mirror of https://github.com/CIRCL/AIL-framework
157 lines
6.2 KiB
Python
Executable File
157 lines
6.2 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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"""
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This module makes statistics for some modules and providers
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"""
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##################################
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# Import External packages #
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##################################
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import time
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import datetime
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import redis
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import os
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import sys
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sys.path.append(os.environ['AIL_BIN'])
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##################################
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# Import Project packages #
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##################################
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from modules.abstract_module import AbstractModule
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from packages.Date import Date
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from packages import Paste
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import ConfigLoader
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class ModuleStats(AbstractModule):
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"""
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Module Statistics module for AIL framework
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"""
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# Config Var
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MAX_SET_CARDINALITY = 8
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def __init__(self):
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super(ModuleStats, self).__init__()
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# Waiting time in secondes between to message proccessed
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self.pending_seconds = 20
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# Sent to the logging a description of the module
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self.redis_logger.info("Makes statistics about valid URL")
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# REDIS #
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self.r_serv_trend = ConfigLoader.ConfigLoader().get_redis_conn("ARDB_Trending")
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def compute(self, message):
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if len(message.split(';')) > 1:
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self.compute_most_posted(message)
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else:
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self.compute_provider_info(message)
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def get_date_range(self, num_day):
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curr_date = datetime.date.today()
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date = Date(str(curr_date.year)+str(curr_date.month).zfill(2)+str(curr_date.day).zfill(2))
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date_list = []
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for i in range(0, num_day+1):
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date_list.append(date.substract_day(i))
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return date_list
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def compute_most_posted(self, message):
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module, num, keyword, paste_date = message.split(';')
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redis_progression_name_set = 'top_'+ module +'_set_' + paste_date
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# Add/Update in Redis
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self.r_serv_trend.hincrby(paste_date, module+'-'+keyword, int(num))
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# Compute Most Posted
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date = self.get_date_range(0)[0]
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# check if this keyword is eligible for progression
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keyword_total_sum = 0
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curr_value = self.r_serv_trend.hget(date, module+'-'+keyword)
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keyword_total_sum += int(curr_value) if curr_value is not None else 0
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if self.r_serv_trend.zcard(redis_progression_name_set) < self.MAX_SET_CARDINALITY:
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self.r_serv_trend.zadd(redis_progression_name_set, float(keyword_total_sum), keyword)
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else: # not in set
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member_set = self.r_serv_trend.zrangebyscore(redis_progression_name_set, '-inf', '+inf', withscores=True, start=0, num=1)
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# Member set is a list of (value, score) pairs
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if int(member_set[0][1]) < keyword_total_sum:
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#remove min from set and add the new one
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self.redis_logger.debug(module + ': adding ' +keyword+ '(' +str(keyword_total_sum)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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self.r_serv_trend.zrem(redis_progression_name_set, member_set[0][0])
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self.r_serv_trend.zadd(redis_progression_name_set, float(keyword_total_sum), keyword)
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self.redis_logger.debug(redis_progression_name_set)
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def compute_provider_info(self, message):
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redis_all_provider = 'all_provider_set'
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paste = Paste.Paste(message)
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paste_baseName = paste.p_name.split('.')[0]
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paste_size = paste._get_p_size()
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paste_provider = paste.p_source
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paste_date = str(paste._get_p_date())
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redis_sum_size_set = 'top_size_set_' + paste_date
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redis_avg_size_name_set = 'top_avg_size_set_' + paste_date
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redis_providers_name_set = 'providers_set_' + paste_date
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# Add/Update in Redis
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self.r_serv_trend.sadd(redis_all_provider, paste_provider)
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num_paste = int(self.r_serv_trend.hincrby(paste_provider+'_num', paste_date, 1))
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sum_size = float(self.r_serv_trend.hincrbyfloat(paste_provider+'_size', paste_date, paste_size))
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new_avg = float(sum_size) / float(num_paste)
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self.r_serv_trend.hset(paste_provider +'_avg', paste_date, new_avg)
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#
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# Compute Most Posted
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#
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# Size
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if self.r_serv_trend.zcard(redis_sum_size_set) < self.MAX_SET_CARDINALITY or self.r_serv_trend.zscore(redis_sum_size_set, paste_provider) != "nil":
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self.r_serv_trend.zadd(redis_sum_size_set, float(num_paste), paste_provider)
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self.r_serv_trend.zadd(redis_avg_size_name_set, float(new_avg), paste_provider)
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else: #set full capacity
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member_set = self.r_serv_trend.zrangebyscore(redis_sum_size_set, '-inf', '+inf', withscores=True, start=0, num=1)
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# Member set is a list of (value, score) pairs
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if float(member_set[0][1]) < new_avg:
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#remove min from set and add the new one
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self.redis_logger.debug('Size - adding ' +paste_provider+ '(' +str(new_avg)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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self.r_serv_trend.zrem(redis_sum_size_set, member_set[0][0])
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self.r_serv_trend.zadd(redis_sum_size_set, float(sum_size), paste_provider)
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self.r_serv_trend.zrem(redis_avg_size_name_set, member_set[0][0])
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self.r_serv_trend.zadd(redis_avg_size_name_set, float(new_avg), paste_provider)
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# Num
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# if set not full or provider already present
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if self.r_serv_trend.zcard(redis_providers_name_set) < self.MAX_SET_CARDINALITY or self.r_serv_trend.zscore(redis_providers_name_set, paste_provider) != "nil":
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self.r_serv_trend.zadd(redis_providers_name_set, float(num_paste), paste_provider)
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else: #set at full capacity
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member_set = self.r_serv_trend.zrangebyscore(redis_providers_name_set, '-inf', '+inf', withscores=True, start=0, num=1)
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# Member set is a list of (value, score) pairs
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if int(member_set[0][1]) < num_paste:
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#remove min from set and add the new one
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self.redis_logger.debug('Num - adding ' +paste_provider+ '(' +str(num_paste)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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self.r_serv_trend.zrem(member_set[0][0])
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self.r_serv_trend.zadd(redis_providers_name_set, float(num_paste), paste_provider)
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if __name__ == '__main__':
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module = ModuleStats()
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module.run()
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