feat: Complete Smart Resume Formatter with R2 and Gemini AI integration
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- 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
This commit is contained in:
Laxmi Khilnani
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INTEGRATION_COMPLETE.md
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INTEGRATION_COMPLETE.md
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# Integration Complete! 🎉
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## What We've Done:
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### ✅ 1. Fixed Environment Variables
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- Updated `.env` files with correct `APP_NAME=resumeformatter`
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- Added Cloudflare R2 credentials to root `.env`
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- Fixed frontend `.env` to use `VITE_APP_NAME=resumeformatter`
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### ✅ 2. Added Backend Dependencies
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Added to `requirements.txt`:
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- `boto3==1.34.51` - AWS SDK (works with R2)
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- `python-multipart==0.0.9` - For file uploads
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- `google-generativeai==0.3.2` - Gemini AI SDK
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### ✅ 3. Created R2 Service (`backend/app/services/r2_service.py`)
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Functions:
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- `list_templates()` - Get all templates from R2
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- `get_template_content(name)` - Download template HTML
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- `upload_converted_file()` - Upload HTML/PDF to R2
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- `list_converted_resumes()` - Get conversion history
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- `get_file_url()` - Generate presigned download URLs
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### ✅ 4. Created AI Service (`backend/app/services/ai_service.py`)
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Functions:
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- `extract_text_from_resume()` - Extract text from PDF/DOCX using Gemini Vision
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- `generate_html_from_template()` - Merge resume data into template using Gemini
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### ✅ 5. Created Resume API Endpoints (`backend/app/api/endpoints/resumes.py`)
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Endpoints:
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- `GET /api/resumes/templates` - List available templates
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- `GET /api/resumes/templates/{name}` - Get template content
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- `POST /api/resumes/convert` - Convert resume (accepts file + template name)
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- `GET /api/resumes/history` - Get conversion history
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- `GET /api/resumes/download/{key}` - Get download URL
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### ✅ 6. Updated Configuration
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- Added R2 and Gemini settings to `backend/app/core/config.py`
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- Updated `docker-compose.yml` to pass environment variables
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- Registered resume endpoints in API router
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## Next Steps:
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### 🎯 Option 1: Test Docker Build (Recommended)
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Since you don't have Node.js installed locally, use Docker:
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```bash
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# Build and run with Docker
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docker-compose up --build
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```
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Then test at: http://localhost:8080/resumeformatter
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### 🎯 Option 2: Update Frontend to Use Backend API
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The frontend currently has mock R2 functions. We need to:
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1. Create API service functions in frontend
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2. Replace mock functions with real API calls
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3. Remove AI logic from frontend (now handled by backend)
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### 🎯 Option 3: Install Node.js for Local Development
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If you want to develop locally:
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```bash
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# Install Node.js (macOS)
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brew install node
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# Then install frontend dependencies
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cd frontend
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npm install
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```
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## Architecture Summary:
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```
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┌─────────────────────────────────────────────────────┐
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│ USER BROWSER │
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│ http://localhost:8080 │
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└──────────────────────┬──────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────┐
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│ FRONTEND (React + Vite) │
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│ - Upload resume file │
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│ - Select template │
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│ - Preview HTML │
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│ - Download files │
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└──────────────────────┬──────────────────────────────┘
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│ API Calls
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▼
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┌─────────────────────────────────────────────────────┐
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│ BACKEND (FastAPI + Python) │
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│ │
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│ ┌─────────────────────────────────────────┐ │
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│ │ Resume Endpoints │ │
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│ │ /api/resumes/* │ │
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│ └──────────┬──────────────────────────────┘ │
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│ │ │
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│ ┌────────┴────────┐ │
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│ ▼ ▼ │
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│ ┌──────────┐ ┌──────────┐ │
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│ │ R2 │ │ AI │ │
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│ │ Service │ │ Service │ │
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│ └──────────┘ └──────────┘ │
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│ │ │ │
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└───────┼────────────────┼────────────────────────────┘
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│ │
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▼ ▼
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┌───────────────┐ ┌──────────────┐
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│ Cloudflare R2 │ │ Gemini AI │
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│ - Templates │ │ - Vision │
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│ - Resumes │ │ - Text Gen │
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└───────────────┘ └──────────────┘
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```
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## API Flow Example:
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1. **User uploads resume.pdf + selects "Google" template**
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2. **Frontend → POST /api/resumes/convert**
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- Sends file + template_name
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3. **Backend extracts text** → Gemini Vision API
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4. **Backend fetches template** → R2 Storage
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5. **Backend generates HTML** → Gemini Text API
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6. **Backend uploads HTML** → R2 Storage
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7. **Backend returns** → { html_content, html_url }
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8. **Frontend displays preview** and allows download
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## Environment Variables Reference:
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```bash
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# Root .env (for Docker)
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APP_NAME=resumeformatter
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GEMINI_API_KEY=AIzaSyB4Y9qrGynW3UNflYcQC-HGlJxOe_ty6VI
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R2_ENDPOINT=https://cba4afd7666247724ece1f34e1aace6c.r2.cloudflarestorage.com
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R2_ACCESS_KEY_ID=8f7244b0e7f9c8297a606af0073d4a5a
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R2_SECRET_ACCESS_KEY=17845714ff4c2e5f33f09740112be47925d0fab93d27b26982964cd14808b60b
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R2_BUCKET_NAME=e-teams
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# Frontend .env (for Vite)
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VITE_APP_NAME=resumeformatter
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GEMINI_API_KEY=AIzaSyB4Y9qrGynW3UNflYcQC-HGlJxOe_ty6VI
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```
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## Testing Checklist:
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- [ ] Docker builds successfully
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- [ ] Can access app at http://localhost:8080/resumeformatter
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- [ ] API docs at http://localhost:8080/resumeformatter/api/docs
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- [ ] Can list templates from R2
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- [ ] Can upload and convert resume
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- [ ] Can view conversion history
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- [ ] Can download HTML files
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## What Would You Like to Do Next?
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**A)** Test the Docker build now (`docker-compose up --build`)
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**B)** Update frontend to use new backend API
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**C)** Install Node.js for local development
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**D)** Something else?
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Let me know and I'll guide you through it! 🚀
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