def main(argv=None):
'''
app entry point
'''
# gets a twitter object
tw = twitter(TWITTER['CONSUMER_KEY'], TWITTER['CONSUMER_SECRET'], \
TWITTER['ACCESS_TOKEN'], TWITTER['ACCESS_TOKEN_SECRET'])
# gets a bitly object
bl = bitly(BITLY['USER'], BITLY['APIKEY'])
# tries to load the history from the file. If an exception is raised,
# istantiates an empty dictionary object
try:
history = pickle.load(open(HISTORY_FILE, 'rb'))
except:
history = dict()
# cycles through the RSSs defined in settings
for rsskey, rssvalue in RSS.iteritems():
# gets a feed object
fd = feeds(rssvalue['RSS'])
# tries to load last timestamp. If an exception is raised,
# initializes it with the init value defined in settings
try:
last_timestamp = history[rsskey]
except:
last_timestamp = (rssvalue['HISTORY'])['INIT_VALUE']
history[rsskey] = last_timestamp
# gets the updated feeds
entries = fd.get_updated_feeds(rssvalue['HISTORY'], last_timestamp)
# cycles through the feeds, tweetin them
for feed in entries:
link = bl.shorten_url(getattr(feed, rssvalue['LINK']))
tweet = getattr(feed, rssvalue['TEXT'])
length = TWITTER['TWEET_LENGTH'] - len(rssvalue['HASHTAG']) \
- len(link) - 10
tweet = rssvalue['HASHTAG'] + ' ' + tw.truncate(tweet, length) \
+ ' ' + link
tw.update_status(tweet, DEBUG)
# updates the last timestamp
history[rsskey] = fd.get_last_timestamp()
# saves the history
pickle.dump(history, open(HISTORY_FILE, 'wb'))
sys.exit(0)
import sentiments
import findEntities
import search
print "scriptinicial"
# Processamento das bibliotecas... Colocar o ficheiro personalidades e e sentilex em dicionarios
politiciansList = []
opinionDic = {}
lexiDic = {} # Dicionario que contem como key -> primeira palavra value e uma lista com tuplas
tuple = () # (resto da frase, comprimento da frase, polaridade)
list_personalities = []
#Tratamento com o sentilex
sentiments.sentilexTratamento(lexiDic, tuple)
findEntities.personalidadesTratamento(list_personalities)
#Feeds das noticias
feeds.feeds(lexiDic, list_personalities, opinionDic)
print "\nNoticias:"
for op in opinionDic:
print op
print "\nPoliticos:"
for i in opinionDic[op][0]:
print i
print "\nValor da noticia: ",opinionDic[op][1],"\n\n"
#Extração dos dados para um ficheiro.dat
sentiments.analiseSentimentos(opinionDic)
#sentiments. analiseSentimentos(opinionDic):
#Pesquisa BM25
search.search(list_personalities)
def child_feeds(self, ctx): return feeds(self.username, self.app, self.log)
def child_feeds(self, ctx):
return feeds(self.username, self.app, self.log)
