mirror of
https://github.com/ail-project/ail-framework.git
synced 2024-09-20 07:58:29 +00:00
138 lines
4.2 KiB
Python
138 lines
4.2 KiB
Python
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#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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'''
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lu
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'''
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import os
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import sys
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import redis
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import datetime
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import heapq
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import operator
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import matplotlib.pyplot as plt
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import numpy as np
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sys.path.append(os.environ['AIL_BIN'])
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from Helper import Process
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def create_pie_chart(db_key, date, pie_title, path, save_name):
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monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
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l_tld = []
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for tld in monthly_credential_by_tld:
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nb_tld = server_statistics.hget(db_key + date, tld)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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l_tld.append( (tld, nb_tld) )
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mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
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# Pie chart, where the slices will be ordered and plotted counter-clockwise:
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labels = []
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sizes = []
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explode = [] # only "explode" the 2nd slice (i.e. 'Hogs')
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for tld in mail_tld_top5:
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labels.append(tld[0])
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sizes.append(tld[1])
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explode.append(0)
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nb_tld = server_statistics.hget(db_key + date, 'lu')
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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labels.append('lu')
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sizes.append(nb_tld)
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explode.append(0.3) # only "explode" lu slice
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explode = tuple(explode)
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fig1, ax1 = plt.subplots()
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ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
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shadow=True, startangle=90)
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ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
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ax1.set_title(pie_title)
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#plt.show()
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plt.savefig(os.path.join(path, save_name))
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plt.close(fig1)
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def create_donut_chart(db_key, date, pie_title, path, save_name):
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monthly_credential_by_tld = server_statistics.hkeys(db_key + date)
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print()
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l_tld = []
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for tld in monthly_credential_by_tld:
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nb_tld = server_statistics.hget(db_key + date, tld)
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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l_tld.append( (tld, nb_tld) )
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mail_tld_top5 = heapq.nlargest(5, l_tld, key=operator.itemgetter(1))
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# Pie chart, where the slices will be ordered and plotted counter-clockwise:
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recipe = []
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data = []
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for tld in mail_tld_top5:
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recipe.append(tld[0])
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data.append(tld[1])
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nb_tld = server_statistics.hget(db_key + date, 'lu')
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if nb_tld is not None:
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nb_tld = int(nb_tld)
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else:
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nb_tld = 0
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recipe.append('lu')
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data.append(nb_tld)
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fig1, ax1 = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal"))
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wedges, texts = ax1.pie(data, wedgeprops=dict(width=0.5), startangle=-40)
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bbox_props = dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72)
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kw = dict(xycoords='data', textcoords='data', arrowprops=dict(arrowstyle="-"),
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bbox=bbox_props, zorder=0, va="center")
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for i, p in enumerate(wedges):
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ang = (p.theta2 - p.theta1)/2. + p.theta1
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y = np.sin(np.deg2rad(ang))
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x = np.cos(np.deg2rad(ang))
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horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))]
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connectionstyle = "angle,angleA=0,angleB={}".format(ang)
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kw["arrowprops"].update({"connectionstyle": connectionstyle})
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ax1.annotate(recipe[i], xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y),
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horizontalalignment=horizontalalignment, **kw)
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ax1.set_title(pie_title)
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#plt.show()
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plt.savefig(os.path.join(path, save_name))
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plt.close(fig1)
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if __name__ == '__main__':
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path = os.path.join(os.environ['AIL_HOME'], 'doc') # path to module config file
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config_section = 'ARDB_Statistics'
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p = Process(config_section, False)
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# ARDB #
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server_statistics = redis.StrictRedis(
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host=p.config.get("ARDB_Statistics", "host"),
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port=p.config.getint("ARDB_Statistics", "port"),
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db=p.config.getint("ARDB_Statistics", "db"),
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decode_responses=True)
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date = datetime.datetime.now().strftime("%Y%m")
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create_pie_chart('credential_by_tld:', date, "AIL: Credential leak by tld", path, 'AIL_credential_by_tld.png')
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create_pie_chart('mail_by_tld:', date, "AIL: mail leak by tld", path, 'AIL_mail_by_tld.png')
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create_pie_chart('SQLInjection_by_tld:', date, "AIL: sqlInjection by tld", path, 'AIL_sqlInjectionl_by_tld.png')
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