ], + "id": "fbbfedff-8954-4385-be3a-55b31a94fd4f", + "name": "Limpiar Google Sheet", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchUpdate' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.valueBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 2864, + 4272 + ], + "id": "305e65f9-7af5-4d10-a418-89d19c5cc8b2", + "name": "Escribir Google Sheet", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.formatBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 3104, + 4272 + ], + "id": "e8e11612-9c60-4bfa-a82a-8637012ae3fb", + "name": "Formatear Google Sheet", + "retryOnFail": true, + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "jsCode": "const context =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst spreadsheetId =\n context.spreadsheetId;\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se recibió spreadsheetId para configurar permisos.'\n );\n}\n\nconst allowedEmails = [\n 'iaracena@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n 'vparamo@gomezleemarketing.com',\n 'adminregional@gomezleemarketing.com'\n];\n\nreturn allowedEmails.map((email) => ({\n json: {\n spreadsheetId,\n email,\n permissionBody: {\n type: 'user',\n role: 'writer',\n emailAddress: email,\n },\n reportUpdated:\n context.reportUpdated === true,\n },\n}));" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 3344, + 4272 + ], + "id": "2de6f0aa-c50c-47f8-9fd3-49a7778eac77", + "name": "Preparar permisos Google Sheet" + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://www.googleapis.com/drive/v3/files/' + $json.spreadsheetId + '/permissions?sendNotificationEmail=false' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $json.permissionBody }}", + "options": {} + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 3584, + 4272 + ], + "id": "3415275d-5db0-4864-81d4-6fe06b578c71", + "name": "Compartir Google Sheet", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + }, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "jsCode": "const cruce = $('Cruzar Nómina vs Banco').first().json || {};\nconst sheetContext =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst metadata = cruce.metadata || {};\nconst summary = cruce.summary || {};\nconst debug = cruce.debug || {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || cruce.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nfunction toNumber(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction buildPeriodKey(periodMetadata) {\n const country = periodMetadata.country || 'SV';\n const year = periodMetadata.year || '';\n const month = String(periodMetadata.month || '').padStart(2, '0');\n const periodType = periodMetadata.period_type || 'periodo';\n return `${country}-${year}-${month}-${periodType}`;\n}\n\nconst discrepancias = toNumber(summary.discrepancias);\nconst bancoSinNomina = toNumber(summary.bancoSinNomina);\nconst nominaSinCuenta = toNumber(summary.nominaSinCuenta);\nconst diferenciasNombreBanco =\n toNumber(summary.diferenciasNombreBanco);\nconst bancoSinBamboo =\n toNumber(summary.bancoSinBamboo);\nconst pendientes = toNumber(summary.pendientes) || (\n discrepancias +\n bancoSinNomina +\n nominaSinCuenta +\n diferenciasNombreBanco\n);\n\n// Banco sin Bamboo es una revisión independiente del cruce principal.\nconst requiereRevision =\n pendientes > 0 || bancoSinBamboo > 0;\n\n// La app final solo manejará Pendiente revisión y Resuelto.\nconst estado = requiereRevision\n ? 'pendiente_revision'\n : 'resuelto';\n\nconst reportIdentity = [\n 'SV',\n String(metadata.year || ''),\n String(metadata.month || '').padStart(2, '0'),\n String(metadata.period_type || '').trim().toLowerCase(),\n].join('-');\n\nconst reportUpdated =\n sheetContext.reportUpdated === true;\n\nconst preservedResolutionsCount =\n Number(\n sheetContext.preservedResolutionsCount || 0\n );\n\nconst payload = {\n source_app: metadata.source_app || 'cruce-cuentas-glm-el-salvador',\n country: metadata.country || 'SV',\n country_name: metadata.country_name || 'El Salvador',\n client_request_id: metadata.client_request_id || null,\n report_identity: reportIdentity,\n\n year: toNumber(metadata.year),\n month: toNumber(metadata.month),\n period_type: metadata.period_type || '',\n period_label: metadata.period_label || '',\n period_start: metadata.period_start || null,\n period_end: metadata.period_end || null,\n period_key: buildPeriodKey(metadata),\n\n payroll_file_name: metadata.payroll_file_name || '',\n bank_file_names: metadata.bank_file_names || [],\n\n coincidencias: toNumber(summary.coincidencias),\n discrepancias,\n\n banco_sin_bamboo: bancoSinBamboo,\n detalle_banco_sin_bamboo:\n Array.isArray(cruce.bankWithoutBamboo)\n ? cruce.bankWithoutBamboo\n : [],\n banco_sin_nomina: bancoSinNomina,\n nomina_sin_cuenta: nominaSinCuenta,\n nomina_sin_bamboo: 0,\n bamboo_sin_nomina: 0,\n\n filas_nomina_validas: toNumber(summary.filasNominaValidas),\n cuentas_nomina_agrupadas: toNumber(summary.cuentasNominaAgrupadas),\n transacciones_banco: toNumber(summary.transaccionesBanco),\n cuentas_banco_agrupadas: toNumber(summary.cuentasBancoAgrupadas),\n\n total_nomina: toNumber(summary.totalNomina),\n total_banco: toNumber(summary.totalBanco),\n diferencia_total: toNumber(summary.diferenciaTotal),\n\n report_url: reportUrl,\n spreadsheet_id: spreadsheetId,\n estado,\n\n ejecutado_por_nombre: metadata.requested_by_name || 'Usuario GLM',\n ejecutado_por_email: metadata.requested_by_email || '',\n\n metadata: {\n ...metadata,\n report_identity: reportIdentity,\n report_updated: reportUpdated,\n preserved_resolutions_count: preservedResolutionsCount,\n diferencias_nombre_banco:\n diferenciasNombreBanco,\n banco_sin_bamboo:\n bancoSinBamboo,\n pendientes_cruce_principal:\n pendientes,\n requiere_revision:\n requiereRevision,\n },\n summary,\n debug: {\n sheet_summaries: debug.sheet_summaries || [],\n attached_supplements: debug.attached_supplements || [],\n unattached_supplements: debug.unattached_supplements || [],\n bank_name_differences_preview:\n debug.bank_name_differences_preview || [],\n bamboo_matches:\n debug.bamboo_matches || [],\n bamboo_excluded_payments:\n debug.bamboo_excluded_payments || [],\n banco_sin_bamboo:\n cruce.bankWithoutBamboo || [],\n },\n};\n\n\nif (\n reportUpdated &&\n estado !== 'resuelto'\n) {\n payload.resuelto_por_nombre = null;\n payload.resuelto_por_email = null;\n payload.resuelto_en = null;\n payload.comentario_resolucion = null;\n}\n\nreturn [\n {\n json: {\n ...cruce,\n reportUpdated,\n preservedResolutionsCount,\n existingHistoricalId: sheetContext.existingHistoricalId || '',\n reportIdentity,\n supabaseTable: 'cruces_cuentas_gt_reportes',\n supabasePayload: payload,\n reportUrl,\n spreadsheetId,\n },\n },\n];\n" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 3824, + 4272 + ], + "id": "4fb61d6c-0eb3-4f34-8c3f-e12ca9fb5a89", + "name": "Preparar histórico Supabase" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/cruces_cuentas_gt_reportes?on_conflict=report_identity", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "resolution=merge-duplicates,return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $json.supabasePayload }}", + "options": {} + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 4064, + 4272 + ], + "id": "8a548867-3576-40bf-92a8-708da2420098", + "name": "Insertar histórico Supabase", + "onError": "continueRegularOutput" + }, + { + "parameters": { + "jsCode": "const prepared = $('Preparar Google Sheet').first().json || {};\nconst sheetContext = $('Preparar actualización Google Sheet').first().json || {};\n\nconst original =\n prepared.originalResponse ||\n prepared.original_response ||\n prepared.response ||\n {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\n\nfunction collectHistoricalObjects(value, output) {\n if (Array.isArray(value)) {\n for (const item of value) collectHistoricalObjects(item, output);\n return;\n }\n\n if (!value || typeof value !== 'object') return;\n\n output.push(value);\n\n if (Array.isArray(value.data)) {\n for (const item of value.data) collectHistoricalObjects(item, output);\n }\n}\n\nconst historicalObjects = [];\ntry {\n for (const item of $items('Insertar histórico Supabase')) {\n collectHistoricalObjects(item.json, historicalObjects);\n }\n} catch (error) {\n // Si Supabase no devolvió representación, el reporte sigue respondiendo\n // igual que antes; únicamente executionId quedará vacío.\n}\n\nconst insertedHistoricalReport =\n historicalObjects.find((item) => item && item.id) || null;\n\nconst executionId = insertedHistoricalReport?.id\n ? String(insertedHistoricalReport.id)\n : '';\n\nreturn [\n {\n json: {\n ok: original.ok ?? true,\n message: reportUrl\n ? (sheetContext.reportUpdated === true\n ? `Reporte existente actualizado correctamente. Se conservaron ${Number(sheetContext.preservedResolutionsCount || 0)} resolución(es) previamente registradas.`\n : 'Cruce procesado correctamente. Google Sheet generado.')\n : 'Cruce procesado correctamente, pero no se recibió URL del Google Sheet.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado_sin_reporte',\n errors: original.errors || [],\n metadata: original.metadata || {},\n summary: original.summary || {},\n rows: original.rows || [],\n bankWithoutBamboo:\n original.bankWithoutBamboo || [],\n bambooSummary:\n original.bambooSummary || {},\n reportUrl,\n executionId: executionId || undefined,\n reportUpdated: sheetContext.reportUpdated === true,\n reusingSheet: sheetContext.reusingSheet === true,\n preservedResolutionsCount: Number(sheetContext.preservedResolutionsCount || 0),\n clientRequestId: original.metadata?.client_request_id || '',\n googleSheet: {\n spreadsheetId,\n spreadsheetUrl: reportUrl,\n },\n debug: {\n rows_returned: Array.isArray(original.rows) ? original.rows.length : 0,\n coincidencias: original.summary?.coincidencias ?? 0,\n discrepancias: original.summary?.discrepancias ?? 0,\n bancoSinBamboo:\n original.summary?.bancoSinBamboo ?? 0,\n bancoSinBambooRows:\n Array.isArray(original.bankWithoutBamboo)\n ? original.bankWithoutBamboo.length\n : 0,\n },\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 4304, + 4192 + ], + "id": "a1b49f6a-89ad-49a8-a433-b457be7b660a", + "name": "Preparar respuesta final" + }, + { + "parameters": { + "respondWith": "json", + "responseBody": "={{\n(() => {\n const data = $json || {};\n\n const original =\n data.originalResponse ||\n data.original_response ||\n data.response ||\n data.cruceResponse ||\n data.cruce_response ||\n data;\n\n const summary = original.summary || data.summary || {};\n const rows = original.rows || data.rows || [];\n const bankWithoutBamboo =\n original.bankWithoutBamboo ||\n data.bankWithoutBamboo ||\n [];\n const bambooSummary =\n original.bambooSummary ||\n data.bambooSummary ||\n {};\n\n const reportUrl =\n data.reportUrl ||\n data.report_url ||\n data.googleSheetUrl ||\n data.google_sheet_url ||\n data.spreadsheetUrl ||\n data.spreadsheet_url ||\n original.reportUrl ||\n original.report_url ||\n null;\n\n return {\n ok: original.ok ?? data.ok ?? true,\n message: original.message || data.message || (reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente.'),\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado',\n errors: original.errors || data.errors || [],\n metadata: original.metadata || data.metadata || {},\n summary,\n rows,\n bankWithoutBamboo,\n bambooSummary,\n reportUrl,\n executionId: original.executionId || data.executionId || null,\n reportUpdated: original.reportUpdated ?? data.reportUpdated ?? false,\n reusingSheet: original.reusingSheet ?? data.reusingSheet ?? false,\n preservedResolutionsCount: Number(original.preservedResolutionsCount ?? data.preservedResolutionsCount ?? 0),\n clientRequestId: original.clientRequestId || data.clientRequestId || original.metadata?.client_request_id || data.metadata?.client_request_id || null,\n debug: {\n source_stage: data.stage || null,\n rows_returned:\n Array.isArray(rows) ? rows.length : 0,\n banco_sin_bamboo_rows:\n Array.isArray(bankWithoutBamboo)\n ? bankWithoutBamboo.length\n : 0,\n report_url_found: Boolean(reportUrl),\n },\n };\n})()\n}}", + "options": { + "responseCode": 200, + "responseHeaders": { + "entries": [ + { + "name": "Content-Type", + "value": "application/json" + } + ] + } + } + }, + "type": "n8n-nodes-base.respondToWebhook", + "typeVersion": 1.5, + "position": [ + 4544, + 4192 + ], + "id": "7e47cf20-f7fc-4135-8b97-427308bd1fee", + "name": "Respond to Webhook" + }, + { + "parameters": { + "jsCode": "const prepared = $('Preparar histórico Supabase').first().json || {};\nconst payload = prepared.supabasePayload || {};\nconst metadata = payload.metadata || {};\nconst summary = payload.summary || {};\nconst reportUpdated = prepared.reportUpdated === true;\n\nfunction escapeHtml(value) {\n return String(value ?? '')\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\nfunction numberValue(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction formatGeneratedAt(date) {\n const timeZone = 'America/El_Salvador';\n\n const dateLabel = new Intl.DateTimeFormat('es-SV', {\n timeZone,\n day: 'numeric',\n month: 'long',\n year: 'numeric',\n }).format(date);\n\n const timeLabel = new Intl.DateTimeFormat('es-SV', {\n timeZone,\n hour: 'numeric',\n minute: '2-digit',\n hour12: true,\n }).format(date);\n\n const hour24Raw = new Intl.DateTimeFormat('en-US', {\n timeZone,\n hour: '2-digit',\n hour12: false,\n }).format(date);\n\n const hour24 =\n Number(String(hour24Raw).replace(/\\D/g, '')) % 24;\n\n const hourArticle =\n hour24 === 1 || hour24 === 13\n ? 'a la'\n : 'a las';\n\n return `${dateLabel} ${hourArticle} ${timeLabel}`;\n}\n\nfunction metricCard(label, value, accent) {\n return `\n
| \n \n ${escapeHtml(label)}\n \n\n \n ${numberValue(value).toLocaleString('en-US')}\n \n | \n
\n\n
| \n
\n
|
\n\n
| \n
fe?(P.sortIndex=ee,e(p,P),i(m)===null&&P===i(p)&&(T?(D(q),q=-1):T=!0,_e(G,ee-fe))):(P.sortIndex=te,e(m,P),S||_||(S=!0,J||(J=!0,ce()))),P},n.unstable_shouldYield=X,n.unstable_wrapCallback=function(P){var Y=x;return function(){var ee=x;x=Y;try{return P.apply(this,arguments)}finally{x=ee}}}})(rd)),rd}var Zy;function n1(){return Zy||(Zy=1,ad.exports=t1()),ad.exports}var od={exports:{}},zt={};/**
- * @license React
- * react-dom.production.js
- *
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
- */var Wy;function s1(){if(Wy)return zt;Wy=1;var n=Sf();function e(m){var p="https://react.dev/errors/"+m;if(1
- Incluye la quincenal y todas las planillas extraordinarias, vacaciones o XIII Mes que correspondan al período.
+ {isPanama
+ ? 'Incluye la quincenal y todas las planillas extraordinarias, vacaciones o XIII Mes que correspondan al período.'
+ : 'Incluye todos los archivos de nómina de El Salvador que correspondan a la quincena seleccionada (General, Karla Elias, Nestlé, Motorola u otros del mismo formato).'}