aiEvaluateImageToScore

src/routes/api/aiEvaluateImageToScore.js

@@ -1,15 +1,103 @@
 const AWS = require('aws-sdk');
-const FormData = require('form-data');
+const axios = require('axios');
+const mongoose = require('mongoose');
+const Game = require('./Game'); // Ensure this path matches your project structure
 
 const aiEvaluateImageToScore = async (req, res) => {
-  AWS.config.update({
+  try {
-    region: 'ap-south-1',
+    // Destructure data from req.body
-    accessKeyId: process.env.AWS_ACCESS_KEY_ID,
+    const { userId, gameName, gameID, gameTime, gameStar, screenShot } = req.body;
-    secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
-  });
 
-  
+    if (!screenShot) {
-  
+      return res.status(400).json({ error: 'Screenshot is required' });
+    }
+
+    // Decode the base64 image
+    const buffer = Buffer.from(screenShot, 'base64');
+    const fileName = `${Date.now()}-${gameID}.png`; // Unique filename
+    const bucketName = process.env.S3_BUCKET_NAME;
+
+    // Initialize S3
+    AWS.config.update({
+      region: 'ap-south-1',
+      accessKeyId: process.env.AWS_ACCESS_KEY_ID,
+      secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
+    });
+    const s3 = new AWS.S3();
+
+    // Upload the image to S3
+    const s3Params = {
+      Bucket: bucketName,
+      Key: `screenshots/${fileName}`,
+      Body: buffer,
+      ContentType: 'image/png',
+      ACL: 'public-read', // Make the file publicly accessible
+    };
+
+    const s3UploadResponse = await s3.upload(s3Params).promise();
+    const screenshotUrl = s3UploadResponse.Location;
+
+    // Prepare the OpenAI API request
+    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,
+              },
+            },
+          ],
+        },
+      ],
+      max_tokens: 300,
+    };
+
+    // Call the OpenAI API
+    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);
+
+    // Save to MongoDB
+    const gameData = new Game({
+      gameName,
+      userId,
+      gameID,
+      gameTime,
+      score: parsedScore.score || 'N/A', // Adjust key to match OpenAI response
+      gameStar,
+      screenshotUrl,
+    });
+
+    await gameData.save();
+
+    // Respond with the saved data
+    return res.status(201).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 = aiEvaluateImageToScore;