shopping-assistant-api/ShoppingAssistantApi.UnitTests/ProductTests.cs

155 lines
6.0 KiB
C#

using Microsoft.Extensions.DependencyInjection;
using MongoDB.Bson;
using Moq;
using Newtonsoft.Json.Linq;
using ShoppingAssistantApi.Application.IServices;
using ShoppingAssistantApi.Application.Models.CreateDtos;
using ShoppingAssistantApi.Application.Models.Dtos;
using ShoppingAssistantApi.Application.Models.OpenAi;
using ShoppingAssistantApi.Application.Models.ProductSearch;
using ShoppingAssistantApi.Domain.Entities;
using ShoppingAssistantApi.Domain.Enums;
using ShoppingAssistantApi.Infrastructure.Services;
namespace ShoppingAssistantApi.Tests.Tests;
public class ProductTests
{
private Mock<IOpenAiService> _openAiServiceMock;
private Mock<IProductService> _productServiceMock;
public Mock<IWishlistsService> _wishListServiceMock;
public ProductTests()
{
_openAiServiceMock = new Mock<IOpenAiService>();
_productServiceMock = new Mock<IProductService>();
_wishListServiceMock = new Mock<IWishlistsService>();
}
[Fact]
public async Task StartNewSearchAndReturnWishlist_CreatesWishlistObject()
{
var message = new Message
{
Id = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Text = "what are the best graphics cards you know?",
CreatedById = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Role = "user"
};
var cancellationToken = CancellationToken.None;
var expectedOpenAiMessage = new OpenAiMessage
{
Role = OpenAiRole.User,
Content = "{ \"Name\": [{ \"Name\": \"NVIDIA GeForce RTX 3080\" }, { \"Name\": \"AMD Radeon RX 6900 XT\" }] }"
};
_openAiServiceMock.Setup(x => x.GetChatCompletionStream(It.IsAny<ChatCompletionRequest>(), cancellationToken))
.Returns((ChatCompletionRequest request, CancellationToken token) =>
{
var asyncEnumerable = new List<string> { expectedOpenAiMessage.Content }.ToAsyncEnumerable();
return asyncEnumerable;
});
_wishListServiceMock.Setup(x => x.StartPersonalWishlistAsync(It.IsAny<WishlistCreateDto>(), cancellationToken))
.ReturnsAsync(new WishlistDto
{
Id = "someID",
Name = "MacBook",
Type = "Product",
CreatedById = "someId"
});
var productService = new ProductService(_openAiServiceMock.Object, _wishListServiceMock.Object);
List<ProductName> productNames = null;
WishlistDto createdWishList = null;
var result = productService.StartNewSearchAndReturnWishlist(message, cancellationToken);
await foreach (var (productList, wishlist) in result)
{
productNames = productList;
createdWishList = wishlist;
}
var openAiContent = JObject.Parse(expectedOpenAiMessage.Content);
Assert.True(openAiContent.ContainsKey("Name"));
Assert.NotNull(createdWishList);
Assert.NotNull(productNames);
}
[Fact]
public async Task GetProductFromSearch_ReturnsProductList()
{
var message = new Message
{
Id = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Text = "what are the best graphics cards you know?",
CreatedById = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Role = "user"
};
var cancellationToken = CancellationToken.None;
var expectedProductList = new List<string> { "NVIDIA GeForce RTX 3080", "AMD Radeon RX 6900 XT" };
_productServiceMock.Setup(x => x.GetProductFromSearch(message, cancellationToken))
.ReturnsAsync(expectedProductList);
var expectedOpenAiMessage = new OpenAiMessage
{
Role = OpenAiRole.User,
Content = "{ \"Name\": [{ \"Name\": \"NVIDIA GeForce RTX 3080\" }, { \"Name\": \"AMD Radeon RX 6900 XT\" }] }"
};
_openAiServiceMock.Setup(x => x.GetChatCompletion(It.IsAny<ChatCompletionRequest>(), cancellationToken))
.ReturnsAsync(expectedOpenAiMessage);
var openAiContent = JObject.Parse(expectedOpenAiMessage.Content);
var productNames = openAiContent["Name"].ToObject<List<ProductName>>();
var productList = productNames.Select(info => info.Name).ToList();
Assert.Equal(expectedProductList, productList);
Assert.True(openAiContent.ContainsKey("Name"));
}
[Fact]
public async Task GetRecommendationsForProductFromSearch_ReturnsRecommendations()
{
var message = new Message
{
Id = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Text = "get recommendations for this product",
CreatedById = ObjectId.Parse("ab6c2c2d9edf39abcd1ef9ab"),
Role = "user"
};
var cancellationToken = CancellationToken.None;
var expectedOpenAiMessage = new OpenAiMessage
{
Role = OpenAiRole.User,
Content = "{ \"Recommendation\": [\"Recommendation 1\", \"Recommendation 2\"] }"
};
_openAiServiceMock.Setup(x => x.GetChatCompletionStream(It.IsAny<ChatCompletionRequest>(), cancellationToken))
.Returns((ChatCompletionRequest request, CancellationToken token) =>
{
var asyncEnumerable = new List<string> { expectedOpenAiMessage.Content }.ToAsyncEnumerable();
return asyncEnumerable;
});
var recommendations = new List<string>();
var productService = new ProductService(_openAiServiceMock.Object, _wishListServiceMock.Object);
await foreach (var recommendation in productService.GetRecommendationsForProductFromSearchStream(message, cancellationToken))
{
recommendations.Add(recommendation);
}
var openAiContent = JObject.Parse(expectedOpenAiMessage.Content);
Assert.NotNull(openAiContent);
Assert.True(openAiContent.ContainsKey("Recommendation"));
Assert.Equal(new List<string> { "Recommendation 1", "Recommendation 2" }, recommendations);
}
}