Lanbench Apr 2026
# Implement throughput measurement pass
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
def setup_layout(self): self.app.layout = html.Div([ html.H1("LANBench - Live Network Monitor"), html.Div([ dcc.Graph(id='live-latency'), dcc.Graph(id='live-throughput'), dcc.Graph(id='bandwidth-heatmap'), dcc.Interval(id='interval-update', interval=1000) ]) ])
@app.get("/api/v1/test_status/{test_id}") async def get_test_status(test_id: str): """Get test progress and results""" return get_test_results(test_id) const socket = io('http://localhost:5000')
def export_to_csv(self, filename: str): """Export raw data to CSV""" df = pd.DataFrame(self.results['raw_data']) df.to_csv(filename, index=False)
1. Multi-Protocol Testing Suite # protocols.py from enum import Enum import socket import ssl import asyncio class ProtocolType(Enum): TCP = "tcp" UDP = "udp" TLS = "tls" WEBSOCKET = "websocket" QUIC = "quic" port=redis_port) self.test_nodes = []
<script> const socket = io('http://localhost:5000'); let chart; function startTest() { const config = { type: document.getElementById('test-type').value, host: document.getElementById('target-host').value, duration: parseInt(document.getElementById('duration').value) }; socket.emit('start_test', config); } socket.on('test_update', (data) => { updateChart(data); updateResults(data); }); </script> </body> </html> # reporting.py import pandas as pd from jinja2 import Template import matplotlib.pyplot as plt from reportlab.lib import colors from reportlab.pdfgen import canvas class ReportGenerator: def init (self, test_results: Dict): self.results = test_results
@staticmethod async def udp_jitter_test(host: str, port: int, packet_size: int): """UDP latency and jitter measurement""" sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # Implement jitter calculation pass # metrics.py import psutil import time from dataclasses import dataclass from typing import List, Dict import numpy as np @dataclass class NetworkMetrics: throughput_mbps: float latency_ms: float jitter_ms: float packet_loss_percent: float tcp_retransmissions: int cpu_usage_percent: float memory_usage_mb: float
results = {} for class_name, params in traffic_classes.items(): metrics = AdvancedNetworkTests.send_traffic_class( host, port, params ) results[class_name] = metrics return results
def create_latency_chart(self): return go.Figure( data=[go.Scatter(y=list(self.latency_data), mode='lines+markers')], layout=go.Layout(title="Network Latency Over Time") ) # distributed.py import redis import json from typing import List, Dict from multiprocessing import Pool import asyncio class DistributedTester: def init (self, redis_host='localhost', redis_port=6379): self.redis_client = redis.Redis(host=redis_host, port=redis_port) self.test_nodes = []