insight_edgar

Approach

The following dictionaries and lists are used for processing.

main = dict()		# key: IP, value: list[start-time, start unix time, end-time, end unix-time]
time_ip = dict()	# key: last active unix-time, value: list of IPs each in sequential orders
count = dict()  	# key: IP, value: set of IDs
active_time  = []	# list of end unix-time of live sessions

Requirements

This solution is code in Python 3.6.5. The following packages need to be imported.

import sys
import numpy as np
from dateutil.parser import parse

Run Instructions

execute 'run.sh' in terminal

./run.sh

default file names and locations

Python file: ./src/sessionization.py Input csv file: ./input/log.csv Inactivity period file: ./input/inactivity_period.txt Output file: ./output/sessionization.txt

If file names or locations need to be changed, the command in run.sh should also be changed accordingly.