Python 如何在streamparse spout中使用tweepy接受推特流并将推特传递给bolt？

最近，我开始研究storm，为了更好地使用python，我决定使用streamparse来研究storm。我计划在spout中接受twitter流，并在bolt中执行一些计算。但我想不出我该如何在喷口中编写代码。我已经阅读了各种streamparse教程，但它们都显示了从静态列表发出的元组，并且没有twitter流api提供的流。 这是我的风暴代码：

class WordSpout(Spout):

def initialize(self, stormconf, context):
    self.words = itertools.cycle(['dog', 'cat','zebra', 'elephant'])
def next_tuple(self):
    word = next(self.words)
    self.emit([word])

这是我的tweepy代码：

class listener(StreamListener):

def on_status(self,status):
    print(status.text)
    print "--------------------------------"
    return(True)

def on_error(self, status):
    print "error"
def on_connect(self):
    print "CONNECTED"


auth = OAuthHandler(ckey, csecret)


auth.set_access_token(atoken, asecret)

twitterStream = Stream(auth, listener())
twitterStream.filter(track=["california"])

---

如何集成这两个代码？

为此，我设置了一个kafka队列，tweepy侦听器使用该队列将status.text写入队列。然后，喷口不断地从队列中读取数据以执行分析。我的代码看起来有点像这样：

listener.py：

class MyStreamListener(tweepy.StreamListener):

  def on_status(self, status):
    # print(status.text)
    client = KafkaClient(hosts='127.0.0.1:9092')

    topic = client.topics[str('tweets')]
    with topic.get_producer(delivery_reports=False) as producer:

        # print status.text
        sentence = status.text
        for word in sentence.split(" "):
            if word is None:
                continue
            try:
                word = str(word)
                producer.produce(word)
            except:
                continue

  def on_error(self, status_code):
    if status_code == 420:  # exceed rate limit
        return False
    else:
        print("Failing with status code " + str(status_code))
        return False

auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
myStreamListener = MyStreamListener()
myStream = tweepy.Stream(auth=api.auth, listener=myStreamListener)

myStream.filter(track=['is'])

喷口文件：

from streamparse.spout import Spout
from pykafka import KafkaClient

class TweetSpout(Spout):
    words = []

    def initialize(self, stormconf, context):
        client = KafkaClient(hosts='127.0.0.1:9092')

        self.topic = client.topics[str('tweets')]

    def next_tuple(self):
        consumer = self.topic.get_simple_consumer()
        for message in consumer:
            if message is not None:
                self.emit([message.value])
        else:
            self.emit()