import pandas as pd

import matplotlib.pyplot as plt

 

def process_files(file1, file2, cpu):

    hi_values_file1 = []

    hi_values_file2 = []

    lo_values_file1 = []

    lo_values_file2 = []

 

    # Read first 1000 lines from each file

    for file_index, file in enumerate([file1, file2]):
        # Read the data with semicolon as the separator
        if cpu == True: 
            data = pd.read_csv(file, header=None, nrows=1000, sep=';')
        else: 
            data = pd.read_csv(file, header=None, skiprows=1000, nrows=1000, sep=';')

       

        for index, row in data.iterrows():

            # Convert columns to numeric

            cols = row.apply(pd.to_numeric, errors='coerce')  # Handle non-numeric gracefully

           

            # Calculate sums

            hi_sum = cols[0] + cols[1] + cols[4] + cols[7]

            lo_sum = cols[2] + cols[3] + cols[5] + cols[6]

 

            if file_index == 0:  # File 1

                hi_values_file1.append(hi_sum)

                lo_values_file1.append(lo_sum)

            else:  # File 2

                hi_values_file2.append(hi_sum)

                lo_values_file2.append(lo_sum)

 

    return hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2

 

def plot_boxplots(hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2,cpu):

    # Prepare data for box plots

    data_hi = [hi_values_file1, hi_values_file2]

    data_lo = [lo_values_file1, lo_values_file2]

 

    # Create Box Plot for HI values

    plt.figure(figsize=(10, 5))

    plt.boxplot(data_hi, labels=['Idle time', 'FTP'], patch_artist=True)

    plt.title('Evaluation 2: Compute the number of HI missed deadline')

    plt.ylabel('Number of HI missed deadline')

    plt.grid(True)

    if cpu == 70 :
    	plt.savefig("mygraph_eval2_HI_cpu70.png")
    else :
        plt.savefig("mygraph_eval2_HI_cpu90.png")
 

    # Create Box Plot for LO values

    plt.figure(figsize=(10, 5))

    plt.boxplot(data_lo, labels=['Idle time', 'FTP'], patch_artist=True)

    plt.title('Evaluation 2: Compute the number of LO missed deadline')

    plt.ylabel('Number of LO missed deadline')

    plt.grid(True)

    if cpu == 70: 
    	plt.savefig("mygraph_eval2_LO_cpu70.png")
    else:
    	plt.savefig("mygraph_eval2_LO_cpu90.png")

 

if __name__ == "__main__":

    file1 = 'data_eval_protocol1.csv'  # Replace with your first file name
    file2 = 'data_eval_protocol2.csv'  # Replace with your second file name

 

    hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2 = process_files(file1, file2,True)
    plot_boxplots(hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2,70)
    hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2 = process_files(file1, file2,False)
    plot_boxplots(hi_values_file1, hi_values_file2, lo_values_file1, lo_values_file2,90)