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process_ad_date_range.py
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process_ad_date_range.py
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#from boto.s3.connection import S3Connection
#s3 = S3Connection()
#s3.get_bucket('faveme')
import boto
import sys, os
import json
import glob
#import time
import datetime
from datetime import datetime, timedelta,date, time
from os import listdir
from os.path import isfile, join
import csv
#from csv import DictWriter
#from boto.s3.key import Key
def writeCSV(filename,hashtags,hash_list,tweet_list,tweet_data,lang_hist,gender_hist,location_hist):
print('writing to csv file')
time = tweet_data.get(tweet_data.keys()[0])
time2 = time[2].split()
date = (time2[1]+' '+time2[2]+' '+time2[3])
writer = csv.writer(open(filename+'.csv', 'wb'))
writer.writerow(['total ads',len(tweet_data),'total people',len(tweet_list),'day of week',time2[0],'date',date])
writer.writerow(['hashtag','hashtag count','hash unique users','user id','Ad Count','user name','followers','following','favourite count','gender','language','user id','user name','time','language','language count','gender name','gender count','hash value'])
sorted_hash = sorted(hashtags.items(), key=lambda x: x[1], reverse=True)
sorted_tweeters = sorted(tweet_list.items(), key = lambda x: x[1], reverse=True)
for k in range(0,len(hash_list)) :
if (k < len(hashtags)) :
str1 = sorted_hash[k][0].encode('utf-8') #hashtags.keys()[k].encode('utf-8')
# val = sorted_hash[k][1][0] #str(hashtags.get(hashtags.keys()[k],-1))
str2 = sorted_hash[k][1][0]
str2a = sorted_hash[k][1][1]
else :
str1 = ' '
str2 = ' '
if (k < len(tweet_list)) :
str3 = sorted_tweeters[k][0] #tweet_list.keys()[k]
# val = #tweet_list.get(tweet_list.keys()[k])
str4 = sorted_tweeters[k][1][0] #val[0]
str5 = sorted_tweeters[k][1][1]
str6 = sorted_tweeters[k][1][2]
str7 = sorted_tweeters[k][1][3]
str8 = sorted_tweeters[k][1][4]
str9 = sorted_tweeters[k][1][5]
str10 = sorted_tweeters[k][1][6]
else :
str3 = ' '
str4 = ' '
str5 = ' '
str6 = ' '
str7 = ' '
str8 = ' '
str9 = ' '
str10 = ' '
if k < len(tweet_data) :
val = tweet_data.get(tweet_data.keys()[k])
str11 = val[0]
str12 = val[1]
time2 = val[2].split()
str13 = time2[4]
else :
str11 = ' '
str12 = ' '
str13 = ' '
if k < len(lang_hist) :
val = lang_hist.get(lang_hist.keys()[k])
str14 = lang_hist.keys()[k]
str15 = lang_hist.get(lang_hist.keys()[k])
else :
str14 = ' '
str15 = ' '
if k < len(gender_hist):
str16 = gender_hist.keys()[k]
str17 = gender_hist.get(gender_hist.keys()[k])
else :
str16 = ' '
str17 = ' '
writer.writerow([str1,str2,str2a,str3,str4,str5,str6,str7,str8,str9,str10,str11,str12,str13,str14,str15,str16,str17,hash_list[k].encode('utf-8')])
def writeCSVpeople(filename,hashtags,hash_list,tweet_list,tweet_data,lang_hist,gender_hist) :
print('writing to csv file')
time = tweet_data.get(tweet_data.keys()[0])
time2 = time[2].split()
date = (time2[1]+' '+time2[2]+' '+time2[3])
writer = csv.writer(open(filename+'people'+'.csv', 'wb'))
writer.writerow(['total ads',len(tweet_data),'total people',len(tweet_list),'day of week',time2[0],'date',date])
writer.writerow(['user id','Ad Count','user name','followers','following','favourite count','gender','language','user id','user name','time','language','language count','gender name','gender count'])
sorted_hash = sorted(hashtags.items(), key=lambda x: x[1], reverse=True)
sorted_tweeters = sorted(tweet_list.items(), key = lambda x: x[1], reverse=True)
for k in range(0,len(hash_list)) :
if (k < len(tweet_list)) :
str3 = sorted_tweeters[k][0] #tweet_list.keys()[k]
# val = #tweet_list.get(tweet_list.keys()[k])
str4 = sorted_tweeters[k][1][0] #val[0]
str5 = sorted_tweeters[k][1][1]
str6 = sorted_tweeters[k][1][2]
str7 = sorted_tweeters[k][1][3]
str8 = sorted_tweeters[k][1][4]
str9 = sorted_tweeters[k][1][5]
str10 = sorted_tweeters[k][1][6]
else :
str3 = ' '
str4 = ' '
str5 = ' '
str6 = ' '
str7 = ' '
str8 = ' '
str9 = ' '
str10 = ' '
if k < len(tweet_data) :
val = tweet_data.get(tweet_data.keys()[k])
str11 = val[0]
str12 = val[1]
time2 = val[2].split()
str13 = time2[4]
else :
str11 = ' '
str12 = ' '
str13 = ' '
if k < len(lang_hist) :
val = lang_hist.get(lang_hist.keys()[k])
str14 = lang_hist.keys()[k]
str15 = lang_hist.get(lang_hist.keys()[k])
else :
str14 = ' '
str15 = ' '
if k < len(gender_hist):
str16 = gender_hist.keys()[k]
str17 = gender_hist.get(gender_hist.keys()[k])
else :
str16 = ' '
str17 = ' '
writer.writerow([str3,str4,str5,str6,str7,str8,str9,str10,str11,str12,str13,str14,str15,str16,str17])
def writeCSVads(filename,hashtags,tweet_list,tweet_data,lang_hist,gender_hist):
print('writing to csv ads file')
time = tweet_data.get(tweet_data.keys()[0])
time2 = time[2].split()
date = (time2[1]+' '+time2[2]+' '+time2[3])
writer = csv.writer(open(filename+'hastag'+'.csv', 'wb'))
writer.writerow(['total ads',len(tweet_data),'total people',len(tweet_list),'tom',time2[0],'date',date])
writer.writerow(['hashtag','hashtag count','hash unique users', 'hash giveaway','language','language count','gender','gender count'])
sorted_hash = sorted(hashtags.items(), key=lambda x: x[1], reverse=True)
sorted_tweeters = sorted(tweet_list.items(), key = lambda x: x[1], reverse=True)
for k in range(0,len(hashtags)) :
if (k < len(hashtags)) :
str1 = sorted_hash[k][0].encode('utf-8') #hashtags.keys()[k].encode('utf-8')
# val = sorted_hash[k][1][0] #str(hashtags.get(hashtags.keys()[k],-1))
str2 = sorted_hash[k][1][0]
str2a = sorted_hash[k][1][1]
str2b = sorted_hash[k][1][2]
else :
str1 = ' '
str2 = ' '
str2a = ' '
str2b = ' '
if k < len(lang_hist) :
val = lang_hist.get(lang_hist.keys()[k])
str14 = lang_hist.keys()[k]
str15 = lang_hist.get(lang_hist.keys()[k])
else :
str14 = ' '
str15 = ' '
if k < len(gender_hist):
str16 = gender_hist.keys()[k]
str17 = gender_hist.get(gender_hist.keys()[k])
else :
str16 = ' '
str17 = ' '
writer.writerow([str1,str2,str2a,str2b,str14,str15,str16,str17])
def writeCSVhashdata(filename,hashtags,tweet_hash_data,tweet_data,tweet_list):
print('writing to csv tweet_hash_data file')
time = tweet_data.get(tweet_data.keys()[0])
time2 = time[2].split()
date = (time2[1]+' '+time2[2]+' '+time2[3])
writer = csv.writer(open(filename+'tweethash'+'.csv', 'wb'))
writer.writerow(['total ads',len(tweet_data),'total people',len(tweet_list),'day of the week',time2[0],'date',date])
writer.writerow(['hashtag','tot hash count','user_id','user_name','count times used', 'count giveaways','followers','following','total tweets','language','gender'])
sorted_hash = sorted(hashtags.items(), key=lambda x: x[1], reverse=True)
for k in range(0,len(sorted_hash)) :
tag = sorted_hash[k][0]
tot = sorted_hash[k][1][0]
for l in tweet_hash_data[tag] :
val = tweet_hash_data[tag][l]
user_id = l
user_name = val[0]
count = val[1]
giveaway = val[2]
followers = val[3]
following = val[4]
tot_tweets = val[5]
lang = val[6]
gender = val[7]
writer.writerow([tag.encode('utf-8'),tot,user_id,user_name,count,giveaway,followers,following,tot_tweets,lang,gender])
def main():
path = sys.argv[-3] #'/Users/bertasandberg/Development/pythonCode/2014-03-17'
start = sys.argv[-2]
end = sys.argv[-1]
start_date = datetime.strptime(str(start),"%Y-%m-%d")
end_date = datetime.strptime(end,"%Y-%m-%d")
print(start_date)
print(end_date)
#print(path,start,end)
#dirlist = os.listdir(path)
#print(path)
#print(dirlist)
hashtags = dict() #uniqu hashtags
hash_list = [] #list of all hashtags
tweet_list = dict() #list of unique users who tweeted ads today
tweet_data = dict() #list of tweet data per user and time it was tweeted
tweet_hash_data = dict() #list of users and all the hashtags they used that had to do with ads
lang_hist = dict() #histogram data for languages use
gender_hist = dict() #histogram data for
ad_count = 0 #number of ads for the day
file_count = 0
user_hash_use = dict()
#for list in dirlist:
d = start_date
delta = timedelta(days=1)
while d <= end_date :
current_date = d.strftime("%Y-%m-%d")
print(current_date)
filename = os.path.join(path,current_date)
print(filename)
list2 = os.listdir(filename)
for key in list2:
filename2 = os.path.join(filename,key)
# filename = os.path.join(path,key)
file_count = file_count +1
with open(filename2) as json_file:
json_data = json.load(json_file)
for k in range(0,len(json_data["interactions"])):
ad_count = ad_count + 1
val = json_data["interactions"][k]["twitter"]
user_val = json_data["interactions"][k]["twitter"]["user"]["id"]
if 'hashtags' in val.keys() :
hash_val =json_data["interactions"][k]["twitter"]["hashtags"]
giveaway = 0
if ('Giveaway' in hash_val or 'Giveaways' in hash_val or 'giveaway' in hash_val or 'giveaways' in hash_val) :
giveaway=1
user_name = json_data["interactions"][k]["twitter"]["user"]["screen_name"]
language = json_data["interactions"][k]["twitter"]["user"]["lang"]
if language in lang_hist :
lang_hist[language] = lang_hist[language] +1
else :
lang_hist.setdefault(language)
lang_hist[language] = 1
time = json_data["interactions"][k]["twitter"]["created_at"]
time2 = time.split(); #we want 4th value in array for utc time
twitter_created = json_data["interactions"][k]["twitter"]["user"]["created_at"]
gender = "empty"
if 'demographic' in json_data["interactions"][k].keys() :
gender = json_data["interactions"][k]["demographic"]["gender"]
tag = gender.lower()
if tag in gender_hist :
gender_hist[tag] = gender_hist[tag] +1
else :
gender_hist.setdefault(tag)
gender_hist[tag] = 1
followers = json_data["interactions"][k]["twitter"]["user"]["followers_count"]
following = json_data["interactions"][k]["twitter"]["user"]["friends_count"]
favourite = -1.0
if 'favourites_count' in json_data["interactions"][k]["twitter"]["user"] :
favourite = json_data["interactions"][k]["twitter"]["user"]["favourites_count"]
tag = str(ad_count)
tweet_data.setdefault(tag,[])
tweet_data[tag].append(user_val)
tweet_data[tag].append(user_name)
tweet_data[tag].append(time)
#tweet_data[tag].append(favourite)
tag = user_val;
if tag in tweet_list :
tweet_list[tag][0]=tweet_list[tag][0]+1
else :
tweet_list.setdefault(tag,[])
tweet_list[tag].append(1)
tweet_list[tag].append(user_name)
tweet_list[tag].append(followers)
tweet_list[tag].append(following)
tweet_list[tag].append(favourite)
tweet_list[tag].append(gender)
tweet_list[tag].append(language)
status = -1.0
if 'statuses_count' in json_data["interactions"][k]["twitter"]["user"] :
status = json_data["interactions"][k]["twitter"]["user"]["statuses_count"]
for l in range(0,len(hash_val)) :
tag = hash_val[l].lower()
#print tag
if tag in hashtags :
hashtags[tag][0]=hashtags[tag][0]+1
if user_val not in tweet_hash_data[tag] :
hashtags[tag][1] +=1
# tweet_hash_data[tag].append(user_val)
tweet_hash_data[tag].setdefault(user_val,[])
tweet_hash_data[tag][user_val].append(user_name)
tweet_hash_data[tag][user_val].append(1)
tweet_hash_data[tag][user_val].append(1)
tweet_hash_data[tag][user_val].append(followers)
tweet_hash_data[tag][user_val].append(following)
tweet_hash_data[tag][user_val].append(status)
tweet_hash_data[tag][user_val].append(language)
tweet_hash_data[tag][user_val].append(gender)
hashtags[tag][2] +=giveaway
else :
tweet_hash_data[tag][user_val][1] +=1
tweet_hash_data[tag][user_val][2] +=giveaway
else :
hashtags.setdefault(tag,[])
hashtags[tag].append(1)
hashtags[tag].append(1)
hashtags[tag].append(1)
tweet_hash_data.setdefault(tag,{}).setdefault(user_val,[])
#tweet_hash_data[tag].append(user_val)
tweet_hash_data[tag][user_val].append(user_name)
tweet_hash_data[tag][user_val].append(1)
tweet_hash_data[tag][user_val].append(1)
tweet_hash_data[tag][user_val].append(followers)
tweet_hash_data[tag][user_val].append(following)
tweet_hash_data[tag][user_val].append(status)
tweet_hash_data[tag][user_val].append(language)
tweet_hash_data[tag][user_val].append(gender)
hash_list.append(tag)
d += delta
outputfile = start+' '+end #sys.argv[-1]
writeCSVads(outputfile,hashtags,tweet_list,tweet_data,lang_hist,gender_hist)
#writeCSVpeople(outputfile,hashtags,hash_list,tweet_list,tweet_data,lang_hist,gender_hist)
#writeCSV(outputfile,hashtags,hash_list,tweet_list,tweet_data,lang_hist,gender_hist," ")
writeCSVhashdata(outputfile,hashtags,tweet_hash_data,tweet_data,tweet_list)
main()
sys.exit()