const aiFeedbackOnReport = async (req, res) => {
  // const fetch = require('node-fetch');
  const url = process.env.AI_API_ENDOINT;
  const api_key = process.env.AI_API_KEY;
  const payload = {
    "model": "gpt-3.5-turbo-16k",
    "messages": [{ "role": "user", 
      "content": JSON.stringify(req.body.grades) + "   -  first dataset(grades) " + JSON.stringify(req.body.suggested) + "   -  second dataset(suggested actions) " + req.body.instruction }]
  }
  try {
    const apiResponse = await fetch(url, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${api_key}`,
        // 'Authorization': api_key,
      },
      body: JSON.stringify(payload)
    });

    if (!apiResponse.ok) {
      return res.status(apiResponse.status).send({ error: 'API response was not ok'+res });
    }

    const data = await apiResponse.json();

    res.send(data);

  } catch (error) {
    console.error('Error fetching data:', error);
    res.status(500).send({ error: 'Something went wrong with the fetch operation' });
  }
}

module.exports = aiFeedbackOnReport;