Merge remote-tracking branch 'origin/main'

ui/dasadmin/src/views/backend/statAnalysis/powerCurveAnalysis.vue

@@ -288,7 +288,7 @@ const getDateRange = (type: 'week' | 'month') => {
         return [startOfMonth, endOfMonth]
     }
 }
-
+const theoryData = ref([])
 const isLoading = ref(false)
 const statAnalysisOperate = () => {
     const deviceId = statAnalysisDeviceId.value.split(':')[2]
@@ -359,9 +359,7 @@ const statAnalysisOperate = () => {
                     const seriesData = iGenPower.map((item: any, index: number) => {
                         return [getCutDecimalsValue(iWindSpeed[index], 2), getCutDecimalsValue(item, 2)]
                     })
-                    // seriesData.sort((a: any, b: any) => {
-                    //     return a[0] - b[0]
-                    // })
+
                     seriesDataInit.value = seriesData
                     calculateData.value = calculateAverages(seriesDataInit.value)
                     updateChart()
@@ -371,6 +369,7 @@ const statAnalysisOperate = () => {
                 const seriesData = resData1.map((item: any) => {
                     return [getCutDecimalsValue(item.speed, 2), getCutDecimalsValue(item.power, 2)]
                 })
+                theoryData.value = seriesData
                 const series = {
                     type: 'line',
                     data: seriesData,
@@ -391,33 +390,49 @@ const statAnalysisOperate = () => {
         })
 }
 
-const statAnalysisExport = () => {
-    const params = statAnalysisFatory.value ? statAnalysisFatory.value : statAnalysisDeviceId.value
-    const windSource = statAnalysisSelectOptions.speedSource.filter((item: any) => item.value == statAnalysisSpeedSource.value)
-    const requestData = {
-        devices: [
-            {
-                deviceId: statAnalysisDeviceId.value.split(':')[2],
-                attributes: [statAnalysisSpeedSource.value, 'AvgActivePower_10min'],
-            },
-        ],
-        startTime: new Date(statAnalysisTime.value[0]).getTime(),
-        endTime: new Date(statAnalysisTime.value[1]).getTime(),
-        madeinfactory: params.split(':')[0],
-        model: params.split(':')[1],
-        windSource: windSource[0]['label'],
-        displayCurve: AvgWindSpeedSwitch.value ? 1 : 0,
+const escapeCsvValue = (value: any) => {
+    if (typeof value === 'string') {
+        // 如果值包含逗号、双引号或换行符，进行转义
+        return `"${value.replace(/"/g, '""')}"`
     }
-    powerCurveExport(requestData).then((res: any) => {
-        const downloadUrl = window.URL.createObjectURL(res)
-        const a = document.createElement('a')
-        a.href = downloadUrl
-        a.download = '功率曲线' + new Date().getTime()
-        document.body.appendChild(a)
-        a.click()
-        window.URL.revokeObjectURL(downloadUrl)
-        document.body.removeChild(a)
+    return value
+}
+
+const statAnalysisExport = () => {
+    const windSource = statAnalysisSelectOptions.speedSource.filter((item: any) => item.value == statAnalysisSpeedSource.value)
+    const csvHeaders = ['风机名称' + '\t', windSource[0]['label'] + '\t', '功率' + '\t', '理论风速' + '\t', '理论功率' + '\t'].join(',') + '\n'
+    const deviceRow = statAnalysisSelectOptions.deviceId.filter((item: any) => item.value == statAnalysisDeviceId.value)
+    let sortseriesDataInit = [...seriesDataInit.value]
+    sortseriesDataInit.sort((a: any, b: any) => {
+        return a[0] - b[0]
     })
+    const exportExcelData1 = chartType.value === 'scatter' ? sortseriesDataInit : calculateData.value
+    const exportExcelData: any = []
+    exportExcelData1.forEach((item: any, index: number) => {
+        let theoryItem0 = (theoryData.value[index] && theoryData.value[index][0]) || ''
+        let theoryItem1 = (theoryData.value[index] && theoryData.value[index][1]) || ''
+        const dataItem = [
+            escapeCsvValue(deviceRow[0]['label']) + '\t',
+            escapeCsvValue(item[0]) + '\t',
+            escapeCsvValue(item[1]) + '\t',
+            escapeCsvValue(theoryItem0) + '\t',
+            escapeCsvValue(theoryItem1) + '\t',
+        ]
+        exportExcelData.push(dataItem.join(','))
+    })
+
+    const csvContent = csvHeaders + exportExcelData.join('\n')
+    const blob = new Blob([csvContent], { type: 'text/csv;charset=utf-8;' })
+    const link = document.createElement('a')
+    if (link.download !== undefined) {
+        const url = URL.createObjectURL(blob)
+        link.setAttribute('href', url)
+        link.setAttribute('download', '功率曲线' + new Date().getTime() + '.csv')
+        link.style.visibility = 'hidden'
+        document.body.appendChild(link)
+        link.click()
+        document.body.removeChild(link)
+    }
 }
 
 const calculateAverages = (data: any) => {

ui/dasadmin/src/views/backend/statAnalysis/trendAnalysis.vue

@@ -637,7 +637,7 @@ const statAnalysisExport = () => {
     if (link.download !== undefined) {
         const url = URL.createObjectURL(blob)
         link.setAttribute('href', url)
-        link.setAttribute('download', '趋势分析_' + new Date().getTime() + '.csv')
+        link.setAttribute('download', '单机分析_' + new Date().getTime() + '.csv')
         link.style.visibility = 'hidden'
         document.body.appendChild(link)
         link.click()

ui/dasadmin/src/views/backend/statAnalysis/trendComparison.vue

@@ -689,8 +689,8 @@ const escapeCsvValue = (value: any) => {
 }
 const statAnalysisExport = () => {
     const tables = [
-        { data: highcsvContent.value, filename: '高频.csv' },
-        { data: lowcsvContent.value, filename: '低频.csv' },
+        { data: highcsvContent.value, filename: '多机对比_高频' + new Date().getTime() + '.csv' },
+        { data: lowcsvContent.value, filename: '多机对比_低频' + new Date().getTime() + '.csv' },
     ]
 
     tables.forEach((table) => {