import json
from DataUtility import DataUtility
import datetime
import time
from random import randint
d = DataUtility()
twitterjsondata = d.read_tabbed_file("Rohdaten_Sandy/numeric_20121022_clean.csv")
tweets = []
count = 0
for tweet in twitterjsondata:
try:
tweet["longitude"] = float(tweet["lon"])
tweet["latitude"] = float(tweet["lat"])
tweet["children"] = []
#tweet["timestamp"] = 0
tweet["numberOfRetweets"] = randint(0,101)
timestamp = tweet["timestamp"]
#print tweet
tweet["timestamp"] = int(time.mktime(datetime.datetime.strptime(str(timestamp), "%Y%m%d%H%M%S").timetuple()))
#print tweet
if count < 10000:
