import dayjs from 'dayjs'; // import exceptionApi from '../../api/exceptionApi'; export default { /** * 计算日期相差几天 * @param: * @createTime:开始时间,结束时间 * @returns: */ getDaysDifference(startDate, endDate) { return dayjs(endDate).diff(startDate, 'day') + 1; }, /** * 从分析数据数组中计算最小和大值 ,平均值, 在线率,有效率,超标率(后三个值为0~100取值) * @param:分析表中的数据 * @returns: */ calBillData(arr, beginTime, endTime) { let min = 65536; let max = -1; let avg = 0; let online = 0; let valid = 0; let exceeding = 0; let sumAvg = 0; let sumOnline = 0; let sumValid = 0; let sumExceeding = 0; // 计算选择的时间的相差的天数 let begin = dayjs(beginTime).format('YYYY-MM-DD'); let end = dayjs(endTime).format('YYYY-MM-DD'); let dayDiff = this.getDaysDifference(begin, end); let obj = {}; // 计算最小和大值 arr.forEach((item) => { if (item.min < min) { min = item.min; } if (item.max > max) { max = item.max; } // 计算平均值,在线率,有效率,超标率 sumAvg = sumAvg + item.dayAvg; sumOnline = sumOnline + Number(item.dayOnline.slice(0, -1)); sumValid = sumValid + Number(item.dayValid.slice(0, -1)); sumExceeding = sumExceeding + Number(item.dayExceeding.slice(0, -1)); }); // 计算均值 avg = sumAvg / dayDiff; online = sumOnline / dayDiff; valid = sumValid / dayDiff; exceeding = sumExceeding / dayDiff; obj['min'] = min.toFixed(3); obj['max'] = max.toFixed(3); obj['avg'] = avg.toFixed(2); obj['online'] = online.toFixed(2); obj['valid'] = valid.toFixed(2); obj['exceeding'] = exceeding.toFixed(2); return obj; }, /** * 计算异常类型聚集度:该时段出现的异常类型数量除8 * 异常复现率: 量级突变,超标临近和超标次数临界在该时段出现的累计复现此次除3(比如量级突变出现3次,算作复现2次) * @param: 异常数据数组 * @returns: */ calRecur(exceptionArr) { if(exceptionArr.length == 0){ let obj = {}; obj['exceptionRecurrence'] = 0; obj['exceptionTypeAggregation'] = 0; return obj; } // 典型异常复现率 let exceptionTyprRecurRate = 0; // 量级突变 let mutationCount = 0; // 超标临近 let exceedingNearCount = 0; // 超标次数临界 let exceedingCriticalDegree = 0; // 保存出现的不同异常类型 let exception = []; // 异常类型聚集度 let exceptionTypeAggregation = 0; exceptionArr.forEach((item) => { // 异常复现率 if (item.exceptionType == 4) { mutationCount++; } else if (item.exceptionType == 5) { exceedingNearCount++; } else if (item.exceptionType == 6) { exceedingCriticalDegree++; } // 异常类型聚集度 if (exception.length == 0) { exception.push(item.exceptionType); } // 保存新的异常类型 else if (exception.indexOf(item.exceptionType) == -1) { exception.push(item.exceptionType); } }); let sum = 0; // 次数减1,该异常出现2次,算复现1次。出现3次,算复现2次... if (mutationCount > 1) { sum = sum + mutationCount - 1; } if (exceedingNearCount > 1) { sum = sum + exceedingNearCount - 1; } if (exceedingCriticalDegree > 1) { sum = sum + exceedingCriticalDegree - 1; } switch (true) { case (sum == 0 || sum == 1) : exceptionTyprRecurRate = (sum / 3).toFixed(2); break; case (sum == 2|| sum >=3) : exceptionTyprRecurRate = 1; break; default: return 'error'; } exceptionTypeAggregation = (exception.length / 8).toFixed(2); let obj = {}; obj['exceptionRecurrence'] = exceptionTyprRecurRate; obj['exceptionTypeAggregation'] = exceptionTypeAggregation; return obj; }, // 参数:对象数组(该对象中的属性不能是引用类型,否则拷贝的值还是会相互影响) // 功能:拷贝该对象数组。 shallowCopyList(val) { if(val == 'arr'){ let tempList = []; return tempList; }else if(val == 'obj'){ let tempList = {}; return tempList; } }, getRate(obj){ let a = {} a.online = obj['dayOnline'] a.valid = obj['dayValid'] a.exceeding = obj['dayExceeding'] return a }, /** * 找到对象数组中属性mnCode为value的对象 添加进数组中 * @param: 对象数组 ,mnCode等于value * @returns: */ findValue(exceptionData,value){ if(exceptionData.length==0){ return [] } let temp = [] exceptionData.forEach((res)=>{ if(res.mnCode == value){ temp.push(res) } }) return temp }, /** * 计算风险值 * @param: 数组。依次是在线率,有效率,超标率,异常类型聚集度,异常复现率 * @returns: */ calRiskValue(arr){ // 用100减 是因为该属性需要计算的是风险值,应当是离线率,无效率 // 乘以0.01是因为去除百分号后需要再缩小100倍 let weight = ( (100 - parseFloat(arr[0].slice(0, -1)))*0.01 * 0.1 + (100 - parseFloat(arr[1].slice(0, -1)))*0.01 * 0.2 + parseFloat(arr[2].slice(0, -1))*0.01 * 0.2 + arr[3] * 0.2 + arr[4] * 0.3 ).toFixed(2) return weight }, /** * 对分析值和异常值计算风险值 * @param: 分析数据,异常数据,开始时间,结束时间 * @returns:表格数据 */ merge(anaData,exceptionData,beginTime,endTime){ if (anaData.length == 0){ return [] } const table = [] let i = 0 anaData.forEach((res) =>{ let siteName = res.name // 从分析数据中得到设备编号 let mnCode = res.mnCode // 找到异常数据中mnCode等于value的对象 let d = this.findValue(exceptionData,mnCode) // let temp = [...res,...d] // 计算在线,有效率,超标率 let r1 = this.getRate(res, beginTime, endTime) // 计算复现率 let r2 = this.calRecur(d) i = i + 1 // 数组的拷贝 防止地址引用 let temp = this.shallowCopyList('arr') temp.push(r1['online']) temp.push(r1['valid']) temp.push(r1['exceeding']) temp.push(r2['exceptionRecurrence']) temp.push(r2['exceptionTypeAggregation']) // 计算风险值 let weight = this.calRiskValue(temp) // 对象的拷贝 防止地址引用 let obj = this.shallowCopyList('obj') // 构成表格的一行 obj.region = '金山区' obj.monitorType = '扬尘' obj.siteName = res.name obj.beginTime = beginTime obj.endTime = endTime obj.riskValue = weight if (weight >= 0.6) { obj.riskGrage = '高风险' obj.riskAdvice = '建议对该站点进行线下执法检查,专项数据对比' } else if (weight < 0.6 && weight >= 0.2) { obj.riskGrage = '中风险' obj.riskAdvice = '建议开展常态追踪分析' } else { obj.riskGrage = '低风险' obj.riskAdvice = '建议引导企业长态保持' } table.push(obj) }) return table } }