update 准确度统计导出excel

src/api/task/taskpool.ts

@@ -105,3 +105,7 @@ export const updateTaskPoolBriefApi = (params: any) => {
 export const statisticTaskPoolConfidenceApi = (params: any) => {
   return post(`${PREFIX}taskpool/statisticTaskPoolConfidence`, params);
 };
+// 导出统计工况库和场景库准确度信息
+export const exportStatisticTaskPoolConfidenceApi = (params: any, filename?: string) => {
+  return download(`${PREFIX}taskpool/exportStatisticTaskPoolConfidence`, params, filename);
+};

src/views/task/dashboard/components/simulationLoopNewBoard.vue

@@ -115,11 +115,25 @@ import commonFilterChart from '@/components/common/echartCard/commonFilterChart.
 import {
   statisticDisciplineConfidenceTrendApi,
   statisticTaskPoolConfidenceApi,
+  exportStatisticTaskPoolConfidenceApi,
 } from '@/api/task/taskpool';
+// import { FileUtil } from '@/utils/file';
 
+// const tableTitle = [
+//   { chineseName: '学科名称', englishName: 'discipline' },
+//   { chineseName: '机型库名称', englishName: 'poolName' },
+//   { chineseName: '准确度平均值', englishName: 'confidence' },
+//   { chineseName: '场景数量', englishName: 'count' },
+//   { chineseName: '有效数量', englishName: 'effective' },
+// ];
 const downloadAction = (type: string) => {
   const params = type === 'discipline' ? disciplineParams.value : machineParams.value;
-  console.log('下载参数：', params);
+  const dataType = params.bTotal ? '总量' : '有效';
+  const fileName =
+    type === 'discipline' ? '学科' + dataType + '准确度' : '机型' + dataType + '准确度';
+  exportStatisticTaskPoolConfidenceApi(params, fileName + '.xlsx');
+  // const tableData = type === 'discipline' ? disciplinetableData.value : machineTableData.value;
+  // FileUtil.exportExcel(tableData, fileName, tableTitle);
 };
 
 // #region学科准确度
@@ -130,6 +144,7 @@ const disciplineExtraFilters = ref({
 });
 const disciplineParams = ref();
 const disciplineNodata = ref(false);
+// const disciplinetableData = ref<any>([]);
 const disciplineConfidenceUpdate = async (data: any) => {
   const params = {
     type: 1,
@@ -139,12 +154,14 @@ const disciplineConfidenceUpdate = async (data: any) => {
   disciplineParams.value = params;
   disciplineLoading.value = true;
   try {
+    // disciplinetableData.value = [];
     const res: any = await statisticTaskPoolConfidenceApi(params);
     if (res.code === 200) {
       disciplineLoading.value = false;
       const data = res.data || [];
       disciplineNodata.value = data.length === 0;
       if (data.length) {
+        // disciplinetableData.value = data.map(({ poolName, ...rest }: any) => rest); // eslint-disable-line
         const xData = data.map((item: any) => (item as any).discipline);
         const option = {
           color: ['#409eff'],
@@ -183,6 +200,7 @@ const machineLoading = ref(false);
 const machineConfidenceOption = ref<any>();
 const machineNodata = ref(false);
 const machineParams = ref();
+// const machineTableData = ref<any>([]);
 const queryMachineConfidenceFun = async (data: any) => {
   const params = {
     type: 2,
@@ -195,11 +213,13 @@ const queryMachineConfidenceFun = async (data: any) => {
   machineParams.value = params;
   machineLoading.value = true;
   try {
+    // machineTableData.value = [];
     const res: any = await statisticTaskPoolConfidenceApi(params);
     if (res.code === 200 && Array.isArray(res.data)) {
       const data = res.data || [];
       machineNodata.value = data.length === 0;
       if (data.length) {
+        // machineTableData.value = data.map(({ discipline, ...rest }: any) => rest); // eslint-disable-line
         const xData = data.map((item: any) => (item as any).poolName);
         const option = {
           color: ['#409eff'],