This workflow follows the HTTP Request → Supabase recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Sistema Monitoreo Fatiga Operadores",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 3
}
]
}
},
"id": "cron-trigger",
"name": "Programador Ejecuci\u00f3n",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1,
"position": [
240,
300
]
},
{
"parameters": {
"url": "={{ $vars.API_DISPOSITIVOS_URL }}",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $vars.API_DISPOSITIVOS_TOKEN }}"
}
]
},
"options": {
"timeout": 30000
}
},
"id": "ingesta-datos",
"name": "Ingesta Datos Dispositivos",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
460,
300
]
},
{
"parameters": {
"mode": "runOnceForAllItems",
"jsCode": "const datos = $input.all();\nconst datosLimpios = [];\n\nfor (const item of datos) {\n const datosRaw = item.json;\n \n let datosNormalizados = {};\n \n if (datosRaw.device_type === 'smartwatch') {\n datosNormalizados = {\n dispositivo_id: datosRaw.device_id,\n timestamp: new Date(datosRaw.timestamp),\n hrv: datosRaw.hrv || null,\n spo2: datosRaw.blood_oxygen || datosRaw.spo2 || null,\n frecuencia_cardiaca: datosRaw.heart_rate || null,\n temperatura_piel: datosRaw.skin_temperature || null,\n sueno_duracion: datosRaw.sleep_duration || null,\n sueno_profundo: datosRaw.deep_sleep || null,\n pasos: datosRaw.steps || null,\n calorias: datosRaw.calories || null\n };\n } else if (datosRaw.device_type === 'banda_antifatiga') {\n datosNormalizados = {\n dispositivo_id: datosRaw.device_id,\n timestamp: new Date(datosRaw.timestamp),\n postura_angulo: datosRaw.posture_angle || null,\n actividad_muscular: datosRaw.muscle_activity || null,\n movimientos_anomalos: datosRaw.abnormal_movements || 0,\n micro_suenos: datosRaw.micro_sleeps || 0\n };\n }\n \n Object.keys(datosNormalizados).forEach(key => {\n if (typeof datosNormalizados[key] === 'number') {\n if (key === 'hrv' && (datosNormalizados[key] < 0 || datosNormalizados[key] > 200)) {\n datosNormalizados[key] = null;\n }\n if (key === 'spo2' && (datosNormalizados[key] < 70 || datosNormalizados[key] > 100)) {\n datosNormalizados[key] = null;\n }\n if (key === 'frecuencia_cardiaca' && (datosNormalizados[key] < 40 || datosNormalizados[key] > 200)) {\n datosNormalizados[key] = null;\n }\n }\n });\n \n datosLimpios.push(datosNormalizados);\n}\n\nreturn datosLimpios;"
},
"id": "limpieza-datos",
"name": "Limpieza y Estandarizaci\u00f3n",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
680,
300
]
},
{
"parameters": {
"mode": "runOnceForAllItems",
"jsCode": "const cleanedData = $input.all();\nconst enrichedData = [];\n\nconst deviceOperatorMap = {\n 'sw_001': { id: 1, nombre: 'Juan', turno: 'dia', maquina: 'excavadora' },\n 'sw_002': { id: 2, nombre: 'Mar\u00eda', turno: 'noche', maquina: 'gr\u00faa' },\n 'bf_001': { id: 1, nombre: 'Juan', turno: 'dia', maquina: 'excavadora' },\n 'bf_002': { id: 2, nombre: 'Mar\u00eda', turno: 'noche', maquina: 'gr\u00faa' }\n};\n\nfor (const item of cleanedData) {\n const operatorInfo = deviceOperatorMap[item.json.dispositivo_id];\n \n if (operatorInfo) {\n const now = new Date();\n const hour = now.getHours();\n let horasTurno = 0;\n \n if (operatorInfo.turno === 'dia') {\n horasTurno = hour >= 6 && hour < 18 ? hour - 6 : 0;\n } else if (operatorInfo.turno === 'noche') {\n horasTurno = hour >= 18 || hour < 6 ? (hour >= 18 ? hour - 18 : hour + 6) : 0;\n }\n \n enrichedData.push({\n ...item.json,\n id_operador: operatorInfo.id,\n nombre_operador: operatorInfo.nombre,\n tipo_maquina: operatorInfo.maquina,\n turno_trabajo: operatorInfo.turno,\n horas_turno: horasTurno,\n condiciones_climaticas: {\n temperatura: 22.5,\n humedad: 65,\n condiciones: 'parcialmente_nublado'\n },\n timestamp_contexto: new Date()\n });\n }\n}\n\nreturn enrichedData;"
},
"id": "contexto-operativo",
"name": "Agregar Contexto Operativo",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
900,
300
]
},
{
"parameters": {
"mode": "runOnceForAllItems",
"jsCode": "const datosCompletos = $input.all();\nconst predicciones = [];\n\nfunction calcularIndiceFatiga(datos) {\n let indice = 50;\n \n if (datos.hrv) {\n const factorHRV = Math.max(0, (60 - datos.hrv) / 60 * 40);\n indice += factorHRV;\n }\n \n if (datos.spo2 && datos.spo2 < 95) {\n indice += (95 - datos.spo2) * 2;\n }\n \n if (datos.postura_angulo && Math.abs(datos.postura_angulo) > 30) {\n indice += 20;\n }\n \n if (datos.micro_suenos) {\n indice += datos.micro_suenos * 10;\n }\n \n if (datos.movimientos_anomalos) {\n indice += datos.movimientos_anomalos * 5;\n }\n \n if (datos.turno_trabajo === 'noche') {\n indice += 15;\n }\n \n if (datos.horas_turno > 8) {\n indice += (datos.horas_turno - 8) * 2;\n }\n \n return Math.max(0, Math.min(100, Math.round(indice * 100) / 100));\n}\n\nfunction clasificarRiesgo(indice) {\n if (indice < 30) return 'bajo';\n if (indice < 60) return 'medio';\n if (indice < 80) return 'alto';\n return 'critico';\n}\n\nfor (const item of datosCompletos) {\n const indiceFatiga = calcularIndiceFatiga(item.json);\n const clasificacion = clasificarRiesgo(indiceFatiga);\n \n predicciones.push({\n ...item.json,\n indice_fatiga: indiceFatiga,\n clasificacion_riesgo: clasificacion,\n timestamp_prediccion: new Date()\n });\n}\n\nreturn predicciones;"
},
"id": "modelo-ml",
"name": "Modelo ML - Predicci\u00f3n Fatiga",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1120,
300
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "indice-fatiga-alto",
"leftValue": "={{ $json.indice_fatiga }}",
"rightValue": "60",
"operator": {
"type": "number",
"operation": "largerEqual"
}
}
],
"combinator": "or"
}
},
"id": "logica-alertas",
"name": "L\u00f3gica de Alertas",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1340,
240
]
},
{
"parameters": {
"operation": "insert",
"tableId": "alertas",
"options": {
"returning": "representation"
}
},
"id": "crear-alerta",
"name": "Crear Alerta en BD",
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
1560,
180
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "={{ $vars.STREAMLIT_WEBHOOK_URL }}/api/alertas",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $vars.STREAMLIT_WEBHOOK_TOKEN }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "operador_id",
"value": "={{ $json.id_operador }}"
},
{
"name": "indice_fatiga",
"value": "={{ $json.indice_fatiga }}"
},
{
"name": "nivel_alerta",
"value": "={{ $json.clasificacion_riesgo }}"
},
{
"name": "timestamp",
"value": "={{ $json.timestamp }}"
}
]
},
"options": {
"timeout": 5000
}
},
"id": "notificar-frontend",
"name": "Notificar Frontend Streamlit",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
1560,
300
]
},
{
"parameters": {
"operation": "insert",
"tableId": "metricas_procesadas",
"options": {
"returning": "representation"
}
},
"id": "guardar-metricas",
"name": "Guardar M\u00e9tricas Procesadas",
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
1340,
420
],
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Programador Ejecuci\u00f3n": {
"main": [
[
{
"node": "Ingesta Datos Dispositivos",
"type": "main",
"index": 0
}
]
]
},
"Ingesta Datos Dispositivos": {
"main": [
[
{
"node": "Limpieza y Estandarizaci\u00f3n",
"type": "main",
"index": 0
}
]
]
},
"Limpieza y Estandarizaci\u00f3n": {
"main": [
[
{
"node": "Agregar Contexto Operativo",
"type": "main",
"index": 0
}
]
]
},
"Agregar Contexto Operativo": {
"main": [
[
{
"node": "Modelo ML - Predicci\u00f3n Fatiga",
"type": "main",
"index": 0
}
]
]
},
"Modelo ML - Predicci\u00f3n Fatiga": {
"main": [
[
{
"node": "L\u00f3gica de Alertas",
"type": "main",
"index": 0
},
{
"node": "Guardar M\u00e9tricas Procesadas",
"type": "main",
"index": 0
}
]
]
},
"L\u00f3gica de Alertas": {
"main": [
[
{
"node": "Crear Alerta en BD",
"type": "main",
"index": 0
},
{
"node": "Notificar Frontend Streamlit",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"tags": [],
"triggerCount": 1,
"updatedAt": "2025-11-11T00:00:00.000Z",
"versionId": "1"
}
Credentials you'll need
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supabaseApi
Pro
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About this workflow
Sistema Monitoreo Fatiga Operadores. Uses httpRequest, supabase. Scheduled trigger; 9 nodes.
Source: https://github.com/Alexxxxpur/Sistemas-de-Gestion-de-Fatiga--Claude-ZAI-DeepSeek--Lab12/blob/e730f8e59060658404b9c477625a377f6983c83c/deepseek/n8n/workflow.json — original creator credit. Request a take-down →
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