SBU-Hackathon/app/formfile/generate-idea.ts

import { GoogleGenerativeAI } from "@google/generative-ai";
import type { NextApiRequest, NextApiResponse } from 'next';

// Initialize the Gemini Client with your API Key
// IMPORTANT: The GEMINI_API_KEY should be an environment variable.
const apiKey = process.env.GEMINI_API_KEY;

if(!apiKey){
    throw new Error("api key not found");
}
const ai = new GoogleGenerativeAI(apiKey);



// Define the handler function for the API route
export default async function handler(
  req: NextApiRequest,
  res: NextApiResponse
) {
  // Only allow POST requests
  if (req.method !== 'POST') {
    return res.status(405).json({ error: 'Method Not Allowed' });
  }

  // Destructure the data sent from the frontend
  let { prompt, settings } = req.body;
  
  // Basic validation
  if (!prompt || typeof prompt !== 'string') {
    return res.status(400).json({ error: 'Prompt is required' });
  }

  // Modify the prompt to instruct the AI to generate only the game, concept, and track
  prompt = `You're going to fill out a card base off the document.
  you will Generate the project short title. 
  you will list out the track you used  ${prompt}`;

  try {
    // 1. Call the Gemini API using the correct method signature
    
    const model = settings?.model || 'gemini-2.5-flash-lite';
    const generativeModel = ai.getGenerativeModel({ model });

   // 1. Define the generation configuration object
    const generationConfig = {
      temperature: settings?.temperature || 0.9,
      // The SDK property name for system instructions is 'systemInstruction'
      systemInstruction: settings?.sysTemInstructions, 
    };

    // 2. Call generateContent with the single GenerateContentRequest object.
    const result = await generativeModel.generateContent({
      // contents must be an array of Content objects
      contents: [{
        role: "user", 
        parts: [{ text: prompt }]
      }], 
      
      // The fixed property name that resolves the TypeScript error
      generationConfig: generationConfig, 
    });

    // 2. Extract the response text
    // The result object now contains a property 'text' at the top level for simple text generation
    const geminiResponseText = result.response.text();    res.status(200).json({ response: geminiResponseText });

  } catch (error) {
    console.error("Gemini API Error:", error);
    res.status(500).json({ error: 'Failed to generate idea from AI.' });
  }
}