class Azure::CognitiveServices::LuisRuntime::V3_0::PredictionOperations
Attributes
@return [LuisRuntimeClient] reference to the LuisRuntimeClient
Private Class Methods
Creates and initializes a new instance of the PredictionOperations
class. @param client service class for accessing basic functionality.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 17 def initialize(client) @client = client end
Private Instance Methods
Gets the predictions for an application slot.
@param app_id The application ID. @param slot_name [String] The application slot name. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [PredictionResponse] operation results.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 164 def get_slot_prediction(app_id, slot_name, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) response = get_slot_prediction_async(app_id, slot_name, prediction_request, verbose:verbose, show_all_intents:show_all_intents, log:log, custom_headers:custom_headers).value! response.body unless response.nil? end
Gets the predictions for an application slot.
@param app_id The application ID. @param slot_name [String] The application slot name. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 207 def get_slot_prediction_async(app_id, slot_name, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'app_id is nil' if app_id.nil? fail ArgumentError, 'slot_name is nil' if slot_name.nil? fail ArgumentError, 'prediction_request is nil' if prediction_request.nil? request_headers = {} request_headers['Content-Type'] = 'application/json; charset=utf-8' # Set Headers request_headers['x-ms-client-request-id'] = SecureRandom.uuid request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = Azure::CognitiveServices::LuisRuntime::V3_0::Models::PredictionRequest.mapper() request_content = @client.serialize(request_mapper, prediction_request) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'apps/{appId}/slots/{slotName}/predict' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'appId' => app_id,'slotName' => slot_name}, query_params: {'verbose' => verbose,'show-all-intents' => show_all_intents,'log' => log}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:post, path_template, options) promise = promise.then do |result| http_response = result.response status_code = http_response.status response_content = http_response.body unless status_code == 200 error_model = JSON.load(response_content) fail MsRest::HttpOperationError.new(result.request, http_response, error_model) end result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil? result.correlation_request_id = http_response['x-ms-correlation-request-id'] unless http_response['x-ms-correlation-request-id'].nil? result.client_request_id = http_response['x-ms-client-request-id'] unless http_response['x-ms-client-request-id'].nil? # Deserialize Response if status_code == 200 begin parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content) result_mapper = Azure::CognitiveServices::LuisRuntime::V3_0::Models::PredictionResponse.mapper() result.body = @client.deserialize(result_mapper, parsed_response) rescue Exception => e fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result) end end result end promise.execute end
Gets the predictions for an application slot.
@param app_id The application ID. @param slot_name [String] The application slot name. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 186 def get_slot_prediction_with_http_info(app_id, slot_name, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) get_slot_prediction_async(app_id, slot_name, prediction_request, verbose:verbose, show_all_intents:show_all_intents, log:log, custom_headers:custom_headers).value! end
Gets the predictions for an application version.
@param app_id The application ID. @param version_id [String] The application version ID. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [PredictionResponse] operation results.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 41 def get_version_prediction(app_id, version_id, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) response = get_version_prediction_async(app_id, version_id, prediction_request, verbose:verbose, show_all_intents:show_all_intents, log:log, custom_headers:custom_headers).value! response.body unless response.nil? end
Gets the predictions for an application version.
@param app_id The application ID. @param version_id [String] The application version ID. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 84 def get_version_prediction_async(app_id, version_id, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'app_id is nil' if app_id.nil? fail ArgumentError, 'version_id is nil' if version_id.nil? fail ArgumentError, 'prediction_request is nil' if prediction_request.nil? request_headers = {} request_headers['Content-Type'] = 'application/json; charset=utf-8' # Set Headers request_headers['x-ms-client-request-id'] = SecureRandom.uuid request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = Azure::CognitiveServices::LuisRuntime::V3_0::Models::PredictionRequest.mapper() request_content = @client.serialize(request_mapper, prediction_request) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'apps/{appId}/versions/{versionId}/predict' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'appId' => app_id,'versionId' => version_id}, query_params: {'verbose' => verbose,'show-all-intents' => show_all_intents,'log' => log}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:post, path_template, options) promise = promise.then do |result| http_response = result.response status_code = http_response.status response_content = http_response.body unless status_code == 200 error_model = JSON.load(response_content) fail MsRest::HttpOperationError.new(result.request, http_response, error_model) end result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil? result.correlation_request_id = http_response['x-ms-correlation-request-id'] unless http_response['x-ms-correlation-request-id'].nil? result.client_request_id = http_response['x-ms-client-request-id'] unless http_response['x-ms-client-request-id'].nil? # Deserialize Response if status_code == 200 begin parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content) result_mapper = Azure::CognitiveServices::LuisRuntime::V3_0::Models::PredictionResponse.mapper() result.body = @client.deserialize(result_mapper, parsed_response) rescue Exception => e fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result) end end result end promise.execute end
Gets the predictions for an application version.
@param app_id The application ID. @param version_id [String] The application version ID. @param prediction_request [PredictionRequest] The prediction request parameters. @param verbose [Boolean] Indicates whether to get extra metadata for the entities predictions or not. @param show_all_intents [Boolean] Indicates whether to return all the intents in the response or just the top intent. @param log [Boolean] Indicates whether to log the endpoint query or not. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/3.0/generated/azure_cognitiveservices_luisruntime/prediction_operations.rb, line 63 def get_version_prediction_with_http_info(app_id, version_id, prediction_request, verbose:nil, show_all_intents:nil, log:nil, custom_headers:nil) get_version_prediction_async(app_id, version_id, prediction_request, verbose:verbose, show_all_intents:show_all_intents, log:log, custom_headers:custom_headers).value! end