rebase: update replaced k8s.io modules to v0.33.0

Signed-off-by: Niels de Vos <ndevos@ibm.com>
This commit is contained in:
Niels de Vos
2025-05-07 13:13:33 +02:00
committed by mergify[bot]
parent dd77e72800
commit 107407b44b
1723 changed files with 65035 additions and 175239 deletions

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/*
Copyright 2022 The Kubernetes Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package features
import (
"k8s.io/apimachinery/pkg/util/version"
"k8s.io/component-base/featuregate"
)
const (
// owner: @logicalhan
// kep: https://kep.k8s.io/3466
ComponentSLIs featuregate.Feature = "ComponentSLIs"
)
func featureGates() map[featuregate.Feature]featuregate.VersionedSpecs {
return map[featuregate.Feature]featuregate.VersionedSpecs{
ComponentSLIs: {
{Version: version.MustParse("1.26"), Default: false, PreRelease: featuregate.Alpha},
{Version: version.MustParse("1.27"), Default: true, PreRelease: featuregate.Beta},
// ComponentSLIs officially graduated to GA in v1.29 but the gate was not updated until v1.32.
// To support emulated versions, keep the gate until v1.35.
{Version: version.MustParse("1.32"), Default: true, PreRelease: featuregate.GA, LockToDefault: true},
},
}
}
// AddFeatureGates adds all feature gates used by this package.
func AddFeatureGates(mutableFeatureGate featuregate.MutableVersionedFeatureGate) error {
return mutableFeatureGate.AddVersioned(featureGates())
}

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/*
Copyright 2019 The Kubernetes Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package workqueue
import (
"k8s.io/client-go/util/workqueue"
k8smetrics "k8s.io/component-base/metrics"
"k8s.io/component-base/metrics/legacyregistry"
)
// Package prometheus sets the workqueue DefaultMetricsFactory to produce
// prometheus metrics. To use this package, you just have to import it.
// Metrics subsystem and keys used by the workqueue.
const (
WorkQueueSubsystem = "workqueue"
DepthKey = "depth"
AddsKey = "adds_total"
QueueLatencyKey = "queue_duration_seconds"
WorkDurationKey = "work_duration_seconds"
UnfinishedWorkKey = "unfinished_work_seconds"
LongestRunningProcessorKey = "longest_running_processor_seconds"
RetriesKey = "retries_total"
)
var (
depth = k8smetrics.NewGaugeVec(&k8smetrics.GaugeOpts{
Subsystem: WorkQueueSubsystem,
Name: DepthKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "Current depth of workqueue",
}, []string{"name"})
adds = k8smetrics.NewCounterVec(&k8smetrics.CounterOpts{
Subsystem: WorkQueueSubsystem,
Name: AddsKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "Total number of adds handled by workqueue",
}, []string{"name"})
latency = k8smetrics.NewHistogramVec(&k8smetrics.HistogramOpts{
Subsystem: WorkQueueSubsystem,
Name: QueueLatencyKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "How long in seconds an item stays in workqueue before being requested.",
Buckets: k8smetrics.ExponentialBuckets(10e-9, 10, 10),
}, []string{"name"})
workDuration = k8smetrics.NewHistogramVec(&k8smetrics.HistogramOpts{
Subsystem: WorkQueueSubsystem,
Name: WorkDurationKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "How long in seconds processing an item from workqueue takes.",
Buckets: k8smetrics.ExponentialBuckets(10e-9, 10, 10),
}, []string{"name"})
unfinished = k8smetrics.NewGaugeVec(&k8smetrics.GaugeOpts{
Subsystem: WorkQueueSubsystem,
Name: UnfinishedWorkKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "How many seconds of work has done that " +
"is in progress and hasn't been observed by work_duration. Large " +
"values indicate stuck threads. One can deduce the number of stuck " +
"threads by observing the rate at which this increases.",
}, []string{"name"})
longestRunningProcessor = k8smetrics.NewGaugeVec(&k8smetrics.GaugeOpts{
Subsystem: WorkQueueSubsystem,
Name: LongestRunningProcessorKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "How many seconds has the longest running " +
"processor for workqueue been running.",
}, []string{"name"})
retries = k8smetrics.NewCounterVec(&k8smetrics.CounterOpts{
Subsystem: WorkQueueSubsystem,
Name: RetriesKey,
StabilityLevel: k8smetrics.ALPHA,
Help: "Total number of retries handled by workqueue",
}, []string{"name"})
metrics = []k8smetrics.Registerable{
depth, adds, latency, workDuration, unfinished, longestRunningProcessor, retries,
}
)
type prometheusMetricsProvider struct {
}
func init() {
for _, m := range metrics {
legacyregistry.MustRegister(m)
}
workqueue.SetProvider(prometheusMetricsProvider{})
}
func (prometheusMetricsProvider) NewDepthMetric(name string) workqueue.GaugeMetric {
return depth.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewAddsMetric(name string) workqueue.CounterMetric {
return adds.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewLatencyMetric(name string) workqueue.HistogramMetric {
return latency.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewWorkDurationMetric(name string) workqueue.HistogramMetric {
return workDuration.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewUnfinishedWorkSecondsMetric(name string) workqueue.SettableGaugeMetric {
return unfinished.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewLongestRunningProcessorSecondsMetric(name string) workqueue.SettableGaugeMetric {
return longestRunningProcessor.WithLabelValues(name)
}
func (prometheusMetricsProvider) NewRetriesMetric(name string) workqueue.CounterMetric {
return retries.WithLabelValues(name)
}