class Azure::MachineLearningServices::Mgmt::V2018_03_01_preview::Workspaces
These APIs allow end users to operate on Azure
Machine Learning Workspace resources.
Attributes
@return [MachineLearningServicesClient] reference to the MachineLearningServicesClient
Public Class Methods
Creates and initializes a new instance of the Workspaces
class. @param client service class for accessing basic functionality.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 18 def initialize(client) @client = client end
Public Instance Methods
Creates or updates a workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [Workspace] The parameters for creating or updating a machine learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Workspace] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 135 def create_or_update(resource_group_name, workspace_name, parameters, custom_headers:nil) response = create_or_update_async(resource_group_name, workspace_name, parameters, custom_headers:custom_headers).value! response.body unless response.nil? end
Creates or updates a workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [Workspace] The parameters for creating or updating a machine learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 170 def create_or_update_async(resource_group_name, workspace_name, parameters, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.nil? fail ArgumentError, 'parameters is nil' if parameters.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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::Workspace.mapper() request_content = @client.serialize(request_mapper, parameters) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, query_params: {'api-version' => @client.api_version}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:put, 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 || status_code == 201 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::Workspace.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 # Deserialize Response if status_code == 201 begin parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content) result_mapper = Azure::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::Workspace.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
Creates or updates a workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [Workspace] The parameters for creating or updating a machine learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 153 def create_or_update_with_http_info(resource_group_name, workspace_name, parameters, custom_headers:nil) create_or_update_async(resource_group_name, workspace_name, parameters, custom_headers:custom_headers).value! end
Deletes a machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 253 def delete(resource_group_name, workspace_name, custom_headers:nil) response = delete_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! nil end
Deletes a machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 284 def delete_async(resource_group_name, workspace_name, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.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 = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, query_params: {'api-version' => @client.api_version}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:delete, 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 || status_code == 204 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? result end promise.execute end
Deletes a machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 269 def delete_with_http_info(resource_group_name, workspace_name, custom_headers:nil) delete_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! end
Gets the properties of the specified machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Workspace] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 36 def get(resource_group_name, workspace_name, custom_headers:nil) response = get_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! response.body unless response.nil? end
Gets the properties of the specified machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 67 def get_async(resource_group_name, workspace_name, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.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 = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, 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 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::Workspace.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 properties of the specified machine learning workspace.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 52 def get_with_http_info(resource_group_name, workspace_name, custom_headers:nil) get_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! end
Lists all the available machine learning workspaces under the specified resource group.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param skiptoken [String] Continuation token for pagination. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Array<Workspace>] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 452 def list_by_resource_group(resource_group_name, skiptoken:nil, custom_headers:nil) first_page = list_by_resource_group_as_lazy(resource_group_name, skiptoken:skiptoken, custom_headers:custom_headers) first_page.get_all_items end
Lists all the available machine learning workspaces under the specified resource group.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param skiptoken [String] Continuation token for pagination. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [WorkspaceListResult] which provide lazy access to pages of the response.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 1019 def list_by_resource_group_as_lazy(resource_group_name, skiptoken:nil, custom_headers:nil) response = list_by_resource_group_async(resource_group_name, skiptoken:skiptoken, custom_headers:custom_headers).value! unless response.nil? page = response.body page.next_method = Proc.new do |next_page_link| list_by_resource_group_next_async(next_page_link, custom_headers:custom_headers) end page end end
Lists all the available machine learning workspaces under the specified resource group.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param skiptoken [String] Continuation token for pagination. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 485 def list_by_resource_group_async(resource_group_name, skiptoken:nil, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.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 = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name}, query_params: {'api-version' => @client.api_version,'$skiptoken' => skiptoken}, 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 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::WorkspaceListResult.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 machine learning workspaces under the specified resource group.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [WorkspaceListResult] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 831 def list_by_resource_group_next(next_page_link, custom_headers:nil) response = list_by_resource_group_next_async(next_page_link, custom_headers:custom_headers).value! response.body unless response.nil? end
Lists all the available machine learning workspaces under the specified resource group.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 862 def list_by_resource_group_next_async(next_page_link, custom_headers:nil) fail ArgumentError, 'next_page_link is nil' if next_page_link.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 = '{nextLink}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], skip_encoding_path_params: {'nextLink' => next_page_link}, 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 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::WorkspaceListResult.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 machine learning workspaces under the specified resource group.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 847 def list_by_resource_group_next_with_http_info(next_page_link, custom_headers:nil) list_by_resource_group_next_async(next_page_link, custom_headers:custom_headers).value! end
Lists all the available machine learning workspaces under the specified resource group.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param skiptoken [String] Continuation token for pagination. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 469 def list_by_resource_group_with_http_info(resource_group_name, skiptoken:nil, custom_headers:nil) list_by_resource_group_async(resource_group_name, skiptoken:skiptoken, custom_headers:custom_headers).value! end
Lists all the available machine learning workspaces under the specified subscription.
@param skiptoken [String] Continuation token for pagination. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Array<Workspace>] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 738 def list_by_subscription(skiptoken:nil, custom_headers:nil) first_page = list_by_subscription_as_lazy(skiptoken:skiptoken, custom_headers:custom_headers) first_page.get_all_items end
Lists all the available machine learning workspaces under the specified subscription.
@param skiptoken [String] Continuation token for pagination. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [WorkspaceListResult] which provide lazy access to pages of the response.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 1041 def list_by_subscription_as_lazy(skiptoken:nil, custom_headers:nil) response = list_by_subscription_async(skiptoken:skiptoken, custom_headers:custom_headers).value! unless response.nil? page = response.body page.next_method = Proc.new do |next_page_link| list_by_subscription_next_async(next_page_link, custom_headers:custom_headers) end page end end
Lists all the available machine learning workspaces under the specified subscription.
@param skiptoken [String] Continuation token for pagination. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 767 def list_by_subscription_async(skiptoken:nil, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.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 = 'subscriptions/{subscriptionId}/providers/Microsoft.MachineLearningServices/workspaces' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id}, query_params: {'api-version' => @client.api_version,'$skiptoken' => skiptoken}, 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 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::WorkspaceListResult.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 machine learning workspaces under the specified subscription.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [WorkspaceListResult] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 924 def list_by_subscription_next(next_page_link, custom_headers:nil) response = list_by_subscription_next_async(next_page_link, custom_headers:custom_headers).value! response.body unless response.nil? end
Lists all the available machine learning workspaces under the specified subscription.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 955 def list_by_subscription_next_async(next_page_link, custom_headers:nil) fail ArgumentError, 'next_page_link is nil' if next_page_link.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 = '{nextLink}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], skip_encoding_path_params: {'nextLink' => next_page_link}, 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 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::WorkspaceListResult.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 machine learning workspaces under the specified subscription.
@param next_page_link [String] The NextLink from the previous successful call to List operation. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 940 def list_by_subscription_next_with_http_info(next_page_link, custom_headers:nil) list_by_subscription_next_async(next_page_link, custom_headers:custom_headers).value! end
Lists all the available machine learning workspaces under the specified subscription.
@param skiptoken [String] Continuation token for pagination. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 753 def list_by_subscription_with_http_info(skiptoken:nil, custom_headers:nil) list_by_subscription_async(skiptoken:skiptoken, custom_headers:custom_headers).value! end
Lists all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [ListWorkspaceKeysResult] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 551 def list_keys(resource_group_name, workspace_name, custom_headers:nil) response = list_keys_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! response.body unless response.nil? end
Lists all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 584 def list_keys_async(resource_group_name, workspace_name, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.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 = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/listKeys' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, query_params: {'api-version' => @client.api_version}, 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::ListWorkspaceKeysResult.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 keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 568 def list_keys_with_http_info(resource_group_name, workspace_name, custom_headers:nil) list_keys_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! end
Resync all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 650 def resync_keys(resource_group_name, workspace_name, custom_headers:nil) response = resync_keys_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! nil end
Resync all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 683 def resync_keys_async(resource_group_name, workspace_name, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.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 = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/resyncKeys' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, query_params: {'api-version' => @client.api_version}, 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? result end promise.execute end
Resync all the keys associated with this workspace. This includes keys for the storage account, app insights and password for container registry
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 667 def resync_keys_with_http_info(resource_group_name, workspace_name, custom_headers:nil) resync_keys_async(resource_group_name, workspace_name, custom_headers:custom_headers).value! end
Updates a machine learning workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [WorkspaceUpdateParameters] The parameters for updating a machine learning workspace. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Workspace] operation results.
# File lib/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 342 def update(resource_group_name, workspace_name, parameters, custom_headers:nil) response = update_async(resource_group_name, workspace_name, parameters, custom_headers:custom_headers).value! response.body unless response.nil? end
Updates a machine learning workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [WorkspaceUpdateParameters] The parameters for updating a machine learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 377 def update_async(resource_group_name, workspace_name, parameters, custom_headers:nil) fail ArgumentError, '@client.api_version is nil' if @client.api_version.nil? fail ArgumentError, '@client.subscription_id is nil' if @client.subscription_id.nil? fail ArgumentError, 'resource_group_name is nil' if resource_group_name.nil? fail ArgumentError, 'workspace_name is nil' if workspace_name.nil? fail ArgumentError, 'parameters is nil' if parameters.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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::WorkspaceUpdateParameters.mapper() request_content = @client.serialize(request_mapper, parameters) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}' request_url = @base_url || @client.base_url options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'subscriptionId' => @client.subscription_id,'resourceGroupName' => resource_group_name,'workspaceName' => workspace_name}, query_params: {'api-version' => @client.api_version}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:patch, 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::MachineLearningServices::Mgmt::V2018_03_01_preview::Models::Workspace.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
Updates a machine learning workspace with the specified parameters.
@param resource_group_name [String] Name of the resource group in which workspace is located. @param workspace_name [String] Name of Azure
Machine Learning workspace. @param parameters [WorkspaceUpdateParameters] The parameters for updating a machine learning workspace. @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/2018-03-01-preview/generated/azure_mgmt_machine_learning_services/workspaces.rb, line 360 def update_with_http_info(resource_group_name, workspace_name, parameters, custom_headers:nil) update_async(resource_group_name, workspace_name, parameters, custom_headers:custom_headers).value! end