feat: Complete Smart Resume Formatter with R2 and Gemini AI integration

- Integrated Cloudflare R2 for template storage and converted file management
- Added Google Gemini AI for resume parsing and HTML generation
- Created backend API endpoints for templates, conversion, and history
- Refactored frontend to use real API instead of mock data
- Fixed Docker networking issues (IPv6/IPv4) for R2 connectivity
- Added resumeService.ts for frontend API integration
- Updated Vite configuration for proper asset serving in Docker
- Successfully tested with 13 templates from R2 bucket

test_r2_direct.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+"""
+Test R2 connection directly
+"""
+import boto3
+from botocore.client import Config
+
+# R2 Configuration
+R2_ENDPOINT = "https://cba4afd7666247724ece1f34e1aace6c.r2.cloudflarestorage.com"
+R2_ACCESS_KEY_ID = "8f7244b0e7f9c8297a606af0073d4a5a"
+R2_SECRET_ACCESS_KEY = "17845714ff4c2e5f33f09740112be47925d0fab93d27b26982964cd14808b60b"
+R2_BUCKET_NAME = "e-teams"
+
+print("Testing R2 Connection...")
+print(f"Endpoint: {R2_ENDPOINT}")
+print(f"Bucket: {R2_BUCKET_NAME}\n")
+
+try:
+    # Create S3 client
+    s3_client = boto3.client(
+        's3',
+        endpoint_url=R2_ENDPOINT,
+        aws_access_key_id=R2_ACCESS_KEY_ID,
+        aws_secret_access_key=R2_SECRET_ACCESS_KEY,
+        config=Config(
+            signature_version='s3v4',
+            s3={'addressing_style': 'path'}
+        ),
+        region_name='auto'
+    )
+    
+    # Test 1: List all objects in bucket
+    print("Test 1: Listing ALL objects in bucket...")
+    response = s3_client.list_objects_v2(Bucket=R2_BUCKET_NAME)
+    
+    if 'Contents' in response:
+        print(f"✅ Found {len(response['Contents'])} objects:")
+        for obj in response['Contents'][:10]:  # Show first 10
+            print(f"   - {obj['Key']} ({obj['Size']} bytes)")
+        if len(response['Contents']) > 10:
+            print(f"   ... and {len(response['Contents']) - 10} more")
+    else:
+        print("⚠️  Bucket is empty or no objects found")
+    
+    print("\n" + "="*50 + "\n")
+    
+    # Test 2: List objects with templates prefix
+    print("Test 2: Listing objects with 'templates/' prefix...")
+    response = s3_client.list_objects_v2(
+        Bucket=R2_BUCKET_NAME,
+        Prefix="templates/"
+    )
+    
+    if 'Contents' in response:
+        print(f"✅ Found {len(response['Contents'])} template(s):")
+        for obj in response['Contents']:
+            print(f"   - {obj['Key']}")
+    else:
+        print("⚠️  No templates found with prefix 'templates/'")
+    
+    print("\n" + "="*50 + "\n")
+    
+    # Test 3: Try without prefix
+    print("Test 3: Checking if templates exist without prefix...")
+    response = s3_client.list_objects_v2(Bucket=R2_BUCKET_NAME)
+    
+    if 'Contents' in response:
+        html_files = [obj['Key'] for obj in response['Contents'] if obj['Key'].endswith('.html')]
+        if html_files:
+            print(f"✅ Found {len(html_files)} HTML file(s):")
+            for file in html_files:
+                print(f"   - {file}")
+        else:
+            print("⚠️  No .html files found in bucket")
+    
+    print("\n✅ R2 Connection Test Complete!")
+    
+except Exception as e:
+    print(f"❌ Error: {e}")
+    import traceback
+    traceback.print_exc()