# 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/v1/prediction_service_pb" require "google/cloud/automl/v1/prediction_service/rest/service_stub" module Google module Cloud module AutoML module V1 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 dash-case, either of those cases is accepted. # class Client # @private API_VERSION = "" # @private DEFAULT_ENDPOINT_TEMPLATE = "automl.$UNIVERSE_DOMAIN$" include Paths # @private attr_reader :prediction_service_stub ## # Configure the PredictionService Client class. # # See {::Google::Cloud::AutoML::V1::PredictionService::Rest::Client::Configuration} # for a description of the configuration fields. # # @example # # # Modify the configuration for all PredictionService clients # ::Google::Cloud::AutoML::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", "AutoML", "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.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::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::AutoML::V1::PredictionService::Rest::Client.new # # # Create a client using a custom configuration # client = ::Google::Cloud::AutoML::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 @operations_client = ::Google::Cloud::AutoML::V1::PredictionService::Rest::Operations.new do |config| config.credentials = credentials config.quota_project = @quota_project_id config.endpoint = @config.endpoint config.universe_domain = @config.universe_domain end @prediction_service_stub = ::Google::Cloud::AutoML::V1::PredictionService::Rest::ServiceStub.new( endpoint: @config.endpoint, endpoint_template: DEFAULT_ENDPOINT_TEMPLATE, universe_domain: @config.universe_domain, credentials: credentials, logger: @config.logger ) @prediction_service_stub.logger(stub: true)&.info do |entry| entry.set_system_name entry.set_service entry.message = "Created client for #{entry.service}" entry.set_credentials_fields credentials entry.set "customEndpoint", @config.endpoint if @config.endpoint entry.set "defaultTimeout", @config.timeout if @config.timeout entry.set "quotaProject", @quota_project_id if @quota_project_id end end ## # Get the associated client for long-running operations. # # @return [::Google::Cloud::AutoML::V1::PredictionService::Rest::Operations] # attr_reader :operations_client ## # The logger used for request/response debug logging. # # @return [Logger] # def logger @prediction_service_stub.logger end # Service calls ## # Perform an online prediction. The prediction result is directly # returned in the response. # Available for following ML scenarios, and their expected request payloads: # # AutoML Vision Classification # # * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. # # AutoML Vision Object Detection # # * An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB. # # AutoML Natural Language Classification # # * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in # .PDF, .TIF or .TIFF format with size upto 2MB. # # AutoML Natural Language Entity Extraction # # * A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document # in .PDF, .TIF or .TIFF format with size upto 20MB. # # AutoML Natural Language Sentiment Analysis # # * A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in # .PDF, .TIF or .TIFF format with size upto 2MB. # # AutoML Translation # # * A TextSnippet up to 25,000 characters, UTF-8 encoded. # # AutoML Tables # # * A row with column values matching # the columns of the model, up to 5MB. Not available for FORECASTING # `prediction_type`. # # @overload predict(request, options = nil) # Pass arguments to `predict` via a request object, either of type # {::Google::Cloud::AutoML::V1::PredictRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AutoML::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(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::V1::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. # # AutoML Vision 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. # # AutoML Vision 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) The maximum number of bounding # boxes returned. The default is 100. The # number of returned bounding boxes might be limited by the server. # # AutoML Tables # # `feature_importance` # : (boolean) Whether # [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] # is populated in the returned list of # [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] # objects. The default is false. # @yield [result, operation] Access the result along with the TransportOperation object # @yieldparam result [::Google::Cloud::AutoML::V1::PredictResponse] # @yieldparam operation [::Gapic::Rest::TransportOperation] # # @return [::Google::Cloud::AutoML::V1::PredictResponse] # # @raise [::Google::Cloud::Error] if the REST call is aborted. # # @example Basic example # require "google/cloud/automl/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AutoML::V1::PredictionService::Rest::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AutoML::V1::PredictRequest.new # # # Call the predict method. # result = client.predict request # # # The returned object is of type Google::Cloud::AutoML::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::AutoML::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::AutoML::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? end rescue ::Gapic::Rest::Error => e raise ::Google::Cloud::Error.from_error(e) end ## # Perform a batch prediction. Unlike the online {::Google::Cloud::AutoML::V1::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::V1::BatchPredictResult BatchPredictResult} is returned in # the {::Google::Longrunning::Operation#response response} field. # Available for following ML scenarios: # # * AutoML Vision Classification # * AutoML Vision Object Detection # * AutoML Video Intelligence Classification # * AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification # * AutoML Natural Language Entity Extraction # * AutoML Natural Language Sentiment Analysis # * AutoML Tables # # @overload batch_predict(request, options = nil) # Pass arguments to `batch_predict` via a request object, either of type # {::Google::Cloud::AutoML::V1::BatchPredictRequest} or an equivalent Hash. # # @param request [::Google::Cloud::AutoML::V1::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::V1::BatchPredictInputConfig, ::Hash] # Required. The input configuration for batch prediction. # @param output_config [::Google::Cloud::AutoML::V1::BatchPredictOutputConfig, ::Hash] # Required. The Configuration specifying where output predictions should # be written. # @param params [::Hash{::String => ::String}] # Additional domain-specific parameters for the predictions, any string must # be up to 25000 characters long. # # AutoML Natural Language 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. # # # AutoML Vision 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. # # AutoML Vision 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) The maximum number of bounding # boxes returned per image. The default is 100, the # number of bounding boxes returned might be limited by the server. # AutoML Video Intelligence 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. # The default is false. # # 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. # # `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. The default is false. # # 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. # # AutoML Video Intelligence 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) The maximum number of bounding # boxes returned per image. The default is 100, the # number of bounding boxes returned might be limited by the server. # # `min_bounding_box_size` # : (float) Only bounding boxes with shortest edge # at least that long as a relative value of video frame size are # 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/v1" # # # Create a client object. The client can be reused for multiple calls. # client = Google::Cloud::AutoML::V1::PredictionService::Rest::Client.new # # # Create a request. To set request fields, pass in keyword arguments. # request = Google::Cloud::AutoML::V1::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::V1::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, 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::AutoML::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.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? throw :response, 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::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::AutoML::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::AutoML::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`) - 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] # @!attribute [rw] logger # A custom logger to use for request/response debug logging, or the value # `:default` (the default) to construct a default logger, or `nil` to # explicitly disable logging. # @return [::Logger,:default,nil] # class Configuration extend ::Gapic::Config # @private # The endpoint specific to the default "googleapis.com" universe. Deprecated. DEFAULT_ENDPOINT = "automl.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 config_attr :logger, :default, ::Logger, nil, :default # @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`) - 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