def search(search):
twitter_utils = twitter.Twitter()
credentials = session.get('credentials')
search = [search]
try:
tso = TwitterSearchOrder()
tso.set_language('en')
tso.set_keywords(search)
tso.set_include_entities(False) #Remove later if u want to use images
query = TwitterSearch(consumer_key=session['consumer_key'],
consumer_secret=session['consumer_secret'],
access_token=session['token'],
access_token_secret=session['token_secret'])
response = query.search_tweets(tso)
t_range = datetime.now(pytz.utc) - timedelta(minutes=TIME_RANGE)
tweets = [
t for t in response['content']['statuses']
if twitter_utils.get_date(t) >= t_range
]
print("Current rate-limiting status: " +
str(query.get_metadata()['x-rate-limit-reset']))
return render_template(
"page.html",
search=search,
tweets=tweets,
music_config=twitter_utils.get_music_config(tweets))
except TwitterSearchException as e:
return str(e)
def twitSearch(tweetLastSeen):
#print("Debug: In function twitSearch()")
tweetSearchCount = 0
try:
tso = TwitterSearchOrder()
#tso.set_keywords(['disaster','banking'], or_operator = True)
tso.set_keywords(['disaster','poverty','banking','homeless'], or_operator = True)
#tso.add_keyword('poverty')
#tso.add_keyword('disaster')
#tso.add_keyword('banking')
tso.set_language('en')
tso.set_include_entities(False)
tso.set_result_type('recent')
if tweetLastSeen > 0:
print("Debug: I have a previous value for lastseen_id, setting since_id() to: %s and asking for 100 results" % tweetLastSeen)
tso.set_since_id(tweetLastSeen)
tso.set_count(100)
else:
print("Debug: No value for lastseen_id, asking for one result")
tso.set_count(1)
print("Debug: The tso search string looks like this")
print(tso.create_search_url())
ts = TwitterSearch(
consumer_key = '',
consumer_secret = '',
access_token = '',
access_token_secret = '')
## def my_callback_function(current_ts_instance): # accepts ONE argument: an instance of TwitterSearch
## #print("In callback function")
## queries, tweets_seen = current_ts_instance.get_statistics()
## #query = current_ts_instance.get_statistics()
## print("%s queries & %s tweets seen" %(queries, tweets_seen))
## print("%s query" %(query))
## #if queries > 0 and (queries % 5) == 0: # trigger delay every 5th query
## #print("Thats 5 queries. Sleeping for 60 secs")
## #time.sleep(60) # sleep for 60 seconds
#queries, tweets_seen = ts.get_statistics()
#print("Debug: %s queries & %s tweets seen" %(queries, tweets_seen))
#print("Debug: About to iterate over search results from TwitterSearch instance")
#for tweet in ts.search_tweets_iterable(tso, callback=my_callback_function):
tweets_seen = 0
currentTweetID = 0
lastTweetID = 0
for tweet in ts.search_tweets_iterable(tso):
queries, tweets_seen_by_stats = ts.get_statistics()
print("Debug: stats: %s queries & %s tweets seen" %(queries, tweets_seen_by_stats))
rateLimitRemaining = ts.get_metadata()['x-rate-limit-remaining']
rateLimitReset = ts.get_metadata()['X-Rate-Limit-Reset']
print("Debug: Rate limit resets at %s and has %s queries remaining" %(datetime.datetime.fromtimestamp(int(rateLimitReset)), rateLimitRemaining))
currentTweetID = tweet['id']
print("Debug: Current tweetID %s" % currentTweetID)
if currentTweetID > lastTweetID:
print("Debug: Seen a more recent tweetID, updating lastTweetID")
lastTweetID = currentTweetID
tweets_seen = tweets_seen_by_stats
break
print( 'Debug: In tweet iter @%s tweet id: %s' % ( tweet['user']['screen_name'], tweet['id'] ) )
tweets_seen = tweets_seen + 1
print("Debug: tweets_seens: %s" % tweets_seen)
print('Debug: about to return tweet ID @%s' % lastTweetID )
global twitterSearchCount
twitterSearchCount = twitterSearchCount + 1
print("Debug: This is twitter search number: %s" % twitterSearchCount)
return lastTweetID, tweets_seen
except TwitterSearchException as e:
print(e)
class JCrawler(object):
'Twitter crawler for Japanese tweets'
tso = TwitterSearchOrder()
ts = None
con = None
cursor = None
DAILY_THRESHOLD = 50
IDLE_SLEEP_TIME = 60
total_api_queries = 0
queries_processed = 0
total_tweets_grabbed = 0
max_tweets = -1
global_min_id = -1
global_max_id = -1
depth = 10
seed_keywords_array = None
logfile = None
exact_tweet_re = re.compile('^RT @')
queries_to_update = 0
consumer_key = ''
consumer_secret = ''
access_token = ''
access_token_secret = ''
def __init__(self, consumer_key, consumer_secret, access_token, access_token_secret, seed_keywords_array=None, depth=1000,
global_min_id=-1, global_max_id=-1, max_tweets=-1):
# self.load_settings()
self.depth = depth
self.seed_keywords_array = seed_keywords_array
self.global_max_id = global_max_id
self.global_min_id = global_min_id
self.max_tweets = max_tweets
self.consumer_key = consumer_key
self.consumer_secret = consumer_secret
self.access_token = access_token
self.access_token_secret = access_token_secret
# Open the logfile
self.logfile = codecs.open("log/tweetlog", 'a', encoding='utf-8')
if self.max_tweets == -1:
self.max_tweets = float("inf")
# def load_settings(self, filepath=""):
# if(filepath == ""):
# filepath = "settings.cfg"
# config = ConfigParser.RawConfigParser()
# config.read(filepath)
def log(self, message):
# print(message)
self.logfile.write(message)
def get_old_queries_from_DB(self):
self.checkConnection()
db_query = u"""SELECT * FROM `queries` WHERE
`next_update` <= %s AND total_updates > 0"""
dict_cursor = self.con.cursor(pymysql.cursors.DictCursor)
dict_cursor.execute(db_query,
[int(time.time())])
self.queries_to_update += dict_cursor.rowcount
# Get the results
rows = dict_cursor.fetchall()
# query_array = []
# for row in rows:
# query_array.append(row)
return rows
def update_queries(self):
query_array = self.get_old_queries_from_DB()
for query in query_array:
if(self.total_tweets_grabbed >= self.max_tweets):
break
if "min_id" in query:
min_id = query["min_id"]
else:
min_id = None
if "max_id" in query:
max_id = query["max_id"]
else:
max_id = None
num_tweets_fetched = scrape_search_query(query, self.depth, min_id, max_id)
calculate_next_update(query, num_tweets_fetched)
def get_new_queries_from_DB(self):
self.checkConnection()
db_query = u"""SELECT * FROM `queries`
WHERE `next_update` <= %s AND total_updates = 0"""
dict_cursor = self.con.cursor(pymysql.cursors.DictCursor)
dict_cursor.execute(db_query,
[int(time.time())])
self.queries_to_update += dict_cursor.rowcount
# Get the results
rows = dict_cursor.fetchall()
return rows
def process_new_queries(self, query_string_array=None):
if(query_string_array is None):
query_array = self.get_new_queries_from_DB()
else:
query_array = []
for string in query_string_array:
query_array.append({'query': string})
for query in query_array:
if(self.total_tweets_grabbed >= self.max_tweets):
break
num_tweets_fetched = self.scrape_search_query(query, self.depth)
self.calculate_next_update(query, num_tweets_fetched)
def connect_DB(self, host, dbuser, dbpass, dbname):
try:
conn = pymysql.connect(host,
dbuser,
dbpass,
dbname,
charset='utf8mb4',
use_unicode=True,
init_command="set names utf8mb4")
testcursor = conn.cursor()
testcursor.execute("SELECT VERSION()")
results = testcursor.fetchone()
# Check if anything at all is returned
if results:
self.log('Connected to DB, version: %s' % results)
else:
self.log('Connected to DB failed')
# Disable binary logging to save space
testcursor.execute("SET sql_log_bin = 0")
results = testcursor.fetchone()
testcursor.execute("SET NET_WRITE_TIMEOUT = 2147480")
results = testcursor.fetchone()
testcursor.execute("SET WAIT_TIMEOUT = 2147480")
results = testcursor.fetchone()
self.con = conn
return conn
except pymysql.Error as e:
self.log("\nError %d: %s" % (e.args[0], e.args[1]))
def start(self):
try:
# self.log('Connected to DB: %s' % self.con.info())
# while True:
while self.total_tweets_grabbed < self.max_tweets:
self.ReportStatus(1)
self.log("\nUpdating old queries")
self.update_queries()
self.log("\nProcessing new queries")
if(self.seed_keywords_array is not None):
self.process_new_queries(self.seed_keywords_array)
# Only process seed keywords once
self.seed_keywords_array = None
else:
self.process_new_queries()
# Keep script from wasting DB resources continually checking for queries to update
if(self.queries_to_update == 0):
self.ReportStatus(0)
time.sleep(self.IDLE_SLEEP_TIME)
# while AnalysisIsRunning():
# self.ReportStatus(0)
# time.sleep(self.IDLE_SLEEP_TIME)
if (not self.con.open):
self.con = self.connect_DB('localhost',
'root',
'preyfromslyfluxlinus',
'jcrawler')
#self.queries_to_update = 0
except TwitterSearchException as e:
if(e.code == 420):
self.log("\nBlaze it for a hot sec: we're being rate limited. Waiting 15 minutes...")
self.ReportStatus(2)
time.sleep(900)
self.log("\nAttempting to restart scrape process...")
return self.scrape_search_query(search_query, depth, min_id, max_id)
elif(e.code == 403 or e.code == 503):
self.log("\nTwitter is either experiencing high load or we are being rate limited. Waiting 1 hour...")
self.ReportStatus(2)
time.sleep(3600)
self.log("\nAttempting to restart scrape process...")
return self.scrape_search_query(search_query, depth, min_id, max_id)
else:
# self.log(e)
logging.exception("TwitterSearch had an error:")
print(e)
except pymysql.Error as e:
self.log("\nError %d: %s" % (e.args[0], e.args[1]))
else:
self.log("\nQuitting")
if self.con:
self.con.close()
if self.logfile:
self.logfile.close()
def restart(self):
if(self.con.open):
self.con.close()
self.cursor = None
self.total_tweets_grabbed = 0
self.logfile = codecs.open("log/tweetlog", 'a', encoding='utf-8')
self.start()
def checkConnection(self):
if(self.con is None or not self.con.open):
self.con = self.connect_DB('localhost',
'root',
'preyfromslyfluxlinus',
'jcrawler')
self.cursor = self.con.cursor()
def ReportStatus(self, status, msg=""):
'Posts info about queries processed, currently processing, etc.'
self.checkConnection()
app = "jcrawler"
if(status == 1): # Currently running
variable = "processing"
value = "1"
elif(status == 0): # Done running
variable = "processing"
value = "0"
elif(status == 2):
# Sleeping
variable = "processing"
value = "2"
controlQuery = u"""INSERT INTO `control`(`app`, `variable`, `value`) VALUES(%s,%s,%s)
ON DUPLICATE KEY UPDATE value=VALUES(value)"""
progressQuery = u"""INSERT INTO `progress`(`app`, `processed`) VALUES(%s, %s)
"""
reportcursor = self.con.cursor()
reportcursor.execute(controlQuery, (app, variable, value))
reportcursor.execute(progressQuery, (app, self.total_tweets_grabbed))
self.con.commit()
reportcursor.close()
def AnalysisIsRunning():
self.checkConnection()
isRunning = False
statusQuery = u"""
SELECT `value` FROM `control` WHERE `app`='lexicalyzer' AND `variable`='processing'
"""
statuscursor = self.con.cursor()
statuscursor.execute(statusQuery)
value = self.cursor.fetchone()
if(value[0] > 0):
isRunning = True
else:
isRunning = False
statuscursor.close()
return isRunning
def add_queries_to_DB(self, query_array):
self.checkConnection()
for query_hash in query_array:
# exist_stmt = u"""
# SELECT * FROM `queries`
# WHERE `sha256_hash`
# =%s
# """
query = query_array[query_hash]
prepstatement = u"""INSERT INTO `queries`(`max_id`,
`min_id`,`query`, `last_update`, `sha256_hash`,
`next_update`, `penalty_level`,
`total_tweets`) VALUES (
%s,%s,%s,%s,%s,%s,%s,
%s) ON DUPLICATE KEY UPDATE max_id=VALUES(max_id),
min_id=VALUES(min_id), last_update=VALUES(last_update)
, next_update=VALUES(next_update), penalty_level=
VALUES(penalty_level), total_tweets=VALUES(total_tweets)"""
# self.log("\nQuery: %s" % query)
self.cursor.execute(prepstatement,
(query["max_id"],
query["min_id"],
query["query"],
query["last_update"],
query["sha256_hash"],
query["next_update"],
query["penalty_level"],
query["total_tweets"]))
def add_query_to_DB(self, query):
prepstatement = u"""INSERT INTO `queries`(`max_id`,
`min_id`,`query`, `last_update`, `sha256_hash`,
`next_update`, `penalty_level`,
`total_tweets`) VALUES (
%s,%s,%s,%s,%s,%s,%s,
%s) ON DUPLICATE KEY UPDATE max_id=VALUES(max_id),
min_id=VALUES(min_id), last_update=VALUES(last_update)
, next_update=VALUES(next_update), penalty_level=
VALUES(penalty_level), total_tweets=VALUES(total_tweets)"""
self.cursor.execute(prepstatement,
(query["max_id"],
query["min_id"],
query["query"],
query["last_update"],
query["sha256_hash"],
query["next_update"],
query["penalty_level"],
query["total_tweets"]))
def is_exact_retweet(self, tweet):
return self.exact_tweet_re.match(tweet["text"]) or tweet["retweeted_status"]["text"] == tweet["text"]
def gen_query_hash(self, query_text):
return hashlib.sha256(query_text.encode("utf8")).hexdigest()
def add_to_queries_list(self, query_text, tweet, queries_array):
query_hash = self.gen_query_hash(query_text)
if query_hash not in queries_array or queries_array[query_hash] is None:
self.log("\nAdding new query to list")
queries_array[query_hash] = {"query": query_text,
"sha256_hash": query_hash,
"max_id": tweet["id"],
"min_id": tweet["id"],
"next_update": int(time.time()),
"penalty_level": 0,
"total_tweets": 1,
"last_update": int(time.time())}
else:
if(tweet["id"] >= queries_array[query_hash]["max_id"]):
queries_array[query_hash]["max_id"] = tweet["id"]
elif(tweet["id"] <= queries_array[query_hash]["min_id"]):
queries_array[query_hash]["min_id"] = tweet["id"]
queries_array[query_hash]["total_tweets"] += 1
queries_array[query_hash]["last_update"] = int(time.time())
def calculate_next_update(self, query, num_tweets_fetched):
if num_tweets_fetched < self.DAILY_THRESHOLD:
if("penalty_level" in query and query["penalty_level"] is not None):
query["penalty_level"] += 1
else:
query["penalty_level"] = 1
# Wait penalty_level days until next update
query["next_update"] = int(time.time()) + (query["penalty_level"] * 24 * 60 * 60)
self.log("\nPenalizing query by %s days. Next update: %s" % (query["penalty_level"], query["next_update"]))
else:
query["penalty_level"] = 0
# Wait one day
query["next_update"] = int(time.time()) + (24 * 60 * 60)
def scrape_search_query(self, search_query, depth, min_id=-1, max_id=-1):
try:
self.log("\nScraping...")
# self.con = connect_DB('localhost',
# 'root',
# 'preyfromslyfluxlinus',
# 'jcrawler')
self.cursor = self.con.cursor()
self.tso.set_keywords([search_query["query"]])
self.tso.set_language('ja') # search for japanese tweets only
self.tso.set_locale('ja')
if(self.global_min_id != -1):
self.tso.set_since_id(self.global_min_id)
elif(min_id != -1):
self.tso.set_since_id(min_id)
if(self.global_max_id != -1):
self.tso.set_max_id(global_max_id)
elif(max_id != -1):
self.tso.set_max_id(max_id)
sleep_time = 1
last_num_of_queries = 0
this_query_total_tweets = 0
new_queries = {}
# it's about time to create a TwitterSearch object with our secret
# tokens
if self.ts is None:
self.ts = TwitterSearch(
consumer_key='lHw0Fte6wfJnzxMrA9nRxqJJN',
consumer_secret='UQmsX0hC9wvuzhaMLZ4OpB'
'FqfI4vYdMrHSNt0FYEmFGcsYU0iK',
access_token='4920693635-jk0qpriUrztwA2'
'a7dOwp4EhQI86qHt4xLbq7uPU',
access_token_secret='3mTFWM8leIXQzaiqnH'
'hwbspN6BzB5O8qMYKDnrgqHCKBz'
)
start = int(time.time())
for tweet in self.ts.search_tweets_iterable(self.tso):
self.ReportStatus(1)
if (('coordinates' in tweet and
tweet["coordinates"] is not None and
'coordinates' in tweet["coordinates"] and
tweet["coordinates"]["coordinates"] and
tweet["coordinates"]["coordinates"][0] is not None)):
has_coordinates = 1
longitude = tweet["coordinates"]["coordinates"][0]
latitude = tweet["coordinates"]["coordinates"][1]
else:
has_coordinates = 0
longitude = 181
latitude = 91
if (('retweeted_status' in tweet and
tweet["retweeted_status"] is not None and
'id' in tweet["retweeted_status"] and
tweet["retweeted_status"]["id"] is not None)):
is_retweet = 1
retweet_id_int = tweet["retweeted_status"]["id"]
retweet_id_str = tweet["retweeted_status"]["id_str"]
if(self.is_exact_retweet(tweet)):
is_exact_retweet = 1
# Don't bother to save exact retweets anymore
continue
else:
is_exact_retweet = 0
else:
is_retweet = 0
retweet_id_int = -1
retweet_id_str = ""
is_exact_retweet = 0
this_query_total_tweets += 1
self.total_tweets_grabbed += 1
# Write to DB
# Prepare and execute raw_tweet query
prepstatement = u"""INSERT INTO `raw_tweets`(`id`, `text`
, `created_at`, `lang`, `retweet_count`, `source`
, `user_id`, `has_coordinates`, `longitude`
, `latitude`, `id_int`, `user_id_int`, `is_retweet`
, `retweet_id_int`, `retweet_id`, `is_exact_retweet`) VALUES (
%s,%s,%s,%s,%s,%s,%s,%s,
%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE id=id"""
self.cursor.execute(prepstatement,
(tweet["id_str"],
tweet["text"],
tweet["created_at"],
tweet["lang"],
tweet["retweet_count"],
tweet["source"],
tweet["user"]["id_str"],
has_coordinates,
longitude,
latitude,
tweet["id"],
tweet["user"]["id"],
is_retweet,
retweet_id_int,
retweet_id_str,
is_exact_retweet))
rawjsonstmt = u"""INSERT INTO `raw_tweets_json`(`id`, `id_int`
, `raw_json`) VALUES (
%s,%s,%s) ON DUPLICATE KEY UPDATE id=id"""
self.cursor.execute(rawjsonstmt,
(tweet["id_str"],
tweet["id"],
json.dumps(tweet)))
# Also store the user data
user = tweet["user"]
userstatement = u"""INSERT INTO `twitter_users`(`user_id`, `created_at`, `description`
, `followers_count`, `friends_count`, `geo_enabled`, `lang`
, `location`
, `name`, `protected`, `screen_name`, `statuses_count`
, `time_zone`
, `url`, `utc_offset`
, `verified`) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s
,%s,%s) ON DUPLICATE KEY UPDATE `description`=
VALUES(`description`)
, `friends_count`=VALUES(`friends_count`)
, `geo_enabled`=VALUES(`geo_enabled`)
, `lang`=VALUES(`lang`)
, `location`=VALUES(`location`)
, `name`=VALUES(`name`)
, `protected`=VALUES(`protected`)
, `screen_name`=VALUES(`screen_name`)
, `statuses_count`=VALUES(`statuses_count`)
, `time_zone`=VALUES(`time_zone`)
, `url`=VALUES(`url`)
, `utc_offset`=VALUES(`utc_offset`)
"""
self.cursor.execute(userstatement,
(user["id_str"],
user["created_at"],
user["description"],
user["followers_count"],
user["friends_count"],
user["geo_enabled"],
user["lang"],
user["location"],
user["name"],
user["protected"],
user["screen_name"],
user["statuses_count"],
user["time_zone"],
user["url"],
user["utc_offset"],
user["verified"]
))
hashtags = tweet["entities"]["hashtags"]
for hashtag in hashtags:
hashtagstatement = u""" INSERT INTO `hashtags`(`tweet_id`
, `hashtag`, `start`
, `end`) VALUES (%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE tweet_id=tweet_id
"""
self.cursor.execute(hashtagstatement, (
tweet["id_str"],
hashtag["text"],
hashtag["indices"][0],
hashtag["indices"][1]
))
self.add_to_queries_list(hashtag["text"], tweet, new_queries)
user_mentions = tweet["entities"]["user_mentions"]
for mention in user_mentions:
mentionstatement = u""" INSERT INTO `mentions`(`tweet_id`
, `user_id`
, `start`
, `end`) VALUES (%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE tweet_id=tweet_id
"""
self.cursor.execute(mentionstatement, (
tweet["id_str"],
mention["id_str"],
mention["indices"][0],
mention["indices"][1]
))
embedded_urls = tweet["entities"]["urls"]
for url in embedded_urls:
url_statement = u"""INSERT INTO `embedded_urls`(
`tweet_id`
, `url`
, `start`
, `end`)
VALUES (%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE tweet_id=tweet_id
"""
self.cursor.execute(url_statement, (
tweet["id_str"],
url["url"],
url["indices"][0],
url["indices"][1]
))
# TODO: Investigate crash due tolack of x-rate-limit-remaining key
if 'x-rate-limit-remaining' in self.ts.get_metadata():
self.log("\nCurrent rate-limiting status: %s" %
self.ts.get_metadata()['x-rate-limit-remaining'])
# self.log('\n@%s tweeted: %s'
# % (tweet['user']['screen_name'], tweet['text']))
self.add_queries_to_DB(new_queries)
# Execute queries for real
self.con.commit()
# if current_num_of_queries is different
# from last_num_of_queries,
# then a new page was loaded by TwitterSearch
current_num_of_queries = self.ts.get_statistics()[0]
if not last_num_of_queries == current_num_of_queries:
# Calculate current query rate
now = int(time.time())
if('x-rate-limit-remaining' in self.ts.get_metadata()):
reset = int(self.ts.get_metadata()['x-rate-limit-reset'])
else:
reset = 0
if((now - start) == 0):
rate = this_query_total_tweets
else:
rate = this_query_total_tweets / (now - start)
self.log("\nCurrent API query rate: %s queries / s" % rate)
self.log("\nCUrrent tweets processed: %s" % self.total_tweets_grabbed)
# Stop with 3 queries left before hitting the limit
# just to be safe
if ('x-rate-limit-remaining' in self.ts.get_metadata() and
int(self.ts.get_metadata()['x-rate-limit-remaining']) <= 3 and
now < reset):
longsleeptime = reset - now + 60
self.log(
'\nSleeping %s seconds \n(x-rate-limit-remaining= %s,'
' \nx-rate-limit-reset=%s,'
' \ntime now=%s)'
% (
longsleeptime,
self.ts.get_metadata()[
'x-rate-limit-remaining'],
self.ts.get_metadata()['x-rate-limit-reset'],
now
)
)
self.ReportStatus(2)
time.sleep(longsleeptime)
if(this_query_total_tweets >= depth):
break
elif ('x-rate-limit-remaining' in self.ts.get_metadata() and
int(self.ts.get_metadata()['x-rate-limit-remaining']) <= 3 and
now >= reset):
# Wait a minute just in case there is a discrepency
# between the rate limit we've been given and the
# actual
self.log(
'\nSleeping 60 seconds (x-rate-limit-remaining= %s,'
' x-rate-limit-reset=%s,'
' time now=%s)'
% (
self.ts.get_metadata()[
'x-rate-limit-remaining'],
self.ts.get_metadata()['x-rate-limit-reset'],
now
)
)
self.ReportStatus(2)
time.sleep(60)
if(this_query_total_tweets >= depth):
break
elif('x-rate-limit-remaining' not in self.ts.get_metadata()):
self.log("\nx-rate-limit-remaining missing! Will sleep.")
self.ReportStatus(2)
time.sleep(900)
else:
last_num_of_queries = self.ts.get_statistics()[0]
# Wait between queries
self.log(
'\nSleeping \n(current_num_of_queries= %s,'
' \nlast_num_of_queries=%s'
', \nx-rate-limit-remaining= %s,'
' \nx-rate-limit-reset=%s)'
% (
current_num_of_queries,
last_num_of_queries,
self.ts.get_metadata()[
'x-rate-limit-remaining'],
self.ts.get_metadata()['x-rate-limit-reset']
)
)
self.ReportStatus(2)
time.sleep(sleep_time)
if(this_query_total_tweets >= depth):
break
# Update query counter
last_num_of_queries = self.ts.get_statistics()[0]
self.log("\nThis query total tweets processed: %s" % this_query_total_tweets)
return this_query_total_tweets
except TwitterSearchException as e:
if(e.code == 420):
self.log("\nBlaze it for a hot sec: we're being rate limited. Waiting 15 minutes...")
self.ReportStatus(2)
time.sleep(900)
self.log("\nAttempting to restart scrape process...")
return self.scrape_search_query(search_query, depth, min_id, max_id)
elif(e.code == 403 or e.code == 503):
self.log("\nTwitter is either experiencing high load or we are being rate limited. Waiting 1 hour...")
self.ReportStatus(2)
time.sleep(3600)
self.log("\nAttempting to restart scrape process...")
return self.scrape_search_query(search_query, depth, min_id, max_id)
else:
# self.log(e)
logging.exception("TwitterSearch had an error:")
print(e)
except pymysql.Error as e:
self.log("\nError %d: %s" % (e.args[0], e.args[1]))
if(e.args[0] == 2006):
self.log("\nDetected dead MySQL server, waiting 30 seconds for server to restart...")
self.ReportStatus(2)
time.sleep(30)
self.log("\nAttempting to restart scrape process...")
return self.scrape_search_query(search_query, depth, min_id, max_id)
else:
self.log("\nQuitting")
if con:
con.close()
if self.logfile:
self.logfile.close()
return this_query_total_tweets
ts = TwitterSearch(consumer_key=keys[0],
consumer_secret=keys[1],
access_token=keys[2],
access_token_secret=keys[3])
pp = pprint.PrettyPrinter(indent=4)
latest_id = 0
num_tweets = 0
next_max_id = 0
try:
for i in range(iters):
# first query the Twitter API
response = ts.search_tweets(tso)
# print rate limiting status
print "Current api calls remaining: %s" % ts.get_metadata(
)['x-rate-limit-remaining']
old_num_tweets = num_tweets
# check all tweets according to their ID
for tweet in response['content']['statuses']:
num_tweets += 1
tweet_id = tweet['id']
with open(args.out_file, 'a') as fout:
json.dump(tweet, fout)
fout.write('\n')
#pprint.pprint(tweet,stream=fout)
if (latest_id == 0):
latest_id = tweet_id
# current ID is lower than current next_max_id?
if (tweet_id < next_max_id) or (next_max_id == 0):
class RestController:
def __init__(self, config):
self.config = config
self.ts = TwitterSearch(
consumer_key=config['TwitterAuth']['consumer_key'],
consumer_secret=config['TwitterAuth']['consumer_secret'],
access_token=config['TwitterAuth']['access_token'],
access_token_secret=config['TwitterAuth']['access_token_secret'])
self.searchParametersLog = []
self.tsqList = []
self.DBController = SearchDBController(config)
#---Main public methods----
def addNewSearchParams(self, searchParams):
# if search parameters are unique and complete, add them to the database search controller
self.DBController.addSearchParams(searchParams)
def basicSearch(self, collection_names):
self._clearTsqList()
self._readParamsFromDatabase(collection_names)
self._updateQueriesAllowed()
for tsq in self.tsqList:
if tsq.queriesAllowed == 0:
self.searchParametersLog.append("Failure")
print("Not enough queries remaining")
break
try:
tsq.performSearch()
self._moveResultsToDatabase(tsq)
except TwitterSearchException as e:
self.searchParametersLog.append("TwitterSearch Failure")
self.writeSearchLog('./')
raise e
except:
self.searchParametersLog.append("Write Failure")
self.writeSearchLog('./')
raise
self.searchParametersLog.append(
"Success - %s: %d Tweets Written at %s" %
(tsq.collection_name, len(tsq.buffer), str(datetime.now())))
#---Debug methods----
def getTweetsFromCollection(self, collection_name):
tsq = self._findTsqFromCollectionName(collection_name)
return tsq.buffer
def firstTweetFromCollectionName(self, collection_name):
tsq = self._findTsqFromCollectionName(collection_name)
if (tsq):
return tsq.buffer[0]
def clearDBCollections(self):
for col in self.DBController.getAllCollectionNames():
if (col == "searchlookup"):
self.DBController.clearCollection(col)
else:
self.DBController.dropCollection(col)
def writeSearchLog(self, path):
with open(path + 'searches.log', mode='a',
encoding='utf-8') as logfile:
logfile.write('\n'.join(
str(entry) for entry in self.searchParametersLog))
logfile.write('\n')
self.searchParametersLog = []
#---Private methods----
def _readParamsFromDatabase(self, collection_names):
# add the unique twitter search from database
for name in collection_names:
params = self.DBController.readSearchParamsFromCollectionName(name)
self.tsqList.append(TwitterSearchQuery(self.ts, params))
self.searchParametersLog.append(params)
def _moveResultsToDatabase(self, tsq):
if (tsq.buffer):
self.DBController.writeTweets(tsq.collection_name, tsq.buffer)
self.DBController.writeSinceId(tsq.collection_name,
tsq.getSinceId())
def _clearTsqList(self):
self.tsqList = []
def _findTsqFromCollectionName(self, collection_name):
for tsq in self.tsqList:
if (tsq.collection_name == collection_name):
return tsq
return None
def _updateQueriesAllowed(self):
for tsq in self.tsqList:
try:
tsq.queriesAllowed = int(
self.ts.get_metadata()['x-rate-limit-remaining']) / len(
self.tsqList)
except TwitterSearchException as e:
if (e.code == 1012):
tsq.queriesAllowed = 180 / len(self.tsqList)
else:
raise e
tso.set_include_entities(True)
if UNTIL:
tso.set_until(UNTIL)
# it's about time to create a TwitterSearch object with our secret tokens
ts = TwitterSearch(consumer_key = CONSUMER_KEY,consumer_secret = CONSUMER_SECRET,access_token = ACCESS_TOKEN,access_token_secret = ACCESS_TOKEN_SECRET,verify = True)
#ts.authenticate()
count = 0
# connect to mongo
connection = pymongo.Connection("mongodb://{0}".format(DB_URL), safe=True)
db=connection.twitter
users = db.users
tweets = db.tweets
new_users = 0
response = ts.search_tweets_iterable(tso)
for tweet in response: # this is where the fun actually starts :)
limit_remaining = ts.get_metadata()['x-rate-limit-remaining']
limit_reset = ts.get_metadata()['x-rate-limit-reset']
limit = ts.get_metadata()['x-rate-limit-limit']
sleep = needs_sleep(limit_remaining,limit_reset)
if sleep:
print 'Sleeping {0} seconds to avoid reaching rate limit.'.format(sleep)
time.sleep(sleep)
tweet['twitteranalytics_project_id'] = PROJECT_ID
if (tweets.find({"id":tweet['id'],"twitteranalytics_project_id":PROJECT_ID}).count() == 0):
dt = datetime.datetime.strptime(tweet['created_at'],'%a %b %d %H:%M:%S +0000 %Y')
tweet['created_at_dt'] = dt
if (START_DATE and END_DATE and dt >= START_DATE and dt <= END_DATE) or (not (START_DATE and END_DATE)):
tweets.insert(tweet)
else:
print 'We reached our newest stored tweet: {0}'.format(tweet['text'].encode('utf-8'))
#break