using Seasoned.Backend.DTOs;
using Mscc.GenerativeAI; // Add this!

namespace Seasoned.Backend.Services;

public class RecipeService : IRecipeService
{
    private readonly string _apiKey;

    public RecipeService(IConfiguration config)
    {
        // Get the key from your user-secrets
        _apiKey = config["GeminiApiKey"] ?? throw new ArgumentNullException("API Key missing");
    }

    public async Task<RecipeResponseDto> ParseRecipeImageAsync(IFormFile image)
    {
        // 1. Initialize Gemini
        var googleAI = new GoogleAI(_apiKey);
        var model = googleAI.GenerativeModel(Model.Gemini15Flash);

        // 2. Convert the uploaded image to a format Gemini understands
        using var ms = new MemoryStream();
        await image.CopyToAsync(ms);
        var base64Image = Convert.ToBase64String(ms.ToArray());

        // 3. The "Magic" Prompt
        var prompt = "Extract the recipe from this image. Return ONLY a JSON object with: title (string), description (string), ingredients (array of strings), and instructions (array of strings).";
        
        // 4. Call Gemini
        var response = await model.GenerateContent(new List<Part> {
            new TextPart { Text = prompt },
            new InlineDataPart { MimeType = "image/jpeg", Data = base64Image }
        });

        // 5. Parse the AI's response (simplified for now)
        var aiText = response.Text;
        
        // For now, let's return the AI text in our DTO
        return new RecipeResponseDto
        {
            Title = "AI Decoded Recipe",
            Description = aiText, // The raw AI response
            Ingredients = new List<string> { "Check description for details" }
        };
    }
}