Add src/routes/api/aiEvaluateImageToStar.js

src/routes/api/aiEvaluateImageToStar.js

@@ -0,0 +1,88 @@
+const AWS = require('aws-sdk');
+const axios = require('axios');
+const mongoose = require('mongoose');
+const Game = require('../../models/gameModel'); // Ensure this path matches your project structure
+
+const aiEvaluateImageToStar = async (req, res) => {
+  try {
+    const { childId, 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 1 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}`,
+        },
+      }
+    );
+
+    // Extract the score from OpenAI's response
+    const scoreResponse = openAiResponse.data.choices[0].message.content;
+    const parsedScore = JSON.parse(scoreResponse);
+
+console.log(openAiResponse)
+    const gameData = new Game({
+      gameName,
+      childId,
+      gameID,
+      gameTime,
+      score: parsedScore.score || 'N/A', // Adjust key to match OpenAI response
+      gameStar: parsedScore.score || 'N/A',
+      screenshotUrl,
+    });
+
+    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;