mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-11-10 08:57:25 +01:00
Make columns responsive
This commit is contained in:
parent
69b3f767f6
commit
4aa9c4831f
@ -1,25 +1,51 @@
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<script>
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import Refresher from './joblist/Refresher.svelte'
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import Roofline, { transformPerNodeData } from './plots/Roofline.svelte'
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import Pie, { colors } from './plots/Pie.svelte'
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import Histogram from './plots/Histogram.svelte'
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import { Row, Col, Spinner, Card, CardHeader, CardTitle, CardBody, Table, Progress, Icon } from 'sveltestrap'
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import { init, convert2uplot } from './utils.js'
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import { scaleNumbers } from './units.js'
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import { queryStore, gql, getContextClient } from '@urql/svelte'
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import Refresher from "./joblist/Refresher.svelte";
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import Roofline, { transformPerNodeData } from "./plots/Roofline.svelte";
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import Pie, { colors } from "./plots/Pie.svelte";
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import Histogram from "./plots/Histogram.svelte";
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import {
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Row,
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Col,
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Spinner,
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Card,
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CardHeader,
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CardTitle,
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CardBody,
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Table,
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Progress,
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Icon,
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} from "sveltestrap";
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import { init, convert2uplot } from "./utils.js";
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import { scaleNumbers } from "./units.js";
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import { queryStore, gql, getContextClient } from "@urql/svelte";
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const { query: initq } = init()
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const { query: initq } = init();
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export let cluster
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export let cluster;
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let plotWidths = [], colWidth1 = 0, colWidth2
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let from = new Date(Date.now() - 5 * 60 * 1000), to = new Date(Date.now())
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let plotWidths = [],
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colWidth1 = 0,
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colWidth2;
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let from = new Date(Date.now() - 5 * 60 * 1000),
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to = new Date(Date.now());
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const client = getContextClient();
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$: mainQuery = queryStore({
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client: client,
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query: gql`query($cluster: String!, $filter: [JobFilter!]!, $metrics: [String!], $from: Time!, $to: Time!) {
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nodeMetrics(cluster: $cluster, metrics: $metrics, from: $from, to: $to) {
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query: gql`
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query (
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$cluster: String!
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$filter: [JobFilter!]!
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$metrics: [String!]
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$from: Time!
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$to: Time!
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) {
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nodeMetrics(
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cluster: $cluster
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metrics: $metrics
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from: $from
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to: $to
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) {
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host
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subCluster
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metrics {
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@ -27,56 +53,130 @@
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scope
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metric {
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timestep
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unit { base, prefix }
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series { data }
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unit {
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base
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prefix
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}
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series {
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data
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}
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}
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}
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}
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stats: jobsStatistics(filter: $filter) {
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histDuration { count, value }
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histNumNodes { count, value }
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histDuration {
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count
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value
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}
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histNumNodes {
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count
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value
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}
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}
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allocatedNodes(cluster: $cluster) { name, count }
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topUsers: jobsCount(filter: $filter, groupBy: USER, weight: NODE_COUNT, limit: 10) { name, count }
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topProjects: jobsCount(filter: $filter, groupBy: PROJECT, weight: NODE_COUNT, limit: 10) { name, count }
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}`,
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allocatedNodes(cluster: $cluster) {
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name
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count
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}
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topUsers: jobsCount(
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filter: $filter
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groupBy: USER
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weight: NODE_COUNT
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limit: 10
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) {
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name
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count
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}
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topProjects: jobsCount(
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filter: $filter
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groupBy: PROJECT
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weight: NODE_COUNT
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limit: 10
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) {
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name
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count
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}
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}
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`,
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variables: {
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cluster: cluster, metrics: ['flops_any', 'mem_bw'], from: from.toISOString(), to: to.toISOString(),
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filter: [{ state: ['running'] }, { cluster: { eq: cluster } }]
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}
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})
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cluster: cluster,
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metrics: ["flops_any", "mem_bw"],
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from: from.toISOString(),
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to: to.toISOString(),
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filter: [{ state: ["running"] }, { cluster: { eq: cluster } }],
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},
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});
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const sumUp = (data, subcluster, metric) => data.reduce((sum, node) => node.subCluster == subcluster
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? sum + (node.metrics.find(m => m.name == metric)?.metric.series.reduce((sum, series) => sum + series.data[series.data.length - 1], 0) || 0)
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: sum, 0)
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const sumUp = (data, subcluster, metric) =>
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data.reduce(
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(sum, node) =>
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node.subCluster == subcluster
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? sum +
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(node.metrics
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.find((m) => m.name == metric)
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?.metric.series.reduce(
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(sum, series) =>
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sum + series.data[series.data.length - 1],
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0
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) || 0)
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: sum,
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0
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);
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let allocatedNodes = {}, flopRate = {}, flopRateUnitPrefix = {}, flopRateUnitBase = {}, memBwRate = {}, memBwRateUnitPrefix = {}, memBwRateUnitBase = {}
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let allocatedNodes = {},
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flopRate = {},
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flopRateUnitPrefix = {},
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flopRateUnitBase = {},
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memBwRate = {},
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memBwRateUnitPrefix = {},
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memBwRateUnitBase = {};
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$: if ($initq.data && $mainQuery.data) {
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let subClusters = $initq.data.clusters.find(c => c.name == cluster).subClusters
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let subClusters = $initq.data.clusters.find(
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(c) => c.name == cluster
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).subClusters;
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for (let subCluster of subClusters) {
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allocatedNodes[subCluster.name] = $mainQuery.data.allocatedNodes.find(({ name }) => name == subCluster.name)?.count || 0
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flopRate[subCluster.name] = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'flops_any') * 100) / 100
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flopRateUnitPrefix[subCluster.name] = subCluster.flopRateSimd.unit.prefix
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flopRateUnitBase[subCluster.name] = subCluster.flopRateSimd.unit.base
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memBwRate[subCluster.name] = Math.floor(sumUp($mainQuery.data.nodeMetrics, subCluster.name, 'mem_bw') * 100) / 100
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memBwRateUnitPrefix[subCluster.name] = subCluster.memoryBandwidth.unit.prefix
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memBwRateUnitBase[subCluster.name] = subCluster.memoryBandwidth.unit.base
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allocatedNodes[subCluster.name] =
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$mainQuery.data.allocatedNodes.find(
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({ name }) => name == subCluster.name
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)?.count || 0;
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flopRate[subCluster.name] =
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Math.floor(
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sumUp(
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$mainQuery.data.nodeMetrics,
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subCluster.name,
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"flops_any"
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) * 100
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) / 100;
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flopRateUnitPrefix[subCluster.name] =
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subCluster.flopRateSimd.unit.prefix;
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flopRateUnitBase[subCluster.name] =
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subCluster.flopRateSimd.unit.base;
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memBwRate[subCluster.name] =
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Math.floor(
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sumUp(
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$mainQuery.data.nodeMetrics,
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subCluster.name,
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"mem_bw"
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) * 100
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) / 100;
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memBwRateUnitPrefix[subCluster.name] =
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subCluster.memoryBandwidth.unit.prefix;
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memBwRateUnitBase[subCluster.name] =
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subCluster.memoryBandwidth.unit.base;
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}
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}
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</script>
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<!-- Loading indicator & Refresh -->
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<Row>
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<Col xs="auto" style="align-self: flex-end;">
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<h4 class="mb-0" >Current utilization of cluster "{cluster}"</h4>
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<h4 class="mb-0">Current utilization of cluster "{cluster}"</h4>
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</Col>
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<Col xs="auto">
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{#if $initq.fetching || $mainQuery.fetching}
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<Spinner/>
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<Spinner />
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{:else if $initq.error}
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<Card body color="danger">{$initq.error.message}</Card>
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{:else}
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@ -84,10 +184,13 @@
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{/if}
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</Col>
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<Col xs="auto" style="margin-left: auto;">
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<Refresher initially={120} on:reload={() => {
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from = new Date(Date.now() - 5 * 60 * 1000)
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to = new Date(Date.now())
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}} />
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<Refresher
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initially={120}
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on:reload={() => {
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from = new Date(Date.now() - 5 * 60 * 1000);
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to = new Date(Date.now());
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}}
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/>
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</Col>
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</Row>
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{#if $mainQuery.error}
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@ -98,43 +201,85 @@
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</Row>
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{/if}
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<hr>
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<hr />
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<!-- Gauges & Roofline per Subcluster-->
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{#if $initq.data && $mainQuery.data}
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{#each $initq.data.clusters.find(c => c.name == cluster).subClusters as subCluster, i}
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<Row cols={2} class="mb-3 justify-content-center">
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<Col xs="4" class="px-3">
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{#each $initq.data.clusters.find((c) => c.name == cluster).subClusters as subCluster, i}
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<Row class="mb-3 justify-content-center">
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<Col md="4" class="px-3">
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<Card class="h-auto mt-1">
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<CardHeader>
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<CardTitle class="mb-0">SubCluster "{subCluster.name}"</CardTitle>
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<CardTitle class="mb-0"
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>SubCluster "{subCluster.name}"</CardTitle
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>
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</CardHeader>
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<CardBody>
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<Table borderless>
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<tr class="py-2">
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<th scope="col">Allocated Nodes</th>
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<td style="min-width: 100px;"><div class="col"><Progress value={allocatedNodes[subCluster.name]} max={subCluster.numberOfNodes}/></div></td>
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<td>{allocatedNodes[subCluster.name]} / {subCluster.numberOfNodes} Nodes</td>
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<td style="min-width: 100px;"
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><div class="col">
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<Progress
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value={allocatedNodes[
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subCluster.name
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]}
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max={subCluster.numberOfNodes}
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/>
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</div></td
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>
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<td
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>{allocatedNodes[subCluster.name]} / {subCluster.numberOfNodes}
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Nodes</td
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>
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</tr>
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<tr class="py-2">
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<th scope="col">Flop Rate (Any) <Icon name="info-circle" class="p-1" style="cursor: help;" title="Flops[Any] = (Flops[Double] x 2) + Flops[Single]"/></th>
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<td style="min-width: 100px;"><div class="col"><Progress value={flopRate[subCluster.name]} max={subCluster.flopRateSimd.value * subCluster.numberOfNodes}/></div></td>
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<th scope="col"
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>Flop Rate (Any) <Icon
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name="info-circle"
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class="p-1"
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style="cursor: help;"
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title="Flops[Any] = (Flops[Double] x 2) + Flops[Single]"
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/></th
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>
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<td style="min-width: 100px;"
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><div class="col">
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<Progress
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value={flopRate[subCluster.name]}
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max={subCluster.flopRateSimd.value *
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subCluster.numberOfNodes}
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/>
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</div></td
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>
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<td>
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{scaleNumbers(flopRate[subCluster.name],
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(subCluster.flopRateSimd.value * subCluster.numberOfNodes),
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flopRateUnitPrefix[subCluster.name])
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}{flopRateUnitBase[subCluster.name]} [Max]
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{scaleNumbers(
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flopRate[subCluster.name],
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subCluster.flopRateSimd.value *
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subCluster.numberOfNodes,
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flopRateUnitPrefix[subCluster.name]
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)}{flopRateUnitBase[subCluster.name]} [Max]
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</td>
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</tr>
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<tr class="py-2">
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<th scope="col">MemBw Rate</th>
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<td style="min-width: 100px;"><div class="col"><Progress value={memBwRate[subCluster.name]} max={subCluster.memoryBandwidth.value * subCluster.numberOfNodes}/></div></td>
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<td style="min-width: 100px;"
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><div class="col">
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<Progress
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value={memBwRate[subCluster.name]}
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max={subCluster.memoryBandwidth
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.value *
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subCluster.numberOfNodes}
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/>
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</div></td
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>
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<td>
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{scaleNumbers(memBwRate[subCluster.name],
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(subCluster.memoryBandwidth.value * subCluster.numberOfNodes),
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memBwRateUnitPrefix[subCluster.name])
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}{memBwRateUnitBase[subCluster.name]} [Max]
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{scaleNumbers(
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memBwRate[subCluster.name],
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subCluster.memoryBandwidth.value *
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subCluster.numberOfNodes,
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memBwRateUnitPrefix[subCluster.name]
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)}{memBwRateUnitBase[subCluster.name]} [Max]
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</td>
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</tr>
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</Table>
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@ -145,40 +290,65 @@
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<div bind:clientWidth={plotWidths[i]}>
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{#key $mainQuery.data.nodeMetrics}
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<Roofline
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width={plotWidths[i] - 10} height={300} colorDots={true} showTime={false} cluster={subCluster}
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data={transformPerNodeData($mainQuery.data.nodeMetrics.filter(data => data.subCluster == subCluster.name))} />
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width={plotWidths[i] - 10}
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height={300}
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colorDots={true}
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showTime={false}
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cluster={subCluster}
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data={transformPerNodeData(
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$mainQuery.data.nodeMetrics.filter(
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(data) => data.subCluster == subCluster.name
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)
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)}
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/>
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{/key}
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</div>
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</Col>
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</Row>
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{/each}
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<hr style="margin-top: -1em;">
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<hr style="margin-top: -1em;" />
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<!-- Usage Stats as Histograms -->
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<Row cols={4}>
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<Row>
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<Col class="p-2">
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<div bind:clientWidth={colWidth1}>
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<h4 class="text-center">Top Users</h4>
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{#key $mainQuery.data}
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<Pie
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size={colWidth1}
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sliceLabel='Jobs'
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quantities={$mainQuery.data.topUsers.sort((a, b) => b.count - a.count).map((tu) => tu.count)}
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entities={$mainQuery.data.topUsers.sort((a, b) => b.count - a.count).map((tu) => tu.name)}
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sliceLabel="Jobs"
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quantities={$mainQuery.data.topUsers
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.sort((a, b) => b.count - a.count)
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.map((tu) => tu.count)}
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entities={$mainQuery.data.topUsers
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.sort((a, b) => b.count - a.count)
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.map((tu) => tu.name)}
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/>
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{/key}
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</div>
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</Col>
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<Col class="px-4 py-2">
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<Table>
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<tr class="mb-2"><th>Legend</th><th>User Name</th><th>Number of Nodes</th></tr>
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<tr class="mb-2"
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><th>Legend</th><th>User Name</th><th>Number of Nodes</th
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></tr
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>
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{#each $mainQuery.data.topUsers.sort((a, b) => b.count - a.count) as { name, count }, i}
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<tr>
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<td><Icon name="circle-fill" style="color: {colors[i]};"/></td>
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<th scope="col"><a href="/monitoring/user/{name}?cluster={cluster}&state=running">{name}</a></th>
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<td
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><Icon
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name="circle-fill"
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style="color: {colors[i]};"
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/></td
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>
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<th scope="col"
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><a
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href="/monitoring/user/{name}?cluster={cluster}&state=running"
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>{name}</a
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></th
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>
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<td>{count}</td>
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</tr>
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{/each}
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@ -189,38 +359,58 @@
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{#key $mainQuery.data}
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<Pie
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size={colWidth1}
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sliceLabel='Jobs'
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quantities={$mainQuery.data.topProjects.sort((a, b) => b.count - a.count).map((tp) => tp.count)}
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entities={$mainQuery.data.topProjects.sort((a, b) => b.count - a.count).map((tp) => tp.name)}
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sliceLabel="Jobs"
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quantities={$mainQuery.data.topProjects
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.sort((a, b) => b.count - a.count)
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.map((tp) => tp.count)}
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entities={$mainQuery.data.topProjects
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.sort((a, b) => b.count - a.count)
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.map((tp) => tp.name)}
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/>
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{/key}
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</Col>
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<Col class="px-4 py-2">
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<Table>
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<tr class="mb-2"><th>Legend</th><th>Project Code</th><th>Number of Nodes</th></tr>
|
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<tr class="mb-2"
|
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><th>Legend</th><th>Project Code</th><th>Number of Nodes</th
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></tr
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>
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{#each $mainQuery.data.topProjects.sort((a, b) => b.count - a.count) as { name, count }, i}
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<tr>
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<td><Icon name="circle-fill" style="color: {colors[i]};"/></td>
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<th scope="col"><a href="/monitoring/jobs/?cluster={cluster}&state=running&project={name}&projectMatch=eq">{name}</a></th>
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<td
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><Icon
|
||||
name="circle-fill"
|
||||
style="color: {colors[i]};"
|
||||
/></td
|
||||
>
|
||||
<th scope="col"
|
||||
><a
|
||||
href="/monitoring/jobs/?cluster={cluster}&state=running&project={name}&projectMatch=eq"
|
||||
>{name}</a
|
||||
></th
|
||||
>
|
||||
<td>{count}</td>
|
||||
</tr>
|
||||
{/each}
|
||||
</Table>
|
||||
</Col>
|
||||
</Row>
|
||||
<hr class="my-2"/>
|
||||
<Row cols={2}>
|
||||
<hr class="my-2" />
|
||||
<Row>
|
||||
<Col class="p-2">
|
||||
<div bind:clientWidth={colWidth2}>
|
||||
{#key $mainQuery.data.stats}
|
||||
<Histogram
|
||||
data={convert2uplot($mainQuery.data.stats[0].histDuration)}
|
||||
data={convert2uplot(
|
||||
$mainQuery.data.stats[0].histDuration
|
||||
)}
|
||||
width={colWidth2 - 25}
|
||||
title="Duration Distribution"
|
||||
xlabel="Current Runtimes"
|
||||
xunit="Hours"
|
||||
ylabel="Number of Jobs"
|
||||
yunit="Jobs"/>
|
||||
yunit="Jobs"
|
||||
/>
|
||||
{/key}
|
||||
</div>
|
||||
</Col>
|
||||
@ -233,8 +423,10 @@
|
||||
xlabel="Allocated Nodes"
|
||||
xunit="Nodes"
|
||||
ylabel="Number of Jobs"
|
||||
yunit="Jobs"/>
|
||||
yunit="Jobs"
|
||||
/>
|
||||
{/key}
|
||||
</Col>
|
||||
</Row>
|
||||
{/if}
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user