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Fixed bug with redis where the inserted key was too long, causing a crash + fixed bug taking min instead of max in terms-top-set
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parent
2466f355ab
commit
003c72bd7c
3 changed files with 11 additions and 15 deletions
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@ -55,7 +55,7 @@ def check_if_tracked_term(term, path):
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if term in TrackedTermsSet_Name:
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if term in TrackedTermsSet_Name:
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#add_paste to tracked_word_set
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#add_paste to tracked_word_set
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set_name = "tracked_" + term
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set_name = "tracked_" + term
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server.sadd(set_name, path)
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server_term.sadd(set_name, path)
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p.populate_set_out("New Term added", 'CurveManageTopSets')
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p.populate_set_out("New Term added", 'CurveManageTopSets')
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@ -113,7 +113,7 @@ if __name__ == "__main__":
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temp = filename.split('/')
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temp = filename.split('/')
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date = temp[-4] + temp[-3] + temp[-2]
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date = temp[-4] + temp[-3] + temp[-2]
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timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0))
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timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0))
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top_termFreq_setName_day[0] += str(timestamp)
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curr_set = top_termFreq_setName_day[0] + str(timestamp)
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low_word = word.lower()
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low_word = word.lower()
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@ -123,8 +123,8 @@ if __name__ == "__main__":
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# Update redis
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# Update redis
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curr_word_value = int(server_term.hincrby(timestamp, low_word, int(score)))
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curr_word_value = int(server_term.hincrby(timestamp, low_word, int(score)))
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if low_word not in server.smembers(BlackListTermsSet_Name):
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if low_word not in server_term.smembers(BlackListTermsSet_Name):
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server.zincrby(top_termFreq_setName_day[0], int(score), low_word)
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server_term.zincrby(curr_set, low_word, float(score))
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#Add more info for tracked terms
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#Add more info for tracked terms
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check_if_tracked_term(low_word, filename)
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check_if_tracked_term(low_word, filename)
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@ -52,11 +52,10 @@ def manage_top_set():
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# Retreive top data (2*max_card) from days sets
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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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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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curr_set = top_termFreq_setName_day[0] + str(timestamp)
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print top_termFreq_setName_day[0]
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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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array_top_day = server_term.zrangebyscore(curr_set, '-inf', '+inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
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print array_top_day
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for word, value in array_top_day:
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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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if word in dico.keys():
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dico[word] += value
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dico[word] += value
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else:
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else:
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@ -78,9 +77,6 @@ def manage_top_set():
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array_week.sort(key=lambda tup: -tup[1])
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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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array_week = array_week[0:20]
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print array_month
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print array_week
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# suppress every terms in top sets
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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 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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for w in server_term.zrange(curr_set, 0, -1):
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@ -760,7 +760,7 @@ def terms_plot_top_data():
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if the_set == "TopTermFreq_set_day":
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if the_set == "TopTermFreq_set_day":
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the_set += "_" + str(today_timestamp)
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the_set += "_" + str(today_timestamp)
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for term, tot_value in r_serv_term.zrangebyscore(the_set, '-inf', '+inf', withscores=True, start=0, num=20):
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for term, tot_value in r_serv_term.zrevrangebyscore(the_set, '+inf', '-inf', withscores=True, start=0, num=20):
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value_range = []
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value_range = []
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for timestamp in range(today_timestamp, today_timestamp - num_day*oneDay, -oneDay):
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for timestamp in range(today_timestamp, today_timestamp - num_day*oneDay, -oneDay):
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value = r_serv_term.hget(timestamp, term)
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value = r_serv_term.hget(timestamp, term)
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