mirror of
https://github.com/ail-project/ail-framework.git
synced 2024-11-10 08:38:28 +00:00
Raphaël Vinot
GitHub
commit
80df994152
12 changed files with 465 additions and 626 deletions
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@ -108,6 +108,7 @@ class Process(object):
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self.modules = ConfigParser.ConfigParser()
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self.modules.read(modulesfile)
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self.subscriber_name = conf_section
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self.pubsub = None
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if self.modules.has_section(conf_section):
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self.pubsub = PubSub()
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@ -118,6 +119,15 @@ class Process(object):
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port=self.config.get('RedisPubSub', 'port'),
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db=self.config.get('RedisPubSub', 'db'))
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self.moduleNum = 1
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for i in range(1, 50):
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curr_num = self.r_temp.get("MODULE_"+self.subscriber_name + "_" + str(i))
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if curr_num is None:
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self.moduleNum = i
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break
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def populate_set_in(self):
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# monoproc
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src = self.modules.get(self.subscriber_name, 'subscribe')
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@ -142,15 +152,18 @@ class Process(object):
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else:
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try:
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path = message.split(".")[-2].split("/")[-1]
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if ".gz" in message:
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path = message.split(".")[-2].split("/")[-1]
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else:
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path = "?"
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value = str(timestamp) + ", " + path
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self.r_temp.set("MODULE_"+self.subscriber_name, value)
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self.r_temp.set("MODULE_"+self.subscriber_name + "_" + str(self.moduleNum), value)
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return message
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except:
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path = "?"
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value = str(timestamp) + ", " + path
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self.r_temp.set("MODULE_"+self.subscriber_name, value)
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self.r_temp.set("MODULE_"+self.subscriber_name + "_" + str(self.moduleNum), value)
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return message
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def populate_set_out(self, msg, channel=None):
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@ -112,6 +112,8 @@ function launching_scripts {
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echo -e $GREEN"\t* Launching ZMQ scripts"$DEFAULT
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screen -S "Script" -X screen -t "ModuleInformation" bash -c './ModuleInformation.py -k 0 -c 1; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "Global" bash -c './Global.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "Duplicates" bash -c './Duplicates.py; read x'
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@ -159,8 +161,6 @@ function launching_scripts {
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screen -S "Script" -X screen -t "Browse_warning_paste" bash -c './Browse_warning_paste.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "SentimentAnalysis" bash -c './SentimentAnalysis.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "ModuleInformation" bash -c './ModuleInformation.py -k 0; read x'
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}
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@ -1,6 +1,18 @@
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#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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'''
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This module can be use to see information of running modules.
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These information are logged in "logs/moduleInfo.log"
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It can also try to manage them by killing inactive one.
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However, it does not support mutliple occurence of the same module
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(It will kill the first one obtained by get)
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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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@ -29,6 +41,9 @@ def getPid(module):
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else:
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return None
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def clearRedisModuleInfo():
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for k in server.keys("MODULE_*"):
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server.delete(k)
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def kill_module(module):
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print ''
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@ -62,6 +77,7 @@ if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Show info concerning running modules and log suspected stucked modules. May be use to automatically kill and restart stucked one.')
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parser.add_argument('-r', '--refresh', type=int, required=False, default=1, help='Refresh rate')
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parser.add_argument('-k', '--autokill', type=int, required=True, default=1, help='Enable auto kill option (1 for TRUE, anything else for FALSE)')
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parser.add_argument('-c', '--clear', type=int, required=False, default=1, help='Clear the current module information (Used to clear data from old launched modules)')
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args = parser.parse_args()
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@ -80,76 +96,103 @@ if __name__ == "__main__":
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port=cfg.getint("Redis_Queues", "port"),
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db=cfg.getint("Redis_Queues", "db"))
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while True:
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num = 0
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printarray1 = []
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printarray2 = []
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for queue, card in server.hgetall("queues").iteritems():
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key = "MODULE_" + queue
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value = server.get(key)
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if value is not None:
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timestamp, path = value.split(", ")
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if timestamp is not None and path is not None:
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num += 1
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startTime_readable = datetime.datetime.fromtimestamp(int(timestamp))
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processed_time_readable = str((datetime.datetime.now() - startTime_readable)).split('.')[0]
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if int(card) > 0:
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if int((datetime.datetime.now() - startTime_readable).total_seconds()) > threshold_stucked_module:
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log = open(log_filename, 'a')
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log.write(json.dumps([queue, card, str(startTime_readable), str(processed_time_readable), path]) + "\n")
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if args.autokill == 1:
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kill_module(queue)
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printarray1.append([str(num), str(queue), str(card), str(startTime_readable), str(processed_time_readable), str(path)])
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else:
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printarray2.append([str(num), str(queue), str(card), str(startTime_readable), str(processed_time_readable), str(path)])
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printarray1.sort(lambda x,y: cmp(x[4], y[4]), reverse=True)
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printarray2.sort(lambda x,y: cmp(x[4], y[4]), reverse=True)
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printarray1.insert(0,["#", "Queue", "Amount", "Paste start time", "Processing time for current paste (H:M:S)", "Paste hash"])
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printarray2.insert(0,["#", "Queue", "Amount", "Paste start time", "Time since idle (H:M:S)", "Last paste hash"])
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os.system('clear')
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t1 = AsciiTable(printarray1, title="Working queues")
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t1.column_max_width(1)
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if not t1.ok:
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longest_col = t1.column_widths.index(max(t1.column_widths))
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max_length_col = t1.column_max_width(longest_col)
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if max_length_col > 0:
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for i, content in enumerate(t1.table_data):
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if len(content[longest_col]) > max_length_col:
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temp = ''
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for l in content[longest_col].splitlines():
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if len(l) > max_length_col:
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temp += '\n'.join(textwrap.wrap(l, max_length_col)) + '\n'
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else:
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temp += l + '\n'
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content[longest_col] = temp.strip()
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t1.table_data[i] = content
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t2 = AsciiTable(printarray2, title="Idling queues")
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t2.column_max_width(1)
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if not t2.ok:
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longest_col = t2.column_widths.index(max(t2.column_widths))
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max_length_col = t2.column_max_width(longest_col)
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if max_length_col > 0:
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for i, content in enumerate(t2.table_data):
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if len(content[longest_col]) > max_length_col:
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temp = ''
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for l in content[longest_col].splitlines():
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if len(l) > max_length_col:
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temp += '\n'.join(textwrap.wrap(l, max_length_col)) + '\n'
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else:
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temp += l + '\n'
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content[longest_col] = temp.strip()
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t2.table_data[i] = content
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if args.clear == 1:
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clearRedisModuleInfo()
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print t1.table
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print '\n'
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print t2.table
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module_file_array = set()
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with open('../doc/all_modules.txt', 'r') as module_file:
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for line in module_file:
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module_file_array.add(line[:-1])
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time.sleep(args.refresh)
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while True:
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all_queue = set()
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curr_range = 50
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printarray1 = []
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printarray2 = []
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printarray3 = []
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for queue, card in server.hgetall("queues").iteritems():
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all_queue.add(queue)
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key = "MODULE_" + queue + "_"
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for i in range(1, 50):
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curr_num = server.get("MODULE_"+ queue + "_" + str(i))
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if curr_num is None:
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curr_range = i
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break
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for moduleNum in range(1, curr_range):
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value = server.get(key + str(moduleNum))
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if value is not None:
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timestamp, path = value.split(", ")
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if timestamp is not None and path is not None:
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startTime_readable = datetime.datetime.fromtimestamp(int(timestamp))
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processed_time_readable = str((datetime.datetime.now() - startTime_readable)).split('.')[0]
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if int(card) > 0:
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if int((datetime.datetime.now() - startTime_readable).total_seconds()) > threshold_stucked_module:
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log = open(log_filename, 'a')
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log.write(json.dumps([queue, card, str(startTime_readable), str(processed_time_readable), path]) + "\n")
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if args.autokill == 1:
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kill_module(queue)
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printarray1.append([str(queue), str(moduleNum), str(card), str(startTime_readable), str(processed_time_readable), str(path)])
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else:
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printarray2.append([str(queue), str(moduleNum), str(card), str(startTime_readable), str(processed_time_readable), str(path)])
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for curr_queue in module_file_array:
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if curr_queue not in all_queue:
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printarray3.append([curr_queue, "Not running"])
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printarray1.sort(lambda x,y: cmp(x[4], y[4]), reverse=True)
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printarray2.sort(lambda x,y: cmp(x[4], y[4]), reverse=True)
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printarray1.insert(0,["Queue", "#", "Amount", "Paste start time", "Processing time for current paste (H:M:S)", "Paste hash"])
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printarray2.insert(0,["Queue", "#","Amount", "Paste start time", "Time since idle (H:M:S)", "Last paste hash"])
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printarray3.insert(0,["Queue", "State"])
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os.system('clear')
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t1 = AsciiTable(printarray1, title="Working queues")
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t1.column_max_width(1)
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if not t1.ok:
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longest_col = t1.column_widths.index(max(t1.column_widths))
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max_length_col = t1.column_max_width(longest_col)
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if max_length_col > 0:
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for i, content in enumerate(t1.table_data):
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if len(content[longest_col]) > max_length_col:
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temp = ''
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for l in content[longest_col].splitlines():
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if len(l) > max_length_col:
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temp += '\n'.join(textwrap.wrap(l, max_length_col)) + '\n'
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else:
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temp += l + '\n'
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content[longest_col] = temp.strip()
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t1.table_data[i] = content
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t2 = AsciiTable(printarray2, title="Idling queues")
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t2.column_max_width(1)
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if not t2.ok:
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longest_col = t2.column_widths.index(max(t2.column_widths))
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max_length_col = t2.column_max_width(longest_col)
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if max_length_col > 0:
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for i, content in enumerate(t2.table_data):
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if len(content[longest_col]) > max_length_col:
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temp = ''
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for l in content[longest_col].splitlines():
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if len(l) > max_length_col:
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temp += '\n'.join(textwrap.wrap(l, max_length_col)) + '\n'
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else:
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temp += l + '\n'
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content[longest_col] = temp.strip()
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t2.table_data[i] = content
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t3 = AsciiTable(printarray3, title="Not running queues")
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t3.column_max_width(1)
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print t1.table
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print '\n'
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print t2.table
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print '\n'
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print t3.table
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time.sleep(args.refresh)
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@ -66,25 +66,7 @@ def compute_progression(server, field_name, num_day, url_parsed):
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# filter
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if (keyword_total_sum > threshold_total_sum) and (keyword_increase > threshold_increase):
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if server.sismember(redis_progression_name_set, keyword): #if keyword is in the set
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server.hset(redis_progression_name, keyword, keyword_increase) #update its value
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elif (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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member_set.append((keyw, int(server.hget(redis_progression_name, keyw))))
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member_set.sort(key=lambda tup: tup[1])
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if member_set[0][1] < keyword_increase:
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print 'removing', member_set[0][0] + '('+str(member_set[0][1])+')', 'and adding', keyword, str(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][0])
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server.sadd(redis_progression_name_set, keyword)
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server.hdel(redis_progression_name, member_set[0][0])
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server.hset(redis_progression_name, keyword, keyword_increase)
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server.zadd("z_top_progression_"+field_name, float(keyword_increase), keyword)
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if __name__ == '__main__':
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@ -8,6 +8,8 @@ sleep 0.1
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echo -e $GREEN"\t* Launching ZMQ scripts"$DEFAULT
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screen -S "Script" -X screen -t "ModuleInformation" bash -c './ModuleInformation.py -k 0 -c 1; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "Global" bash -c './Global.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "Duplicates" bash -c './Duplicates.py; read x'
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@ -55,5 +57,3 @@ echo -e $GREEN"\t* Launching ZMQ scripts"$DEFAULT
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screen -S "Script" -X screen -t "Browse_warning_paste" bash -c './Browse_warning_paste.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "SentimentAnalysis" bash -c './SentimentAnalysis.py; read x'
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sleep 0.1
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screen -S "Script" -X screen -t "ModuleInformation" bash -c './ModuleInformation.py; read x'
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@ -32,6 +32,9 @@ with open('../bin/packages/modules.cfg', 'r') as f:
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continue
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output_set_graph = set()
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with open('all_modules.txt', 'w') as f2:
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for e in all_modules:
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f2.write(e+"\n")
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for module in modules.keys():
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for stream_in in modules[module]['sub']:
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@ -83,18 +83,27 @@ def get_queues(r):
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# We may want to put the llen in a pipeline to do only one query.
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data = [(queue, int(card)) for queue, card in r.hgetall("queues").iteritems()]
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newData = []
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curr_range = 50
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for queue, card in data:
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key = "MODULE_" + queue
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value = r.get(key)
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if value is not None:
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timestamp, path = value.split(", ")
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if timestamp is not None:
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startTime_readable = datetime.datetime.fromtimestamp(int(timestamp))
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processed_time_readable = str((datetime.datetime.now() - startTime_readable)).split('.')[0]
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seconds = int((datetime.datetime.now() - startTime_readable).total_seconds())
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newData.append( (queue, card, seconds) )
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else:
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newData.append( (queue, cards, 0) )
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key = "MODULE_" + queue + "_"
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for i in range(1, 50):
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curr_num = r.get("MODULE_"+ queue + "_" + str(i))
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if curr_num is None:
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curr_range = i
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break
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for moduleNum in range(1, curr_range):
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value = r.get(key + str(moduleNum))
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if value is not None:
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timestamp, path = value.split(", ")
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if timestamp is not None:
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startTime_readable = datetime.datetime.fromtimestamp(int(timestamp))
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processed_time_readable = str((datetime.datetime.now() - startTime_readable)).split('.')[0]
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seconds = int((datetime.datetime.now() - startTime_readable).total_seconds())
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newData.append( (queue, card, seconds, moduleNum) )
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else:
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newData.append( (queue, cards, 0, moduleNum) )
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return newData
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@ -103,40 +112,6 @@ def list_len(s):
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return len(s)
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app.jinja_env.filters['list_len'] = list_len
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def parseStringToList(the_string):
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strList = ""
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elemList = []
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for c in the_string:
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if c != ']':
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if c != '[' and c !=' ' and c != '"':
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strList += c
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else:
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the_list = strList.split(',')
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if len(the_list) == 3:
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elemList = elemList + the_list
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elif len(the_list) == 2:
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elemList.append(the_list)
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elif len(the_list) > 1:
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elemList.append(the_list[1:])
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strList = ""
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return elemList
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def parseStringToList2(the_string):
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if the_string == []:
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return []
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else:
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res = []
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tab_str = the_string.split('], [')
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tab_str[0] = tab_str[0][1:]+']'
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tab_str[len(tab_str)-1] = '['+tab_str[len(tab_str)-1][:-1]
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res.append(parseStringToList(tab_str[0]))
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for i in range(1, len(tab_str)-2):
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||||
tab_str[i] = '['+tab_str[i]+']'
|
||||
res.append(parseStringToList(tab_str[i]))
|
||||
if len(tab_str) > 1:
|
||||
res.append(parseStringToList(tab_str[len(tab_str)-1]))
|
||||
return res
|
||||
|
||||
|
||||
def showpaste(content_range):
|
||||
requested_path = request.args.get('paste', '')
|
||||
|
|
@ -150,7 +125,7 @@ def showpaste(content_range):
|
|||
p_mime = paste.p_mime
|
||||
p_lineinfo = paste.get_lines_info()
|
||||
p_content = paste.get_p_content().decode('utf-8', 'ignore')
|
||||
p_duplicate_full_list = parseStringToList2(paste._get_p_duplicate())
|
||||
p_duplicate_full_list = json.loads(paste._get_p_duplicate())
|
||||
p_duplicate_list = []
|
||||
p_simil_list = []
|
||||
p_hashtype_list = []
|
||||
|
|
@ -174,7 +149,7 @@ def showpaste(content_range):
|
|||
hash_types = []
|
||||
comp_vals = []
|
||||
for i in indices:
|
||||
hash_types.append(p_duplicate_full_list[i][0])
|
||||
hash_types.append(p_duplicate_full_list[i][0].encode('utf8'))
|
||||
comp_vals.append(p_duplicate_full_list[i][2])
|
||||
dup_list_removed.append(i)
|
||||
|
||||
|
|
@ -281,19 +256,9 @@ def progressionCharts():
|
|||
return jsonify(bar_values)
|
||||
|
||||
else:
|
||||
redis_progression_name = 'top_progression_'+trending_name
|
||||
redis_progression_name_set = 'top_progression_'+trending_name+'_set'
|
||||
|
||||
# Iterate over element in top_x_set and retreive their value
|
||||
member_set = []
|
||||
for keyw in r_serv_charts.smembers(redis_progression_name_set):
|
||||
keyw_value = r_serv_charts.hget(redis_progression_name, keyw)
|
||||
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 len(member_set) == 0:
|
||||
member_set.append(("No relevant data", int(100)))
|
||||
return jsonify(member_set)
|
||||
redis_progression_name = "z_top_progression_" + trending_name
|
||||
keyw_value = r_serv_charts.zrevrangebyscore(redis_progression_name, '+inf', '-inf', withscores=True, start=0, num=10)
|
||||
return jsonify(keyw_value)
|
||||
|
||||
@app.route("/_moduleCharts", methods=['GET'])
|
||||
def modulesCharts():
|
||||
|
|
@ -472,7 +437,7 @@ def sentiment_analysis_trending():
|
|||
return render_template("sentiment_analysis_trending.html")
|
||||
|
||||
|
||||
@app.route("/sentiment_analysis_getplotdata/")
|
||||
@app.route("/sentiment_analysis_getplotdata/", methods=['GET'])
|
||||
def sentiment_analysis_getplotdata():
|
||||
# Get the top providers based on number of pastes
|
||||
oneHour = 60*60
|
||||
|
|
@ -481,19 +446,27 @@ def sentiment_analysis_getplotdata():
|
|||
dateStart = dateStart.replace(minute=0, second=0, microsecond=0)
|
||||
dateStart_timestamp = calendar.timegm(dateStart.timetuple())
|
||||
|
||||
to_return = {}
|
||||
range_providers = r_serv_charts.zrevrangebyscore('providers_set_'+ get_date_range(0)[0], '+inf', '-inf', start=0, num=8)
|
||||
# if empty, get yesterday top providers
|
||||
print 'providers_set_'+ get_date_range(1)[1]
|
||||
range_providers = r_serv_charts.zrevrangebyscore('providers_set_'+ get_date_range(1)[1], '+inf', '-inf', start=0, num=8) if range_providers == [] else range_providers
|
||||
# if still empty, takes from all providers
|
||||
if range_providers == []:
|
||||
print 'today provider empty'
|
||||
range_providers = r_serv_charts.smembers('all_provider_set')
|
||||
getAllProviders = request.args.get('getProviders')
|
||||
provider = request.args.get('provider')
|
||||
allProvider = request.args.get('all')
|
||||
if getAllProviders == 'True':
|
||||
if allProvider == "True":
|
||||
range_providers = r_serv_charts.smembers('all_provider_set')
|
||||
return jsonify(list(range_providers))
|
||||
else:
|
||||
range_providers = r_serv_charts.zrevrangebyscore('providers_set_'+ get_date_range(0)[0], '+inf', '-inf', start=0, num=8)
|
||||
# if empty, get yesterday top providers
|
||||
range_providers = r_serv_charts.zrevrangebyscore('providers_set_'+ get_date_range(1)[1], '+inf', '-inf', start=0, num=8) if range_providers == [] else range_providers
|
||||
# if still empty, takes from all providers
|
||||
if range_providers == []:
|
||||
print 'today provider empty'
|
||||
range_providers = r_serv_charts.smembers('all_provider_set')
|
||||
return jsonify(range_providers)
|
||||
|
||||
for cur_provider in range_providers:
|
||||
print cur_provider
|
||||
cur_provider_name = cur_provider + '_'
|
||||
elif provider is not None:
|
||||
to_return = {}
|
||||
|
||||
cur_provider_name = 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)
|
||||
|
|
@ -503,9 +476,10 @@ def sentiment_analysis_getplotdata():
|
|||
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
|
||||
to_return[provider] = list_date
|
||||
|
||||
return jsonify(to_return)
|
||||
return jsonify(to_return)
|
||||
return "Bad request"
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -223,9 +223,16 @@ function create_queue_table() {
|
|||
var tr = document.createElement('TR')
|
||||
for(j = 0; j < 2; j++){
|
||||
var td = document.createElement('TD')
|
||||
td.appendChild(document.createTextNode(glob_tabvar.row1[i][j]));
|
||||
var moduleNum = j == 0 ? "." + glob_tabvar.row1[i][3] : "";
|
||||
td.appendChild(document.createTextNode(glob_tabvar.row1[i][j] + moduleNum));
|
||||
tr.appendChild(td)
|
||||
}
|
||||
// Used to decide the color of the row
|
||||
// We have glob_tabvar.row1[][j] with:
|
||||
// - j=0: ModuleName
|
||||
// - j=1: queueLength
|
||||
// - j=2: LastProcessedPasteTime
|
||||
// - j=3: Number of the module belonging in the same category
|
||||
if (parseInt(glob_tabvar.row1[i][2]) > 60*2 && parseInt(glob_tabvar.row1[i][1]) > 2)
|
||||
tr.className += " danger";
|
||||
else if (parseInt(glob_tabvar.row1[i][2]) > 60*1)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,42 @@
|
|||
|
||||
/* Functions and config */
|
||||
function add_new_graph_today(id) {
|
||||
return "<div id=\"panel-today\" class=\"panel panel-default pannelToday"+id+"\">" +
|
||||
"<div class=\"panel-heading\">" +
|
||||
"<strong class=\"sparkLineStatsToday"+id+"t\">Graph "+id+"</strong>" +
|
||||
"<strong class=\"sparkLineStatsToday"+id+"s pull-right\">Avg</strong>" +
|
||||
"</div>" +
|
||||
"<div class=\"panel-body panelInside\">" +
|
||||
"<table class=\"table\">" +
|
||||
"<tbody>" +
|
||||
"<tr>" +
|
||||
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsToday"+id+"\"></div></td> " +
|
||||
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsToday"+id+"b\"></div></td> " +
|
||||
"</tr>" +
|
||||
"</tbody>" +
|
||||
"</table>" +
|
||||
"</div>" +
|
||||
"</div>";
|
||||
};
|
||||
function add_new_graph_week(id) {
|
||||
return "<div id=\"panel-week\" class=\"panel panel-default pannelWeek"+id+"\">" +
|
||||
"<div class=\"panel-heading\">" +
|
||||
"<strong class=\"sparkLineStatsWeek"+id+"t\">Graph "+id+"</strong>" +
|
||||
"<strong class=\"sparkLineStatsWeek"+id+"s pull-right\">Avg</strong>" +
|
||||
"</div>" +
|
||||
"<div class=\"panel-body panelInside\">" +
|
||||
"<table class=\"table\">" +
|
||||
"<tbody>" +
|
||||
"<tr>" +
|
||||
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsWeek"+id+"\"></div></td> " +
|
||||
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsWeek"+id+"b\"></div></td> " +
|
||||
"</tr>" +
|
||||
"</tbody>" +
|
||||
"</table>" +
|
||||
"</div>" +
|
||||
"</div>";
|
||||
}
|
||||
|
||||
function generate_offset_to_time(num){
|
||||
var to_ret = {};
|
||||
for(i=0; i<=num; i++) {
|
||||
|
|
@ -45,29 +83,74 @@
|
|||
};
|
||||
|
||||
|
||||
$.getJSON("/sentiment_analysis_getplotdata/",
|
||||
function(data) {
|
||||
var all_data = [];
|
||||
var plot_data = [];
|
||||
var graph_avg = [];
|
||||
var array_provider = Object.keys(data);
|
||||
var dates_providers = Object.keys(data[array_provider[0]]);
|
||||
var dateStart = parseInt(dates_providers[0]);
|
||||
var oneHour = 60*60;
|
||||
var oneWeek = oneHour*24*7;
|
||||
/* Plot and queries */
|
||||
|
||||
var all_graph_day_sum = 0.0;
|
||||
var all_graph_hour_sum = 0.0;
|
||||
var all_graph_hour_maxVal = 0.0;
|
||||
var all_day_avg = 0.0;
|
||||
var all_day_avg_maxVal = 0.0;
|
||||
var all_graph_day_sum = 0.0;
|
||||
var all_graph_hour_sum = 0.0;
|
||||
var all_graph_hour_sum_minus = 0.0;
|
||||
var all_graph_hour_maxVal = 0.0;
|
||||
var all_day_avg = 0.0;
|
||||
var all_day_avg_maxVal = 0.0;
|
||||
var graph_avg = [];
|
||||
var all_data = [];
|
||||
var provider_already_loaded = [];
|
||||
var totNumGraph = 0;
|
||||
|
||||
// Query all providers name then launch the query and plot process for each of them.
|
||||
// When everything is terminated, plot the widgets (Gauge, canvasJS, table)
|
||||
// input: all - set to 'True' if you take all providers
|
||||
function draw_page(all) {
|
||||
$.getJSON("/sentiment_analysis_getplotdata/?getProviders=True&all="+all,
|
||||
function(data) {
|
||||
var promises = [];
|
||||
|
||||
var the_length = provider_already_loaded.length == 0 ? 0 : provider_already_loaded.length;
|
||||
for(i=0; i<data.length; i++) {
|
||||
if(provider_already_loaded.indexOf(data[i]) != -1) {
|
||||
continue;
|
||||
} else {
|
||||
totNumGraph++;
|
||||
if(i % 2 == 0) {
|
||||
$("#today_divl").append(add_new_graph_today(i+the_length+1));
|
||||
$("#week_divl").append(add_new_graph_week(i+the_length+1));
|
||||
}
|
||||
else {
|
||||
$("#today_divr").append(add_new_graph_today(i+the_length+1));
|
||||
$("#week_divr").append(add_new_graph_week(i+the_length+1));
|
||||
}
|
||||
provider_already_loaded.push(data[i])
|
||||
promises.push(query_and_plot(data[i], i+the_length));
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
$.when.apply($, promises).done( function (arg) {
|
||||
draw_widgets();
|
||||
$("#LoadAll").show('fast');
|
||||
});
|
||||
}
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
// Query data and plot it for a given provider
|
||||
// input - provider: The povider name to be plotted
|
||||
// input - graphNum: The number of the graph (Use to plot on correct div)
|
||||
function query_and_plot(provider, graphNum) {
|
||||
var query_plot = $.getJSON("/sentiment_analysis_getplotdata/?provider="+provider,
|
||||
function(data) {
|
||||
var plot_data = [];
|
||||
var array_provider = Object.keys(data);
|
||||
var dates_providers = Object.keys(data[array_provider[0]]);
|
||||
var dateStart = parseInt(dates_providers[0]);
|
||||
var oneHour = 60*60;
|
||||
var oneWeek = oneHour*24*7;
|
||||
|
||||
for (graphNum=0; graphNum<8; graphNum++) {
|
||||
var max_value = 0.0;
|
||||
var max_value_day = 0.0;
|
||||
var graph_data = [];
|
||||
var spark_data = [];
|
||||
var curr_provider = array_provider[graphNum];
|
||||
var curr_provider = array_provider[0];
|
||||
var curr_sum = 0.0;
|
||||
var curr_sum_elem = 0.0;
|
||||
var day_sum = 0.0;
|
||||
|
|
@ -88,7 +171,6 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
var neu = 0;
|
||||
|
||||
for(i=0; i<data_array.length; i++){
|
||||
//console.log(data_array[i].replace(/\'/g, '\"'));
|
||||
var curr_data = jQuery.parseJSON(data_array[i].replace(/\'/g, '\"'));
|
||||
compPosAvg += curr_data['compoundPos'];
|
||||
compNegAvg += curr_data['compoundNeg'];
|
||||
|
|
@ -109,8 +191,7 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
max_value = Math.abs(pos-neg) > max_value ? Math.abs(pos-neg) : max_value;
|
||||
|
||||
if(curr_date >= dateStart+oneWeek-23*oneHour){
|
||||
max_value_day = Math.abs(pos-neg) > max_value_day ? Math.abs(pos-neg) : max_value_day;
|
||||
day_sum += (pos-neg);
|
||||
max_value_day = Math.abs(pos-neg) > max_value_day ? Math.abs(pos-neg) : max_value_day; day_sum += (pos-neg);
|
||||
day_sum_elem++;
|
||||
}
|
||||
if(curr_date > dateStart+oneWeek-2*oneHour && curr_date <=dateStart+oneWeek-oneHour){
|
||||
|
|
@ -121,13 +202,12 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
}
|
||||
all_graph_day_sum += day_sum;
|
||||
all_graph_hour_sum += hour_sum;
|
||||
all_graph_hour_sum_minus += hour_sum > 0 ? 0 : 1;
|
||||
all_graph_hour_maxVal = Math.abs(hour_sum) > all_graph_hour_maxVal ? Math.abs(hour_sum) : all_graph_hour_maxVal;
|
||||
|
||||
var curr_avg = curr_sum / (curr_sum_elem);
|
||||
if(isNaN(curr_avg))
|
||||
curr_avg = 0.0
|
||||
//var curr_avg = curr_sum / (oneWeek/oneHour);
|
||||
//var curr_avg = curr_sum / (spark_data.length);
|
||||
graph_avg.push([curr_provider, curr_avg]);
|
||||
plot_data.push(spark_data);
|
||||
all_data.push(graph_data);
|
||||
|
|
@ -141,7 +221,7 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
var num = graphNum + 1;
|
||||
var placeholder = '.sparkLineStatsWeek' + num;
|
||||
sparklineOptions.barWidth = 2;
|
||||
$(placeholder).sparkline(plot_data[graphNum], sparklineOptions);
|
||||
$(placeholder).sparkline(plot_data[0], sparklineOptions);
|
||||
$(placeholder+'t').text(curr_provider);
|
||||
var curr_avg_text = isNaN(curr_avg) ? "No data" : curr_avg.toFixed(5);
|
||||
$(placeholder+'s').text(curr_avg_text);
|
||||
|
|
@ -169,8 +249,8 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
|
||||
|
||||
// print today
|
||||
var data_length = plot_data[graphNum].length;
|
||||
var data_today = plot_data[graphNum].slice(data_length-24, data_length);
|
||||
var data_length = plot_data[0].length;
|
||||
var data_today = plot_data[0].slice(data_length-24, data_length);
|
||||
|
||||
placeholder = '.sparkLineStatsToday' + num;
|
||||
sparklineOptions.barWidth = 14;
|
||||
|
|
@ -199,155 +279,124 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
$(avgName).addClass("panel-warning")
|
||||
}
|
||||
|
||||
}//for loop
|
||||
|
||||
|
||||
|
||||
/* ---------------- Gauge ---------------- */
|
||||
var gaugeOptions = {
|
||||
animateEasing: true,
|
||||
|
||||
elementWidth: 200,
|
||||
elementHeight: 125,
|
||||
|
||||
arcFillStart: 10,
|
||||
arcFillEnd: 12,
|
||||
arcFillTotal: 20,
|
||||
incTot: 1.0,
|
||||
|
||||
arcBgColorLight: 200,
|
||||
arcBgColorSat: 0,
|
||||
arcStrokeFg: 20,
|
||||
arcStrokeBg: 30,
|
||||
|
||||
colorArcFg: '#FF3300',
|
||||
animateSpeed: 1,
|
||||
|
||||
};
|
||||
// Clone object
|
||||
var gaugeOptions2 = jQuery.extend(true, {}, gaugeOptions);
|
||||
var gaugeOptions3 = jQuery.extend(true, {}, gaugeOptions);
|
||||
|
||||
|
||||
|
||||
gaugeOptions.appendTo = '#gauge_today_last_hour';
|
||||
gaugeOptions.dialLabel = 'Last hour';
|
||||
gaugeOptions.elementId = 'gauge1';
|
||||
var piePercent = (all_graph_hour_sum / 8) / all_graph_hour_maxVal;
|
||||
gaugeOptions.inc = piePercent;
|
||||
var gauge_today_last_hour = new FlexGauge(gaugeOptions);
|
||||
|
||||
gaugeOptions2.appendTo = '#gauge_today_last_days';
|
||||
gaugeOptions2.dialLabel = 'Today';
|
||||
gaugeOptions2.elementId = 'gauge2';
|
||||
//piePercent = (all_graph_day_sum / (8*24)) / max_value;
|
||||
piePercent = (all_day_avg / 8) / all_day_avg_maxVal;
|
||||
gaugeOptions2.inc = piePercent;
|
||||
var gauge_today_last_days = new FlexGauge(gaugeOptions2);
|
||||
|
||||
gaugeOptions3.appendTo = '#gauge_week';
|
||||
gaugeOptions3.dialLabel = 'Week';
|
||||
gaugeOptions3.elementId = 'gauge3';
|
||||
|
||||
var graph_avg_sum = 0.0;
|
||||
var temp_max_val = 0.0;
|
||||
for (i=0; i<graph_avg.length; i++){
|
||||
graph_avg_sum += graph_avg[i][1];
|
||||
temp_max_val = Math.abs(graph_avg[i][1]) > temp_max_val ? Math.abs(graph_avg[i][1]) : temp_max_val;
|
||||
}
|
||||
|
||||
piePercent = (graph_avg_sum / graph_avg.length) / temp_max_val;
|
||||
gaugeOptions3.inc = piePercent;
|
||||
var gauge_today_last_days = new FlexGauge(gaugeOptions3);
|
||||
);
|
||||
return query_plot
|
||||
}
|
||||
|
||||
|
||||
/* --------- Sort providers -------- */
|
||||
|
||||
graph_avg.sort(function(a, b){return b[1]-a[1]});
|
||||
function draw_widgets() {
|
||||
|
||||
for (i=1; i<6; i++){
|
||||
$('.worst'+i).text(graph_avg[7-(i-1)][0]);
|
||||
$('.best'+i).text(graph_avg[i-1][0]);
|
||||
}
|
||||
/* ---------------- Gauge ---------------- */
|
||||
var gaugeOptions = {
|
||||
animateEasing: true,
|
||||
|
||||
/* ----------- CanvasJS ------------ */
|
||||
elementWidth: 200,
|
||||
elementHeight: 125,
|
||||
|
||||
var comp_sum_day_pos = 0.0;
|
||||
var comp_sum_day_neg = 0.0;
|
||||
var comp_sum_hour_pos = 0.0;
|
||||
var comp_sum_hour_neg = 0.0;
|
||||
for(graphNum=0; graphNum<8; graphNum++){
|
||||
curr_graphData = all_data[graphNum];
|
||||
var gauge_data = curr_graphData.slice(curr_graphData.length-24, curr_graphData.length);
|
||||
for (i=1; i< gauge_data.length; i++){
|
||||
comp_sum_day_pos += gauge_data[i].compoundPos;
|
||||
comp_sum_day_neg += gauge_data[i].compoundNeg;
|
||||
arcFillStart: 10,
|
||||
arcFillEnd: 12,
|
||||
arcFillTotal: 20,
|
||||
incTot: 1.0,
|
||||
|
||||
if(i == 23){
|
||||
comp_sum_hour_pos += gauge_data[i].compoundPos;
|
||||
comp_sum_hour_neg += gauge_data[i].compoundNeg;
|
||||
}
|
||||
arcBgColorLight: 200,
|
||||
arcBgColorSat: 0,
|
||||
arcStrokeFg: 20,
|
||||
arcStrokeBg: 30,
|
||||
|
||||
colorArcFg: '#FF3300',
|
||||
animateSpeed: 1,
|
||||
|
||||
};
|
||||
// Clone object
|
||||
var gaugeOptions2 = jQuery.extend(true, {}, gaugeOptions);
|
||||
var gaugeOptions3 = jQuery.extend(true, {}, gaugeOptions);
|
||||
|
||||
|
||||
|
||||
gaugeOptions.appendTo = '#gauge_today_last_hour';
|
||||
gaugeOptions.dialLabel = 'Last hour';
|
||||
gaugeOptions.elementId = 'gauge1';
|
||||
var piePercent = (all_graph_hour_sum / (totNumGraph - all_graph_hour_sum_minus)) / all_graph_hour_maxVal;
|
||||
gaugeOptions.inc = piePercent;
|
||||
var gauge_today_last_hour = new FlexGauge(gaugeOptions);
|
||||
|
||||
gaugeOptions2.appendTo = '#gauge_today_last_days';
|
||||
gaugeOptions2.dialLabel = 'Today';
|
||||
gaugeOptions2.elementId = 'gauge2';
|
||||
piePercent = (all_day_avg / totNumGraph) / all_day_avg_maxVal;
|
||||
gaugeOptions2.inc = piePercent;
|
||||
var gauge_today_last_days = new FlexGauge(gaugeOptions2);
|
||||
|
||||
gaugeOptions3.appendTo = '#gauge_week';
|
||||
gaugeOptions3.dialLabel = 'Week';
|
||||
gaugeOptions3.elementId = 'gauge3';
|
||||
|
||||
var graph_avg_sum = 0.0;
|
||||
var temp_max_val = 0.0;
|
||||
for (i=0; i<graph_avg.length; i++){
|
||||
graph_avg_sum += graph_avg[i][1];
|
||||
temp_max_val = Math.abs(graph_avg[i][1]) > temp_max_val ? Math.abs(graph_avg[i][1]) : temp_max_val;
|
||||
}
|
||||
|
||||
piePercent = (graph_avg_sum / graph_avg.length) / temp_max_val;
|
||||
gaugeOptions3.inc = piePercent;
|
||||
var gauge_today_last_days = new FlexGauge(gaugeOptions3);
|
||||
|
||||
|
||||
/* --------- Sort providers -------- */
|
||||
|
||||
graph_avg.sort(function(a, b){return b[1]-a[1]});
|
||||
|
||||
for (i=1; i<6; i++){
|
||||
$('.worst'+i).text(graph_avg[7-(i-1)][0]);
|
||||
$('.best'+i).text(graph_avg[i-1][0]);
|
||||
}
|
||||
|
||||
/* ----------- CanvasJS ------------ */
|
||||
|
||||
var comp_sum_day_pos = 0.0;
|
||||
var comp_sum_day_neg = 0.0;
|
||||
var comp_sum_hour_pos = 0.0;
|
||||
var comp_sum_hour_neg = 0.0;
|
||||
for(graphNum=0; graphNum<totNumGraph; graphNum++){
|
||||
curr_graphData = all_data[graphNum];
|
||||
var gauge_data = curr_graphData.slice(curr_graphData.length-24, curr_graphData.length);
|
||||
for (i=1; i< gauge_data.length; i++){
|
||||
comp_sum_day_pos += gauge_data[i].compoundPos;
|
||||
comp_sum_day_neg += gauge_data[i].compoundNeg;
|
||||
|
||||
if(i == 23){
|
||||
comp_sum_hour_pos += gauge_data[i].compoundPos;
|
||||
comp_sum_hour_neg += gauge_data[i].compoundNeg;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
var options_canvasJS_1 = {
|
||||
}
|
||||
|
||||
animationEnabled: true,
|
||||
axisY: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
valueFormatString: " ",
|
||||
gridThickness: 0
|
||||
},
|
||||
axisX: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
labelFontSize: 0.1,
|
||||
},
|
||||
data: [
|
||||
{
|
||||
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Positive: </strong></span><span><strong>{y}</strong></span>",
|
||||
type: "bar",
|
||||
color: "green",
|
||||
dataPoints: [
|
||||
{y: comp_sum_hour_pos/8}
|
||||
]
|
||||
},
|
||||
{
|
||||
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Negative: </strong></span><span><strong>{y}</strong></span>",
|
||||
type: "bar",
|
||||
color: "red",
|
||||
dataPoints: [
|
||||
{y: comp_sum_hour_neg/8}
|
||||
]
|
||||
}
|
||||
]
|
||||
};
|
||||
var options_canvasJS_1 = {
|
||||
|
||||
var chart_canvas1 = new CanvasJS.Chart("bar_today_last_hour", options_canvasJS_1);
|
||||
|
||||
var options_canvasJS_2 = {
|
||||
|
||||
animationEnabled: true,
|
||||
axisY: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
valueFormatString: " ",
|
||||
gridThickness: 0
|
||||
},
|
||||
axisX: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
labelFontSize: 0.1,
|
||||
},
|
||||
data: [
|
||||
animationEnabled: true,
|
||||
axisY: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
valueFormatString: " ",
|
||||
gridThickness: 0
|
||||
},
|
||||
axisX: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
labelFontSize: 0.1,
|
||||
},
|
||||
data: [
|
||||
{
|
||||
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Positive: </strong></span><span><strong>{y}</strong></span>",
|
||||
type: "bar",
|
||||
color: "green",
|
||||
dataPoints: [
|
||||
{y: comp_sum_day_pos/8}
|
||||
{y: comp_sum_hour_pos/totNumGraph}
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -355,32 +404,51 @@ $.getJSON("/sentiment_analysis_getplotdata/",
|
|||
type: "bar",
|
||||
color: "red",
|
||||
dataPoints: [
|
||||
{y: comp_sum_day_neg/8}
|
||||
{y: comp_sum_hour_neg/totNumGraph}
|
||||
]
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
var chart_canvas1 = new CanvasJS.Chart("bar_today_last_hour", options_canvasJS_1);
|
||||
|
||||
var options_canvasJS_2 = {
|
||||
|
||||
animationEnabled: true,
|
||||
axisY: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
valueFormatString: " ",
|
||||
gridThickness: 0
|
||||
},
|
||||
axisX: {
|
||||
tickThickness: 0,
|
||||
lineThickness: 0,
|
||||
labelFontSize: 0.1,
|
||||
},
|
||||
data: [
|
||||
{
|
||||
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Positive: </strong></span><span><strong>{y}</strong></span>",
|
||||
type: "bar",
|
||||
color: "green",
|
||||
dataPoints: [
|
||||
{y: comp_sum_day_pos/totNumGraph}
|
||||
]
|
||||
};
|
||||
|
||||
var chart_canvas2 = new CanvasJS.Chart("bar_today_last_days", options_canvasJS_2);
|
||||
|
||||
chart_canvas1.render();
|
||||
chart_canvas2.render();
|
||||
|
||||
|
||||
|
||||
}
|
||||
);
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
},
|
||||
{
|
||||
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Negative: </strong></span><span><strong>{y}</strong></span>",
|
||||
type: "bar",
|
||||
color: "red",
|
||||
dataPoints: [
|
||||
{y: comp_sum_day_neg/totNumGraph}
|
||||
]
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
var chart_canvas2 = new CanvasJS.Chart("bar_today_last_days", options_canvasJS_2);
|
||||
|
||||
chart_canvas1.render();
|
||||
chart_canvas2.render();
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -154,7 +154,6 @@
|
|||
</script>
|
||||
|
||||
<script src="{{ url_for('static', filename='js/bootstrap.min.js') }}"></script>
|
||||
<script src="{{ url_for('static', filename='js/plugins/metisMenu/metisMenu.js') }}"></script>
|
||||
|
||||
</body>
|
||||
|
||||
|
|
|
|||
|
|
@ -113,6 +113,7 @@
|
|||
</div>
|
||||
<!-- /.row -->
|
||||
<div class="row">
|
||||
<button id="LoadAll" class="btn btn-info" style="margin: 5px;"><span class="glyphicon glyphicon-download"> </span> Load data from all providers </button>
|
||||
|
||||
<!-- Pannel TODAY -->
|
||||
<div class="row">
|
||||
|
|
@ -128,139 +129,13 @@
|
|||
<div class="col-lg-9" style="padding-left: 0px;">
|
||||
<!-- providers charts -->
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday1"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday1b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday2"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday2b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday3"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday3b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday4"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday4b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="today_divl" class="sparkLineStats">
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday5"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday5b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday6"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday6b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday7"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday7b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday8"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsToday8b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="today_divr" class="sparkLineStats">
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
|
@ -304,139 +179,13 @@
|
|||
<div class="col-lg-9" style="padding-left: 0px;">
|
||||
<!-- providers charts -->
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek1"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek1b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek2"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek2b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek3"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek3b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek4"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek4b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="week_divl" class="sparkLineStats">
|
||||
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-lg-6">
|
||||
<div class="sparkLineStats">
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek5"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek5b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek6"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek6b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek7"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek7b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<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>
|
||||
</div>
|
||||
<div class="panel-body panelInside">
|
||||
<table class="table">
|
||||
<tbody>
|
||||
<tr>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek8"></div></td>
|
||||
<td style="border-top: 0px solid #ddd;"><div class="sparkLineStatsWeek8b"></div></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
<div id="week_divr" class="sparkLineStats">
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
|
@ -491,8 +240,6 @@
|
|||
</div>
|
||||
|
||||
|
||||
|
||||
|
||||
<!-- /.row -->
|
||||
</div>
|
||||
<!-- /#page-wrapper -->
|
||||
|
|
@ -502,13 +249,15 @@
|
|||
<!-- import graph function -->
|
||||
<script src="{{ url_for('static', filename='js/sentiment_trending.js') }}"></script>
|
||||
<script>
|
||||
$("#LoadAll").hide();
|
||||
|
||||
$(document).ready(function(){
|
||||
activePage = $('h1.page-header').attr('data-page');
|
||||
$("#"+activePage).addClass("active");
|
||||
$('[data-toggle="tooltip"]').tooltip();
|
||||
|
||||
|
||||
$("#LoadAll").click(function(){ draw_page("True"); });
|
||||
draw_page("False");
|
||||
// Reload every 30min
|
||||
setTimeout(function(){ location.reload(); }, 30*60*1000);
|
||||
});
|
||||
|
|
|
|||
|
|
@ -233,15 +233,15 @@
|
|||
$.getJSON(url, function (data) {
|
||||
if (data.length != 0) {
|
||||
var html_to_add = "";
|
||||
html_to_add += "<table class=\"table table-striped\">";
|
||||
html_to_add += "<table id=\"modal-table\" class=\"table table-striped\">";
|
||||
html_to_add += "<thead>";
|
||||
html_to_add += "<tr>";
|
||||
html_to_add += "<th>Source</th>";
|
||||
html_to_add += "<th>Date</th>";
|
||||
html_to_add += "<th>Encoding</th>";
|
||||
html_to_add += "<th>Size (Kb)</th>";
|
||||
html_to_add += "<th>Mime</th>";
|
||||
html_to_add += "<th>(# lines, Max line length)</th>";
|
||||
html_to_add += "<th># lines</th>";
|
||||
html_to_add += "<th>Max length</th>";
|
||||
html_to_add += "<th>Preview</th>";
|
||||
html_to_add += "</tr>";
|
||||
html_to_add += "</thead>";
|
||||
|
|
@ -253,8 +253,8 @@
|
|||
html_to_add += "<td>"+curr_data.date+"</td>";
|
||||
html_to_add += "<td>"+curr_data.encoding+"</td>";
|
||||
html_to_add += "<td>"+curr_data.size+"</td>";
|
||||
html_to_add += "<td>"+curr_data.mime+"</td>";
|
||||
html_to_add += "<td>("+curr_data.lineinfo[0]+", "+curr_data.lineinfo[1]+")</td>";
|
||||
html_to_add += "<td>"+curr_data.lineinfo[0]+"</td>";
|
||||
html_to_add += "<td>"+curr_data.lineinfo[1]+"</td>";
|
||||
html_to_add += "<td><div class=\"row\"><button class=\"btn btn-xs btn-default\" data-toggle=\"popover\" data-placement=\"left\" data-content=\""+curr_data.content+"\">Preview content</button><a target=\"_blank\" href=\"{{ url_for('showsavedpaste') }}?paste="+curr_data.path+"&num=0\"> <button type=\"button\" class=\"btn btn-xs btn-info\">Show Paste</button></a></div></td>";
|
||||
|
||||
html_to_add += "</tr>";
|
||||
|
|
@ -264,6 +264,7 @@
|
|||
$("#mymodalbody").html(html_to_add);
|
||||
$("[data-toggle=popover]").popover();
|
||||
$("#button_show_plot").attr("href", "{{ url_for('terms_plot_tool')}}"+"?term="+the_modal.attr('data-term') );
|
||||
$('#modal-table').DataTable();
|
||||
} else {
|
||||
$("#mymodalbody").html("No paste containing this term has been received yet.");
|
||||
$("#button_show_plot").attr("href", "{{ url_for('terms_plot_tool')}}"+"?term="+the_modal.attr('data-term') );
|
||||
|
|
|
|||
Loading…
Reference in a new issue