def main():
'''
Does a search through past tweets on the titles in the EONet JSON, and then
filters by tweets with geodata and the geolocation within the polygon
given in the EONet JSON. These are saved to a SQLite database.
'''
# Retrieve the data from EONet (Earth Observatory Natural Event Tracker).
eonet = EONet()
# Search for recent tweets relating to the events provided by EONet.
# This is done before monitoring the Twitter stream or listening for REST
# requests.
search_tweets(eonet)
# Monitor the Twitter live stream for tweets relating to the EONet events.
monitor_tweets(eonet)
def main():
'''
Does a search through past tweets on the titles in the EONet JSON, and then
filters by tweets with geodata and the geolocation within the polygon
given in the EONet JSON. These are saved to a SQLite database.
'''
# Retrieve the data from EONet (Earth Observatory Natural Event Tracker).
eonet = EONet()
# Search for recent tweets relating to the events provided by EONet.
# This is done before monitoring the Twitter stream or listening for REST
# requests.
search_tweets(eonet)
# Monitor the Twitter live stream for tweets relating to the EONet events.
monitor_tweets(eonet)
def fillCategory(catg):
timeline = twitter_search.search_tweets(catg,result_type="recent")
for tweet in timeline:
Tweet.objects.create(text=tweet.text.encode('utf-8'),
author=tweet.from_user.encode('utf-8'),
category=catg,
datetime='Today',
avatar=tweet.profile_image_url)
def updateCategory(catg):
tweetObjects = Tweet.objects.filter(category=catg)
if tweetObjects.count():
timeline = twitter_search.search_tweets(catg,result_type="recent")
j = 0
for tweet in timeline:
t = tweetObjects[j]
t.text = tweet.text.encode('utf-8')
t.author = tweet.from_user.encode('utf-8')
t.category = catg
t.datetime = 'Today'
t.avatar = tweet.profile_image_url
t.save()
j = j + 1
def get_tweets(search_word, number_of_tweets):
raw_tweets = search_tweets(search_word, number_of_tweets)
text = ""
tweets = []
for tweet in raw_tweets:
tweet_dict = {}
if hasattr(tweet, 'text'):
tweet_dict['tweet_text'] = tweet.text
text = text + " " + tweet.text
else:
tweet_dict['tweet_text'] = tweet.full_text
text = text + " " + tweet.full_text
tweet_dict['username'] = tweet.author.name
tweet_dict['posted_date'] = tweet.created_at
tweet_dict['img_source'] = tweet.user.profile_image_url
tweets.append(tweet_dict)
return tweets, text