.Net: Refactored integration tests for vector stores (#9905)

### Motivation and Context

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Resolves: #6459

This PR adds a base class for vector store integration tests and updates
all integration tests for concrete vector store to use common workflow.

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄

dotnet/src/IntegrationTests/Connectors/Memory/AzureAISearch/AzureAISearchHotel.cs

@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Text.Json.Serialization;
+using Azure.Search.Documents.Indexes;
+using Azure.Search.Documents.Indexes.Models;
+using Microsoft.Extensions.VectorData;
+
+namespace SemanticKernel.IntegrationTests.Connectors.Memory.AzureAISearch;
+
+#pragma warning disable CS8618
+
+public class AzureAISearchHotel
+{
+    [SimpleField(IsKey = true, IsFilterable = true)]
+    [VectorStoreRecordKey]
+    public string HotelId { get; set; }
+
+    [SearchableField(IsFilterable = true, IsSortable = true)]
+    [VectorStoreRecordData(IsFilterable = true, IsFullTextSearchable = true)]
+    public string HotelName { get; set; }
+
+    [SearchableField(AnalyzerName = LexicalAnalyzerName.Values.EnLucene)]
+    [VectorStoreRecordData]
+    public string Description { get; set; }
+
+    [VectorStoreRecordVector(1536)]
+    public ReadOnlyMemory<float>? DescriptionEmbedding { get; set; }
+
+    [SearchableField(IsFilterable = true, IsFacetable = true)]
+    [VectorStoreRecordData(IsFilterable = true)]
+#pragma warning disable CA1819 // Properties should not return arrays
+    public string[] Tags { get; set; }
+#pragma warning restore CA1819 // Properties should not return arrays
+
+    [JsonPropertyName("parking_is_included")]
+    [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
+    [VectorStoreRecordData(IsFilterable = true)]
+    public bool? ParkingIncluded { get; set; }
+
+    [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
+    [VectorStoreRecordData(IsFilterable = true)]
+    public DateTimeOffset? LastRenovationDate { get; set; }
+
+    [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
+    [VectorStoreRecordData]
+    public double? Rating { get; set; }
+}

dotnet/src/IntegrationTests/Connectors/Memory/AzureAISearch/AzureAISearchTextSearchTests.cs

@@ -10,7 +10,6 @@
 using SemanticKernel.IntegrationTests.Data;
 using SemanticKernel.IntegrationTests.TestSettings;
 using Xunit;
-using static SemanticKernel.IntegrationTests.Connectors.Memory.AzureAISearch.AzureAISearchVectorStoreFixture;
 
 namespace SemanticKernel.IntegrationTests.Connectors.Memory.AzureAISearch;
 
@@ -82,11 +81,11 @@ public override Task<ITextSearch> CreateTextSearchAsync()
             this.VectorStore = new AzureAISearchVectorStore(fixture.SearchIndexClient);
         }
 
-        var vectorSearch = this.VectorStore.GetCollection<string, Hotel>(fixture.TestIndexName);
+        var vectorSearch = this.VectorStore.GetCollection<string, AzureAISearchHotel>(fixture.TestIndexName);
         var stringMapper = new HotelTextSearchStringMapper();
         var resultMapper = new HotelTextSearchResultMapper();
 
-        var result = new VectorStoreTextSearch<Hotel>(vectorSearch, this.EmbeddingGenerator!, stringMapper, resultMapper);
+        var result = new VectorStoreTextSearch<AzureAISearchHotel>(vectorSearch, this.EmbeddingGenerator!, stringMapper, resultMapper);
         return Task.FromResult<ITextSearch>(result);
     }
 
@@ -105,7 +104,7 @@ public override bool VerifySearchResults(object[] results, string query, TextSea
         foreach (var result in results)
         {
             Assert.NotNull(result);
-            Assert.IsType<Hotel>(result);
+            Assert.IsType<AzureAISearchHotel>(result);
         }
 
         return true;
@@ -119,7 +118,7 @@ protected sealed class HotelTextSearchStringMapper : ITextSearchStringMapper
         /// <inheritdoc />
         public string MapFromResultToString(object result)
         {
-            if (result is Hotel hotel)
+            if (result is AzureAISearchHotel hotel)
             {
                 return $"{hotel.HotelName} {hotel.Description}";
             }
@@ -135,7 +134,7 @@ protected sealed class HotelTextSearchResultMapper : ITextSearchResultMapper
         /// <inheritdoc />
         public TextSearchResult MapFromResultToTextSearchResult(object result)
         {
-            if (result is Hotel hotel)
+            if (result is AzureAISearchHotel hotel)
             {
                 return new TextSearchResult(value: hotel.Description) { Name = hotel.HotelName, Link = $"id://{hotel.HotelId}" };
             }

dotnet/src/IntegrationTests/Connectors/Memory/AzureAISearch/AzureAISearchVectorStoreFixture.cs

@@ -3,7 +3,6 @@
 using System;
 using System.Collections.Generic;
 using System.Linq;
-using System.Text.Json.Serialization;
 using System.Text.RegularExpressions;
 using System.Threading.Tasks;
 using Azure;
@@ -149,7 +148,7 @@ public static async Task CreateIndexAsync(string indexName, SearchIndexClient ad
         // Build the list of fields from the model, and then replace the DescriptionEmbedding field with a vector field, to work around
         // issue where the field is not recognized as an array on parsing on the server side when apply the VectorSearchFieldAttribute.
         FieldBuilder fieldBuilder = new();
-        var searchFields = fieldBuilder.Build(typeof(Hotel));
+        var searchFields = fieldBuilder.Build(typeof(AzureAISearchHotel));
         var embeddingfield = searchFields.First(x => x.Name == "DescriptionEmbedding");
         searchFields.Remove(embeddingfield);
         searchFields.Add(new VectorSearchField("DescriptionEmbedding", 1536, "my-vector-profile"));
@@ -185,9 +184,9 @@ public static async Task UploadDocumentsAsync(SearchClient searchClient, ITextEm
     {
         var embedding = await embeddingGenerator.GenerateEmbeddingAsync("This is a great hotel");
 
-        IndexDocumentsBatch<Hotel> batch = IndexDocumentsBatch.Create(
+        IndexDocumentsBatch<AzureAISearchHotel> batch = IndexDocumentsBatch.Create(
             IndexDocumentsAction.Upload(
-                new Hotel()
+                new AzureAISearchHotel()
                 {
                     HotelId = "BaseSet-1",
                     HotelName = "Hotel 1",
@@ -199,7 +198,7 @@ public static async Task UploadDocumentsAsync(SearchClient searchClient, ITextEm
                     Rating = 3.6
                 }),
             IndexDocumentsAction.Upload(
-                new Hotel()
+                new AzureAISearchHotel()
                 {
                     HotelId = "BaseSet-2",
                     HotelName = "Hotel 2",
@@ -211,7 +210,7 @@ public static async Task UploadDocumentsAsync(SearchClient searchClient, ITextEm
                     Rating = 3.60
                 }),
             IndexDocumentsAction.Upload(
-                new Hotel()
+                new AzureAISearchHotel()
                 {
                     HotelId = "BaseSet-3",
                     HotelName = "Hotel 3",
@@ -223,7 +222,7 @@ public static async Task UploadDocumentsAsync(SearchClient searchClient, ITextEm
                     Rating = 4.80
                 }),
             IndexDocumentsAction.Upload(
-                new Hotel()
+                new AzureAISearchHotel()
                 {
                     HotelId = "BaseSet-4",
                     HotelName = "Hotel 4",
@@ -241,43 +240,4 @@ public static async Task UploadDocumentsAsync(SearchClient searchClient, ITextEm
         // Add some delay to allow time for the documents to get indexed and show up in search.
         await Task.Delay(5000);
     }
-
-#pragma warning disable CS8618 // Non-nullable field must contain a non-null value when exiting constructor. Consider declaring as nullable.
-    public class Hotel
-    {
-        [SimpleField(IsKey = true, IsFilterable = true)]
-        [VectorStoreRecordKey]
-        public string HotelId { get; set; }
-
-        [SearchableField(IsFilterable = true, IsSortable = true)]
-        [VectorStoreRecordData(IsFilterable = true, IsFullTextSearchable = true)]
-        public string HotelName { get; set; }
-
-        [SearchableField(AnalyzerName = LexicalAnalyzerName.Values.EnLucene)]
-        [VectorStoreRecordData]
-        public string Description { get; set; }
-
-        [VectorStoreRecordVector(1536)]
-        public ReadOnlyMemory<float>? DescriptionEmbedding { get; set; }
-
-        [SearchableField(IsFilterable = true, IsFacetable = true)]
-        [VectorStoreRecordData(IsFilterable = true)]
-#pragma warning disable CA1819 // Properties should not return arrays
-        public string[] Tags { get; set; }
-#pragma warning restore CA1819 // Properties should not return arrays
-
-        [JsonPropertyName("parking_is_included")]
-        [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
-        [VectorStoreRecordData(IsFilterable = true)]
-        public bool? ParkingIncluded { get; set; }
-
-        [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
-        [VectorStoreRecordData(IsFilterable = true)]
-        public DateTimeOffset? LastRenovationDate { get; set; }
-
-        [SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
-        [VectorStoreRecordData]
-        public double? Rating { get; set; }
-    }
-#pragma warning restore CS8618 // Non-nullable field must contain a non-null value when exiting constructor. Consider declaring as nullable.
 }