mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-28 06:09:06 +01:00
611 lines
17 KiB
Svelte
611 lines
17 KiB
Svelte
<script>
|
|
import { init, convert2uplot } from "./utils.js";
|
|
import { getContext, onMount } from "svelte";
|
|
import {
|
|
queryStore,
|
|
gql,
|
|
getContextClient,
|
|
mutationStore,
|
|
} from "@urql/svelte";
|
|
import {
|
|
Row,
|
|
Col,
|
|
Spinner,
|
|
Card,
|
|
Table,
|
|
Icon,
|
|
} from "@sveltestrap/sveltestrap";
|
|
import Filters from "./filters/Filters.svelte";
|
|
import PlotSelection from "./PlotSelection.svelte";
|
|
import Histogram from "./plots/Histogram.svelte";
|
|
import Pie, { colors } from "./plots/Pie.svelte";
|
|
import { binsFromFootprint } from "./utils.js";
|
|
import ScatterPlot from "./plots/Scatter.svelte";
|
|
import PlotTable from "./PlotTable.svelte";
|
|
import RooflineHeatmap from "./plots/RooflineHeatmap.svelte";
|
|
|
|
const { query: initq } = init();
|
|
|
|
export let filterPresets;
|
|
|
|
// By default, look at the jobs of the last 6 hours:
|
|
if (filterPresets?.startTime == null) {
|
|
if (filterPresets == null) filterPresets = {};
|
|
|
|
let now = new Date(Date.now());
|
|
let hourAgo = new Date(now);
|
|
hourAgo.setHours(hourAgo.getHours() - 6);
|
|
filterPresets.startTime = {
|
|
from: hourAgo.toISOString(),
|
|
to: now.toISOString(),
|
|
};
|
|
}
|
|
|
|
let cluster;
|
|
let filterComponent; // see why here: https://stackoverflow.com/questions/58287729/how-can-i-export-a-function-from-a-svelte-component-that-changes-a-value-in-the
|
|
let jobFilters = [];
|
|
let rooflineMaxY;
|
|
let colWidth1, colWidth2, colWidth3, colWidth4;
|
|
let numBins = 50;
|
|
let maxY = -1;
|
|
const ccconfig = getContext("cc-config");
|
|
const metricConfig = getContext("metrics");
|
|
|
|
let metricsInHistograms = ccconfig.analysis_view_histogramMetrics,
|
|
metricsInScatterplots = ccconfig.analysis_view_scatterPlotMetrics;
|
|
|
|
$: metrics = [
|
|
...new Set([...metricsInHistograms, ...metricsInScatterplots.flat()]),
|
|
];
|
|
|
|
const sortOptions = [
|
|
{ key: "totalWalltime", label: "Walltime" },
|
|
{ key: "totalNodeHours", label: "Node Hours" },
|
|
{ key: "totalCoreHours", label: "Core Hours" },
|
|
{ key: "totalAccHours", label: "Accelerator Hours" },
|
|
];
|
|
const groupOptions = [
|
|
{ key: "user", label: "User Name" },
|
|
{ key: "project", label: "Project ID" },
|
|
];
|
|
|
|
let sortSelection =
|
|
sortOptions.find(
|
|
(option) =>
|
|
option.key ==
|
|
ccconfig[`analysis_view_selectedTopCategory:${filterPresets.cluster}`],
|
|
) ||
|
|
sortOptions.find(
|
|
(option) => option.key == ccconfig.analysis_view_selectedTopCategory,
|
|
);
|
|
let groupSelection =
|
|
groupOptions.find(
|
|
(option) =>
|
|
option.key ==
|
|
ccconfig[`analysis_view_selectedTopEntity:${filterPresets.cluster}`],
|
|
) ||
|
|
groupOptions.find(
|
|
(option) => option.key == ccconfig.analysis_view_selectedTopEntity,
|
|
);
|
|
|
|
getContext("on-init")(({ data }) => {
|
|
if (data != null) {
|
|
cluster = data.clusters.find((c) => c.name == filterPresets.cluster);
|
|
console.assert(
|
|
cluster != null,
|
|
`This cluster could not be found: ${filterPresets.cluster}`,
|
|
);
|
|
|
|
rooflineMaxY = cluster.subClusters.reduce(
|
|
(max, part) => Math.max(max, part.flopRateSimd.value),
|
|
0,
|
|
);
|
|
maxY = rooflineMaxY;
|
|
}
|
|
});
|
|
|
|
const client = getContextClient();
|
|
|
|
$: statsQuery = queryStore({
|
|
client: client,
|
|
query: gql`
|
|
query ($jobFilters: [JobFilter!]!) {
|
|
stats: jobsStatistics(filter: $jobFilters) {
|
|
totalJobs
|
|
shortJobs
|
|
totalWalltime
|
|
totalNodeHours
|
|
totalCoreHours
|
|
totalAccHours
|
|
histDuration {
|
|
count
|
|
value
|
|
}
|
|
histNumCores {
|
|
count
|
|
value
|
|
}
|
|
}
|
|
}
|
|
`,
|
|
variables: { jobFilters },
|
|
});
|
|
|
|
$: topQuery = queryStore({
|
|
client: client,
|
|
query: gql`
|
|
query (
|
|
$jobFilters: [JobFilter!]!
|
|
$paging: PageRequest!
|
|
$sortBy: SortByAggregate!
|
|
$groupBy: Aggregate!
|
|
) {
|
|
topList: jobsStatistics(
|
|
filter: $jobFilters
|
|
page: $paging
|
|
sortBy: $sortBy
|
|
groupBy: $groupBy
|
|
) {
|
|
id
|
|
totalWalltime
|
|
totalNodeHours
|
|
totalCoreHours
|
|
totalAccHours
|
|
}
|
|
}
|
|
`,
|
|
variables: {
|
|
jobFilters,
|
|
paging: { itemsPerPage: 10, page: 1 },
|
|
sortBy: sortSelection.key.toUpperCase(),
|
|
groupBy: groupSelection.key.toUpperCase(),
|
|
},
|
|
});
|
|
|
|
$: footprintsQuery = queryStore({
|
|
client: client,
|
|
query: gql`
|
|
query ($jobFilters: [JobFilter!]!, $metrics: [String!]!) {
|
|
footprints: jobsFootprints(filter: $jobFilters, metrics: $metrics) {
|
|
timeWeights {
|
|
nodeHours
|
|
accHours
|
|
coreHours
|
|
}
|
|
metrics {
|
|
metric
|
|
data
|
|
}
|
|
}
|
|
}
|
|
`,
|
|
variables: { jobFilters, metrics },
|
|
});
|
|
|
|
$: rooflineQuery = queryStore({
|
|
client: client,
|
|
query: gql`
|
|
query (
|
|
$jobFilters: [JobFilter!]!
|
|
$rows: Int!
|
|
$cols: Int!
|
|
$minX: Float!
|
|
$minY: Float!
|
|
$maxX: Float!
|
|
$maxY: Float!
|
|
) {
|
|
rooflineHeatmap(
|
|
filter: $jobFilters
|
|
rows: $rows
|
|
cols: $cols
|
|
minX: $minX
|
|
minY: $minY
|
|
maxX: $maxX
|
|
maxY: $maxY
|
|
)
|
|
}
|
|
`,
|
|
variables: {
|
|
jobFilters,
|
|
rows: 50,
|
|
cols: 50,
|
|
minX: 0.01,
|
|
minY: 1,
|
|
maxX: 1000,
|
|
maxY,
|
|
},
|
|
});
|
|
|
|
const updateConfigurationMutation = ({ name, value }) => {
|
|
return mutationStore({
|
|
client: client,
|
|
query: gql`
|
|
mutation ($name: String!, $value: String!) {
|
|
updateConfiguration(name: $name, value: $value)
|
|
}
|
|
`,
|
|
variables: { name, value },
|
|
});
|
|
};
|
|
|
|
function updateEntityConfiguration(select) {
|
|
if (
|
|
ccconfig[`analysis_view_selectedTopEntity:${filterPresets.cluster}`] !=
|
|
select
|
|
) {
|
|
updateConfigurationMutation({
|
|
name: `analysis_view_selectedTopEntity:${filterPresets.cluster}`,
|
|
value: JSON.stringify(select),
|
|
}).subscribe((res) => {
|
|
if (res.fetching === false && !res.error) {
|
|
// console.log(`analysis_view_selectedTopEntity:${filterPresets.cluster}` + ' -> Updated!')
|
|
} else if (res.fetching === false && res.error) {
|
|
throw res.error;
|
|
}
|
|
});
|
|
} else {
|
|
// console.log('No Mutation Required: Entity')
|
|
}
|
|
}
|
|
|
|
function updateCategoryConfiguration(select) {
|
|
if (
|
|
ccconfig[`analysis_view_selectedTopCategory:${filterPresets.cluster}`] !=
|
|
select
|
|
) {
|
|
updateConfigurationMutation({
|
|
name: `analysis_view_selectedTopCategory:${filterPresets.cluster}`,
|
|
value: JSON.stringify(select),
|
|
}).subscribe((res) => {
|
|
if (res.fetching === false && !res.error) {
|
|
// console.log(`analysis_view_selectedTopCategory:${filterPresets.cluster}` + ' -> Updated!')
|
|
} else if (res.fetching === false && res.error) {
|
|
throw res.error;
|
|
}
|
|
});
|
|
} else {
|
|
// console.log('No Mutation Required: Category')
|
|
}
|
|
}
|
|
|
|
$: updateEntityConfiguration(groupSelection.key);
|
|
$: updateCategoryConfiguration(sortSelection.key);
|
|
|
|
onMount(() => filterComponent.update());
|
|
</script>
|
|
|
|
<Row>
|
|
{#if $initq.fetching || $statsQuery.fetching || $footprintsQuery.fetching}
|
|
<Col xs="auto">
|
|
<Spinner />
|
|
</Col>
|
|
{/if}
|
|
<Col xs="auto">
|
|
{#if $initq.error}
|
|
<Card body color="danger">{$initq.error.message}</Card>
|
|
{:else if cluster}
|
|
<PlotSelection
|
|
availableMetrics={cluster.metricConfig.map((mc) => mc.name)}
|
|
bind:metricsInHistograms
|
|
bind:metricsInScatterplots
|
|
/>
|
|
{/if}
|
|
</Col>
|
|
<Col xs="auto">
|
|
<Filters
|
|
bind:this={filterComponent}
|
|
{filterPresets}
|
|
disableClusterSelection={true}
|
|
startTimeQuickSelect={true}
|
|
on:update={({ detail }) => {
|
|
jobFilters = detail.filters;
|
|
}}
|
|
/>
|
|
</Col>
|
|
</Row>
|
|
|
|
<br />
|
|
{#if $statsQuery.error}
|
|
<Row>
|
|
<Col>
|
|
<Card body color="danger">{$statsQuery.error.message}</Card>
|
|
</Col>
|
|
</Row>
|
|
{:else if $statsQuery.data}
|
|
<Row cols={3} class="mb-4">
|
|
<Col>
|
|
<Table>
|
|
<tr>
|
|
<th scope="col">Total Jobs</th>
|
|
<td>{$statsQuery.data.stats[0].totalJobs}</td>
|
|
</tr>
|
|
<tr>
|
|
<th scope="col">Short Jobs</th>
|
|
<td>{$statsQuery.data.stats[0].shortJobs}</td>
|
|
</tr>
|
|
<tr>
|
|
<th scope="col">Total Walltime</th>
|
|
<td>{$statsQuery.data.stats[0].totalWalltime}</td>
|
|
</tr>
|
|
<tr>
|
|
<th scope="col">Total Node Hours</th>
|
|
<td>{$statsQuery.data.stats[0].totalNodeHours}</td>
|
|
</tr>
|
|
<tr>
|
|
<th scope="col">Total Core Hours</th>
|
|
<td>{$statsQuery.data.stats[0].totalCoreHours}</td>
|
|
</tr>
|
|
<tr>
|
|
<th scope="col">Total Accelerator Hours</th>
|
|
<td>{$statsQuery.data.stats[0].totalAccHours}</td>
|
|
</tr>
|
|
</Table>
|
|
</Col>
|
|
<Col>
|
|
<div bind:clientWidth={colWidth1}>
|
|
<h5>
|
|
Top
|
|
<select class="p-0" bind:value={groupSelection}>
|
|
{#each groupOptions as option}
|
|
<option value={option}>
|
|
{option.key.charAt(0).toUpperCase() + option.key.slice(1)}s
|
|
</option>
|
|
{/each}
|
|
</select>
|
|
</h5>
|
|
{#key $topQuery.data}
|
|
{#if $topQuery.fetching}
|
|
<Spinner />
|
|
{:else if $topQuery.error}
|
|
<Card body color="danger">{$topQuery.error.message}</Card>
|
|
{:else}
|
|
<Pie
|
|
size={colWidth1}
|
|
sliceLabel={sortSelection.label}
|
|
quantities={$topQuery.data.topList.map(
|
|
(t) => t[sortSelection.key],
|
|
)}
|
|
entities={$topQuery.data.topList.map((t) => t.id)}
|
|
/>
|
|
{/if}
|
|
{/key}
|
|
</div>
|
|
</Col>
|
|
<Col>
|
|
{#key $topQuery.data}
|
|
{#if $topQuery.fetching}
|
|
<Spinner />
|
|
{:else if $topQuery.error}
|
|
<Card body color="danger">{$topQuery.error.message}</Card>
|
|
{:else}
|
|
<Table>
|
|
<tr class="mb-2">
|
|
<th>Legend</th>
|
|
<th>{groupSelection.label}</th>
|
|
<th>
|
|
<select class="p-0" bind:value={sortSelection}>
|
|
{#each sortOptions as option}
|
|
<option value={option}>
|
|
{option.label}
|
|
</option>
|
|
{/each}
|
|
</select>
|
|
</th>
|
|
</tr>
|
|
{#each $topQuery.data.topList as te, i}
|
|
<tr>
|
|
<td><Icon name="circle-fill" style="color: {colors[i]};" /></td>
|
|
{#if groupSelection.key == "user"}
|
|
<th scope="col"
|
|
><a href="/monitoring/user/{te.id}?cluster={cluster.name}"
|
|
>{te.id}</a
|
|
></th
|
|
>
|
|
{:else}
|
|
<th scope="col"
|
|
><a
|
|
href="/monitoring/jobs/?cluster={cluster.name}&project={te.id}&projectMatch=eq"
|
|
>{te.id}</a
|
|
></th
|
|
>
|
|
{/if}
|
|
<td>{te[sortSelection.key]}</td>
|
|
</tr>
|
|
{/each}
|
|
</Table>
|
|
{/if}
|
|
{/key}
|
|
</Col>
|
|
</Row>
|
|
<Row cols={3} class="mb-2">
|
|
<Col>
|
|
{#if $rooflineQuery.fetching}
|
|
<Spinner />
|
|
{:else if $rooflineQuery.error}
|
|
<Card body color="danger">{$rooflineQuery.error.message}</Card>
|
|
{:else if $rooflineQuery.data && cluster}
|
|
<div bind:clientWidth={colWidth2}>
|
|
{#key $rooflineQuery.data}
|
|
<RooflineHeatmap
|
|
width={colWidth2}
|
|
height={300}
|
|
tiles={$rooflineQuery.data.rooflineHeatmap}
|
|
cluster={cluster.subClusters.length == 1
|
|
? cluster.subClusters[0]
|
|
: null}
|
|
maxY={rooflineMaxY}
|
|
/>
|
|
{/key}
|
|
</div>
|
|
{/if}
|
|
</Col>
|
|
<Col>
|
|
<div bind:clientWidth={colWidth3}>
|
|
{#key $statsQuery.data.stats[0].histDuration}
|
|
<Histogram
|
|
width={colWidth3}
|
|
height={300}
|
|
data={convert2uplot($statsQuery.data.stats[0].histDuration)}
|
|
title="Duration Distribution"
|
|
xlabel="Current Runtimes"
|
|
xunit="Hours"
|
|
ylabel="Number of Jobs"
|
|
yunit="Jobs"
|
|
/>
|
|
{/key}
|
|
</div>
|
|
</Col>
|
|
<Col>
|
|
<div bind:clientWidth={colWidth4}>
|
|
{#key $statsQuery.data.stats[0].histNumCores}
|
|
<Histogram
|
|
width={colWidth4}
|
|
height={300}
|
|
data={convert2uplot($statsQuery.data.stats[0].histNumCores)}
|
|
title="Number of Cores Distribution"
|
|
xlabel="Allocated Cores"
|
|
xunit="Cores"
|
|
ylabel="Number of Jobs"
|
|
yunit="Jobs"
|
|
/>
|
|
{/key}
|
|
</div>
|
|
</Col>
|
|
</Row>
|
|
{/if}
|
|
|
|
<hr class="my-6" />
|
|
|
|
{#if $footprintsQuery.error}
|
|
<Row>
|
|
<Col>
|
|
<Card body color="danger">{$footprintsQuery.error.message}</Card>
|
|
</Col>
|
|
</Row>
|
|
{:else if $footprintsQuery.data && $initq.data}
|
|
<Row>
|
|
<Col>
|
|
<Card body>
|
|
These histograms show the distribution of the averages of all jobs
|
|
matching the filters. Each job/average is weighted by its node hours by
|
|
default (Accelerator hours for native accelerator scope metrics,
|
|
coreHours for native core scope metrics). Note that some metrics could
|
|
be disabled for specific subclusters as per metricConfig and thus could
|
|
affect shown average values.
|
|
</Card>
|
|
<br />
|
|
</Col>
|
|
</Row>
|
|
<Row>
|
|
<Col>
|
|
<PlotTable
|
|
let:item
|
|
let:width
|
|
renderFor="analysis"
|
|
items={metricsInHistograms.map((metric) => ({
|
|
metric,
|
|
...binsFromFootprint(
|
|
$footprintsQuery.data.footprints.timeWeights,
|
|
metricConfig(cluster.name, metric)?.scope,
|
|
$footprintsQuery.data.footprints.metrics.find(
|
|
(f) => f.metric == metric,
|
|
).data,
|
|
numBins,
|
|
),
|
|
}))}
|
|
itemsPerRow={ccconfig.plot_view_plotsPerRow}
|
|
>
|
|
<Histogram
|
|
data={convert2uplot(item.bins)}
|
|
{width}
|
|
height={250}
|
|
usesBins={true}
|
|
title="Average Distribution of '{item.metric}'"
|
|
xlabel={`${item.metric} bin maximum ${
|
|
(metricConfig(cluster.name, item.metric)?.unit?.prefix
|
|
? "[" + metricConfig(cluster.name, item.metric)?.unit?.prefix
|
|
: "") +
|
|
(metricConfig(cluster.name, item.metric)?.unit?.base
|
|
? metricConfig(cluster.name, item.metric)?.unit?.base + "]"
|
|
: "")
|
|
}`}
|
|
xunit={`${
|
|
(metricConfig(cluster.name, item.metric)?.unit?.prefix
|
|
? metricConfig(cluster.name, item.metric)?.unit?.prefix
|
|
: "") +
|
|
(metricConfig(cluster.name, item.metric)?.unit?.base
|
|
? metricConfig(cluster.name, item.metric)?.unit?.base
|
|
: "")
|
|
}`}
|
|
ylabel="Normalized Hours"
|
|
yunit="Hours"
|
|
/>
|
|
</PlotTable>
|
|
</Col>
|
|
</Row>
|
|
<br />
|
|
<Row>
|
|
<Col>
|
|
<Card body>
|
|
Each circle represents one job. The size of a circle is proportional to
|
|
its node hours. Darker circles mean multiple jobs have the same averages
|
|
for the respective metrics. Note that some metrics could be disabled for
|
|
specific subclusters as per metricConfig and thus could affect shown
|
|
average values.
|
|
</Card>
|
|
<br />
|
|
</Col>
|
|
</Row>
|
|
<Row>
|
|
<Col>
|
|
<PlotTable
|
|
let:item
|
|
let:width
|
|
renderFor="analysis"
|
|
items={metricsInScatterplots.map(([m1, m2]) => ({
|
|
m1,
|
|
f1: $footprintsQuery.data.footprints.metrics.find(
|
|
(f) => f.metric == m1,
|
|
).data,
|
|
m2,
|
|
f2: $footprintsQuery.data.footprints.metrics.find(
|
|
(f) => f.metric == m2,
|
|
).data,
|
|
}))}
|
|
itemsPerRow={ccconfig.plot_view_plotsPerRow}
|
|
>
|
|
<ScatterPlot
|
|
{width}
|
|
height={250}
|
|
color={"rgba(0, 102, 204, 0.33)"}
|
|
xLabel={`${item.m1} [${
|
|
(metricConfig(cluster.name, item.m1)?.unit?.prefix
|
|
? metricConfig(cluster.name, item.m1)?.unit?.prefix
|
|
: "") +
|
|
(metricConfig(cluster.name, item.m1)?.unit?.base
|
|
? metricConfig(cluster.name, item.m1)?.unit?.base
|
|
: "")
|
|
}]`}
|
|
yLabel={`${item.m2} [${
|
|
(metricConfig(cluster.name, item.m2)?.unit?.prefix
|
|
? metricConfig(cluster.name, item.m2)?.unit?.prefix
|
|
: "") +
|
|
(metricConfig(cluster.name, item.m2)?.unit?.base
|
|
? metricConfig(cluster.name, item.m2)?.unit?.base
|
|
: "")
|
|
}]`}
|
|
X={item.f1}
|
|
Y={item.f2}
|
|
S={$footprintsQuery.data.footprints.timeWeights.nodeHours}
|
|
/>
|
|
</PlotTable>
|
|
</Col>
|
|
</Row>
|
|
{/if}
|
|
|
|
<style>
|
|
h5 {
|
|
text-align: center;
|
|
}
|
|
</style>
|