const AWS = require('aws-sdk');
const axios = require('axios');
const FormData = require('form-data');
const mongoose = require('mongoose');
const Game = require('../../models/gameModel');

const aiEvaluateImageToStar = async (req, res) => {
  try {
    const { userId, gameName, gameID, gameTime, gameStar, screenShot } = req.body;
    if (!screenShot) {
      return res.status(400).json({ error: 'Screenshot is required' });
    }

      const formData = new FormData();
      formData.append('image', screenShot);
      const screenshotUrl = await axios.post('https://teachertrainingchennai.in/api/uploadBase64/', formData, {
        headers: {
          'Content-Type': 'multipart/form-data',
        },
      })
        // .then(response => {
        //   console.log('Response:', response.data);
        // })
        // .catch(error => {
        //   console.error('Error:', error);
        // });
        console.log(screenshotUrl.data.filePath)
    const openAiPayload = {
      model: 'gpt-4o-mini',
      messages: [
        {
          role: 'user',
          content: [
            {
              type: 'text',
              text: 'The coloring was done by a 5-year-old kid. Give a score between 3 to 10 in JSON format.',
            },
            {
              type: 'image_url',
              image_url: {
                url: screenshotUrl.data.filePath,
              },
            },
          ],
        },
      ],
      max_tokens: 300,
    };

    // console.log('AAAAAA')
    const openAiResponse = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      openAiPayload,
      {
        headers: {
          'Content-Type': 'application/json',
          Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
        },
      }
    );
const rResp=openAiResponse.data.choices[0].message;
const cleanContent = rResp.content.replace(/```json|```/g, '').trim();
const parsedScore = JSON.parse(cleanContent);
// console.log(parsedScore); // { score: 8 }
    const gameData = new Game({
      gameName,
      userId,
      gameID,
      gameTime,
      score: parsedScore.score || 'N/A',
      gameStar,
      screenshotUrl:screenshotUrl.data.filePath,
    });

    await gameData.save();

    return res.status(200).json({
      message: 'Game data saved successfully',
      data: gameData,
    });
  } catch (error) {
    console.error('Error:', error.message);
    return res.status(500).json({ error: 'Something went wrong' });
  }
};

module.exports = aiEvaluateImageToStar;