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)
def generate_html_report(self) -> str: """Generate HTML report with charts""" template = Template(""" <html> <head><title>LANBench Test Report</title></head> <body> <h1>Network Performance Report</h1> <h2>Summary</h2> <table> <tr><th>Metric</th><th>Value</th></tr> <tr><td>Avg Throughput</td><td>{{ throughput }} Mbps</td></tr> <tr><td>Avg Latency</td><td>{{ latency }} ms</td></tr> <tr><td>Packet Loss</td><td>{{ packet_loss }}%</td></tr> </table> <img src="chart.png" alt="Performance Chart"> </body> </html> """) return template.render(**self.results)
# Implement throughput measurement pass
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")