mirror of https://github.com/CIRCL/AIL-framework
156 lines
6.1 KiB
Python
Executable File
156 lines
6.1 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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import time
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import datetime
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import redis
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import os
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from packages.Date import Date
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from pubsublogger import publisher
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from Helper import Process
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from packages import Paste
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# Config Var
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max_set_cardinality = 8
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def get_date_range(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(server, 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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server.hincrby(paste_date, module+'-'+keyword, int(num))
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# Compute Most Posted
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date = 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 = server.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 server.zcard(redis_progression_name_set) < max_set_cardinality:
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server.zadd(redis_progression_name_set, float(keyword_total_sum), keyword)
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else: # not in set
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member_set = server.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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print(module + ': adding ' +keyword+ '(' +str(keyword_total_sum)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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server.zrem(redis_progression_name_set, member_set[0][0])
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server.zadd(redis_progression_name_set, float(keyword_total_sum), keyword)
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print(redis_progression_name_set)
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def compute_provider_info(server_trend, path):
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redis_all_provider = 'all_provider_set'
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paste = Paste.Paste(path)
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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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server_trend.sadd(redis_all_provider, paste_provider)
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num_paste = int(server_trend.hincrby(paste_provider+'_num', paste_date, 1))
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sum_size = float(server_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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server_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 server_trend.zcard(redis_sum_size_set) < max_set_cardinality or server_trend.zscore(redis_sum_size_set, paste_provider) != "nil":
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server_trend.zadd(redis_sum_size_set, float(num_paste), paste_provider)
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server_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 = server_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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print('Size - adding ' +paste_provider+ '(' +str(new_avg)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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server_trend.zrem(redis_sum_size_set, member_set[0][0])
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server_trend.zadd(redis_sum_size_set, float(sum_size), paste_provider)
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server_trend.zrem(redis_avg_size_name_set, member_set[0][0])
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server_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 server_trend.zcard(redis_providers_name_set) < max_set_cardinality or server_trend.zscore(redis_providers_name_set, paste_provider) != "nil":
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server_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 = server_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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print('Num - adding ' +paste_provider+ '(' +str(num_paste)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')')
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server_trend.zrem(member_set[0][0])
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server_trend.zadd(redis_providers_name_set, float(num_paste), paste_provider)
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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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# Port of the redis instance used by pubsublogger
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publisher.port = 6380
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# Script is the default channel used for the modules.
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publisher.channel = 'Script'
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# Section name in bin/packages/modules.cfg
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config_section = 'ModuleStats'
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# Setup the I/O queues
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p = Process(config_section)
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# Sent to the logging a description of the module
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publisher.info("Makes statistics about valid URL")
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# REDIS #
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r_serv_trend = redis.StrictRedis(
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host=p.config.get("ARDB_Trending", "host"),
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port=p.config.get("ARDB_Trending", "port"),
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db=p.config.get("ARDB_Trending", "db"),
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decode_responses=True)
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# Endless loop getting messages from the input queue
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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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publisher.debug("{} queue is empty, waiting".format(config_section))
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print('sleeping')
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time.sleep(20)
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continue
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else:
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# Do something with the message from the queue
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if len(message.split(';')) > 1:
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compute_most_posted(r_serv_trend, message)
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else:
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compute_provider_info(r_serv_trend, message)
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