mirror of https://github.com/CIRCL/AIL-framework
- Modified redis connection (from levelDB to redis).
- Added term frequency in curve. - Modified ModuleStats and WebStats to use redis special command (incrby instead of get-set and zset) and Flask to perform the correct queries. - Added panel color in sentiment trendingpull/68/head
Mokaddem
parent
902b7e39f4
commit
52b7124a6b
67
bin/Curve.py
67
bin/Curve.py
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@ -28,9 +28,24 @@ from pubsublogger import publisher
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from packages import lib_words
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import os
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import datetime
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import calendar
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from Helper import Process
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# Config Variables
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top_term_freq_max_set_cardinality = 50 # Max cardinality of the terms frequences set
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def getValueOverRange(word, startDate, num_day):
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oneDay = 60*60*24
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to_return = 0
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for timestamp in range(startDate, startDate - num_day*oneDay, -oneDay):
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value = server_term.hget(timestamp, word)
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to_return += int(value) if value is not None else 0
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return to_return
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if __name__ == "__main__":
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publisher.port = 6380
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publisher.channel = "Script"
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@ -44,6 +59,11 @@ if __name__ == "__main__":
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port=p.config.get("Redis_Level_DB_Curve", "port"),
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db=p.config.get("Redis_Level_DB_Curve", "db"))
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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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# FUNCTIONS #
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publisher.info("Script Curve started")
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@ -56,6 +76,7 @@ if __name__ == "__main__":
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message = p.get_from_set()
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prec_filename = None
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generate_new_graph = False
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iii = 0
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while True:
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if message is not None:
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generate_new_graph = True
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@ -65,11 +86,49 @@ if __name__ == "__main__":
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date = temp[-4] + temp[-3] + temp[-2]
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low_word = word.lower()
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prev_score = r_serv1.hget(low_word, date)
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if prev_score is not None:
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r_serv1.hset(low_word, date, int(prev_score) + int(score))
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r_serv1.hincrby(low_word, date, int(score))
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# Term Frequency
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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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timestamp = calendar.timegm((int(temp[-4]), int(temp[-3]), int(temp[-2]), 0, 0, 0))
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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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# print '+----------------------------------------------------------------'
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# Manage Top set
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for curr_set, curr_num_day in top_termFreq_set_array:
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if server_term.scard(curr_set) < top_term_freq_max_set_cardinality:
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server_term.sadd(curr_set, low_word)
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elif server_term.sismember(curr_set, low_word):
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continue
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else:
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top_termFreq = server_term.smembers(curr_set)
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sorted_top_termFreq_set = []
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for word in top_termFreq:
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word_value = getValueOverRange(word, timestamp, curr_num_day)
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sorted_top_termFreq_set.append((word, word_value))
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sorted_top_termFreq_set.sort(key=lambda tup: tup[1])
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# if curr_num_day == 1:
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# print sorted_top_termFreq_set
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curr_word_value = getValueOverRange(low_word, timestamp, curr_num_day)
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if curr_word_value > int(sorted_top_termFreq_set[0][1]):
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print str(curr_num_day)+':', low_word, curr_word_value, '\t', sorted_top_termFreq_set[0][0], sorted_top_termFreq_set[0][1], '\t', curr_word_value > sorted_top_termFreq_set[0][1]
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#print sorted_top_termFreq_set
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server_term.srem(curr_set, sorted_top_termFreq_set[0][0])
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server_term.sadd(curr_set, low_word)
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if iii == 2:
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iii-=1
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else:
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r_serv1.hset(low_word, date, score)
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iii+=1
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else:
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if generate_new_graph:
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@ -58,6 +58,10 @@ function launching_redis {
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screen -S "Redis" -X screen -t "6380" bash -c 'redis-server '$conf_dir'6380.conf ; read x'
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sleep 0.1
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screen -S "Redis" -X screen -t "6381" bash -c 'redis-server '$conf_dir'6381.conf ; read x'
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# For Words and curves
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sleep 0.1
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screen -S "Redis" -X screen -t "6382" bash -c 'redis-server '$conf_dir'6382.conf ; read x'
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}
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function launching_lvldb {
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@ -30,14 +30,10 @@ def get_date_range(num_day):
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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'
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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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prev_score = server.hget(paste_date, module+'-'+keyword)
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if prev_score is not None:
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ok = server.hset(paste_date, module+'-'+keyword, int(prev_score) + int(num))
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else:
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ok = server.hset(paste_date, module+'-'+keyword, int(num))
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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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@ -47,44 +43,64 @@ def compute_most_posted(server, message):
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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 keyword in server.smembers(redis_progression_name_set): # if it is already in the set
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return
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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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if (server.scard(redis_progression_name_set) < max_set_cardinality):
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server.sadd(redis_progression_name_set, 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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else: #not in the set
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#Check value for all members
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member_set = []
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for keyw in server.smembers(redis_progression_name_set):
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keyw_value = server.hget(paste_date, module+'-'+keyw)
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if keyw_value is not None:
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member_set.append((keyw, int(keyw_value)))
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else: #No data for this set for today
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member_set.append((keyw, int(0)))
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member_set.sort(key=lambda tup: tup[1])
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if len(member_set) > 0:
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if 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.srem(redis_progression_name_set, member_set[0][0])
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server.sadd(redis_progression_name_set, keyword)
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# if keyword in server.smembers(redis_progression_name_set): # if it is already in the set
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# return
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#
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# if (server.scard(redis_progression_name_set) < max_set_cardinality):
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# server.sadd(redis_progression_name_set, keyword)
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# else: #not in the set
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# #Check value for all members
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# member_set = []
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# for keyw in server.smembers(redis_progression_name_set):
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# keyw_value = server.hget(paste_date, module+'-'+keyw)
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# if keyw_value is not None:
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# member_set.append((keyw, int(keyw_value)))
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# else: #No data for this set for today
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# member_set.append((keyw, int(0)))
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# member_set.sort(key=lambda tup: tup[1])
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# if len(member_set) > 0:
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# if 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.srem(redis_progression_name_set, member_set[0][0])
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# server.sadd(redis_progression_name_set, keyword)
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def compute_provider_info(server, path):
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redis_all_provider = 'all_provider_set'
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redis_avg_size_name_set = 'top_size_set'
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redis_providers_name_set = 'providers_set'
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paste = Paste.Paste(path)
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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 = paste._get_p_date()
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new_avg = paste_size
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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.sadd(redis_all_provider, paste_provider)
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num_paste = int(server.hincrby(paste_provider+'_num', paste_date, 1))
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sum_size = float(server.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.hset(paste_provider +'_avg', paste_date, new_avg)
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'''
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prev_num_paste = server.hget(paste_provider+'_num', paste_date)
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if prev_num_paste is not None:
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ok = server.hset(paste_provider+'_num', paste_date, int(prev_num_paste)+1)
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else:
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ok = server.hset(paste_provider+'_num', paste_date, 1)
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prev_num_paste = 0
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'''
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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.zcard(redis_sum_size_set) < max_set_cardinality or server.zscore(redis_sum_size_set, paste_provider) != "nil":
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server.zadd(redis_sum_size_set, float(num_paste), paste_provider)
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server.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.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.zrem(redis_sum_size_set, member_set[0][0])
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server.zadd(redis_sum_size_set, float(sum_size), paste_provider)
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server.zrem(redis_avg_size_name_set, member_set[0][0])
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server.zadd(redis_avg_size_name_set, float(new_avg), paste_provider)
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'''
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if paste_provider not in server.smembers(redis_avg_size_name_set): # if it is already in the set
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if (server.scard(redis_avg_size_name_set) < max_set_cardinality):
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server.sadd(redis_avg_size_name_set, paste_provider)
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@ -125,8 +157,22 @@ def compute_provider_info(server, path):
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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.srem(redis_avg_size_name_set, member_set[0][0])
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server.sadd(redis_avg_size_name_set, paste_provider)
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'''
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# Num
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# if set not full or provider already present
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if server.zcard(redis_providers_name_set) < max_set_cardinality or server.zscore(redis_providers_name_set, paste_provider) != "nil":
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server.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.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.zrem(member_set[0][0])
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server.zadd(redis_providers_name_set, float(num_paste), paste_provider)
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'''
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if paste_provider not in server.smembers(redis_providers_name_set): # if it is already in the set
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if (server.scard(redis_providers_name_set) < max_set_cardinality):
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server.sadd(redis_providers_name_set, paste_provider)
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@ -146,6 +192,7 @@ def compute_provider_info(server, path):
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print 'Num - adding ' +paste_provider+ '(' +str(int(prev_num_paste)+1)+') in set and removing '+member_set[0][0]+'('+str(member_set[0][1])+')'
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server.srem(redis_providers_name_set, member_set[0][0])
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server.sadd(redis_providers_name_set, paste_provider)
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'''
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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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@ -23,16 +23,11 @@ num_day_to_look = 5 # the detection of the progression start num_day_to_lo
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def analyse(server, field_name, date, url_parsed):
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field = url_parsed[field_name]
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if field is not None:
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prev_score = server.hget(field, date)
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if prev_score is not None:
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server.hset(field, date, int(prev_score) + 1)
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else:
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server.hset(field, date, 1)
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if field_name == "domain": #save domain in a set for the monthly plot
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domain_set_name = "domain_set_" + date[0:6]
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server.sadd(domain_set_name, field)
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print "added in " + domain_set_name +": "+ field
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server.hincrby(field, date, 1)
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if field_name == "domain": #save domain in a set for the monthly plot
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domain_set_name = "domain_set_" + date[0:6]
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server.sadd(domain_set_name, field)
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print "added in " + domain_set_name +": "+ field
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def get_date_range(num_day):
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curr_date = datetime.date.today()
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@ -84,7 +79,7 @@ def compute_progression(server, field_name, num_day, url_parsed):
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member_set.append((keyw, int(server.hget(redis_progression_name, keyw))))
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print member_set
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member_set.sort(key=lambda tup: tup[1])
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if member_set[0] < keyword_increase:
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if member_set[0][1] < keyword_increase:
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#remove min from set and add the new one
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server.srem(redis_progression_name_set, member_set[0])
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server.sadd(redis_progression_name_set, keyword)
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@ -107,11 +102,6 @@ if __name__ == '__main__':
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publisher.info("Makes statistics about valid URL")
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# REDIS #
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r_serv1 = redis.StrictRedis(
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host=p.config.get("Redis_Level_DB", "host"),
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port=p.config.get("Redis_Level_DB", "port"),
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db=p.config.get("Redis_Level_DB", "db"))
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r_serv_trend = redis.StrictRedis(
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host=p.config.get("Redis_Level_DB_Trending", "host"),
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port=p.config.get("Redis_Level_DB_Trending", "port"),
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@ -24,6 +24,7 @@ if __name__ == "__main__":
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publisher.channel = "Script"
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config_section = ['Global', 'Duplicates', 'Indexer', 'Attributes', 'Lines', 'DomClassifier', 'Tokenize', 'Curve', 'Categ', 'CreditCards', 'Mail', 'Onion', 'DumpValidOnion', 'Web', 'WebStats', 'Release', 'Credential', 'Cve', 'Phone', 'SourceCode', 'Keys']
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config_section = ['Curve']
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for queue in config_section:
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print 'dropping: ' + queue
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@ -188,23 +188,31 @@ def get_date_range(num_day):
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# Iterate over elements in the module provided and return the today data or the last data
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# return format: [('passed_days', num_of_passed_days), ('elem_name1', elem_value1), ('elem_name2', elem_value2)]]
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def get_top_relevant_data(server, module_name):
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redis_progression_name_set = 'top_'+ module_name +'_set'
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days = 0
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for date in get_date_range(15):
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member_set = []
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for keyw in server.smembers(redis_progression_name_set):
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redis_progression_name = module_name+'-'+keyw
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keyw_value = server.hget(date ,redis_progression_name)
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keyw_value = keyw_value if keyw_value is not None else 0
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member_set.append((keyw, int(keyw_value)))
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member_set.sort(key=lambda tup: tup[1], reverse=True)
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if member_set[0][1] == 0: #No data for this date
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redis_progression_name_set = 'top_'+ module_name +'_set_' + date
|
||||
member_set = server.zrevrangebyscore(redis_progression_name_set, '+inf', '-inf', withscores=True)
|
||||
#print member_set
|
||||
if len(member_set) == 0: #No data for this date
|
||||
days += 1
|
||||
continue
|
||||
else:
|
||||
member_set.insert(0, ("passed_days", days))
|
||||
return member_set
|
||||
|
||||
# member_set = []
|
||||
# for keyw in server.smembers(redis_progression_name_set):
|
||||
# redis_progression_name = module_name+'-'+keyw
|
||||
# keyw_value = server.hget(date ,redis_progression_name)
|
||||
# keyw_value = keyw_value if keyw_value is not None else 0
|
||||
# member_set.append((keyw, int(keyw_value)))
|
||||
# member_set.sort(key=lambda tup: tup[1], reverse=True)
|
||||
# if member_set[0][1] == 0: #No data for this date
|
||||
# days += 1
|
||||
# continue
|
||||
# else:
|
||||
# member_set.insert(0, ("passed_days", days))
|
||||
# return member_set
|
||||
|
||||
# ========= CACHE CONTROL ========
|
||||
@app.after_request
|
||||
def add_header(response):
|
||||
|
|
@ -300,10 +308,12 @@ def providersChart():
|
|||
for date in date_range:
|
||||
curr_value_size = r_serv_charts.hget(keyword_name+'_'+'size', date)
|
||||
curr_value_num = r_serv_charts.hget(keyword_name+'_'+'num', date)
|
||||
curr_value_size_avg = r_serv_charts.hget(keyword_name+'_'+'avg', date)
|
||||
if module_name == "size":
|
||||
curr_value_num = curr_value_num if curr_value_num is not None else 0
|
||||
curr_value_num = curr_value_num if int(curr_value_num) != 0 else 10000000000
|
||||
curr_value = float(curr_value_size if curr_value_size is not None else 0.0) / float(curr_value_num)
|
||||
curr_value = float(curr_value_size_avg if curr_value_size_avg is not None else 0)
|
||||
#curr_value_num = curr_value_num if curr_value_num is not None else 0
|
||||
#curr_value_num = curr_value_num if int(curr_value_num) != 0 else 10000000000
|
||||
#curr_value = float(curr_value_size if curr_value_size is not None else 0.0) / float(curr_value_num)
|
||||
else:
|
||||
curr_value = float(curr_value_num if curr_value_num is not None else 0.0)
|
||||
|
||||
|
|
@ -312,8 +322,18 @@ def providersChart():
|
|||
return jsonify(bar_values)
|
||||
|
||||
else:
|
||||
redis_provider_name_set = 'top_size_set' if module_name == "size" else 'providers_set'
|
||||
#redis_provider_name_set = 'top_size_set' if module_name == "size" else 'providers_set'
|
||||
redis_provider_name_set = 'top_avg_size_set_' if module_name == "size" else 'providers_set_'
|
||||
redis_provider_name_set = redis_provider_name_set + get_date_range(0)[0]
|
||||
|
||||
member_set = r_serv_charts.zrangebyscore(redis_provider_name_set, '-inf', '+inf', withscores=True, start=0, num=8)
|
||||
# Member set is a list of (value, score) pairs
|
||||
if len(member_set) == 0:
|
||||
member_set.append(("No relevant data", float(100)))
|
||||
return jsonify(member_set)
|
||||
|
||||
|
||||
'''
|
||||
# Iterate over element in top_x_set and retreive their value
|
||||
member_set = []
|
||||
for keyw in r_serv_charts.smembers(redis_provider_name_set):
|
||||
|
|
@ -339,7 +359,7 @@ def providersChart():
|
|||
if len(member_set) == 0:
|
||||
member_set.append(("No relevant data", float(100)))
|
||||
return jsonify(member_set)
|
||||
|
||||
'''
|
||||
|
||||
|
||||
@app.route("/search", methods=['POST'])
|
||||
|
|
@ -465,18 +485,18 @@ def sentiment_analysis_getplotdata():
|
|||
dateStart_timestamp = calendar.timegm(dateStart.timetuple())
|
||||
|
||||
to_return = {}
|
||||
for cur_provider in r_serv_charts.smembers('providers_set'):
|
||||
cur_provider_name = cur_provider + '_'
|
||||
list_date = {}
|
||||
for cur_timestamp in range(int(dateStart_timestamp), int(dateStart_timestamp)-sevenDays-oneHour, -oneHour):
|
||||
cur_set_name = cur_provider_name + str(cur_timestamp)
|
||||
for cur_provider in r_serv_charts.zrangebyscore('providers_set_'+ get_date_range(0)[0], '-inf', '+inf', start=0, num=8):
|
||||
cur_provider_name = cur_provider + '_'
|
||||
list_date = {}
|
||||
for cur_timestamp in range(int(dateStart_timestamp), int(dateStart_timestamp)-sevenDays-oneHour, -oneHour):
|
||||
cur_set_name = cur_provider_name + str(cur_timestamp)
|
||||
|
||||
list_value = []
|
||||
for cur_id in r_serv_sentiment.smembers(cur_set_name):
|
||||
cur_value = r_serv_sentiment.get(cur_id)
|
||||
list_value.append(cur_value)
|
||||
list_date[cur_timestamp] = list_value
|
||||
to_return[cur_provider] = list_date
|
||||
list_value = []
|
||||
for cur_id in r_serv_sentiment.smembers(cur_set_name):
|
||||
cur_value = r_serv_sentiment.get(cur_id)
|
||||
list_value.append(cur_value)
|
||||
list_date[cur_timestamp] = list_value
|
||||
to_return[cur_provider] = list_date
|
||||
|
||||
return jsonify(to_return)
|
||||
|
||||
|
|
@ -532,6 +552,37 @@ def sentiment_analysis_plot_tool_getdata():
|
|||
return jsonify(to_return)
|
||||
|
||||
|
||||
@app.route("/test/") #completely shows the paste in a new tab
|
||||
def test():
|
||||
|
||||
server = redis.StrictRedis(
|
||||
host=cfg.get("Redis_Level_DB_TermFreq", "host"),
|
||||
port=cfg.getint("Redis_Level_DB_TermFreq", "port"),
|
||||
db=cfg.getint("Redis_Level_DB_TermFreq", "db"))
|
||||
|
||||
array1 = []
|
||||
for w in server.smembers('TopTermFreq_set_day'):
|
||||
val = server.hget('1471478400', w)
|
||||
val = val if val is not None else 0
|
||||
val2 = server.hget('1471392000', w)
|
||||
val2 = val2 if val2 is not None else 0
|
||||
array1.append((w, (int(val), int(val2))))
|
||||
|
||||
# array2 = []
|
||||
# for w in server.smembers('TopTermFreq_set_week'):
|
||||
# array2.append((w, int(server.hget('1471478400', w))))
|
||||
|
||||
array1.sort(key=lambda tup: tup[1][0]+tup[1][1])
|
||||
stri = "<h1> day </h1>"
|
||||
for e in array1:
|
||||
stri += "<p>"+ e[0] + "\t" + str(e[1]) +"</p>"
|
||||
# stri += "<h1> week </h1>"
|
||||
# for e in array2:
|
||||
# stri += "<p>"+ e[0] + "\t" + str(e[1]) +"</p>"
|
||||
|
||||
return stri
|
||||
|
||||
|
||||
|
||||
@app.route("/showsavedpaste/") #completely shows the paste in a new tab
|
||||
def showsavedpaste():
|
||||
|
|
|
|||
|
|
@ -42,7 +42,7 @@
|
|||
|
||||
$.getJSON("/sentiment_analysis_getplotdata/",
|
||||
function(data) {
|
||||
//console.log(data);
|
||||
console.log(data);
|
||||
var all_data = [];
|
||||
var plot_data = [];
|
||||
var graph_avg = [];
|
||||
|
|
@ -136,7 +136,8 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
var placeholder = '.sparkLineStatsWeek' + num;
|
||||
$(placeholder).sparkline(plot_data[graphNum], sparklineOptions);
|
||||
$(placeholder+'t').text(curr_provider);
|
||||
$(placeholder+'s').text(curr_avg.toFixed(5));
|
||||
var curr_avg_text = isNaN(curr_avg) ? "No data" : curr_avg.toFixed(5);
|
||||
$(placeholder+'s').text(curr_avg_text);
|
||||
|
||||
sparklineOptions.barWidth = 18;
|
||||
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> Avg: {{value}} </span>'
|
||||
|
|
@ -144,11 +145,23 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> {{offset:names}}, {{value}} </span>'
|
||||
sparklineOptions.barWidth = 2;
|
||||
|
||||
|
||||
sparklineOptions.tooltipValueLookups = { names: offset_to_time};
|
||||
sparklineOptions.chartRangeMax = max_value_day;
|
||||
sparklineOptions.chartRangeMin = -max_value_day;
|
||||
|
||||
var avgName = ".pannelWeek" + num;
|
||||
if (curr_avg > 0) {
|
||||
$(avgName).addClass("panel-success")
|
||||
} else if(curr_avg < 0) {
|
||||
$(avgName).addClass("panel-danger")
|
||||
} else if(isNaN(curr_avg)) {
|
||||
$(avgName).addClass("panel-info")
|
||||
} else {
|
||||
$(avgName).addClass("panel-warning")
|
||||
}
|
||||
|
||||
|
||||
|
||||
// print today
|
||||
var data_length = plot_data[graphNum].length;
|
||||
var data_today = plot_data[graphNum].slice(data_length-24, data_length);
|
||||
|
|
@ -170,6 +183,17 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
sparklineOptions.barWidth = 2;
|
||||
$(placeholder+'s').text(day_avg_text);
|
||||
|
||||
avgName = ".pannelToday" + num;
|
||||
if (day_avg > 0) {
|
||||
$(avgName).addClass("panel-success")
|
||||
} else if(day_avg < 0) {
|
||||
$(avgName).addClass("panel-danger")
|
||||
} else if(isNaN(day_sum/day_sum_elem)) {
|
||||
$(avgName).addClass("panel-info")
|
||||
} else {
|
||||
$(avgName).addClass("panel-warning")
|
||||
}
|
||||
|
||||
}//for loop
|
||||
|
||||
|
||||
|
|
@ -338,6 +362,7 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
chart_canvas2.render();
|
||||
|
||||
|
||||
|
||||
}
|
||||
);
|
||||
|
||||
|
|
|
|||
|
|
@ -18,6 +18,17 @@
|
|||
<script src="{{ url_for('static', filename='js/jquery.canvasjs.min.js') }}"></script>
|
||||
|
||||
<style>
|
||||
|
||||
.moodtable_worst {
|
||||
background: rgba(255, 0, 0, 0.47);
|
||||
font-size: unset;
|
||||
}
|
||||
|
||||
.moodtable_best {
|
||||
background: rgba(132, 255, 0, 0.5);
|
||||
font-size: unset;
|
||||
}
|
||||
|
||||
.jqstooltip{
|
||||
box-sizing: content-box;
|
||||
}
|
||||
|
|
@ -118,7 +129,7 @@
|
|||
<!-- providers charts -->
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday1">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday1t">Graph 1</strong>
|
||||
<strong class="sparkLineStatsToday1s pull-right">Avg</strong>
|
||||
|
|
@ -134,7 +145,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday2">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday2t">Graph 2</strong>
|
||||
<strong class="sparkLineStatsToday2s pull-right">Avg</strong>
|
||||
|
|
@ -150,7 +161,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday3">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday3t">Graph 3</strong>
|
||||
<strong class="sparkLineStatsToday3s pull-right">Avg</strong>
|
||||
|
|
@ -166,7 +177,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday4">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday4t">Graph 4</strong>
|
||||
<strong class="sparkLineStatsToday4s pull-right">Avg</strong>
|
||||
|
|
@ -186,7 +197,7 @@
|
|||
</div>
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday5">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday5t">Graph 5</strong>
|
||||
<strong class="sparkLineStatsToday5s pull-right">Avg</strong>
|
||||
|
|
@ -202,7 +213,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday6">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday6t">Graph 6</strong>
|
||||
<strong class="sparkLineStatsToday6s pull-right">Avg</strong>
|
||||
|
|
@ -218,7 +229,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday7">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday7t">Graph 7</strong>
|
||||
<strong class="sparkLineStatsToday7s pull-right">Avg</strong>
|
||||
|
|
@ -234,7 +245,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-today" class="panel panel-default">
|
||||
<div id="panel-today" class="panel panel-default pannelToday8">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsToday8t">Graph 8</strong>
|
||||
<strong class="sparkLineStatsToday8s pull-right">Avg</strong>
|
||||
|
|
@ -294,7 +305,7 @@
|
|||
<!-- providers charts -->
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek1">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek1t">Graph 1</strong>
|
||||
<strong class="sparkLineStatsWeek1s pull-right">Avg</strong>
|
||||
|
|
@ -310,7 +321,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek2">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek2t">Graph 2</strong>
|
||||
<strong class="sparkLineStatsWeek2s pull-right">Avg</strong>
|
||||
|
|
@ -326,7 +337,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek3">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek3t">Graph 3</strong>
|
||||
<strong class="sparkLineStatsWeek3s pull-right">Avg</strong>
|
||||
|
|
@ -342,7 +353,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek4">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek4t">Graph 4</strong>
|
||||
<strong class="sparkLineStatsWeek4s pull-right">Avg</strong>
|
||||
|
|
@ -362,7 +373,7 @@
|
|||
</div>
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek5">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek5t">Graph 5</strong>
|
||||
<strong class="sparkLineStatsWeek5s pull-right">Avg</strong>
|
||||
|
|
@ -378,7 +389,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek6">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek6t">Graph 6</strong>
|
||||
<strong class="sparkLineStatsWeek6s pull-right">Avg</strong>
|
||||
|
|
@ -394,7 +405,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek7">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek7t">Graph 7</strong>
|
||||
<strong class="sparkLineStatsWeek7s pull-right">Avg</strong>
|
||||
|
|
@ -410,7 +421,7 @@
|
|||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="panel-week" class="panel panel-default">
|
||||
<div id="panel-week" class="panel panel-default pannelWeek8">
|
||||
<div class="panel-heading">
|
||||
<strong class="sparkLineStatsWeek8t">Graph 8</strong>
|
||||
<strong class="sparkLineStatsWeek8s pull-right">Avg</strong>
|
||||
|
|
@ -445,24 +456,24 @@
|
|||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td class="worst1">worst1</td>
|
||||
<td class="best1">best1</td>
|
||||
<td class="worst1 moodtable_worst">worst1</td>
|
||||
<td class="best1 moodtable_best">best1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="worst2">worst2</td>
|
||||
<td class="best2">best2</td>
|
||||
<td class="worst2 moodtable_worst">worst2</td>
|
||||
<td class="best2 moodtable_best">best2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="worst3">worst3</td>
|
||||
<td class="best3">best3</td>
|
||||
<td class="worst3 moodtable_worst">worst3</td>
|
||||
<td class="best3 moodtable_best">best3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="worst4">worst4</td>
|
||||
<td class="best4">best4</td>
|
||||
<td class="worst4 moodtable_worst">worst4</td>
|
||||
<td class="best4 moodtable_best">best4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="worst5">worst5</td>
|
||||
<td class="best5">best5</td>
|
||||
<td class="worst5 moodtable_worst">worst5</td>
|
||||
<td class="best5 moodtable_best">best5</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
|
@ -497,6 +508,7 @@
|
|||
$("#"+activePage).addClass("active");
|
||||
$('[data-toggle="tooltip"]').tooltip();
|
||||
|
||||
|
||||
// Reload every 30min
|
||||
setTimeout(function(){ location.reload(); }, 30*60*1000);
|
||||
});
|
||||
|
|
|
|||
Loading…
Reference in New Issue