Class: Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client

Inherits:
Object
  • Object
show all
Includes:
Paths
Defined in:
lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb

Overview

REST client for the GenAiTuningService service.

A service for creating and managing GenAI Tuning Jobs.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#context_path, #endpoint_path, #location_path, #model_path, #pipeline_job_path, #tuning_job_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new GenAiTuningService REST client object.

Examples:


# 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

Yields:

  • (config)

    Configure the GenAiTuningService client.

Yield Parameters:



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 128

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,
    logger: @config.logger
  )

  @gen_ai_tuning_service_stub.logger(stub: true)&.info do |entry|
    entry.set_system_name
    entry.set_service
    entry.message = "Created client for #{entry.service}"
    entry.set_credentials_fields credentials
    entry.set "customEndpoint", @config.endpoint if @config.endpoint
    entry.set "defaultTimeout", @config.timeout if @config.timeout
    entry.set "quotaProject", @quota_project_id if @quota_project_id
  end

  @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
    config.logger = @gen_ai_tuning_service_stub.logger if config.respond_to? :logger=
  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
    config.logger = @gen_ai_tuning_service_stub.logger if config.respond_to? :logger=
  end
end

Instance Attribute Details

#iam_policy_clientGoogle::Iam::V1::IAMPolicy::Rest::Client (readonly)

Get the associated client for mix-in of the IAMPolicy.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 214

def iam_policy_client
  @iam_policy_client
end

#location_clientGoogle::Cloud::Location::Locations::Rest::Client (readonly)

Get the associated client for mix-in of the Locations.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 207

def location_client
  @location_client
end

#operations_client::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Operations (readonly)

Get the associated client for long-running operations.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 200

def operations_client
  @operations_client
end

Class Method Details

.configure {|config| ... } ⇒ Client::Configuration

Configure the GenAiTuningService Client class.

See Configuration for a description of the configuration fields.

Examples:


# Modify the configuration for all GenAiTuningService clients
::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.configure do |config|
  config.timeout = 10.0
end

Yields:

  • (config)

    Configure the Client client.

Yield Parameters:



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 66

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

Instance Method Details

#cancel_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

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 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 TuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TuningJob.state is set to CANCELLED.

Examples:

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

Overloads:

  • #cancel_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_tuning_job via a request object, either of type CancelTuningJobRequest or an equivalent Hash.

  • #cancel_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

    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).

Yields:

  • (result, operation)

    Access the result along with the TransportOperation object

Yield Parameters:

Raises:

  • (::Google::Cloud::Error)

    if the REST call is aborted.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 537

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
   = @config.rpcs.cancel_tuning_job..to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  [:"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]

  [:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  [:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.cancel_tuning_job.timeout,
                         metadata:     ,
                         retry_policy: @config.rpcs.cancel_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.cancel_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#configure {|config| ... } ⇒ Client::Configuration

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 configure.

See Configuration for a description of the configuration fields.

Yields:

  • (config)

    Configure the Client client.

Yield Parameters:



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 98

def configure
  yield @config if block_given?
  @config
end

#create_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob #create_tuning_job(parent: nil, tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

Creates a TuningJob. A created TuningJob right away will be attempted to be run.

Examples:

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

Overloads:

  • #create_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    Pass arguments to create_tuning_job via a request object, either of type CreateTuningJobRequest or an equivalent Hash.

  • #create_tuning_job(parent: nil, tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    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).

Yields:

  • (result, operation)

    Access the result along with the TransportOperation object

Yield Parameters:

Raises:

  • (::Google::Cloud::Error)

    if the REST call is aborted.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 274

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
   = @config.rpcs.create_tuning_job..to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  [:"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]

  [:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  [:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.create_tuning_job.timeout,
                         metadata:     ,
                         retry_policy: @config.rpcs.create_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.create_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob #get_tuning_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

Gets a TuningJob.

Examples:

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

Overloads:

Yields:

  • (result, operation)

    Access the result along with the TransportOperation object

Yield Parameters:

Raises:

  • (::Google::Cloud::Error)

    if the REST call is aborted.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 353

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
   = @config.rpcs.get_tuning_job..to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  [:"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]

  [:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  [:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_tuning_job.timeout,
                         metadata:     ,
                         retry_policy: @config.rpcs.get_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.get_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_tuning_jobs(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob> #list_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

Lists TuningJobs in a Location.

Examples:

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

Overloads:

  • #list_tuning_jobs(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

    Pass arguments to list_tuning_jobs via a request object, either of type ListTuningJobsRequest or an equivalent Hash.

  • #list_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

    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).

Yields:

  • (result, operation)

    Access the result along with the TransportOperation object

Yield Parameters:

Raises:

  • (::Google::Cloud::Error)

    if the REST call is aborted.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 445

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
   = @config.rpcs.list_tuning_jobs..to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  [:"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]

  [:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  [:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.list_tuning_jobs.timeout,
                         metadata:     ,
                         retry_policy: @config.rpcs.list_tuning_jobs.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.,
                         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?
    throw :response, result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#loggerLogger

The logger used for request/response debug logging.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 221

def logger
  @gen_ai_tuning_service_stub.logger
end

#rebase_tuned_model(request, options = nil) ⇒ ::Gapic::Operation #rebase_tuned_model(parent: nil, tuned_model_ref: nil, tuning_job: nil, artifact_destination: nil, deploy_to_same_endpoint: nil) ⇒ ::Gapic::Operation

Rebase a TunedModel.

Examples:

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

Overloads:

  • #rebase_tuned_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to rebase_tuned_model via a request object, either of type RebaseTunedModelRequest or an equivalent Hash.

  • #rebase_tuned_model(parent: nil, tuned_model_ref: nil, tuning_job: nil, artifact_destination: nil, deploy_to_same_endpoint: nil) ⇒ ::Gapic::Operation

    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).

Yields:

  • (result, operation)

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Raises:

  • (::Google::Cloud::Error)

    if the REST call is aborted.



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 634

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
   = @config.rpcs.rebase_tuned_model..to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  [:"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]

  [:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  [:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.rebase_tuned_model.timeout,
                         metadata:     ,
                         retry_policy: @config.rpcs.rebase_tuned_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.,
                         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?
    throw :response, result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#universe_domainString

The effective universe domain



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# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 108

def universe_domain
  @gen_ai_tuning_service_stub.universe_domain
end