feat: add selectable histograms to status view

This commit is contained in:
Christoph Kluge 2023-12-12 16:46:03 +01:00
parent ee6d286cd7
commit 07073e290a
2 changed files with 169 additions and 3 deletions

View File

@ -8,10 +8,12 @@ import (
"context"
"database/sql"
"fmt"
"math"
"time"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
@ -460,6 +462,18 @@ func (r *JobRepository) AddMetricHistograms(
stat *model.JobsStatistics) (*model.JobsStatistics, error) {
start := time.Now()
// Running Jobs Only: First query jobdata from sqlite, then query data and make bins
for _, f := range filter {
if f.State != nil {
if len(f.State) == 1 && f.State[0] == "running" {
stat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter)
log.Debugf("Timer AddMetricHistograms %s", time.Since(start))
return stat, nil
}
}
}
// All other cases: Query and make bins in sqlite directly
for _, m := range metrics {
metricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter)
if err != nil {
@ -639,3 +653,102 @@ func (r *JobRepository) jobsMetricStatisticsHistogram(
log.Debugf("Timer jobsStatisticsHistogram %s", time.Since(start))
return &result, nil
}
func (r *JobRepository) runningJobsMetricStatisticsHistogram(
ctx context.Context,
metrics []string,
filters []*model.JobFilter) []*model.MetricHistoPoints {
// Get Jobs
jobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 500 + 1}, nil)
if err != nil {
log.Errorf("Error while querying jobs for footprint: %s", err)
return nil
}
if len(jobs) > 500 {
log.Errorf("too many jobs matched (max: %d)", 500)
return nil
}
// Get AVGs from metric repo
avgs := make([][]schema.Float, len(metrics))
for i := range avgs {
avgs[i] = make([]schema.Float, 0, len(jobs))
}
for _, job := range jobs {
if job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {
continue
}
if err := metricdata.LoadAverages(job, metrics, avgs, ctx); err != nil {
log.Errorf("Error while loading averages for histogram: %s", err)
return nil
}
}
// Iterate metrics to fill endresult
data := make([]*model.MetricHistoPoints, 0)
for idx, metric := range metrics {
// Get specific Peak or largest Peak
var metricConfig *schema.MetricConfig
var peak float64 = 0.0
var unit string = ""
for _, f := range filters {
if f.Cluster != nil {
metricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)
peak = metricConfig.Peak
unit = metricConfig.Unit.Prefix + metricConfig.Unit.Base
log.Debugf("Cluster %s filter found with peak %f for %s", *f.Cluster.Eq, peak, metric)
}
}
if peak == 0.0 {
for _, c := range archive.Clusters {
for _, m := range c.MetricConfig {
if m.Name == metric {
if m.Peak > peak {
peak = m.Peak
}
if unit == "" {
unit = m.Unit.Prefix + m.Unit.Base
}
}
}
}
}
// Make and fill bins
bins := 10.0
peakBin := peak / bins
points := make([]*model.MetricHistoPoint, 0)
for b := 0; b < 10; b++ {
count := 0
bindex := b + 1
bmin := math.Round(peakBin * float64(b))
bmax := math.Round(peakBin * (float64(b) + 1.0))
// Iterate AVG values for indexed metric and count for bins
for _, val := range avgs[idx] {
if float64(val) >= bmin && float64(val) < bmax {
count += 1
}
}
bminint := int(bmin)
bmaxint := int(bmax)
// Append Bin to Metric Result Array
point := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bminint, Max: &bmaxint}
points = append(points, &point)
}
// Append Metric Result Array to final results array
result := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}
data = append(data, &result)
}
return data
}

View File

@ -15,6 +15,7 @@
Table,
Progress,
Icon,
Button
} from "sveltestrap";
import { init, convert2uplot, transformPerNodeDataForRoofline } from "./utils.js";
import { scaleNumbers } from "./units.js";
@ -24,6 +25,8 @@
getContextClient,
mutationStore,
} from "@urql/svelte";
import PlotTable from './PlotTable.svelte'
import HistogramSelection from './HistogramSelection.svelte'
const { query: initq } = init();
const ccconfig = getContext("cc-config");
@ -63,7 +66,8 @@
option.key == ccconfig.status_view_selectedTopUserCategory
);
let metricsInHistograms = ccconfig[`status_view_histogramMetrics:${cluster}`] || ccconfig.status_view_histogramMetrics
let isHistogramSelectionOpen = false
$: metricsInHistograms = cluster ? ccconfig[`user_view_histogramMetrics:${cluster}`] : (ccconfig.user_view_histogramMetrics || [])
const client = getContextClient();
$: mainQuery = queryStore({
@ -75,6 +79,7 @@
$metrics: [String!]
$from: Time!
$to: Time!
$metricsInHistograms: [String!]
) {
nodeMetrics(
cluster: $cluster
@ -100,7 +105,7 @@
}
}
stats: jobsStatistics(filter: $filter) {
stats: jobsStatistics(filter: $filter, metrics: $metricsInHistograms) {
histDuration {
count
value
@ -117,6 +122,16 @@
count
value
}
histMetrics {
metric
unit
data {
min
max
count
bin
}
}
}
allocatedNodes(cluster: $cluster) {
@ -131,6 +146,7 @@
from: from.toISOString(),
to: to.toISOString(),
filter: [{ state: ["running"] }, { cluster: { eq: cluster } }],
metricsInHistograms: metricsInHistograms
},
});
@ -313,7 +329,7 @@
<Col xs="auto" style="align-self: flex-end;">
<h4 class="mb-0">Current utilization of cluster "{cluster}"</h4>
</Col>
<Col xs="auto">
<Col xs="auto" style="margin-left: 0.25rem;">
{#if $initq.fetching || $mainQuery.fetching}
<Spinner />
{:else if $initq.error}
@ -323,6 +339,13 @@
{/if}
</Col>
<Col xs="auto" style="margin-left: auto;">
<Button
outline color="secondary"
on:click={() => (isHistogramSelectionOpen = true)}>
<Icon name="bar-chart-line"/> Select Histograms
</Button>
</Col>
<Col xs="auto" style="margin-left: 0.25rem;">
<Refresher
initially={120}
on:reload={() => {
@ -668,4 +691,34 @@
{/key}
</Col>
</Row>
<hr class="my-2" />
{#if metricsInHistograms}
<Row>
<Col>
{#key $mainQuery.data.stats[0].histMetrics}
<PlotTable
let:item
let:width
renderFor="user"
items={$mainQuery.data.stats[0].histMetrics}
itemsPerRow={3}>
<Histogram
data={convert2uplot(item.data)}
width={width} height={250}
title="Distribution of '{item.metric}'"
xlabel={`${item.metric} bin maximum [${item.unit}]`}
xunit={item.unit}
ylabel="Number of Jobs"
yunit="Jobs"/>
</PlotTable>
{/key}
</Col>
</Row>
{/if}
{/if}
<HistogramSelection
bind:cluster={cluster}
bind:metricsInHistograms={metricsInHistograms}
bind:isOpen={isHistogramSelectionOpen} />