class Azure::MachineLearning::Mgmt::V2017_01_01::Operations
These APIs allow end users to operate on Azure
Machine Learning Web Services resources. They support the following operations:<ul><li>Create or update a web service</li><li>Get a web service</li><li>Patch a web service</li><li>Delete a web service</li><li>Get All Web Services in a Resource Group </li><li>Get All Web Services in a Subscription</li><li>Get Web Services Keys</li></ul>
Attributes
@return [AzureMLWebServicesManagementClient] reference to the AzureMLWebServicesManagementClient
Private Class Methods
Creates and initializes a new instance of the Operations
class. @param client service class for accessing basic functionality.
# File lib/2017-01-01/generated/azure_mgmt_machine_learning/operations.rb, line 22 def initialize(client) @client = client end
Private Instance Methods
Lists all the available REST API operations.
@param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [OperationEntityListResult] operation results.
# File lib/2017-01-01/generated/azure_mgmt_machine_learning/operations.rb, line 37 def list(custom_headers:nil) response = list_async(custom_headers:custom_headers).value! response.body unless response.nil? end
Lists all the available REST API operations.
@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/2017-01-01/generated/azure_mgmt_machine_learning/operations.rb, line 62 def list_async(custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.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? path_template = 'providers/Microsoft.MachineLearning/operations' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], query_params: {'api-version' => @client.api_version}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:get, 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 MsRestAzure::AzureOperationError.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? # Deserialize Response if status_code == 200 begin parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content) result_mapper = Azure::MachineLearning::Mgmt::V2017_01_01::Models::OperationEntityListResult.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
Lists all the available REST API operations.
@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/2017-01-01/generated/azure_mgmt_machine_learning/operations.rb, line 50 def list_with_http_info(custom_headers:nil) list_async(custom_headers:custom_headers).value! end