Ai

.dockerignore

@@ -0,0 +1,3 @@
+node_modules
+.git
+.env

.github/workflows/deploy.yml

@@ -0,0 +1,31 @@
+name: Deploy to EC2
+
+on:
+  push:
+    branches:
+      - ai
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up SSH
+        run: |
+          mkdir -p ~/.ssh
+          echo "${{ secrets.EC2_SSH_KEY }}" > ~/.ssh/id_ed25519
+          chmod 600 ~/.ssh/id_ed25519
+          ssh-keyscan -H ${{ secrets.EC2_HOST }} >> ~/.ssh/known_hosts
+
+      - name: Deploy to EC2
+        run: |
+          ssh ${{ secrets.EC2_HOST }} << 'EOF'
+            set -e
+            echo "Pulling latest container..."
+            podman stop bun-backend || true
+            podman rm bun-backend || true
+            podman pull http://docker.io/abhishek194/resume-xpert-backend:latest
+            podman run -d --name bun-backend -p 3000:3000 --env-file /home/ubuntu/.env docker.io/<username>/<image>:latest
+          EOF

.github/workflows/gitlab-sync.yml

@@ -21,5 +21,5 @@ jobs:
           git remote add gitlab https://oauth2:${{ secrets.GITLAB_TOKEN }}@gitlab.com/abhishek_nitdelhi/cvexpert-backend.git
 
           # Push only the master branch and tags
-          git push gitlab master
+          git push gitlab main
           git push gitlab --tags

Dockerfile

@@ -0,0 +1,18 @@
+# Use official Node.js image as base
+FROM oven/bun:1.1.13-alpine
+
+# Set working directory
+WORKDIR /app
+
+# Copy package files and install dependencies
+COPY package.json bun.lockb ./
+RUN bun install --production
+
+# Copy source code
+COPY . .
+
+# Expose port (change if your app uses a different port)
+EXPOSE 3000
+
+# Start the backend server in production mode
+CMD ["bun", "start"]

package.json

@@ -3,7 +3,8 @@
   "module": "index.ts",
   "type": "module",
   "scripts": {
-    "dev": "bun --watch src/server.ts"
+    "dev": "bun --watch src/server.ts",
+    "run": "bun run src/server.ts"
   },
   "devDependencies": {
     "@elysiajs/swagger": "^1.2.0",

src/routes/analyzeRoutes.ts

@@ -26,21 +26,37 @@ const analyzeRoute = new Elysia({ prefix: '/analyze' })
     async ({ body, error }: any) => {
       console.log('Analyze Route called');
       const { fileID, file, userID } = body;
+      let progress = 0;
       try {
+        // Step 1: File Upload
+        progress = 1;
         const access = await checkFileAccess(fileID, userID);
         if (!access) {
-          return error(403, 'You do not have access to this file');
+          return { error: 'You do not have access to this file', progress };
         }
         console.log('File access granted');
+        // Step 2: Detecting Word Length
+        progress = 2;
+        // Simulate word length detection (replace with actual logic if needed)
+        // Step 3: Parsing
+        progress = 3;
+        // Simulate parsing (replace with actual logic if needed)
+        // Step 4: Scanning Fields
+        progress = 4;
+        // Simulate scanning fields (replace with actual logic if needed)
+        // Step 5: Analyzing Content
+        progress = 5;
         const response = await analyzeFileUsingAI(file, fileID);
+        // Step 6: Generating Report
+        progress = 6;
         if (response) {
-          return response;
+          return { ...response, progress };
         } else {
-          return error(500, 'Failed to analyze the file');
+          return { error: 'Failed to analyze the file', progress };
         }
       } catch (err) {
         console.error(err);
-        return error(500, 'An internal error occurred while processing the file.');
+        return { error: 'An internal error occurred while processing the file.', progress };
       }
     },
     {