v1beta1

type EncryptionSpec struct {
	// Required. The Cloud KMS resource identifier of the customer managed
	//  encryption key used to protect a resource.
	//  The key needs to be in the same region as where the compute resource is
	//  created.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.EncryptionSpec.kms_key_name
	// +required
	KMSKeyRef *refsv1beta1.KMSCryptoKeyRef `json:"kmsKeyRef,omitempty"`
}

type Featurestore_OnlineServingConfig struct {
	// The number of nodes for the online store. The number of nodes doesn't
	//  scale automatically, but you can manually update the number of
	//  nodes. If set to 0, the featurestore will not have an
	//  online store and cannot be used for online serving.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.fixed_node_count
	FixedNodeCount *int32 `json:"fixedNodeCount,omitempty"`

	// Online serving scaling configuration.
	//  Only one of `fixed_node_count` and `scaling` can be set. Setting one will
	//  reset the other.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.scaling
	Scaling *Featurestore_OnlineServingConfig_Scaling `json:"scaling,omitempty"`
}

type Featurestore_OnlineServingConfig_Scaling struct {
	// Required. The minimum number of nodes to scale down to. Must be greater
	//  than or equal to 1.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.min_node_count
	MinNodeCount *int32 `json:"minNodeCount,omitempty"`

	// The maximum number of nodes to scale up to. Must be greater than
	//  min_node_count, and less than or equal to 10 times of 'min_node_count'.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.max_node_count
	MaxNodeCount *int32 `json:"maxNodeCount,omitempty"`

	// Optional. The cpu utilization that the Autoscaler should be trying to
	//  achieve. This number is on a scale from 0 (no utilization) to 100
	//  (total utilization), and is limited between 10 and 80. When a cluster's
	//  CPU utilization exceeds the target that you have set, Bigtable
	//  immediately adds nodes to the cluster. When CPU utilization is
	//  substantially lower than the target, Bigtable removes nodes. If not set
	//  or set to 0, default to 50.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.cpu_utilization_target
	CPUUtilizationTarget *int32 `json:"cpuUtilizationTarget,omitempty"`
}

type MetadataStore struct {

	// Customer-managed encryption key spec for a Metadata Store. If set, this
	//  Metadata Store and all sub-resources of this Metadata Store are secured
	//  using this key.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.encryption_spec
	EncryptionSpec *EncryptionSpec `json:"encryptionSpec,omitempty"`

	// Description of the MetadataStore.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.description
	Description *string `json:"description,omitempty"`

	// Optional. Dataplex integration settings.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.dataplex_config
	DataplexConfig *MetadataStore_DataplexConfig `json:"dataplexConfig,omitempty"`
}

type MetadataStoreIdentity struct {
	// contains filtered or unexported fields
}

type MetadataStoreParent struct {
	ProjectID string
	Location  string
}

type MetadataStoreRef struct {
	// A reference to an externally managed VertexAIMetadataStore resource.
	// Should be in the format "projects/{{projectID}}/locations/{{location}}/metadatastores/{{metadatastoreID}}".
	External string `json:"external,omitempty"`

	// The name of a VertexAIMetadataStore resource.
	Name string `json:"name,omitempty"`

	// The namespace of a VertexAIMetadataStore resource.
	Namespace string `json:"namespace,omitempty"`
}

type MetadataStore_DataplexConfig struct {
	// Optional. Whether or not Data Lineage synchronization is enabled for
	//  Vertex Pipelines.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.DataplexConfig.enabled_pipelines_lineage
	EnabledPipelinesLineage *bool `json:"enabledPipelinesLineage,omitempty"`
}

type MetadataStore_MetadataStoreState struct {
	// The disk utilization of the MetadataStore in bytes.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.MetadataStoreState.disk_utilization_bytes
	DiskUtilizationBytes *int64 `json:"diskUtilizationBytes,omitempty"`
}

type VertexAIMetadataStore struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`

	// +required
	Spec   VertexAIMetadataStoreSpec   `json:"spec,omitempty"`
	Status VertexAIMetadataStoreStatus `json:"status,omitempty"`
}

type VertexAIMetadataStoreList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	Items           []VertexAIMetadataStore `json:"items"`
}

type VertexAIMetadataStoreObservedState struct {
	// Output only. The resource name of the MetadataStore instance.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.name
	Name *string `json:"name,omitempty"`

	// Output only. Timestamp when this MetadataStore was created.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.create_time
	CreateTime *string `json:"createTime,omitempty"`

	// Output only. Timestamp when this MetadataStore was last updated.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.update_time
	UpdateTime *string `json:"updateTime,omitempty"`

	// Output only. State information of the MetadataStore.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.state
	State *MetadataStore_MetadataStoreState `json:"state,omitempty"`
}

type VertexAIMetadataStoreSpec struct {
	// Customer-managed encryption key spec for a Metadata Store. If set, this
	// Metadata Store and all sub-resources of this Metadata Store are secured
	// using this key.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.encryption_spec
	EncryptionSpec *EncryptionSpec `json:"encryptionSpec,omitempty"`

	// Optional. Dataplex integration settings.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.dataplex_config
	DataplexConfig *MetadataStore_DataplexConfig `json:"dataplexConfig,omitempty"`

	// Description of the MetadataStore.
	// +kcc:proto:field=google.cloud.aiplatform.v1beta1.MetadataStore.description
	Description *string `json:"description,omitempty"`

	// The region of the Metadata Store. eg us-central1.
	Region string `json:"region,omitempty"`

	// The project that this resource belongs to.
	ProjectRef *refsv1beta1.ProjectRef `json:"projectRef,omitempty"`

	// The VertexAIMetadataStore name. If not given, the metadata.name will be used.
	ResourceID *string `json:"resourceID,omitempty"`
}

type VertexAIMetadataStoreStatus struct {
	/* Conditions represent the latest available observations of the
	   object's current state. */
	Conditions []v1alpha1.Condition `json:"conditions,omitempty"`

	// ObservedGeneration is the generation of the resource that was most recently observed by the Config Connector controller. If this is equal to metadata.generation, then that means that the current reported status reflects the most recent desired state of the resource.
	ObservedGeneration *int64 `json:"observedGeneration,omitempty"`

	// A unique specifier for the VertexAIMetadataStore resource in GCP.
	ExternalRef *string `json:"externalRef,omitempty"`

	// ObservedState is the state of the resource as most recently observed in GCP.
	ObservedState *VertexAIMetadataStoreObservedState `json:"observedState,omitempty"`
}