| // Copyright 2024 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.34.1 |
| // protoc v4.25.3 |
| // source: google/cloud/discoveryengine/v1beta/search_tuning_service.proto |
| |
| package discoveryenginepb |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| status "google.golang.org/genproto/googleapis/rpc/status" |
| grpc "google.golang.org/grpc" |
| codes "google.golang.org/grpc/codes" |
| status1 "google.golang.org/grpc/status" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // Request message for |
| // [SearchTuningService.TrainCustomModel][google.cloud.discoveryengine.v1beta.SearchTuningService.TrainCustomModel] |
| // method. |
| type TrainCustomModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Model training input. |
| // |
| // Types that are assignable to TrainingInput: |
| // |
| // *TrainCustomModelRequest_GcsTrainingInput_ |
| TrainingInput isTrainCustomModelRequest_TrainingInput `protobuf_oneof:"training_input"` |
| // Required. The resource name of the Data Store, such as |
| // `projects/*/locations/global/collections/default_collection/dataStores/default_data_store`. |
| // This field is used to identify the data store where to train the models. |
| DataStore string `protobuf:"bytes,1,opt,name=data_store,json=dataStore,proto3" json:"data_store,omitempty"` |
| // Model to be trained. Supported values are: |
| // |
| // - **search-tuning**: Fine tuning the search system based on data provided. |
| ModelType string `protobuf:"bytes,3,opt,name=model_type,json=modelType,proto3" json:"model_type,omitempty"` |
| // The desired location of errors incurred during the data ingestion and |
| // training. |
| ErrorConfig *ImportErrorConfig `protobuf:"bytes,4,opt,name=error_config,json=errorConfig,proto3" json:"error_config,omitempty"` |
| } |
| |
| func (x *TrainCustomModelRequest) Reset() { |
| *x = TrainCustomModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TrainCustomModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TrainCustomModelRequest) ProtoMessage() {} |
| |
| func (x *TrainCustomModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use TrainCustomModelRequest.ProtoReflect.Descriptor instead. |
| func (*TrainCustomModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (m *TrainCustomModelRequest) GetTrainingInput() isTrainCustomModelRequest_TrainingInput { |
| if m != nil { |
| return m.TrainingInput |
| } |
| return nil |
| } |
| |
| func (x *TrainCustomModelRequest) GetGcsTrainingInput() *TrainCustomModelRequest_GcsTrainingInput { |
| if x, ok := x.GetTrainingInput().(*TrainCustomModelRequest_GcsTrainingInput_); ok { |
| return x.GcsTrainingInput |
| } |
| return nil |
| } |
| |
| func (x *TrainCustomModelRequest) GetDataStore() string { |
| if x != nil { |
| return x.DataStore |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelRequest) GetModelType() string { |
| if x != nil { |
| return x.ModelType |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelRequest) GetErrorConfig() *ImportErrorConfig { |
| if x != nil { |
| return x.ErrorConfig |
| } |
| return nil |
| } |
| |
| type isTrainCustomModelRequest_TrainingInput interface { |
| isTrainCustomModelRequest_TrainingInput() |
| } |
| |
| type TrainCustomModelRequest_GcsTrainingInput_ struct { |
| // Cloud Storage training input. |
| GcsTrainingInput *TrainCustomModelRequest_GcsTrainingInput `protobuf:"bytes,2,opt,name=gcs_training_input,json=gcsTrainingInput,proto3,oneof"` |
| } |
| |
| func (*TrainCustomModelRequest_GcsTrainingInput_) isTrainCustomModelRequest_TrainingInput() {} |
| |
| // Response of the |
| // [TrainCustomModelRequest][google.cloud.discoveryengine.v1beta.TrainCustomModelRequest]. |
| // This message is returned by the google.longrunning.Operations.response field. |
| type TrainCustomModelResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // A sample of errors encountered while processing the data. |
| ErrorSamples []*status.Status `protobuf:"bytes,1,rep,name=error_samples,json=errorSamples,proto3" json:"error_samples,omitempty"` |
| // Echoes the destination for the complete errors in the request if set. |
| ErrorConfig *ImportErrorConfig `protobuf:"bytes,2,opt,name=error_config,json=errorConfig,proto3" json:"error_config,omitempty"` |
| // The trained model status. Possible values are: |
| // |
| // - **bad-data**: The training data quality is bad. |
| // - **no-improvement**: Tuning didn't improve performance. Won't deploy. |
| // - **in-progress**: Model training job creation is in progress. |
| // - **training**: Model is actively training. |
| // - **evaluating**: The model is evaluating trained metrics. |
| // - **indexing**: The model trained metrics are indexing. |
| // - **ready**: The model is ready for serving. |
| ModelStatus string `protobuf:"bytes,3,opt,name=model_status,json=modelStatus,proto3" json:"model_status,omitempty"` |
| // The metrics of the trained model. |
| Metrics map[string]float64 `protobuf:"bytes,4,rep,name=metrics,proto3" json:"metrics,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"fixed64,2,opt,name=value,proto3"` |
| } |
| |
| func (x *TrainCustomModelResponse) Reset() { |
| *x = TrainCustomModelResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TrainCustomModelResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TrainCustomModelResponse) ProtoMessage() {} |
| |
| func (x *TrainCustomModelResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use TrainCustomModelResponse.ProtoReflect.Descriptor instead. |
| func (*TrainCustomModelResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *TrainCustomModelResponse) GetErrorSamples() []*status.Status { |
| if x != nil { |
| return x.ErrorSamples |
| } |
| return nil |
| } |
| |
| func (x *TrainCustomModelResponse) GetErrorConfig() *ImportErrorConfig { |
| if x != nil { |
| return x.ErrorConfig |
| } |
| return nil |
| } |
| |
| func (x *TrainCustomModelResponse) GetModelStatus() string { |
| if x != nil { |
| return x.ModelStatus |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelResponse) GetMetrics() map[string]float64 { |
| if x != nil { |
| return x.Metrics |
| } |
| return nil |
| } |
| |
| // Metadata related to the progress of the TrainCustomModel operation. This is |
| // returned by the google.longrunning.Operation.metadata field. |
| type TrainCustomModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Operation create time. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Operation last update time. If the operation is done, this is also the |
| // finish time. |
| UpdateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| } |
| |
| func (x *TrainCustomModelMetadata) Reset() { |
| *x = TrainCustomModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TrainCustomModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TrainCustomModelMetadata) ProtoMessage() {} |
| |
| func (x *TrainCustomModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_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 TrainCustomModelMetadata.ProtoReflect.Descriptor instead. |
| func (*TrainCustomModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *TrainCustomModelMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *TrainCustomModelMetadata) GetUpdateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| // Cloud Storage training data input. |
| type TrainCustomModelRequest_GcsTrainingInput struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The Cloud Storage corpus data which could be associated in train data. |
| // The data path format is `gs://<bucket_to_data>/<jsonl_file_name>`. |
| // A newline delimited jsonl/ndjson file. |
| // |
| // For search-tuning model, each line should have the _id, title |
| // and text. Example: |
| // `{"_id": "doc1", title: "relevant doc", "text": "relevant text"}` |
| CorpusDataPath string `protobuf:"bytes,1,opt,name=corpus_data_path,json=corpusDataPath,proto3" json:"corpus_data_path,omitempty"` |
| // The gcs query data which could be associated in train data. |
| // The data path format is `gs://<bucket_to_data>/<jsonl_file_name>`. |
| // A newline delimited jsonl/ndjson file. |
| // |
| // For search-tuning model, each line should have the _id |
| // and text. Example: {"_id": "query1", "text": "example query"} |
| QueryDataPath string `protobuf:"bytes,2,opt,name=query_data_path,json=queryDataPath,proto3" json:"query_data_path,omitempty"` |
| // Cloud Storage training data path whose format should be |
| // `gs://<bucket_to_data>/<tsv_file_name>`. The file should be in tsv |
| // format. Each line should have the doc_id and query_id and score (number). |
| // |
| // For search-tuning model, it should have the query-id corpus-id |
| // score as tsv file header. The score should be a number in `[0, inf+)`. |
| // The larger the number is, the more relevant the pair is. Example: |
| // |
| // * `query-id\tcorpus-id\tscore` |
| // * `query1\tdoc1\t1` |
| TrainDataPath string `protobuf:"bytes,3,opt,name=train_data_path,json=trainDataPath,proto3" json:"train_data_path,omitempty"` |
| // Cloud Storage test data. Same format as train_data_path. If not provided, |
| // a random 80/20 train/test split will be performed on train_data_path. |
| TestDataPath string `protobuf:"bytes,4,opt,name=test_data_path,json=testDataPath,proto3" json:"test_data_path,omitempty"` |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) Reset() { |
| *x = TrainCustomModelRequest_GcsTrainingInput{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*TrainCustomModelRequest_GcsTrainingInput) ProtoMessage() {} |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_discoveryengine_v1beta_search_tuning_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 TrainCustomModelRequest_GcsTrainingInput.ProtoReflect.Descriptor instead. |
| func (*TrainCustomModelRequest_GcsTrainingInput) Descriptor() ([]byte, []int) { |
| return file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) GetCorpusDataPath() string { |
| if x != nil { |
| return x.CorpusDataPath |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) GetQueryDataPath() string { |
| if x != nil { |
| return x.QueryDataPath |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) GetTrainDataPath() string { |
| if x != nil { |
| return x.TrainDataPath |
| } |
| return "" |
| } |
| |
| func (x *TrainCustomModelRequest_GcsTrainingInput) GetTestDataPath() string { |
| if x != nil { |
| return x.TestDataPath |
| } |
| return "" |
| } |
| |
| var File_google_cloud_discoveryengine_v1beta_search_tuning_service_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescOnce sync.Once |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescData = file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDesc |
| ) |
| |
| func file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescGZIP() []byte { |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescOnce.Do(func() { |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescData) |
| }) |
| return file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDescData |
| } |
| |
| var file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes = make([]protoimpl.MessageInfo, 5) |
| var file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_goTypes = []interface{}{ |
| (*TrainCustomModelRequest)(nil), // 0: google.cloud.discoveryengine.v1beta.TrainCustomModelRequest |
| (*TrainCustomModelResponse)(nil), // 1: google.cloud.discoveryengine.v1beta.TrainCustomModelResponse |
| (*TrainCustomModelMetadata)(nil), // 2: google.cloud.discoveryengine.v1beta.TrainCustomModelMetadata |
| (*TrainCustomModelRequest_GcsTrainingInput)(nil), // 3: google.cloud.discoveryengine.v1beta.TrainCustomModelRequest.GcsTrainingInput |
| nil, // 4: google.cloud.discoveryengine.v1beta.TrainCustomModelResponse.MetricsEntry |
| (*ImportErrorConfig)(nil), // 5: google.cloud.discoveryengine.v1beta.ImportErrorConfig |
| (*status.Status)(nil), // 6: google.rpc.Status |
| (*timestamppb.Timestamp)(nil), // 7: google.protobuf.Timestamp |
| (*longrunningpb.Operation)(nil), // 8: google.longrunning.Operation |
| } |
| var file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_depIdxs = []int32{ |
| 3, // 0: google.cloud.discoveryengine.v1beta.TrainCustomModelRequest.gcs_training_input:type_name -> google.cloud.discoveryengine.v1beta.TrainCustomModelRequest.GcsTrainingInput |
| 5, // 1: google.cloud.discoveryengine.v1beta.TrainCustomModelRequest.error_config:type_name -> google.cloud.discoveryengine.v1beta.ImportErrorConfig |
| 6, // 2: google.cloud.discoveryengine.v1beta.TrainCustomModelResponse.error_samples:type_name -> google.rpc.Status |
| 5, // 3: google.cloud.discoveryengine.v1beta.TrainCustomModelResponse.error_config:type_name -> google.cloud.discoveryengine.v1beta.ImportErrorConfig |
| 4, // 4: google.cloud.discoveryengine.v1beta.TrainCustomModelResponse.metrics:type_name -> google.cloud.discoveryengine.v1beta.TrainCustomModelResponse.MetricsEntry |
| 7, // 5: google.cloud.discoveryengine.v1beta.TrainCustomModelMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 7, // 6: google.cloud.discoveryengine.v1beta.TrainCustomModelMetadata.update_time:type_name -> google.protobuf.Timestamp |
| 0, // 7: google.cloud.discoveryengine.v1beta.SearchTuningService.TrainCustomModel:input_type -> google.cloud.discoveryengine.v1beta.TrainCustomModelRequest |
| 8, // 8: google.cloud.discoveryengine.v1beta.SearchTuningService.TrainCustomModel:output_type -> google.longrunning.Operation |
| 8, // [8:9] is the sub-list for method output_type |
| 7, // [7:8] is the sub-list for method input_type |
| 7, // [7:7] is the sub-list for extension type_name |
| 7, // [7:7] is the sub-list for extension extendee |
| 0, // [0:7] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_init() } |
| func file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_init() { |
| if File_google_cloud_discoveryengine_v1beta_search_tuning_service_proto != nil { |
| return |
| } |
| file_google_cloud_discoveryengine_v1beta_import_config_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TrainCustomModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TrainCustomModelResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TrainCustomModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*TrainCustomModelRequest_GcsTrainingInput); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*TrainCustomModelRequest_GcsTrainingInput_)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 5, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_goTypes, |
| DependencyIndexes: file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_depIdxs, |
| MessageInfos: file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_msgTypes, |
| }.Build() |
| File_google_cloud_discoveryengine_v1beta_search_tuning_service_proto = out.File |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_rawDesc = nil |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_goTypes = nil |
| file_google_cloud_discoveryengine_v1beta_search_tuning_service_proto_depIdxs = nil |
| } |
| |
| // Reference imports to suppress errors if they are not otherwise used. |
| var _ context.Context |
| var _ grpc.ClientConnInterface |
| |
| // This is a compile-time assertion to ensure that this generated file |
| // is compatible with the grpc package it is being compiled against. |
| const _ = grpc.SupportPackageIsVersion6 |
| |
| // SearchTuningServiceClient is the client API for SearchTuningService service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type SearchTuningServiceClient interface { |
| // Trains a custom model. |
| TrainCustomModel(ctx context.Context, in *TrainCustomModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| } |
| |
| type searchTuningServiceClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewSearchTuningServiceClient(cc grpc.ClientConnInterface) SearchTuningServiceClient { |
| return &searchTuningServiceClient{cc} |
| } |
| |
| func (c *searchTuningServiceClient) TrainCustomModel(ctx context.Context, in *TrainCustomModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.discoveryengine.v1beta.SearchTuningService/TrainCustomModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| // SearchTuningServiceServer is the server API for SearchTuningService service. |
| type SearchTuningServiceServer interface { |
| // Trains a custom model. |
| TrainCustomModel(context.Context, *TrainCustomModelRequest) (*longrunningpb.Operation, error) |
| } |
| |
| // UnimplementedSearchTuningServiceServer can be embedded to have forward compatible implementations. |
| type UnimplementedSearchTuningServiceServer struct { |
| } |
| |
| func (*UnimplementedSearchTuningServiceServer) TrainCustomModel(context.Context, *TrainCustomModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status1.Errorf(codes.Unimplemented, "method TrainCustomModel not implemented") |
| } |
| |
| func RegisterSearchTuningServiceServer(s *grpc.Server, srv SearchTuningServiceServer) { |
| s.RegisterService(&_SearchTuningService_serviceDesc, srv) |
| } |
| |
| func _SearchTuningService_TrainCustomModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(TrainCustomModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(SearchTuningServiceServer).TrainCustomModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.discoveryengine.v1beta.SearchTuningService/TrainCustomModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(SearchTuningServiceServer).TrainCustomModel(ctx, req.(*TrainCustomModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| var _SearchTuningService_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.cloud.discoveryengine.v1beta.SearchTuningService", |
| HandlerType: (*SearchTuningServiceServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "TrainCustomModel", |
| Handler: _SearchTuningService_TrainCustomModel_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/cloud/discoveryengine/v1beta/search_tuning_service.proto", |
| } |
