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*: update kube vendor to v1.7.4

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Signed-off-by: Antonio Murdaca <runcom@redhat.com>
This commit is contained in:
Antonio Murdaca 2017-08-04 13:13:19 +02:00
parent c67859731f
commit d56bf090ce
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1032 changed files with 273965 additions and 40081 deletions
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vendor/k8s.io/client-go/pkg/apis/autoscaling/annotations.go generated vendored Normal file
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/*
Copyright 2016 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 autoscaling
// MetricSpecsAnnotation is the annotation which holds non-CPU-utilization HPA metric
// specs when converting the `Metrics` field from autoscaling/v2alpha1
const MetricSpecsAnnotation = "autoscaling.alpha.kubernetes.io/metrics"
// MetricStatusesAnnotation is the annotation which holds non-CPU-utilization HPA metric
// statuses when converting the `CurrentMetrics` field from autoscaling/v2alpha1
const MetricStatusesAnnotation = "autoscaling.alpha.kubernetes.io/current-metrics"
// HorizontalPodAutoscalerConditionsAnnotation is the annotation which holds the conditions
// of an HPA when converting the `Conditions` field from autoscaling/v2alpha1
const HorizontalPodAutoscalerConditionsAnnotation = "autoscaling.alpha.kubernetes.io/conditions"
// DefaultCPUUtilization is the default value for CPU utilization, provided no other
// metrics are present. This is here because it's used by both the v2alpha1 defaulting
// logic, and the pseudo-defaulting done in v1 conversion.
const DefaultCPUUtilization = 80

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/*
Copyright 2016 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 autoscaling

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/*
Copyright 2016 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 autoscaling
import (
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/apimachinery/pkg/runtime/schema"
)
// GroupName is the group name use in this package
const GroupName = "autoscaling"
// SchemeGroupVersion is group version used to register these objects
var SchemeGroupVersion = schema.GroupVersion{Group: GroupName, Version: runtime.APIVersionInternal}
// Kind takes an unqualified kind and returns a Group qualified GroupKind
func Kind(kind string) schema.GroupKind {
return SchemeGroupVersion.WithKind(kind).GroupKind()
}
// Resource takes an unqualified resource and returns a Group qualified GroupResource
func Resource(resource string) schema.GroupResource {
return SchemeGroupVersion.WithResource(resource).GroupResource()
}
var (
SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes)
AddToScheme = SchemeBuilder.AddToScheme
)
// Adds the list of known types to api.Scheme.
func addKnownTypes(scheme *runtime.Scheme) error {
scheme.AddKnownTypes(SchemeGroupVersion,
&Scale{},
&HorizontalPodAutoscaler{},
&HorizontalPodAutoscalerList{},
)
return nil
}

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/*
Copyright 2016 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 autoscaling
import (
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/client-go/pkg/api"
)
// Scale represents a scaling request for a resource.
type Scale struct {
metav1.TypeMeta
// Standard object metadata; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata.
// +optional
metav1.ObjectMeta
// defines the behavior of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
Spec ScaleSpec
// current status of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status. Read-only.
// +optional
Status ScaleStatus
}
// ScaleSpec describes the attributes of a scale subresource.
type ScaleSpec struct {
// desired number of instances for the scaled object.
// +optional
Replicas int32
}
// ScaleStatus represents the current status of a scale subresource.
type ScaleStatus struct {
// actual number of observed instances of the scaled object.
Replicas int32
// label query over pods that should match the replicas count. This is same
// as the label selector but in the string format to avoid introspection
// by clients. The string will be in the same format as the query-param syntax.
// More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#label-selectors
// +optional
Selector string
}
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
type CrossVersionObjectReference struct {
// Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds"
Kind string
// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
Name string
// API version of the referent
// +optional
APIVersion string
}
// HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
type HorizontalPodAutoscalerSpec struct {
// ScaleTargetRef points to the target resource to scale, and is used to the pods for which metrics
// should be collected, as well as to actually change the replica count.
ScaleTargetRef CrossVersionObjectReference
// MinReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.
// It defaults to 1 pod.
// +optional
MinReplicas *int32
// MaxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.
// It cannot be less that minReplicas.
MaxReplicas int32
// Metrics contains the specifications for which to use to calculate the
// desired replica count (the maximum replica count across all metrics will
// be used). The desired replica count is calculated multiplying the
// ratio between the target value and the current value by the current
// number of pods. Ergo, metrics used must decrease as the pod count is
// increased, and vice-versa. See the individual metric source types for
// more information about how each type of metric must respond.
// +optional
Metrics []MetricSpec
}
// MetricSourceType indicates the type of metric.
type MetricSourceType string
var (
// ObjectMetricSourceType is a metric describing a kubernetes object
// (for example, hits-per-second on an Ingress object).
ObjectMetricSourceType MetricSourceType = "Object"
// PodsMetricSourceType is a metric describing each pod in the current scale
// target (for example, transactions-processed-per-second). The values
// will be averaged together before being compared to the target value.
PodsMetricSourceType MetricSourceType = "Pods"
// ResourceMetricSourceType is a resource metric known to Kubernetes, as
// specified in requests and limits, describing each pod in the current
// scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics (the "pods" source).
ResourceMetricSourceType MetricSourceType = "Resource"
)
// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
// Type is the type of metric source. It should match one of the fields below.
Type MetricSourceType
// Object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricSource
// Pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricSource
// Resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricSource
}
// ObjectMetricSource indicates how to scale on a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricSource struct {
// Target is the described Kubernetes object.
Target CrossVersionObjectReference
// MetricName is the name of the metric in question.
MetricName string
// TargetValue is the target value of the metric (as a quantity).
TargetValue resource.Quantity
}
// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target
// value.
type PodsMetricSource struct {
// MetricName is the name of the metric in question
MetricName string
// TargetAverageValue is the target value of the average of the
// metric across all relevant pods (as a quantity)
TargetAverageValue resource.Quantity
}
// ResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). The values will be averaged
// together before being compared to the target. Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
type ResourceMetricSource struct {
// Name is the name of the resource in question.
Name api.ResourceName
// TargetAverageUtilization is the target value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods.
// +optional
TargetAverageUtilization *int32
// TargetAverageValue is the target value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// +optional
TargetAverageValue *resource.Quantity
}
// HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
type HorizontalPodAutoscalerStatus struct {
// ObservedGeneration is the most recent generation observed by this autoscaler.
// +optional
ObservedGeneration *int64
// LastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods,
// used by the autoscaler to control how often the number of pods is changed.
// +optional
LastScaleTime *metav1.Time
// CurrentReplicas is current number of replicas of pods managed by this autoscaler,
// as last seen by the autoscaler.
CurrentReplicas int32
// DesiredReplicas is the desired number of replicas of pods managed by this autoscaler,
// as last calculated by the autoscaler.
DesiredReplicas int32
// CurrentMetrics is the last read state of the metrics used by this autoscaler.
CurrentMetrics []MetricStatus
// Conditions is the set of conditions required for this autoscaler to scale its target,
// and indicates whether or not those conditions are met.
Conditions []HorizontalPodAutoscalerCondition
}
// ConditionStatus indicates the status of a condition (true, false, or unknown).
type ConditionStatus string
// These are valid condition statuses. "ConditionTrue" means a resource is in the condition;
// "ConditionFalse" means a resource is not in the condition; "ConditionUnknown" means kubernetes
// can't decide if a resource is in the condition or not. In the future, we could add other
// intermediate conditions, e.g. ConditionDegraded.
const (
ConditionTrue ConditionStatus = "True"
ConditionFalse ConditionStatus = "False"
ConditionUnknown ConditionStatus = "Unknown"
)
// HorizontalPodAutoscalerConditionType are the valid conditions of
// a HorizontalPodAutoscaler.
type HorizontalPodAutoscalerConditionType string
var (
// ScalingActive indicates that the HPA controller is able to scale if necessary:
// it's correctly configured, can fetch the desired metrics, and isn't disabled.
ScalingActive HorizontalPodAutoscalerConditionType = "ScalingActive"
// AbleToScale indicates a lack of transient issues which prevent scaling from occuring,
// such as being in a backoff window, or being unable to access/update the target scale.
AbleToScale HorizontalPodAutoscalerConditionType = "AbleToScale"
// ScalingLimited indicates that the calculated scale based on metrics would be above or
// below the range for the HPA, and has thus been capped.
ScalingLimited HorizontalPodAutoscalerConditionType = "ScalingLimited"
)
// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
type HorizontalPodAutoscalerCondition struct {
// Type describes the current condition
Type HorizontalPodAutoscalerConditionType
// Status is the status of the condition (True, False, Unknown)
Status ConditionStatus
// LastTransitionTime is the last time the condition transitioned from
// one status to another
// +optional
LastTransitionTime metav1.Time
// Reason is the reason for the condition's last transition.
// +optional
Reason string
// Message is a human-readable explanation containing details about
// the transition
// +optional
Message string
}
// MetricStatus describes the last-read state of a single metric.
type MetricStatus struct {
// Type is the type of metric source. It will match one of the fields below.
Type MetricSourceType
// Object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricStatus
// Pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricStatus
// Resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricStatus
}
// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricStatus struct {
// Target is the described Kubernetes object.
Target CrossVersionObjectReference
// MetricName is the name of the metric in question.
MetricName string
// CurrentValue is the current value of the metric (as a quantity).
CurrentValue resource.Quantity
}
// PodsMetricStatus indicates the current value of a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
type PodsMetricStatus struct {
// MetricName is the name of the metric in question
MetricName string
// CurrentAverageValue is the current value of the average of the
// metric across all relevant pods (as a quantity)
CurrentAverageValue resource.Quantity
}
// ResourceMetricStatus indicates the current value of a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.
type ResourceMetricStatus struct {
// Name is the name of the resource in question.
Name api.ResourceName
// CurrentAverageUtilization is the current value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods. It will only be
// present if `targetAverageValue` was set in the corresponding metric
// specification.
// +optional
CurrentAverageUtilization *int32
// CurrentAverageValue is the current value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// It will always be set, regardless of the corresponding metric specification.
CurrentAverageValue resource.Quantity
}
// +genclient=true
// HorizontalPodAutoscaler is the configuration for a horizontal pod
// autoscaler, which automatically manages the replica count of any resource
// implementing the scale subresource based on the metrics specified.
type HorizontalPodAutoscaler struct {
metav1.TypeMeta
// Metadata is the standard object metadata.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
// +optional
metav1.ObjectMeta
// Spec is the specification for the behaviour of the autoscaler.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
Spec HorizontalPodAutoscalerSpec
// Status is the current information about the autoscaler.
// +optional
Status HorizontalPodAutoscalerStatus
}
// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.
type HorizontalPodAutoscalerList struct {
metav1.TypeMeta
// Metadata is the standard list metadata.
// +optional
metav1.ListMeta
// Items is the list of horizontal pod autoscaler objects.
Items []HorizontalPodAutoscaler
}

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/*
Copyright 2016 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 v1
import (
"encoding/json"
"k8s.io/apimachinery/pkg/conversion"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/client-go/pkg/api"
"k8s.io/client-go/pkg/apis/autoscaling"
)
func addConversionFuncs(scheme *runtime.Scheme) error {
// Add non-generated conversion functions
err := scheme.AddConversionFuncs(
Convert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler,
Convert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler,
Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec,
Convert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec,
Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus,
Convert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus,
)
if err != nil {
return err
}
return nil
}
func Convert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(in *autoscaling.HorizontalPodAutoscaler, out *HorizontalPodAutoscaler, s conversion.Scope) error {
if err := autoConvert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(in, out, s); err != nil {
return err
}
otherMetrics := make([]MetricSpec, 0, len(in.Spec.Metrics))
for _, metric := range in.Spec.Metrics {
if metric.Type == autoscaling.ResourceMetricSourceType && metric.Resource != nil && metric.Resource.Name == api.ResourceCPU && metric.Resource.TargetAverageUtilization != nil {
continue
}
convMetric := MetricSpec{}
if err := Convert_autoscaling_MetricSpec_To_v1_MetricSpec(&metric, &convMetric, s); err != nil {
return err
}
otherMetrics = append(otherMetrics, convMetric)
}
// NB: we need to save the status even if it maps to a CPU utilization status in order to save the raw value as well
currentMetrics := make([]MetricStatus, len(in.Status.CurrentMetrics))
for i, currentMetric := range in.Status.CurrentMetrics {
if err := Convert_autoscaling_MetricStatus_To_v1_MetricStatus(&currentMetric, &currentMetrics[i], s); err != nil {
return err
}
}
// store HPA conditions in an annotation
currentConditions := make([]HorizontalPodAutoscalerCondition, len(in.Status.Conditions))
for i, currentCondition := range in.Status.Conditions {
if err := Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition(&currentCondition, &currentConditions[i], s); err != nil {
return err
}
}
if len(otherMetrics) > 0 || len(in.Status.CurrentMetrics) > 0 || len(currentConditions) > 0 {
old := out.Annotations
out.Annotations = make(map[string]string, len(old)+3)
if old != nil {
for k, v := range old {
out.Annotations[k] = v
}
}
}
if len(otherMetrics) > 0 {
otherMetricsEnc, err := json.Marshal(otherMetrics)
if err != nil {
return err
}
out.Annotations[autoscaling.MetricSpecsAnnotation] = string(otherMetricsEnc)
}
if len(in.Status.CurrentMetrics) > 0 {
currentMetricsEnc, err := json.Marshal(currentMetrics)
if err != nil {
return err
}
out.Annotations[autoscaling.MetricStatusesAnnotation] = string(currentMetricsEnc)
}
if len(in.Status.Conditions) > 0 {
currentConditionsEnc, err := json.Marshal(currentConditions)
if err != nil {
return err
}
out.Annotations[autoscaling.HorizontalPodAutoscalerConditionsAnnotation] = string(currentConditionsEnc)
}
return nil
}
func Convert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler, out *autoscaling.HorizontalPodAutoscaler, s conversion.Scope) error {
if err := autoConvert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in, out, s); err != nil {
return err
}
if otherMetricsEnc, hasOtherMetrics := out.Annotations[autoscaling.MetricSpecsAnnotation]; hasOtherMetrics {
var otherMetrics []MetricSpec
if err := json.Unmarshal([]byte(otherMetricsEnc), &otherMetrics); err != nil {
return err
}
// the normal Spec conversion could have populated out.Spec.Metrics with a single element, so deal with that
outMetrics := make([]autoscaling.MetricSpec, len(otherMetrics)+len(out.Spec.Metrics))
for i, metric := range otherMetrics {
if err := Convert_v1_MetricSpec_To_autoscaling_MetricSpec(&metric, &outMetrics[i], s); err != nil {
return err
}
}
if out.Spec.Metrics != nil {
outMetrics[len(otherMetrics)] = out.Spec.Metrics[0]
}
out.Spec.Metrics = outMetrics
delete(out.Annotations, autoscaling.MetricSpecsAnnotation)
}
if currentMetricsEnc, hasCurrentMetrics := out.Annotations[autoscaling.MetricStatusesAnnotation]; hasCurrentMetrics {
// ignore any existing status values -- the ones here have more information
var currentMetrics []MetricStatus
if err := json.Unmarshal([]byte(currentMetricsEnc), &currentMetrics); err != nil {
return err
}
out.Status.CurrentMetrics = make([]autoscaling.MetricStatus, len(currentMetrics))
for i, currentMetric := range currentMetrics {
if err := Convert_v1_MetricStatus_To_autoscaling_MetricStatus(&currentMetric, &out.Status.CurrentMetrics[i], s); err != nil {
return err
}
}
delete(out.Annotations, autoscaling.MetricStatusesAnnotation)
}
// autoscaling/v1 formerly had an implicit default applied in the controller. In v2alpha1, we apply it explicitly.
// We apply it here, explicitly, since we have access to the full set of metrics from the annotation.
if len(out.Spec.Metrics) == 0 {
// no other metrics, no explicit CPU value set
out.Spec.Metrics = []autoscaling.MetricSpec{
{
Type: autoscaling.ResourceMetricSourceType,
Resource: &autoscaling.ResourceMetricSource{
Name: api.ResourceCPU,
},
},
}
out.Spec.Metrics[0].Resource.TargetAverageUtilization = new(int32)
*out.Spec.Metrics[0].Resource.TargetAverageUtilization = autoscaling.DefaultCPUUtilization
}
if currentConditionsEnc, hasCurrentConditions := out.Annotations[autoscaling.HorizontalPodAutoscalerConditionsAnnotation]; hasCurrentConditions {
var currentConditions []HorizontalPodAutoscalerCondition
if err := json.Unmarshal([]byte(currentConditionsEnc), &currentConditions); err != nil {
return err
}
out.Status.Conditions = make([]autoscaling.HorizontalPodAutoscalerCondition, len(currentConditions))
for i, currentCondition := range currentConditions {
if err := Convert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(&currentCondition, &out.Status.Conditions[i], s); err != nil {
return err
}
}
delete(out.Annotations, autoscaling.HorizontalPodAutoscalerConditionsAnnotation)
}
return nil
}
func Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec(in *autoscaling.HorizontalPodAutoscalerSpec, out *HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = in.MinReplicas
out.MaxReplicas = in.MaxReplicas
for _, metric := range in.Metrics {
if metric.Type == autoscaling.ResourceMetricSourceType && metric.Resource != nil && metric.Resource.Name == api.ResourceCPU {
if metric.Resource.TargetAverageUtilization != nil {
out.TargetCPUUtilizationPercentage = new(int32)
*out.TargetCPUUtilizationPercentage = *metric.Resource.TargetAverageUtilization
}
break
}
}
return nil
}
func Convert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in *HorizontalPodAutoscalerSpec, out *autoscaling.HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = in.MinReplicas
out.MaxReplicas = in.MaxReplicas
if in.TargetCPUUtilizationPercentage != nil {
out.Metrics = []autoscaling.MetricSpec{
{
Type: autoscaling.ResourceMetricSourceType,
Resource: &autoscaling.ResourceMetricSource{
Name: api.ResourceCPU,
},
},
}
out.Metrics[0].Resource.TargetAverageUtilization = new(int32)
*out.Metrics[0].Resource.TargetAverageUtilization = *in.TargetCPUUtilizationPercentage
}
return nil
}
func Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus(in *autoscaling.HorizontalPodAutoscalerStatus, out *HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = in.ObservedGeneration
out.LastScaleTime = in.LastScaleTime
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
for _, metric := range in.CurrentMetrics {
if metric.Type == autoscaling.ResourceMetricSourceType && metric.Resource != nil && metric.Resource.Name == api.ResourceCPU {
if metric.Resource.CurrentAverageUtilization != nil {
out.CurrentCPUUtilizationPercentage = new(int32)
*out.CurrentCPUUtilizationPercentage = *metric.Resource.CurrentAverageUtilization
}
}
}
return nil
}
func Convert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in *HorizontalPodAutoscalerStatus, out *autoscaling.HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = in.ObservedGeneration
out.LastScaleTime = in.LastScaleTime
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
if in.CurrentCPUUtilizationPercentage != nil {
out.CurrentMetrics = []autoscaling.MetricStatus{
{
Type: autoscaling.ResourceMetricSourceType,
Resource: &autoscaling.ResourceMetricStatus{
Name: api.ResourceCPU,
},
},
}
out.CurrentMetrics[0].Resource.CurrentAverageUtilization = new(int32)
*out.CurrentMetrics[0].Resource.CurrentAverageUtilization = *in.CurrentCPUUtilizationPercentage
}
return nil
}

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/*
Copyright 2016 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 v1
import (
"k8s.io/apimachinery/pkg/runtime"
)
func addDefaultingFuncs(scheme *runtime.Scheme) error {
return RegisterDefaults(scheme)
}
func SetDefaults_HorizontalPodAutoscaler(obj *HorizontalPodAutoscaler) {
if obj.Spec.MinReplicas == nil {
minReplicas := int32(1)
obj.Spec.MinReplicas = &minReplicas
}
// NB: we apply a default for CPU utilization in conversion because
// we need access to the annotations to properly apply the default.
}

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/*
Copyright 2016 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 v1

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/*
Copyright 2017 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.
*/
// This file was autogenerated by go-to-protobuf. Do not edit it manually!
syntax = 'proto2';
package k8s.io.client_go.pkg.apis.autoscaling.v1;
import "k8s.io/apimachinery/pkg/api/resource/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";
import "k8s.io/apimachinery/pkg/util/intstr/generated.proto";
import "k8s.io/kubernetes/pkg/api/v1/generated.proto";
// Package-wide variables from generator "generated".
option go_package = "v1";
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
message CrossVersionObjectReference {
// Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds"
optional string kind = 1;
// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
optional string name = 2;
// API version of the referent
// +optional
optional string apiVersion = 3;
}
// configuration of a horizontal pod autoscaler.
message HorizontalPodAutoscaler {
// Standard object metadata. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;
// behaviour of autoscaler. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
optional HorizontalPodAutoscalerSpec spec = 2;
// current information about the autoscaler.
// +optional
optional HorizontalPodAutoscalerStatus status = 3;
}
// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
message HorizontalPodAutoscalerCondition {
// type describes the current condition
optional string type = 1;
// status is the status of the condition (True, False, Unknown)
optional string status = 2;
// lastTransitionTime is the last time the condition transitioned from
// one status to another
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 3;
// reason is the reason for the condition's last transition.
// +optional
optional string reason = 4;
// message is a human-readable explanation containing details about
// the transition
// +optional
optional string message = 5;
}
// list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
// Standard list metadata.
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;
// list of horizontal pod autoscaler objects.
repeated HorizontalPodAutoscaler items = 2;
}
// specification of a horizontal pod autoscaler.
message HorizontalPodAutoscalerSpec {
// reference to scaled resource; horizontal pod autoscaler will learn the current resource consumption
// and will set the desired number of pods by using its Scale subresource.
optional CrossVersionObjectReference scaleTargetRef = 1;
// lower limit for the number of pods that can be set by the autoscaler, default 1.
// +optional
optional int32 minReplicas = 2;
// upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.
optional int32 maxReplicas = 3;
// target average CPU utilization (represented as a percentage of requested CPU) over all the pods;
// if not specified the default autoscaling policy will be used.
// +optional
optional int32 targetCPUUtilizationPercentage = 4;
}
// current status of a horizontal pod autoscaler
message HorizontalPodAutoscalerStatus {
// most recent generation observed by this autoscaler.
// +optional
optional int64 observedGeneration = 1;
// last time the HorizontalPodAutoscaler scaled the number of pods;
// used by the autoscaler to control how often the number of pods is changed.
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastScaleTime = 2;
// current number of replicas of pods managed by this autoscaler.
optional int32 currentReplicas = 3;
// desired number of replicas of pods managed by this autoscaler.
optional int32 desiredReplicas = 4;
// current average CPU utilization over all pods, represented as a percentage of requested CPU,
// e.g. 70 means that an average pod is using now 70% of its requested CPU.
// +optional
optional int32 currentCPUUtilizationPercentage = 5;
}
// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
message MetricSpec {
// type is the type of metric source. It should match one of the fields below.
optional string type = 1;
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
optional ObjectMetricSource object = 2;
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
optional PodsMetricSource pods = 3;
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
optional ResourceMetricSource resource = 4;
}
// MetricStatus describes the last-read state of a single metric.
message MetricStatus {
// type is the type of metric source. It will match one of the fields below.
optional string type = 1;
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
optional ObjectMetricStatus object = 2;
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
optional PodsMetricStatus pods = 3;
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
optional ResourceMetricStatus resource = 4;
}
// ObjectMetricSource indicates how to scale on a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
message ObjectMetricSource {
// target is the described Kubernetes object.
optional CrossVersionObjectReference target = 1;
// metricName is the name of the metric in question.
optional string metricName = 2;
// targetValue is the target value of the metric (as a quantity).
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetValue = 3;
}
// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
message ObjectMetricStatus {
// target is the described Kubernetes object.
optional CrossVersionObjectReference target = 1;
// metricName is the name of the metric in question.
optional string metricName = 2;
// currentValue is the current value of the metric (as a quantity).
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentValue = 3;
}
// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target
// value.
message PodsMetricSource {
// metricName is the name of the metric in question
optional string metricName = 1;
// targetAverageValue is the target value of the average of the
// metric across all relevant pods (as a quantity)
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 2;
}
// PodsMetricStatus indicates the current value of a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
message PodsMetricStatus {
// metricName is the name of the metric in question
optional string metricName = 1;
// currentAverageValue is the current value of the average of the
// metric across all relevant pods (as a quantity)
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentAverageValue = 2;
}
// ResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). The values will be averaged
// together before being compared to the target. Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
message ResourceMetricSource {
// name is the name of the resource in question.
optional string name = 1;
// targetAverageUtilization is the target value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods.
// +optional
optional int32 targetAverageUtilization = 2;
// targetAverageValue is the target value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// +optional
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 3;
}
// ResourceMetricStatus indicates the current value of a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.
message ResourceMetricStatus {
// name is the name of the resource in question.
optional string name = 1;
// currentAverageUtilization is the current value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods. It will only be
// present if `targetAverageValue` was set in the corresponding metric
// specification.
// +optional
optional int32 currentAverageUtilization = 2;
// currentAverageValue is the current value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// It will always be set, regardless of the corresponding metric specification.
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentAverageValue = 3;
}
// Scale represents a scaling request for a resource.
message Scale {
// Standard object metadata; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata.
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;
// defines the behavior of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
optional ScaleSpec spec = 2;
// current status of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status. Read-only.
// +optional
optional ScaleStatus status = 3;
}
// ScaleSpec describes the attributes of a scale subresource.
message ScaleSpec {
// desired number of instances for the scaled object.
// +optional
optional int32 replicas = 1;
}
// ScaleStatus represents the current status of a scale subresource.
message ScaleStatus {
// actual number of observed instances of the scaled object.
optional int32 replicas = 1;
// label query over pods that should match the replicas count. This is same
// as the label selector but in the string format to avoid introspection
// by clients. The string will be in the same format as the query-param syntax.
// More info about label selectors: http://kubernetes.io/docs/user-guide/labels#label-selectors
// +optional
optional string selector = 2;
}

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/*
Copyright 2016 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 v1
import (
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/apimachinery/pkg/runtime/schema"
)
// GroupName is the group name use in this package
const GroupName = "autoscaling"
// SchemeGroupVersion is group version used to register these objects
var SchemeGroupVersion = schema.GroupVersion{Group: GroupName, Version: "v1"}
// Resource takes an unqualified resource and returns a Group qualified GroupResource
func Resource(resource string) schema.GroupResource {
return SchemeGroupVersion.WithResource(resource).GroupResource()
}
var (
// TODO: move SchemeBuilder with zz_generated.deepcopy.go to k8s.io/api.
// localSchemeBuilder and AddToScheme will stay in k8s.io/kubernetes.
SchemeBuilder runtime.SchemeBuilder
localSchemeBuilder = &SchemeBuilder
AddToScheme = localSchemeBuilder.AddToScheme
)
func init() {
// We only register manually written functions here. The registration of the
// generated functions takes place in the generated files. The separation
// makes the code compile even when the generated files are missing.
localSchemeBuilder.Register(addKnownTypes, addDefaultingFuncs, addConversionFuncs)
}
// Adds the list of known types to api.Scheme.
func addKnownTypes(scheme *runtime.Scheme) error {
scheme.AddKnownTypes(SchemeGroupVersion,
&HorizontalPodAutoscaler{},
&HorizontalPodAutoscalerList{},
&Scale{},
)
metav1.AddToGroupVersion(scheme, SchemeGroupVersion)
return nil
}

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/*
Copyright 2016 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 v1
import (
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/client-go/pkg/api/v1"
)
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
type CrossVersionObjectReference struct {
// Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds"
Kind string `json:"kind" protobuf:"bytes,1,opt,name=kind"`
// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
Name string `json:"name" protobuf:"bytes,2,opt,name=name"`
// API version of the referent
// +optional
APIVersion string `json:"apiVersion,omitempty" protobuf:"bytes,3,opt,name=apiVersion"`
}
// specification of a horizontal pod autoscaler.
type HorizontalPodAutoscalerSpec struct {
// reference to scaled resource; horizontal pod autoscaler will learn the current resource consumption
// and will set the desired number of pods by using its Scale subresource.
ScaleTargetRef CrossVersionObjectReference `json:"scaleTargetRef" protobuf:"bytes,1,opt,name=scaleTargetRef"`
// lower limit for the number of pods that can be set by the autoscaler, default 1.
// +optional
MinReplicas *int32 `json:"minReplicas,omitempty" protobuf:"varint,2,opt,name=minReplicas"`
// upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.
MaxReplicas int32 `json:"maxReplicas" protobuf:"varint,3,opt,name=maxReplicas"`
// target average CPU utilization (represented as a percentage of requested CPU) over all the pods;
// if not specified the default autoscaling policy will be used.
// +optional
TargetCPUUtilizationPercentage *int32 `json:"targetCPUUtilizationPercentage,omitempty" protobuf:"varint,4,opt,name=targetCPUUtilizationPercentage"`
}
// current status of a horizontal pod autoscaler
type HorizontalPodAutoscalerStatus struct {
// most recent generation observed by this autoscaler.
// +optional
ObservedGeneration *int64 `json:"observedGeneration,omitempty" protobuf:"varint,1,opt,name=observedGeneration"`
// last time the HorizontalPodAutoscaler scaled the number of pods;
// used by the autoscaler to control how often the number of pods is changed.
// +optional
LastScaleTime *metav1.Time `json:"lastScaleTime,omitempty" protobuf:"bytes,2,opt,name=lastScaleTime"`
// current number of replicas of pods managed by this autoscaler.
CurrentReplicas int32 `json:"currentReplicas" protobuf:"varint,3,opt,name=currentReplicas"`
// desired number of replicas of pods managed by this autoscaler.
DesiredReplicas int32 `json:"desiredReplicas" protobuf:"varint,4,opt,name=desiredReplicas"`
// current average CPU utilization over all pods, represented as a percentage of requested CPU,
// e.g. 70 means that an average pod is using now 70% of its requested CPU.
// +optional
CurrentCPUUtilizationPercentage *int32 `json:"currentCPUUtilizationPercentage,omitempty" protobuf:"varint,5,opt,name=currentCPUUtilizationPercentage"`
}
// +genclient=true
// configuration of a horizontal pod autoscaler.
type HorizontalPodAutoscaler struct {
metav1.TypeMeta `json:",inline"`
// Standard object metadata. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
// +optional
metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
// behaviour of autoscaler. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
Spec HorizontalPodAutoscalerSpec `json:"spec,omitempty" protobuf:"bytes,2,opt,name=spec"`
// current information about the autoscaler.
// +optional
Status HorizontalPodAutoscalerStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}
// list of horizontal pod autoscaler objects.
type HorizontalPodAutoscalerList struct {
metav1.TypeMeta `json:",inline"`
// Standard list metadata.
// +optional
metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
// list of horizontal pod autoscaler objects.
Items []HorizontalPodAutoscaler `json:"items" protobuf:"bytes,2,rep,name=items"`
}
// Scale represents a scaling request for a resource.
type Scale struct {
metav1.TypeMeta `json:",inline"`
// Standard object metadata; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata.
// +optional
metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
// defines the behavior of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
Spec ScaleSpec `json:"spec,omitempty" protobuf:"bytes,2,opt,name=spec"`
// current status of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status. Read-only.
// +optional
Status ScaleStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}
// ScaleSpec describes the attributes of a scale subresource.
type ScaleSpec struct {
// desired number of instances for the scaled object.
// +optional
Replicas int32 `json:"replicas,omitempty" protobuf:"varint,1,opt,name=replicas"`
}
// ScaleStatus represents the current status of a scale subresource.
type ScaleStatus struct {
// actual number of observed instances of the scaled object.
Replicas int32 `json:"replicas" protobuf:"varint,1,opt,name=replicas"`
// label query over pods that should match the replicas count. This is same
// as the label selector but in the string format to avoid introspection
// by clients. The string will be in the same format as the query-param syntax.
// More info about label selectors: http://kubernetes.io/docs/user-guide/labels#label-selectors
// +optional
Selector string `json:"selector,omitempty" protobuf:"bytes,2,opt,name=selector"`
}
// the types below are used in the alpha metrics annotation
// MetricSourceType indicates the type of metric.
type MetricSourceType string
var (
// ObjectMetricSourceType is a metric describing a kubernetes object
// (for example, hits-per-second on an Ingress object).
ObjectMetricSourceType MetricSourceType = "Object"
// PodsMetricSourceType is a metric describing each pod in the current scale
// target (for example, transactions-processed-per-second). The values
// will be averaged together before being compared to the target value.
PodsMetricSourceType MetricSourceType = "Pods"
// ResourceMetricSourceType is a resource metric known to Kubernetes, as
// specified in requests and limits, describing each pod in the current
// scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics (the "pods" source).
ResourceMetricSourceType MetricSourceType = "Resource"
)
// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
// type is the type of metric source. It should match one of the fields below.
Type MetricSourceType `json:"type" protobuf:"bytes,1,name=type"`
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricSource `json:"object,omitempty" protobuf:"bytes,2,opt,name=object"`
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricSource `json:"pods,omitempty" protobuf:"bytes,3,opt,name=pods"`
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricSource `json:"resource,omitempty" protobuf:"bytes,4,opt,name=resource"`
}
// ObjectMetricSource indicates how to scale on a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricSource struct {
// target is the described Kubernetes object.
Target CrossVersionObjectReference `json:"target" protobuf:"bytes,1,name=target"`
// metricName is the name of the metric in question.
MetricName string `json:"metricName" protobuf:"bytes,2,name=metricName"`
// targetValue is the target value of the metric (as a quantity).
TargetValue resource.Quantity `json:"targetValue" protobuf:"bytes,3,name=targetValue"`
}
// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target
// value.
type PodsMetricSource struct {
// metricName is the name of the metric in question
MetricName string `json:"metricName" protobuf:"bytes,1,name=metricName"`
// targetAverageValue is the target value of the average of the
// metric across all relevant pods (as a quantity)
TargetAverageValue resource.Quantity `json:"targetAverageValue" protobuf:"bytes,2,name=targetAverageValue"`
}
// ResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). The values will be averaged
// together before being compared to the target. Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
type ResourceMetricSource struct {
// name is the name of the resource in question.
Name v1.ResourceName `json:"name" protobuf:"bytes,1,name=name"`
// targetAverageUtilization is the target value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods.
// +optional
TargetAverageUtilization *int32 `json:"targetAverageUtilization,omitempty" protobuf:"varint,2,opt,name=targetAverageUtilization"`
// targetAverageValue is the target value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// +optional
TargetAverageValue *resource.Quantity `json:"targetAverageValue,omitempty" protobuf:"bytes,3,opt,name=targetAverageValue"`
}
// MetricStatus describes the last-read state of a single metric.
type MetricStatus struct {
// type is the type of metric source. It will match one of the fields below.
Type MetricSourceType `json:"type" protobuf:"bytes,1,name=type"`
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricStatus `json:"object,omitempty" protobuf:"bytes,2,opt,name=object"`
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricStatus `json:"pods,omitempty" protobuf:"bytes,3,opt,name=pods"`
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricStatus `json:"resource,omitempty" protobuf:"bytes,4,opt,name=resource"`
}
// HorizontalPodAutoscalerConditionType are the valid conditions of
// a HorizontalPodAutoscaler.
type HorizontalPodAutoscalerConditionType string
var (
// ScalingActive indicates that the HPA controller is able to scale if necessary:
// it's correctly configured, can fetch the desired metrics, and isn't disabled.
ScalingActive HorizontalPodAutoscalerConditionType = "ScalingActive"
// AbleToScale indicates a lack of transient issues which prevent scaling from occuring,
// such as being in a backoff window, or being unable to access/update the target scale.
AbleToScale HorizontalPodAutoscalerConditionType = "AbleToScale"
// ScalingLimited indicates that the calculated scale based on metrics would be above or
// below the range for the HPA, and has thus been capped.
ScalingLimited HorizontalPodAutoscalerConditionType = "ScalingLimited"
)
// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
type HorizontalPodAutoscalerCondition struct {
// type describes the current condition
Type HorizontalPodAutoscalerConditionType `json:"type" protobuf:"bytes,1,name=type"`
// status is the status of the condition (True, False, Unknown)
Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,name=status"`
// lastTransitionTime is the last time the condition transitioned from
// one status to another
// +optional
LastTransitionTime metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,3,opt,name=lastTransitionTime"`
// reason is the reason for the condition's last transition.
// +optional
Reason string `json:"reason,omitempty" protobuf:"bytes,4,opt,name=reason"`
// message is a human-readable explanation containing details about
// the transition
// +optional
Message string `json:"message,omitempty" protobuf:"bytes,5,opt,name=message"`
}
// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricStatus struct {
// target is the described Kubernetes object.
Target CrossVersionObjectReference `json:"target" protobuf:"bytes,1,name=target"`
// metricName is the name of the metric in question.
MetricName string `json:"metricName" protobuf:"bytes,2,name=metricName"`
// currentValue is the current value of the metric (as a quantity).
CurrentValue resource.Quantity `json:"currentValue" protobuf:"bytes,3,name=currentValue"`
}
// PodsMetricStatus indicates the current value of a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
type PodsMetricStatus struct {
// metricName is the name of the metric in question
MetricName string `json:"metricName" protobuf:"bytes,1,name=metricName"`
// currentAverageValue is the current value of the average of the
// metric across all relevant pods (as a quantity)
CurrentAverageValue resource.Quantity `json:"currentAverageValue" protobuf:"bytes,2,name=currentAverageValue"`
}
// ResourceMetricStatus indicates the current value of a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.
type ResourceMetricStatus struct {
// name is the name of the resource in question.
Name v1.ResourceName `json:"name" protobuf:"bytes,1,name=name"`
// currentAverageUtilization is the current value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods. It will only be
// present if `targetAverageValue` was set in the corresponding metric
// specification.
// +optional
CurrentAverageUtilization *int32 `json:"currentAverageUtilization,omitempty" protobuf:"bytes,2,opt,name=currentAverageUtilization"`
// currentAverageValue is the current value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// It will always be set, regardless of the corresponding metric specification.
CurrentAverageValue resource.Quantity `json:"currentAverageValue" protobuf:"bytes,3,name=currentAverageValue"`
}

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/*
Copyright 2016 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 v1
// This file contains a collection of methods that can be used from go-restful to
// generate Swagger API documentation for its models. Please read this PR for more
// information on the implementation: https://github.com/emicklei/go-restful/pull/215
//
// TODOs are ignored from the parser (e.g. TODO(andronat):... || TODO:...) if and only if
// they are on one line! For multiple line or blocks that you want to ignore use ---.
// Any context after a --- is ignored.
//
// Those methods can be generated by using hack/update-generated-swagger-docs.sh
// AUTO-GENERATED FUNCTIONS START HERE
var map_CrossVersionObjectReference = map[string]string{
"": "CrossVersionObjectReference contains enough information to let you identify the referred resource.",
"kind": "Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds\"",
"name": "Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names",
"apiVersion": "API version of the referent",
}
func (CrossVersionObjectReference) SwaggerDoc() map[string]string {
return map_CrossVersionObjectReference
}
var map_HorizontalPodAutoscaler = map[string]string{
"": "configuration of a horizontal pod autoscaler.",
"metadata": "Standard object metadata. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata",
"spec": "behaviour of autoscaler. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.",
"status": "current information about the autoscaler.",
}
func (HorizontalPodAutoscaler) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscaler
}
var map_HorizontalPodAutoscalerCondition = map[string]string{
"": "HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.",
"type": "type describes the current condition",
"status": "status is the status of the condition (True, False, Unknown)",
"lastTransitionTime": "lastTransitionTime is the last time the condition transitioned from one status to another",
"reason": "reason is the reason for the condition's last transition.",
"message": "message is a human-readable explanation containing details about the transition",
}
func (HorizontalPodAutoscalerCondition) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerCondition
}
var map_HorizontalPodAutoscalerList = map[string]string{
"": "list of horizontal pod autoscaler objects.",
"metadata": "Standard list metadata.",
"items": "list of horizontal pod autoscaler objects.",
}
func (HorizontalPodAutoscalerList) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerList
}
var map_HorizontalPodAutoscalerSpec = map[string]string{
"": "specification of a horizontal pod autoscaler.",
"scaleTargetRef": "reference to scaled resource; horizontal pod autoscaler will learn the current resource consumption and will set the desired number of pods by using its Scale subresource.",
"minReplicas": "lower limit for the number of pods that can be set by the autoscaler, default 1.",
"maxReplicas": "upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.",
"targetCPUUtilizationPercentage": "target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.",
}
func (HorizontalPodAutoscalerSpec) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerSpec
}
var map_HorizontalPodAutoscalerStatus = map[string]string{
"": "current status of a horizontal pod autoscaler",
"observedGeneration": "most recent generation observed by this autoscaler.",
"lastScaleTime": "last time the HorizontalPodAutoscaler scaled the number of pods; used by the autoscaler to control how often the number of pods is changed.",
"currentReplicas": "current number of replicas of pods managed by this autoscaler.",
"desiredReplicas": "desired number of replicas of pods managed by this autoscaler.",
"currentCPUUtilizationPercentage": "current average CPU utilization over all pods, represented as a percentage of requested CPU, e.g. 70 means that an average pod is using now 70% of its requested CPU.",
}
func (HorizontalPodAutoscalerStatus) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerStatus
}
var map_MetricSpec = map[string]string{
"": "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",
"type": "type is the type of metric source. It should match one of the fields below.",
"object": "object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods": "pods refers to a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"resource": "resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
}
func (MetricSpec) SwaggerDoc() map[string]string {
return map_MetricSpec
}
var map_MetricStatus = map[string]string{
"": "MetricStatus describes the last-read state of a single metric.",
"type": "type is the type of metric source. It will match one of the fields below.",
"object": "object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods": "pods refers to a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"resource": "resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
}
func (MetricStatus) SwaggerDoc() map[string]string {
return map_MetricStatus
}
var map_ObjectMetricSource = map[string]string{
"": "ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).",
"target": "target is the described Kubernetes object.",
"metricName": "metricName is the name of the metric in question.",
"targetValue": "targetValue is the target value of the metric (as a quantity).",
}
func (ObjectMetricSource) SwaggerDoc() map[string]string {
return map_ObjectMetricSource
}
var map_ObjectMetricStatus = map[string]string{
"": "ObjectMetricStatus indicates the current value of a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).",
"target": "target is the described Kubernetes object.",
"metricName": "metricName is the name of the metric in question.",
"currentValue": "currentValue is the current value of the metric (as a quantity).",
}
func (ObjectMetricStatus) SwaggerDoc() map[string]string {
return map_ObjectMetricStatus
}
var map_PodsMetricSource = map[string]string{
"": "PodsMetricSource indicates how to scale on a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"metricName": "metricName is the name of the metric in question",
"targetAverageValue": "targetAverageValue is the target value of the average of the metric across all relevant pods (as a quantity)",
}
func (PodsMetricSource) SwaggerDoc() map[string]string {
return map_PodsMetricSource
}
var map_PodsMetricStatus = map[string]string{
"": "PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).",
"metricName": "metricName is the name of the metric in question",
"currentAverageValue": "currentAverageValue is the current value of the average of the metric across all relevant pods (as a quantity)",
}
func (PodsMetricStatus) SwaggerDoc() map[string]string {
return map_PodsMetricStatus
}
var map_ResourceMetricSource = map[string]string{
"": "ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. Only one \"target\" type should be set.",
"name": "name is the name of the resource in question.",
"targetAverageUtilization": "targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.",
"targetAverageValue": "targetAverageValue is the target value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type.",
}
func (ResourceMetricSource) SwaggerDoc() map[string]string {
return map_ResourceMetricSource
}
var map_ResourceMetricStatus = map[string]string{
"": "ResourceMetricStatus indicates the current value of a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
"name": "name is the name of the resource in question.",
"currentAverageUtilization": "currentAverageUtilization is the current value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. It will only be present if `targetAverageValue` was set in the corresponding metric specification.",
"currentAverageValue": "currentAverageValue is the current value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type. It will always be set, regardless of the corresponding metric specification.",
}
func (ResourceMetricStatus) SwaggerDoc() map[string]string {
return map_ResourceMetricStatus
}
var map_Scale = map[string]string{
"": "Scale represents a scaling request for a resource.",
"metadata": "Standard object metadata; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata.",
"spec": "defines the behavior of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.",
"status": "current status of the scale. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status. Read-only.",
}
func (Scale) SwaggerDoc() map[string]string {
return map_Scale
}
var map_ScaleSpec = map[string]string{
"": "ScaleSpec describes the attributes of a scale subresource.",
"replicas": "desired number of instances for the scaled object.",
}
func (ScaleSpec) SwaggerDoc() map[string]string {
return map_ScaleSpec
}
var map_ScaleStatus = map[string]string{
"": "ScaleStatus represents the current status of a scale subresource.",
"replicas": "actual number of observed instances of the scaled object.",
"selector": "label query over pods that should match the replicas count. This is same as the label selector but in the string format to avoid introspection by clients. The string will be in the same format as the query-param syntax. More info about label selectors: http://kubernetes.io/docs/user-guide/labels#label-selectors",
}
func (ScaleStatus) SwaggerDoc() map[string]string {
return map_ScaleStatus
}
// AUTO-GENERATED FUNCTIONS END HERE

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// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by conversion-gen. Do not edit it manually!
package v1
import (
resource "k8s.io/apimachinery/pkg/api/resource"
meta_v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
api "k8s.io/client-go/pkg/api"
api_v1 "k8s.io/client-go/pkg/api/v1"
autoscaling "k8s.io/client-go/pkg/apis/autoscaling"
unsafe "unsafe"
)
func init() {
SchemeBuilder.Register(RegisterConversions)
}
// RegisterConversions adds conversion functions to the given scheme.
// Public to allow building arbitrary schemes.
func RegisterConversions(scheme *runtime.Scheme) error {
return scheme.AddGeneratedConversionFuncs(
Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference,
Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference,
Convert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler,
Convert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler,
Convert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition,
Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition,
Convert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList,
Convert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList,
Convert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec,
Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec,
Convert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus,
Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus,
Convert_v1_MetricSpec_To_autoscaling_MetricSpec,
Convert_autoscaling_MetricSpec_To_v1_MetricSpec,
Convert_v1_MetricStatus_To_autoscaling_MetricStatus,
Convert_autoscaling_MetricStatus_To_v1_MetricStatus,
Convert_v1_ObjectMetricSource_To_autoscaling_ObjectMetricSource,
Convert_autoscaling_ObjectMetricSource_To_v1_ObjectMetricSource,
Convert_v1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus,
Convert_autoscaling_ObjectMetricStatus_To_v1_ObjectMetricStatus,
Convert_v1_PodsMetricSource_To_autoscaling_PodsMetricSource,
Convert_autoscaling_PodsMetricSource_To_v1_PodsMetricSource,
Convert_v1_PodsMetricStatus_To_autoscaling_PodsMetricStatus,
Convert_autoscaling_PodsMetricStatus_To_v1_PodsMetricStatus,
Convert_v1_ResourceMetricSource_To_autoscaling_ResourceMetricSource,
Convert_autoscaling_ResourceMetricSource_To_v1_ResourceMetricSource,
Convert_v1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus,
Convert_autoscaling_ResourceMetricStatus_To_v1_ResourceMetricStatus,
Convert_v1_Scale_To_autoscaling_Scale,
Convert_autoscaling_Scale_To_v1_Scale,
Convert_v1_ScaleSpec_To_autoscaling_ScaleSpec,
Convert_autoscaling_ScaleSpec_To_v1_ScaleSpec,
Convert_v1_ScaleStatus_To_autoscaling_ScaleStatus,
Convert_autoscaling_ScaleStatus_To_v1_ScaleStatus,
)
}
func autoConvert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in *CrossVersionObjectReference, out *autoscaling.CrossVersionObjectReference, s conversion.Scope) error {
out.Kind = in.Kind
out.Name = in.Name
out.APIVersion = in.APIVersion
return nil
}
// Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference is an autogenerated conversion function.
func Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in *CrossVersionObjectReference, out *autoscaling.CrossVersionObjectReference, s conversion.Scope) error {
return autoConvert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in, out, s)
}
func autoConvert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(in *autoscaling.CrossVersionObjectReference, out *CrossVersionObjectReference, s conversion.Scope) error {
out.Kind = in.Kind
out.Name = in.Name
out.APIVersion = in.APIVersion
return nil
}
// Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference is an autogenerated conversion function.
func Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(in *autoscaling.CrossVersionObjectReference, out *CrossVersionObjectReference, s conversion.Scope) error {
return autoConvert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(in, out, s)
}
func autoConvert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler, out *autoscaling.HorizontalPodAutoscaler, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
func autoConvert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(in *autoscaling.HorizontalPodAutoscaler, out *HorizontalPodAutoscaler, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
func autoConvert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in *HorizontalPodAutoscalerCondition, out *autoscaling.HorizontalPodAutoscalerCondition, s conversion.Scope) error {
out.Type = autoscaling.HorizontalPodAutoscalerConditionType(in.Type)
out.Status = autoscaling.ConditionStatus(in.Status)
out.LastTransitionTime = in.LastTransitionTime
out.Reason = in.Reason
out.Message = in.Message
return nil
}
// Convert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition is an autogenerated conversion function.
func Convert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in *HorizontalPodAutoscalerCondition, out *autoscaling.HorizontalPodAutoscalerCondition, s conversion.Scope) error {
return autoConvert_v1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition(in *autoscaling.HorizontalPodAutoscalerCondition, out *HorizontalPodAutoscalerCondition, s conversion.Scope) error {
out.Type = HorizontalPodAutoscalerConditionType(in.Type)
out.Status = api_v1.ConditionStatus(in.Status)
out.LastTransitionTime = in.LastTransitionTime
out.Reason = in.Reason
out.Message = in.Message
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition(in *autoscaling.HorizontalPodAutoscalerCondition, out *HorizontalPodAutoscalerCondition, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerCondition_To_v1_HorizontalPodAutoscalerCondition(in, out, s)
}
func autoConvert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList, out *autoscaling.HorizontalPodAutoscalerList, s conversion.Scope) error {
out.ListMeta = in.ListMeta
if in.Items != nil {
in, out := &in.Items, &out.Items
*out = make([]autoscaling.HorizontalPodAutoscaler, len(*in))
for i := range *in {
if err := Convert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(&(*in)[i], &(*out)[i], s); err != nil {
return err
}
}
} else {
out.Items = nil
}
return nil
}
// Convert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList is an autogenerated conversion function.
func Convert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList, out *autoscaling.HorizontalPodAutoscalerList, s conversion.Scope) error {
return autoConvert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList(in *autoscaling.HorizontalPodAutoscalerList, out *HorizontalPodAutoscalerList, s conversion.Scope) error {
out.ListMeta = in.ListMeta
if in.Items != nil {
in, out := &in.Items, &out.Items
*out = make([]HorizontalPodAutoscaler, len(*in))
for i := range *in {
if err := Convert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(&(*in)[i], &(*out)[i], s); err != nil {
return err
}
}
} else {
out.Items = make([]HorizontalPodAutoscaler, 0)
}
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList(in *autoscaling.HorizontalPodAutoscalerList, out *HorizontalPodAutoscalerList, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList(in, out, s)
}
func autoConvert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in *HorizontalPodAutoscalerSpec, out *autoscaling.HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = (*int32)(unsafe.Pointer(in.MinReplicas))
out.MaxReplicas = in.MaxReplicas
// WARNING: in.TargetCPUUtilizationPercentage requires manual conversion: does not exist in peer-type
return nil
}
func autoConvert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec(in *autoscaling.HorizontalPodAutoscalerSpec, out *HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = (*int32)(unsafe.Pointer(in.MinReplicas))
out.MaxReplicas = in.MaxReplicas
// WARNING: in.Metrics requires manual conversion: does not exist in peer-type
return nil
}
func autoConvert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in *HorizontalPodAutoscalerStatus, out *autoscaling.HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = (*int64)(unsafe.Pointer(in.ObservedGeneration))
out.LastScaleTime = (*meta_v1.Time)(unsafe.Pointer(in.LastScaleTime))
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
// WARNING: in.CurrentCPUUtilizationPercentage requires manual conversion: does not exist in peer-type
return nil
}
func autoConvert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus(in *autoscaling.HorizontalPodAutoscalerStatus, out *HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = (*int64)(unsafe.Pointer(in.ObservedGeneration))
out.LastScaleTime = (*meta_v1.Time)(unsafe.Pointer(in.LastScaleTime))
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
// WARNING: in.CurrentMetrics requires manual conversion: does not exist in peer-type
// WARNING: in.Conditions requires manual conversion: does not exist in peer-type
return nil
}
func autoConvert_v1_MetricSpec_To_autoscaling_MetricSpec(in *MetricSpec, out *autoscaling.MetricSpec, s conversion.Scope) error {
out.Type = autoscaling.MetricSourceType(in.Type)
out.Object = (*autoscaling.ObjectMetricSource)(unsafe.Pointer(in.Object))
out.Pods = (*autoscaling.PodsMetricSource)(unsafe.Pointer(in.Pods))
out.Resource = (*autoscaling.ResourceMetricSource)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_v1_MetricSpec_To_autoscaling_MetricSpec is an autogenerated conversion function.
func Convert_v1_MetricSpec_To_autoscaling_MetricSpec(in *MetricSpec, out *autoscaling.MetricSpec, s conversion.Scope) error {
return autoConvert_v1_MetricSpec_To_autoscaling_MetricSpec(in, out, s)
}
func autoConvert_autoscaling_MetricSpec_To_v1_MetricSpec(in *autoscaling.MetricSpec, out *MetricSpec, s conversion.Scope) error {
out.Type = MetricSourceType(in.Type)
out.Object = (*ObjectMetricSource)(unsafe.Pointer(in.Object))
out.Pods = (*PodsMetricSource)(unsafe.Pointer(in.Pods))
out.Resource = (*ResourceMetricSource)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_autoscaling_MetricSpec_To_v1_MetricSpec is an autogenerated conversion function.
func Convert_autoscaling_MetricSpec_To_v1_MetricSpec(in *autoscaling.MetricSpec, out *MetricSpec, s conversion.Scope) error {
return autoConvert_autoscaling_MetricSpec_To_v1_MetricSpec(in, out, s)
}
func autoConvert_v1_MetricStatus_To_autoscaling_MetricStatus(in *MetricStatus, out *autoscaling.MetricStatus, s conversion.Scope) error {
out.Type = autoscaling.MetricSourceType(in.Type)
out.Object = (*autoscaling.ObjectMetricStatus)(unsafe.Pointer(in.Object))
out.Pods = (*autoscaling.PodsMetricStatus)(unsafe.Pointer(in.Pods))
out.Resource = (*autoscaling.ResourceMetricStatus)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_v1_MetricStatus_To_autoscaling_MetricStatus is an autogenerated conversion function.
func Convert_v1_MetricStatus_To_autoscaling_MetricStatus(in *MetricStatus, out *autoscaling.MetricStatus, s conversion.Scope) error {
return autoConvert_v1_MetricStatus_To_autoscaling_MetricStatus(in, out, s)
}
func autoConvert_autoscaling_MetricStatus_To_v1_MetricStatus(in *autoscaling.MetricStatus, out *MetricStatus, s conversion.Scope) error {
out.Type = MetricSourceType(in.Type)
out.Object = (*ObjectMetricStatus)(unsafe.Pointer(in.Object))
out.Pods = (*PodsMetricStatus)(unsafe.Pointer(in.Pods))
out.Resource = (*ResourceMetricStatus)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_autoscaling_MetricStatus_To_v1_MetricStatus is an autogenerated conversion function.
func Convert_autoscaling_MetricStatus_To_v1_MetricStatus(in *autoscaling.MetricStatus, out *MetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_MetricStatus_To_v1_MetricStatus(in, out, s)
}
func autoConvert_v1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in *ObjectMetricSource, out *autoscaling.ObjectMetricSource, s conversion.Scope) error {
if err := Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.TargetValue = in.TargetValue
return nil
}
// Convert_v1_ObjectMetricSource_To_autoscaling_ObjectMetricSource is an autogenerated conversion function.
func Convert_v1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in *ObjectMetricSource, out *autoscaling.ObjectMetricSource, s conversion.Scope) error {
return autoConvert_v1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in, out, s)
}
func autoConvert_autoscaling_ObjectMetricSource_To_v1_ObjectMetricSource(in *autoscaling.ObjectMetricSource, out *ObjectMetricSource, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.TargetValue = in.TargetValue
return nil
}
// Convert_autoscaling_ObjectMetricSource_To_v1_ObjectMetricSource is an autogenerated conversion function.
func Convert_autoscaling_ObjectMetricSource_To_v1_ObjectMetricSource(in *autoscaling.ObjectMetricSource, out *ObjectMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_ObjectMetricSource_To_v1_ObjectMetricSource(in, out, s)
}
func autoConvert_v1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in *ObjectMetricStatus, out *autoscaling.ObjectMetricStatus, s conversion.Scope) error {
if err := Convert_v1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.CurrentValue = in.CurrentValue
return nil
}
// Convert_v1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus is an autogenerated conversion function.
func Convert_v1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in *ObjectMetricStatus, out *autoscaling.ObjectMetricStatus, s conversion.Scope) error {
return autoConvert_v1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in, out, s)
}
func autoConvert_autoscaling_ObjectMetricStatus_To_v1_ObjectMetricStatus(in *autoscaling.ObjectMetricStatus, out *ObjectMetricStatus, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v1_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.CurrentValue = in.CurrentValue
return nil
}
// Convert_autoscaling_ObjectMetricStatus_To_v1_ObjectMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_ObjectMetricStatus_To_v1_ObjectMetricStatus(in *autoscaling.ObjectMetricStatus, out *ObjectMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_ObjectMetricStatus_To_v1_ObjectMetricStatus(in, out, s)
}
func autoConvert_v1_PodsMetricSource_To_autoscaling_PodsMetricSource(in *PodsMetricSource, out *autoscaling.PodsMetricSource, s conversion.Scope) error {
out.MetricName = in.MetricName
out.TargetAverageValue = in.TargetAverageValue
return nil
}
// Convert_v1_PodsMetricSource_To_autoscaling_PodsMetricSource is an autogenerated conversion function.
func Convert_v1_PodsMetricSource_To_autoscaling_PodsMetricSource(in *PodsMetricSource, out *autoscaling.PodsMetricSource, s conversion.Scope) error {
return autoConvert_v1_PodsMetricSource_To_autoscaling_PodsMetricSource(in, out, s)
}
func autoConvert_autoscaling_PodsMetricSource_To_v1_PodsMetricSource(in *autoscaling.PodsMetricSource, out *PodsMetricSource, s conversion.Scope) error {
out.MetricName = in.MetricName
out.TargetAverageValue = in.TargetAverageValue
return nil
}
// Convert_autoscaling_PodsMetricSource_To_v1_PodsMetricSource is an autogenerated conversion function.
func Convert_autoscaling_PodsMetricSource_To_v1_PodsMetricSource(in *autoscaling.PodsMetricSource, out *PodsMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_PodsMetricSource_To_v1_PodsMetricSource(in, out, s)
}
func autoConvert_v1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in *PodsMetricStatus, out *autoscaling.PodsMetricStatus, s conversion.Scope) error {
out.MetricName = in.MetricName
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_v1_PodsMetricStatus_To_autoscaling_PodsMetricStatus is an autogenerated conversion function.
func Convert_v1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in *PodsMetricStatus, out *autoscaling.PodsMetricStatus, s conversion.Scope) error {
return autoConvert_v1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in, out, s)
}
func autoConvert_autoscaling_PodsMetricStatus_To_v1_PodsMetricStatus(in *autoscaling.PodsMetricStatus, out *PodsMetricStatus, s conversion.Scope) error {
out.MetricName = in.MetricName
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_autoscaling_PodsMetricStatus_To_v1_PodsMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_PodsMetricStatus_To_v1_PodsMetricStatus(in *autoscaling.PodsMetricStatus, out *PodsMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_PodsMetricStatus_To_v1_PodsMetricStatus(in, out, s)
}
func autoConvert_v1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in *ResourceMetricSource, out *autoscaling.ResourceMetricSource, s conversion.Scope) error {
out.Name = api.ResourceName(in.Name)
out.TargetAverageUtilization = (*int32)(unsafe.Pointer(in.TargetAverageUtilization))
out.TargetAverageValue = (*resource.Quantity)(unsafe.Pointer(in.TargetAverageValue))
return nil
}
// Convert_v1_ResourceMetricSource_To_autoscaling_ResourceMetricSource is an autogenerated conversion function.
func Convert_v1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in *ResourceMetricSource, out *autoscaling.ResourceMetricSource, s conversion.Scope) error {
return autoConvert_v1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in, out, s)
}
func autoConvert_autoscaling_ResourceMetricSource_To_v1_ResourceMetricSource(in *autoscaling.ResourceMetricSource, out *ResourceMetricSource, s conversion.Scope) error {
out.Name = api_v1.ResourceName(in.Name)
out.TargetAverageUtilization = (*int32)(unsafe.Pointer(in.TargetAverageUtilization))
out.TargetAverageValue = (*resource.Quantity)(unsafe.Pointer(in.TargetAverageValue))
return nil
}
// Convert_autoscaling_ResourceMetricSource_To_v1_ResourceMetricSource is an autogenerated conversion function.
func Convert_autoscaling_ResourceMetricSource_To_v1_ResourceMetricSource(in *autoscaling.ResourceMetricSource, out *ResourceMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_ResourceMetricSource_To_v1_ResourceMetricSource(in, out, s)
}
func autoConvert_v1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in *ResourceMetricStatus, out *autoscaling.ResourceMetricStatus, s conversion.Scope) error {
out.Name = api.ResourceName(in.Name)
out.CurrentAverageUtilization = (*int32)(unsafe.Pointer(in.CurrentAverageUtilization))
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_v1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus is an autogenerated conversion function.
func Convert_v1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in *ResourceMetricStatus, out *autoscaling.ResourceMetricStatus, s conversion.Scope) error {
return autoConvert_v1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in, out, s)
}
func autoConvert_autoscaling_ResourceMetricStatus_To_v1_ResourceMetricStatus(in *autoscaling.ResourceMetricStatus, out *ResourceMetricStatus, s conversion.Scope) error {
out.Name = api_v1.ResourceName(in.Name)
out.CurrentAverageUtilization = (*int32)(unsafe.Pointer(in.CurrentAverageUtilization))
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_autoscaling_ResourceMetricStatus_To_v1_ResourceMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_ResourceMetricStatus_To_v1_ResourceMetricStatus(in *autoscaling.ResourceMetricStatus, out *ResourceMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_ResourceMetricStatus_To_v1_ResourceMetricStatus(in, out, s)
}
func autoConvert_v1_Scale_To_autoscaling_Scale(in *Scale, out *autoscaling.Scale, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_v1_ScaleSpec_To_autoscaling_ScaleSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_v1_ScaleStatus_To_autoscaling_ScaleStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
// Convert_v1_Scale_To_autoscaling_Scale is an autogenerated conversion function.
func Convert_v1_Scale_To_autoscaling_Scale(in *Scale, out *autoscaling.Scale, s conversion.Scope) error {
return autoConvert_v1_Scale_To_autoscaling_Scale(in, out, s)
}
func autoConvert_autoscaling_Scale_To_v1_Scale(in *autoscaling.Scale, out *Scale, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_autoscaling_ScaleSpec_To_v1_ScaleSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_autoscaling_ScaleStatus_To_v1_ScaleStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
// Convert_autoscaling_Scale_To_v1_Scale is an autogenerated conversion function.
func Convert_autoscaling_Scale_To_v1_Scale(in *autoscaling.Scale, out *Scale, s conversion.Scope) error {
return autoConvert_autoscaling_Scale_To_v1_Scale(in, out, s)
}
func autoConvert_v1_ScaleSpec_To_autoscaling_ScaleSpec(in *ScaleSpec, out *autoscaling.ScaleSpec, s conversion.Scope) error {
out.Replicas = in.Replicas
return nil
}
// Convert_v1_ScaleSpec_To_autoscaling_ScaleSpec is an autogenerated conversion function.
func Convert_v1_ScaleSpec_To_autoscaling_ScaleSpec(in *ScaleSpec, out *autoscaling.ScaleSpec, s conversion.Scope) error {
return autoConvert_v1_ScaleSpec_To_autoscaling_ScaleSpec(in, out, s)
}
func autoConvert_autoscaling_ScaleSpec_To_v1_ScaleSpec(in *autoscaling.ScaleSpec, out *ScaleSpec, s conversion.Scope) error {
out.Replicas = in.Replicas
return nil
}
// Convert_autoscaling_ScaleSpec_To_v1_ScaleSpec is an autogenerated conversion function.
func Convert_autoscaling_ScaleSpec_To_v1_ScaleSpec(in *autoscaling.ScaleSpec, out *ScaleSpec, s conversion.Scope) error {
return autoConvert_autoscaling_ScaleSpec_To_v1_ScaleSpec(in, out, s)
}
func autoConvert_v1_ScaleStatus_To_autoscaling_ScaleStatus(in *ScaleStatus, out *autoscaling.ScaleStatus, s conversion.Scope) error {
out.Replicas = in.Replicas
out.Selector = in.Selector
return nil
}
// Convert_v1_ScaleStatus_To_autoscaling_ScaleStatus is an autogenerated conversion function.
func Convert_v1_ScaleStatus_To_autoscaling_ScaleStatus(in *ScaleStatus, out *autoscaling.ScaleStatus, s conversion.Scope) error {
return autoConvert_v1_ScaleStatus_To_autoscaling_ScaleStatus(in, out, s)
}
func autoConvert_autoscaling_ScaleStatus_To_v1_ScaleStatus(in *autoscaling.ScaleStatus, out *ScaleStatus, s conversion.Scope) error {
out.Replicas = in.Replicas
out.Selector = in.Selector
return nil
}
// Convert_autoscaling_ScaleStatus_To_v1_ScaleStatus is an autogenerated conversion function.
func Convert_autoscaling_ScaleStatus_To_v1_ScaleStatus(in *autoscaling.ScaleStatus, out *ScaleStatus, s conversion.Scope) error {
return autoConvert_autoscaling_ScaleStatus_To_v1_ScaleStatus(in, out, s)
}

340
vendor/k8s.io/client-go/pkg/apis/autoscaling/v1/zz_generated.deepcopy.go generated vendored Normal file
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@ -0,0 +1,340 @@
// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by deepcopy-gen. Do not edit it manually!
package v1
import (
resource "k8s.io/apimachinery/pkg/api/resource"
meta_v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
reflect "reflect"
)
func init() {
SchemeBuilder.Register(RegisterDeepCopies)
}
// RegisterDeepCopies adds deep-copy functions to the given scheme. Public
// to allow building arbitrary schemes.
func RegisterDeepCopies(scheme *runtime.Scheme) error {
return scheme.AddGeneratedDeepCopyFuncs(
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_CrossVersionObjectReference, InType: reflect.TypeOf(&CrossVersionObjectReference{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_HorizontalPodAutoscaler, InType: reflect.TypeOf(&HorizontalPodAutoscaler{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_HorizontalPodAutoscalerCondition, InType: reflect.TypeOf(&HorizontalPodAutoscalerCondition{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_HorizontalPodAutoscalerList, InType: reflect.TypeOf(&HorizontalPodAutoscalerList{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_HorizontalPodAutoscalerSpec, InType: reflect.TypeOf(&HorizontalPodAutoscalerSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_HorizontalPodAutoscalerStatus, InType: reflect.TypeOf(&HorizontalPodAutoscalerStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_MetricSpec, InType: reflect.TypeOf(&MetricSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_MetricStatus, InType: reflect.TypeOf(&MetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ObjectMetricSource, InType: reflect.TypeOf(&ObjectMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ObjectMetricStatus, InType: reflect.TypeOf(&ObjectMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_PodsMetricSource, InType: reflect.TypeOf(&PodsMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_PodsMetricStatus, InType: reflect.TypeOf(&PodsMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ResourceMetricSource, InType: reflect.TypeOf(&ResourceMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ResourceMetricStatus, InType: reflect.TypeOf(&ResourceMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_Scale, InType: reflect.TypeOf(&Scale{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ScaleSpec, InType: reflect.TypeOf(&ScaleSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v1_ScaleStatus, InType: reflect.TypeOf(&ScaleStatus{})},
)
}
// DeepCopy_v1_CrossVersionObjectReference is an autogenerated deepcopy function.
func DeepCopy_v1_CrossVersionObjectReference(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*CrossVersionObjectReference)
out := out.(*CrossVersionObjectReference)
*out = *in
return nil
}
}
// DeepCopy_v1_HorizontalPodAutoscaler is an autogenerated deepcopy function.
func DeepCopy_v1_HorizontalPodAutoscaler(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscaler)
out := out.(*HorizontalPodAutoscaler)
*out = *in
if newVal, err := c.DeepCopy(&in.ObjectMeta); err != nil {
return err
} else {
out.ObjectMeta = *newVal.(*meta_v1.ObjectMeta)
}
if err := DeepCopy_v1_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, c); err != nil {
return err
}
if err := DeepCopy_v1_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, c); err != nil {
return err
}
return nil
}
}
// DeepCopy_v1_HorizontalPodAutoscalerCondition is an autogenerated deepcopy function.
func DeepCopy_v1_HorizontalPodAutoscalerCondition(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerCondition)
out := out.(*HorizontalPodAutoscalerCondition)
*out = *in
out.LastTransitionTime = in.LastTransitionTime.DeepCopy()
return nil
}
}
// DeepCopy_v1_HorizontalPodAutoscalerList is an autogenerated deepcopy function.
func DeepCopy_v1_HorizontalPodAutoscalerList(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerList)
out := out.(*HorizontalPodAutoscalerList)
*out = *in
if in.Items != nil {
in, out := &in.Items, &out.Items
*out = make([]HorizontalPodAutoscaler, len(*in))
for i := range *in {
if err := DeepCopy_v1_HorizontalPodAutoscaler(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_v1_HorizontalPodAutoscalerSpec is an autogenerated deepcopy function.
func DeepCopy_v1_HorizontalPodAutoscalerSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerSpec)
out := out.(*HorizontalPodAutoscalerSpec)
*out = *in
if in.MinReplicas != nil {
in, out := &in.MinReplicas, &out.MinReplicas
*out = new(int32)
**out = **in
}
if in.TargetCPUUtilizationPercentage != nil {
in, out := &in.TargetCPUUtilizationPercentage, &out.TargetCPUUtilizationPercentage
*out = new(int32)
**out = **in
}
return nil
}
}
// DeepCopy_v1_HorizontalPodAutoscalerStatus is an autogenerated deepcopy function.
func DeepCopy_v1_HorizontalPodAutoscalerStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerStatus)
out := out.(*HorizontalPodAutoscalerStatus)
*out = *in
if in.ObservedGeneration != nil {
in, out := &in.ObservedGeneration, &out.ObservedGeneration
*out = new(int64)
**out = **in
}
if in.LastScaleTime != nil {
in, out := &in.LastScaleTime, &out.LastScaleTime
*out = new(meta_v1.Time)
**out = (*in).DeepCopy()
}
if in.CurrentCPUUtilizationPercentage != nil {
in, out := &in.CurrentCPUUtilizationPercentage, &out.CurrentCPUUtilizationPercentage
*out = new(int32)
**out = **in
}
return nil
}
}
// DeepCopy_v1_MetricSpec is an autogenerated deepcopy function.
func DeepCopy_v1_MetricSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricSpec)
out := out.(*MetricSpec)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricSource)
if err := DeepCopy_v1_ObjectMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricSource)
if err := DeepCopy_v1_PodsMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricSource)
if err := DeepCopy_v1_ResourceMetricSource(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_v1_MetricStatus is an autogenerated deepcopy function.
func DeepCopy_v1_MetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricStatus)
out := out.(*MetricStatus)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricStatus)
if err := DeepCopy_v1_ObjectMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricStatus)
if err := DeepCopy_v1_PodsMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricStatus)
if err := DeepCopy_v1_ResourceMetricStatus(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_v1_ObjectMetricSource is an autogenerated deepcopy function.
func DeepCopy_v1_ObjectMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricSource)
out := out.(*ObjectMetricSource)
*out = *in
out.TargetValue = in.TargetValue.DeepCopy()
return nil
}
}
// DeepCopy_v1_ObjectMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v1_ObjectMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricStatus)
out := out.(*ObjectMetricStatus)
*out = *in
out.CurrentValue = in.CurrentValue.DeepCopy()
return nil
}
}
// DeepCopy_v1_PodsMetricSource is an autogenerated deepcopy function.
func DeepCopy_v1_PodsMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricSource)
out := out.(*PodsMetricSource)
*out = *in
out.TargetAverageValue = in.TargetAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_v1_PodsMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v1_PodsMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricStatus)
out := out.(*PodsMetricStatus)
*out = *in
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_v1_ResourceMetricSource is an autogenerated deepcopy function.
func DeepCopy_v1_ResourceMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricSource)
out := out.(*ResourceMetricSource)
*out = *in
if in.TargetAverageUtilization != nil {
in, out := &in.TargetAverageUtilization, &out.TargetAverageUtilization
*out = new(int32)
**out = **in
}
if in.TargetAverageValue != nil {
in, out := &in.TargetAverageValue, &out.TargetAverageValue
*out = new(resource.Quantity)
**out = (*in).DeepCopy()
}
return nil
}
}
// DeepCopy_v1_ResourceMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v1_ResourceMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricStatus)
out := out.(*ResourceMetricStatus)
*out = *in
if in.CurrentAverageUtilization != nil {
in, out := &in.CurrentAverageUtilization, &out.CurrentAverageUtilization
*out = new(int32)
**out = **in
}
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_v1_Scale is an autogenerated deepcopy function.
func DeepCopy_v1_Scale(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*Scale)
out := out.(*Scale)
*out = *in
if newVal, err := c.DeepCopy(&in.ObjectMeta); err != nil {
return err
} else {
out.ObjectMeta = *newVal.(*meta_v1.ObjectMeta)
}
return nil
}
}
// DeepCopy_v1_ScaleSpec is an autogenerated deepcopy function.
func DeepCopy_v1_ScaleSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ScaleSpec)
out := out.(*ScaleSpec)
*out = *in
return nil
}
}
// DeepCopy_v1_ScaleStatus is an autogenerated deepcopy function.
func DeepCopy_v1_ScaleStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ScaleStatus)
out := out.(*ScaleStatus)
*out = *in
return nil
}
}

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vendor/k8s.io/client-go/pkg/apis/autoscaling/v1/zz_generated.defaults.go generated vendored Normal file
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// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by defaulter-gen. Do not edit it manually!
package v1
import (
runtime "k8s.io/apimachinery/pkg/runtime"
)
// RegisterDefaults adds defaulters functions to the given scheme.
// Public to allow building arbitrary schemes.
// All generated defaulters are covering - they call all nested defaulters.
func RegisterDefaults(scheme *runtime.Scheme) error {
scheme.AddTypeDefaultingFunc(&HorizontalPodAutoscaler{}, func(obj interface{}) { SetObjectDefaults_HorizontalPodAutoscaler(obj.(*HorizontalPodAutoscaler)) })
scheme.AddTypeDefaultingFunc(&HorizontalPodAutoscalerList{}, func(obj interface{}) {
SetObjectDefaults_HorizontalPodAutoscalerList(obj.(*HorizontalPodAutoscalerList))
})
return nil
}
func SetObjectDefaults_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler) {
SetDefaults_HorizontalPodAutoscaler(in)
}
func SetObjectDefaults_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList) {
for i := range in.Items {
a := &in.Items[i]
SetObjectDefaults_HorizontalPodAutoscaler(a)
}
}

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/*
Copyright 2016 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 v2alpha1
import (
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/client-go/pkg/api/v1"
"k8s.io/client-go/pkg/apis/autoscaling"
)
func addDefaultingFuncs(scheme *runtime.Scheme) error {
return RegisterDefaults(scheme)
}
func SetDefaults_HorizontalPodAutoscaler(obj *HorizontalPodAutoscaler) {
if obj.Spec.MinReplicas == nil {
minReplicas := int32(1)
obj.Spec.MinReplicas = &minReplicas
}
if len(obj.Spec.Metrics) == 0 {
utilizationDefaultVal := int32(autoscaling.DefaultCPUUtilization)
obj.Spec.Metrics = []MetricSpec{
{
Type: ResourceMetricSourceType,
Resource: &ResourceMetricSource{
Name: v1.ResourceCPU,
TargetAverageUtilization: &utilizationDefaultVal,
},
},
}
}
}

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/*
Copyright 2016 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 v2alpha1

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/*
Copyright 2017 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.
*/
// This file was autogenerated by go-to-protobuf. Do not edit it manually!
syntax = 'proto2';
package k8s.io.client_go.pkg.apis.autoscaling.v2alpha1;
import "k8s.io/apimachinery/pkg/api/resource/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";
import "k8s.io/apimachinery/pkg/util/intstr/generated.proto";
import "k8s.io/kubernetes/pkg/api/v1/generated.proto";
import "k8s.io/kubernetes/pkg/apis/autoscaling/v1/generated.proto";
// Package-wide variables from generator "generated".
option go_package = "v2alpha1";
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
message CrossVersionObjectReference {
// Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds"
optional string kind = 1;
// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
optional string name = 2;
// API version of the referent
// +optional
optional string apiVersion = 3;
}
// HorizontalPodAutoscaler is the configuration for a horizontal pod
// autoscaler, which automatically manages the replica count of any resource
// implementing the scale subresource based on the metrics specified.
message HorizontalPodAutoscaler {
// metadata is the standard object metadata.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;
// spec is the specification for the behaviour of the autoscaler.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
optional HorizontalPodAutoscalerSpec spec = 2;
// status is the current information about the autoscaler.
// +optional
optional HorizontalPodAutoscalerStatus status = 3;
}
// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
message HorizontalPodAutoscalerCondition {
// type describes the current condition
optional string type = 1;
// status is the status of the condition (True, False, Unknown)
optional string status = 2;
// lastTransitionTime is the last time the condition transitioned from
// one status to another
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 3;
// reason is the reason for the condition's last transition.
// +optional
optional string reason = 4;
// message is a human-readable explanation containing details about
// the transition
// +optional
optional string message = 5;
}
// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
// metadata is the standard list metadata.
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;
// items is the list of horizontal pod autoscaler objects.
repeated HorizontalPodAutoscaler items = 2;
}
// HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
message HorizontalPodAutoscalerSpec {
// scaleTargetRef points to the target resource to scale, and is used to the pods for which metrics
// should be collected, as well as to actually change the replica count.
optional CrossVersionObjectReference scaleTargetRef = 1;
// minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.
// It defaults to 1 pod.
// +optional
optional int32 minReplicas = 2;
// maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.
// It cannot be less that minReplicas.
optional int32 maxReplicas = 3;
// metrics contains the specifications for which to use to calculate the
// desired replica count (the maximum replica count across all metrics will
// be used). The desired replica count is calculated multiplying the
// ratio between the target value and the current value by the current
// number of pods. Ergo, metrics used must decrease as the pod count is
// increased, and vice-versa. See the individual metric source types for
// more information about how each type of metric must respond.
// +optional
repeated MetricSpec metrics = 4;
}
// HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
message HorizontalPodAutoscalerStatus {
// observedGeneration is the most recent generation observed by this autoscaler.
// +optional
optional int64 observedGeneration = 1;
// lastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods,
// used by the autoscaler to control how often the number of pods is changed.
// +optional
optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastScaleTime = 2;
// currentReplicas is current number of replicas of pods managed by this autoscaler,
// as last seen by the autoscaler.
optional int32 currentReplicas = 3;
// desiredReplicas is the desired number of replicas of pods managed by this autoscaler,
// as last calculated by the autoscaler.
optional int32 desiredReplicas = 4;
// currentMetrics is the last read state of the metrics used by this autoscaler.
repeated MetricStatus currentMetrics = 5;
// conditions is the set of conditions required for this autoscaler to scale its target,
// and indicates whether or not those conditions are met.
repeated HorizontalPodAutoscalerCondition conditions = 6;
}
// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
message MetricSpec {
// type is the type of metric source. It should match one of the fields below.
optional string type = 1;
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
optional ObjectMetricSource object = 2;
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
optional PodsMetricSource pods = 3;
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
optional ResourceMetricSource resource = 4;
}
// MetricStatus describes the last-read state of a single metric.
message MetricStatus {
// type is the type of metric source. It will match one of the fields below.
optional string type = 1;
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
optional ObjectMetricStatus object = 2;
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
optional PodsMetricStatus pods = 3;
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
optional ResourceMetricStatus resource = 4;
}
// ObjectMetricSource indicates how to scale on a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
message ObjectMetricSource {
// target is the described Kubernetes object.
optional CrossVersionObjectReference target = 1;
// metricName is the name of the metric in question.
optional string metricName = 2;
// targetValue is the target value of the metric (as a quantity).
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetValue = 3;
}
// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
message ObjectMetricStatus {
// target is the described Kubernetes object.
optional CrossVersionObjectReference target = 1;
// metricName is the name of the metric in question.
optional string metricName = 2;
// currentValue is the current value of the metric (as a quantity).
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentValue = 3;
}
// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target
// value.
message PodsMetricSource {
// metricName is the name of the metric in question
optional string metricName = 1;
// targetAverageValue is the target value of the average of the
// metric across all relevant pods (as a quantity)
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 2;
}
// PodsMetricStatus indicates the current value of a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
message PodsMetricStatus {
// metricName is the name of the metric in question
optional string metricName = 1;
// currentAverageValue is the current value of the average of the
// metric across all relevant pods (as a quantity)
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentAverageValue = 2;
}
// ResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). The values will be averaged
// together before being compared to the target. Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
message ResourceMetricSource {
// name is the name of the resource in question.
optional string name = 1;
// targetAverageUtilization is the target value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods.
// +optional
optional int32 targetAverageUtilization = 2;
// targetAverageValue is the target value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// +optional
optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 3;
}
// ResourceMetricStatus indicates the current value of a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.
message ResourceMetricStatus {
// name is the name of the resource in question.
optional string name = 1;
// currentAverageUtilization is the current value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods. It will only be
// present if `targetAverageValue` was set in the corresponding metric
// specification.
// +optional
optional int32 currentAverageUtilization = 2;
// currentAverageValue is the current value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// It will always be set, regardless of the corresponding metric specification.
optional k8s.io.apimachinery.pkg.api.resource.Quantity currentAverageValue = 3;
}

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/*
Copyright 2016 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 v2alpha1
import (
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/apimachinery/pkg/runtime/schema"
)
// GroupName is the group name use in this package
const GroupName = "autoscaling"
// SchemeGroupVersion is group version used to register these objects
var SchemeGroupVersion = schema.GroupVersion{Group: GroupName, Version: "v2alpha1"}
// Resource takes an unqualified resource and returns a Group qualified GroupResource
func Resource(resource string) schema.GroupResource {
return SchemeGroupVersion.WithResource(resource).GroupResource()
}
var (
// TODO: move SchemeBuilder with zz_generated.deepcopy.go to k8s.io/api.
// localSchemeBuilder and AddToScheme will stay in k8s.io/kubernetes.
SchemeBuilder runtime.SchemeBuilder
localSchemeBuilder = &SchemeBuilder
AddToScheme = localSchemeBuilder.AddToScheme
)
func init() {
// We only register manually written functions here. The registration of the
// generated functions takes place in the generated files. The separation
// makes the code compile even when the generated files are missing.
localSchemeBuilder.Register(addKnownTypes, addDefaultingFuncs)
}
// Adds the list of known types to api.Scheme.
func addKnownTypes(scheme *runtime.Scheme) error {
scheme.AddKnownTypes(SchemeGroupVersion,
&HorizontalPodAutoscaler{},
&HorizontalPodAutoscalerList{},
)
metav1.AddToGroupVersion(scheme, SchemeGroupVersion)
return nil
}

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/*
Copyright 2016 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 v2alpha1
import (
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/client-go/pkg/api/v1"
)
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
type CrossVersionObjectReference struct {
// Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds"
Kind string `json:"kind" protobuf:"bytes,1,opt,name=kind"`
// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
Name string `json:"name" protobuf:"bytes,2,opt,name=name"`
// API version of the referent
// +optional
APIVersion string `json:"apiVersion,omitempty" protobuf:"bytes,3,opt,name=apiVersion"`
}
// HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
type HorizontalPodAutoscalerSpec struct {
// scaleTargetRef points to the target resource to scale, and is used to the pods for which metrics
// should be collected, as well as to actually change the replica count.
ScaleTargetRef CrossVersionObjectReference `json:"scaleTargetRef" protobuf:"bytes,1,opt,name=scaleTargetRef"`
// minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.
// It defaults to 1 pod.
// +optional
MinReplicas *int32 `json:"minReplicas,omitempty" protobuf:"varint,2,opt,name=minReplicas"`
// maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.
// It cannot be less that minReplicas.
MaxReplicas int32 `json:"maxReplicas" protobuf:"varint,3,opt,name=maxReplicas"`
// metrics contains the specifications for which to use to calculate the
// desired replica count (the maximum replica count across all metrics will
// be used). The desired replica count is calculated multiplying the
// ratio between the target value and the current value by the current
// number of pods. Ergo, metrics used must decrease as the pod count is
// increased, and vice-versa. See the individual metric source types for
// more information about how each type of metric must respond.
// +optional
Metrics []MetricSpec `json:"metrics,omitempty" protobuf:"bytes,4,rep,name=metrics"`
}
// MetricSourceType indicates the type of metric.
type MetricSourceType string
var (
// ObjectMetricSourceType is a metric describing a kubernetes object
// (for example, hits-per-second on an Ingress object).
ObjectMetricSourceType MetricSourceType = "Object"
// PodsMetricSourceType is a metric describing each pod in the current scale
// target (for example, transactions-processed-per-second). The values
// will be averaged together before being compared to the target value.
PodsMetricSourceType MetricSourceType = "Pods"
// ResourceMetricSourceType is a resource metric known to Kubernetes, as
// specified in requests and limits, describing each pod in the current
// scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics (the "pods" source).
ResourceMetricSourceType MetricSourceType = "Resource"
)
// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
// type is the type of metric source. It should match one of the fields below.
Type MetricSourceType `json:"type" protobuf:"bytes,1,name=type"`
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricSource `json:"object,omitempty" protobuf:"bytes,2,opt,name=object"`
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricSource `json:"pods,omitempty" protobuf:"bytes,3,opt,name=pods"`
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricSource `json:"resource,omitempty" protobuf:"bytes,4,opt,name=resource"`
}
// ObjectMetricSource indicates how to scale on a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricSource struct {
// target is the described Kubernetes object.
Target CrossVersionObjectReference `json:"target" protobuf:"bytes,1,name=target"`
// metricName is the name of the metric in question.
MetricName string `json:"metricName" protobuf:"bytes,2,name=metricName"`
// targetValue is the target value of the metric (as a quantity).
TargetValue resource.Quantity `json:"targetValue" protobuf:"bytes,3,name=targetValue"`
}
// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target
// value.
type PodsMetricSource struct {
// metricName is the name of the metric in question
MetricName string `json:"metricName" protobuf:"bytes,1,name=metricName"`
// targetAverageValue is the target value of the average of the
// metric across all relevant pods (as a quantity)
TargetAverageValue resource.Quantity `json:"targetAverageValue" protobuf:"bytes,2,name=targetAverageValue"`
}
// ResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). The values will be averaged
// together before being compared to the target. Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
type ResourceMetricSource struct {
// name is the name of the resource in question.
Name v1.ResourceName `json:"name" protobuf:"bytes,1,name=name"`
// targetAverageUtilization is the target value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods.
// +optional
TargetAverageUtilization *int32 `json:"targetAverageUtilization,omitempty" protobuf:"varint,2,opt,name=targetAverageUtilization"`
// targetAverageValue is the target value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// +optional
TargetAverageValue *resource.Quantity `json:"targetAverageValue,omitempty" protobuf:"bytes,3,opt,name=targetAverageValue"`
}
// HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
type HorizontalPodAutoscalerStatus struct {
// observedGeneration is the most recent generation observed by this autoscaler.
// +optional
ObservedGeneration *int64 `json:"observedGeneration,omitempty" protobuf:"varint,1,opt,name=observedGeneration"`
// lastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods,
// used by the autoscaler to control how often the number of pods is changed.
// +optional
LastScaleTime *metav1.Time `json:"lastScaleTime,omitempty" protobuf:"bytes,2,opt,name=lastScaleTime"`
// currentReplicas is current number of replicas of pods managed by this autoscaler,
// as last seen by the autoscaler.
CurrentReplicas int32 `json:"currentReplicas" protobuf:"varint,3,opt,name=currentReplicas"`
// desiredReplicas is the desired number of replicas of pods managed by this autoscaler,
// as last calculated by the autoscaler.
DesiredReplicas int32 `json:"desiredReplicas" protobuf:"varint,4,opt,name=desiredReplicas"`
// currentMetrics is the last read state of the metrics used by this autoscaler.
CurrentMetrics []MetricStatus `json:"currentMetrics" protobuf:"bytes,5,rep,name=currentMetrics"`
// conditions is the set of conditions required for this autoscaler to scale its target,
// and indicates whether or not those conditions are met.
Conditions []HorizontalPodAutoscalerCondition `json:"conditions" protobuf:"bytes,6,rep,name=conditions"`
}
// HorizontalPodAutoscalerConditionType are the valid conditions of
// a HorizontalPodAutoscaler.
type HorizontalPodAutoscalerConditionType string
var (
// ScalingActive indicates that the HPA controller is able to scale if necessary:
// it's correctly configured, can fetch the desired metrics, and isn't disabled.
ScalingActive HorizontalPodAutoscalerConditionType = "ScalingActive"
// AbleToScale indicates a lack of transient issues which prevent scaling from occuring,
// such as being in a backoff window, or being unable to access/update the target scale.
AbleToScale HorizontalPodAutoscalerConditionType = "AbleToScale"
// ScalingLimited indicates that the calculated scale based on metrics would be above or
// below the range for the HPA, and has thus been capped.
ScalingLimited HorizontalPodAutoscalerConditionType = "ScalingLimited"
)
// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
type HorizontalPodAutoscalerCondition struct {
// type describes the current condition
Type HorizontalPodAutoscalerConditionType `json:"type" protobuf:"bytes,1,name=type"`
// status is the status of the condition (True, False, Unknown)
Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,name=status"`
// lastTransitionTime is the last time the condition transitioned from
// one status to another
// +optional
LastTransitionTime metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,3,opt,name=lastTransitionTime"`
// reason is the reason for the condition's last transition.
// +optional
Reason string `json:"reason,omitempty" protobuf:"bytes,4,opt,name=reason"`
// message is a human-readable explanation containing details about
// the transition
// +optional
Message string `json:"message,omitempty" protobuf:"bytes,5,opt,name=message"`
}
// MetricStatus describes the last-read state of a single metric.
type MetricStatus struct {
// type is the type of metric source. It will match one of the fields below.
Type MetricSourceType `json:"type" protobuf:"bytes,1,name=type"`
// object refers to a metric describing a single kubernetes object
// (for example, hits-per-second on an Ingress object).
// +optional
Object *ObjectMetricStatus `json:"object,omitempty" protobuf:"bytes,2,opt,name=object"`
// pods refers to a metric describing each pod in the current scale target
// (for example, transactions-processed-per-second). The values will be
// averaged together before being compared to the target value.
// +optional
Pods *PodsMetricStatus `json:"pods,omitempty" protobuf:"bytes,3,opt,name=pods"`
// resource refers to a resource metric (such as those specified in
// requests and limits) known to Kubernetes describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available
// to normal per-pod metrics using the "pods" source.
// +optional
Resource *ResourceMetricStatus `json:"resource,omitempty" protobuf:"bytes,4,opt,name=resource"`
}
// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
type ObjectMetricStatus struct {
// target is the described Kubernetes object.
Target CrossVersionObjectReference `json:"target" protobuf:"bytes,1,name=target"`
// metricName is the name of the metric in question.
MetricName string `json:"metricName" protobuf:"bytes,2,name=metricName"`
// currentValue is the current value of the metric (as a quantity).
CurrentValue resource.Quantity `json:"currentValue" protobuf:"bytes,3,name=currentValue"`
}
// PodsMetricStatus indicates the current value of a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
type PodsMetricStatus struct {
// metricName is the name of the metric in question
MetricName string `json:"metricName" protobuf:"bytes,1,name=metricName"`
// currentAverageValue is the current value of the average of the
// metric across all relevant pods (as a quantity)
CurrentAverageValue resource.Quantity `json:"currentAverageValue" protobuf:"bytes,2,name=currentAverageValue"`
}
// ResourceMetricStatus indicates the current value of a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory). Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.
type ResourceMetricStatus struct {
// name is the name of the resource in question.
Name v1.ResourceName `json:"name" protobuf:"bytes,1,name=name"`
// currentAverageUtilization is the current value of the average of the
// resource metric across all relevant pods, represented as a percentage of
// the requested value of the resource for the pods. It will only be
// present if `targetAverageValue` was set in the corresponding metric
// specification.
// +optional
CurrentAverageUtilization *int32 `json:"currentAverageUtilization,omitempty" protobuf:"bytes,2,opt,name=currentAverageUtilization"`
// currentAverageValue is the current value of the average of the
// resource metric across all relevant pods, as a raw value (instead of as
// a percentage of the request), similar to the "pods" metric source type.
// It will always be set, regardless of the corresponding metric specification.
CurrentAverageValue resource.Quantity `json:"currentAverageValue" protobuf:"bytes,3,name=currentAverageValue"`
}
// +genclient=true
// HorizontalPodAutoscaler is the configuration for a horizontal pod
// autoscaler, which automatically manages the replica count of any resource
// implementing the scale subresource based on the metrics specified.
type HorizontalPodAutoscaler struct {
metav1.TypeMeta `json:",inline"`
// metadata is the standard object metadata.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
// +optional
metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
// spec is the specification for the behaviour of the autoscaler.
// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
// +optional
Spec HorizontalPodAutoscalerSpec `json:"spec,omitempty" protobuf:"bytes,2,opt,name=spec"`
// status is the current information about the autoscaler.
// +optional
Status HorizontalPodAutoscalerStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}
// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.
type HorizontalPodAutoscalerList struct {
metav1.TypeMeta `json:",inline"`
// metadata is the standard list metadata.
// +optional
metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
// items is the list of horizontal pod autoscaler objects.
Items []HorizontalPodAutoscaler `json:"items" protobuf:"bytes,2,rep,name=items"`
}

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/*
Copyright 2016 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 v2alpha1
// This file contains a collection of methods that can be used from go-restful to
// generate Swagger API documentation for its models. Please read this PR for more
// information on the implementation: https://github.com/emicklei/go-restful/pull/215
//
// TODOs are ignored from the parser (e.g. TODO(andronat):... || TODO:...) if and only if
// they are on one line! For multiple line or blocks that you want to ignore use ---.
// Any context after a --- is ignored.
//
// Those methods can be generated by using hack/update-generated-swagger-docs.sh
// AUTO-GENERATED FUNCTIONS START HERE
var map_CrossVersionObjectReference = map[string]string{
"": "CrossVersionObjectReference contains enough information to let you identify the referred resource.",
"kind": "Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds\"",
"name": "Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names",
"apiVersion": "API version of the referent",
}
func (CrossVersionObjectReference) SwaggerDoc() map[string]string {
return map_CrossVersionObjectReference
}
var map_HorizontalPodAutoscaler = map[string]string{
"": "HorizontalPodAutoscaler is the configuration for a horizontal pod autoscaler, which automatically manages the replica count of any resource implementing the scale subresource based on the metrics specified.",
"metadata": "metadata is the standard object metadata. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata",
"spec": "spec is the specification for the behaviour of the autoscaler. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.",
"status": "status is the current information about the autoscaler.",
}
func (HorizontalPodAutoscaler) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscaler
}
var map_HorizontalPodAutoscalerCondition = map[string]string{
"": "HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.",
"type": "type describes the current condition",
"status": "status is the status of the condition (True, False, Unknown)",
"lastTransitionTime": "lastTransitionTime is the last time the condition transitioned from one status to another",
"reason": "reason is the reason for the condition's last transition.",
"message": "message is a human-readable explanation containing details about the transition",
}
func (HorizontalPodAutoscalerCondition) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerCondition
}
var map_HorizontalPodAutoscalerList = map[string]string{
"": "HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.",
"metadata": "metadata is the standard list metadata.",
"items": "items is the list of horizontal pod autoscaler objects.",
}
func (HorizontalPodAutoscalerList) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerList
}
var map_HorizontalPodAutoscalerSpec = map[string]string{
"": "HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.",
"scaleTargetRef": "scaleTargetRef points to the target resource to scale, and is used to the pods for which metrics should be collected, as well as to actually change the replica count.",
"minReplicas": "minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod.",
"maxReplicas": "maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.",
"metrics": "metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond.",
}
func (HorizontalPodAutoscalerSpec) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerSpec
}
var map_HorizontalPodAutoscalerStatus = map[string]string{
"": "HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.",
"observedGeneration": "observedGeneration is the most recent generation observed by this autoscaler.",
"lastScaleTime": "lastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods, used by the autoscaler to control how often the number of pods is changed.",
"currentReplicas": "currentReplicas is current number of replicas of pods managed by this autoscaler, as last seen by the autoscaler.",
"desiredReplicas": "desiredReplicas is the desired number of replicas of pods managed by this autoscaler, as last calculated by the autoscaler.",
"currentMetrics": "currentMetrics is the last read state of the metrics used by this autoscaler.",
"conditions": "conditions is the set of conditions required for this autoscaler to scale its target, and indicates whether or not those conditions are met.",
}
func (HorizontalPodAutoscalerStatus) SwaggerDoc() map[string]string {
return map_HorizontalPodAutoscalerStatus
}
var map_MetricSpec = map[string]string{
"": "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",
"type": "type is the type of metric source. It should match one of the fields below.",
"object": "object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods": "pods refers to a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"resource": "resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
}
func (MetricSpec) SwaggerDoc() map[string]string {
return map_MetricSpec
}
var map_MetricStatus = map[string]string{
"": "MetricStatus describes the last-read state of a single metric.",
"type": "type is the type of metric source. It will match one of the fields below.",
"object": "object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods": "pods refers to a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"resource": "resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
}
func (MetricStatus) SwaggerDoc() map[string]string {
return map_MetricStatus
}
var map_ObjectMetricSource = map[string]string{
"": "ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).",
"target": "target is the described Kubernetes object.",
"metricName": "metricName is the name of the metric in question.",
"targetValue": "targetValue is the target value of the metric (as a quantity).",
}
func (ObjectMetricSource) SwaggerDoc() map[string]string {
return map_ObjectMetricSource
}
var map_ObjectMetricStatus = map[string]string{
"": "ObjectMetricStatus indicates the current value of a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).",
"target": "target is the described Kubernetes object.",
"metricName": "metricName is the name of the metric in question.",
"currentValue": "currentValue is the current value of the metric (as a quantity).",
}
func (ObjectMetricStatus) SwaggerDoc() map[string]string {
return map_ObjectMetricStatus
}
var map_PodsMetricSource = map[string]string{
"": "PodsMetricSource indicates how to scale on a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.",
"metricName": "metricName is the name of the metric in question",
"targetAverageValue": "targetAverageValue is the target value of the average of the metric across all relevant pods (as a quantity)",
}
func (PodsMetricSource) SwaggerDoc() map[string]string {
return map_PodsMetricSource
}
var map_PodsMetricStatus = map[string]string{
"": "PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).",
"metricName": "metricName is the name of the metric in question",
"currentAverageValue": "currentAverageValue is the current value of the average of the metric across all relevant pods (as a quantity)",
}
func (PodsMetricStatus) SwaggerDoc() map[string]string {
return map_PodsMetricStatus
}
var map_ResourceMetricSource = map[string]string{
"": "ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source. Only one \"target\" type should be set.",
"name": "name is the name of the resource in question.",
"targetAverageUtilization": "targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.",
"targetAverageValue": "targetAverageValue is the target value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type.",
}
func (ResourceMetricSource) SwaggerDoc() map[string]string {
return map_ResourceMetricSource
}
var map_ResourceMetricStatus = map[string]string{
"": "ResourceMetricStatus indicates the current value of a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the \"pods\" source.",
"name": "name is the name of the resource in question.",
"currentAverageUtilization": "currentAverageUtilization is the current value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods. It will only be present if `targetAverageValue` was set in the corresponding metric specification.",
"currentAverageValue": "currentAverageValue is the current value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type. It will always be set, regardless of the corresponding metric specification.",
}
func (ResourceMetricStatus) SwaggerDoc() map[string]string {
return map_ResourceMetricStatus
}
// AUTO-GENERATED FUNCTIONS END HERE

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// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by conversion-gen. Do not edit it manually!
package v2alpha1
import (
resource "k8s.io/apimachinery/pkg/api/resource"
meta_v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
api "k8s.io/client-go/pkg/api"
v1 "k8s.io/client-go/pkg/api/v1"
autoscaling "k8s.io/client-go/pkg/apis/autoscaling"
unsafe "unsafe"
)
func init() {
SchemeBuilder.Register(RegisterConversions)
}
// RegisterConversions adds conversion functions to the given scheme.
// Public to allow building arbitrary schemes.
func RegisterConversions(scheme *runtime.Scheme) error {
return scheme.AddGeneratedConversionFuncs(
Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference,
Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference,
Convert_v2alpha1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler,
Convert_autoscaling_HorizontalPodAutoscaler_To_v2alpha1_HorizontalPodAutoscaler,
Convert_v2alpha1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition,
Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v2alpha1_HorizontalPodAutoscalerCondition,
Convert_v2alpha1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList,
Convert_autoscaling_HorizontalPodAutoscalerList_To_v2alpha1_HorizontalPodAutoscalerList,
Convert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec,
Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec,
Convert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus,
Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus,
Convert_v2alpha1_MetricSpec_To_autoscaling_MetricSpec,
Convert_autoscaling_MetricSpec_To_v2alpha1_MetricSpec,
Convert_v2alpha1_MetricStatus_To_autoscaling_MetricStatus,
Convert_autoscaling_MetricStatus_To_v2alpha1_MetricStatus,
Convert_v2alpha1_ObjectMetricSource_To_autoscaling_ObjectMetricSource,
Convert_autoscaling_ObjectMetricSource_To_v2alpha1_ObjectMetricSource,
Convert_v2alpha1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus,
Convert_autoscaling_ObjectMetricStatus_To_v2alpha1_ObjectMetricStatus,
Convert_v2alpha1_PodsMetricSource_To_autoscaling_PodsMetricSource,
Convert_autoscaling_PodsMetricSource_To_v2alpha1_PodsMetricSource,
Convert_v2alpha1_PodsMetricStatus_To_autoscaling_PodsMetricStatus,
Convert_autoscaling_PodsMetricStatus_To_v2alpha1_PodsMetricStatus,
Convert_v2alpha1_ResourceMetricSource_To_autoscaling_ResourceMetricSource,
Convert_autoscaling_ResourceMetricSource_To_v2alpha1_ResourceMetricSource,
Convert_v2alpha1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus,
Convert_autoscaling_ResourceMetricStatus_To_v2alpha1_ResourceMetricStatus,
)
}
func autoConvert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in *CrossVersionObjectReference, out *autoscaling.CrossVersionObjectReference, s conversion.Scope) error {
out.Kind = in.Kind
out.Name = in.Name
out.APIVersion = in.APIVersion
return nil
}
// Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference is an autogenerated conversion function.
func Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in *CrossVersionObjectReference, out *autoscaling.CrossVersionObjectReference, s conversion.Scope) error {
return autoConvert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(in, out, s)
}
func autoConvert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(in *autoscaling.CrossVersionObjectReference, out *CrossVersionObjectReference, s conversion.Scope) error {
out.Kind = in.Kind
out.Name = in.Name
out.APIVersion = in.APIVersion
return nil
}
// Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference is an autogenerated conversion function.
func Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(in *autoscaling.CrossVersionObjectReference, out *CrossVersionObjectReference, s conversion.Scope) error {
return autoConvert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(in, out, s)
}
func autoConvert_v2alpha1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler, out *autoscaling.HorizontalPodAutoscaler, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
// Convert_v2alpha1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler is an autogenerated conversion function.
func Convert_v2alpha1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler, out *autoscaling.HorizontalPodAutoscaler, s conversion.Scope) error {
return autoConvert_v2alpha1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscaler_To_v2alpha1_HorizontalPodAutoscaler(in *autoscaling.HorizontalPodAutoscaler, out *HorizontalPodAutoscaler, s conversion.Scope) error {
out.ObjectMeta = in.ObjectMeta
if err := Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, s); err != nil {
return err
}
if err := Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, s); err != nil {
return err
}
return nil
}
// Convert_autoscaling_HorizontalPodAutoscaler_To_v2alpha1_HorizontalPodAutoscaler is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscaler_To_v2alpha1_HorizontalPodAutoscaler(in *autoscaling.HorizontalPodAutoscaler, out *HorizontalPodAutoscaler, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscaler_To_v2alpha1_HorizontalPodAutoscaler(in, out, s)
}
func autoConvert_v2alpha1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in *HorizontalPodAutoscalerCondition, out *autoscaling.HorizontalPodAutoscalerCondition, s conversion.Scope) error {
out.Type = autoscaling.HorizontalPodAutoscalerConditionType(in.Type)
out.Status = autoscaling.ConditionStatus(in.Status)
out.LastTransitionTime = in.LastTransitionTime
out.Reason = in.Reason
out.Message = in.Message
return nil
}
// Convert_v2alpha1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition is an autogenerated conversion function.
func Convert_v2alpha1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in *HorizontalPodAutoscalerCondition, out *autoscaling.HorizontalPodAutoscalerCondition, s conversion.Scope) error {
return autoConvert_v2alpha1_HorizontalPodAutoscalerCondition_To_autoscaling_HorizontalPodAutoscalerCondition(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerCondition_To_v2alpha1_HorizontalPodAutoscalerCondition(in *autoscaling.HorizontalPodAutoscalerCondition, out *HorizontalPodAutoscalerCondition, s conversion.Scope) error {
out.Type = HorizontalPodAutoscalerConditionType(in.Type)
out.Status = v1.ConditionStatus(in.Status)
out.LastTransitionTime = in.LastTransitionTime
out.Reason = in.Reason
out.Message = in.Message
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v2alpha1_HorizontalPodAutoscalerCondition is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerCondition_To_v2alpha1_HorizontalPodAutoscalerCondition(in *autoscaling.HorizontalPodAutoscalerCondition, out *HorizontalPodAutoscalerCondition, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerCondition_To_v2alpha1_HorizontalPodAutoscalerCondition(in, out, s)
}
func autoConvert_v2alpha1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList, out *autoscaling.HorizontalPodAutoscalerList, s conversion.Scope) error {
out.ListMeta = in.ListMeta
out.Items = *(*[]autoscaling.HorizontalPodAutoscaler)(unsafe.Pointer(&in.Items))
return nil
}
// Convert_v2alpha1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList is an autogenerated conversion function.
func Convert_v2alpha1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList, out *autoscaling.HorizontalPodAutoscalerList, s conversion.Scope) error {
return autoConvert_v2alpha1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscalerList(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerList_To_v2alpha1_HorizontalPodAutoscalerList(in *autoscaling.HorizontalPodAutoscalerList, out *HorizontalPodAutoscalerList, s conversion.Scope) error {
out.ListMeta = in.ListMeta
if in.Items == nil {
out.Items = make([]HorizontalPodAutoscaler, 0)
} else {
out.Items = *(*[]HorizontalPodAutoscaler)(unsafe.Pointer(&in.Items))
}
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerList_To_v2alpha1_HorizontalPodAutoscalerList is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerList_To_v2alpha1_HorizontalPodAutoscalerList(in *autoscaling.HorizontalPodAutoscalerList, out *HorizontalPodAutoscalerList, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerList_To_v2alpha1_HorizontalPodAutoscalerList(in, out, s)
}
func autoConvert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in *HorizontalPodAutoscalerSpec, out *autoscaling.HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = (*int32)(unsafe.Pointer(in.MinReplicas))
out.MaxReplicas = in.MaxReplicas
out.Metrics = *(*[]autoscaling.MetricSpec)(unsafe.Pointer(&in.Metrics))
return nil
}
// Convert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec is an autogenerated conversion function.
func Convert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in *HorizontalPodAutoscalerSpec, out *autoscaling.HorizontalPodAutoscalerSpec, s conversion.Scope) error {
return autoConvert_v2alpha1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec(in *autoscaling.HorizontalPodAutoscalerSpec, out *HorizontalPodAutoscalerSpec, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(&in.ScaleTargetRef, &out.ScaleTargetRef, s); err != nil {
return err
}
out.MinReplicas = (*int32)(unsafe.Pointer(in.MinReplicas))
out.MaxReplicas = in.MaxReplicas
out.Metrics = *(*[]MetricSpec)(unsafe.Pointer(&in.Metrics))
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec(in *autoscaling.HorizontalPodAutoscalerSpec, out *HorizontalPodAutoscalerSpec, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerSpec_To_v2alpha1_HorizontalPodAutoscalerSpec(in, out, s)
}
func autoConvert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in *HorizontalPodAutoscalerStatus, out *autoscaling.HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = (*int64)(unsafe.Pointer(in.ObservedGeneration))
out.LastScaleTime = (*meta_v1.Time)(unsafe.Pointer(in.LastScaleTime))
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
out.CurrentMetrics = *(*[]autoscaling.MetricStatus)(unsafe.Pointer(&in.CurrentMetrics))
out.Conditions = *(*[]autoscaling.HorizontalPodAutoscalerCondition)(unsafe.Pointer(&in.Conditions))
return nil
}
// Convert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus is an autogenerated conversion function.
func Convert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in *HorizontalPodAutoscalerStatus, out *autoscaling.HorizontalPodAutoscalerStatus, s conversion.Scope) error {
return autoConvert_v2alpha1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in, out, s)
}
func autoConvert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus(in *autoscaling.HorizontalPodAutoscalerStatus, out *HorizontalPodAutoscalerStatus, s conversion.Scope) error {
out.ObservedGeneration = (*int64)(unsafe.Pointer(in.ObservedGeneration))
out.LastScaleTime = (*meta_v1.Time)(unsafe.Pointer(in.LastScaleTime))
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
if in.CurrentMetrics == nil {
out.CurrentMetrics = make([]MetricStatus, 0)
} else {
out.CurrentMetrics = *(*[]MetricStatus)(unsafe.Pointer(&in.CurrentMetrics))
}
if in.Conditions == nil {
out.Conditions = make([]HorizontalPodAutoscalerCondition, 0)
} else {
out.Conditions = *(*[]HorizontalPodAutoscalerCondition)(unsafe.Pointer(&in.Conditions))
}
return nil
}
// Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus is an autogenerated conversion function.
func Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus(in *autoscaling.HorizontalPodAutoscalerStatus, out *HorizontalPodAutoscalerStatus, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerStatus_To_v2alpha1_HorizontalPodAutoscalerStatus(in, out, s)
}
func autoConvert_v2alpha1_MetricSpec_To_autoscaling_MetricSpec(in *MetricSpec, out *autoscaling.MetricSpec, s conversion.Scope) error {
out.Type = autoscaling.MetricSourceType(in.Type)
out.Object = (*autoscaling.ObjectMetricSource)(unsafe.Pointer(in.Object))
out.Pods = (*autoscaling.PodsMetricSource)(unsafe.Pointer(in.Pods))
out.Resource = (*autoscaling.ResourceMetricSource)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_v2alpha1_MetricSpec_To_autoscaling_MetricSpec is an autogenerated conversion function.
func Convert_v2alpha1_MetricSpec_To_autoscaling_MetricSpec(in *MetricSpec, out *autoscaling.MetricSpec, s conversion.Scope) error {
return autoConvert_v2alpha1_MetricSpec_To_autoscaling_MetricSpec(in, out, s)
}
func autoConvert_autoscaling_MetricSpec_To_v2alpha1_MetricSpec(in *autoscaling.MetricSpec, out *MetricSpec, s conversion.Scope) error {
out.Type = MetricSourceType(in.Type)
out.Object = (*ObjectMetricSource)(unsafe.Pointer(in.Object))
out.Pods = (*PodsMetricSource)(unsafe.Pointer(in.Pods))
out.Resource = (*ResourceMetricSource)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_autoscaling_MetricSpec_To_v2alpha1_MetricSpec is an autogenerated conversion function.
func Convert_autoscaling_MetricSpec_To_v2alpha1_MetricSpec(in *autoscaling.MetricSpec, out *MetricSpec, s conversion.Scope) error {
return autoConvert_autoscaling_MetricSpec_To_v2alpha1_MetricSpec(in, out, s)
}
func autoConvert_v2alpha1_MetricStatus_To_autoscaling_MetricStatus(in *MetricStatus, out *autoscaling.MetricStatus, s conversion.Scope) error {
out.Type = autoscaling.MetricSourceType(in.Type)
out.Object = (*autoscaling.ObjectMetricStatus)(unsafe.Pointer(in.Object))
out.Pods = (*autoscaling.PodsMetricStatus)(unsafe.Pointer(in.Pods))
out.Resource = (*autoscaling.ResourceMetricStatus)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_v2alpha1_MetricStatus_To_autoscaling_MetricStatus is an autogenerated conversion function.
func Convert_v2alpha1_MetricStatus_To_autoscaling_MetricStatus(in *MetricStatus, out *autoscaling.MetricStatus, s conversion.Scope) error {
return autoConvert_v2alpha1_MetricStatus_To_autoscaling_MetricStatus(in, out, s)
}
func autoConvert_autoscaling_MetricStatus_To_v2alpha1_MetricStatus(in *autoscaling.MetricStatus, out *MetricStatus, s conversion.Scope) error {
out.Type = MetricSourceType(in.Type)
out.Object = (*ObjectMetricStatus)(unsafe.Pointer(in.Object))
out.Pods = (*PodsMetricStatus)(unsafe.Pointer(in.Pods))
out.Resource = (*ResourceMetricStatus)(unsafe.Pointer(in.Resource))
return nil
}
// Convert_autoscaling_MetricStatus_To_v2alpha1_MetricStatus is an autogenerated conversion function.
func Convert_autoscaling_MetricStatus_To_v2alpha1_MetricStatus(in *autoscaling.MetricStatus, out *MetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_MetricStatus_To_v2alpha1_MetricStatus(in, out, s)
}
func autoConvert_v2alpha1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in *ObjectMetricSource, out *autoscaling.ObjectMetricSource, s conversion.Scope) error {
if err := Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.TargetValue = in.TargetValue
return nil
}
// Convert_v2alpha1_ObjectMetricSource_To_autoscaling_ObjectMetricSource is an autogenerated conversion function.
func Convert_v2alpha1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in *ObjectMetricSource, out *autoscaling.ObjectMetricSource, s conversion.Scope) error {
return autoConvert_v2alpha1_ObjectMetricSource_To_autoscaling_ObjectMetricSource(in, out, s)
}
func autoConvert_autoscaling_ObjectMetricSource_To_v2alpha1_ObjectMetricSource(in *autoscaling.ObjectMetricSource, out *ObjectMetricSource, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.TargetValue = in.TargetValue
return nil
}
// Convert_autoscaling_ObjectMetricSource_To_v2alpha1_ObjectMetricSource is an autogenerated conversion function.
func Convert_autoscaling_ObjectMetricSource_To_v2alpha1_ObjectMetricSource(in *autoscaling.ObjectMetricSource, out *ObjectMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_ObjectMetricSource_To_v2alpha1_ObjectMetricSource(in, out, s)
}
func autoConvert_v2alpha1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in *ObjectMetricStatus, out *autoscaling.ObjectMetricStatus, s conversion.Scope) error {
if err := Convert_v2alpha1_CrossVersionObjectReference_To_autoscaling_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.CurrentValue = in.CurrentValue
return nil
}
// Convert_v2alpha1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus is an autogenerated conversion function.
func Convert_v2alpha1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in *ObjectMetricStatus, out *autoscaling.ObjectMetricStatus, s conversion.Scope) error {
return autoConvert_v2alpha1_ObjectMetricStatus_To_autoscaling_ObjectMetricStatus(in, out, s)
}
func autoConvert_autoscaling_ObjectMetricStatus_To_v2alpha1_ObjectMetricStatus(in *autoscaling.ObjectMetricStatus, out *ObjectMetricStatus, s conversion.Scope) error {
if err := Convert_autoscaling_CrossVersionObjectReference_To_v2alpha1_CrossVersionObjectReference(&in.Target, &out.Target, s); err != nil {
return err
}
out.MetricName = in.MetricName
out.CurrentValue = in.CurrentValue
return nil
}
// Convert_autoscaling_ObjectMetricStatus_To_v2alpha1_ObjectMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_ObjectMetricStatus_To_v2alpha1_ObjectMetricStatus(in *autoscaling.ObjectMetricStatus, out *ObjectMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_ObjectMetricStatus_To_v2alpha1_ObjectMetricStatus(in, out, s)
}
func autoConvert_v2alpha1_PodsMetricSource_To_autoscaling_PodsMetricSource(in *PodsMetricSource, out *autoscaling.PodsMetricSource, s conversion.Scope) error {
out.MetricName = in.MetricName
out.TargetAverageValue = in.TargetAverageValue
return nil
}
// Convert_v2alpha1_PodsMetricSource_To_autoscaling_PodsMetricSource is an autogenerated conversion function.
func Convert_v2alpha1_PodsMetricSource_To_autoscaling_PodsMetricSource(in *PodsMetricSource, out *autoscaling.PodsMetricSource, s conversion.Scope) error {
return autoConvert_v2alpha1_PodsMetricSource_To_autoscaling_PodsMetricSource(in, out, s)
}
func autoConvert_autoscaling_PodsMetricSource_To_v2alpha1_PodsMetricSource(in *autoscaling.PodsMetricSource, out *PodsMetricSource, s conversion.Scope) error {
out.MetricName = in.MetricName
out.TargetAverageValue = in.TargetAverageValue
return nil
}
// Convert_autoscaling_PodsMetricSource_To_v2alpha1_PodsMetricSource is an autogenerated conversion function.
func Convert_autoscaling_PodsMetricSource_To_v2alpha1_PodsMetricSource(in *autoscaling.PodsMetricSource, out *PodsMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_PodsMetricSource_To_v2alpha1_PodsMetricSource(in, out, s)
}
func autoConvert_v2alpha1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in *PodsMetricStatus, out *autoscaling.PodsMetricStatus, s conversion.Scope) error {
out.MetricName = in.MetricName
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_v2alpha1_PodsMetricStatus_To_autoscaling_PodsMetricStatus is an autogenerated conversion function.
func Convert_v2alpha1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in *PodsMetricStatus, out *autoscaling.PodsMetricStatus, s conversion.Scope) error {
return autoConvert_v2alpha1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in, out, s)
}
func autoConvert_autoscaling_PodsMetricStatus_To_v2alpha1_PodsMetricStatus(in *autoscaling.PodsMetricStatus, out *PodsMetricStatus, s conversion.Scope) error {
out.MetricName = in.MetricName
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_autoscaling_PodsMetricStatus_To_v2alpha1_PodsMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_PodsMetricStatus_To_v2alpha1_PodsMetricStatus(in *autoscaling.PodsMetricStatus, out *PodsMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_PodsMetricStatus_To_v2alpha1_PodsMetricStatus(in, out, s)
}
func autoConvert_v2alpha1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in *ResourceMetricSource, out *autoscaling.ResourceMetricSource, s conversion.Scope) error {
out.Name = api.ResourceName(in.Name)
out.TargetAverageUtilization = (*int32)(unsafe.Pointer(in.TargetAverageUtilization))
out.TargetAverageValue = (*resource.Quantity)(unsafe.Pointer(in.TargetAverageValue))
return nil
}
// Convert_v2alpha1_ResourceMetricSource_To_autoscaling_ResourceMetricSource is an autogenerated conversion function.
func Convert_v2alpha1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in *ResourceMetricSource, out *autoscaling.ResourceMetricSource, s conversion.Scope) error {
return autoConvert_v2alpha1_ResourceMetricSource_To_autoscaling_ResourceMetricSource(in, out, s)
}
func autoConvert_autoscaling_ResourceMetricSource_To_v2alpha1_ResourceMetricSource(in *autoscaling.ResourceMetricSource, out *ResourceMetricSource, s conversion.Scope) error {
out.Name = v1.ResourceName(in.Name)
out.TargetAverageUtilization = (*int32)(unsafe.Pointer(in.TargetAverageUtilization))
out.TargetAverageValue = (*resource.Quantity)(unsafe.Pointer(in.TargetAverageValue))
return nil
}
// Convert_autoscaling_ResourceMetricSource_To_v2alpha1_ResourceMetricSource is an autogenerated conversion function.
func Convert_autoscaling_ResourceMetricSource_To_v2alpha1_ResourceMetricSource(in *autoscaling.ResourceMetricSource, out *ResourceMetricSource, s conversion.Scope) error {
return autoConvert_autoscaling_ResourceMetricSource_To_v2alpha1_ResourceMetricSource(in, out, s)
}
func autoConvert_v2alpha1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in *ResourceMetricStatus, out *autoscaling.ResourceMetricStatus, s conversion.Scope) error {
out.Name = api.ResourceName(in.Name)
out.CurrentAverageUtilization = (*int32)(unsafe.Pointer(in.CurrentAverageUtilization))
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_v2alpha1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus is an autogenerated conversion function.
func Convert_v2alpha1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in *ResourceMetricStatus, out *autoscaling.ResourceMetricStatus, s conversion.Scope) error {
return autoConvert_v2alpha1_ResourceMetricStatus_To_autoscaling_ResourceMetricStatus(in, out, s)
}
func autoConvert_autoscaling_ResourceMetricStatus_To_v2alpha1_ResourceMetricStatus(in *autoscaling.ResourceMetricStatus, out *ResourceMetricStatus, s conversion.Scope) error {
out.Name = v1.ResourceName(in.Name)
out.CurrentAverageUtilization = (*int32)(unsafe.Pointer(in.CurrentAverageUtilization))
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
// Convert_autoscaling_ResourceMetricStatus_To_v2alpha1_ResourceMetricStatus is an autogenerated conversion function.
func Convert_autoscaling_ResourceMetricStatus_To_v2alpha1_ResourceMetricStatus(in *autoscaling.ResourceMetricStatus, out *ResourceMetricStatus, s conversion.Scope) error {
return autoConvert_autoscaling_ResourceMetricStatus_To_v2alpha1_ResourceMetricStatus(in, out, s)
}

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vendor/k8s.io/client-go/pkg/apis/autoscaling/v2alpha1/zz_generated.deepcopy.go generated vendored Normal file
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@ -0,0 +1,319 @@
// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by deepcopy-gen. Do not edit it manually!
package v2alpha1
import (
resource "k8s.io/apimachinery/pkg/api/resource"
v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
reflect "reflect"
)
func init() {
SchemeBuilder.Register(RegisterDeepCopies)
}
// RegisterDeepCopies adds deep-copy functions to the given scheme. Public
// to allow building arbitrary schemes.
func RegisterDeepCopies(scheme *runtime.Scheme) error {
return scheme.AddGeneratedDeepCopyFuncs(
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_CrossVersionObjectReference, InType: reflect.TypeOf(&CrossVersionObjectReference{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_HorizontalPodAutoscaler, InType: reflect.TypeOf(&HorizontalPodAutoscaler{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_HorizontalPodAutoscalerCondition, InType: reflect.TypeOf(&HorizontalPodAutoscalerCondition{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_HorizontalPodAutoscalerList, InType: reflect.TypeOf(&HorizontalPodAutoscalerList{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_HorizontalPodAutoscalerSpec, InType: reflect.TypeOf(&HorizontalPodAutoscalerSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_HorizontalPodAutoscalerStatus, InType: reflect.TypeOf(&HorizontalPodAutoscalerStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_MetricSpec, InType: reflect.TypeOf(&MetricSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_MetricStatus, InType: reflect.TypeOf(&MetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_ObjectMetricSource, InType: reflect.TypeOf(&ObjectMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_ObjectMetricStatus, InType: reflect.TypeOf(&ObjectMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_PodsMetricSource, InType: reflect.TypeOf(&PodsMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_PodsMetricStatus, InType: reflect.TypeOf(&PodsMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_ResourceMetricSource, InType: reflect.TypeOf(&ResourceMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_v2alpha1_ResourceMetricStatus, InType: reflect.TypeOf(&ResourceMetricStatus{})},
)
}
// DeepCopy_v2alpha1_CrossVersionObjectReference is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_CrossVersionObjectReference(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*CrossVersionObjectReference)
out := out.(*CrossVersionObjectReference)
*out = *in
return nil
}
}
// DeepCopy_v2alpha1_HorizontalPodAutoscaler is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_HorizontalPodAutoscaler(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscaler)
out := out.(*HorizontalPodAutoscaler)
*out = *in
if newVal, err := c.DeepCopy(&in.ObjectMeta); err != nil {
return err
} else {
out.ObjectMeta = *newVal.(*v1.ObjectMeta)
}
if err := DeepCopy_v2alpha1_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, c); err != nil {
return err
}
if err := DeepCopy_v2alpha1_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, c); err != nil {
return err
}
return nil
}
}
// DeepCopy_v2alpha1_HorizontalPodAutoscalerCondition is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_HorizontalPodAutoscalerCondition(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerCondition)
out := out.(*HorizontalPodAutoscalerCondition)
*out = *in
out.LastTransitionTime = in.LastTransitionTime.DeepCopy()
return nil
}
}
// DeepCopy_v2alpha1_HorizontalPodAutoscalerList is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_HorizontalPodAutoscalerList(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerList)
out := out.(*HorizontalPodAutoscalerList)
*out = *in
if in.Items != nil {
in, out := &in.Items, &out.Items
*out = make([]HorizontalPodAutoscaler, len(*in))
for i := range *in {
if err := DeepCopy_v2alpha1_HorizontalPodAutoscaler(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_v2alpha1_HorizontalPodAutoscalerSpec is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_HorizontalPodAutoscalerSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerSpec)
out := out.(*HorizontalPodAutoscalerSpec)
*out = *in
if in.MinReplicas != nil {
in, out := &in.MinReplicas, &out.MinReplicas
*out = new(int32)
**out = **in
}
if in.Metrics != nil {
in, out := &in.Metrics, &out.Metrics
*out = make([]MetricSpec, len(*in))
for i := range *in {
if err := DeepCopy_v2alpha1_MetricSpec(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_v2alpha1_HorizontalPodAutoscalerStatus is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_HorizontalPodAutoscalerStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerStatus)
out := out.(*HorizontalPodAutoscalerStatus)
*out = *in
if in.ObservedGeneration != nil {
in, out := &in.ObservedGeneration, &out.ObservedGeneration
*out = new(int64)
**out = **in
}
if in.LastScaleTime != nil {
in, out := &in.LastScaleTime, &out.LastScaleTime
*out = new(v1.Time)
**out = (*in).DeepCopy()
}
if in.CurrentMetrics != nil {
in, out := &in.CurrentMetrics, &out.CurrentMetrics
*out = make([]MetricStatus, len(*in))
for i := range *in {
if err := DeepCopy_v2alpha1_MetricStatus(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
if in.Conditions != nil {
in, out := &in.Conditions, &out.Conditions
*out = make([]HorizontalPodAutoscalerCondition, len(*in))
for i := range *in {
if err := DeepCopy_v2alpha1_HorizontalPodAutoscalerCondition(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_v2alpha1_MetricSpec is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_MetricSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricSpec)
out := out.(*MetricSpec)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricSource)
if err := DeepCopy_v2alpha1_ObjectMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricSource)
if err := DeepCopy_v2alpha1_PodsMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricSource)
if err := DeepCopy_v2alpha1_ResourceMetricSource(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_v2alpha1_MetricStatus is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_MetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricStatus)
out := out.(*MetricStatus)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricStatus)
if err := DeepCopy_v2alpha1_ObjectMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricStatus)
if err := DeepCopy_v2alpha1_PodsMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricStatus)
if err := DeepCopy_v2alpha1_ResourceMetricStatus(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_v2alpha1_ObjectMetricSource is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_ObjectMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricSource)
out := out.(*ObjectMetricSource)
*out = *in
out.TargetValue = in.TargetValue.DeepCopy()
return nil
}
}
// DeepCopy_v2alpha1_ObjectMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_ObjectMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricStatus)
out := out.(*ObjectMetricStatus)
*out = *in
out.CurrentValue = in.CurrentValue.DeepCopy()
return nil
}
}
// DeepCopy_v2alpha1_PodsMetricSource is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_PodsMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricSource)
out := out.(*PodsMetricSource)
*out = *in
out.TargetAverageValue = in.TargetAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_v2alpha1_PodsMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_PodsMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricStatus)
out := out.(*PodsMetricStatus)
*out = *in
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_v2alpha1_ResourceMetricSource is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_ResourceMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricSource)
out := out.(*ResourceMetricSource)
*out = *in
if in.TargetAverageUtilization != nil {
in, out := &in.TargetAverageUtilization, &out.TargetAverageUtilization
*out = new(int32)
**out = **in
}
if in.TargetAverageValue != nil {
in, out := &in.TargetAverageValue, &out.TargetAverageValue
*out = new(resource.Quantity)
**out = (*in).DeepCopy()
}
return nil
}
}
// DeepCopy_v2alpha1_ResourceMetricStatus is an autogenerated deepcopy function.
func DeepCopy_v2alpha1_ResourceMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricStatus)
out := out.(*ResourceMetricStatus)
*out = *in
if in.CurrentAverageUtilization != nil {
in, out := &in.CurrentAverageUtilization, &out.CurrentAverageUtilization
*out = new(int32)
**out = **in
}
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}

47
vendor/k8s.io/client-go/pkg/apis/autoscaling/v2alpha1/zz_generated.defaults.go generated vendored Normal file
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@ -0,0 +1,47 @@
// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by defaulter-gen. Do not edit it manually!
package v2alpha1
import (
runtime "k8s.io/apimachinery/pkg/runtime"
)
// RegisterDefaults adds defaulters functions to the given scheme.
// Public to allow building arbitrary schemes.
// All generated defaulters are covering - they call all nested defaulters.
func RegisterDefaults(scheme *runtime.Scheme) error {
scheme.AddTypeDefaultingFunc(&HorizontalPodAutoscaler{}, func(obj interface{}) { SetObjectDefaults_HorizontalPodAutoscaler(obj.(*HorizontalPodAutoscaler)) })
scheme.AddTypeDefaultingFunc(&HorizontalPodAutoscalerList{}, func(obj interface{}) {
SetObjectDefaults_HorizontalPodAutoscalerList(obj.(*HorizontalPodAutoscalerList))
})
return nil
}
func SetObjectDefaults_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler) {
SetDefaults_HorizontalPodAutoscaler(in)
}
func SetObjectDefaults_HorizontalPodAutoscalerList(in *HorizontalPodAutoscalerList) {
for i := range in.Items {
a := &in.Items[i]
SetObjectDefaults_HorizontalPodAutoscaler(a)
}
}

357
vendor/k8s.io/client-go/pkg/apis/autoscaling/zz_generated.deepcopy.go generated vendored Normal file
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@ -0,0 +1,357 @@
// +build !ignore_autogenerated
/*
Copyright 2017 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.
*/
// This file was autogenerated by deepcopy-gen. Do not edit it manually!
package autoscaling
import (
resource "k8s.io/apimachinery/pkg/api/resource"
v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
reflect "reflect"
)
func init() {
SchemeBuilder.Register(RegisterDeepCopies)
}
// RegisterDeepCopies adds deep-copy functions to the given scheme. Public
// to allow building arbitrary schemes.
func RegisterDeepCopies(scheme *runtime.Scheme) error {
return scheme.AddGeneratedDeepCopyFuncs(
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_CrossVersionObjectReference, InType: reflect.TypeOf(&CrossVersionObjectReference{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_HorizontalPodAutoscaler, InType: reflect.TypeOf(&HorizontalPodAutoscaler{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_HorizontalPodAutoscalerCondition, InType: reflect.TypeOf(&HorizontalPodAutoscalerCondition{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_HorizontalPodAutoscalerList, InType: reflect.TypeOf(&HorizontalPodAutoscalerList{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_HorizontalPodAutoscalerSpec, InType: reflect.TypeOf(&HorizontalPodAutoscalerSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_HorizontalPodAutoscalerStatus, InType: reflect.TypeOf(&HorizontalPodAutoscalerStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_MetricSpec, InType: reflect.TypeOf(&MetricSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_MetricStatus, InType: reflect.TypeOf(&MetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ObjectMetricSource, InType: reflect.TypeOf(&ObjectMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ObjectMetricStatus, InType: reflect.TypeOf(&ObjectMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_PodsMetricSource, InType: reflect.TypeOf(&PodsMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_PodsMetricStatus, InType: reflect.TypeOf(&PodsMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ResourceMetricSource, InType: reflect.TypeOf(&ResourceMetricSource{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ResourceMetricStatus, InType: reflect.TypeOf(&ResourceMetricStatus{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_Scale, InType: reflect.TypeOf(&Scale{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ScaleSpec, InType: reflect.TypeOf(&ScaleSpec{})},
conversion.GeneratedDeepCopyFunc{Fn: DeepCopy_autoscaling_ScaleStatus, InType: reflect.TypeOf(&ScaleStatus{})},
)
}
// DeepCopy_autoscaling_CrossVersionObjectReference is an autogenerated deepcopy function.
func DeepCopy_autoscaling_CrossVersionObjectReference(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*CrossVersionObjectReference)
out := out.(*CrossVersionObjectReference)
*out = *in
return nil
}
}
// DeepCopy_autoscaling_HorizontalPodAutoscaler is an autogenerated deepcopy function.
func DeepCopy_autoscaling_HorizontalPodAutoscaler(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscaler)
out := out.(*HorizontalPodAutoscaler)
*out = *in
if newVal, err := c.DeepCopy(&in.ObjectMeta); err != nil {
return err
} else {
out.ObjectMeta = *newVal.(*v1.ObjectMeta)
}
if err := DeepCopy_autoscaling_HorizontalPodAutoscalerSpec(&in.Spec, &out.Spec, c); err != nil {
return err
}
if err := DeepCopy_autoscaling_HorizontalPodAutoscalerStatus(&in.Status, &out.Status, c); err != nil {
return err
}
return nil
}
}
// DeepCopy_autoscaling_HorizontalPodAutoscalerCondition is an autogenerated deepcopy function.
func DeepCopy_autoscaling_HorizontalPodAutoscalerCondition(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerCondition)
out := out.(*HorizontalPodAutoscalerCondition)
*out = *in
out.LastTransitionTime = in.LastTransitionTime.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_HorizontalPodAutoscalerList is an autogenerated deepcopy function.
func DeepCopy_autoscaling_HorizontalPodAutoscalerList(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerList)
out := out.(*HorizontalPodAutoscalerList)
*out = *in
if in.Items != nil {
in, out := &in.Items, &out.Items
*out = make([]HorizontalPodAutoscaler, len(*in))
for i := range *in {
if err := DeepCopy_autoscaling_HorizontalPodAutoscaler(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_autoscaling_HorizontalPodAutoscalerSpec is an autogenerated deepcopy function.
func DeepCopy_autoscaling_HorizontalPodAutoscalerSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerSpec)
out := out.(*HorizontalPodAutoscalerSpec)
*out = *in
if in.MinReplicas != nil {
in, out := &in.MinReplicas, &out.MinReplicas
*out = new(int32)
**out = **in
}
if in.Metrics != nil {
in, out := &in.Metrics, &out.Metrics
*out = make([]MetricSpec, len(*in))
for i := range *in {
if err := DeepCopy_autoscaling_MetricSpec(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_autoscaling_HorizontalPodAutoscalerStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_HorizontalPodAutoscalerStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*HorizontalPodAutoscalerStatus)
out := out.(*HorizontalPodAutoscalerStatus)
*out = *in
if in.ObservedGeneration != nil {
in, out := &in.ObservedGeneration, &out.ObservedGeneration
*out = new(int64)
**out = **in
}
if in.LastScaleTime != nil {
in, out := &in.LastScaleTime, &out.LastScaleTime
*out = new(v1.Time)
**out = (*in).DeepCopy()
}
if in.CurrentMetrics != nil {
in, out := &in.CurrentMetrics, &out.CurrentMetrics
*out = make([]MetricStatus, len(*in))
for i := range *in {
if err := DeepCopy_autoscaling_MetricStatus(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
if in.Conditions != nil {
in, out := &in.Conditions, &out.Conditions
*out = make([]HorizontalPodAutoscalerCondition, len(*in))
for i := range *in {
if err := DeepCopy_autoscaling_HorizontalPodAutoscalerCondition(&(*in)[i], &(*out)[i], c); err != nil {
return err
}
}
}
return nil
}
}
// DeepCopy_autoscaling_MetricSpec is an autogenerated deepcopy function.
func DeepCopy_autoscaling_MetricSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricSpec)
out := out.(*MetricSpec)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricSource)
if err := DeepCopy_autoscaling_ObjectMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricSource)
if err := DeepCopy_autoscaling_PodsMetricSource(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricSource)
if err := DeepCopy_autoscaling_ResourceMetricSource(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_autoscaling_MetricStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_MetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*MetricStatus)
out := out.(*MetricStatus)
*out = *in
if in.Object != nil {
in, out := &in.Object, &out.Object
*out = new(ObjectMetricStatus)
if err := DeepCopy_autoscaling_ObjectMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Pods != nil {
in, out := &in.Pods, &out.Pods
*out = new(PodsMetricStatus)
if err := DeepCopy_autoscaling_PodsMetricStatus(*in, *out, c); err != nil {
return err
}
}
if in.Resource != nil {
in, out := &in.Resource, &out.Resource
*out = new(ResourceMetricStatus)
if err := DeepCopy_autoscaling_ResourceMetricStatus(*in, *out, c); err != nil {
return err
}
}
return nil
}
}
// DeepCopy_autoscaling_ObjectMetricSource is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ObjectMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricSource)
out := out.(*ObjectMetricSource)
*out = *in
out.TargetValue = in.TargetValue.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_ObjectMetricStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ObjectMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ObjectMetricStatus)
out := out.(*ObjectMetricStatus)
*out = *in
out.CurrentValue = in.CurrentValue.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_PodsMetricSource is an autogenerated deepcopy function.
func DeepCopy_autoscaling_PodsMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricSource)
out := out.(*PodsMetricSource)
*out = *in
out.TargetAverageValue = in.TargetAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_PodsMetricStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_PodsMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*PodsMetricStatus)
out := out.(*PodsMetricStatus)
*out = *in
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_ResourceMetricSource is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ResourceMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricSource)
out := out.(*ResourceMetricSource)
*out = *in
if in.TargetAverageUtilization != nil {
in, out := &in.TargetAverageUtilization, &out.TargetAverageUtilization
*out = new(int32)
**out = **in
}
if in.TargetAverageValue != nil {
in, out := &in.TargetAverageValue, &out.TargetAverageValue
*out = new(resource.Quantity)
**out = (*in).DeepCopy()
}
return nil
}
}
// DeepCopy_autoscaling_ResourceMetricStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ResourceMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ResourceMetricStatus)
out := out.(*ResourceMetricStatus)
*out = *in
if in.CurrentAverageUtilization != nil {
in, out := &in.CurrentAverageUtilization, &out.CurrentAverageUtilization
*out = new(int32)
**out = **in
}
out.CurrentAverageValue = in.CurrentAverageValue.DeepCopy()
return nil
}
}
// DeepCopy_autoscaling_Scale is an autogenerated deepcopy function.
func DeepCopy_autoscaling_Scale(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*Scale)
out := out.(*Scale)
*out = *in
if newVal, err := c.DeepCopy(&in.ObjectMeta); err != nil {
return err
} else {
out.ObjectMeta = *newVal.(*v1.ObjectMeta)
}
return nil
}
}
// DeepCopy_autoscaling_ScaleSpec is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ScaleSpec(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ScaleSpec)
out := out.(*ScaleSpec)
*out = *in
return nil
}
}
// DeepCopy_autoscaling_ScaleStatus is an autogenerated deepcopy function.
func DeepCopy_autoscaling_ScaleStatus(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*ScaleStatus)
out := out.(*ScaleStatus)
*out = *in
return nil
}
}