# frozen_string_literal: true
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Auto-generated by gapic-generator-ruby. DO NOT EDIT!
require "google/cloud/errors"
require "google/cloud/aiplatform/v1/prediction_service_pb"
require "google/cloud/ai_platform/v1/prediction_service/rest/service_stub"
require "google/cloud/location/rest"
require "google/iam/v1/rest"
module Google
module Cloud
module AIPlatform
module V1
module PredictionService
module Rest
##
# REST client for the PredictionService service.
#
# A service for online predictions and explanations.
#
class Client
# @private
API_VERSION = ""
# @private
DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.$UNIVERSE_DOMAIN$"
include Paths
# @private
attr_reader :prediction_service_stub
##
# Configure the PredictionService Client class.
#
# See {::Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client::Configuration}
# for a description of the configuration fields.
#
# @example
#
# # Modify the configuration for all PredictionService clients
# ::Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.configure do |config|
# config.timeout = 10.0
# end
#
# @yield [config] Configure the Client client.
# @yieldparam config [Client::Configuration]
#
# @return [Client::Configuration]
#
def self.configure
@configure ||= begin
namespace = ["Google", "Cloud", "AIPlatform", "V1"]
parent_config = while namespace.any?
parent_name = namespace.join "::"
parent_const = const_get parent_name
break parent_const.configure if parent_const.respond_to? :configure
namespace.pop
end
default_config = Client::Configuration.new parent_config
default_config
end
yield @configure if block_given?
@configure
end
##
# Configure the 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::Rest::Client::Configuration}
# for a description of the configuration fields.
#
# @yield [config] Configure the Client client.
# @yieldparam config [Client::Configuration]
#
# @return [Client::Configuration]
#
def configure
yield @config if block_given?
@config
end
##
# The effective universe domain
#
# @return [String]
#
def universe_domain
@prediction_service_stub.universe_domain
end
##
# Create a new PredictionService REST client object.
#
# @example
#
# # Create a client using the default configuration
# client = ::Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a client using a custom configuration
# client = ::Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new do |config|
# config.timeout = 10.0
# end
#
# @yield [config] Configure the PredictionService client.
# @yieldparam config [Client::Configuration]
#
def initialize
# Create the configuration object
@config = Configuration.new Client.configure
# Yield the configuration if needed
yield @config if block_given?
# Create credentials
credentials = @config.credentials
# Use self-signed JWT if the endpoint is unchanged from default,
# but only if the default endpoint does not have a region prefix.
enable_self_signed_jwt = @config.endpoint.nil? ||
(@config.endpoint == Configuration::DEFAULT_ENDPOINT &&
!@config.endpoint.split(".").first.include?("-"))
credentials ||= Credentials.default scope: @config.scope,
enable_self_signed_jwt: enable_self_signed_jwt
if credentials.is_a?(::String) || credentials.is_a?(::Hash)
credentials = Credentials.new credentials, scope: @config.scope
end
@quota_project_id = @config.quota_project
@quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id
@prediction_service_stub = ::Google::Cloud::AIPlatform::V1::PredictionService::Rest::ServiceStub.new(
endpoint: @config.endpoint,
endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
universe_domain: @config.universe_domain,
credentials: credentials
)
@location_client = Google::Cloud::Location::Locations::Rest::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @prediction_service_stub.endpoint
config.universe_domain = @prediction_service_stub.universe_domain
config.bindings_override = @config.bindings_override
end
@iam_policy_client = Google::Iam::V1::IAMPolicy::Rest::Client.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @prediction_service_stub.endpoint
config.universe_domain = @prediction_service_stub.universe_domain
config.bindings_override = @config.bindings_override
end
end
##
# Get the associated client for mix-in of the Locations.
#
# @return [Google::Cloud::Location::Locations::Rest::Client]
#
attr_reader :location_client
##
# Get the associated client for mix-in of the IAMPolicy.
#
# @return [Google::Iam::V1::IAMPolicy::Rest::Client]
#
attr_reader :iam_policy_client
# Service calls
##
# 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 [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::PredictResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::PredictResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::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
call_metadata = @config.rpcs.predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.predict.timeout,
metadata: call_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.predict request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# 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::Rest::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 [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Api::HttpBody]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Api::HttpBody]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::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
call_metadata = @config.rpcs.raw_predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.raw_predict.timeout,
metadata: call_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.raw_predict request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Perform a streaming online prediction with an arbitrary HTTP payload.
#
# @overload stream_raw_predict(request, options = nil)
# Pass arguments to `stream_raw_predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::StreamRawPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::StreamRawPredictRequest, ::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 stream_raw_predict(endpoint: nil, http_body: nil)
# Pass arguments to `stream_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.
# @return [::Enumerable<::Google::Api::HttpBody>]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::StreamRawPredictRequest.new
#
# # Call the stream_raw_predict method to start streaming.
# output = client.stream_raw_predict request
#
# # The returned object is a streamed enumerable yielding elements of type
# # ::Google::Api::HttpBody
# output.each do |current_response|
# p current_response
# end
#
def stream_raw_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::StreamRawPredictRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.stream_raw_predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.stream_raw_predict.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.stream_raw_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
::Gapic::Rest::ServerStream.new(
::Google::Api::HttpBody,
::Gapic::Rest::ThreadedEnumerator.new do |in_q, out_q|
@prediction_service_stub.stream_raw_predict request, options do |chunk|
in_q.deq
out_q.enq chunk
end
end
)
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Perform an unary online prediction request to a gRPC model server for
# Vertex first-party products and frameworks.
#
# @overload direct_predict(request, options = nil)
# Pass arguments to `direct_predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DirectPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DirectPredictRequest, ::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 direct_predict(endpoint: nil, inputs: nil, parameters: nil)
# Pass arguments to `direct_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 inputs [::Array<::Google::Cloud::AIPlatform::V1::Tensor, ::Hash>]
# The prediction input.
# @param parameters [::Google::Cloud::AIPlatform::V1::Tensor, ::Hash]
# The parameters that govern the prediction.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::DirectPredictResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::DirectPredictResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DirectPredictRequest.new
#
# # Call the direct_predict method.
# result = client.direct_predict request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::DirectPredictResponse.
# p result
#
def direct_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DirectPredictRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.direct_predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.direct_predict.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.direct_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.direct_predict request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Perform an unary online prediction request to a gRPC model server for
# custom containers.
#
# @overload direct_raw_predict(request, options = nil)
# Pass arguments to `direct_raw_predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::DirectRawPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::DirectRawPredictRequest, ::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 direct_raw_predict(endpoint: nil, method_name: nil, input: nil)
# Pass arguments to `direct_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 method_name [::String]
# Fully qualified name of the API method being invoked to perform
# predictions.
#
# Format:
# `/namespace.Service/Method/`
# Example:
# `/tensorflow.serving.PredictionService/Predict`
# @param input [::String]
# The prediction input.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::DirectRawPredictResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::DirectRawPredictResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::DirectRawPredictRequest.new
#
# # Call the direct_raw_predict method.
# result = client.direct_raw_predict request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::DirectRawPredictResponse.
# p result
#
def direct_raw_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DirectRawPredictRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.direct_raw_predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.direct_raw_predict.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.direct_raw_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.direct_raw_predict request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Perform a server-side streaming online prediction request for Vertex
# LLM streaming.
#
# @overload server_streaming_predict(request, options = nil)
# Pass arguments to `server_streaming_predict` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::StreamingPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::StreamingPredictRequest, ::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 server_streaming_predict(endpoint: nil, inputs: nil, parameters: nil)
# Pass arguments to `server_streaming_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 inputs [::Array<::Google::Cloud::AIPlatform::V1::Tensor, ::Hash>]
# The prediction input.
# @param parameters [::Google::Cloud::AIPlatform::V1::Tensor, ::Hash]
# The parameters that govern the prediction.
# @return [::Enumerable<::Google::Cloud::AIPlatform::V1::StreamingPredictResponse>]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::StreamingPredictRequest.new
#
# # Call the server_streaming_predict method to start streaming.
# output = client.server_streaming_predict request
#
# # The returned object is a streamed enumerable yielding elements of type
# # ::Google::Cloud::AIPlatform::V1::StreamingPredictResponse
# output.each do |current_response|
# p current_response
# end
#
def server_streaming_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::StreamingPredictRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.server_streaming_predict.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.server_streaming_predict.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.server_streaming_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
::Gapic::Rest::ServerStream.new(
::Google::Cloud::AIPlatform::V1::StreamingPredictResponse,
::Gapic::Rest::ThreadedEnumerator.new do |in_q, out_q|
@prediction_service_stub.server_streaming_predict request, options do |chunk|
in_q.deq
out_q.enq chunk
end
end
)
rescue ::Gapic::Rest::Error => 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.
#
# @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 [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::ExplainResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::ExplainResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::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
call_metadata = @config.rpcs.explain.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.explain.timeout,
metadata: call_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.explain request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Generate content with multimodal inputs.
#
# @overload generate_content(request, options = nil)
# Pass arguments to `generate_content` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GenerateContentRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GenerateContentRequest, ::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 generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
# Pass arguments to `generate_content` 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 [::String]
# Required. The name of the publisher model requested to serve the
# prediction. Format:
# `projects/{project}/locations/{location}/publishers/*/models/*`
# @param contents [::Array<::Google::Cloud::AIPlatform::V1::Content, ::Hash>]
# Required. The content of the current conversation with the model.
#
# For single-turn queries, this is a single instance. For multi-turn queries,
# this is a repeated field that contains conversation history + latest
# request.
# @param system_instruction [::Google::Cloud::AIPlatform::V1::Content, ::Hash]
# Optional. The user provided system instructions for the model.
# Note: only text should be used in parts and content in each part will be in
# a separate paragraph.
# @param tools [::Array<::Google::Cloud::AIPlatform::V1::Tool, ::Hash>]
# Optional. A list of `Tools` the model may use to generate the next
# response.
#
# A `Tool` is a piece of code that enables the system to interact with
# external systems to perform an action, or set of actions, outside of
# knowledge and scope of the model.
# @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
# Optional. Tool config. This config is shared for all tools provided in the
# request.
# @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
# Optional. Per request settings for blocking unsafe content.
# Enforced on GenerateContentResponse.candidates.
# @param generation_config [::Google::Cloud::AIPlatform::V1::GenerationConfig, ::Hash]
# Optional. Generation config.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AIPlatform::V1::GenerateContentResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AIPlatform::V1::GenerateContentResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GenerateContentRequest.new
#
# # Call the generate_content method.
# result = client.generate_content request
#
# # The returned object is of type Google::Cloud::AIPlatform::V1::GenerateContentResponse.
# p result
#
def generate_content request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GenerateContentRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.generate_content.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.generate_content.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.generate_content.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.generate_content request, options do |result, operation|
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Generate content with multimodal inputs with streaming support.
#
# @overload stream_generate_content(request, options = nil)
# Pass arguments to `stream_generate_content` via a request object, either of type
# {::Google::Cloud::AIPlatform::V1::GenerateContentRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AIPlatform::V1::GenerateContentRequest, ::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 stream_generate_content(model: nil, contents: nil, system_instruction: nil, tools: nil, tool_config: nil, safety_settings: nil, generation_config: nil)
# Pass arguments to `stream_generate_content` 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 [::String]
# Required. The name of the publisher model requested to serve the
# prediction. Format:
# `projects/{project}/locations/{location}/publishers/*/models/*`
# @param contents [::Array<::Google::Cloud::AIPlatform::V1::Content, ::Hash>]
# Required. The content of the current conversation with the model.
#
# For single-turn queries, this is a single instance. For multi-turn queries,
# this is a repeated field that contains conversation history + latest
# request.
# @param system_instruction [::Google::Cloud::AIPlatform::V1::Content, ::Hash]
# Optional. The user provided system instructions for the model.
# Note: only text should be used in parts and content in each part will be in
# a separate paragraph.
# @param tools [::Array<::Google::Cloud::AIPlatform::V1::Tool, ::Hash>]
# Optional. A list of `Tools` the model may use to generate the next
# response.
#
# A `Tool` is a piece of code that enables the system to interact with
# external systems to perform an action, or set of actions, outside of
# knowledge and scope of the model.
# @param tool_config [::Google::Cloud::AIPlatform::V1::ToolConfig, ::Hash]
# Optional. Tool config. This config is shared for all tools provided in the
# request.
# @param safety_settings [::Array<::Google::Cloud::AIPlatform::V1::SafetySetting, ::Hash>]
# Optional. Per request settings for blocking unsafe content.
# Enforced on GenerateContentResponse.candidates.
# @param generation_config [::Google::Cloud::AIPlatform::V1::GenerationConfig, ::Hash]
# Optional. Generation config.
# @return [::Enumerable<::Google::Cloud::AIPlatform::V1::GenerateContentResponse>]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/ai_platform/v1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AIPlatform::V1::GenerateContentRequest.new
#
# # Call the stream_generate_content method to start streaming.
# output = client.stream_generate_content request
#
# # The returned object is a streamed enumerable yielding elements of type
# # ::Google::Cloud::AIPlatform::V1::GenerateContentResponse
# output.each do |current_response|
# p current_response
# end
#
def stream_generate_content request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GenerateContentRequest
# Converts hash and nil to an options object
options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h
# Customize the options with defaults
call_metadata = @config.rpcs.stream_generate_content.metadata.to_h
# Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
lib_name: @config.lib_name, lib_version: @config.lib_version,
gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.stream_generate_content.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.stream_generate_content.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
::Gapic::Rest::ServerStream.new(
::Google::Cloud::AIPlatform::V1::GenerateContentResponse,
::Gapic::Rest::ThreadedEnumerator.new do |in_q, out_q|
@prediction_service_stub.stream_generate_content request, options do |chunk|
in_q.deq
out_q.enq chunk
end
end
)
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Configuration class for the PredictionService REST API.
#
# This class represents the configuration for PredictionService REST,
# providing control over timeouts, retry behavior, logging, transport
# parameters, and other low-level controls. Certain parameters can also be
# applied individually to specific RPCs. See
# {::Google::Cloud::AIPlatform::V1::PredictionService::Rest::Client::Configuration::Rpcs}
# for a list of RPCs that can be configured independently.
#
# Configuration can be applied globally to all clients, or to a single client
# on construction.
#
# @example
#
# # Modify the global config, setting the timeout for
# # predict to 20 seconds,
# # and all remaining timeouts to 10 seconds.
# ::Google::Cloud::AIPlatform::V1::PredictionService::Rest::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::Rest::Client.new do |config|
# config.timeout = 10.0
# config.rpcs.predict.timeout = 20.0
# end
#
# @!attribute [rw] endpoint
# A custom service endpoint, as a hostname or hostname:port. The default is
# nil, indicating to use the default endpoint in the current universe domain.
# @return [::String,nil]
# @!attribute [rw] credentials
# Credentials to send with calls. You may provide any of the following types:
# * (`String`) The path to a service account key file in JSON format
# * (`Hash`) A service account key as a Hash
# * (`Google::Auth::Credentials`) A googleauth credentials object
# (see the [googleauth docs](https://rubydoc.info/gems/googleauth/Google/Auth/Credentials))
# * (`Signet::OAuth2::Client`) A signet oauth2 client object
# (see the [signet docs](https://rubydoc.info/gems/signet/Signet/OAuth2/Client))
# * (`nil`) indicating no credentials
# @return [::Object]
# @!attribute [rw] scope
# The OAuth scopes
# @return [::Array<::String>]
# @!attribute [rw] lib_name
# The library name as recorded in instrumentation and logging
# @return [::String]
# @!attribute [rw] lib_version
# The library version as recorded in instrumentation and logging
# @return [::String]
# @!attribute [rw] timeout
# The call timeout in seconds.
# @return [::Numeric]
# @!attribute [rw] metadata
# Additional headers to be sent with the call.
# @return [::Hash{::Symbol=>::String}]
# @!attribute [rw] retry_policy
# The retry policy. The value is a hash with the following keys:
# * `:initial_delay` (*type:* `Numeric`) - The initial delay in seconds.
# * `:max_delay` (*type:* `Numeric`) - The max delay in seconds.
# * `:multiplier` (*type:* `Numeric`) - The incremental backoff multiplier.
# * `:retry_codes` (*type:* `Array<String>`) - The error codes that should
# trigger a retry.
# @return [::Hash]
# @!attribute [rw] quota_project
# A separate project against which to charge quota.
# @return [::String]
# @!attribute [rw] universe_domain
# The universe domain within which to make requests. This determines the
# default endpoint URL. The default value of nil uses the environment
# universe (usually the default "googleapis.com" universe).
# @return [::String,nil]
#
class Configuration
extend ::Gapic::Config
# @private
# The endpoint specific to the default "googleapis.com" universe. Deprecated.
DEFAULT_ENDPOINT = "aiplatform.googleapis.com"
config_attr :endpoint, nil, ::String, nil
config_attr :credentials, nil do |value|
allowed = [::String, ::Hash, ::Proc, ::Symbol, ::Google::Auth::Credentials, ::Signet::OAuth2::Client, nil]
allowed.any? { |klass| klass === value }
end
config_attr :scope, nil, ::String, ::Array, nil
config_attr :lib_name, nil, ::String, nil
config_attr :lib_version, nil, ::String, nil
config_attr :timeout, nil, ::Numeric, nil
config_attr :metadata, nil, ::Hash, nil
config_attr :retry_policy, nil, ::Hash, ::Proc, nil
config_attr :quota_project, nil, ::String, nil
config_attr :universe_domain, nil, ::String, nil
# @private
# Overrides for http bindings for the RPCs of this service
# are only used when this service is used as mixin, and only
# by the host service.
# @return [::Hash{::Symbol=>::Array<::Gapic::Rest::GrpcTranscoder::HttpBinding>}]
config_attr :bindings_override, {}, ::Hash, nil
# @private
def initialize parent_config = nil
@parent_config = parent_config unless parent_config.nil?
yield self if block_given?
end
##
# Configurations for individual RPCs
# @return [Rpcs]
#
def rpcs
@rpcs ||= begin
parent_rpcs = nil
parent_rpcs = @parent_config.rpcs if defined?(@parent_config) && @parent_config.respond_to?(:rpcs)
Rpcs.new parent_rpcs
end
end
##
# Configuration RPC class for the 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 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 `stream_raw_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :stream_raw_predict
##
# RPC-specific configuration for `direct_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :direct_predict
##
# RPC-specific configuration for `direct_raw_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :direct_raw_predict
##
# RPC-specific configuration for `server_streaming_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :server_streaming_predict
##
# RPC-specific configuration for `explain`
# @return [::Gapic::Config::Method]
#
attr_reader :explain
##
# RPC-specific configuration for `generate_content`
# @return [::Gapic::Config::Method]
#
attr_reader :generate_content
##
# RPC-specific configuration for `stream_generate_content`
# @return [::Gapic::Config::Method]
#
attr_reader :stream_generate_content
# @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
stream_raw_predict_config = parent_rpcs.stream_raw_predict if parent_rpcs.respond_to? :stream_raw_predict
@stream_raw_predict = ::Gapic::Config::Method.new stream_raw_predict_config
direct_predict_config = parent_rpcs.direct_predict if parent_rpcs.respond_to? :direct_predict
@direct_predict = ::Gapic::Config::Method.new direct_predict_config
direct_raw_predict_config = parent_rpcs.direct_raw_predict if parent_rpcs.respond_to? :direct_raw_predict
@direct_raw_predict = ::Gapic::Config::Method.new direct_raw_predict_config
server_streaming_predict_config = parent_rpcs.server_streaming_predict if parent_rpcs.respond_to? :server_streaming_predict
@server_streaming_predict = ::Gapic::Config::Method.new server_streaming_predict_config
explain_config = parent_rpcs.explain if parent_rpcs.respond_to? :explain
@explain = ::Gapic::Config::Method.new explain_config
generate_content_config = parent_rpcs.generate_content if parent_rpcs.respond_to? :generate_content
@generate_content = ::Gapic::Config::Method.new generate_content_config
stream_generate_content_config = parent_rpcs.stream_generate_content if parent_rpcs.respond_to? :stream_generate_content
@stream_generate_content = ::Gapic::Config::Method.new stream_generate_content_config
yield self if block_given?
end
end
end
end
end
end
end
end
end
end