Add aggregate statistics
This commit is contained in:
@@ -3,6 +3,7 @@ import { onMount } from "svelte";
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import HostMetricsGraph from "./HostMetricsGraph.svelte";
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import { load_host_names } from "./HostMetricsLib";
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import Expandable from "util/Expandable.svelte";
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import ToggleButton from "layout/ToggleButton.svelte";
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const groups: {
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title: string,
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@@ -71,6 +72,7 @@ const groups: {
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let dataWindow: number = $state(60)
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let dataInterval: number = $state(1)
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let showAggregate: boolean = $state(false)
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const setWindow = (window: number, interval: number) => {
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dataWindow = window
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@@ -96,6 +98,8 @@ onMount(async () => {
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<button onclick={() => setWindow(525600, 1440)}>Year 1d</button>
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<button onclick={() => setWindow(1051200, 1440)}>Two Years 1d</button>
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<button onclick={() => setWindow(2628000, 1440)}>Five Years 1d</button>
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<br/>
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<ToggleButton bind:on={showAggregate}>Aggregate</ToggleButton>
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</div>
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{#each groups as group (group.title)}
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@@ -111,6 +115,7 @@ onMount(async () => {
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interval={dataInterval}
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metric={graph.metric}
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data_type={graph.data_type}
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aggregate={showAggregate}
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/>
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{/each}
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</div>
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@@ -1,85 +1,114 @@
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<script lang="ts">
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import { onMount } from "svelte";
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import Chart from "util/Chart.svelte";
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import { get_endpoint } from "lib/PixeldrainAPI";
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import { host_colour, host_label } from "./HostMetricsLib";
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import { host_colour, host_label } from "./HostMetricsLib";
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import { get_host_metrics, type HostMetrics } from "lib/AdminAPI";
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import { formatDate } from "util/Formatting";
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let {
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metric = "",
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window = 0, // Size of the data window in minutes
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interval = 0, // Interval of the datapoints in minutes
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data_type = "number"
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data_type = "number",
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aggregate = false,
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}: {
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metric: string;
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window: number;
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interval: number;
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data_type?: string;
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aggregate?: boolean;
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} = $props();
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// Make load_graph reactive
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$effect(() => {load_graph(metric, window, interval, aggregate)})
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let chart: Chart = $state()
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let chartTimeout: NodeJS.Timeout = null
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const loadGraph = () => {
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const load_graph = async (_metric: string, _window: number, _interval: number, _aggregate: boolean) => {
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if (chartTimeout !== null) { clearTimeout(chartTimeout) }
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chartTimeout = setTimeout(() => { loadGraph() }, 10000)
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chartTimeout = setTimeout(() => { load_graph(metric, window, interval, aggregate) }, 10000)
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let today = new Date()
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let start = new Date()
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start.setMinutes(start.getMinutes() - window)
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start.setMinutes(start.getMinutes() - _window)
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fetch(
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get_endpoint() + "/admin/host_metrics" +
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"?start=" + start.toISOString() +
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"&end=" + today.toISOString() +
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"&metric="+ metric +
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"&interval=" + interval
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).then(resp => {
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if (!resp.ok) { return Promise.reject("Error: " + resp.status); }
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return resp.json();
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}).then(async resp => {
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try {
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const metrics = await get_host_metrics(start, today, _metric, _interval)
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resp.timestamps.forEach((val: string, idx: number) => {
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let date = new Date(val);
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let dateStr: string = date.getFullYear().toString();
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dateStr += "-" + ("00" + (date.getMonth() + 1)).slice(-2);
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dateStr += "-" + ("00" + date.getDate()).slice(-2);
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dateStr += " " + ("00" + date.getHours()).slice(-2);
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dateStr += ":" + ("00" + date.getMinutes()).slice(-2);
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resp.timestamps[idx] = " " + dateStr + " "; // Poor man's padding
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// Format the dates
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metrics.timestamps.forEach((val: string, idx: number) => {
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metrics.timestamps[idx] = formatDate(val, true, true, true)
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});
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chart.data().labels = resp.timestamps;
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chart.data().labels = metrics.timestamps;
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// If the dataset uses the duration type, we need to convert the values
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// to milliseconds
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if (data_type === "duration") {
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for (const host of Object.keys(metrics.host_amounts)) {
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for (let i = 0; i < metrics.host_amounts[host].length; i++) {
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// Go durations are expressed on nanoseconds, divide by 1
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// million to convert to milliseconds
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metrics.host_amounts[host][i] /= 1000000
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}
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}
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}
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// Truncate the datasets array in case we have more datasets cached than
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// there are in the response
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chart.data().datasets.length = Object.keys(metrics.host_amounts).length
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let i = 0
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for (const host of Object.keys(resp.host_amounts).sort()) {
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if (_aggregate) {
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i = 1
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chart.data().datasets[0] = {
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label: "aggregate",
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data: create_aggregate_dataset(metrics),
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borderWidth: 1,
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pointRadius: 0,
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borderColor: "#ffffff",
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backgroundColor: "#ffffff",
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}
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}
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for (const host of Object.keys(metrics.host_amounts).sort()) {
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if (chart.data().datasets[i] === undefined) {
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chart.data().datasets[i] = {
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label: await host_label(host),
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label: "",
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data: [],
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borderWidth: 1,
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pointRadius: 0,
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}
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}
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chart.data().datasets[i].label = await host_label(host)
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chart.data().datasets[i].borderColor = host_colour(host)
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chart.data().datasets[i].backgroundColor = host_colour(host)
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if (data_type === "duration") {
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for (let i = 0; i < resp.host_amounts[host].length; i++) {
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// Go durations are expressed on nanoseconds, divide by 1
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// million to convert to milliseconds
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resp.host_amounts[host][i] /= 1000000
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}
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}
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chart.data().datasets[i].data = resp.host_amounts[host]
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chart.data().datasets[i].data = metrics.host_amounts[host]
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i++
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}
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chart.update()
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})
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} catch (error) {
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alert(error)
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}
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}
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const create_aggregate_dataset = (metrics: HostMetrics): number[] => {
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let data: number[] = []
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for (const host of Object.keys(metrics.host_amounts)) {
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for (let idx = 0; idx < metrics.host_amounts[host].length; idx++) {
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if (data[idx]===undefined) {
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data[idx] = 0
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}
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data[idx] += metrics.host_amounts[host][idx]
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}
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}
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return data
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}
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onMount(() => {
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loadGraph();
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load_graph(metric, window, interval, aggregate);
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return () => {
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if (chartTimeout !== null) {
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@@ -27,3 +27,20 @@ export const get_admin_invoices = async (year: number, month: number) => {
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)
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) as Invoice[]
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};
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export type HostMetrics = {
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timestamps: string[]
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host_amounts: { [key: string]: number[] }
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}
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export const get_host_metrics = async (start: Date, end: Date, metric: string, interval: number): Promise<HostMetrics> => {
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return await check_response(
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await fetch(
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get_endpoint() + "/admin/host_metrics" +
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"?start=" + start.toISOString() +
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"&end=" + end.toISOString() +
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"&metric=" + metric +
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"&interval=" + interval
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)
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) as HostMetrics
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};
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