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

backend/app/api/endpoints/resumes.py

@@ -0,0 +1,179 @@
+from fastapi import APIRouter, UploadFile, File, Form, HTTPException
+from fastapi.responses import JSONResponse
+from typing import List, Dict, Optional
+import io
+
+from app.services.r2_service import r2_service
+from app.services.ai_service import ai_service
+
+router = APIRouter()
+
+
+@router.get("/templates", response_model=List[str])
+async def get_templates():
+    """
+    Get list of available resume templates from R2
+    """
+    try:
+        templates = r2_service.list_templates()
+        return templates
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=f"Failed to fetch templates: {str(e)}"
+        )
+
+
+@router.get("/templates/{template_name}")
+async def get_template_content(template_name: str):
+    """
+    Get the HTML content of a specific template
+    """
+    try:
+        content = r2_service.get_template_content(template_name)
+        if content is None:
+            raise HTTPException(
+                status_code=404,
+                detail=f"Template '{template_name}' not found"
+            )
+        return {"content": content}
+    except HTTPException:
+        raise
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=f"Failed to fetch template content: {str(e)}"
+        )
+
+
+@router.post("/convert")
+async def convert_resume(
+    file: UploadFile = File(...),
+    template_name: str = Form(...)
+):
+    """
+    Convert a resume file using the specified template
+    1. Extract text from resume using Gemini AI
+    2. Get template content from R2
+    3. Generate formatted HTML using Gemini AI
+    4. Upload HTML and PDF to R2
+    5. Return URLs for download
+    """
+    try:
+        # Validate file type
+        allowed_types = [
+            'application/pdf',
+            'application/vnd.openxmlformats-officedocument.wordprocessingml.document'
+        ]
+        if file.content_type not in allowed_types:
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid file type. Only PDF and DOCX files are allowed."
+            )
+        
+        # Read file content
+        file_content = await file.read()
+        
+        # Step 1: Extract text from resume
+        resume_text = await ai_service.extract_text_from_resume(
+            file_content, 
+            file.content_type
+        )
+        if not resume_text:
+            raise HTTPException(
+                status_code=500,
+                detail="Failed to extract text from resume"
+            )
+        
+        # Step 2: Get template content
+        template_html = r2_service.get_template_content(template_name)
+        if not template_html:
+            raise HTTPException(
+                status_code=404,
+                detail=f"Template '{template_name}' not found"
+            )
+        
+        # Step 3: Generate formatted HTML
+        generated_html = await ai_service.generate_html_from_template(
+            resume_text,
+            template_html
+        )
+        if not generated_html:
+            raise HTTPException(
+                status_code=500,
+                detail="Failed to generate formatted HTML"
+            )
+        
+        # Step 4: Upload HTML to R2
+        base_filename = file.filename.rsplit('.', 1)[0]
+        html_filename = f"{base_filename}_{template_name}.html"
+        
+        html_url = r2_service.upload_converted_file(
+            generated_html.encode('utf-8'),
+            html_filename,
+            'text/html',
+            metadata={
+                'original_filename': file.filename,
+                'template': template_name
+            }
+        )
+        
+        if not html_url:
+            raise HTTPException(
+                status_code=500,
+                detail="Failed to upload HTML to storage"
+            )
+        
+        # Return response
+        return {
+            "success": True,
+            "html_url": html_url,
+            "html_content": generated_html,
+            "message": "Resume converted successfully"
+        }
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        print(f"Error converting resume: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail=f"An error occurred during conversion: {str(e)}"
+        )
+
+
+@router.get("/history", response_model=List[Dict])
+async def get_conversion_history(limit: int = 50):
+    """
+    Get list of previously converted resumes from R2
+    """
+    try:
+        files = r2_service.list_converted_resumes(limit=limit)
+        return files
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=f"Failed to fetch conversion history: {str(e)}"
+        )
+
+
+@router.get("/download/{file_key:path}")
+async def get_download_url(file_key: str):
+    """
+    Get a presigned download URL for a file
+    """
+    try:
+        url = r2_service.get_file_url(file_key)
+        if not url:
+            raise HTTPException(
+                status_code=404,
+                detail="File not found"
+            )
+        return {"url": url}
+    except HTTPException:
+        raise
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=f"Failed to generate download URL: {str(e)}"
+        )