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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 = 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Validar que tenemos las librerías necesarias\nif (typeof h3 === 'undefined') {\n node.error(\"H3 library not available\");\n return null;\n}\n\nconst payload = msg.payload;\n\n// Obtener el total máximo para calcular el porcentaje\nconst maxTotal = Math.max(...payload.map(i => parseFloat(i.total)));\n\nconst features = [];\n\n// --- COLORES SEGÚN PORCENTAJE ---\nfunction getFillColor(pct) {\n if (pct <= 25) return \"#00ff00\"; // verde\n if (pct <= 50) return \"#ffff00\"; // amarillo\n if (pct <= 75) return \"#ffa500\"; // naranja\n return \"#ff0000\"; // rojo\n}\n\npayload.forEach(item => {\n const h3Index = item.h3;\n const total = parseFloat(item.total);\n\n try {\n const hexBoundary = h3.cellToBoundary(h3Index, true);\n const center = h3.cellToLatLng(h3Index);\n\n // Calcular porcentaje respecto al máximo\n const pct = maxTotal > 0 ? 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// verde\n if (total <= 50) return \"#ffff00\"; // amarillo\n if (total <= 100) return \"#ffa500\"; // naranja\n return \"#ff0000\"; // rojo\n}\n\nfunction getStrokeColor(total) {\n return \"#000000\"; // negro (puedes cambiarlo o hacerlo dinámico también)\n}\n\n// Recorrer cada elemento del array\npayload.forEach(item => {\n const h3Index = item.h3;\n const total = parseInt(item.total);\n\n try {\n // Obtener los vértices del hexágono H3\n const hexBoundary = h3.cellToBoundary(h3Index, true);\n\n // Obtener el centro del hexágono\n const center = h3.cellToLatLng(h3Index);\n\n // Colores dinámicos\n const fillColor = getFillColor(total);\n const strokeColor = getStrokeColor(total);\n\n // Crear feature GeoJSON con estilo\n const feature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"h3\": h3Index,\n \"total\": total,\n \"value\": total,\n \"name\": `H3: ${h3Index} - Total: ${total}`,\n \"resolution\": h3.getResolution(h3Index),\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ---- ESTILO AÑADIDO ----\n \"fill\": fillColor,\n \"fill-opacity\": 0.5, // ajustable\n \"stroke\": strokeColor,\n \"stroke-width\": 1, // ajustable\n \"stroke-opacity\": 0.9 // ajustable\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// Crear el GeoJSON completo\nconst geojson = {\n \"type\": \"FeatureCollection\",\n \"features\": features,\n \"Layer\": \"H3 Layer\"\n};\n\nmsg.payload = geojson;\nreturn msg;\n", "outputs": 1, "timeout": 0, "noerr": 0, "initialize": "", "finalize": "", "libs": [ { "var": "h3Js", "module": "h3-js" } ], "x": 210, "y": 760, "wires": [ [] ] }, { "id": "e66c124d5be0c92e", "type": "postgresql", "z": "f511dd2230a153e7", "name": "Consultar solo 500", "query": "SELECT *\nFROM servicios_geo\nWHERE tipo_servicio != 'Base'\nLIMIT 500;", "postgreSQLConfig": "748b5921246ec468", "split": false, "rowsPerMsg": 1, "outputs": 1, "x": 790, "y": 340, "wires": [ [ "95e107f031aca0fa" ] ] }, { "id": "b76d4632ea730780", "type": "inject", "z": "f511dd2230a153e7", "name": "", "props": [ { "p": "payload" }, { "p": "topic", "vt": "str" } ], "repeat": "", "crontab": "", "once": false, "onceDelay": 0.1, "topic": "", "payload": "", "payloadType": "date", "x": 610, "y": 340, "wires": [ [ "e66c124d5be0c92e" ] ] }, { "id": "95e107f031aca0fa", "type": "debug", "z": "f511dd2230a153e7", "name": "debug 3", "active": true, "tosidebar": true, "console": false, "tostatus": false, "complete": "true", "targetType": "full", "statusVal": "", "statusType": "auto", "x": 960, "y": 340, "wires": [] }, { "id": "b2c5c01b68565205", "type": "function", "z": "f511dd2230a153e7", "name": "Con colores por riesgo y demanda", "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.week || 0;\nconst dow = payload.dow || 0;\nconst hour = payload.hour || 0;\nconst recommendedH3 = payload.recommended_h3 || [];\nconst statistics = payload.statistics || [];\nconst coverage = payload.coverage || {};\nconst predictionData = payload.prediction_data || []; // 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// --- COLORES SEGÚN RIESGO ---\nfunction getRiskColor(risk, maxRisk) {\n if (maxRisk <= 0) return \"#00ff00\";\n\n const pct = (risk / maxRisk) * 100;\n\n if (pct <= 25) return \"#00ff00\"; // verde (bajo riesgo)\n if (pct <= 50) return \"#ffff00\"; // amarillo\n if (pct <= 75) return \"#ffa500\"; // naranja\n return \"#ff0000\"; // rojo (alto riesgo)\n}\n\n// --- COLORES SEGÚN DEMANDA ---\nfunction getDemandColor(demand) {\n if (demand < 2) return \"#00ff00\"; // verde (baja demanda)\n if (demand < 5) return \"#ffff00\"; // amarillo (media demanda)\n return \"#ff0000\"; // rojo (alta demanda)\n}\n\n// --- COLORES PARA GRÚAS ---\nfunction getGruaColor(index) {\n const colors = [\"#0000ff\", \"#ff00ff\", \"#00ffff\", \"#800080\"];\n return colors[index % colors.length];\n}\n\n// Calcular máximos para escalado de colores\nconst maxRisk = allH3Data.length > 0 ? Math.max(...allH3Data.map(i => parseFloat(i.risk || 0))) : 1;\nconst maxDemand = allH3Data.length > 0 ? Math.max(...allH3Data.map(i => parseFloat(i.expected_demand || 0))) : 1;\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 basado en riesgo\n const fillColor = getRiskColor(risk, maxRisk);\n\n // Opacidad diferente para grúas\n const fillOpacity = isGrua ? 0.8 : 0.4;\n\n // Ancho de borde diferente para grúas\n const strokeWidth = isGrua ? 3 : 1;\n const strokeColor = isGrua ? \"#000000\" : \"#333333\";\n\n // Texto para tooltip\n let tooltip = `H3: ${h3Index}`;\n tooltip += `\\\\nDemanda: ${demand.toFixed(2)}`;\n tooltip += `\\\\nProb. Nulo: ${(nuloProb * 100).toFixed(1)}%`;\n tooltip += `\\\\nRiesgo: ${risk.toFixed(3)}`;\n if (isGrua) {\n tooltip += `\\\\n🚨 GRÚA (Radio: ${coverageRadius})`;\n }\n\n const feature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"h3\": h3Index,\n \"risk\": risk,\n \"demand\": demand,\n \"nulo_probability\": nuloProb,\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\n \"marker-type\": isGrua ? \"grua\" : \"prediction\"\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 (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\n // Obtener celdas en el radio de cobertura\n const coveredCells = h3.gridDisk(h3Index, radius);\n\n // Crear polígono para el área de cobertura (opcional, puede ser pesado)\n // En su lugar, podemos crear un círculo aproximado\n\n const center = h3.cellToLatLng(h3Index);\n\n // Crear feature para el área de cobertura\n const coverageFeature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `Área cobertura Grúa ${gruaIndex + 1}`,\n \"grua_h3\": h3Index,\n \"radius\": radius,\n \"cells_covered\": cellsCovered,\n \"risk_covered\": grua.risk_covered || 0,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO (semi-transparente)\n \"fill\": getGruaColor(gruaIndex),\n \"fill-opacity\": 0.2,\n \"stroke\": getGruaColor(gruaIndex),\n \"stroke-width\": 2,\n \"stroke-opacity\": 0.5,\n \"marker-type\": \"coverage_area\"\n },\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [center[1], center[0]]\n }\n };\n\n features.push(coverageFeature);\n\n // Añadir marcador para la grúa\n const gruaMarker = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `🚨 Grúa ${gruaIndex + 1}`,\n \"description\": `Demanda: ${grua.expected_demand?.toFixed(2) || 0}\\\\nRadio: ${radius}\\\\nCeldas cubiertas: ${cellsCovered}`,\n \"grua_index\": gruaIndex + 1,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO para marcador\n \"marker-color\": getGruaColor(gruaIndex),\n \"marker-size\": \"large\",\n \"marker-symbol\": \"warehouse\",\n \"marker-type\": \"grua_marker\"\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}\\\\n` +\n `Cobertura: ${coverage.coverage_percentage?.toFixed(2) || 0}%\\\\n` +\n `Riesgo cubierto: ${coverage.risk_coverage_percentage?.toFixed(2) || 0}%\\\\n` +\n `Grúas recomendadas: ${recommendedH3.length}`,\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 },\n \"Layer\": \"H3 Predictions & Gruas\"\n};\n\nreturn msg;", "outputs": 1, "timeout": 0, "noerr": 0, "initialize": "", "finalize": "", "libs": [ { "var": "h3Js", "module": "h3-js" } ], "x": 340, "y": 960, "wires": [ [ "ac4ac0ee965cef89", "572948d3a25d485f" ] ] }, { "id": "ac4ac0ee965cef89", "type": "worldmap", "z": "f511dd2230a153e7", "name": "", "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": 640, "y": 960, "wires": [] }, { "id": "32e2494f462cc6f4", "type": "link in", "z": "f511dd2230a153e7", "name": "link in 1", "links": [ "b63c955f07e230f1", "c1552a91a92da199" ], "x": 125, "y": 1080, "wires": [ [ "572948d3a25d485f", "4bbf565e7701cb10" ] ] }, { "id": "2fc1745ca3803fcb", "type": "function", "z": "f511dd2230a153e7", "name": "Solo ver las gruas", "func": "// VERSIÓN MÍNIMA - Solo muestra las grúas\nconst h3 = h3Js;\nconst payload = msg.payload;\nconst recommendedH3 = payload.recommended_h3 || [];\n\nconst features = recommendedH3.map((h3Index, index) => {\n try {\n const center = h3.cellToLatLng(h3Index);\n return {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `Grúa ${index + 1}: ${h3Index}`,\n \"h3\": h3Index,\n },\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [center[1], center[0]]\n }\n };\n } catch (e) {\n return null;\n }\n}).filter(f => f !== null);\n\nmsg.payload = {\n \"type\": \"FeatureCollection\",\n \"features\": features,\n \"icon\": \"truck\",\n \"layer\": \"H3 Gruas\"\n};\n\nreturn msg;", "outputs": 1, "timeout": 0, "noerr": 0, "initialize": "", "finalize": "", "libs": [ { "var": "h3Js", "module": "h3-js" } ], "x": 290, "y": 920, "wires": [ [ "ac4ac0ee965cef89", "572948d3a25d485f" ] ] }, { "id": "572948d3a25d485f", "type": "debug", "z": "f511dd2230a153e7", "name": "debug 17", "active": true, "tosidebar": true, "console": false, "tostatus": false, "complete": "true", "targetType": "full", "statusVal": "", "statusType": "auto", "x": 640, "y": 1080, "wires": [] }, { "id": "19a26466059a3db1", "type": "function", "z": "f511dd2230a153e7", "name": "Con colores con probabilidad", "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.week || 0;\nconst dow = payload.dow || 0;\nconst hour = payload.hour || 0;\nconst recommendedH3 = payload.recommended_h3 || [];\nconst statistics = payload.statistics || [];\nconst coverage = payload.coverage || {};\nconst predictionData = payload.prediction_data || []; // 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// --- COLORES SEGÚN PROBABILIDAD DE NULO ---\nfunction getNuloColor(nuloProbability) {\n // Convertir a porcentaje (si viene como decimal)\n const pct = nuloProbability <= 1 ? nuloProbability * 100 : nuloProbability;\n\n if (pct < 25) return \"#00ff00\"; // verde (baja probabilidad de nulo)\n if (pct < 50) return \"#ffff00\"; // amarillo\n if (pct < 75) return \"#ffa500\"; // naranja\n return \"#ff0000\"; // rojo (alta probabilidad de nulo)\n}\n\n// --- COLORES PARA GRÚAS ---\nfunction getGruaColor(index) {\n const colors = [\"#0000ff\", \"#ff00ff\", \"#00ffff\", \"#800080\"];\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 basado en probabilidad de nulo\n const fillColor = getNuloColor(nuloProb);\n\n // Opacidad diferente para grúas\n const fillOpacity = isGrua ? 0.8 : 0.4;\n\n // Ancho de borde diferente para grúas\n const strokeWidth = isGrua ? 3 : 1;\n const strokeColor = isGrua ? \"#000000\" : \"#333333\";\n\n // Texto para tooltip\n let tooltip = `H3: ${h3Index}`;\n tooltip += `\\\\nDemanda: ${demand.toFixed(2)}`;\n tooltip += `\\\\nProb. Nulo: ${(nuloProb * 100).toFixed(1)}%`;\n tooltip += `\\\\nRiesgo: ${risk.toFixed(3)}`;\n if (isGrua) {\n tooltip += `\\\\n🚨 GRÚA (Radio: ${coverageRadius})`;\n }\n\n const feature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"h3\": h3Index,\n \"risk\": risk,\n \"demand\": demand,\n \"nulo_probability\": nuloProb,\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\n \"marker-type\": isGrua ? \"grua\" : \"prediction\",\n // Añadir nivel de color para referencia\n \"nulo_level\": nuloProb <= 0.25 ? \"bajo\" :\n nuloProb <= 0.5 ? \"medio\" :\n nuloProb <= 0.75 ? \"alto\" : \"muy_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 (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\n // Obtener celdas en el radio de cobertura\n const coveredCells = h3.gridDisk(h3Index, radius);\n\n // Crear polígono para el área de cobertura (opcional, puede ser pesado)\n // En su lugar, podemos crear un círculo aproximado\n\n const center = h3.cellToLatLng(h3Index);\n\n // Crear feature para el área de cobertura\n const coverageFeature = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `Área cobertura Grúa ${gruaIndex + 1}`,\n \"grua_h3\": h3Index,\n \"radius\": radius,\n \"cells_covered\": cellsCovered,\n \"risk_covered\": grua.risk_covered || 0,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO (semi-transparente)\n \"fill\": getGruaColor(gruaIndex),\n \"fill-opacity\": 0.2,\n \"stroke\": getGruaColor(gruaIndex),\n \"stroke-width\": 2,\n \"stroke-opacity\": 0.5,\n \"marker-type\": \"coverage_area\"\n },\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [center[1], center[0]]\n }\n };\n\n features.push(coverageFeature);\n\n // Añadir marcador para la grúa\n const gruaMarker = {\n \"type\": \"Feature\",\n \"properties\": {\n \"name\": `🚨 Grúa ${gruaIndex + 1}`,\n \"description\": `Demanda: ${grua.expected_demand?.toFixed(2) || 0}\\\\nProb. Nulo: ${(grua.nulo_probability * 100).toFixed(1)}%\\\\nRadio: ${radius}\\\\nCeldas cubiertas: ${cellsCovered}`,\n \"grua_index\": gruaIndex + 1,\n \"lat\": center[0],\n \"lon\": center[1],\n\n // ESTILO para marcador\n \"marker-color\": getGruaColor(gruaIndex),\n \"marker-size\": \"large\",\n \"marker-symbol\": \"warehouse\",\n \"marker-type\": \"grua_marker\"\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}\\\\n` +\n `Cobertura: ${coverage.coverage_percentage?.toFixed(2) || 0}%\\\\n` +\n `Riesgo cubierto: ${coverage.risk_coverage_percentage?.toFixed(2) || 0}%\\\\n` +\n `Grúas recomendadas: ${recommendedH3.length}`,\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\" // Indicar qué esquema de color se usa\n },\n \"Layer\": \"H3 Predictions & Gruas\"\n};\n\nreturn msg;", "outputs": 1, "timeout": 0, "noerr": 0, "initialize": "", "finalize": "", "libs": [ { "var": "h3Js", "module": "h3-js" } ], "x": 320, "y": 1000, "wires": [ [ "ac4ac0ee965cef89", "572948d3a25d485f" ] ] }, { "id": "4bbf565e7701cb10", "type": "function", "z": "f511dd2230a153e7", "name": "Con colores con probabilidad", "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: ${radius}
celdas (≈${radiusKm.toFixed(1)} km)
` +\n `Celdas cubiertas: ${cellsCovered}
` +\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\": `
Prob. Nulo: ${(nuloProb * 100).toFixed(1)}%
` +\n `Demanda: ${grua.expected_demand?.toFixed(2) || 0}
` +\n `Radio: ${radius} celdas (≈${radiusKm.toFixed(1)} km)
` +\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}
` +\n `Cobertura: ${coverage.coverage_percentage?.toFixed(2) || 0}%
` +\n `Riesgo cubierto: ${coverage.risk_coverage_percentage?.toFixed(2) || 0}%
` +\n `Grúas recomendadas: ${recommendedH3.length}
` +\n `🎨 Colores: Gradiente por probabilidad de nulo
` +\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;", "outputs": 1, 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"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": "\"Resultados:

\" & \"Riesgo cubierto: \" & payload.cobertura.risk_coverage_percentage &\t \" %
\" & \"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" ] ] } ]