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code / gocloud / 1d757c66478963d6cbbef13fee939632c742759c / . / aiplatform / apiv1beta1 / aiplatformpb / migration_service.pb.go
blob: c174280ba7ff6380bfb79c3e8fca97707a1797c4 [file] [log] [blame]
// Copyright 2023 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 v1.33.0
// protoc v4.25.3
// source: google/cloud/aiplatform/v1beta1/migration_service.proto
package aiplatformpb
import (
context "context"
reflect "reflect"
sync "sync"
longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
_ "google.golang.org/genproto/googleapis/api/annotations"
status "google.golang.org/genproto/googleapis/rpc/status"
grpc "google.golang.org/grpc"
codes "google.golang.org/grpc/codes"
status1 "google.golang.org/grpc/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.v1beta1.MigrationService.SearchMigratableResources].
type SearchMigratableResourcesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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.v1beta1.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"`
}
func (x *SearchMigratableResourcesRequest) Reset() {
*x = SearchMigratableResourcesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && 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_v1beta1_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.v1beta1.MigrationService.SearchMigratableResources].
type SearchMigratableResourcesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *SearchMigratableResourcesResponse) Reset() {
*x = SearchMigratableResourcesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && 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_v1beta1_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.v1beta1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *BatchMigrateResourcesRequest) Reset() {
*x = BatchMigrateResourcesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[2]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Request:
//
// *MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
// *MigrateResourceRequest_MigrateAutomlModelConfig_
// *MigrateResourceRequest_MigrateAutomlDatasetConfig_
// *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
Request isMigrateResourceRequest_Request `protobuf_oneof:"request"`
}
func (x *MigrateResourceRequest) Reset() {
*x = MigrateResourceRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[3]
if protoimpl.UnsafeEnabled && 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_v1beta1_migration_service_proto_rawDescGZIP(), []int{3}
}
func (m *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request {
if m != nil {
return m.Request
}
return nil
}
func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig {
if x, ok := x.GetRequest().(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_); ok {
return x.MigrateMlEngineModelVersionConfig
}
return nil
}
func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig {
if x, ok := x.GetRequest().(*MigrateResourceRequest_MigrateAutomlModelConfig_); ok {
return x.MigrateAutomlModelConfig
}
return nil
}
func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig {
if x, ok := x.GetRequest().(*MigrateResourceRequest_MigrateAutomlDatasetConfig_); ok {
return x.MigrateAutomlDatasetConfig
}
return nil
}
func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig {
if x, ok := x.GetRequest().(*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.v1beta1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Successfully migrated resources.
MigrateResourceResponses []*MigrateResourceResponse `protobuf:"bytes,1,rep,name=migrate_resource_responses,json=migrateResourceResponses,proto3" json:"migrate_resource_responses,omitempty"`
}
func (x *BatchMigrateResourcesResponse) Reset() {
*x = BatchMigrateResourcesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[4]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// After migration, the resource name in Vertex AI.
//
// Types that are assignable 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"`
}
func (x *MigrateResourceResponse) Reset() {
*x = MigrateResourceResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[5]
if protoimpl.UnsafeEnabled && 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_v1beta1_migration_service_proto_rawDescGZIP(), []int{5}
}
func (m *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource {
if m != nil {
return m.MigratedResource
}
return nil
}
func (x *MigrateResourceResponse) GetDataset() string {
if x, ok := x.GetMigratedResource().(*MigrateResourceResponse_Dataset); ok {
return x.Dataset
}
return ""
}
func (x *MigrateResourceResponse) GetModel() string {
if x, ok := x.GetMigratedResource().(*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.v1beta1.MigrationService.BatchMigrateResources].
type BatchMigrateResourcesOperationMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *BatchMigrateResourcesOperationMetadata) Reset() {
*x = BatchMigrateResourcesOperationMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[6]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset() {
*x = MigrateResourceRequest_MigrateMlEngineModelVersionConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[7]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset() {
*x = MigrateResourceRequest_MigrateAutomlModelConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[8]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset() {
*x = MigrateResourceRequest_MigrateAutomlDatasetConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[9]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset() {
*x = MigrateResourceRequest_MigrateDataLabelingDatasetConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[10]
if protoimpl.UnsafeEnabled && 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_v1beta1_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
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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"`
}
func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset() {
*x = MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[11]
if protoimpl.UnsafeEnabled && 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_v1beta1_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.v1beta1.MigrateResourceRequest].
type BatchMigrateResourcesOperationMetadata_PartialResult struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// 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 assignable 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
// [MigrateResourceRequest.migrate_resource_requests][].
Request *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
}
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset() {
*x = BatchMigrateResourcesOperationMetadata_PartialResult{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_migration_service_proto_msgTypes[12]
if protoimpl.UnsafeEnabled && 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_v1beta1_migration_service_proto_rawDescGZIP(), []int{6, 0}
}
func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result {
if m != nil {
return m.Result
}
return nil
}
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status {
if x, ok := x.GetResult().(*BatchMigrateResourcesOperationMetadata_PartialResult_Error); ok {
return x.Error
}
return nil
}
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string {
if x, ok := x.GetResult().(*BatchMigrateResourcesOperationMetadata_PartialResult_Model); ok {
return x.Model
}
return ""
}
func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string {
if x, ok := x.GetResult().(*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_v1beta1_migration_service_proto protoreflect.FileDescriptor
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}
var (
file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDesc
)
func file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDescData
}
var file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes = make([]protoimpl.MessageInfo, 13)
var file_google_cloud_aiplatform_v1beta1_migration_service_proto_goTypes = []interface{}{
(*SearchMigratableResourcesRequest)(nil), // 0: google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest
(*SearchMigratableResourcesResponse)(nil), // 1: google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse
(*BatchMigrateResourcesRequest)(nil), // 2: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest
(*MigrateResourceRequest)(nil), // 3: google.cloud.aiplatform.v1beta1.MigrateResourceRequest
(*BatchMigrateResourcesResponse)(nil), // 4: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse
(*MigrateResourceResponse)(nil), // 5: google.cloud.aiplatform.v1beta1.MigrateResourceResponse
(*BatchMigrateResourcesOperationMetadata)(nil), // 6: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig)(nil), // 7: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
(*MigrateResourceRequest_MigrateAutomlModelConfig)(nil), // 8: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlModelConfig
(*MigrateResourceRequest_MigrateAutomlDatasetConfig)(nil), // 9: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlDatasetConfig
(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig)(nil), // 10: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig)(nil), // 11: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
(*BatchMigrateResourcesOperationMetadata_PartialResult)(nil), // 12: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
(*MigratableResource)(nil), // 13: google.cloud.aiplatform.v1beta1.MigratableResource
(*GenericOperationMetadata)(nil), // 14: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
(*status.Status)(nil), // 15: google.rpc.Status
(*longrunningpb.Operation)(nil), // 16: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1beta1_migration_service_proto_depIdxs = []int32{
13, // 0: google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse.migratable_resources:type_name -> google.cloud.aiplatform.v1beta1.MigratableResource
3, // 1: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest.migrate_resource_requests:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest
7, // 2: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.migrate_ml_engine_model_version_config:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateMlEngineModelVersionConfig
8, // 3: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.migrate_automl_model_config:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlModelConfig
9, // 4: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.migrate_automl_dataset_config:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateAutomlDatasetConfig
10, // 5: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.migrate_data_labeling_dataset_config:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig
5, // 6: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse.migrate_resource_responses:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceResponse
13, // 7: google.cloud.aiplatform.v1beta1.MigrateResourceResponse.migratable_resource:type_name -> google.cloud.aiplatform.v1beta1.MigratableResource
14, // 8: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
12, // 9: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.partial_results:type_name -> google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
11, // 10: google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.migrate_data_labeling_annotated_dataset_configs:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig
15, // 11: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult.error:type_name -> google.rpc.Status
3, // 12: google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult.request:type_name -> google.cloud.aiplatform.v1beta1.MigrateResourceRequest
0, // 13: google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources:input_type -> google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest
2, // 14: google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources:input_type -> google.cloud.aiplatform.v1beta1.BatchMigrateResourcesRequest
1, // 15: google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources:output_type -> google.cloud.aiplatform.v1beta1.SearchMigratableResourcesResponse
16, // 16: google.cloud.aiplatform.v1beta1.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_v1beta1_migration_service_proto_init() }
func file_google_cloud_aiplatform_v1beta1_migration_service_proto_init() {
if File_google_cloud_aiplatform_v1beta1_migration_service_proto != nil {
return
}
file_google_cloud_aiplatform_v1beta1_migratable_resource_proto_init()
file_google_cloud_aiplatform_v1beta1_operation_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchMigratableResourcesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchMigratableResourcesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchMigrateResourcesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchMigrateResourcesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchMigrateResourcesOperationMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest_MigrateAutomlModelConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest_MigrateAutomlDatasetConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BatchMigrateResourcesOperationMetadata_PartialResult); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[3].OneofWrappers = []interface{}{
(*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_)(nil),
(*MigrateResourceRequest_MigrateAutomlModelConfig_)(nil),
(*MigrateResourceRequest_MigrateAutomlDatasetConfig_)(nil),
(*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_)(nil),
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[5].OneofWrappers = []interface{}{
(*MigrateResourceResponse_Dataset)(nil),
(*MigrateResourceResponse_Model)(nil),
}
file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes[12].OneofWrappers = []interface{}{
(*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: file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDesc,
NumEnums: 0,
NumMessages: 13,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_google_cloud_aiplatform_v1beta1_migration_service_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1beta1_migration_service_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1beta1_migration_service_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1beta1_migration_service_proto = out.File
file_google_cloud_aiplatform_v1beta1_migration_service_proto_rawDesc = nil
file_google_cloud_aiplatform_v1beta1_migration_service_proto_goTypes = nil
file_google_cloud_aiplatform_v1beta1_migration_service_proto_depIdxs = nil
}
// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConnInterface
// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion6
// MigrationServiceClient is the client API for MigrationService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type MigrationServiceClient interface {
// Searches all of the resources in automl.googleapis.com,
// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
// Vertex AI's given location.
SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error)
// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
// and datalabeling.googleapis.com to Vertex AI.
BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
}
type migrationServiceClient struct {
cc grpc.ClientConnInterface
}
func NewMigrationServiceClient(cc grpc.ClientConnInterface) MigrationServiceClient {
return &migrationServiceClient{cc}
}
func (c *migrationServiceClient) SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error) {
out := new(SearchMigratableResourcesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.MigrationService/SearchMigratableResources", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *migrationServiceClient) BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
out := new(longrunningpb.Operation)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.MigrationService/BatchMigrateResources", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// MigrationServiceServer is the server API for MigrationService service.
type MigrationServiceServer interface {
// Searches all of the resources in automl.googleapis.com,
// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
// Vertex AI's given location.
SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
// and datalabeling.googleapis.com to Vertex AI.
BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error)
}
// UnimplementedMigrationServiceServer can be embedded to have forward compatible implementations.
type UnimplementedMigrationServiceServer struct {
}
func (*UnimplementedMigrationServiceServer) SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error) {
return nil, status1.Errorf(codes.Unimplemented, "method SearchMigratableResources not implemented")
}
func (*UnimplementedMigrationServiceServer) BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunningpb.Operation, error) {
return nil, status1.Errorf(codes.Unimplemented, "method BatchMigrateResources not implemented")
}
func RegisterMigrationServiceServer(s *grpc.Server, srv MigrationServiceServer) {
s.RegisterService(&_MigrationService_serviceDesc, srv)
}
func _MigrationService_SearchMigratableResources_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(SearchMigratableResourcesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(MigrationServiceServer).SearchMigratableResources(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.MigrationService/SearchMigratableResources",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(MigrationServiceServer).SearchMigratableResources(ctx, req.(*SearchMigratableResourcesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _MigrationService_BatchMigrateResources_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(BatchMigrateResourcesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(MigrationServiceServer).BatchMigrateResources(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1beta1.MigrationService/BatchMigrateResources",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(MigrationServiceServer).BatchMigrateResources(ctx, req.(*BatchMigrateResourcesRequest))
}
return interceptor(ctx, in, info, handler)
}
var _MigrationService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.aiplatform.v1beta1.MigrationService",
HandlerType: (*MigrationServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "SearchMigratableResources",
Handler: _MigrationService_SearchMigratableResources_Handler,
},
{
MethodName: "BatchMigrateResources",
Handler: _MigrationService_BatchMigrateResources_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/aiplatform/v1beta1/migration_service.proto",
}