def on_status(self, status):
""" --- When a Status/Tweet is Captured, It Comes Here --- """
# --- Create Tweet Obeject From Pieces of the Tweet We Need
lat, lon = status.geo["coordinates"] if status.geo else ('', '')
# --- FOR TESTING ONLY REMOVE SOON ----
print "hashtags = "
print status.entities['hashtags']
# --- Save the Relevant Information From the HashTag (All We Need is the Tag Text)
tagList = []
for tag in status.entities['hashtags']:
tagList.append(tag['text'])
tempTweet = Tweet(status.id, status.created_at, status.text, status.entities['user_mentions'], tagList, lat, lon)
# --- Tweet is Collected With the Handle Stream
if self.streamID == "handle":
helperFunctions.storeTweet(tempTweet, bars)
# --- Tweet is Collected With the Location Stream: Classify Tweet Relative to Specific Bar OR Just a Happy NorthGater
elif self.streamID == "location":
helperFunctions.classifyTweet(tempTweet, bars, generalBarGoerTweets)
#print "lat = " + str(lat) + '\t' + "lon = " + str(lon) + '\n'
return True
self.handleStream = tweepy.Stream(auth = self.auth, listener = self.handleListener)
self.handleStream.filter(follow = barIDs, track = barHandles)
def CollectTweetsByLocation(self, _lattitude, _longitude, _radius, _units):
searchLocation = str(_lattitude) + "," + str(_longitude) + "," + str(_radius) + str(_units)
self.locationStream = tweepy.Stream(self.auth, self.locationListener)
self.locationStream.filter(follow = None, locations=[-102.33,31.84,-102.28,31.91])
if __name__ == "__main__":
homeLat = 30.587457
homeLon = -96.342547
# --- Load the Bar Data From File (Will Change this to Load from DataBase)
loadAllBarData("BarData.csv", bars)
helperFunctions.loadStreamFiterLists(bars, barHandles, barIDs)
tweetCrawler = TweetCrawler()
tweetCrawler.CollectTweetsByHandle()
#tweetCrawler.CollectTweetsByLocation(homeLat, homeLon , 0.1 , "mi")
