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)
    {
        // Use the explicit string for the model to bypass the "Model.Gemini25Flash" error
        var googleAI = new GoogleAI(_apiKey);
        var model = googleAI.GenerativeModel("gemini-2.5-flash"); 

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

        // Use a dynamic request structure which the library supports for newer models
        var prompt = "Extract the recipe from this image. Return Title and Description.";
        
        // This is a more robust way to send the request in the latest version
        var response = await model.GenerateContent(new()
        {
            Contents = new List<Content>
            {
                new Content
                {
                    Parts = new List<Part>
                    {
                        new() { Text = prompt },
                        new() { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
                    }
                }
            }
        });

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