v1alpha1

type HorizontalScalingConstraints struct {
	// Lower limit for the number of pods that can be set by the autoscaler, default 1.
	// +optional
	MinReplicas *int32 `json:"minReplicas,omitempty"`
	// Upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than
	// MinReplicas.
	MaxReplicas *int32 `json:"maxReplicas"`
	// Behavior configures the scaling behavior of the target in both Up and Down direction
	// (scaleUp and scaleDown fields respectively).
	// +optional
	Behavior *autoscalingv2.HorizontalPodAutoscalerBehavior `json:"behavior,omitempty"`
}

type MultidimPodAutoscaler struct {
	metav1.TypeMeta `json:",inline"`
	// Standard object metadata. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#metadata
	// +optional
	metav1.ObjectMeta `json:"metadata,omitempty"`

	// Specification of the behavior of the autoscaler.
	// More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status.
	Spec MultidimPodAutoscalerSpec `json:"spec"`

	// Current information about the autoscaler.
	// +optional
	Status MultidimPodAutoscalerStatus `json:"status,omitempty"`
}

type MultidimPodAutoscalerCondition struct {
	// type describes the current condition
	Type MultidimPodAutoscalerConditionType `json:"type"`
	// status is the status of the condition (True, False, Unknown)
	Status v1.ConditionStatus `json:"status"`
	// lastTransitionTime is the last time the condition transitioned from one status to another
	// +optional
	LastTransitionTime metav1.Time `json:"lastTransitionTime,omitempty"`
	// reason is the reason for the condition's last transition.
	// +optional
	Reason string `json:"reason,omitempty"`
	// message is a human-readable explanation containing details about the transition
	// +optional
	Message string `json:"message,omitempty"`
}

type MultidimPodAutoscalerConditionType string

type MultidimPodAutoscalerList struct {
	metav1.TypeMeta `json:",inline"`
	// metadata is the standard list metadata.
	// +optional
	metav1.ListMeta `json:"metadata"`

	// items is the list of Multidimensional Pod Autoscaler objects.
	Items []MultidimPodAutoscaler `json:"items"`
}

type MultidimPodAutoscalerRecommenderSelector struct {
	// Name of the recommender responsible for generating recommendation for this object.
	Name string `json:"name"`
}

type MultidimPodAutoscalerSpec struct {
	// ScaleTargetRef points to the controller managing the set of pods for the autoscaler to
	// control, e.g., Deployment, StatefulSet. MultidimPodAutoscaler can be targeted at controller
	// implementing scale subresource (the pod set is retrieved from the controller's ScaleStatus
	// or some well known controllers (e.g., for DaemonSet the pod set is read from the
	// controller's spec). If MultidimPodAutoscaler cannot use specified target it will report
	// the ConfigUnsupported condition.
	ScaleTargetRef *autoscaling.CrossVersionObjectReference `json:"scaleTargetRef"`

	// Describes the rules on how changes are applied to the pods.
	// If not specified, all fields in the `PodUpdatePolicy` are set to their default values.
	// +optional
	UpdatePolicy *PodUpdatePolicy `json:"updatePolicy,omitempty"`

	// Contains the specifications about the metric type and target in terms of resource
	// utilization or workload performance. See the individual metric source types for
	// more information about how each type of metric must respond.
	// +listType=atomic
	// +optional
	Metrics []autoscalingv2.MetricSpec `json:"metrics,omitempty"`

	// Describes the constraints for the number of replicas.
	Constraints *HorizontalScalingConstraints `json:"constraints,omitempty"`
	// Controls how the VPA autoscaler computes recommended resources.
	// The resource policy is also used to set constraints on the recommendations for individual
	// containers. If not specified, the autoscaler computes recommended resources for all
	// containers in the pod, without additional constraints.
	// +optional
	ResourcePolicy *vpa.PodResourcePolicy `json:"resourcePolicy,omitempty"`

	// Recommender responsible for generating recommendation for the set of pods and the deployment.
	// List should be empty (then the default recommender will be used) or contain exactly one
	// recommender.
	// +optional
	Recommenders []*MultidimPodAutoscalerRecommenderSelector `json:"recommenders,omitempty"`
}

type MultidimPodAutoscalerStatus struct {
	// Last time the MultidimPodAutoscaler scaled the number of pods and resizes containers;
	// Used by the autoscaler to control how often scaling operations are performed.
	// +optional
	LastScaleTime *metav1.Time `json:"lastScaleTime,omitempty"`

	// Current number of replicas of pods managed by this autoscaler.
	CurrentReplicas int32 `json:"currentReplicas"`

	// Desired number of replicas of pods managed by this autoscaler.
	DesiredReplicas int32 `json:"desiredReplicas"`

	// The most recently computed amount of resources for each controlled pod recommended by the
	// autoscaler.
	// +optional
	Recommendation *vpa.RecommendedPodResources `json:"recommendation,omitempty"`

	// The last read state of the metrics used by this autoscaler.
	// +listType=atomic
	// +optional
	CurrentMetrics []autoscalingv2.MetricStatus `json:"currentMetrics"`

	// Conditions is the set of conditions required for this autoscaler to scale its target, and
	// indicates whether or not those conditions are met.
	// +optional
	// +patchMergeKey=type
	// +patchStrategy=merge
	Conditions []MultidimPodAutoscalerCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type"`
}

type PodUpdatePolicy struct {
	// Controls when autoscaler applies changes to the pod resources.
	// The default is 'Auto'.
	// +optional
	UpdateMode *vpa.UpdateMode `json:"updateMode,omitempty"`
}