# 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/prediction_service_pb"
require "google/cloud/location"
require "google/iam/v1"
module Google
module Cloud
module AIPlatform
module V1
module PredictionService
##
# Client for the PredictionService service.
#
# A service for online predictions and explanations.
#
class Client
include Paths
# @private
attr_reader :prediction_service_stub
##
# Configure the PredictionService Client class.
#
# See {::Google::Cloud::AIPlatform::V1::PredictionService::Client::Configuration}
# for a description of the configuration fields.
#
# @example
#
# # Modify the configuration for all PredictionService clients
# ::Google::Cloud::AIPlatform::V1::PredictionService::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 PredictionService 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::PredictionService::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 PredictionService client object.
#
# @example
#
# # Create a client using the default configuration
# client = ::Google::Cloud::AIPlatform::V1::PredictionService::Client.new
#
# # Create a client using a custom configuration
# client = ::Google::Cloud::AIPlatform::V1::PredictionService::Client.new do |config|
# config.timeout = 10.0
# end
#
# @yield [config] Configure the PredictionService 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/prediction_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
@location_client = Google::Cloud::Location::Locations::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @config.endpoint
end
@iam_policy_client = Google::Iam::V1::IAMPolicy::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @config.endpoint
end
@prediction_service_stub = ::Gapic::ServiceStub.new(
::Google::Cloud::AIPlatform::V1::PredictionService::Stub,
credentials: credentials,
endpoint: @config.endpoint,
channel_args: @config.channel_args,
interceptors: @config.interceptors
)
end
##
# Get the associated client for mix-in of the Locations.
#
# @return [Google::Cloud::Location::Locations::Client]
#
attr_reader :location_client
##
# Get the associated client for mix-in of the IAMPolicy.
#
# @return [Google::Iam::V1::IAMPolicy::Client]
#
attr_reader :iam_policy_client
# Service calls
##
# Perform an online prediction.
#
# @overload predict(request, options = nil)
# Pass arguments to `predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::PredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::PredictRequest, ::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 predict(endpoint: nil, instances: nil, parameters: nil)
# Pass arguments to `predict` 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 endpoint [::String]
# Required. The name of the Endpoint requested to serve the prediction.
# Format:
# `projects/{project}/locations/{location}/endpoints/{endpoint}`
# @param instances [::Array<::Google::Protobuf::Value, ::Hash>]
# Required. The instances that are the input to the prediction call.
# A DeployedModel may have an upper limit on the number of instances it
# supports per request, and when it is exceeded the prediction call errors
# in case of AutoML Models, or, in case of customer created Models, the
# behaviour is as documented by that Model.
# The schema of any single instance may be specified via Endpoint's
# DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
# [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
# {::Google::Cloud::AIPlatform::V1::PredictSchemata#instance_schema_uri instance_schema_uri}.
# @param parameters [::Google::Protobuf::Value, ::Hash]
# The parameters that govern the prediction. The schema of the parameters may
# be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
# [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
# {::Google::Cloud::AIPlatform::V1::PredictSchemata#parameters_schema_uri parameters_schema_uri}.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::PredictResponse]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::PredictResponse]
#
# @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::PredictionService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::PredictRequest.new
#
# # Call the predict method.
# result = client.predict request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::PredictResponse.
# p result
#
def predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::PredictRequest
# 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.predict.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.endpoint
header_params["endpoint"] = request.endpoint
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.predict.timeout,
metadata: metadata,
retry_policy: @config.rpcs.predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.call_rpc :predict, 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
##
# Perform an online prediction with an arbitrary HTTP payload.
#
# The response includes the following HTTP headers:
#
# * `X-Vertex-AI-Endpoint-Id`: ID of the {::Google::Cloud::AIPlatform::V1::Endpoint Endpoint} that served this
# prediction.
#
# * `X-Vertex-AI-Deployed-Model-Id`: ID of the Endpoint's {::Google::Cloud::AIPlatform::V1::DeployedModel DeployedModel}
# that served this prediction.
#
# @overload raw_predict(request, options = nil)
# Pass arguments to `raw_predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::RawPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::RawPredictRequest, ::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 raw_predict(endpoint: nil, http_body: nil)
# Pass arguments to `raw_predict` 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 endpoint [::String]
# Required. The name of the Endpoint requested to serve the prediction.
# Format:
# `projects/{project}/locations/{location}/endpoints/{endpoint}`
# @param http_body [::Google::Api::HttpBody, ::Hash]
# The prediction input. Supports HTTP headers and arbitrary data payload.
#
# A {::Google::Cloud::AIPlatform::V1::DeployedModel DeployedModel} may have an upper limit on the number of instances it
# supports per request. When this limit it is exceeded for an AutoML model,
# the {::Google::Cloud::AIPlatform::V1::PredictionService::Client#raw_predict RawPredict} method returns an error.
# When this limit is exceeded for a custom-trained model, the behavior varies
# depending on the model.
#
# You can specify the schema for each instance in the
# {::Google::Cloud::AIPlatform::V1::PredictSchemata#instance_schema_uri predict_schemata.instance_schema_uri}
# field when you create a {::Google::Cloud::AIPlatform::V1::Model Model}. This schema applies when you deploy the
# `Model` as a `DeployedModel` to an {::Google::Cloud::AIPlatform::V1::Endpoint Endpoint} and use the `RawPredict`
# method.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Api::HttpBody]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Api::HttpBody]
#
# @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::PredictionService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::RawPredictRequest.new
#
# # Call the raw_predict method.
# result = client.raw_predict request
#
# # The returned object is of type Google::Api::HttpBody.
# p result
#
def raw_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::RawPredictRequest
# 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.raw_predict.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.endpoint
header_params["endpoint"] = request.endpoint
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.raw_predict.timeout,
metadata: metadata,
retry_policy: @config.rpcs.raw_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.call_rpc :raw_predict, 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
##
# Perform an online explanation.
#
# If {::Google::Cloud::AIPlatform::V1::ExplainRequest#deployed_model_id deployed_model_id} is specified,
# the corresponding DeployModel must have
# {::Google::Cloud::AIPlatform::V1::DeployedModel#explanation_spec explanation_spec}
# populated. If {::Google::Cloud::AIPlatform::V1::ExplainRequest#deployed_model_id deployed_model_id}
# is not specified, all DeployedModels must have
# {::Google::Cloud::AIPlatform::V1::DeployedModel#explanation_spec explanation_spec}
# populated. Only deployed AutoML tabular Models have
# explanation_spec.
#
# @overload explain(request, options = nil)
# Pass arguments to `explain` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::ExplainRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::ExplainRequest, ::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 explain(endpoint: nil, instances: nil, parameters: nil, explanation_spec_override: nil, deployed_model_id: nil)
# Pass arguments to `explain` 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 endpoint [::String]
# Required. The name of the Endpoint requested to serve the explanation.
# Format:
# `projects/{project}/locations/{location}/endpoints/{endpoint}`
# @param instances [::Array<::Google::Protobuf::Value, ::Hash>]
# Required. The instances that are the input to the explanation call.
# A DeployedModel may have an upper limit on the number of instances it
# supports per request, and when it is exceeded the explanation call errors
# in case of AutoML Models, or, in case of customer created Models, the
# behaviour is as documented by that Model.
# The schema of any single instance may be specified via Endpoint's
# DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
# [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
# {::Google::Cloud::AIPlatform::V1::PredictSchemata#instance_schema_uri instance_schema_uri}.
# @param parameters [::Google::Protobuf::Value, ::Hash]
# The parameters that govern the prediction. The schema of the parameters may
# be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
# [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
# {::Google::Cloud::AIPlatform::V1::PredictSchemata#parameters_schema_uri parameters_schema_uri}.
# @param explanation_spec_override [::Google::Cloud::AIPlatform::V1::ExplanationSpecOverride, ::Hash]
# If specified, overrides the
# {::Google::Cloud::AIPlatform::V1::DeployedModel#explanation_spec explanation_spec} of the DeployedModel.
# Can be used for explaining prediction results with different
# configurations, such as:
# - Explaining top-5 predictions results as opposed to top-1;
# - Increasing path count or step count of the attribution methods to reduce
# approximate errors;
# - Using different baselines for explaining the prediction results.
# @param deployed_model_id [::String]
# If specified, this ExplainRequest will be served by the chosen
# DeployedModel, overriding {::Google::Cloud::AIPlatform::V1::Endpoint#traffic_split Endpoint.traffic_split}.
#
# @yield [response, operation] Access the result along with the RPC operation
# @yieldparam response [::Google::Cloud::AIPlatform::V1::ExplainResponse]
# @yieldparam operation [::GRPC::ActiveCall::Operation]
#
# @return [::Google::Cloud::AIPlatform::V1::ExplainResponse]
#
# @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::PredictionService::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::ExplainRequest.new
#
# # Call the explain method.
# result = client.explain request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::ExplainResponse.
# p result
#
def explain request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ExplainRequest
# 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.explain.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.endpoint
header_params["endpoint"] = request.endpoint
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.explain.timeout,
metadata: metadata,
retry_policy: @config.rpcs.explain.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.call_rpc :explain, 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 PredictionService API.
#
# This class represents the configuration for PredictionService,
# 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::PredictionService::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
# # predict to 20 seconds,
# # and all remaining timeouts to 10 seconds.
# ::Google::Cloud::AIPlatform::V1::PredictionService::Client.configure do |config|
# config.timeout = 10.0
# config.rpcs.predict.timeout = 20.0
# end
#
# # Apply the above configuration only to a new client.
# client = ::Google::Cloud::AIPlatform::V1::PredictionService::Client.new do |config|
# config.timeout = 10.0
# config.rpcs.predict.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 PredictionService 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 `predict`
# @return [::Gapic::Config::Method]
#
attr_reader :predict
##
# RPC-specific configuration for `raw_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :raw_predict
##
# RPC-specific configuration for `explain`
# @return [::Gapic::Config::Method]
#
attr_reader :explain
# @private
def initialize parent_rpcs = nil
predict_config = parent_rpcs.predict if parent_rpcs.respond_to? :predict
@predict = ::Gapic::Config::Method.new predict_config
raw_predict_config = parent_rpcs.raw_predict if parent_rpcs.respond_to? :raw_predict
@raw_predict = ::Gapic::Config::Method.new raw_predict_config
explain_config = parent_rpcs.explain if parent_rpcs.respond_to? :explain
@explain = ::Gapic::Config::Method.new explain_config
yield self if block_given?
end
end
end
end
end
end
end
end
end