# Web UI Architecture & Implementation Plan

## Executive Summary

**Goal:** Transform RDFMap into a containerized application (like Neo4j) with a backend API + modern web UI.

**Timeline:** 6-8 weeks  
**Impact:** 9.3/10 → 9.8/10 (5x adoption potential)

---

## Recommended Tech Stack

### Backend API Layer
**FastAPI** (Python) - Perfect choice because:
- ✅ **Same language** as your core library (seamless integration)
- ✅ **Auto-generated OpenAPI docs** (Swagger UI included)
- ✅ **Async support** for long-running operations
- ✅ **WebSocket support** for real-time progress updates
- ✅ **Pydantic integration** (you already use it!)
- ✅ **Fast** (hence the name)
- ✅ **Type-safe** (matches your existing code style)

### Frontend Framework
**React + TypeScript** - Industry standard because:
- ✅ **Largest ecosystem** (tons of graph/viz libraries)
- ✅ **TypeScript** for type safety (matches your backend)
- ✅ **React Flow** for visual mapping editor
- ✅ **D3.js** for ontology visualization
- ✅ **Material-UI (MUI)** for polished components
- ✅ **React Query** for API state management
- ✅ **Extensive hiring pool** if you scale

**Alternative:** Svelte + TypeScript (simpler, faster, but smaller ecosystem)

### Graph Visualization
**vis.js** or **Cytoscape.js** - For ontology graphs:
- Interactive node/edge graphs
- Force-directed layouts
- Zoom, pan, search
- Click to inspect properties

**React Flow** - For mapping editor:
- Visual column-to-property connections
- Drag-and-drop interface
- Connection validation
- Beautiful, smooth interactions

### State Management
**React Query (TanStack Query)** - For API state:
- Automatic caching
- Background refetching
- Optimistic updates
- Loading/error states

**Zustand** - For UI state (simpler than Redux):
- Lightweight
- TypeScript-first
- Easy to learn

### Real-Time Updates
**WebSockets** (FastAPI native):
- Progress updates during long-running conversions
- Live alignment report generation
- Real-time validation feedback

### Containerization
**Docker Compose** - Multi-container setup:
- `rdfmap-api` (FastAPI backend)
- `rdfmap-ui` (React frontend via nginx)
- `rdfmap-db` (PostgreSQL for mapping history + user data)
- Optional: `rdfmap-redis` (for job queue/caching)

---

## Architecture Overview

```
┌─────────────────────────────────────────────────────────────┐
│                        Docker Compose                        │
│                                                              │
│  ┌────────────────┐  ┌─────────────────┐  ┌──────────────┐ │
│  │  rdfmap-ui     │  │  rdfmap-api     │  │  rdfmap-db   │ │
│  │  (nginx)       │  │  (FastAPI)      │  │  (PostgreSQL)│ │
│  │  Port: 8080    │  │  Port: 8000     │  │  Port: 5432  │ │
│  │                │  │                 │  │              │ │
│  │  React App  ───┼──▶ REST API    ───┼──▶ User Data    │ │
│  │  TypeScript    │  │  WebSockets    │  │  Mappings    │ │
│  │  React Flow    │  │  RDFMap Core   │  │  History     │ │
│  │  D3.js         │  │  Pydantic      │  │              │ │
│  └────────────────┘  └─────────────────┘  └──────────────┘ │
│                                                              │
│  Optional:                                                   │
│  ┌────────────────┐  ┌─────────────────┐                    │
│  │  rdfmap-redis  │  │  rdfmap-worker  │                    │
│  │  (Cache/Queue) │  │  (Celery)       │                    │
│  └────────────────┘  └─────────────────┘                    │
└─────────────────────────────────────────────────────────────┘
```

---

## Key Features to Implement

### Phase 1: Core API (2 weeks)

#### 1.1 Project Management
```python
POST   /api/projects                  # Create new project
GET    /api/projects                  # List projects
GET    /api/projects/{id}            # Get project details
DELETE /api/projects/{id}            # Delete project
PUT    /api/projects/{id}            # Update project
```

#### 1.2 File Upload & Analysis
```python
POST   /api/projects/{id}/upload-data       # Upload CSV/Excel/JSON/XML
POST   /api/projects/{id}/upload-ontology   # Upload TTL/OWL/RDF
GET    /api/projects/{id}/data-preview      # Preview data (first 100 rows)
GET    /api/projects/{id}/ontology-graph    # Get ontology structure
```

#### 1.3 Mapping Generation
```python
POST   /api/projects/{id}/generate           # Auto-generate mappings
GET    /api/projects/{id}/mappings          # Get current mappings
PUT    /api/projects/{id}/mappings/{col}    # Update single mapping
POST   /api/projects/{id}/mappings/accept   # Accept auto-suggestions
POST   /api/projects/{id}/mappings/reject   # Reject suggestions
```

#### 1.4 Conversion & Download
```python
POST   /api/projects/{id}/convert           # Convert to RDF
GET    /api/projects/{id}/status            # Check conversion status
GET    /api/projects/{id}/download          # Download RDF file
GET    /api/projects/{id}/preview-rdf       # Preview RDF (first 100 triples)
```

#### 1.5 Validation & Reports
```python
POST   /api/projects/{id}/validate          # Validate against ontology
GET    /api/projects/{id}/alignment-report  # Get alignment report
GET    /api/projects/{id}/validation-report # Get validation report
```

#### 1.6 WebSocket Events
```python
WS     /ws/projects/{id}                    # Real-time updates
# Events: progress, complete, error, log
```

---

### Phase 2: Visual Mapping Editor (3 weeks)

#### 2.1 Column-to-Property Mapper
- **Left Panel:** Data columns (from uploaded file)
- **Right Panel:** Ontology properties (from uploaded ontology)
- **Center:** Visual connections (React Flow)
- **Actions:**
  - Drag column to property to create mapping
  - Click connection to see confidence score
  - Edit connection to change data type/transform
  - Delete connection to remove mapping
  - Auto-layout button to organize graph

#### 2.2 Interactive Review Interface
- **Table View:** List all mappings with confidence
- **Actions per row:**
  - ✅ Accept (green checkmark)
  - ❌ Reject (red X)
  - ✏️ Edit (modify mapping)
  - 🔍 View alternatives (show top 5 suggestions)
- **Bulk Actions:**
  - Accept all high confidence (>0.8)
  - Review all low confidence (<0.5)
  - Export to YAML

#### 2.3 Ontology Explorer
- **Graph View:** Interactive ontology visualization
- **Features:**
  - Classes as nodes (sized by # of properties)
  - Properties as edges (colored by datatype)
  - Zoom, pan, search
  - Click class to see all properties
  - Highlight mapped vs. unmapped
  - Filter by namespace/domain

---

### Phase 3: Advanced Features (2 weeks)

#### 3.1 Template Gallery
- **Browse Templates:** Card view with preview
- **Categories:** Financial, Healthcare, E-commerce, etc.
- **Details:** Description, example data, compatible formats
- **Actions:** Use template, preview, fork/customize

#### 3.2 Real-Time RDF Preview
- **Split View:**
  - Left: Mapping configuration
  - Right: Generated RDF (live update)
- **Features:**
  - Syntax highlighting (Turtle/JSON-LD/RDF-XML)
  - Line numbers
  - Search
  - Download button

#### 3.3 Validation Dashboard
- **Metrics Cards:**
  - Total triples generated
  - Validation status (✅ pass / ❌ fail)
  - Confidence distribution (chart)
  - Processing time
- **Error List:** Detailed validation errors with line numbers
- **Suggestions:** Auto-fix recommendations

#### 3.4 History & Learning
- **View Past Projects:** Table with filters
- **Clone Project:** Reuse configurations
- **Learning Insights:** "You often map X to Y" suggestions
- **Export/Import:** Share configurations with team

---

## Implementation Plan

### Week 1-2: Backend API Foundation

**Tasks:**
1. Create FastAPI application structure
2. Implement core endpoints (projects, upload, generate)
3. Integrate existing RDFMap library
4. Add WebSocket support for progress
5. Write API tests (pytest)
6. Generate OpenAPI/Swagger docs

**Deliverable:** Working REST API that exposes all RDFMap functionality

---

### Week 3-4: Frontend Scaffolding

**Tasks:**
1. Set up React + TypeScript + Vite
2. Design component hierarchy
3. Implement routing (React Router)
4. Create layout (header, sidebar, main)
5. Build project list/create screens
6. Implement file upload with drag-drop
7. Set up API client (React Query)

**Deliverable:** Basic UI that can create projects and upload files

---

### Week 5-6: Visual Mapping Editor

**Tasks:**
1. Integrate React Flow for visual mapping
2. Build column/property node components
3. Implement drag-drop connection creation
4. Add confidence score overlays
5. Create edit/delete interactions
6. Build alternative suggestions modal
7. Implement table view fallback

**Deliverable:** Interactive mapping editor (core feature!)

---

### Week 7-8: Polish & Deployment

**Tasks:**
1. Add ontology graph visualization (Cytoscape.js)
2. Implement RDF preview panel
3. Build validation dashboard
4. Create template gallery
5. Write Docker Compose configuration
6. Add environment variable configuration
7. Write deployment documentation
8. Performance optimization

**Deliverable:** Production-ready containerized application

---

## Detailed Tech Recommendations

### Backend: FastAPI Application Structure

```
rdfmap-web/
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── main.py              # FastAPI app
│   │   ├── config.py            # Settings (env vars)
│   │   ├── database.py          # SQLAlchemy setup
│   │   ├── models/              # SQLAlchemy models
│   │   │   ├── project.py
│   │   │   ├── mapping.py
│   │   │   └── user.py
│   │   ├── schemas/             # Pydantic schemas
│   │   │   ├── project.py
│   │   │   ├── mapping.py
│   │   │   └── responses.py
│   │   ├── routers/             # API endpoints
│   │   │   ├── projects.py
│   │   │   ├── mappings.py
│   │   │   ├── conversion.py
│   │   │   └── websockets.py
│   │   ├── services/            # Business logic
│   │   │   ├── rdfmap_service.py  # Wraps your library
│   │   │   ├── file_service.py
│   │   │   └── validation_service.py
│   │   └── utils/
│   │       ├── logging.py
│   │       └── exceptions.py
│   ├── tests/
│   ├── requirements.txt
│   └── Dockerfile
```

**Key Dependencies:**
```txt
fastapi==0.104.1
uvicorn[standard]==0.24.0
pydantic==2.5.0
pydantic-settings==2.1.0
sqlalchemy==2.0.23
alembic==1.12.1          # Database migrations
python-multipart==0.0.6   # File uploads
websockets==12.0
aiofiles==23.2.1         # Async file handling
python-jose==3.3.0       # JWT tokens (if auth needed)
passlib==1.7.4           # Password hashing
redis==5.0.1             # Optional: caching
celery==5.3.4            # Optional: background jobs
```

### Frontend: React Application Structure

```
rdfmap-web/
├── frontend/
│   ├── src/
│   │   ├── main.tsx
│   │   ├── App.tsx
│   │   ├── components/
│   │   │   ├── layout/
│   │   │   │   ├── Header.tsx
│   │   │   │   ├── Sidebar.tsx
│   │   │   │   └── Layout.tsx
│   │   │   ├── projects/
│   │   │   │   ├── ProjectList.tsx
│   │   │   │   ├── ProjectCard.tsx
│   │   │   │   └── CreateProject.tsx
│   │   │   ├── mapping/
│   │   │   │   ├── MappingEditor.tsx
│   │   │   │   ├── ColumnNode.tsx
│   │   │   │   ├── PropertyNode.tsx
│   │   │   │   ├── ConnectionEdge.tsx
│   │   │   │   └── ReviewTable.tsx
│   │   │   ├── ontology/
│   │   │   │   ├── OntologyGraph.tsx
│   │   │   │   └── ClassInspector.tsx
│   │   │   ├── rdf/
│   │   │   │   ├── RDFPreview.tsx
│   │   │   │   └── ValidationDashboard.tsx
│   │   │   └── templates/
│   │   │       ├── TemplateGallery.tsx
│   │   │       └── TemplateCard.tsx
│   │   ├── hooks/
│   │   │   ├── useProjects.ts
│   │   │   ├── useMappings.ts
│   │   │   ├── useWebSocket.ts
│   │   │   └── useOntology.ts
│   │   ├── services/
│   │   │   └── api.ts           # Axios/Fetch wrapper
│   │   ├── stores/
│   │   │   └── uiStore.ts       # Zustand store
│   │   ├── types/
│   │   │   ├── project.ts
│   │   │   ├── mapping.ts
│   │   │   └── ontology.ts
│   │   ├── utils/
│   │   │   └── helpers.ts
│   │   └── styles/
│   │       └── theme.ts
│   ├── public/
│   ├── package.json
│   ├── tsconfig.json
│   ├── vite.config.ts
│   └── Dockerfile
```

**Key Dependencies:**
```json
{
  "dependencies": {
    "react": "^18.2.0",
    "react-dom": "^18.2.0",
    "react-router-dom": "^6.20.0",
    "typescript": "^5.3.0",
    "@tanstack/react-query": "^5.12.0",
    "axios": "^1.6.2",
    "zustand": "^4.4.7",
    "@mui/material": "^5.14.20",
    "@mui/icons-material": "^5.14.19",
    "@emotion/react": "^11.11.1",
    "@emotion/styled": "^11.11.0",
    "reactflow": "^11.10.1",
    "cytoscape": "^3.28.1",
    "cytoscape-react": "^2.0.0",
    "d3": "^7.8.5",
    "@types/d3": "^7.4.3",
    "monaco-editor": "^0.45.0",
    "@monaco-editor/react": "^4.6.0",
    "react-dropzone": "^14.2.3",
    "recharts": "^2.10.3",
    "date-fns": "^2.30.0"
  }
}
```

---

## Docker Compose Configuration

```yaml
# docker-compose.yml
version: '3.8'

services:
  # Backend API
  api:
    build: ./backend
    container_name: rdfmap-api
    ports:
      - "8000:8000"
    environment:
      - DATABASE_URL=postgresql://rdfmap:rdfmap@db:5432/rdfmap
      - REDIS_URL=redis://redis:6379/0
      - CORS_ORIGINS=http://localhost:8080
    volumes:
      - ./data:/app/data          # Persistent data
      - ./uploads:/app/uploads    # Uploaded files
    depends_on:
      - db
      - redis
    command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

  # Frontend UI
  ui:
    build: ./frontend
    container_name: rdfmap-ui
    ports:
      - "8080:80"
    depends_on:
      - api
    environment:
      - VITE_API_URL=http://localhost:8000

  # PostgreSQL Database
  db:
    image: postgres:16-alpine
    container_name: rdfmap-db
    environment:
      - POSTGRES_DB=rdfmap
      - POSTGRES_USER=rdfmap
      - POSTGRES_PASSWORD=rdfmap
    volumes:
      - postgres_data:/var/lib/postgresql/data
    ports:
      - "5432:5432"

  # Redis (optional: for caching/queue)
  redis:
    image: redis:7-alpine
    container_name: rdfmap-redis
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data

  # Celery Worker (optional: for background jobs)
  worker:
    build: ./backend
    container_name: rdfmap-worker
    command: celery -A app.worker worker --loglevel=info
    environment:
      - DATABASE_URL=postgresql://rdfmap:rdfmap@db:5432/rdfmap
      - REDIS_URL=redis://redis:6379/0
    depends_on:
      - db
      - redis
    volumes:
      - ./data:/app/data
      - ./uploads:/app/uploads

volumes:
  postgres_data:
  redis_data:
```

**Usage:**
```bash
# Start everything
docker-compose up -d

# View logs
docker-compose logs -f api

# Stop everything
docker-compose down

# Reset database
docker-compose down -v
```

---

## Key UI/UX Mockups

### 1. Project Dashboard
```
┌────────────────────────────────────────────────────────────┐
│ RDFMap                                    [User] [Settings] │
├────────────────────────────────────────────────────────────┤
│                                                              │
│  Projects                                  [+ New Project]  │
│                                                              │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │ 📊 Loans     │  │ 📈 Customers │  │ 🏥 Patients  │     │
│  │ Modified: 1h │  │ Modified: 2d │  │ Modified: 5d │     │
│  │ Status: ✅   │  │ Status: ⚠️   │  │ Status: ✅   │     │
│  │ 1,234 rows  │  │ 5,678 rows  │  │ 10K rows    │     │
│  └──────────────┘  └──────────────┘  └──────────────┘     │
│                                                              │
│  Recent Activity                                             │
│  • Loans: Converted to RDF (5 minutes ago)                  │
│  • Customers: Mapping generated (2 hours ago)                │
│  • Patients: Uploaded data (1 day ago)                       │
│                                                              │
└────────────────────────────────────────────────────────────┘
```

### 2. Visual Mapping Editor
```
┌────────────────────────────────────────────────────────────┐
│ Project: Loans Mapping                    [Save] [Convert]  │
├────────────────────────────────────────────────────────────┤
│ ┌─────────┐  ┌───────────────────────────┐  ┌──────────┐  │
│ │ Columns │  │   Mapping Canvas          │  │Properties│  │
│ ├─────────┤  │                           │  ├──────────┤  │
│ │ LoanID  │──┼─→ [0.98] ─→ loanNumber   │  │ Loan     │  │
│ │         │  │                           │  │  Props   │  │
│ │Borrower │──┼─→ [0.85] ─→ hasBorrower  │  │          │  │
│ │   Name  │  │         ↓                │  │ Borrower │  │
│ │         │  │    borrowerName          │  │  Props   │  │
│ │Principal│──┼─→ [0.92] ─→ principalAmt │  │          │  │
│ │         │  │                           │  │ Property │  │
│ │Interest │──┼─→ [0.95] ─→ interestRate │  │  Props   │  │
│ │  Rate   │  │                           │  │          │  │
│ │         │  │                           │  │          │  │
│ │Property │──┼─→ [0.88] ─→ collateral   │  │          │  │
│ │ Address │  │         ↓                │  │          │  │
│ │         │  │    propertyAddress       │  │          │  │
│ └─────────┘  └───────────────────────────┘  └──────────┘  │
│                                                              │
│ Status: 6/6 columns mapped • Avg confidence: 0.91           │
│ [Auto-layout] [Table View] [Review Suggestions]             │
└────────────────────────────────────────────────────────────┘
```

### 3. Interactive Review Table
```
┌────────────────────────────────────────────────────────────┐
│ Review Mappings                   [Accept All] [Export]     │
├────────────────────────────────────────────────────────────┤
│ Column      → Property        Confidence  Type    Actions   │
│ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  │
│ LoanID      → loanNumber        🟢 0.98   String  ✅ ❌ ✏️  │
│ BorrowerName→ borrowerName      🟢 0.95   String  ✅ ❌ ✏️  │
│ Principal   → principalAmount   🟢 0.92   Decimal ✅ ❌ ✏️  │
│ InterestRate→ interestRate      🟡 0.88   Decimal ✅ ❌ ✏️  │
│ PropertyAddr→ propertyAddress   🟡 0.85   String  ✅ ❌ ✏️  │
│ OriginDate  → originationDate   🟠 0.72   Date    ✅ ❌ ✏️  │
│                                                              │
│ 🔍 Click ✏️ to see alternative suggestions                  │
│                                                              │
│ [< Back to Visual Editor]        [Continue to Conversion >] │
└────────────────────────────────────────────────────────────┘
```

### 4. Ontology Explorer
```
┌────────────────────────────────────────────────────────────┐
│ Ontology: Mortgage Loans                [Search]            │
├────────────────────────────────────────────────────────────┤
│                                                              │
│                    ┌──────────────┐                         │
│                    │   Borrower   │                         │
│                    │   (Person)   │                         │
│                    └──────┬───────┘                         │
│                           │ hasBorrower                     │
│                           ↓                                 │
│              ┌────────────────────────┐                     │
│              │    MortgageLoan        │                     │
│              │  ● loanNumber          │                     │
│              │  ● principalAmount     │                     │
│              │  ● interestRate        │                     │
│              │  ● originationDate     │                     │
│              └────────┬───────────────┘                     │
│                       │ collateralProperty                  │
│                       ↓                                     │
│                  ┌──────────┐                               │
│                  │ Property │                               │
│                  │ (Asset)  │                               │
│                  └──────────┘                               │
│                                                              │
│  Legend: 🟢 Mapped  ⚪ Unmapped  🔵 Selected                │
│                                                              │
│  [Export Graph] [Print] [Full Screen]                       │
└────────────────────────────────────────────────────────────┘
```

---

## Performance Considerations

### Backend Optimization
1. **Async Everything**: Use `async def` for all endpoints
2. **Background Jobs**: Long conversions run in Celery
3. **Caching**: Redis for ontology graphs, mapping results
4. **Streaming**: Stream large RDF files via `StreamingResponse`
5. **Database Indexes**: On project_id, user_id, created_at

### Frontend Optimization
1. **Code Splitting**: Lazy load routes with `React.lazy()`
2. **Virtual Scrolling**: For large column/property lists
3. **Debounced Search**: Don't query on every keystroke
4. **Memoization**: Use `React.memo()` for heavy components
5. **Bundle Size**: Keep < 500KB initial bundle

### Network Optimization
1. **WebSockets**: For real-time updates (avoid polling)
2. **Compression**: Enable gzip in nginx
3. **CDN**: Serve static assets from CDN
4. **GraphQL** (optional): If REST gets chatty

---

## Security Considerations

### Authentication & Authorization
```python
# JWT-based auth (optional for v1, required for production)
POST /api/auth/register
POST /api/auth/login
GET  /api/auth/me
POST /api/auth/logout
```

### Data Isolation
- Each project owned by user
- Row-level security in database
- File uploads scoped to user/project

### Input Validation
- File size limits (100MB default)
- File type validation (CSV, Excel, JSON, XML, TTL, OWL only)
- YAML/JSON schema validation
- SQL injection prevention (SQLAlchemy ORM)
- XSS prevention (React escaping)

### Rate Limiting
```python
from slowapi import Limiter
limiter = Limiter(key_func=get_remote_address)

@app.post("/api/projects/{id}/convert")
@limiter.limit("5/minute")  # Max 5 conversions per minute
async def convert_project(...):
    ...
```

---

## Deployment Options

### Option 1: Single-Server Docker Compose (Simplest)
**Best for:** Personal use, demos, small teams (< 10 users)

```bash
# One command deployment
docker-compose up -d
```

**Resources:** 2GB RAM, 2 CPUs, 20GB disk

---

### Option 2: Kubernetes (Scalable)
**Best for:** Production, multiple teams, high availability

**Benefits:**
- Auto-scaling based on load
- Rolling updates (zero downtime)
- Health checks & auto-restart
- Load balancing

**Setup:**
```bash
kubectl apply -f k8s/
```

---

### Option 3: Cloud Managed (Easiest)
**Best for:** Fast deployment, minimal ops

**Options:**
- **AWS:** ECS Fargate + RDS + ElastiCache
- **Azure:** Container Apps + Azure Database
- **GCP:** Cloud Run + Cloud SQL + Memorystore
- **DigitalOcean:** App Platform (simplest!)

---

## Monetization Strategy (If Interested)

### Freemium Model
**Free Tier:**
- Up to 3 projects
- 10K rows per file
- Community support

**Pro Tier ($29/mo):**
- Unlimited projects
- 1M rows per file
- Priority support
- Team collaboration (3 users)

**Enterprise ($199/mo):**
- Unlimited everything
- SSO/SAML
- Dedicated support
- On-premise deployment
- Custom matchers

### SaaS vs. Self-Hosted
- **SaaS:** rdfmap.io (you host and charge)
- **Self-Hosted:** Enterprise customers deploy in their VPC
- **Hybrid:** Offer both (like GitLab)

---

## Next Steps: Getting Started

### Week 1 Action Items

1. **Set up project structure:**
   ```bash
   mkdir rdfmap-web
   cd rdfmap-web
   mkdir backend frontend
   git init
   ```

2. **Initialize FastAPI backend:**
   ```bash
   cd backend
   python -m venv venv
   source venv/bin/activate
   pip install fastapi uvicorn sqlalchemy pydantic-settings
   # Copy structure from above
   ```

3. **Initialize React frontend:**
   ```bash
   cd ../frontend
   npm create vite@latest . -- --template react-ts
   npm install
   npm install @tanstack/react-query axios reactflow @mui/material
   ```

4. **Create first API endpoint:**
   ```python
   # backend/app/main.py
   from fastapi import FastAPI
   from rdfmap import __version__
   
   app = FastAPI(title="RDFMap API", version=__version__)
   
   @app.get("/")
   def root():
       return {"message": "RDFMap API", "version": __version__}
   
   @app.get("/api/health")
   def health():
       return {"status": "healthy"}
   ```

5. **Test API:**
   ```bash
   uvicorn app.main:app --reload
   # Visit http://localhost:8000/docs
   ```

6. **Create first React component:**
   ```tsx
   // frontend/src/App.tsx
   import { useQuery } from '@tanstack/react-query';
   
   function App() {
     const { data } = useQuery(['health'], () =>
       fetch('http://localhost:8000/api/health').then(r => r.json())
     );
     
     return <div>API Status: {data?.status}</div>;
   }
   ```

---

## Conclusion

This architecture gives you:

✅ **Neo4j-style deployment** (docker-compose up and go)  
✅ **Modern, maintainable stack** (FastAPI + React)  
✅ **Production-ready** (auth, validation, security)  
✅ **Scalable** (can grow from 1 to 10K users)  
✅ **Beautiful UX** (visual mapping, real-time updates)  
✅ **Type-safe** (TypeScript + Pydantic throughout)  

**Estimated Timeline:** 6-8 weeks to MVP  
**Estimated Impact:** 9.3/10 → 9.8/10  
**Adoption Potential:** 5-10x increase

This would transform RDFMap from an excellent CLI tool into an indispensable platform. The containerized approach means users can deploy it just like Neo4j or similar tools they're familiar with.

Want me to generate the initial scaffolding code to get you started?

