我不仅是 python 的新手,而且是完全编程的新手,所以我非常感谢你的帮助!
我正在尝试使用 Tweepy 过滤检测来自 twitter 流 API 的所有推文。
我已按用户 ID 过滤并确认正在实时收集推文。
但是,似乎只有倒数第二条推文被实时收集,而不是最新的推文。
你们能帮忙吗?
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)