mirror of https://github.com/CIRCL/AIL-framework
Fix pep8
parent
34e23998b1
commit
62eef44ca8
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@ -6,22 +6,21 @@
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import time
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import datetime
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import re
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import redis
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import os
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from packages import lib_words
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from packages.Date import Date
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from pubsublogger import publisher
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from packages import Paste
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from Helper import Process
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from pyfaup.faup import Faup
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# Config Var
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threshold_need_to_look = 50
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range_to_look = 10
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threshold_to_plot = 1 #500%
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to_plot = set()
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clean_frequency = 10 #minutes
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threshold_need_to_look = 50
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range_to_look = 10
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threshold_to_plot = 1 # 500%
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to_plot = set()
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clean_frequency = 10 # minutes
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def analyse(server, field_name):
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field = url_parsed[field_name]
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@ -32,6 +31,7 @@ def analyse(server, field_name):
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else:
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server.hset(field, date, 1)
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def analyse_and_progression(server, field_name):
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field = url_parsed[field_name]
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if field is not None:
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@ -39,43 +39,34 @@ def analyse_and_progression(server, field_name):
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if prev_score is not None:
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print field + ' prev_score:' + prev_score
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server.hset(field, date, int(prev_score) + 1)
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if int(prev_score) + 1 > threshold_need_to_look: #threshold for false possitive
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if int(prev_score) + 1 > threshold_need_to_look: # threshold for false possitive
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if(check_for_progression(server, field, date)):
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to_plot.add(field)
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else:
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server.hset(field, date, 1)
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def check_for_progression(server, field, date):
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previous_data = set()
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tot_sum = 0
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for i in range(0, range_to_look):
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curr_value = server.hget(field, Date(date).substract_day(i))
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if curr_value is None: #no further data
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if curr_value is None: # no further data
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break
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else:
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curr_value = int(curr_value)
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previous_data.add(curr_value)
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tot_sum += curr_value
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tot_sum += curr_value
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if i == 0:
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today_val = curr_value
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print 'totsum='+str(tot_sum)
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print 'div='+str(tot_sum/today_val)
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if tot_sum/today_val >= threshold_to_plot:
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print 'totsum=' + str(tot_sum)
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print 'div=' + str(tot_sum / today_val)
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if tot_sum / today_val >= threshold_to_plot:
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return True
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else:
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return False
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def clean_to_plot():
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temp_to_plot = set()
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curr_date = datetime.date.today()
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date = Date(str(curr_date.year)+str(curr_date.month)+str(curr_date.day))
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for elem in to_plot:
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if(check_for_progression(field, date)):
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temp_to_plot.add(elem)
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to_plot = temp_to_plot
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if __name__ == '__main__':
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# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)
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@ -98,7 +89,7 @@ if __name__ == '__main__':
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host=p.config.get("Redis_Level_DB", "host"),
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port=p.config.get("Redis_Level_DB", "port"),
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db=p.config.get("Redis_Level_DB", "db"))
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r_serv2 = redis.StrictRedis(
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host=p.config.get("Redis_Level_DB_Domain", "host"),
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port=p.config.get("Redis_Level_DB_Domain", "port"),
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@ -106,18 +97,17 @@ if __name__ == '__main__':
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# FILE CURVE SECTION #
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csv_path_proto = os.path.join(os.environ['AIL_HOME'],
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p.config.get("Directories", "protocolstrending_csv"))
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p.config.get("Directories", "protocolstrending_csv"))
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protocolsfile_path = os.path.join(os.environ['AIL_HOME'],
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p.config.get("Directories", "protocolsfile"))
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p.config.get("Directories", "protocolsfile"))
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csv_path_tld = os.path.join(os.environ['AIL_HOME'],
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p.config.get("Directories", "tldstrending_csv"))
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p.config.get("Directories", "tldstrending_csv"))
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tldsfile_path = os.path.join(os.environ['AIL_HOME'],
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p.config.get("Directories", "tldsfile"))
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csv_path_domain = os.path.join(os.environ['AIL_HOME'],
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p.config.get("Directories", "domainstrending_csv"))
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p.config.get("Directories", "domainstrending_csv"))
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faup = Faup()
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generate_new_graph = False
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@ -125,7 +115,7 @@ if __name__ == '__main__':
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while True:
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# Get one message from the input queue
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message = p.get_from_set()
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if message is None:
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if generate_new_graph:
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generate_new_graph = False
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@ -143,8 +133,7 @@ if __name__ == '__main__':
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month)
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lib_words.create_curve_with_list(r_serv2, csv_path_domain,
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to_plot, year,
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month)
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to_plot, year, month)
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print 'end building'
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publisher.debug("{} queue is empty, waiting".format(config_section))
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@ -152,13 +141,13 @@ if __name__ == '__main__':
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time.sleep(5)
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continue
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else:
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else:
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generate_new_graph = True
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# Do something with the message from the queue
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url, date = message.split()
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faup.decode(url)
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url_parsed = faup.get()
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analyse(r_serv1, 'scheme') #Scheme analysis
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analyse(r_serv1, 'tld') #Tld analysis
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analyse_and_progression(r_serv2, 'domain') #Domain analysis
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analyse(r_serv1, 'scheme') # Scheme analysis
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analyse(r_serv1, 'tld') # Tld analysis
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analyse_and_progression(r_serv2, 'domain') # Domain analysis
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