Implement ml.estimate_model_memory.json (#4530)

Implement ml.estimate_model_memory.json

src/ApiGenerator/Configuration/CodeConfiguration.cs

@@ -66,7 +66,6 @@ public static class CodeConfiguration
 			"cluster.delete_component_template.json",
 			"cluster.get_component_template.json",
 			"cluster.put_component_template.json",
-			"ml.estimate_model_memory.json",
 			"ml.set_upgrade_mode.json",
 			"security.get_builtin_privileges.json",
 			"transform.delete_transform.json",

src/Nest/Descriptors.MachineLearning.cs

@@ -251,6 +251,14 @@ protected DeleteModelSnapshotDescriptor(): base()
 	// Request parameters
 	}
 
+	///<summary>Descriptor for EstimateModelMemory</summary>
+	public partial class EstimateModelMemoryDescriptor<TDocument> : RequestDescriptorBase<EstimateModelMemoryDescriptor<TDocument>, EstimateModelMemoryRequestParameters, IEstimateModelMemoryRequest>, IEstimateModelMemoryRequest
+	{
+		internal override ApiUrls ApiUrls => ApiUrlsLookups.MachineLearningEstimateModelMemory;
+	// values part of the url path
+	// Request parameters
+	}
+
 	///<summary>Descriptor for FlushJob <para>https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-flush-job.html</para></summary>
 	public partial class FlushJobDescriptor : RequestDescriptorBase<FlushJobDescriptor, FlushJobRequestParameters, IFlushJobRequest>, IFlushJobRequest
 	{

src/Nest/ElasticClient.MachineLearning.cs

@@ -277,6 +277,32 @@ internal MachineLearningNamespace(ElasticClient client): base(client)
 		/// </summary>
 		public Task<DeleteModelSnapshotResponse> DeleteModelSnapshotAsync(IDeleteModelSnapshotRequest request, CancellationToken ct = default) => DoRequestAsync<IDeleteModelSnapshotRequest, DeleteModelSnapshotResponse>(request, request.RequestParameters, ct);
 		/// <summary>
+		/// <c>POST</c> request to the <c>ml.estimate_model_memory</c> API, read more about this API online:
+		/// <para></para>
+		/// <a></a>
+		/// </summary>
+		public EstimateModelMemoryResponse EstimateModelMemory<TDocument>(Func<EstimateModelMemoryDescriptor<TDocument>, IEstimateModelMemoryRequest> selector)
+			where TDocument : class => EstimateModelMemory(selector.InvokeOrDefault(new EstimateModelMemoryDescriptor<TDocument>()));
+		/// <summary>
+		/// <c>POST</c> request to the <c>ml.estimate_model_memory</c> API, read more about this API online:
+		/// <para></para>
+		/// <a></a>
+		/// </summary>
+		public Task<EstimateModelMemoryResponse> EstimateModelMemoryAsync<TDocument>(Func<EstimateModelMemoryDescriptor<TDocument>, IEstimateModelMemoryRequest> selector, CancellationToken ct = default)
+			where TDocument : class => EstimateModelMemoryAsync(selector.InvokeOrDefault(new EstimateModelMemoryDescriptor<TDocument>()), ct);
+		/// <summary>
+		/// <c>POST</c> request to the <c>ml.estimate_model_memory</c> API, read more about this API online:
+		/// <para></para>
+		/// <a></a>
+		/// </summary>
+		public EstimateModelMemoryResponse EstimateModelMemory(IEstimateModelMemoryRequest request) => DoRequest<IEstimateModelMemoryRequest, EstimateModelMemoryResponse>(request, request.RequestParameters);
+		/// <summary>
+		/// <c>POST</c> request to the <c>ml.estimate_model_memory</c> API, read more about this API online:
+		/// <para></para>
+		/// <a></a>
+		/// </summary>
+		public Task<EstimateModelMemoryResponse> EstimateModelMemoryAsync(IEstimateModelMemoryRequest request, CancellationToken ct = default) => DoRequestAsync<IEstimateModelMemoryRequest, EstimateModelMemoryResponse>(request, request.RequestParameters, ct);
+		/// <summary>
 		/// <c>POST</c> request to the <c>ml.flush_job</c> API, read more about this API online:
 		/// <para></para>
 		/// <a href = "https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-flush-job.html">https://www.elastic.co/guide/en/elasticsearch/reference/current/ml-flush-job.html</a>

src/Nest/Requests.MachineLearning.cs

@@ -430,6 +430,20 @@ protected DeleteModelSnapshotRequest(): base()
 	// Request parameters
 	}
 
+	[InterfaceDataContract]
+	public partial interface IEstimateModelMemoryRequest : IRequest<EstimateModelMemoryRequestParameters>
+	{
+	}
+
+	///<summary>Request for EstimateModelMemory</summary>
+	public partial class EstimateModelMemoryRequest : PlainRequestBase<EstimateModelMemoryRequestParameters>, IEstimateModelMemoryRequest
+	{
+		protected IEstimateModelMemoryRequest Self => this;
+		internal override ApiUrls ApiUrls => ApiUrlsLookups.MachineLearningEstimateModelMemory;
+	// values part of the url path
+	// Request parameters
+	}
+
 	[InterfaceDataContract]
 	public partial interface IFlushJobRequest : IRequest<FlushJobRequestParameters>
 	{

src/Nest/XPack/MachineLearning/EstimateModelMemory/EstimateModelMemoryRequest.cs

@@ -0,0 +1,125 @@
+using System;
+using System.Collections.Generic;
+using System.Linq.Expressions;
+using System.Runtime.Serialization;
+using Elasticsearch.Net.Utf8Json;
+
+namespace Nest
+{
+	[MapsApi("ml.estimate_model_memory.json")]
+	[ReadAs(typeof(EstimateModelMemoryRequest))]
+	public partial interface IEstimateModelMemoryRequest
+	{
+		/// <summary>
+		/// For a list of the properties that you can specify in the analysis_config component of the body
+		/// of this API, see analysis_config.
+		/// </summary>
+		[DataMember(Name ="analysis_config")]
+		IAnalysisConfig AnalysisConfig { get; set; }
+
+		/// <summary>
+		/// Estimates of the cardinality that will be observed for fields over the whole time period that
+		/// the job analyzes data. To produce a good answer, values must be provided for fields referenced
+		/// in the by_field_name, over_field_name and partition_field_name of any detectors. It does not matter
+		/// if values are provided for other fields. If no detectors have a by_field_name, over_field_name or
+		/// partition_field_name then overall_cardinality can be omitted from the request.
+		/// </summary>
+		[DataMember(Name = "overall_cardinality")]
+		IOverallCardinality OverallCardinality { get; set; }
+
+		/// <summary>
+		///  Estimates of the highest cardinality in a single bucket that will be observed for influencer
+		/// fields over the time period that the job analyzes data. To produce a good answer, values must
+		/// be provided for all influencer fields. It does not matter if values are provided for fields
+		/// that are not listed as influencers. If there are no influencers then max_bucket_cardinality
+		/// can be omitted from the request.
+		/// </summary>
+		[DataMember(Name = "max_bucket_cardinality")]
+		IMaxBucketCardinality MaxBucketCardinality { get; set; }
+	}
+
+	public partial class EstimateModelMemoryRequest
+	{
+		/// <inheritdoc />
+		public IAnalysisConfig AnalysisConfig { get; set; }
+
+		/// <inheritdoc />
+		public IOverallCardinality OverallCardinality  { get; set; }
+
+		/// <inheritdoc />
+		public IMaxBucketCardinality MaxBucketCardinality  { get; set; }
+	}
+
+	public partial class EstimateModelMemoryDescriptor<TDocument> where TDocument : class
+	{
+		IAnalysisConfig IEstimateModelMemoryRequest.AnalysisConfig { get; set; }
+		IOverallCardinality IEstimateModelMemoryRequest.OverallCardinality { get; set; }
+		IMaxBucketCardinality IEstimateModelMemoryRequest.MaxBucketCardinality { get; set; }
+
+		/// <inheritdoc />
+		public EstimateModelMemoryDescriptor<TDocument> AnalysisConfig(Func<AnalysisConfigDescriptor<TDocument>, IAnalysisConfig> selector) =>
+			Assign(selector, (a, v) => a.AnalysisConfig = v?.Invoke(new AnalysisConfigDescriptor<TDocument>()));
+
+		/// <inheritdoc />
+		public EstimateModelMemoryDescriptor<TDocument> OverallCardinality(Func<OverallCardinalityDescriptor<TDocument>, IPromise<IOverallCardinality>> analyzerSelector) =>
+			Assign(analyzerSelector, (a, v) => a.OverallCardinality = v?.Invoke(new OverallCardinalityDescriptor<TDocument>())?.Value);
+
+		/// <inheritdoc />
+		public EstimateModelMemoryDescriptor<TDocument> MaxBucketCardinality(Func<MaxBucketCardinalityDescriptor<TDocument>, IPromise<IMaxBucketCardinality>> analyzerSelector) =>
+			Assign(analyzerSelector, (a, v) => a.MaxBucketCardinality = v?.Invoke(new MaxBucketCardinalityDescriptor<TDocument>())?.Value);
+	}
+
+	[JsonFormatter(typeof(VerbatimDictionaryKeysFormatter<OverallCardinality, IOverallCardinality, Field, long>))]
+	public interface IOverallCardinality : IIsADictionary<Field, long> { }
+
+	public class OverallCardinality : IsADictionaryBase<Field, long>, IOverallCardinality
+	{
+		public OverallCardinality() { }
+
+		public OverallCardinality(IDictionary<Field, long> container) : base(container) { }
+
+		public void Add(Field field, long cardinality) => BackingDictionary.Add(field, cardinality);
+	}
+
+	public class OverallCardinality<T> : OverallCardinality where T : class
+	{
+		public void Add<TValue>(Expression<Func<T, TValue>> field, long cardinality) => BackingDictionary.Add(field, cardinality);
+	}
+
+	public class OverallCardinalityDescriptor<T> : IsADictionaryDescriptorBase<OverallCardinalityDescriptor<T>, IOverallCardinality, Field, long> where T : class
+	{
+		public OverallCardinalityDescriptor() : base(new OverallCardinality()) { }
+
+		public OverallCardinalityDescriptor<T> Field(Field field, long cardinality) => Assign(field, cardinality);
+
+		public OverallCardinalityDescriptor<T> Field<TValue>(Expression<Func<T, TValue>> field, long cardinality) => Assign(field, cardinality);
+	}
+
+	[JsonFormatter(typeof(VerbatimDictionaryKeysFormatter<MaxBucketCardinality, IMaxBucketCardinality, Field, long>))]
+	public interface IMaxBucketCardinality : IIsADictionary<Field, long> { }
+
+	public class MaxBucketCardinality : IsADictionaryBase<Field, long>, IMaxBucketCardinality
+	{
+		public MaxBucketCardinality() { }
+
+		public MaxBucketCardinality(IDictionary<Field, long> container) : base(container) { }
+
+		public MaxBucketCardinality(Dictionary<Field, long> container) : base(container) { }
+
+		public void Add(Field field, long cardinality) => BackingDictionary.Add(field, cardinality);
+	}
+
+	public class MaxBucketCardinality<T> : MaxBucketCardinality where T : class
+	{
+		public void Add<TValue>(Expression<Func<T, TValue>> field, long cardinality) => BackingDictionary.Add(field, cardinality);
+	}
+
+	public class MaxBucketCardinalityDescriptor<T> : IsADictionaryDescriptorBase<MaxBucketCardinalityDescriptor<T>, IMaxBucketCardinality, Field, long> where T : class
+	{
+		public MaxBucketCardinalityDescriptor() : base(new MaxBucketCardinality()) { }
+
+		public MaxBucketCardinalityDescriptor<T> Field(Field field, long cardinality) => Assign(field, cardinality);
+
+		public MaxBucketCardinalityDescriptor<T> Field<TValue>(Expression<Func<T, TValue>> field, long cardinality) => Assign(field, cardinality);
+	}
+}

src/Nest/XPack/MachineLearning/EstimateModelMemory/EstimateModelMemoryResponse.cs

@@ -0,0 +1,10 @@
+using System.Runtime.Serialization;
+
+namespace Nest
+{
+	public class EstimateModelMemoryResponse : ResponseBase
+	{
+		[DataMember(Name ="model_memory_estimate")]
+		public string ModelMemoryEstimate { get; internal set;  }
+	}
+}

tests/Tests/XPack/MachineLearning/EstimateModelMemory/EstimateModelMemoryApiTests.cs

@@ -0,0 +1,102 @@
+using System;
+using Elastic.Xunit.XunitPlumbing;
+using Elasticsearch.Net;
+using Nest;
+using Tests.Core.Extensions;
+using Tests.Domain;
+using Tests.Framework.EndpointTests.TestState;
+using static Nest.Infer;
+
+namespace Tests.XPack.MachineLearning.EstimateModelMemory
+{
+	[SkipVersion("<7.7.0", "Introduced in 7.7.0")]
+	public class EstimateModelMemoryApiTests : MachineLearningIntegrationTestBase<EstimateModelMemoryResponse, IEstimateModelMemoryRequest, EstimateModelMemoryDescriptor<Metric>, EstimateModelMemoryRequest>
+	{
+		public EstimateModelMemoryApiTests(MachineLearningCluster cluster, EndpointUsage usage) : base(cluster, usage) { }
+
+		protected override bool ExpectIsValid => true;
+		protected override int ExpectStatusCode => 200;
+		protected override Func<EstimateModelMemoryDescriptor<Metric>, IEstimateModelMemoryRequest> Fluent => f => f
+			.AnalysisConfig(a => a
+				.BucketSpan("30m")
+				.Latency("0s")
+				.Detectors(d => d.Sum(c => c.FieldName(r => r.Total)))
+			)
+			.OverallCardinality(m =>
+				m.Field(f => f.Response, 50)
+				 .Field(f => f.Accept, 10)
+			)
+			.MaxBucketCardinality(m =>
+				m.Field(f => f.Response, 500)
+				 .Field(f => f.Accept, 100)
+			);
+
+		protected override HttpMethod HttpMethod => HttpMethod.POST;
+
+		protected override object ExpectJson => new
+		{
+			analysis_config = new
+			{
+				bucket_span = "30m",
+				detectors = new[]
+				{
+					new
+					{
+						function = "sum",
+						field_name = "total"
+					}
+				},
+				latency = "0s",
+			},
+			overall_cardinality = new
+			{
+				response = 50,
+				accept = 10,
+			},
+			max_bucket_cardinality = new
+			{
+				response = 500,
+				accept = 100,
+			}
+		};
+
+		protected override EstimateModelMemoryRequest Initializer => new EstimateModelMemoryRequest
+		{
+			AnalysisConfig = new AnalysisConfig
+			{
+				BucketSpan = "30m",
+				Latency = "0s",
+				Detectors = new[]
+				{
+					new SumDetector
+					{
+						FieldName = Field<Metric>(f => f.Total)
+					}
+				}
+			},
+			OverallCardinality = new OverallCardinality
+			{
+				{ Field<Metric>(f => f.Response), 50 },
+				{ Field<Metric>(f => f.Accept), 10 }
+			},
+			MaxBucketCardinality = new MaxBucketCardinality
+			{
+				{ Field<Metric>(f => f.Response), 500 },
+				{ Field<Metric>(f => f.Accept), 100 }
+			}
+		};
+
+		protected override string UrlPath => $"/_ml/anomaly_detectors/_estimate_model_memory";
+
+		protected override LazyResponses ClientUsage() => Calls(
+			(client, f) => client.MachineLearning.EstimateModelMemory(f),
+			(client, f) => client.MachineLearning.EstimateModelMemoryAsync(f),
+			(client, r) => client.MachineLearning.EstimateModelMemory(r),
+			(client, r) => client.MachineLearning.EstimateModelMemoryAsync(r)
+		);
+
+		protected override EstimateModelMemoryDescriptor<Metric> NewDescriptor() => new EstimateModelMemoryDescriptor<Metric>();
+
+		protected override void ExpectResponse(EstimateModelMemoryResponse response) => response.ShouldBeValid();
+	}
+}

tests/Tests/XPack/MachineLearning/EstimateModelMemory/EstimateModelMemoryUrlTests.cs

@@ -0,0 +1,17 @@
+using System.Threading.Tasks;
+using Elastic.Xunit.XunitPlumbing;
+using Nest;
+using Tests.Framework.EndpointTests;
+using static Tests.Framework.EndpointTests.UrlTester;
+
+namespace Tests.XPack.MachineLearning.EstimateModelMemory
+{
+	public class EstimateModelMemoryUrlTests : UrlTestsBase
+	{
+		[U] public override async Task Urls() => await POST("/_ml/anomaly_detectors/_estimate_model_memory")
+			.Fluent(c => c.MachineLearning.EstimateModelMemory(new EstimateModelMemoryRequest()))
+			.Request(c => c.MachineLearning.EstimateModelMemory(new EstimateModelMemoryRequest()))
+			.FluentAsync(c => c.MachineLearning.EstimateModelMemoryAsync(new EstimateModelMemoryRequest()))
+			.RequestAsync(c => c.MachineLearning.EstimateModelMemoryAsync(new EstimateModelMemoryRequest()));
+	}
+}