Delete src/routes/api/aiEvaluateImageToStar.js

src/routes/api/aiEvaluateImageToStar.js

@@ -1,87 +0,0 @@
-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;