Mercurial > gemma
annotate client/src/lib/classifications.js @ 4357:e8af2ed8666e
refactor classification of Nash sutcliffe for better readability
author | Thomas Junk <thomas.junk@intevation.de> |
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date | Mon, 09 Sep 2019 16:12:43 +0200 |
parents | 767a6500a666 |
children | a66275cf4490 |
rev | line source |
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1 /* This is Free Software under GNU Affero General Public License v >= 3.0 |
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2 * without warranty, see README.md and license for details. |
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3 * |
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4 * SPDX-License-Identifier: AGPL-3.0-or-later |
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5 * License-Filename: LICENSES/AGPL-3.0.txt |
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6 * |
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7 * Copyright (C) 2018 by via donau |
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8 * – Österreichische Wasserstraßen-Gesellschaft mbH |
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9 * Software engineering by Intevation GmbH |
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10 * |
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11 * Author(s): |
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12 * Raimund Renkert <raimund.renkert@intevation.de> |
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13 * Markus Kottländer <markus.kottlaender@intevation.de> |
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14 */ |
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15 |
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16 /*eslint no-unused-vars: ["error", { "varsIgnorePattern": "_" }]*/ |
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17 |
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18 import store from "@/store/index"; |
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19 |
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20 const getGauge = f => { |
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21 if (f.getId().indexOf("bottlenecks") > -1) { |
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22 const GaugeProxy = (function(feature) { |
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23 const gauge = feature.get("gauge_obj"); |
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24 const get = function(propName) { |
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25 if (gauge) return gauge.get(propName); |
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26 return feature.get(propName); |
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27 }; |
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28 return { |
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29 get: get |
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30 }; |
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31 })(f); |
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32 return GaugeProxy; |
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33 } |
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34 return f; |
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35 }; |
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36 |
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37 const calcForecastVsRealityForNSC = nsc => { |
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38 const hasSamples = |
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39 nsc && nsc.coeffs.reduce((sum, coeff) => sum + coeff.samples, 0); |
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40 if (hasSamples) { |
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41 const [nsc24h, _, nsc72h] = nsc.coeffs; |
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42 // 24h < configured value |
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43 if ( |
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44 nsc24h.samples && |
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45 nsc24h.value < |
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46 store.state.application.config.gm_forecast_vs_reality_nsc_24h |
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47 ) |
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48 return "DANGER"; |
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49 // 72h < configured value |
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50 if ( |
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51 nsc72h.samples && |
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52 nsc72h.value < |
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53 store.state.application.config.gm_forecast_vs_reality_nsc_72h |
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54 ) |
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55 return "WARNING"; |
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56 // both > configured value |
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57 return "OK"; |
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58 } |
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59 // no data available |
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60 return "NEUTRAL"; |
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61 }; |
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62 |
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63 export default { |
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64 surveyRecency(bottleneck) { |
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65 if ( |
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66 bottleneck.get("revisiting_time") === null || |
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67 bottleneck.get("revisiting_time") === 0 |
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68 ) { |
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69 return "NEUTRAL"; |
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70 } |
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71 if (bottleneck.get("date_max") === null) { |
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72 return "DANGER"; |
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73 } |
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74 let revTime = bottleneck.get("revisiting_time") * 30.5; |
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75 let latest = Date.parse(bottleneck.get("date_max").replace("Z", "")); |
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76 var diff = Math.floor((Date.now() - latest) / 86400000); |
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77 let revTimeMultiplier = |
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78 store.state.application.config.bn_revtime_multiplier; |
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79 if (diff <= revTime) { |
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80 return "OK"; |
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81 } else if (revTime < diff && diff <= revTime * revTimeMultiplier) { |
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82 return "WARNING"; |
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83 } else if (revTime * revTimeMultiplier < diff) { |
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84 return "DANGER"; |
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85 } |
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86 }, |
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87 gmAvailability(feature) { |
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88 let gauge = getGauge(feature); |
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89 let gmDate = gauge.get("gm_measuredate"); |
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90 let gmN = gauge.get("gm_n_14d"); |
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91 if ( |
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92 gmDate !== undefined && |
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93 gmDate !== null && |
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94 // latest measurement within configured hours |
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95 Date.parse(gmDate) > |
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96 Date.now() - |
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97 store.state.application.config.gm_latest_hours * 60 * 60 * 1000 |
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98 ) { |
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99 // at least configured amount of measurements in last 14 days |
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100 const valuesAtLeast = store.state.application.config.gm_min_values_14d; |
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101 if (gmN !== undefined && gmN !== null && gmN >= valuesAtLeast) { |
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102 return "OK"; |
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103 } |
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104 return "WARNING"; |
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105 } |
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106 return "DANGER"; |
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107 }, |
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108 forecastAccuracy(feature) { |
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109 let gauge = getGauge(feature); |
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110 let fa3d = gauge.get("forecast_accuracy_3d"); |
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111 let fa1d = gauge.get("forecast_accuracy_1d"); |
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112 if (typeof fa3d == "number" && typeof fa1d == "number") { |
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113 if (fa1d > store.state.application.config.gm_forecast_offset_24h) { |
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114 return "DANGER"; |
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115 } else if (fa3d > store.state.application.config.gm_forecast_offset_72h) { |
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116 return "WARNING"; |
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117 } else { |
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118 return "OK"; |
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119 } |
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120 } |
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121 return "NEUTRAL"; |
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122 }, |
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123 forecastVsReality(feature) { |
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124 let gauge = getGauge(feature); |
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125 let nsc = gauge.get("nsc_data"); |
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126 return calcForecastVsRealityForNSC(nsc); |
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127 }, |
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128 calcForecastVsRealityForNSC: calcForecastVsRealityForNSC |
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129 }; |