// Copyright 2025 Google LLC
//
// 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.

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.36.11
// 	protoc        v6.33.2
// source: google/cloud/aiplatform/v1/migration_service.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"
	unsafe "unsafe"

	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
	_ "google.golang.org/genproto/googleapis/api/annotations"
	status "google.golang.org/genproto/googleapis/rpc/status"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
)

const (
	// Verify that this generated code is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
	// Verify that runtime/protoimpl is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)

// Request message for
// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
type SearchMigratableResourcesRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The location that the migratable resources should be searched
	// from. It's the Vertex AI location that the resources can be migrated to,
	// not the resources' original location. Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard page size.
	// The default and maximum value is 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard page token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A filter for your search. You can use the following types of filters:
	//
	//   - Resource type filters. The following strings filter for a specific type
	//     of [MigratableResource][google.cloud.aiplatform.v1.MigratableResource]:
	//   - `ml_engine_model_version:*`
	//   - `automl_model:*`
	//   - `automl_dataset:*`
	//   - `data_labeling_dataset:*`
	//   - "Migrated or not" filters. The following strings filter for resources
	//     that either have or have not already been migrated:
	//   - `last_migrate_time:*` filters for migrated resources.
	//   - `NOT last_migrate_time:*` filters for not yet migrated resources.
	Filter        string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchMigratableResourcesRequest) Reset() {
	*x = SearchMigratableResourcesRequest{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *SearchMigratableResourcesRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*SearchMigratableResourcesRequest) ProtoMessage() {}

func (x *SearchMigratableResourcesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchMigratableResourcesRequest.ProtoReflect.Descriptor instead.
func (*SearchMigratableResourcesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{0}
}

func (x *SearchMigratableResourcesRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *SearchMigratableResourcesRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *SearchMigratableResourcesRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *SearchMigratableResourcesRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

// Response message for
// [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources].
type SearchMigratableResourcesResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// All migratable resources that can be migrated to the
	// location specified in the request.
	MigratableResources []*MigratableResource `protobuf:"bytes,1,rep,name=migratable_resources,json=migratableResources,proto3" json:"migratable_resources,omitempty"`
	// The standard next-page token.
	// The migratable_resources may not fill page_size in
	// SearchMigratableResourcesRequest even when there are subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchMigratableResourcesResponse) Reset() {
	*x = SearchMigratableResourcesResponse{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *SearchMigratableResourcesResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*SearchMigratableResourcesResponse) ProtoMessage() {}

func (x *SearchMigratableResourcesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[1]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchMigratableResourcesResponse.ProtoReflect.Descriptor instead.
func (*SearchMigratableResourcesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{1}
}

func (x *SearchMigratableResourcesResponse) GetMigratableResources() []*MigratableResource {
	if x != nil {
		return x.MigratableResources
	}
	return nil
}

func (x *SearchMigratableResourcesResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The location of the migrated resource will live in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request messages specifying the resources to migrate.
	// They must be in the same location as the destination.
	// Up to 50 resources can be migrated in one batch.
	MigrateResourceRequests []*MigrateResourceRequest `protobuf:"bytes,2,rep,name=migrate_resource_requests,json=migrateResourceRequests,proto3" json:"migrate_resource_requests,omitempty"`
	unknownFields           protoimpl.UnknownFields
	sizeCache               protoimpl.SizeCache
}

func (x *BatchMigrateResourcesRequest) Reset() {
	*x = BatchMigrateResourcesRequest{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[2]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *BatchMigrateResourcesRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*BatchMigrateResourcesRequest) ProtoMessage() {}

func (x *BatchMigrateResourcesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[2]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchMigrateResourcesRequest.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{2}
}

func (x *BatchMigrateResourcesRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *BatchMigrateResourcesRequest) GetMigrateResourceRequests() []*MigrateResourceRequest {
	if x != nil {
		return x.MigrateResourceRequests
	}
	return nil
}

// Config of migrating one resource from automl.googleapis.com,
// datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.
type MigrateResourceRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Types that are valid to be assigned to Request:
	//
	//	*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
	//	*MigrateResourceRequest_MigrateAutomlModelConfig_
	//	*MigrateResourceRequest_MigrateAutomlDatasetConfig_
	//	*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
	Request       isMigrateResourceRequest_Request `protobuf_oneof:"request"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *MigrateResourceRequest) Reset() {
	*x = MigrateResourceRequest{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[3]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest) ProtoMessage() {}

func (x *MigrateResourceRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[3]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3}
}

func (x *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request {
	if x != nil {
		return x.Request
	}
	return nil
}

func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig {
	if x != nil {
		if x, ok := x.Request.(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_); ok {
			return x.MigrateMlEngineModelVersionConfig
		}
	}
	return nil
}

func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig {
	if x != nil {
		if x, ok := x.Request.(*MigrateResourceRequest_MigrateAutomlModelConfig_); ok {
			return x.MigrateAutomlModelConfig
		}
	}
	return nil
}

func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig {
	if x != nil {
		if x, ok := x.Request.(*MigrateResourceRequest_MigrateAutomlDatasetConfig_); ok {
			return x.MigrateAutomlDatasetConfig
		}
	}
	return nil
}

func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig {
	if x != nil {
		if x, ok := x.Request.(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_); ok {
			return x.MigrateDataLabelingDatasetConfig
		}
	}
	return nil
}

type isMigrateResourceRequest_Request interface {
	isMigrateResourceRequest_Request()
}

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ struct {
	// Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
	MigrateMlEngineModelVersionConfig *MigrateResourceRequest_MigrateMlEngineModelVersionConfig `protobuf:"bytes,1,opt,name=migrate_ml_engine_model_version_config,json=migrateMlEngineModelVersionConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateAutomlModelConfig_ struct {
	// Config for migrating Model in automl.googleapis.com to Vertex AI's
	// Model.
	MigrateAutomlModelConfig *MigrateResourceRequest_MigrateAutomlModelConfig `protobuf:"bytes,2,opt,name=migrate_automl_model_config,json=migrateAutomlModelConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ struct {
	// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
	// Dataset.
	MigrateAutomlDatasetConfig *MigrateResourceRequest_MigrateAutomlDatasetConfig `protobuf:"bytes,3,opt,name=migrate_automl_dataset_config,json=migrateAutomlDatasetConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ struct {
	// Config for migrating Dataset in datalabeling.googleapis.com to
	// Vertex AI's Dataset.
	MigrateDataLabelingDatasetConfig *MigrateResourceRequest_MigrateDataLabelingDatasetConfig `protobuf:"bytes,4,opt,name=migrate_data_labeling_dataset_config,json=migrateDataLabelingDatasetConfig,proto3,oneof"`
}

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_) isMigrateResourceRequest_Request() {
}

func (*MigrateResourceRequest_MigrateAutomlModelConfig_) isMigrateResourceRequest_Request() {}

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig_) isMigrateResourceRequest_Request() {}

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_) isMigrateResourceRequest_Request() {}

// Response message for
// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Successfully migrated resources.
	MigrateResourceResponses []*MigrateResourceResponse `protobuf:"bytes,1,rep,name=migrate_resource_responses,json=migrateResourceResponses,proto3" json:"migrate_resource_responses,omitempty"`
	unknownFields            protoimpl.UnknownFields
	sizeCache                protoimpl.SizeCache
}

func (x *BatchMigrateResourcesResponse) Reset() {
	*x = BatchMigrateResourcesResponse{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[4]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *BatchMigrateResourcesResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*BatchMigrateResourcesResponse) ProtoMessage() {}

func (x *BatchMigrateResourcesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[4]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchMigrateResourcesResponse.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{4}
}

func (x *BatchMigrateResourcesResponse) GetMigrateResourceResponses() []*MigrateResourceResponse {
	if x != nil {
		return x.MigrateResourceResponses
	}
	return nil
}

// Describes a successfully migrated resource.
type MigrateResourceResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// After migration, the resource name in Vertex AI.
	//
	// Types that are valid to be assigned to MigratedResource:
	//
	//	*MigrateResourceResponse_Dataset
	//	*MigrateResourceResponse_Model
	MigratedResource isMigrateResourceResponse_MigratedResource `protobuf_oneof:"migrated_resource"`
	// Before migration, the identifier in ml.googleapis.com,
	// automl.googleapis.com or datalabeling.googleapis.com.
	MigratableResource *MigratableResource `protobuf:"bytes,3,opt,name=migratable_resource,json=migratableResource,proto3" json:"migratable_resource,omitempty"`
	unknownFields      protoimpl.UnknownFields
	sizeCache          protoimpl.SizeCache
}

func (x *MigrateResourceResponse) Reset() {
	*x = MigrateResourceResponse{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[5]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceResponse) ProtoMessage() {}

func (x *MigrateResourceResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[5]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceResponse.ProtoReflect.Descriptor instead.
func (*MigrateResourceResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{5}
}

func (x *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource {
	if x != nil {
		return x.MigratedResource
	}
	return nil
}

func (x *MigrateResourceResponse) GetDataset() string {
	if x != nil {
		if x, ok := x.MigratedResource.(*MigrateResourceResponse_Dataset); ok {
			return x.Dataset
		}
	}
	return ""
}

func (x *MigrateResourceResponse) GetModel() string {
	if x != nil {
		if x, ok := x.MigratedResource.(*MigrateResourceResponse_Model); ok {
			return x.Model
		}
	}
	return ""
}

func (x *MigrateResourceResponse) GetMigratableResource() *MigratableResource {
	if x != nil {
		return x.MigratableResource
	}
	return nil
}

type isMigrateResourceResponse_MigratedResource interface {
	isMigrateResourceResponse_MigratedResource()
}

type MigrateResourceResponse_Dataset struct {
	// Migrated Dataset's resource name.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3,oneof"`
}

type MigrateResourceResponse_Model struct {
	// Migrated Model's resource name.
	Model string `protobuf:"bytes,2,opt,name=model,proto3,oneof"`
}

func (*MigrateResourceResponse_Dataset) isMigrateResourceResponse_MigratedResource() {}

func (*MigrateResourceResponse_Model) isMigrateResourceResponse_MigratedResource() {}

// Runtime operation information for
// [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesOperationMetadata struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Partial results that reflect the latest migration operation progress.
	PartialResults []*BatchMigrateResourcesOperationMetadata_PartialResult `protobuf:"bytes,2,rep,name=partial_results,json=partialResults,proto3" json:"partial_results,omitempty"`
	unknownFields  protoimpl.UnknownFields
	sizeCache      protoimpl.SizeCache
}

func (x *BatchMigrateResourcesOperationMetadata) Reset() {
	*x = BatchMigrateResourcesOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[6]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *BatchMigrateResourcesOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage() {}

func (x *BatchMigrateResourcesOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[6]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchMigrateResourcesOperationMetadata.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{6}
}

func (x *BatchMigrateResourcesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

func (x *BatchMigrateResourcesOperationMetadata) GetPartialResults() []*BatchMigrateResourcesOperationMetadata_PartialResult {
	if x != nil {
		return x.PartialResults
	}
	return nil
}

// Config for migrating version in ml.googleapis.com to Vertex AI's Model.
type MigrateResourceRequest_MigrateMlEngineModelVersionConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The ml.googleapis.com endpoint that this model version should
	// be migrated from. Example values:
	//
	// * ml.googleapis.com
	//
	// * us-centrall-ml.googleapis.com
	//
	// * europe-west4-ml.googleapis.com
	//
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. Full resource name of ml engine model version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// Required. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	unknownFields    protoimpl.UnknownFields
	sizeCache        protoimpl.SizeCache
}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset() {
	*x = MigrateResourceRequest_MigrateMlEngineModelVersionConfig{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[7]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage() {}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[7]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest_MigrateMlEngineModelVersionConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3, 0}
}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint() string {
	if x != nil {
		return x.Endpoint
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion() string {
	if x != nil {
		return x.ModelVersion
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName() string {
	if x != nil {
		return x.ModelDisplayName
	}
	return ""
}

// Config for migrating Model in automl.googleapis.com to Vertex AI's Model.
type MigrateResourceRequest_MigrateAutomlModelConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,2,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	unknownFields    protoimpl.UnknownFields
	sizeCache        protoimpl.SizeCache
}

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset() {
	*x = MigrateResourceRequest_MigrateAutomlModelConfig{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[8]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage() {}

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[8]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest_MigrateAutomlModelConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3, 1}
}

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModel() string {
	if x != nil {
		return x.Model
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName() string {
	if x != nil {
		return x.ModelDisplayName
	}
	return ""
}

// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
// Dataset.
type MigrateResourceRequest_MigrateAutomlDatasetConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	unknownFields      protoimpl.UnknownFields
	sizeCache          protoimpl.SizeCache
}

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset() {
	*x = MigrateResourceRequest_MigrateAutomlDatasetConfig{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[9]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage() {}

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[9]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest_MigrateAutomlDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3, 2}
}

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset() string {
	if x != nil {
		return x.Dataset
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName() string {
	if x != nil {
		return x.DatasetDisplayName
	}
	return ""
}

// Config for migrating Dataset in datalabeling.googleapis.com to Vertex
// AI's Dataset.
type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. Full resource name of data labeling Dataset.
	// Format:
	// `projects/{project}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Optional. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// Optional. Configs for migrating AnnotatedDataset in
	// datalabeling.googleapis.com to Vertex AI's SavedQuery. The specified
	// AnnotatedDatasets have to belong to the datalabeling Dataset.
	MigrateDataLabelingAnnotatedDatasetConfigs []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig `protobuf:"bytes,3,rep,name=migrate_data_labeling_annotated_dataset_configs,json=migrateDataLabelingAnnotatedDatasetConfigs,proto3" json:"migrate_data_labeling_annotated_dataset_configs,omitempty"`
	unknownFields                              protoimpl.UnknownFields
	sizeCache                                  protoimpl.SizeCache
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset() {
	*x = MigrateResourceRequest_MigrateDataLabelingDatasetConfig{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[10]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage() {}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[10]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3, 3}
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset() string {
	if x != nil {
		return x.Dataset
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName() string {
	if x != nil {
		return x.DatasetDisplayName
	}
	return ""
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs() []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig {
	if x != nil {
		return x.MigrateDataLabelingAnnotatedDatasetConfigs
	}
	return nil
}

// Config for migrating AnnotatedDataset in datalabeling.googleapis.com to
// Vertex AI's SavedQuery.
type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	unknownFields    protoimpl.UnknownFields
	sizeCache        protoimpl.SizeCache
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset() {
	*x = MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[11]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage() {
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[11]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig.ProtoReflect.Descriptor instead.
func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{3, 3, 0}
}

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset() string {
	if x != nil {
		return x.AnnotatedDataset
	}
	return ""
}

// Represents a partial result in batch migration operation for one
// [MigrateResourceRequest][google.cloud.aiplatform.v1.MigrateResourceRequest].
type BatchMigrateResourcesOperationMetadata_PartialResult struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// If the resource's migration is ongoing, none of the result will be set.
	// If the resource's migration is finished, either error or one of the
	// migrated resource name will be filled.
	//
	// Types that are valid to be assigned to Result:
	//
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Error
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Model
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
	Result isBatchMigrateResourcesOperationMetadata_PartialResult_Result `protobuf_oneof:"result"`
	// It's the same as the value in
	// [BatchMigrateResourcesRequest.migrate_resource_requests][google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.migrate_resource_requests].
	Request       *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset() {
	*x = BatchMigrateResourcesOperationMetadata_PartialResult{}
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[12]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage() {}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[12]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.
func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP(), []int{6, 0}
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result {
	if x != nil {
		return x.Result
	}
	return nil
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status {
	if x != nil {
		if x, ok := x.Result.(*BatchMigrateResourcesOperationMetadata_PartialResult_Error); ok {
			return x.Error
		}
	}
	return nil
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string {
	if x != nil {
		if x, ok := x.Result.(*BatchMigrateResourcesOperationMetadata_PartialResult_Model); ok {
			return x.Model
		}
	}
	return ""
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string {
	if x != nil {
		if x, ok := x.Result.(*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset); ok {
			return x.Dataset
		}
	}
	return ""
}

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest() *MigrateResourceRequest {
	if x != nil {
		return x.Request
	}
	return nil
}

type isBatchMigrateResourcesOperationMetadata_PartialResult_Result interface {
	isBatchMigrateResourcesOperationMetadata_PartialResult_Result()
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Error struct {
	// The error result of the migration request in case of failure.
	Error *status.Status `protobuf:"bytes,2,opt,name=error,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Model struct {
	// Migrated model resource name.
	Model string `protobuf:"bytes,3,opt,name=model,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset struct {
	// Migrated dataset resource name.
	Dataset string `protobuf:"bytes,4,opt,name=dataset,proto3,oneof"`
}

func (*BatchMigrateResourcesOperationMetadata_PartialResult_Error) isBatchMigrateResourcesOperationMetadata_PartialResult_Result() {
}

func (*BatchMigrateResourcesOperationMetadata_PartialResult_Model) isBatchMigrateResourcesOperationMetadata_PartialResult_Result() {
}

func (*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset) isBatchMigrateResourcesOperationMetadata_PartialResult_Result() {
}

var File_google_cloud_aiplatform_v1_migration_service_proto protoreflect.FileDescriptor

const file_google_cloud_aiplatform_v1_migration_service_proto_rawDesc = "" +
	"\n" +
	"2google/cloud/aiplatform/v1/migration_service.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a4google/cloud/aiplatform/v1/migratable_resource.proto\x1a*google/cloud/aiplatform/v1/operation.proto\x1a#google/longrunning/operations.proto\x1a\x17google/rpc/status.proto\"\xb9\x01\n" +
	" SearchMigratableResourcesRequest\x12A\n" +
	"\x06parent\x18\x01 \x01(\tB)\xe0A\x02\xfaA#\n" +
	"!locations.googleapis.com/LocationR\x06parent\x12\x1b\n" +
	"\tpage_size\x18\x02 \x01(\x05R\bpageSize\x12\x1d\n" +
	"\n" +
	"page_token\x18\x03 \x01(\tR\tpageToken\x12\x16\n" +
	"\x06filter\x18\x04 \x01(\tR\x06filter\"\xae\x01\n" +
	"!SearchMigratableResourcesResponse\x12a\n" +
	"\x14migratable_resources\x18\x01 \x03(\v2..google.cloud.aiplatform.v1.MigratableResourceR\x13migratableResources\x12&\n" +
	"\x0fnext_page_token\x18\x02 \x01(\tR\rnextPageToken\"\xd6\x01\n" +
	"\x1cBatchMigrateResourcesRequest\x12A\n" +
	"\x06parent\x18\x01 \x01(\tB)\xe0A\x02\xfaA#\n" +
	"!locations.googleapis.com/LocationR\x06parent\x12s\n" +
	"\x19migrate_resource_requests\x18\x02 \x03(\v22.google.cloud.aiplatform.v1.MigrateResourceRequestB\x03\xe0A\x02R\x17migrateResourceRequests\"\x9d\r\n" +
	"\x16MigrateResourceRequest\x12\xa9\x01\n" +
	"&migrate_ml_engine_model_version_config\x18\x01 \x01(\v2T.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfigH\x00R!migrateMlEngineModelVersionConfig\x12\x8c\x01\n" +
	"\x1bmigrate_automl_model_config\x18\x02 \x01(\v2K.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfigH\x00R\x18migrateAutomlModelConfig\x12\x92\x01\n" +
	"\x1dmigrate_automl_dataset_config\x18\x03 \x01(\v2M.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfigH\x00R\x1amigrateAutomlDatasetConfig\x12\xa5\x01\n" +
	"$migrate_data_labeling_dataset_config\x18\x04 \x01(\v2S.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfigH\x00R migrateDataLabelingDatasetConfig\x1a\xbf\x01\n" +
	"!MigrateMlEngineModelVersionConfig\x12\x1f\n" +
	"\bendpoint\x18\x01 \x01(\tB\x03\xe0A\x02R\bendpoint\x12F\n" +
	"\rmodel_version\x18\x02 \x01(\tB!\xe0A\x02\xfaA\x1b\n" +
	"\x19ml.googleapis.com/VersionR\fmodelVersion\x121\n" +
	"\x12model_display_name\x18\x03 \x01(\tB\x03\xe0A\x02R\x10modelDisplayName\x1a\x88\x01\n" +
	"\x18MigrateAutomlModelConfig\x129\n" +
	"\x05model\x18\x01 \x01(\tB#\xe0A\x02\xfaA\x1d\n" +
	"\x1bautoml.googleapis.com/ModelR\x05model\x121\n" +
	"\x12model_display_name\x18\x02 \x01(\tB\x03\xe0A\x01R\x10modelDisplayName\x1a\x94\x01\n" +
	"\x1aMigrateAutomlDatasetConfig\x12?\n" +
	"\adataset\x18\x01 \x01(\tB%\xe0A\x02\xfaA\x1f\n" +
	"\x1dautoml.googleapis.com/DatasetR\adataset\x125\n" +
	"\x14dataset_display_name\x18\x02 \x01(\tB\x03\xe0A\x02R\x12datasetDisplayName\x1a\x9b\x04\n" +
	" MigrateDataLabelingDatasetConfig\x12E\n" +
	"\adataset\x18\x01 \x01(\tB+\xe0A\x02\xfaA%\n" +
	"#datalabeling.googleapis.com/DatasetR\adataset\x125\n" +
	"\x14dataset_display_name\x18\x02 \x01(\tB\x03\xe0A\x01R\x12datasetDisplayName\x12\xe7\x01\n" +
	"/migrate_data_labeling_annotated_dataset_configs\x18\x03 \x03(\v2}.google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfigB\x03\xe0A\x01R*migrateDataLabelingAnnotatedDatasetConfigs\x1a\x8e\x01\n" +
	")MigrateDataLabelingAnnotatedDatasetConfig\x12a\n" +
	"\x11annotated_dataset\x18\x01 \x01(\tB4\xe0A\x02\xfaA.\n" +
	",datalabeling.googleapis.com/AnnotatedDatasetR\x10annotatedDatasetB\t\n" +
	"\arequest\"\x92\x01\n" +
	"\x1dBatchMigrateResourcesResponse\x12q\n" +
	"\x1amigrate_resource_responses\x18\x01 \x03(\v23.google.cloud.aiplatform.v1.MigrateResourceResponseR\x18migrateResourceResponses\"\x91\x02\n" +
	"\x17MigrateResourceResponse\x12B\n" +
	"\adataset\x18\x01 \x01(\tB&\xfaA#\n" +
	"!aiplatform.googleapis.com/DatasetH\x00R\adataset\x12<\n" +
	"\x05model\x18\x02 \x01(\tB$\xfaA!\n" +
	"\x1faiplatform.googleapis.com/ModelH\x00R\x05model\x12_\n" +
	"\x13migratable_resource\x18\x03 \x01(\v2..google.cloud.aiplatform.v1.MigratableResourceR\x12migratableResourceB\x13\n" +
	"\x11migrated_resource\"\x9c\x04\n" +
	"&BatchMigrateResourcesOperationMetadata\x12_\n" +
	"\x10generic_metadata\x18\x01 \x01(\v24.google.cloud.aiplatform.v1.GenericOperationMetadataR\x0fgenericMetadata\x12y\n" +
	"\x0fpartial_results\x18\x02 \x03(\v2P.google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResultR\x0epartialResults\x1a\x95\x02\n" +
	"\rPartialResult\x12*\n" +
	"\x05error\x18\x02 \x01(\v2\x12.google.rpc.StatusH\x00R\x05error\x12<\n" +
	"\x05model\x18\x03 \x01(\tB$\xfaA!\n" +
	"\x1faiplatform.googleapis.com/ModelH\x00R\x05model\x12B\n" +
	"\adataset\x18\x04 \x01(\tB&\xfaA#\n" +
	"!aiplatform.googleapis.com/DatasetH\x00R\adataset\x12L\n" +
	"\arequest\x18\x01 \x01(\v22.google.cloud.aiplatform.v1.MigrateResourceRequestR\arequestB\b\n" +
	"\x06result2\x82\x05\n" +
	"\x10MigrationService\x12\xec\x01\n" +
	"\x19SearchMigratableResources\x12<.google.cloud.aiplatform.v1.SearchMigratableResourcesRequest\x1a=.google.cloud.aiplatform.v1.SearchMigratableResourcesResponse\"R\xdaA\x06parent\x82\xd3\xe4\x93\x02C:\x01*\">/v1/{parent=projects/*/locations/*}/migratableResources:search\x12\xaf\x02\n" +
	"\x15BatchMigrateResources\x128.google.cloud.aiplatform.v1.BatchMigrateResourcesRequest\x1a\x1d.google.longrunning.Operation\"\xbc\x01\xcaAG\n" +
	"\x1dBatchMigrateResourcesResponse\x12&BatchMigrateResourcesOperationMetadata\xdaA parent,migrate_resource_requests\x82\xd3\xe4\x93\x02I:\x01*\"D/v1/{parent=projects/*/locations/*}/migratableResources:batchMigrate\x1aM\xcaA\x19aiplatform.googleapis.com\xd2A.https://www.googleapis.com/auth/cloud-platformB\xd3\x01\n" +
	"\x1ecom.google.cloud.aiplatform.v1B\x15MigrationServiceProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1b\x06proto3"

var (
	file_google_cloud_aiplatform_v1_migration_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_migration_service_proto_rawDescData []byte
)

func file_google_cloud_aiplatform_v1_migration_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_migration_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_migration_service_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1_migration_service_proto_rawDesc), len(file_google_cloud_aiplatform_v1_migration_service_proto_rawDesc)))
	})
	return file_google_cloud_aiplatform_v1_migration_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes = make([]protoimpl.MessageInfo, 13)
var file_google_cloud_aiplatform_v1_migration_service_proto_goTypes = []any{
	(*SearchMigratableResourcesRequest)(nil),                                                                  // 0: google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
	(*SearchMigratableResourcesResponse)(nil),                                                                 // 1: google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
	(*BatchMigrateResourcesRequest)(nil),                                                                      // 2: google.cloud.aiplatform.v1.BatchMigrateResourcesRequest
	(*MigrateResourceRequest)(nil),                                                                            // 3: google.cloud.aiplatform.v1.MigrateResourceRequest
	(*BatchMigrateResourcesResponse)(nil),                                                                     // 4: google.cloud.aiplatform.v1.BatchMigrateResourcesResponse
	(*MigrateResourceResponse)(nil),                                                                           // 5: google.cloud.aiplatform.v1.MigrateResourceResponse
	(*BatchMigrateResourcesOperationMetadata)(nil),                                                            // 6: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
	(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig)(nil),                                          // 7: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
	(*MigrateResourceRequest_MigrateAutomlModelConfig)(nil),                                                   // 8: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
	(*MigrateResourceRequest_MigrateAutomlDatasetConfig)(nil),                                                 // 9: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
	(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig)(nil),                                           // 10: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
	(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig)(nil), // 11: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
	(*BatchMigrateResourcesOperationMetadata_PartialResult)(nil),                                              // 12: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
	(*MigratableResource)(nil),                                                                                // 13: google.cloud.aiplatform.v1.MigratableResource
	(*GenericOperationMetadata)(nil),                                                                          // 14: google.cloud.aiplatform.v1.GenericOperationMetadata
	(*status.Status)(nil),                                                                                     // 15: google.rpc.Status
	(*longrunningpb.Operation)(nil),                                                                           // 16: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1_migration_service_proto_depIdxs = []int32{
	13, // 0: google.cloud.aiplatform.v1.SearchMigratableResourcesResponse.migratable_resources:type_name -> google.cloud.aiplatform.v1.MigratableResource
	3,  // 1: google.cloud.aiplatform.v1.BatchMigrateResourcesRequest.migrate_resource_requests:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest
	7,  // 2: google.cloud.aiplatform.v1.MigrateResourceRequest.migrate_ml_engine_model_version_config:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
	8,  // 3: google.cloud.aiplatform.v1.MigrateResourceRequest.migrate_automl_model_config:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlModelConfig
	9,  // 4: google.cloud.aiplatform.v1.MigrateResourceRequest.migrate_automl_dataset_config:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateAutomlDatasetConfig
	10, // 5: google.cloud.aiplatform.v1.MigrateResourceRequest.migrate_data_labeling_dataset_config:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
	5,  // 6: google.cloud.aiplatform.v1.BatchMigrateResourcesResponse.migrate_resource_responses:type_name -> google.cloud.aiplatform.v1.MigrateResourceResponse
	13, // 7: google.cloud.aiplatform.v1.MigrateResourceResponse.migratable_resource:type_name -> google.cloud.aiplatform.v1.MigratableResource
	14, // 8: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	12, // 9: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.partial_results:type_name -> google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult
	11, // 10: google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.migrate_data_labeling_annotated_dataset_configs:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
	15, // 11: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.error:type_name -> google.rpc.Status
	3,  // 12: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata.PartialResult.request:type_name -> google.cloud.aiplatform.v1.MigrateResourceRequest
	0,  // 13: google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources:input_type -> google.cloud.aiplatform.v1.SearchMigratableResourcesRequest
	2,  // 14: google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources:input_type -> google.cloud.aiplatform.v1.BatchMigrateResourcesRequest
	1,  // 15: google.cloud.aiplatform.v1.MigrationService.SearchMigratableResources:output_type -> google.cloud.aiplatform.v1.SearchMigratableResourcesResponse
	16, // 16: google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources:output_type -> google.longrunning.Operation
	15, // [15:17] is the sub-list for method output_type
	13, // [13:15] is the sub-list for method input_type
	13, // [13:13] is the sub-list for extension type_name
	13, // [13:13] is the sub-list for extension extendee
	0,  // [0:13] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_migration_service_proto_init() }
func file_google_cloud_aiplatform_v1_migration_service_proto_init() {
	if File_google_cloud_aiplatform_v1_migration_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_migratable_resource_proto_init()
	file_google_cloud_aiplatform_v1_operation_proto_init()
	file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[3].OneofWrappers = []any{
		(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_)(nil),
		(*MigrateResourceRequest_MigrateAutomlModelConfig_)(nil),
		(*MigrateResourceRequest_MigrateAutomlDatasetConfig_)(nil),
		(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_)(nil),
	}
	file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[5].OneofWrappers = []any{
		(*MigrateResourceResponse_Dataset)(nil),
		(*MigrateResourceResponse_Model)(nil),
	}
	file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes[12].OneofWrappers = []any{
		(*BatchMigrateResourcesOperationMetadata_PartialResult_Error)(nil),
		(*BatchMigrateResourcesOperationMetadata_PartialResult_Model)(nil),
		(*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset)(nil),
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1_migration_service_proto_rawDesc), len(file_google_cloud_aiplatform_v1_migration_service_proto_rawDesc)),
			NumEnums:      0,
			NumMessages:   13,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_migration_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_migration_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_migration_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_migration_service_proto = out.File
	file_google_cloud_aiplatform_v1_migration_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_migration_service_proto_depIdxs = nil
}
