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145
pyshark_poc/stats.py
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145
pyshark_poc/stats.py
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from typing import Dict, List, Any, Type, Optional
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import time
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class BaseStats:
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"""Base statistics class for packet flow analysis."""
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def __init__(self):
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self.packet_count = 0
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self.byte_count = 0
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self.first_timestamp = None
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self.last_timestamp = None
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self.packet_sizes = []
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self.inter_arrival_times = []
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self.last_packet_time = None
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def add(self, timestamp: float, size: int, packet: Any):
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"""Add a packet to statistics."""
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self.packet_count += 1
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self.byte_count += size
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self.packet_sizes.append(size)
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if self.first_timestamp is None:
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self.first_timestamp = timestamp
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self.last_timestamp = timestamp
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if self.last_packet_time is not None:
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delta = timestamp - self.last_packet_time
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self.inter_arrival_times.append(delta)
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self.last_packet_time = timestamp
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# Call protocol-specific handler
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self._process_packet(packet)
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def _process_packet(self, packet: Any):
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"""Override in subclasses for protocol-specific processing."""
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pass
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def get_summary_dict(self) -> Dict[str, Any]:
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"""Get summary statistics as dictionary."""
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duration = (self.last_timestamp - self.first_timestamp) if self.first_timestamp and self.last_timestamp else 0
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summary = {
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'Pkts': self.packet_count,
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'Bytes': self.byte_count,
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'Duration': round(duration, 3) if duration else 0,
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'Avg Size': round(sum(self.packet_sizes) / len(self.packet_sizes), 1) if self.packet_sizes else 0,
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}
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if self.inter_arrival_times:
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avg_delta = sum(self.inter_arrival_times) / len(self.inter_arrival_times)
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summary['Avg TimeΔ'] = round(avg_delta, 6)
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# Calculate standard deviation
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if len(self.inter_arrival_times) > 1:
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mean = avg_delta
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variance = sum((x - mean) ** 2 for x in self.inter_arrival_times) / len(self.inter_arrival_times)
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std_dev = variance ** 0.5
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summary['Time 1σ'] = round(std_dev, 6)
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else:
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summary['Time 1σ'] = 0
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else:
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summary['Avg TimeΔ'] = 0
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summary['Time 1σ'] = 0
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if duration > 0:
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summary['Pkt/s'] = round(self.packet_count / duration, 1)
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summary['B/s'] = round(self.byte_count / duration, 1)
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else:
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summary['Pkt/s'] = 0
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summary['B/s'] = 0
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return summary
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class OverviewStats(BaseStats):
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"""Overview statistics for general packet analysis."""
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pass
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class PTPStats(BaseStats):
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"""PTP-specific statistics."""
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def __init__(self):
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super().__init__()
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self.ptp_message_types = {}
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def _process_packet(self, packet: Any):
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"""Process PTP-specific packet information."""
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# Check if packet has PTP layer
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if hasattr(packet, 'ptp'):
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try:
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msg_type = packet.ptp.v2_messagetype if hasattr(packet.ptp, 'v2_messagetype') else 'unknown'
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self.ptp_message_types[msg_type] = self.ptp_message_types.get(msg_type, 0) + 1
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except:
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pass
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def get_summary_dict(self) -> Dict[str, Any]:
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summary = super().get_summary_dict()
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# Add PTP-specific metrics
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if self.ptp_message_types:
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summary['PTP Types'] = str(self.ptp_message_types)
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return summary
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class MultiStats:
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"""Container for multiple stats instances."""
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def __init__(self, stats_classes: Optional[List[Type[BaseStats]]] = None):
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if stats_classes is None:
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stats_classes = [OverviewStats]
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self.stats_instances = [cls() for cls in stats_classes]
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self.stats_classes = stats_classes
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def add(self, timestamp: float, size: int, packet: Any):
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"""Add packet to all stats instances."""
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for stats in self.stats_instances:
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stats.add(timestamp, size, packet)
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def get_combined_summary(self) -> Dict[str, Any]:
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"""Combine summaries from all stats instances."""
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combined = {}
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for i, stats in enumerate(self.stats_instances):
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summary = stats.get_summary_dict()
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class_name = self.stats_classes[i].__name__.replace('Stats', '')
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# Add prefix to avoid column name conflicts
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for key, value in summary.items():
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if key in ['Pkts', 'Bytes', 'Duration']: # Common columns
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if i == 0: # Only include once
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combined[key] = value
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else:
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# Only add prefix if we have multiple stats classes
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if len(self.stats_classes) > 1:
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combined[f"{class_name}:{key}"] = value
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else:
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combined[key] = value
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return combined
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# Stats registry for easy lookup
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STATS_TYPES = {
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'overview': OverviewStats,
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'ptp': PTPStats,
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}
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