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visor/flows.json

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[
{
"id": "ae9e82a0a0e1eb89",
"type": "tab",
"label": "Cálculos de H3",
"disabled": false,
"info": "",
"env": []
},
{
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"type": "tab",
"label": "Grafíco",
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"info": "",
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},
{
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"info": "",
"env": []
},
{
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},
{
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"port": 5432,
"portFieldType": "num",
"database": "postgres",
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"ssl": "false",
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"max": "500",
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"idle": "100000",
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"connectionTimeoutFieldType": "num",
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},
{
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},
{
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{
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"icon": "home",
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"breakpoints": [
{
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"cols": "3"
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{
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{
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{
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}
],
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"className": "",
"visible": true,
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},
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{
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"type": "inject",
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"name": "Definimos el nivel 8",
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{
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"func": "// Node-RED Function Node Script\n// Genera tabla de hexágonos recorribles según velocidad y tiempo\n\n// Obtener parámetros de entrada\nconst nivel_hexagono = msg.nivel_hexagono || 8; // nivel H3 por defecto\nconst velocidad_min = msg.velocidad_min || 10; // km/h mínima\nconst velocidad_max = msg.velocidad_max || 30; // km/h máxima \nconst tiempo_minutos = msg.tiempo_minutos || 20; // minutos disponibles\n\nlet h3 = h3Js\n\n// Validar que tenemos las librerías necesarias\nif (typeof h3 === 'undefined') {\n node.error(\"H3 library not available\");\n return null;\n}\n\ntry {\n // Calcular longitud del lado del hexágono en metros\n const longitud_lado = h3.getHexagonEdgeLengthAvg(nivel_hexagono, 'm');\n\n // Convertir velocidades de km/h a m/s\n const velocidad_min_ms = (velocidad_min * 1000) / 3600;\n const velocidad_max_ms = (velocidad_max * 1000) / 3600;\n\n // Convertir tiempo de minutos a segundos\n const tiempo_segundos = tiempo_minutos * 60;\n\n // Calcular distancias máximas recorribles\n const distancia_min = velocidad_min_ms * tiempo_segundos;\n const distancia_max = velocidad_max_ms * tiempo_segundos;\n\n // Calcular número de hexágonos en cada dirección\n const hexagonos_min = Math.floor(distancia_min / longitud_lado);\n const hexagonos_max = Math.floor(distancia_max / longitud_lado);\n\n // Generar tabla de resultados\n const tabla_resultados = [];\n\n for (let num_hexagonos = hexagonos_min; num_hexagonos <= hexagonos_max; num_hexagonos++) {\n const distancia_recorrida = num_hexagonos * longitud_lado;\n const velocidad_requerida = (distancia_recorrida / tiempo_segundos) * 3.6; // Convertir a km/h\n\n tabla_resultados.push({\n num_hexagonos: num_hexagonos,\n distancia_metros: Math.round(distancia_recorrida),\n distancia_km: (distancia_recorrida / 1000).toFixed(2),\n velocidad_requerida_kmh: velocidad_requerida.toFixed(2),\n nivel_h3: nivel_hexagono,\n lado_hexagono_m: Math.round(longitud_lado)\n });\n }\n\n // Preparar mensaje de salida\n msg.payload = {\n parametros: {\n nivel_hexagono: nivel_hexagono,\n velocidad_min_kmh: velocidad_min,\n velocidad_max_kmh: velocidad_max,\n tiempo_minutos: tiempo_minutos,\n lado_hexagono_metros: Math.round(longitud_lado)\n },\n tabla: tabla_resultados,\n resumen: {\n hexagonos_minimos: hexagonos_min,\n hexagonos_maximos: hexagonos_max,\n rango_hexagonos: `${hexagonos_min} - ${hexagonos_max}`,\n distancia_minima_km: (hexagonos_min * longitud_lado / 1000).toFixed(2),\n distancia_maxima_km: (hexagonos_max * longitud_lado / 1000).toFixed(2)\n }\n };\n\n // Agregar información adicional para debugging\n msg.hexagonInfo = {\n nivel: nivel_hexagono,\n longitud_lado: longitud_lado\n };\n\n return msg;\n\n} catch (error) {\n node.error(\"Error processing hexagon data: \" + error.message);\n msg.error = error.message;\n return msg;\n}",
"outputs": 1,
"timeout": 0,
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [
{
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"module": "h3-js"
}
],
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"type": "comment",
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"name": "Cálculo de la tabla de recorrido para la grua",
"info": "",
"x": 210,
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"wires": []
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{
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"name": "Definimos el nivel 7",
"props": [
{
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},
{
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"v": "7",
"vt": "num"
}
],
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"payloadType": "date",
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"name": "Definimos el nivel 9",
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}
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"lat": "",
"lon": "",
"zoom": "",
"layer": "",
"cluster": "",
"maxage": "",
"usermenu": "show",
"layers": "show",
"panit": "false",
"panlock": "false",
"zoomlock": "false",
"hiderightclick": "false",
"coords": "false",
"showgrid": "false",
"showruler": "false",
"allowFileDrop": "false",
"path": "/worldmap",
"overlist": "DR,CO,RA,DN",
"maplist": "OSMG,OSMC,EsriC,EsriS,UKOS",
"mapname": "",
"mapurl": "",
"mapopt": "",
"mapwms": false,
"x": 440,
"y": 280,
"wires": []
},
{
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"type": "inject",
"z": "f511dd2230a153e7",
"name": "Mover mapa",
"props": [
{
"p": "payload.command",
"v": "{\"lat\":\"40.40684\",\"lon\":\"-3.5711476\"}",
"vt": "json"
}
],
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"name": "Zoom",
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],
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{
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"name": "House",
"props": [
{
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}
],
"repeat": "",
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"onceDelay": 0.1,
"topic": "",
"payload": "{\"name\":\"Casa\",\"icon\":\"home\",\"lat\":\"40.40412499978462\",\"lon\":\"-3.5643343002563848\"}",
"payloadType": "json",
"x": 270,
"y": 320,
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{
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"name": "",
"path": "/worldmap",
"events": "connect,disconnect,point,layer,bounds,files,draw,other",
"x": 460,
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},
{
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"type": "postgresql",
"z": "f511dd2230a153e7",
"name": "Creación de la tabla de servicios_geo",
"query": "SELECT id_servicio,\n ST_AsGeoJSON(geom)::json AS geom\nFROM servicios_geo;",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
"outputs": 1,
"x": 390,
"y": 60,
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},
{
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],
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"payloadType": "date",
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"statusType": "auto",
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},
{
"id": "b34c1a218cd45651",
"type": "postgresql",
"z": "f511dd2230a153e7",
"name": "Consulta h3",
"query": "SELECT h3_lat_lng_to_cell(POINT('37.7749, -122.4194'), 9) AS h3_index;",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
"outputs": 1,
"x": 290,
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},
{
"id": "b6be2c6139d939f0",
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"z": "f511dd2230a153e7",
"name": "Consultar solo 500",
"query": "SELECT id_servicio,\n ST_AsGeoJSON(geom)::json AS geom\nFROM servicios_geo\nORDER BY id_servicio\nLIMIT 500",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
"outputs": 1,
"x": 410,
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},
{
"id": "9fbe677b4f48e523",
"type": "postgresql",
"z": "f511dd2230a153e7",
"name": "Hablitar extension h3",
"query": "CREATE EXTENSION h3;",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
"outputs": 1,
"x": 540,
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},
{
"id": "2af33006f75c5667",
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"z": "f511dd2230a153e7",
"name": "Consulta h3",
"query": "SELECT h3_lat_lng_to_cell(\n point(ST_X(geom), ST_Y(geom)), -- lon, lat\n 7\n ) AS h3,\n COUNT(*) AS total\nFROM servicios_geo\nGROUP BY h3\nORDER BY total DESC;\n",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
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},
{
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"type": "postgresql",
"z": "f511dd2230a153e7",
"name": "Consulta h3",
"query": "SELECT h3_lat_lng_to_cell(\n point(ST_Y(geom), ST_X(geom)), -- lat, lon\n 7\n ) AS h3,\n COUNT(*) AS total\nFROM servicios_geo\nGROUP BY h3\nORDER BY total DESC;",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
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"outputs": 1,
"x": 310,
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"wires": [
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},
{
"id": "1b3c9cf08f33d013",
"type": "postgresql",
"z": "f511dd2230a153e7",
"name": "Consulta h3 con geojson",
"query": "SELECT \n h3_lat_lng_to_cell(point(ST_Y(geom), ST_X(geom)), 8) AS h3,\n COUNT(*) AS total\nFROM servicios_geo\nGROUP BY h3;",
"postgreSQLConfig": "748b5921246ec468",
"split": false,
"rowsPerMsg": 1,
"outputs": 1,
"x": 350,
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"wires": [
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},
{
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],
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},
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{
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"zoom": "9",
"layer": "OSMC",
"cluster": "",
"maxage": "",
"usermenu": "show",
"layers": "show",
"panit": "false",
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"zoomlock": "false",
"hiderightclick": "false",
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"showruler": "false",
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"path": "/worldmap",
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"x": 700,
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{
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"func": "// NODE-RED FUNCTION: Visualizar H3 con predicciones y grúas\nconst h3 = h3Js; // Asegúrate de que h3Js está cargado globalmente\n\n// Validar librerías\nif (typeof h3 === 'undefined') {\n node.error(\"H3 library not available\");\n return null;\n}\n\nconst payload = msg.payload;\n\n// Extraer datos del payload de tu API\nconst week = payload.semana || 0;\nconst dow = payload.dia_semana || 0;\nconst hour = payload.hora || 0;\nconst recommendedH3 = payload.h3_recomendados || [];\nconst statistics = payload.estadisticas || [];\nconst coverage = payload.cobertura || {};\nconst predictionData = payload.datos_prediccion || []; // Si tienes datos de predicción por celda\n\n// Si no hay datos de predicción, podemos generarlos a partir de statistics\nlet allH3Data = [];\nif (predictionData.length > 0) {\n // Si la API ya devuelve datos por celda\n allH3Data = predictionData;\n} else if (statistics.length > 0) {\n // Crear datos a partir de statistics (solo celdas con grúas)\n allH3Data = statistics.map(stat => ({\n h3: stat.h3,\n expected_demand: stat.expected_demand,\n nulo_probability: stat.nulo_probability,\n risk: stat.risk,\n coverage_radius: stat.coverage_radius,\n is_grua: true\n }));\n}\n\nconst features = [];\n\n// --- FUNCIÓN PARA GRADIENTE DE COLOR SEGÚN PROBABILIDAD DE NULO ---\nfunction getNuloGradientColor(nuloProbability) {\n // Asegurar que el valor esté entre 0 y 1\n let pct = Math.max(0, Math.min(1, nuloProbability));\n\n // Gradiente de verde (0) a rojo (1)\n const red = Math.floor(255 * pct); // Aumenta con la probabilidad\n const green = Math.floor(255 * (1 - pct)); // Disminuye con la probabilidad\n const blue = 0; // Sin componente azul\n\n return `rgb(${red}, ${green}, ${blue})`;\n}\n\n// --- FUNCIÓN PARA CREAR CÍRCULO GEOJSON ---\nfunction createCircle(center, radiusInKm, points = 32) {\n const coords = [];\n const [lat, lng] = center;\n\n // Radio de la Tierra en kilómetros\n const earthRadius = 6371;\n\n // Convertir radio de kilómetros a radianes\n const radiusRad = radiusInKm / earthRadius;\n\n for (let i = 0; i < points; i++) {\n const angle = (i * 2 * Math.PI) / points;\n\n // Coordenadas del punto en el círculo\n const circleLat = Math.asin(\n Math.sin(lat * Math.PI / 180) * Math.cos(radiusRad) +\n Math.cos(lat * Math.PI / 180) * Math.sin(radiusRad) * Math.cos(angle)\n ) * 180 / Math.PI;\n\n const circleLng = lng + Math.atan2(\n Math.sin(angle) * Math.sin(radiusRad) * Math.cos(lat * Math.PI / 180),\n Math.cos(radiusRad) - Math.sin(lat * Math.PI / 180) * Math.sin(circleLat * Math.PI / 180)\n ) * 180 / Math.PI;\n\n coords.push([circleLng, circleLat]);\n }\n\n // Cerrar el polígono\n coords.push(coords[0]);\n\n return coords;\n}\n\n// --- COLORES PARA GRÚAS ---\nfunction getGruaColor(index) {\n const colors = [\"#0000ff\", \"#ff00ff\", \"#00ffff\", \"#800080\", \"#008000\", \"#800000\"];\n return colors[index % colors.length];\n}\n\n// 1. Primero, pintar todas las celdas H3 con predicciones\nallH3Data.forEach((item, idx) => {\n const h3Index = item.h3;\n const risk = parseFloat(item.risk || 0);\n const demand = parseFloat(item.expected_demand || 0);\n const nuloProb = parseFloat(item.nulo_probability || 0);\n const isGrua = item.is_grua || false;\n const coverageRadius = item.coverage_radius || 0;\n\n try {\n const hexBoundary = h3.cellToBoundary(h3Index, true);\n const center = h3.cellToLatLng(h3Index);\n\n // Determinar color con gradiente basado en probabilidad de nulo\n const fillColor = getNuloGradientColor(nuloProb);\n\n // Opacidad variable según probabilidad de nulo (más opaco para alta probabilidad)\n const fillOpacity = isGrua ? 0.8 : (0.3 + (nuloProb * 0.5));\n\n // Ancho de borde diferente para grúas\n const strokeWidth = isGrua ? 3 : 1;\n const strokeColor = isGrua ? \"#000000\" :\n nuloProb > 0.5 ? \"#222222\" : \"#555555\";\n\n // Texto para tooltip\n let tooltip = `H3: ${h3Index}`;\n tooltip += ` Demanda: ${demand.toFixed(2)}`;\n tooltip += ` Prob. Nulo: ${(nuloProb * 100).toFixed(1)}%`;\n tooltip += ` Riesgo: ${risk.toFixed(3)}`;\n if (isGrua) {\n tooltip += `\\\\n🚨 GRÚA (Radio: ${coverageRadius} celdas)`;\n }\n\n const feature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"h3\": h3Index,\n \"risk\": risk,\n \"demand\": demand,\n \"nulo_probability\": nuloProb,\n \"nulo_percentage\": (nuloProb * 100).toFixed(1),\n \"coverage_radius\": coverageRadius,\n \"is_grua\": isGrua,\n \"name\": tooltip,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO\n \"fill\": fillColor,\n \"fill-opacity\": fillOpacity,\n \"stroke\": strokeColor,\n \"stroke-width\": strokeWidth,\n \"stroke-opacity\": 0.9,\n\n // Metadata adicional para leyenda\n \"marker-type\": isGrua ? \"grua\" : \"prediction\",\n \"color_intensity\": nuloProb,\n \"color_category\": nuloProb < 0.25 ? \"bajo\" :\n nuloProb < 0.5 ? \"medio-bajo\" :\n nuloProb < 0.75 ? \"medio-alto\" : \"alto\"\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [hexBoundary]\n }\n };\n\n features.push(feature);\n\n } catch (error) {\n node.warn(`Error procesando H3 index ${h3Index}: ${error}`);\n }\n});\n\n// 2. Añadir áreas de cobertura de las grúas como círculos\nstatistics.forEach((grua, gruaIndex) => {\n try {\n const h3Index = grua.h3;\n const radius = grua.coverage_radius || 12;\n const cellsCovered = grua.cells_covered || 0;\n const nuloProb = parseFloat(grua.nulo_probability || 0);\n\n const center = h3.cellToLatLng(h3Index);\n\n // Calcular radio aproximado en kilómetros\n // Nota: El radio en H3 es en número de celdas, no en km\n // Para convertir a km, necesitamos la resolución de las celdas\n // Asumimos resolución 9 (aprox 0.1 km² por celda)\n const cellAreaKm2 = 0.2; // Área aproximada de celda H3 res 9 en km²\n const cellDiameterKm = Math.sqrt(cellAreaKm2) * 2; // Diámetro aproximado en km\n const radiusKm = radius * cellDiameterKm;\n\n // Crear círculo para el área de cobertura\n const circleCoords = createCircle(center, radiusKm, 64);\n\n // Color para esta grúa\n const gruaColor = getGruaColor(gruaIndex);\n\n // Crear feature para el área de cobertura (círculo)\n const coverageFeature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `Área cobertura Grúa ${gruaIndex + 1}`,\n \"description\": `Radio: ${radius}<br> celdas (≈${radiusKm.toFixed(1)} km)<br>` +\n `Celdas cubiertas: ${cellsCovered}<br>` +\n `Prob. Nulo: ${(nuloProb * 100).toFixed(1)}%`,\n \"grua_h3\": h3Index,\n \"grua_index\": gruaIndex + 1,\n \"radius_cells\": radius,\n \"radius_km\": radiusKm.toFixed(1),\n \"cells_covered\": cellsCovered,\n \"risk_covered\": grua.risk_covered || 0,\n \"lat\": center[0],\n \"lon\": center[1],\n \"grua_color\": gruaColor,\n\n // ESTILO (semi-transparente)\n \"fill\": gruaColor,\n \"fill-opacity\": 0.15,\n \"stroke\": gruaColor,\n \"stroke-width\": 3,\n \"stroke-opacity\": 0.6,\n \"stroke-dasharray\": \"5,5\", // Línea punteada para mejor visibilidad\n \"marker-type\": \"coverage_area\"\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [circleCoords]\n }\n };\n\n features.push(coverageFeature);\n\n // Añadir marcador para la grúa en el centro\n const gruaMarker = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `🚨 Grúa ${gruaIndex + 1}`,\n \"description\": `<br>Prob. Nulo: ${(nuloProb * 100).toFixed(1)}%<br>` +\n `Demanda: ${grua.expected_demand?.toFixed(2) || 0}<br>` +\n `Radio: ${radius} celdas (≈${radiusKm.toFixed(1)} km)<br>` +\n `Celdas cubiertas: ${cellsCovered}`,\n \"grua_index\": gruaIndex + 1,\n \"grua_color\": gruaColor,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO para marcador\n \"marker-color\": gruaColor,\n \"marker-size\": \"large\",\n \"marker-symbol\": \"truck\",\n \"marker-type\": \"grua_center\"\n },\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [center[1], center[0]]\n }\n };\n\n features.push(gruaMarker);\n\n } catch (error) {\n node.warn(`Error procesando área de cobertura para grúa ${grua.h3}: ${error}`);\n }\n});\n\n// 3. Añadir información general como feature\nconst infoFeature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": \"Información del Análisis\",\n \"description\": `Semana: ${week} Día: ${dow} Hora: ${hour}<br>` +\n `Cobertura: ${coverage.coverage_percentage?.toFixed(2) || 0}%<br>` +\n `Riesgo cubierto: ${coverage.risk_coverage_percentage?.toFixed(2) || 0}%<br>` +\n `Grúas recomendadas: ${recommendedH3.length}<br>` +\n `🎨 Colores: Gradiente por probabilidad de nulo<br>` +\n `⭕ Círculos: Áreas de cobertura de grúas`,\n \"marker-type\": \"info\",\n \"marker-color\": \"#333333\",\n \"marker-symbol\": \"info\"\n },\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [-3.7038, 40.4168] // Madrid como referencia\n }\n};\n\nfeatures.push(infoFeature);\n\n// FeatureCollection final\nmsg.payload = {\n \"type\": \"FeatureCollection\",\n \"features\": features,\n \"metadata\": {\n \"week\": week,\n \"dow\": dow,\n \"hour\": hour,\n \"total_gruas\": recommendedH3.length,\n \"coverage_percentage\": coverage.coverage_percentage || 0,\n \"risk_coverage_percentage\": coverage.risk_coverage_percentage || 0,\n \"total_cells\": coverage.total_cells || 0,\n \"cells_covered\": coverage.cells_covered || 0,\n \"color_schema\": \"nulo_probability_gradient\",\n \"gradient_min\": \"#00ff00\", // Verde\n \"gradient_max\": \"#ff0000\", // Rojo\n \"color_explanation\": \"Verde (0% nulo) → Rojo (100% nulo)\"\n },\n \"layer\": \"H3\"\n};\n\nreturn msg;",
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"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "trafico",
"pt": "flow",
"to": "payload",
"tot": "msg"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 700,
"y": 300,
"wires": [
[]
]
},
{
"id": "8afe796111cb8c8d",
"type": "switch",
"z": "56fb69eb622c3f3b",
"name": "opcion",
"property": "opcion",
"propertyType": "flow",
"rules": [
{
"t": "eq",
"v": "gruas",
"vt": "str"
},
{
"t": "eq",
"v": "optimo",
"vt": "str"
},
{
"t": "else"
}
],
"checkall": "true",
"repair": false,
"outputs": 3,
"x": 90,
"y": 780,
"wires": [
[
"16926b851536025d"
],
[
"9c6f7af87438a4bd"
],
[
"ec90eeee993b765a"
]
]
},
{
"id": "447113b576ecfcba",
"type": "ui-notification",
"z": "56fb69eb622c3f3b",
"ui": "3afa9de4406d30d8",
"position": "top right",
"colorDefault": true,
"color": "#000000",
"displayTime": "10",
"showCountdown": true,
"outputs": 1,
"allowDismiss": true,
"dismissText": "Cerrar",
"allowConfirm": true,
"confirmText": "Aceptar",
"raw": false,
"className": "",
"name": "",
"x": 630,
"y": 880,
"wires": [
[]
]
},
{
"id": "fa837f38ed1dbc1e",
"type": "function",
"z": "56fb69eb622c3f3b",
"name": "Calculamos la fecha",
"func": "let fecha = new Date(flow.get(\"calendario\"));\n\nif (isNaN(fecha.getTime())) {\n node.error(\"Fecha inválida\", msg);\n return null;\n}\n\nconst firstDayOfYear = new Date(fecha.getFullYear(), 0, 1);\n// @ts-ignore\nconst pastDaysOfYear = (fecha - firstDayOfYear) / 86400000;\nconst week = Math.ceil((pastDaysOfYear + firstDayOfYear.getDay() + 1) / 7);\n\nconst dow = fecha.getDay();\n\nconst hour = fecha.getHours();\n\nmsg.payload = { week, dow, hour };\nreturn msg;",
"outputs": 1,
"timeout": 0,
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 300,
"y": 520,
"wires": [
[
"8afe796111cb8c8d"
]
]
},
{
"id": "ec90eeee993b765a",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "Es necesario indicar que calculo se necesita si por cobertura o por número de gruas.",
"tot": "str"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 340,
"y": 880,
"wires": [
[
"447113b576ecfcba"
]
]
},
{
"id": "9c6f7af87438a4bd",
"type": "switch",
"z": "56fb69eb622c3f3b",
"name": "cobertura",
"property": "cobertura",
"propertyType": "flow",
"rules": [
{
"t": "istype",
"v": "number",
"vt": "number"
},
{
"t": "else"
}
],
"checkall": "true",
"repair": false,
"outputs": 2,
"x": 260,
"y": 780,
"wires": [
[
"91d413e80d8139af"
],
[
"9af49346793df573"
]
]
},
{
"id": "9af49346793df573",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "Es necesario indicar la cobertura requerida",
"tot": "str"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 460,
"y": 820,
"wires": [
[
"447113b576ecfcba"
]
]
},
{
"id": "11b08389769a3a9f",
"type": "http request",
"z": "56fb69eb622c3f3b",
"name": "",
"method": "GET",
"ret": "obj",
"paytoqs": "ignore",
"url": "",
"tls": "",
"persist": false,
"proxy": "",
"insecureHTTPParser": false,
"authType": "",
"senderr": false,
"headers": [],
"x": 870,
"y": 760,
"wires": [
[
"c1552a91a92da199"
]
]
},
{
"id": "91d413e80d8139af",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "url",
"pt": "msg",
"to": "\"http://python:5000/recommend?week=\" & payload.week &\t\"&dow=\" & payload.dow &\t\"&hour=\" & payload.hour &\t\"&traffic=\" & $flowContext(\"trafico\") &\t\"&optimize=true&include_cell_data=true&min_gruas=1&max_gruas=\" & $flowContext(\"gruas\") &\t\"&target_coverage=\" & $flowContext(\"cobertura\")",
"tot": "jsonata"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 690,
"y": 760,
"wires": [
[
"11b08389769a3a9f"
]
]
},
{
"id": "c1552a91a92da199",
"type": "link out",
"z": "56fb69eb622c3f3b",
"name": "link out 2",
"mode": "link",
"links": [
"32e2494f462cc6f4",
"68707cddaa9512b9"
],
"x": 1055,
"y": 620,
"wires": []
},
{
"id": "16926b851536025d",
"type": "switch",
"z": "56fb69eb622c3f3b",
"name": "gruas",
"property": "gruas",
"propertyType": "flow",
"rules": [
{
"t": "istype",
"v": "number",
"vt": "number"
},
{
"t": "else"
}
],
"checkall": "true",
"repair": false,
"outputs": 2,
"x": 250,
"y": 680,
"wires": [
[
"dcd489d1ae63d998"
],
[
"1cd6a1eb10de5864"
]
]
},
{
"id": "1cd6a1eb10de5864",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "Es necesario indicar las gruas disponibles",
"tot": "str"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 460,
"y": 720,
"wires": [
[
"447113b576ecfcba"
]
]
},
{
"id": "dcd489d1ae63d998",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "url",
"pt": "msg",
"to": "\"http://python:5000/recommend?week=\" & payload.week &\t\"&dow=\" & payload.dow &\t\"&hour=\" & payload.hour &\t\"&traffic=\" & $flowContext(\"trafico\") &\t\"&optimize=false&include_cell_data=true&k=\" & $flowContext(\"gruas\")",
"tot": "jsonata"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 690,
"y": 660,
"wires": [
[
"2e7fc0d864b209e7"
]
]
},
{
"id": "2e7fc0d864b209e7",
"type": "http request",
"z": "56fb69eb622c3f3b",
"name": "",
"method": "GET",
"ret": "obj",
"paytoqs": "ignore",
"url": "",
"tls": "",
"persist": false,
"proxy": "",
"insecureHTTPParser": false,
"authType": "",
"senderr": false,
"headers": [],
"x": 870,
"y": 660,
"wires": [
[
"c1552a91a92da199"
]
]
},
{
"id": "4de317cc487a47c6",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "\"<b>Resultados:</b><br><br>\" & \"Riesgo cubierto: \" & payload.cobertura.risk_coverage_percentage &\t \" %<br>\" & \"Cobertura total: \" & payload.cobertura.coverage_percentage &\t \" %\"",
"tot": "jsonata"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 360,
"y": 420,
"wires": [
[
"ebf80c2abc415017"
]
]
},
{
"id": "68707cddaa9512b9",
"type": "link in",
"z": "56fb69eb622c3f3b",
"name": "link in 2",
"links": [
"c1552a91a92da199"
],
"x": 215,
"y": 420,
"wires": [
[
"4de317cc487a47c6"
]
]
},
{
"id": "c2fd67bee1b6e31f",
"type": "switch",
"z": "56fb69eb622c3f3b",
"name": "Limpiamos tráfico",
"property": "payload",
"propertyType": "msg",
"rules": [
{
"t": "eq",
"v": "0",
"vt": "num"
},
{
"t": "else"
}
],
"checkall": "true",
"repair": false,
"outputs": 2,
"x": 470,
"y": 280,
"wires": [
[
"ea73de854d597030"
],
[
"5eedba05f8e677de"
]
]
},
{
"id": "ea73de854d597030",
"type": "change",
"z": "56fb69eb622c3f3b",
"name": "",
"rules": [
{
"t": "delete",
"p": "trafico",
"pt": "flow"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 690,
"y": 260,
"wires": [
[]
]
}
]
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