def getTweets():
time_per_100 = []
fetch_count = 0
avg_time_per_fetch = 0
tweet_count = 0
modified_at = None
# disable all HTTPS/TLS warnings
urllib3.disable_warnings()
# load api keys from api_keys.json
keys_file_path = os.path.join(project_root, 'Key', 'api_keys.json')
with open(keys_file_path) as api_keys:
keys = json.load(api_keys)
# obtain multiple instances of Twitter API to circumvent rate limit
authList = []
apiList = []
for i in range(len(keys)):
authList[i] = tweepy.OAuthHandler(keys[i]['consumer_key'], keys[i]['consumer_secret'])
authList[i].set_access_token(keys[i]['access_token'], keys[i]['access_token_secret'])
apiList[i] = tweepy.API(authList[i])
# db_path = os.path.join(os.path.dirname(__file__), os.pardir, 'Data/tweet_ids')
# connect to DB
db = connect('Shit_db')
# drop the database once to ensure whenever the thread is run, we create the db afresh
db.drop_database('Shit_db')
t0 = time.time()
no_of_tweets = 0
total_no_of_tweets = 0
# news channel IDs
# user_id = [34908698,362051343,361501426,7905122,180306960,30857481,28370738,110458336,2883841,28172926,30261067,20562637,113050195,28140646,621523,35773039,15164565,15861355,44316192,44078873,15861220,1642135962,28137012,38400130,32355144,122097236,19230601,713993413,7302282,16877611,2557521,26257166,15110357,4898091,34713362,18949452,32359921,16334857,59736898,214007688,129834917,15108702,39817941,375721095,2424208849,506504366,242689065,116559622,23484039,18424289,64643056,115754870,134758540,6509832,267158021,29958928,15954704,19897138,37034483,36327407,20751449,3123883238,240649814,31632905,177829660,256495314,39743812,245687754,38647512,355989081,98362607,17710740,39240673,17469289,16973333,87818409,18071358,9763482,87416722,4970411,7587032,788524,14173315,612473,28785486,2467791,15012486,5988062,1367531,759251,428333,6017542,3108351,51241574,1652541,14293310,807095,742143,5402612]
# non news channel IDs
user_id = [79708561,281766200,785493949,250205792,180463340,3060210854,2305049443,273181052,2463499796,71876190,26642006,92367751,259379883,399428964,26565946,24494557,166739404,52551600,25365536,15485441,15846407,14234323,125481462,27042513,133880286,243284052,44588485,51376979,27260086,17919972,18625669,16409683,21447363,58135085,23375688,92724677,30973,50374439,48410093,57928790,87170183,102957248,108391251,120998613,115622213,113419517,6463042,94775494,131975194,97865628,79915337,332188446,41067945,197150180,78022296,31348594,902534288,108253263,63390627,145125358,78242874,468479147,36057824,34464376,111871312,152251488,121677709,38403110,21787625,494747331,94163409,44849431,18872373,105710210,148248527,38479920,508932270,183230911,186388502,101311381,70652594,2719753171,23976386,23002923,33868638,16548023,40453512,18681139,279449435,144755081,132385468,54829997,266714730,108252113,3138637447,1111706414,61755650,14120922,216447259,129786468]
print "No of users={0}".format(len(user_id))
last_id = [None for i in range(len(user_id))]
number = 0
rate_limit = 180
no_of_requests = 0
tweet_list = []
k = 0 # current_api_index
api_wait_end_time = time.time() # stores timestamp till when the first API might have to wait
while(total_no_of_tweets < 3200 * len(user_id)):
try:
status_obj = apiList[k].user_timeline(user_id = user_id[number], count = 200, max_id = last_id[number])
# print "fetched {0} tweets".format(len(status_obj))
no_of_requests += 1
for status in status_obj:
tweet = Tweet()
tweet.tweet_id = status.id_str
tweet.text = status.text
tweet.created_at = status.created_at
tweet.in_reply_to_status_id = status.in_reply_to_status_id_str
tweet.user_id = status.user.id_str
tweet.user_name = status.user.name
tweet.user_followers = status.user.followers_count
tweet.user_location = status.user.location
tweet.favourites_count = status.user.favourites_count
if status.coordinates is not None:
tweet.coordinates = status.coordinates['coordinates']
tweet.language = status.lang
# tweet.place_coordinates = status['']
tweet.retweet_count = status.retweet_count
tweet.retweeted = status.retweeted
# tweet.inserted_at
tweet.is_news = True
# tweet.save()
tweet_list.append(tweet)
no_of_tweets = no_of_tweets + 1
total_no_of_tweets = total_no_of_tweets + 1
last_id[number] = tweet.tweet_id
#print(tweet.user_name)
# print "last id={0}".format(last_id[number])
# print "total no of tweets {0}".format(no_of_tweets)
if no_of_requests%100 == 0:
print "{0} tweets fetched".format(total_no_of_tweets)
if(no_of_tweets >= 3200):
print "Saving Tweets to DB"
# save tweets to db
Tweet.objects.insert(tweet_list)
tweet_list = []
number += 1
# if we have fetched tweets for every user, just return
if number > len(user_id):
return
number = number % len(user_id)
print "moved to {0} user".format(number)
no_of_tweets = 0
except tweepy.RateLimitError:
print "Saving Tweets to DB"
# save tweets to db
Tweet.objects.insert(tweet_list)
tweet_list = []
if k == len(apiList) - 1:
if api_wait_end_time < time.time():
# we dont need to wait, so pass
pass
else:
sleep_time = api_wait_end_time - time.time()
print "create_db: sleeping for {0} seconds".format(sleep_time)
time.sleep(sleep_time)
k = (k + 1) % len(apiList)
if k == 0:
# update api_wait_end_time
api_wait_end_time = time.time() + 15*60
# print("Going to Sleep")
# print no_of_requests
# t0 = time.time() - t0
# if t0 > 16*60:
# print "sleeping for {0} sec".format(15*60)
# time.sleep(15*60)
# else:
# print "sleeping for {0} sec".format(16*60 - t0)
# time.sleep(16*60 - t0)
# t0 = time.time()
except Exception as e:
print("exception came")
print(str(e))
time.sleep(15 * 60)
t0 = time.time() - t0
t0 = t0/60
print(t0)
return
def scrapeTweets():
time_per_100 = []
fetch_count = 0
avg_time_per_fetch = 0
tweet_count = 0
target = 1000000
modified_at = None
# disable all HTTPS/TLS warnings
urllib3.disable_warnings()
# load api keys from api_keys.json
keys_file_path = os.path.join(os.path.dirname(__file__), os.pardir, 'api_keys.json')
with open(keys_file_path) as api_keys:
keys = json.load(api_keys)
# provide auth params & obtain an instance of API
auth = tweepy.OAuthHandler(keys['consumer_key'], keys['consumer_secret'])
auth.set_access_token(keys['access_token'], keys['access_token_secret'])
api = tweepy.API(auth)
db_path = os.path.join(os.path.dirname(__file__), os.pardir, 'Data/tweet_ids')
# connect to DB
db = connect('Tweets')
# drop the database once to ensure whenever the thread is run, we create the db afresh
db.drop_database('Tweets')
tweet_id_list = []
with open(db_path) as file_db:
t0 = time.time()
for line in file_db:
status_obj = None
tweet_id = line.split("\t")[0]
tweet_id_list.append(tweet_id)
if(len(tweet_id_list) == 100):
try:
status_obj = api.statuses_lookup(tweet_id_list, [False], [False], [True])
for status in status_obj:
tweet = Tweet()
tweet.tweet_id = status.id_str
tweet.text = status.text
tweet.created_at = status.created_at
tweet.in_reply_to_status_id = status.in_reply_to_status_id_str
tweet.user_id = status.user.id_str
tweet.user_name = status.user.name
tweet.user_followers = status.user.followers_count
tweet.user_location = status.user.location
tweet.favourites_count = status.user.favourites_count
if status.coordinates is not None:
tweet.coordinates = status.coordinates['coordinates']
tweet.language = status.lang
# tweet.place_coordinates = status['']
tweet.retweet_count = status.retweet_count
tweet.retweeted = status.retweeted
# tweet.inserted_at
tweet.is_news = None
tweet.save()
t1 = time.time()
time_per_100.append(t1-t0)
fetch_count = fetch_count + 1
avg_time_per_fetch = sum(time_per_100)/len(time_per_100)
tweet_count += len(status_obj)
modified_at = datetime.datetime.now().strftime('%H:%M:%S %d-%m-%Y')
print("Scraped {0} tweets, Total ={1} tweets".format(
len(status_obj), tweet_count))
# save all the stats to REDIS
r.set('tweet_count', tweet_count)
r.set('avg_time_per_fetch', avg_time_per_fetch)
r.set('fetch_count', fetch_count)
r.set('modified_at', modified_at)
# r.set('target', target)
except tweepy.RateLimitError:
print("Going to Sleep")
time.sleep(15 * 60)
except Exception as e:
print(str(e))
time.sleep(15 * 60)
finally:
def getTweets():
time_per_100 = []
fetch_count = 0
avg_time_per_fetch = 0
tweet_count = 0
modified_at = None
# disable all HTTPS/TLS warnings
urllib3.disable_warnings()
# load api keys from api_keys.json
keys_file_path = os.path.join(project_root, 'Key', 'api_keys.json')
with open(keys_file_path) as api_keys:
keys = json.load(api_keys)
# obtain multiple instances of Twitter API to circumvent rate limit
authList = []
apiList = []
for i in range(len(keys)):
authList[i] = tweepy.OAuthHandler(keys[i]['consumer_key'],
keys[i]['consumer_secret'])
authList[i].set_access_token(keys[i]['access_token'],
keys[i]['access_token_secret'])
apiList[i] = tweepy.API(authList[i])
# db_path = os.path.join(os.path.dirname(__file__), os.pardir, 'Data/tweet_ids')
# connect to DB
db = connect('Shit_db')
# drop the database once to ensure whenever the thread is run, we create the db afresh
db.drop_database('Shit_db')
t0 = time.time()
no_of_tweets = 0
total_no_of_tweets = 0
# news channel IDs
# user_id = [34908698,362051343,361501426,7905122,180306960,30857481,28370738,110458336,2883841,28172926,30261067,20562637,113050195,28140646,621523,35773039,15164565,15861355,44316192,44078873,15861220,1642135962,28137012,38400130,32355144,122097236,19230601,713993413,7302282,16877611,2557521,26257166,15110357,4898091,34713362,18949452,32359921,16334857,59736898,214007688,129834917,15108702,39817941,375721095,2424208849,506504366,242689065,116559622,23484039,18424289,64643056,115754870,134758540,6509832,267158021,29958928,15954704,19897138,37034483,36327407,20751449,3123883238,240649814,31632905,177829660,256495314,39743812,245687754,38647512,355989081,98362607,17710740,39240673,17469289,16973333,87818409,18071358,9763482,87416722,4970411,7587032,788524,14173315,612473,28785486,2467791,15012486,5988062,1367531,759251,428333,6017542,3108351,51241574,1652541,14293310,807095,742143,5402612]
# non news channel IDs
user_id = [
79708561, 281766200, 785493949, 250205792, 180463340, 3060210854,
2305049443, 273181052, 2463499796, 71876190, 26642006, 92367751,
259379883, 399428964, 26565946, 24494557, 166739404, 52551600,
25365536, 15485441, 15846407, 14234323, 125481462, 27042513, 133880286,
243284052, 44588485, 51376979, 27260086, 17919972, 18625669, 16409683,
21447363, 58135085, 23375688, 92724677, 30973, 50374439, 48410093,
57928790, 87170183, 102957248, 108391251, 120998613, 115622213,
113419517, 6463042, 94775494, 131975194, 97865628, 79915337, 332188446,
41067945, 197150180, 78022296, 31348594, 902534288, 108253263,
63390627, 145125358, 78242874, 468479147, 36057824, 34464376,
111871312, 152251488, 121677709, 38403110, 21787625, 494747331,
94163409, 44849431, 18872373, 105710210, 148248527, 38479920,
508932270, 183230911, 186388502, 101311381, 70652594, 2719753171,
23976386, 23002923, 33868638, 16548023, 40453512, 18681139, 279449435,
144755081, 132385468, 54829997, 266714730, 108252113, 3138637447,
1111706414, 61755650, 14120922, 216447259, 129786468
]
print "No of users={0}".format(len(user_id))
last_id = [None for i in range(len(user_id))]
number = 0
rate_limit = 180
no_of_requests = 0
tweet_list = []
k = 0 # current_api_index
api_wait_end_time = time.time(
) # stores timestamp till when the first API might have to wait
while (total_no_of_tweets < 3200 * len(user_id)):
try:
status_obj = apiList[k].user_timeline(user_id=user_id[number],
count=200,
max_id=last_id[number])
# print "fetched {0} tweets".format(len(status_obj))
no_of_requests += 1
for status in status_obj:
tweet = Tweet()
tweet.tweet_id = status.id_str
tweet.text = status.text
tweet.created_at = status.created_at
tweet.in_reply_to_status_id = status.in_reply_to_status_id_str
tweet.user_id = status.user.id_str
tweet.user_name = status.user.name
tweet.user_followers = status.user.followers_count
tweet.user_location = status.user.location
tweet.favourites_count = status.user.favourites_count
if status.coordinates is not None:
tweet.coordinates = status.coordinates['coordinates']
tweet.language = status.lang
# tweet.place_coordinates = status['']
tweet.retweet_count = status.retweet_count
tweet.retweeted = status.retweeted
# tweet.inserted_at
tweet.is_news = True
# tweet.save()
tweet_list.append(tweet)
no_of_tweets = no_of_tweets + 1
total_no_of_tweets = total_no_of_tweets + 1
last_id[number] = tweet.tweet_id
#print(tweet.user_name)
# print "last id={0}".format(last_id[number])
# print "total no of tweets {0}".format(no_of_tweets)
if no_of_requests % 100 == 0:
print "{0} tweets fetched".format(total_no_of_tweets)
if (no_of_tweets >= 3200):
print "Saving Tweets to DB"
# save tweets to db
Tweet.objects.insert(tweet_list)
tweet_list = []
number += 1
# if we have fetched tweets for every user, just return
if number > len(user_id):
return
number = number % len(user_id)
print "moved to {0} user".format(number)
no_of_tweets = 0
except tweepy.RateLimitError:
print "Saving Tweets to DB"
# save tweets to db
Tweet.objects.insert(tweet_list)
tweet_list = []
if k == len(apiList) - 1:
if api_wait_end_time < time.time():
# we dont need to wait, so pass
pass
else:
sleep_time = api_wait_end_time - time.time()
print "create_db: sleeping for {0} seconds".format(
sleep_time)
time.sleep(sleep_time)
k = (k + 1) % len(apiList)
if k == 0:
# update api_wait_end_time
api_wait_end_time = time.time() + 15 * 60
# print("Going to Sleep")
# print no_of_requests
# t0 = time.time() - t0
# if t0 > 16*60:
# print "sleeping for {0} sec".format(15*60)
# time.sleep(15*60)
# else:
# print "sleeping for {0} sec".format(16*60 - t0)
# time.sleep(16*60 - t0)
# t0 = time.time()
except Exception as e:
print("exception came")
print(str(e))
time.sleep(15 * 60)
t0 = time.time() - t0
t0 = t0 / 60
print(t0)
return
def scrapeTweets():
print 'entered scrapeTweets'
# disable all HTTPS/TLS warnings
urllib3.disable_warnings()
global total_tweets_retrieved
# load api keys from api_keys.json
keys_file_path = os.path.join(os.path.dirname(__file__), os.pardir, 'api_keys.json')
with open(keys_file_path) as api_keys:
keys = json.load(api_keys)
# provide auth params & obtain an instance of API
auth = tweepy.OAuthHandler(keys['consumer_key'], keys['consumer_secret'])
auth.set_access_token(keys['access_token'], keys['access_token_secret'])
api = tweepy.API(auth)
relevant_tweet_ids_path = os.path.join(os.path.dirname(__file__), os.pardir, 'Data/relevance_judgments')
# connect to DB
db = connect('Tweets')
with open(relevant_tweet_ids_path) as relevant_tweet_ids:
print 'opened relevance_judgments'
t0 = time.time()
for line in relevant_tweet_ids:
status_obj = None
tweet_id = line.split(" ")[0]
tweets = Tweet.objects(tweet_id=tweet_id).all()
# fetch tweet only if it doesnt exist
if tweets.count() == 0:
# if it doesn't exist, fetch from Twitter
try:
print "Fetching tweet={0}".format(tweet_id)
status = api.get_status(tweet_id)
print status.id_str
total_tweets_retrieved = total_tweets_retrieved + 1
tweet = Tweet()
tweet.tweet_id = status.id_str
tweet.text = status.text
tweet.created_at = status.created_at
tweet.in_reply_to_status_id = status.in_reply_to_status_id_str
tweet.user_id = status.user.id_str
tweet.user_name = status.user.name
tweet.user_followers = status.user.followers_count
tweet.user_location = status.user.location
tweet.favourites_count = status.user.favourites_count
if status.coordinates is not None:
tweet.coordinates = status.coordinates['coordinates']
tweet.language = status.lang
# tweet.place_coordinates = status['']
tweet.retweet_count = status.retweet_count
tweet.retweeted = status.retweeted
# tweet.inserted_at
tweet.is_news = True
tweet.save()
except tweepy.RateLimitError:
print("Going to Sleep")
time.sleep(15 * 60)
print status.id_str
except Exception as e:
print str(e)
else:
# if it does exist, then just label it as news
for t in tweets:
t.is_news = True
t.save()
print "Total Time={0}".format(time.time()-t0)
print "Total Tweets={0}".format(total_tweets_retrieved)