From 244b14e4fe424100a6ff2b05637375fafe084673 Mon Sep 17 00:00:00 2001 From: "gcf-owl-bot[bot]" <78513119+gcf-owl-bot[bot]@users.noreply.github.com> Date: Wed, 12 Jul 2023 16:32:13 +0000 Subject: [PATCH] feat(aiplatform): add data_item_count to Dataset (#8249) - [ ] Regenerate this pull request now. feat: add DeleteSavedQuery to DatasetService feat: add JOB_STATE_PARTIALLY_SUCCEEDED to JobState feat: add pipeline_job to Model feat: add reserved_ip_ranges to PipelineJob PiperOrigin-RevId: 547343567 Source-Link: https://github.com/googleapis/googleapis/commit/72b20cc483d055fd061ce9857e7ade6482ec8056 Source-Link: https://github.com/googleapis/googleapis-gen/commit/4d84e76df6f5a361eca3573a0f69221b421e7359 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNGQ4NGU3NmRmNmY1YTM2MWVjYTM1NzNhMGY2OTIyMWI0MjFlNzM1OSJ9 --- .../aiplatformpb/batch_prediction_job.pb.go | 5 + aiplatform/apiv1/aiplatformpb/dataset.pb.go | 228 ++-- .../apiv1/aiplatformpb/dataset_service.pb.go | 661 +++++---- .../aiplatformpb/featurestore_service.pb.go | 1211 +++++++++-------- aiplatform/apiv1/aiplatformpb/job_state.pb.go | 60 +- aiplatform/apiv1/aiplatformpb/model.pb.go | 365 ++--- .../apiv1/aiplatformpb/model_service.pb.go | 138 +- aiplatform/apiv1/aiplatformpb/nas_job.pb.go | 2 +- .../apiv1/aiplatformpb/pipeline_job.pb.go | 530 ++++---- .../aiplatformpb/tensorboard_service.pb.go | 627 ++++----- aiplatform/apiv1/dataset_client.go | 98 +- .../apiv1/dataset_client_example_test.go | 28 + aiplatform/apiv1/gapic_metadata.json | 5 + aiplatform/apiv1/tensorboard_client.go | 50 +- .../apiv1/tensorboard_client_example_test.go | 50 +- .../DatasetClient/DeleteSavedQuery/main.go | 56 + ...t_metadata.google.cloud.aiplatform.v1.json | 46 + 17 files changed, 2279 insertions(+), 1881 deletions(-) create mode 100644 internal/generated/snippets/aiplatform/apiv1/DatasetClient/DeleteSavedQuery/main.go diff --git a/aiplatform/apiv1/aiplatformpb/batch_prediction_job.pb.go b/aiplatform/apiv1/aiplatformpb/batch_prediction_job.pb.go index 4e322fb55ae6..2597f7993739 100755 --- a/aiplatform/apiv1/aiplatformpb/batch_prediction_job.pb.go +++ b/aiplatform/apiv1/aiplatformpb/batch_prediction_job.pb.go @@ -66,6 +66,11 @@ type BatchPredictionJob struct { // or // `projects/{project}/locations/{location}/models/{model}@golden` // if no version is specified, the default version will be deployed. + // + // The model resource could also be a publisher model. + // Example: `publishers/{publisher}/models/{model}` + // or + // `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}` Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"` // Output only. The version ID of the Model that produces the predictions via // this job. diff --git a/aiplatform/apiv1/aiplatformpb/dataset.pb.go b/aiplatform/apiv1/aiplatformpb/dataset.pb.go index 2c7d1660fa28..9ad727cbbfc0 100755 --- a/aiplatform/apiv1/aiplatformpb/dataset.pb.go +++ b/aiplatform/apiv1/aiplatformpb/dataset.pb.go @@ -59,6 +59,9 @@ type Dataset struct { MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"` // Required. Additional information about the Dataset. Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"` + // Output only. The number of DataItems in this Dataset. Only apply for + // non-structured Dataset. + DataItemCount int64 `protobuf:"varint,10,opt,name=data_item_count,json=dataItemCount,proto3" json:"data_item_count,omitempty"` // Output only. Timestamp when this Dataset was created. CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` // Output only. Timestamp when this Dataset was last updated. @@ -168,6 +171,13 @@ func (x *Dataset) GetMetadata() *structpb.Value { return nil } +func (x *Dataset) GetDataItemCount() int64 { + if x != nil { + return x.DataItemCount + } + return 0 +} + func (x *Dataset) GetCreateTime() *timestamppb.Timestamp { if x != nil { return x.CreateTime @@ -556,7 +566,7 @@ var file_google_cloud_aiplatform_v1_dataset_proto_rawDesc = []byte{ 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x73, 0x74, 0x72, 0x75, 0x63, 0x74, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1f, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, - 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xae, 0x06, 0x0a, 0x07, 0x44, 0x61, 0x74, 0x61, 0x73, + 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xdb, 0x06, 0x0a, 0x07, 0x44, 0x61, 0x74, 0x61, 0x73, 0x65, 0x74, 0x12, 0x17, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 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a/aiplatform/apiv1/aiplatformpb/dataset_service.pb.go b/aiplatform/apiv1/aiplatformpb/dataset_service.pb.go index 1a0703c8d4a6..b4e9326c4138 100755 --- a/aiplatform/apiv1/aiplatformpb/dataset_service.pb.go +++ b/aiplatform/apiv1/aiplatformpb/dataset_service.pb.go @@ -1505,6 +1505,58 @@ func (x *ListSavedQueriesResponse) GetNextPageToken() string { return "" } +// Request message for +// [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery]. +type DeleteSavedQueryRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The resource name of the SavedQuery to delete. + // Format: + // `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}` + Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` +} + +func (x *DeleteSavedQueryRequest) Reset() { + *x = DeleteSavedQueryRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *DeleteSavedQueryRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*DeleteSavedQueryRequest) ProtoMessage() {} + +func (x *DeleteSavedQueryRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20] + 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 DeleteSavedQueryRequest.ProtoReflect.Descriptor instead. +func (*DeleteSavedQueryRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{20} +} + +func (x *DeleteSavedQueryRequest) GetName() string { + if x != nil { + return x.Name + } + return "" +} + // Request message for // [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec]. type GetAnnotationSpecRequest struct { @@ -1523,7 +1575,7 @@ type GetAnnotationSpecRequest struct { func (x *GetAnnotationSpecRequest) Reset() { *x = GetAnnotationSpecRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1536,7 +1588,7 @@ func (x *GetAnnotationSpecRequest) String() string { func (*GetAnnotationSpecRequest) ProtoMessage() {} func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1549,7 +1601,7 @@ func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead. func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{20} + return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{21} } func (x *GetAnnotationSpecRequest) GetName() string { @@ -1593,7 +1645,7 @@ type ListAnnotationsRequest struct { func (x *ListAnnotationsRequest) Reset() { *x = ListAnnotationsRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1606,7 +1658,7 @@ func (x *ListAnnotationsRequest) String() string { func (*ListAnnotationsRequest) ProtoMessage() {} func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1619,7 +1671,7 @@ func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead. func (*ListAnnotationsRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{21} + return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{22} } func (x *ListAnnotationsRequest) GetParent() string { @@ -1680,7 +1732,7 @@ type ListAnnotationsResponse struct { func (x *ListAnnotationsResponse) Reset() { *x = ListAnnotationsResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1693,7 +1745,7 @@ func (x *ListAnnotationsResponse) String() string { func (*ListAnnotationsResponse) ProtoMessage() {} func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -1706,7 +1758,7 @@ func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message { // Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead. func (*ListAnnotationsResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{22} + return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{23} } func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation { @@ -1741,7 +1793,7 @@ type SearchDataItemsRequest_OrderByAnnotation struct { func (x *SearchDataItemsRequest_OrderByAnnotation) Reset() { *x = SearchDataItemsRequest_OrderByAnnotation{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -1754,7 +1806,7 @@ func (x *SearchDataItemsRequest_OrderByAnnotation) String() string { func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage() {} func (x *SearchDataItemsRequest_OrderByAnnotation) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23] + mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -2059,215 +2111,235 @@ var file_google_cloud_aiplatform_v1_dataset_service_proto_rawDesc = []byte{ 0x0c, 0x73, 0x61, 0x76, 0x65, 0x64, 0x51, 0x75, 0x65, 0x72, 0x69, 0x65, 0x73, 0x12, 0x26, 0x0a, 0x0f, 0x6e, 0x65, 0x78, 0x74, 0x5f, 0x70, 0x61, 0x67, 0x65, 0x5f, 0x74, 0x6f, 0x6b, 0x65, 0x6e, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09, 0x52, 0x0d, 0x6e, 0x65, 0x78, 0x74, 0x50, 0x61, 0x67, 0x65, - 0x54, 0x6f, 0x6b, 0x65, 0x6e, 0x22, 0x99, 0x01, 0x0a, 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[]byte return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescData } -var file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes = make([]protoimpl.MessageInfo, 24) +var file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes = make([]protoimpl.MessageInfo, 25) var file_google_cloud_aiplatform_v1_dataset_service_proto_goTypes = []interface{}{ (*CreateDatasetRequest)(nil), // 0: google.cloud.aiplatform.v1.CreateDatasetRequest (*CreateDatasetOperationMetadata)(nil), // 1: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata @@ -2304,45 +2376,46 @@ var file_google_cloud_aiplatform_v1_dataset_service_proto_goTypes = []interface{ (*DataItemView)(nil), // 17: google.cloud.aiplatform.v1.DataItemView (*ListSavedQueriesRequest)(nil), // 18: google.cloud.aiplatform.v1.ListSavedQueriesRequest (*ListSavedQueriesResponse)(nil), // 19: google.cloud.aiplatform.v1.ListSavedQueriesResponse - (*GetAnnotationSpecRequest)(nil), // 20: google.cloud.aiplatform.v1.GetAnnotationSpecRequest - (*ListAnnotationsRequest)(nil), // 21: google.cloud.aiplatform.v1.ListAnnotationsRequest - (*ListAnnotationsResponse)(nil), // 22: google.cloud.aiplatform.v1.ListAnnotationsResponse - (*SearchDataItemsRequest_OrderByAnnotation)(nil), // 23: google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation - (*Dataset)(nil), // 24: google.cloud.aiplatform.v1.Dataset - (*GenericOperationMetadata)(nil), // 25: google.cloud.aiplatform.v1.GenericOperationMetadata - (*fieldmaskpb.FieldMask)(nil), // 26: google.protobuf.FieldMask - (*ImportDataConfig)(nil), // 27: google.cloud.aiplatform.v1.ImportDataConfig - (*ExportDataConfig)(nil), // 28: google.cloud.aiplatform.v1.ExportDataConfig - (*DataItem)(nil), // 29: google.cloud.aiplatform.v1.DataItem - (*Annotation)(nil), // 30: google.cloud.aiplatform.v1.Annotation - (*SavedQuery)(nil), // 31: google.cloud.aiplatform.v1.SavedQuery - (*longrunningpb.Operation)(nil), // 32: google.longrunning.Operation - (*AnnotationSpec)(nil), // 33: google.cloud.aiplatform.v1.AnnotationSpec + (*DeleteSavedQueryRequest)(nil), // 20: google.cloud.aiplatform.v1.DeleteSavedQueryRequest + (*GetAnnotationSpecRequest)(nil), // 21: google.cloud.aiplatform.v1.GetAnnotationSpecRequest + (*ListAnnotationsRequest)(nil), // 22: google.cloud.aiplatform.v1.ListAnnotationsRequest + (*ListAnnotationsResponse)(nil), // 23: google.cloud.aiplatform.v1.ListAnnotationsResponse + (*SearchDataItemsRequest_OrderByAnnotation)(nil), // 24: google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation + (*Dataset)(nil), // 25: google.cloud.aiplatform.v1.Dataset + (*GenericOperationMetadata)(nil), // 26: google.cloud.aiplatform.v1.GenericOperationMetadata + (*fieldmaskpb.FieldMask)(nil), // 27: google.protobuf.FieldMask + (*ImportDataConfig)(nil), // 28: google.cloud.aiplatform.v1.ImportDataConfig + (*ExportDataConfig)(nil), // 29: google.cloud.aiplatform.v1.ExportDataConfig + (*DataItem)(nil), // 30: google.cloud.aiplatform.v1.DataItem + (*Annotation)(nil), // 31: google.cloud.aiplatform.v1.Annotation + (*SavedQuery)(nil), // 32: google.cloud.aiplatform.v1.SavedQuery + (*longrunningpb.Operation)(nil), // 33: google.longrunning.Operation + (*AnnotationSpec)(nil), // 34: google.cloud.aiplatform.v1.AnnotationSpec } var file_google_cloud_aiplatform_v1_dataset_service_proto_depIdxs = []int32{ - 24, // 0: google.cloud.aiplatform.v1.CreateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset - 25, // 1: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata - 26, // 2: google.cloud.aiplatform.v1.GetDatasetRequest.read_mask:type_name -> google.protobuf.FieldMask - 24, // 3: google.cloud.aiplatform.v1.UpdateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset - 26, // 4: google.cloud.aiplatform.v1.UpdateDatasetRequest.update_mask:type_name -> google.protobuf.FieldMask - 26, // 5: google.cloud.aiplatform.v1.ListDatasetsRequest.read_mask:type_name -> google.protobuf.FieldMask - 24, // 6: google.cloud.aiplatform.v1.ListDatasetsResponse.datasets:type_name -> google.cloud.aiplatform.v1.Dataset - 27, // 7: google.cloud.aiplatform.v1.ImportDataRequest.import_configs:type_name -> google.cloud.aiplatform.v1.ImportDataConfig - 25, // 8: google.cloud.aiplatform.v1.ImportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata - 28, // 9: google.cloud.aiplatform.v1.ExportDataRequest.export_config:type_name -> google.cloud.aiplatform.v1.ExportDataConfig - 25, // 10: google.cloud.aiplatform.v1.ExportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata - 26, // 11: google.cloud.aiplatform.v1.ListDataItemsRequest.read_mask:type_name -> google.protobuf.FieldMask - 29, // 12: google.cloud.aiplatform.v1.ListDataItemsResponse.data_items:type_name -> google.cloud.aiplatform.v1.DataItem - 23, // 13: google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by_annotation:type_name -> google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation - 26, // 14: google.cloud.aiplatform.v1.SearchDataItemsRequest.field_mask:type_name -> google.protobuf.FieldMask + 25, // 0: google.cloud.aiplatform.v1.CreateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset + 26, // 1: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata + 27, // 2: google.cloud.aiplatform.v1.GetDatasetRequest.read_mask:type_name -> google.protobuf.FieldMask + 25, // 3: google.cloud.aiplatform.v1.UpdateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset + 27, // 4: google.cloud.aiplatform.v1.UpdateDatasetRequest.update_mask:type_name -> google.protobuf.FieldMask + 27, // 5: google.cloud.aiplatform.v1.ListDatasetsRequest.read_mask:type_name -> google.protobuf.FieldMask + 25, // 6: google.cloud.aiplatform.v1.ListDatasetsResponse.datasets:type_name -> google.cloud.aiplatform.v1.Dataset + 28, // 7: google.cloud.aiplatform.v1.ImportDataRequest.import_configs:type_name -> google.cloud.aiplatform.v1.ImportDataConfig + 26, // 8: google.cloud.aiplatform.v1.ImportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata + 29, // 9: google.cloud.aiplatform.v1.ExportDataRequest.export_config:type_name -> google.cloud.aiplatform.v1.ExportDataConfig + 26, // 10: google.cloud.aiplatform.v1.ExportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata + 27, // 11: google.cloud.aiplatform.v1.ListDataItemsRequest.read_mask:type_name -> google.protobuf.FieldMask + 30, // 12: google.cloud.aiplatform.v1.ListDataItemsResponse.data_items:type_name -> google.cloud.aiplatform.v1.DataItem + 24, // 13: google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by_annotation:type_name -> google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation + 27, // 14: google.cloud.aiplatform.v1.SearchDataItemsRequest.field_mask:type_name -> google.protobuf.FieldMask 17, // 15: google.cloud.aiplatform.v1.SearchDataItemsResponse.data_item_views:type_name -> google.cloud.aiplatform.v1.DataItemView - 29, // 16: google.cloud.aiplatform.v1.DataItemView.data_item:type_name -> google.cloud.aiplatform.v1.DataItem - 30, // 17: google.cloud.aiplatform.v1.DataItemView.annotations:type_name -> google.cloud.aiplatform.v1.Annotation - 26, // 18: google.cloud.aiplatform.v1.ListSavedQueriesRequest.read_mask:type_name -> google.protobuf.FieldMask - 31, // 19: google.cloud.aiplatform.v1.ListSavedQueriesResponse.saved_queries:type_name -> google.cloud.aiplatform.v1.SavedQuery - 26, // 20: google.cloud.aiplatform.v1.GetAnnotationSpecRequest.read_mask:type_name -> google.protobuf.FieldMask - 26, // 21: google.cloud.aiplatform.v1.ListAnnotationsRequest.read_mask:type_name -> google.protobuf.FieldMask - 30, // 22: google.cloud.aiplatform.v1.ListAnnotationsResponse.annotations:type_name -> google.cloud.aiplatform.v1.Annotation + 30, // 16: google.cloud.aiplatform.v1.DataItemView.data_item:type_name -> google.cloud.aiplatform.v1.DataItem + 31, // 17: google.cloud.aiplatform.v1.DataItemView.annotations:type_name -> google.cloud.aiplatform.v1.Annotation + 27, // 18: google.cloud.aiplatform.v1.ListSavedQueriesRequest.read_mask:type_name -> google.protobuf.FieldMask + 32, // 19: google.cloud.aiplatform.v1.ListSavedQueriesResponse.saved_queries:type_name -> google.cloud.aiplatform.v1.SavedQuery + 27, // 20: google.cloud.aiplatform.v1.GetAnnotationSpecRequest.read_mask:type_name -> google.protobuf.FieldMask + 27, // 21: google.cloud.aiplatform.v1.ListAnnotationsRequest.read_mask:type_name -> google.protobuf.FieldMask + 31, // 22: google.cloud.aiplatform.v1.ListAnnotationsResponse.annotations:type_name -> google.cloud.aiplatform.v1.Annotation 0, // 23: google.cloud.aiplatform.v1.DatasetService.CreateDataset:input_type -> google.cloud.aiplatform.v1.CreateDatasetRequest 2, // 24: google.cloud.aiplatform.v1.DatasetService.GetDataset:input_type -> google.cloud.aiplatform.v1.GetDatasetRequest 3, // 25: google.cloud.aiplatform.v1.DatasetService.UpdateDataset:input_type -> google.cloud.aiplatform.v1.UpdateDatasetRequest @@ -2353,22 +2426,24 @@ var file_google_cloud_aiplatform_v1_dataset_service_proto_depIdxs = []int32{ 13, // 30: google.cloud.aiplatform.v1.DatasetService.ListDataItems:input_type -> google.cloud.aiplatform.v1.ListDataItemsRequest 15, // 31: google.cloud.aiplatform.v1.DatasetService.SearchDataItems:input_type -> google.cloud.aiplatform.v1.SearchDataItemsRequest 18, // 32: google.cloud.aiplatform.v1.DatasetService.ListSavedQueries:input_type -> google.cloud.aiplatform.v1.ListSavedQueriesRequest - 20, // 33: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:input_type -> google.cloud.aiplatform.v1.GetAnnotationSpecRequest - 21, // 34: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:input_type -> google.cloud.aiplatform.v1.ListAnnotationsRequest - 32, // 35: google.cloud.aiplatform.v1.DatasetService.CreateDataset:output_type -> google.longrunning.Operation - 24, // 36: google.cloud.aiplatform.v1.DatasetService.GetDataset:output_type -> google.cloud.aiplatform.v1.Dataset - 24, // 37: google.cloud.aiplatform.v1.DatasetService.UpdateDataset:output_type -> google.cloud.aiplatform.v1.Dataset - 5, // 38: google.cloud.aiplatform.v1.DatasetService.ListDatasets:output_type -> google.cloud.aiplatform.v1.ListDatasetsResponse - 32, // 39: google.cloud.aiplatform.v1.DatasetService.DeleteDataset:output_type -> google.longrunning.Operation - 32, // 40: google.cloud.aiplatform.v1.DatasetService.ImportData:output_type -> google.longrunning.Operation - 32, // 41: google.cloud.aiplatform.v1.DatasetService.ExportData:output_type -> google.longrunning.Operation - 14, // 42: google.cloud.aiplatform.v1.DatasetService.ListDataItems:output_type -> google.cloud.aiplatform.v1.ListDataItemsResponse - 16, // 43: google.cloud.aiplatform.v1.DatasetService.SearchDataItems:output_type -> google.cloud.aiplatform.v1.SearchDataItemsResponse - 19, // 44: google.cloud.aiplatform.v1.DatasetService.ListSavedQueries:output_type -> google.cloud.aiplatform.v1.ListSavedQueriesResponse - 33, // 45: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:output_type -> google.cloud.aiplatform.v1.AnnotationSpec - 22, // 46: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:output_type -> google.cloud.aiplatform.v1.ListAnnotationsResponse - 35, // [35:47] is the sub-list for method output_type - 23, // [23:35] is the sub-list for method input_type + 20, // 33: google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery:input_type -> google.cloud.aiplatform.v1.DeleteSavedQueryRequest + 21, // 34: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:input_type -> google.cloud.aiplatform.v1.GetAnnotationSpecRequest + 22, // 35: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:input_type -> google.cloud.aiplatform.v1.ListAnnotationsRequest + 33, // 36: google.cloud.aiplatform.v1.DatasetService.CreateDataset:output_type -> google.longrunning.Operation + 25, // 37: google.cloud.aiplatform.v1.DatasetService.GetDataset:output_type -> google.cloud.aiplatform.v1.Dataset + 25, // 38: google.cloud.aiplatform.v1.DatasetService.UpdateDataset:output_type -> google.cloud.aiplatform.v1.Dataset + 5, // 39: google.cloud.aiplatform.v1.DatasetService.ListDatasets:output_type -> google.cloud.aiplatform.v1.ListDatasetsResponse + 33, // 40: google.cloud.aiplatform.v1.DatasetService.DeleteDataset:output_type -> google.longrunning.Operation + 33, // 41: google.cloud.aiplatform.v1.DatasetService.ImportData:output_type -> google.longrunning.Operation + 33, // 42: google.cloud.aiplatform.v1.DatasetService.ExportData:output_type -> google.longrunning.Operation + 14, // 43: google.cloud.aiplatform.v1.DatasetService.ListDataItems:output_type -> google.cloud.aiplatform.v1.ListDataItemsResponse + 16, // 44: google.cloud.aiplatform.v1.DatasetService.SearchDataItems:output_type -> google.cloud.aiplatform.v1.SearchDataItemsResponse + 19, // 45: google.cloud.aiplatform.v1.DatasetService.ListSavedQueries:output_type -> google.cloud.aiplatform.v1.ListSavedQueriesResponse + 33, // 46: google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery:output_type -> google.longrunning.Operation + 34, // 47: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:output_type -> google.cloud.aiplatform.v1.AnnotationSpec + 23, // 48: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:output_type -> google.cloud.aiplatform.v1.ListAnnotationsResponse + 36, // [36:49] is the sub-list for method output_type + 23, // [23:36] is the sub-list for method input_type 23, // [23:23] is the sub-list for extension type_name 23, // [23:23] is the sub-list for extension extendee 0, // [0:23] is the sub-list for field type_name @@ -2627,7 +2702,7 @@ func file_google_cloud_aiplatform_v1_dataset_service_proto_init() { } } file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*GetAnnotationSpecRequest); i { + switch v := v.(*DeleteSavedQueryRequest); i { case 0: return &v.state case 1: @@ -2639,7 +2714,7 @@ func file_google_cloud_aiplatform_v1_dataset_service_proto_init() { } } file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListAnnotationsRequest); i { + switch v := v.(*GetAnnotationSpecRequest); i { case 0: return &v.state case 1: @@ -2651,7 +2726,7 @@ func file_google_cloud_aiplatform_v1_dataset_service_proto_init() { } } file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListAnnotationsResponse); i { + switch v := v.(*ListAnnotationsRequest); i { case 0: return &v.state case 1: @@ -2663,6 +2738,18 @@ func file_google_cloud_aiplatform_v1_dataset_service_proto_init() { } } file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} { + switch v := v.(*ListAnnotationsResponse); i { + case 0: + return &v.state + case 1: + return &v.sizeCache + case 2: + return &v.unknownFields + default: + return nil + } + } + file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} { switch v := v.(*SearchDataItemsRequest_OrderByAnnotation); i { case 0: return &v.state @@ -2685,7 +2772,7 @@ func file_google_cloud_aiplatform_v1_dataset_service_proto_init() { GoPackagePath: reflect.TypeOf(x{}).PkgPath(), RawDescriptor: file_google_cloud_aiplatform_v1_dataset_service_proto_rawDesc, NumEnums: 0, - NumMessages: 24, + NumMessages: 25, NumExtensions: 0, NumServices: 1, }, @@ -2731,6 +2818,8 @@ type DatasetServiceClient interface { SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error) // Lists SavedQueries in a Dataset. ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error) + // Deletes a SavedQuery. + DeleteSavedQuery(ctx context.Context, in *DeleteSavedQueryRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) // Gets an AnnotationSpec. GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error) // Lists Annotations belongs to a dataitem @@ -2835,6 +2924,15 @@ func (c *datasetServiceClient) ListSavedQueries(ctx context.Context, in *ListSav return out, nil } +func (c *datasetServiceClient) DeleteSavedQuery(ctx context.Context, in *DeleteSavedQueryRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { + out := new(longrunningpb.Operation) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/DeleteSavedQuery", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *datasetServiceClient) GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error) { out := new(AnnotationSpec) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/GetAnnotationSpec", in, out, opts...) @@ -2875,6 +2973,8 @@ type DatasetServiceServer interface { SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error) // Lists SavedQueries in a Dataset. ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error) + // Deletes a SavedQuery. + DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error) // Gets an AnnotationSpec. GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error) // Lists Annotations belongs to a dataitem @@ -2915,6 +3015,9 @@ func (*UnimplementedDatasetServiceServer) SearchDataItems(context.Context, *Sear func (*UnimplementedDatasetServiceServer) ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error) { return nil, status.Errorf(codes.Unimplemented, "method ListSavedQueries not implemented") } +func (*UnimplementedDatasetServiceServer) DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error) { + return nil, status.Errorf(codes.Unimplemented, "method DeleteSavedQuery not implemented") +} func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error) { return nil, status.Errorf(codes.Unimplemented, "method GetAnnotationSpec not implemented") } @@ -3106,6 +3209,24 @@ func _DatasetService_ListSavedQueries_Handler(srv interface{}, ctx context.Conte return interceptor(ctx, in, info, handler) } +func _DatasetService_DeleteSavedQuery_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(DeleteSavedQueryRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(DatasetServiceServer).DeleteSavedQuery(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.DatasetService/DeleteSavedQuery", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(DatasetServiceServer).DeleteSavedQuery(ctx, req.(*DeleteSavedQueryRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _DatasetService_GetAnnotationSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(GetAnnotationSpecRequest) if err := dec(in); err != nil { @@ -3186,6 +3307,10 @@ var _DatasetService_serviceDesc = grpc.ServiceDesc{ MethodName: "ListSavedQueries", Handler: _DatasetService_ListSavedQueries_Handler, }, + { + MethodName: "DeleteSavedQuery", + Handler: _DatasetService_DeleteSavedQuery_Handler, + }, { MethodName: "GetAnnotationSpec", Handler: _DatasetService_GetAnnotationSpec_Handler, diff --git a/aiplatform/apiv1/aiplatformpb/featurestore_service.pb.go b/aiplatform/apiv1/aiplatformpb/featurestore_service.pb.go index b2f8953e8470..755eb1ed0f1d 100755 --- a/aiplatform/apiv1/aiplatformpb/featurestore_service.pb.go +++ b/aiplatform/apiv1/aiplatformpb/featurestore_service.pb.go @@ -54,7 +54,7 @@ type CreateFeaturestoreRequest struct { // Required. The resource name of the Location to create Featurestores. // Format: - // `projects/{project}/locations/{location}'` + // `projects/{project}/locations/{location}` Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` // Required. The Featurestore to create. Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"` @@ -2312,6 +2312,7 @@ type SearchFeaturesRequest struct { // * `featurestore_id`: Supports = comparisons. // // Examples: + // // * `description = "foo bar"` --> Any Feature with description exactly equal // to `foo bar` // * `value_type = DOUBLE` --> Features whose type is DOUBLE. @@ -4323,168 +4324,121 @@ var file_google_cloud_aiplatform_v1_featurestore_service_proto_rawDesc = []byte{ 0x6d, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x45, 0x6e, 0x74, 0x69, 0x74, 0x79, 0x54, 0x79, 0x70, 0x65, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x14, 0x0a, 0x05, 0x66, 0x6f, 0x72, 0x63, 0x65, 0x18, 0x02, 0x20, 0x01, 0x28, 0x08, - 0x52, 0x05, 0x66, 0x6f, 0x72, 0x63, 0x65, 0x22, 0xc4, 0x01, 0x0a, 0x14, 0x43, 0x72, 0x65, 0x61, + 0x52, 0x05, 0x66, 0x6f, 0x72, 0x63, 0x65, 0x22, 0xc1, 0x01, 0x0a, 0x14, 0x43, 0x72, 0x65, 0x61, 0x74, 0x65, 0x46, 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Only jobs in the `RUNNING` state can be updated. // After updating, the job goes back to the `RUNNING` state. JobState_JOB_STATE_UPDATING JobState = 10 + // The job is partially succeeded, some results may be missing due to errors. + JobState_JOB_STATE_PARTIALLY_SUCCEEDED JobState = 11 ) // Enum value maps for JobState. @@ -79,19 +81,21 @@ var ( 8: "JOB_STATE_PAUSED", 9: "JOB_STATE_EXPIRED", 10: "JOB_STATE_UPDATING", + 11: "JOB_STATE_PARTIALLY_SUCCEEDED", } JobState_value = map[string]int32{ - "JOB_STATE_UNSPECIFIED": 0, - "JOB_STATE_QUEUED": 1, - "JOB_STATE_PENDING": 2, - "JOB_STATE_RUNNING": 3, - "JOB_STATE_SUCCEEDED": 4, - "JOB_STATE_FAILED": 5, - "JOB_STATE_CANCELLING": 6, - "JOB_STATE_CANCELLED": 7, - "JOB_STATE_PAUSED": 8, - "JOB_STATE_EXPIRED": 9, - "JOB_STATE_UPDATING": 10, + "JOB_STATE_UNSPECIFIED": 0, + "JOB_STATE_QUEUED": 1, + "JOB_STATE_PENDING": 2, + "JOB_STATE_RUNNING": 3, + "JOB_STATE_SUCCEEDED": 4, + "JOB_STATE_FAILED": 5, + "JOB_STATE_CANCELLING": 6, + "JOB_STATE_CANCELLED": 7, + "JOB_STATE_PAUSED": 8, + "JOB_STATE_EXPIRED": 9, + "JOB_STATE_UPDATING": 10, + "JOB_STATE_PARTIALLY_SUCCEEDED": 11, } ) @@ -129,7 +133,7 @@ var file_google_cloud_aiplatform_v1_job_state_proto_rawDesc = []byte{ 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2f, 0x76, 0x31, 0x2f, 0x6a, 0x6f, 0x62, 0x5f, 0x73, 0x74, 0x61, 0x74, 0x65, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x12, 0x1a, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 0x69, 0x70, 0x6c, 0x61, - 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The resource name of the TrainingPipeline that uploaded this // Model, if any. TrainingPipeline string `protobuf:"bytes,7,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"` - // This field is populated if the model is produced by a pipeline job. + // Optional. This field is populated if the model is produced by a pipeline + // job. PipelineJob string `protobuf:"bytes,47,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"` // Input only. The specification of the container that is to be used when // deploying this Model. The specification is ingested upon @@ -1421,7 +1422,7 @@ var file_google_cloud_aiplatform_v1_model_proto_rawDesc = []byte{ 0x1c, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x73, 0x74, 0x72, 0x75, 0x63, 0x74, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x1f, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, - 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xeb, + 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x22, 0xee, 0x14, 0x0a, 0x05, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x12, 0x12, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x12, 0x25, 0x0a, 0x0a, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x5f, 0x69, 0x64, 0x18, 0x1c, 0x20, 0x01, 0x28, 0x09, @@ -1472,190 +1473,190 @@ var file_google_cloud_aiplatform_v1_model_proto_rawDesc = []byte{ 0x6f, 0x67, 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f1b8ad123cf7..35c5377d646d 100755 --- a/aiplatform/apiv1/aiplatformpb/model_service.pb.go +++ b/aiplatform/apiv1/aiplatformpb/model_service.pb.go @@ -1108,17 +1108,23 @@ func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig return nil } -// Response message of -// [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset] +// Details of +// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] // operation. -type UpdateExplanationDatasetResponse struct { +type ExportModelOperationMetadata 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"` + // Output only. Information further describing the output of this Model + // export. + OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"` } -func (x *UpdateExplanationDatasetResponse) Reset() { - *x = UpdateExplanationDatasetResponse{} +func (x *ExportModelOperationMetadata) Reset() { + *x = ExportModelOperationMetadata{} if protoimpl.UnsafeEnabled { mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[15] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) @@ -1126,13 +1132,13 @@ func (x *UpdateExplanationDatasetResponse) Reset() { } } -func (x *UpdateExplanationDatasetResponse) String() string { +func (x *ExportModelOperationMetadata) String() string { return protoimpl.X.MessageStringOf(x) } -func (*UpdateExplanationDatasetResponse) ProtoMessage() {} +func (*ExportModelOperationMetadata) ProtoMessage() {} -func (x *UpdateExplanationDatasetResponse) ProtoReflect() protoreflect.Message { +func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message { mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[15] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) @@ -1144,28 +1150,36 @@ func (x *UpdateExplanationDatasetResponse) ProtoReflect() protoreflect.Message { return mi.MessageOf(x) } -// Deprecated: Use UpdateExplanationDatasetResponse.ProtoReflect.Descriptor instead. -func (*UpdateExplanationDatasetResponse) Descriptor() ([]byte, []int) { +// Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead. +func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int) { return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{15} } -// Details of -// [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] +func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata { + if x != nil { + return x.GenericMetadata + } + return nil +} + +func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo { + if x != nil { + return x.OutputInfo + } + return nil +} + +// Response message of +// [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1.ModelService.UpdateExplanationDataset] // operation. -type ExportModelOperationMetadata struct { +type UpdateExplanationDatasetResponse 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"` - // Output only. Information further describing the output of this Model - // export. - OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"` } -func (x *ExportModelOperationMetadata) Reset() { - *x = ExportModelOperationMetadata{} +func (x *UpdateExplanationDatasetResponse) Reset() { + *x = UpdateExplanationDatasetResponse{} if protoimpl.UnsafeEnabled { mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[16] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) @@ -1173,13 +1187,13 @@ func (x *ExportModelOperationMetadata) Reset() { } } -func (x *ExportModelOperationMetadata) String() string { +func (x *UpdateExplanationDatasetResponse) String() string { return protoimpl.X.MessageStringOf(x) } -func (*ExportModelOperationMetadata) ProtoMessage() {} +func (*UpdateExplanationDatasetResponse) ProtoMessage() {} -func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message { +func (x *UpdateExplanationDatasetResponse) ProtoReflect() protoreflect.Message { mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[16] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) @@ -1191,25 +1205,11 @@ func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message { return mi.MessageOf(x) } -// Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead. -func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int) { +// Deprecated: Use UpdateExplanationDatasetResponse.ProtoReflect.Descriptor instead. +func (*UpdateExplanationDatasetResponse) Descriptor() ([]byte, []int) { return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{16} } -func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata { - if x != nil { - return x.GenericMetadata - } - return nil -} - -func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo { - if x != nil { - return x.OutputInfo - } - return nil -} - // Response message of // [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] // operation. @@ -2310,7 +2310,7 @@ func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Me // Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead. func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{16, 0} + return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{15, 0} } func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string { @@ -2533,31 +2533,31 @@ var file_google_cloud_aiplatform_v1_model_service_proto_rawDesc = []byte{ 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2e, 0x76, 0x31, 0x2e, 0x43, 0x6f, 0x6e, 0x74, 0x61, 0x69, 0x6e, 0x65, 0x72, 0x52, 0x65, 0x67, 0x69, 0x73, 0x74, 0x72, 0x79, 0x44, 0x65, 0x73, 0x74, 0x69, 0x6e, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x52, 0x10, 0x69, 0x6d, 0x61, 0x67, 0x65, - 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(*UpdateExplanationDatasetResponse)(nil), // 15: google.cloud.aiplatform.v1.UpdateExplanationDatasetResponse - (*ExportModelOperationMetadata)(nil), // 16: google.cloud.aiplatform.v1.ExportModelOperationMetadata + (*ExportModelOperationMetadata)(nil), // 15: google.cloud.aiplatform.v1.ExportModelOperationMetadata + (*UpdateExplanationDatasetResponse)(nil), // 16: google.cloud.aiplatform.v1.UpdateExplanationDatasetResponse (*ExportModelResponse)(nil), // 17: google.cloud.aiplatform.v1.ExportModelResponse (*CopyModelRequest)(nil), // 18: google.cloud.aiplatform.v1.CopyModelRequest (*CopyModelOperationMetadata)(nil), // 19: google.cloud.aiplatform.v1.CopyModelOperationMetadata @@ -3318,7 +3318,7 @@ func file_google_cloud_aiplatform_v1_model_service_proto_init() { } } file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*UpdateExplanationDatasetResponse); i { + switch v := v.(*ExportModelOperationMetadata); i { case 0: return &v.state case 1: @@ -3330,7 +3330,7 @@ func file_google_cloud_aiplatform_v1_model_service_proto_init() { } } file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ExportModelOperationMetadata); i { + switch v := v.(*UpdateExplanationDatasetResponse); i { case 0: return &v.state case 1: diff --git a/aiplatform/apiv1/aiplatformpb/nas_job.pb.go b/aiplatform/apiv1/aiplatformpb/nas_job.pb.go index c619b76b8b6f..0f3824d15754 100755 --- a/aiplatform/apiv1/aiplatformpb/nas_job.pb.go +++ b/aiplatform/apiv1/aiplatformpb/nas_job.pb.go @@ -388,7 +388,7 @@ func (x *NasJob) GetEnableRestrictedImageTraining() bool { return false } -// Represents a NasTrial details along with it's parameters. If there is a +// Represents a NasTrial details along with its parameters. If there is a // corresponding train NasTrial, the train NasTrial is also returned. type NasTrialDetail struct { state protoimpl.MessageState diff --git a/aiplatform/apiv1/aiplatformpb/pipeline_job.pb.go b/aiplatform/apiv1/aiplatformpb/pipeline_job.pb.go index 5cbc44c8dd2d..85c78653f43a 100755 --- a/aiplatform/apiv1/aiplatformpb/pipeline_job.pb.go +++ b/aiplatform/apiv1/aiplatformpb/pipeline_job.pb.go @@ -159,6 +159,9 @@ type PipelineJob struct { // characters, underscores and dashes. International characters are allowed. // // See https://goo.gl/xmQnxf for more information and examples of labels. + // + // Note there is some reserved label key for Vertex AI Pipelines. + // - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided. Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` // Runtime config of the pipeline. RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"` @@ -189,6 +192,15 @@ type PipelineJob struct { // Training or Dataflow job. If left unspecified, the workload is not peered // with any network. Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"` + // A list of names for the reserved ip ranges under the VPC network + // that can be used for this Pipeline Job's workload. + // + // If set, we will deploy the Pipeline Job's workload within the provided ip + // ranges. Otherwise, the job will be deployed to any ip ranges under the + // provided VPC network. + // + // Example: ['vertex-ai-ip-range']. + ReservedIpRanges []string `protobuf:"bytes,25,rep,name=reserved_ip_ranges,json=reservedIpRanges,proto3" json:"reserved_ip_ranges,omitempty"` // A template uri from where the // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec], // if empty, will be downloaded. @@ -336,6 +348,13 @@ func (x *PipelineJob) GetNetwork() string { return "" } +func (x *PipelineJob) GetReservedIpRanges() []string { + if x != nil { + return x.ReservedIpRanges + } + return nil +} + func (x *PipelineJob) GetTemplateUri() string { if x != nil { return x.TemplateUri @@ -1213,7 +1232,7 @@ var file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDesc = []byte{ 0x67, 0x6c, 0x65, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2f, 0x74, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61, 0x6d, 0x70, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x1a, 0x17, 0x67, 0x6f, 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b/aiplatform/apiv1/aiplatformpb/tensorboard_service.pb.go @@ -155,107 +155,6 @@ func (x *GetTensorboardRequest) GetName() string { return "" } -// Request message for [TensorboardService.GetTensorboardUsage][]. -type ReadTensorboardUsageRequest struct { - state protoimpl.MessageState - sizeCache protoimpl.SizeCache - unknownFields protoimpl.UnknownFields - - // Required. The name of the Tensorboard resource. - // Format: - // `projects/{project}/locations/{location}/tensorboards/{tensorboard}` - Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"` -} - -func (x *ReadTensorboardUsageRequest) Reset() { - *x = ReadTensorboardUsageRequest{} - if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[2] - ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) - ms.StoreMessageInfo(mi) - } -} - -func (x *ReadTensorboardUsageRequest) String() string { - return protoimpl.X.MessageStringOf(x) -} - -func (*ReadTensorboardUsageRequest) ProtoMessage() {} - -func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_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 ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead. -func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{2} -} - -func (x *ReadTensorboardUsageRequest) GetTensorboard() string { - if x != nil { - return x.Tensorboard - } - return "" -} - -// Response message for -// [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage]. -type ReadTensorboardUsageResponse struct { - state protoimpl.MessageState - sizeCache protoimpl.SizeCache - unknownFields protoimpl.UnknownFields - - // Maps year-month (YYYYMM) string to per month usage data. - MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData `protobuf:"bytes,1,rep,name=monthly_usage_data,json=monthlyUsageData,proto3" json:"monthly_usage_data,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` -} - -func (x *ReadTensorboardUsageResponse) Reset() { - *x = ReadTensorboardUsageResponse{} - if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[3] - ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) - ms.StoreMessageInfo(mi) - } -} - -func (x *ReadTensorboardUsageResponse) String() string { - return protoimpl.X.MessageStringOf(x) -} - -func (*ReadTensorboardUsageResponse) ProtoMessage() {} - -func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_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 ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead. -func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{3} -} - -func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData { - if x != nil { - return x.MonthlyUsageData - } - return nil -} - // Request message for // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1.TensorboardService.ListTensorboards]. type ListTensorboardsRequest struct { @@ -291,7 +190,7 @@ type ListTensorboardsRequest struct { func (x *ListTensorboardsRequest) Reset() { *x = ListTensorboardsRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[4] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[2] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -304,7 +203,7 @@ func (x *ListTensorboardsRequest) String() string { func (*ListTensorboardsRequest) ProtoMessage() {} func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[4] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[2] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -317,7 +216,7 @@ func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead. func (*ListTensorboardsRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{4} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{2} } func (x *ListTensorboardsRequest) GetParent() string { @@ -381,7 +280,7 @@ type ListTensorboardsResponse struct { func (x *ListTensorboardsResponse) Reset() { *x = ListTensorboardsResponse{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[5] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[3] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -394,7 +293,7 @@ func (x *ListTensorboardsResponse) String() string { func (*ListTensorboardsResponse) ProtoMessage() {} func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[5] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[3] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -407,7 +306,7 @@ func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message { // Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead. func (*ListTensorboardsResponse) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{5} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{3} } func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard { @@ -447,7 +346,7 @@ type UpdateTensorboardRequest struct { func (x *UpdateTensorboardRequest) Reset() { *x = UpdateTensorboardRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[6] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[4] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -460,7 +359,7 @@ func (x *UpdateTensorboardRequest) String() string { func (*UpdateTensorboardRequest) ProtoMessage() {} func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[6] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[4] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -473,7 +372,7 @@ func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead. func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{6} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{4} } func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask { @@ -506,7 +405,7 @@ type DeleteTensorboardRequest struct { func (x *DeleteTensorboardRequest) Reset() { *x = DeleteTensorboardRequest{} if protoimpl.UnsafeEnabled { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[7] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[5] ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) ms.StoreMessageInfo(mi) } @@ -519,7 +418,7 @@ func (x *DeleteTensorboardRequest) String() string { func (*DeleteTensorboardRequest) ProtoMessage() {} func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message { - mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[7] + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[5] if protoimpl.UnsafeEnabled && x != nil { ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) if ms.LoadMessageInfo() == nil { @@ -532,7 +431,7 @@ func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message { // Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead. func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{7} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{5} } func (x *DeleteTensorboardRequest) GetName() string { @@ -542,6 +441,108 @@ func (x *DeleteTensorboardRequest) GetName() string { return "" } +// Request message for +// [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage]. +type ReadTensorboardUsageRequest struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Required. The name of the Tensorboard resource. + // Format: + // `projects/{project}/locations/{location}/tensorboards/{tensorboard}` + Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"` +} + +func (x *ReadTensorboardUsageRequest) Reset() { + *x = ReadTensorboardUsageRequest{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[6] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ReadTensorboardUsageRequest) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ReadTensorboardUsageRequest) ProtoMessage() {} + +func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_tensorboard_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 ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead. +func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{6} +} + +func (x *ReadTensorboardUsageRequest) GetTensorboard() string { + if x != nil { + return x.Tensorboard + } + return "" +} + +// Response message for +// [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage]. +type ReadTensorboardUsageResponse struct { + state protoimpl.MessageState + sizeCache protoimpl.SizeCache + unknownFields protoimpl.UnknownFields + + // Maps year-month (YYYYMM) string to per month usage data. + MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData `protobuf:"bytes,1,rep,name=monthly_usage_data,json=monthlyUsageData,proto3" json:"monthly_usage_data,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` +} + +func (x *ReadTensorboardUsageResponse) Reset() { + *x = ReadTensorboardUsageResponse{} + if protoimpl.UnsafeEnabled { + mi := &file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[7] + ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) + ms.StoreMessageInfo(mi) + } +} + +func (x *ReadTensorboardUsageResponse) String() string { + return protoimpl.X.MessageStringOf(x) +} + +func (*ReadTensorboardUsageResponse) ProtoMessage() {} + +func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message { + mi := &file_google_cloud_aiplatform_v1_tensorboard_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 ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead. +func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int) { + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{7} +} + +func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData { + if x != nil { + return x.MonthlyUsageData + } + return nil +} + // Request message for // [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment]. type CreateTensorboardExperimentRequest struct { @@ -2864,7 +2865,7 @@ func (x *ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect() protorefl // Deprecated: Use ReadTensorboardUsageResponse_PerUserUsageData.ProtoReflect.Descriptor instead. func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{3, 0} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{7, 0} } func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetUsername() string { @@ -2920,7 +2921,7 @@ func (x *ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect() protoref // Deprecated: Use ReadTensorboardUsageResponse_PerMonthUsageData.ProtoReflect.Descriptor instead. func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor() ([]byte, []int) { - return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{3, 1} + return file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDescGZIP(), []int{7, 1} } func (x *ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData() []*ReadTensorboardUsageResponse_PerUserUsageData { @@ -2987,89 +2988,89 @@ var file_google_cloud_aiplatform_v1_tensorboard_service_proto_rawDesc = []byte{ 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x42, 0x2d, 0xe0, 0x41, 0x02, 0xfa, 0x41, 0x27, 0x0a, 0x25, 0x61, 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 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(*DeleteTensorboardRequest)(nil), // 7: google.cloud.aiplatform.v1.DeleteTensorboardRequest + (*ListTensorboardsRequest)(nil), // 2: google.cloud.aiplatform.v1.ListTensorboardsRequest + (*ListTensorboardsResponse)(nil), // 3: google.cloud.aiplatform.v1.ListTensorboardsResponse + (*UpdateTensorboardRequest)(nil), // 4: google.cloud.aiplatform.v1.UpdateTensorboardRequest + (*DeleteTensorboardRequest)(nil), // 5: google.cloud.aiplatform.v1.DeleteTensorboardRequest + (*ReadTensorboardUsageRequest)(nil), // 6: google.cloud.aiplatform.v1.ReadTensorboardUsageRequest + (*ReadTensorboardUsageResponse)(nil), // 7: google.cloud.aiplatform.v1.ReadTensorboardUsageResponse (*CreateTensorboardExperimentRequest)(nil), // 8: google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest (*GetTensorboardExperimentRequest)(nil), // 9: google.cloud.aiplatform.v1.GetTensorboardExperimentRequest (*ListTensorboardExperimentsRequest)(nil), // 10: google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest @@ -4054,11 +4055,11 @@ var file_google_cloud_aiplatform_v1_tensorboard_service_proto_goTypes = []interf } var file_google_cloud_aiplatform_v1_tensorboard_service_proto_depIdxs = []int32{ 47, // 0: google.cloud.aiplatform.v1.CreateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1.Tensorboard - 46, // 1: google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.monthly_usage_data:type_name -> google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry - 48, // 2: google.cloud.aiplatform.v1.ListTensorboardsRequest.read_mask:type_name -> google.protobuf.FieldMask - 47, // 3: google.cloud.aiplatform.v1.ListTensorboardsResponse.tensorboards:type_name -> google.cloud.aiplatform.v1.Tensorboard - 48, // 4: google.cloud.aiplatform.v1.UpdateTensorboardRequest.update_mask:type_name -> google.protobuf.FieldMask - 47, // 5: google.cloud.aiplatform.v1.UpdateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1.Tensorboard + 48, // 1: google.cloud.aiplatform.v1.ListTensorboardsRequest.read_mask:type_name -> google.protobuf.FieldMask + 47, // 2: google.cloud.aiplatform.v1.ListTensorboardsResponse.tensorboards:type_name -> google.cloud.aiplatform.v1.Tensorboard + 48, // 3: google.cloud.aiplatform.v1.UpdateTensorboardRequest.update_mask:type_name -> google.protobuf.FieldMask + 47, // 4: google.cloud.aiplatform.v1.UpdateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1.Tensorboard + 46, // 5: google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.monthly_usage_data:type_name -> google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry 49, // 6: google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1.TensorboardExperiment 48, // 7: google.cloud.aiplatform.v1.ListTensorboardExperimentsRequest.read_mask:type_name -> google.protobuf.FieldMask 49, // 8: google.cloud.aiplatform.v1.ListTensorboardExperimentsResponse.tensorboard_experiments:type_name -> google.cloud.aiplatform.v1.TensorboardExperiment @@ -4090,10 +4091,10 @@ var file_google_cloud_aiplatform_v1_tensorboard_service_proto_depIdxs = []int32{ 45, // 34: google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry.value:type_name -> google.cloud.aiplatform.v1.ReadTensorboardUsageResponse.PerMonthUsageData 0, // 35: google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard:input_type -> google.cloud.aiplatform.v1.CreateTensorboardRequest 1, // 36: google.cloud.aiplatform.v1.TensorboardService.GetTensorboard:input_type -> google.cloud.aiplatform.v1.GetTensorboardRequest - 2, // 37: google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage:input_type -> google.cloud.aiplatform.v1.ReadTensorboardUsageRequest - 6, // 38: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard:input_type -> google.cloud.aiplatform.v1.UpdateTensorboardRequest - 4, // 39: google.cloud.aiplatform.v1.TensorboardService.ListTensorboards:input_type -> google.cloud.aiplatform.v1.ListTensorboardsRequest - 7, // 40: google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard:input_type -> google.cloud.aiplatform.v1.DeleteTensorboardRequest + 4, // 37: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard:input_type -> google.cloud.aiplatform.v1.UpdateTensorboardRequest + 2, // 38: google.cloud.aiplatform.v1.TensorboardService.ListTensorboards:input_type -> google.cloud.aiplatform.v1.ListTensorboardsRequest + 5, // 39: google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard:input_type -> google.cloud.aiplatform.v1.DeleteTensorboardRequest + 6, // 40: google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage:input_type -> google.cloud.aiplatform.v1.ReadTensorboardUsageRequest 8, // 41: google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1.CreateTensorboardExperimentRequest 9, // 42: google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment:input_type -> google.cloud.aiplatform.v1.GetTensorboardExperimentRequest 12, // 43: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1.UpdateTensorboardExperimentRequest @@ -4119,10 +4120,10 @@ var file_google_cloud_aiplatform_v1_tensorboard_service_proto_depIdxs = []int32{ 40, // 63: google.cloud.aiplatform.v1.TensorboardService.ExportTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1.ExportTensorboardTimeSeriesDataRequest 56, // 64: google.cloud.aiplatform.v1.TensorboardService.CreateTensorboard:output_type -> google.longrunning.Operation 47, // 65: google.cloud.aiplatform.v1.TensorboardService.GetTensorboard:output_type -> google.cloud.aiplatform.v1.Tensorboard - 3, // 66: google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage:output_type -> google.cloud.aiplatform.v1.ReadTensorboardUsageResponse - 56, // 67: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard:output_type -> google.longrunning.Operation - 5, // 68: google.cloud.aiplatform.v1.TensorboardService.ListTensorboards:output_type -> google.cloud.aiplatform.v1.ListTensorboardsResponse - 56, // 69: google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard:output_type -> google.longrunning.Operation + 56, // 66: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboard:output_type -> google.longrunning.Operation + 3, // 67: google.cloud.aiplatform.v1.TensorboardService.ListTensorboards:output_type -> google.cloud.aiplatform.v1.ListTensorboardsResponse + 56, // 68: google.cloud.aiplatform.v1.TensorboardService.DeleteTensorboard:output_type -> google.longrunning.Operation + 7, // 69: google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage:output_type -> google.cloud.aiplatform.v1.ReadTensorboardUsageResponse 49, // 70: google.cloud.aiplatform.v1.TensorboardService.CreateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1.TensorboardExperiment 49, // 71: google.cloud.aiplatform.v1.TensorboardService.GetTensorboardExperiment:output_type -> google.cloud.aiplatform.v1.TensorboardExperiment 49, // 72: google.cloud.aiplatform.v1.TensorboardService.UpdateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1.TensorboardExperiment @@ -4190,7 +4191,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardUsageRequest); i { + switch v := v.(*ListTensorboardsRequest); i { case 0: return &v.state case 1: @@ -4202,7 +4203,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ReadTensorboardUsageResponse); i { + switch v := v.(*ListTensorboardsResponse); i { case 0: return &v.state case 1: @@ -4214,7 +4215,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardsRequest); i { + switch v := v.(*UpdateTensorboardRequest); i { case 0: return &v.state case 1: @@ -4226,7 +4227,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*ListTensorboardsResponse); i { + switch v := v.(*DeleteTensorboardRequest); i { case 0: return &v.state case 1: @@ -4238,7 +4239,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*UpdateTensorboardRequest); i { + switch v := v.(*ReadTensorboardUsageRequest); i { case 0: return &v.state case 1: @@ -4250,7 +4251,7 @@ func file_google_cloud_aiplatform_v1_tensorboard_service_proto_init() { } } file_google_cloud_aiplatform_v1_tensorboard_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { - switch v := v.(*DeleteTensorboardRequest); i { + switch v := v.(*ReadTensorboardUsageResponse); i { case 0: return &v.state case 1: @@ -4754,14 +4755,14 @@ type TensorboardServiceClient interface { CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) // Gets a Tensorboard. GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error) - // Returns a list of monthly active users for a given TensorBoard instance. - ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error) // Updates a Tensorboard. UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) // Lists Tensorboards in a Location. ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error) // Deletes a Tensorboard. DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) + // Returns a list of monthly active users for a given TensorBoard instance. + ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error) // Creates a TensorboardExperiment. CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error) // Gets a TensorboardExperiment. @@ -4850,15 +4851,6 @@ func (c *tensorboardServiceClient) GetTensorboard(ctx context.Context, in *GetTe return out, nil } -func (c *tensorboardServiceClient) ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error) { - out := new(ReadTensorboardUsageResponse) - err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.TensorboardService/ReadTensorboardUsage", in, out, opts...) - if err != nil { - return nil, err - } - return out, nil -} - func (c *tensorboardServiceClient) UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { out := new(longrunningpb.Operation) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.TensorboardService/UpdateTensorboard", in, out, opts...) @@ -4886,6 +4878,15 @@ func (c *tensorboardServiceClient) DeleteTensorboard(ctx context.Context, in *De return out, nil } +func (c *tensorboardServiceClient) ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error) { + out := new(ReadTensorboardUsageResponse) + err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.TensorboardService/ReadTensorboardUsage", in, out, opts...) + if err != nil { + return nil, err + } + return out, nil +} + func (c *tensorboardServiceClient) CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error) { out := new(TensorboardExperiment) err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.TensorboardService/CreateTensorboardExperiment", in, out, opts...) @@ -5122,14 +5123,14 @@ type TensorboardServiceServer interface { CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error) // Gets a Tensorboard. GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error) - // Returns a list of monthly active users for a given TensorBoard instance. - ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error) // Updates a Tensorboard. UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error) // Lists Tensorboards in a Location. ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error) // Deletes a Tensorboard. DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error) + // Returns a list of monthly active users for a given TensorBoard instance. + ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error) // Creates a TensorboardExperiment. CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error) // Gets a TensorboardExperiment. @@ -5202,9 +5203,6 @@ func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error) { return nil, status.Errorf(codes.Unimplemented, "method GetTensorboard not implemented") } -func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error) { - return nil, status.Errorf(codes.Unimplemented, "method ReadTensorboardUsage not implemented") -} func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error) { return nil, status.Errorf(codes.Unimplemented, "method UpdateTensorboard not implemented") } @@ -5214,6 +5212,9 @@ func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error) { return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboard not implemented") } +func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error) { + return nil, status.Errorf(codes.Unimplemented, "method ReadTensorboardUsage not implemented") +} func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error) { return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardExperiment not implemented") } @@ -5324,24 +5325,6 @@ func _TensorboardService_GetTensorboard_Handler(srv interface{}, ctx context.Con return interceptor(ctx, in, info, handler) } -func _TensorboardService_ReadTensorboardUsage_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { - in := new(ReadTensorboardUsageRequest) - if err := dec(in); err != nil { - return nil, err - } - if interceptor == nil { - return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, in) - } - info := &grpc.UnaryServerInfo{ - Server: srv, - FullMethod: "/google.cloud.aiplatform.v1.TensorboardService/ReadTensorboardUsage", - } - handler := func(ctx context.Context, req interface{}) (interface{}, error) { - return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, req.(*ReadTensorboardUsageRequest)) - } - return interceptor(ctx, in, info, handler) -} - func _TensorboardService_UpdateTensorboard_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(UpdateTensorboardRequest) if err := dec(in); err != nil { @@ -5396,6 +5379,24 @@ func _TensorboardService_DeleteTensorboard_Handler(srv interface{}, ctx context. return interceptor(ctx, in, info, handler) } +func _TensorboardService_ReadTensorboardUsage_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { + in := new(ReadTensorboardUsageRequest) + if err := dec(in); err != nil { + return nil, err + } + if interceptor == nil { + return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, in) + } + info := &grpc.UnaryServerInfo{ + Server: srv, + FullMethod: "/google.cloud.aiplatform.v1.TensorboardService/ReadTensorboardUsage", + } + handler := func(ctx context.Context, req interface{}) (interface{}, error) { + return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, req.(*ReadTensorboardUsageRequest)) + } + return interceptor(ctx, in, info, handler) +} + func _TensorboardService_CreateTensorboardExperiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { in := new(CreateTensorboardExperimentRequest) if err := dec(in); err != nil { @@ -5825,10 +5826,6 @@ var _TensorboardService_serviceDesc = grpc.ServiceDesc{ MethodName: "GetTensorboard", Handler: _TensorboardService_GetTensorboard_Handler, }, - { - MethodName: "ReadTensorboardUsage", - Handler: _TensorboardService_ReadTensorboardUsage_Handler, - }, { MethodName: "UpdateTensorboard", Handler: _TensorboardService_UpdateTensorboard_Handler, @@ -5841,6 +5838,10 @@ var _TensorboardService_serviceDesc = grpc.ServiceDesc{ MethodName: "DeleteTensorboard", Handler: _TensorboardService_DeleteTensorboard_Handler, }, + { + MethodName: "ReadTensorboardUsage", + Handler: _TensorboardService_ReadTensorboardUsage_Handler, + }, { MethodName: "CreateTensorboardExperiment", Handler: _TensorboardService_CreateTensorboardExperiment_Handler, diff --git a/aiplatform/apiv1/dataset_client.go b/aiplatform/apiv1/dataset_client.go index b345875953d5..ee1d84dba480 100755 --- a/aiplatform/apiv1/dataset_client.go +++ b/aiplatform/apiv1/dataset_client.go @@ -53,6 +53,7 @@ type DatasetCallOptions struct { ListDataItems []gax.CallOption SearchDataItems []gax.CallOption ListSavedQueries []gax.CallOption + DeleteSavedQuery []gax.CallOption GetAnnotationSpec []gax.CallOption ListAnnotations []gax.CallOption GetLocation []gax.CallOption @@ -91,6 +92,7 @@ func defaultDatasetCallOptions() *DatasetCallOptions { ListDataItems: []gax.CallOption{}, SearchDataItems: []gax.CallOption{}, ListSavedQueries: []gax.CallOption{}, + DeleteSavedQuery: []gax.CallOption{}, GetAnnotationSpec: []gax.CallOption{}, ListAnnotations: []gax.CallOption{}, GetLocation: []gax.CallOption{}, @@ -125,6 +127,8 @@ type internalDatasetClient interface { ListDataItems(context.Context, *aiplatformpb.ListDataItemsRequest, ...gax.CallOption) *DataItemIterator SearchDataItems(context.Context, *aiplatformpb.SearchDataItemsRequest, ...gax.CallOption) *DataItemViewIterator ListSavedQueries(context.Context, *aiplatformpb.ListSavedQueriesRequest, ...gax.CallOption) *SavedQueryIterator + DeleteSavedQuery(context.Context, *aiplatformpb.DeleteSavedQueryRequest, ...gax.CallOption) (*DeleteSavedQueryOperation, error) + DeleteSavedQueryOperation(name string) *DeleteSavedQueryOperation GetAnnotationSpec(context.Context, *aiplatformpb.GetAnnotationSpecRequest, ...gax.CallOption) (*aiplatformpb.AnnotationSpec, error) ListAnnotations(context.Context, *aiplatformpb.ListAnnotationsRequest, ...gax.CallOption) *AnnotationIterator GetLocation(context.Context, *locationpb.GetLocationRequest, ...gax.CallOption) (*locationpb.Location, error) @@ -142,8 +146,7 @@ type internalDatasetClient interface { // DatasetClient is a client for interacting with Vertex AI API. // Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls. // -// The service that handles the CRUD of Vertex AI Dataset and its child -// resources. +// The service that manages Vertex AI Dataset and its child resources. type DatasetClient struct { // The internal transport-dependent client. internalClient internalDatasetClient @@ -254,6 +257,17 @@ func (c *DatasetClient) ListSavedQueries(ctx context.Context, req *aiplatformpb. return c.internalClient.ListSavedQueries(ctx, req, opts...) } +// DeleteSavedQuery deletes a SavedQuery. +func (c *DatasetClient) DeleteSavedQuery(ctx context.Context, req *aiplatformpb.DeleteSavedQueryRequest, opts ...gax.CallOption) (*DeleteSavedQueryOperation, error) { + return c.internalClient.DeleteSavedQuery(ctx, req, opts...) +} + +// DeleteSavedQueryOperation returns a new DeleteSavedQueryOperation from a given name. +// The name must be that of a previously created DeleteSavedQueryOperation, possibly from a different process. +func (c *DatasetClient) DeleteSavedQueryOperation(name string) *DeleteSavedQueryOperation { + return c.internalClient.DeleteSavedQueryOperation(name) +} + // GetAnnotationSpec gets an AnnotationSpec. func (c *DatasetClient) GetAnnotationSpec(ctx context.Context, req *aiplatformpb.GetAnnotationSpecRequest, opts ...gax.CallOption) (*aiplatformpb.AnnotationSpec, error) { return c.internalClient.GetAnnotationSpec(ctx, req, opts...) @@ -356,8 +370,7 @@ type datasetGRPCClient struct { // NewDatasetClient creates a new dataset service client based on gRPC. // The returned client must be Closed when it is done being used to clean up its underlying connections. // -// The service that handles the CRUD of Vertex AI Dataset and its child -// resources. +// The service that manages Vertex AI Dataset and its child resources. func NewDatasetClient(ctx context.Context, opts ...option.ClientOption) (*DatasetClient, error) { clientOpts := defaultDatasetGRPCClientOptions() if newDatasetClientHook != nil { @@ -713,6 +726,25 @@ func (c *datasetGRPCClient) ListSavedQueries(ctx context.Context, req *aiplatfor return it } +func (c *datasetGRPCClient) DeleteSavedQuery(ctx context.Context, req *aiplatformpb.DeleteSavedQueryRequest, opts ...gax.CallOption) (*DeleteSavedQueryOperation, error) { + md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) + + ctx = insertMetadata(ctx, c.xGoogMetadata, md) + opts = append((*c.CallOptions).DeleteSavedQuery[0:len((*c.CallOptions).DeleteSavedQuery):len((*c.CallOptions).DeleteSavedQuery)], opts...) + var resp *longrunningpb.Operation + err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { + var err error + resp, err = c.datasetClient.DeleteSavedQuery(ctx, req, settings.GRPC...) + return err + }, opts...) + if err != nil { + return nil, err + } + return &DeleteSavedQueryOperation{ + lro: longrunning.InternalNewOperation(*c.LROClient, resp), + }, nil +} + func (c *datasetGRPCClient) GetAnnotationSpec(ctx context.Context, req *aiplatformpb.GetAnnotationSpecRequest, opts ...gax.CallOption) (*aiplatformpb.AnnotationSpec, error) { md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))) @@ -1120,6 +1152,64 @@ func (op *DeleteDatasetOperation) Name() string { return op.lro.Name() } +// DeleteSavedQueryOperation manages a long-running operation from DeleteSavedQuery. +type DeleteSavedQueryOperation struct { + lro *longrunning.Operation +} + +// DeleteSavedQueryOperation returns a new DeleteSavedQueryOperation from a given name. +// The name must be that of a previously created DeleteSavedQueryOperation, possibly from a different process. +func (c *datasetGRPCClient) DeleteSavedQueryOperation(name string) *DeleteSavedQueryOperation { + return &DeleteSavedQueryOperation{ + lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}), + } +} + +// Wait blocks until the long-running operation is completed, returning the response and any errors encountered. +// +// See documentation of Poll for error-handling information. +func (op *DeleteSavedQueryOperation) Wait(ctx context.Context, opts ...gax.CallOption) error { + return op.lro.WaitWithInterval(ctx, nil, time.Minute, opts...) +} + +// Poll fetches the latest state of the long-running operation. +// +// Poll also fetches the latest metadata, which can be retrieved by Metadata. +// +// If Poll fails, the error is returned and op is unmodified. If Poll succeeds and +// the operation has completed with failure, the error is returned and op.Done will return true. +// If Poll succeeds and the operation has completed successfully, +// op.Done will return true, and the response of the operation is returned. +// If Poll succeeds and the operation has not completed, the returned response and error are both nil. +func (op *DeleteSavedQueryOperation) Poll(ctx context.Context, opts ...gax.CallOption) error { + return op.lro.Poll(ctx, nil, opts...) +} + +// Metadata returns metadata associated with the long-running operation. +// Metadata itself does not contact the server, but Poll does. +// To get the latest metadata, call this method after a successful call to Poll. +// If the metadata is not available, the returned metadata and error are both nil. +func (op *DeleteSavedQueryOperation) Metadata() (*aiplatformpb.DeleteOperationMetadata, error) { + var meta aiplatformpb.DeleteOperationMetadata + if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata { + return nil, nil + } else if err != nil { + return nil, err + } + return &meta, nil +} + +// Done reports whether the long-running operation has completed. +func (op *DeleteSavedQueryOperation) Done() bool { + return op.lro.Done() +} + +// Name returns the name of the long-running operation. +// The name is assigned by the server and is unique within the service from which the operation is created. +func (op *DeleteSavedQueryOperation) Name() string { + return op.lro.Name() +} + // ExportDataOperation manages a long-running operation from ExportData. type ExportDataOperation struct { lro *longrunning.Operation diff --git a/aiplatform/apiv1/dataset_client_example_test.go b/aiplatform/apiv1/dataset_client_example_test.go index 7b89151ec282..e909a0a4fde9 100644 --- a/aiplatform/apiv1/dataset_client_example_test.go +++ b/aiplatform/apiv1/dataset_client_example_test.go @@ -336,6 +336,34 @@ func ExampleDatasetClient_ListSavedQueries() { } } +func ExampleDatasetClient_DeleteSavedQuery() { + ctx := context.Background() + // This snippet has been automatically generated and should be regarded as a code template only. + // It will require modifications to work: + // - It may require correct/in-range values for request initialization. + // - It may require specifying regional endpoints when creating the service client as shown in: + // https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options + c, err := aiplatform.NewDatasetClient(ctx) + if err != nil { + // TODO: Handle error. + } + defer c.Close() + + req := &aiplatformpb.DeleteSavedQueryRequest{ + // TODO: Fill request struct fields. + // See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1/aiplatformpb#DeleteSavedQueryRequest. + } + op, err := c.DeleteSavedQuery(ctx, req) + if err != nil { + // TODO: Handle error. + } + + err = op.Wait(ctx) + if err != nil { + // TODO: Handle error. + } +} + func ExampleDatasetClient_GetAnnotationSpec() { ctx := context.Background() // This snippet has been automatically generated and should be regarded as a code template only. diff --git a/aiplatform/apiv1/gapic_metadata.json b/aiplatform/apiv1/gapic_metadata.json index 4e9c34c71705..4f13e1a79b4c 100644 --- a/aiplatform/apiv1/gapic_metadata.json +++ b/aiplatform/apiv1/gapic_metadata.json @@ -30,6 +30,11 @@ "DeleteOperation" ] }, + "DeleteSavedQuery": { + "methods": [ + "DeleteSavedQuery" + ] + }, "ExportData": { "methods": [ "ExportData" diff --git a/aiplatform/apiv1/tensorboard_client.go b/aiplatform/apiv1/tensorboard_client.go index 8046f52b967b..f3d2daf79d50 100755 --- a/aiplatform/apiv1/tensorboard_client.go +++ b/aiplatform/apiv1/tensorboard_client.go @@ -45,10 +45,10 @@ var newTensorboardClientHook clientHook type TensorboardCallOptions struct { CreateTensorboard []gax.CallOption GetTensorboard []gax.CallOption - ReadTensorboardUsage []gax.CallOption UpdateTensorboard []gax.CallOption ListTensorboards []gax.CallOption DeleteTensorboard []gax.CallOption + ReadTensorboardUsage []gax.CallOption CreateTensorboardExperiment []gax.CallOption GetTensorboardExperiment []gax.CallOption UpdateTensorboardExperiment []gax.CallOption @@ -100,10 +100,10 @@ func defaultTensorboardCallOptions() *TensorboardCallOptions { return &TensorboardCallOptions{ CreateTensorboard: []gax.CallOption{}, GetTensorboard: []gax.CallOption{}, - ReadTensorboardUsage: []gax.CallOption{}, UpdateTensorboard: []gax.CallOption{}, ListTensorboards: []gax.CallOption{}, DeleteTensorboard: []gax.CallOption{}, + ReadTensorboardUsage: []gax.CallOption{}, CreateTensorboardExperiment: []gax.CallOption{}, GetTensorboardExperiment: []gax.CallOption{}, UpdateTensorboardExperiment: []gax.CallOption{}, @@ -148,12 +148,12 @@ type internalTensorboardClient interface { CreateTensorboard(context.Context, *aiplatformpb.CreateTensorboardRequest, ...gax.CallOption) (*CreateTensorboardOperation, error) CreateTensorboardOperation(name string) *CreateTensorboardOperation GetTensorboard(context.Context, *aiplatformpb.GetTensorboardRequest, ...gax.CallOption) (*aiplatformpb.Tensorboard, error) - ReadTensorboardUsage(context.Context, *aiplatformpb.ReadTensorboardUsageRequest, ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) UpdateTensorboard(context.Context, *aiplatformpb.UpdateTensorboardRequest, ...gax.CallOption) (*UpdateTensorboardOperation, error) UpdateTensorboardOperation(name string) *UpdateTensorboardOperation ListTensorboards(context.Context, *aiplatformpb.ListTensorboardsRequest, ...gax.CallOption) *TensorboardIterator DeleteTensorboard(context.Context, *aiplatformpb.DeleteTensorboardRequest, ...gax.CallOption) (*DeleteTensorboardOperation, error) DeleteTensorboardOperation(name string) *DeleteTensorboardOperation + ReadTensorboardUsage(context.Context, *aiplatformpb.ReadTensorboardUsageRequest, ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) CreateTensorboardExperiment(context.Context, *aiplatformpb.CreateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) GetTensorboardExperiment(context.Context, *aiplatformpb.GetTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) UpdateTensorboardExperiment(context.Context, *aiplatformpb.UpdateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) @@ -248,11 +248,6 @@ func (c *TensorboardClient) GetTensorboard(ctx context.Context, req *aiplatformp return c.internalClient.GetTensorboard(ctx, req, opts...) } -// ReadTensorboardUsage returns a list of monthly active users for a given TensorBoard instance. -func (c *TensorboardClient) ReadTensorboardUsage(ctx context.Context, req *aiplatformpb.ReadTensorboardUsageRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) { - return c.internalClient.ReadTensorboardUsage(ctx, req, opts...) -} - // UpdateTensorboard updates a Tensorboard. func (c *TensorboardClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) { return c.internalClient.UpdateTensorboard(ctx, req, opts...) @@ -280,6 +275,11 @@ func (c *TensorboardClient) DeleteTensorboardOperation(name string) *DeleteTenso return c.internalClient.DeleteTensorboardOperation(name) } +// ReadTensorboardUsage returns a list of monthly active users for a given TensorBoard instance. +func (c *TensorboardClient) ReadTensorboardUsage(ctx context.Context, req *aiplatformpb.ReadTensorboardUsageRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) { + return c.internalClient.ReadTensorboardUsage(ctx, req, opts...) +} + // CreateTensorboardExperiment creates a TensorboardExperiment. func (c *TensorboardClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { return c.internalClient.CreateTensorboardExperiment(ctx, req, opts...) @@ -621,23 +621,6 @@ func (c *tensorboardGRPCClient) GetTensorboard(ctx context.Context, req *aiplatf return resp, nil } -func (c *tensorboardGRPCClient) ReadTensorboardUsage(ctx context.Context, req *aiplatformpb.ReadTensorboardUsageRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) { - md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard", url.QueryEscape(req.GetTensorboard()))) - - ctx = insertMetadata(ctx, c.xGoogMetadata, md) - opts = append((*c.CallOptions).ReadTensorboardUsage[0:len((*c.CallOptions).ReadTensorboardUsage):len((*c.CallOptions).ReadTensorboardUsage)], opts...) - var resp *aiplatformpb.ReadTensorboardUsageResponse - err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { - var err error - resp, err = c.tensorboardClient.ReadTensorboardUsage(ctx, req, settings.GRPC...) - return err - }, opts...) - if err != nil { - return nil, err - } - return resp, nil -} - func (c *tensorboardGRPCClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) { md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard.name", url.QueryEscape(req.GetTensorboard().GetName()))) @@ -721,6 +704,23 @@ func (c *tensorboardGRPCClient) DeleteTensorboard(ctx context.Context, req *aipl }, nil } +func (c *tensorboardGRPCClient) ReadTensorboardUsage(ctx context.Context, req *aiplatformpb.ReadTensorboardUsageRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardUsageResponse, error) { + md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard", url.QueryEscape(req.GetTensorboard()))) + + ctx = insertMetadata(ctx, c.xGoogMetadata, md) + opts = append((*c.CallOptions).ReadTensorboardUsage[0:len((*c.CallOptions).ReadTensorboardUsage):len((*c.CallOptions).ReadTensorboardUsage)], opts...) + var resp *aiplatformpb.ReadTensorboardUsageResponse + err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error { + var err error + resp, err = c.tensorboardClient.ReadTensorboardUsage(ctx, req, settings.GRPC...) + return err + }, opts...) + if err != nil { + return nil, err + } + return resp, nil +} + func (c *tensorboardGRPCClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) { md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent()))) diff --git a/aiplatform/apiv1/tensorboard_client_example_test.go b/aiplatform/apiv1/tensorboard_client_example_test.go index 22b2dab0ad72..666d12981ab2 100644 --- a/aiplatform/apiv1/tensorboard_client_example_test.go +++ b/aiplatform/apiv1/tensorboard_client_example_test.go @@ -99,31 +99,6 @@ func ExampleTensorboardClient_GetTensorboard() { _ = resp } -func ExampleTensorboardClient_ReadTensorboardUsage() { - ctx := context.Background() - // This snippet has been automatically generated and should be regarded as a code template only. - // It will require modifications to work: - // - It may require correct/in-range values for request initialization. - // - It may require specifying regional endpoints when creating the service client as shown in: - // https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options - c, err := aiplatform.NewTensorboardClient(ctx) - if err != nil { - // TODO: Handle error. - } - defer c.Close() - - req := &aiplatformpb.ReadTensorboardUsageRequest{ - // TODO: Fill request struct fields. - // See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1/aiplatformpb#ReadTensorboardUsageRequest. - } - resp, err := c.ReadTensorboardUsage(ctx, req) - if err != nil { - // TODO: Handle error. - } - // TODO: Use resp. - _ = resp -} - func ExampleTensorboardClient_UpdateTensorboard() { ctx := context.Background() // This snippet has been automatically generated and should be regarded as a code template only. @@ -213,6 +188,31 @@ func ExampleTensorboardClient_DeleteTensorboard() { } } +func ExampleTensorboardClient_ReadTensorboardUsage() { + ctx := context.Background() + // This snippet has been automatically generated and should be regarded as a code template only. + // It will require modifications to work: + // - It may require correct/in-range values for request initialization. + // - It may require specifying regional endpoints when creating the service client as shown in: + // https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options + c, err := aiplatform.NewTensorboardClient(ctx) + if err != nil { + // TODO: Handle error. + } + defer c.Close() + + req := &aiplatformpb.ReadTensorboardUsageRequest{ + // TODO: Fill request struct fields. + // See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1/aiplatformpb#ReadTensorboardUsageRequest. + } + resp, err := c.ReadTensorboardUsage(ctx, req) + if err != nil { + // TODO: Handle error. + } + // TODO: Use resp. + _ = resp +} + func ExampleTensorboardClient_CreateTensorboardExperiment() { ctx := context.Background() // This snippet has been automatically generated and should be regarded as a code template only. diff --git a/internal/generated/snippets/aiplatform/apiv1/DatasetClient/DeleteSavedQuery/main.go b/internal/generated/snippets/aiplatform/apiv1/DatasetClient/DeleteSavedQuery/main.go new file mode 100644 index 000000000000..c56566a26c34 --- /dev/null +++ b/internal/generated/snippets/aiplatform/apiv1/DatasetClient/DeleteSavedQuery/main.go @@ -0,0 +1,56 @@ +// 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 +// +// https://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_gapic. DO NOT EDIT. + +// [START aiplatform_v1_generated_DatasetService_DeleteSavedQuery_sync] + +package main + +import ( + "context" + + aiplatform "cloud.google.com/go/aiplatform/apiv1" + aiplatformpb "cloud.google.com/go/aiplatform/apiv1/aiplatformpb" +) + +func main() { + ctx := context.Background() + // This snippet has been automatically generated and should be regarded as a code template only. + // It will require modifications to work: + // - It may require correct/in-range values for request initialization. + // - It may require specifying regional endpoints when creating the service client as shown in: + // https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options + c, err := aiplatform.NewDatasetClient(ctx) + if err != nil { + // TODO: Handle error. + } + defer c.Close() + + req := &aiplatformpb.DeleteSavedQueryRequest{ + // TODO: Fill request struct fields. + // See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1/aiplatformpb#DeleteSavedQueryRequest. + } + op, err := c.DeleteSavedQuery(ctx, req) + if err != nil { + // TODO: Handle error. + } + + err = op.Wait(ctx) + if err != nil { + // TODO: Handle error. + } +} + +// [END aiplatform_v1_generated_DatasetService_DeleteSavedQuery_sync] diff --git a/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json b/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json index 1f89525465b5..fea98daf6375 100644 --- a/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json +++ b/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json @@ -193,6 +193,52 @@ } ] }, + { + "regionTag": "aiplatform_v1_generated_DatasetService_DeleteSavedQuery_sync", + "title": "aiplatform DeleteSavedQuery Sample", + "description": "DeleteSavedQuery deletes a SavedQuery.", + "file": "DatasetClient/DeleteSavedQuery/main.go", + "language": "GO", + "clientMethod": { + "shortName": "DeleteSavedQuery", + "fullName": "google.cloud.aiplatform.v1.DatasetClient.DeleteSavedQuery", + "parameters": [ + { + "type": "context.Context", + "name": "ctx" + }, + { + "type": "aiplatformpb.DeleteSavedQueryRequest", + "name": "req" + }, + { + "type": "...gax.CallOption", + "name": "opts" + } + ], + "resultType": "DeleteSavedQueryOperation", + "client": { + "shortName": "DatasetClient", + "fullName": "google.cloud.aiplatform.v1.DatasetClient" + }, + "method": { + "shortName": "DeleteSavedQuery", + "fullName": "google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery", + "service": { + "shortName": "DatasetService", + "fullName": "google.cloud.aiplatform.v1.DatasetService" + } + } + }, + "origin": "API_DEFINITION", + "segments": [ + { + "start": 18, + "end": 56, + "type": "FULL" + } + ] + }, { "regionTag": "aiplatform_v1_generated_DatasetService_ExportData_sync", "title": "aiplatform ExportData Sample",