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 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());

        var prompt = "Extract the recipe from this image. Return Title and Description.";
        
        // Use the base Part class with property initializers
        var parts = new List<Part>
        {
            new Part { Text = prompt },
            new Part { InlineData = new InlineData { MimeType = "image/png", Data = base64Image } }
        };

        // Use the default constructor and set properties
        var content = new Content
        {
            Role = Role.User,
            Parts = parts
        };

        var request = new GenerateContentRequest
        {
            Contents = new List<Content> { content }
        };

        // Casting to solve the ambiguity error we saw earlier
        var response = await model.GenerateContent((GenerateContentRequest)request);

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