# 🎨 Groggy 0.5.0 Visualization Module Roadmap

## 🎯 **Release Vision: Interactive HTML Graph Visualization**

**Target**: Release 0.5.0 with a fully interactive, HTML/JavaScript-based graph visualization system that's **super clickable, interactable, hoverable, and selectable** - transforming static graph analysis into dynamic exploration.

**Core Philosophy**: Build on our existing display foundation to create browser-based graph visualizations that feel like modern data applications - responsive, beautiful, and incredibly interactive.

## 🌟 **Key Features for 0.5.0**

### **1. Interactive Graph Visualization** 
```python
# One-line interactive graph launch
g.viz.interactive()                    # Default force-directed layout
g.viz.interactive(layout="hierarchical", theme="dark")
g.viz.interactive(layout="circular", style="publication")

# Rich interaction features
g.viz.interactive(
    clickable_nodes=True,      # Click nodes for details
    hoverable_edges=True,      # Hover for edge weights/attributes  
    selectable_regions=True,   # Drag-select multiple nodes
    zoom_controls=True,        # Mouse wheel zoom, pan, 'rotate' different embedding dimensions
    filter_panel=True,         # Interactive filtering sidebar
    search_box=True           # Real-time node/edge search
)
```

### **2. Real-Time Data Integration**
- **Live Updates**: Graph changes instantly reflect in browser
- **Interactive Analysis**: Click to explore neighborhoods, communities
- **Attribute Inspection**: Hover to see node/edge data, click for detailed views
- **Dynamic Filtering**: Real-time attribute-based filtering with immediate visual feedback

### **3. Professional Visual Quality**
- **Beautiful Layouts**: Force-directed, hierarchical, circular, grid layouts
- **Responsive Design**: Works perfectly on desktop, tablet, mobile
- **Modern Styling**: CSS3 animations, smooth transitions, professional themes
- **High Performance**: 60fps animations, smooth zooming/panning even with large graphs

## 🏗️ **Technical Architecture Overview**

### **Foundation Integration**
Building directly on our **delegation architecture** - visualization functionality implemented in BaseTable/BaseArray foundations, with all specialized types getting it automatically:

```rust
// Foundation classes get ALL visualization functionality
impl BaseTable {
    // Existing display (already implemented)
    fn __repr__(&self) -> String { /* compact Unicode */ }
    fn _repr_html_(&self) -> String { /* semantic HTML */ }
    
    // NEW: Interactive visualization (0.5.0 target)
    fn viz(&self) -> VizModule {
        VizModule::new(self.as_graph_data())
    }
}

// ALL specialized types get visualization via delegation
impl NodesTable {
    fn viz(&self) -> VizModule {
        self.base_table.viz()  // Pure delegation
    }
}

// Same for: EdgesTable, GraphTable, ComponentsArray, etc.
```

### **Technology Stack**
- **Backend**: Rust WebSocket server with graph layout algorithms
- **Frontend**: Modern TypeScript/React with D3.js for visualizations  
- **Communication**: WebSocket for real-time updates, HTTP for initial load
- **Styling**: CSS3 with professional themes, responsive design
- **Performance**: WebGL acceleration for large graphs (1000+ nodes)

## 📊 **Interactive Features Deep Dive**

### **Node Interactions**
```javascript
// Rich node interactions
nodeElement.addEventListener('click', (event) => {
    // Show node details panel
    showNodeDetails(node.id, node.attributes);
    
    // Highlight connected edges
    highlightNeighborhood(node.id);
    
    // Update info panel with node metrics
    updateInfoPanel({
        degree: node.degree,
        centrality: node.betweenness_centrality,
        community: node.community_id
    });
});

nodeElement.addEventListener('mouseover', (event) => {
    // Smooth hover effects
    node.setAttribute('r', node.baseRadius * 1.2);  // Grow on hover
    showTooltip(node.attributes);                    // Rich tooltip
    highlightConnectedEdges(node.id);               // Edge highlighting
});
```

### **Edge Interactions**
```javascript
// Interactive edge exploration
edgeElement.addEventListener('click', (event) => {
    // Show edge properties
    showEdgeDetails(edge.source, edge.target, edge.attributes);
    
    // Highlight shortest path
    if (edge.isPartOfPath) {
        highlightPath(edge.pathId);
    }
});

edgeElement.addEventListener('mouseover', (event) => {
    // Dynamic edge styling
    edge.style.strokeWidth = edge.baseWidth * 2;    // Thicken on hover
    showEdgeTooltip(edge.weight, edge.attributes);  // Show edge data
});
```

### **Selection and Manipulation**
```javascript
// Multi-node selection with drag
let selectionBox = new SelectionBox();
canvas.addEventListener('mousedown', startDragSelect);
canvas.addEventListener('mousemove', updateDragSelect);
canvas.addEventListener('mouseup', finalizeDragSelect);

function finalizeDragSelect(event) {
    let selectedNodes = getNodesInBounds(selectionBox.bounds);
    
    // Bulk operations on selected nodes
    selectedNodes.forEach(node => {
        node.classList.add('selected');
    });
    
    // Enable bulk actions
    showBulkActionPanel(selectedNodes);
}
```

## 🎨 **Visual Design System**

### **Layout Algorithms**
```rust
pub enum LayoutAlgorithm {
    ForceDirected {
        charge: f64,           // Node repulsion strength
        distance: f64,         // Ideal edge length
        iterations: usize,     // Simulation steps
    },
    Hierarchical {
        direction: Direction,  // Top-down, left-right, etc.
        layer_spacing: f64,    // Vertical/horizontal spacing
        node_spacing: f64,     // Spacing within layers
    },
    Circular {
        radius: f64,           // Circle radius
        start_angle: f64,      // Starting angle
        node_ordering: NodeOrdering, // By degree, alphabetical, etc.
    },
    Grid {
        columns: usize,        // Grid width
        cell_size: f64,        // Cell dimensions
        alignment: Alignment,  // Center, top-left, etc.
    },
    Custom(Box<dyn LayoutEngine>), // User-defined layouts
}
```

### **Theme System**
```rust
pub struct VizTheme {
    // Node styling
    pub node_colors: ColorPalette,
    pub node_sizes: SizeMapping,
    pub node_shapes: ShapeSet,
    
    // Edge styling  
    pub edge_colors: ColorPalette,
    pub edge_widths: WidthMapping,
    pub edge_styles: LineStyleSet,
    
    // Layout styling
    pub background: BackgroundStyle,
    pub grid: GridStyle,
    pub animations: AnimationConfig,
}

pub enum BuiltInTheme {
    Light,           // Clean light theme
    Dark,            // Professional dark theme
    Publication,     // Academic paper style
    Neon,            // High-contrast neon colors
    Minimal,         // Ultra-clean minimal design
    ColorblindSafe,  // Accessible color palette
}
```

### **Responsive Design**
```css
/* Mobile-first responsive visualization */
.groggy-viz {
    /* Touch-friendly controls */
    --touch-target-size: 44px;
    --pan-sensitivity: 1.2;
    --zoom-sensitivity: 0.8;
}

@media (max-width: 768px) {
    .groggy-viz {
        /* Larger nodes for touch */
        --min-node-size: 8px;
        
        /* Simplified controls */
        --show-advanced-controls: none;
        
        /* Optimized performance */
        --animation-duration: 0.2s;
    }
}

@media (min-width: 1200px) {
    .groggy-viz {
        /* Desktop enhancements */
        --max-nodes-before-clustering: 5000;
        --enable-gpu-acceleration: true;
        --high-dpi-rendering: true;
    }
}
```

## 🚀 **Implementation Phases**

### **Phase 1: Foundation & Core Visualization (Weeks 1-3)**

#### **1.1 Rust Backend Infrastructure**
```rust
// Core visualization engine
pub struct VizModule {
    graph_data: Arc<GraphData>,
    layout_engine: LayoutEngine,
    websocket_server: WebSocketServer,
    theme_system: ThemeSystem,
}

impl VizModule {
    pub fn interactive(&self, config: VizConfig) -> InteractiveViz {
        // Launch browser interface with WebSocket server
        let server = self.websocket_server.start(config.port)?;
        let layout = self.layout_engine.compute(config.layout)?;
        
        InteractiveViz::new(server, layout, config)
    }
    
    pub fn static_viz(&self, config: StaticConfig) -> StaticViz {
        // Generate PNG/SVG/PDF exports
        let layout = self.layout_engine.compute(config.layout)?;
        let renderer = StaticRenderer::new(config.format, config.theme);
        
        renderer.render(layout, config)
    }
}
```

#### **1.2 WebSocket Communication**
```rust
// Real-time communication between Rust and browser
pub struct GraphWebSocketHandler {
    graph_data: Arc<RwLock<GraphData>>,
    active_sessions: HashMap<SessionId, SessionState>,
}

impl GraphWebSocketHandler {
    async fn handle_message(&self, session_id: SessionId, message: VizMessage) {
        match message {
            VizMessage::GetNodeData { node_id } => {
                let node_data = self.graph_data.read().await.get_node(node_id);
                self.send_to_session(session_id, VizResponse::NodeData(node_data)).await;
            }
            VizMessage::UpdateLayout { algorithm, parameters } => {
                let new_layout = self.compute_layout(algorithm, parameters).await;
                self.broadcast_layout_update(new_layout).await;
            }
            VizMessage::FilterNodes { criteria } => {
                let filtered_nodes = self.apply_filter(criteria).await;
                self.send_to_session(session_id, VizResponse::FilteredNodes(filtered_nodes)).await;
            }
        }
    }
}
```

#### **1.3 Python API Integration**

**🎯 DUAL API ARCHITECTURE CLARIFICATION:**

Based on implementation feedback, we're implementing a **dual API approach** to support both graph-level and table-level visualization:

1. **Graph-Level API**: `g.viz.interactive()` - Full graph visualization with comprehensive layout options
2. **Table-Level API**: `table.interactive()` - Focused table visualization via delegation pattern

```python
# FFI integration for seamless Python experience

# GRAPH-LEVEL VISUALIZATION API
# g.viz.interactive() - Main graph visualization interface
class PyGraphViz:
    def __init__(self, graph_data):
        self.inner = VizModule::new(graph_data)
    
    def interactive(self, 
                   layout="force",
                   theme="light", 
                   port=8080,
                   width=1200,
                   height=800,
                   **kwargs):
        """Launch interactive browser visualization for entire graph."""
        config = VizConfig(
            layout=layout,
            theme=theme,
            port=port,
            dimensions=(width, height),
            **kwargs
        )
        return self.inner.interactive(config)
    
    def static(self, 
               filename,
               format="png",
               layout="force",
               theme="publication",
               dpi=300,
               **kwargs):
        """Generate static visualization export for graph."""
        config = StaticConfig(
            filename=filename,
            format=format,
            layout=layout,
            theme=theme,
            dpi=dpi,
            **kwargs
        )
        return self.inner.static_viz(config)

# TABLE-LEVEL VISUALIZATION API  
# table.interactive() - Delegated table visualization
class PyBaseTable:
    def interactive(self,
                   layout="force",
                   theme="light",
                   port=8080,
                   **kwargs):
        """Launch interactive visualization for this table's data."""
        # Delegation pattern: Create VizModule from table data
        data_source = Arc::new(self.table.clone())
        viz_module = VizModule::new(data_source)
        return viz_module.interactive(VizConfig(...))

# Usage Examples:
# g.viz.interactive()                    # Full graph visualization
# g.nodes.table().interactive()          # Node-focused visualization  
# g.edges.table().interactive()          # Edge-focused visualization
# standalone_table.interactive()         # Generic table visualization
```

**✅ API Design Status**: Both APIs implemented and working as of Phase 6 completion
```

**Week 1-3 Deliverables**:
- ✅ Basic WebSocket server with graph data serving
- ✅ Core layout algorithms (force-directed, circular)
- ✅ Python `.viz.interactive()` API launching browser
- ✅ Basic node/edge rendering in browser
- ✅ Real-time communication between Rust and JavaScript

### **Phase 2: Interactive Features & User Experience (Weeks 4-6)**

#### **2.1 Rich Node/Edge Interactions**
```typescript
// Frontend interaction system
interface NodeInteractionConfig {
    onClick?: (node: GraphNode, event: MouseEvent) => void;
    onHover?: (node: GraphNode, event: MouseEvent) => void;
    onDoubleClick?: (node: GraphNode, event: MouseEvent) => void;
    onRightClick?: (node: GraphNode, event: MouseEvent) => void;
}

class InteractiveGraphRenderer {
    private nodes: Map<string, GraphNode> = new Map();
    private edges: Map<string, GraphEdge> = new Map();
    private selectionManager: SelectionManager;
    private tooltipManager: TooltipManager;
    
    setupNodeInteractions(node: GraphNode, config: NodeInteractionConfig) {
        node.element.addEventListener('click', (event) => {
            // Visual feedback
            this.highlightNode(node.id);
            this.showNodeDetails(node);
            
            // User callback
            config.onClick?.(node, event);
            
            // Update info panel
            this.updateInfoPanel({
                type: 'node',
                data: node.attributes,
                connections: this.getConnectedNodes(node.id)
            });
        });
        
        node.element.addEventListener('mouseover', (event) => {
            // Smooth animations
            gsap.to(node.element, {
                scale: 1.2,
                duration: 0.2,
                ease: "power2.out"
            });
            
            // Rich tooltip
            this.tooltipManager.show({
                content: this.renderNodeTooltip(node),
                position: { x: event.clientX, y: event.clientY },
                followMouse: true
            });
            
            // Highlight connections
            this.highlightConnectedEdges(node.id);
            
            config.onHover?.(node, event);
        });
    }
}
```

#### **2.2 Selection and Filtering System**
```typescript
// Multi-node selection with drag-to-select
class SelectionManager {
    private selectedNodes: Set<string> = new Set();
    private selectionBox: SelectionBox;
    
    startDragSelect(startX: number, startY: number) {
        this.selectionBox = new SelectionBox(startX, startY);
        this.canvas.addEventListener('mousemove', this.updateDragSelect);
        this.canvas.addEventListener('mouseup', this.finalizeDragSelect);
    }
    
    updateDragSelect = (event: MouseEvent) => {
        this.selectionBox.updateBounds(event.clientX, event.clientY);
        this.visualizeSelectionBox();
        
        // Preview selection
        const nodesInBounds = this.getNodesInBounds(this.selectionBox.bounds);
        this.previewSelection(nodesInBounds);
    }
    
    finalizeDragSelect = (event: MouseEvent) => {
        const selectedNodes = this.getNodesInBounds(this.selectionBox.bounds);
        this.setSelection(selectedNodes);
        
        // Enable bulk operations
        this.showBulkActionsPanel(selectedNodes);
        
        // Cleanup
        this.hideSelectionBox();
        this.removeEventListeners();
    }
}

// Real-time filtering system
class FilterManager {
    private activeFilters: Map<string, FilterFunction> = new Map();
    
    addAttributeFilter(attribute: string, operator: string, value: any) {
        const filterFn = (node: GraphNode) => {
            const nodeValue = node.attributes[attribute];
            switch (operator) {
                case 'equals': return nodeValue === value;
                case 'contains': return String(nodeValue).includes(String(value));
                case 'greater_than': return Number(nodeValue) > Number(value);
                case 'less_than': return Number(nodeValue) < Number(value);
                default: return true;
            }
        };
        
        this.activeFilters.set(`${attribute}_${operator}`, filterFn);
        this.applyFilters();
    }
    
    applyFilters() {
        this.nodes.forEach(node => {
            const isVisible = Array.from(this.activeFilters.values())
                .every(filter => filter(node));
            
            this.setNodeVisibility(node.id, isVisible);
        });
        
        this.updateLayout();
    }
}
```

#### **2.3 Advanced Layout Controls**
```typescript
// Dynamic layout switching with smooth transitions
class LayoutManager {
    private currentLayout: LayoutAlgorithm;
    private layoutWorker: Worker;
    
    switchLayout(newLayout: LayoutAlgorithm, animationDuration: number = 1000) {
        // Compute new positions in background
        this.layoutWorker.postMessage({
            type: 'compute_layout',
            algorithm: newLayout,
            nodes: this.getNodeData(),
            edges: this.getEdgeData()
        });
        
        this.layoutWorker.onmessage = (event) => {
            const newPositions = event.data.positions;
            this.animateToNewPositions(newPositions, animationDuration);
        };
    }
    
    animateToNewPositions(newPositions: NodePositions, duration: number) {
        this.nodes.forEach((node, nodeId) => {
            const newPos = newPositions[nodeId];
            
            gsap.to(node.element, {
                x: newPos.x,
                y: newPos.y,
                duration: duration / 1000,
                ease: "power3.inOut",
                onComplete: () => {
                    node.position = newPos;
                }
            });
        });
    }
}
```

**Week 4-6 Deliverables**:
- ✅ Rich click/hover interactions for nodes and edges
- ✅ Multi-node selection with drag-to-select
- ✅ Real-time attribute-based filtering
- ✅ Dynamic layout switching with smooth animations
- ✅ Professional tooltip system with rich content
- ✅ Bulk operations on selected nodes/edges

### **Phase 3: Performance & Polish (Weeks 7-8)**

#### **3.1 Performance Optimization**
```rust
// Large graph handling with level-of-detail rendering
pub struct PerformanceManager {
    node_count_thresholds: PerformanceThresholds,
    current_lod_level: LevelOfDetail,
    clustering_engine: ClusteringEngine,
}

impl PerformanceManager {
    pub fn optimize_for_node_count(&mut self, node_count: usize) {
        match node_count {
            0..=100 => {
                self.current_lod_level = LevelOfDetail::Full;
                // Render all nodes with full detail
            }
            101..=1000 => {
                self.current_lod_level = LevelOfDetail::Medium;
                // Simplified edge rendering, full nodes
            }
            1001..=10000 => {
                self.current_lod_level = LevelOfDetail::Low;
                // Node clustering, edge bundling
            }
            _ => {
                self.current_lod_level = LevelOfDetail::Minimal;
                // Aggressive clustering, minimal rendering
            }
        }
    }
    
    pub fn cluster_nodes(&self, nodes: &[GraphNode]) -> Vec<NodeCluster> {
        // Community-based clustering for large graphs
        self.clustering_engine.cluster_by_community(nodes)
    }
}
```

#### **3.2 Mobile Responsiveness**
```css
/* Mobile-optimized visualization */
@media (max-width: 768px) {
    .groggy-viz-container {
        /* Full screen on mobile */
        position: fixed;
        top: 0;
        left: 0;
        width: 100vw;
        height: 100vh;
        z-index: 1000;
    }
    
    .groggy-viz-controls {
        /* Touch-friendly control panel */
        position: absolute;
        bottom: 20px;
        left: 50%;
        transform: translateX(-50%);
        
        button {
            min-width: 44px;  /* Minimum touch target */
            min-height: 44px;
            font-size: 18px;
            margin: 8px;
        }
    }
    
    .groggy-viz-node {
        /* Larger nodes for touch */
        min-width: 12px;
        min-height: 12px;
        
        &.selected {
            /* Clearer selection indicators */
            stroke-width: 4px;
            stroke: var(--selection-color);
        }
    }
}

/* Tablet optimization */
@media (min-width: 769px) and (max-width: 1024px) {
    .groggy-viz-sidebar {
        /* Collapsible sidebar */
        width: 250px;
        transform: translateX(-100%);
        transition: transform 0.3s ease;
        
        &.expanded {
            transform: translateX(0);
        }
    }
}
```

#### **3.3 Accessibility & Keyboard Navigation**
```typescript
// Full keyboard accessibility
class AccessibilityManager {
    private focusedNode: string | null = null;
    private keyboardShortcuts: Map<string, () => void> = new Map();
    
    setupKeyboardNavigation() {
        // Node navigation
        this.keyboardShortcuts.set('ArrowRight', () => this.focusNextNode());
        this.keyboardShortcuts.set('ArrowLeft', () => this.focusPreviousNode());
        this.keyboardShortcuts.set('Enter', () => this.activateFocusedNode());
        this.keyboardShortcuts.set('Space', () => this.selectFocusedNode());
        
        // Layout controls
        this.keyboardShortcuts.set('KeyF', () => this.switchToForceLayout());
        this.keyboardShortcuts.set('KeyC', () => this.switchToCircularLayout());
        this.keyboardShortcuts.set('KeyH', () => this.switchToHierarchicalLayout());
        
        // View controls
        this.keyboardShortcuts.set('KeyZ', () => this.zoomToFit());
        this.keyboardShortcuts.set('Equal', () => this.zoomIn());
        this.keyboardShortcuts.set('Minus', () => this.zoomOut());
        
        document.addEventListener('keydown', this.handleKeypress);
    }
    
    announceToScreenReader(message: string) {
        const announcement = document.createElement('div');
        announcement.setAttribute('aria-live', 'polite');
        announcement.setAttribute('aria-atomic', 'true');
        announcement.style.position = 'absolute';
        announcement.style.left = '-10000px';
        announcement.textContent = message;
        
        document.body.appendChild(announcement);
        setTimeout(() => document.body.removeChild(announcement), 1000);
    }
}
```

**Week 7-8 Deliverables**:
- ✅ Smooth 60fps performance with 1000+ nodes
- ✅ Mobile-responsive design with touch controls
- ✅ Full keyboard navigation and screen reader support
- ✅ Level-of-detail rendering for massive graphs
- ✅ Cross-browser compatibility (Chrome, Firefox, Safari, Edge)
- ✅ Comprehensive error handling and graceful degradation

## 🎨 **Visual Examples & Inspirations**

### **Honeycomb Layout Inspiration**
Based on the files in `documentation/viz_module_ideas/`, we can see beautiful honeycomb and energy-based layouts. The 0.5.0 release should incorporate these advanced layout algorithms:

```rust
pub enum AdvancedLayout {
    Honeycomb {
        cell_size: f64,
        energy_optimization: bool,
    },
    TorchEnergy {
        iterations: usize,
        cooling_rate: f64,
        energy_function: EnergyFunction,
    },
    BarabasiAlbert {
        preferential_attachment: f64,
        growth_rate: f64,
    },
    WattsStrogatz {
        rewiring_probability: f64,
        initial_ring_structure: bool,
    },
}
```

### **Interactive UI Inspiration**
- **Observable HQ**: Rich, interactive data visualizations
- **Gephi**: Professional network analysis interface
- **Cytoscape.js**: Smooth graph interactions and animations
- **D3.js Examples**: Beautiful transitions and micro-interactions

## 📊 **Success Metrics for 0.5.0**

### **Performance Benchmarks**
- **Large Graphs**: Smooth interaction with 5,000+ nodes
- **Startup Time**: <2 seconds from `.interactive()` call to browser launch
- **Frame Rate**: Consistent 60fps during animations and interactions
- **Memory Usage**: <100MB for typical graphs (1000 nodes, 2000 edges)
- **Network Efficiency**: <50KB/second data transfer during normal interaction

### **User Experience Goals**
- **API Simplicity**: One-line launch: `g.viz.interactive()`
- **Visual Quality**: Professional appearance matching modern data tools
- **Interaction Richness**: Click, hover, select, drag, zoom all work intuitively
- **Responsiveness**: Works beautifully on mobile, tablet, desktop
- **Accessibility**: Full keyboard navigation and screen reader support

### **Feature Completeness**
- **Graph Types**: Works with any Groggy graph structure
- **Layout Options**: At least 4 layout algorithms with customization
- **Theme System**: 5+ built-in themes, custom theme support
- **Export Options**: PNG, SVG export with high-DPI support
- **Integration**: Seamless with existing Groggy analysis workflows

## 🚀 **Developer Experience**

### **Simple API Design**
```python
# Minimal viable usage
g.viz.interactive()

# Rich customization
g.viz.interactive(
    layout="force",
    theme="dark",
    width=1400,
    height=900,
    physics={
        "charge": -500,
        "distance": 100,
        "gravity": 0.1
    },
    interactions={
        "node_click": "details",
        "edge_hover": "tooltip",
        "background_click": "deselect"
    },
    filters={
        "min_degree": 2,
        "node_type": ["important", "central"]
    }
)

# Integration with analysis
communities = g.connected_components()
g.viz.interactive(
    color_by=communities,
    size_by="degree",
    layout="modularity"
)
```

### **Configuration System**
```python
# Global configuration
groggy.configure_viz(
    default_theme="dark",
    default_port=8080,
    performance_mode="auto",  # auto-optimize based on graph size
    cache_layouts=True,       # Cache expensive layout calculations
    gpu_acceleration=True     # Use WebGL when available
)

# Per-visualization configuration
config = VizConfig(
    background_color="#1a1a1a",
    node_size_range=(5, 30),
    edge_width_range=(1, 8),
    animation_duration=800,
    zoom_limits=(0.1, 10.0),
    pan_limits=(-1000, 1000, -1000, 1000)
)

g.viz.interactive(config=config)
```

## 🔮 **Future Extensions (Post-0.5.0)**

### **0.6.0 - Advanced Analytics**
- **Centrality Visualization**: Animate centrality calculations
- **Community Detection**: Interactive community highlighting
- **Path Finding**: Visual shortest path exploration
- **Time Series**: Graph evolution over time

### **0.7.0 - Collaboration**
- **Multi-User Sessions**: Shared visualization sessions
- **Annotation System**: Comments and markup on graphs
- **Export Workflows**: Presentation-ready export pipelines

### **0.8.0 - AI Integration**
- **Smart Layouts**: AI-recommended optimal layouts
- **Anomaly Detection**: Visual anomaly highlighting
- **Natural Language**: "Show me the most central nodes"

## 🛠️ **Technical Implementation Notes**

### **Rust Core Components**
```rust
// Main visualization module structure
src/viz/
├── mod.rs                    # Main VizModule exports
├── server/
│   ├── websocket.rs         # WebSocket server implementation
│   ├── http.rs              # Static file serving
│   └── session.rs           # Session management
├── layouts/
│   ├── force_directed.rs    # Force-directed algorithm
│   ├── hierarchical.rs      # Tree/hierarchy layouts
│   ├── circular.rs          # Circular layouts
│   └── custom.rs            # Plugin system for custom layouts
├── renderers/
│   ├── svg.rs               # SVG static export
│   ├── png.rs               # PNG raster export
│   └── canvas.rs            # HTML5 Canvas renderer
└── themes/
    ├── built_in.rs          # Built-in theme definitions
    └── parser.rs            # Custom theme parsing
```

### **Frontend Architecture**
```typescript
// Browser-side implementation
frontend/
├── src/
│   ├── components/
│   │   ├── GraphVisualization.tsx    # Main viz component
│   │   ├── NodeRenderer.tsx          # Node rendering logic
│   │   ├── EdgeRenderer.tsx          # Edge rendering logic
│   │   ├── ControlPanel.tsx          # Layout/filter controls
│   │   └── InfoPanel.tsx             # Node/edge details
│   ├── layouts/
│   │   ├── ForceDirected.ts          # Client-side layout helpers
│   │   ├── Hierarchical.ts           # Tree positioning
│   │   └── LayoutWorker.ts           # Web Worker for calculations
│   ├── interactions/
│   │   ├── SelectionManager.ts       # Multi-select functionality
│   │   ├── TooltipManager.ts         # Rich tooltips
│   │   └── FilterManager.ts          # Real-time filtering
│   └── utils/
│       ├── WebSocketClient.ts        # Rust communication
│       ├── PerformanceMonitor.ts     # FPS tracking
│       └── AccessibilityHelpers.ts   # A11y utilities
├── styles/
│   ├── themes/                       # CSS theme definitions
│   └── responsive.css                # Mobile-responsive styles
└── public/
    ├── index.html                    # Main template
    └── assets/                       # Icons, fonts, etc.
```

## 📋 **Definition of Done - 0.5.0 Release**

### **Core Functionality ✅**
- [ ] `g.viz.interactive()` launches browser with graph visualization
- [ ] Force-directed, circular, and hierarchical layouts working
- [ ] Rich node/edge interactions (click, hover, select)
- [ ] Real-time filtering and search functionality  
- [ ] Multi-node selection with drag-to-select
- [ ] Professional visual themes (light, dark, publication)

### **Performance ✅**
- [ ] Smooth 60fps interaction with 1000+ node graphs
- [ ] <2 second startup time from Python call to browser
- [ ] <100MB memory usage for typical graphs
- [ ] Responsive performance on mobile devices

### **User Experience ✅**
- [ ] One-line API for basic usage: `g.viz.interactive()`
- [ ] Rich customization options for advanced users
- [ ] Mobile-responsive design with touch controls
- [ ] Full keyboard accessibility and screen reader support
- [ ] Graceful error handling and fallback modes

### **Integration ✅**
- [ ] Works with all Groggy graph types via delegation
- [ ] Seamless integration with existing analysis workflows
- [ ] Export capabilities (PNG, SVG) for presentations
- [ ] Documentation with examples and tutorials

### **Quality ✅**
- [ ] Cross-browser compatibility (Chrome, Firefox, Safari, Edge)
- [ ] Comprehensive test suite covering core functionality
- [ ] Performance regression tests
- [ ] Security review for WebSocket server
- [ ] Production-ready error handling

---

## 🎯 **Next Steps for Implementation**

1. **Week 1**: Set up basic WebSocket server and browser template
2. **Week 2**: Implement core layout algorithms in Rust
3. **Week 3**: Build basic node/edge rendering in browser
4. **Week 4**: Add rich interactions (click, hover, select)
5. **Week 5**: Implement filtering and search functionality
6. **Week 6**: Polish visual design and responsiveness
7. **Week 7**: Performance optimization and mobile support
8. **Week 8**: Testing, documentation, and release preparation

**🚀 Ready to make Groggy 0.5.0 the most interactive graph library in existence!**

*Building the foundation today for graph visualization that feels like magic tomorrow.*