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- Add distinction between `getInstance` and `getInstanceOrCreate` since it is not always possible to create an instance (since you might not know the correct arguments) - Remove all the `export const *Store = *Store.getInstance<*Store>();` calls as it defeats the purpose of `Singleton`. Plus with the typing changes the appropriate `*Store.getInstance()` is "short enough". - Special case the two extension export facades to not need to use `getInstanceOrCreate`. Plus since they are just facades it is always possible to create them. - Move some other types to be also `Singleton`'s: ExtensionLoader, ExtensionDiscovery, ThemeStore, LocalizationStore, ... - Fixed dev-run always using the same port with electron inspect - Update Store documentation with new recommendations about creating instances of singletons - Fix all unit tests to create their dependent singletons Signed-off-by: Sebastian Malton <sebastian@malton.name>
103 lines
2.7 KiB
TypeScript
103 lines
2.7 KiB
TypeScript
import React, { useContext } from "react";
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import { observer } from "mobx-react";
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import { IPodMetrics } from "../../api/endpoints";
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import { BarChart, cpuOptions, memoryOptions } from "../chart";
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import { isMetricsEmpty, normalizeMetrics } from "../../api/endpoints/metrics.api";
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import { NoMetrics } from "../resource-metrics/no-metrics";
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import { IResourceMetricsValue, ResourceMetricsContext } from "../resource-metrics";
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import { ThemeStore } from "../../theme.store";
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type IContext = IResourceMetricsValue<any, { metrics: IPodMetrics }>;
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export const ContainerCharts = observer(() => {
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const { params: { metrics }, tabId } = useContext<IContext>(ResourceMetricsContext);
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const { chartCapacityColor } = ThemeStore.getInstance().activeTheme.colors;
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if (!metrics) return null;
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if (isMetricsEmpty(metrics)) return <NoMetrics/>;
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const values = Object.values(metrics)
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.map(normalizeMetrics)
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.map(({ data }) => data.result[0].values);
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const [
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cpuUsage,
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cpuRequests,
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cpuLimits,
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memoryUsage,
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memoryRequests,
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memoryLimits,
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fsUsage
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] = values;
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const datasets = [
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// CPU
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[
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{
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id: "cpuUsage",
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label: `Usage`,
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tooltip: `CPU cores usage`,
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borderColor: "#3D90CE",
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data: cpuUsage.map(([x, y]) => ({ x, y }))
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},
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{
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id: "cpuRequests",
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label: `Requests`,
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tooltip: `CPU requests`,
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borderColor: "#30b24d",
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data: cpuRequests.map(([x, y]) => ({ x, y }))
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},
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{
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id: "cpuLimits",
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label: `Limits`,
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tooltip: `CPU limits`,
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borderColor: chartCapacityColor,
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data: cpuLimits.map(([x, y]) => ({ x, y }))
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}
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],
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// Memory
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[
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{
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id: "memoryUsage",
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label: `Usage`,
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tooltip: `Memory usage`,
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borderColor: "#c93dce",
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data: memoryUsage.map(([x, y]) => ({ x, y }))
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},
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{
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id: "memoryRequests",
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label: `Requests`,
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tooltip: `Memory requests`,
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borderColor: "#30b24d",
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data: memoryRequests.map(([x, y]) => ({ x, y }))
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},
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{
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id: "memoryLimits",
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label: `Limits`,
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tooltip: `Memory limits`,
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borderColor: chartCapacityColor,
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data: memoryLimits.map(([x, y]) => ({ x, y }))
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}
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],
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// Filesystem
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[
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{
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id: "fsUsage",
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label: `Usage`,
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tooltip: `Bytes consumed on this filesystem`,
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borderColor: "#ffc63d",
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data: fsUsage.map(([x, y]) => ({ x, y }))
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}
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]
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];
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const options = tabId == 0 ? cpuOptions : memoryOptions;
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return (
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<BarChart
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name={`metrics-${tabId}`}
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options={options}
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data={{ datasets: datasets[tabId] }}
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/>
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);
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});
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