| | |
| | | const calRateFormRef = ref() |
| | | const calRateForm = ref({ |
| | | calItem: undefined, |
| | | IN_DEVIATION: 0, |
| | | OUT_DEVIATION: 0, |
| | | IN_DEVIATION: 10, |
| | | OUT_DEVIATION: 50, |
| | | IN_ACCURACY_RATE: 0, |
| | | OUT_ACCURACY_RATE: 0, |
| | | itemAvg: 0, |
| | |
| | | function onCheckTree(data, checked, indeterminate) { |
| | | formData.value.checkedItemData = []; |
| | | if (checked.checkedNodes) { |
| | | formData.value.checkedItemData = [...checked.checkedNodes] |
| | | let cns = [...checked.checkedNodes] |
| | | for (let i = 0; i < cns.length; i++) { |
| | | if (cns[i].id.indexOf('-') !== -1) { |
| | | continue |
| | | } |
| | | formData.value.checkedItemData.push(cns[i]) |
| | | } |
| | | } |
| | | debounce(getList, 1000); |
| | | } |
| | |
| | | calRateForm.value.itemAvg = dataView.hisAvg; |
| | | calRateForm.value.realCumulant = dataView.hisCumulant; |
| | | } |
| | | calAccuracyRate() |
| | | } |
| | | |
| | | function calAccuracyRate() { |
| | | this.$refs['calRateForm'].validate((valid) => { |
| | | if (!valid) { |
| | | return false |
| | | } |
| | | let dataView = itemDataObject[calRateForm.value.calItem] |
| | | let seriesReaData = dataView.realData; |
| | | let seriesPreData = dataView.preDataL; |
| | | if (seriesReaData == null || seriesPreData == null || |
| | | seriesReaData.length === 0 || seriesPreData.length === 0) { |
| | | loading2.value = false; |
| | | return; |
| | | } |
| | | let predictValueMap = {}; |
| | | seriesPreData.forEach(function (item) { |
| | | predictValueMap[item[0]] = item[1]; |
| | | }) |
| | | let pointValueMap = {}; |
| | | seriesReaData.forEach(function (item) { |
| | | pointValueMap[item[0]] = item[1]; |
| | | }) |
| | | let inDeviation = Number(calRateForm.value.IN_DEVIATION); |
| | | let outDeviation = Number(calRateForm.value.OUT_DEVIATION); |
| | | if (inDeviation === 0 && outDeviation === 0) { |
| | | loading2.value = false; |
| | | return; |
| | | } |
| | | let inDeviationCount = 0; |
| | | let outDeviationCount = 0; |
| | | let totalCount = 0; |
| | | for (let key in predictValueMap) { |
| | | let predictValue = predictValueMap[key]; |
| | | let pointValue = pointValueMap[key]; |
| | | if (pointValue == null || "" === pointValue || predictValue == null || "" === predictValue) { |
| | | continue; |
| | | } |
| | | let deviationAbs = (predictValue - pointValue) >= 0 ? (predictValue - pointValue) : (predictValue - pointValue) * -1; |
| | | if (deviationAbs < inDeviation) { |
| | | inDeviationCount = inDeviationCount + 1; |
| | | } |
| | | if (deviationAbs > outDeviation) { |
| | | outDeviationCount = outDeviationCount + 1; |
| | | } |
| | | totalCount = totalCount + 1; |
| | | } |
| | | const valid = calRateFormRef.value.validate() |
| | | if (!valid) return |
| | | |
| | | let rateIn = (inDeviationCount / totalCount * 100).toFixed(2); |
| | | let rateOut = (outDeviationCount / totalCount * 100).toFixed(2); |
| | | calRateForm.value.IN_ACCURACY_RATE = Number(rateIn); |
| | | calRateForm.value.OUT_ACCURACY_RATE = Number(rateOut); |
| | | let dataView = itemDataObject.value[calRateForm.value.calItem] |
| | | let seriesReaData = dataView.realData; |
| | | let seriesPreData = dataView.preDataL; |
| | | if (seriesReaData == null || seriesPreData == null || |
| | | seriesReaData.length === 0 || seriesPreData.length === 0) { |
| | | loading2.value = false; |
| | | return; |
| | | } |
| | | let predictValueMap = {}; |
| | | seriesPreData.forEach(function (item) { |
| | | predictValueMap[item[0]] = item[1]; |
| | | }) |
| | | let pointValueMap = {}; |
| | | seriesReaData.forEach(function (item) { |
| | | pointValueMap[item[0]] = item[1]; |
| | | }) |
| | | let inDeviation = Number(calRateForm.value.IN_DEVIATION); |
| | | let outDeviation = Number(calRateForm.value.OUT_DEVIATION); |
| | | if (inDeviation === 0 && outDeviation === 0) { |
| | | loading2.value = false; |
| | | return; |
| | | } |
| | | let inDeviationCount = 0; |
| | | let outDeviationCount = 0; |
| | | let totalCount = 0; |
| | | for (let key in predictValueMap) { |
| | | let predictValue = predictValueMap[key]; |
| | | let pointValue = pointValueMap[key]; |
| | | if (pointValue == null || "" === pointValue || predictValue == null || "" === predictValue) { |
| | | continue; |
| | | } |
| | | let deviationAbs = (predictValue - pointValue) >= 0 ? (predictValue - pointValue) : (predictValue - pointValue) * -1; |
| | | if (deviationAbs < inDeviation) { |
| | | inDeviationCount = inDeviationCount + 1; |
| | | } |
| | | if (deviationAbs > outDeviation) { |
| | | outDeviationCount = outDeviationCount + 1; |
| | | } |
| | | totalCount = totalCount + 1; |
| | | } |
| | | |
| | | let rateIn = (inDeviationCount / totalCount * 100).toFixed(2); |
| | | let rateOut = (outDeviationCount / totalCount * 100).toFixed(2); |
| | | calRateForm.value.IN_ACCURACY_RATE = Number(rateIn); |
| | | calRateForm.value.OUT_ACCURACY_RATE = Number(rateOut); |
| | | loading2.value = false; |
| | | } |
| | | |
| | | function rightSearchDataByRange() { |
| | |
| | | } |
| | | calRateForm.value = { |
| | | calItem: undefined, |
| | | IN_DEVIATION: 0, |
| | | OUT_DEVIATION: 0, |
| | | IN_DEVIATION: 10, |
| | | OUT_DEVIATION: 50, |
| | | IN_ACCURACY_RATE: 0, |
| | | OUT_ACCURACY_RATE: 0, |
| | | itemAvg: 0, |