MachineLearningFeatureStoreEntityContainerResource.cs

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

// <auto-generated/>

#nullable disable

using System;
using System.Globalization;
using System.Threading;
using System.Threading.Tasks;
using Azure;
using Azure.Core;
using Azure.Core.Pipeline;
using Azure.ResourceManager;

namespace Azure.ResourceManager.MachineLearning
{
    /// <summary>
    /// A Class representing a MachineLearningFeatureStoreEntityContainer along with the instance operations that can be performed on it.
    /// If you have a <see cref="ResourceIdentifier"/> you can construct a <see cref="MachineLearningFeatureStoreEntityContainerResource"/>
    /// from an instance of <see cref="ArmClient"/> using the GetMachineLearningFeatureStoreEntityContainerResource method.
    /// Otherwise you can get one from its parent resource <see cref="MachineLearningWorkspaceResource"/> using the GetMachineLearningFeatureStoreEntityContainer method.
    /// </summary>
    public partial class MachineLearningFeatureStoreEntityContainerResource : ArmResource
    {
        /// <summary> Generate the resource identifier of a <see cref="MachineLearningFeatureStoreEntityContainerResource"/> instance. </summary>
        /// <param name="subscriptionId"> The subscriptionId. </param>
        /// <param name="resourceGroupName"> The resourceGroupName. </param>
        /// <param name="workspaceName"> The workspaceName. </param>
        /// <param name="name"> The name. </param>
        public static ResourceIdentifier CreateResourceIdentifier(string subscriptionId, string resourceGroupName, string workspaceName, string name)
        {
            var resourceId = $"/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}";
            return new ResourceIdentifier(resourceId);
        }

        private readonly ClientDiagnostics _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics;
        private readonly FeaturestoreEntityContainersRestOperations _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient;
        private readonly MachineLearningFeatureStoreEntityContainerData _data;

        /// <summary> Initializes a new instance of the <see cref="MachineLearningFeatureStoreEntityContainerResource"/> class for mocking. </summary>
        protected MachineLearningFeatureStoreEntityContainerResource()
        {
        }

        /// <summary> Initializes a new instance of the <see cref="MachineLearningFeatureStoreEntityContainerResource"/> class. </summary>
        /// <param name="client"> The client parameters to use in these operations. </param>
        /// <param name="data"> The resource that is the target of operations. </param>
        internal MachineLearningFeatureStoreEntityContainerResource(ArmClient client, MachineLearningFeatureStoreEntityContainerData data) : this(client, data.Id)
        {
            HasData = true;
            _data = data;
        }

        /// <summary> Initializes a new instance of the <see cref="MachineLearningFeatureStoreEntityContainerResource"/> class. </summary>
        /// <param name="client"> The client parameters to use in these operations. </param>
        /// <param name="id"> The identifier of the resource that is the target of operations. </param>
        internal MachineLearningFeatureStoreEntityContainerResource(ArmClient client, ResourceIdentifier id) : base(client, id)
        {
            _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics = new ClientDiagnostics("Azure.ResourceManager.MachineLearning", ResourceType.Namespace, Diagnostics);
            TryGetApiVersion(ResourceType, out string machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersApiVersion);
            _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient = new FeaturestoreEntityContainersRestOperations(Pipeline, Diagnostics.ApplicationId, Endpoint, machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersApiVersion);
#if DEBUG
			ValidateResourceId(Id);
#endif
        }

        /// <summary> Gets the resource type for the operations. </summary>
        public static readonly ResourceType ResourceType = "Microsoft.MachineLearningServices/workspaces/featurestoreEntities";

        /// <summary> Gets whether or not the current instance has data. </summary>
        public virtual bool HasData { get; }

        /// <summary> Gets the data representing this Feature. </summary>
        /// <exception cref="InvalidOperationException"> Throws if there is no data loaded in the current instance. </exception>
        public virtual MachineLearningFeatureStoreEntityContainerData Data
        {
            get
            {
                if (!HasData)
                    throw new InvalidOperationException("The current instance does not have data, you must call Get first.");
                return _data;
            }
        }

        internal static void ValidateResourceId(ResourceIdentifier id)
        {
            if (id.ResourceType != ResourceType)
                throw new ArgumentException(string.Format(CultureInfo.CurrentCulture, "Invalid resource type {0} expected {1}", id.ResourceType, ResourceType), nameof(id));
        }

        /// <summary> Gets a collection of MachineLearningFeaturestoreEntityVersionResources in the MachineLearningFeatureStoreEntityContainer. </summary>
        /// <returns> An object representing collection of MachineLearningFeaturestoreEntityVersionResources and their operations over a MachineLearningFeaturestoreEntityVersionResource. </returns>
        public virtual MachineLearningFeaturestoreEntityVersionCollection GetMachineLearningFeaturestoreEntityVersions()
        {
            return GetCachedClient(client => new MachineLearningFeaturestoreEntityVersionCollection(client, Id));
        }

        /// <summary>
        /// Get version.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}/versions/{version}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityVersions_Get</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="version"> Version identifier. This is case-sensitive. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        /// <exception cref="ArgumentNullException"> <paramref name="version"/> is null. </exception>
        /// <exception cref="ArgumentException"> <paramref name="version"/> is an empty string, and was expected to be non-empty. </exception>
        [ForwardsClientCalls]
        public virtual async Task<Response<MachineLearningFeaturestoreEntityVersionResource>> GetMachineLearningFeaturestoreEntityVersionAsync(string version, CancellationToken cancellationToken = default)
        {
            return await GetMachineLearningFeaturestoreEntityVersions().GetAsync(version, cancellationToken).ConfigureAwait(false);
        }

        /// <summary>
        /// Get version.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}/versions/{version}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityVersions_Get</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="version"> Version identifier. This is case-sensitive. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        /// <exception cref="ArgumentNullException"> <paramref name="version"/> is null. </exception>
        /// <exception cref="ArgumentException"> <paramref name="version"/> is an empty string, and was expected to be non-empty. </exception>
        [ForwardsClientCalls]
        public virtual Response<MachineLearningFeaturestoreEntityVersionResource> GetMachineLearningFeaturestoreEntityVersion(string version, CancellationToken cancellationToken = default)
        {
            return GetMachineLearningFeaturestoreEntityVersions().Get(version, cancellationToken);
        }

        /// <summary>
        /// Get container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_GetEntity</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        public virtual async Task<Response<MachineLearningFeatureStoreEntityContainerResource>> GetAsync(CancellationToken cancellationToken = default)
        {
            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Get");
            scope.Start();
            try
            {
                var response = await _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.GetEntityAsync(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, cancellationToken).ConfigureAwait(false);
                if (response.Value == null)
                    throw new RequestFailedException(response.GetRawResponse());
                return Response.FromValue(new MachineLearningFeatureStoreEntityContainerResource(Client, response.Value), response.GetRawResponse());
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }

        /// <summary>
        /// Get container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_GetEntity</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        public virtual Response<MachineLearningFeatureStoreEntityContainerResource> Get(CancellationToken cancellationToken = default)
        {
            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Get");
            scope.Start();
            try
            {
                var response = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.GetEntity(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, cancellationToken);
                if (response.Value == null)
                    throw new RequestFailedException(response.GetRawResponse());
                return Response.FromValue(new MachineLearningFeatureStoreEntityContainerResource(Client, response.Value), response.GetRawResponse());
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }

        /// <summary>
        /// Delete container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_Delete</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        public virtual async Task<ArmOperation> DeleteAsync(WaitUntil waitUntil, CancellationToken cancellationToken = default)
        {
            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Delete");
            scope.Start();
            try
            {
                var response = await _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.DeleteAsync(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, cancellationToken).ConfigureAwait(false);
                var operation = new MachineLearningArmOperation(_machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics, Pipeline, _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateDeleteRequest(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name).Request, response, OperationFinalStateVia.Location);
                if (waitUntil == WaitUntil.Completed)
                    await operation.WaitForCompletionResponseAsync(cancellationToken).ConfigureAwait(false);
                return operation;
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }

        /// <summary>
        /// Delete container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_Delete</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        public virtual ArmOperation Delete(WaitUntil waitUntil, CancellationToken cancellationToken = default)
        {
            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Delete");
            scope.Start();
            try
            {
                var response = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.Delete(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, cancellationToken);
                var operation = new MachineLearningArmOperation(_machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics, Pipeline, _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateDeleteRequest(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name).Request, response, OperationFinalStateVia.Location);
                if (waitUntil == WaitUntil.Completed)
                    operation.WaitForCompletionResponse(cancellationToken);
                return operation;
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }

        /// <summary>
        /// Create or update container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_CreateOrUpdate</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
        /// <param name="data"> Container entity to create or update. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        /// <exception cref="ArgumentNullException"> <paramref name="data"/> is null. </exception>
        public virtual async Task<ArmOperation<MachineLearningFeatureStoreEntityContainerResource>> UpdateAsync(WaitUntil waitUntil, MachineLearningFeatureStoreEntityContainerData data, CancellationToken cancellationToken = default)
        {
            Argument.AssertNotNull(data, nameof(data));

            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Update");
            scope.Start();
            try
            {
                var response = await _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateOrUpdateAsync(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, data, cancellationToken).ConfigureAwait(false);
                var operation = new MachineLearningArmOperation<MachineLearningFeatureStoreEntityContainerResource>(new MachineLearningFeatureStoreEntityContainerOperationSource(Client), _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics, Pipeline, _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateCreateOrUpdateRequest(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, data).Request, response, OperationFinalStateVia.OriginalUri);
                if (waitUntil == WaitUntil.Completed)
                    await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false);
                return operation;
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }

        /// <summary>
        /// Create or update container.
        /// <list type="bullet">
        /// <item>
        /// <term>Request Path</term>
        /// <description>/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featurestoreEntities/{name}</description>
        /// </item>
        /// <item>
        /// <term>Operation Id</term>
        /// <description>FeaturestoreEntityContainers_CreateOrUpdate</description>
        /// </item>
        /// </list>
        /// </summary>
        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
        /// <param name="data"> Container entity to create or update. </param>
        /// <param name="cancellationToken"> The cancellation token to use. </param>
        /// <exception cref="ArgumentNullException"> <paramref name="data"/> is null. </exception>
        public virtual ArmOperation<MachineLearningFeatureStoreEntityContainerResource> Update(WaitUntil waitUntil, MachineLearningFeatureStoreEntityContainerData data, CancellationToken cancellationToken = default)
        {
            Argument.AssertNotNull(data, nameof(data));

            using var scope = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics.CreateScope("MachineLearningFeatureStoreEntityContainerResource.Update");
            scope.Start();
            try
            {
                var response = _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateOrUpdate(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, data, cancellationToken);
                var operation = new MachineLearningArmOperation<MachineLearningFeatureStoreEntityContainerResource>(new MachineLearningFeatureStoreEntityContainerOperationSource(Client), _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersClientDiagnostics, Pipeline, _machineLearningFeatureStoreEntityContainerFeaturestoreEntityContainersRestClient.CreateCreateOrUpdateRequest(Id.SubscriptionId, Id.ResourceGroupName, Id.Parent.Name, Id.Name, data).Request, response, OperationFinalStateVia.OriginalUri);
                if (waitUntil == WaitUntil.Completed)
                    operation.WaitForCompletion(cancellationToken);
                return operation;
            }
            catch (Exception e)
            {
                scope.Failed(e);
                throw;
            }
        }
    }
}