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lens/src/renderer/components/+nodes/node-charts.tsx
Janne Savolainen 589472c2b5
Shorten license header to reduce amount of clutter in top of the files (#4709)
Signed-off-by: Janne Savolainen <janne.savolainen@live.fi>
2022-01-18 10:18:10 +02:00

184 lines
5.0 KiB
TypeScript

/**
* Copyright (c) OpenLens Authors. All rights reserved.
* Licensed under MIT License. See LICENSE in root directory for more information.
*/
import React, { useContext } from "react";
import type { IClusterMetrics, Node } from "../../../common/k8s-api/endpoints";
import { BarChart, cpuOptions, memoryOptions } from "../chart";
import { isMetricsEmpty, normalizeMetrics } from "../../../common/k8s-api/endpoints/metrics.api";
import { NoMetrics } from "../resource-metrics/no-metrics";
import { IResourceMetricsValue, ResourceMetricsContext } from "../resource-metrics";
import { observer } from "mobx-react";
import type { ChartOptions, ChartPoint } from "chart.js";
import { ThemeStore } from "../../theme.store";
import { mapValues } from "lodash";
type IContext = IResourceMetricsValue<Node, { metrics: IClusterMetrics }>;
export const NodeCharts = observer(() => {
const { params: { metrics }, tabId, object } = useContext<IContext>(ResourceMetricsContext);
const id = object.getId();
const { chartCapacityColor } = ThemeStore.getInstance().activeTheme.colors;
if (!metrics) {
return null;
}
if (isMetricsEmpty(metrics)) {
return <NoMetrics />;
}
const {
memoryUsage,
workloadMemoryUsage,
memoryRequests,
memoryCapacity,
memoryAllocatableCapacity,
cpuUsage,
cpuRequests,
cpuCapacity,
cpuAllocatableCapacity,
podUsage,
podCapacity,
fsSize,
fsUsage,
} = mapValues(metrics, metric => normalizeMetrics(metric).data.result[0].values);
const datasets = [
// CPU
[
{
id: `${id}-cpuUsage`,
label: `Usage`,
tooltip: `CPU cores usage`,
borderColor: "#3D90CE",
data: cpuUsage.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-cpuRequests`,
label: `Requests`,
tooltip: `CPU requests`,
borderColor: "#30b24d",
data: cpuRequests.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-cpuAllocatableCapacity`,
label: `Allocatable Capacity`,
tooltip: `CPU allocatable capacity`,
borderColor: "#032b4d",
data: cpuAllocatableCapacity.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-cpuCapacity`,
label: `Capacity`,
tooltip: `CPU capacity`,
borderColor: chartCapacityColor,
data: cpuCapacity.map(([x, y]) => ({ x, y })),
},
],
// Memory
[
{
id: `${id}-memoryUsage`,
label: `Usage`,
tooltip: `Memory usage`,
borderColor: "#c93dce",
data: memoryUsage.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-workloadMemoryUsage`,
label: `Workload Memory Usage`,
tooltip: `Workload memory usage`,
borderColor: "#9cd3ce",
data: workloadMemoryUsage.map(([x, y]) => ({ x, y })),
},
{
id: "memoryRequests",
label: `Requests`,
tooltip: `Memory requests`,
borderColor: "#30b24d",
data: memoryRequests.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-memoryAllocatableCapacity`,
label: `Allocatable Capacity`,
tooltip: `Memory allocatable capacity`,
borderColor: "#032b4d",
data: memoryAllocatableCapacity.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-memoryCapacity`,
label: `Capacity`,
tooltip: `Memory capacity`,
borderColor: chartCapacityColor,
data: memoryCapacity.map(([x, y]) => ({ x, y })),
},
],
// Disk
[
{
id: `${id}-fsUsage`,
label: `Usage`,
tooltip: `Node filesystem usage in bytes`,
borderColor: "#ffc63d",
data: fsUsage.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-fsSize`,
label: `Size`,
tooltip: `Node filesystem size in bytes`,
borderColor: chartCapacityColor,
data: fsSize.map(([x, y]) => ({ x, y })),
},
],
// Pods
[
{
id: `${id}-podUsage`,
label: `Usage`,
tooltip: `Number of running Pods`,
borderColor: "#30b24d",
data: podUsage.map(([x, y]) => ({ x, y })),
},
{
id: `${id}-podCapacity`,
label: `Capacity`,
tooltip: `Node Pods capacity`,
borderColor: chartCapacityColor,
data: podCapacity.map(([x, y]) => ({ x, y })),
},
],
];
const podOptions: ChartOptions = {
scales: {
yAxes: [{
ticks: {
callback: value => value,
},
}],
},
tooltips: {
callbacks: {
label: ({ datasetIndex, index }, { datasets }) => {
const { label, data } = datasets[datasetIndex];
const value = data[index] as ChartPoint;
return `${label}: ${value.y}`;
},
},
},
};
const options = [cpuOptions, memoryOptions, memoryOptions, podOptions];
return (
<BarChart
name={`${object.getName()}-metric-${tabId}`}
options={options[tabId]}
data={{ datasets: datasets[tabId] }}
/>
);
});