1101 lines
29 KiB
Vue
1101 lines
29 KiB
Vue
<script lang="ts" setup>
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import { ref, onMounted, onUnmounted, nextTick, computed, h } from 'vue';
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import * as echarts from 'echarts/core';
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import {
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GridComponent,
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TooltipComponent,
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TitleComponent,
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LegendComponent,
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} from 'echarts/components';
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import { LineChart } from 'echarts/charts';
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import { CanvasRenderer } from 'echarts/renderers';
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import { getKPITitle, listKPIData } from '@/api/perfManage/goldTarget';
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import useI18n from '@/hooks/useI18n';
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import { message } from 'ant-design-vue';
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import {
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RESULT_CODE_ERROR,
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RESULT_CODE_SUCCESS,
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} from '@/constants/result-constants';
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import type { Dayjs } from 'dayjs';
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import dayjs from 'dayjs';
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import { OptionsType, WS } from '@/plugins/ws-websocket';
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import { generateColorRGBA } from '@/utils/generate-utils';
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import { LineOutlined } from '@ant-design/icons-vue';
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import { TableColumnType } from 'ant-design-vue';
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const { t, currentLocale } = useI18n();
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//定义KPI接口
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interface KPIBase {
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kpiId: string;
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title: string;
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}
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//继承接口
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interface KPIColumn extends KPIBase {
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dataIndex: string;
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key: string;
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neType: string;
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}
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// 在这里定义 ChartDataItem 接口
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interface ChartDataItem {
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date: string; // 将存储完整的时间字符串包含时分秒
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[kpiId: string]: string | number; // 动态指标
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}
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const tableLoading = ref(false);
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const rangeLoading = ref(false);
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//网元类型定义
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const ALL_NE_TYPES = ['AMF', 'SMF', 'UPF', 'MME', 'IMS', 'SMSC'] as const;
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type NeType = (typeof ALL_NE_TYPES)[number];
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echarts.use([
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LineChart,
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GridComponent,
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TooltipComponent,
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TitleComponent,
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CanvasRenderer,
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LegendComponent,
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]);
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// WebSocket连接
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const ws = ref<WS | null>(null);
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//时间选择
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// let ranges = ref<Record<string, [Dayjs, Dayjs]>>({
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// [t('views.perfManage.customTarget.sixHoursAgo')]: [
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// dayjs().subtract(6, 'hours'),
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// dayjs(),
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// ],
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// [t('views.perfManage.customTarget.threeHoursAgo')]: [
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// dayjs().subtract(3, 'hours'),
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// dayjs(),
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// ],
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// [t('views.monitor.monitor.today')]: [dayjs().startOf('day'), dayjs()],
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// });
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const ranges = ref([
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{
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label: t('views.perfManage.customTarget.sixHoursAgo'),
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value: [dayjs().subtract(6, 'hours'), dayjs()],
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},
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{
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label: t('views.perfManage.customTarget.threeHoursAgo'),
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value: [dayjs().subtract(3, 'hours'), dayjs()],
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},
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{
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label: t('views.monitor.monitor.today'),
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value: [dayjs().startOf('day'), dayjs()],
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},
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]);
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//日期范围响应式变量
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const dateRange = ref<[string, string]>([
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dayjs().subtract(1, 'hour').startOf('hour').valueOf().toString(), // 上一小时开始
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dayjs().startOf('hour').add(1, 'hour').valueOf().toString(), // 当前小时结束
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]);
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//实时数据状态
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const isRealtime = ref(false);
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//图表数据响应式数组
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const chartData = ref<ChartDataItem[]>([]);
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//储存Echarts的实例的变量
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let chart: echarts.ECharts | null = null;
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//observer 变量 监听图表容器大小
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let observer: ResizeObserver | null = null;
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//日期变化时更新图表数据
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const handleDateChange = (
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value: [string, string] | [Dayjs, Dayjs],
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dateStrings: [string, string]
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) => {
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if (!dateStrings[0] || !dateStrings[1]) {
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console.warn('Invalid date strings:', dateStrings);
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return;
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}
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dateRange.value = [
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dayjs(dateStrings[0]).valueOf().toString(),
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dayjs(dateStrings[1]).valueOf().toString(),
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];
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fetchChartData();
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};
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//切换实时数据
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const toggleRealtime = () => {
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fnRealTimeSwitch(isRealtime.value);
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};
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// 定义要筛选的指标 ID，按网元类型组织
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const TARGET_KPI_IDS: Record<NeType, string[]> = {
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AMF: ['AMF.02', 'AMF.03', 'AMF.A.07', 'AMF.A.08'],
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SMF: ['SMF.02', 'SMF.03', 'SMF.04', 'SMF.05'],
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UPF: ['UPF.03', 'UPF.04', 'UPF.05', 'UPF.06'],
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MME: ['MME.A.01', 'MME.A.02', 'MME.A.03'],
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IMS: ['SCSCF.01', 'SCSCF.02', 'SCSCF.05', 'SCSCF.06'],
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SMSC: ['SMSC.A.01', 'SMSC.A.02', 'SMSC.A.03'],
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};
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// 实时数据开关函数
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const fnRealTimeSwitch = (bool: boolean) => {
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if (bool) {
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if (!chart) {
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isRealtime.value = false;
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return;
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}
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if (!ws.value) {
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ws.value = new WS();
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}
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chartData.value = [];
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tableLoading.value = true;
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const options: OptionsType = {
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url: '/ws',
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params: {
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subGroupID: ALL_NE_TYPES.map(type => `10_${type}_001`).join(','),
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},
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onmessage: wsMessage,
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onerror: wsError,
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};
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ws.value.connect(options);
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} else if (ws.value) {
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ws.value.close(); //断开链接
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ws.value = null; //清空链接
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tableLoading.value = false;
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}
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};
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// 接收数据后错误回调
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const wsError = () => {
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message.error(t('common.websocketError'));
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};
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const handleWebSocketMessage = (kpiEvent: any) => {
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if (!kpiEvent) return;
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// 构造新的数据点
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const newData: ChartDataItem = {
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date: kpiEvent.timeGroup?.toString() || Date.now().toString(),
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};
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// 添加已选中的指标的数据
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selectedKPIs.value.forEach(kpiId => {
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newData[kpiId] = Number(kpiEvent[kpiId]) || 0;
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});
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// 更新数据
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updateChartData(newData);
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if (tableLoading.value) {
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tableLoading.value = false;
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}
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};
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//成功回调
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const wsMessage = (res: Record<string, any>) => {
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if (!chart) {
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return;
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}
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const { code, data } = res;
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if (code === RESULT_CODE_ERROR || !data?.groupId) return;
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handleWebSocketMessage(data.data);
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};
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// 添加数据处理函数
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const processChartData = (rawData: any[]) => {
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const groupedData = new Map<string, any>(); //数据按时间分组
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rawData.forEach(item => {
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//合并相同时间点的数据
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const timeKey = item.timeGroup;
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if (!groupedData.has(timeKey)) {
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//按时间排序
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groupedData.set(timeKey, { timeGroup: timeKey });
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}
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Object.assign(groupedData.get(timeKey), item);
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});
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return Array.from(groupedData.values())
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.sort((a, b) => Number(a.timeGroup) - Number(b.timeGroup))
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.map(item => {
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//转换成图表需要的格式
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const dataItem: ChartDataItem = { date: item.timeGroup.toString() };
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selectedKPIs.value.forEach(kpiId => {
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dataItem[kpiId] = Number(item[kpiId]) || 0;
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});
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return dataItem;
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});
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};
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// 获取图表数据方法
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const fetchChartData = async () => {
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if (kpiColumns.value.length === 0) {
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updateChart();
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return;
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}
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tableLoading.value = true;
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rangeLoading.value = true;
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try {
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const [startTime, endTime] = dateRange.value;
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if (!startTime || !endTime) {
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console.warn('Invalid date range:', dateRange.value);
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return;
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}
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// 创建并行请求数组
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const requests = ALL_NE_TYPES.map(async neType => {
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const params = {
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neType,
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neId: '001',
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startTime: String(startTime),
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endTime: String(endTime),
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sortField: 'timeGroup',
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sortOrder: 'asc',
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interval: 60 * 15,
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kpiIds: TARGET_KPI_IDS[neType].join(','),
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};
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try {
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const res = await listKPIData(params);
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if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
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return res.data;
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}
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return [];
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} catch (error) {
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console.error(`Failed to fetch data for ${neType}:`, error);
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return [];
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}
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});
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// 并行执行所有请求
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const results = await Promise.all(requests);
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const allData = results.flat();
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chartData.value = processChartData(allData);
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updateChart();
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updateKpiStats();
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} catch (error) {
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console.error('Failed to fetch chart data:', error);
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message.error(t('common.getInfoFail'));
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} finally {
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tableLoading.value = false;
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rangeLoading.value = false;
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}
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};
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// 存储每个指标的临时固定颜色
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const kpiColors = new Map<string, string>();
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// 更新图表类型
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const getSeriesConfig = () => ({
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symbol: 'none',
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symbolSize: 6,
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smooth: 0.6,
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showSymbol: true,
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});
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// 添加一个函数来获取当前主题下的网格线颜色
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const getSplitLineColor = () => {
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return document.documentElement.getAttribute('data-theme') === 'dark'
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? '#333333'
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: '#E8E8E8'; // 亮色模式返回 undefined，使用默认颜色
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};
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// 添加主题变化的观察器
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const themeObserver = new MutationObserver(() => {
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if (chart) {
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//清空颜色缓存
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kpiColors.clear();
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// 获取当前的主题色
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const splitLineColor = getSplitLineColor();
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// 重新设置完整的图表配置并触发重新渲染
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requestAnimationFrame(() => {
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// 先生成所有新的颜色并存储
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selectedKPIs.value.forEach(kpiId => {
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const color = generateColorRGBA();
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kpiColors.set(kpiId, color);
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});
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// 使用存储的颜色更新图表系列
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const series = selectedKPIs.value
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.map(kpiId => {
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const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
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if (!kpi) return null;
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return {
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name: kpi.title,
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type: 'line',
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data: chartData.value.map(item => item[kpiId] || 0),
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itemStyle: { color: kpiColors.get(kpiId) },
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...getSeriesConfig(),
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};
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})
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.filter(Boolean);
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const option = {
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title: {
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text: t('views.perfManage.kpiOverView.kpiChartTitle'),
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left: 'center',
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textStyle: {
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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},
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xAxis: {
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// 保持现有的 xAxis 配置
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type: 'category',
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boundaryGap: false,
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data: chartData.value.map(item =>
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dayjs(Number(item.date)).format('YYYY-MM-DD HH:mm:ss')
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),
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axisLabel: {
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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splitLine: {
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show: true,
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lineStyle: {
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color: splitLineColor,
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},
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},
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},
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yAxis: {
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type: 'value',
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axisLabel: {
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formatter: '{value}',
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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splitNumber: 5,
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scale: true,
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splitLine: {
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show: true,
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lineStyle: {
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color: splitLineColor,
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},
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},
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},
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legend: {
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show: false,
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selected: Object.fromEntries(
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selectedKPIs.value.map(kpiId => [
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kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId,
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selectedRows.value.length === 0
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? true
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: selectedRows.value.includes(kpiId),
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])
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),
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},
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tooltip: {
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trigger: 'axis',
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confine: true, // 限制 tooltip 显示范围
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backgroundColor:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? 'rgba(48, 48, 48, 0.8)'
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: 'rgba(255, 255, 255, 0.9)',
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borderColor:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#555'
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: '#ddd',
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textStyle: {
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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extraCssText: 'box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);',
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},
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// 重新设置系列数据
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series,
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};
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// 使用新的配置更新图表
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chart!.setOption(option, true);
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// 强制重新渲染
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chart!.resize();
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// 更新统计数据
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nextTick(() => {
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updateKpiStats();
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});
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});
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}
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});
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const updateChart = () => {
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if (!chart || !kpiColumns.value.length) return;
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//获取图表配置
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const commonConfig = getSeriesConfig();
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//构建数据系列
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const series = selectedKPIs.value
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.map(kpiId => {
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const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
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if (!kpi) return null;
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//为每个KPI分配临时的固定颜色
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const color = kpiColors.get(kpiId) || generateColorRGBA();
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kpiColors.set(kpiId, color);
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return {
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name: kpi.title,
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type: 'line',
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data: chartData.value.map(item => item[kpiId] || 0),
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itemStyle: { color },
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...commonConfig,
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};
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})
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.filter(Boolean);
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const option = {
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title: {
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text: t('views.perfManage.kpiOverView.kpiChartTitle'),
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left: 'center',
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// 添加文字颜色配置，根据主题切换
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textStyle: {
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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},
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tooltip: {
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trigger: 'axis',
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confine: true, // 限制 tooltip 显示范围
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backgroundColor:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? 'rgba(48, 48, 48, 0.8)'
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: 'rgba(255, 255, 255, 0.9)',
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borderColor:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#555'
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: '#ddd',
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textStyle: {
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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extraCssText: 'box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);',
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},
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legend: {
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data: selectedKPIs.value.map(
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kpiId =>
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kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId
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),
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type: 'scroll',
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orient: 'horizontal',
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top: 25,
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textStyle: {
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fontSize: 12,
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},
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selected: Object.fromEntries(
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selectedKPIs.value.map(kpiId => [
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kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId,
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selectedRows.value.length === 0
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? true
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: selectedRows.value.includes(kpiId),
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])
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),
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show: false,
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left: 'center',
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width: '80%',
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height: 50,
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padding: [5, 10],
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},
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grid: {
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//网格配置
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left: '6%',
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right: '6%',
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bottom: '3%',
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containLabel: true,
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},
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xAxis: {
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// 指定x轴类型为类目轴，适用于离散的类目数据
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type: 'category',
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axisLabel: {
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formatter: '{value}',
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color:
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document.documentElement.getAttribute('data-theme') === 'dark'
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? '#CACADA'
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: '#333',
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},
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splitLine: {
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show: true,
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lineStyle: {
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color: getSplitLineColor(),
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},
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},
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||
//控制坐标轴两边留白
|
||
// 当为折线图时(isLine为true)时不留白，柱状图时留白
|
||
// 这样可以让折线图从原点开始，柱状图有合适的间距
|
||
boundaryGap: false,
|
||
// 设置x轴的数据
|
||
// 将时间戳转换为格式化的时间字符串
|
||
data: chartData.value.map(item =>
|
||
dayjs(Number(item.date)).format('YYYY-MM-DD HH:mm:ss')
|
||
),
|
||
//设置坐标轴刻度标签的样式
|
||
// axisLabel: {
|
||
// interval: function(index: number, value: string) {
|
||
// const currentTime = dayjs(value);
|
||
// const minutes = currentTime.minute();
|
||
// const seconds = currentTime.second();
|
||
//
|
||
// // 始终显示小时的起始和结束时间点
|
||
// if ((minutes === 0 && seconds === 0) ||
|
||
// (minutes === 59 && seconds === 59)) {
|
||
// return true;
|
||
// }
|
||
//
|
||
// // 对于中间的时间点，使用 auto 的逻辑
|
||
// if (index % Math.ceil(chartData.value.length / 6) === 0) {
|
||
// return true;
|
||
// }
|
||
//
|
||
// return false;
|
||
// },
|
||
// rotate: 0,
|
||
// align: 'center',
|
||
// hideOverlap: true
|
||
// }
|
||
},
|
||
yAxis: {
|
||
// y轴配置
|
||
type: 'value',
|
||
axisLabel: {
|
||
formatter: '{value}',
|
||
color:
|
||
document.documentElement.getAttribute('data-theme') === 'dark'
|
||
? '#CACADA'
|
||
: '#333',
|
||
},
|
||
// 添加自计算的分割段数
|
||
splitNumber: 5,
|
||
// 添加自动计算的最小/最大值范围
|
||
scale: true,
|
||
splitLine: {
|
||
show: true,
|
||
lineStyle: {
|
||
color: getSplitLineColor(),
|
||
},
|
||
},
|
||
},
|
||
series: series, //配置数据
|
||
};
|
||
if (chart) {
|
||
requestAnimationFrame(() => {
|
||
chart!.setOption(option, true); //使用新的配置更新图表
|
||
chart!.resize(); //调整图表大小适应容器
|
||
});
|
||
}
|
||
// 如果已经有 observer，先断开连接
|
||
if (observer) {
|
||
observer.disconnect();
|
||
}
|
||
|
||
// 创建新的 ResizeObserver
|
||
observer = new ResizeObserver(() => {
|
||
if (chart) {
|
||
chart.resize();
|
||
}
|
||
});
|
||
|
||
// 观察图表容器
|
||
const container = document.getElementById('chartContainer');
|
||
if (container) {
|
||
observer.observe(container);
|
||
}
|
||
};
|
||
|
||
//钩子函数
|
||
onMounted(async () => {
|
||
try {
|
||
// 获取所有网元的指标
|
||
await fetchSpecificKPI();
|
||
await nextTick();
|
||
|
||
const container = document.getElementById('chartContainer');
|
||
if (container && !chart) {
|
||
chart = echarts.init(container);
|
||
|
||
if (kpiColumns.value.length > 0) {
|
||
await fetchChartData();
|
||
updateChart();
|
||
} else {
|
||
console.warn('No KPI columns available after fetching');
|
||
}
|
||
} else if (chart) {
|
||
console.warn('Chart already initialized, skipping initialization');
|
||
} else {
|
||
console.error('Chart container not found');
|
||
}
|
||
// 添加主题观察器
|
||
themeObserver.observe(document.documentElement, {
|
||
attributes: true,
|
||
attributeFilter: ['data-theme'],
|
||
});
|
||
} catch (error) {
|
||
console.error('Failed to initialize:', error);
|
||
message.error(t('common.initFail'));
|
||
}
|
||
});
|
||
|
||
// 存储指标列信
|
||
const kpiColumns = ref<KPIColumn[]>([]);
|
||
// 添加选中指标的的状态
|
||
const selectedKPIs = ref<string[]>(Object.values(TARGET_KPI_IDS).flat());
|
||
|
||
// 获取网元指标
|
||
const fetchSpecificKPI = async () => {
|
||
const language =
|
||
currentLocale.value.split('_')[0] === 'zh'
|
||
? 'cn'
|
||
: currentLocale.value.split('_')[0];
|
||
|
||
try {
|
||
let allKPIs: KPIColumn[] = [];
|
||
|
||
// 获取所有网元的指标
|
||
for (const neType of ALL_NE_TYPES) {
|
||
const res = await getKPITitle(neType.toUpperCase());
|
||
|
||
if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
|
||
const formattedKPIs = res.data.map(item => ({
|
||
title: item[`${language}Title`],
|
||
dataIndex: item.kpiId,
|
||
key: item.kpiId,
|
||
kpiId: item.kpiId,
|
||
neType: neType,
|
||
}));
|
||
|
||
allKPIs = [...allKPIs, ...formattedKPIs];
|
||
}
|
||
}
|
||
|
||
kpiColumns.value = allKPIs;
|
||
// 直接使用重要指标
|
||
selectedKPIs.value = Object.values(TARGET_KPI_IDS).flat();
|
||
|
||
if (kpiColumns.value.length === 0) {
|
||
console.warn('No KPIs found');
|
||
} else {
|
||
console.log(`Found ${kpiColumns.value.length} total KPIs`);
|
||
}
|
||
|
||
return kpiColumns.value;
|
||
} catch (error) {
|
||
console.error('Failed to fetch KPI titles:', error);
|
||
message.error(t('common.getInfoFail'));
|
||
return [];
|
||
}
|
||
};
|
||
|
||
// onUnmounted 钩子
|
||
onUnmounted(() => {
|
||
if (ws.value && ws.value.state() === WebSocket.OPEN) {
|
||
ws.value.close();
|
||
}
|
||
if (observer) {
|
||
observer.disconnect();
|
||
observer = null;
|
||
}
|
||
if (chart) {
|
||
chart.dispose();
|
||
chart = null;
|
||
}
|
||
// 断开主题观察器
|
||
themeObserver.disconnect();
|
||
});
|
||
|
||
// 实时数据更新图表数据方法
|
||
const updateChartData = (newData: ChartDataItem) => {
|
||
if (!chart) {
|
||
return;
|
||
}
|
||
chartData.value.push(newData);
|
||
if (chartData.value.length > 100) {
|
||
//100改为50
|
||
chartData.value.shift(); //大于100条时删除最早的数据
|
||
}
|
||
//使用try-catch包裹图表更新逻辑
|
||
try {
|
||
requestAnimationFrame(() => {
|
||
if (!chart) return;
|
||
const option = {
|
||
xAxis: {
|
||
data: chartData.value.map(item =>
|
||
dayjs(Number(item.date)).format('YYYY-MM-DD HH:mm:ss')
|
||
),
|
||
},
|
||
series: selectedKPIs.value.map(kpiId => {
|
||
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
|
||
return {
|
||
type: 'line',
|
||
data: chartData.value.map(item => item[kpiId] || 0),
|
||
name: kpi?.title || kpiId,
|
||
};
|
||
}),
|
||
};
|
||
chart.setOption(option);
|
||
});
|
||
} catch (error) {
|
||
console.error('Failed to update chart:', error);
|
||
}
|
||
};
|
||
|
||
// 添加一个接口定义指标统计数据的类型
|
||
interface KPIStats {
|
||
kpiId: string;
|
||
title: string;
|
||
max: number;
|
||
min: number;
|
||
avg: number;
|
||
total: number;
|
||
}
|
||
|
||
// 添加计算属性，用于计算每个指标的最大值和最小值
|
||
// 将 kpiStats 从计算属性改为响应式引用
|
||
const kpiStats = ref<KPIStats[]>([]);
|
||
|
||
// 添加一个计算函数来更新统计数据
|
||
const updateKpiStats = () => {
|
||
if (!chartData.value.length || !kpiColumns.value.length) {
|
||
kpiStats.value = [];
|
||
return;
|
||
}
|
||
kpiStats.value = selectedKPIs.value
|
||
.map(kpiId => {
|
||
// 找到对应的KPI标题
|
||
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
|
||
if (!kpi) return null;
|
||
|
||
// 获取该指标的所有数值
|
||
const values = chartData.value.map(item => Number(item[kpiId]) || 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;
|
||
|
||
return {
|
||
kpiId: kpiId,
|
||
title: kpi.title,
|
||
max: Math.max(...values),
|
||
min: Math.min(...values),
|
||
avg: avg,
|
||
total: total,
|
||
};
|
||
})
|
||
.filter((item): item is KPIStats => item !== null);
|
||
};
|
||
|
||
// 添加表列定义
|
||
const statsColumns: TableColumnType<KPIStats>[] = [
|
||
{
|
||
title: '',
|
||
key: 'icon',
|
||
width: 50,
|
||
customRender: ({ record }: { record: KPIStats }) => {
|
||
// 获取当前主题下的颜色
|
||
// 直接使用 kpiColors 中存储的颜色
|
||
const color = kpiColors.get(record.kpiId);
|
||
return h(LineOutlined, {
|
||
style: {
|
||
color: color || '#000', // 使用与折线图相同的颜色
|
||
fontSize: '30px', // 增大图标尺寸到30px
|
||
fontWeight: 'bold', // 加粗
|
||
},
|
||
});
|
||
},
|
||
},
|
||
{
|
||
title: t('views.perfManage.kpiOverView.kpiName'),
|
||
dataIndex: 'title',
|
||
key: 'title',
|
||
width: '50%',
|
||
},
|
||
{
|
||
title: t('views.perfManage.kpiOverView.totalValue'),
|
||
dataIndex: 'total',
|
||
key: 'total',
|
||
width: '12%',
|
||
sorter: (a: KPIStats, b: KPIStats) => a.total - b.total,
|
||
sortDirections: ['ascend', 'descend'],
|
||
},
|
||
{
|
||
title: t('views.perfManage.kpiOverView.avgValue'),
|
||
dataIndex: 'avg',
|
||
key: 'avg',
|
||
width: '12%',
|
||
sorter: (a: KPIStats, b: KPIStats) => a.avg - b.avg,
|
||
sortDirections: ['ascend', 'descend'],
|
||
},
|
||
{
|
||
title: t('views.perfManage.kpiOverView.maxValue'),
|
||
dataIndex: 'max',
|
||
key: 'max',
|
||
width: '12%',
|
||
sorter: (a: KPIStats, b: KPIStats) => a.max - b.max, // 添加排序函数
|
||
sortDirections: ['ascend', 'descend'],
|
||
},
|
||
{
|
||
title: t('views.perfManage.kpiOverView.minValue'),
|
||
dataIndex: 'min',
|
||
key: 'min',
|
||
width: '12%',
|
||
sorter: (a: KPIStats, b: KPIStats) => a.min - b.min,
|
||
sortDirections: ['ascend', 'descend'],
|
||
},
|
||
];
|
||
|
||
// 将 selectedRow 改为 selectedRows 数组
|
||
const selectedRows = ref<string[]>([]);
|
||
|
||
// 修改处理行点击的方法
|
||
const handleRowClick = (record: KPIStats) => {
|
||
const index = selectedRows.value.indexOf(record.kpiId);
|
||
if (index > -1) {
|
||
// 如果已经选中，则取消选中
|
||
selectedRows.value.splice(index, 1);
|
||
} else {
|
||
// 添加新的选中项
|
||
selectedRows.value.push(record.kpiId);
|
||
}
|
||
// 更新图表显示
|
||
updateChartLegendSelect();
|
||
};
|
||
|
||
// 修改更新图表图例选中态的方法
|
||
const updateChartLegendSelect = () => {
|
||
if (!chart) return;
|
||
|
||
const legendSelected = Object.fromEntries(
|
||
selectedKPIs.value.map(kpiId => [
|
||
kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId,
|
||
selectedRows.value.length === 0
|
||
? true
|
||
: selectedRows.value.includes(kpiId),
|
||
])
|
||
);
|
||
|
||
chart.setOption({
|
||
legend: {
|
||
selected: legendSelected,
|
||
},
|
||
});
|
||
};
|
||
|
||
// 修改表格行的自定义配置
|
||
const tableRowConfig = computed(() => {
|
||
return (record: KPIStats) => ({
|
||
onClick: () => handleRowClick(record),
|
||
class: selectedRows.value.includes(record.kpiId) ? 'selected-row' : '',
|
||
});
|
||
});
|
||
</script>
|
||
<template>
|
||
<div class="kpi-overview">
|
||
<div class="controls">
|
||
<a-range-picker
|
||
v-model:value="dateRange"
|
||
:show-time="{ format: 'HH:mm:ss' }"
|
||
format="YYYY-MM-DD HH:mm:ss"
|
||
:value-format="'x'"
|
||
:disabled="isRealtime"
|
||
:presets="ranges"
|
||
:loading="rangeLoading"
|
||
@change="handleDateChange"
|
||
/>
|
||
<a-form-item
|
||
:label="
|
||
isRealtime
|
||
? t('views.dashboard.cdr.realTimeDataStop')
|
||
: t('views.dashboard.cdr.realTimeDataStart')
|
||
"
|
||
>
|
||
<a-switch v-model:checked="isRealtime" @change="toggleRealtime" />
|
||
</a-form-item>
|
||
</div>
|
||
<div class="chart-wrapper">
|
||
<div id="chartContainer" class="chart-container"></div>
|
||
<div class="table-container">
|
||
<a-table
|
||
:columns="statsColumns"
|
||
:data-source="kpiStats"
|
||
:pagination="false"
|
||
:scroll="{ y: 250 }"
|
||
size="small"
|
||
:loading="tableLoading"
|
||
:custom-row="tableRowConfig"
|
||
>
|
||
<template #headerCell="{ column }">
|
||
<template v-if="column.key === 'total'">
|
||
<span>
|
||
{{ t('views.perfManage.kpiOverView.totalValue') }}
|
||
<a-tooltip placement="bottom">
|
||
<template #title>
|
||
<span>Sum within Time Range</span>
|
||
</template>
|
||
<InfoCircleOutlined />
|
||
</a-tooltip>
|
||
</span>
|
||
</template>
|
||
<template v-if="column.key === 'avg'">
|
||
<span>
|
||
{{ t('views.perfManage.kpiOverView.avgValue') }}
|
||
<a-tooltip placement="bottom">
|
||
<template #title>
|
||
<span>Average value over the time range</span>
|
||
</template>
|
||
<InfoCircleOutlined />
|
||
</a-tooltip>
|
||
</span>
|
||
</template>
|
||
<template v-if="column.key === 'max'">
|
||
<span>
|
||
{{ t('views.perfManage.kpiOverView.maxValue') }}
|
||
<a-tooltip placement="bottom">
|
||
<template #title>
|
||
<span>Maximum value in time range</span>
|
||
</template>
|
||
<InfoCircleOutlined />
|
||
</a-tooltip>
|
||
</span>
|
||
</template>
|
||
<template v-if="column.key === 'min'">
|
||
<span>
|
||
{{ t('views.perfManage.kpiOverView.minValue') }}
|
||
<a-tooltip placement="bottom">
|
||
<template #title>
|
||
<span>Minimum value in the time range</span>
|
||
</template>
|
||
<InfoCircleOutlined />
|
||
</a-tooltip>
|
||
</span>
|
||
</template>
|
||
</template>
|
||
</a-table>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</template>
|
||
<style scoped>
|
||
.kpi-overview {
|
||
padding: 20px;
|
||
}
|
||
|
||
.controls {
|
||
display: flex;
|
||
gap: 16px;
|
||
margin-bottom: 20px;
|
||
align-items: center;
|
||
}
|
||
|
||
.chart-wrapper {
|
||
border-radius: 4px;
|
||
padding: 20px;
|
||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.05);
|
||
}
|
||
|
||
[data-theme='light'] .chart-wrapper {
|
||
background: #fff;
|
||
}
|
||
|
||
[data-theme='dark'] .chart-wrapper {
|
||
background: #1f1f1f;
|
||
}
|
||
|
||
.chart-container {
|
||
height: 400px;
|
||
width: 100%;
|
||
}
|
||
|
||
.table-container {
|
||
height: 282px;
|
||
width: 100%;
|
||
margin-top: 20px;
|
||
overflow: hidden;
|
||
display: flex;
|
||
flex-direction: column;
|
||
}
|
||
|
||
/* 表格布局相关样式 */
|
||
:deep(.ant-table-wrapper),
|
||
:deep(.ant-table),
|
||
:deep(.ant-table-container),
|
||
:deep(.ant-table-content) {
|
||
flex: 1;
|
||
display: flex;
|
||
flex-direction: column;
|
||
}
|
||
|
||
:deep(.ant-table-body) {
|
||
flex: 1;
|
||
overflow-y: auto !important;
|
||
min-height: 0;
|
||
}
|
||
|
||
/* 表格行和表头样式 */
|
||
:deep(.ant-table-thead tr th),
|
||
:deep(.ant-table-tbody tr td) {
|
||
padding: 8px;
|
||
height: 40px;
|
||
}
|
||
|
||
/* 组件统一样式 */
|
||
:deep(.ant-form-item),
|
||
:deep(.ant-picker),
|
||
:deep(.ant-btn) {
|
||
height: 32px;
|
||
}
|
||
|
||
:deep(.ant-form-item) {
|
||
margin-bottom: 0;
|
||
display: flex;
|
||
align-items: center;
|
||
}
|
||
|
||
/* 美化滚动条样式 */
|
||
:deep(.ant-table-body::-webkit-scrollbar) {
|
||
width: 6px;
|
||
height: 6px;
|
||
}
|
||
|
||
:deep(.ant-table-body::-webkit-scrollbar-thumb) {
|
||
background: #ccc;
|
||
border-radius: 3px;
|
||
}
|
||
|
||
:deep(.ant-table-body::-webkit-scrollbar-track) {
|
||
background: #f1f1f1;
|
||
border-radius: 3px;
|
||
}
|
||
|
||
[data-theme='dark'] :deep(.ant-table-body::-webkit-scrollbar-thumb) {
|
||
background: #4c4c4c;
|
||
}
|
||
|
||
[data-theme='dark'] :deep(.ant-table-body::-webkit-scrollbar-track) {
|
||
background: #2a2a2a;
|
||
}
|
||
|
||
/* 选中行样式 */
|
||
:deep(.selected-row) {
|
||
background-color: rgba(24, 144, 255, 0.1) !important;
|
||
}
|
||
|
||
[data-theme='dark'] :deep(.selected-row) {
|
||
background-color: rgba(24, 144, 255, 0.2) !important;
|
||
}
|
||
|
||
/* 选中行悬停效果 */
|
||
:deep(.selected-row:hover) {
|
||
background-color: rgba(24, 144, 255, 0.2) !important;
|
||
}
|
||
|
||
[data-theme='dark'] :deep(.selected-row:hover) {
|
||
background-color: rgba(24, 144, 255, 0.3) !important;
|
||
}
|
||
|
||
/* 鼠标悬停样式 */
|
||
:deep(.ant-table-tbody tr:hover) {
|
||
cursor: pointer;
|
||
}
|
||
</style>
|