using System.Net;

namespace FaceCheckAPI
{
    public class SearchItem
    {
        public string? guid { get; set; }
        public int score { get; set; }
        public string? base64 { get; set; }
        public string? url { get;  set; }
        public int index { get; set; } = -1;
    }

    public class Search_Results
    {
        public List? items { get; set; }
    }

    public class InputImage
    {
        public string? base64 { get; set; }
        public string? id_pic { get; set; }
    }

    public class BrowserJsonResponse
    {
        public string? id_search { get; set; }
        public string? message { get; set; }
        public int? progress { get; set; }
        public string? error { get; set; }
        public string? code { get; set; }
        public Search_Results? output { get; set; }
        public List? input { get; set; }
    }

    public class FaceCheckAPI
    {
        static bool TESTING_MODE = true;
        static string APITOKEN = "YOUR_API_TOKEN"; // Your API Token
        static string site = "https://facecheck.id";

        static readonly HttpClient client = new HttpClient();
        static FaceCheckAPI()
        {
            client.DefaultRequestHeaders.TryAddWithoutValidation("Authorization", APITOKEN);
        }
        public static async Task?> Search_by_FaceAsync(string image_file)
        {
            if (TESTING_MODE) Console.WriteLine("****** TESTING MODE search, results are bad, but credits are NOT deducted ******");

            using (var content = new MultipartFormDataContent("Upload----" + DateTime.Now.Ticks.ToString("x")))
            {
                using (var ImageStream = new FileStream(image_file, FileMode.Open, FileAccess.Read, FileShare.None))
                {
                    content.Add(new StreamContent(ImageStream), "images", Path.GetFileName(image_file));
                    using (var message = await client.PostAsync(site + "/api/upload_pic", content))
                    {
                        var input = await message.Content.ReadAsStringAsync();
                        BrowserJsonResponse? a = System.Text.Json.JsonSerializer.Deserialize(input);
                        if (a.error != null) throw new Exception(a.error);
                        Console.WriteLine(a.message + " id_search=" + a.id_search);

                        while (true)
                        {
                            BrowserJsonResponse? b = await PostSearch(Convert.ToString(a.id_search));
                            if (b.error != null) throw new Exception(b.error);
                            if (b.output != null) return b.output.items;
                            Console.WriteLine($"{b.message} Progress: {b.progress}%");
                            await Task.Delay(1000);
                        }
                    }
                }
            }
        }

        private static async Task PostSearch(string? id_search)
        {
            using (var _Body = new StringContent($"{{\"id_search\":\"{id_search}\",\"with_progress\":true,\"status_only\":false,\"demo\":TESTING_MODE}}"))
            {
                _Body.Headers.ContentType = new System.Net.Http.Headers.MediaTypeHeaderValue("application/json");
                using (var msg = await client.PostAsync(site + "/api/search", _Body))
                {
                    msg.EnsureSuccessStatusCode();
                    string json = await msg.Content.ReadAsStringAsync();
                    return System.Text.Json.JsonSerializer.Deserialize(json);
                }
            }
        }
    }

    internal class Program
    {
        static async Task Main(string[] args)
        {
            try
            {
                //download a test image 
                using (WebClient webClient = new WebClient())
                    webClient.DownloadFile("https://www.indiewire.com/wp-content/uploads/2018/01/daniel-craig.jpg?w=300", "daniel.jpg");
                

                //Search the Internet by face
                var images = await FaceCheckAPI.Search_by_FaceAsync("daniel.jpg");
                if (images != null)
                    foreach (SearchItem im in images) //Iterate search results
                    {
                        var score = im.score;     // 0 to 100 score how well the face is matching found image
                        var url = im.url;         // url to webpage where the person was found
                        var image_base64 = im.base64;     // thumbnail image encoded as base64 string
                        //convert to binary .WEBP image
                        byte[] webp_image = Convert.FromBase64String(image_base64.Substring(image_base64.IndexOf(' ') + 1));
                        Console.WriteLine($"{score} {url} {image_base64?.Substring(0, 32)}...");
                    }
            }
            catch (Exception ex)
            {
                Console.WriteLine("ERROR: " + ex.Message);
            }
            Console.ReadKey();
        }
    }
}