// Copyright (c) Microsoft. All rights reserved.

using System.Text.Json;
using Microsoft.SemanticKernel.Data;
using Microsoft.SemanticKernel.Plugins.Web.Tavily;

namespace Search;

/// <summary>
/// This example shows how to create and use a <see cref="TavilyTextSearch"/>.
/// </summary>
public class Tavily_TextSearch(ITestOutputHelper output) : BaseTest(output)
{
#pragma warning disable CS0618 // Suppress obsolete warnings for legacy TextSearchOptions/TextSearchFilter usage
    /// <summary>
    /// Show how to create a <see cref="TavilyTextSearch"/> and use it to perform a text search.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearch()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch instance using Tavily search
        var textSearch = new TavilyTextSearch(apiKey: TestConfiguration.Tavily.ApiKey, options: new() { HttpClient = httpClient, IncludeRawContent = true });

        var query = "What is the Semantic Kernel?";

        // Search and return results as a string items
        KernelSearchResults<string> stringResults = await textSearch.SearchAsync(query, new() { Top = 4 });
        Console.WriteLine("--- String Results ---\n");
        await foreach (string result in stringResults.Results)
        {
            Console.WriteLine(result);
            WriteHorizontalRule();
        }

        // Search and return results as TextSearchResult items
        KernelSearchResults<TextSearchResult> textResults = await textSearch.GetTextSearchResultsAsync(query, new() { Top = 4 });
        Console.WriteLine("\n--- Text Search Results ---\n");
        await foreach (TextSearchResult result in textResults.Results)
        {
            Console.WriteLine($"Name:  {result.Name}");
            Console.WriteLine($"Value: {result.Value}");
            Console.WriteLine($"Link:  {result.Link}");
            WriteHorizontalRule();
        }

        // Search and return s results as TavilySearchResult items
        KernelSearchResults<object> fullResults = await textSearch.GetSearchResultsAsync(query, new() { Top = 4 });
        Console.WriteLine("\n--- Tavily Web Page Results ---\n");
        await foreach (TavilySearchResult result in fullResults.Results)
        {
            Console.WriteLine($"Name:            {result.Title}");
            Console.WriteLine($"Content:         {result.Content}");
            Console.WriteLine($"Url:             {result.Url}");
            Console.WriteLine($"RawContent:      {result.RawContent}");
            Console.WriteLine($"Score:           {result.Score}");
            WriteHorizontalRule();
        }
    }

    /// <summary>
    /// Show how to create a <see cref="TavilyTextSearch"/> and use it to perform a text search which returns an answer.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearchToGetAnAnswer()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch instance using Tavily search
        var textSearch = new TavilyTextSearch(apiKey: TestConfiguration.Tavily.ApiKey, options: new() { HttpClient = httpClient, IncludeAnswer = true });

        var query = "What is the Semantic Kernel?";

        // Search and return results as a string items
        KernelSearchResults<string> stringResults = await textSearch.SearchAsync(query, new() { Top = 1 });
        Console.WriteLine("--- String Results ---\n");
        await foreach (string result in stringResults.Results)
        {
            Console.WriteLine(result);
            WriteHorizontalRule();
        }
    }

    /// <summary>
    /// Show how to create a <see cref="TavilyTextSearch"/> and use it to perform a text search.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearchAndIncludeEverything()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch instance using Tavily search
        var textSearch = new TavilyTextSearch(
            apiKey: TestConfiguration.Tavily.ApiKey,
            options: new()
            {
                HttpClient = httpClient,
                IncludeRawContent = true,
                IncludeImages = true,
                IncludeImageDescriptions = true,
                IncludeAnswer = true,
            });

        var query = "What is the Semantic Kernel?";

        // Search and return s results as TavilySearchResult items
        KernelSearchResults<object> fullResults = await textSearch.GetSearchResultsAsync(query, new() { Top = 4, Skip = 0 });
        Console.WriteLine("\n--- Tavily Web Page Results ---\n");
        await foreach (TavilySearchResult result in fullResults.Results)
        {
            Console.WriteLine($"Name:            {result.Title}");
            Console.WriteLine($"Content:         {result.Content}");
            Console.WriteLine($"Url:             {result.Url}");
            Console.WriteLine($"RawContent:      {result.RawContent}");
            Console.WriteLine($"Score:           {result.Score}");
            WriteHorizontalRule();
        }
    }

    /// <summary>
    /// Show how to create a <see cref="TavilyTextSearch"/> with a custom mapper and use it to perform a text search.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearchWithACustomMapperAsync()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch instance using Tavily search
        var textSearch = new TavilyTextSearch(apiKey: TestConfiguration.Tavily.ApiKey, options: new()
        {
            HttpClient = httpClient,
            StringMapper = new TestTextSearchStringMapper(),
        });

        var query = "What is the Semantic Kernel?";

        // Search with TextSearchResult textResult type
        KernelSearchResults<string> stringResults = await textSearch.SearchAsync(query, new() { Top = 2 });
        Console.WriteLine("--- Serialized JSON Results ---");
        await foreach (string result in stringResults.Results)
        {
            Console.WriteLine(result);
            WriteHorizontalRule();
        }
    }

    /// <summary>
    /// Show how to create a <see cref="TavilyTextSearch"/> with a custom mapper and use it to perform a text search.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearchWithAnIncludeDomainFilterAsync()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch instance using Tavily search
        var textSearch = new TavilyTextSearch(apiKey: TestConfiguration.Tavily.ApiKey, options: new()
        {
            HttpClient = httpClient,
            StringMapper = new TestTextSearchStringMapper(),
        });

        var query = "What is the Semantic Kernel?";

        // Search with TextSearchResult textResult type
        TextSearchOptions searchOptions = new() { Top = 4, Filter = new TextSearchFilter().Equality("include_domain", "devblogs.microsoft.com") };
        KernelSearchResults<TextSearchResult> textResults = await textSearch.GetTextSearchResultsAsync(query, searchOptions);
        Console.WriteLine("--- Microsoft Developer Blogs Results ---");
        await foreach (TextSearchResult result in textResults.Results)
        {
            Console.WriteLine(result.Link);
            WriteHorizontalRule();
        }
    }
#pragma warning restore CS0618

    /// <summary>
    /// Show how to use enhanced LINQ filtering with TavilyTextSearch for type-safe searches with Title.Contains() support.
    /// </summary>
    [Fact]
    public async Task UsingTavilyTextSearchWithLinqFilteringAsync()
    {
        // Create a logging handler to output HTTP requests and responses
        LoggingHandler handler = new(new HttpClientHandler(), this.Output);
        using HttpClient httpClient = new(handler);

        // Create an ITextSearch<TavilyWebPage> instance for type-safe LINQ filtering
        ITextSearch<TavilyWebPage> textSearch = new TavilyTextSearch(apiKey: TestConfiguration.Tavily.ApiKey, options: new() { HttpClient = httpClient });

        var query = "Semantic Kernel AI";

        // Example 1: Filter results by title content using Contains
        Console.WriteLine("——— Example 1: Title Contains Filter ———\n");
        var titleContainsOptions = new TextSearchOptions<TavilyWebPage>
        {
            Top = 2,
            Filter = page => page.Title != null && page.Title.Contains("Kernel")
        };
        var titleResults = await textSearch.SearchAsync(query, titleContainsOptions);
        await foreach (string result in titleResults.Results)
        {
            Console.WriteLine(result);
            WriteHorizontalRule();
        }

        // Example 2: Compound AND filtering (title contains + NOT contains)
        Console.WriteLine("\n——— Example 2: Compound Filter (Title Contains + Exclusion) ———\n");
        var compoundOptions = new TextSearchOptions<TavilyWebPage>
        {
            Top = 2,
            Filter = page => page.Title != null && page.Title.Contains("AI") &&
                           page.Content != null && !page.Content.Contains("deprecated")
        };
        var compoundResults = await textSearch.SearchAsync(query, compoundOptions);
        await foreach (string result in compoundResults.Results)
        {
            Console.WriteLine(result);
            WriteHorizontalRule();
        }

        // Example 3: Get full results with LINQ filtering
        Console.WriteLine("\n——— Example 3: Full Results with Title Filter ———\n");
        var fullResultsOptions = new TextSearchOptions<TavilyWebPage>
        {
            Top = 2,
            Filter = page => page.Title != null && page.Title.Contains("Semantic")
        };
        var fullResults = await textSearch.GetSearchResultsAsync(query, fullResultsOptions);
        await foreach (TavilyWebPage page in fullResults.Results)
        {
            Console.WriteLine($"Title: {page.Title}");
            Console.WriteLine($"Content: {page.Content}");
            Console.WriteLine($"URL: {page.Url}");
            Console.WriteLine($"Score: {page.Score}");
            WriteHorizontalRule();
        }

        // Example 4: Complex compound filtering with multiple conditions
        Console.WriteLine("\n——— Example 4: Complex Compound Filter (Title + Content + URL) ———\n");
        var complexOptions = new TextSearchOptions<TavilyWebPage>
        {
            Top = 2,
            Filter = page => page.Title != null && page.Title.Contains("Kernel") &&
                           page.Content != null && page.Content.Contains("AI") &&
                           page.Url != null && page.Url.ToString().Contains("microsoft")
        };
        var complexResults = await textSearch.GetSearchResultsAsync(query, complexOptions);
        await foreach (TavilyWebPage page in complexResults.Results)
        {
            Console.WriteLine($"Title: {page.Title}");
            Console.WriteLine($"URL: {page.Url}");
            Console.WriteLine($"Score: {page.Score}");
            WriteHorizontalRule();
        }
    }

    #region private
    /// <summary>
    /// Test mapper which converts an arbitrary search result to a string using JSON serialization.
    /// </summary>
    private sealed class TestTextSearchStringMapper : ITextSearchStringMapper
    {
        /// <inheritdoc />
        public string MapFromResultToString(object result)
        {
            return JsonSerializer.Serialize(result);
        }
    }
    #endregion
}
