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