{ "meta": { "templateCredsSetupCompleted": true }, "nodes": [ { "id": "9271f4b1-23d4-4f17-8e6a-af7caad6eb78", "name": "Extract from File", "type": "n8n-nodes-base.extractFromFile", "position": [ -176, -48 ], "parameters": { "options": {}, "operation": "pdf", "binaryPropertyName": "={{ $('Application Reception').item.binary.Curr_culum }}" }, "typeVersion": 1.1 }, { "id": "d2b87f22-73f1-4efa-97bc-4fa84efa2504", "name": "If", "type": "n8n-nodes-base.if", "position": [ -624, 192 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "24fd8850-53a0-407f-8c3b-86d17f00d6d6", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.nivel_ajuste }}", "rightValue": "Alto" } ] } }, "typeVersion": 2.3 }, { "id": "44c473c7-d494-4934-863e-b4d3d96aff23", "name": "Clear data", "type": "n8n-nodes-base.code", "position": [ -832, 192 ], "parameters": { "jsCode": "// ============================================================\n// 1. OBTENER LA RESPUESTA DE OLLAMA\n// ============================================================\n\nconst rawContent =\n $json.content ??\n $json.message?.content ??\n $json.response ??\n $json.output ??\n '';\n\nif (\n rawContent === null ||\n rawContent === undefined ||\n (\n typeof rawContent === 'string' &&\n !rawContent.trim()\n )\n) {\n throw new Error(\n 'No se encontr\u00f3 contenido v\u00e1lido en la respuesta de Ollama.'\n );\n}\n\n\n// ============================================================\n// 2. FUNCIONES PARA RECUPERAR Y REPARAR EL JSON\n// ============================================================\n\n// Extrae el primer objeto o array JSON completo.\n// Permite ignorar textos como:\n// \"Aqu\u00ed tienes el resultado: { ... }\"\nconst extractFirstJsonStructure = (text) => {\n const objectPosition = text.indexOf('{');\n const arrayPosition = text.indexOf('[');\n\n const possibleStarts = [\n objectPosition,\n arrayPosition,\n ].filter((position) => position >= 0);\n\n if (possibleStarts.length === 0) {\n return text.trim();\n }\n\n const startPosition = Math.min(...possibleStarts);\n\n const stack = [];\n let insideString = false;\n let escaped = false;\n\n for (\n let index = startPosition;\n index < text.length;\n index++\n ) {\n const character = text[index];\n\n if (insideString) {\n if (escaped) {\n escaped = false;\n continue;\n }\n\n if (character === '\\\\') {\n escaped = true;\n continue;\n }\n\n if (character === '\"') {\n insideString = false;\n }\n\n continue;\n }\n\n if (character === '\"') {\n insideString = true;\n continue;\n }\n\n if (\n character === '{' ||\n character === '['\n ) {\n stack.push(character);\n continue;\n }\n\n if (\n character === '}' ||\n character === ']'\n ) {\n const expectedOpening =\n character === '}' ? '{' : '[';\n\n const lastOpening =\n stack[stack.length - 1];\n\n if (lastOpening !== expectedOpening) {\n continue;\n }\n\n stack.pop();\n\n if (stack.length === 0) {\n return text\n .slice(startPosition, index + 1)\n .trim();\n }\n }\n }\n\n // Si no encuentra un cierre completo,\n // devuelve desde el primer inicio de JSON.\n return text.slice(startPosition).trim();\n};\n\n\n// Elimina Markdown, caracteres invisibles y texto externo.\nconst prepareJsonText = (value) => {\n let text = String(value)\n // Elimina BOM.\n .replace(/^\\uFEFF/, '')\n\n // Elimina caracteres invisibles frecuentes.\n .replace(/[\\u200B-\\u200D\\u2060]/g, '')\n\n // Normaliza comillas dobles tipogr\u00e1ficas.\n .replace(/[\u201c\u201d]/g, '\"')\n\n .trim();\n\n // Elimina bloques Markdown.\n text = text\n .replace(/^```(?:json)?\\s*/i, '')\n .replace(/\\s*```$/i, '')\n .trim();\n\n return extractFirstJsonStructure(text);\n};\n\n\n// Devuelve el \u00faltimo car\u00e1cter no vac\u00edo ya generado.\nconst getPreviousSignificantCharacter = (text) => {\n for (\n let index = text.length - 1;\n index >= 0;\n index--\n ) {\n if (!/\\s/.test(text[index])) {\n return text[index];\n }\n }\n\n return '';\n};\n\n\n// Corrige errores estructurales frecuentes de los modelos:\n// - \"Elemento\"\n// * \"Elemento\"\n// + \"Elemento\"\n// Comas finales: [\"a\", \"b\",]\n// Saltos de l\u00ednea sin escapar dentro de textos.\nconst repairJsonStructure = (text) => {\n let repairedText = '';\n let insideString = false;\n let escaped = false;\n\n for (\n let index = 0;\n index < text.length;\n index++\n ) {\n const character = text[index];\n\n if (insideString) {\n if (escaped) {\n repairedText += character;\n escaped = false;\n continue;\n }\n\n if (character === '\\\\') {\n repairedText += character;\n escaped = true;\n continue;\n }\n\n if (character === '\"') {\n repairedText += character;\n insideString = false;\n continue;\n }\n\n // Los saltos de l\u00ednea literales no son v\u00e1lidos\n // dentro de strings JSON.\n if (\n character === '\\n' ||\n character === '\\r' ||\n character === '\\t'\n ) {\n repairedText += ' ';\n continue;\n }\n\n repairedText += character;\n continue;\n }\n\n if (character === '\"') {\n repairedText += character;\n insideString = true;\n continue;\n }\n\n // Corrige listas Markdown introducidas dentro de arrays.\n if (\n character === '-' ||\n character === '*' ||\n character === '+'\n ) {\n const previousCharacter =\n getPreviousSignificantCharacter(repairedText);\n\n let nextIndex = index + 1;\n\n while (\n nextIndex < text.length &&\n /\\s/.test(text[nextIndex])\n ) {\n nextIndex++;\n }\n\n const nextCharacter = text[nextIndex];\n\n const isStructuralBullet =\n (\n previousCharacter === '[' ||\n previousCharacter === ',' ||\n previousCharacter === '{'\n ) &&\n (\n nextCharacter === '\"' ||\n nextCharacter === '{' ||\n nextCharacter === '['\n );\n\n if (isStructuralBullet) {\n // Omite el s\u00edmbolo -, * o +.\n // Tambi\u00e9n avanza hasta el siguiente valor real.\n index = nextIndex - 1;\n continue;\n }\n }\n\n // Elimina comas finales antes de } o ].\n if (character === ',') {\n let nextIndex = index + 1;\n\n while (\n nextIndex < text.length &&\n /\\s/.test(text[nextIndex])\n ) {\n nextIndex++;\n }\n\n const nextCharacter = text[nextIndex];\n\n if (\n nextCharacter === '}' ||\n nextCharacter === ']'\n ) {\n continue;\n }\n }\n\n repairedText += character;\n }\n\n return repairedText.trim();\n};\n\n\n// Convierte literales habituales de Python/JavaScript\n// a valores v\u00e1lidos de JSON.\n// Solo act\u00faa fuera de strings.\nconst repairBareLiterals = (text) => {\n const replacements = {\n True: 'true',\n False: 'false',\n None: 'null',\n undefined: 'null',\n NaN: 'null',\n };\n\n let repairedText = '';\n let insideString = false;\n let escaped = false;\n\n for (\n let index = 0;\n index < text.length;\n index++\n ) {\n const character = text[index];\n\n if (insideString) {\n repairedText += character;\n\n if (escaped) {\n escaped = false;\n continue;\n }\n\n if (character === '\\\\') {\n escaped = true;\n continue;\n }\n\n if (character === '\"') {\n insideString = false;\n }\n\n continue;\n }\n\n if (character === '\"') {\n repairedText += character;\n insideString = true;\n continue;\n }\n\n if (/[A-Za-z]/.test(character)) {\n let endIndex = index;\n\n while (\n endIndex < text.length &&\n /[A-Za-z]/.test(text[endIndex])\n ) {\n endIndex++;\n }\n\n const word = text.slice(index, endIndex);\n\n repairedText +=\n replacements[word] ?? word;\n\n index = endIndex - 1;\n continue;\n }\n\n repairedText += character;\n }\n\n return repairedText;\n};\n\n\n// Limita el contenido mostrado en los errores,\n// para evitar respuestas excesivamente grandes.\nconst getErrorPreview = (\n value,\n maximumLength = 7000\n) => {\n const text = String(value);\n\n if (text.length <= maximumLength) {\n return text;\n }\n\n return `${text.slice(0, maximumLength)}... [contenido recortado]`;\n};\n\n\n// ============================================================\n// 3. INTERPRETAR EL JSON\n// ============================================================\n\nlet analysis;\nlet cleanedContent = '';\nlet repairedContent = '';\n\n// Algunas integraciones pueden devolver el objeto directamente.\nif (\n typeof rawContent === 'object' &&\n rawContent !== null &&\n !Array.isArray(rawContent)\n) {\n analysis = rawContent;\n} else {\n cleanedContent = prepareJsonText(rawContent);\n\n try {\n // Primer intento: JSON exacto, sin modificarlo.\n analysis = JSON.parse(cleanedContent);\n } catch (originalError) {\n // Segundo intento: reparar errores frecuentes.\n repairedContent = repairBareLiterals(\n repairJsonStructure(cleanedContent)\n );\n\n try {\n analysis = JSON.parse(repairedContent);\n } catch (repairedError) {\n throw new Error(\n [\n 'Ollama no devolvi\u00f3 JSON v\u00e1lido.',\n `Error original: ${originalError.message}.`,\n `Error despu\u00e9s de intentar repararlo: ${repairedError.message}.`,\n '',\n 'Contenido reparado recibido:',\n getErrorPreview(repairedContent),\n ].join(' ')\n );\n }\n }\n}\n\nif (\n typeof analysis !== 'object' ||\n analysis === null ||\n Array.isArray(analysis)\n) {\n throw new Error(\n 'La respuesta de Ollama debe ser un objeto JSON.'\n );\n}\n\n\n// ============================================================\n// 4. FUNCIONES DE NORMALIZACI\u00d3N\n// ============================================================\n\n// Limpia un texto:\n// - Elimina saltos de l\u00ednea.\n// - Elimina tabulaciones.\n// - Reduce espacios repetidos.\n// - Quita espacios iniciales y finales.\nconst cleanString = (value, fallback = '') => {\n if (\n value === null ||\n value === undefined\n ) {\n return fallback;\n }\n\n return String(value)\n .replace(/[\\r\\n\\t]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n};\n\n\n// Normaliza un n\u00famero dentro de unos l\u00edmites.\nconst cleanNumber = (\n value,\n min = 0,\n max = 100\n) => {\n let normalizedValue = value;\n\n // Permite valores como:\n // \"35\"\n // \"35 puntos\"\n // \"35/40\"\n // \"35,5\"\n if (typeof value === 'string') {\n const numberMatch = value\n .replace(',', '.')\n .match(/-?\\d+(?:\\.\\d+)?/);\n\n normalizedValue =\n numberMatch?.[0] ?? value;\n }\n\n const number = Number(normalizedValue);\n\n if (!Number.isFinite(number)) {\n return min;\n }\n\n return Math.min(\n max,\n Math.max(min, Math.round(number))\n );\n};\n\n\n// Normaliza valores booleanos.\nconst cleanBoolean = (\n value,\n fallback = true\n) => {\n if (typeof value === 'boolean') {\n return value;\n }\n\n if (typeof value === 'number') {\n if (value === 1) {\n return true;\n }\n\n if (value === 0) {\n return false;\n }\n }\n\n if (typeof value === 'string') {\n const normalizedValue = value\n .trim()\n .toLowerCase();\n\n if (\n normalizedValue === 'true' ||\n normalizedValue === 's\u00ed' ||\n normalizedValue === 'si' ||\n normalizedValue === '1'\n ) {\n return true;\n }\n\n if (\n normalizedValue === 'false' ||\n normalizedValue === 'no' ||\n normalizedValue === '0'\n ) {\n return false;\n }\n }\n\n return fallback;\n};\n\n\n// Limpia los elementos de un array.\nconst cleanArray = (value) => {\n if (!Array.isArray(value)) {\n return [];\n }\n\n return value\n .map((item) => {\n if (\n typeof item === 'object' &&\n item !== null\n ) {\n return cleanString(\n item.nombre ??\n item.valor ??\n item.texto ??\n item.descripcion ??\n ''\n );\n }\n\n return cleanString(item);\n })\n .filter(Boolean);\n};\n\n\n// Convierte un array en frases separadas por puntos.\nconst arrayToText = (value) => {\n const items = cleanArray(value);\n\n if (items.length === 0) {\n return '';\n }\n\n const normalizedItems = items.map((item) =>\n item\n .replace(/[.;,\\s]+$/g, '')\n .trim()\n );\n\n return `${normalizedItems.join('. ')}.`;\n};\n\n\n// Convierte un array en texto separado por comas.\nconst arrayToCommaText = (value) => {\n return cleanArray(value).join(', ');\n};\n\n\n// ============================================================\n// 5. NORMALIZAR PUNTUACIONES\n// ============================================================\n\nconst puntuacionTecnica = cleanNumber(\n analysis.puntuacion_tecnica,\n 0,\n 40\n);\n\nconst puntuacionExperiencia = cleanNumber(\n analysis.puntuacion_experiencia,\n 0,\n 25\n);\n\nconst puntuacionFormacion = cleanNumber(\n analysis.puntuacion_formacion,\n 0,\n 15\n);\n\nconst puntuacionProyectos = cleanNumber(\n analysis.puntuacion_proyectos,\n 0,\n 10\n);\n\nconst puntuacionComplementaria = cleanNumber(\n analysis.puntuacion_complementaria,\n 0,\n 10\n);\n\n\n// Calcula la puntuaci\u00f3n total para evitar\n// inconsistencias producidas por la IA.\nconst puntuacionCalculada =\n puntuacionTecnica +\n puntuacionExperiencia +\n puntuacionFormacion +\n puntuacionProyectos +\n puntuacionComplementaria;\n\n\n// ============================================================\n// 6. NORMALIZAR NIVEL DE AJUSTE\n// ============================================================\n\nlet nivelAjuste = cleanString(\n analysis.nivel_ajuste\n);\n\nconst nivelAjusteNormalizado =\n nivelAjuste.toLowerCase();\n\nif (nivelAjusteNormalizado === 'alto') {\n nivelAjuste = 'Alto';\n} else if (nivelAjusteNormalizado === 'medio') {\n nivelAjuste = 'Medio';\n} else if (nivelAjusteNormalizado === 'bajo') {\n nivelAjuste = 'Bajo';\n} else if (puntuacionCalculada >= 75) {\n nivelAjuste = 'Alto';\n} else if (puntuacionCalculada >= 50) {\n nivelAjuste = 'Medio';\n} else {\n nivelAjuste = 'Bajo';\n}\n\n\n// ============================================================\n// 7. NORMALIZAR RECOMENDACI\u00d3N\n// ============================================================\n\nlet recomendacion = cleanString(\n analysis.recomendacion\n);\n\nconst recomendacionNormalizada =\n recomendacion.toLowerCase();\n\nif (\n recomendacionNormalizada ===\n 'revisi\u00f3n prioritaria'\n) {\n recomendacion = 'Revisi\u00f3n prioritaria';\n} else if (\n recomendacionNormalizada ===\n 'revisi\u00f3n est\u00e1ndar'\n) {\n recomendacion = 'Revisi\u00f3n est\u00e1ndar';\n} else if (\n recomendacionNormalizada ===\n 'requiere m\u00e1s informaci\u00f3n'\n) {\n recomendacion = 'Requiere m\u00e1s informaci\u00f3n';\n} else if (puntuacionCalculada >= 75) {\n recomendacion = 'Revisi\u00f3n prioritaria';\n} else if (puntuacionCalculada >= 50) {\n recomendacion = 'Revisi\u00f3n est\u00e1ndar';\n} else {\n recomendacion = 'Requiere m\u00e1s informaci\u00f3n';\n}\n\n\n// ============================================================\n// 8. NORMALIZAR IDIOMAS\n// ============================================================\n\nconst idiomas = Array.isArray(analysis.idiomas)\n ? analysis.idiomas\n .map((idioma) => {\n // Permite idiomas como objeto:\n // { \"idioma\": \"Ingl\u00e9s\", \"nivel\": \"A1\" }\n if (\n typeof idioma === 'object' &&\n idioma !== null\n ) {\n return {\n idioma: cleanString(\n idioma.idioma ??\n idioma.nombre\n ),\n nivel: cleanString(\n idioma.nivel,\n 'No especificado'\n ),\n };\n }\n\n // Tambi\u00e9n acepta un string simple.\n return {\n idioma: cleanString(idioma),\n nivel: 'No especificado',\n };\n })\n .filter((idioma) => idioma.idioma)\n : [];\n\n\n// Idiomas sin saltos de l\u00ednea.\nconst idiomasTexto = idiomas\n .map(\n (item) =>\n `${item.idioma}: ${item.nivel}`\n )\n .join(' | ');\n\n\n// ============================================================\n// 9. OBJETO FINAL PARA GOOGLE SHEETS,\n// POWER AUTOMATE O SHAREPOINT\n// ============================================================\n\nconst result = {\n procesado_correctamente: true,\n\n resumen_profesional: cleanString(\n analysis.resumen_profesional\n ),\n\n puntuacion_total: puntuacionCalculada,\n puntuacion_tecnica: puntuacionTecnica,\n puntuacion_experiencia:\n puntuacionExperiencia,\n puntuacion_formacion:\n puntuacionFormacion,\n puntuacion_proyectos:\n puntuacionProyectos,\n puntuacion_complementaria:\n puntuacionComplementaria,\n\n nivel_ajuste: nivelAjuste,\n recomendacion,\n\n justificacion_recomendacion: cleanString(\n analysis.justificacion_recomendacion\n ),\n\n anos_experiencia_confirmados: cleanNumber(\n analysis.anos_experiencia_confirmados,\n 0,\n 50\n ),\n\n experiencia_relevante: cleanString(\n analysis.experiencia_relevante\n ),\n\n habilidades_confirmadas: arrayToCommaText(\n analysis.habilidades_confirmadas\n ),\n\n herramientas_automatizacion:\n arrayToCommaText(\n analysis.herramientas_automatizacion\n ),\n\n lenguajes_programacion: arrayToCommaText(\n analysis.lenguajes_programacion\n ),\n\n infraestructura_y_sistemas:\n arrayToCommaText(\n analysis.infraestructura_y_sistemas\n ),\n\n formacion_relevante: arrayToText(\n analysis.formacion_relevante\n ),\n\n idiomas: idiomasTexto,\n\n requisitos_cumplidos: arrayToText(\n analysis.requisitos_cumplidos\n ),\n\n requisitos_no_especificados: arrayToText(\n analysis.requisitos_no_especificados\n ),\n\n aspectos_destacados: arrayToText(\n analysis.aspectos_destacados\n ),\n\n aspectos_a_verificar: arrayToText(\n analysis.aspectos_a_verificar\n ),\n\n preguntas_entrevista: arrayToText(\n analysis.preguntas_entrevista\n ),\n\n requiere_revision_humana: cleanBoolean(\n analysis.requiere_revision_humana,\n true\n ),\n\n // Copia estructurada para usos posteriores.\n detalle_json: JSON.stringify({\n habilidades_confirmadas: cleanArray(\n analysis.habilidades_confirmadas\n ),\n\n herramientas_automatizacion: cleanArray(\n analysis.herramientas_automatizacion\n ),\n\n lenguajes_programacion: cleanArray(\n analysis.lenguajes_programacion\n ),\n\n infraestructura_y_sistemas: cleanArray(\n analysis.infraestructura_y_sistemas\n ),\n\n formacion_relevante: cleanArray(\n analysis.formacion_relevante\n ),\n\n idiomas,\n\n requisitos_cumplidos: cleanArray(\n analysis.requisitos_cumplidos\n ),\n\n requisitos_no_especificados: cleanArray(\n analysis.requisitos_no_especificados\n ),\n\n aspectos_destacados: cleanArray(\n analysis.aspectos_destacados\n ),\n\n aspectos_a_verificar: cleanArray(\n analysis.aspectos_a_verificar\n ),\n\n preguntas_entrevista: cleanArray(\n analysis.preguntas_entrevista\n ),\n }),\n};\n\n\nreturn [\n {\n json: result,\n },\n];" }, "typeVersion": 2 }, { "id": "188225b9-4278-441c-9b62-1c134716ba18", "name": "Error model o tokens", "type": "n8n-nodes-base.gmail", "position": [ 160, -208 ], "parameters": { "sendTo": "user@example.com", "message": "faltan creditos ", "options": {}, "subject": "Ollama" }, "credentials": { "gmailOAuth2": { "name": "" } }, "retryOnFail": true, "typeVersion": 2.2 }, { "id": "6f4dca49-a2f8-4ff4-a55d-582e218a10a0", "name": "Append row in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ -400, 192 ], "parameters": { "columns": { "value": { "Email": "={{ $('Application Reception').item.json['Correo electr\u00f3nico'] }}", "Phone": "={{ $('Application Reception').item.json['Tel\u00e9fono'] }}", "Estado": "={{ null }}", "idiomas": "={{ $json.idiomas }}", "detalle_json": "={{ $json.detalle_json }}", "nivel_ajuste": "={{ $json.nivel_ajuste }}", "recomendacion": "={{ $json.recomendacion }}", "Nombre competo": "={{ $('Application Reception').item.json.Nombre }} {{ $('Application Reception').item.json.Apellidos }}", "puntuacion_total": "={{ $json.puntuacion_total }}", "puntuacion_tecnica": "={{ $json.puntuacion_tecnica }}", "aspectos_destacados": "={{ $json.aspectos_destacados }}", "formacion_relevante": "={{ $json.formacion_relevante }}", "resumen_profesional": "={{ $json.resumen_profesional }}", "aspectos_a_verificar": "={{ $json.aspectos_a_verificar }}", "preguntas_entrevista": "={{ $json.preguntas_entrevista }}", "puntuacion_formacion": "={{ $json.puntuacion_formacion }}", "puntuacion_proyectos": "={{ $json.puntuacion_proyectos }}", "requisitos_cumplidos": "={{ $json.requisitos_cumplidos }}", "experiencia_relevante": "={{ $json.experiencia_relevante }}", "lenguajes_programacion": "={{ $json.lenguajes_programacion }}", "puntuacion_experiencia": "={{ $json.puntuacion_experiencia }}", "habilidades_confirmadas": "={{ $json.habilidades_confirmadas }}", "procesado_correctamente": "={{ $json.procesado_correctamente }}", "requiere_revision_humana": "={{ $json.requiere_revision_humana }}", "puntuacion_complementaria": "={{ $json.puntuacion_complementaria }}", "infraestructura_y_sistemas": "={{ $json.infraestructura_y_sistemas }}", "herramientas_automatizacion": "={{ $json.herramientas_automatizacion }}", "justificacion_recomendacion": "={{ $json.justificacion_recomendacion }}", "requisitos_no_especificados": "={{ $json.requisitos_no_especificados }}", "anos_experiencia_confirmados": "={{ $json.anos_experiencia_confirmados }}" }, "schema": [ { "id": "procesado_correctamente", "type": "string", "display": true, "removed": false, "required": false, "displayName": "procesado_correctamente", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Estado", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Estado", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Nombre competo", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Nombre competo", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Email", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Email", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Phone", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Phone", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "resumen_profesional", "type": "string", "display": true, "removed": false, "required": false, "displayName": "resumen_profesional", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_total", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_total", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_tecnica", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_tecnica", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_experiencia", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_experiencia", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_formacion", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_formacion", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_proyectos", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_proyectos", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_complementaria", "type": "string", "display": true, "removed": false, "required": false, "displayName": "puntuacion_complementaria", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "nivel_ajuste", "type": "string", "display": true, "removed": false, "required": false, "displayName": "nivel_ajuste", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "recomendacion", "type": "string", "display": true, "removed": false, "required": false, "displayName": "recomendacion", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "justificacion_recomendacion", "type": "string", "display": true, "removed": false, "required": false, "displayName": 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{ "columns": { "value": { "Estado": "={{ $json.data.approved }}", "justificacion_recomendacion": "={{ $('Clear data').item.json.justificacion_recomendacion }}" }, "schema": [ { "id": "procesado_correctamente", "type": "string", "display": true, "removed": true, "required": false, "displayName": "procesado_correctamente", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Estado", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Estado", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Nombre competo", "type": "string", "display": true, "removed": true, "required": false, "displayName": "Nombre competo", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "resumen_profesional", "type": "string", "display": true, "removed": true, "required": false, "displayName": "resumen_profesional", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_total", "type": "string", "display": true, "removed": true, "required": false, "displayName": "puntuacion_total", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_tecnica", "type": "string", "display": true, "removed": true, "required": false, "displayName": "puntuacion_tecnica", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_experiencia", "type": "string", "display": true, "removed": true, "required": false, "displayName": "puntuacion_experiencia", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_formacion", "type": "string", "display": true, "removed": true, "required": false, "displayName": "puntuacion_formacion", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_proyectos", "type": "string", "display": true, "removed": true, "required": false, "displayName": "puntuacion_proyectos", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "puntuacion_complementaria", "type": "string", "display": true, "removed": true, "required": false, "displayName": 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"defaultMatch": false, "canBeUsedToMatch": true }, { "id": "idiomas", "type": "string", "display": true, "removed": true, "required": false, "displayName": "idiomas", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "requisitos_cumplidos", "type": "string", "display": true, "removed": true, "required": false, "displayName": "requisitos_cumplidos", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "requisitos_no_especificados", "type": "string", "display": true, "removed": true, "required": false, "displayName": "requisitos_no_especificados", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "aspectos_destacados", "type": "string", "display": true, "removed": true, "required": false, "displayName": "aspectos_destacados", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "aspectos_a_verificar", "type": "string", "display": true, "removed": true, "required": false, "displayName": "aspectos_a_verificar", "defaultMatch": false, "canBeUsedToMatch": true 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total: {{ $json.puntuacion_total }}\nPuntuaci\u00f3n t\u00e9cnica: {{ $json.puntuacion_tecnica }}\nPuntuaci\u00f3n formaci\u00f3n: {{ $json.puntuacion_formacion }}\nPuntuaci\u00f3n experiencia: {{ $json.puntuacion_experiencia }}", "options": { "appendAttribution": false }, "subject": "Candidatura", "operation": "sendAndWait", "approvalOptions": { "values": { "approvalType": "double", "approveLabel": "Aprobar CV", "disapproveLabel": "Rechazar CV" } } }, "credentials": { "gmailOAuth2": { "name": "" } }, "retryOnFail": true, "typeVersion": 2.2, "waitBetweenTries": 5000 }, { "id": "a5cc5909-7f15-404a-8c4f-e14eee4cd0a8", "name": "OPTIONS", "type": "n8n-nodes-base.set", "position": [ -624, -48 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "c23b5870-0455-4f1a-8b26-360a6bebe4e7", "name": "mail", "type": "string", "value": "user@example.com" }, { "id": "1ef0568e-4466-48ae-9f70-d93f4b78f056", "name": "business info", "type": "string", "value": "=CLCode es una empresa que lleva a\u00f1os en el mund ode la utomatizaci\u00f3n, buscamos un t\u00e9cnico especializado en eso, que viva cerca, las condiciones son esas: \n\nPuesto: Especialista IA\nOficinas: Vic, Catalu\u00f1a. \nModalidad: 1 - 2 d\u00edas de teletrabajo a la semana\nHorario: flexibilidad para la hora de entrada\n\nStack tecnol\u00f3gico:\nAPIs (consumo e integraci\u00f3n): REST (GET/POST/PUT/DELETE); Manejo de JSON/XML; Webhooks\nSQL: joins, filtros, agregaciones, subqueries; limpieza y preparaci\u00f3n de datasets\nHerramientas de automatizaci\u00f3n como n8n.\nFunciones: \nCrear automatizaciones para simplificar tareas repetitivas en distintos equipos (operaciones, ventas, finanzas, soporte, etc).\nConectar plataformas y herramientas para que hablen entre s\u00ed.\nExplorar casos de uso de IA (como asistentes internos, res\u00famenes autom\u00e1ticos, clasificaci\u00f3n de informaci\u00f3n, an\u00e1lisis de datos).\nDise\u00f1ar flujos de trabajo autom\u00e1ticos usando herramientas como n8n.\nColaborar con diferentes \u00e1reas para entender necesidades y transformarlas en soluciones pr\u00e1cticas.\nProbar, mejorar y mantener automatizaciones para que sean confiables y escalables.\nDocumentar ideas, procesos y mejoras (sin burocracia, pero con orden).\nCoordinarse con los diferentes proveedores IT de la compa\u00f1\u00eda\n" } ] } }, "typeVersion": 3.4 }, { "id": "550c5a7d-42f6-4e66-94f0-e10674303d01", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1008, -240 ], "parameters": { "color": 7, "width": 1392, "height": 384, "content": "\n\n\n\n\n\n\n\n# PART 1" }, "typeVersion": 1 }, { "id": "c6f62d04-baf6-4e77-96d2-ff366d71be80", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1008, 160 ], "parameters": { "color": 7, "width": 1392, "height": 384, "content": "\n\n\n\n\n\n\n\n# PART 2" }, "typeVersion": 1 }, { "id": "49d66484-963e-4d49-a169-2c8be30640a5", "name": "Candidacy", "type": "n8n-nodes-base.gmail", "onError": "continueRegularOutput", "position": [ -400, -48 ], "parameters": { "sendTo": "={{ $('Application Reception').item.json['Correo electr\u00f3nico'] }}", "message": "=
\n
\n\n
\n

\n Candidatura recibida\n

\n
\n\n
\n

\n Hola {{ $('Application Reception').item.json['Nombre'] }},\n

\n\n

\n Hemos recibido correctamente tu candidatura para el puesto de\n T\u00e9cnico/a en Automatizaci\u00f3n de Procesos.\n

\n\n

\n Nuestro equipo revisar\u00e1 la informaci\u00f3n proporcionada y tu curr\u00edculum.\n La evaluaci\u00f3n automatizada se utilizar\u00e1 \u00fanicamente como apoyo, y cualquier\n decisi\u00f3n relacionada con el proceso ser\u00e1 revisada por una persona.\n

\n\n
\n

\n Estado de la candidatura: Pendiente de revisi\u00f3n\n

\n
\n\n

\n Nos pondremos en contacto contigo mediante el correo electr\u00f3nico facilitado\n si necesitamos informaci\u00f3n adicional o si tu candidatura avanza a la siguiente fase.\n

\n\n

\n Gracias por tu inter\u00e9s y por el tiempo dedicado a presentar tu candidatura.\n

\n\n

\n Un saludo,
\n Equipo de selecci\u00f3n de Empresa X\n

\n
\n\n
\n

\n Este correo confirma \u00fanicamente la recepci\u00f3n de la candidatura y no implica\n la aceptaci\u00f3n autom\u00e1tica en el proceso de selecci\u00f3n.\n

\n
\n\n
\n
", "options": {}, "subject": "Hemos recibido tu candidatura \u2013 T\u00e9cnico/a en Automatizaci\u00f3n de Procesos" }, "credentials": { "gmailOAuth2": { "name": "" } }, "retryOnFail": true, "typeVersion": 2.2 }, { "id": "346ee5c0-3f2c-4cbb-9a7c-9889c8b7c731", "name": "Application Reception", "type": "n8n-nodes-base.formTrigger", "position": [ -832, -48 ], "parameters": { "options": { "buttonLabel": "Enviar candidatura", "respondWithOptions": { "values": { "formSubmittedText": "Tu candidatura se ha enviado correctamente. Gracias por participar en el proceso de selecci\u00f3n." } } }, "formTitle": "Candidatura \u2014 T\u00e9cnico/a en Automatizaci\u00f3n de Procesos", "formFields": { "values": [ { "fieldLabel": "Nombre", "placeholder": "Introduce tu nombre", "requiredField": true }, { "fieldLabel": "Apellidos", "placeholder": "Introduce tus apellidos", "requiredField": true }, { "fieldType": "email", "fieldLabel": "Correo electr\u00f3nico", "placeholder": "user@example.com", "requiredField": true }, { "fieldLabel": "Tel\u00e9fono", "placeholder": "+1234567890", "requiredField": true }, { "fieldLabel": "Localidad", "requiredField": true }, { "fieldType": "dropdown", "fieldLabel": "\u00bfDispones de m\u00e1s de 2 a\u00f1os de experiencia en un puesto similar?", "fieldOptions": { "values": [ { "option": "S\u00ed" }, { "option": "No" } ] }, "requiredField": true }, { "fieldType": "number", "fieldLabel": "A\u00f1os de experiencia en automatizaci\u00f3n", "requiredField": true }, { "fieldType": "dropdown", "fieldLabel": "\u00bfDispones de un nivel B1 o B2 de ingl\u00e9s?", "fieldOptions": { "values": [ { "option": "No dispongo de nivel acreditado" }, { "option": "A1" }, { "option": "A2" }, { "option": "B1" }, { "option": "B2" }, { "option": "C1" }, { "option": "C2" } ] }, "requiredField": true }, { "fieldType": "textarea", "fieldLabel": "Herramientas de automatizaci\u00f3n que conoces", "placeholder": "Por ejemplo: Power Automate, n8n, Power Apps, Python, Zapier...", "requiredField": true }, { "fieldType": "textarea", "fieldLabel": "Describe brevemente una automatizaci\u00f3n que hayas desarrollado", "requiredField": true }, { "fieldType": "dropdown", "fieldLabel": "Disponibilidad para incorporarte", "fieldOptions": { "values": [ { "option": "Inmediata" }, { "option": "En 15 d\u00edas" }, { "option": "En 1 mes" }, { "option": "M\u00e1s de 1 mes" } ] }, "requiredField": true }, { "fieldType": "file", "fieldLabel": "Curr\u00edculum", "requiredField": true }, { "fieldType": "checkbox", "fieldLabel": "Acepto el tratamiento de mis datos para gestionar este proceso de selecci\u00f3n", "fieldOptions": { "values": [ { "option": "Acepto" } ] } } ] }, "formDescription": "Env\u00eda tu candidatura para el puesto de T\u00e9cnico/a en Automatizaci\u00f3n de Procesos en Empresa X. Los datos proporcionados se utilizar\u00e1n \u00fanicamente para gestionar el proceso de selecci\u00f3n." }, "typeVersion": 2.6 }, { "id": "a53021af-de39-421f-b153-9529c943c1cb", "name": "Analyze CV with Ollama", "type": "@n8n/n8n-nodes-langchain.ollama", "onError": "continueErrorOutput", "position": [ 32, -48 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "nemotron-3-ultra:cloud", "cachedResultName": "nemotron-3-ultra:cloud" }, "options": { "temperature": 0.2 }, "messages": { "values": [ { "role": "assistant", "content": "=Eres un asistente especializado en selecci\u00f3n t\u00e9cnica de personal para puestos de automatizaci\u00f3n de procesos.\n\nTu funci\u00f3n es analizar curr\u00edculums y comparar exclusivamente la experiencia, formaci\u00f3n y competencias profesionales del candidato con los requisitos del puesto.\n\n{{ $('OPTIONS').item.json['business info'] }}\n\nREGLAS OBLIGATORIAS:\n1. No eval\u00faes al candidato por su nombre, localidad, edad, fotograf\u00eda, g\u00e9nero, nacionalidad, correo, tel\u00e9fono ni ninguna caracter\u00edstica personal.\n2. No inventes habilidades, a\u00f1os de experiencia, titulaciones ni conocimientos que no aparezcan expl\u00edcitamente en el curr\u00edculum.\n3. Distingue claramente entre informaci\u00f3n confirmada e informaci\u00f3n no especificada.\n4. La puntuaci\u00f3n es orientativa y nunca debe utilizarse como decisi\u00f3n autom\u00e1tica de contrataci\u00f3n o descarte.\n5. Una habilidad no mencionada debe marcarse como \"No especificado\", no como una carencia confirmada.\n6. Devuelve exclusivamente un objeto JSON v\u00e1lido.\n7. No utilices bloques Markdown, explicaciones ni texto antes o despu\u00e9s del JSON.\n8. Utiliza exactamente los nombres de campos indicados.\n\nESTRUCTURA OBLIGATORIA DE SALIDA:\n{\n \"resumen_profesional\": \"string\",\n \"puntuacion_total\": 0,\n \"puntuacion_tecnica\": 0,\n \"puntuacion_experiencia\": 0,\n \"puntuacion_formacion\": 0,\n \"puntuacion_proyectos\": 0,\n \"puntuacion_complementaria\": 0,\n \"nivel_ajuste\": \"Alto | Medio | Bajo\",\n \"experiencia_relevante\": \"string\",\n \"anos_experiencia_confirmados\": 0,\n \"habilidades_confirmadas\": [\"string\"],\n \"herramientas_automatizacion\": [\"string\"],\n \"lenguajes_programacion\": [\"string\"],\n \"infraestructura_y_sistemas\": [\"string\"],\n \"formacion_relevante\": [\"string\"],\n \"idiomas\": [\n {\n \"idioma\": \"string\",\n \"nivel\": \"string\"\n }\n ],\n \"requisitos_cumplidos\": [\"string\"],\n \"requisitos_no_especificados\": [\"string\"],\n \"aspectos_destacados\": [\"string\"],\n \"aspectos_a_verificar\": [\"string\"],\n \"preguntas_entrevista\": [\"string\"],\n \"recomendacion\": \"Revisi\u00f3n prioritaria | Revisi\u00f3n est\u00e1ndar | Requiere m\u00e1s informaci\u00f3n\",\n \"justificacion_recomendacion\": \"string\",\n \"requiere_revision_humana\": true\n}" }, { "content": "=Analiza el siguiente curr\u00edculum para la vacante de T\u00e9cnico/a en Automatizaci\u00f3n de Procesos\n\nTEXTO EXTRA\u00cdDO DEL CURR\u00cdCULUM:\n\n{{ $json.text }}\n\nGenera la evaluaci\u00f3n respetando estrictamente las reglas y la estructura JSON indicadas en el mensaje del sistema.\n\nOtras preguntas y dudas realizadas al candidato:\n\nNombre del candidato: {{ $('Application Reception').item.json.Nombre }} \nApellidos: {{ $('Application Reception').item.json.Apellidos }}\nTel\u00e9fono: {{ $('Application Reception').item.json[\"Tel\u00e9fono\"] }}\nLocalidad: {{ $('Application Reception').item.json.Localidad }}\nExperiencia en puesto similar: {{ $('Application Reception').item.json[\"\u00bfDispones de m\u00e1s de 2 a\u00f1os de experiencia en un puesto similar?\"] }}\nA\u00f1os: {{ $('Application Reception').item.json[\"A\u00f1os de experiencia en automatizaci\u00f3n\"] }}\nNivel de ingl\u00e9s: {{ $('Application Reception').item.json[\"\u00bfDispones de un nivel B1 o B2 de ingl\u00e9s?\"] }}\nHerramientas que conoce: {{ $('Application Reception').item.json[\"Herramientas de automatizaci\u00f3n que conoces\"] }}\n\nDisponabilidad: {{ $('Application Reception').item.json[\"Disponibilidad para incorporarte\"] }}\n" } ] } }, "credentials": { "ollamaApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 1 }, { "id": "17ead660-9b7f-48d2-b3fb-93a0374c3f52", "name": "Application automatically rejected", "type": "n8n-nodes-base.gmail", "position": [ -400, 368 ], "parameters": { "sendTo": "={{ $('Application Reception').item.json['Correo electr\u00f3nico'] }}", "message": "aa", "options": {}, "subject": "Candidatura " }, "credentials": { "gmailOAuth2": { "name": "" } }, "retryOnFail": true, "typeVersion": 2.2 }, { "id": "ada52174-4200-451e-b551-58b215920c7a", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 432, -240 ], "parameters": { "width": 752, "height": 784, "content": "# PART 1 \u2014 CV RECEPTION AND ANALYSIS\n\nThis section manages the initial application reception and the automatic analysis of the resume.\n\n## Process\n\n1. **Application Reception**\n\n- Receives the candidate's data via a form.\n\n- Collects contact information, experience, skills, and the resume in PDF format.\n\n2. **OPTIONS**\n\n- Defines the company information and the job requirements.\n\n- This data is used as context to evaluate the resume.\n\n3. **Candidacy**\n\n- Sends the candidate an email confirming that their application has been received successfully.\n\n4. **Extract from File**\n\n- Extracts the text contained in the PDF resume.\n\n5. **Analyze CV with Ollama**\n\n- Compares the candidate's experience, education, and skills with the job requirements.\n\n- Returns a structured evaluation in JSON format.\n\n- Generates scores, fit level, recommendation, and areas for review.\n\n6. **Error model or tokens**\n\n- Executes if the model produces an error, is unavailable, or lacks sufficient credits.\n\n- Sends an alert to the process owner.\n\n> The AI \u200b\u200bevaluation serves only as a support tool. The final decision must be reviewed by a human." }, "typeVersion": 1 }, { "id": "106394ec-ef80-4f3e-a453-88b63693f083", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1232, -240 ], "parameters": { "width": 752, "height": 784, "content": "# PART 2 \u2014 CLASSIFICATION AND HUMAN REVIEW\n\nThis section processes the AI's output, classifies the candidate, and records the final decision.\n\n1. **Clear data**\n\n- Cleans and validates the JSON generated by Ollama.\n\n- Corrects common formatting errors.\n\n- Normalizes text, lists, numbers, and Boolean values.\n\n- Recalculates the total score to avoid inconsistencies.\n\n- Prepares the data for Google Sheets.\n\n2. **If**\n\n- Checks the candidate's fit level.\n\n- If the level is **High**, the candidate proceeds to human review.\n\n- If it is not High, it goes to the automatic rejection path.\n\n3. **Append row in sheet**\n\n- Records the candidate's data and the complete analysis in Google Sheets.\n\n- Saves scores, experience, skills, recommendations, and interview questions.\n\n4. **Human review**\n\n- Sends an email to the hiring manager.\n\n- Allows for manual approval or rejection of the application.\n\n5. **Update row in sheet**\n\n- Updates the application status in Google Sheets with the human decision.\n\n6. **Application automatically rejected**\n\n- Sends the corresponding email when the application does not pass the defined filter.\n\n> Google Sheets acts as the central record of the process and stores both the automated analysis and the human decision." }, "typeVersion": 1 }, { "id": "8a1a0ffb-9837-4bef-9eca-d51e14ce44ef", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1472, -240 ], "parameters": { "width": 432, "height": 576, "content": "# \ud83d\udc4b WELCOME\n\nHello! I'm **Oriol Segu\u00ed**, creator of this automation workflow.\n\nI developed this system to automate the reception, analysis, classification, and review of applications using **n8n, artificial intelligence, Gmail, and Google Sheets**.\n\nIf you find this workflow useful, inspiring, or helpful in creating your own automations, I would greatly appreciate it if you could support me and follow my LinkedIn profile:\n\n\ud83d\udc49 [Oriol Segu\u00ed's LinkedIn](https://www.linkedin.com/in/oriol-segu%C3%AD-1311a3141/)\n\nOn my profile, you'll also find **more automation workflows, projects, and case studies** related to n8n, artificial intelligence, and tool integration.\n\nThank you for viewing and using this project!" }, "typeVersion": 1 }, { "id": "008cdf3d-d299-49c1-a292-8c79a5998249", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1472, 368 ], "parameters": { "width": 432, "height": 176, "content": "# Need implementation support? \n\nContact me at : oriolrotllant3@gmail.com\n\nThis flow is optimized to prevent errors and adapted to scale easily." }, "typeVersion": 1 } ], "connections": { "If": { "main": [ [ { "node": "Append row in sheet", "type": "main", "index": 0 } ], [ { "node": "Application automatically rejected", "type": "main", "index": 0 } ] ] }, "OPTIONS": { "main": [ [ { "node": "Candidacy", "type": "main", "index": 0 } ] ] }, "Candidacy": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] }, "Clear data": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Human review": { "main": [ [ { "node": "Update row in sheet", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Analyze CV with Ollama", "type": "main", "index": 0 } ] ] }, "Append row in sheet": { "main": [ [ { "node": "Human review", "type": "main", "index": 0 } ] ] }, "Application Reception": { "main": [ [ { "node": "OPTIONS", "type": "main", "index": 0 } ] ] }, "Analyze CV with Ollama": { "main": [ [ { "node": "Clear data", "type": "main", "index": 0 } ], [ { "node": "Error model o tokens", "type": "main", "index": 0 } ] ] } } }