| // Copyright 2023 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1/endpoint.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| timestamppb "google.golang.org/protobuf/types/known/timestamppb" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // Models are deployed into it, and afterwards Endpoint is called to obtain |
| // predictions and explanations. |
| type Endpoint struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. The resource name of the Endpoint. |
| Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"` |
| // Required. The display name of the Endpoint. |
| // The name can be up to 128 characters long and can consist of any UTF-8 |
| // characters. |
| DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // The description of the Endpoint. |
| Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"` |
| // Output only. The models deployed in this Endpoint. |
| // To add or remove DeployedModels use |
| // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] |
| // and |
| // [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] |
| // respectively. |
| DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"` |
| // A map from a DeployedModel's ID to the percentage of this Endpoint's |
| // traffic that should be forwarded to that DeployedModel. |
| // |
| // If a DeployedModel's ID is not listed in this map, then it receives no |
| // traffic. |
| // |
| // The traffic percentage values must add up to 100, or map must be empty if |
| // the Endpoint is to not accept any traffic at a moment. |
| TrafficSplit map[string]int32 `protobuf:"bytes,5,rep,name=traffic_split,json=trafficSplit,proto3" json:"traffic_split,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"varint,2,opt,name=value,proto3"` |
| // Used to perform consistent read-modify-write updates. If not set, a blind |
| // "overwrite" update happens. |
| Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"` |
| // The labels with user-defined metadata to organize your Endpoints. |
| // |
| // Label keys and values can be no longer than 64 characters |
| // (Unicode codepoints), can only contain lowercase letters, numeric |
| // characters, underscores and dashes. International characters are allowed. |
| // |
| // See https://goo.gl/xmQnxf for more information and examples of labels. |
| Labels map[string]string `protobuf:"bytes,7,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // Output only. Timestamp when this Endpoint was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Timestamp when this Endpoint was last updated. |
| UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Customer-managed encryption key spec for an Endpoint. If set, this |
| // Endpoint and all sub-resources of this Endpoint will be secured by |
| // this key. |
| EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"` |
| // Optional. The full name of the Google Compute Engine |
| // [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) |
| // to which the Endpoint should be peered. |
| // |
| // Private services access must already be configured for the network. If left |
| // unspecified, the Endpoint is not peered with any network. |
| // |
| // Only one of the fields, |
| // [network][google.cloud.aiplatform.v1.Endpoint.network] or |
| // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect], |
| // can be set. |
| // |
| // [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert): |
| // `projects/{project}/global/networks/{network}`. |
| // Where `{project}` is a project number, as in `12345`, and `{network}` is |
| // network name. |
| Network string `protobuf:"bytes,13,opt,name=network,proto3" json:"network,omitempty"` |
| // Deprecated: If true, expose the Endpoint via private service connect. |
| // |
| // Only one of the fields, |
| // [network][google.cloud.aiplatform.v1.Endpoint.network] or |
| // [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect], |
| // can be set. |
| // |
| // Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto. |
| EnablePrivateServiceConnect bool `protobuf:"varint,17,opt,name=enable_private_service_connect,json=enablePrivateServiceConnect,proto3" json:"enable_private_service_connect,omitempty"` |
| // Optional. Configuration for private service connect. |
| // |
| // [network][google.cloud.aiplatform.v1.Endpoint.network] and |
| // [private_service_connect_config][google.cloud.aiplatform.v1.Endpoint.private_service_connect_config] |
| // are mutually exclusive. |
| PrivateServiceConnectConfig *PrivateServiceConnectConfig `protobuf:"bytes,21,opt,name=private_service_connect_config,json=privateServiceConnectConfig,proto3" json:"private_service_connect_config,omitempty"` |
| // Output only. Resource name of the Model Monitoring job associated with this |
| // Endpoint if monitoring is enabled by |
| // [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob]. |
| // Format: |
| // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}` |
| ModelDeploymentMonitoringJob string `protobuf:"bytes,14,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"` |
| // Configures the request-response logging for online prediction. |
| PredictRequestResponseLoggingConfig *PredictRequestResponseLoggingConfig `protobuf:"bytes,18,opt,name=predict_request_response_logging_config,json=predictRequestResponseLoggingConfig,proto3" json:"predict_request_response_logging_config,omitempty"` |
| } |
| |
| func (x *Endpoint) Reset() { |
| *x = Endpoint{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Endpoint) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Endpoint) ProtoMessage() {} |
| |
| func (x *Endpoint) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_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 Endpoint.ProtoReflect.Descriptor instead. |
| func (*Endpoint) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *Endpoint) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *Endpoint) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *Endpoint) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *Endpoint) GetDeployedModels() []*DeployedModel { |
| if x != nil { |
| return x.DeployedModels |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetTrafficSplit() map[string]int32 { |
| if x != nil { |
| return x.TrafficSplit |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetEtag() string { |
| if x != nil { |
| return x.Etag |
| } |
| return "" |
| } |
| |
| func (x *Endpoint) GetLabels() map[string]string { |
| if x != nil { |
| return x.Labels |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec { |
| if x != nil { |
| return x.EncryptionSpec |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetNetwork() string { |
| if x != nil { |
| return x.Network |
| } |
| return "" |
| } |
| |
| // Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/endpoint.proto. |
| func (x *Endpoint) GetEnablePrivateServiceConnect() bool { |
| if x != nil { |
| return x.EnablePrivateServiceConnect |
| } |
| return false |
| } |
| |
| func (x *Endpoint) GetPrivateServiceConnectConfig() *PrivateServiceConnectConfig { |
| if x != nil { |
| return x.PrivateServiceConnectConfig |
| } |
| return nil |
| } |
| |
| func (x *Endpoint) GetModelDeploymentMonitoringJob() string { |
| if x != nil { |
| return x.ModelDeploymentMonitoringJob |
| } |
| return "" |
| } |
| |
| func (x *Endpoint) GetPredictRequestResponseLoggingConfig() *PredictRequestResponseLoggingConfig { |
| if x != nil { |
| return x.PredictRequestResponseLoggingConfig |
| } |
| return nil |
| } |
| |
| // A deployment of a Model. Endpoints contain one or more DeployedModels. |
| type DeployedModel struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The prediction (for example, the machine) resources that the DeployedModel |
| // uses. The user is billed for the resources (at least their minimal amount) |
| // even if the DeployedModel receives no traffic. |
| // Not all Models support all resources types. See |
| // [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]. |
| // Required except for Large Model Deploy use cases. |
| // |
| // Types that are assignable to PredictionResources: |
| // |
| // *DeployedModel_DedicatedResources |
| // *DeployedModel_AutomaticResources |
| // *DeployedModel_SharedResources |
| PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"` |
| // Immutable. The ID of the DeployedModel. If not provided upon deployment, |
| // Vertex AI will generate a value for this ID. |
| // |
| // This value should be 1-10 characters, and valid characters are `/[0-9]/`. |
| Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"` |
| // Required. The resource name of the Model that this is the deployment of. |
| // Note that the Model may be in a different location than the DeployedModel's |
| // Endpoint. |
| // |
| // The resource name may contain version id or version alias to specify the |
| // version. |
| // |
| // Example: `projects/{project}/locations/{location}/models/{model}@2` |
| // or |
| // `projects/{project}/locations/{location}/models/{model}@golden` |
| // |
| // if no version is specified, the default version will be deployed. |
| Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"` |
| // Output only. The version ID of the model that is deployed. |
| ModelVersionId string `protobuf:"bytes,18,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"` |
| // The display name of the DeployedModel. If not provided upon creation, |
| // the Model's display_name is used. |
| DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // Output only. Timestamp when the DeployedModel was created. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Explanation configuration for this DeployedModel. |
| // |
| // When deploying a Model using |
| // [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], |
| // this value overrides the value of |
| // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. |
| // All fields of |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // are optional in the request. If a field of |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // is not populated, the value of the same field of |
| // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] |
| // is inherited. If the corresponding |
| // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] |
| // is not populated, all fields of the |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] |
| // will be used for the explanation configuration. |
| ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"` |
| // If true, deploy the model without explainable feature, regardless the |
| // existence of |
| // [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] |
| // or |
| // [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]. |
| DisableExplanations bool `protobuf:"varint,19,opt,name=disable_explanations,json=disableExplanations,proto3" json:"disable_explanations,omitempty"` |
| // The service account that the DeployedModel's container runs as. Specify the |
| // email address of the service account. If this service account is not |
| // specified, the container runs as a service account that doesn't have access |
| // to the resource project. |
| // |
| // Users deploying the Model must have the `iam.serviceAccounts.actAs` |
| // permission on this service account. |
| ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"` |
| // For custom-trained Models and AutoML Tabular Models, the container of the |
| // DeployedModel instances will send `stderr` and `stdout` streams to |
| // Cloud Logging by default. Please note that the logs incur cost, |
| // which are subject to [Cloud Logging |
| // pricing](https://cloud.google.com/logging/pricing). |
| // |
| // User can disable container logging by setting this flag to true. |
| DisableContainerLogging bool `protobuf:"varint,15,opt,name=disable_container_logging,json=disableContainerLogging,proto3" json:"disable_container_logging,omitempty"` |
| // If true, online prediction access logs are sent to Cloud |
| // Logging. |
| // These logs are like standard server access logs, containing |
| // information like timestamp and latency for each prediction request. |
| // |
| // Note that logs may incur a cost, especially if your project |
| // receives prediction requests at a high queries per second rate (QPS). |
| // Estimate your costs before enabling this option. |
| EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"` |
| // Output only. Provide paths for users to send predict/explain/health |
| // requests directly to the deployed model services running on Cloud via |
| // private services access. This field is populated if |
| // [network][google.cloud.aiplatform.v1.Endpoint.network] is configured. |
| PrivateEndpoints *PrivateEndpoints `protobuf:"bytes,14,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"` |
| } |
| |
| func (x *DeployedModel) Reset() { |
| *x = DeployedModel{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *DeployedModel) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*DeployedModel) ProtoMessage() {} |
| |
| func (x *DeployedModel) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_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 DeployedModel.ProtoReflect.Descriptor instead. |
| func (*DeployedModel) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources { |
| if m != nil { |
| return m.PredictionResources |
| } |
| return nil |
| } |
| |
| func (x *DeployedModel) GetDedicatedResources() *DedicatedResources { |
| if x, ok := x.GetPredictionResources().(*DeployedModel_DedicatedResources); ok { |
| return x.DedicatedResources |
| } |
| return nil |
| } |
| |
| func (x *DeployedModel) GetAutomaticResources() *AutomaticResources { |
| if x, ok := x.GetPredictionResources().(*DeployedModel_AutomaticResources); ok { |
| return x.AutomaticResources |
| } |
| return nil |
| } |
| |
| func (x *DeployedModel) GetSharedResources() string { |
| if x, ok := x.GetPredictionResources().(*DeployedModel_SharedResources); ok { |
| return x.SharedResources |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetId() string { |
| if x != nil { |
| return x.Id |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetModel() string { |
| if x != nil { |
| return x.Model |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetModelVersionId() string { |
| if x != nil { |
| return x.ModelVersionId |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec { |
| if x != nil { |
| return x.ExplanationSpec |
| } |
| return nil |
| } |
| |
| func (x *DeployedModel) GetDisableExplanations() bool { |
| if x != nil { |
| return x.DisableExplanations |
| } |
| return false |
| } |
| |
| func (x *DeployedModel) GetServiceAccount() string { |
| if x != nil { |
| return x.ServiceAccount |
| } |
| return "" |
| } |
| |
| func (x *DeployedModel) GetDisableContainerLogging() bool { |
| if x != nil { |
| return x.DisableContainerLogging |
| } |
| return false |
| } |
| |
| func (x *DeployedModel) GetEnableAccessLogging() bool { |
| if x != nil { |
| return x.EnableAccessLogging |
| } |
| return false |
| } |
| |
| func (x *DeployedModel) GetPrivateEndpoints() *PrivateEndpoints { |
| if x != nil { |
| return x.PrivateEndpoints |
| } |
| return nil |
| } |
| |
| type isDeployedModel_PredictionResources interface { |
| isDeployedModel_PredictionResources() |
| } |
| |
| type DeployedModel_DedicatedResources struct { |
| // A description of resources that are dedicated to the DeployedModel, and |
| // that need a higher degree of manual configuration. |
| DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"` |
| } |
| |
| type DeployedModel_AutomaticResources struct { |
| // A description of resources that to large degree are decided by Vertex |
| // AI, and require only a modest additional configuration. |
| AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"` |
| } |
| |
| type DeployedModel_SharedResources struct { |
| // The resource name of the shared DeploymentResourcePool to deploy on. |
| // Format: |
| // `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}` |
| SharedResources string `protobuf:"bytes,17,opt,name=shared_resources,json=sharedResources,proto3,oneof"` |
| } |
| |
| func (*DeployedModel_DedicatedResources) isDeployedModel_PredictionResources() {} |
| |
| func (*DeployedModel_AutomaticResources) isDeployedModel_PredictionResources() {} |
| |
| func (*DeployedModel_SharedResources) isDeployedModel_PredictionResources() {} |
| |
| // PrivateEndpoints proto is used to provide paths for users to send |
| // requests privately. |
| // To send request via private service access, use predict_http_uri, |
| // explain_http_uri or health_http_uri. To send request via private service |
| // connect, use service_attachment. |
| type PrivateEndpoints struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Output only. Http(s) path to send prediction requests. |
| PredictHttpUri string `protobuf:"bytes,1,opt,name=predict_http_uri,json=predictHttpUri,proto3" json:"predict_http_uri,omitempty"` |
| // Output only. Http(s) path to send explain requests. |
| ExplainHttpUri string `protobuf:"bytes,2,opt,name=explain_http_uri,json=explainHttpUri,proto3" json:"explain_http_uri,omitempty"` |
| // Output only. Http(s) path to send health check requests. |
| HealthHttpUri string `protobuf:"bytes,3,opt,name=health_http_uri,json=healthHttpUri,proto3" json:"health_http_uri,omitempty"` |
| // Output only. The name of the service attachment resource. Populated if |
| // private service connect is enabled. |
| ServiceAttachment string `protobuf:"bytes,4,opt,name=service_attachment,json=serviceAttachment,proto3" json:"service_attachment,omitempty"` |
| } |
| |
| func (x *PrivateEndpoints) Reset() { |
| *x = PrivateEndpoints{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *PrivateEndpoints) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*PrivateEndpoints) ProtoMessage() {} |
| |
| func (x *PrivateEndpoints) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_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 PrivateEndpoints.ProtoReflect.Descriptor instead. |
| func (*PrivateEndpoints) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *PrivateEndpoints) GetPredictHttpUri() string { |
| if x != nil { |
| return x.PredictHttpUri |
| } |
| return "" |
| } |
| |
| func (x *PrivateEndpoints) GetExplainHttpUri() string { |
| if x != nil { |
| return x.ExplainHttpUri |
| } |
| return "" |
| } |
| |
| func (x *PrivateEndpoints) GetHealthHttpUri() string { |
| if x != nil { |
| return x.HealthHttpUri |
| } |
| return "" |
| } |
| |
| func (x *PrivateEndpoints) GetServiceAttachment() string { |
| if x != nil { |
| return x.ServiceAttachment |
| } |
| return "" |
| } |
| |
| // Configuration for logging request-response to a BigQuery table. |
| type PredictRequestResponseLoggingConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // If logging is enabled or not. |
| Enabled bool `protobuf:"varint,1,opt,name=enabled,proto3" json:"enabled,omitempty"` |
| // Percentage of requests to be logged, expressed as a fraction in |
| // range(0,1]. |
| SamplingRate float64 `protobuf:"fixed64,2,opt,name=sampling_rate,json=samplingRate,proto3" json:"sampling_rate,omitempty"` |
| // BigQuery table for logging. |
| // If only given a project, a new dataset will be created with name |
| // `logging_<endpoint-display-name>_<endpoint-id>` where |
| // <endpoint-display-name> will be made BigQuery-dataset-name compatible (e.g. |
| // most special characters will become underscores). If no table name is |
| // given, a new table will be created with name `request_response_logging` |
| BigqueryDestination *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery_destination,json=bigqueryDestination,proto3" json:"bigquery_destination,omitempty"` |
| } |
| |
| func (x *PredictRequestResponseLoggingConfig) Reset() { |
| *x = PredictRequestResponseLoggingConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *PredictRequestResponseLoggingConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*PredictRequestResponseLoggingConfig) ProtoMessage() {} |
| |
| func (x *PredictRequestResponseLoggingConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_endpoint_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 PredictRequestResponseLoggingConfig.ProtoReflect.Descriptor instead. |
| func (*PredictRequestResponseLoggingConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (x *PredictRequestResponseLoggingConfig) GetEnabled() bool { |
| if x != nil { |
| return x.Enabled |
| } |
| return false |
| } |
| |
| func (x *PredictRequestResponseLoggingConfig) GetSamplingRate() float64 { |
| if x != nil { |
| return x.SamplingRate |
| } |
| return 0 |
| } |
| |
| func (x *PredictRequestResponseLoggingConfig) GetBigqueryDestination() *BigQueryDestination { |
| if x != nil { |
| return x.BigqueryDestination |
| } |
| return nil |
| } |
| |
| var File_google_cloud_aiplatform_v1_endpoint_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_endpoint_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData = file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_endpoint_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_endpoint_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_endpoint_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes = make([]protoimpl.MessageInfo, 6) |
| var file_google_cloud_aiplatform_v1_endpoint_proto_goTypes = []interface{}{ |
| (*Endpoint)(nil), // 0: google.cloud.aiplatform.v1.Endpoint |
| (*DeployedModel)(nil), // 1: google.cloud.aiplatform.v1.DeployedModel |
| (*PrivateEndpoints)(nil), // 2: google.cloud.aiplatform.v1.PrivateEndpoints |
| (*PredictRequestResponseLoggingConfig)(nil), // 3: google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig |
| nil, // 4: google.cloud.aiplatform.v1.Endpoint.TrafficSplitEntry |
| nil, // 5: google.cloud.aiplatform.v1.Endpoint.LabelsEntry |
| (*timestamppb.Timestamp)(nil), // 6: google.protobuf.Timestamp |
| (*EncryptionSpec)(nil), // 7: google.cloud.aiplatform.v1.EncryptionSpec |
| (*PrivateServiceConnectConfig)(nil), // 8: google.cloud.aiplatform.v1.PrivateServiceConnectConfig |
| (*DedicatedResources)(nil), // 9: google.cloud.aiplatform.v1.DedicatedResources |
| (*AutomaticResources)(nil), // 10: google.cloud.aiplatform.v1.AutomaticResources |
| (*ExplanationSpec)(nil), // 11: google.cloud.aiplatform.v1.ExplanationSpec |
| (*BigQueryDestination)(nil), // 12: google.cloud.aiplatform.v1.BigQueryDestination |
| } |
| var file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs = []int32{ |
| 1, // 0: google.cloud.aiplatform.v1.Endpoint.deployed_models:type_name -> google.cloud.aiplatform.v1.DeployedModel |
| 4, // 1: google.cloud.aiplatform.v1.Endpoint.traffic_split:type_name -> google.cloud.aiplatform.v1.Endpoint.TrafficSplitEntry |
| 5, // 2: google.cloud.aiplatform.v1.Endpoint.labels:type_name -> google.cloud.aiplatform.v1.Endpoint.LabelsEntry |
| 6, // 3: google.cloud.aiplatform.v1.Endpoint.create_time:type_name -> google.protobuf.Timestamp |
| 6, // 4: google.cloud.aiplatform.v1.Endpoint.update_time:type_name -> google.protobuf.Timestamp |
| 7, // 5: google.cloud.aiplatform.v1.Endpoint.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec |
| 8, // 6: google.cloud.aiplatform.v1.Endpoint.private_service_connect_config:type_name -> google.cloud.aiplatform.v1.PrivateServiceConnectConfig |
| 3, // 7: google.cloud.aiplatform.v1.Endpoint.predict_request_response_logging_config:type_name -> google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig |
| 9, // 8: google.cloud.aiplatform.v1.DeployedModel.dedicated_resources:type_name -> google.cloud.aiplatform.v1.DedicatedResources |
| 10, // 9: google.cloud.aiplatform.v1.DeployedModel.automatic_resources:type_name -> google.cloud.aiplatform.v1.AutomaticResources |
| 6, // 10: google.cloud.aiplatform.v1.DeployedModel.create_time:type_name -> google.protobuf.Timestamp |
| 11, // 11: google.cloud.aiplatform.v1.DeployedModel.explanation_spec:type_name -> google.cloud.aiplatform.v1.ExplanationSpec |
| 2, // 12: google.cloud.aiplatform.v1.DeployedModel.private_endpoints:type_name -> google.cloud.aiplatform.v1.PrivateEndpoints |
| 12, // 13: google.cloud.aiplatform.v1.PredictRequestResponseLoggingConfig.bigquery_destination:type_name -> google.cloud.aiplatform.v1.BigQueryDestination |
| 14, // [14:14] is the sub-list for method output_type |
| 14, // [14:14] is the sub-list for method input_type |
| 14, // [14:14] is the sub-list for extension type_name |
| 14, // [14:14] is the sub-list for extension extendee |
| 0, // [0:14] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_endpoint_proto_init() } |
| func file_google_cloud_aiplatform_v1_endpoint_proto_init() { |
| if File_google_cloud_aiplatform_v1_endpoint_proto != nil { |
| return |
| } |
| file_google_cloud_aiplatform_v1_encryption_spec_proto_init() |
| file_google_cloud_aiplatform_v1_explanation_proto_init() |
| file_google_cloud_aiplatform_v1_io_proto_init() |
| file_google_cloud_aiplatform_v1_machine_resources_proto_init() |
| file_google_cloud_aiplatform_v1_service_networking_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Endpoint); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*DeployedModel); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*PrivateEndpoints); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*PredictRequestResponseLoggingConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes[1].OneofWrappers = []interface{}{ |
| (*DeployedModel_DedicatedResources)(nil), |
| (*DeployedModel_AutomaticResources)(nil), |
| (*DeployedModel_SharedResources)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 6, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_endpoint_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs, |
| MessageInfos: file_google_cloud_aiplatform_v1_endpoint_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_endpoint_proto = out.File |
| file_google_cloud_aiplatform_v1_endpoint_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_endpoint_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_endpoint_proto_depIdxs = nil |
| } |
