| // Copyright 2023 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/dialogflow/v2/conversation_model.proto |
| |
| package dialogflowpb |
| |
| import ( |
| context "context" |
| reflect "reflect" |
| sync "sync" |
| |
| longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| grpc "google.golang.org/grpc" |
| codes "google.golang.org/grpc/codes" |
| status "google.golang.org/grpc/status" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| _ "google.golang.org/protobuf/types/known/emptypb" |
| 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) |
| ) |
| |
| // State of the model. |
| type ConversationModel_State int32 |
| |
| const ( |
| // Should not be used, an un-set enum has this value by default. |
| ConversationModel_STATE_UNSPECIFIED ConversationModel_State = 0 |
| // Model being created. |
| ConversationModel_CREATING ConversationModel_State = 1 |
| // Model is not deployed but ready to deploy. |
| ConversationModel_UNDEPLOYED ConversationModel_State = 2 |
| // Model is deploying. |
| ConversationModel_DEPLOYING ConversationModel_State = 3 |
| // Model is deployed and ready to use. |
| ConversationModel_DEPLOYED ConversationModel_State = 4 |
| // Model is undeploying. |
| ConversationModel_UNDEPLOYING ConversationModel_State = 5 |
| // Model is deleting. |
| ConversationModel_DELETING ConversationModel_State = 6 |
| // Model is in error state. Not ready to deploy and use. |
| ConversationModel_FAILED ConversationModel_State = 7 |
| // Model is being created but the training has not started, |
| // The model may remain in this state until there is enough capacity to |
| // start training. |
| ConversationModel_PENDING ConversationModel_State = 8 |
| ) |
| |
| // Enum value maps for ConversationModel_State. |
| var ( |
| ConversationModel_State_name = map[int32]string{ |
| 0: "STATE_UNSPECIFIED", |
| 1: "CREATING", |
| 2: "UNDEPLOYED", |
| 3: "DEPLOYING", |
| 4: "DEPLOYED", |
| 5: "UNDEPLOYING", |
| 6: "DELETING", |
| 7: "FAILED", |
| 8: "PENDING", |
| } |
| ConversationModel_State_value = map[string]int32{ |
| "STATE_UNSPECIFIED": 0, |
| "CREATING": 1, |
| "UNDEPLOYED": 2, |
| "DEPLOYING": 3, |
| "DEPLOYED": 4, |
| "UNDEPLOYING": 5, |
| "DELETING": 6, |
| "FAILED": 7, |
| "PENDING": 8, |
| } |
| ) |
| |
| func (x ConversationModel_State) Enum() *ConversationModel_State { |
| p := new(ConversationModel_State) |
| *p = x |
| return p |
| } |
| |
| func (x ConversationModel_State) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ConversationModel_State) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (ConversationModel_State) Type() protoreflect.EnumType { |
| return &file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[0] |
| } |
| |
| func (x ConversationModel_State) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ConversationModel_State.Descriptor instead. |
| func (ConversationModel_State) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| // Model type. |
| type ConversationModel_ModelType int32 |
| |
| const ( |
| // ModelType unspecified. |
| ConversationModel_MODEL_TYPE_UNSPECIFIED ConversationModel_ModelType = 0 |
| // ModelType smart reply dual encoder model. |
| ConversationModel_SMART_REPLY_DUAL_ENCODER_MODEL ConversationModel_ModelType = 2 |
| // ModelType smart reply bert model. |
| ConversationModel_SMART_REPLY_BERT_MODEL ConversationModel_ModelType = 6 |
| ) |
| |
| // Enum value maps for ConversationModel_ModelType. |
| var ( |
| ConversationModel_ModelType_name = map[int32]string{ |
| 0: "MODEL_TYPE_UNSPECIFIED", |
| 2: "SMART_REPLY_DUAL_ENCODER_MODEL", |
| 6: "SMART_REPLY_BERT_MODEL", |
| } |
| ConversationModel_ModelType_value = map[string]int32{ |
| "MODEL_TYPE_UNSPECIFIED": 0, |
| "SMART_REPLY_DUAL_ENCODER_MODEL": 2, |
| "SMART_REPLY_BERT_MODEL": 6, |
| } |
| ) |
| |
| func (x ConversationModel_ModelType) Enum() *ConversationModel_ModelType { |
| p := new(ConversationModel_ModelType) |
| *p = x |
| return p |
| } |
| |
| func (x ConversationModel_ModelType) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ConversationModel_ModelType) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[1].Descriptor() |
| } |
| |
| func (ConversationModel_ModelType) Type() protoreflect.EnumType { |
| return &file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[1] |
| } |
| |
| func (x ConversationModel_ModelType) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ConversationModel_ModelType.Descriptor instead. |
| func (ConversationModel_ModelType) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{0, 1} |
| } |
| |
| // State of CreateConversationModel operation. |
| type CreateConversationModelOperationMetadata_State int32 |
| |
| const ( |
| // Invalid. |
| CreateConversationModelOperationMetadata_STATE_UNSPECIFIED CreateConversationModelOperationMetadata_State = 0 |
| // Request is submitted, but training has not started yet. |
| // The model may remain in this state until there is enough capacity to |
| // start training. |
| CreateConversationModelOperationMetadata_PENDING CreateConversationModelOperationMetadata_State = 1 |
| // The training has succeeded. |
| CreateConversationModelOperationMetadata_SUCCEEDED CreateConversationModelOperationMetadata_State = 2 |
| // The training has succeeded. |
| CreateConversationModelOperationMetadata_FAILED CreateConversationModelOperationMetadata_State = 3 |
| // The training has been cancelled. |
| CreateConversationModelOperationMetadata_CANCELLED CreateConversationModelOperationMetadata_State = 4 |
| // The training is in cancelling state. |
| CreateConversationModelOperationMetadata_CANCELLING CreateConversationModelOperationMetadata_State = 5 |
| // Custom model is training. |
| CreateConversationModelOperationMetadata_TRAINING CreateConversationModelOperationMetadata_State = 6 |
| ) |
| |
| // Enum value maps for CreateConversationModelOperationMetadata_State. |
| var ( |
| CreateConversationModelOperationMetadata_State_name = map[int32]string{ |
| 0: "STATE_UNSPECIFIED", |
| 1: "PENDING", |
| 2: "SUCCEEDED", |
| 3: "FAILED", |
| 4: "CANCELLED", |
| 5: "CANCELLING", |
| 6: "TRAINING", |
| } |
| CreateConversationModelOperationMetadata_State_value = map[string]int32{ |
| "STATE_UNSPECIFIED": 0, |
| "PENDING": 1, |
| "SUCCEEDED": 2, |
| "FAILED": 3, |
| "CANCELLED": 4, |
| "CANCELLING": 5, |
| "TRAINING": 6, |
| } |
| ) |
| |
| func (x CreateConversationModelOperationMetadata_State) Enum() *CreateConversationModelOperationMetadata_State { |
| p := new(CreateConversationModelOperationMetadata_State) |
| *p = x |
| return p |
| } |
| |
| func (x CreateConversationModelOperationMetadata_State) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (CreateConversationModelOperationMetadata_State) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[2].Descriptor() |
| } |
| |
| func (CreateConversationModelOperationMetadata_State) Type() protoreflect.EnumType { |
| return &file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[2] |
| } |
| |
| func (x CreateConversationModelOperationMetadata_State) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use CreateConversationModelOperationMetadata_State.Descriptor instead. |
| func (CreateConversationModelOperationMetadata_State) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{18, 0} |
| } |
| |
| // State of CreateConversationModel operation. |
| type CreateConversationModelEvaluationOperationMetadata_State int32 |
| |
| const ( |
| // Operation status not specified. |
| CreateConversationModelEvaluationOperationMetadata_STATE_UNSPECIFIED CreateConversationModelEvaluationOperationMetadata_State = 0 |
| // The operation is being prepared. |
| CreateConversationModelEvaluationOperationMetadata_INITIALIZING CreateConversationModelEvaluationOperationMetadata_State = 1 |
| // The operation is running. |
| CreateConversationModelEvaluationOperationMetadata_RUNNING CreateConversationModelEvaluationOperationMetadata_State = 2 |
| // The operation is cancelled. |
| CreateConversationModelEvaluationOperationMetadata_CANCELLED CreateConversationModelEvaluationOperationMetadata_State = 3 |
| // The operation has succeeded. |
| CreateConversationModelEvaluationOperationMetadata_SUCCEEDED CreateConversationModelEvaluationOperationMetadata_State = 4 |
| // The operation has failed. |
| CreateConversationModelEvaluationOperationMetadata_FAILED CreateConversationModelEvaluationOperationMetadata_State = 5 |
| ) |
| |
| // Enum value maps for CreateConversationModelEvaluationOperationMetadata_State. |
| var ( |
| CreateConversationModelEvaluationOperationMetadata_State_name = map[int32]string{ |
| 0: "STATE_UNSPECIFIED", |
| 1: "INITIALIZING", |
| 2: "RUNNING", |
| 3: "CANCELLED", |
| 4: "SUCCEEDED", |
| 5: "FAILED", |
| } |
| CreateConversationModelEvaluationOperationMetadata_State_value = map[string]int32{ |
| "STATE_UNSPECIFIED": 0, |
| "INITIALIZING": 1, |
| "RUNNING": 2, |
| "CANCELLED": 3, |
| "SUCCEEDED": 4, |
| "FAILED": 5, |
| } |
| ) |
| |
| func (x CreateConversationModelEvaluationOperationMetadata_State) Enum() *CreateConversationModelEvaluationOperationMetadata_State { |
| p := new(CreateConversationModelEvaluationOperationMetadata_State) |
| *p = x |
| return p |
| } |
| |
| func (x CreateConversationModelEvaluationOperationMetadata_State) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (CreateConversationModelEvaluationOperationMetadata_State) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[3].Descriptor() |
| } |
| |
| func (CreateConversationModelEvaluationOperationMetadata_State) Type() protoreflect.EnumType { |
| return &file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes[3] |
| } |
| |
| func (x CreateConversationModelEvaluationOperationMetadata_State) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use CreateConversationModelEvaluationOperationMetadata_State.Descriptor instead. |
| func (CreateConversationModelEvaluationOperationMetadata_State) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{22, 0} |
| } |
| |
| // Represents a conversation model. |
| type ConversationModel struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // ConversationModel resource name. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The display name of the model. At most 64 bytes long. |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Output only. Creation time of this model. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Required. Datasets used to create model. |
| Datasets []*InputDataset `protobuf:"bytes,4,rep,name=datasets,proto3" json:"datasets,omitempty"` |
| // Output only. State of the model. A model can only serve prediction requests |
| // after it gets deployed. |
| State ConversationModel_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.dialogflow.v2.ConversationModel_State" json:"state,omitempty"` |
| // Language code for the conversation model. If not specified, the language |
| // is en-US. Language at ConversationModel should be set for all non en-us |
| // languages. |
| // This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) |
| // language tag. Example: "en-US". |
| LanguageCode string `protobuf:"bytes,19,opt,name=language_code,json=languageCode,proto3" json:"language_code,omitempty"` |
| // Required. |
| // The model metadata that is specific to the problem type. |
| // Must match the metadata type of the dataset used to train the model. |
| // |
| // Types that are assignable to ModelMetadata: |
| // |
| // *ConversationModel_ArticleSuggestionModelMetadata |
| // *ConversationModel_SmartReplyModelMetadata |
| ModelMetadata isConversationModel_ModelMetadata `protobuf_oneof:"model_metadata"` |
| } |
| |
| func (x *ConversationModel) Reset() { |
| *x = ConversationModel{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ConversationModel) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ConversationModel) ProtoMessage() {} |
| |
| func (x *ConversationModel) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 ConversationModel.ProtoReflect.Descriptor instead. |
| func (*ConversationModel) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *ConversationModel) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ConversationModel) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *ConversationModel) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *ConversationModel) GetDatasets() []*InputDataset { |
| if x != nil { |
| return x.Datasets |
| } |
| return nil |
| } |
| |
| func (x *ConversationModel) GetState() ConversationModel_State { |
| if x != nil { |
| return x.State |
| } |
| return ConversationModel_STATE_UNSPECIFIED |
| } |
| |
| func (x *ConversationModel) GetLanguageCode() string { |
| if x != nil { |
| return x.LanguageCode |
| } |
| return "" |
| } |
| |
| func (m *ConversationModel) GetModelMetadata() isConversationModel_ModelMetadata { |
| if m != nil { |
| return m.ModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *ConversationModel) GetArticleSuggestionModelMetadata() *ArticleSuggestionModelMetadata { |
| if x, ok := x.GetModelMetadata().(*ConversationModel_ArticleSuggestionModelMetadata); ok { |
| return x.ArticleSuggestionModelMetadata |
| } |
| return nil |
| } |
| |
| func (x *ConversationModel) GetSmartReplyModelMetadata() *SmartReplyModelMetadata { |
| if x, ok := x.GetModelMetadata().(*ConversationModel_SmartReplyModelMetadata); ok { |
| return x.SmartReplyModelMetadata |
| } |
| return nil |
| } |
| |
| type isConversationModel_ModelMetadata interface { |
| isConversationModel_ModelMetadata() |
| } |
| |
| type ConversationModel_ArticleSuggestionModelMetadata struct { |
| // Metadata for article suggestion models. |
| ArticleSuggestionModelMetadata *ArticleSuggestionModelMetadata `protobuf:"bytes,8,opt,name=article_suggestion_model_metadata,json=articleSuggestionModelMetadata,proto3,oneof"` |
| } |
| |
| type ConversationModel_SmartReplyModelMetadata struct { |
| // Metadata for smart reply models. |
| SmartReplyModelMetadata *SmartReplyModelMetadata `protobuf:"bytes,9,opt,name=smart_reply_model_metadata,json=smartReplyModelMetadata,proto3,oneof"` |
| } |
| |
| func (*ConversationModel_ArticleSuggestionModelMetadata) isConversationModel_ModelMetadata() {} |
| |
| func (*ConversationModel_SmartReplyModelMetadata) isConversationModel_ModelMetadata() {} |
| |
| // Represents evaluation result of a conversation model. |
| type ConversationModelEvaluation struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the evaluation. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model |
| // ID>/evaluations/<Evaluation ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Optional. The display name of the model evaluation. At most 64 bytes long. |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Optional. The configuration of the evaluation task. |
| EvaluationConfig *EvaluationConfig `protobuf:"bytes,6,opt,name=evaluation_config,json=evaluationConfig,proto3" json:"evaluation_config,omitempty"` |
| // Output only. Creation time of this model. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Metrics details. |
| // |
| // Types that are assignable to Metrics: |
| // |
| // *ConversationModelEvaluation_SmartReplyMetrics |
| Metrics isConversationModelEvaluation_Metrics `protobuf_oneof:"metrics"` |
| // Output only. Human eval template in csv format. |
| // It tooks real-world conversations provided through input dataset, generates |
| // example suggestions for customer to verify quality of the model. |
| // For Smart Reply, the generated csv file contains columns of |
| // Context, (Suggestions,Q1,Q2)*3, Actual reply. |
| // Context contains at most 10 latest messages in the conversation prior to |
| // the current suggestion. |
| // Q1: "Would you send it as the next message of agent?" |
| // Evaluated based on whether the suggest is appropriate to be sent by |
| // agent in current context. |
| // Q2: "Does the suggestion move the conversation closer to resolution?" |
| // Evaluated based on whether the suggestion provide solutions, or answers |
| // customer's question or collect information from customer to resolve the |
| // customer's issue. |
| // Actual reply column contains the actual agent reply sent in the context. |
| RawHumanEvalTemplateCsv string `protobuf:"bytes,8,opt,name=raw_human_eval_template_csv,json=rawHumanEvalTemplateCsv,proto3" json:"raw_human_eval_template_csv,omitempty"` |
| } |
| |
| func (x *ConversationModelEvaluation) Reset() { |
| *x = ConversationModelEvaluation{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ConversationModelEvaluation) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ConversationModelEvaluation) ProtoMessage() {} |
| |
| func (x *ConversationModelEvaluation) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 ConversationModelEvaluation.ProtoReflect.Descriptor instead. |
| func (*ConversationModelEvaluation) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *ConversationModelEvaluation) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *ConversationModelEvaluation) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *ConversationModelEvaluation) GetEvaluationConfig() *EvaluationConfig { |
| if x != nil { |
| return x.EvaluationConfig |
| } |
| return nil |
| } |
| |
| func (x *ConversationModelEvaluation) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (m *ConversationModelEvaluation) GetMetrics() isConversationModelEvaluation_Metrics { |
| if m != nil { |
| return m.Metrics |
| } |
| return nil |
| } |
| |
| func (x *ConversationModelEvaluation) GetSmartReplyMetrics() *SmartReplyMetrics { |
| if x, ok := x.GetMetrics().(*ConversationModelEvaluation_SmartReplyMetrics); ok { |
| return x.SmartReplyMetrics |
| } |
| return nil |
| } |
| |
| func (x *ConversationModelEvaluation) GetRawHumanEvalTemplateCsv() string { |
| if x != nil { |
| return x.RawHumanEvalTemplateCsv |
| } |
| return "" |
| } |
| |
| type isConversationModelEvaluation_Metrics interface { |
| isConversationModelEvaluation_Metrics() |
| } |
| |
| type ConversationModelEvaluation_SmartReplyMetrics struct { |
| // Output only. Only available when model is for smart reply. |
| SmartReplyMetrics *SmartReplyMetrics `protobuf:"bytes,5,opt,name=smart_reply_metrics,json=smartReplyMetrics,proto3,oneof"` |
| } |
| |
| func (*ConversationModelEvaluation_SmartReplyMetrics) isConversationModelEvaluation_Metrics() {} |
| |
| // The configuration for model evaluation. |
| type EvaluationConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Datasets used for evaluation. |
| Datasets []*InputDataset `protobuf:"bytes,3,rep,name=datasets,proto3" json:"datasets,omitempty"` |
| // Specific configurations for different models in order to do evaluation. |
| // |
| // Types that are assignable to ModelSpecificConfig: |
| // |
| // *EvaluationConfig_SmartReplyConfig_ |
| // *EvaluationConfig_SmartComposeConfig_ |
| ModelSpecificConfig isEvaluationConfig_ModelSpecificConfig `protobuf_oneof:"model_specific_config"` |
| } |
| |
| func (x *EvaluationConfig) Reset() { |
| *x = EvaluationConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *EvaluationConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*EvaluationConfig) ProtoMessage() {} |
| |
| func (x *EvaluationConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 EvaluationConfig.ProtoReflect.Descriptor instead. |
| func (*EvaluationConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *EvaluationConfig) GetDatasets() []*InputDataset { |
| if x != nil { |
| return x.Datasets |
| } |
| return nil |
| } |
| |
| func (m *EvaluationConfig) GetModelSpecificConfig() isEvaluationConfig_ModelSpecificConfig { |
| if m != nil { |
| return m.ModelSpecificConfig |
| } |
| return nil |
| } |
| |
| func (x *EvaluationConfig) GetSmartReplyConfig() *EvaluationConfig_SmartReplyConfig { |
| if x, ok := x.GetModelSpecificConfig().(*EvaluationConfig_SmartReplyConfig_); ok { |
| return x.SmartReplyConfig |
| } |
| return nil |
| } |
| |
| func (x *EvaluationConfig) GetSmartComposeConfig() *EvaluationConfig_SmartComposeConfig { |
| if x, ok := x.GetModelSpecificConfig().(*EvaluationConfig_SmartComposeConfig_); ok { |
| return x.SmartComposeConfig |
| } |
| return nil |
| } |
| |
| type isEvaluationConfig_ModelSpecificConfig interface { |
| isEvaluationConfig_ModelSpecificConfig() |
| } |
| |
| type EvaluationConfig_SmartReplyConfig_ struct { |
| // Configuration for smart reply model evalution. |
| SmartReplyConfig *EvaluationConfig_SmartReplyConfig `protobuf:"bytes,2,opt,name=smart_reply_config,json=smartReplyConfig,proto3,oneof"` |
| } |
| |
| type EvaluationConfig_SmartComposeConfig_ struct { |
| // Configuration for smart compose model evalution. |
| SmartComposeConfig *EvaluationConfig_SmartComposeConfig `protobuf:"bytes,4,opt,name=smart_compose_config,json=smartComposeConfig,proto3,oneof"` |
| } |
| |
| func (*EvaluationConfig_SmartReplyConfig_) isEvaluationConfig_ModelSpecificConfig() {} |
| |
| func (*EvaluationConfig_SmartComposeConfig_) isEvaluationConfig_ModelSpecificConfig() {} |
| |
| // InputDataset used to create model or do evaluation. |
| // NextID:5 |
| type InputDataset struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. ConversationDataset resource name. Format: |
| // `projects/<Project ID>/locations/<Location |
| // ID>/conversationDatasets/<Conversation Dataset ID>` |
| Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"` |
| } |
| |
| func (x *InputDataset) Reset() { |
| *x = InputDataset{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *InputDataset) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*InputDataset) ProtoMessage() {} |
| |
| func (x *InputDataset) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 InputDataset.ProtoReflect.Descriptor instead. |
| func (*InputDataset) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *InputDataset) GetDataset() string { |
| if x != nil { |
| return x.Dataset |
| } |
| return "" |
| } |
| |
| // Metadata for article suggestion models. |
| type ArticleSuggestionModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. Type of the article suggestion model. If not provided, model_type |
| // is used. |
| TrainingModelType ConversationModel_ModelType `protobuf:"varint,3,opt,name=training_model_type,json=trainingModelType,proto3,enum=google.cloud.dialogflow.v2.ConversationModel_ModelType" json:"training_model_type,omitempty"` |
| } |
| |
| func (x *ArticleSuggestionModelMetadata) Reset() { |
| *x = ArticleSuggestionModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ArticleSuggestionModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ArticleSuggestionModelMetadata) ProtoMessage() {} |
| |
| func (x *ArticleSuggestionModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[4] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ArticleSuggestionModelMetadata.ProtoReflect.Descriptor instead. |
| func (*ArticleSuggestionModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{4} |
| } |
| |
| func (x *ArticleSuggestionModelMetadata) GetTrainingModelType() ConversationModel_ModelType { |
| if x != nil { |
| return x.TrainingModelType |
| } |
| return ConversationModel_MODEL_TYPE_UNSPECIFIED |
| } |
| |
| // Metadata for smart reply models. |
| type SmartReplyModelMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Optional. Type of the smart reply model. If not provided, model_type is |
| // used. |
| TrainingModelType ConversationModel_ModelType `protobuf:"varint,6,opt,name=training_model_type,json=trainingModelType,proto3,enum=google.cloud.dialogflow.v2.ConversationModel_ModelType" json:"training_model_type,omitempty"` |
| } |
| |
| func (x *SmartReplyModelMetadata) Reset() { |
| *x = SmartReplyModelMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SmartReplyModelMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SmartReplyModelMetadata) ProtoMessage() {} |
| |
| func (x *SmartReplyModelMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[5] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use SmartReplyModelMetadata.ProtoReflect.Descriptor instead. |
| func (*SmartReplyModelMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{5} |
| } |
| |
| func (x *SmartReplyModelMetadata) GetTrainingModelType() ConversationModel_ModelType { |
| if x != nil { |
| return x.TrainingModelType |
| } |
| return ConversationModel_MODEL_TYPE_UNSPECIFIED |
| } |
| |
| // The evaluation metrics for smart reply model. |
| type SmartReplyMetrics struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Percentage of target participant messages in the evaluation dataset for |
| // which similar messages have appeared at least once in the allowlist. Should |
| // be [0, 1]. |
| AllowlistCoverage float32 `protobuf:"fixed32,1,opt,name=allowlist_coverage,json=allowlistCoverage,proto3" json:"allowlist_coverage,omitempty"` |
| // Metrics of top n smart replies, sorted by [TopNMetric.n][]. |
| TopNMetrics []*SmartReplyMetrics_TopNMetrics `protobuf:"bytes,2,rep,name=top_n_metrics,json=topNMetrics,proto3" json:"top_n_metrics,omitempty"` |
| // Total number of conversations used to generate this metric. |
| ConversationCount int64 `protobuf:"varint,3,opt,name=conversation_count,json=conversationCount,proto3" json:"conversation_count,omitempty"` |
| } |
| |
| func (x *SmartReplyMetrics) Reset() { |
| *x = SmartReplyMetrics{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SmartReplyMetrics) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SmartReplyMetrics) ProtoMessage() {} |
| |
| func (x *SmartReplyMetrics) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 SmartReplyMetrics.ProtoReflect.Descriptor instead. |
| func (*SmartReplyMetrics) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{6} |
| } |
| |
| func (x *SmartReplyMetrics) GetAllowlistCoverage() float32 { |
| if x != nil { |
| return x.AllowlistCoverage |
| } |
| return 0 |
| } |
| |
| func (x *SmartReplyMetrics) GetTopNMetrics() []*SmartReplyMetrics_TopNMetrics { |
| if x != nil { |
| return x.TopNMetrics |
| } |
| return nil |
| } |
| |
| func (x *SmartReplyMetrics) GetConversationCount() int64 { |
| if x != nil { |
| return x.ConversationCount |
| } |
| return 0 |
| } |
| |
| // The request message for |
| // [ConversationModels.CreateConversationModel][google.cloud.dialogflow.v2.ConversationModels.CreateConversationModel] |
| type CreateConversationModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The project to create conversation model for. Format: |
| // `projects/<Project ID>` |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Required. The conversation model to create. |
| ConversationModel *ConversationModel `protobuf:"bytes,2,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| } |
| |
| func (x *CreateConversationModelRequest) Reset() { |
| *x = CreateConversationModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[7] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateConversationModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateConversationModelRequest) ProtoMessage() {} |
| |
| func (x *CreateConversationModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 CreateConversationModelRequest.ProtoReflect.Descriptor instead. |
| func (*CreateConversationModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{7} |
| } |
| |
| func (x *CreateConversationModelRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *CreateConversationModelRequest) GetConversationModel() *ConversationModel { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return nil |
| } |
| |
| // The request message for |
| // [ConversationModels.GetConversationModel][google.cloud.dialogflow.v2.ConversationModels.GetConversationModel] |
| type GetConversationModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model to retrieve. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetConversationModelRequest) Reset() { |
| *x = GetConversationModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[8] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetConversationModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetConversationModelRequest) ProtoMessage() {} |
| |
| func (x *GetConversationModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[8] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use GetConversationModelRequest.ProtoReflect.Descriptor instead. |
| func (*GetConversationModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{8} |
| } |
| |
| func (x *GetConversationModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.ListConversationModels][google.cloud.dialogflow.v2.ConversationModels.ListConversationModels] |
| type ListConversationModelsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The project to list all conversation models for. |
| // Format: `projects/<Project ID>` |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Optional. Maximum number of conversation models to return in a single |
| // page. By default 100 and at most 1000. |
| PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // Optional. The next_page_token value returned from a previous list request. |
| PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListConversationModelsRequest) Reset() { |
| *x = ListConversationModelsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[9] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListConversationModelsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListConversationModelsRequest) ProtoMessage() {} |
| |
| func (x *ListConversationModelsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[9] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListConversationModelsRequest.ProtoReflect.Descriptor instead. |
| func (*ListConversationModelsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{9} |
| } |
| |
| func (x *ListConversationModelsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListConversationModelsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListConversationModelsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // The response message for |
| // [ConversationModels.ListConversationModels][google.cloud.dialogflow.v2.ConversationModels.ListConversationModels] |
| type ListConversationModelsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The list of models to return. |
| ConversationModels []*ConversationModel `protobuf:"bytes,1,rep,name=conversation_models,json=conversationModels,proto3" json:"conversation_models,omitempty"` |
| // Token to retrieve the next page of results, or empty if there are no more |
| // results in the list. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListConversationModelsResponse) Reset() { |
| *x = ListConversationModelsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[10] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListConversationModelsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListConversationModelsResponse) ProtoMessage() {} |
| |
| func (x *ListConversationModelsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[10] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ListConversationModelsResponse.ProtoReflect.Descriptor instead. |
| func (*ListConversationModelsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{10} |
| } |
| |
| func (x *ListConversationModelsResponse) GetConversationModels() []*ConversationModel { |
| if x != nil { |
| return x.ConversationModels |
| } |
| return nil |
| } |
| |
| func (x *ListConversationModelsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.DeleteConversationModel][google.cloud.dialogflow.v2.ConversationModels.DeleteConversationModel] |
| type DeleteConversationModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model to delete. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeleteConversationModelRequest) Reset() { |
| *x = DeleteConversationModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[11] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeleteConversationModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeleteConversationModelRequest) ProtoMessage() {} |
| |
| func (x *DeleteConversationModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[11] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use DeleteConversationModelRequest.ProtoReflect.Descriptor instead. |
| func (*DeleteConversationModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{11} |
| } |
| |
| func (x *DeleteConversationModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.DeployConversationModel][google.cloud.dialogflow.v2.ConversationModels.DeployConversationModel] |
| type DeployConversationModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model to deploy. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *DeployConversationModelRequest) Reset() { |
| *x = DeployConversationModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[12] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeployConversationModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeployConversationModelRequest) ProtoMessage() {} |
| |
| func (x *DeployConversationModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[12] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use DeployConversationModelRequest.ProtoReflect.Descriptor instead. |
| func (*DeployConversationModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{12} |
| } |
| |
| func (x *DeployConversationModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.UndeployConversationModel][google.cloud.dialogflow.v2.ConversationModels.UndeployConversationModel] |
| type UndeployConversationModelRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model to undeploy. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *UndeployConversationModelRequest) Reset() { |
| *x = UndeployConversationModelRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[13] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UndeployConversationModelRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UndeployConversationModelRequest) ProtoMessage() {} |
| |
| func (x *UndeployConversationModelRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[13] |
| 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 UndeployConversationModelRequest.ProtoReflect.Descriptor instead. |
| func (*UndeployConversationModelRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{13} |
| } |
| |
| func (x *UndeployConversationModelRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.GetConversationModelEvaluation][google.cloud.dialogflow.v2.ConversationModels.GetConversationModelEvaluation] |
| type GetConversationModelEvaluationRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model evaluation resource name. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model |
| // ID>/evaluations/<Evaluation ID>` |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| } |
| |
| func (x *GetConversationModelEvaluationRequest) Reset() { |
| *x = GetConversationModelEvaluationRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[14] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *GetConversationModelEvaluationRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*GetConversationModelEvaluationRequest) ProtoMessage() {} |
| |
| func (x *GetConversationModelEvaluationRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[14] |
| 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 GetConversationModelEvaluationRequest.ProtoReflect.Descriptor instead. |
| func (*GetConversationModelEvaluationRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{14} |
| } |
| |
| func (x *GetConversationModelEvaluationRequest) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.ListConversationModelEvaluations][google.cloud.dialogflow.v2.ConversationModels.ListConversationModelEvaluations] |
| type ListConversationModelEvaluationsRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model resource name. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model ID>` |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Optional. Maximum number of evaluations to return in a |
| // single page. By default 100 and at most 1000. |
| PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"` |
| // Optional. The next_page_token value returned from a previous list request. |
| PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"` |
| } |
| |
| func (x *ListConversationModelEvaluationsRequest) Reset() { |
| *x = ListConversationModelEvaluationsRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[15] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListConversationModelEvaluationsRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListConversationModelEvaluationsRequest) ProtoMessage() {} |
| |
| func (x *ListConversationModelEvaluationsRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[15] |
| 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 ListConversationModelEvaluationsRequest.ProtoReflect.Descriptor instead. |
| func (*ListConversationModelEvaluationsRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{15} |
| } |
| |
| func (x *ListConversationModelEvaluationsRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *ListConversationModelEvaluationsRequest) GetPageSize() int32 { |
| if x != nil { |
| return x.PageSize |
| } |
| return 0 |
| } |
| |
| func (x *ListConversationModelEvaluationsRequest) GetPageToken() string { |
| if x != nil { |
| return x.PageToken |
| } |
| return "" |
| } |
| |
| // The response message for |
| // [ConversationModels.ListConversationModelEvaluations][google.cloud.dialogflow.v2.ConversationModels.ListConversationModelEvaluations] |
| type ListConversationModelEvaluationsResponse struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The list of evaluations to return. |
| ConversationModelEvaluations []*ConversationModelEvaluation `protobuf:"bytes,1,rep,name=conversation_model_evaluations,json=conversationModelEvaluations,proto3" json:"conversation_model_evaluations,omitempty"` |
| // Token to retrieve the next page of results, or empty if there are no more |
| // results in the list. |
| NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"` |
| } |
| |
| func (x *ListConversationModelEvaluationsResponse) Reset() { |
| *x = ListConversationModelEvaluationsResponse{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[16] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ListConversationModelEvaluationsResponse) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ListConversationModelEvaluationsResponse) ProtoMessage() {} |
| |
| func (x *ListConversationModelEvaluationsResponse) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[16] |
| 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 ListConversationModelEvaluationsResponse.ProtoReflect.Descriptor instead. |
| func (*ListConversationModelEvaluationsResponse) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{16} |
| } |
| |
| func (x *ListConversationModelEvaluationsResponse) GetConversationModelEvaluations() []*ConversationModelEvaluation { |
| if x != nil { |
| return x.ConversationModelEvaluations |
| } |
| return nil |
| } |
| |
| func (x *ListConversationModelEvaluationsResponse) GetNextPageToken() string { |
| if x != nil { |
| return x.NextPageToken |
| } |
| return "" |
| } |
| |
| // The request message for |
| // [ConversationModels.CreateConversationModelEvaluation][google.cloud.dialogflow.v2.ConversationModels.CreateConversationModelEvaluation] |
| type CreateConversationModelEvaluationRequest struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. The conversation model resource name. Format: |
| // `projects/<Project ID>/locations/<Location |
| // ID>/conversationModels/<Conversation Model ID>` |
| Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"` |
| // Required. The conversation model evaluation to be created. |
| ConversationModelEvaluation *ConversationModelEvaluation `protobuf:"bytes,2,opt,name=conversation_model_evaluation,json=conversationModelEvaluation,proto3" json:"conversation_model_evaluation,omitempty"` |
| } |
| |
| func (x *CreateConversationModelEvaluationRequest) Reset() { |
| *x = CreateConversationModelEvaluationRequest{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[17] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateConversationModelEvaluationRequest) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateConversationModelEvaluationRequest) ProtoMessage() {} |
| |
| func (x *CreateConversationModelEvaluationRequest) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[17] |
| 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 CreateConversationModelEvaluationRequest.ProtoReflect.Descriptor instead. |
| func (*CreateConversationModelEvaluationRequest) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{17} |
| } |
| |
| func (x *CreateConversationModelEvaluationRequest) GetParent() string { |
| if x != nil { |
| return x.Parent |
| } |
| return "" |
| } |
| |
| func (x *CreateConversationModelEvaluationRequest) GetConversationModelEvaluation() *ConversationModelEvaluation { |
| if x != nil { |
| return x.ConversationModelEvaluation |
| } |
| return nil |
| } |
| |
| // Metadata for a |
| // [ConversationModels.CreateConversationModel][google.cloud.dialogflow.v2.ConversationModels.CreateConversationModel] |
| // operation. |
| type CreateConversationModelOperationMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model Id>` |
| ConversationModel string `protobuf:"bytes,1,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| // State of CreateConversationModel operation. |
| State CreateConversationModelOperationMetadata_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata_State" json:"state,omitempty"` |
| // Timestamp when the request to create conversation model is submitted. The |
| // time is measured on server side. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| } |
| |
| func (x *CreateConversationModelOperationMetadata) Reset() { |
| *x = CreateConversationModelOperationMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[18] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateConversationModelOperationMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateConversationModelOperationMetadata) ProtoMessage() {} |
| |
| func (x *CreateConversationModelOperationMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[18] |
| 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 CreateConversationModelOperationMetadata.ProtoReflect.Descriptor instead. |
| func (*CreateConversationModelOperationMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{18} |
| } |
| |
| func (x *CreateConversationModelOperationMetadata) GetConversationModel() string { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return "" |
| } |
| |
| func (x *CreateConversationModelOperationMetadata) GetState() CreateConversationModelOperationMetadata_State { |
| if x != nil { |
| return x.State |
| } |
| return CreateConversationModelOperationMetadata_STATE_UNSPECIFIED |
| } |
| |
| func (x *CreateConversationModelOperationMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| // Metadata for a |
| // [ConversationModels.DeployConversationModel][google.cloud.dialogflow.v2.ConversationModels.DeployConversationModel] |
| // operation. |
| type DeployConversationModelOperationMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model Id>` |
| ConversationModel string `protobuf:"bytes,1,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| // Timestamp when request to deploy conversation model was submitted. The time |
| // is measured on server side. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| } |
| |
| func (x *DeployConversationModelOperationMetadata) Reset() { |
| *x = DeployConversationModelOperationMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[19] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeployConversationModelOperationMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeployConversationModelOperationMetadata) ProtoMessage() {} |
| |
| func (x *DeployConversationModelOperationMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[19] |
| 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 DeployConversationModelOperationMetadata.ProtoReflect.Descriptor instead. |
| func (*DeployConversationModelOperationMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{19} |
| } |
| |
| func (x *DeployConversationModelOperationMetadata) GetConversationModel() string { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return "" |
| } |
| |
| func (x *DeployConversationModelOperationMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| // Metadata for a |
| // [ConversationModels.UndeployConversationModel][google.cloud.dialogflow.v2.ConversationModels.UndeployConversationModel] |
| // operation. |
| type UndeployConversationModelOperationMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model Id>` |
| ConversationModel string `protobuf:"bytes,1,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| // Timestamp when the request to undeploy conversation model was submitted. |
| // The time is measured on server side. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| } |
| |
| func (x *UndeployConversationModelOperationMetadata) Reset() { |
| *x = UndeployConversationModelOperationMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[20] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *UndeployConversationModelOperationMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*UndeployConversationModelOperationMetadata) ProtoMessage() {} |
| |
| func (x *UndeployConversationModelOperationMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_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 UndeployConversationModelOperationMetadata.ProtoReflect.Descriptor instead. |
| func (*UndeployConversationModelOperationMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{20} |
| } |
| |
| func (x *UndeployConversationModelOperationMetadata) GetConversationModel() string { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return "" |
| } |
| |
| func (x *UndeployConversationModelOperationMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| // Metadata for a |
| // [ConversationModels.DeleteConversationModel][google.cloud.dialogflow.v2.ConversationModels.DeleteConversationModel] |
| // operation. |
| type DeleteConversationModelOperationMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/conversationModels/<Conversation Model Id>` |
| ConversationModel string `protobuf:"bytes,1,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| // Timestamp when delete conversation model request was created. The time is |
| // measured on server side. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| } |
| |
| func (x *DeleteConversationModelOperationMetadata) Reset() { |
| *x = DeleteConversationModelOperationMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[21] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeleteConversationModelOperationMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeleteConversationModelOperationMetadata) ProtoMessage() {} |
| |
| func (x *DeleteConversationModelOperationMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[21] |
| 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 DeleteConversationModelOperationMetadata.ProtoReflect.Descriptor instead. |
| func (*DeleteConversationModelOperationMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{21} |
| } |
| |
| func (x *DeleteConversationModelOperationMetadata) GetConversationModel() string { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return "" |
| } |
| |
| func (x *DeleteConversationModelOperationMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| // Metadata for a |
| // [ConversationModels.CreateConversationModelEvaluation][google.cloud.dialogflow.v2.ConversationModels.CreateConversationModelEvaluation] |
| // operation. |
| type CreateConversationModelEvaluationOperationMetadata struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/locations/<Location |
| // ID>/conversationModels/<Conversation Model Id>/evaluations/<Evaluation Id>` |
| ConversationModelEvaluation string `protobuf:"bytes,1,opt,name=conversation_model_evaluation,json=conversationModelEvaluation,proto3" json:"conversation_model_evaluation,omitempty"` |
| // The resource name of the conversation model. Format: |
| // `projects/<Project ID>/locations/<Location |
| // ID>/conversationModels/<Conversation Model Id>` |
| ConversationModel string `protobuf:"bytes,4,opt,name=conversation_model,json=conversationModel,proto3" json:"conversation_model,omitempty"` |
| // State of CreateConversationModel operation. |
| State CreateConversationModelEvaluationOperationMetadata_State `protobuf:"varint,2,opt,name=state,proto3,enum=google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata_State" json:"state,omitempty"` |
| // Timestamp when the request to create conversation model was submitted. The |
| // time is measured on server side. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) Reset() { |
| *x = CreateConversationModelEvaluationOperationMetadata{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[22] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*CreateConversationModelEvaluationOperationMetadata) ProtoMessage() {} |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[22] |
| 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 CreateConversationModelEvaluationOperationMetadata.ProtoReflect.Descriptor instead. |
| func (*CreateConversationModelEvaluationOperationMetadata) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{22} |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) GetConversationModelEvaluation() string { |
| if x != nil { |
| return x.ConversationModelEvaluation |
| } |
| return "" |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) GetConversationModel() string { |
| if x != nil { |
| return x.ConversationModel |
| } |
| return "" |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) GetState() CreateConversationModelEvaluationOperationMetadata_State { |
| if x != nil { |
| return x.State |
| } |
| return CreateConversationModelEvaluationOperationMetadata_STATE_UNSPECIFIED |
| } |
| |
| func (x *CreateConversationModelEvaluationOperationMetadata) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| // Smart reply specific configuration for evaluation job. |
| type EvaluationConfig_SmartReplyConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The allowlist document resource name. |
| // Format: `projects/<Project ID>/knowledgeBases/<Knowledge Base |
| // ID>/documents/<Document ID>`. Only used for smart reply model. |
| AllowlistDocument string `protobuf:"bytes,1,opt,name=allowlist_document,json=allowlistDocument,proto3" json:"allowlist_document,omitempty"` |
| // Required. The model to be evaluated can return multiple results with |
| // confidence score on each query. These results will be sorted by the |
| // descending order of the scores and we only keep the first |
| // max_result_count results as the final results to evaluate. |
| MaxResultCount int32 `protobuf:"varint,2,opt,name=max_result_count,json=maxResultCount,proto3" json:"max_result_count,omitempty"` |
| } |
| |
| func (x *EvaluationConfig_SmartReplyConfig) Reset() { |
| *x = EvaluationConfig_SmartReplyConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[23] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *EvaluationConfig_SmartReplyConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*EvaluationConfig_SmartReplyConfig) ProtoMessage() {} |
| |
| func (x *EvaluationConfig_SmartReplyConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[23] |
| 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 EvaluationConfig_SmartReplyConfig.ProtoReflect.Descriptor instead. |
| func (*EvaluationConfig_SmartReplyConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{2, 0} |
| } |
| |
| func (x *EvaluationConfig_SmartReplyConfig) GetAllowlistDocument() string { |
| if x != nil { |
| return x.AllowlistDocument |
| } |
| return "" |
| } |
| |
| func (x *EvaluationConfig_SmartReplyConfig) GetMaxResultCount() int32 { |
| if x != nil { |
| return x.MaxResultCount |
| } |
| return 0 |
| } |
| |
| // Smart compose specific configuration for evaluation job. |
| type EvaluationConfig_SmartComposeConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The allowlist document resource name. |
| // Format: `projects/<Project ID>/knowledgeBases/<Knowledge Base |
| // ID>/documents/<Document ID>`. Only used for smart compose model. |
| AllowlistDocument string `protobuf:"bytes,1,opt,name=allowlist_document,json=allowlistDocument,proto3" json:"allowlist_document,omitempty"` |
| // Required. The model to be evaluated can return multiple results with |
| // confidence score on each query. These results will be sorted by the |
| // descending order of the scores and we only keep the first |
| // max_result_count results as the final results to evaluate. |
| MaxResultCount int32 `protobuf:"varint,2,opt,name=max_result_count,json=maxResultCount,proto3" json:"max_result_count,omitempty"` |
| } |
| |
| func (x *EvaluationConfig_SmartComposeConfig) Reset() { |
| *x = EvaluationConfig_SmartComposeConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[24] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *EvaluationConfig_SmartComposeConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*EvaluationConfig_SmartComposeConfig) ProtoMessage() {} |
| |
| func (x *EvaluationConfig_SmartComposeConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[24] |
| 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 EvaluationConfig_SmartComposeConfig.ProtoReflect.Descriptor instead. |
| func (*EvaluationConfig_SmartComposeConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{2, 1} |
| } |
| |
| func (x *EvaluationConfig_SmartComposeConfig) GetAllowlistDocument() string { |
| if x != nil { |
| return x.AllowlistDocument |
| } |
| return "" |
| } |
| |
| func (x *EvaluationConfig_SmartComposeConfig) GetMaxResultCount() int32 { |
| if x != nil { |
| return x.MaxResultCount |
| } |
| return 0 |
| } |
| |
| // Evaluation metrics when retrieving `n` smart replies with the model. |
| type SmartReplyMetrics_TopNMetrics struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Number of retrieved smart replies. For example, when `n` is 3, this |
| // evaluation contains metrics for when Dialogflow retrieves 3 smart replies |
| // with the model. |
| N int32 `protobuf:"varint,1,opt,name=n,proto3" json:"n,omitempty"` |
| // Defined as `number of queries whose top n smart replies have at least one |
| // similar (token match similarity above the defined threshold) reply as the |
| // real reply` divided by `number of queries with at least one smart reply`. |
| // Value ranges from 0.0 to 1.0 inclusive. |
| Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"` |
| } |
| |
| func (x *SmartReplyMetrics_TopNMetrics) Reset() { |
| *x = SmartReplyMetrics_TopNMetrics{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[25] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SmartReplyMetrics_TopNMetrics) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SmartReplyMetrics_TopNMetrics) ProtoMessage() {} |
| |
| func (x *SmartReplyMetrics_TopNMetrics) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[25] |
| 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 SmartReplyMetrics_TopNMetrics.ProtoReflect.Descriptor instead. |
| func (*SmartReplyMetrics_TopNMetrics) Descriptor() ([]byte, []int) { |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP(), []int{6, 0} |
| } |
| |
| func (x *SmartReplyMetrics_TopNMetrics) GetN() int32 { |
| if x != nil { |
| return x.N |
| } |
| return 0 |
| } |
| |
| func (x *SmartReplyMetrics_TopNMetrics) GetRecall() float32 { |
| if x != nil { |
| return x.Recall |
| } |
| return 0 |
| } |
| |
| var File_google_cloud_dialogflow_v2_conversation_model_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_dialogflow_v2_conversation_model_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescOnce sync.Once |
| file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescData = file_google_cloud_dialogflow_v2_conversation_model_proto_rawDesc |
| ) |
| |
| func file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescGZIP() []byte { |
| file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescOnce.Do(func() { |
| file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescData) |
| }) |
| return file_google_cloud_dialogflow_v2_conversation_model_proto_rawDescData |
| } |
| |
| var file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes = make([]protoimpl.EnumInfo, 4) |
| var file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes = make([]protoimpl.MessageInfo, 26) |
| var file_google_cloud_dialogflow_v2_conversation_model_proto_goTypes = []interface{}{ |
| (ConversationModel_State)(0), // 0: google.cloud.dialogflow.v2.ConversationModel.State |
| (ConversationModel_ModelType)(0), // 1: google.cloud.dialogflow.v2.ConversationModel.ModelType |
| (CreateConversationModelOperationMetadata_State)(0), // 2: google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata.State |
| (CreateConversationModelEvaluationOperationMetadata_State)(0), // 3: google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata.State |
| (*ConversationModel)(nil), // 4: google.cloud.dialogflow.v2.ConversationModel |
| (*ConversationModelEvaluation)(nil), // 5: google.cloud.dialogflow.v2.ConversationModelEvaluation |
| (*EvaluationConfig)(nil), // 6: google.cloud.dialogflow.v2.EvaluationConfig |
| (*InputDataset)(nil), // 7: google.cloud.dialogflow.v2.InputDataset |
| (*ArticleSuggestionModelMetadata)(nil), // 8: google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata |
| (*SmartReplyModelMetadata)(nil), // 9: google.cloud.dialogflow.v2.SmartReplyModelMetadata |
| (*SmartReplyMetrics)(nil), // 10: google.cloud.dialogflow.v2.SmartReplyMetrics |
| (*CreateConversationModelRequest)(nil), // 11: google.cloud.dialogflow.v2.CreateConversationModelRequest |
| (*GetConversationModelRequest)(nil), // 12: google.cloud.dialogflow.v2.GetConversationModelRequest |
| (*ListConversationModelsRequest)(nil), // 13: google.cloud.dialogflow.v2.ListConversationModelsRequest |
| (*ListConversationModelsResponse)(nil), // 14: google.cloud.dialogflow.v2.ListConversationModelsResponse |
| (*DeleteConversationModelRequest)(nil), // 15: google.cloud.dialogflow.v2.DeleteConversationModelRequest |
| (*DeployConversationModelRequest)(nil), // 16: google.cloud.dialogflow.v2.DeployConversationModelRequest |
| (*UndeployConversationModelRequest)(nil), // 17: google.cloud.dialogflow.v2.UndeployConversationModelRequest |
| (*GetConversationModelEvaluationRequest)(nil), // 18: google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest |
| (*ListConversationModelEvaluationsRequest)(nil), // 19: google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest |
| (*ListConversationModelEvaluationsResponse)(nil), // 20: google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse |
| (*CreateConversationModelEvaluationRequest)(nil), // 21: google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest |
| (*CreateConversationModelOperationMetadata)(nil), // 22: google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata |
| (*DeployConversationModelOperationMetadata)(nil), // 23: google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata |
| (*UndeployConversationModelOperationMetadata)(nil), // 24: google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata |
| (*DeleteConversationModelOperationMetadata)(nil), // 25: google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata |
| (*CreateConversationModelEvaluationOperationMetadata)(nil), // 26: google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata |
| (*EvaluationConfig_SmartReplyConfig)(nil), // 27: google.cloud.dialogflow.v2.EvaluationConfig.SmartReplyConfig |
| (*EvaluationConfig_SmartComposeConfig)(nil), // 28: google.cloud.dialogflow.v2.EvaluationConfig.SmartComposeConfig |
| (*SmartReplyMetrics_TopNMetrics)(nil), // 29: google.cloud.dialogflow.v2.SmartReplyMetrics.TopNMetrics |
| (*timestamppb.Timestamp)(nil), // 30: google.protobuf.Timestamp |
| (*longrunningpb.Operation)(nil), // 31: google.longrunning.Operation |
| } |
| var file_google_cloud_dialogflow_v2_conversation_model_proto_depIdxs = []int32{ |
| 30, // 0: google.cloud.dialogflow.v2.ConversationModel.create_time:type_name -> google.protobuf.Timestamp |
| 7, // 1: google.cloud.dialogflow.v2.ConversationModel.datasets:type_name -> google.cloud.dialogflow.v2.InputDataset |
| 0, // 2: google.cloud.dialogflow.v2.ConversationModel.state:type_name -> google.cloud.dialogflow.v2.ConversationModel.State |
| 8, // 3: google.cloud.dialogflow.v2.ConversationModel.article_suggestion_model_metadata:type_name -> google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata |
| 9, // 4: google.cloud.dialogflow.v2.ConversationModel.smart_reply_model_metadata:type_name -> google.cloud.dialogflow.v2.SmartReplyModelMetadata |
| 6, // 5: google.cloud.dialogflow.v2.ConversationModelEvaluation.evaluation_config:type_name -> google.cloud.dialogflow.v2.EvaluationConfig |
| 30, // 6: google.cloud.dialogflow.v2.ConversationModelEvaluation.create_time:type_name -> google.protobuf.Timestamp |
| 10, // 7: google.cloud.dialogflow.v2.ConversationModelEvaluation.smart_reply_metrics:type_name -> google.cloud.dialogflow.v2.SmartReplyMetrics |
| 7, // 8: google.cloud.dialogflow.v2.EvaluationConfig.datasets:type_name -> google.cloud.dialogflow.v2.InputDataset |
| 27, // 9: google.cloud.dialogflow.v2.EvaluationConfig.smart_reply_config:type_name -> google.cloud.dialogflow.v2.EvaluationConfig.SmartReplyConfig |
| 28, // 10: google.cloud.dialogflow.v2.EvaluationConfig.smart_compose_config:type_name -> google.cloud.dialogflow.v2.EvaluationConfig.SmartComposeConfig |
| 1, // 11: google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata.training_model_type:type_name -> google.cloud.dialogflow.v2.ConversationModel.ModelType |
| 1, // 12: google.cloud.dialogflow.v2.SmartReplyModelMetadata.training_model_type:type_name -> google.cloud.dialogflow.v2.ConversationModel.ModelType |
| 29, // 13: google.cloud.dialogflow.v2.SmartReplyMetrics.top_n_metrics:type_name -> google.cloud.dialogflow.v2.SmartReplyMetrics.TopNMetrics |
| 4, // 14: google.cloud.dialogflow.v2.CreateConversationModelRequest.conversation_model:type_name -> google.cloud.dialogflow.v2.ConversationModel |
| 4, // 15: google.cloud.dialogflow.v2.ListConversationModelsResponse.conversation_models:type_name -> google.cloud.dialogflow.v2.ConversationModel |
| 5, // 16: google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse.conversation_model_evaluations:type_name -> google.cloud.dialogflow.v2.ConversationModelEvaluation |
| 5, // 17: google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest.conversation_model_evaluation:type_name -> google.cloud.dialogflow.v2.ConversationModelEvaluation |
| 2, // 18: google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata.state:type_name -> google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata.State |
| 30, // 19: google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 30, // 20: google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 30, // 21: google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 30, // 22: google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 3, // 23: google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata.state:type_name -> google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata.State |
| 30, // 24: google.cloud.dialogflow.v2.CreateConversationModelEvaluationOperationMetadata.create_time:type_name -> google.protobuf.Timestamp |
| 11, // 25: google.cloud.dialogflow.v2.ConversationModels.CreateConversationModel:input_type -> google.cloud.dialogflow.v2.CreateConversationModelRequest |
| 12, // 26: google.cloud.dialogflow.v2.ConversationModels.GetConversationModel:input_type -> google.cloud.dialogflow.v2.GetConversationModelRequest |
| 13, // 27: google.cloud.dialogflow.v2.ConversationModels.ListConversationModels:input_type -> google.cloud.dialogflow.v2.ListConversationModelsRequest |
| 15, // 28: google.cloud.dialogflow.v2.ConversationModels.DeleteConversationModel:input_type -> google.cloud.dialogflow.v2.DeleteConversationModelRequest |
| 16, // 29: google.cloud.dialogflow.v2.ConversationModels.DeployConversationModel:input_type -> google.cloud.dialogflow.v2.DeployConversationModelRequest |
| 17, // 30: google.cloud.dialogflow.v2.ConversationModels.UndeployConversationModel:input_type -> google.cloud.dialogflow.v2.UndeployConversationModelRequest |
| 18, // 31: google.cloud.dialogflow.v2.ConversationModels.GetConversationModelEvaluation:input_type -> google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest |
| 19, // 32: google.cloud.dialogflow.v2.ConversationModels.ListConversationModelEvaluations:input_type -> google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest |
| 21, // 33: google.cloud.dialogflow.v2.ConversationModels.CreateConversationModelEvaluation:input_type -> google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest |
| 31, // 34: google.cloud.dialogflow.v2.ConversationModels.CreateConversationModel:output_type -> google.longrunning.Operation |
| 4, // 35: google.cloud.dialogflow.v2.ConversationModels.GetConversationModel:output_type -> google.cloud.dialogflow.v2.ConversationModel |
| 14, // 36: google.cloud.dialogflow.v2.ConversationModels.ListConversationModels:output_type -> google.cloud.dialogflow.v2.ListConversationModelsResponse |
| 31, // 37: google.cloud.dialogflow.v2.ConversationModels.DeleteConversationModel:output_type -> google.longrunning.Operation |
| 31, // 38: google.cloud.dialogflow.v2.ConversationModels.DeployConversationModel:output_type -> google.longrunning.Operation |
| 31, // 39: google.cloud.dialogflow.v2.ConversationModels.UndeployConversationModel:output_type -> google.longrunning.Operation |
| 5, // 40: google.cloud.dialogflow.v2.ConversationModels.GetConversationModelEvaluation:output_type -> google.cloud.dialogflow.v2.ConversationModelEvaluation |
| 20, // 41: google.cloud.dialogflow.v2.ConversationModels.ListConversationModelEvaluations:output_type -> google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse |
| 31, // 42: google.cloud.dialogflow.v2.ConversationModels.CreateConversationModelEvaluation:output_type -> google.longrunning.Operation |
| 34, // [34:43] is the sub-list for method output_type |
| 25, // [25:34] is the sub-list for method input_type |
| 25, // [25:25] is the sub-list for extension type_name |
| 25, // [25:25] is the sub-list for extension extendee |
| 0, // [0:25] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_dialogflow_v2_conversation_model_proto_init() } |
| func file_google_cloud_dialogflow_v2_conversation_model_proto_init() { |
| if File_google_cloud_dialogflow_v2_conversation_model_proto != nil { |
| return |
| } |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ConversationModel); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ConversationModelEvaluation); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*EvaluationConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*InputDataset); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ArticleSuggestionModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SmartReplyModelMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SmartReplyMetrics); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateConversationModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetConversationModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListConversationModelsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListConversationModelsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeleteConversationModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeployConversationModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UndeployConversationModelRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*GetConversationModelEvaluationRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListConversationModelEvaluationsRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ListConversationModelEvaluationsResponse); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateConversationModelEvaluationRequest); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateConversationModelOperationMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeployConversationModelOperationMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*UndeployConversationModelOperationMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeleteConversationModelOperationMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*CreateConversationModelEvaluationOperationMetadata); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*EvaluationConfig_SmartReplyConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*EvaluationConfig_SmartComposeConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SmartReplyMetrics_TopNMetrics); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*ConversationModel_ArticleSuggestionModelMetadata)(nil), |
| (*ConversationModel_SmartReplyModelMetadata)(nil), |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[1].OneofWrappers = []interface{}{ |
| (*ConversationModelEvaluation_SmartReplyMetrics)(nil), |
| } |
| file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes[2].OneofWrappers = []interface{}{ |
| (*EvaluationConfig_SmartReplyConfig_)(nil), |
| (*EvaluationConfig_SmartComposeConfig_)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_dialogflow_v2_conversation_model_proto_rawDesc, |
| NumEnums: 4, |
| NumMessages: 26, |
| NumExtensions: 0, |
| NumServices: 1, |
| }, |
| GoTypes: file_google_cloud_dialogflow_v2_conversation_model_proto_goTypes, |
| DependencyIndexes: file_google_cloud_dialogflow_v2_conversation_model_proto_depIdxs, |
| EnumInfos: file_google_cloud_dialogflow_v2_conversation_model_proto_enumTypes, |
| MessageInfos: file_google_cloud_dialogflow_v2_conversation_model_proto_msgTypes, |
| }.Build() |
| File_google_cloud_dialogflow_v2_conversation_model_proto = out.File |
| file_google_cloud_dialogflow_v2_conversation_model_proto_rawDesc = nil |
| file_google_cloud_dialogflow_v2_conversation_model_proto_goTypes = nil |
| file_google_cloud_dialogflow_v2_conversation_model_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 |
| |
| // ConversationModelsClient is the client API for ConversationModels service. |
| // |
| // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream. |
| type ConversationModelsClient interface { |
| // Creates a model. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata] |
| // - `response`: |
| // [ConversationModel][google.cloud.dialogflow.v2.ConversationModel] |
| CreateConversationModel(ctx context.Context, in *CreateConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| // Gets conversation model. |
| GetConversationModel(ctx context.Context, in *GetConversationModelRequest, opts ...grpc.CallOption) (*ConversationModel, error) |
| // Lists conversation models. |
| ListConversationModels(ctx context.Context, in *ListConversationModelsRequest, opts ...grpc.CallOption) (*ListConversationModelsResponse, error) |
| // Deletes a model. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| DeleteConversationModel(ctx context.Context, in *DeleteConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| // Deploys a model. If a model is already deployed, deploying it |
| // has no effect. A model can only serve prediction requests after it gets |
| // deployed. For article suggestion, custom model will not be used unless |
| // it is deployed. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| DeployConversationModel(ctx context.Context, in *DeployConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| // Undeploys a model. If the model is not deployed this method has no effect. |
| // If the model is currently being used: |
| // - For article suggestion, article suggestion will fallback to the default |
| // model if model is undeployed. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| UndeployConversationModel(ctx context.Context, in *UndeployConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| // Gets an evaluation of conversation model. |
| GetConversationModelEvaluation(ctx context.Context, in *GetConversationModelEvaluationRequest, opts ...grpc.CallOption) (*ConversationModelEvaluation, error) |
| // Lists evaluations of a conversation model. |
| ListConversationModelEvaluations(ctx context.Context, in *ListConversationModelEvaluationsRequest, opts ...grpc.CallOption) (*ListConversationModelEvaluationsResponse, error) |
| // Creates evaluation of a conversation model. |
| CreateConversationModelEvaluation(ctx context.Context, in *CreateConversationModelEvaluationRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) |
| } |
| |
| type conversationModelsClient struct { |
| cc grpc.ClientConnInterface |
| } |
| |
| func NewConversationModelsClient(cc grpc.ClientConnInterface) ConversationModelsClient { |
| return &conversationModelsClient{cc} |
| } |
| |
| func (c *conversationModelsClient) CreateConversationModel(ctx context.Context, in *CreateConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/CreateConversationModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) GetConversationModel(ctx context.Context, in *GetConversationModelRequest, opts ...grpc.CallOption) (*ConversationModel, error) { |
| out := new(ConversationModel) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/GetConversationModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) ListConversationModels(ctx context.Context, in *ListConversationModelsRequest, opts ...grpc.CallOption) (*ListConversationModelsResponse, error) { |
| out := new(ListConversationModelsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/ListConversationModels", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) DeleteConversationModel(ctx context.Context, in *DeleteConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/DeleteConversationModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) DeployConversationModel(ctx context.Context, in *DeployConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/DeployConversationModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) UndeployConversationModel(ctx context.Context, in *UndeployConversationModelRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/UndeployConversationModel", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) GetConversationModelEvaluation(ctx context.Context, in *GetConversationModelEvaluationRequest, opts ...grpc.CallOption) (*ConversationModelEvaluation, error) { |
| out := new(ConversationModelEvaluation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/GetConversationModelEvaluation", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) ListConversationModelEvaluations(ctx context.Context, in *ListConversationModelEvaluationsRequest, opts ...grpc.CallOption) (*ListConversationModelEvaluationsResponse, error) { |
| out := new(ListConversationModelEvaluationsResponse) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/ListConversationModelEvaluations", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| func (c *conversationModelsClient) CreateConversationModelEvaluation(ctx context.Context, in *CreateConversationModelEvaluationRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) { |
| out := new(longrunningpb.Operation) |
| err := c.cc.Invoke(ctx, "/google.cloud.dialogflow.v2.ConversationModels/CreateConversationModelEvaluation", in, out, opts...) |
| if err != nil { |
| return nil, err |
| } |
| return out, nil |
| } |
| |
| // ConversationModelsServer is the server API for ConversationModels service. |
| type ConversationModelsServer interface { |
| // Creates a model. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata] |
| // - `response`: |
| // [ConversationModel][google.cloud.dialogflow.v2.ConversationModel] |
| CreateConversationModel(context.Context, *CreateConversationModelRequest) (*longrunningpb.Operation, error) |
| // Gets conversation model. |
| GetConversationModel(context.Context, *GetConversationModelRequest) (*ConversationModel, error) |
| // Lists conversation models. |
| ListConversationModels(context.Context, *ListConversationModelsRequest) (*ListConversationModelsResponse, error) |
| // Deletes a model. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| DeleteConversationModel(context.Context, *DeleteConversationModelRequest) (*longrunningpb.Operation, error) |
| // Deploys a model. If a model is already deployed, deploying it |
| // has no effect. A model can only serve prediction requests after it gets |
| // deployed. For article suggestion, custom model will not be used unless |
| // it is deployed. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| DeployConversationModel(context.Context, *DeployConversationModelRequest) (*longrunningpb.Operation, error) |
| // Undeploys a model. If the model is not deployed this method has no effect. |
| // If the model is currently being used: |
| // - For article suggestion, article suggestion will fallback to the default |
| // model if model is undeployed. |
| // |
| // This method is a [long-running |
| // operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). |
| // The returned `Operation` type has the following method-specific fields: |
| // |
| // - `metadata`: |
| // [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata] |
| // - `response`: An [Empty |
| // message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty) |
| UndeployConversationModel(context.Context, *UndeployConversationModelRequest) (*longrunningpb.Operation, error) |
| // Gets an evaluation of conversation model. |
| GetConversationModelEvaluation(context.Context, *GetConversationModelEvaluationRequest) (*ConversationModelEvaluation, error) |
| // Lists evaluations of a conversation model. |
| ListConversationModelEvaluations(context.Context, *ListConversationModelEvaluationsRequest) (*ListConversationModelEvaluationsResponse, error) |
| // Creates evaluation of a conversation model. |
| CreateConversationModelEvaluation(context.Context, *CreateConversationModelEvaluationRequest) (*longrunningpb.Operation, error) |
| } |
| |
| // UnimplementedConversationModelsServer can be embedded to have forward compatible implementations. |
| type UnimplementedConversationModelsServer struct { |
| } |
| |
| func (*UnimplementedConversationModelsServer) CreateConversationModel(context.Context, *CreateConversationModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateConversationModel not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) GetConversationModel(context.Context, *GetConversationModelRequest) (*ConversationModel, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetConversationModel not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) ListConversationModels(context.Context, *ListConversationModelsRequest) (*ListConversationModelsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListConversationModels not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) DeleteConversationModel(context.Context, *DeleteConversationModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeleteConversationModel not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) DeployConversationModel(context.Context, *DeployConversationModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method DeployConversationModel not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) UndeployConversationModel(context.Context, *UndeployConversationModelRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method UndeployConversationModel not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) GetConversationModelEvaluation(context.Context, *GetConversationModelEvaluationRequest) (*ConversationModelEvaluation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method GetConversationModelEvaluation not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) ListConversationModelEvaluations(context.Context, *ListConversationModelEvaluationsRequest) (*ListConversationModelEvaluationsResponse, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method ListConversationModelEvaluations not implemented") |
| } |
| func (*UnimplementedConversationModelsServer) CreateConversationModelEvaluation(context.Context, *CreateConversationModelEvaluationRequest) (*longrunningpb.Operation, error) { |
| return nil, status.Errorf(codes.Unimplemented, "method CreateConversationModelEvaluation not implemented") |
| } |
| |
| func RegisterConversationModelsServer(s *grpc.Server, srv ConversationModelsServer) { |
| s.RegisterService(&_ConversationModels_serviceDesc, srv) |
| } |
| |
| func _ConversationModels_CreateConversationModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(CreateConversationModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).CreateConversationModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/CreateConversationModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).CreateConversationModel(ctx, req.(*CreateConversationModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_GetConversationModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetConversationModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).GetConversationModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/GetConversationModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).GetConversationModel(ctx, req.(*GetConversationModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_ListConversationModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListConversationModelsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).ListConversationModels(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/ListConversationModels", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).ListConversationModels(ctx, req.(*ListConversationModelsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_DeleteConversationModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeleteConversationModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).DeleteConversationModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/DeleteConversationModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).DeleteConversationModel(ctx, req.(*DeleteConversationModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_DeployConversationModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(DeployConversationModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).DeployConversationModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/DeployConversationModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).DeployConversationModel(ctx, req.(*DeployConversationModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_UndeployConversationModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(UndeployConversationModelRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).UndeployConversationModel(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/UndeployConversationModel", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).UndeployConversationModel(ctx, req.(*UndeployConversationModelRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_GetConversationModelEvaluation_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(GetConversationModelEvaluationRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).GetConversationModelEvaluation(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/GetConversationModelEvaluation", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).GetConversationModelEvaluation(ctx, req.(*GetConversationModelEvaluationRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_ListConversationModelEvaluations_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(ListConversationModelEvaluationsRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).ListConversationModelEvaluations(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/ListConversationModelEvaluations", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).ListConversationModelEvaluations(ctx, req.(*ListConversationModelEvaluationsRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| func _ConversationModels_CreateConversationModelEvaluation_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) { |
| in := new(CreateConversationModelEvaluationRequest) |
| if err := dec(in); err != nil { |
| return nil, err |
| } |
| if interceptor == nil { |
| return srv.(ConversationModelsServer).CreateConversationModelEvaluation(ctx, in) |
| } |
| info := &grpc.UnaryServerInfo{ |
| Server: srv, |
| FullMethod: "/google.cloud.dialogflow.v2.ConversationModels/CreateConversationModelEvaluation", |
| } |
| handler := func(ctx context.Context, req interface{}) (interface{}, error) { |
| return srv.(ConversationModelsServer).CreateConversationModelEvaluation(ctx, req.(*CreateConversationModelEvaluationRequest)) |
| } |
| return interceptor(ctx, in, info, handler) |
| } |
| |
| var _ConversationModels_serviceDesc = grpc.ServiceDesc{ |
| ServiceName: "google.cloud.dialogflow.v2.ConversationModels", |
| HandlerType: (*ConversationModelsServer)(nil), |
| Methods: []grpc.MethodDesc{ |
| { |
| MethodName: "CreateConversationModel", |
| Handler: _ConversationModels_CreateConversationModel_Handler, |
| }, |
| { |
| MethodName: "GetConversationModel", |
| Handler: _ConversationModels_GetConversationModel_Handler, |
| }, |
| { |
| MethodName: "ListConversationModels", |
| Handler: _ConversationModels_ListConversationModels_Handler, |
| }, |
| { |
| MethodName: "DeleteConversationModel", |
| Handler: _ConversationModels_DeleteConversationModel_Handler, |
| }, |
| { |
| MethodName: "DeployConversationModel", |
| Handler: _ConversationModels_DeployConversationModel_Handler, |
| }, |
| { |
| MethodName: "UndeployConversationModel", |
| Handler: _ConversationModels_UndeployConversationModel_Handler, |
| }, |
| { |
| MethodName: "GetConversationModelEvaluation", |
| Handler: _ConversationModels_GetConversationModelEvaluation_Handler, |
| }, |
| { |
| MethodName: "ListConversationModelEvaluations", |
| Handler: _ConversationModels_ListConversationModelEvaluations_Handler, |
| }, |
| { |
| MethodName: "CreateConversationModelEvaluation", |
| Handler: _ConversationModels_CreateConversationModelEvaluation_Handler, |
| }, |
| }, |
| Streams: []grpc.StreamDesc{}, |
| Metadata: "google/cloud/dialogflow/v2/conversation_model.proto", |
| } |