dark compact theme

README.md

@@ -44,15 +44,23 @@ python streamlens.py --live --filter "port 319 or port 320"
 
 ## Features
 
-### 🖥️ Modern GUI Interface (New!)
-- **Professional Qt Interface**: Cross-platform GUI built with PySide6
-- **Interactive Flow List**: Sortable table showing flows with sigma deviations, protocols, and frame types
-- **Automatic Plot Rendering**: Click any flow to instantly view signal plots (no button needed)
-- **Embedded Matplotlib Plots**: Interactive signal visualization with zoom, pan, and navigation toolbar
+### 🖥️ Modern Dark-Themed GUI Interface with Optimized Layout
+- **Professional Dark Theme**: Modern color palette with #1e1e1e backgrounds and optimized contrast
+- **Content-Fitted Columns**: Headers automatically resize to fit content, not wider than necessary
+- **Full-Width Utilization**: Grid view uses entire screen width with prioritized wide signal plots
+- **Optimized Row Height**: 25% taller rows (30px) for better visual balance and plot visibility
+- **Wide Embedded Plots**: 8x2.5 figure size with minimal horizontal margins for maximum signal detail
+- **Intelligent Column Sizing**: Auto-resizes to content with smart minimums and plot column priority
+- **Professional Qt Interface**: Cross-platform GUI built with PySide6 with native look and feel
+- **Embedded Signal Plots**: Chapter 10 signal plots rendered directly in the flow table cells
+- **Synchronous Plot Rendering**: Plots appear immediately when table loads, no background threads
+- **Chapter 10 Flow Highlighting**: Flows with Chapter 10 data are highlighted in modern blue and bold
+- **Smart Signal Caching**: Avoids repeated processing of the same flow's signal data
+- **Flow Detail Panel**: Dockable bottom panel with dark theme styling
 - **Background PCAP Loading**: Progress bar with non-blocking file processing
-- **File Management**: Open PCAP files via dialog or command line
-- **Smart Status Feedback**: Color-coded status messages for different flow types and states
-- **Threading Safety**: Proper Qt threading eliminates segmentation faults
+- **Outlier Threshold Control**: Real-time adjustment of sigma-based outlier detection
+- **Threading Safety**: Main-thread plot creation eliminates Qt threading violations
+- **No Floating Windows**: All plots stay embedded in the grid interface
 
 ### Enhanced TUI Interface
 - **Three-Panel Layout**: Flows list (top-left), flow details (top-right), timing visualization (bottom)
@@ -76,15 +84,18 @@ python streamlens.py --live --filter "port 319 or port 320"
 - **PTP (IEEE 1588-2019)**: Precision Time Protocol message parsing with sync, delay, and announce messages  
 - **IENA (Airbus)**: Industrial Ethernet Network Architecture with P/D/N/M/Q message types
 
-### 📊 Chapter 10 Signal Visualization
-- **Interactive GUI Plots**: Select any flow to automatically view embedded matplotlib plots
+### 📊 Chapter 10 Signal Visualization with Dark Theme Integration
+- **Wide Embedded GUI Plots**: Chapter 10 flows display matplotlib plots directly in flow table with 8x2.5 sizing
+- **Dark Theme Plot Integration**: Plots use #1e1e1e backgrounds with white text and modern #0078d4 signal colors
+- **Optimized Plot Margins**: Minimal horizontal margins (8% left, 98% right) for maximum signal visualization area
 - **TUI Signal Plots**: Press `v` in the TUI to generate signal files (threading-safe)
 - **Signal Consolidation**: Automatically combines multiple packets from the same channel into continuous signals
 - **TMATS Integration**: Automatically extracts channel metadata from TMATS frames for proper signal scaling
 - **Multi-channel Support**: Displays multiple channels with proper engineering units and scaling
-- **Threading Safety**: GUI uses proper Qt integration, TUI saves plots to files to avoid segfaults
+- **Threading Safety**: GUI uses main-thread plot creation, TUI saves plots to files to avoid segfaults
+- **No Floating Windows**: All GUI plots stay embedded in the table interface
 - **Both Modes**: Works for both PCAP analysis and live capture
-- **Matplotlib Features**: Full zoom, pan, save, and navigation capabilities
+- **Enhanced Visual Quality**: 150px plot height with professional styling and grid overlays
 
 ### Protocol Detection & Fallbacks
 - Automatic protocol identification based on port numbers and packet structure
@@ -122,16 +133,22 @@ Generate detailed outlier reports with `--report` flag showing frame-by-frame si
 ## GUI Usage
 
 ### Main Interface
-- **Left Panel**: File information and flow list sorted by sigma deviation
-- **Right Panel**: Interactive matplotlib plot area with navigation toolbar
+- **Menu Bar**: File operations (Open PCAP, Monitor NIC), View controls, Help system
+- **Toolbar**: File operations and outlier threshold adjustment
+- **Central Flow Table**: Full-width table with file info, flow data, and integrated signal plots
+- **Flow Detail Panel**: Dockable bottom panel showing comprehensive flow information
 - **Status Bar**: Loading progress and operation feedback
 
 ### Workflow
-1. **Launch GUI**: `python streamlens.py --gui`
-2. **Open PCAP**: File → Open PCAP... or use command line `--pcap` flag
-3. **Select Flow**: Click on any flow in the table to automatically view signal plots
-4. **Interact**: Use matplotlib toolbar to zoom, pan, save plots
-5. **Navigate**: Click different flows to instantly see their signal visualizations
+1. **Launch GUI with PCAP**: `python streamlens.py --gui --pcap file.pcap` (recommended)
+2. **Alternative Launch**: `python streamlens.py --gui`, then File → Open PCAP...
+3. **Immediate Analysis**: Flow table displays instantly with all flow data and wide embedded plots
+4. **Optimized Display**: Content-fitted columns, 25% taller rows, and full-width utilization
+5. **Wide Plot Visualization**: Chapter 10 flows show detailed signal plots with minimal margins
+6. **Browse Flows**: View flows in the dark-themed table (Chapter 10 flows highlighted in modern blue)
+7. **Analyze Details**: Select flows to view detailed information in the dark-themed bottom panel
+8. **Adjust Threshold**: Use toolbar spinner to change outlier detection sensitivity
+9. **Multi-Flow Comparison**: Compare signals across different flows in the same optimized view
 
 ## TUI Controls
 
@@ -172,9 +189,10 @@ streamlens/
 │   │   ├── ptp.py                 # IEEE 1588 Precision Time Protocol
 │   │   ├── iena.py                # Airbus IENA protocol
 │   │   └── standard.py            # Standard protocol detection
-│   ├── gui/                        # Modern GUI Interface (NEW!)
+│   ├── gui/                        # Modern GUI Interface with Docking Panels
 │   │   ├── __init__.py            # GUI package initialization
-│   │   └── main_window.py         # PySide6 main window with matplotlib integration
+│   │   ├── main_window.py         # PySide6 main window with docking system
+│   │   └── dock_panels.py         # Dockable panel implementations (flow list, plots, details)
 │   ├── tui/                        # Text User Interface
 │   │   ├── interface.py           # Main TUI controller
 │   │   ├── navigation.py          # Navigation handling