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vendor: remove dep and use vndr

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Signed-off-by: Antonio Murdaca <runcom@redhat.com>
This commit is contained in:
Antonio Murdaca 2017-06-06 09:19:04 +02:00
parent 16f44674a4
commit 148e72d81e
No known key found for this signature in database
GPG key ID: B2BEAD150DE936B9
16131 changed files with 73815 additions and 4235138 deletions
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43
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/BUILD generated vendored
View file

@ -1,43 +0,0 @@
package(default_visibility = ["//visibility:public"])
licenses(["notice"])
load(
"@io_bazel_rules_go//go:def.bzl",
"go_library",
)
go_library(
name = "go_default_library",
srcs = [
"doc.go",
"register.go",
"types.go",
"zz_generated.deepcopy.go",
],
tags = ["automanaged"],
deps = [
"//vendor:k8s.io/apimachinery/pkg/apis/meta/v1",
"//vendor:k8s.io/apimachinery/pkg/conversion",
"//vendor:k8s.io/apimachinery/pkg/runtime",
"//vendor:k8s.io/apimachinery/pkg/runtime/schema",
],
)
filegroup(
name = "package-srcs",
srcs = glob(["**"]),
tags = ["automanaged"],
visibility = ["//visibility:private"],
)
filegroup(
name = "all-srcs",
srcs = [
":package-srcs",
"//pkg/apis/autoscaling/install:all-srcs",
"//pkg/apis/autoscaling/v1:all-srcs",
"//pkg/apis/autoscaling/validation:all-srcs",
],
tags = ["automanaged"],
)

20
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/OWNERS generated vendored
View file

@ -1,20 +0,0 @@
reviewers:
- thockin
- lavalamp
- smarterclayton
- wojtek-t
- deads2k
- caesarxuchao
- erictune
- sttts
- ncdc
- timothysc
- piosz
- dims
- errordeveloper
- madhusudancs
- krousey
- mml
- mbohlool
- david-mcmahon
- jianhuiz

30
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/annotations.go generated vendored Normal file
View file

@ -0,0 +1,30 @@
/*
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"
// 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

35
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/install/BUILD generated vendored
View file

@ -1,35 +0,0 @@
package(default_visibility = ["//visibility:public"])
licenses(["notice"])
load(
"@io_bazel_rules_go//go:def.bzl",
"go_library",
)
go_library(
name = "go_default_library",
srcs = ["install.go"],
tags = ["automanaged"],
deps = [
"//pkg/api:go_default_library",
"//pkg/apis/autoscaling:go_default_library",
"//pkg/apis/autoscaling/v1:go_default_library",
"//vendor:k8s.io/apimachinery/pkg/apimachinery/announced",
"//vendor:k8s.io/apimachinery/pkg/apimachinery/registered",
"//vendor:k8s.io/apimachinery/pkg/runtime",
],
)
filegroup(
name = "package-srcs",
srcs = glob(["**"]),
tags = ["automanaged"],
visibility = ["//visibility:private"],
)
filegroup(
name = "all-srcs",
srcs = [":package-srcs"],
tags = ["automanaged"],
)

6
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/install/install.go generated vendored
View file

@ -25,6 +25,7 @@ import (
"k8s.io/kubernetes/pkg/api"
"k8s.io/kubernetes/pkg/apis/autoscaling"
"k8s.io/kubernetes/pkg/apis/autoscaling/v1"
"k8s.io/kubernetes/pkg/apis/autoscaling/v2alpha1"
)
func init() {
@ -36,12 +37,13 @@ func Install(groupFactoryRegistry announced.APIGroupFactoryRegistry, registry *r
if err := announced.NewGroupMetaFactory(
&announced.GroupMetaFactoryArgs{
GroupName: autoscaling.GroupName,
VersionPreferenceOrder: []string{v1.SchemeGroupVersion.Version},
VersionPreferenceOrder: []string{v1.SchemeGroupVersion.Version, v2alpha1.SchemeGroupVersion.Version},
ImportPrefix: "k8s.io/kubernetes/pkg/apis/autoscaling",
AddInternalObjectsToScheme: autoscaling.AddToScheme,
},
announced.VersionToSchemeFunc{
v1.SchemeGroupVersion.Version: v1.AddToScheme,
v1.SchemeGroupVersion.Version: v1.AddToScheme,
v2alpha1.SchemeGroupVersion.Version: v2alpha1.AddToScheme,
},
).Announce(groupFactoryRegistry).RegisterAndEnable(registry, scheme); err != nil {
panic(err)

213
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/types.go generated vendored
View file

@ -17,7 +17,9 @@ limitations under the License.
package autoscaling
import (
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/kubernetes/pkg/api"
)
// Scale represents a scaling request for a resource.
@ -67,68 +69,237 @@ type CrossVersionObjectReference struct {
APIVersion string
}
// specification of a horizontal pod autoscaler.
// HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
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 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
// lower limit for the number of pods that can be set by the autoscaler, default 1.
// 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
// upper limit for the number of pods that can be set by the autoscaler. It cannot be smaller than 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
// 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.
// 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
TargetCPUUtilizationPercentage *int32
Metrics []MetricSpec
}
// current status of a horizontal pod autoscaler
// 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 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 {
// most recent generation observed by this autoscaler.
// ObservedGeneration is the most recent generation observed by this autoscaler.
// +optional
ObservedGeneration *int64
// last time the HorizontalPodAutoscaler scaled the number of pods;
// 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
// current number of replicas of pods managed by this autoscaler.
// CurrentReplicas is current number of replicas of pods managed by this autoscaler,
// as last seen by the autoscaler.
CurrentReplicas int32
// desired number of replicas of pods managed by this autoscaler.
// DesiredReplicas is the desired number of replicas of pods managed by this autoscaler,
// as last calculated by the autoscaler.
DesiredReplicas int32
// 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.
// CurrentMetrics is the last read state of the metrics used by this autoscaler.
CurrentMetrics []MetricStatus
}
// 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
CurrentCPUUtilizationPercentage *int32
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 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
// configuration of a horizontal pod autoscaler.
// 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: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata
// +optional
metav1.ObjectMeta
// behaviour of autoscaler. More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#spec-and-status.
// Spec is the specification for the behaviour of the autoscaler.
// More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#spec-and-status.
// +optional
Spec HorizontalPodAutoscalerSpec
// current information about the autoscaler.
// Status is the current information about the autoscaler.
// +optional
Status HorizontalPodAutoscalerStatus
}
// list of horizontal pod autoscaler objects.
// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.
type HorizontalPodAutoscalerList struct {
metav1.TypeMeta
// Metadata is the standard list metadata.
// +optional
metav1.ListMeta
// list of horizontal pod autoscaler objects.
// Items is the list of horizontal pod autoscaler objects.
Items []HorizontalPodAutoscaler
}

62
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/BUILD generated vendored
View file

@ -1,62 +0,0 @@
package(default_visibility = ["//visibility:public"])
licenses(["notice"])
load(
"@io_bazel_rules_go//go:def.bzl",
"go_library",
"go_test",
)
go_library(
name = "go_default_library",
srcs = [
"defaults.go",
"doc.go",
"generated.pb.go",
"register.go",
"types.generated.go",
"types.go",
"types_swagger_doc_generated.go",
"zz_generated.conversion.go",
"zz_generated.deepcopy.go",
"zz_generated.defaults.go",
],
tags = ["automanaged"],
deps = [
"//pkg/apis/autoscaling:go_default_library",
"//vendor:github.com/gogo/protobuf/proto",
"//vendor:github.com/ugorji/go/codec",
"//vendor:k8s.io/apimachinery/pkg/apis/meta/v1",
"//vendor:k8s.io/apimachinery/pkg/conversion",
"//vendor:k8s.io/apimachinery/pkg/runtime",
"//vendor:k8s.io/apimachinery/pkg/runtime/schema",
"//vendor:k8s.io/apimachinery/pkg/types",
],
)
go_test(
name = "go_default_xtest",
srcs = ["defaults_test.go"],
tags = ["automanaged"],
deps = [
"//pkg/api:go_default_library",
"//pkg/api/install:go_default_library",
"//pkg/apis/autoscaling/install:go_default_library",
"//pkg/apis/autoscaling/v1:go_default_library",
"//vendor:k8s.io/apimachinery/pkg/runtime",
],
)
filegroup(
name = "package-srcs",
srcs = glob(["**"]),
tags = ["automanaged"],
visibility = ["//visibility:private"],
)
filegroup(
name = "all-srcs",
srcs = [":package-srcs"],
tags = ["automanaged"],
)

244
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/conversion.go generated vendored Normal file
View file

@ -0,0 +1,244 @@
/*
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/kubernetes/pkg/api"
"k8s.io/kubernetes/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
}
}
if len(otherMetrics) > 0 || len(in.Status.CurrentMetrics) > 0 {
old := out.Annotations
out.Annotations = make(map[string]string, len(old)+2)
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)
}
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
}
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
}

3
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/defaults.go generated vendored
View file

@ -32,4 +32,7 @@ func SetDefaults_HorizontalPodAutoscaler(obj *HorizontalPodAutoscaler) {
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.
}

91
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/defaults_test.go generated vendored
View file

@ -1,91 +0,0 @@
/*
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_test
import (
"reflect"
"testing"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/kubernetes/pkg/api"
_ "k8s.io/kubernetes/pkg/api/install"
_ "k8s.io/kubernetes/pkg/apis/autoscaling/install"
. "k8s.io/kubernetes/pkg/apis/autoscaling/v1"
)
func TestSetDefaultHPA(t *testing.T) {
tests := []struct {
hpa HorizontalPodAutoscaler
expectReplicas int32
test string
}{
{
hpa: HorizontalPodAutoscaler{},
expectReplicas: 1,
test: "unspecified min replicas, use the default value",
},
{
hpa: HorizontalPodAutoscaler{
Spec: HorizontalPodAutoscalerSpec{
MinReplicas: newInt32(3),
},
},
expectReplicas: 3,
test: "set min replicas to 3",
},
}
for _, test := range tests {
hpa := &test.hpa
obj2 := roundTrip(t, runtime.Object(hpa))
hpa2, ok := obj2.(*HorizontalPodAutoscaler)
if !ok {
t.Fatalf("unexpected object: %v", obj2)
}
if hpa2.Spec.MinReplicas == nil {
t.Errorf("unexpected nil MinReplicas")
} else if test.expectReplicas != *hpa2.Spec.MinReplicas {
t.Errorf("expected: %d MinReplicas, got: %d", test.expectReplicas, *hpa2.Spec.MinReplicas)
}
}
}
func roundTrip(t *testing.T, obj runtime.Object) runtime.Object {
data, err := runtime.Encode(api.Codecs.LegacyCodec(SchemeGroupVersion), obj)
if err != nil {
t.Errorf("%v\n %#v", err, obj)
return nil
}
obj2, err := runtime.Decode(api.Codecs.UniversalDecoder(), data)
if err != nil {
t.Errorf("%v\nData: %s\nSource: %#v", err, string(data), obj)
return nil
}
obj3 := reflect.New(reflect.TypeOf(obj).Elem()).Interface().(runtime.Object)
err = api.Scheme.Convert(obj2, obj3, nil)
if err != nil {
t.Errorf("%v\nSource: %#v", err, obj2)
return nil
}
return obj3
}
func newInt32(val int32) *int32 {
p := new(int32)
*p = val
return p
}

1838
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/generated.pb.go generated vendored
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154
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/generated.proto generated vendored
View file

@ -21,12 +21,13 @@ syntax = 'proto2';
package k8s.io.kubernetes.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/kubernetes/pkg/api/resource/generated.proto";
import "k8s.io/apimachinery/pkg/util/intstr/generated.proto";
import "k8s.io/apiserver/pkg/apis/example/v1/generated.proto";
import "k8s.io/kubernetes/pkg/api/v1/generated.proto";
import "k8s.io/kubernetes/pkg/util/intstr/generated.proto";
// Package-wide variables from generator "generated".
option go_package = "v1";
@ -111,6 +112,155 @@ message HorizontalPodAutoscalerStatus {
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 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 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: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata.

2
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/register.go generated vendored
View file

@ -34,7 +34,7 @@ func Resource(resource string) schema.GroupResource {
}
var (
SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes, addDefaultingFuncs)
SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes, addDefaultingFuncs, addConversionFuncs)
AddToScheme = SchemeBuilder.AddToScheme
)

2339
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/types.generated.go generated vendored
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164
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/types.go generated vendored
View file

@ -16,7 +16,11 @@ limitations under the License.
package v1
import metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
import (
"k8s.io/apimachinery/pkg/api/resource"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/kubernetes/pkg/api/v1"
)
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
type CrossVersionObjectReference struct {
@ -132,3 +136,161 @@ type ScaleStatus struct {
// +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 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"`
}
// 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 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"`
}

88
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/types_swagger_doc_generated.go generated vendored
View file

@ -84,6 +84,94 @@ 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 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 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: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata.",

255
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/zz_generated.conversion.go generated vendored
View file

@ -21,9 +21,12 @@ limitations under the License.
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/kubernetes/pkg/api"
api_v1 "k8s.io/kubernetes/pkg/api/v1"
autoscaling "k8s.io/kubernetes/pkg/apis/autoscaling"
unsafe "unsafe"
)
@ -46,6 +49,22 @@ func RegisterConversions(scheme *runtime.Scheme) error {
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,
@ -88,10 +107,6 @@ func autoConvert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscal
return nil
}
func Convert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in *HorizontalPodAutoscaler, out *autoscaling.HorizontalPodAutoscaler, s conversion.Scope) error {
return autoConvert_v1_HorizontalPodAutoscaler_To_autoscaling_HorizontalPodAutoscaler(in, out, s)
}
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 {
@ -103,13 +118,19 @@ func autoConvert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscal
return nil
}
func Convert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(in *autoscaling.HorizontalPodAutoscaler, out *HorizontalPodAutoscaler, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscaler_To_v1_HorizontalPodAutoscaler(in, out, s)
}
func autoConvert_v1_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))
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
}
@ -119,7 +140,17 @@ func Convert_v1_HorizontalPodAutoscalerList_To_autoscaling_HorizontalPodAutoscal
func autoConvert_autoscaling_HorizontalPodAutoscalerList_To_v1_HorizontalPodAutoscalerList(in *autoscaling.HorizontalPodAutoscalerList, out *HorizontalPodAutoscalerList, s conversion.Scope) error {
out.ListMeta = in.ListMeta
out.Items = *(*[]HorizontalPodAutoscaler)(unsafe.Pointer(&in.Items))
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
}
@ -133,52 +164,220 @@ func autoConvert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAuto
}
out.MinReplicas = (*int32)(unsafe.Pointer(in.MinReplicas))
out.MaxReplicas = in.MaxReplicas
out.TargetCPUUtilizationPercentage = (*int32)(unsafe.Pointer(in.TargetCPUUtilizationPercentage))
// WARNING: in.TargetCPUUtilizationPercentage requires manual conversion: does not exist in peer-type
return nil
}
func Convert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in *HorizontalPodAutoscalerSpec, out *autoscaling.HorizontalPodAutoscalerSpec, s conversion.Scope) error {
return autoConvert_v1_HorizontalPodAutoscalerSpec_To_autoscaling_HorizontalPodAutoscalerSpec(in, out, s)
}
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
out.TargetCPUUtilizationPercentage = (*int32)(unsafe.Pointer(in.TargetCPUUtilizationPercentage))
// WARNING: in.Metrics requires manual conversion: does not exist in peer-type
return nil
}
func Convert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec(in *autoscaling.HorizontalPodAutoscalerSpec, out *HorizontalPodAutoscalerSpec, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerSpec_To_v1_HorizontalPodAutoscalerSpec(in, out, s)
}
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
out.CurrentCPUUtilizationPercentage = (*int32)(unsafe.Pointer(in.CurrentCPUUtilizationPercentage))
// WARNING: in.CurrentCPUUtilizationPercentage requires manual conversion: does not exist in peer-type
return nil
}
func Convert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in *HorizontalPodAutoscalerStatus, out *autoscaling.HorizontalPodAutoscalerStatus, s conversion.Scope) error {
return autoConvert_v1_HorizontalPodAutoscalerStatus_To_autoscaling_HorizontalPodAutoscalerStatus(in, out, s)
}
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
out.CurrentCPUUtilizationPercentage = (*int32)(unsafe.Pointer(in.CurrentCPUUtilizationPercentage))
// WARNING: in.CurrentMetrics requires manual conversion: does not exist in peer-type
return nil
}
func Convert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus(in *autoscaling.HorizontalPodAutoscalerStatus, out *HorizontalPodAutoscalerStatus, s conversion.Scope) error {
return autoConvert_autoscaling_HorizontalPodAutoscalerStatus_To_v1_HorizontalPodAutoscalerStatus(in, out, s)
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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 {

143
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v1/zz_generated.deepcopy.go generated vendored
View file

@ -21,6 +21,7 @@ limitations under the License.
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"
@ -40,6 +41,14 @@ func RegisterDeepCopies(scheme *runtime.Scheme) error {
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{})},
@ -136,6 +145,140 @@ func DeepCopy_v1_HorizontalPodAutoscalerStatus(in interface{}, out interface{},
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
func DeepCopy_v1_Scale(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*Scale)

49
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v2alpha1/defaults.go generated vendored Normal file
View file

@ -0,0 +1,49 @@
/*
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/kubernetes/pkg/api/v1"
"k8s.io/kubernetes/pkg/apis/autoscaling"
)
func addDefaultingFuncs(scheme *runtime.Scheme) error {
return scheme.AddDefaultingFuncs(
SetDefaults_HorizontalPodAutoscaler,
)
}
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,
},
},
}
}
}

21
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v2alpha1/doc.go generated vendored Normal file
View file

@ -0,0 +1,21 @@
/*
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.
*/
// +k8s:deepcopy-gen=package,register
// +k8s:conversion-gen=k8s.io/kubernetes/pkg/apis/autoscaling
// +k8s:openapi-gen=true
package v2alpha1 // import "k8s.io/kubernetes/pkg/apis/autoscaling/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.kubernetes.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/apiserver/pkg/apis/example/v1/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: http://releases.k8s.io/HEAD/docs/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: http://releases.k8s.io/HEAD/docs/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: http://releases.k8s.io/HEAD/docs/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;
}
// 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;
}
// 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 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 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"}
var (
SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes, addDefaultingFuncs)
AddToScheme = SchemeBuilder.AddToScheme
)
// 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/kubernetes/pkg/api/v1"
)
// CrossVersionObjectReference contains enough information to let you identify the referred resource.
type CrossVersionObjectReference struct {
// Kind of the referent; More info: http://releases.k8s.io/HEAD/docs/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 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"`
}
// 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 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: http://releases.k8s.io/HEAD/docs/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: http://releases.k8s.io/HEAD/docs/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: http://releases.k8s.io/HEAD/docs/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: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata",
"spec": "spec is the specification for the behaviour of the autoscaler. More info: http://releases.k8s.io/HEAD/docs/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_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.",
}
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 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 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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@ -0,0 +1,387 @@
// +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"
v1 "k8s.io/apimachinery/pkg/apis/meta/v1"
conversion "k8s.io/apimachinery/pkg/conversion"
runtime "k8s.io/apimachinery/pkg/runtime"
api "k8s.io/kubernetes/pkg/api"
api_v1 "k8s.io/kubernetes/pkg/api/v1"
autoscaling "k8s.io/kubernetes/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_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
}
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
}
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
}
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
}
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_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
}
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
}
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
}
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
}
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 = (*v1.Time)(unsafe.Pointer(in.LastScaleTime))
out.CurrentReplicas = in.CurrentReplicas
out.DesiredReplicas = in.DesiredReplicas
out.CurrentMetrics = *(*[]autoscaling.MetricStatus)(unsafe.Pointer(&in.CurrentMetrics))
return nil
}
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 = (*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))
}
return nil
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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
}
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 = api_v1.ResourceName(in.Name)
out.TargetAverageUtilization = (*int32)(unsafe.Pointer(in.TargetAverageUtilization))
out.TargetAverageValue = (*resource.Quantity)(unsafe.Pointer(in.TargetAverageValue))
return nil
}
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
}
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 = api_v1.ResourceName(in.Name)
out.CurrentAverageUtilization = (*int32)(unsafe.Pointer(in.CurrentAverageUtilization))
out.CurrentAverageValue = in.CurrentAverageValue
return nil
}
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)
}

285
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/v2alpha1/zz_generated.deepcopy.go generated vendored Normal file
View file

@ -0,0 +1,285 @@
// +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_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{})},
)
}
func DeepCopy_v2alpha1_CrossVersionObjectReference(in interface{}, out interface{}, c *conversion.Cloner) error {
{
in := in.(*CrossVersionObjectReference)
out := out.(*CrossVersionObjectReference)
*out = *in
return nil
}
}
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
}
}
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
}
}
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
}
}
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
}
}
}
return nil
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}

48
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/validation/BUILD generated vendored
View file

@ -1,48 +0,0 @@
package(default_visibility = ["//visibility:public"])
licenses(["notice"])
load(
"@io_bazel_rules_go//go:def.bzl",
"go_library",
"go_test",
)
go_library(
name = "go_default_library",
srcs = ["validation.go"],
tags = ["automanaged"],
deps = [
"//pkg/api/validation:go_default_library",
"//pkg/api/validation/path:go_default_library",
"//pkg/apis/autoscaling:go_default_library",
"//pkg/apis/extensions/v1beta1:go_default_library",
"//pkg/controller/podautoscaler:go_default_library",
"//vendor:k8s.io/apimachinery/pkg/util/validation/field",
],
)
go_test(
name = "go_default_test",
srcs = ["validation_test.go"],
library = ":go_default_library",
tags = ["automanaged"],
deps = [
"//pkg/apis/autoscaling:go_default_library",
"//pkg/controller/podautoscaler:go_default_library",
"//vendor:k8s.io/apimachinery/pkg/apis/meta/v1",
],
)
filegroup(
name = "package-srcs",
srcs = glob(["**"]),
tags = ["automanaged"],
visibility = ["//visibility:private"],
)
filegroup(
name = "all-srcs",
srcs = [":package-srcs"],
tags = ["automanaged"],
)

129
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/validation/validation.go generated vendored
View file

@ -1,129 +0,0 @@
/*
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 validation
import (
"encoding/json"
"k8s.io/apimachinery/pkg/util/validation/field"
apivalidation "k8s.io/kubernetes/pkg/api/validation"
pathvalidation "k8s.io/kubernetes/pkg/api/validation/path"
"k8s.io/kubernetes/pkg/apis/autoscaling"
"k8s.io/kubernetes/pkg/apis/extensions/v1beta1"
"k8s.io/kubernetes/pkg/controller/podautoscaler"
)
func ValidateScale(scale *autoscaling.Scale) field.ErrorList {
allErrs := field.ErrorList{}
allErrs = append(allErrs, apivalidation.ValidateObjectMeta(&scale.ObjectMeta, true, apivalidation.NameIsDNSSubdomain, field.NewPath("metadata"))...)
if scale.Spec.Replicas < 0 {
allErrs = append(allErrs, field.Invalid(field.NewPath("spec", "replicas"), scale.Spec.Replicas, "must be greater than or equal to 0"))
}
return allErrs
}
// ValidateHorizontalPodAutoscaler can be used to check whether the given autoscaler name is valid.
// Prefix indicates this name will be used as part of generation, in which case trailing dashes are allowed.
var ValidateHorizontalPodAutoscalerName = apivalidation.ValidateReplicationControllerName
func validateHorizontalPodAutoscalerSpec(autoscaler autoscaling.HorizontalPodAutoscalerSpec, fldPath *field.Path) field.ErrorList {
allErrs := field.ErrorList{}
if autoscaler.MinReplicas != nil && *autoscaler.MinReplicas < 1 {
allErrs = append(allErrs, field.Invalid(fldPath.Child("minReplicas"), *autoscaler.MinReplicas, "must be greater than 0"))
}
if autoscaler.MaxReplicas < 1 {
allErrs = append(allErrs, field.Invalid(fldPath.Child("maxReplicas"), autoscaler.MaxReplicas, "must be greater than 0"))
}
if autoscaler.MinReplicas != nil && autoscaler.MaxReplicas < *autoscaler.MinReplicas {
allErrs = append(allErrs, field.Invalid(fldPath.Child("maxReplicas"), autoscaler.MaxReplicas, "must be greater than or equal to `minReplicas`"))
}
if autoscaler.TargetCPUUtilizationPercentage != nil && *autoscaler.TargetCPUUtilizationPercentage < 1 {
allErrs = append(allErrs, field.Invalid(fldPath.Child("targetCPUUtilizationPercentage"), autoscaler.TargetCPUUtilizationPercentage, "must be greater than 0"))
}
if refErrs := ValidateCrossVersionObjectReference(autoscaler.ScaleTargetRef, fldPath.Child("scaleTargetRef")); len(refErrs) > 0 {
allErrs = append(allErrs, refErrs...)
}
return allErrs
}
func ValidateCrossVersionObjectReference(ref autoscaling.CrossVersionObjectReference, fldPath *field.Path) field.ErrorList {
allErrs := field.ErrorList{}
if len(ref.Kind) == 0 {
allErrs = append(allErrs, field.Required(fldPath.Child("kind"), ""))
} else {
for _, msg := range pathvalidation.IsValidPathSegmentName(ref.Kind) {
allErrs = append(allErrs, field.Invalid(fldPath.Child("kind"), ref.Kind, msg))
}
}
if len(ref.Name) == 0 {
allErrs = append(allErrs, field.Required(fldPath.Child("name"), ""))
} else {
for _, msg := range pathvalidation.IsValidPathSegmentName(ref.Name) {
allErrs = append(allErrs, field.Invalid(fldPath.Child("name"), ref.Name, msg))
}
}
return allErrs
}
func validateHorizontalPodAutoscalerAnnotations(annotations map[string]string, fldPath *field.Path) field.ErrorList {
allErrs := field.ErrorList{}
if annotationValue, found := annotations[podautoscaler.HpaCustomMetricsTargetAnnotationName]; found {
// Try to parse the annotation
var targetList v1beta1.CustomMetricTargetList
if err := json.Unmarshal([]byte(annotationValue), &targetList); err != nil {
allErrs = append(allErrs, field.Invalid(fldPath.Child("annotations"), annotations, "failed to parse custom metrics target annotation"))
} else {
if len(targetList.Items) == 0 {
allErrs = append(allErrs, field.Required(fldPath.Child("annotations", "items"), "custom metrics target must not be empty"))
}
for _, target := range targetList.Items {
if target.Name == "" {
allErrs = append(allErrs, field.Required(fldPath.Child("annotations", "items", "name"), "missing custom metric target name"))
}
if target.TargetValue.MilliValue() <= 0 {
allErrs = append(allErrs, field.Invalid(fldPath.Child("annotations", "items", "value"), target.TargetValue, "custom metric target value must be greater than 0"))
}
}
}
}
return allErrs
}
func ValidateHorizontalPodAutoscaler(autoscaler *autoscaling.HorizontalPodAutoscaler) field.ErrorList {
allErrs := apivalidation.ValidateObjectMeta(&autoscaler.ObjectMeta, true, ValidateHorizontalPodAutoscalerName, field.NewPath("metadata"))
allErrs = append(allErrs, validateHorizontalPodAutoscalerSpec(autoscaler.Spec, field.NewPath("spec"))...)
allErrs = append(allErrs, validateHorizontalPodAutoscalerAnnotations(autoscaler.Annotations, field.NewPath("metadata"))...)
return allErrs
}
func ValidateHorizontalPodAutoscalerUpdate(newAutoscaler, oldAutoscaler *autoscaling.HorizontalPodAutoscaler) field.ErrorList {
allErrs := apivalidation.ValidateObjectMetaUpdate(&newAutoscaler.ObjectMeta, &oldAutoscaler.ObjectMeta, field.NewPath("metadata"))
allErrs = append(allErrs, validateHorizontalPodAutoscalerSpec(newAutoscaler.Spec, field.NewPath("spec"))...)
return allErrs
}
func ValidateHorizontalPodAutoscalerStatusUpdate(newAutoscaler, oldAutoscaler *autoscaling.HorizontalPodAutoscaler) field.ErrorList {
allErrs := apivalidation.ValidateObjectMetaUpdate(&newAutoscaler.ObjectMeta, &oldAutoscaler.ObjectMeta, field.NewPath("metadata"))
status := newAutoscaler.Status
allErrs = append(allErrs, apivalidation.ValidateNonnegativeField(int64(status.CurrentReplicas), field.NewPath("status", "currentReplicas"))...)
allErrs = append(allErrs, apivalidation.ValidateNonnegativeField(int64(status.DesiredReplicas), field.NewPath("status", "desiredReplicasa"))...)
return allErrs
}

338
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/validation/validation_test.go generated vendored
View file

@ -1,338 +0,0 @@
/*
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 validation
import (
"strings"
"testing"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/kubernetes/pkg/apis/autoscaling"
"k8s.io/kubernetes/pkg/controller/podautoscaler"
)
func TestValidateScale(t *testing.T) {
successCases := []autoscaling.Scale{
{
ObjectMeta: metav1.ObjectMeta{
Name: "frontend",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.ScaleSpec{
Replicas: 1,
},
},
{
ObjectMeta: metav1.ObjectMeta{
Name: "frontend",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.ScaleSpec{
Replicas: 10,
},
},
{
ObjectMeta: metav1.ObjectMeta{
Name: "frontend",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.ScaleSpec{
Replicas: 0,
},
},
}
for _, successCase := range successCases {
if errs := ValidateScale(&successCase); len(errs) != 0 {
t.Errorf("expected success: %v", errs)
}
}
errorCases := []struct {
scale autoscaling.Scale
msg string
}{
{
scale: autoscaling.Scale{
ObjectMeta: metav1.ObjectMeta{
Name: "frontend",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.ScaleSpec{
Replicas: -1,
},
},
msg: "must be greater than or equal to 0",
},
}
for _, c := range errorCases {
if errs := ValidateScale(&c.scale); len(errs) == 0 {
t.Errorf("expected failure for %s", c.msg)
} else if !strings.Contains(errs[0].Error(), c.msg) {
t.Errorf("unexpected error: %v, expected: %s", errs[0], c.msg)
}
}
}
func TestValidateHorizontalPodAutoscaler(t *testing.T) {
successCases := []autoscaling.HorizontalPodAutoscaler{
{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(70),
},
},
{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
Annotations: map[string]string{
podautoscaler.HpaCustomMetricsTargetAnnotationName: "{\"items\":[{\"name\":\"qps\",\"value\":\"20\"}]}",
},
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
}
for _, successCase := range successCases {
if errs := ValidateHorizontalPodAutoscaler(&successCase); len(errs) != 0 {
t.Errorf("expected success: %v", errs)
}
}
errorCases := []struct {
horizontalPodAutoscaler autoscaling.HorizontalPodAutoscaler
msg string
}{
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{Name: "myautoscaler", Namespace: metav1.NamespaceDefault},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{Name: "myrc"},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(70),
},
},
msg: "scaleTargetRef.kind: Required",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{Name: "myautoscaler", Namespace: metav1.NamespaceDefault},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{Kind: "..", Name: "myrc"},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(70),
},
},
msg: "scaleTargetRef.kind: Invalid",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{Name: "myautoscaler", Namespace: metav1.NamespaceDefault},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{Kind: "ReplicationController"},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(70),
},
},
msg: "scaleTargetRef.name: Required",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{Name: "myautoscaler", Namespace: metav1.NamespaceDefault},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{Kind: "ReplicationController", Name: ".."},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(70),
},
},
msg: "scaleTargetRef.name: Invalid",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{},
MinReplicas: newInt32(-1),
MaxReplicas: 5,
},
},
msg: "must be greater than 0",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{},
MinReplicas: newInt32(7),
MaxReplicas: 5,
},
},
msg: "must be greater than or equal to `minReplicas`",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{},
MinReplicas: newInt32(1),
MaxReplicas: 5,
TargetCPUUtilizationPercentage: newInt32(-70),
},
},
msg: "must be greater than 0",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
Annotations: map[string]string{
podautoscaler.HpaCustomMetricsTargetAnnotationName: "broken",
},
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
msg: "failed to parse custom metrics target annotation",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
Annotations: map[string]string{
podautoscaler.HpaCustomMetricsTargetAnnotationName: "{}",
},
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
msg: "custom metrics target must not be empty",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
Annotations: map[string]string{
podautoscaler.HpaCustomMetricsTargetAnnotationName: "{\"items\":[{\"value\":\"20\"}]}",
},
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
msg: "missing custom metric target name",
},
{
horizontalPodAutoscaler: autoscaling.HorizontalPodAutoscaler{
ObjectMeta: metav1.ObjectMeta{
Name: "myautoscaler",
Namespace: metav1.NamespaceDefault,
Annotations: map[string]string{
podautoscaler.HpaCustomMetricsTargetAnnotationName: "{\"items\":[{\"name\":\"qps\",\"value\":\"0\"}]}",
},
},
Spec: autoscaling.HorizontalPodAutoscalerSpec{
ScaleTargetRef: autoscaling.CrossVersionObjectReference{
Kind: "ReplicationController",
Name: "myrc",
},
MinReplicas: newInt32(1),
MaxReplicas: 5,
},
},
msg: "custom metric target value must be greater than 0",
},
}
for _, c := range errorCases {
errs := ValidateHorizontalPodAutoscaler(&c.horizontalPodAutoscaler)
if len(errs) == 0 {
t.Errorf("expected failure for %q", c.msg)
} else if !strings.Contains(errs[0].Error(), c.msg) {
t.Errorf("unexpected error: %q, expected: %q", errs[0], c.msg)
}
}
}
func newInt32(val int32) *int32 {
p := new(int32)
*p = val
return p
}

163
vendor/k8s.io/kubernetes/pkg/apis/autoscaling/zz_generated.deepcopy.go generated vendored
View file

@ -21,6 +21,7 @@ limitations under the License.
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"
@ -40,6 +41,14 @@ func RegisterDeepCopies(scheme *runtime.Scheme) error {
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{})},
@ -103,10 +112,14 @@ func DeepCopy_autoscaling_HorizontalPodAutoscalerSpec(in interface{}, out interf
*out = new(int32)
**out = **in
}
if in.TargetCPUUtilizationPercentage != nil {
in, out := &in.TargetCPUUtilizationPercentage, &out.TargetCPUUtilizationPercentage
*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
}
@ -127,11 +140,149 @@ func DeepCopy_autoscaling_HorizontalPodAutoscalerStatus(in interface{}, out inte
*out = new(v1.Time)
**out = (*in).DeepCopy()
}
if in.CurrentCPUUtilizationPercentage != nil {
in, out := &in.CurrentCPUUtilizationPercentage, &out.CurrentCPUUtilizationPercentage
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
}
}
}
return nil
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}
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
}
}