mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2025-11-04 09:35:07 +01:00
360 lines
16 KiB
Svelte
360 lines
16 KiB
Svelte
<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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const { query: initq } = init()
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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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const topOptions = [
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{key: 'totalJobs', label: 'Jobs'},
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{key: 'totalNodes', label: 'Nodes'},
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{key: 'totalCores', label: 'Cores'},
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{key: 'totalAccs', label: 'Accelerators'},
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]
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let topProjectSelection = topOptions[0] // Default: Jobs
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let topUserSelection = topOptions[0] // Default: Jobs
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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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host
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subCluster
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metrics {
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name
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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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}
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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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histNumCores { count, value }
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histNumAccs { count, value }
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}
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allocatedNodes(cluster: $cluster) { name, count }
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}`,
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variables: {
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cluster: cluster, metrics: ['flops_any', 'mem_bw'], from: from.toISOString(), to: to.toISOString(),
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filter: [{ state: ['running'] }, { cluster: { eq: cluster } }]
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}
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})
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const paging = { itemsPerPage: 10, page: 1 }; // Top 10
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$: topUserQuery = queryStore({
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client: client,
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query: gql`
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query($filter: [JobFilter!]!, $paging: PageRequest!, $sortBy: SortByAggregate!) {
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topUser: jobsStatistics(filter: $filter, page: $paging, sortBy: $sortBy, groupBy: USER) {
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id
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totalJobs
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totalNodes
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totalCores
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totalAccs
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}
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}
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`,
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variables: { filter: [{ state: ['running'] }, { cluster: { eq: cluster } }], paging, sortBy: topUserSelection.key.toUpperCase() }
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})
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$: topProjectQuery = queryStore({
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client: client,
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query: gql`
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query($filter: [JobFilter!]!, $paging: PageRequest!, $sortBy: SortByAggregate!) {
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topProjects: jobsStatistics(filter: $filter, page: $paging, sortBy: $sortBy, groupBy: PROJECT) {
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id
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totalJobs
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totalNodes
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totalCores
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totalAccs
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}
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}
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`,
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variables: { filter: [{ state: ['running'] }, { cluster: { eq: cluster } }], paging, sortBy: topProjectSelection.key.toUpperCase() }
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})
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const sumUp = (data, subcluster, metric) => data.reduce((sum, node) => node.subCluster == subcluster
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? sum + (node.metrics.find(m => m.name == metric)?.metric.series.reduce((sum, series) => sum + series.data[series.data.length - 1], 0) || 0)
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: sum, 0)
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let allocatedNodes = {}, flopRate = {}, flopRateUnitPrefix = {}, flopRateUnitBase = {}, memBwRate = {}, memBwRateUnitPrefix = {}, memBwRateUnitBase = {}
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$: if ($initq.data && $mainQuery.data) {
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let subClusters = $initq.data.clusters.find(c => c.name == cluster).subClusters
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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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}
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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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</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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{: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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<!-- ... -->
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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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</Col>
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</Row>
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{#if $mainQuery.error}
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<Row>
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<Col>
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<Card body color="danger">{$mainQuery.error.message}</Card>
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</Col>
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</Row>
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{/if}
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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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<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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</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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</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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<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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</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>
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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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</td>
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</tr>
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</Table>
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</CardBody>
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</Card>
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</Col>
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<Col class="px-3">
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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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{/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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<!-- Usage Stats as Histograms -->
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<Row cols={4}>
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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 on {cluster.charAt(0).toUpperCase() + cluster.slice(1)}</h4>
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{#key $topUserQuery.data}
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{#if $topUserQuery.fetching}
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<Spinner/>
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{:else if $topUserQuery.error}
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<Card body color="danger">{$topUserQuery.error.message}</Card>
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{:else}
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<Pie
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size={colWidth1}
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sliceLabel={topUserSelection.label}
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quantities={$topUserQuery.data.topUser.map((tu) => tu[topUserSelection.key])}
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entities={$topUserQuery.data.topUser.map((tu) => tu.id)}
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/>
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{/if}
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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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{#key $topUserQuery.data}
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{#if $topUserQuery.fetching}
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<Spinner/>
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{:else if $topUserQuery.error}
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<Card body color="danger">{$topUserQuery.error.message}</Card>
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{:else}
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<Table>
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<tr class="mb-2">
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<th>Legend</th>
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<th>User Name</th>
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<th>Number of
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<select class="p-0" bind:value={topUserSelection}>
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{#each topOptions as option}
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<option value={option}>
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{option.label}
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</option>
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{/each}
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</select>
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</th>
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</tr>
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{#each $topUserQuery.data.topUser as tu, 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/{tu.id}?cluster={cluster}&state=running">{tu.id}</a></th>
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<td>{tu[topUserSelection.key]}</td>
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</tr>
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{/each}
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</Table>
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{/if}
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{/key}
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</Col>
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<Col class="p-2">
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<h4 class="text-center">Top Projects on {cluster.charAt(0).toUpperCase() + cluster.slice(1)}</h4>
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{#key $topProjectQuery.data}
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{#if $topProjectQuery.fetching}
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<Spinner/>
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{:else if $topProjectQuery.error}
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<Card body color="danger">{$topProjectQuery.error.message}</Card>
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{:else}
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<Pie
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size={colWidth1}
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sliceLabel={topProjectSelection.label}
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quantities={$topProjectQuery.data.topProjects.map((tp) => tp[topProjectSelection.key])}
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entities={$topProjectQuery.data.topProjects.map((tp) => tp.id)}
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/>
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{/if}
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{/key}
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</Col>
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<Col class="px-4 py-2">
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{#key $topProjectQuery.data}
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{#if $topProjectQuery.fetching}
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<Spinner/>
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{:else if $topProjectQuery.error}
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<Card body color="danger">{$topProjectQuery.error.message}</Card>
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{:else}
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<Table>
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<tr class="mb-2">
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<th>Legend</th>
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<th>Project Code</th>
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<th>Number of
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<select class="p-0" bind:value={topProjectSelection}>
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{#each topOptions as option}
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<option value={option}>
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{option.label}
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</option>
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{/each}
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</select>
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</th>
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</tr>
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{#each $topProjectQuery.data.topProjects as tp, 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={tp.id}&projectMatch=eq">{tp.id}</a></th>
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<td>{tp[topProjectSelection.key]}</td>
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</tr>
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{/each}
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</Table>
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{/if}
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{/key}
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</Col>
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</Row>
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<hr class="my-2"/>
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<Row cols={2}>
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<Col class="p-2">
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<div bind:clientWidth={colWidth2}>
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{#key $mainQuery.data.stats}
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<Histogram
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data={convert2uplot($mainQuery.data.stats[0].histDuration)}
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width={colWidth2 - 25}
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title="Duration Distribution"
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xlabel="Current Runtimes"
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xunit="Hours"
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ylabel="Number of Jobs"
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yunit="Jobs"/>
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{/key}
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</div>
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</Col>
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<Col class="p-2">
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{#key $mainQuery.data.stats}
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<Histogram
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data={convert2uplot($mainQuery.data.stats[0].histNumNodes)}
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width={colWidth2 - 25}
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title="Number of Nodes Distribution"
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xlabel="Allocated Nodes"
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xunit="Nodes"
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ylabel="Number of Jobs"
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yunit="Jobs"/>
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{/key}
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</Col>
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</Row>
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<Row cols={2}>
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<Col class="p-2">
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<div bind:clientWidth={colWidth2}>
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{#key $mainQuery.data.stats}
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<Histogram
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data={convert2uplot($mainQuery.data.stats[0].histNumCores)}
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width={colWidth2 - 25}
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title="Number of Cores Distribution"
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xlabel="Allocated Cores"
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xunit="Cores"
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ylabel="Number of Jobs"
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yunit="Jobs"/>
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{/key}
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</div>
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</Col>
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<Col class="p-2">
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{#key $mainQuery.data.stats}
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<Histogram
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data={convert2uplot($mainQuery.data.stats[0].histNumAccs)}
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width={colWidth2 - 25}
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title="Number of Accelerators Distribution"
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xlabel="Allocated Accs"
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xunit="Accs"
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ylabel="Number of Jobs"
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yunit="Jobs"/>
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{/key}
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</Col>
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</Row>
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{/if} |