chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Microsoft.Extensions.VectorData;
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using Microsoft.Extensions.VectorData.ProviderServices;
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using NRedisStack.Search;
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using Xunit;
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using static NRedisStack.Search.Schema;
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namespace Microsoft.SemanticKernel.Connectors.Redis.UnitTests;
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/// <summary>
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/// Contains tests for the <see cref="RedisCollectionCreateMapping"/> class.
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/// </summary>
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public class RedisCollectionCreateMappingTests
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{
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[Theory]
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[InlineData(true)]
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[InlineData(false)]
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public void MapToSchemaCreatesSchema(bool useDollarPrefix)
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{
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// Arrange.
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PropertyModel[] properties =
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[
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new KeyPropertyModel("Key", typeof(string)),
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new DataPropertyModel("FilterableString", typeof(string)) { IsIndexed = true },
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new DataPropertyModel("FullTextSearchableString", typeof(string)) { IsFullTextIndexed = true },
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new DataPropertyModel("FilterableStringEnumerable", typeof(string[])) { IsIndexed = true },
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new DataPropertyModel("FullTextSearchableStringEnumerable", typeof(string[])) { IsFullTextIndexed = true },
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new DataPropertyModel("FilterableInt", typeof(int)) { IsIndexed = true },
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new DataPropertyModel("FilterableNullableInt", typeof(int)) { IsIndexed = true },
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new DataPropertyModel("NonFilterableString", typeof(string)),
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new VectorPropertyModel("VectorDefaultIndexingOptions", typeof(ReadOnlyMemory<float>)) { Dimensions = 10, EmbeddingType = typeof(ReadOnlyMemory<float>) },
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new VectorPropertyModel("VectorSpecificIndexingOptions", typeof(ReadOnlyMemory<float>))
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{
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Dimensions = 20,
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IndexKind = IndexKind.Flat,
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DistanceFunction = DistanceFunction.EuclideanSquaredDistance,
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StorageName = "vector_specific_indexing_options",
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EmbeddingType = typeof(ReadOnlyMemory<float>)
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}
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];
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// Act.
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var schema = RedisCollectionCreateMapping.MapToSchema(properties, useDollarPrefix);
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// Assert.
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Assert.NotNull(schema);
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Assert.Equal(8, schema.Fields.Count);
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Assert.IsType<TagField>(schema.Fields[0]);
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Assert.IsType<TextField>(schema.Fields[1]);
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Assert.IsType<TagField>(schema.Fields[2]);
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Assert.IsType<TextField>(schema.Fields[3]);
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Assert.IsType<NumericField>(schema.Fields[4]);
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Assert.IsType<NumericField>(schema.Fields[5]);
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Assert.IsType<VectorField>(schema.Fields[6]);
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Assert.IsType<VectorField>(schema.Fields[7]);
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if (useDollarPrefix)
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{
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VerifyFieldName(schema.Fields[0].FieldName, ["$.FilterableString", "AS", "FilterableString"]);
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VerifyFieldName(schema.Fields[1].FieldName, ["$.FullTextSearchableString", "AS", "FullTextSearchableString"]);
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VerifyFieldName(schema.Fields[2].FieldName, ["$.FilterableStringEnumerable.*", "AS", "FilterableStringEnumerable"]);
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VerifyFieldName(schema.Fields[3].FieldName, ["$.FullTextSearchableStringEnumerable", "AS", "FullTextSearchableStringEnumerable"]);
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VerifyFieldName(schema.Fields[4].FieldName, ["$.FilterableInt", "AS", "FilterableInt"]);
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VerifyFieldName(schema.Fields[5].FieldName, ["$.FilterableNullableInt", "AS", "FilterableNullableInt"]);
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VerifyFieldName(schema.Fields[6].FieldName, ["$.VectorDefaultIndexingOptions", "AS", "VectorDefaultIndexingOptions"]);
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VerifyFieldName(schema.Fields[7].FieldName, ["$.vector_specific_indexing_options", "AS", "vector_specific_indexing_options"]);
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}
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else
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{
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VerifyFieldName(schema.Fields[0].FieldName, ["FilterableString", "AS", "FilterableString"]);
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VerifyFieldName(schema.Fields[1].FieldName, ["FullTextSearchableString", "AS", "FullTextSearchableString"]);
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VerifyFieldName(schema.Fields[2].FieldName, ["FilterableStringEnumerable.*", "AS", "FilterableStringEnumerable"]);
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VerifyFieldName(schema.Fields[3].FieldName, ["FullTextSearchableStringEnumerable", "AS", "FullTextSearchableStringEnumerable"]);
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VerifyFieldName(schema.Fields[4].FieldName, ["FilterableInt", "AS", "FilterableInt"]);
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VerifyFieldName(schema.Fields[5].FieldName, ["FilterableNullableInt", "AS", "FilterableNullableInt"]);
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VerifyFieldName(schema.Fields[6].FieldName, ["VectorDefaultIndexingOptions", "AS", "VectorDefaultIndexingOptions"]);
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VerifyFieldName(schema.Fields[7].FieldName, ["vector_specific_indexing_options", "AS", "vector_specific_indexing_options"]);
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}
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Assert.Equal("10", ((VectorField)schema.Fields[6]).Attributes!["DIM"]);
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Assert.Equal("FLOAT32", ((VectorField)schema.Fields[6]).Attributes!["TYPE"]);
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Assert.Equal("COSINE", ((VectorField)schema.Fields[6]).Attributes!["DISTANCE_METRIC"]);
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Assert.Equal("20", ((VectorField)schema.Fields[7]).Attributes!["DIM"]);
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Assert.Equal("FLOAT32", ((VectorField)schema.Fields[7]).Attributes!["TYPE"]);
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Assert.Equal("L2", ((VectorField)schema.Fields[7]).Attributes!["DISTANCE_METRIC"]);
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}
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[Fact]
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public void GetSDKIndexKindThrowsOnUnsupportedIndexKind()
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{
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// Arrange.
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var vectorProperty = new VectorPropertyModel("VectorProperty", typeof(ReadOnlyMemory<float>)) { IndexKind = "Unsupported" };
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// Act and assert.
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Assert.Throws<InvalidOperationException>(() => RedisCollectionCreateMapping.GetSDKIndexKind(vectorProperty));
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}
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[Fact]
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public void GetSDKDistanceAlgorithmThrowsOnUnsupportedDistanceFunction()
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{
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// Arrange.
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var vectorProperty = new VectorPropertyModel("VectorProperty", typeof(ReadOnlyMemory<float>)) { DistanceFunction = "Unsupported" };
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// Act and assert.
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Assert.Throws<NotSupportedException>(() => RedisCollectionCreateMapping.GetSDKDistanceAlgorithm(vectorProperty));
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}
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private static void VerifyFieldName(FieldName fieldName, List<object> expected)
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{
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var args = new List<object>();
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fieldName.AddCommandArguments(args);
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Assert.Equal(expected, args);
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}
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}
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