# frozen_string_literal: true
# Copyright 2023 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/automl/v1beta1/prediction_service_pb"
require "google/cloud/automl/v1beta1/prediction_service/rest/service_stub"
module Google
module Cloud
module AutoML
module V1beta1
module PredictionService
module Rest
##
# REST client for the PredictionService service.
#
# AutoML Prediction API.
#
# On any input that is documented to expect a string parameter in
# snake_case or kebab-case, either of those cases is accepted.
#
class Client
include Paths
# @private
attr_reader :prediction_service_stub
##
# Configure the PredictionService Client class.
#
# See {::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Client::Configuration}
# for a description of the configuration fields.
#
# @example
#
# # Modify the configuration for all PredictionService clients
# ::Google::Cloud::AutoML::V1beta1::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", "AutoML", "V1beta1"]
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.rpcs.predict.timeout = 60.0
default_config.rpcs.batch_predict.timeout = 60.0
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::AutoML::V1beta1::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
##
# Create a new PredictionService REST client object.
#
# @example
#
# # Create a client using the default configuration
# client = ::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Client.new
#
# # Create a client using a custom configuration
# client = ::Google::Cloud::AutoML::V1beta1::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 == Configuration::DEFAULT_ENDPOINT &&
!@config.endpoint.split(".").first.include?("-")
credentials ||= Credentials.default scope: @config.scope,
enable_self_signed_jwt: enable_self_signed_jwt
if credentials.is_a?(::String) || credentials.is_a?(::Hash)
credentials = Credentials.new credentials, scope: @config.scope
end
@quota_project_id = @config.quota_project
@quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id
@operations_client = ::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Operations.new do |config|
config.credentials = credentials
config.quota_project = @quota_project_id
config.endpoint = @config.endpoint
end
@prediction_service_stub = ::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::ServiceStub.new endpoint: @config.endpoint, credentials: credentials
end
##
# Get the associated client for long-running operations.
#
# @return [::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Operations]
#
attr_reader :operations_client
# Service calls
##
# Perform an online prediction. The prediction result will be directly
# returned in the response.
# Available for following ML problems, and their expected request payloads:
# * Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes
# up to 30MB.
# * Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes
# up to 30MB.
# * Text Classification - TextSnippet, content up to 60,000 characters,
# UTF-8 encoded.
# * Text Extraction - TextSnippet, content up to 30,000 characters,
# UTF-8 NFC encoded.
# * Translation - TextSnippet, content up to 25,000 characters, UTF-8
# encoded.
# * Tables - Row, with column values matching the columns of the model,
# up to 5MB. Not available for FORECASTING
#
# [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].
# * Text Sentiment - TextSnippet, content up 500 characters, UTF-8
# encoded.
#
# @overload predict(request, options = nil)
# Pass arguments to `predict` via a request object, either of type
# {::Google::Cloud::AutoML::V1beta1::PredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AutoML::V1beta1::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(name: nil, payload: nil, params: 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 name [::String]
# Required. Name of the model requested to serve the prediction.
# @param payload [::Google::Cloud::AutoML::V1beta1::ExamplePayload, ::Hash]
# Required. Payload to perform a prediction on. The payload must match the
# problem type that the model was trained to solve.
# @param params [::Hash{::String => ::String}]
# Additional domain-specific parameters, any string must be up to 25000
# characters long.
#
# * For Image Classification:
#
# `score_threshold` - (float) A value from 0.0 to 1.0. When the model
# makes predictions for an image, it will only produce results that have
# at least this confidence score. The default is 0.5.
#
# * For Image Object Detection:
# `score_threshold` - (float) When Model detects objects on the image,
# it will only produce bounding boxes which have at least this
# confidence score. Value in 0 to 1 range, default is 0.5.
# `max_bounding_box_count` - (int64) No more than this number of bounding
# boxes will be returned in the response. Default is 100, the
# requested value may be limited by server.
# * For Tables:
# feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
# should be populated in the returned TablesAnnotation.
# The default is false.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Google::Cloud::AutoML::V1beta1::PredictResponse]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Google::Cloud::AutoML::V1beta1::PredictResponse]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/automl/v1beta1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AutoML::V1beta1::PredictRequest.new
#
# # Call the predict method.
# result = client.predict request
#
# # The returned object is of type Google::Cloud::AutoML::V1beta1::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::AutoML::V1beta1::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 and x-goog-user-project 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::AutoML::V1beta1::VERSION,
transports_version_send: [:rest]
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 a batch prediction. Unlike the online {::Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Client#predict Predict}, batch
# prediction result won't be immediately available in the response. Instead,
# a long running operation object is returned. User can poll the operation
# result via GetOperation
# method. Once the operation is done, {::Google::Cloud::AutoML::V1beta1::BatchPredictResult BatchPredictResult} is returned in
# the {::Google::Longrunning::Operation#response response} field.
# Available for following ML problems:
# * Image Classification
# * Image Object Detection
# * Video Classification
# * Video Object Tracking * Text Extraction
# * Tables
#
# @overload batch_predict(request, options = nil)
# Pass arguments to `batch_predict` via a request object, either of type
# {::Google::Cloud::AutoML::V1beta1::BatchPredictRequest} or an equivalent Hash.
#
# @param request [::Google::Cloud::AutoML::V1beta1::BatchPredictRequest, ::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 batch_predict(name: nil, input_config: nil, output_config: nil, params: nil)
# Pass arguments to `batch_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 name [::String]
# Required. Name of the model requested to serve the batch prediction.
# @param input_config [::Google::Cloud::AutoML::V1beta1::BatchPredictInputConfig, ::Hash]
# Required. The input configuration for batch prediction.
# @param output_config [::Google::Cloud::AutoML::V1beta1::BatchPredictOutputConfig, ::Hash]
# Required. The Configuration specifying where output predictions should
# be written.
# @param params [::Hash{::String => ::String}]
# Required. Additional domain-specific parameters for the predictions, any string must
# be up to 25000 characters long.
#
# * For Text Classification:
#
# `score_threshold` - (float) A value from 0.0 to 1.0. When the model
# makes predictions for a text snippet, it will only produce results
# that have at least this confidence score. The default is 0.5.
#
# * For Image Classification:
#
# `score_threshold` - (float) A value from 0.0 to 1.0. When the model
# makes predictions for an image, it will only produce results that
# have at least this confidence score. The default is 0.5.
#
# * For Image Object Detection:
#
# `score_threshold` - (float) When Model detects objects on the image,
# it will only produce bounding boxes which have at least this
# confidence score. Value in 0 to 1 range, default is 0.5.
# `max_bounding_box_count` - (int64) No more than this number of bounding
# boxes will be produced per image. Default is 100, the
# requested value may be limited by server.
#
# * For Video Classification :
#
# `score_threshold` - (float) A value from 0.0 to 1.0. When the model
# makes predictions for a video, it will only produce results that
# have at least this confidence score. The default is 0.5.
# `segment_classification` - (boolean) Set to true to request
# segment-level classification. AutoML Video Intelligence returns
# labels and their confidence scores for the entire segment of the
# video that user specified in the request configuration.
# The default is "true".
# `shot_classification` - (boolean) Set to true to request shot-level
# classification. AutoML Video Intelligence determines the boundaries
# for each camera shot in the entire segment of the video that user
# specified in the request configuration. AutoML Video Intelligence
# then returns labels and their confidence scores for each detected
# shot, along with the start and end time of the shot.
# WARNING: Model evaluation is not done for this classification type,
# the quality of it depends on training data, but there are no metrics
# provided to describe that quality. The default is "false".
# `1s_interval_classification` - (boolean) Set to true to request
# classification for a video at one-second intervals. AutoML Video
# Intelligence returns labels and their confidence scores for each
# second of the entire segment of the video that user specified in the
# request configuration.
# WARNING: Model evaluation is not done for this classification
# type, the quality of it depends on training data, but there are no
# metrics provided to describe that quality. The default is
# "false".
#
# * For Tables:
#
# feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
# should be populated in the returned TablesAnnotations. The
# default is false.
#
# * For Video Object Tracking:
#
# `score_threshold` - (float) When Model detects objects on video frames,
# it will only produce bounding boxes which have at least this
# confidence score. Value in 0 to 1 range, default is 0.5.
# `max_bounding_box_count` - (int64) No more than this number of bounding
# boxes will be returned per frame. Default is 100, the requested
# value may be limited by server.
# `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
# at least that long as a relative value of video frame size will be
# returned. Value in 0 to 1 range. Default is 0.
# @yield [result, operation] Access the result along with the TransportOperation object
# @yieldparam result [::Gapic::Operation]
# @yieldparam operation [::Gapic::Rest::TransportOperation]
#
# @return [::Gapic::Operation]
#
# @raise [::Google::Cloud::Error] if the REST call is aborted.
#
# @example Basic example
# require "google/cloud/automl/v1beta1"
#
# # Create a client object. The client can be reused for multiple calls.
# client = Google::Cloud::AutoML::V1beta1::PredictionService::Rest::Client.new
#
# # Create a request. To set request fields, pass in keyword arguments.
# request = Google::Cloud::AutoML::V1beta1::BatchPredictRequest.new
#
# # Call the batch_predict method.
# result = client.batch_predict request
#
# # The returned object is of type Gapic::Operation. You can use it to
# # check the status of an operation, cancel it, or wait for results.
# # Here is how to wait for a response.
# result.wait_until_done! timeout: 60
# if result.response?
# p result.response
# else
# puts "No response received."
# end
#
def batch_predict request, options = nil
raise ::ArgumentError, "request must be provided" if request.nil?
request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1beta1::BatchPredictRequest
# 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.batch_predict.metadata.to_h
# Set x-goog-api-client and x-goog-user-project 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::AutoML::V1beta1::VERSION,
transports_version_send: [:rest]
call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id
options.apply_defaults timeout: @config.rpcs.batch_predict.timeout,
metadata: call_metadata,
retry_policy: @config.rpcs.batch_predict.retry_policy
options.apply_defaults timeout: @config.timeout,
metadata: @config.metadata,
retry_policy: @config.retry_policy
@prediction_service_stub.batch_predict request, options do |result, operation|
result = ::Gapic::Operation.new result, @operations_client, options: options
yield result, operation if block_given?
return result
end
rescue ::Gapic::Rest::Error => e
raise ::Google::Cloud::Error.from_error(e)
end
##
# Configuration class for the 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::AutoML::V1beta1::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::AutoML::V1beta1::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::AutoML::V1beta1::PredictionService::Rest::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 `"automl.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://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]
#
class Configuration
extend ::Gapic::Config
DEFAULT_ENDPOINT = "automl.googleapis.com"
config_attr :endpoint, DEFAULT_ENDPOINT, ::String
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
# @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 `batch_predict`
# @return [::Gapic::Config::Method]
#
attr_reader :batch_predict
# @private
def initialize parent_rpcs = nil
predict_config = parent_rpcs.predict if parent_rpcs.respond_to? :predict
@predict = ::Gapic::Config::Method.new predict_config
batch_predict_config = parent_rpcs.batch_predict if parent_rpcs.respond_to? :batch_predict
@batch_predict = ::Gapic::Config::Method.new batch_predict_config
yield self if block_given?
end
end
end
end
end
end
end
end
end
end