def checkTweetInRegion():
region = {}
region['min_lat'] = InstagramConfig.photo_min_lat
region['max_lat'] = InstagramConfig.photo_max_lat
region['min_lng'] = InstagramConfig.photo_min_lng
region['max_lng'] = InstagramConfig.photo_max_lng
r = Region(region)
ti = TweetInterface()
ti.setDB('citybeat_production')
ti.setCollection('tweets')
cur = ti.getAllDocuments()
tot = 0
tweet_in_region = 0
for tweet in cur:
cor = [0, 0]
cor[0] = tweet['location']['latitude']
cor[1] = tweet['location']['longitude']
tot += 1
if r.insideRegion(cor):
tweet_in_region += 1
print tweet_in_region
print tot
def main():
ti = TweetInterface()
ti.setDB('citybeat_production')
ti.setCollection('tweets')
tc = ti.getAllDocuments({'created_time' : {'$gte' : '1378711668'}})
print tc.count()
cnt = 0
for tweet in tc:
tweet = Tweet(tweet)
text = tweet.getText().lower()
if 'quinn' in text:
print text
cnt += 1
print cnt
def testWithTweet():
from corpus import buildAllCorpus
corpus_all = buildAllCorpus(element_type="tweets", debug=True)
for key, corpus in corpus_all.items():
break
ei = EventInterface()
ei.setDB("citybeat")
ei.setCollection("candidate_event_25by25_merged")
event = ei.getDocument()
print event
ti = TweetInterface()
cur = ti.getAllDocuments(limit=30)
tweets = []
for tweet in cur:
tweets.append(tweet)
del event["photos"]
event["tweets"] = tweets
event = BaseFeature(event, corpus=corpus)
print event.printFeatures()
