659 lines
26 KiB
Python
659 lines
26 KiB
Python
"""
|
||
Enhanced Flow Table Widget - TipTop-inspired with inline visualizations
|
||
"""
|
||
|
||
from textual.widgets import DataTable
|
||
from textual.containers import Vertical
|
||
from textual.reactive import reactive
|
||
from textual.message import Message
|
||
from typing import TYPE_CHECKING, List, Optional, Dict, Tuple
|
||
from rich.text import Text
|
||
from rich.box import ROUNDED
|
||
|
||
if TYPE_CHECKING:
|
||
from ....analysis.core import EthernetAnalyzer
|
||
from ....models import FlowStats
|
||
|
||
|
||
class EnhancedFlowTable(Vertical):
|
||
"""
|
||
Enhanced flow table with TipTop-style inline visualizations
|
||
|
||
Features:
|
||
- Inline sparklines for packet rate
|
||
- Bar charts for volume and quality
|
||
- Color-coded rows based on status
|
||
- Hierarchical sub-rows for protocol breakdown
|
||
"""
|
||
|
||
DEFAULT_CSS = """
|
||
EnhancedFlowTable {
|
||
height: 1fr;
|
||
padding: 0;
|
||
margin: 0;
|
||
}
|
||
|
||
EnhancedFlowTable DataTable {
|
||
height: 1fr;
|
||
scrollbar-gutter: stable;
|
||
padding: 0;
|
||
margin: 0;
|
||
}
|
||
"""
|
||
|
||
selected_flow_index = reactive(0)
|
||
sort_key = reactive("flows")
|
||
simplified_view = reactive(False) # Toggle between detailed and simplified view
|
||
|
||
def __init__(self, analyzer: 'EthernetAnalyzer', **kwargs):
|
||
super().__init__(**kwargs)
|
||
self.analyzer = analyzer
|
||
self.flows_list = []
|
||
self.row_to_flow_map = {} # Map row keys to flow indices
|
||
self.flow_metrics = {} # Store per-flow metrics history
|
||
self.view_mode_changed = False # Track when view mode changes
|
||
|
||
def compose(self):
|
||
"""Create the enhanced flow table"""
|
||
# Table title with sort indicators
|
||
yield DataTable(
|
||
id="flows-data-table",
|
||
cursor_type="row",
|
||
zebra_stripes=True,
|
||
show_header=True,
|
||
show_row_labels=False
|
||
)
|
||
|
||
def on_mount(self):
|
||
"""Initialize the table"""
|
||
self._setup_table_columns()
|
||
self.refresh_data()
|
||
|
||
def _setup_table_columns(self):
|
||
"""Setup table columns based on current view mode"""
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
|
||
# Clear existing columns if any
|
||
if table.columns:
|
||
table.clear(columns=True)
|
||
|
||
if self.simplified_view:
|
||
# Simplified view - only main flows with summary data
|
||
table.add_column("#", width=3, key="num")
|
||
table.add_column("Source", width=18, key="source")
|
||
table.add_column("Destination", width=18, key="dest")
|
||
table.add_column("Protocol", width=8, key="protocol")
|
||
table.add_column("Packets", width=8, key="packets")
|
||
table.add_column("Volume", width=10, key="volume")
|
||
table.add_column("Avg ΔT", width=8, key="avg_delta")
|
||
table.add_column("Quality", width=8, key="quality")
|
||
table.add_column("Status", width=10, key="status")
|
||
else:
|
||
# Detailed view - original layout with subflows
|
||
table.add_column("#", width=2, key="num")
|
||
table.add_column("Source", width=18, key="source")
|
||
table.add_column("Proto", width=4, key="proto")
|
||
table.add_column("Destination", width=18, key="dest")
|
||
table.add_column("Extended", width=8, key="extended")
|
||
table.add_column("Frame Type", width=10, key="frame_type")
|
||
table.add_column("Pkts", width=6, key="rate")
|
||
table.add_column("Size", width=8, key="volume")
|
||
table.add_column("ΔT(ms)", width=8, key="delta_t")
|
||
table.add_column("σ(ms)", width=8, key="sigma")
|
||
table.add_column("Out", width=5, key="outliers")
|
||
|
||
def refresh_data(self):
|
||
"""Refresh flow table with current view mode"""
|
||
# Check if view mode changed and rebuild table structure if needed
|
||
if self.view_mode_changed:
|
||
self._setup_table_columns()
|
||
self.view_mode_changed = False
|
||
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
|
||
# Preserve cursor and scroll positions
|
||
cursor_row = table.cursor_row
|
||
cursor_column = table.cursor_column
|
||
scroll_x = table.scroll_x
|
||
scroll_y = table.scroll_y
|
||
selected_row_key = None
|
||
if table.rows and cursor_row < len(table.rows):
|
||
selected_row_key = list(table.rows.keys())[cursor_row]
|
||
|
||
table.clear()
|
||
|
||
# Clear row mapping
|
||
self.row_to_flow_map.clear()
|
||
self.row_to_subflow_map = {} # Map row keys to (flow_index, subflow_type)
|
||
|
||
# Get and sort flows
|
||
self.flows_list = self._get_sorted_flows()
|
||
|
||
if self.simplified_view:
|
||
self._populate_simplified_view()
|
||
else:
|
||
self._populate_detailed_view()
|
||
|
||
# Restore cursor position
|
||
if selected_row_key and selected_row_key in table.rows:
|
||
row_index = list(table.rows.keys()).index(selected_row_key)
|
||
table.move_cursor(row=row_index, column=cursor_column, animate=False)
|
||
elif table.row_count > 0:
|
||
# If original selection not found, try to maintain row position
|
||
new_row = min(cursor_row, table.row_count - 1)
|
||
table.move_cursor(row=new_row, column=cursor_column, animate=False)
|
||
|
||
# Restore scroll position
|
||
table.scroll_to(x=scroll_x, y=scroll_y, animate=False)
|
||
|
||
def _populate_simplified_view(self):
|
||
"""Populate table with simplified flow summary data"""
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
|
||
for i, flow in enumerate(self.flows_list):
|
||
# Create simplified row data - no subflows shown
|
||
row_data = self._create_simplified_row(i + 1, flow)
|
||
row_key = table.add_row(*row_data, key=f"flow_{i}")
|
||
|
||
# Map row key to flow index
|
||
self.row_to_flow_map[row_key] = i
|
||
|
||
def _populate_detailed_view(self):
|
||
"""Populate table with detailed flow data including subflows"""
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
|
||
for i, flow in enumerate(self.flows_list):
|
||
# Track metrics for this flow
|
||
flow_key = f"{flow.src_ip}:{flow.src_port}-{flow.dst_ip}:{flow.dst_port}"
|
||
if flow_key not in self.flow_metrics:
|
||
self.flow_metrics[flow_key] = {
|
||
'rate_history': [],
|
||
'last_packet_count': flow.frame_count,
|
||
'last_update': flow.last_seen
|
||
}
|
||
|
||
# Calculate current rate
|
||
metrics = self.flow_metrics[flow_key]
|
||
time_delta = flow.last_seen - metrics['last_update'] if metrics['last_update'] else 1
|
||
packet_delta = flow.frame_count - metrics['last_packet_count']
|
||
current_rate = packet_delta / max(time_delta, 0.1)
|
||
|
||
# Update metrics
|
||
metrics['rate_history'].append(current_rate)
|
||
if len(metrics['rate_history']) > 10:
|
||
metrics['rate_history'].pop(0)
|
||
metrics['last_packet_count'] = flow.frame_count
|
||
metrics['last_update'] = flow.last_seen
|
||
|
||
# Create row with detailed visualizations
|
||
row_data = self._create_enhanced_row(i + 1, flow, metrics)
|
||
row_key = table.add_row(*row_data, key=f"flow_{i}")
|
||
|
||
# Map row key to flow index
|
||
self.row_to_flow_map[row_key] = i
|
||
|
||
# Add sub-rows for protocol breakdown (only in detailed view)
|
||
if self._should_show_subrows(flow):
|
||
sub_rows = self._create_protocol_subrows(flow)
|
||
combinations = self._get_protocol_frame_combinations(flow)
|
||
for j, sub_row in enumerate(sub_rows):
|
||
sub_key = table.add_row(*sub_row, key=f"flow_{i}_sub_{j}")
|
||
# Map sub-row to parent flow and subflow type
|
||
self.row_to_flow_map[sub_key] = i
|
||
if j < len(combinations):
|
||
_, frame_type, _, _ = combinations[j]
|
||
self.row_to_subflow_map[sub_key] = (i, frame_type)
|
||
|
||
def _create_enhanced_row(self, num: int, flow: 'FlowStats', metrics: dict) -> List[Text]:
|
||
"""Create enhanced row with inline visualizations"""
|
||
# Flow number
|
||
num_text = Text(str(num), justify="right")
|
||
|
||
# Source (truncated if needed)
|
||
source = f"{flow.src_ip}:{flow.src_port}"
|
||
source_text = Text(source[:20] + "..." if len(source) > 22 else source)
|
||
|
||
# Protocol with color
|
||
proto_text = Text(flow.transport_protocol, style="bold cyan")
|
||
|
||
# Destination
|
||
dest = f"{flow.dst_ip}:{flow.dst_port}"
|
||
dest_text = Text(dest[:20] + "..." if len(dest) > 22 else dest)
|
||
|
||
# Extended protocol
|
||
extended = self._get_extended_protocol(flow)
|
||
extended_text = Text(extended, style="yellow" if extended != "-" else "dim")
|
||
|
||
# Frame type summary
|
||
frame_summary = self._get_frame_summary(flow)
|
||
frame_text = Text(frame_summary, style="blue")
|
||
|
||
# Rate with sparkline
|
||
rate_spark = self._create_rate_sparkline(metrics['rate_history'])
|
||
rate_text = Text(f"{metrics['rate_history'][-1]:.0f} {rate_spark}")
|
||
|
||
# Size with actual value
|
||
size_value = self._format_bytes(flow.total_bytes)
|
||
size_text = Text(f"{size_value:>8}")
|
||
|
||
# Delta T (average time between packets in ms)
|
||
if flow.avg_inter_arrival > 0:
|
||
delta_t_ms = flow.avg_inter_arrival * 1000
|
||
if delta_t_ms >= 1000:
|
||
delta_t_str = f"{delta_t_ms/1000:.1f}s"
|
||
else:
|
||
delta_t_str = f"{delta_t_ms:.1f}"
|
||
else:
|
||
delta_t_str = "N/A"
|
||
delta_t_text = Text(delta_t_str, justify="right")
|
||
|
||
# Sigma (standard deviation in ms)
|
||
if flow.std_inter_arrival > 0:
|
||
sigma_ms = flow.std_inter_arrival * 1000
|
||
if sigma_ms >= 1000:
|
||
sigma_str = f"{sigma_ms/1000:.1f}s"
|
||
else:
|
||
sigma_str = f"{sigma_ms:.1f}"
|
||
else:
|
||
sigma_str = "N/A"
|
||
sigma_text = Text(sigma_str, justify="right")
|
||
|
||
# Outlier count (packets outside tolerance)
|
||
outlier_count = len(flow.outlier_frames)
|
||
outlier_text = Text(str(outlier_count), justify="right",
|
||
style="red" if outlier_count > 0 else "green")
|
||
|
||
return [
|
||
num_text, source_text, proto_text, dest_text,
|
||
extended_text, frame_text, rate_text, size_text,
|
||
delta_t_text, sigma_text, outlier_text
|
||
]
|
||
|
||
def _create_simplified_row(self, num: int, flow: 'FlowStats') -> List[Text]:
|
||
"""Create simplified row with summary data only"""
|
||
# Flow number
|
||
num_text = Text(str(num), justify="right")
|
||
|
||
# Source (IP only for simplified view)
|
||
source_text = Text(flow.src_ip)
|
||
|
||
# Destination (IP only for simplified view)
|
||
dest_text = Text(flow.dst_ip)
|
||
|
||
# Main protocol (transport + extended if available)
|
||
extended = self._get_extended_protocol(flow)
|
||
if extended != "-":
|
||
protocol_str = f"{flow.transport_protocol}/{extended}"
|
||
else:
|
||
protocol_str = flow.transport_protocol
|
||
protocol_text = Text(protocol_str, style="bold cyan")
|
||
|
||
# Total packet count
|
||
packets_text = Text(str(flow.frame_count), justify="right")
|
||
|
||
# Total volume
|
||
volume_text = Text(self._format_bytes(flow.total_bytes), justify="right")
|
||
|
||
# Average delta T
|
||
if flow.avg_inter_arrival > 0:
|
||
delta_t_ms = flow.avg_inter_arrival * 1000
|
||
if delta_t_ms >= 1000:
|
||
avg_delta_str = f"{delta_t_ms/1000:.1f}s"
|
||
else:
|
||
avg_delta_str = f"{delta_t_ms:.1f}ms"
|
||
else:
|
||
avg_delta_str = "N/A"
|
||
avg_delta_text = Text(avg_delta_str, justify="right")
|
||
|
||
# Quality score as percentage
|
||
quality_score = self._get_quality_score(flow)
|
||
quality_text = Text(f"{quality_score}%", justify="right",
|
||
style="green" if quality_score >= 90 else
|
||
"yellow" if quality_score >= 70 else "red")
|
||
|
||
# Flow status
|
||
status = self._get_flow_status(flow)
|
||
status_color = {
|
||
"Enhanced": "bold blue",
|
||
"Alert": "bold red",
|
||
"Warning": "yellow",
|
||
"Normal": "green"
|
||
}.get(status, "white")
|
||
status_text = Text(status, style=status_color)
|
||
|
||
return [
|
||
num_text, source_text, dest_text, protocol_text,
|
||
packets_text, volume_text, avg_delta_text,
|
||
quality_text, status_text
|
||
]
|
||
|
||
def _create_rate_sparkline(self, history: List[float]) -> str:
|
||
"""Create mini sparkline for rate"""
|
||
if not history:
|
||
return "─" * 4
|
||
|
||
spark_chars = " ▁▂▃▄▅▆▇█"
|
||
data_min = min(history) if history else 0
|
||
data_max = max(history) if history else 1
|
||
|
||
if data_max == data_min:
|
||
return "▄" * 4
|
||
|
||
result = []
|
||
for value in history[-4:]: # Last 4 values
|
||
normalized = (value - data_min) / (data_max - data_min)
|
||
char_index = int(normalized * 8)
|
||
result.append(spark_chars[char_index])
|
||
|
||
return "".join(result)
|
||
|
||
def _create_volume_bar(self, bytes_count: int) -> str:
|
||
"""Create bar chart for volume"""
|
||
# Scale to GB for comparison
|
||
gb = bytes_count / 1_000_000_000
|
||
|
||
# Create bar (max 5 chars)
|
||
if gb >= 10:
|
||
return "█████"
|
||
elif gb >= 1:
|
||
filled = int(gb / 2)
|
||
return "█" * filled + "░" * (5 - filled)
|
||
else:
|
||
# For smaller volumes, show at least one bar
|
||
mb = bytes_count / 1_000_000
|
||
if mb >= 100:
|
||
return "█░░░░"
|
||
else:
|
||
return "▌░░░░"
|
||
|
||
def _create_quality_bar(self, flow: 'FlowStats') -> tuple[str, str]:
|
||
"""Create quality bar chart with color"""
|
||
quality = self._get_quality_score(flow)
|
||
|
||
# Create bar (5 chars)
|
||
filled = int(quality / 20) # 0-100 -> 0-5
|
||
bar = "█" * filled + "░" * (5 - filled)
|
||
|
||
# Determine color
|
||
if quality >= 90:
|
||
color = "green"
|
||
elif quality >= 70:
|
||
color = "yellow"
|
||
else:
|
||
color = "red"
|
||
|
||
return bar, color
|
||
|
||
def _get_quality_score(self, flow: 'FlowStats') -> int:
|
||
"""Calculate quality score for flow"""
|
||
if flow.enhanced_analysis.decoder_type != "Standard":
|
||
return int(flow.enhanced_analysis.avg_frame_quality)
|
||
else:
|
||
# Base quality on outlier percentage
|
||
outlier_pct = len(flow.outlier_frames) / flow.frame_count * 100 if flow.frame_count > 0 else 0
|
||
return max(0, int(100 - outlier_pct * 10))
|
||
|
||
def _get_flow_status(self, flow: 'FlowStats') -> str:
|
||
"""Determine flow status"""
|
||
if flow.enhanced_analysis.decoder_type != "Standard":
|
||
return "Enhanced"
|
||
elif len(flow.outlier_frames) > flow.frame_count * 0.1:
|
||
return "Alert"
|
||
elif len(flow.outlier_frames) > 0:
|
||
return "Warning"
|
||
else:
|
||
return "Normal"
|
||
|
||
def _get_flow_style(self, flow: 'FlowStats') -> Optional[str]:
|
||
"""Get styling for flow row"""
|
||
status = self._get_flow_status(flow)
|
||
if status == "Enhanced":
|
||
return "bold"
|
||
elif status == "Alert":
|
||
return "bold red"
|
||
elif status == "Warning":
|
||
return "yellow"
|
||
return None
|
||
|
||
def _should_show_subrows(self, flow: 'FlowStats') -> bool:
|
||
"""Determine if flow should show protocol breakdown"""
|
||
# Only show subrows if there are enhanced frame types
|
||
enhanced_frame_types = self._get_enhanced_frame_types(flow)
|
||
return len(enhanced_frame_types) > 0
|
||
|
||
def _get_enhanced_frame_types(self, flow: 'FlowStats') -> Dict[str, 'FrameTypeStats']:
|
||
"""Get only frame types that belong to enhanced protocols"""
|
||
enhanced_protocols = {'CHAPTER10', 'CH10', 'PTP', 'IENA'}
|
||
enhanced_frame_types = {}
|
||
|
||
for frame_type, stats in flow.frame_types.items():
|
||
# Check if this frame type belongs to an enhanced protocol
|
||
if any(enhanced_proto in frame_type for enhanced_proto in enhanced_protocols):
|
||
enhanced_frame_types[frame_type] = stats
|
||
elif frame_type.startswith(('CH10-', 'PTP-', 'IENA-')):
|
||
enhanced_frame_types[frame_type] = stats
|
||
elif frame_type in ('TMATS', 'TMATS-Data'): # TMATS is part of Chapter 10
|
||
enhanced_frame_types[frame_type] = stats
|
||
|
||
return enhanced_frame_types
|
||
|
||
def _get_enhanced_protocol_frame_combinations(self, flow: 'FlowStats', enhanced_frame_types: Dict[str, 'FrameTypeStats']) -> List[Tuple[str, str, int, float]]:
|
||
"""Get protocol/frame combinations for enhanced protocols only"""
|
||
combinations = []
|
||
total_packets = flow.frame_count
|
||
|
||
# Group enhanced frame types by extended protocol
|
||
protocol_frames = {}
|
||
|
||
for frame_type, ft_stats in enhanced_frame_types.items():
|
||
# Determine extended protocol for this frame type
|
||
extended_proto = self._get_extended_protocol_for_frame(flow, frame_type)
|
||
|
||
if extended_proto not in protocol_frames:
|
||
protocol_frames[extended_proto] = []
|
||
|
||
protocol_frames[extended_proto].append((frame_type, ft_stats.count))
|
||
|
||
# Convert to list of tuples with percentages
|
||
for extended_proto, frame_list in protocol_frames.items():
|
||
for frame_type, count in frame_list:
|
||
percentage = (count / total_packets * 100) if total_packets > 0 else 0
|
||
combinations.append((extended_proto, frame_type, count, percentage))
|
||
|
||
# Sort by count (descending)
|
||
combinations.sort(key=lambda x: x[2], reverse=True)
|
||
return combinations
|
||
|
||
def _create_protocol_subrows(self, flow: 'FlowStats') -> List[List[Text]]:
|
||
"""Create sub-rows for enhanced protocol/frame type breakdown only"""
|
||
subrows = []
|
||
enhanced_frame_types = self._get_enhanced_frame_types(flow)
|
||
combinations = self._get_enhanced_protocol_frame_combinations(flow, enhanced_frame_types)
|
||
|
||
for extended_proto, frame_type, count, percentage in combinations: # Show all enhanced subrows
|
||
# Calculate timing for this frame type if available
|
||
frame_delta_t = ""
|
||
frame_sigma = ""
|
||
frame_outliers = ""
|
||
|
||
if frame_type in flow.frame_types:
|
||
ft_stats = flow.frame_types[frame_type]
|
||
if ft_stats.avg_inter_arrival > 0:
|
||
dt_ms = ft_stats.avg_inter_arrival * 1000
|
||
frame_delta_t = f"{dt_ms:.1f}" if dt_ms < 1000 else f"{dt_ms/1000:.1f}s"
|
||
if ft_stats.std_inter_arrival > 0:
|
||
sig_ms = ft_stats.std_inter_arrival * 1000
|
||
frame_sigma = f"{sig_ms:.1f}" if sig_ms < 1000 else f"{sig_ms/1000:.1f}s"
|
||
frame_outliers = str(len(ft_stats.outlier_frames))
|
||
|
||
subrow = [
|
||
Text(""), # Empty flow number
|
||
Text(""), # Empty source
|
||
Text(""), # Empty protocol
|
||
Text(""), # Empty destination
|
||
Text(f" {extended_proto}", style="dim yellow"),
|
||
Text(frame_type, style="dim blue"),
|
||
Text(f"{count}", style="dim", justify="right"),
|
||
Text(f"{self._format_bytes(count * (flow.total_bytes // flow.frame_count) if flow.frame_count > 0 else 0):>8}", style="dim"),
|
||
Text(frame_delta_t, style="dim", justify="right"),
|
||
Text(frame_sigma, style="dim", justify="right"),
|
||
Text(frame_outliers, style="dim red" if frame_outliers and int(frame_outliers) > 0 else "dim", justify="right")
|
||
]
|
||
subrows.append(subrow)
|
||
|
||
return subrows
|
||
|
||
def _get_sorted_flows(self) -> List['FlowStats']:
|
||
"""Get flows sorted by current sort key"""
|
||
flows = list(self.analyzer.flows.values())
|
||
|
||
if self.sort_key == "packets":
|
||
flows.sort(key=lambda x: x.frame_count, reverse=True)
|
||
elif self.sort_key == "volume":
|
||
flows.sort(key=lambda x: x.total_bytes, reverse=True)
|
||
elif self.sort_key == "quality":
|
||
flows.sort(key=lambda x: self._get_quality_score(x), reverse=True)
|
||
else: # Default: sort by importance
|
||
flows.sort(key=lambda x: (
|
||
x.enhanced_analysis.decoder_type != "Standard",
|
||
len(x.outlier_frames),
|
||
x.frame_count
|
||
), reverse=True)
|
||
|
||
return flows
|
||
|
||
def sort_by(self, key: str):
|
||
"""Change sort order"""
|
||
self.sort_key = key
|
||
self.refresh_data()
|
||
|
||
def toggle_view_mode(self):
|
||
"""Toggle between simplified and detailed view modes"""
|
||
self.simplified_view = not self.simplified_view
|
||
self.view_mode_changed = True
|
||
self.refresh_data()
|
||
|
||
def get_current_view_mode(self) -> str:
|
||
"""Get current view mode as string"""
|
||
return "SIMPLIFIED" if self.simplified_view else "DETAILED"
|
||
|
||
class FlowSelected(Message):
|
||
"""Message sent when a flow is selected"""
|
||
def __init__(self, flow: Optional['FlowStats'], subflow_type: Optional[str] = None) -> None:
|
||
self.flow = flow
|
||
self.subflow_type = subflow_type
|
||
super().__init__()
|
||
|
||
def get_selected_flow(self) -> Optional['FlowStats']:
|
||
"""Get currently selected flow"""
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
if table.cursor_row is None or not table.rows:
|
||
return None
|
||
|
||
# Get the row key at cursor position
|
||
row_keys = list(table.rows.keys())
|
||
if table.cursor_row >= len(row_keys):
|
||
return None
|
||
|
||
row_key = row_keys[table.cursor_row]
|
||
|
||
# Look up flow index from our mapping
|
||
flow_idx = self.row_to_flow_map.get(row_key)
|
||
if flow_idx is not None and 0 <= flow_idx < len(self.flows_list):
|
||
return self.flows_list[flow_idx]
|
||
|
||
return None
|
||
|
||
def get_selected_subflow_type(self) -> Optional[str]:
|
||
"""Get currently selected sub-flow type if applicable"""
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
if table.cursor_row is None or not table.rows:
|
||
return None
|
||
|
||
# Get the row key at cursor position
|
||
row_keys = list(table.rows.keys())
|
||
if table.cursor_row >= len(row_keys):
|
||
return None
|
||
|
||
row_key = row_keys[table.cursor_row]
|
||
|
||
# Check if this is a sub-row
|
||
if row_key in self.row_to_subflow_map:
|
||
_, subflow_type = self.row_to_subflow_map[row_key]
|
||
return subflow_type
|
||
|
||
return None
|
||
|
||
def on_data_table_row_highlighted(self, event: DataTable.RowHighlighted) -> None:
|
||
"""Handle row highlight to update selection"""
|
||
selected_flow = self.get_selected_flow()
|
||
subflow_type = self.get_selected_subflow_type()
|
||
|
||
# Debug through app's debug panel
|
||
flow_info = f"{selected_flow.src_ip}:{selected_flow.src_port}" if selected_flow else "None"
|
||
table = self.query_one("#flows-data-table", DataTable)
|
||
current_row = table.cursor_row if table.cursor_row is not None else -1
|
||
|
||
try:
|
||
debug_panel = self.app.query_one("#debug-panel")
|
||
debug_panel.add_debug_message(f"TABLE: Row {current_row} - {flow_info}, subflow:{subflow_type}")
|
||
except:
|
||
pass # Debug panel might not be available yet
|
||
|
||
self.post_message(self.FlowSelected(selected_flow, subflow_type))
|
||
|
||
# Helper methods from original implementation
|
||
def _get_extended_protocol_for_frame(self, flow: 'FlowStats', frame_type: str) -> str:
|
||
"""Get extended protocol for a specific frame type"""
|
||
if frame_type.startswith('CH10') or frame_type == 'TMATS':
|
||
return 'CH10'
|
||
elif frame_type.startswith('PTP'):
|
||
return 'PTP'
|
||
elif frame_type == 'IENA':
|
||
return 'IENA'
|
||
elif frame_type == 'NTP':
|
||
return 'NTP'
|
||
else:
|
||
return self._get_extended_protocol(flow)
|
||
|
||
def _get_extended_protocol(self, flow: 'FlowStats') -> str:
|
||
"""Get extended protocol"""
|
||
if flow.detected_protocol_types:
|
||
enhanced_protocols = {'CHAPTER10', 'CH10', 'PTP', 'IENA'}
|
||
found = flow.detected_protocol_types & enhanced_protocols
|
||
if found:
|
||
protocol = list(found)[0]
|
||
return 'CH10' if protocol in ['CHAPTER10', 'CH10'] else protocol
|
||
return '-'
|
||
|
||
def _get_frame_summary(self, flow: 'FlowStats') -> str:
|
||
"""Get frame type summary"""
|
||
if not flow.frame_types:
|
||
return "General"
|
||
elif len(flow.frame_types) == 1:
|
||
return list(flow.frame_types.keys())[0][:11]
|
||
else:
|
||
return f"{len(flow.frame_types)} types"
|
||
|
||
def _get_protocol_frame_combinations(self, flow: 'FlowStats'):
|
||
"""Get protocol/frame combinations"""
|
||
combinations = []
|
||
total = flow.frame_count
|
||
|
||
for frame_type, stats in flow.frame_types.items():
|
||
extended = self._get_extended_protocol(flow)
|
||
percentage = (stats.count / total * 100) if total > 0 else 0
|
||
combinations.append((extended, frame_type, stats.count, percentage))
|
||
|
||
return sorted(combinations, key=lambda x: x[2], reverse=True)
|
||
|
||
def _format_bytes(self, bytes_count: int) -> str:
|
||
"""Format byte count"""
|
||
if bytes_count >= 1_000_000_000:
|
||
return f"{bytes_count / 1_000_000_000:.1f}G"
|
||
elif bytes_count >= 1_000_000:
|
||
return f"{bytes_count / 1_000_000:.1f}M"
|
||
elif bytes_count >= 1_000:
|
||
return f"{bytes_count / 1_000:.1f}K"
|
||
else:
|
||
return f"{bytes_count}B" |