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time_dependent_aggregate.py
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import pymongo
from pymongo import MongoClient
import random
from datetime import datetime,timedelta
import warnings
import calendar
from pymongo import MongoClient
import time
from collections import Counter
import requests
import json
warnings.filterwarnings("ignore", category=DeprecationWarning)
headers = {'content-type': 'application/json'}
url = 'http://master:8080/brand/alert'
client = pymongo.MongoClient("mongodb+srv://KokilaReddy:[email protected]/Sociolitic?retryWrites=true&w=majority")
db = client.Social_media_data
YouTube = db.youTube
Twitter = db.twitter
Tumblr = db.tumblr
Reddit = db.reddit
Aggregate = db.aggregate
def years_(s,l,tag):
todays_date = datetime.today()
years = []
years_ner = []
for i in range (l,s,-1):
start = datetime((todays_date.year-i), 1, 1)
end = datetime((todays_date.year-i), 12, 31)
data,ner = data_(start,end,tag)
years.insert(0, data)
years_ner.insert(0, ner)
return(years,years_ner)
def months_(s,l,tag):
months= []
months_ner = []
todays_date = datetime.today()
for i in range (s,todays_date.month):
x,y = calendar.monthrange(todays_date.year, i)
start = start = datetime((todays_date.year), i, 1)
end = datetime((todays_date.year), i, y)
data,ner = data_(start,end,tag)
months.append(data)
months_ner.append(ner)
months = (months + l * ['x'])[:l]
months_ner = (months_ner + l * ['x'])[:l]
return(months,months_ner)
def days_(s,l,tag):
days = []
days_ner = []
todays_date = datetime.today()
for i in range (s,todays_date.day):
start = datetime(todays_date.year, todays_date.month,i,0,0,0)
end = datetime(todays_date.year, todays_date.month,i,23,59,59)
data,ner = data_(start,end,tag)
days.append(data)
days_ner.append(ner)
days = (days + l * ['x'])[:l]
days_ner = (days_ner + l * ['x'])[:l]
return (days,days_ner)
def hours_(s,l,tag):
hours = []
hours_ner = []
todays_date = datetime.today()
for i in range (s,todays_date.hour):
start = datetime(todays_date.year, todays_date.month,todays_date.day,i,0,0)
end = datetime(todays_date.year, todays_date.month,todays_date.day,i,59,59)
data,ner = data_(start,end,tag)
hours.append(data)
hours_ner.append(ner)
hours = (hours + l * ['x'])[:l]
hours_ner = (hours_ner + l * ['x'])[:l]
return (hours,hours_ner)
def minutes_(s,l,tag):
minutes = []
minutes_ner = []
todays_date = datetime.today()
for i in range (s,todays_date.minute):
start = datetime(todays_date.year, todays_date.month,todays_date.day,todays_date.hour,i,0)
end = datetime(todays_date.year, todays_date.month,todays_date.day,todays_date.hour,i,59)
data,ner = data_(start,end,tag)
minutes.append(data)
minutes_ner.append(ner)
minutes = (minutes + l * ['x'])[:l]
minutes_ner = (minutes_ner + l * ['x'])[:l]
return (minutes,minutes_ner)
def refine_list(lst):
i=0
while(i<len(lst)):
j=i+1
while(j<len(lst)):
if (lst[i]["source"]==lst[j]["source"] and lst[i]['tag']==lst[j]['tag'] and lst[i]['phrase']==lst[j]['phrase'] and lst[i]['sentiment']==lst[j]['sentiment']):
lst[i]['count']+=lst[j]['count']
if lst[i]['created_date']>lst[j]['created_date']:
lst[i]['created_date']=lst[j]['created_date']
lst.remove(lst[j])
j+=1
i+=1
newlist = sorted(lst, key=lambda d: d['count'],reverse = True)
return newlist[:20]
def ner_data(NER,source,sentiment,date):
Data = []
for k,v in NER.items():
if (len(v)>0):
for i in v:
x = i.replace('.', '_')
x = x.replace('$',' dollar ')
data = {"source":source,
"tag":k,
"phrase":x,
"sentiment":sentiment,
"created_date":date,
"count":1}
Data.append(data)
return Data
def data_(start,end,tag):
reddit_pos = reddit_neg = reddit_neu = youtube_pos = youtube_neg = youtube_neu = tumblr_pos = tumblr_neg = tumblr_neu = twitter_pos = twitter_neg = twitter_neu = 0
NER_data=[]
reddit = Reddit.find({'tag': tag,"created_time":{'$lt': end, '$gte': start}},{"sentiment","ner","created_time"})
for data in reddit:
NER_data.extend(ner_data(data["ner"],"reddit",data["sentiment"],data["created_time"]))
if data["sentiment"]=="Positive":
reddit_pos+=1
elif data["sentiment"]=="Negative":
reddit_neg+=1
else:
reddit_neu+=1
youtube = YouTube.find({'tag': tag,"created_time":{'$lt': end, '$gte': start}},{"sentiment","ner",'created_time'})
for data in youtube:
NER_data.extend(ner_data(data["ner"],"youtube",data["sentiment"],data["created_time"]))
if data["sentiment"]=="Positive":
youtube_pos+=1
elif data["sentiment"]=="Negative":
youtube_neg+=1
else:
youtube_neu+=1
tumblr = Tumblr.find({'tag': tag,"created_time":{'$lt': end, '$gte': start}},{"sentiment","ner",'created_time'})
for data in tumblr:
NER_data.extend(ner_data(data["ner"],"tumblr",data["sentiment"],data["created_time"]))
if data["sentiment"]=="Positive":
tumblr_pos+=1
elif data["sentiment"]=="Negative":
tumblr_neg+=1
else:
tumblr_neu+=1
twitter = Twitter.find({'tag': tag,"created_time":{'$lt': end, '$gte': start}},{"sentiment","ner",'created_time'})
for data in twitter:
NER_data.extend(ner_data(data["ner"],"twitter",data["sentiment"],data["created_time"]))
if data["sentiment"]=="Positive":
twitter_pos+=1
elif data["sentiment"]=="Negative":
twitter_neg+=1
else:
twitter_neu+=1
reddit = reddit_neu+reddit_neg+reddit_pos
youtube = youtube_pos+youtube_neg+youtube_neu
tumblr = tumblr_neu+tumblr_neg+tumblr_pos
twitter = twitter_pos+twitter_neg+twitter_neu
data = {
"total":twitter+tumblr+youtube+reddit,
"positive":reddit_pos+youtube_pos+tumblr_pos+twitter_pos,
"negative":reddit_neg+youtube_neg+tumblr_neg+twitter_neg,
"neutral":reddit_neu+youtube_neu+tumblr_neu+twitter_neu,
"sources":{
"reddit":
{
"total":reddit,
"positive":reddit_pos,
"negative":reddit_neg,
"neutral":reddit_neu
},
"youtube":
{
"total":youtube,
"positive":youtube_pos,
"negative":youtube_neg,
"neutral":youtube_neu
},
"tumblr":
{
"total":tumblr,
"positive":tumblr_pos,
"negative":tumblr_neg,
"neutral":tumblr_neu
},
"twitter":
{
"total":twitter,
"positive":twitter_pos,
"negative":twitter_neg,
"neutral":twitter_neu
}
}
}
NER_data = refine_list(NER_data)
return data,NER_data
def merge(c):
_keys = {i for b in c for i in b}
return {i:[sum, merge][isinstance(c[0][i], dict)]([h[i] for h in c]) for i in _keys}
def merge_ner(lst):
final_list = []
for l in lst:
final_list.extend(l)
final_list = refine_list(final_list)
return final_list
def insert_data(tag):
if (db["aggregate"].find({'tag':tag}).count() > 0)== False:
print("aggregate started")
profiles_data = db["profile"].find({"brand":tag},{"_id"})
profiles=[]
for ele in profiles_data:
profiles.append(str(ele["_id"]))
years,years_ner = years_(0,5,tag)
months,months_ner= months_(1,12,tag)
todays_date = datetime.today()
x,y = calendar.monthrange(todays_date.year, todays_date.month)
days,days_ner= days_(1,y,tag)
hours,hours_ner = hours_(0,24,tag)
minutes,minutes_ner = minutes_(0,60,tag)
now = datetime.now()
output = {
"tag":tag,
"profiles":profiles,
"years":years,
"months":months,
"days":days,
"hours":hours,
"mins":minutes,
"createdAt": datetime.now(), "updatedAt": datetime.now()
}
output_ner = {
"tag":tag,
"profiles":profiles,
"years":years_ner,
"months":months_ner,
"days":days_ner,
"hours":hours_ner,
"mins":minutes_ner,
"createdAt": datetime.now(), "updatedAt": datetime.now()
}
previous_day = now - timedelta(1)
start = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,0,)
end = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,59,59)
data = data_(start,end,tag)
previous_hour = data[0]["total"]
db["aggregate"].insert_one(output)
db["ner_aggregate"].insert_one(output_ner)
while True:
while ((datetime.now()-now).seconds>50):
now = datetime.now()
if (db["aggregate"].find({"tag":tag,"profiles":[]}).count==0):
return "No profiles are monitoring"
todays_date = datetime.today()
if(todays_date.minute==0):
minute = 59
if(todays_date.hour==0):
hour = 23
if(todays_date.day==1):
day = len(days)
if(todays_date.month==1):
month = 12
year = todays_date.year-1
else:
month= todays_date.month-1
else:
day = todays_date.day-1
else:
hour = todays_date.hour-1
else:
year = todays_date.year
month = todays_date.month
day = todays_date.day
hour = todays_date.hour
minute = todays_date.minute-1
start = datetime(year,month,day,hour,minute,0)
end = datetime(year,month,day,hour,minute,59)
minutes[todays_date.minute-1] , minutes_ner[todays_date.minute-1] = data_(start,end,tag)
if(minutes[-1]!='x'):
this_hour=merge(minutes)["total"]
if (this_hour!=0 and previous_hour!=0):
if(previous_hour==0):
change = this_hour
else:
change = (this_hour - previous_hour)/previous_hour*100
if (abs(change)>=20):
previous_day = now - timedelta(25)
start = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,0,)
end = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,59,59)
data = data_(start,end,tag)
previous_day_hour = data[0]["total"]
data={
"tag":tag,
"profiles":profiles,
"change":change,
"this_hour":this_hour,
"previous_hour":previous_hour,
"previous_day_hour":previous_day_hour
}
requests.post(url, data=json.dumps(data), headers=headers)
previous_hour = this_hour
hours[todays_date.hour-1] = merge(minutes)
hours_ner[todays_date.hour-1] = merge_ner(minutes_ner)
minutes = ['x']*60
minutes_ner = ['x']*60
if(hours[-1]!='x'):
days[todays_date.day-2] = merge(hours)
days_ner[todays_date.day-2] = merge_ner(hours_ner)
hours = ['x']*24
hours_ner = ['x']*24
if(days[-1]!='x'):
months[todays_date.month-2] = merge(days)
months_ner[todays_date.month-2] = merge_ner(days_ner)
x,y = calendar.monthrange(todays_date.year, todays_date.month)
days = ['x']*y
days_ner = ['x']*y
if(months[-1]!='x'):
years.append(merge(months))
years_ner.append(merge_ner(months_ner))
months = ["x"] * 12
months_ner = ["x"] * 12
output1 = {
"years":years,
"months":months,
"days":days,
"hours":hours,
"mins":minutes,
"updatedAt": datetime.now()
}
output_ner = {
"years":years_ner,
"months":months_ner,
"days":days_ner,
"hours":hours_ner,
"mins":minutes_ner,
"updatedAt": datetime.now()
}
db["aggregate"].update_one({"tag":tag},{"$set":output1})
db["ner_aggregate"].update_one({"tag":tag},{"$set":output_ner})
return "done"
else:
if (db["aggregate"].find({"tag":tag,"profiles":[]}).count==0):
return "No profiles are monitoring"
print("Aggregate is updating")
output = db["aggregate"].find({"tag":tag})[0]
output_ner = db["ner_aggregate"].find({"tag":tag})[0]
check_date = output["updatedAt"]
time.sleep(60)
output_x = db["aggregate"].find({"tag":tag})[0]
if (output_x["updatedAt"]!=check_date):
return ("other function is running")
todays_date = datetime.now()
years = output["years"]
months = output["months"]
days=output["days"]
hours=output["hours"]
minutes=output["mins"]
years_ner = output_ner["years"]
months_ner = output_ner["months"]
days_ner = output_ner["days"]
hours_ner = output_ner["hours"]
minutes_ner = output_ner["mins"]
if (todays_date.year>check_date.year):
data,ner=years_(0,(todays_date.year-check_date.year),tag)
years =(years+(data))
years_ner = (years_ner+ner)
months,months_ner= months_(1,12,tag)
todays_date = datetime.today()
x,y = calendar.monthrange(todays_date.year, todays_date.month)
days,days_ner = days_(1,y,tag)
hours,hours_ner = hours_(0,24,tag)
minutes,minutes_ner = minutes_(0,60,tag)
elif (todays_date.month>check_date.month):
data,ner = months_((months_ner.index("x")+1),(12-months_ner.index("x")),tag)
months = months[:months_ner.index("x")]+(data)
months_ner = months_ner[:months_ner.index("x")]+ner
x,y = calendar.monthrange(todays_date.year, todays_date.month)
days,days_ner = days_(1,y,tag)
hours,hours_ner = hours_(0,24,tag)
minutes,minutes_ner = minutes_(0,60,tag)
elif(todays_date.day>check_date.day):
a,b = calendar.monthrange(todays_date.year, todays_date.month)
data,ner = days_((days.index("x")),(b+1-days.index("x")),tag)
days = days[:days_ner.index("x")]+(data)
days_ner = days_ner[:days_ner.index("x")]+ner
hours,hours_ner = hours_(0,24,tag)
minutes,minutes_ner = minutes_(0,60,tag)
elif(todays_date.hour>check_date.hour):
data,ner = hours_((hours_ner.index("x")),(25-hours_ner.index("x")),tag)
hours = hours[:hours_ner.index("x")]+(data)
hours_ner = hours_ner[:hours_ner.index("x")]+ner
minutes,minutes_ner = minutes_(0,60,tag)
elif(todays_date.minute>check_date.minute):
if "x" in minutes:
data,ner = minutes_((minutes_ner.index("x")),(61-minutes_ner.index("x")),tag)
minutes = minutes[:minutes_ner.index("x")]+(data)
minutes_ner = minutes_ner[:minutes_ner.index("x")]+ner
else:
minutes,minutes_ner = minutes_(0,60,tag)
now = datetime.now()
output1 = {
"years":years,
"months":months,
"days":days,
"hours":hours,
"mins":minutes,
"updatedAt": datetime.now()
}
output_ner = {
"years":years_ner,
"months":months_ner,
"days":days_ner,
"hours":hours_ner,
"mins":minutes_ner,
"updatedAt": datetime.now()
}
db["aggregate"].update_one({"tag":tag},{"$set":output1})
db["ner_aggregate"].update_one({"tag":tag},{"$set":output_ner})
previous_day = now - timedelta(1)
start = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,0,)
end = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,59,59)
data = data_(start,end,tag)
previous_hour = data[0]["total"]
while True:
while ((datetime.now()-now).seconds>50):
now = datetime.now()
if (db["aggregate"].find({"tag":tag,"profiles":[]}).count==0):
return "No profiles are monitoring"
todays_date = datetime.today()
if(todays_date.minute==0):
minute = 59
if(todays_date.hour==0):
hour = 23
if(todays_date.day==1):
day = len(days)
if(todays_date.month==1):
month = 12
year = todays_date.year-1
else:
month= todays_date.month-1
else:
day = todays_date.day-1
else:
hour = todays_date.hour-1
else:
year = todays_date.year
month = todays_date.month
day = todays_date.day
hour = todays_date.hour
minute = todays_date.minute-1
start = datetime(year,month,day,hour,minute,0)
end = datetime(year,month,day,hour,minute,59)
minutes[todays_date.minute-1] , minutes_ner[todays_date.minute-1] = data_(start,end,tag)
if(minutes[-1]!='x'):
this_hour=merge(minutes)["total"]
if (this_hour!=0 and previous_hour!=0):
if(previous_hour==0):
change = this_hour
else:
change = (this_hour - previous_hour)/previous_hour*100
if (abs(change)>=20):
previous_day = now - timedelta(25)
start = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,0,)
end = datetime(previous_day.year,previous_day.month,previous_day.day,previous_day.hour,59,59)
data = data_(start,end,tag)
previous_day_hour = data[0]["total"]
data={
"tag":tag,
"profiles":profiles,
"change":change,
"this_hour":this_hour,
"previous_hour":previous_hour,
"previous_day_hour":previous_day_hour
}
requests.post(url, data=json.dumps(data), headers=headers)
previous_hour = this_hour
hours[todays_date.hour-1] = merge(minutes)
hours_ner[todays_date.hour-1] = merge_ner(minutes_ner)
minutes = ['x']*60
minutes_ner = ['x']*60
if(hours[-1]!='x'):
days[todays_date.day-2] = merge(hours)
days_ner[todays_date.day-2] = merge_ner(hours_ner)
hours = ['x']*24
hours_ner = ['x']*24
if(days[-1]!='x'):
months[todays_date.month-2] = merge(days)
months_ner[todays_date.month-2] = merge_ner(days_ner)
x,y = calendar.monthrange(todays_date.year, todays_date.month)
days = ['x']*y
days_ner = ['x']*y
if(months[-1]!='x'):
years.append(merge(months))
years_ner.append(merge_ner(months_ner))
months = ["x"] * 12
months_ner = ["x"] * 12
output1 = {
"years":years,
"months":months,
"days":days,
"hours":hours,
"mins":minutes,
"updatedAt": datetime.now()
}
output_ner = {
"years":years_ner,
"months":months_ner,
"days":days_ner,
"hours":hours_ner,
"mins":minutes_ner,
"updatedAt": datetime.now()
}
db["aggregate"].update_one({"tag":tag},{"$set":output1})
db["ner_aggregate"].update_one({"tag":tag},{"$set":output_ner})
return "done"
def dist_list(List_dict):
if List_dict==[]:
return {}
dict_ = {k: [dic[k] for dic in List_dict] for k in List_dict[0]}
for k,v in dict_.items():
if isinstance(v[0],dict):
dict_[k] = dist_list(v)
return dict_
def get_data_aggregate(tag):
try:
data = db["aggregate"].find({"tag":tag})
if (data.count==0):
return("Aggregate isn't started yet")
else:
data = data[0]
Data = {
"_id":str(data['_id']),
"tag":data['tag'],
"profiles":data["profiles"],
"years":dist_list(data["years"]),
"months":dist_list(data["months"][:data["months"].index("x")]),
"days":dist_list(data["days"][:data["days"].index("x")]),
"hours":dist_list(data["hours"][:data["hours"].index("x")]),
"mins":dist_list(data["mins"][:data["mins"].index("x")]),
"createdAt":data["createdAt"],
"updatedAt":data["updatedAt"]
}
return Data
except:
return("Aggregate isn't started yet")
def get_data_ner_aggregate(tag):
try:
data = db["ner_aggregate"].find({"tag":tag})
if (data.count==0):
return("Aggregate isn't started yet")
else:
data = data[0]
Data = {
"_id":str(data['_id']),
"tag":data['tag'],
"profiles":data["profiles"],
"years":(data["years"]),
"months":(data["months"][:data["months"].index("x")]),
"days":(data["days"][:data["days"].index("x")]),
"hours":(data["hours"][:data["hours"].index("x")]),
"mins":(data["mins"][:data["mins"].index("x")]),
"createdAt":data["createdAt"],
"updatedAt":data["updatedAt"]
}
return Data
except:
return("Aggregate isn't started yet")