Soy nuevo no solo en Python, sino también en la programación, así que agradecería mucho tu ayuda.

Estoy tratando de filtrar la detección de todos los tweets de la API de streaming de Twitter usando Tweepy.

He filtrado por identificación de usuario y he confirmado que los tweets se recopilan en tiempo real.

SIN EMBARGO, parece que solo elpenúltimo El tweet se recopila en tiempo real en comparación con el último tweet.

¿Pueden ustedes ayudar?

<code>import tweepy
import webbrowser
import time
import sys

consumer_key = 'xyz'
consumer_secret = 'zyx'


## Getting access key and secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth_url = auth.get_authorization_url()
print 'From your browser, please click AUTHORIZE APP and then copy the unique PIN: ' 
webbrowser.open(auth_url)
verifier = raw_input('PIN: ').strip()
auth.get_access_token(verifier)
access_key = auth.access_token.key
access_secret = auth.access_token.secret


## Authorizing account privileges
auth.set_access_token(access_key, access_secret)


## Get the local time
localtime = time.asctime( time.localtime(time.time()) )


## Status changes
api = tweepy.API(auth)
api.update_status('It worked - Current time is %s' % localtime)
print 'It worked - now go check your status!'


## Filtering the firehose
user = []
print 'Follow tweets from which user ID?'
handle = raw_input(">")
user.append(handle)

keywords = []
print 'What keywords do you want to track? Separate with commas.'
key = raw_input(">")
keywords.append(key)

class CustomStreamListener(tweepy.StreamListener):

    def on_status(self, status):

        # We'll simply print some values in a tab-delimited format
        # suitable for capturing to a flat file but you could opt 
        # store them elsewhere, retweet select statuses, etc.



        try:
            print "%s\t%s\t%s\t%s" % (status.text, 
                                      status.author.screen_name, 
                                      status.created_at, 
                                      status.source,)
        except Exception, e:
            print >> sys.stderr, 'Encountered Exception:', e
            pass

    def on_error(self, status_code):
        print >> sys.stderr, 'Encountered error with status code:', status_code
        return True # Don't kill the stream

    def on_timeout(self):
        print >> sys.stderr, 'Timeout...'
        return True # Don't kill the stream

# Create a streaming API and set a timeout value of ??? seconds.

streaming_api = tweepy.streaming.Stream(auth, CustomStreamListener(), timeout=None)

# Optionally filter the statuses you want to track by providing a list
# of users to "follow".

print >> sys.stderr, "Filtering public timeline for %s" % keywords

streaming_api.filter(follow=handle, track=keywords)
</code>