Bokeh-Latency-Monitoring

This repository contains a Python script for monitoring network latency using pythonping and visualizing it with Bokeh. The script extracts target IP addresses from a configuration file, pings them to measure latency and packet loss, and updates interactive plots to visualize this data.

Features

• Extract Target IPs: Parses a configuration file to extract IP addresses to monitor.
• Ping Targets: Sends pings to the target IP addresses to measure latency and packet loss.
• Dynamic Visualization: Uses Bokeh to create and update plots in real-time.
• Alerts for Latency Spikes: Highlights latency spikes by changing the line color in the plot.
• Interactive Plotting: Offers interactive features like zooming, panning, and saving plots.

Requirements

• Python 3.x
• bokeh (for interactive plotting)
• pythonping (for sending pings)
• pandas (for handling timestamps and data)
• re (for regular expressions)

You can install the necessary Python packages using pip:

pip install bokeh pythonping pandas

Configuration

Configuration File: Create a file named server_ips_config.txt (or modify the script to use a different file).
This file should contain lines formatted like:

menu = CS2-SERVER
title = CS2-SERVER
host = 155.133.226.71

menu = CS2-SERVER-2
title = CS2-SERVER-2
host = 162.254.196.85

Script Overview

Functions

1. extract_targets_from_config(file_path): Extracts IP addresses from the specified configuration file.

2. create_host_plot(host): Creates a Bokeh plot for a given host.

3. ping_target(target): Sends pings to the target IP and returns average latency and packet loss.

4. update(host, plot, source): Updates the plot with the latest latency data and highlights spikes.

Execution

The script initializes plots for each target IP, updates them every second, and displays the plots in a Bokeh server environment. Latency data is updated in real-time, with a visual indication of latency spikes.

Running the Script

1. Save the script to a file, e.g., Bokeh-Latency-Monitor.py.
2. Ensure your configuration file (smokeping_config.txt) is correctly set up.
3. Run the Bokeh server with the script:

bokeh serve --show Bokeh-Latency-Monitor.py

This command will start a Bokeh server and open your default web browser to display the interactive plots.

Webserver Example

License

This project is licensed under the MIT License. See the LICENSE file for details.