package com.flightfeather.uav.biz.dataanalysis.exceptiontype
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import com.flightfeather.uav.biz.dataanalysis.model.DataAnalysisConfig
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import com.flightfeather.uav.biz.dataanalysis.model.ExceptionTag
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import com.flightfeather.uav.biz.dataanalysis.model.ExceptionType
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import com.flightfeather.uav.domain.entity.BaseRealTimeData
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import com.flightfeather.uav.socket.eunm.FactorType
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import kotlin.math.abs
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/**
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* 量级突变异常分析
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*/
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class ExceptionValueMutation(config: DataAnalysisConfig) : ExceptionContinuous(config) {
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/**
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* 本异常的连续发生次数会根据异常的程度变化
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* 当突变的量级超过设定值1倍时,连续发生次数要求减少1倍
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*/
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private var special = false
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override fun getExceptionType(): ExceptionType = ExceptionType.TYPE4
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override fun judgeException(p: BaseRealTimeData?, n: BaseRealTimeData): MutableMap<FactorType, Boolean> {
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val res = mutableMapOf<FactorType, Boolean>()
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config.factorFilter.mainList().forEach { f ->
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if (p?.getByFactorType(f) == null || n.getByFactorType(f) == null) {
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res[f] = (false)
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return@forEach
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}
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val pValue = p.getByFactorType(f)!!
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val nValue = n.getByFactorType(f)!!
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val r = abs((pValue - nValue) / pValue)
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val b1 = r >= (2 * config.mutationRate)
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val b2 = r >= config.mutationRate
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if (b1) special = true
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res[f] = (b1 || b2)
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// if (res[f] == true) println("p: $pValue --- n: $nValue --- r: $r")
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}
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return res
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}
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override fun judgeExceptionCount(tag: ExceptionTag, factorType: FactorType?): Boolean {
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// 首个数据没有前一个数据参照，不算异常值，最后一个数据是判断结束的正常值，因此异常数据个数的计算下标为sIndex和eIndex
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val sIndex = tag.sIndex
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val eIndex = tag.eIndex - 1
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val b1 = special && (eIndex - sIndex) >= (config.mutationNum / 2)
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val b2 = (eIndex - sIndex) >= config.mutationNum
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special = false
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// println("sIndex: $sIndex --- eIndex: $eIndex --- special: $special")
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return b1 || b2
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}
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}
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