# frozen_string_literal: true # Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Auto-generated by gapic-generator-ruby. DO NOT EDIT! require "google/cloud/errors" require "google/cloud/aiplatform/v1/model_service_pb" require "google/cloud/location" require "google/iam/v1" module Google module Cloud module AIPlatform module V1 module ModelService ## # Client for the ModelService service. # # A service for managing Vertex AI's machine learning Models. # class Client include Paths # @private attr_reader :model_service_stub ## # Configure the ModelService Client class. # # See {::Google::Cloud::AIPlatform::V1::ModelService::Client::Configuration} # for a description of the configuration fields. # # @example # # # Modify the configuration for all ModelService clients # ::Google::Cloud::AIPlatform::V1::ModelService::Client.configure do |config| # config.timeout = 10.0 # end # # @yield [config] Configure the Client client. # @yieldparam config [Client::Configuration] # # @return [Client::Configuration] # def self.configure @configure ||= begin namespace = ["Google", "Cloud", "AIPlatform", "V1"] parent_config = while namespace.any? parent_name = namespace.join "::" parent_const = const_get parent_name break parent_const.configure if parent_const.respond_to? :configure namespace.pop end default_config = Client::Configuration.new parent_config default_config end yield @configure if block_given? @configure end ## # Configure the ModelService Client instance. # # The configuration is set to the derived mode, meaning that values can be changed, # but structural changes (adding new fields, etc.) are not allowed. Structural changes # should be made on {Client.configure}. # # See {::Google::Cloud::AIPlatform::V1::ModelService::Client::Configuration} # for a description of the configuration fields. # # @yield [config] Configure the Client client. # @yieldparam config [Client::Configuration] # # @return [Client::Configuration] # def configure yield @config if block_given? @config end ## # Create a new ModelService client object. # # @example # # # Create a client using the default configuration # client = ::Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a client using a custom configuration # client = ::Google::Cloud::AIPlatform::V1::ModelService::Client.new do |config| # config.timeout = 10.0 # end # # @yield [config] Configure the ModelService client. # @yieldparam config [Client::Configuration] # def initialize # These require statements are intentionally placed here to initialize # the gRPC module only when it's required. # See https://github.com/googleapis/toolkit/issues/446 require "gapic/grpc" require "google/cloud/aiplatform/v1/model_service_services_pb" # Create the configuration object @config = Configuration.new Client.configure # Yield the configuration if needed yield @config if block_given? # Create credentials credentials = @config.credentials # Use self-signed JWT if the endpoint is unchanged from default, # but only if the default endpoint does not have a region prefix. enable_self_signed_jwt = @config.endpoint == Client.configure.endpoint && !@config.endpoint.split(".").first.include?("-") credentials ||= Credentials.default scope: @config.scope, enable_self_signed_jwt: enable_self_signed_jwt if credentials.is_a?(::String) || credentials.is_a?(::Hash) credentials = Credentials.new credentials, scope: @config.scope end @quota_project_id = @config.quota_project @quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id @operations_client = Operations.new do |config| config.credentials = credentials config.quota_project = @quota_project_id config.endpoint = @config.endpoint end @location_client = Google::Cloud::Location::Locations::Client.new do |config| config.credentials = credentials config.quota_project = @quota_project_id config.endpoint = @config.endpoint end @iam_policy_client = Google::Iam::V1::IAMPolicy::Client.new do |config| config.credentials = credentials config.quota_project = @quota_project_id config.endpoint = @config.endpoint end @model_service_stub = ::Gapic::ServiceStub.new( ::Google::Cloud::AIPlatform::V1::ModelService::Stub, credentials: credentials, endpoint: @config.endpoint, channel_args: @config.channel_args, interceptors: @config.interceptors ) end ## # Get the associated client for long-running operations. # # @return [::Google::Cloud::AIPlatform::V1::ModelService::Operations] # attr_reader :operations_client ## # Get the associated client for mix-in of the Locations. # # @return [Google::Cloud::Location::Locations::Client] # attr_reader :location_client ## # Get the associated client for mix-in of the IAMPolicy. # # @return [Google::Iam::V1::IAMPolicy::Client] # attr_reader :iam_policy_client # Service calls ## # Uploads a Model artifact into Vertex AI. # # @overload upload_model(request, options = nil) # Pass arguments to `upload_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::UploadModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::UploadModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload upload_model(parent: nil, parent_model: nil, model_id: nil, model: nil, service_account: nil) # Pass arguments to `upload_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The resource name of the Location into which to upload the Model. # Format: `projects/{project}/locations/{location}` # @param parent_model [::String] # Optional. The resource name of the model into which to upload the version. # Only specify this field when uploading a new version. # @param model_id [::String] # Optional. The ID to use for the uploaded Model, which will become the final # component of the model resource name. # # This value may be up to 63 characters, and valid characters are # `[a-z0-9_-]`. The first character cannot be a number or hyphen. # @param model [::Google::Cloud::AIPlatform::V1::Model, ::Hash] # Required. The Model to create. # @param service_account [::String] # Optional. The user-provided custom service account to use to do the model # upload. If empty, [Vertex AI Service # Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents) # will be used. Users uploading the Model must have the # `iam.serviceAccounts.actAs` permission on this service account. Also, this # account must belong to the project specified in the `parent` field and have # all necessary read permissions. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::Operation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::Operation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::UploadModelRequest.new # # # Call the upload_model method. # result = client.upload_model request # # # The returned object is of type Gapic::Operation. You can use it to # # check the status of an operation, cancel it, or wait for results. # # Here is how to wait for a response. # result.wait_until_done! timeout: 60 # if result.response? # p result.response # else # puts "No response received." # end # def upload_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UploadModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.upload_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.upload_model.timeout, metadata: metadata, retry_policy: @config.rpcs.upload_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :upload_model, request, options: options do |response, operation| response = ::Gapic::Operation.new response, @operations_client, options: options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Gets a Model. # # @overload get_model(request, options = nil) # Pass arguments to `get_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::GetModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::GetModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload get_model(name: nil) # Pass arguments to `get_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the Model resource. # Format: `projects/{project}/locations/{location}/models/{model}` # # In order to retrieve a specific version of the model, also provide # the version ID or version alias. # Example: `projects/{project}/locations/{location}/models/{model}@2` # or # `projects/{project}/locations/{location}/models/{model}@golden` # If no version ID or alias is specified, the "default" version will be # returned. The "default" version alias is created for the first version of # the model, and can be moved to other versions later on. There will be # exactly one default version. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::Model] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::Model] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::GetModelRequest.new # # # Call the get_model method. # result = client.get_model request # # # The returned object is of type Google::Cloud::AIPlatform::V1::Model. # p result # def get_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.get_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.get_model.timeout, metadata: metadata, retry_policy: @config.rpcs.get_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :get_model, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Lists Models in a Location. # # @overload list_models(request, options = nil) # Pass arguments to `list_models` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ListModelsRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ListModelsRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload list_models(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil, order_by: nil) # Pass arguments to `list_models` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The resource name of the Location to list the Models from. # Format: `projects/{project}/locations/{location}` # @param filter [::String] # An expression for filtering the results of the request. For field names # both snake_case and camelCase are supported. # # * `model` supports = and !=. `model` represents the Model ID, # i.e. the last segment of the Model's [resource # name][google.cloud.aiplatform.v1.Model.name]. # * `display_name` supports = and != # * `labels` supports general map functions that is: # * `labels.key=value` - key:value equality # * `labels.key:* or labels:key - key existence # * A key including a space must be quoted. `labels."a key"`. # # Some examples: # # * `model=1234` # * `displayName="myDisplayName"` # * `labels.myKey="myValue"` # @param page_size [::Integer] # The standard list page size. # @param page_token [::String] # The standard list page token. # Typically obtained via # {::Google::Cloud::AIPlatform::V1::ListModelsResponse#next_page_token ListModelsResponse.next_page_token} # of the previous # {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_models ModelService.ListModels} # call. # @param read_mask [::Google::Protobuf::FieldMask, ::Hash] # Mask specifying which fields to read. # @param order_by [::String] # A comma-separated list of fields to order by, sorted in ascending order. # Use "desc" after a field name for descending. # Supported fields: # # * `display_name` # * `create_time` # * `update_time` # # Example: `display_name, create_time desc`. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ListModelsRequest.new # # # Call the list_models method. # result = client.list_models request # # # The returned object is of type Gapic::PagedEnumerable. You can iterate # # over elements, and API calls will be issued to fetch pages as needed. # result.each do |item| # # Each element is of type ::Google::Cloud::AIPlatform::V1::Model. # p item # end # def list_models request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelsRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.list_models.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.list_models.timeout, metadata: metadata, retry_policy: @config.rpcs.list_models.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :list_models, request, options: options do |response, operation| response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_models, request, response, operation, options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Lists versions of the specified model. # # @overload list_model_versions(request, options = nil) # Pass arguments to `list_model_versions` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload list_model_versions(name: nil, page_size: nil, page_token: nil, filter: nil, read_mask: nil, order_by: nil) # Pass arguments to `list_model_versions` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the model to list versions for. # @param page_size [::Integer] # The standard list page size. # @param page_token [::String] # The standard list page token. # Typically obtained via # {::Google::Cloud::AIPlatform::V1::ListModelVersionsResponse#next_page_token ListModelVersionsResponse.next_page_token} # of the previous [ModelService.ListModelversions][] call. # @param filter [::String] # An expression for filtering the results of the request. For field names # both snake_case and camelCase are supported. # # * `labels` supports general map functions that is: # * `labels.key=value` - key:value equality # * `labels.key:* or labels:key - key existence # * A key including a space must be quoted. `labels."a key"`. # # Some examples: # # * `labels.myKey="myValue"` # @param read_mask [::Google::Protobuf::FieldMask, ::Hash] # Mask specifying which fields to read. # @param order_by [::String] # A comma-separated list of fields to order by, sorted in ascending order. # Use "desc" after a field name for descending. # Supported fields: # # * `create_time` # * `update_time` # # Example: `update_time asc, create_time desc`. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ListModelVersionsRequest.new # # # Call the list_model_versions method. # result = client.list_model_versions request # # # The returned object is of type Gapic::PagedEnumerable. You can iterate # # over elements, and API calls will be issued to fetch pages as needed. # result.each do |item| # # Each element is of type ::Google::Cloud::AIPlatform::V1::Model. # p item # end # def list_model_versions request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.list_model_versions.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.list_model_versions.timeout, metadata: metadata, retry_policy: @config.rpcs.list_model_versions.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :list_model_versions, request, options: options do |response, operation| response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_versions, request, response, operation, options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Updates a Model. # # @overload update_model(request, options = nil) # Pass arguments to `update_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::UpdateModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::UpdateModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload update_model(model: nil, update_mask: nil) # Pass arguments to `update_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param model [::Google::Cloud::AIPlatform::V1::Model, ::Hash] # Required. The Model which replaces the resource on the server. # When Model Versioning is enabled, the model.name will be used to determine # whether to update the model or model version. # 1. model.name with the @ value, e.g. models/123@1, refers to a version # specific update. # 2. model.name without the @ value, e.g. models/123, refers to a model # update. # 3. model.name with @-, e.g. models/123@-, refers to a model update. # 4. Supported model fields: display_name, description; supported # version-specific fields: version_description. Labels are supported in both # scenarios. Both the model labels and the version labels are merged when a # model is returned. When updating labels, if the request is for # model-specific update, model label gets updated. Otherwise, version labels # get updated. # 5. A model name or model version name fields update mismatch will cause a # precondition error. # 6. One request cannot update both the model and the version fields. You # must update them separately. # @param update_mask [::Google::Protobuf::FieldMask, ::Hash] # Required. The update mask applies to the resource. # For the `FieldMask` definition, see # {::Google::Protobuf::FieldMask google.protobuf.FieldMask}. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::Model] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::Model] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::UpdateModelRequest.new # # # Call the update_model method. # result = client.update_model request # # # The returned object is of type Google::Cloud::AIPlatform::V1::Model. # p result # def update_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.update_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.model&.name header_params["model.name"] = request.model.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.update_model.timeout, metadata: metadata, retry_policy: @config.rpcs.update_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :update_model, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Deletes a Model. # # A model cannot be deleted if any # {::Google::Cloud::AIPlatform::V1::Endpoint Endpoint} resource has a # {::Google::Cloud::AIPlatform::V1::DeployedModel DeployedModel} based on the # model in its # {::Google::Cloud::AIPlatform::V1::Endpoint#deployed_models deployed_models} # field. # # @overload delete_model(request, options = nil) # Pass arguments to `delete_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::DeleteModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::DeleteModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload delete_model(name: nil) # Pass arguments to `delete_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the Model resource to be deleted. # Format: `projects/{project}/locations/{location}/models/{model}` # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::Operation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::Operation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::DeleteModelRequest.new # # # Call the delete_model method. # result = client.delete_model request # # # The returned object is of type Gapic::Operation. You can use it to # # check the status of an operation, cancel it, or wait for results. # # Here is how to wait for a response. # result.wait_until_done! timeout: 60 # if result.response? # p result.response # else # puts "No response received." # end # def delete_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.delete_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.delete_model.timeout, metadata: metadata, retry_policy: @config.rpcs.delete_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :delete_model, request, options: options do |response, operation| response = ::Gapic::Operation.new response, @operations_client, options: options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Deletes a Model version. # # Model version can only be deleted if there are no # {::Google::Cloud::AIPlatform::V1::DeployedModel DeployedModels} created from it. # Deleting the only version in the Model is not allowed. Use # {::Google::Cloud::AIPlatform::V1::ModelService::Client#delete_model DeleteModel} for # deleting the Model instead. # # @overload delete_model_version(request, options = nil) # Pass arguments to `delete_model_version` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload delete_model_version(name: nil) # Pass arguments to `delete_model_version` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the model version to be deleted, with a version ID # explicitly included. # # Example: `projects/{project}/locations/{location}/models/{model}@1234` # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::Operation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::Operation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest.new # # # Call the delete_model_version method. # result = client.delete_model_version request # # # The returned object is of type Gapic::Operation. You can use it to # # check the status of an operation, cancel it, or wait for results. # # Here is how to wait for a response. # result.wait_until_done! timeout: 60 # if result.response? # p result.response # else # puts "No response received." # end # def delete_model_version request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.delete_model_version.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.delete_model_version.timeout, metadata: metadata, retry_policy: @config.rpcs.delete_model_version.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :delete_model_version, request, options: options do |response, operation| response = ::Gapic::Operation.new response, @operations_client, options: options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Merges a set of aliases for a Model version. # # @overload merge_version_aliases(request, options = nil) # Pass arguments to `merge_version_aliases` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload merge_version_aliases(name: nil, version_aliases: nil) # Pass arguments to `merge_version_aliases` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the model version to merge aliases, with a version ID # explicitly included. # # Example: `projects/{project}/locations/{location}/models/{model}@1234` # @param version_aliases [::Array<::String>] # Required. The set of version aliases to merge. # The alias should be at most 128 characters, and match # `[a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]`. # Add the `-` prefix to an alias means removing that alias from the version. # `-` is NOT counted in the 128 characters. Example: `-golden` means removing # the `golden` alias from the version. # # There is NO ordering in aliases, which means # 1) The aliases returned from GetModel API might not have the exactly same # order from this MergeVersionAliases API. 2) Adding and deleting the same # alias in the request is not recommended, and the 2 operations will be # cancelled out. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::Model] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::Model] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest.new # # # Call the merge_version_aliases method. # result = client.merge_version_aliases request # # # The returned object is of type Google::Cloud::AIPlatform::V1::Model. # p result # def merge_version_aliases request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.merge_version_aliases.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.merge_version_aliases.timeout, metadata: metadata, retry_policy: @config.rpcs.merge_version_aliases.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :merge_version_aliases, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Exports a trained, exportable Model to a location specified by the # user. A Model is considered to be exportable if it has at least one # [supported export # format][google.cloud.aiplatform.v1.Model.supported_export_formats]. # # @overload export_model(request, options = nil) # Pass arguments to `export_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ExportModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ExportModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload export_model(name: nil, output_config: nil) # Pass arguments to `export_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The resource name of the Model to export. # The resource name may contain version id or version alias to specify the # version, if no version is specified, the default version will be exported. # @param output_config [::Google::Cloud::AIPlatform::V1::ExportModelRequest::OutputConfig, ::Hash] # Required. The desired output location and configuration. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::Operation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::Operation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ExportModelRequest.new # # # Call the export_model method. # result = client.export_model request # # # The returned object is of type Gapic::Operation. You can use it to # # check the status of an operation, cancel it, or wait for results. # # Here is how to wait for a response. # result.wait_until_done! timeout: 60 # if result.response? # p result.response # else # puts "No response received." # end # def export_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ExportModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.export_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.export_model.timeout, metadata: metadata, retry_policy: @config.rpcs.export_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :export_model, request, options: options do |response, operation| response = ::Gapic::Operation.new response, @operations_client, options: options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Copies an already existing Vertex AI Model into the specified Location. # The source Model must exist in the same Project. # When copying custom Models, the users themselves are responsible for # {::Google::Cloud::AIPlatform::V1::Model#metadata Model.metadata} content to be # region-agnostic, as well as making sure that any resources (e.g. files) it # depends on remain accessible. # # @overload copy_model(request, options = nil) # Pass arguments to `copy_model` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::CopyModelRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::CopyModelRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload copy_model(model_id: nil, parent_model: nil, parent: nil, source_model: nil, encryption_spec: nil) # Pass arguments to `copy_model` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param model_id [::String] # Optional. Copy source_model into a new Model with this ID. The ID will # become the final component of the model resource name. # # This value may be up to 63 characters, and valid characters are # `[a-z0-9_-]`. The first character cannot be a number or hyphen. # @param parent_model [::String] # Optional. Specify this field to copy source_model into this existing # Model as a new version. Format: # `projects/{project}/locations/{location}/models/{model}` # @param parent [::String] # Required. The resource name of the Location into which to copy the Model. # Format: `projects/{project}/locations/{location}` # @param source_model [::String] # Required. The resource name of the Model to copy. That Model must be in the # same Project. Format: # `projects/{project}/locations/{location}/models/{model}` # @param encryption_spec [::Google::Cloud::AIPlatform::V1::EncryptionSpec, ::Hash] # Customer-managed encryption key options. If this is set, # then the Model copy will be encrypted with the provided encryption key. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::Operation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::Operation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::CopyModelRequest.new # # # Call the copy_model method. # result = client.copy_model request # # # The returned object is of type Gapic::Operation. You can use it to # # check the status of an operation, cancel it, or wait for results. # # Here is how to wait for a response. # result.wait_until_done! timeout: 60 # if result.response? # p result.response # else # puts "No response received." # end # def copy_model request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CopyModelRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.copy_model.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.copy_model.timeout, metadata: metadata, retry_policy: @config.rpcs.copy_model.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :copy_model, request, options: options do |response, operation| response = ::Gapic::Operation.new response, @operations_client, options: options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Imports an externally generated ModelEvaluation. # # @overload import_model_evaluation(request, options = nil) # Pass arguments to `import_model_evaluation` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload import_model_evaluation(parent: nil, model_evaluation: nil) # Pass arguments to `import_model_evaluation` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The name of the parent model resource. # Format: `projects/{project}/locations/{location}/models/{model}` # @param model_evaluation [::Google::Cloud::AIPlatform::V1::ModelEvaluation, ::Hash] # Required. Model evaluation resource to be imported. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::ModelEvaluation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::ModelEvaluation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest.new # # # Call the import_model_evaluation method. # result = client.import_model_evaluation request # # # The returned object is of type Google::Cloud::AIPlatform::V1::ModelEvaluation. # p result # def import_model_evaluation request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.import_model_evaluation.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.import_model_evaluation.timeout, metadata: metadata, retry_policy: @config.rpcs.import_model_evaluation.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :import_model_evaluation, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Imports a list of externally generated ModelEvaluationSlice. # # @overload batch_import_model_evaluation_slices(request, options = nil) # Pass arguments to `batch_import_model_evaluation_slices` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload batch_import_model_evaluation_slices(parent: nil, model_evaluation_slices: nil) # Pass arguments to `batch_import_model_evaluation_slices` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The name of the parent ModelEvaluation resource. # Format: # `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}` # @param model_evaluation_slices [::Array<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice, ::Hash>] # Required. Model evaluation slice resource to be imported. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesRequest.new # # # Call the batch_import_model_evaluation_slices method. # result = client.batch_import_model_evaluation_slices request # # # The returned object is of type Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse. # p result # def batch_import_model_evaluation_slices request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.batch_import_model_evaluation_slices.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.batch_import_model_evaluation_slices.timeout, metadata: metadata, retry_policy: @config.rpcs.batch_import_model_evaluation_slices.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :batch_import_model_evaluation_slices, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Imports a list of externally generated EvaluatedAnnotations. # # @overload batch_import_evaluated_annotations(request, options = nil) # Pass arguments to `batch_import_evaluated_annotations` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload batch_import_evaluated_annotations(parent: nil, evaluated_annotations: nil) # Pass arguments to `batch_import_evaluated_annotations` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The name of the parent ModelEvaluationSlice resource. # Format: # `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}` # @param evaluated_annotations [::Array<::Google::Cloud::AIPlatform::V1::EvaluatedAnnotation, ::Hash>] # Required. Evaluated annotations resource to be imported. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsRequest.new # # # Call the batch_import_evaluated_annotations method. # result = client.batch_import_evaluated_annotations request # # # The returned object is of type Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse. # p result # def batch_import_evaluated_annotations request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.batch_import_evaluated_annotations.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.batch_import_evaluated_annotations.timeout, metadata: metadata, retry_policy: @config.rpcs.batch_import_evaluated_annotations.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :batch_import_evaluated_annotations, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Gets a ModelEvaluation. # # @overload get_model_evaluation(request, options = nil) # Pass arguments to `get_model_evaluation` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::GetModelEvaluationRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::GetModelEvaluationRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload get_model_evaluation(name: nil) # Pass arguments to `get_model_evaluation` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the ModelEvaluation resource. # Format: # `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}` # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::ModelEvaluation] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::ModelEvaluation] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::GetModelEvaluationRequest.new # # # Call the get_model_evaluation method. # result = client.get_model_evaluation request # # # The returned object is of type Google::Cloud::AIPlatform::V1::ModelEvaluation. # p result # def get_model_evaluation request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetModelEvaluationRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.get_model_evaluation.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.get_model_evaluation.timeout, metadata: metadata, retry_policy: @config.rpcs.get_model_evaluation.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :get_model_evaluation, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Lists ModelEvaluations in a Model. # # @overload list_model_evaluations(request, options = nil) # Pass arguments to `list_model_evaluations` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ListModelEvaluationsRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ListModelEvaluationsRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) # Pass arguments to `list_model_evaluations` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The resource name of the Model to list the ModelEvaluations from. # Format: `projects/{project}/locations/{location}/models/{model}` # @param filter [::String] # The standard list filter. # @param page_size [::Integer] # The standard list page size. # @param page_token [::String] # The standard list page token. # Typically obtained via # {::Google::Cloud::AIPlatform::V1::ListModelEvaluationsResponse#next_page_token ListModelEvaluationsResponse.next_page_token} # of the previous # {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluations ModelService.ListModelEvaluations} # call. # @param read_mask [::Google::Protobuf::FieldMask, ::Hash] # Mask specifying which fields to read. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluation>] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluation>] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ListModelEvaluationsRequest.new # # # Call the list_model_evaluations method. # result = client.list_model_evaluations request # # # The returned object is of type Gapic::PagedEnumerable. You can iterate # # over elements, and API calls will be issued to fetch pages as needed. # result.each do |item| # # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelEvaluation. # p item # end # def list_model_evaluations request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelEvaluationsRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.list_model_evaluations.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.list_model_evaluations.timeout, metadata: metadata, retry_policy: @config.rpcs.list_model_evaluations.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :list_model_evaluations, request, options: options do |response, operation| response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_evaluations, request, response, operation, options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Gets a ModelEvaluationSlice. # # @overload get_model_evaluation_slice(request, options = nil) # Pass arguments to `get_model_evaluation_slice` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload get_model_evaluation_slice(name: nil) # Pass arguments to `get_model_evaluation_slice` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param name [::String] # Required. The name of the ModelEvaluationSlice resource. # Format: # `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}` # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest.new # # # Call the get_model_evaluation_slice method. # result = client.get_model_evaluation_slice request # # # The returned object is of type Google::Cloud::AIPlatform::V1::ModelEvaluationSlice. # p result # def get_model_evaluation_slice request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.get_model_evaluation_slice.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.name header_params["name"] = request.name end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.get_model_evaluation_slice.timeout, metadata: metadata, retry_policy: @config.rpcs.get_model_evaluation_slice.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :get_model_evaluation_slice, request, options: options do |response, operation| yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Lists ModelEvaluationSlices in a ModelEvaluation. # # @overload list_model_evaluation_slices(request, options = nil) # Pass arguments to `list_model_evaluation_slices` via a request object, either of type # {::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest, ::Hash] # A request object representing the call parameters. Required. To specify no # parameters, or to keep all the default parameter values, pass an empty Hash. # @param options [::Gapic::CallOptions, ::Hash] # Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. # # @overload list_model_evaluation_slices(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) # Pass arguments to `list_model_evaluation_slices` via keyword arguments. Note that at # least one keyword argument is required. To specify no parameters, or to keep all # the default parameter values, pass an empty Hash as a request object (see above). # # @param parent [::String] # Required. The resource name of the ModelEvaluation to list the # ModelEvaluationSlices from. Format: # `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}` # @param filter [::String] # The standard list filter. # # * `slice.dimension` - for =. # @param page_size [::Integer] # The standard list page size. # @param page_token [::String] # The standard list page token. # Typically obtained via # {::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesResponse#next_page_token ListModelEvaluationSlicesResponse.next_page_token} # of the previous # {::Google::Cloud::AIPlatform::V1::ModelService::Client#list_model_evaluation_slices ModelService.ListModelEvaluationSlices} # call. # @param read_mask [::Google::Protobuf::FieldMask, ::Hash] # Mask specifying which fields to read. # # @yield [response, operation] Access the result along with the RPC operation # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>] # @yieldparam operation [::GRPC::ActiveCall::Operation] # # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>] # # @raise [::Google::Cloud::Error] if the RPC is aborted. # # @example Basic example # require "google/cloud/ai_platform/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AIPlatform::V1::ModelService::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest.new # # # Call the list_model_evaluation_slices method. # result = client.list_model_evaluation_slices request # # # The returned object is of type Gapic::PagedEnumerable. You can iterate # # over elements, and API calls will be issued to fetch pages as needed. # result.each do |item| # # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice. # p item # end # def list_model_evaluation_slices request, options = nil raise ::ArgumentError, "request must be provided" if request.nil? request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest # Converts hash and nil to an options object options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h # Customize the options with defaults metadata = @config.rpcs.list_model_evaluation_slices.metadata.to_h # Set x-goog-api-client and x-goog-user-project headers metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \ lib_name: @config.lib_name, lib_version: @config.lib_version, gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id header_params = {} if request.parent header_params["parent"] = request.parent end request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&") metadata[:"x-goog-request-params"] ||= request_params_header options.apply_defaults timeout: @config.rpcs.list_model_evaluation_slices.timeout, metadata: metadata, retry_policy: @config.rpcs.list_model_evaluation_slices.retry_policy options.apply_defaults timeout: @config.timeout, metadata: @config.metadata, retry_policy: @config.retry_policy @model_service_stub.call_rpc :list_model_evaluation_slices, request, options: options do |response, operation| response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_evaluation_slices, request, response, operation, options yield response, operation if block_given? return response end rescue ::GRPC::BadStatus => e raise ::Google::Cloud::Error.from_error(e) end ## # Configuration class for the ModelService API. # # This class represents the configuration for ModelService, # providing control over timeouts, retry behavior, logging, transport # parameters, and other low-level controls. Certain parameters can also be # applied individually to specific RPCs. See # {::Google::Cloud::AIPlatform::V1::ModelService::Client::Configuration::Rpcs} # for a list of RPCs that can be configured independently. # # Configuration can be applied globally to all clients, or to a single client # on construction. # # @example # # # Modify the global config, setting the timeout for # # upload_model to 20 seconds, # # and all remaining timeouts to 10 seconds. # ::Google::Cloud::AIPlatform::V1::ModelService::Client.configure do |config| # config.timeout = 10.0 # config.rpcs.upload_model.timeout = 20.0 # end # # # Apply the above configuration only to a new client. # client = ::Google::Cloud::AIPlatform::V1::ModelService::Client.new do |config| # config.timeout = 10.0 # config.rpcs.upload_model.timeout = 20.0 # end # # @!attribute [rw] endpoint # The hostname or hostname:port of the service endpoint. # Defaults to `"aiplatform.googleapis.com"`. # @return [::String] # @!attribute [rw] credentials # Credentials to send with calls. You may provide any of the following types: # * (`String`) The path to a service account key file in JSON format # * (`Hash`) A service account key as a Hash # * (`Google::Auth::Credentials`) A googleauth credentials object # (see the [googleauth docs](https://googleapis.dev/ruby/googleauth/latest/index.html)) # * (`Signet::OAuth2::Client`) A signet oauth2 client object # (see the [signet docs](https://googleapis.dev/ruby/signet/latest/Signet/OAuth2/Client.html)) # * (`GRPC::Core::Channel`) a gRPC channel with included credentials # * (`GRPC::Core::ChannelCredentials`) a gRPC credentails object # * (`nil`) indicating no credentials # @return [::Object] # @!attribute [rw] scope # The OAuth scopes # @return [::Array<::String>] # @!attribute [rw] lib_name # The library name as recorded in instrumentation and logging # @return [::String] # @!attribute [rw] lib_version # The library version as recorded in instrumentation and logging # @return [::String] # @!attribute [rw] channel_args # Extra parameters passed to the gRPC channel. Note: this is ignored if a # `GRPC::Core::Channel` object is provided as the credential. # @return [::Hash] # @!attribute [rw] interceptors # An array of interceptors that are run before calls are executed. # @return [::Array<::GRPC::ClientInterceptor>] # @!attribute [rw] timeout # The call timeout in seconds. # @return [::Numeric] # @!attribute [rw] metadata # Additional gRPC headers to be sent with the call. # @return [::Hash{::Symbol=>::String}] # @!attribute [rw] retry_policy # The retry policy. The value is a hash with the following keys: # * `:initial_delay` (*type:* `Numeric`) - The initial delay in seconds. # * `:max_delay` (*type:* `Numeric`) - The max delay in seconds. # * `:multiplier` (*type:* `Numeric`) - The incremental backoff multiplier. # * `:retry_codes` (*type:* `Array`) - The error codes that should # trigger a retry. # @return [::Hash] # @!attribute [rw] quota_project # A separate project against which to charge quota. # @return [::String] # class Configuration extend ::Gapic::Config config_attr :endpoint, "aiplatform.googleapis.com", ::String config_attr :credentials, nil do |value| allowed = [::String, ::Hash, ::Proc, ::Symbol, ::Google::Auth::Credentials, ::Signet::OAuth2::Client, nil] allowed += [::GRPC::Core::Channel, ::GRPC::Core::ChannelCredentials] if defined? ::GRPC allowed.any? { |klass| klass === value } end config_attr :scope, nil, ::String, ::Array, nil config_attr :lib_name, nil, ::String, nil config_attr :lib_version, nil, ::String, nil config_attr(:channel_args, { "grpc.service_config_disable_resolution" => 1 }, ::Hash, nil) config_attr :interceptors, nil, ::Array, nil config_attr :timeout, nil, ::Numeric, nil config_attr :metadata, nil, ::Hash, nil config_attr :retry_policy, nil, ::Hash, ::Proc, nil config_attr :quota_project, nil, ::String, nil # @private def initialize parent_config = nil @parent_config = parent_config unless parent_config.nil? yield self if block_given? end ## # Configurations for individual RPCs # @return [Rpcs] # def rpcs @rpcs ||= begin parent_rpcs = nil parent_rpcs = @parent_config.rpcs if defined?(@parent_config) && @parent_config.respond_to?(:rpcs) Rpcs.new parent_rpcs end end ## # Configuration RPC class for the ModelService API. # # Includes fields providing the configuration for each RPC in this service. # Each configuration object is of type `Gapic::Config::Method` and includes # the following configuration fields: # # * `timeout` (*type:* `Numeric`) - The call timeout in seconds # * `metadata` (*type:* `Hash{Symbol=>String}`) - Additional gRPC headers # * `retry_policy (*type:* `Hash`) - The retry policy. The policy fields # include the following keys: # * `:initial_delay` (*type:* `Numeric`) - The initial delay in seconds. # * `:max_delay` (*type:* `Numeric`) - The max delay in seconds. # * `:multiplier` (*type:* `Numeric`) - The incremental backoff multiplier. # * `:retry_codes` (*type:* `Array`) - The error codes that should # trigger a retry. # class Rpcs ## # RPC-specific configuration for `upload_model` # @return [::Gapic::Config::Method] # attr_reader :upload_model ## # RPC-specific configuration for `get_model` # @return [::Gapic::Config::Method] # attr_reader :get_model ## # RPC-specific configuration for `list_models` # @return [::Gapic::Config::Method] # attr_reader :list_models ## # RPC-specific configuration for `list_model_versions` # @return [::Gapic::Config::Method] # attr_reader :list_model_versions ## # RPC-specific configuration for `update_model` # @return [::Gapic::Config::Method] # attr_reader :update_model ## # RPC-specific configuration for `delete_model` # @return [::Gapic::Config::Method] # attr_reader :delete_model ## # RPC-specific configuration for `delete_model_version` # @return [::Gapic::Config::Method] # attr_reader :delete_model_version ## # RPC-specific configuration for `merge_version_aliases` # @return [::Gapic::Config::Method] # attr_reader :merge_version_aliases ## # RPC-specific configuration for `export_model` # @return [::Gapic::Config::Method] # attr_reader :export_model ## # RPC-specific configuration for `copy_model` # @return [::Gapic::Config::Method] # attr_reader :copy_model ## # RPC-specific configuration for `import_model_evaluation` # @return [::Gapic::Config::Method] # attr_reader :import_model_evaluation ## # RPC-specific configuration for `batch_import_model_evaluation_slices` # @return [::Gapic::Config::Method] # attr_reader :batch_import_model_evaluation_slices ## # RPC-specific configuration for `batch_import_evaluated_annotations` # @return [::Gapic::Config::Method] # attr_reader :batch_import_evaluated_annotations ## # RPC-specific configuration for `get_model_evaluation` # @return [::Gapic::Config::Method] # attr_reader :get_model_evaluation ## # RPC-specific configuration for `list_model_evaluations` # @return [::Gapic::Config::Method] # attr_reader :list_model_evaluations ## # RPC-specific configuration for `get_model_evaluation_slice` # @return [::Gapic::Config::Method] # attr_reader :get_model_evaluation_slice ## # RPC-specific configuration for `list_model_evaluation_slices` # @return [::Gapic::Config::Method] # attr_reader :list_model_evaluation_slices # @private def initialize parent_rpcs = nil upload_model_config = parent_rpcs.upload_model if parent_rpcs.respond_to? :upload_model @upload_model = ::Gapic::Config::Method.new upload_model_config get_model_config = parent_rpcs.get_model if parent_rpcs.respond_to? :get_model @get_model = ::Gapic::Config::Method.new get_model_config list_models_config = parent_rpcs.list_models if parent_rpcs.respond_to? :list_models @list_models = ::Gapic::Config::Method.new list_models_config list_model_versions_config = parent_rpcs.list_model_versions if parent_rpcs.respond_to? :list_model_versions @list_model_versions = ::Gapic::Config::Method.new list_model_versions_config update_model_config = parent_rpcs.update_model if parent_rpcs.respond_to? :update_model @update_model = ::Gapic::Config::Method.new update_model_config delete_model_config = parent_rpcs.delete_model if parent_rpcs.respond_to? :delete_model @delete_model = ::Gapic::Config::Method.new delete_model_config delete_model_version_config = parent_rpcs.delete_model_version if parent_rpcs.respond_to? :delete_model_version @delete_model_version = ::Gapic::Config::Method.new delete_model_version_config merge_version_aliases_config = parent_rpcs.merge_version_aliases if parent_rpcs.respond_to? :merge_version_aliases @merge_version_aliases = ::Gapic::Config::Method.new merge_version_aliases_config export_model_config = parent_rpcs.export_model if parent_rpcs.respond_to? :export_model @export_model = ::Gapic::Config::Method.new export_model_config copy_model_config = parent_rpcs.copy_model if parent_rpcs.respond_to? :copy_model @copy_model = ::Gapic::Config::Method.new copy_model_config import_model_evaluation_config = parent_rpcs.import_model_evaluation if parent_rpcs.respond_to? :import_model_evaluation @import_model_evaluation = ::Gapic::Config::Method.new import_model_evaluation_config batch_import_model_evaluation_slices_config = parent_rpcs.batch_import_model_evaluation_slices if parent_rpcs.respond_to? :batch_import_model_evaluation_slices @batch_import_model_evaluation_slices = ::Gapic::Config::Method.new batch_import_model_evaluation_slices_config batch_import_evaluated_annotations_config = parent_rpcs.batch_import_evaluated_annotations if parent_rpcs.respond_to? :batch_import_evaluated_annotations @batch_import_evaluated_annotations = ::Gapic::Config::Method.new batch_import_evaluated_annotations_config get_model_evaluation_config = parent_rpcs.get_model_evaluation if parent_rpcs.respond_to? :get_model_evaluation @get_model_evaluation = ::Gapic::Config::Method.new get_model_evaluation_config list_model_evaluations_config = parent_rpcs.list_model_evaluations if parent_rpcs.respond_to? :list_model_evaluations @list_model_evaluations = ::Gapic::Config::Method.new list_model_evaluations_config get_model_evaluation_slice_config = parent_rpcs.get_model_evaluation_slice if parent_rpcs.respond_to? :get_model_evaluation_slice @get_model_evaluation_slice = ::Gapic::Config::Method.new get_model_evaluation_slice_config list_model_evaluation_slices_config = parent_rpcs.list_model_evaluation_slices if parent_rpcs.respond_to? :list_model_evaluation_slices @list_model_evaluation_slices = ::Gapic::Config::Method.new list_model_evaluation_slices_config yield self if block_given? end end end end end end end end end