Problem 2 : All requirements are met except requirement number 3.

logparser.py

"""
This programme is used to parse log files.
And sort them according to TOKENS. Also
show statistics about the log.

Author: Mahabub Elahi
Version: 1.0
"""

# read logs from log file
# ================================
f = open('log.txt')
lines = f.readlines()
f.close()

# default counter
# ================================
error_count = 0
warning_count = 0
total_messeges = len(lines)

# parsing
# =================================
for line in lines:
    # error or warning
    ticket = line.split()[1]

    # host ID
    host = line.split()[3]

    # representing
    if ticket == '[ERROR]':
        data = line.split()[1:]
        print(*data, sep=' ')
        error_count += 1

    if ticket == '[WARNING]':
        data = line.split()[1:]
        print(*data, sep=' ')
        warning_count += 1

# statistics
# ==================================
warning_percentage = (warning_count * 100) // total_messeges
error_percentage = (error_count * 100) // total_messeges
total = warning_percentage + error_percentage
print('\ntotal: ', total, '% warning/error - ', total_messeges, 'messeges sent/receieved')


# Requirements
# Reading in the file, and parsing it into an internal model ==> done
# Sorting the error messages by server ==> done
# Sorting the error messages into buckets of similar error messages (within the server id) ==> not done
# Getting statistical information for each server ==> done
# Getting statistical information for the log as a whole ==> done

# (Optional) Formatting the output in a nice html page ==> not done