Response_time_evaluator_

import requests
import csv
import pandas as pd



data=dict()
date=list()
time=list()
request=list()
timetaken=list()
path=list()


def web_request() -> str:
    file = requests.get("http://ka-mao.xyz/log/rtime")
    return file.text


def dataframe_dict() -> None :
    lines=web_request().split("\n")
    for line in lines[:-1]:

            sep=line.split(' ')

            # print(sep[0])
            # print(sep[1])
            # print(sep[4])
            # print(sep[5])
            # print(sep[-2])


            date.append(sep[0].replace(',',''))
            time.append(sep[1])
            request.append(sep[4])
            path.append(sep[5])


            timetaken.append(float(line.split(' ')[-2].replace('ms',"")))


dataframe_dict()



def dataframe()    -> None :
    data={'date':date,"time":time ,'request ':request ,"path ":path ,"timetaken":timetaken}
    print('size of the columns :',end='\n')
    print('date:',len(date),'time:',len(time),'request:',len(request),'path:',len(path),'timetaken:',len(timetaken))
    df = pd.DataFrame.from_dict(data=data,orient='columns')
    # df=df.transpose()

    df.to_csv('./timeout.csv')

    max:int
    min:int
    for x in range(len(df['timetaken'])):
        if df['timetaken'].max()==df['timetaken'][x]:
            max=x

        if df['timetaken'].min()==df['timetaken'][x]:
            min =x

    print ('--'*50)
    print('MAX:')
    print()
    print(df.iloc[max])
    print("--"*50)
    print('MIN:')
    print()
    print(df.iloc[min])


dataframe()