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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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This commit is contained in:
Mokaddem 2016-08-22 16:01:42 +02:00
parent 2466f355ab
commit 003c72bd7c
3 changed files with 11 additions and 15 deletions
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8
bin/Curve.py
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@ -55,7 +55,7 @@ def check_if_tracked_term(term, path):
if term in TrackedTermsSet_Name: if term in TrackedTermsSet_Name:
#add_paste to tracked_word_set #add_paste to tracked_word_set
set_name = "tracked_" + term set_name = "tracked_" + term
server.sadd(set_name, path) server_term.sadd(set_name, path)
p.populate_set_out("New Term added", 'CurveManageTopSets') p.populate_set_out("New Term added", 'CurveManageTopSets')
@ -113,7 +113,7 @@ if __name__ == "__main__":
temp = filename.split('/') temp = filename.split('/')
date = temp[-4] + temp[-3] + temp[-2] date = temp[-4] + temp[-3] + temp[-2]
timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0)) timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0))
top_termFreq_setName_day[0] += str(timestamp) curr_set = top_termFreq_setName_day[0] + str(timestamp)
low_word = word.lower() low_word = word.lower()
@ -123,8 +123,8 @@ if __name__ == "__main__":
# Update redis # Update redis
curr_word_value = int(server_term.hincrby(timestamp, low_word, int(score))) curr_word_value = int(server_term.hincrby(timestamp, low_word, int(score)))
if low_word not in server.smembers(BlackListTermsSet_Name): if low_word not in server_term.smembers(BlackListTermsSet_Name):
server.zincrby(top_termFreq_setName_day[0], int(score), low_word) server_term.zincrby(curr_set, low_word, float(score))
#Add more info for tracked terms #Add more info for tracked terms
check_if_tracked_term(low_word, filename) check_if_tracked_term(low_word, filename)

8
bin/Curve_manage_top_sets.py
View file

@ -52,11 +52,10 @@ def manage_top_set():
# Retreive top data (2*max_card) from days sets # Retreive top data (2*max_card) from days sets
for timestamp in range(startDate, startDate - top_termFreq_setName_month[1]*oneDay, -oneDay): for timestamp in range(startDate, startDate - top_termFreq_setName_month[1]*oneDay, -oneDay):
curr_set = top_termFreq_setName_day[0] + str(timestamp) curr_set = top_termFreq_setName_day[0] + str(timestamp)
print top_termFreq_setName_day[0] array_top_day = server_term.zrevrangebyscore(curr_set, '+inf', '-inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
array_top_day = server_term.zrangebyscore(curr_set, '-inf', '+inf', withscores=True, start=0, num=top_term_freq_max_set_cardinality*2)
print array_top_day
for word, value in array_top_day: for word, value in array_top_day:
if word not in server_term.smembers(BlackListTermsSet_Name):
if word in dico.keys(): if word in dico.keys():
dico[word] += value dico[word] += value
else: else:
@ -78,9 +77,6 @@ def manage_top_set():
array_week.sort(key=lambda tup: -tup[1]) array_week.sort(key=lambda tup: -tup[1])
array_week = array_week[0:20] array_week = array_week[0:20]
print array_month
print array_week
# suppress every terms in top sets # suppress every terms in top sets
for curr_set, curr_num_day in top_termFreq_set_array[1:3]: for curr_set, curr_num_day in top_termFreq_set_array[1:3]:
for w in server_term.zrange(curr_set, 0, -1): for w in server_term.zrange(curr_set, 0, -1):

2
var/www/Flask_server.py
View file

@ -760,7 +760,7 @@ def terms_plot_top_data():
if the_set == "TopTermFreq_set_day": if the_set == "TopTermFreq_set_day":
the_set += "_" + str(today_timestamp) the_set += "_" + str(today_timestamp)
for term, tot_value in r_serv_term.zrangebyscore(the_set, '-inf', '+inf', withscores=True, start=0, num=20): for term, tot_value in r_serv_term.zrevrangebyscore(the_set, '+inf', '-inf', withscores=True, start=0, num=20):
value_range = [] value_range = []
for timestamp in range(today_timestamp, today_timestamp - num_day*oneDay, -oneDay): for timestamp in range(today_timestamp, today_timestamp - num_day*oneDay, -oneDay):
value = r_serv_term.hget(timestamp, term) value = r_serv_term.hget(timestamp, term)