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feat: enhance the legend of metrics graph widget with the summary table (#181)
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142
src/hooks/useLegendProcessor.ts
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142
src/hooks/useLegendProcessor.ts
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import { LegendOptions } from "@/types/dashboard";
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import { isDef } from "@/utils/is";
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export default function useLegendProcess(legend?: LegendOptions) {
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let isRight = false;
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if (legend && legend.toTheRight) {
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isRight = true;
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}
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function showEchartsLegend(keys: string[]) {
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if (legend && isDef(legend.show)) {
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if (legend.asTable && legend.show) {
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return false;
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}
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return legend.show;
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}
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if (keys.length === 1) {
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return false;
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}
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if (legend && legend.asTable) {
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return false;
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}
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return true;
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}
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function aggregations(
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data: { [key: string]: number[] },
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intervalTime: string[]
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) {
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const source: { [key: string]: unknown }[] = [];
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const keys = Object.keys(data || {}).filter(
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(i: any) => Array.isArray(data[i]) && data[i].length
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);
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const headers = [];
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for (const [key, value] of keys.entries()) {
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const arr = JSON.parse(JSON.stringify(data[value]));
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const item: { [key: string]: unknown } = {
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name: value,
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topN: arr
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.map((d: number, index: number) => {
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return {
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key: intervalTime[index],
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value: d,
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};
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})
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.sort(
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(
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a: { key: string; value: number },
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b: { key: string; value: number }
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) => b.value - a.value
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)
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.filter((_: unknown, index: number) => index < 10),
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};
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if (legend) {
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if (legend.min) {
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item.min = Math.min(...data[value]).toFixed(2);
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if (key === 0) {
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headers.push({ value: "min", label: "Min" });
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}
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}
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if (legend.max) {
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item.max = Math.max(...data[value]).toFixed(2);
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if (key === 0) {
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headers.push({ value: "max", label: "Max" });
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}
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}
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if (legend.mean) {
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const total = data[value].reduce((prev: number, next: number) => {
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prev += Number(next);
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return prev;
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}, 0);
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item.mean = (total / data[value].length).toFixed(4);
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if (key === 0) {
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headers.push({ value: "mean", label: "Mean" });
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}
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}
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if (legend.total) {
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item.total = data[value]
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.reduce((prev: number, next: number) => {
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prev += Number(next);
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return prev;
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}, 0)
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.toFixed(2);
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if (key === 0) {
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headers.push({ value: "total", label: "Total" });
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}
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}
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}
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source.push(item);
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}
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return { source, headers };
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}
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function chartColors(keys: string[]) {
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let color: string[] = [];
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switch (keys.length) {
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case 2:
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color = ["#FF6A84", "#a0b1e6"];
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break;
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case 1:
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color = ["#3f96e3"];
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break;
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default:
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color = [
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"#30A4EB",
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"#45BFC0",
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"#FFCC55",
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"#FF6A84",
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"#a0a7e6",
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"#c23531",
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"#2f4554",
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"#61a0a8",
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"#d48265",
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"#91c7ae",
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"#749f83",
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"#ca8622",
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"#bda29a",
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"#6e7074",
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"#546570",
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"#c4ccd3",
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];
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break;
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}
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return color;
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}
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return { showEchartsLegend, isRight, aggregations, chartColors };
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}
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@@ -184,7 +184,7 @@ export function useSourceProcessor(
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const c = (config.metricConfig && config.metricConfig[index]) || {};
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if (type === MetricQueryTypes.ReadMetricsValues) {
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source[m] =
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source[c.label || m] =
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(resp.data[keys[index]] &&
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calculateExp(resp.data[keys[index]].values.values, c)) ||
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[];
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