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128 lines
4.3 KiB
Python
Executable file
128 lines
4.3 KiB
Python
Executable file
#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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"""
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This module manage top sets for terms frequency.
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Every 'refresh_rate' update the weekly and monthly set
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Requirements
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------------
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*Need running Redis instances. (Redis)
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*Categories files of words in /files/ need to be created
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*Need the ZMQ_PubSub_Tokenize_Q Module running to be able to work properly.
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"""
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import redis
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import time
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import copy
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from pubsublogger import publisher
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from packages import lib_words
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import datetime
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import calendar
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import os
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import ConfigParser
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# Config Variables
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Refresh_rate = 60*5 #sec
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BlackListTermsSet_Name = "BlackListSetTermSet"
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TrackedTermsSet_Name = "TrackedSetTermSet"
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top_term_freq_max_set_cardinality = 20 # Max cardinality of the terms frequences set
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oneDay = 60*60*24
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num_day_month = 31
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num_day_week = 7
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top_termFreq_setName_day = ["TopTermFreq_set_day_", 1]
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top_termFreq_setName_week = ["TopTermFreq_set_week", 7]
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top_termFreq_setName_month = ["TopTermFreq_set_month", 31]
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top_termFreq_set_array = [top_termFreq_setName_day,top_termFreq_setName_week, top_termFreq_setName_month]
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def manage_top_set():
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startDate = datetime.datetime.now()
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startDate = startDate.replace(hour=0, minute=0, second=0, microsecond=0)
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startDate = calendar.timegm(startDate.timetuple())
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dico = {}
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# Retreive top data (2*max_card) from days sets
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for timestamp in range(startDate, startDate - top_termFreq_setName_month[1]*oneDay, -oneDay):
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curr_set = top_termFreq_setName_day[0] + str(timestamp)
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array_top_day = server_term.zrevrangebyscore(curr_set, '+inf', '-inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
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for word, value in array_top_day:
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if word not in server_term.smembers(BlackListTermsSet_Name):
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if word in dico.keys():
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dico[word] += value
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else:
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dico[word] = value
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if timestamp == startDate - num_day_week*oneDay:
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dico_week = copy.deepcopy(dico)
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# convert dico into sorted array
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array_month = []
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for w, v in dico.iteritems():
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array_month.append((w, v))
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array_month.sort(key=lambda tup: -tup[1])
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array_month = array_month[0:20]
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array_week = []
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for w, v in dico_week.iteritems():
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array_week.append((w, v))
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array_week.sort(key=lambda tup: -tup[1])
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array_week = array_week[0:20]
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# suppress every terms in top sets
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for curr_set, curr_num_day in top_termFreq_set_array[1:3]:
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for w in server_term.zrange(curr_set, 0, -1):
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server_term.zrem(curr_set, w)
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# Add top term from sorted array in their respective sorted sets
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for elem in array_week:
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server_term.zadd(top_termFreq_setName_week[0], float(elem[1]), elem[0])
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for elem in array_month:
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server_term.zadd(top_termFreq_setName_month[0], float(elem[1]), elem[0])
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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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configfile = os.path.join(os.environ['AIL_BIN'], 'packages/config.cfg')
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if not os.path.exists(configfile):
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raise Exception('Unable to find the configuration file. \
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Did you set environment variables? \
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Or activate the virtualenv.')
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cfg = ConfigParser.ConfigParser()
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cfg.read(configfile)
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server_term = redis.StrictRedis(
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host=p.config.get("Redis_Level_DB_TermFreq", "host"),
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port=p.config.get("Redis_Level_DB_TermFreq", "port"),
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db=p.config.get("Redis_Level_DB_TermFreq", "db"))
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publisher.info("Script Curve_manage_top_set started")
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# Sent to the logging a description of the module
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publisher.info("Manage the top sets with the data created by the module curve.")
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manage_top_set()
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while True:
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# Get one message from the input queue (module only work if linked with a queue)
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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(Refresh_rate) # sleep a long time then manage the set
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manage_top_set()
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continue
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