Merge branch 'multi-tenant' of http://192.168.2.166:3180/OMC/ems_frontend_vue3 into multi-tenant

src/views/perfManage/goldTarget/index.vue

@@ -447,17 +447,13 @@ function fnGetListTitle() {
   // 获取表头文字，只传递纯网元类型
   getKPITitle(state.neType)
     .then(res => {
-      //处理getKPITitle返回的结果
       if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
-        //检查值
         tableColumns.value = []; //设为空数组
-        const columns: any[] = []; //初始化，构建新表头
+        const columns: any[] = [];
         for (const item of res.data) {
-          //遍历res.data
-          const kpiDisplay = item[`${language}Title`]; //提取标题kpiDisplay和ID标识kpiValue
+          const kpiDisplay = item[`${language}Title`];
           const kpiValue = item[`kpiId`];
           columns.push({
-            //
             title: kpiDisplay,
             dataIndex: kpiValue,
             align: 'left',
@@ -486,6 +482,9 @@ function fnGetListTitle() {
         });
         nextTick(() => {
           tableColumns.value = columns;
+          nextTick(() => {
+            fnGetList();
+          });
         });
         return true;
       } else {
@@ -495,10 +494,6 @@ function fnGetListTitle() {
         });
         return false;
       }
-    })
-    .then(result => {
-      //result是前一个.then返回的值(true or false)
-      result && fnGetList();
     });
 }
 
@@ -508,7 +503,10 @@ async function fnGetList() {
   tableState.loading = true;
 
   try {
-    // 获取所有网元数据
+    // 第一步：根据指标信息和网元数量，创建完整的默认数据结构
+    fnCreateDefaultDataStructure();
+
+    // 第二步：获取所有网元数据
     let allNeData: any[] = [];
 
     // 每个选中的网元ID发送一个请求
@@ -541,55 +539,8 @@ async function fnGetList() {
     tablePagination.total = allNeData.length;
     tableState.data = allNeData;
 
-    // 调用图表渲染函数
-    fnRanderChartData();
-
-    // 封装legend表格数据
-    kpiStats.value = [];
-
-    // 为每个指标和每个网元创建统计数据
-    for (const columns of tableColumns.value) {
-      if (
-        columns.key === 'neName' ||
-        columns.key === 'startIndex' ||
-        columns.key === 'timeGroup'
-      ) {
-        continue;
-      }
-
-      // 处理每个网元
-      for (const neId of state.neIds) {
-        // 过滤该网元的数据
-        const neData = tableState.data.filter(item => item._neId === neId);
-
-        if (neData.length === 0) continue;
-
-        const values = neData.map((item: any) => {
-          return item[columns.key] ? Number(item[columns.key]) : 0;
-        });
-
-        // 计算总值
-        const total = Number(
-          values.reduce((sum, val) => sum + val, 0).toFixed(2)
-        );
-
-        // 计算平均值
-        const avg =
-          values.length > 0 ? Number((total / values.length).toFixed(2)) : 0;
-
-        kpiStats.value.push({
-          kpiId: `${columns.key}_${neId}`, // 使用组合ID来唯一标识指标-网元对
-          title: `${columns.title}(${neId})`, // 在标题中显示网元ID
-          rawKpiId: columns.key,
-          rawKpiTitle: columns.title,
-          neId: neId,
-          max: values.length > 0 ? Math.max(...values) : 0,
-          min: values.length > 0 ? Math.min(...values) : 0,
-          avg: avg,
-          total: total,
-        });
-      }
-    }
+    // 第三步：用真实数据更新默认值
+    fnUpdateDataWithRealValues(allNeData);
 
     return true;
   } catch (error) {
@@ -604,6 +555,260 @@ async function fnGetList() {
   }
 }
 
+/**创建默认数据结构 */
+function fnCreateDefaultDataStructure() {
+  // 重置
+  chartLegendSelected = {};
+  chartDataXAxisData = [];
+  chartDataYSeriesData = [];
+  kpiStats.value = [];
+
+  // 创建默认的时间点（当前时间）
+  const defaultTimePoint = Date.now();
+  chartDataXAxisData = [parseDateToStr(defaultTimePoint)];
+
+  // 为每个网元的每个指标创建默认数据结构
+  for (const columns of tableColumns.value) {
+    if (
+      columns.key === 'neName' ||
+      columns.key === 'startIndex' ||
+      columns.key === 'timeGroup'
+    ) {
+      continue;
+    }
+    for (const neId of state.neIds) {
+      const kpiId = `${columns.key}_${neId}`;
+      const seriesName = `${columns.title}(${neId})`;
+      // 获取或生成颜色
+      const color = kpiColors.get(kpiId) || generateColorRGBA();
+      kpiColors.set(kpiId, color);
+      // 创建图表系列，包含默认数据点
+      const seriesData = {
+        name: seriesName,
+        key: kpiId,
+        type: 'line',
+        symbol: 'none',
+        symbolSize: 6,
+        smooth: 0.6,
+        showSymbol: true,
+        sampling: 'lttb',
+        itemStyle: {
+          color: color,
+        },
+        areaStyle: {
+          color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
+            {
+              offset: 0,
+              color: color.replace(')', ',0.8)'),
+            },
+            {
+              offset: 1,
+              color: color.replace(')', ',0.3)'),
+            },
+          ]),
+        },
+        data: [0], // 默认值为0，确保tooltip能显示指标信息
+      };
+      chartDataYSeriesData.push(seriesData);
+      chartLegendSelected[seriesName] = true;
+      // 创建统计表格项，默认值为0
+      kpiStats.value.push({
+        kpiId: `${columns.key}_${neId}`,
+        title: `${columns.title}(${neId})`,
+        rawKpiId: columns.key,
+        rawKpiTitle: columns.title,
+        neId: neId,
+        max: 0,
+        min: 0,
+        avg: 0,
+        total: 0,
+      });
+    }
+  }
+
+  // 创建默认的原始数据（用于表格显示）
+  const defaultTableData: any[] = [];
+  for (const neId of state.neIds) {
+    const defaultRow: any = {
+      _neId: neId,
+      neName: `${state.neType}-${neId}`,
+      timeGroup: defaultTimePoint,
+    };
+
+    // 为每个指标添加默认值0
+    for (const columns of tableColumns.value) {
+      if (
+        columns.key === 'neName' ||
+        columns.key === 'startIndex' ||
+        columns.key === 'timeGroup'
+      ) {
+        continue;
+      }
+      defaultRow[columns.key] = 0;
+    }
+
+    defaultTableData.push(defaultRow);
+  }
+
+  tableState.data = defaultTableData;
+  tablePagination.total = defaultTableData.length;
+
+  // 渲染默认的图表和表格
+  if (kpiChart.value && kpiChartDom.value) {
+    kpiChart.value.setOption(
+      {
+        legend: {
+          selected: chartLegendSelected,
+        },
+        xAxis: {
+          type: 'category',
+          boundaryGap: false,
+          axisLabel: {
+            color:
+              document.documentElement.getAttribute('data-theme') === 'dark'
+                ? '#CACADA'
+                : '#333',
+          },
+          splitLine: {
+            show: true,
+            lineStyle: {
+              color: getSplitLineColor(),
+            },
+          },
+          data: chartDataXAxisData,
+        },
+        series: chartDataYSeriesData,
+      },
+      {
+        replaceMerge: ['xAxis', 'series'],
+      }
+    );
+  }
+}
+
+/**用真实数据更新默认值 */
+function fnUpdateDataWithRealValues(allNeData: any[]) {
+  if (allNeData.length === 0) {
+    // 如果没有真实数据，保持默认值
+    return;
+  }
+
+  // 更新原始数据表格
+  tableState.data = allNeData;
+  tablePagination.total = allNeData.length;
+
+  // 获取所有时间点并格式化
+  const timePoints = [
+    ...new Set(allNeData.map(item => item.timeGroup)),
+  ].sort();
+  chartDataXAxisData = timePoints.map(time => parseDateToStr(+time));
+
+  // 更新图表数据
+  for (const series of chartDataYSeriesData) {
+    const [kpiKey, neId] = series.key.split('_');
+    const neData = allNeData.filter(item => item._neId === neId);
+
+    // 为每个时间点填充数据
+    series.data = timePoints.map(time => {
+      const dataPoint = neData.find(item => item.timeGroup === time);
+      return dataPoint ? +dataPoint[kpiKey] : null;
+    });
+  }
+
+  // 更新统计数据
+  for (const columns of tableColumns.value) {
+    if (
+      columns.key === 'neName' ||
+      columns.key === 'startIndex' ||
+      columns.key === 'timeGroup'
+    ) {
+      continue;
+    }
+
+    // 处理每个网元
+    for (const neId of state.neIds) {
+      // 过滤该网元的数据
+      const neData = allNeData.filter(item => item._neId === neId);
+
+      // 找到对应的统计项并更新
+      const statsItem = kpiStats.value.find(
+        (item: KPIStats) => item.kpiId === `${columns.key}_${neId}`
+      );
+
+      if (statsItem) {
+        if (neData.length === 0) {
+          // 没有数据时保持默认值0
+          statsItem.max = 0;
+          statsItem.min = 0;
+          statsItem.avg = 0;
+          statsItem.total = 0;
+        } else {
+          // 有数据时计算统计值
+          const values = neData.map((item: any) => {
+            return item[columns.key] ? Number(item[columns.key]) : 0;
+          });
+
+          const total = Number(
+            values.reduce((sum, val) => sum + val, 0).toFixed(2)
+          );
+          const avg =
+            values.length > 0 ? Number((total / values.length).toFixed(2)) : 0;
+
+          statsItem.max = values.length > 0 ? Math.max(...values) : 0;
+          statsItem.min = values.length > 0 ? Math.min(...values) : 0;
+          statsItem.avg = avg;
+          statsItem.total = total;
+        }
+      }
+    }
+  }
+
+  // 更新图表
+  if (kpiChart.value && kpiChartDom.value) {
+    // 如果有选中的行，只显示选中的指标
+    if (selectedRows.value.length > 0) {
+      Object.keys(chartLegendSelected).forEach(key => {
+        chartLegendSelected[key] = false;
+      });
+
+      kpiStats.value.forEach((item: KPIStats) => {
+        if (selectedRows.value.includes(item.kpiId)) {
+          chartLegendSelected[item.title] = true;
+        }
+      });
+    }
+
+    kpiChart.value.setOption(
+      {
+        legend: {
+          selected: chartLegendSelected,
+        },
+        xAxis: {
+          type: 'category',
+          boundaryGap: false,
+          axisLabel: {
+            color:
+              document.documentElement.getAttribute('data-theme') === 'dark'
+                ? '#CACADA'
+                : '#333',
+          },
+          splitLine: {
+            show: true,
+            lineStyle: {
+              color: getSplitLineColor(),
+            },
+          },
+          data: chartDataXAxisData,
+        },
+        series: chartDataYSeriesData,
+      },
+      {
+        replaceMerge: ['xAxis', 'series'],
+      }
+    );
+  }
+}
+
 /**切换显示类型 图或表格 */
 function fnChangShowType() {
   tableState.showTable = !tableState.showTable;
@@ -700,11 +905,13 @@ function fnRanderChart() {
     },
     series: [], // 数据y轴
   };
-  kpiChart.value.setOption(option); //设置图表配置项，应用到kpiChart实例上
+  if (kpiChart.value && kpiChartDom.value) {
+    kpiChart.value.setOption(option); //设置图表配置项，应用到kpiChart实例上
+  }
 
   // 创建 ResizeObserver 实例 监听图表容器大小变化，并在变化时调整图表大小
   var observer = new ResizeObserver(entries => {
-    if (kpiChart.value) {
+    if (kpiChart.value && kpiChartDom.value) {
       kpiChart.value.resize();
     }
   });
@@ -721,125 +928,10 @@ let chartDataYSeriesData: Record<string, any>[] = [];
 
 /**图表数据渲染 */
 function fnRanderChartData() {
-  if (kpiChart.value == null || tableState.data.length <= 0) {
+  if (!kpiChart.value || !kpiChartDom.value || tableState.data.length <= 0) {
     return;
   }
-
-  // 重置
-  chartLegendSelected = {};
-  chartDataXAxisData = [];
-  chartDataYSeriesData = [];
-
-  // 为每个网元的每个指标创建一条线
-  for (const neId of state.neIds) {
-    for (const columns of tableColumns.value) {
-      if (
-        columns.key === 'neName' ||
-        columns.key === 'startIndex' ||
-        columns.key === 'timeGroup'
-      ) {
-        continue;
-      }
-
-      const kpiId = `${columns.key}_${neId}`;
-      const seriesName = `${columns.title}(${neId})`;
-
-      // 获取或生成颜色
-      const color = kpiColors.get(kpiId) || generateColorRGBA();
-      kpiColors.set(kpiId, color);
-
-      const seriesData = {
-        name: seriesName,
-        key: kpiId,
-        type: 'line',
-        symbol: 'none',
-        symbolSize: 6,
-        smooth: 0.6,
-        showSymbol: true,
-        sampling: 'lttb',
-        itemStyle: {
-          color: color,
-        },
-        areaStyle: {
-          color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
-            {
-              offset: 0,
-              color: color.replace(')', ',0.8)'),
-            },
-            {
-              offset: 1,
-              color: color.replace(')', ',0.3)'),
-            },
-          ]),
-        },
-        data: [] as (number | null)[],
-      };
-
-      chartDataYSeriesData.push(seriesData);
-
-      // 默认所有指标都显示
-      chartLegendSelected[seriesName] = true;
-    }
-  }
-
-  // 获取所有时间点并格式化
-  const timePoints = [
-    ...new Set(tableState.data.map(item => item.timeGroup)),
-  ].sort();
-  chartDataXAxisData = timePoints.map(time => parseDateToStr(+time));
-
-  // 填充数据
-  for (const series of chartDataYSeriesData) {
-    const [kpiKey, neId] = series.key.split('_');
-    const neData = tableState.data.filter(item => item._neId === neId);
-    series.data = timePoints.map(time => {
-      const dataPoint = neData.find(item => item.timeGroup === time);
-      return dataPoint ? +dataPoint[kpiKey] : null;
-    });
-  }
-
-  // 如果有选中的行，只显示选中的指标
-  if (selectedRows.value.length > 0) {
-    Object.keys(chartLegendSelected).forEach(key => {
-      chartLegendSelected[key] = false;
-    });
-
-    kpiStats.value.forEach((item: KPIStats) => {
-      if (selectedRows.value.includes(item.kpiId)) {
-        chartLegendSelected[item.title] = true;
-      }
-    });
-  }
-
-  // 更新图表
-  kpiChart.value.setOption(
-    {
-      legend: {
-        selected: chartLegendSelected,
-      },
-      xAxis: {
-        type: 'category',
-        boundaryGap: false,
-        axisLabel: {
-          color:
-            document.documentElement.getAttribute('data-theme') === 'dark'
-              ? '#CACADA'
-              : '#333',
-        },
-        splitLine: {
-          show: true,
-          lineStyle: {
-            color: getSplitLineColor(),
-          },
-        },
-        data: chartDataXAxisData,
-      },
-      series: chartDataYSeriesData,
-    },
-    {
-      replaceMerge: ['xAxis', 'series'],
-    }
-  );
+  fnUpdateDataWithRealValues(tableState.data);
 }
 
 /**图表折线显示全部 */
@@ -869,89 +961,8 @@ function fnRealTimeSwitch(bool: any) {
     chartDataXAxisData = [];
     chartDataYSeriesData = [];
 
-    // 重新初始化图表配置
-    const option = {
-      tooltip: {
-        trigger: 'axis',
-        position: function (pt: any) {
-          return [pt[0], '10%'];
-        },
-        confine: true,
-        backgroundColor:
-          document.documentElement.getAttribute('data-theme') === 'dark'
-            ? 'rgba(48, 48, 48, 0.8)'
-            : 'rgba(255, 255, 255, 0.9)',
-        borderColor:
-          document.documentElement.getAttribute('data-theme') === 'dark'
-            ? '#555'
-            : '#ddd',
-        textStyle: {
-          color:
-            document.documentElement.getAttribute('data-theme') === 'dark'
-              ? '#CACADA'
-              : '#333',
-        },
-      },
-      xAxis: {
-        type: 'category',
-        boundaryGap: false,
-        data: [],
-        axisLabel: {
-          color:
-            document.documentElement.getAttribute('data-theme') === 'dark'
-              ? '#CACADA'
-              : '#333',
-        },
-        splitLine: {
-          show: true,
-          lineStyle: {
-            color: getSplitLineColor(),
-          },
-        },
-      },
-      yAxis: {
-        type: 'value',
-        boundaryGap: [0, '100%'],
-        axisLabel: {
-          formatter: '{value}',
-          color:
-            document.documentElement.getAttribute('data-theme') === 'dark'
-              ? '#CACADA'
-              : '#333',
-        },
-        splitNumber: 5,
-        scale: true,
-        splitLine: {
-          show: true,
-          lineStyle: {
-            color: getSplitLineColor(),
-          },
-        },
-      },
-      legend: {
-        show: false,
-        type: 'scroll',
-        orient: 'vertical',
-        top: 40,
-        right: 20,
-        itemWidth: 20,
-        itemGap: 25,
-        textStyle: {
-          color: '#646A73',
-        },
-        icon: 'circle',
-        selected: {},
-      },
-      grid: {
-        left: '3%',
-        right: '4%',
-        bottom: '3%',
-        containLabel: true,
-      },
-      series: [],
-    };
-
-    kpiChart.value.setOption(option);
+    // 先创建默认数据结构
+    fnCreateDefaultDataStructure();
 
     // 建立链接
     const options: OptionsType = {
@@ -1051,7 +1062,7 @@ function wsMessage(res: Record<string, any>) {
 
   // 使用 requestAnimationFrame 更新图表
   requestAnimationFrame(() => {
-    if (!kpiChart.value) return;
+    if (!kpiChart.value || !kpiChartDom.value) return;
 
     // 重新生成 series 数据
     const series = [];
@@ -1139,6 +1150,7 @@ function wsMessage(res: Record<string, any>) {
 
 // 添加更新统计数据的函数
 function updateKpiStats() {
+  // 清空现有统计数据
   kpiStats.value = [];
 
   // 为每个指标和每个网元创建统计数据
@@ -1156,32 +1168,41 @@ function updateKpiStats() {
       // 过滤该网元的数据
       const neData = tableState.data.filter(item => item._neId === neId);
 
-      if (neData.length === 0) continue;
-
-      const values = neData.map((item: any) => {
-        return item[columns.key] ? Number(item[columns.key]) : 0;
-      });
-
-      // 计算总值
-      const total = Number(
-        values.reduce((sum, val) => sum + val, 0).toFixed(2)
-      );
-
-      // 计算平均值
-      const avg =
-        values.length > 0 ? Number((total / values.length).toFixed(2)) : 0;
-
-      kpiStats.value.push({
+      // 创建统计项（即使没有数据也创建）
+      const statsItem = {
         kpiId: `${columns.key}_${neId}`,
         title: `${columns.title}(${neId})`,
         rawKpiId: columns.key,
         rawKpiTitle: columns.title,
         neId: neId,
-        max: values.length > 0 ? Math.max(...values) : 0,
-        min: values.length > 0 ? Math.min(...values) : 0,
-        avg: avg,
-        total: total,
-      });
+        max: 0,
+        min: 0,
+        avg: 0,
+        total: 0,
+      };
+
+      if (neData.length > 0) {
+        // 有数据时计算统计值
+        const values = neData.map((item: any) => {
+          return item[columns.key] ? Number(item[columns.key]) : 0;
+        });
+
+        // 计算总值
+        const total = Number(
+          values.reduce((sum, val) => sum + val, 0).toFixed(2)
+        );
+
+        // 计算平均值
+        const avg =
+          values.length > 0 ? Number((total / values.length).toFixed(2)) : 0;
+
+        statsItem.max = values.length > 0 ? Math.max(...values) : 0;
+        statsItem.min = values.length > 0 ? Math.min(...values) : 0;
+        statsItem.avg = avg;
+        statsItem.total = total;
+      }
+
+      kpiStats.value.push(statsItem);
     }
   }
 }
@@ -1414,6 +1435,10 @@ onMounted(() => {
 
 onBeforeUnmount(() => {
   ws.close();
+  if (kpiChart.value) {
+    kpiChart.value.dispose();
+    kpiChart.value = null;
+  }
 });
 </script>