{ "name": "Empleabilidad Colombia - Employment Search Workflow", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "employment-search", "responseMode": "responseNode", "options": {} }, "id": "webhook-trigger", "name": "\ud83d\ude80 Webhook Trigger", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 240, 300 ] }, { "parameters": { "jsCode": "// Normalizar y validar datos del webhook\nconst body = $input.first().json.body || $input.first().json;\n\nconst searchId = body.search_id;\nconst userId = body.user_id;\nconst profile = body.profile;\nconst criteria = body.criteria || {};\n\nif (!searchId || !userId || !profile) {\n throw new Error('Datos incompletos: se requiere search_id, user_id y profile');\n}\n\n// Normalizar perfil\nconst normalizedProfile = {\n user_id: userId,\n city: (profile.city || '').toLowerCase().trim(),\n available_to_relocate: Boolean(profile.available_to_relocate),\n relocation_cities: Array.isArray(profile.relocation_cities) ? profile.relocation_cities : [],\n work_modality: Array.isArray(profile.work_modality) ? profile.work_modality : ['presencial'],\n immediate_availability: Boolean(profile.immediate_availability !== false),\n desired_salary_min: parseInt(profile.desired_salary_min) || null,\n desired_salary_max: parseInt(profile.desired_salary_max) || null,\n education_level: profile.education_level || null,\n years_experience: parseInt(profile.years_experience) || 0,\n experience_sectors: Array.isArray(profile.experience_sectors) ? profile.experience_sectors : [],\n technical_skills: Array.isArray(profile.technical_skills) ? profile.technical_skills : [],\n soft_skills: Array.isArray(profile.soft_skills) ? profile.soft_skills : [],\n languages: Array.isArray(profile.languages) ? profile.languages : [],\n bio: profile.bio || ''\n};\n\nconsole.log(`[NORMALIZE] search_id=${searchId} user_id=${userId} skills=${normalizedProfile.technical_skills.length}`);\n\nreturn [{\n json: {\n search_id: searchId,\n user_id: userId,\n profile: normalizedProfile,\n criteria: {\n city: criteria.city || profile.city,\n work_modality: criteria.work_modality || profile.work_modality,\n min_salary: criteria.min_salary || profile.desired_salary_min,\n max_salary: criteria.max_salary || profile.desired_salary_max,\n keywords: criteria.keywords || '',\n categories: criteria.categories || []\n },\n timestamp: new Date().toISOString()\n }\n}];" }, "id": "normalize-data", "name": "\ud83d\udd27 Normalizar Datos", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 460, 300 ] }, { "parameters": { "operation": "executeQuery", "query": "UPDATE searches SET status = 'processing', workflow_execution_id = '{{ $execution.id }}' WHERE id = '{{ $json.search_id }}' RETURNING id, status;", "options": {} }, "id": "update-search-processing", "name": "\ud83d\udcdd Marcar como Procesando", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 680, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "SELECT j.id, j.title, j.company_name, j.company_logo_url, j.city, j.work_modality, j.contract_type, j.required_education, j.required_experience_years, j.required_skills, j.preferred_skills, j.salary_min, j.salary_max, j.description, j.category, j.tags FROM jobs j WHERE j.status = 'active' AND ({{ $('\ud83d\udd27 Normalizar Datos').item.json.criteria.city != '' }} = false OR j.city ILIKE '%{{ $('\ud83d\udd27 Normalizar Datos').item.json.criteria.city }}%' OR j.work_modality = 'remoto') LIMIT 50;", "options": {} }, "id": "fetch-jobs", "name": "\ud83d\uddc4\ufe0f Consultar Vacantes", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 900, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "jsCode": "// Agrupar todas las vacantes en un solo objeto para enviar al scoring\nconst allItems = $input.all();\nconst normalizeNode = $('\ud83d\udd27 Normalizar Datos').first().json;\n\nif (!allItems || allItems.length === 0) {\n console.log('[AGGREGATE] No se encontraron vacantes');\n return [{\n json: {\n search_id: normalizeNode.search_id,\n user_id: normalizeNode.user_id,\n profile: normalizeNode.profile,\n vacancies: [],\n jobs_found: 0\n }\n }];\n}\n\nconst vacancies = allItems.map(item => ({\n id: item.json.id,\n title: item.json.title,\n company_name: item.json.company_name,\n city: item.json.city,\n work_modality: item.json.work_modality,\n contract_type: item.json.contract_type,\n required_education: item.json.required_education,\n required_experience_years: item.json.required_experience_years || 0,\n required_skills: typeof item.json.required_skills === 'string' \n ? JSON.parse(item.json.required_skills) \n : (item.json.required_skills || []),\n preferred_skills: typeof item.json.preferred_skills === 'string' \n ? JSON.parse(item.json.preferred_skills) \n : (item.json.preferred_skills || []),\n salary_min: item.json.salary_min,\n salary_max: item.json.salary_max,\n description: item.json.description,\n category: item.json.category\n}));\n\nconsole.log(`[AGGREGATE] ${vacancies.length} vacantes listas para scoring`);\n\nreturn [{\n json: {\n search_id: normalizeNode.search_id,\n user_id: normalizeNode.user_id,\n profile: normalizeNode.profile,\n vacancies: vacancies,\n jobs_found: vacancies.length\n }\n}];" }, "id": "aggregate-jobs", "name": "\ud83d\udce6 Agregar Vacantes", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1120, 300 ] }, { "parameters": { "operation": "executeQuery", "query": "UPDATE searches SET jobs_found = {{ $json.jobs_found }}, status = 'scoring' WHERE id = '{{ $json.search_id }}';", "options": {} }, "id": "update-jobs-found", "name": "\ud83d\udcca Actualizar Conteo", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 1340, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "method": "POST", "url": "http://scoring:8001/score", "sendBody": true, "contentType": "json", "body": "={{ JSON.stringify({ profile: $('\ud83d\udce6 Agregar Vacantes').item.json.profile, vacancies: $('\ud83d\udce6 Agregar Vacantes').item.json.vacancies, top_n: 20 }) }}", "options": { "timeout": 30000 } }, "id": "call-scoring", "name": "\ud83e\udde0 Microservicio Scoring", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1560, 300 ] }, { "parameters": { "jsCode": "// Preparar matches para insertar en PostgreSQL\nconst scoringResponse = $input.first().json;\nconst aggregateData = $('\ud83d\udce6 Agregar Vacantes').first().json;\n\nconst results = scoringResponse.results || [];\n\nconsole.log(`[SAVE] Guardando ${results.length} matches para search_id=${aggregateData.search_id}`);\n\nconst matchesForDB = results.map(r => ({\n search_id: aggregateData.search_id,\n user_id: aggregateData.user_id,\n job_id: r.job_id,\n total_score: r.total_score,\n skills_score: r.breakdown.skills_score,\n experience_score: r.breakdown.experience_score,\n location_score: r.breakdown.location_score,\n salary_score: r.breakdown.salary_score,\n education_score: r.breakdown.education_score,\n modality_score: r.breakdown.modality_score,\n semantic_score: r.breakdown.semantic_score,\n score_explanation: JSON.stringify(r.explanation),\n matched_skills: r.matched_skills,\n missing_skills: r.missing_skills,\n rank_position: r.rank_position,\n recommendation: r.recommendation\n}));\n\nreturn matchesForDB.map(m => ({ json: m }));" }, "id": "prepare-matches", "name": "\ud83d\udd04 Preparar Matches", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1780, 300 ] }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO matches (search_id, user_id, job_id, total_score, skills_score, experience_score, location_score, salary_score, education_score, modality_score, semantic_score, score_explanation, matched_skills, missing_skills, rank_position) VALUES ('{{ $json.search_id }}', '{{ $json.user_id }}', '{{ $json.job_id }}', {{ $json.total_score }}, {{ $json.skills_score }}, {{ $json.experience_score }}, {{ $json.location_score }}, {{ $json.salary_score }}, {{ $json.education_score }}, {{ $json.modality_score }}, {{ $json.semantic_score }}, '{{ $json.score_explanation }}', ARRAY[{{ $json.matched_skills.map(s => `'${s}'`).join(',') }}], ARRAY[{{ $json.missing_skills.map(s => `'${s}'`).join(',') }}], {{ $json.rank_position }}) ON CONFLICT (search_id, job_id) DO NOTHING;", "options": {} }, "id": "save-matches", "name": "\ud83d\udcbe Guardar Matches", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 2000, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "UPDATE searches SET status = 'completed', jobs_scored = (SELECT COUNT(*) FROM matches WHERE search_id = '{{ $('\ud83d\udce6 Agregar Vacantes').item.json.search_id }}'), completed_at = NOW() WHERE id = '{{ $('\ud83d\udce6 Agregar Vacantes').item.json.search_id }}';", "options": {} }, "id": "complete-search", "name": "\u2705 Completar B\u00fasqueda", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 2220, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO notifications (user_id, type, title, message, data) VALUES ('{{ $('\ud83d\udce6 Agregar Vacantes').item.json.user_id }}', 'matches_ready', '\u00a1Tus matches est\u00e1n listos!', 'Encontramos {{ $('\ud83e\udde0 Microservicio Scoring').item.json.results.length }} vacantes compatibles con tu perfil. Rev\u00edsalas ahora.', '{\"search_id\": \"{{ $('\ud83d\udce6 Agregar Vacantes').item.json.search_id }}\", \"count\": {{ $('\ud83e\udde0 Microservicio Scoring').item.json.results.length }}}') RETURNING id;", "options": {} }, "id": "create-notification", "name": "\ud83d\udd14 Crear Notificaci\u00f3n", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 2440, 300 ], "credentials": { "postgres": { "name": "" } } }, { "parameters": { "jsCode": "// Simular env\u00edo de email de notificaci\u00f3n\nconst userId = $('\ud83d\udce6 Agregar Vacantes').first().json.user_id;\nconst searchId = $('\ud83d\udce6 Agregar Vacantes').first().json.search_id;\nconst matchCount = $('\ud83e\udde0 Microservicio Scoring').first().json.results?.length || 0;\n\nconsole.log(`[EMAIL] Simulando email para user=${userId}`);\nconsole.log(`[EMAIL] Subject: \u00a1${matchCount} nuevas vacantes compatibles para ti!`);\nconsole.log(`[EMAIL] Body: Hemos encontrado ${matchCount} vacantes que coinciden con tu perfil.`);\nconsole.log(`[EMAIL] URL: http://localhost:3001/matches?search=${searchId}`);\n\n// En producci\u00f3n: usar SendGrid, AWS SES, etc.\n// const emailResult = await sendEmail({ to: userEmail, ... });\n\nreturn [{\n json: {\n email_sent: true,\n simulated: true,\n user_id: userId,\n match_count: matchCount,\n timestamp: new Date().toISOString()\n }\n}];" }, "id": "send-email", "name": "\ud83d\udce7 Notificaci\u00f3n Email (Simulado)", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2660, 300 ] }, { "parameters": { "method": "POST", "url": "http://backend:3000/api/n8n/callback", "sendBody": true, "contentType": "json", "body": "={{ JSON.stringify({ search_id: $('\ud83d\udce6 Agregar Vacantes').item.json.search_id, status: 'completed', matches_count: $('\ud83e\udde0 Microservicio Scoring').item.json.results?.length || 0 }) }}", "options": {} }, "id": "callback-backend", "name": "\ud83d\udd01 Callback Backend", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2880, 300 ] }, { "parameters": { "respondWith": "json", "responseBody": "={{ JSON.stringify({ success: true, search_id: $('\ud83d\udce6 Agregar Vacantes').item.json.search_id, message: 'Workflow completado exitosamente', execution_id: $execution.id }) }}" }, "id": "respond-webhook", "name": "\u21a9\ufe0f Responder Webhook", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 3100, 300 ] }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO audit_logs (user_id, entity_type, entity_id, action, message, service, metadata) VALUES ('{{ $('\ud83d\udce6 Agregar Vacantes').item.json.user_id }}', 'search', '{{ $('\ud83d\udce6 Agregar Vacantes').item.json.search_id }}', 'WORKFLOW_COMPLETED', 'Workflow n8n ejecutado correctamente', 'n8n', '{\"execution_id\": \"{{ $execution.id }}\", \"matches\": {{ $('\ud83e\udde0 Microservicio Scoring').item.json.results?.length || 0 }}}');", "options": {} }, "id": "audit-log", "name": "\ud83d\udccb Registro de Auditor\u00eda", "type": "n8n-nodes-base.postgres", "typeVersion": 2.5, "position": [ 2440, 500 ], "credentials": { "postgres": { "name": "" } } } ], "connections": { "\ud83d\ude80 Webhook Trigger": { "main": [ [ { "node": "\ud83d\udd27 Normalizar Datos", "type": "main", "index": 0 } ] ] }, "\ud83d\udd27 Normalizar Datos": { "main": [ [ { "node": "\ud83d\udcdd Marcar como Procesando", "type": "main", "index": 0 } ] ] }, "\ud83d\udcdd Marcar como Procesando": { "main": [ [ { "node": "\ud83d\uddc4\ufe0f Consultar Vacantes", "type": "main", "index": 0 } ] ] }, "\ud83d\uddc4\ufe0f Consultar Vacantes": { "main": [ [ { "node": "\ud83d\udce6 Agregar Vacantes", "type": "main", "index": 0 } ] ] }, "\ud83d\udce6 Agregar Vacantes": { "main": [ [ { "node": "\ud83d\udcca Actualizar Conteo", "type": "main", "index": 0 } ] ] }, "\ud83d\udcca Actualizar Conteo": { "main": [ [ { "node": "\ud83e\udde0 Microservicio Scoring", "type": "main", "index": 0 } ] ] }, "\ud83e\udde0 Microservicio Scoring": { "main": [ [ { "node": "\ud83d\udd04 Preparar Matches", "type": "main", "index": 0 } ] ] }, "\ud83d\udd04 Preparar Matches": { "main": [ [ { "node": "\ud83d\udcbe Guardar Matches", "type": "main", "index": 0 } ] ] }, "\ud83d\udcbe Guardar Matches": { "main": [ [ { "node": "\u2705 Completar B\u00fasqueda", "type": "main", "index": 0 } ] ] }, "\u2705 Completar B\u00fasqueda": { "main": [ [ { "node": "\ud83d\udd14 Crear Notificaci\u00f3n", "type": "main", "index": 0 }, { "node": "\ud83d\udccb Registro de Auditor\u00eda", "type": "main", "index": 0 } ] ] }, "\ud83d\udd14 Crear Notificaci\u00f3n": { "main": [ [ { "node": "\ud83d\udce7 Notificaci\u00f3n Email (Simulado)", "type": "main", "index": 0 } ] ] }, "\ud83d\udce7 Notificaci\u00f3n Email (Simulado)": { "main": [ [ { "node": "\ud83d\udd01 Callback Backend", "type": "main", "index": 0 } ] ] }, "\ud83d\udd01 Callback Backend": { "main": [ [ { "node": "\u21a9\ufe0f Responder Webhook", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": "", "timezone": "America/Bogota" }, "staticData": null, "tags": [ { "createdAt": "2024-01-01T00:00:00.000Z", "updatedAt": "2024-01-01T00:00:00.000Z", "id": "tag-empleabilidad", "name": "empleabilidad-colombia" } ], "triggerCount": 0, "updatedAt": "2024-01-01T00:00:00.000Z", "versionId": "v1" }