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feat:关键指标、黄金指标仪表盘多网元实现

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zhongzm
2025-05-22 15:00:27 +08:00
parent f42b921a50
commit 1aa1b471a5
2 changed files with 934 additions and 406 deletions
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859
src/views/perfManage/goldTarget/index.vue
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481
src/views/perfManage/kpiOverView/index.vue
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@@ -22,6 +22,7 @@ import { OptionsType, WS } from '@/plugins/ws-websocket';
import { generateColorRGBA } from '@/utils/generate-utils';
import { LineOutlined } from '@ant-design/icons-vue';
import { TableColumnType } from 'ant-design-vue';
import useNeInfoStore from '@/store/modules/neinfo';
const { t, currentLocale } = useI18n();
//定义KPI接口
interface KPIBase {
@@ -147,6 +148,50 @@ const KPI_TITLE: Record<string, string> = {
'SCSCF.08': 'MT Call Attempt',
};
// 添加网元信息 store
const neInfoStore = useNeInfoStore();
// 添加网元列表相关变量
const neList = ref<Record<NeType, {neId: string, neName: string}[]>>({
AMF: [],
UPF: [],
IMS: []
});
// 添加获取网元列表的函数
const fetchNeList = async () => {
try {
const res = await neInfoStore.fnNelist();
if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
// 初始化网元列表
ALL_NE_TYPES.forEach(type => {
neList.value[type] = [];
});
// 过滤并分类网元
res.data.forEach(ne => {
const neType = ne.neType as NeType;
if (ALL_NE_TYPES.includes(neType)) {
neList.value[neType].push({
neId: ne.neId,
neName: ne.neName
});
}
});
console.log('网元列表获取成功:', neList.value);
} else {
message.warning({
content: t('common.noData'),
duration: 2,
});
}
} catch (error) {
console.error('Failed to fetch NE list:', error);
message.error(t('common.getInfoFail'));
}
};
// 实时数据开关函数
const fnRealTimeSwitch = (bool: boolean) => {
if (bool) {
@@ -163,15 +208,18 @@ const fnRealTimeSwitch = (bool: boolean) => {
const options: OptionsType = {
url: '/ws',
params: {
subGroupID: ALL_NE_TYPES.map(type => `10_${type}_001`).join(','),
// 为所有网元创建订阅
subGroupID: ALL_NE_TYPES.flatMap(type =>
neList.value[type].map(ne => `10_${type}_${ne.neId}`)
).join(','),
},
onmessage: wsMessage,
onerror: wsError,
};
ws.value.connect(options);
} else if (ws.value) {
ws.value.close(); //断开链接
ws.value = null; //清空链接
ws.value.close();
ws.value = null;
tableLoading.value = false;
}
};
@@ -181,26 +229,6 @@ const wsError = () => {
message.error(t('common.websocketError'));
};
const handleWebSocketMessage = (kpiEvent: any) => {
if (!kpiEvent) return;
// 构造新的数据点
const newData: ChartDataItem = {
date: kpiEvent.timeGroup?.toString() || Date.now().toString(),
};
// 添加已选中的指标的数据
selectedKPIs.value.forEach(kpiId => {
newData[kpiId] = Number(kpiEvent[kpiId]) || 0;
});
// 更新数据
updateChartData(newData);
if (tableLoading.value) {
tableLoading.value = false;
}
};
//成功回调
const wsMessage = (res: Record<string, any>) => {
if (!chart) {
return;
@@ -210,8 +238,32 @@ const wsMessage = (res: Record<string, any>) => {
tableLoading.value = false;
return;
}
handleWebSocketMessage(data.data);
// 解析订阅组ID获取网元类型和ID
const [_, neType, neId] = data.groupId.split('_');
if (!neType || !neId) return;
const kpiEvent = data.data;
if (!kpiEvent) return;
// 构造新的数据点
const newData: ChartDataItem = {
date: kpiEvent.timeGroup?.toString() || Date.now().toString(),
};
// 为每个网元的每个指标添加数据
for (const kpiId of TARGET_KPI_IDS[neType as NeType] || []) {
const key = `${kpiId}_${neId}`;
newData[key] = Number(kpiEvent[kpiId]) || 0;
}
// 更新数据
updateChartData(newData);
if (tableLoading.value) {
tableLoading.value = false;
}
};
// 添加数据处理函数
const processChartData = (rawData: any[]) => {
const groupedData = new Map<string, any>(); //数据按时间分组
@@ -252,35 +304,66 @@ const fetchChartData = async () => {
}
// 创建并行请求数组
const requests = ALL_NE_TYPES.map(async neType => {
const params = {
neType,
neId: '001',
startTime: String(startTime),
endTime: String(endTime),
sortField: 'timeGroup',
sortOrder: 'asc',
interval: 60 * 15,
kpiIds: TARGET_KPI_IDS[neType].join(','),
};
const requests = [];
for (const neType of ALL_NE_TYPES) {
for (const ne of neList.value[neType]) {
const params = {
neType,
neId: ne.neId,
startTime: String(startTime),
endTime: String(endTime),
sortField: 'timeGroup',
sortOrder: 'asc',
interval: 60 * 15,
kpiIds: TARGET_KPI_IDS[neType].join(','),
};
try {
const res = await listKPIData(params);
if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
return res.data;
}
return [];
} catch (error) {
console.error(`Failed to fetch data for ${neType}:`, error);
return [];
requests.push(
listKPIData(params).then(res => {
if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
return res.data.map(item => ({
...item,
_neId: ne.neId,
neName: `${neType}-${ne.neId}`
}));
}
return [];
})
);
}
});
}
// 并行执行所有请求
const results = await Promise.all(requests);
const allData = results.flat();
chartData.value = processChartData(allData);
// 按时间分组处理数据
const groupedData = new Map<string, any>();
allData.forEach(item => {
const timeKey = item.timeGroup;
if (!groupedData.has(timeKey)) {
groupedData.set(timeKey, { timeGroup: timeKey });
}
Object.assign(groupedData.get(timeKey), item);
});
// 转换为图表数据格式
chartData.value = Array.from(groupedData.values())
.sort((a, b) => Number(a.timeGroup) - Number(b.timeGroup))
.map(item => {
const dataItem: ChartDataItem = { date: item.timeGroup.toString() };
// 为每个网元的每个指标添加数据
for (const neType of ALL_NE_TYPES) {
for (const ne of neList.value[neType]) {
for (const kpiId of TARGET_KPI_IDS[neType]) {
const key = `${kpiId}_${ne.neId}`;
dataItem[key] = Number(item[kpiId]) || 0;
}
}
}
return dataItem;
});
updateChart();
updateKpiStats();
} catch (error) {
@@ -436,26 +519,31 @@ const themeObserver = new MutationObserver(() => {
const updateChart = () => {
if (!chart || !kpiColumns.value.length) return;
//获取图表配置
const commonConfig = getSeriesConfig();
//构建数据系列
const series = selectedKPIs.value
.map(kpiId => {
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
if (!kpi) return null;
//为每个KPI分配临时的固定颜色
const color = kpiColors.get(kpiId) || generateColorRGBA();
kpiColors.set(kpiId, color);
return {
name: kpi.title,
type: 'line',
data: chartData.value.map(item => item[kpiId] || 0),
itemStyle: { color },
...commonConfig,
};
})
.filter(Boolean);
const series = [];
for (const neType of ALL_NE_TYPES) {
for (const ne of neList.value[neType]) {
for (const kpiId of TARGET_KPI_IDS[neType]) {
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
if (!kpi) continue;
const key = `${kpiId}_${ne.neId}`;
const color = kpiColors.get(key) || generateColorRGBA();
kpiColors.set(key, color);
series.push({
name: `${kpi.title}(${ne.neId})`,
type: 'line',
data: chartData.value.map(item => item[key] || 0),
itemStyle: { color },
symbol: 'none',
symbolSize: 6,
smooth: 0.6,
showSymbol: true,
});
}
}
}
const option = {
title: {
@@ -463,36 +551,29 @@ const updateChart = () => {
left: 'center',
// 添加文字颜色配置，根据主题切换
textStyle: {
color:
document.documentElement.getAttribute('data-theme') === 'dark'
? '#CACADA'
: '#333',
color: document.documentElement.getAttribute('data-theme') === 'dark'
? '#CACADA'
: '#333',
},
},
tooltip: {
trigger: 'axis',
confine: true, // 限制 tooltip 显示范围
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',
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',
color: document.documentElement.getAttribute('data-theme') === 'dark'
? '#CACADA'
: '#333',
},
extraCssText: 'box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);',
},
legend: {
data: selectedKPIs.value.map(
kpiId =>
kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId
),
data: series.map(s => s.name),
type: 'scroll',
orient: 'horizontal',
top: 25,
@@ -500,11 +581,9 @@ const updateChart = () => {
fontSize: 12,
},
selected: Object.fromEntries(
selectedKPIs.value.map(kpiId => [
kpiColumns.value.find(col => col.kpiId === kpiId)?.title || kpiId,
selectedRows.value.length === 0
? true
: selectedRows.value.includes(kpiId),
kpiStats.value.map(item => [
item.title,
selectedRows.value.length === 0 || selectedRows.value.includes(item.kpiId)
])
),
show: false,
@@ -514,17 +593,20 @@ const updateChart = () => {
padding: [5, 10],
},
grid: {
//网格配置
left: '6%',
right: '6%',
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true,
},
xAxis: {
// 指定x轴类型为类目轴，适用于离散的类目数据
type: 'category',
boundaryGap: false,
data: chartData.value.map(item =>
dayjs(Number(item.date)).format('YYYY-MM-DD HH:mm:ss')
),
axisLabel: {
formatter: '{value}',
// formatter: '{value}',
color:
document.documentElement.getAttribute('data-theme') === 'dark'
? '#CACADA'
@@ -536,49 +618,14 @@ const updateChart = () => {
color: getSplitLineColor(),
},
},
//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',
color: document.documentElement.getAttribute('data-theme') === 'dark'
? '#CACADA'
: '#333',
},
// 添加自计算的分割段数
splitNumber: 5,
@@ -595,32 +642,19 @@ const updateChart = () => {
};
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
if (chart) { // 添加额外的空值检查
chart.setOption(option, true);
chart.resize();
}
});
}
// 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 {
// 获取网元列表
await fetchNeList();
// 获取所有网元的指标
await fetchSpecificKPI();
await nextTick();
@@ -635,6 +669,15 @@ onMounted(async () => {
} else {
console.warn('No KPI columns available after fetching');
}
// 创建 ResizeObserver 实例监听图表容器大小变化
observer = new ResizeObserver(() => {
if (chart) {
chart.resize();
}
});
// 监听元素大小变化
observer.observe(container);
} else if (chart) {
console.warn('Chart already initialized, skipping initialization');
} else {
@@ -672,21 +715,24 @@ const fetchSpecificKPI = async () => {
if (res.code === RESULT_CODE_SUCCESS && Array.isArray(res.data)) {
const titleIDs = Object.values(TARGET_KPI_IDS).flat();
const formattedKPIs = res.data.map(item => {
let title = item[`${language}Title`];
if (titleIDs.includes(item.kpiId)) {
title = KPI_TITLE[item.kpiId] || title;
}
return {
title: title,
dataIndex: item.kpiId,
key: item.kpiId,
kpiId: item.kpiId,
neType: neType,
};
});
// 只获取 TARGET_KPI_IDS 中定义的指标
const filteredKPIs = res.data
.filter(item => TARGET_KPI_IDS[neType].includes(item.kpiId))
.map(item => {
let title = item[`${language}Title`];
if (titleIDs.includes(item.kpiId)) {
title = KPI_TITLE[item.kpiId] || title;
}
return {
title: title,
dataIndex: item.kpiId,
key: item.kpiId,
kpiId: item.kpiId,
neType: neType,
}
});
allKPIs = [...allKPIs, ...formattedKPIs];
allKPIs = [...allKPIs, ...filteredKPIs];
}
}
@@ -745,14 +791,19 @@ const updateChartData = (newData: ChartDataItem) => {
dayjs(Number(item.date)).format('YYYY-MM-DD HH:mm:ss')
),
},
series: selectedKPIs.value.map(kpiId => {
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
return {
type: 'line',
data: chartData.value.map(item => item[kpiId] || 0),
name: kpi?.title || kpiId,
};
}),
series: ALL_NE_TYPES.flatMap(type =>
neList.value[type].map(ne =>
TARGET_KPI_IDS[type].map(kpiId => {
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
const key = `${kpiId}_${ne.neId}`;
return {
type: 'line',
data: chartData.value.map(item => item[key] || 0),
name: `${kpi?.title || kpiId}(${ne.neId})`,
};
})
)
).flat(),
};
chart.setOption(option);
});
@@ -778,52 +829,39 @@ const kpiStats = ref<KPIStats[]>([]);
// 添加一个计算函数来更新统计数据
const updateKpiStats = () => {
if (!chartData.value.length || !kpiColumns.value.length) {
kpiStats.value = selectedKPIs.value.map(kpiId => {
// 找到对应的KPI标题
let title = kpiId;
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
if (kpi) {
title = kpi.title;
}
return {
kpiId: kpiId,
title: title,
max: 0,
min: 0,
avg: 0,
total: 0,
};
});
kpiStats.value = [];
return;
}
kpiStats.value = selectedKPIs.value
.map(kpiId => {
// 找到对应的KPI标题
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
if (!kpi) return null;
// 获取该指标的所有数值
const values = chartData.value.map(item => Number(item[kpiId]) || 0);
kpiStats.value = [];
for (const neType of ALL_NE_TYPES) {
for (const ne of neList.value[neType]) {
for (const kpiId of TARGET_KPI_IDS[neType]) {
const kpi = kpiColumns.value.find(col => col.kpiId === kpiId);
if (!kpi) continue;
// 计算总值
const total = Number(
values.reduce((sum, val) => sum + val, 0).toFixed(2)
);
const key = `${kpiId}_${ne.neId}`;
const values = chartData.value.map(item => Number(item[key]) || 0);
// 计算平均值
const avg =
values.length > 0 ? Number((total / values.length).toFixed(2)) : 0;
if (values.length === 0) continue;
return {
kpiId: kpiId,
title: kpi.title,
max: Math.max(...values),
min: Math.min(...values),
avg: avg,
total: total,
};
})
.filter((item): item is KPIStats => item !== null);
const total = Number(values.reduce((sum, val) => sum + val, 0).toFixed(2));
const avg = Number((total / values.length).toFixed(2));
kpiStats.value.push({
kpiId: key,
title: `${kpi.title}(${ne.neId})`,
max: Math.max(...values),
min: Math.min(...values),
avg: avg,
total: total,
});
}
}
}
// 更新图表显示
updateChartLegendSelect();
};
// 添加表列定义
@@ -903,11 +941,9 @@ 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),
kpiStats.value.map(item => [
item.title,
selectedRows.value.length === 0 || selectedRows.value.includes(item.kpiId)
])
);
@@ -1037,6 +1073,9 @@ const tableRowConfig = computed(() => {
border-radius: 4px;
padding: 20px;
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.05);
height: calc(100vh - 200px);
display: flex;
flex-direction: column;
}
[data-theme='light'] .chart-wrapper {
@@ -1048,8 +1087,10 @@ const tableRowConfig = computed(() => {
}
.chart-container {
height: 400px;
height: 450px;
width: 100%;
min-height: 400px;
position: relative;
}
.table-container {