# Visualization Module Plan

## 🎯 **Core Vision**

Create a comprehensive visualization module for graph data with two primary modes:
- **`.interactive()`** - Rich HTML/JS interactive visualizations served via Rust
- **`.static()`** - High-quality static image rendering with styling options

## 📊 **Visualization Architecture**

### Primary Interface
```python
# Interactive visualizations
g.viz.interactive()                    # Default interactive plot
g.viz.interactive(layout="force")      # Specific layout algorithm
g.viz.interactive(style="dark")        # Themed visualization

# Static visualizations  
g.viz.static()                         # Default static plot
g.viz.static(format="png", dpi=300)    # High-resolution export
g.viz.static(layout="circular", style="publication")  # Styled output
```

## 🌐 **Interactive Visualization (.interactive())**

### Technology Stack
- **Backend:** Rust-based HTTP server (using `warp` or `axum`)
- **Frontend:** Modern web technologies (D3.js, Three.js, or custom WebGL)
- **Communication:** WebSocket for real-time updates
- **Rendering:** Client-side GPU acceleration when possible

### Core Features
- **Live Graph Manipulation:** Drag nodes, zoom, pan
- **Real-time Updates:** Graph changes reflect immediately
- **Multiple Layouts:** Force-directed, hierarchical, circular, custom
- **Interactive Analysis:** Click for node/edge details, filtering
- **Export Options:** Save as PNG, SVG, or share links

### Implementation Components
```
src/viz/
├── interactive/
│   ├── server.rs           # Rust HTTP/WebSocket server
│   ├── layouts/            # Layout algorithm implementations
│   │   ├── force_directed.rs
│   │   ├── hierarchical.rs
│   │   └── circular.rs
│   ├── web/                # Frontend assets
│   │   ├── js/
│   │   │   ├── renderer.js     # Main visualization engine
│   │   │   ├── layouts.js      # Client-side layout helpers
│   │   │   └── interactions.js # User interaction handling
│   │   ├── css/
│   │   │   └── styles.css      # Visualization styling
│   │   └── html/
│   │       └── viewer.html     # Main visualization template
│   └── api.rs              # REST API for graph data
```

### Interactive Features Roadmap

#### Phase 1: Basic Interactive
- [ ] Simple force-directed layout
- [ ] Basic node/edge rendering
- [ ] Zoom and pan controls
- [ ] Node hover information

#### Phase 2: Advanced Interactions
- [ ] Multiple layout algorithms
- [ ] Node dragging and repositioning
- [ ] Real-time filtering and search
- [ ] Edge bundling for large graphs

#### Phase 3: Analysis Integration
- [ ] Centrality visualization
- [ ] Community detection highlighting
- [ ] Path finding visualization
- [ ] Time-series graph animation

## 🖼️ **Static Visualization (.static())**

### Technology Stack
- **Primary:** Rust-based rendering (using `resvg`, `tiny-skia`, or `plotters`)
- **Alternative:** Python integration (`matplotlib`, `graphviz`) via PyO3
- **Formats:** PNG, SVG, PDF support
- **Styling:** CSS-like styling system

### Core Features
- **High-Quality Output:** Publication-ready images
- **Multiple Formats:** PNG, SVG, PDF, EPS
- **Custom Styling:** Themes, color schemes, typography
- **Layout Options:** Professional graph layouts
- **Batch Export:** Generate multiple variations

### Implementation Components
```
src/viz/
├── static/
│   ├── renderers/
│   │   ├── svg.rs              # SVG output renderer
│   │   ├── png.rs              # PNG raster renderer
│   │   └── pdf.rs              # PDF vector renderer
│   ├── layouts/
│   │   ├── graphviz.rs         # Graphviz layout integration
│   │   ├── custom.rs           # Custom layout algorithms
│   │   └── grid.rs             # Grid-based layouts
│   ├── styling/
│   │   ├── themes.rs           # Predefined themes
│   │   ├── colors.rs           # Color palette management
│   │   └── typography.rs       # Font and text styling
│   └── export.rs               # File export utilities
```

### Static Features Roadmap

#### Phase 1: Basic Static
- [ ] Simple node-link diagrams
- [ ] PNG and SVG export
- [ ] Basic styling options
- [ ] Common layout algorithms

#### Phase 2: Advanced Styling
- [ ] Theme system (dark, light, publication)
- [ ] Custom color palettes
- [ ] Typography controls
- [ ] Edge styling options

#### Phase 3: Professional Output
- [ ] PDF export with vector graphics
- [ ] High-DPI support
- [ ] Batch processing
- [ ] Template system

## 🎨 **Styling and Theming System**

### Theme Architecture
```python
# Built-in themes
g.viz.interactive(theme="dark")
g.viz.static(theme="publication")
g.viz.interactive(theme="colorblind_friendly")

# Custom styling
style = {
    "nodes": {
        "color": "steelblue",
        "size": "degree",
        "border": {"width": 2, "color": "white"}
    },
    "edges": {
        "color": "gray",
        "width": "weight",
        "opacity": 0.7
    },
    "layout": {
        "algorithm": "force",
        "parameters": {"charge": -300, "distance": 50}
    }
}
g.viz.interactive(style=style)
```

### Predefined Themes
- **Default:** Clean, modern appearance
- **Dark:** Dark background for presentations
- **Publication:** Black and white, print-ready
- **Colorblind:** Accessible color schemes
- **Minimal:** Clean, distraction-free
- **Scientific:** Data-focused styling

## 🏗️ **Technical Implementation**

### Rust Core Module Structure
```rust
// src/viz/mod.rs
pub mod interactive;
pub mod static_viz;
pub mod layouts;
pub mod styling;
pub mod server;

pub struct VizModule {
    graph: Arc<Graph>,
    config: VizConfig,
}

impl VizModule {
    pub fn interactive(&self, options: InteractiveOptions) -> Result<VizServer> {
        // Launch interactive server
    }
    
    pub fn static_viz(&self, options: StaticOptions) -> Result<StaticOutput> {
        // Generate static visualization
    }
}
```

### Python FFI Interface
```python
# python-groggy/src/ffi/viz/mod.rs
#[pyclass(name = "Viz")]
pub struct PyViz {
    graph: Py<PyGraph>,
    inner: VizModule,
}

#[pymethods]
impl PyViz {
    fn interactive(&self, py: Python, options: Option<PyDict>) -> PyResult<PyObject> {
        // Launch interactive visualization
    }
    
    fn static(&self, py: Python, options: Option<PyDict>) -> PyResult<PyObject> {
        // Generate static visualization
    }
}
```

## 🚀 **Development Phases**

### Phase VIZ-1: Foundation (1-2 weeks)
- [ ] Basic module structure
- [ ] Simple static PNG output
- [ ] Basic interactive server
- [ ] Core layout algorithms

**Deliverables:**
- `g.viz.static()` produces basic PNG
- `g.viz.interactive()` launches simple web server
- Force-directed and circular layouts

### Phase VIZ-2: Core Features (2-3 weeks)
- [ ] Multiple output formats (SVG, PDF)
- [ ] Theme system implementation
- [ ] Advanced layouts (hierarchical, custom)
- [ ] Interactive controls (zoom, pan, select)

**Deliverables:**
- Professional static output options
- Rich interactive experience
- Styling customization system

### Phase VIZ-3: Advanced Features (3-4 weeks)
- [ ] Real-time graph updates
- [ ] Performance optimization for large graphs
- [ ] Advanced analytics visualization
- [ ] Export and sharing capabilities

**Deliverables:**
- Production-ready visualization system
- Large graph support (1000+ nodes)
- Integration with analysis modules

## 🎯 **API Design Goals**

### Simplicity
```python
# One-liner visualizations
g.viz.interactive()  # Just works
g.viz.static("graph.png")  # Simple export
```

### Flexibility
```python
# Advanced customization
g.viz.interactive(
    layout="force",
    theme="dark", 
    width=1200,
    height=800,
    physics={"charge": -500, "distance": 100}
)
```

### Integration
```python
# Seamless with analysis
communities = g.communities()
g.viz.interactive(color_by=communities, layout="modularity")

centrality = g.centrality.betweenness()
g.viz.static("centrality.png", size_by=centrality, theme="publication")
```

## 🔧 **Technical Considerations**

### Performance
- **Large Graphs:** Level-of-detail rendering, clustering
- **Memory Usage:** Streaming data for massive graphs
- **Responsiveness:** Non-blocking operations, progress indicators

### Dependencies
- **Minimal Core:** Basic functionality with minimal deps
- **Optional Features:** Advanced features with optional deps
- **Fallbacks:** Graceful degradation when deps unavailable

### Browser Compatibility
- **Modern Browsers:** Primary target (Chrome, Firefox, Safari, Edge)
- **Mobile Support:** Touch-friendly interactions
- **Accessibility:** Screen reader support, keyboard navigation

## 🎪 **Future Extensions**

### 3D Visualization
- WebGL-based 3D graph rendering
- VR/AR graph exploration
- Immersive analytics

### Specialized Views
- Matrix visualization for adjacency matrices
- Hierarchical edge bundling
- Geographic graph overlays

### Collaboration
- Multi-user interactive sessions
- Shared visualization links
- Annotation and commenting

### Performance
- GPU acceleration
- WebAssembly optimization
- Progressive loading

## 📊 **Success Metrics**

### User Experience
- Time to first visualization: <2 seconds
- Interactive responsiveness: <100ms for basic operations
- Export quality: Publication-ready output

### Technical Performance
- Support graphs up to 10,000 nodes smoothly
- Memory usage: <500MB for typical graphs
- Load time: <5 seconds for complex visualizations

### Developer Experience  
- Simple API: One-line basic visualizations
- Flexible customization: Deep styling control
- Good documentation: Examples for common use cases

This visualization module will provide both immediate utility (quick graph inspection) and professional capabilities (publication-ready outputs and rich interactive analysis).