# frozen_string_literal: true
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# 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/genai_tuning_service_pb"
require "google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/service_stub"
require "google/cloud/location/rest"
require "google/iam/v1/rest"
module Google
module Cloud
module AIPlatform
module V1
module GenAiTuningService
module Rest
##
# REST client for the GenAiTuningService service.
#
# A service for creating and managing GenAI Tuning Jobs.
#
class Client
# @private
API_VERSION = ""
# @private
DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.$UNIVERSE_DOMAIN$"
include Paths
# @private
attr_reader :gen_ai_tuning_service_stub
##
# Configure the GenAiTuningService Client class.
#
# See {::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client::Configuration}
# for a description of the configuration fields.
#
# @example
#
# # Modify the configuration for all GenAiTuningService clients
# ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::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 GenAiTuningService 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::GenAiTuningService::Rest::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
##
# The effective universe domain
#
# @return [String]
#
def universe_domain
@gen_ai_tuning_service_stub.universe_domain
end
##
# Create a new GenAiTuningService REST client object.
#
# @example
#
# # Create a client using the default configuration
# client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new
#
# # Create a client using a custom configuration
# client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new do |config|
# config.timeout = 10.0
# end
#
# @yield [config] Configure the GenAiTuningService client.
# @yieldparam config [Client::Configuration]
#
def initialize
# 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.nil? ||
(@config.endpoint == Configuration::DEFAULT_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 = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Operations.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @config.endpoint
config.universe_domain = @config.universe_domain
end
@gen_ai_tuning_service_stub = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::ServiceStub.new(
endpoint: @config.endpoint,
endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
universe_domain: @config.universe_domain,
credentials: credentials
)
@location_client = Google::Cloud::Location::Locations::Rest::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @gen_ai_tuning_service_stub.endpoint
config.universe_domain = @gen_ai_tuning_service_stub.universe_domain
config.bindings_override = @config.bindings_override
end
@iam_policy_client = Google::Iam::V1::IAMPolicy::Rest::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @gen_ai_tuning_service_stub.endpoint
config.universe_domain = @gen_ai_tuning_service_stub.universe_domain
config.bindings_override = @config.bindings_override
end
end
##
# Get the associated client for long-running operations.
#
# @return [::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Operations]
#
attr_reader :operations_client
##
# Get the associated client for mix-in of the Locations.
#
# @return [Google::Cloud::Location::Locations::Rest::Client]
#
attr_reader :location_client
##
# Get the associated client for mix-in of the IAMPolicy.
#
# @return [Google::Iam::V1::IAMPolicy::Rest::Client]
#
attr_reader :iam_policy_client
# Service calls
##
# Creates a TuningJob. A created TuningJob right away will be attempted to
# be run.
#
# @overload create_tuning_job(request, options = nil)
# Pass arguments to `create_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateTuningJobRequest, ::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 create_tuning_job(parent: nil, tuning_job: nil)
# Pass arguments to `create_tuning_job` 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 create the TuningJob in.
# Format: `projects/{project}/locations/{location}`
# @param tuning_job [::Google::Cloud::AIPlatform::V1::TuningJob, ::Hash]
# Required. The TuningJob to create.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::TuningJob]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::TuningJob]
#
# @raise [::Google::Cloud::Error] if the REST call 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::GenAiTuningService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateTuningJobRequest.new
#
# # Call the create_tuning_job method.
# result = client.create_tuning_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::TuningJob.
# p result
#
def create_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTuningJobRequest
# 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
call_metadata = @config.rpcs.create_tuning_job.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_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,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.create_tuning_job.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.create_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@gen_ai_tuning_service_stub.create_tuning_job request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Gets a TuningJob.
#
# @overload get_tuning_job(request, options = nil)
# Pass arguments to `get_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetTuningJobRequest, ::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_tuning_job(name: nil)
# Pass arguments to `get_tuning_job` 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 TuningJob resource. Format:
# `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::TuningJob]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::TuningJob]
#
# @raise [::Google::Cloud::Error] if the REST call 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::GenAiTuningService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetTuningJobRequest.new
#
# # Call the get_tuning_job method.
# result = client.get_tuning_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::TuningJob.
# p result
#
def get_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTuningJobRequest
# 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
call_metadata = @config.rpcs.get_tuning_job.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_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,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.get_tuning_job.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.get_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@gen_ai_tuning_service_stub.get_tuning_job request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Lists TuningJobs in a Location.
#
# @overload list_tuning_jobs(request, options = nil)
# Pass arguments to `list_tuning_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListTuningJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListTuningJobsRequest, ::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_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil)
# Pass arguments to `list_tuning_jobs` 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 TuningJobs from.
# Format: `projects/{project}/locations/{location}`
# @param filter [::String]
# Optional. The standard list filter.
# @param page_size [::Integer]
# Optional. The standard list page size.
# @param page_token [::String]
# Optional. The standard list page token.
# Typically obtained via [ListTuningJob.next_page_token][] of the
# previous GenAiTuningService.ListTuningJob][] call.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>]
#
# @raise [::Google::Cloud::Error] if the REST call 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::GenAiTuningService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListTuningJobsRequest.new
#
# # Call the list_tuning_jobs method.
# result = client.list_tuning_jobs 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::TuningJob.
# p item
# end
#
def list_tuning_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTuningJobsRequest
# 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
call_metadata = @config.rpcs.list_tuning_jobs.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_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,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.list_tuning_jobs.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.list_tuning_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@gen_ai_tuning_service_stub.list_tuning_jobs request, options do |result, operation|
result = ::Gapic::Rest::PagedEnumerable.new @gen_ai_tuning_service_stub, :list_tuning_jobs, "tuning_jobs", request, result, options
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Cancels a TuningJob.
# Starts asynchronous cancellation on the TuningJob. The server makes a best
# effort to cancel the job, but success is not guaranteed. Clients can use
# {::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client#get_tuning_job GenAiTuningService.GetTuningJob}
# or other methods to check whether the cancellation succeeded or whether the
# job completed despite cancellation. On successful cancellation, the
# TuningJob is not deleted; instead it becomes a job with a
# {::Google::Cloud::AIPlatform::V1::TuningJob#error TuningJob.error} value with a
# {::Google::Rpc::Status#code google.rpc.Status.code} of 1, corresponding to
# `Code.CANCELLED`, and
# {::Google::Cloud::AIPlatform::V1::TuningJob#state TuningJob.state} is set to
# `CANCELLED`.
#
# @overload cancel_tuning_job(request, options = nil)
# Pass arguments to `cancel_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CancelTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CancelTuningJobRequest, ::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 cancel_tuning_job(name: nil)
# Pass arguments to `cancel_tuning_job` 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 TuningJob to cancel. Format:
# `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Protobuf::Empty]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Protobuf::Empty]
#
# @raise [::Google::Cloud::Error] if the REST call 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::GenAiTuningService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CancelTuningJobRequest.new
#
# # Call the cancel_tuning_job method.
# result = client.cancel_tuning_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def cancel_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelTuningJobRequest
# 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
call_metadata = @config.rpcs.cancel_tuning_job.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_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,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.cancel_tuning_job.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.cancel_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@gen_ai_tuning_service_stub.cancel_tuning_job request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Rebase a TunedModel.
# Creates a LongRunningOperation that takes a legacy Tuned GenAI model
# Reference and creates a TuningJob based on newly available model.
#
# @overload rebase_tuned_model(request, options = nil)
# Pass arguments to `rebase_tuned_model` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest, ::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 rebase_tuned_model(parent: nil, tuned_model_ref: nil, tuning_job: nil, artifact_destination: nil, deploy_to_same_endpoint: nil)
# Pass arguments to `rebase_tuned_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 rebase the Model.
# Format: `projects/{project}/locations/{location}`
# @param tuned_model_ref [::Google::Cloud::AIPlatform::V1::TunedModelRef, ::Hash]
# Required. TunedModel reference to retrieve the legacy model information.
# @param tuning_job [::Google::Cloud::AIPlatform::V1::TuningJob, ::Hash]
# Optional. The TuningJob to be updated. Users can use this TuningJob field
# to overwrite tuning configs.
# @param artifact_destination [::Google::Cloud::AIPlatform::V1::GcsDestination, ::Hash]
# Optional. The Google Cloud Storage location to write the artifacts.
# @param deploy_to_same_endpoint [::Boolean]
# Optional. By default, bison to gemini migration will always create new
# model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default
# deploy to the same endpoint. See details in this Section.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Gapic::Operation]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Gapic::Operation]
#
# @raise [::Google::Cloud::Error] if the REST call 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::GenAiTuningService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest.new
#
# # Call the rebase_tuned_model method.
# result = client.rebase_tuned_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 rebase_tuned_model request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest
# 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
call_metadata = @config.rpcs.rebase_tuned_model.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_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,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.rebase_tuned_model.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.rebase_tuned_model.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@gen_ai_tuning_service_stub.rebase_tuned_model request, options do |result, operation|
result = ::Gapic::Operation.new result, @operations_client, options: options
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Configuration class for the GenAiTuningService REST API.
#
# This class represents the configuration for GenAiTuningService REST,
# 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::GenAiTuningService::Rest::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
# # create_tuning_job to 20 seconds,
# # and all remaining timeouts to 10 seconds.
# ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.configure do |config|
# config.timeout = 10.0
# config.rpcs.create_tuning_job.timeout = 20.0
# end
#
# # Apply the above configuration only to a new client.
# client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new do |config|
# config.timeout = 10.0
# config.rpcs.create_tuning_job.timeout = 20.0
# end
#
# @!attribute [rw] endpoint
# A custom service endpoint, as a hostname or hostname:port. The default is
# nil, indicating to use the default endpoint in the current universe domain.
# @return [::String,nil]
# @!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://rubydoc.info/gems/googleauth/Google/Auth/Credentials))
# * (`Signet::OAuth2::Client`) A signet oauth2 client object
# (see the [signet docs](https://rubydoc.info/gems/signet/Signet/OAuth2/Client))
# * (`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] timeout
# The call timeout in seconds.
# @return [::Numeric]
# @!attribute [rw] metadata
# Additional 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<String>`) - The error codes that should
# trigger a retry.
# @return [::Hash]
# @!attribute [rw] quota_project
# A separate project against which to charge quota.
# @return [::String]
# @!attribute [rw] universe_domain
# The universe domain within which to make requests. This determines the
# default endpoint URL. The default value of nil uses the environment
# universe (usually the default "googleapis.com" universe).
# @return [::String,nil]
#
class Configuration
extend ::Gapic::Config
# @private
# The endpoint specific to the default "googleapis.com" universe. Deprecated.
DEFAULT_ENDPOINT = "aiplatform.googleapis.com"
config_attr :endpoint, nil, ::String, nil
config_attr :credentials, nil do |value|
allowed = [::String, ::Hash, ::Proc, ::Symbol, ::Google::Auth::Credentials, ::Signet::OAuth2::Client, nil]
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 :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
config_attr :universe_domain, nil, ::String, nil
# @private
# Overrides for http bindings for the RPCs of this service
# are only used when this service is used as mixin, and only
# by the host service.
# @return [::Hash{::Symbol=>::Array<::Gapic::Rest::GrpcTranscoder::HttpBinding>}]
config_attr :bindings_override, {}, ::Hash, 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 GenAiTuningService 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 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<String>`) - The error codes that should
# trigger a retry.
#
class Rpcs
##
# RPC-specific configuration for `create_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_tuning_job
##
# RPC-specific configuration for `get_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_tuning_job
##
# RPC-specific configuration for `list_tuning_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_tuning_jobs
##
# RPC-specific configuration for `cancel_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :cancel_tuning_job
##
# RPC-specific configuration for `rebase_tuned_model`
# @return [::Gapic::Config::Method]
#
attr_reader :rebase_tuned_model
# @private
def initialize parent_rpcs = nil
create_tuning_job_config = parent_rpcs.create_tuning_job if parent_rpcs.respond_to? :create_tuning_job
@create_tuning_job = ::Gapic::Config::Method.new create_tuning_job_config
get_tuning_job_config = parent_rpcs.get_tuning_job if parent_rpcs.respond_to? :get_tuning_job
@get_tuning_job = ::Gapic::Config::Method.new get_tuning_job_config
list_tuning_jobs_config = parent_rpcs.list_tuning_jobs if parent_rpcs.respond_to? :list_tuning_jobs
@list_tuning_jobs = ::Gapic::Config::Method.new list_tuning_jobs_config
cancel_tuning_job_config = parent_rpcs.cancel_tuning_job if parent_rpcs.respond_to? :cancel_tuning_job
@cancel_tuning_job = ::Gapic::Config::Method.new cancel_tuning_job_config
rebase_tuned_model_config = parent_rpcs.rebase_tuned_model if parent_rpcs.respond_to? :rebase_tuned_model
@rebase_tuned_model = ::Gapic::Config::Method.new rebase_tuned_model_config
yield self if block_given?
end
end
end
end
end
end
end
end
end
end