我使用tweepy来发送一些推文。这是我的程序:
import tweepy
import json
consumer_key = "***"
consumer_secret = "***"
access_token_key="***"
access_token_secret="***"
auth1 = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth1.set_access_token(access_token_key, access_token_secret)
api = tweepy.API(auth1)
class StreamListener(tweepy.StreamListener):
def on_status(self, status):
try:
print status.text
except Exception, e:
print 'Encountered Exception Tweet:', e
pass
return True
def on_error(self, status_code):
print 'Encountered error with status code:' + repr(status_code)
return True
def on_data(self, data):
if 'in_reply_to_status_id' in data:
status = tweepy.Status.parse(self.api, json.loads(data))
if self.on_status(status) is False:
return True
elif 'delete' in data:
delete = json.loads(data)['delete']['status']
if self.on_delete(delete['id'], delete['user_id']) is False:
return True
elif 'limit' in data:
if self.on_limit(json.loads(data)['limit']['track']) is False:
return True
return True
def on_timeout(self):
print 'Timeout...'
return True
l = StreamListener()
streamer = tweepy.Stream(auth=auth1, listener=l, timeout=36000000)
setTerms = ['enbrel']
streamer.filter(follow=None,track = setTerms)
两三个小时后,此程序停止。没有信号错误,超时等。它只是没有得到更多的推文。我在哪里做错了?
答案 0 :(得分:7)
尝试在您的课程中添加on_disconnect
方法。可能是Twitter正在断开你(不是错误,也不是超时)而你没有处理这个问题。如果您愿意,可以以不同方式处理不同的Twitter错误。
def on_disconnect(self, notice):
"""Called when twitter sends a disconnect notice
Disconnect codes are listed here:
https://dev.twitter.com/docs/streaming-apis/messages#Disconnect_messages_disconnect
"""
return
查看Tweety的streaming
module以获取更多信息。
您还可以尝试在streamer.filter()
中启用停顿警告。以下是来自Tweepy来源的所有选项及其默认值:
def filter(self, follow=None, track=None, async=False, locations=None,
stall_warnings=False, languages=None, encoding='utf8'):
答案 1 :(得分:1)
您可能希望以
开始的时间启动apiapi = tweepy.API(auth1,timeout=60)