using Seasoned.Backend.DTOs;
using Mscc.GenerativeAI;

namespace Seasoned.Backend.Services;

public class RecipeService : IRecipeService
{
    private readonly string _apiKey;

    public RecipeService(IConfiguration config)
    {
        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
    }

    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
    {
        var googleAI = new Mscc.GenerativeAI.GoogleAI(_apiKey);
        
        // Explicitly calling Gemini 2.5 Flash
        var model = googleAI.GenerativeModel(Mscc.GenerativeAI.Model.Gemini25Flash);

        using var ms = new MemoryStream();
        await image.CopyToAsync(ms);
        var base64Image = Convert.ToBase64String(ms.ToArray());

        var prompt = "Extract the recipe from this image. Return Title and Description.";

        // Using full namespace paths for all request objects
        var request = new Mscc.GenerativeAI.GenerateContentRequest
        {
            Contents = new List<Mscc.GenerativeAI.Content>
            {
                new Mscc.GenerativeAI.Content
                {
                    Role = Mscc.GenerativeAI.Role.User,
                    Parts = new List<Mscc.GenerativeAI.Part>
                    {
                        new Mscc.GenerativeAI.TextPart { Text = prompt },
                        new Mscc.GenerativeAI.InlineDataPart { MimeType = "image/png", Data = base64Image }
                    }
                }
            }
        };

        var response = await model.GenerateContent(request);

        return new RecipeResponseDto
        {
            Title = "Gemini 2.5 Result",
            Description = response.Text ?? "No text returned",
            Ingredients = new List<string>(),
            Instructions = new List<string>()
        };
    }
}