Lanbench May 2026

class TestConfig(BaseModel): test_type: str target_host: str duration: int protocol: str = "tcp" packet_size: Optional[int] = 1400

def export_to_pdf(self, filename: str): """Generate PDF report""" c = canvas.Canvas(filename) c.drawString(100, 750, "LANBench Performance Report") # Add more report content c.save() # api.py from fastapi import FastAPI, WebSocket, BackgroundTasks from pydantic import BaseModel from typing import Optional import uvicorn app = FastAPI(title="LANBench API") LANBench

@app.websocket("/ws/live") async def websocket_endpoint(websocket: WebSocket): """WebSocket for real-time updates""" await websocket.accept() while True: data = await websocket.receive_text() # Process real-time data await websocket.send_json({"status": "updating", "data": data}) # requirements.txt fastapi==0.104.1 uvicorn==0.24.0 dash==2.14.0 plotly==5.17.0 psutil==5.9.5 numpy==1.24.3 pandas==2.1.0 scapy==2.5.0 redis==5.0.1 websockets==12.0 python-socketio==5.10.0 reportlab==4.0.4 jinja2==3.1.2 Quick Start Example # main.py from fastapi import FastAPI import asyncio async def main(): # Initialize LANBench with all features dashboard = LiveDashboard() api_server = FastAPI() distributed_tester = DistributedTester() LANBench

def collect_system_metrics(self) -> Dict: """Collect real-time system metrics""" return { 'cpu_percent': psutil.cpu_percent(interval=1), 'memory_percent': psutil.virtual_memory().percent, 'network_io': psutil.net_io_counters(), 'connections': len(psutil.net_connections()) } LANBench

results = {} for class_name, params in traffic_classes.items(): metrics = AdvancedNetworkTests.send_traffic_class( host, port, params ) results[class_name] = metrics return results

class MetricsCollector: def (self): self.metrics_history: List[NetworkMetrics] = []