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StreamLens/analyzer/models/flow_stats.py

40 lines
1.3 KiB
Python

"""
Data structures for flow and frame type statistics
"""
from dataclasses import dataclass, field
from typing import Dict, List, Set, Tuple
@dataclass
class FrameTypeStats:
"""Statistics for a specific frame type within a flow"""
frame_type: str
count: int = 0
total_bytes: int = 0
timestamps: List[float] = field(default_factory=list)
frame_numbers: List[int] = field(default_factory=list)
inter_arrival_times: List[float] = field(default_factory=list)
avg_inter_arrival: float = 0.0
std_inter_arrival: float = 0.0
outlier_frames: List[int] = field(default_factory=list)
outlier_details: List[Tuple[int, float]] = field(default_factory=list)
@dataclass
class FlowStats:
"""Statistics for a source-destination IP pair"""
src_ip: str
dst_ip: str
frame_count: int
timestamps: List[float]
frame_numbers: List[int]
inter_arrival_times: List[float]
avg_inter_arrival: float
std_inter_arrival: float
outlier_frames: List[int]
outlier_details: List[Tuple[int, float]] # (frame_number, time_delta)
total_bytes: int
protocols: Set[str]
detected_protocol_types: Set[str] # Enhanced protocol detection (CH10, PTP, IENA, etc)
frame_types: Dict[str, FrameTypeStats] = field(default_factory=dict) # Per-frame-type statistics