csv_plot_maker/csv_plot__maker at main · Loftven/csv_plot_maker · GitHub

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import pyshark
import numpy as np
from matplotlib import figure
import pandas as pd
import gc


def plot_sizes(length, time, name, start, stop):

    """
    Plots the size of packets against their arrival time.

    Args:
        length (np.ndarray): An array of packet sizes.
        time (np.ndarray): An array of arrival times.
        name (str): The name of the output file.
        start (float): The start time of the interval.
        stop (float): The end time of the interval.

    Returns:
        None.

    """

    fig = figure.Figure()
    ax = fig.add_axes([0.1, 0.1, 0.88, 0.88])
    ax.set(xlabel='arrival time', ylabel='size of packet', xlim=(start, stop), ylim=(0, 1500))
    ax.set_yticks(np.arange(0, 1500, step=200))
    ax.plot(time, length,'o', markersize=1)
    fig.savefig(name, dpi=900)
    fig.clf()
    gc.collect()


def plot_delta(length, time_delta, name):

    """
    Plots the delta time between packet arrivals.

    Args:
        length (np.ndarray): An array of packet sizes.
        time_delta (np.ndarray): An array of arrival times.
        name (str): The name of the output file.

    Returns:
        None.

    """

    fig = figure.Figure()
    ax = fig.add_axes([0.1, 0.1, 0.88, 0.88])
    ax.set(xlabel='size of packet', ylabel='delta time of arrival', xlim=(0,1500), ylim=(0,60))
    ax.set_xticks(np.arange(0, 1500, step=200))
    ax.plot(length, time_delta, 'o', markersize=1, alpha=0.1, c='r') # (x, y)
    fig.savefig(name, dpi=900)


def delta_name_png(name):

    name2 = [x for x in name.split('.')]
    return name2[0] + 'delta' +'.png'


def name_png_for_intervals(name, num):

    name2 = [x for x in name.split('.')]
    return name2[0] + '_' +str(num) + '.png'


def get_data(pcap):

    """
    Extracts packet length, arrival time, and delta time data from a pcap file.

    Args:
        pcap (pyshark.FileCapture): The pcap file to extract data from.

    Returns:
        tuple[list, list, list]: A tuple containing the packet length, arrival time, and delta time data.

    """

    length, time, delta_time = [], [], []

    for i, pack in enumerate(pcap):

        length.append(int(pack.frame_info.len))
        time.append(float(pack.frame_info.time_relative))
        delta_time.append(float(pack.frame_info.time_delta))

    print('data extact successfully')

    return length, time, delta_time


def make_csv(cap, name_csv):
    """
    Creates a CSV file containing packet length, arrival time, and delta time data.

    Args:
        cap (pyshark.FileCapture): The captured network traffic.
        name_csv (str): The name of the CSV file.

    Returns:
        str: The path to the CSV file.

    """
    length, timing, delta_time = get_data(cap)
    csv_table = {'Length': length, 'Time': timing, 'DTime': delta_time}
    df = pd.DataFrame(data=csv_table)
    name_csv = name_csv.split('.')[0] + '.csv'
    df.to_csv(name_csv, index=False)

    return name_csv


def make_plot_from_csv(path, start=0, dur=60, step=15):
    """
    Creates a Matplotlib plot from a CSV file containing packet length and arrival time data.

    Args:
        path (str): The path to the CSV file.
        start (int): The start time of the interval, in seconds.
        dur (int): The duration of the interval, in seconds.
        step (int): The step size of the intervals, in seconds.

    Returns:
        None.

    """
    df = pd.read_csv(path)
    len_ar = df['Length'].to_numpy()
    time_ar = df['Time'].to_numpy()
    i = 0
    stop = start + dur

    while start+dur < time_ar[-1]:
        time_interval = time_ar[np.where((time_ar <= stop ) & (time_ar >= start))]
        length_interval = len_ar[np.where((time_ar <= stop ) & (time_ar >= start))] # this part i need /60 and * 25 to  mapp interval from 60 to 1500
        plot_sizes(length_interval, time_interval, name_png_for_intervals(path, i), start, stop)
        i+=1
        start+= step
        stop = start + dur


def make_plot_delta_form_csv(path):
    """
    Plots the delta time between packet arrivals based on a csv file.

    Args:
        path (str): The path to the csv file.

    Returns:
        None.

    """
    df = pd.read_csv(path)
    len_ar = df['Length'].to_numpy()
    delta_time = df['DTime'].to_numpy()
    plot_delta(len_ar, delta_time, delta_name_png(path))


if __name__ == '__main__':


    try:

        file_path = input("Iput path to the file into the window. \nThe program support *.pcap and *.csv.\n Press enter: ")

        if '.csv' in file_path:

            make_plot_delta_form_csv(file_path)
            make_plot_from_csv(file_path)

        elif '.pcap' in file_path:

            cap = pyshark.FileCapture(file_path)
            make_csv(cap, str(cap.input_filepath).split('/')[-1])

    except Exception as e:
        print(e)