using System;
using System.Collections.Generic;
using System.IO;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using AIImages.Models;
using Newtonsoft.Json;
using Verse;

namespace AIImages.Services
{
    /// <summary>
    /// Сервис для работы с Stable Diffusion API (AUTOMATIC1111 WebUI)
    /// </summary>
    public class StableDiffusionApiService : IStableDiffusionApiService
    {
        private readonly HttpClient httpClient;
        private readonly string saveFolderPath;

        public StableDiffusionApiService(string savePath = "AIImages/Generated")
        {
            httpClient = new HttpClient { Timeout = TimeSpan.FromMinutes(5) };

            // Определяем путь для сохранения
            saveFolderPath = Path.Combine(GenFilePaths.SaveDataFolderPath, savePath);

            // Создаем папку, если не существует
            if (!Directory.Exists(saveFolderPath))
            {
                Directory.CreateDirectory(saveFolderPath);
            }
        }

        public async Task<GenerationResult> GenerateImageAsync(GenerationRequest request)
        {
            try
            {
                Log.Message(
                    $"[AI Images] Starting image generation with prompt: {request.Prompt.Substring(0, Math.Min(50, request.Prompt.Length))}..."
                );

                // Формируем JSON запрос для AUTOMATIC1111 API
                var apiRequest = new
                {
                    prompt = request.Prompt,
                    negative_prompt = request.NegativePrompt,
                    steps = request.Steps,
                    cfg_scale = request.CfgScale,
                    width = request.Width,
                    height = request.Height,
                    sampler_name = request.Sampler,
                    seed = request.Seed,
                    save_images = false,
                    send_images = true,
                };

                string jsonRequest = JsonConvert.SerializeObject(apiRequest);
                var content = new StringContent(jsonRequest, Encoding.UTF8, "application/json");

                // Отправляем запрос
                string endpoint = $"{request.Model}/sdapi/v1/txt2img";
                HttpResponseMessage response = await httpClient.PostAsync(endpoint, content);

                if (!response.IsSuccessStatusCode)
                {
                    string errorContent = await response.Content.ReadAsStringAsync();
                    Log.Error(
                        $"[AI Images] API request failed: {response.StatusCode} - {errorContent}"
                    );
                    return GenerationResult.Failure($"API Error: {response.StatusCode}");
                }

                string jsonResponse = await response.Content.ReadAsStringAsync();
                var apiResponse = JsonConvert.DeserializeObject<Txt2ImgResponse>(jsonResponse);

                if (apiResponse?.images == null || apiResponse.images.Length == 0)
                {
                    return GenerationResult.Failure("No images returned from API");
                }

                // Декодируем изображение из base64
                byte[] imageData = Convert.FromBase64String(apiResponse.images[0]);

                // Сохраняем изображение
                string fileName = $"pawn_{DateTime.Now:yyyyMMdd_HHmmss}.png";
                string fullPath = Path.Combine(saveFolderPath, fileName);
                await File.WriteAllBytesAsync(fullPath, imageData);

                Log.Message($"[AI Images] Image generated successfully and saved to: {fullPath}");

                return GenerationResult.SuccessResult(imageData, fullPath, request);
            }
            catch (TaskCanceledException)
            {
                return GenerationResult.Failure("Request timeout. Generation took too long.");
            }
            catch (HttpRequestException ex)
            {
                Log.Error($"[AI Images] HTTP error: {ex.Message}");
                return GenerationResult.Failure($"Connection error: {ex.Message}");
            }
            catch (Exception ex)
            {
                Log.Error($"[AI Images] Unexpected error: {ex.Message}\n{ex.StackTrace}");
                return GenerationResult.Failure($"Error: {ex.Message}");
            }
        }

        public async Task<bool> CheckApiAvailability(string apiEndpoint)
        {
            try
            {
                string endpoint = $"{apiEndpoint}/sdapi/v1/sd-models";
                HttpResponseMessage response = await httpClient.GetAsync(endpoint);
                return response.IsSuccessStatusCode;
            }
            catch (Exception ex)
            {
                Log.Warning($"[AI Images] API check failed: {ex.Message}");
                return false;
            }
        }

        public async Task<List<string>> GetAvailableModels(string apiEndpoint)
        {
            try
            {
                string endpoint = $"{apiEndpoint}/sdapi/v1/sd-models";
                HttpResponseMessage response = await httpClient.GetAsync(endpoint);

                if (!response.IsSuccessStatusCode)
                    return new List<string>();

                string jsonResponse = await response.Content.ReadAsStringAsync();
                var models = JsonConvert.DeserializeObject<List<SdModel>>(jsonResponse);

                var modelNames = new List<string>();
                if (models != null)
                {
                    foreach (var model in models)
                    {
                        modelNames.Add(model.title ?? model.model_name);
                    }
                }

                Log.Message($"[AI Images] Found {modelNames.Count} models");
                return modelNames;
            }
            catch (Exception ex)
            {
                Log.Error($"[AI Images] Failed to load models: {ex.Message}");
                return new List<string>();
            }
        }

        public async Task<List<string>> GetAvailableSamplers(string apiEndpoint)
        {
            try
            {
                string endpoint = $"{apiEndpoint}/sdapi/v1/samplers";
                HttpResponseMessage response = await httpClient.GetAsync(endpoint);

                if (!response.IsSuccessStatusCode)
                    return GetDefaultSamplers();

                string jsonResponse = await response.Content.ReadAsStringAsync();
                var samplers = JsonConvert.DeserializeObject<List<SdSampler>>(jsonResponse);

                var samplerNames = new List<string>();
                if (samplers != null)
                {
                    foreach (var sampler in samplers)
                    {
                        samplerNames.Add(sampler.name);
                    }
                }

                Log.Message($"[AI Images] Found {samplerNames.Count} samplers");
                return samplerNames;
            }
            catch (Exception ex)
            {
                Log.Warning($"[AI Images] Failed to load samplers: {ex.Message}");
                return GetDefaultSamplers();
            }
        }

        private List<string> GetDefaultSamplers()
        {
            return new List<string>
            {
                "Euler a",
                "Euler",
                "LMS",
                "Heun",
                "DPM2",
                "DPM2 a",
                "DPM++ 2S a",
                "DPM++ 2M",
                "DPM++ SDE",
                "DPM fast",
                "DPM adaptive",
                "LMS Karras",
                "DPM2 Karras",
                "DPM2 a Karras",
                "DPM++ 2S a Karras",
                "DPM++ 2M Karras",
                "DPM++ SDE Karras",
                "DDIM",
                "PLMS",
            };
        }

        // Вспомогательные классы для десериализации JSON ответов
#pragma warning disable S3459, S1144 // Properties set by JSON deserializer
        private sealed class Txt2ImgResponse
        {
            public string[] images { get; set; }
        }

        private sealed class SdModel
        {
            public string title { get; set; }
            public string model_name { get; set; }
        }

        private sealed class SdSampler
        {
            public string name { get; set; }
        }
#pragma warning restore S3459, S1144
    }
}