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analyzer/gui/dock_panels.py

@@ -376,6 +376,9 @@ class FlowListDockWidget(QWidget):
         # Auto-resize numeric columns to fit content
         for col in [2, 3, 4, 7]:  # Packets, Bytes, Max σ, Outliers
             self.flows_table.resizeColumnToContents(col)
+        
+        # Update header with time range information if we have flows
+        self._update_signal_plot_header(flows_list)
     
     def populate_flows_table_quick(self):
         """Populate the flows table quickly without plots for immediate display"""
@@ -448,6 +451,41 @@ class FlowListDockWidget(QWidget):
         for col in [2, 3, 4, 7]:  # Packets, Bytes, Max σ, Outliers
             self.flows_table.resizeColumnToContents(col)
     
+    def _update_signal_plot_header(self, flows_list):
+        """Update the Signal Plot column header with time range information"""
+        if not flows_list or not self.analyzer:
+            return
+            
+        # Find earliest and latest timestamps across all flows
+        earliest_time = float('inf')
+        latest_time = float('-inf')
+        
+        for flow in flows_list:
+            if flow.timestamps:
+                flow_start = min(flow.timestamps)
+                flow_end = max(flow.timestamps)
+                earliest_time = min(earliest_time, flow_start)
+                latest_time = max(latest_time, flow_end)
+        
+        if earliest_time != float('inf') and latest_time != float('-inf'):
+            # Convert timestamps to time-of-day format (assuming they're epoch seconds)
+            import datetime
+            try:
+                start_time = datetime.datetime.fromtimestamp(earliest_time).strftime('%H:%M:%S')
+                end_time = datetime.datetime.fromtimestamp(latest_time).strftime('%H:%M:%S')
+                header_text = f"Signal Plot\n{start_time} → {end_time}"
+            except (ValueError, OSError):
+                # If timestamp conversion fails, show duration instead
+                duration = latest_time - earliest_time
+                header_text = f"Signal Plot\n{duration:.1f}s span"
+        else:
+            header_text = "Signal Plot"
+        
+        # Update the header
+        self.flows_table.setHorizontalHeaderLabels([
+            "Source IP", "Dest IP", "Pkts", "Bytes", "Max σ", "Avg ΔT", "Std ΔT", "Outliers", "Protocols", header_text
+        ])
+    
     def on_flow_selected(self):
         """Handle flow selection"""
         selected_rows = self.flows_table.selectionModel().selectedRows()
@@ -552,27 +590,46 @@ class FlowListDockWidget(QWidget):
                 # Modern color scheme - blue for primary data
                 ax.plot(timestamps, data, color='#0078d4', linewidth=1.2, alpha=0.9)
                 
-                # Dark theme styling
-                ax.set_xlabel('Time (s)', fontsize=7, color='#ffffff')
-                ax.set_ylabel('Amplitude', fontsize=7, color='#ffffff')
-                ax.tick_params(labelsize=6, colors='#cccccc')
+                # Dark theme styling with larger, more legible text
+                ax.set_xlabel('Time (s)', fontsize=9, color='#ffffff')
+                # ax.set_ylabel('Amplitude', fontsize=9, color='#ffffff')  # Removed for cleaner embedded view
+                ax.tick_params(labelsize=8, colors='#cccccc', left=False, labelleft=False, bottom=False, labelbottom=False)  # Hide all tick labels
                 ax.grid(True, alpha=0.15, color='#404040')
                 
+                # No legend needed for embedded plots - cleaner appearance
+                
+                # Add Y-axis min/max indicators for better readability
+                y_min, y_max = ax.get_ylim()
+                ax.text(0.02, 0.95, f'Max: {y_max:.2f}', transform=ax.transAxes, 
+                       fontsize=7, color='#00ff88', weight='bold', 
+                       bbox=dict(boxstyle='round,pad=0.2', facecolor='#2d2d2d', alpha=0.8))
+                ax.text(0.02, 0.02, f'Min: {y_min:.2f}', transform=ax.transAxes, 
+                       fontsize=7, color='#ff6b6b', weight='bold',
+                       bbox=dict(boxstyle='round,pad=0.2', facecolor='#2d2d2d', alpha=0.8))
+                
                 # Style the spines
                 for spine in ax.spines.values():
                     spine.set_color('#404040')
                     spine.set_linewidth(0.5)
                 
-                # Add compact title with dark theme
-                title_text = f'{channel_name} (+{len(signal_data_list)-1} more)' if len(signal_data_list) > 1 else channel_name
-                ax.set_title(title_text, fontsize=7, color='#ffffff', pad=8)
+                # Add compact title with time range info
+                time_start = timestamps[0] if len(timestamps) > 0 else 0
+                time_end = timestamps[-1] if len(timestamps) > 0 else 0
+                duration = time_end - time_start
+                
+                title_text = f'{channel_name}'
+                if len(signal_data_list) > 1:
+                    title_text += f' (+{len(signal_data_list)-1} more)'
+                title_text += f' | {duration:.2f}s span'
+                
+                ax.set_title(title_text, fontsize=8, color='#ffffff', pad=8)
                 
             else:
                 self._create_error_plot(figure, canvas, "No channel data")
                 return
             
-            # Tight layout with minimal horizontal margins (fixed pixel-equivalent values)
-            figure.subplots_adjust(left=0.08, right=0.98, top=0.85, bottom=0.25)
+            # Maximum plot area with ultra-minimal margins on all sides
+            figure.subplots_adjust(left=0.01, right=0.99, top=0.92, bottom=0.15)
             canvas.draw_idle()  # Use draw_idle to avoid window creation
             
         except Exception as e: