# 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/job_service_pb"
module Google
module Cloud
module AIPlatform
module V1
module JobService
##
# Client for the JobService service.
#
# A service for creating and managing Vertex AI's jobs.
#
class Client
include Paths
# @private
attr_reader :job_service_stub
##
# Configure the JobService Client class.
#
# See {::Google::Cloud::AIPlatform::V1::JobService::Client::Configuration}
# for a description of the configuration fields.
#
# @example
#
# # Modify the configuration for all JobService clients
# ::Google::Cloud::AIPlatform::V1::JobService::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 JobService 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::JobService::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 JobService client object.
#
# @example
#
# # Create a client using the default configuration
# client = ::Google::Cloud::AIPlatform::V1::JobService::Client.new
#
# # Create a client using a custom configuration
# client = ::Google::Cloud::AIPlatform::V1::JobService::Client.new do |config|
# config.timeout = 10.0
# end
#
# @yield [config] Configure the JobService 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/job_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
@job_service_stub = ::Gapic::ServiceStub.new(
::Google::Cloud::AIPlatform::V1::JobService::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::JobService::Operations]
#
attr_reader :operations_client
# Service calls
##
# Creates a CustomJob. A created CustomJob right away
# will be attempted to be run.
#
# @overload create_custom_job(request, options = nil)
# Pass arguments to `create_custom_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateCustomJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateCustomJobRequest, ::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_custom_job(parent: nil, custom_job: nil)
# Pass arguments to `create_custom_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 CustomJob in.
# Format: `projects/{project}/locations/{location}`
# @param custom_job [::Google::Cloud::AIPlatform::V1::CustomJob, ::Hash]
# Required. The CustomJob to create.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::CustomJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::CustomJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateCustomJobRequest.new
#
# # Call the create_custom_job method.
# result = client.create_custom_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::CustomJob.
# p result
#
def create_custom_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateCustomJobRequest
# 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.create_custom_job.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.create_custom_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.create_custom_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :create_custom_job, 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 CustomJob.
#
# @overload get_custom_job(request, options = nil)
# Pass arguments to `get_custom_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetCustomJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetCustomJobRequest, ::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_custom_job(name: nil)
# Pass arguments to `get_custom_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 CustomJob resource.
# Format:
# `projects/{project}/locations/{location}/customJobs/{custom_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::CustomJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::CustomJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetCustomJobRequest.new
#
# # Call the get_custom_job method.
# result = client.get_custom_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::CustomJob.
# p result
#
def get_custom_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetCustomJobRequest
# 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_custom_job.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_custom_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.get_custom_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :get_custom_job, 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 CustomJobs in a Location.
#
# @overload list_custom_jobs(request, options = nil)
# Pass arguments to `list_custom_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListCustomJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListCustomJobsRequest, ::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_custom_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil)
# Pass arguments to `list_custom_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 CustomJobs from.
# Format: `projects/{project}/locations/{location}`
# @param filter [::String]
# The standard list filter.
#
# Supported fields:
#
# * `display_name` supports = and !=.
#
# * `state` supports = and !=.
#
# Some examples of using the filter are:
#
# * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
#
# * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
#
# * `NOT display_name="my_job"`
#
# * `state="JOB_STATE_FAILED"`
# @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::ListCustomJobsResponse#next_page_token ListCustomJobsResponse.next_page_token} of the previous
# {::Google::Cloud::AIPlatform::V1::JobService::Client#list_custom_jobs JobService.ListCustomJobs} 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::CustomJob>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::CustomJob>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListCustomJobsRequest.new
#
# # Call the list_custom_jobs method.
# result = client.list_custom_jobs request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::CustomJob.
# p response
# end
#
def list_custom_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListCustomJobsRequest
# 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_custom_jobs.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_custom_jobs.timeout,
metadata: metadata,
retry_policy: @config.rpcs.list_custom_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :list_custom_jobs, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :list_custom_jobs, 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
##
# Deletes a CustomJob.
#
# @overload delete_custom_job(request, options = nil)
# Pass arguments to `delete_custom_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DeleteCustomJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DeleteCustomJobRequest, ::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_custom_job(name: nil)
# Pass arguments to `delete_custom_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 CustomJob resource to be deleted.
# Format:
# `projects/{project}/locations/{location}/customJobs/{custom_job}`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DeleteCustomJobRequest.new
#
# # Call the delete_custom_job method.
# result = client.delete_custom_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def delete_custom_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteCustomJobRequest
# 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_custom_job.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_custom_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.delete_custom_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :delete_custom_job, 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
##
# Cancels a CustomJob.
# Starts asynchronous cancellation on the CustomJob. The server
# makes a best effort to cancel the job, but success is not
# guaranteed. Clients can use {::Google::Cloud::AIPlatform::V1::JobService::Client#get_custom_job JobService.GetCustomJob} or
# other methods to check whether the cancellation succeeded or whether the
# job completed despite cancellation. On successful cancellation,
# the CustomJob is not deleted; instead it becomes a job with
# a {::Google::Cloud::AIPlatform::V1::CustomJob#error CustomJob.error} value with a {::Google::Rpc::Status#code google.rpc.Status.code} of 1,
# corresponding to `Code.CANCELLED`, and {::Google::Cloud::AIPlatform::V1::CustomJob#state CustomJob.state} is set to
# `CANCELLED`.
#
# @overload cancel_custom_job(request, options = nil)
# Pass arguments to `cancel_custom_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CancelCustomJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CancelCustomJobRequest, ::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_custom_job(name: nil)
# Pass arguments to `cancel_custom_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 CustomJob to cancel.
# Format:
# `projects/{project}/locations/{location}/customJobs/{custom_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CancelCustomJobRequest.new
#
# # Call the cancel_custom_job method.
# result = client.cancel_custom_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def cancel_custom_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelCustomJobRequest
# 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.cancel_custom_job.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.cancel_custom_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.cancel_custom_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :cancel_custom_job, 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
##
# Creates a DataLabelingJob.
#
# @overload create_data_labeling_job(request, options = nil)
# Pass arguments to `create_data_labeling_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateDataLabelingJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateDataLabelingJobRequest, ::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_data_labeling_job(parent: nil, data_labeling_job: nil)
# Pass arguments to `create_data_labeling_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 parent of the DataLabelingJob.
# Format: `projects/{project}/locations/{location}`
# @param data_labeling_job [::Google::Cloud::AIPlatform::V1::DataLabelingJob, ::Hash]
# Required. The DataLabelingJob to create.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::DataLabelingJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::DataLabelingJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateDataLabelingJobRequest.new
#
# # Call the create_data_labeling_job method.
# result = client.create_data_labeling_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::DataLabelingJob.
# p result
#
def create_data_labeling_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateDataLabelingJobRequest
# 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.create_data_labeling_job.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.create_data_labeling_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.create_data_labeling_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :create_data_labeling_job, 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 DataLabelingJob.
#
# @overload get_data_labeling_job(request, options = nil)
# Pass arguments to `get_data_labeling_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetDataLabelingJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetDataLabelingJobRequest, ::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_data_labeling_job(name: nil)
# Pass arguments to `get_data_labeling_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 DataLabelingJob.
# Format:
# `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::DataLabelingJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::DataLabelingJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetDataLabelingJobRequest.new
#
# # Call the get_data_labeling_job method.
# result = client.get_data_labeling_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::DataLabelingJob.
# p result
#
def get_data_labeling_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetDataLabelingJobRequest
# 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_data_labeling_job.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_data_labeling_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.get_data_labeling_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :get_data_labeling_job, 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 DataLabelingJobs in a Location.
#
# @overload list_data_labeling_jobs(request, options = nil)
# Pass arguments to `list_data_labeling_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListDataLabelingJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListDataLabelingJobsRequest, ::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_data_labeling_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil, order_by: nil)
# Pass arguments to `list_data_labeling_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 parent of the DataLabelingJob.
# Format: `projects/{project}/locations/{location}`
# @param filter [::String]
# The standard list filter.
#
# Supported fields:
#
# * `display_name` supports = and !=.
#
# * `state` supports = and !=.
#
# Some examples of using the filter are:
#
# * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
#
# * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
#
# * `NOT display_name="my_job"`
#
# * `state="JOB_STATE_FAILED"`
# @param page_size [::Integer]
# The standard list page size.
# @param page_token [::String]
# The standard list page token.
# @param read_mask [::Google::Protobuf::FieldMask, ::Hash]
# Mask specifying which fields to read. FieldMask represents a set of
# symbolic field paths. For example, the mask can be `paths: "name"`. The
# "name" here is a field in DataLabelingJob.
# If this field is not set, all fields of the DataLabelingJob are returned.
# @param order_by [::String]
# A comma-separated list of fields to order by, sorted in ascending order by
# default.
# Use `desc` after a field name for descending.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::DataLabelingJob>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::DataLabelingJob>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListDataLabelingJobsRequest.new
#
# # Call the list_data_labeling_jobs method.
# result = client.list_data_labeling_jobs request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::DataLabelingJob.
# p response
# end
#
def list_data_labeling_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListDataLabelingJobsRequest
# 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_data_labeling_jobs.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_data_labeling_jobs.timeout,
metadata: metadata,
retry_policy: @config.rpcs.list_data_labeling_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :list_data_labeling_jobs, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :list_data_labeling_jobs, 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
##
# Deletes a DataLabelingJob.
#
# @overload delete_data_labeling_job(request, options = nil)
# Pass arguments to `delete_data_labeling_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DeleteDataLabelingJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DeleteDataLabelingJobRequest, ::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_data_labeling_job(name: nil)
# Pass arguments to `delete_data_labeling_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 DataLabelingJob to be deleted.
# Format:
# `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DeleteDataLabelingJobRequest.new
#
# # Call the delete_data_labeling_job method.
# result = client.delete_data_labeling_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def delete_data_labeling_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteDataLabelingJobRequest
# 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_data_labeling_job.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_data_labeling_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.delete_data_labeling_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :delete_data_labeling_job, 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
##
# Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
#
# @overload cancel_data_labeling_job(request, options = nil)
# Pass arguments to `cancel_data_labeling_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CancelDataLabelingJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CancelDataLabelingJobRequest, ::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_data_labeling_job(name: nil)
# Pass arguments to `cancel_data_labeling_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 DataLabelingJob.
# Format:
# `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CancelDataLabelingJobRequest.new
#
# # Call the cancel_data_labeling_job method.
# result = client.cancel_data_labeling_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def cancel_data_labeling_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelDataLabelingJobRequest
# 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.cancel_data_labeling_job.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.cancel_data_labeling_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.cancel_data_labeling_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :cancel_data_labeling_job, 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
##
# Creates a HyperparameterTuningJob
#
# @overload create_hyperparameter_tuning_job(request, options = nil)
# Pass arguments to `create_hyperparameter_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateHyperparameterTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(parent: nil, hyperparameter_tuning_job: nil)
# Pass arguments to `create_hyperparameter_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 HyperparameterTuningJob in.
# Format: `projects/{project}/locations/{location}`
# @param hyperparameter_tuning_job [::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob, ::Hash]
# Required. The HyperparameterTuningJob to create.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateHyperparameterTuningJobRequest.new
#
# # Call the create_hyperparameter_tuning_job method.
# result = client.create_hyperparameter_tuning_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::HyperparameterTuningJob.
# p result
#
def create_hyperparameter_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateHyperparameterTuningJobRequest
# 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.create_hyperparameter_tuning_job.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.create_hyperparameter_tuning_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.create_hyperparameter_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :create_hyperparameter_tuning_job, 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 HyperparameterTuningJob
#
# @overload get_hyperparameter_tuning_job(request, options = nil)
# Pass arguments to `get_hyperparameter_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetHyperparameterTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(name: nil)
# Pass arguments to `get_hyperparameter_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 HyperparameterTuningJob resource.
# Format:
# `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetHyperparameterTuningJobRequest.new
#
# # Call the get_hyperparameter_tuning_job method.
# result = client.get_hyperparameter_tuning_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::HyperparameterTuningJob.
# p result
#
def get_hyperparameter_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetHyperparameterTuningJobRequest
# 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_hyperparameter_tuning_job.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_hyperparameter_tuning_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.get_hyperparameter_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :get_hyperparameter_tuning_job, 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 HyperparameterTuningJobs in a Location.
#
# @overload list_hyperparameter_tuning_jobs(request, options = nil)
# Pass arguments to `list_hyperparameter_tuning_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListHyperparameterTuningJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListHyperparameterTuningJobsRequest, ::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_hyperparameter_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil)
# Pass arguments to `list_hyperparameter_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 HyperparameterTuningJobs
# from. Format: `projects/{project}/locations/{location}`
# @param filter [::String]
# The standard list filter.
#
# Supported fields:
#
# * `display_name` supports = and !=.
#
# * `state` supports = and !=.
#
# Some examples of using the filter are:
#
# * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
#
# * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
#
# * `NOT display_name="my_job"`
#
# * `state="JOB_STATE_FAILED"`
# @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::ListHyperparameterTuningJobsResponse#next_page_token ListHyperparameterTuningJobsResponse.next_page_token} of the previous
# {::Google::Cloud::AIPlatform::V1::JobService::Client#list_hyperparameter_tuning_jobs JobService.ListHyperparameterTuningJobs} 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::HyperparameterTuningJob>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListHyperparameterTuningJobsRequest.new
#
# # Call the list_hyperparameter_tuning_jobs method.
# result = client.list_hyperparameter_tuning_jobs request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob.
# p response
# end
#
def list_hyperparameter_tuning_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListHyperparameterTuningJobsRequest
# 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_hyperparameter_tuning_jobs.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_hyperparameter_tuning_jobs.timeout,
metadata: metadata,
retry_policy: @config.rpcs.list_hyperparameter_tuning_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :list_hyperparameter_tuning_jobs, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :list_hyperparameter_tuning_jobs, 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
##
# Deletes a HyperparameterTuningJob.
#
# @overload delete_hyperparameter_tuning_job(request, options = nil)
# Pass arguments to `delete_hyperparameter_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DeleteHyperparameterTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DeleteHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(name: nil)
# Pass arguments to `delete_hyperparameter_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 HyperparameterTuningJob resource to be deleted.
# Format:
# `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DeleteHyperparameterTuningJobRequest.new
#
# # Call the delete_hyperparameter_tuning_job method.
# result = client.delete_hyperparameter_tuning_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def delete_hyperparameter_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteHyperparameterTuningJobRequest
# 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_hyperparameter_tuning_job.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_hyperparameter_tuning_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.delete_hyperparameter_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :delete_hyperparameter_tuning_job, 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
##
# Cancels a HyperparameterTuningJob.
# Starts asynchronous cancellation on the HyperparameterTuningJob. The server
# makes a best effort to cancel the job, but success is not
# guaranteed. Clients can use {::Google::Cloud::AIPlatform::V1::JobService::Client#get_hyperparameter_tuning_job JobService.GetHyperparameterTuningJob} or
# other methods to check whether the cancellation succeeded or whether the
# job completed despite cancellation. On successful cancellation,
# the HyperparameterTuningJob is not deleted; instead it becomes a job with
# a {::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob#error HyperparameterTuningJob.error} value with a {::Google::Rpc::Status#code google.rpc.Status.code}
# of 1, corresponding to `Code.CANCELLED`, and
# {::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob#state HyperparameterTuningJob.state} is set to `CANCELLED`.
#
# @overload cancel_hyperparameter_tuning_job(request, options = nil)
# Pass arguments to `cancel_hyperparameter_tuning_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CancelHyperparameterTuningJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CancelHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(name: nil)
# Pass arguments to `cancel_hyperparameter_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 HyperparameterTuningJob to cancel.
# Format:
# `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CancelHyperparameterTuningJobRequest.new
#
# # Call the cancel_hyperparameter_tuning_job method.
# result = client.cancel_hyperparameter_tuning_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def cancel_hyperparameter_tuning_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelHyperparameterTuningJobRequest
# 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.cancel_hyperparameter_tuning_job.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.cancel_hyperparameter_tuning_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.cancel_hyperparameter_tuning_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :cancel_hyperparameter_tuning_job, 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
##
# Creates a BatchPredictionJob. A BatchPredictionJob once created will
# right away be attempted to start.
#
# @overload create_batch_prediction_job(request, options = nil)
# Pass arguments to `create_batch_prediction_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateBatchPredictionJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateBatchPredictionJobRequest, ::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_batch_prediction_job(parent: nil, batch_prediction_job: nil)
# Pass arguments to `create_batch_prediction_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 BatchPredictionJob in.
# Format: `projects/{project}/locations/{location}`
# @param batch_prediction_job [::Google::Cloud::AIPlatform::V1::BatchPredictionJob, ::Hash]
# Required. The BatchPredictionJob to create.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchPredictionJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::BatchPredictionJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateBatchPredictionJobRequest.new
#
# # Call the create_batch_prediction_job method.
# result = client.create_batch_prediction_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::BatchPredictionJob.
# p result
#
def create_batch_prediction_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateBatchPredictionJobRequest
# 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.create_batch_prediction_job.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.create_batch_prediction_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.create_batch_prediction_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :create_batch_prediction_job, 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 BatchPredictionJob
#
# @overload get_batch_prediction_job(request, options = nil)
# Pass arguments to `get_batch_prediction_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetBatchPredictionJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetBatchPredictionJobRequest, ::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_batch_prediction_job(name: nil)
# Pass arguments to `get_batch_prediction_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 BatchPredictionJob resource.
# Format:
# `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchPredictionJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::BatchPredictionJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetBatchPredictionJobRequest.new
#
# # Call the get_batch_prediction_job method.
# result = client.get_batch_prediction_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::BatchPredictionJob.
# p result
#
def get_batch_prediction_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetBatchPredictionJobRequest
# 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_batch_prediction_job.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_batch_prediction_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.get_batch_prediction_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :get_batch_prediction_job, 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 BatchPredictionJobs in a Location.
#
# @overload list_batch_prediction_jobs(request, options = nil)
# Pass arguments to `list_batch_prediction_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListBatchPredictionJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListBatchPredictionJobsRequest, ::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_batch_prediction_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil)
# Pass arguments to `list_batch_prediction_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 BatchPredictionJobs
# from. Format: `projects/{project}/locations/{location}`
# @param filter [::String]
# The standard list filter.
#
# Supported fields:
#
# * `display_name` supports = and !=.
#
# * `state` supports = and !=.
#
# * `model_display_name` supports = and !=
#
# Some examples of using the filter are:
#
# * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
#
# * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
#
# * `NOT display_name="my_job"`
#
# * `state="JOB_STATE_FAILED"`
# @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::ListBatchPredictionJobsResponse#next_page_token ListBatchPredictionJobsResponse.next_page_token} of the previous
# {::Google::Cloud::AIPlatform::V1::JobService::Client#list_batch_prediction_jobs JobService.ListBatchPredictionJobs} 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::BatchPredictionJob>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::BatchPredictionJob>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListBatchPredictionJobsRequest.new
#
# # Call the list_batch_prediction_jobs method.
# result = client.list_batch_prediction_jobs request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::BatchPredictionJob.
# p response
# end
#
def list_batch_prediction_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListBatchPredictionJobsRequest
# 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_batch_prediction_jobs.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_batch_prediction_jobs.timeout,
metadata: metadata,
retry_policy: @config.rpcs.list_batch_prediction_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :list_batch_prediction_jobs, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :list_batch_prediction_jobs, 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
##
# Deletes a BatchPredictionJob. Can only be called on jobs that already
# finished.
#
# @overload delete_batch_prediction_job(request, options = nil)
# Pass arguments to `delete_batch_prediction_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DeleteBatchPredictionJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DeleteBatchPredictionJobRequest, ::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_batch_prediction_job(name: nil)
# Pass arguments to `delete_batch_prediction_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 BatchPredictionJob resource to be deleted.
# Format:
# `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DeleteBatchPredictionJobRequest.new
#
# # Call the delete_batch_prediction_job method.
# result = client.delete_batch_prediction_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def delete_batch_prediction_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteBatchPredictionJobRequest
# 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_batch_prediction_job.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_batch_prediction_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.delete_batch_prediction_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :delete_batch_prediction_job, 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
##
# Cancels a BatchPredictionJob.
#
# Starts asynchronous cancellation on the BatchPredictionJob. The server
# makes the best effort to cancel the job, but success is not
# guaranteed. Clients can use {::Google::Cloud::AIPlatform::V1::JobService::Client#get_batch_prediction_job JobService.GetBatchPredictionJob} or
# other methods to check whether the cancellation succeeded or whether the
# job completed despite cancellation. On a successful cancellation,
# the BatchPredictionJob is not deleted;instead its
# {::Google::Cloud::AIPlatform::V1::BatchPredictionJob#state BatchPredictionJob.state} is set to `CANCELLED`. Any files already
# outputted by the job are not deleted.
#
# @overload cancel_batch_prediction_job(request, options = nil)
# Pass arguments to `cancel_batch_prediction_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CancelBatchPredictionJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CancelBatchPredictionJobRequest, ::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_batch_prediction_job(name: nil)
# Pass arguments to `cancel_batch_prediction_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 BatchPredictionJob to cancel.
# Format:
# `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CancelBatchPredictionJobRequest.new
#
# # Call the cancel_batch_prediction_job method.
# result = client.cancel_batch_prediction_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def cancel_batch_prediction_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelBatchPredictionJobRequest
# 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.cancel_batch_prediction_job.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.cancel_batch_prediction_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.cancel_batch_prediction_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :cancel_batch_prediction_job, 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
##
# Creates a ModelDeploymentMonitoringJob. It will run periodically on a
# configured interval.
#
# @overload create_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `create_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::CreateModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::CreateModelDeploymentMonitoringJobRequest, ::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_model_deployment_monitoring_job(parent: nil, model_deployment_monitoring_job: nil)
# Pass arguments to `create_model_deployment_monitoring_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 parent of the ModelDeploymentMonitoringJob.
# Format: `projects/{project}/locations/{location}`
# @param model_deployment_monitoring_job [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob, ::Hash]
# Required. The ModelDeploymentMonitoringJob to create
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::CreateModelDeploymentMonitoringJobRequest.new
#
# # Call the create_model_deployment_monitoring_job method.
# result = client.create_model_deployment_monitoring_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob.
# p result
#
def create_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateModelDeploymentMonitoringJobRequest
# 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.create_model_deployment_monitoring_job.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.create_model_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.create_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :create_model_deployment_monitoring_job, 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
##
# Searches Model Monitoring Statistics generated within a given time window.
#
# @overload search_model_deployment_monitoring_stats_anomalies(request, options = nil)
# Pass arguments to `search_model_deployment_monitoring_stats_anomalies` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::SearchModelDeploymentMonitoringStatsAnomaliesRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::SearchModelDeploymentMonitoringStatsAnomaliesRequest, ::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 search_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job: nil, deployed_model_id: nil, feature_display_name: nil, objectives: nil, page_size: nil, page_token: nil, start_time: nil, end_time: nil)
# Pass arguments to `search_model_deployment_monitoring_stats_anomalies` 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_deployment_monitoring_job [::String]
# Required. ModelDeploymentMonitoring Job resource name.
# Format:
# `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
# @param deployed_model_id [::String]
# Required. The DeployedModel ID of the
# [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
# @param feature_display_name [::String]
# The feature display name. If specified, only return the stats belonging to
# this feature. Format:
# {::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies::FeatureHistoricStatsAnomalies#feature_display_name ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name},
# example: "user_destination".
# @param objectives [::Array<::Google::Cloud::AIPlatform::V1::SearchModelDeploymentMonitoringStatsAnomaliesRequest::StatsAnomaliesObjective, ::Hash>]
# Required. Objectives of the stats to retrieve.
# @param page_size [::Integer]
# The standard list page size.
# @param page_token [::String]
# A page token received from a previous
# {::Google::Cloud::AIPlatform::V1::JobService::Client#search_model_deployment_monitoring_stats_anomalies JobService.SearchModelDeploymentMonitoringStatsAnomalies}
# call.
# @param start_time [::Google::Protobuf::Timestamp, ::Hash]
# The earliest timestamp of stats being generated.
# If not set, indicates fetching stats till the earliest possible one.
# @param end_time [::Google::Protobuf::Timestamp, ::Hash]
# The latest timestamp of stats being generated.
# If not set, indicates feching stats till the latest possible one.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::SearchModelDeploymentMonitoringStatsAnomaliesRequest.new
#
# # Call the search_model_deployment_monitoring_stats_anomalies method.
# result = client.search_model_deployment_monitoring_stats_anomalies request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies.
# p response
# end
#
def search_model_deployment_monitoring_stats_anomalies request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::SearchModelDeploymentMonitoringStatsAnomaliesRequest
# 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.search_model_deployment_monitoring_stats_anomalies.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_deployment_monitoring_job
header_params["model_deployment_monitoring_job"] = request.model_deployment_monitoring_job
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.search_model_deployment_monitoring_stats_anomalies.timeout,
metadata: metadata,
retry_policy: @config.rpcs.search_model_deployment_monitoring_stats_anomalies.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :search_model_deployment_monitoring_stats_anomalies, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :search_model_deployment_monitoring_stats_anomalies, 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 ModelDeploymentMonitoringJob.
#
# @overload get_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `get_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GetModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GetModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(name: nil)
# Pass arguments to `get_model_deployment_monitoring_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 resource name of the ModelDeploymentMonitoringJob.
# Format:
# `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GetModelDeploymentMonitoringJobRequest.new
#
# # Call the get_model_deployment_monitoring_job method.
# result = client.get_model_deployment_monitoring_job request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob.
# p result
#
def get_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetModelDeploymentMonitoringJobRequest
# 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_deployment_monitoring_job.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_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.get_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :get_model_deployment_monitoring_job, 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 ModelDeploymentMonitoringJobs in a Location.
#
# @overload list_model_deployment_monitoring_jobs(request, options = nil)
# Pass arguments to `list_model_deployment_monitoring_jobs` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ListModelDeploymentMonitoringJobsRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ListModelDeploymentMonitoringJobsRequest, ::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_deployment_monitoring_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil)
# Pass arguments to `list_model_deployment_monitoring_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 parent of the ModelDeploymentMonitoringJob.
# Format: `projects/{project}/locations/{location}`
# @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.
# @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::ModelDeploymentMonitoringJob>]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob>]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ListModelDeploymentMonitoringJobsRequest.new
#
# # Call the list_model_deployment_monitoring_jobs method.
# result = client.list_model_deployment_monitoring_jobs request
#
# # The returned object is of type Gapic::PagedEnumerable. You can
# # iterate over all elements by calling #each, and the enumerable
# # will lazily make API calls to fetch subsequent pages. Other
# # methods are also available for managing paging directly.
# result.each do |response|
# # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob.
# p response
# end
#
def list_model_deployment_monitoring_jobs request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelDeploymentMonitoringJobsRequest
# 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_deployment_monitoring_jobs.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_deployment_monitoring_jobs.timeout,
metadata: metadata,
retry_policy: @config.rpcs.list_model_deployment_monitoring_jobs.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :list_model_deployment_monitoring_jobs, request, options: options do |response, operation|
response = ::Gapic::PagedEnumerable.new @job_service_stub, :list_model_deployment_monitoring_jobs, 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 ModelDeploymentMonitoringJob.
#
# @overload update_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `update_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(model_deployment_monitoring_job: nil, update_mask: nil)
# Pass arguments to `update_model_deployment_monitoring_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 model_deployment_monitoring_job [::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob, ::Hash]
# Required. The model monitoring configuration which replaces the resource on the
# server.
# @param update_mask [::Google::Protobuf::FieldMask, ::Hash]
# Required. The update mask is used to specify the fields to be overwritten in the
# ModelDeploymentMonitoringJob resource by the update.
# The fields specified in the update_mask are relative to the resource, not
# the full request. A field will be overwritten if it is in the mask. If the
# user does not provide a mask then only the non-empty fields present in the
# request will be overwritten. Set the update_mask to `*` to override all
# fields.
# For the objective config, the user can either provide the update mask for
# model_deployment_monitoring_objective_configs or any combination of its
# nested fields, such as:
# model_deployment_monitoring_objective_configs.objective_config.training_dataset.
#
# Updatable fields:
#
# * `display_name`
# * `model_deployment_monitoring_schedule_config`
# * `model_monitoring_alert_config`
# * `logging_sampling_strategy`
# * `labels`
# * `log_ttl`
# * `enable_monitoring_pipeline_logs`
# . and
# * `model_deployment_monitoring_objective_configs`
# . or
# * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
# * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
# * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest.new
#
# # Call the update_model_deployment_monitoring_job method.
# result = client.update_model_deployment_monitoring_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def update_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest
# 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_deployment_monitoring_job.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_deployment_monitoring_job&.name
header_params["model_deployment_monitoring_job.name"] = request.model_deployment_monitoring_job.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_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.update_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :update_model_deployment_monitoring_job, 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 ModelDeploymentMonitoringJob.
#
# @overload delete_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `delete_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DeleteModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DeleteModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(name: nil)
# Pass arguments to `delete_model_deployment_monitoring_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 resource name of the model monitoring job to delete.
# Format:
# `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DeleteModelDeploymentMonitoringJobRequest.new
#
# # Call the delete_model_deployment_monitoring_job method.
# result = client.delete_model_deployment_monitoring_job request
#
# # The returned object is of type Gapic::Operation. You can use this
# # object to check the status of an operation, cancel it, or wait
# # for results. Here is how to block until completion:
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "Error!"
# end
#
def delete_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteModelDeploymentMonitoringJobRequest
# 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_deployment_monitoring_job.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_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.delete_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :delete_model_deployment_monitoring_job, 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
##
# Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
# makes a best effort to cancel the job. Will mark
# {::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob#state ModelDeploymentMonitoringJob.state} to 'PAUSED'.
#
# @overload pause_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `pause_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::PauseModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::PauseModelDeploymentMonitoringJobRequest, ::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 pause_model_deployment_monitoring_job(name: nil)
# Pass arguments to `pause_model_deployment_monitoring_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 resource name of the ModelDeploymentMonitoringJob to pause.
# Format:
# `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::PauseModelDeploymentMonitoringJobRequest.new
#
# # Call the pause_model_deployment_monitoring_job method.
# result = client.pause_model_deployment_monitoring_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def pause_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::PauseModelDeploymentMonitoringJobRequest
# 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.pause_model_deployment_monitoring_job.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.pause_model_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.pause_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :pause_model_deployment_monitoring_job, 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
##
# Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
# next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
# resumed.
#
# @overload resume_model_deployment_monitoring_job(request, options = nil)
# Pass arguments to `resume_model_deployment_monitoring_job` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ResumeModelDeploymentMonitoringJobRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ResumeModelDeploymentMonitoringJobRequest, ::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 resume_model_deployment_monitoring_job(name: nil)
# Pass arguments to `resume_model_deployment_monitoring_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 resource name of the ModelDeploymentMonitoringJob to resume.
# Format:
# `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Protobuf::Empty]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Protobuf::Empty]
#
# @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::JobService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ResumeModelDeploymentMonitoringJobRequest.new
#
# # Call the resume_model_deployment_monitoring_job method.
# result = client.resume_model_deployment_monitoring_job request
#
# # The returned object is of type Google::Protobuf::Empty.
# p result
#
def resume_model_deployment_monitoring_job request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ResumeModelDeploymentMonitoringJobRequest
# 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.resume_model_deployment_monitoring_job.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.resume_model_deployment_monitoring_job.timeout,
metadata: metadata,
retry_policy: @config.rpcs.resume_model_deployment_monitoring_job.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@job_service_stub.call_rpc :resume_model_deployment_monitoring_job, 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
##
# Configuration class for the JobService API.
#
# This class represents the configuration for JobService,
# 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::JobService::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_custom_job to 20 seconds,
# # and all remaining timeouts to 10 seconds.
# ::Google::Cloud::AIPlatform::V1::JobService::Client.configure do |config|
# config.timeout = 10.0
# config.rpcs.create_custom_job.timeout = 20.0
# end
#
# # Apply the above configuration only to a new client.
# client = ::Google::Cloud::AIPlatform::V1::JobService::Client.new do |config|
# config.timeout = 10.0
# config.rpcs.create_custom_job.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<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]
#
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 JobService 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<String>`) - The error codes that should
# trigger a retry.
#
class Rpcs
##
# RPC-specific configuration for `create_custom_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_custom_job
##
# RPC-specific configuration for `get_custom_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_custom_job
##
# RPC-specific configuration for `list_custom_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_custom_jobs
##
# RPC-specific configuration for `delete_custom_job`
# @return [::Gapic::Config::Method]
#
attr_reader :delete_custom_job
##
# RPC-specific configuration for `cancel_custom_job`
# @return [::Gapic::Config::Method]
#
attr_reader :cancel_custom_job
##
# RPC-specific configuration for `create_data_labeling_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_data_labeling_job
##
# RPC-specific configuration for `get_data_labeling_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_data_labeling_job
##
# RPC-specific configuration for `list_data_labeling_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_data_labeling_jobs
##
# RPC-specific configuration for `delete_data_labeling_job`
# @return [::Gapic::Config::Method]
#
attr_reader :delete_data_labeling_job
##
# RPC-specific configuration for `cancel_data_labeling_job`
# @return [::Gapic::Config::Method]
#
attr_reader :cancel_data_labeling_job
##
# RPC-specific configuration for `create_hyperparameter_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_hyperparameter_tuning_job
##
# RPC-specific configuration for `get_hyperparameter_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_hyperparameter_tuning_job
##
# RPC-specific configuration for `list_hyperparameter_tuning_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_hyperparameter_tuning_jobs
##
# RPC-specific configuration for `delete_hyperparameter_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :delete_hyperparameter_tuning_job
##
# RPC-specific configuration for `cancel_hyperparameter_tuning_job`
# @return [::Gapic::Config::Method]
#
attr_reader :cancel_hyperparameter_tuning_job
##
# RPC-specific configuration for `create_batch_prediction_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_batch_prediction_job
##
# RPC-specific configuration for `get_batch_prediction_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_batch_prediction_job
##
# RPC-specific configuration for `list_batch_prediction_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_batch_prediction_jobs
##
# RPC-specific configuration for `delete_batch_prediction_job`
# @return [::Gapic::Config::Method]
#
attr_reader :delete_batch_prediction_job
##
# RPC-specific configuration for `cancel_batch_prediction_job`
# @return [::Gapic::Config::Method]
#
attr_reader :cancel_batch_prediction_job
##
# RPC-specific configuration for `create_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :create_model_deployment_monitoring_job
##
# RPC-specific configuration for `search_model_deployment_monitoring_stats_anomalies`
# @return [::Gapic::Config::Method]
#
attr_reader :search_model_deployment_monitoring_stats_anomalies
##
# RPC-specific configuration for `get_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :get_model_deployment_monitoring_job
##
# RPC-specific configuration for `list_model_deployment_monitoring_jobs`
# @return [::Gapic::Config::Method]
#
attr_reader :list_model_deployment_monitoring_jobs
##
# RPC-specific configuration for `update_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :update_model_deployment_monitoring_job
##
# RPC-specific configuration for `delete_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :delete_model_deployment_monitoring_job
##
# RPC-specific configuration for `pause_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :pause_model_deployment_monitoring_job
##
# RPC-specific configuration for `resume_model_deployment_monitoring_job`
# @return [::Gapic::Config::Method]
#
attr_reader :resume_model_deployment_monitoring_job
# @private
def initialize parent_rpcs = nil
create_custom_job_config = parent_rpcs.create_custom_job if parent_rpcs.respond_to? :create_custom_job
@create_custom_job = ::Gapic::Config::Method.new create_custom_job_config
get_custom_job_config = parent_rpcs.get_custom_job if parent_rpcs.respond_to? :get_custom_job
@get_custom_job = ::Gapic::Config::Method.new get_custom_job_config
list_custom_jobs_config = parent_rpcs.list_custom_jobs if parent_rpcs.respond_to? :list_custom_jobs
@list_custom_jobs = ::Gapic::Config::Method.new list_custom_jobs_config
delete_custom_job_config = parent_rpcs.delete_custom_job if parent_rpcs.respond_to? :delete_custom_job
@delete_custom_job = ::Gapic::Config::Method.new delete_custom_job_config
cancel_custom_job_config = parent_rpcs.cancel_custom_job if parent_rpcs.respond_to? :cancel_custom_job
@cancel_custom_job = ::Gapic::Config::Method.new cancel_custom_job_config
create_data_labeling_job_config = parent_rpcs.create_data_labeling_job if parent_rpcs.respond_to? :create_data_labeling_job
@create_data_labeling_job = ::Gapic::Config::Method.new create_data_labeling_job_config
get_data_labeling_job_config = parent_rpcs.get_data_labeling_job if parent_rpcs.respond_to? :get_data_labeling_job
@get_data_labeling_job = ::Gapic::Config::Method.new get_data_labeling_job_config
list_data_labeling_jobs_config = parent_rpcs.list_data_labeling_jobs if parent_rpcs.respond_to? :list_data_labeling_jobs
@list_data_labeling_jobs = ::Gapic::Config::Method.new list_data_labeling_jobs_config
delete_data_labeling_job_config = parent_rpcs.delete_data_labeling_job if parent_rpcs.respond_to? :delete_data_labeling_job
@delete_data_labeling_job = ::Gapic::Config::Method.new delete_data_labeling_job_config
cancel_data_labeling_job_config = parent_rpcs.cancel_data_labeling_job if parent_rpcs.respond_to? :cancel_data_labeling_job
@cancel_data_labeling_job = ::Gapic::Config::Method.new cancel_data_labeling_job_config
create_hyperparameter_tuning_job_config = parent_rpcs.create_hyperparameter_tuning_job if parent_rpcs.respond_to? :create_hyperparameter_tuning_job
@create_hyperparameter_tuning_job = ::Gapic::Config::Method.new create_hyperparameter_tuning_job_config
get_hyperparameter_tuning_job_config = parent_rpcs.get_hyperparameter_tuning_job if parent_rpcs.respond_to? :get_hyperparameter_tuning_job
@get_hyperparameter_tuning_job = ::Gapic::Config::Method.new get_hyperparameter_tuning_job_config
list_hyperparameter_tuning_jobs_config = parent_rpcs.list_hyperparameter_tuning_jobs if parent_rpcs.respond_to? :list_hyperparameter_tuning_jobs
@list_hyperparameter_tuning_jobs = ::Gapic::Config::Method.new list_hyperparameter_tuning_jobs_config
delete_hyperparameter_tuning_job_config = parent_rpcs.delete_hyperparameter_tuning_job if parent_rpcs.respond_to? :delete_hyperparameter_tuning_job
@delete_hyperparameter_tuning_job = ::Gapic::Config::Method.new delete_hyperparameter_tuning_job_config
cancel_hyperparameter_tuning_job_config = parent_rpcs.cancel_hyperparameter_tuning_job if parent_rpcs.respond_to? :cancel_hyperparameter_tuning_job
@cancel_hyperparameter_tuning_job = ::Gapic::Config::Method.new cancel_hyperparameter_tuning_job_config
create_batch_prediction_job_config = parent_rpcs.create_batch_prediction_job if parent_rpcs.respond_to? :create_batch_prediction_job
@create_batch_prediction_job = ::Gapic::Config::Method.new create_batch_prediction_job_config
get_batch_prediction_job_config = parent_rpcs.get_batch_prediction_job if parent_rpcs.respond_to? :get_batch_prediction_job
@get_batch_prediction_job = ::Gapic::Config::Method.new get_batch_prediction_job_config
list_batch_prediction_jobs_config = parent_rpcs.list_batch_prediction_jobs if parent_rpcs.respond_to? :list_batch_prediction_jobs
@list_batch_prediction_jobs = ::Gapic::Config::Method.new list_batch_prediction_jobs_config
delete_batch_prediction_job_config = parent_rpcs.delete_batch_prediction_job if parent_rpcs.respond_to? :delete_batch_prediction_job
@delete_batch_prediction_job = ::Gapic::Config::Method.new delete_batch_prediction_job_config
cancel_batch_prediction_job_config = parent_rpcs.cancel_batch_prediction_job if parent_rpcs.respond_to? :cancel_batch_prediction_job
@cancel_batch_prediction_job = ::Gapic::Config::Method.new cancel_batch_prediction_job_config
create_model_deployment_monitoring_job_config = parent_rpcs.create_model_deployment_monitoring_job if parent_rpcs.respond_to? :create_model_deployment_monitoring_job
@create_model_deployment_monitoring_job = ::Gapic::Config::Method.new create_model_deployment_monitoring_job_config
search_model_deployment_monitoring_stats_anomalies_config = parent_rpcs.search_model_deployment_monitoring_stats_anomalies if parent_rpcs.respond_to? :search_model_deployment_monitoring_stats_anomalies
@search_model_deployment_monitoring_stats_anomalies = ::Gapic::Config::Method.new search_model_deployment_monitoring_stats_anomalies_config
get_model_deployment_monitoring_job_config = parent_rpcs.get_model_deployment_monitoring_job if parent_rpcs.respond_to? :get_model_deployment_monitoring_job
@get_model_deployment_monitoring_job = ::Gapic::Config::Method.new get_model_deployment_monitoring_job_config
list_model_deployment_monitoring_jobs_config = parent_rpcs.list_model_deployment_monitoring_jobs if parent_rpcs.respond_to? :list_model_deployment_monitoring_jobs
@list_model_deployment_monitoring_jobs = ::Gapic::Config::Method.new list_model_deployment_monitoring_jobs_config
update_model_deployment_monitoring_job_config = parent_rpcs.update_model_deployment_monitoring_job if parent_rpcs.respond_to? :update_model_deployment_monitoring_job
@update_model_deployment_monitoring_job = ::Gapic::Config::Method.new update_model_deployment_monitoring_job_config
delete_model_deployment_monitoring_job_config = parent_rpcs.delete_model_deployment_monitoring_job if parent_rpcs.respond_to? :delete_model_deployment_monitoring_job
@delete_model_deployment_monitoring_job = ::Gapic::Config::Method.new delete_model_deployment_monitoring_job_config
pause_model_deployment_monitoring_job_config = parent_rpcs.pause_model_deployment_monitoring_job if parent_rpcs.respond_to? :pause_model_deployment_monitoring_job
@pause_model_deployment_monitoring_job = ::Gapic::Config::Method.new pause_model_deployment_monitoring_job_config
resume_model_deployment_monitoring_job_config = parent_rpcs.resume_model_deployment_monitoring_job if parent_rpcs.respond_to? :resume_model_deployment_monitoring_job
@resume_model_deployment_monitoring_job = ::Gapic::Config::Method.new resume_model_deployment_monitoring_job_config
yield self if block_given?
end
end
end
end
end
end
end
end
end