curl sample

Reviewed-on: #26

.dockerignore

@@ -1,3 +1,6 @@
 node_modules
 .git
 .gitignore
+**/docker-compose*
+**/compose.y*ml
+**/Dockerfile*

.gitignore

@@ -3,7 +3,7 @@ node_modules
 
 # yarn error logs
 yarn-error.log
-
+yarn.lock
 # Environment varibales
 .env*
 !.env*.example

.husky/post-checkout

@@ -1,4 +0,0 @@
-#!/bin/sh
-. "$(dirname "$0")/_/husky.sh"
-
-yarn install

.husky/post-commit

@@ -1,4 +0,0 @@
-#!/bin/sh
-. "$(dirname "$0")/_/husky.sh"
-
-git status

.husky/pre-commit

@@ -1,4 +0,0 @@
-#!/bin/sh
-. "$(dirname "$0")/_/husky.sh"
-
-yarn lint-staged

Dockerfile

@@ -1,15 +1,26 @@
-FROM node:alpine
+# Use an official Node.js runtime as a parent image
+FROM node:20-alpine
 
-RUN mkdir -p /usr/src/node-app && chown -R node:node /usr/src/node-app
+# Set the working directory inside the container
+WORKDIR /app
 
-WORKDIR /usr/src/node-app
+# Copy package files and set ownership
+COPY --chown=node:node package*.json ./
 
-COPY package.json yarn.lock ./
+# Install dependencies
-
+RUN npm install --omit=dev
-USER node
-
-RUN yarn install --pure-lockfile
 
+# Copy the rest of the app's source code with correct ownership
 COPY --chown=node:node . .
 
+# Use a non-root user for better security
+USER node
+
+# Expose the application port
 EXPOSE 3000
+
+# Set environment variables (optional)
+ENV NODE_ENV=production
+
+# Start the application
+CMD ["npm", "run", "start"]

docker-compose.yml

@@ -1,32 +1,31 @@
-version: '3'
-
 services:
-  node-app:
+  iimtt_api:
     build: .
-    image: node-app
+    image: iimtt_api
-    environment:
+    # environment:
-      - MONGODB_URL=mongodb://mongodb:27017/node-boilerplate
+    #   - MONGODB_URL=mongodb://mongodb:27017/node-boilerplate
     ports:
-      - '3000:3000'
+      - '5174:5174'
-    depends_on:
+    # depends_on:
-      - mongodb
+    #   - mongodb
     volumes:
-      - .:/usr/src/node-app
+      - .:/usr/src/iimtt_api
-    networks:
+    # networks:
-      - node-network
+    #   - host
+#       - node-network
 
-  mongodb:
+#   mongodb:
-    image: mongo:4.2.1-bionic
+#     image: mongo:4.2.1-bionic
-    ports:
+#     ports:
-      - '27017:27017'
+#       - '27017:27017'
-    volumes:
+#     volumes:
-      - dbdata:/data/db
+#       - dbdata:/data/db
-    networks:
+#     networks:
-      - node-network
+#       - node-network
 
-volumes:
+# volumes:
-  dbdata:
+#   dbdata:
 
-networks:
+# networks:
-  node-network:
+#   node-network:
-    driver: bridge
+#     driver: bridge

game_links.txt

@@ -0,0 +1,22 @@
+/guided-tracing/A/
+
+game_drawing    /drawing/?id=
+game_drawing_v2 /drawing/v2/?id=
+game_drawing_v3 /drawing/v3/?id=
+drawing_phonics /drawing/drawing_phonics/?id=
+game_tick_variant1  /tick/v1/?id=
+game_tick_variant2  /tick/v2/?id=
+game_tick_varient3  /tick/v3/?id=
+game_cross_varient1 /cross/v1/?id=
+game_cross_varient2 /cross/v2/?id=
+game_cross_varient3 /cross/v3/?id=
+game_drag   /drag/?id=
+game_drag_v2    /drag/v2/?id=
+game_drag_v3    /drag/v3/?id=    // we do't use this version
+game_drag_v4    /drag/v4/?id=
+game_tick_v3_phonics    /tick/tick_phonics_v1/?id=
+tick_phonics_option_6   /tick/tick_phonics_v2/?id=
+tick_phonics_option_9   /tick/tick_phonics_v3/?id=
+drag_drop_phonics   /drag/dragdrop_phonics/?id=
+drag_phonics /drag/match_phonics/?id=
+cross_phonics_option_9  /cross/cross_phonics_v2/?id=

package.json

@@ -1,6 +1,6 @@
 {
   "name": "iimttapi",
-  "version": "0.0.1",
+  "version": "1.0.0",
   "description": "Create a Node.js app for building production-ready RESTful APIs using Express, by running one command",
   "bin": "bin/createNodejsApp.js",
   "main": "src/index.js",
@@ -9,7 +9,8 @@
     "node": ">=12.0.0"
   },
   "scripts": {
-    "start": "pm2 start ecosystem.config.json --no-daemon",
+    "start": "NODE_ENV=production node src/index.js",
+    "start:pm2": "pm2 start ecosystem.config.json --no-daemon",
     "dev": "cross-env NODE_ENV=development nodemon src/index.js",
     "test": "jest -i --colors --verbose --detectOpenHandles",
     "test:watch": "jest -i --watchAll",
@@ -21,8 +22,7 @@
     "prettier:fix": "prettier --write **/*.js",
     "docker:prod": "docker-compose -f docker-compose.yml -f docker-compose.prod.yml up",
     "docker:dev": "docker-compose -f docker-compose.yml -f docker-compose.dev.yml up",
-    "docker:test": "docker-compose -f docker-compose.yml -f docker-compose.test.yml up",
+    "docker:test": "docker-compose -f docker-compose.yml -f docker-compose.test.yml up"
-    "prepare": "husky install"
   },
   "keywords": [
     "node",
@@ -48,6 +48,7 @@
   ],
   "dependencies": {
     "aws-sdk": "^2.1669.0",
+    "axios": "^1.7.7",
     "bcryptjs": "^2.4.3",
     "body-parser": "^1.20.2",
     "compression": "^1.7.4",
@@ -57,15 +58,21 @@
     "express": "^4.17.1",
     "express-mongo-sanitize": "^2.0.0",
     "express-rate-limit": "^5.0.0",
+    "form-data": "^4.0.1",
+    "formdata-node": "^6.0.3",
     "helmet": "^4.1.0",
     "http-status": "^1.4.0",
+    "install": "^0.13.0",
     "joi": "^17.3.0",
     "jsonwebtoken": "^8.5.1",
+    "mariadb": "^3.4.0",
     "moment": "^2.24.0",
-    "mongoose": "^5.7.7",
+    "mongoose": "^8.7.1",
     "morgan": "^1.9.1",
     "mysql2": "^3.11.0",
+    "node-fetch": "^3.3.2",
     "nodemailer": "^6.3.1",
+    "npm": "^11.0.0",
     "passport": "^0.4.0",
     "passport-jwt": "^4.0.0",
     "pm2": "^5.1.0",
@@ -85,7 +92,6 @@
     "eslint-plugin-prettier": "^3.1.1",
     "eslint-plugin-security": "^1.4.0",
     "faker": "^5.1.0",
-    "husky": "7.0.4",
     "jest": "^26.0.1",
     "lint-staged": "^11.0.0",
     "node-mocks-http": "^1.8.0",

src/config/config.js

@@ -38,7 +38,7 @@ module.exports = {
   mongoose: {
     url: envVars.MONGODB_URL + (envVars.NODE_ENV === 'test' ? '-test' : ''),
     options: {
-      useCreateIndex: true,
+      // useCreateIndex: true,
       useNewUrlParser: true,
       useUnifiedTopology: true,
     },

src/models/gameModel.js

@@ -0,0 +1,12 @@
+const mongoose = require("mongoose");
+
+const gameSchema = new mongoose.Schema({
+  gameName: { type: String, required: true },
+  childId: { type: String, required: true },
+  gameID: { type: String, required: true },
+  gameTime: { type: String, required: false },
+  gameStar: { type: Number },
+  screenshotUrl: { type: String },
+}, { collection: "gameData" });
+
+module.exports = mongoose.model("Game", gameSchema);

src/models/getGalleyImage.js

@@ -0,0 +1,15 @@
+const mongoose = require('mongoose');
+
+// Define the GalleryImage schema
+const galleryImageSchema = new mongoose.Schema({
+    childId: { type: mongoose.Schema.Types.ObjectId, ref: 'User', required: true },  // Assuming you have a User model
+    gameName: { type: String, required: true },
+    gameID: { type: String, required: true },
+    screenshotUrl: { type: String, required: true },
+    message: { type: String, default: 'Image received' },
+}, { timestamps: true });
+
+// Check if the model already exists in mongoose.models
+const GalleryImage = mongoose.models.GalleryImage || mongoose.model('GalleryImage', galleryImageSchema);
+
+module.exports = GalleryImage;

src/models/imageGallery.js

@@ -0,0 +1,10 @@
+const mongoose = require("mongoose");
+
+const galleryImageScema = new mongoose.Schema({
+  gameName: { type: String, required: true },
+  childId: { type: String, required: true },
+  gameID: { type: String, required: true },
+  screenshotUrl: { type: String }, 
+});
+
+module.exports = mongoose.model("GalleryImage", galleryImageScema);

src/module/base64ToImageFile.js

@@ -0,0 +1,21 @@
+const fs = require('fs');
+const path = require('path');
+
+function base64ToImageFile(base64, fileName) {
+    const matches = base64.match(/^data:(.+);base64,(.+)$/);
+    if (!matches) {
+        throw new Error("Invalid Base64 string");
+    }
+
+    const mimeType = matches[1];  // e.g., image/png
+    const base64Data = matches[2];  // Actual base64 string
+
+    const buffer = Buffer.from(base64Data, 'base64');
+    const filePath = path.join(__dirname, fileName);
+
+    fs.writeFileSync(filePath, buffer);
+
+    return filePath;
+}
+
+module.exports = { base64ToImageFile };

src/routes/api/aiEvaluateImageToScore.js

@@ -0,0 +1,103 @@
+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 aiEvaluateImageToScore = async (req, res) => {
+  try {
+    // Destructure data from req.body
+    const { userId, gameName, gameID, gameTime, gameStar, screenShot } = req.body;
+
+    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;

src/routes/api/aiEvaluateImageToStar.js

@@ -0,0 +1,94 @@
+const AWS = require('aws-sdk');
+const axios = require('axios');
+const mongoose = require('mongoose');
+const FormData = require('form-data'); 
+const Game = require('../../models/gameModel');
+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' });
+    }
+
+    // Upload screenshot
+    const formData = new FormData();
+    formData.append('image', screenShot);
+    
+    const screenshotUploadResponse = await axios.post('https://teachertrainingchennai.in/api/uploadBase64/', formData, {
+      headers: {
+        ...formData.getHeaders(),
+      },
+    });
+
+    const screenshotUrl = screenshotUploadResponse.data.filePath;
+    // The coloring was done by a 5-year-old kid. Give a score between 1 to 10 in JSON format.
+    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 the Respond ONLY with a valid JSON object like {"score": 7}. No extra text, no formatting, just raw JSON.',
+            },
+            {
+              type: 'image_url',
+              image_url: {
+                url: screenshotUrl,
+              },
+            },
+          ],
+        },
+      ],
+      max_tokens: 300,
+    };
+
+    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}`,
+        },
+      }
+    );
+
+
+    if (!openAiResponse.data.choices || openAiResponse.data.choices.length === 0) {
+      throw new Error('Invalid OpenAI response format');
+    }
+
+    let scoreResponse = openAiResponse.data.choices[0].message.content.trim();
+
+    if (scoreResponse.startsWith('```json')) {
+      scoreResponse = scoreResponse.replace(/```json/, '').replace(/```/, '').trim();
+    }
+
+
+    const parsedScore = JSON.parse(scoreResponse);
+    // console.log('Parsed Score:', parsedScore);
+
+    const gameData = new Game({
+      gameName,
+      childId,
+      gameID,
+      gameTime,
+      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: error.message || 'Something went wrong' });
+  }
+};
+
+module.exports = aiEvaluateImageToStar;

src/routes/api/aiFeedbackActionParent.js

@@ -0,0 +1,35 @@
+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;

src/routes/api/aiFeedbackOnReport.js

@@ -0,0 +1,34 @@
+const aiFeedbackOnReport = async (req, res) => {
+  // const fetch = require('node-fetch');
+  const url = process.env.AI_API_ENDOINT;
+  const api_key = process.env.OPENAI_KEY;
+  const payload = {
+    "model": "gpt-4o-mini",
+    "messages": [{ "role": "user", "content": JSON.stringify(req.body.score) + "   -  is the students report card. " + 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;

src/routes/api/aiFeedbackOnReportWithFollowup.js

@@ -0,0 +1,97 @@
+const aiFollowupQuestion = async (req, res) => {
+
+  const { MongoClient } = require('mongodb');
+  // const fetch = require('node-fetch');
+  const { v4: uuidv4 } = require('uuid');
+  const url = process.env.MONGODB_URL;
+  const dbName = process.env.MONGO_DB_NAME;
+  const client = new MongoClient(url);
+  
+  await client.connect();
+  const database = client.db(dbName); // Replace with your database name
+  const conversationsCollection = database.collection('conversations'); // Replace with your collection name
+  
+  async function fetchOpenAICompletion(prompt, messages, model = "gpt-3.5-turbo-16k", max_tokens = 600) {
+    const response = await fetch('https://api.openai.com/v1/chat/completions', {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${process.env.OPENAI_KEY}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: model,
+        messages: messages,
+        max_tokens: max_tokens,
+      }),
+    });
+  
+    const data = await response.json();
+    return data;
+    // return data.choices[0].message.content;
+  }
+  
+  
+    try {
+      const { prompt, sessionId, model = "gpt-4o-mini", max_tokens = 600 } = req.body;
+      if (!conversationsCollection) {
+        return res.status(500).json({
+          success: false,
+          error: 'MongoDB is not connected yet. Please try again later.',
+        });
+      }
+      let conversation;
+  
+      if (!sessionId) {
+        const newSessionId = uuidv4();
+  
+        conversation = {
+          sessionId: newSessionId,
+          conversationHistory: [
+            { role: 'system', content: 'You are a helpful assistant.' },
+            // { role: 'user', content: prompt },
+            { role: 'user', content: JSON.stringify(req.body.score) + "   -  is the students report card. " + req.body.instruction },
+          ],
+        };
+        // console.log(req.body.score[0])
+        await conversationsCollection.insertOne(conversation);
+      } else {
+        conversation = await conversationsCollection.findOne({ sessionId: sessionId });
+        if (!conversation) {
+          return res.status(400).json({
+            success: false,
+            error: 'Invalid session ID.',
+          });
+        }
+        conversation.conversationHistory.push({ role: 'user', content: prompt });
+      }
+  
+      // Call OpenAI API with the conversation history
+      const aiResponse = await fetchOpenAICompletion(prompt, conversation.conversationHistory, model, max_tokens);
+  
+      // Add the AI's response to the conversation history
+      conversation.conversationHistory.push({ role: 'assistant', content: aiResponse });
+  
+      // Update the conversation in MongoDB
+      await conversationsCollection.updateOne(
+        { sessionId: conversation.sessionId },
+        { $set: { conversationHistory: conversation.conversationHistory } }
+      );
+  
+      // Send the AI's response and session ID back to the frontend
+      res.json({
+        success: true,
+        data: aiResponse,
+        sessionId: conversation.sessionId,  // Return the session ID for subsequent queries
+      });
+    } catch (error) {
+      console.error('Error generating response:', error.message);
+      res.status(500).json({
+        success: false,
+        error: 'Something went wrong. Please try again later.',
+      });
+    }
+  
+  
+  }
+  
+  module.exports = aiFollowupQuestion;

src/routes/api/aiFollowupQuestion.js

@@ -0,0 +1,123 @@
+const aiFollowupQuestion = async (req, res) => {
+  // curl -X POST http://localhost:3000/your-endpoint-path \
+  //   -H "Content-Type: application/json" \
+  //   -d '{
+  //     "prompt": "Why is the sky blue?",
+  //     "sessionId": "",
+  //     "model": "gpt-3.5-turbo-16k",
+  //     "max_tokens": 200
+  //   }'
+
+  // curl -X POST http://localhost:5174/api/aiFollowupQuestion \
+  // -H "Content-Type: application/json" \
+  // -d '{
+  // "prompt": "Why is the sky blue?",
+  // "sessionId": "",
+  // "model": "gpt-3.5-turbo-16k",
+  // "sessionId" : "8c641aca-582d-4ea7-8e56-4f94318efe74",
+  // "max_tokens": 200
+  // }'
+
+  // {
+  //   "success": true,
+  //   "data": "The sky looks blue because of how sunlight scatters in the air. Great question! Ask me more!",
+  //   "total_tokens": 45,
+  //   "sessionId": "2a3b3cc4-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
+  // }
+
+  const { MongoClient } = require('mongodb');
+  // const fetch = require('node-fetch');
+  const { v4: uuidv4 } = require('uuid');
+  const url = process.env.MONGODB_URL;
+  const dbName = process.env.MONGO_DB_NAME;
+  const client = new MongoClient(url);
+
+  await client.connect();
+  const database = client.db(dbName);
+  const conversationsCollection = database.collection('conversations');
+
+  async function fetchOpenAICompletion(prompt, messages, model = 'gpt-3.5-turbo-16k', max_tokens = 200) {
+    const response = await fetch('https://api.openai.com/v1/chat/completions', {
+      method: 'POST',
+      headers: {
+        Authorization: `Bearer ${process.env.OPENAI_KEY}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: model,
+        messages: messages,
+        // messages: [
+        //     { role: "system", content: "reply must not exceed 20 words" },
+        //     { role: "user", content: messages }
+        // ],
+        max_tokens: max_tokens,
+      }),
+    });
+
+    const data = await response.json();
+    // console.log(process.env.OPENAI_KEY)
+    // console.log(data)
+    return data;
+  }
+
+  try {
+    const { prompt, sessionId, model = 'gpt-3.5-turbo-16k', max_tokens = 200 } = req.body;
+    if (!conversationsCollection) {
+      return res.status(500).json({
+        success: false,
+        error: 'MongoDB is not connected yet. Please try again later.',
+      });
+    }
+    let conversation;
+
+    if (!sessionId) {
+      const newSessionId = uuidv4();
+
+      conversation = {
+        sessionId: newSessionId,
+        conversationHistory: [
+          {
+            role: 'system',
+            content:
+              'Reply to the questions asked by a kindergarten child, Sound excited to answer and encourage the child to ask more questions in 30 words',
+          },
+          { role: 'user', content: prompt },
+        ],
+      };
+      await conversationsCollection.insertOne(conversation);
+    } else {
+      conversation = await conversationsCollection.findOne({ sessionId: sessionId });
+      if (!conversation) {
+        return res.status(400).json({
+          success: false,
+          error: 'Invalid session ID.',
+        });
+      }
+      conversation.conversationHistory.push({ role: 'user', content: prompt });
+    }
+
+    const aiResponse = await fetchOpenAICompletion(prompt, conversation.conversationHistory, model, max_tokens);
+
+    conversation.conversationHistory.push({ role: 'assistant', content: aiResponse.choices[0].message.content });
+
+    await conversationsCollection.updateOne(
+      { sessionId: conversation.sessionId },
+      { $set: { conversationHistory: conversation.conversationHistory } }
+    );
+
+    res.json({
+      success: true,
+      data: aiResponse.choices[0].message.content,
+      total_tokens: aiResponse.usage.total_tokens,
+      sessionId: conversation.sessionId,
+    });
+  } catch (error) {
+    console.error('Error generating response:', error.message);
+    res.status(500).json({
+      success: false,
+      error: 'Something went wrong. Please try again later.',
+    });
+  }
+};
+
+module.exports = aiFollowupQuestion;

src/routes/api/aiMarkDrawing.js

@@ -0,0 +1,116 @@
+const aiMarkDrawing = async (req, res) => {
+
+  
+  const express = require('express');
+// const fetch = require('node-fetch'); // For making HTTP requests
+const path = require('path');
+const fs = require('fs');
+
+// Create an Express app
+const app = express();
+const port = 3000;
+
+// Middleware to handle JSON and URL-encoded form data
+app.use(express.json());
+app.use(express.urlencoded({ extended: true }));
+
+// Replace with your OpenAI API key
+const OPENAI_API_KEY = 'your-openai-api-key';
+
+// Route to handle image upload and forward it to OpenAI API
+app.post('/upload-image', async (req, res) => {
+    try {
+        // Check if the file is included in the request
+        if (!req.headers['content-type']?.includes('multipart/form-data')) {
+            return res.status(400).send({ message: 'No file uploaded' });
+        }
+
+        // Extract the raw body data (binary) from the request
+        let imageBuffer = Buffer.alloc(0);
+
+        // Collect the image data from the stream (raw body)
+        req.on('data', chunk => {
+            imageBuffer = Buffer.concat([imageBuffer, chunk]);
+        });
+
+        req.on('end', async () => {
+            // Forward the image to OpenAI's API for scoring
+            const score = await sendImageToOpenAI(imageBuffer);
+
+            // Respond with the score
+            res.json({ score: score });
+        });
+
+    } catch (error) {
+        console.error('Error processing the image:', error);
+        res.status(500).send({ message: 'Internal Server Error' });
+    }
+});
+
+// Function to send image to OpenAI API and get the response
+async function sendImageToOpenAI(imageBuffer) {
+    try {
+        // Convert binary image data to base64 format
+        const imageBase64 = imageBuffer.toString('base64');
+
+        // Make a request to the OpenAI API using fetch
+        const response = await fetch('https://api.openai.com/v1/chat/completions', {
+            method: 'POST',
+            headers: {
+                'Authorization': `Bearer ${OPENAI_API_KEY}`,
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                model: "gpt-4-vision", // Use the appropriate model
+                messages: [
+                    { role: "system", content: "You are a grading assistant for 2nd grade students." },
+                    { role: "user", content: "Evaluate this student's drawing or coloring." }
+                ],
+                functions: {
+                    function_call: {
+                        name: "vision_function",
+                        args: {
+                            image: imageBase64 // Send the image in base64 format
+                        }
+                    }
+                }
+            })
+        });
+
+        // Parse the response
+        const data = await response.json();
+
+        // Extract the score or other relevant information from the response
+        const aiResponse = data.choices[0].message.content;
+
+        // You can parse this response and extract the score, for example:
+        const score = extractScoreFromResponse(aiResponse);
+        return score;
+
+    } catch (error) {
+        console.error('Error interacting with OpenAI API:', error);
+        throw error;
+    }
+}
+
+// Example function to extract a score from OpenAI's response (you need to define this based on the actual response structure)
+function extractScoreFromResponse(responseText) {
+    // You can use a regex or logic to extract the score from OpenAI's response
+    const scoreMatch = responseText.match(/score:\s*(\d+)/i);
+    if (scoreMatch) {
+        return parseInt(scoreMatch[1], 10);
+    } else {
+        // If no score is found, return a default value
+        return 0;
+    }
+}
+
+// Start the server
+app.listen(port, () => {
+    console.log(`Server running at http://localhost:${port}`);
+});
+
+
+}
+
+module.exports = aiMarkDrawing;

src/routes/api/aiTest.js

@@ -0,0 +1,166 @@
+const aiFollowupQuestion = async (req, res) => {
+  const { MongoClient } = require('mongodb');
+  // const fetch = require('node-fetch');
+  const { v4: uuidv4 } = require('uuid');
+  const url = process.env.MONGODB_URL;
+  const dbName = process.env.MONGO_DB_NAME;
+  const client = new MongoClient(url);
+
+  await client.connect();
+  const database = client.db(dbName);
+  const conversationsCollection = database.collection('conversations');
+
+  const MAX_TOKENS = 200;
+  const PROVIDER_KEYS = JSON.parse(process.env.PROVIDER_KEY || '[]');
+
+  const PROVIDER_MODELS = {
+    openai: [ "gpt-4o", "gpt-4o-mini", "o1", "o1-mini", "gpt-3.5-turbo", "gpt-3.5-turbo-mini", "gpt-3.5-mini", "gpt-3.5-turbo-2", "gpt-3.5-2", "gpt-3.5-turbo-2-mini", "gpt-3.5-2-mini" ],
+    deepseek: [ "deepseek-chat", "deepseek-reasoner", "deepseek-qa", "deepseek-qa-mini" ],
+    // Add more providers and models as needed
+  };
+
+  async function fetchOpenAICompletion(messages, model, max_tokens = MAX_TOKENS) {
+    // console.log(messages)
+    const response = await fetch('https://api.openai.com/v1/chat/completions', {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${process.env.OPENAI_KEY}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: model,
+        messages: messages,
+        max_tokens: max_tokens,
+      }),
+    });
+    return response.json();
+  }
+
+  async function fetchDeepSeekCompletion(messages, model) {
+    const response = await fetch('https://api.deepseek.com/chat/completions', {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${process.env.DEEPSEEK_KEY}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: model,
+        messages: messages,
+        stream: false,
+      }),
+    });
+    return response.json();
+  }
+
+  // Similar function for Gemini can be added here...
+
+  try {
+
+    const { prompt, sessionId, provider, model = "gpt-4o-mini", key, system } = req.body;
+
+    if (!key || !PROVIDER_KEYS.includes(key)) {
+      return res.status(403).json({
+        success: false,
+        error: 'Unauthorized: Invalid or missing key.',
+      });
+    }
+    
+    if (provider && req.body['list-models']) {
+      if (PROVIDER_MODELS[provider]) {
+        return res.json({
+          success: true,
+          models: PROVIDER_MODELS[provider],
+        });
+      } else {
+        return res.status(400).json({
+          success: false,
+          error: 'Invalid provider specified.',
+        });
+      }
+    }
+
+    // Check if the request is for listing AI providers
+    if (req.body['list-ais']) {
+      return res.json({
+        success: true,
+        providers: ['openai', 'deepseek', 'gemini', 'manual'],
+      });
+    }
+
+    if (!conversationsCollection) {
+      return res.status(500).json({
+        success: false,
+        error: 'MongoDB is not connected yet. Please try again later.',
+      });
+    }
+
+    let conversation;
+
+    if (!sessionId) {
+      const newSessionId = uuidv4();
+      conversation = {
+        sessionId: newSessionId,
+        conversationHistory: [
+          { role: 'system', content: system },
+          { role: 'user', content: prompt },
+        ],
+      };
+      await conversationsCollection.insertOne(conversation);
+    } else {
+      conversation = await conversationsCollection.findOne({ sessionId: sessionId });
+      if (!conversation) {
+        return res.status(400).json({
+          success: false,
+          error: 'Invalid session ID.',
+        });
+      }
+      conversation.conversationHistory.push({ role: 'user', content: prompt });
+    }
+
+    let aiResponse;
+
+    if(prompt.length > 3) {
+      switch (provider) {
+        case 'openai':
+          aiResponse = await fetchOpenAICompletion([{ role: 'user', content: prompt }], model);
+          // console.log(aiResponse)
+          break;
+        case 'deepseek':
+          aiResponse = await fetchDeepSeekCompletion([{ role: 'user', content: prompt }], model);
+          break;
+        // case 'gemini':
+        //   aiResponse = await fetchGeminiCompletion(conversation.conversationHistory, model);
+        //   break;
+        // Add more cases for other providers as needed
+        default:
+          return res.status(400).json({
+            success: false,
+            error: 'Invalid provider specified.',
+          });
+      }
+    }
+      
+
+    conversation.conversationHistory.push({ role: 'assistant', content: aiResponse.choices ? aiResponse.choices[0].message.content : aiResponse.response });
+
+    await conversationsCollection.updateOne(
+      { sessionId: conversation.sessionId },
+      { $set: { conversationHistory: conversation.conversationHistory } }
+    );
+
+    res.json({
+      success: true,
+      data: aiResponse.choices ? aiResponse.choices[0].message.content : aiResponse.response,
+      total_tokens: aiResponse.usage ? aiResponse.usage.total_tokens : undefined,
+      sessionId: conversation.sessionId,
+    });
+  } catch (error) {
+    console.error('Error generating response:', error.message);
+    res.status(500).json({
+      success: false,
+      error: 'Something went wrong. Please try again later.',
+    });
+  }
+};
+
+module.exports = aiFollowupQuestion;

src/routes/api/aiTextToSpeech.js

@@ -0,0 +1,91 @@
+const axios = require('axios');
+const AWS = require('aws-sdk');
+const FormData = require('form-data');
+
+const aiTextToSpeech = async (req, res) => {
+  // curl -X POST http://localhost:5174/api/aiTextToSpeech \
+  // -H "Content-Type: application/json" \
+  // -d '{
+  // "text": "Hello, this is a sample speech.",
+  // "voiceId": "Ava"
+  // }'
+
+  // {"message":"Speech generated and saved successfully","fileUrls":["https://polly-bs.s3.ap-south-1.amazonaws.com/file_MpNpWluxR7R70BA-dzju_U3C94bPmC-n-speech.mp3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQ35B6OYR6T5MGH7Q%2F20250814%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20250814T163252Z&X-Amz-Expires=86400&X-Amz-Signature=12dd2feaf73564d6c843b0dc975fdedb35c430d316f4f09fcdf41e247d1ea63c&X-Amz-SignedHeaders=host","https://polly-bs.s3.ap-south-1.amazonaws.com/file_SXmwHWwlcSBlI9LNoZ1PcLEdMD7D1PWO-text.txt?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQ35B6OYR6T5MGH7Q%2F20250814%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20250814T163252Z&X-Amz-Expires=86400&X-Amz-Signature=d96eb4fe7cabfab93ce0ffe8fc74a8e722a2064d904652d47ad361f2f3667ec7&X-Amz-SignedHeaders=host"],"fileKeys":{"file1":"file_MpNpWluxR7R70BA-dzju_U3C94bPmC-n-speech.mp3","file2":"file_SXmwHWwlcSBlI9LNoZ1PcLEdMD7D1PWO-text.txt"}}
+
+  AWS.config.update({
+    region: 'ap-south-1',
+    accessKeyId: process.env.AWS_polly2_ACCESS_KEY_ID,
+    secretAccessKey: process.env.AWS_polly2_SECRET_ACCESS_KEY,
+  });
+
+  const polly = new AWS.Polly();
+  const voiceIdMap = {
+    Ava: 'Ivy',
+    Monstero: 'Justin',
+    Dax: 'Kevin',
+    Kai: 'Danielle',
+    Arlo: 'Ruth',
+    Yara: 'Salli',
+  };
+
+  const { text, voiceId: frontendVoiceId } = req.body;
+
+  if (!text || !frontendVoiceId) {
+    return res.status(400).json({ error: 'Text and voiceId are required' });
+  }
+
+  const pollyVoiceId = voiceIdMap[frontendVoiceId];
+  if (!pollyVoiceId) {
+    return res.status(400).json({ error: 'Invalid voiceId provided' });
+  }
+
+  const params = {
+    Text: text,
+    OutputFormat: 'mp3',
+    Engine: 'neural',
+    VoiceId: pollyVoiceId,
+  };
+
+  try {
+    function generateTimestampWithRandomDigits() {
+      const now = new Date();
+      const formattedDate = now.toISOString().replace('T', '_').replace(/\..+/, '').replace(/:/g, '-');
+      const randomDigits = Math.floor(Math.random() * 10000)
+        .toString()
+        .padStart(4, '0');
+      return `${formattedDate}_${randomDigits}`;
+    }
+
+    const folder = generateTimestampWithRandomDigits();
+    const folderName = `audio_files/${folder}`;
+
+    const data = await polly.synthesizeSpeech(params).promise();
+    const audioBuffer = data.AudioStream;
+
+    const textBuffer = Buffer.from(text, 'utf-8');
+
+    const formData = new FormData();
+    formData.append('file1', audioBuffer, 'speech.mp3');
+    formData.append('file2', textBuffer, 'text.txt');
+    // formData.append('folder', folderName); // Send folder name
+    formData.append('bucket', 'polly-bs'); // Adjust bucket
+
+    const response = await axios.post('https://preschool-curriculum.in/api/one/v1/file/upload', formData, {
+      headers: {
+        // 'Authorization': `Bearer ${process.env.BEARER_TOKEN}`,
+        ...formData.getHeaders(), // Ensure FormData headers are included
+      },
+    });
+
+    res.json({
+      message: 'Speech generated and saved successfully',
+      fileUrls: response.data.urls,
+      fileKeys: response.data.data,
+    });
+  } catch (error) {
+    console.error('Error generating speech or uploading files:', error);
+    res.status(500).json({ error: 'Error generating speech or uploading files' });
+  }
+};
+
+module.exports = aiTextToSpeech;

src/routes/api/generateQuestions copy.js

@@ -0,0 +1,35 @@
+const mysql = require("mysql2");
+
+const generateQuestions = (req, res) => {
+    const connection = mysql.createConnection({
+    host: process.env.MARIA_HOST,
+    user: process.env.MARIA_USER,
+    password: process.env.MARIA_PASS,
+    database: process.env.MARIA_DBNM
+    });
+
+    connection.connect((err) => {
+    if (err) {
+        console.error('Error connecting to the database:', err);
+        return;
+    }
+    console.log('Connected to the MariaDB database.');
+    });
+
+    const { questions } = req.body;
+    res.send( questions );
+    questions.forEach(question => {
+        const { questionText, options, correctAnswer } = question;
+        const sql = 'INSERT INTO quiz_questions (questionText, option1, option2, option3, option4, correctAnswer) VALUES (?, ?, ?, ?, ?, ?)';
+        db.query(sql, [questionText, options[0], options[1], options[2], options[3], correctAnswer], (err, result) => {
+            if (err) {
+                console.error('Error inserting question:', err);
+                res.status(500).send('Error inserting question');
+                return;
+            }
+        });
+    });
+    
+    res.status(200).send('Questions added successfully');
+}
+module.exports = generateQuestions;

src/routes/api/generateQuestions.js

@@ -1,35 +1,48 @@
-const mysql = require("mysql2");
+var MongoClient = require('mongodb').MongoClient;
+// const AWS = require('aws-sdk');
 
-const generateQuestions = (req, res) => {
+const saveGameScore = (req, res) => {
-    const connection = mysql.createConnection({
+    const url = process.env.MONGODB_URL;
-    host: process.env.MARIA_HOST,
+    const dbName = process.env.MONGO_DB_NAME;
-    user: process.env.MARIA_USER,
+    const client = new MongoClient(url, { useUnifiedTopology: true });
-    password: process.env.MARIA_PASS,
+    client.connect((err) => {
-    database: process.env.MARIA_DBNM
+        if (err) {
-    });
+            console.error('Failed to connect to the server', err);
+            return;
+        }
+        // console.log('Connected successfully to server');
+        const db = client.db(dbName);
+        const collection = db.collection('questions');
+        // const data = req.body;
+        const { question, option1, option2, option3, option4, correctAnswer, moduleId } = req.body;
+        const data = {
+            question: question,
+            option1: option1,
+            option2: option2,
+            option3: option3,
+            option4: option4,
+            correctAnswer: correctAnswer,
+            moduleId: moduleId
+        };
 
-    connection.connect((err) => {
+        collection.insertOne(data, (err, result) => {
-    if (err) {
-        console.error('Error connecting to the database:', err);
-        return;
-    }
-    console.log('Connected to the MariaDB database.');
-    });
-
-    const { questions } = req.body;
-    res.send( questions );
-    questions.forEach(question => {
-        const { questionText, options, correctAnswer } = question;
-        const sql = 'INSERT INTO quiz_questions (questionText, option1, option2, option3, option4, correctAnswer) VALUES (?, ?, ?, ?, ?, ?)';
-        db.query(sql, [questionText, options[0], options[1], options[2], options[3], correctAnswer], (err, result) => {
             if (err) {
-                console.error('Error inserting question:', err);
+                console.error('Failed to insert document', err);
-                res.status(500).send('Error inserting question');
+            } else {
-                return;
+                // console.log('Document inserted with _id: ', result.insertedId);
             }
+            client.close((err) => {
+                if (err) {
+                    console.error('Failed to close connection', err);
+                } else {
+                    console.log('Connection closed');
+                    
+                    res.send(result.insertedId);
+                }
+            });
         });
     });
-    
+  };
-    res.status(200).send('Questions added successfully');
+  
-}
+  module.exports = saveGameScore;
-module.exports = generateQuestions;
+  

src/routes/api/getGalleryImage.js

@@ -0,0 +1,36 @@
+const GalleryImage = require('../../models/getGalleyImage');
+
+const getGalleryImage = async (req, res) => {
+    try {
+        // Extract query parameters for filtering (if provided)
+        const { gameName, childId, gameID} = req.query;
+
+        // Build a filter object based on the query parameters
+        const filter = {};
+
+        if (gameName) {
+            filter.gameName = gameName;
+        }
+
+        if (childId) {
+            filter.childId = childId;
+        }
+        if (gameID) {
+            filter.gameID = gameID;
+        }
+
+        // Fetch gallery images with filters and selected fields
+        const galleryImages = await GalleryImage.find(filter).select('gameName childId gameID screenshotUrl');   // Select only these fields
+
+        if (!galleryImages.length) {
+            return res.status(404).json({ message: 'No images found' });
+        }
+
+        return res.status(200).json(galleryImages);  // Return the filtered gallery images with selected fields
+    } catch (error) {
+        console.error('Error fetching images:', error.message);
+        return res.status(500).json({ error: 'Something went wrong' });
+    }
+};
+
+module.exports = getGalleryImage;

src/routes/api/getGameData.js

@@ -0,0 +1,147 @@
+require("dotenv").config();
+const express = require("express");
+const mariadb = require("mariadb");
+
+const router = express.Router();
+
+// Create MariaDB connection pool
+const pool = mariadb.createPool({
+    host: process.env.MARIA_HOST,
+    user: process.env.MARIA_USER,
+    password: process.env.MARIA_PASS,
+    database: process.env.MARIA_DBNM,
+    connectionLimit: 5
+});
+ 
+const getGameData = async (req, res) => {
+    let conn;
+    let items = 'ws2gamelink';
+    try {
+        const { wsname } = req.query;
+        if (!items || !wsname) {
+            return res.status(400).json({ error: "Missing items or wsname parameter" });
+        }
+
+        console.log("Fetching game data from table:", items);
+
+        conn = await pool.getConnection();
+
+        // Fetching the first dataset
+        const ws2gamelinkQuery = `SELECT * FROM \`${items}\` WHERE wsname = ?`;
+        const rows = await conn.query(ws2gamelinkQuery, [wsname]);
+
+        if (!rows.length) {
+            return res.status(404).json({ error: "No data found" });
+        }
+
+        let gamelinkArray = rows[0].gamelink;
+
+        // Ensure gamelinkArray is an array
+        if (typeof gamelinkArray === "string") {
+            gamelinkArray = [gamelinkArray]; // Convert to array if it's a string
+        }
+        if (!Array.isArray(gamelinkArray)) {
+            return res.status(500).json({ error: "Invalid gamelink data format" });
+        }
+
+        const gameDataResults = [];
+
+        for (const link of gamelinkArray) {
+            const gameLinkParts = link.split('/');
+            let gameNameFromUrl = '';
+            let gameIdData = '';
+            let gameTableName = '';
+            let gameVersion = '';
+
+            if (gameLinkParts.length === 5) {
+                gameNameFromUrl = gameLinkParts[3];
+                gameIdData = gameLinkParts[4].split('=')[1]; // Extracting ID
+            } else if (gameLinkParts.length === 6) {
+                gameNameFromUrl = gameLinkParts[3];
+                gameVersion = gameLinkParts[4];
+                gameIdData = gameLinkParts[5].split('=')[1]; // Extracting ID
+            }
+
+            if (gameNameFromUrl === 'drawing' && gameVersion === 'v2') {
+                gameTableName = 'game_drawing_v2';
+            } else if (gameNameFromUrl === 'drawing' && gameVersion === 'v3') {
+                gameTableName = 'game_drawing_v3';
+            } else if (gameNameFromUrl === 'drawing' && gameVersion === 'drawing_writo') {
+                gameTableName = 'drawing_writo';
+            } else if (gameNameFromUrl === 'drawing' && gameVersion === 'drawing_phonics') {
+                gameTableName = 'drawing_phonics';
+            } else if (gameNameFromUrl === 'drawing') { 
+                gameTableName = 'game_drawing';  // General case, only if no version is specified
+            } else if (gameNameFromUrl === 'drag' && gameVersion === 'v2') {
+                gameTableName = 'game_drag_v2';
+            } else if (gameNameFromUrl === 'drag' && gameVersion === 'v4') {
+                gameTableName = 'game_drag_v4';
+            } else if (gameNameFromUrl === 'drag' && gameVersion === 'dragdrop_phonics') {
+                gameTableName = 'drag_drop_phonics';
+            } else if (gameNameFromUrl === 'drag' && gameVersion === 'match_phonics') {
+                gameTableName = 'drag_phonics';
+            } else if (gameNameFromUrl === 'drag') {
+                gameTableName = 'game_drag';  // General case for "drag"
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'tick_phonics_v1') {
+                gameTableName = 'tick_phonics_option_6';
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'tick_phonics_v2') {
+                gameTableName = 'tick_phonics_option_9';
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'tick_phonics_v3') {
+                gameTableName = 'game_tick_v3_phonics';
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'v1') {
+                gameTableName = 'game_tick_variant1';
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'v2') {
+                gameTableName = 'game_tick_variant2';
+            } else if (gameNameFromUrl === 'tick' && gameVersion === 'v3') {
+                gameTableName = 'game_tick_varient3';
+            } else if (gameNameFromUrl === 'cross' && gameVersion === 'cross_phonics_v1') {
+                gameTableName = 'cross_phonics_option_6';
+            } else if (gameNameFromUrl === 'cross' && gameVersion === 'cross_phonics_v2') {
+                gameTableName = 'cross_phonics_option_9';
+            } else if (gameNameFromUrl === 'cross' && gameVersion === 'v1') {
+                gameTableName = 'game_cross_varient1';
+            } else if (gameNameFromUrl === 'cross' && gameVersion === 'v2') {
+                gameTableName = 'game_cross_varient2';
+            } else if (gameNameFromUrl === 'cross' && gameVersion === 'v3') {
+                gameTableName = 'game_cross_varient3';
+            }
+
+
+
+
+            // else if (gameNameFromUrl === 'cross' && gameVersion === 'v2') {
+            //     gameTableName = 'game_cross_varient2';
+            // }
+            
+
+
+
+            
+
+            // console.log('Game Info:', { gameTableName, gameVersion, gameIdData });
+
+            if (gameTableName && gameIdData) {
+                let gameConn;
+                try {
+                    gameConn = await pool.getConnection();
+                    const gameDataQuery = `SELECT * FROM \`${gameTableName}\` WHERE id = ?`;
+                    const gameDataRows = await gameConn.query(gameDataQuery, [gameIdData]);
+                    gameDataResults.push({ link, data: gameDataRows });
+                } catch (gameError) {
+                    console.error("Error fetching game data:", gameError);
+                } finally {
+                    if (gameConn) gameConn.release();
+                }
+            }
+        }
+
+        res.json({ wsData: rows, gameData: gameDataResults });
+    } catch (err) {
+        console.error("Database error:", err);
+        res.status(500).json({ error: "Database error" });
+    } finally {
+        if (conn) conn.release();
+    }
+};
+
+module.exports = getGameData;

src/routes/api/getGameInfo.js

@@ -0,0 +1,136 @@
+const mariadb = require('mariadb');
+
+const gameInfo = async (req, res) => {
+
+// Create a connection pool
+const pool = mariadb.createPool({
+    host: process.env.MARIA_HOST,
+    user: process.env.MARIA_USER,
+    password: process.env.MARIA_PASS,
+    database: process.env.MARIA_DBNM,
+    connectionLimit: 5,
+  });
+  
+  const { schoolId, teacherId } = req.query;
+
+  if (!schoolId && !teacherId) {
+    return res.status(400).send({ error: 'Either schoolId or teacherId is required in the query parameters.' });
+  }
+
+  let connection;
+  try {
+    // Establish a connection to the database
+    connection = await pool.getConnection();
+
+    let queryCondition;
+    let queryValue;
+
+    // Determine the query condition based on the parameters provided
+    if (schoolId) {
+      queryCondition = 'schoolId = ?';
+      queryValue = schoolId;
+    } else {
+      queryCondition = 'teacherId = ?';
+      queryValue = teacherId;
+    }
+
+    // Query both game1 and game2 tables
+    const query1 = `SELECT * FROM game_drawing WHERE ${queryCondition}`;
+    const query2 = `SELECT * FROM game_drawing_v2 WHERE ${queryCondition}`;
+    const query3 = `SELECT * FROM game_drawing_v3 WHERE ${queryCondition}`;
+    const query4 = `SELECT * FROM drawing_phonics WHERE ${queryCondition}`;
+    const query5 = `SELECT * FROM game_tick_variant1 WHERE ${queryCondition}`;
+    const query6 = `SELECT * FROM game_tick_variant2 WHERE ${queryCondition}`;
+    const query7 = `SELECT * FROM game_tick_varient3 WHERE ${queryCondition}`;
+    const query8 = `SELECT * FROM game_cross_varient1 WHERE ${queryCondition}`;
+    const query9 = `SELECT * FROM game_cross_varient2 WHERE ${queryCondition}`;
+    const query10 = `SELECT * FROM game_cross_varient3 WHERE ${queryCondition}`;
+    const query11 = `SELECT * FROM game_drag WHERE ${queryCondition}`;
+    const query12 = `SELECT * FROM game_drag_v2 WHERE ${queryCondition}`;
+    const query13 = `SELECT * FROM game_drag_v4 WHERE ${queryCondition}`;
+    const query14 = `SELECT * FROM game_tick_v3_phonics WHERE ${queryCondition}`;
+    const query15 = `SELECT * FROM tick_phonics_option_6 WHERE ${queryCondition}`;
+    const query16 = `SELECT * FROM tick_phonics_option_9 WHERE ${queryCondition}`;
+    const query17 = `SELECT * FROM drag_drop_phonics WHERE ${queryCondition}`;
+    const query18 = `SELECT * FROM drag_phonics WHERE ${queryCondition}`;
+    const query19 = `SELECT * FROM cross_phonics_option_9 WHERE ${queryCondition}`;
+
+    const [game_drawing, game_drawing_v2, game_drawing_v3, drawing_phonics, game_tick_variant1, game_tick_variant2, game_tick_varient3, game_cross_varient1, game_cross_varient2,  game_cross_varient3, game_drag, game_drag_v2, game_drag_v4, game_tick_v3_phonics, tick_phonics_option_6, tick_phonics_option_9, drag_drop_phonics, drag_phonics, cross_phonics_option_9 ] = await Promise.all([
+      connection.query(query1, [queryValue]),
+      connection.query(query2, [queryValue]),
+      connection.query(query3, [queryValue]),
+      connection.query(query4, [queryValue]),
+      connection.query(query5, [queryValue]),
+      connection.query(query6, [queryValue]),
+      connection.query(query7, [queryValue]),
+      connection.query(query8, [queryValue]),
+      connection.query(query9, [queryValue]),
+      connection.query(query10, [queryValue]),
+      connection.query(query11, [queryValue]),
+      connection.query(query12, [queryValue]),
+      connection.query(query13, [queryValue]),
+      connection.query(query14, [queryValue]),
+      connection.query(query15, [queryValue]),
+      connection.query(query16, [queryValue]),
+      connection.query(query17, [queryValue]),
+      connection.query(query18, [queryValue]),
+      connection.query(query19, [queryValue])
+    ]);
+
+    // const domain = 'https://domain.com/gamelink/?id=';
+    const domain =  process.env.GAME_DOMAIN;
+
+    const formattedGame1  = game_drawing.map(game => ({ ...game, game_id: `game_drawing-${game.id}`, game_link: `${domain}/drawing/?id=${game.id}`, }));
+    const formattedGame2  = game_drawing_v2.map(({ status, ...game }) => ({ ...game, game_id: `game_drawing_v2-${game.id}`, game_link: `${domain}/drawing/v2/?id=${game.id}`, }));
+    const formattedGame3  = game_drawing_v3.map(({ status, ...game }) => ({ ...game, game_id: `game_drawing_v3-${game.id}`, game_link: `${domain}/drawing/v3/?id=${game.id}`, }));
+    const formattedGame4  = drawing_phonics.map(({ status, ...game }) => ({ ...game, game_id: `drawing_phonics-${game.id}`, game_link: `${domain}/drawing/drawing_phonics/?id=${game.id}`, }));
+    const formattedGame5  = game_tick_variant1.map(({ status, ...game }) => ({ ...game, game_id: `game_tick_variant1-${game.id}`, game_link: `${domain}/tick/v1/?id=${game.id}`, }));
+    const formattedGame6  = game_tick_variant2.map(({ status, ...game }) => ({ ...game, game_id: `game_tick_variant2-${game.id}`, game_link: `${domain}/tick/v2/?id=${game.id}`, }));
+    const formattedGame7  = game_tick_varient3.map(({ status, ...game }) => ({ ...game, game_id: `game_tick_varient3-${game.id}`, game_link: `${domain}/tick/v3/?id=${game.id}`, }));
+    const formattedGame8  = game_cross_varient1.map(({ status, ...game }) => ({ ...game, game_id: `game_cross_varient1-${game.id}`, game_link: `${domain}/cross/v1/?id=${game.id}`, }));
+    const formattedGame9  = game_cross_varient2.map(({ status, ...game }) => ({ ...game, game_id: `game_cross_varient2-${game.id}`, game_link: `${domain}/cross/v2/?id=${game.id}`, }));
+    const formattedGame10  = game_cross_varient3.map(({ status, ...game }) => ({ ...game, game_id: `game_cross_varient3-${game.id}`, game_link: `${domain}/cross/v3/?id=${game.id}`, }));
+    const formattedGame11  = game_drag.map(({ status, ...game }) => ({ ...game, game_id: `game_drag-${game.id}`, game_link: `${domain}/drag/?id=${game.id}`, }));
+    const formattedGame12  = game_drag_v2.map(({ status, ...game }) => ({ ...game, game_id: `game_drag_v2-${game.id}`, game_link: `${domain}/drag/v2/?id=${game.id}`, }));
+    const formattedGame13  = game_drag_v4.map(({ status, ...game }) => ({ ...game, game_id: `game_drag_v4-${game.id}`, game_link: `${domain}/drag/v4/?id=${game.id}`, }));
+    const formattedGame14  = game_tick_v3_phonics.map(({ status, ...game }) => ({ ...game, game_id: `game_tick_v3_phonics-${game.id}`, game_link: `${domain}/tick/tick_phonics_v1/?id=${game.id}`, }));
+    const formattedGame15  = tick_phonics_option_6.map(({ status, ...game }) => ({ ...game, game_id: `tick_phonics_option_6-${game.id}`, game_link: `${domain}/tick/tick_phonics_v2/?id=${game.id}`, }));
+    const formattedGame16  = tick_phonics_option_9.map(({ status, ...game }) => ({ ...game, game_id: `tick_phonics_option_9-${game.id}`, game_link: `${domain}/tick/tick_phonics_v3/?id=${game.id}`, }));
+    const formattedGame17  = drag_drop_phonics.map(({ status, ...game }) => ({ ...game, game_id: `drag_drop_phonics-${game.id}`, game_link: `${domain}/drag/dragdrop_phonics/?id=${game.id}`, }));
+    const formattedGame18  = drag_phonics.map(({ status, ...game }) => ({ ...game, game_id: `drag_phonics-${game.id}`, game_link: `${domain}/drag/match_phonics/?id=${game.id}`, }));
+    const formattedGame19  = cross_phonics_option_9.map(({ status, ...game }) => ({ ...game, game_id: `cross_phonics_option_9-${game.id}`, game_link: `${domain}/cross/cross_phonics_v2/?id=${game.id}`, }));
+
+
+    const combinedResults = {
+      game_drawing: formattedGame1,
+      game_drawing_v2: formattedGame2,
+      game_drawing_v3: formattedGame3,
+      drawing_phonics: formattedGame4,
+      game_tick_variant1: formattedGame5,
+      game_tick_variant2: formattedGame6,
+      game_tick_varient3: formattedGame7,
+      game_cross_varient1: formattedGame8,
+      game_cross_varient2: formattedGame9,
+      game_cross_varient3: formattedGame10,
+      game_drag: formattedGame11,
+      game_drag_v2: formattedGame12,
+      game_drag_v4: formattedGame13,
+      game_tick_v3_phonics: formattedGame14,
+      tick_phonics_option_6: formattedGame15,
+      tick_phonics_option_9: formattedGame16,
+      drag_drop_phonics: formattedGame17,
+      drag_phonics: formattedGame18,
+      cross_phonics_option_9: formattedGame19
+    };
+
+    res.status(200).send(combinedResults);
+  } catch (error) {
+    console.error('Error querying game tables:', error);
+    res.status(500).send({ error: 'An error occurred while fetching game data.' });
+  } finally {
+    // Release the connection back to the pool
+    if (connection) connection.release();
+  }
+};
+
+module.exports = gameInfo;

src/routes/api/getGameScore.js

@@ -1,32 +1,56 @@
-const mysql = require("mysql2");
 const getGameScore = (req, res) => {
-    const pool = mysql.createPool({
+    const { MongoClient } = require('mongodb');
-        host: process.env.MARIA_HOST,
-        user: process.env.MARIA_USER,
-        password: process.env.MARIA_PASS,
-        database: 'beanstalk_game',
-        waitForConnections: true,
-        connectionLimit: 10,
-        queueLimit: 0
-    });
-    const promisePool = pool.promise();
-    const { userId, gameName, gameID } = req.body;
 
-    const query = 'SELECT score, gameTime FROM gameData WHERE userId = ? AND gameName = ? AND gameID = ?';
+async function main() {
+    const url = process.env.MONGODB_URL;
+    const dbName = process.env.MONGO_DB_NAME;
+    const client = new MongoClient(url, { useNewUrlParser: true, useUnifiedTopology: true });
 
-    pool.query(query, [userId, gameName, gameID], (error, results) => {
+    try {
-        if (error) {
+        // Connect to the MongoDB client
-            return res.status(500).json({ message: 'Database query failed', error });
+        await client.connect();
-        }
 
-        if (results.length > 0) {
+        // Select the database and collection
-            const game = results[0];
+        const database = client.db(dbName); // Replace with your database name
-            res.json({ score: game.score, gameTime: game.gameTime });
+        const collection = database.collection('gameData'); // Replace with your collection name
-        } else {
+
-            res.status(404).json({ message: 'Game data not found' });
+        // Find a single document
-        }
+        // const user = await collection.findOne({ childId: 'dsfdfgffgfgeg' });
-    });
+
-  };
+        const { childId, gameName, gameID } = req.body;
-  
+            const gameData = await collection.findOne(
-  module.exports = getGameScore;
+                {
+                    childId: childId,
+                    gameName: gameName,
+                    gameID: gameID
+                },{
+                    sort: {_id: -1}
+                }
+            );
+            // console.log('gameData', gameData);
+            if (gameData) {
+                res.json({gameData});
+            } else {
+                res.status(404).json({ message: 'Game data not found' });
+            }
+
+        // Output the result
+        // if (user) {
+        //     console.log('User found:', user);
+        // } else {
+        //     console.log('No user found with the username "john_doe"');
+        // }
+    } catch (error) {
+        console.error('Error connecting to MongoDB or performing query:', error);
+    } finally {
+        // Close the connection
+        await client.close();
+    }
+}
+
+main().catch(console.error);
+
+};
+
+module.exports = getGameScore;
   

src/routes/api/saveGalleryImage.js

@@ -0,0 +1,79 @@
+const GalleryImage = require('../../models/imageGallery');
+const axios = require('axios');
+const FormData = require('form-data'); // Import form-data for Node.js
+
+const saveGalleryImage = async (req, res) => {
+    try {
+        const { childId, gameName, gameID, screenShot } = req.body;
+
+        // Validate base64 format
+        const isValidBase64 = validateBase64(screenShot);
+        if (!isValidBase64) {
+            return res.status(400).json({ error: 'Invalid base64 image data' });
+        }
+
+        // Extract image details
+        const imageData = extractImageDataFromBase64(screenShot);
+        const contentType = imageData.contentType || 'image/jpeg'; // Default to JPEG
+
+        // Convert base64 to buffer
+        const buffer = Buffer.from(screenShot.replace(/^data:image\/(png|jpg|jpeg);base64,/, ''), 'base64');
+
+        // Create FormData
+        const formData = new FormData();
+        formData.append('file1', buffer, { filename: 'screenshot.jpg', contentType });
+        formData.append('folder', 'gameGallery');
+        formData.append('bucket', 'polly-bs');
+
+        // Upload image to external API using axios
+        const uploadResponse = await axios.post(
+            'https://preschool-curriculum.in/api/one/v1/file/upload',
+            formData,
+            {
+                headers: {
+                    ...formData.getHeaders(), // Add form-data headers like Content-Type boundary
+                    // Add any necessary authentication headers if required
+                },
+            }
+        );
+
+        if (uploadResponse.status !== 200) {
+            throw new Error('Image upload failed: ' + uploadResponse.statusText);
+        }
+
+         
+        // Extract and store the uploaded image URL from the response
+        const screenshotUrl = uploadResponse.data.urls[0];
+
+        // Create and save gallery image data
+        const galleryImageData = new GalleryImage({
+            childId,
+            gameName,
+            gameID,
+            screenshotUrl,
+            message: 'Image received',
+        });
+        await galleryImageData.save();
+
+        return res.status(200).json(galleryImageData);
+    } catch (error) {
+        console.error('Error:', error.message);
+        return res.status(500).json({ error: 'Something went wrong' });
+    }
+};
+
+// Validate base64 image
+function validateBase64(base64String) {
+    const regex = /^data:image\/(png|jpg|jpeg);base64,/;
+    return regex.test(base64String);
+}
+
+// Extract image data (like content type) from base64 string
+function extractImageDataFromBase64(base64String) {
+    const matches = base64String.match(/^data:image\/(png|jpg|jpeg);base64,/);
+    return {
+        contentType: matches ? `image/${matches[1]}` : 'image/jpeg',
+    };
+}
+
+module.exports = saveGalleryImage;

src/routes/api/saveGameScore.js

@@ -1,68 +0,0 @@
-var MongoClient = require('mongodb').MongoClient;
-const AWS = require('aws-sdk');
-
-const saveGameScore = (req, res) => {
-    const url = process.env.MONGODB_URL;
-    const dbName = process.env.MONGO_DB_NAME;
-    const client = new MongoClient(url, { useUnifiedTopology: true });
-    client.connect((err) => {
-        if (err) {
-            console.error('Failed to connect to the server', err);
-            return;
-        }
-        // console.log('Connected successfully to server');
-        const db = client.db(dbName);
-        const collection = db.collection('gameData');
-        // const data = req.body;
-        const { userId, gameName, gameID, gameTime, score, screenShot } = req.body;
-        const data = {
-            userId: userId,
-            gameName: gameName,
-            gameID: gameID,
-            gameTime: gameTime,
-            score: score
-        };
-
-        collection.insertOne(data, (err, result) => {
-            if (err) {
-                console.error('Failed to insert document', err);
-            } else {
-                // console.log('Document inserted with _id: ', result.insertedId);
-            }
-            client.close((err) => {
-                if (err) {
-                    console.error('Failed to close connection', err);
-                } else {
-                    // console.log('Connection closed');
-                    const s3 = new AWS.S3({
-                        accessKeyId: process.env.AWS_ACCESS_KEY_ID,
-                        secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
-                        region: process.env.AWS_REGION
-                    });
-                    if (screenShot != undefined) {
-                        // Upload image to S3
-                        let base64Image = screenShot.split(";base64,").pop();
-                        const buffer = Buffer.from(base64Image, 'base64');
-                        const s3Params = {
-                          Bucket: process.env.S3_BUCKET_NAME,
-                          Key: `images/${result.insertedId}.png`, // Change the file extension to .png
-                          Body: buffer,
-                          ContentEncoding: 'base64',
-                          ContentType: 'image/jpeg' // Change the content type to image/png
-                        };
-                        try {
-                          const data = s3.upload(s3Params).promise();
-                          console.log(`File uploaded successfully at ${data.Location}`);
-                        } catch (err) {
-                          console.error(err);
-                        }
-                      };
-                    res.send(result.insertedId);
-                }
-            });
-        });
-    });
-  };
-  
-  module.exports = saveGameScore;
-  

src/routes/api/saveGameScore2.js

@@ -0,0 +1,70 @@
+const AWS = require("aws-sdk");
+const mongoose = require("mongoose");
+const Game = require("../../models/gameModel");
+
+const s3 = new AWS.S3({
+  accessKeyId: process.env.AWS_ACCESS_KEY_ID,
+  secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
+  region: process.env.AWS_REGION,
+});
+
+// MongoDB Connection
+const mongoURI = process.env.MONGODB_URL;
+const dbName = process.env.MONGO_DB_NAME;
+
+mongoose.connect(mongoURI, {
+    dbName: dbName,
+    useNewUrlParser: true,
+    useUnifiedTopology: true,
+  })
+  .then(() => 
+  console.log("Connected to MongoDB"))
+  .catch((err) => console.error("MongoDB connection error:", err));
+
+const saveGameScore2 = async (req, res) => {
+  const { childId, gameName, gameID, gameTime, score, gameStar, screenShot } = req.body;
+
+  try {
+    if (!gameName || !childId || !gameID) {
+      return res.status(400).json({ error: "Missing required fields" });
+    }
+
+    const newGame = new Game({
+      gameName,
+      childId,
+      gameID,
+      gameTime,
+      score,
+      gameStar,
+    });
+
+    // Save to MongoDB
+    const result = await newGame.save();
+    // Upload screenshot to S3 if provided
+    if (screenShot) {
+      let base64Image = screenShot.split(";base64,").pop();
+      const buffer = Buffer.from(base64Image, "base64");
+
+      const uploadParams = {
+        Bucket: process.env.S3_BUCKET_NAME,
+        Key: `images/${result._id}.png`,
+        Body: buffer,
+        ContentType: "image/png",
+      };
+
+      const s3Response = await s3.upload(uploadParams).promise();
+      newGame.screenshotUrl = s3Response.Location;
+      await newGame.save();
+    }
+
+    res.status(200).json({
+      message: "Game data saved successfully",
+      data: newGame,
+    });
+  } catch (error) {
+    console.error("Error:", error);
+    res.status(500).json({ error: "Internal Server Error" });
+  }
+};
+
+module.exports = saveGameScore2;

src/routes/v1/api.route.js

@@ -22,7 +22,20 @@ const saveQuizResponse = require("../api/saveQuizResponse");
 const getGameScore = require("../api/getGameScore");
 const resultAfterQuizSubmit = require("../api/resultAfterQuizSubmit");
 const generateQuestions = require("../api/generateQuestions");
-const saveGameScore = require("../api/saveGameScore");
+// const saveGameScore = require("../api/saveGameScore");
+const saveGameScore2 = require("../api/saveGameScore2");
+const aiFeedbackOnReport = require("../api/aiFeedbackOnReport");
+const aiFeedbackActionParent = require("../api/aiFeedbackActionParent");
+const aiFollowupQuestion = require("../api/aiFollowupQuestion");
+const aiMarkDrawing = require("../api/aiMarkDrawing");
+const aiFeedbackOnReportWithFollowup = require("../api/aiFeedbackOnReportWithFollowup");
+const aiTextToSpeech = require("../api/aiTextToSpeech");
+const aiEvaluateImageToStar = require("../api/aiEvaluateImageToStar");
+const getGameInfo = require("../api/getGameInfo");
+const saveGalleryImage = require("../api/saveGalleryImage");
+const getGalleryImage = require("../api/getGalleryImage");
+const getGameData = require("../api/getGameData");
+// const aiTest = require("../api/aiTest");
 
 
 const router = express.Router();
@@ -138,10 +151,74 @@ router.get("/ping", (req, res) => {
   });
   
   // For Quiz Result After Submit Quiz
-  router.post("/saveGameScore", (req, res) => {
+  // router.post("/saveGameScore", (req, res) => {
-    saveGameScore(req, res);
+  //   saveGameScore(req, res);
+  // });
+  
+  // For Quiz Result After Submit Quiz
+  router.post("/saveGameScore2", (req, res) => {
+    saveGameScore2(req, res);
   });
   
+    
+  // AI feedback for teacher on children's report card
+  router.post("/aiFeedbackOnReport", (req, res) => {
+    aiFeedbackOnReport(req, res);
+  });
+  // AI feedback for teacher on children's report card
+  router.post("/aiFeedbackOnReportWithFollowup", (req, res) => {
+    aiFeedbackOnReportWithFollowup(req, res);
+  });
+  
+  // AI top ten action items for a parent of this child.
+  router.post("/aiFeedbackActionParent", (req, res) => {
+    aiFeedbackActionParent(req, res);
+  });
+
+  // AI to respond on initial and followup questions.
+  router.post("/aiFollowupQuestion", (req, res) => {
+    aiFollowupQuestion(req, res);
+  });
+
+  // AI to provide star for drawing.
+  router.post("/aiMarkDrawing", (req, res) => {
+    aiMarkDrawing(req, res);
+  });
+
+  // AI to provide star for drawing.
+  router.post("/aiTextToSpeech", (req, res) => {
+    aiTextToSpeech(req, res);
+  });
+
+  // AI to provide star for drawing.
+  router.post("/aiEvaluateImageToStar", (req, res) => {
+    aiEvaluateImageToStar(req, res);
+  });
+
+  // getGameInfo.
+  router.get("/getGameInfo", (req, res) => {
+    getGameInfo(req, res);
+  });
+  
+  // Save Drawing Game Gallery Image
+  router.post("/saveGalleryImage", (req, res) => {
+    saveGalleryImage(req, res);
+  });
+
+  // Get Drawing Game Gallery Image
+  router.get("/getGalleryImage", (req, res) => {
+    getGalleryImage(req, res);
+  });
+
+  router.get("/getGameData", (req, res) => {
+    getGameData(req, res);
+  });
+
+  // Get Drawing Game Gallery Image
+  // router.post("/aiTest", (req, res) => {
+  //   aiTest(req, res);
+  // });
+  
 
 module.exports = router;