Python，tweepy流

Posted 2021-05-05

我使用的代码类似于下面的代码：https://github.com/tweepy/tweepy/blob/master/examples/streaming.py

API允许您跟踪多个过滤条件，在此示例中为track = ['usa'，'canada']。这实际上意味着该流将收集提及“加拿大”或“美国”的推文。

问题是函数on_data（）打印数据，但它没有指定数据属于哪个过滤器术语。当你只过滤一个术语时，例如在github页面上提供的样本中，那么它是隐含的，但是当你有多个术语时，你如何打印术语和与之相关的数据？

换句话说，我如何知道哪些推文被“加拿大”过滤而哪些被“美国”过滤？

from __future__ import absolute_import, print_function

from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream

# Go to http://apps.twitter.com and create an app.
# The consumer key and secret will be generated for you after
consumer_key=""
consumer_secret=""

# After the step above, you will be redirected to your app's page.
# Create an access token under the the "Your access token" section
access_token=""
access_token_secret=""

class StdOutListener(StreamListener):
    """ A listener handles tweets that are received from the stream.
    This is a basic listener that just prints received tweets to stdout.
    """
    def on_data(self, data):
        print(data)
        return True

    def on_error(self, status):
        print(status)

if __name__ == '__main__':
    l = StdOutListener()
    auth = OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_token, access_token_secret)

    stream = Stream(auth, l)
stream.filter(track=['usa','canada'])

答案

你没有提到第三种可能性：一条推文与“加拿大”和“美国”相匹配。不过，解决方案只是测试推文中是否存在任何一个或两个过滤词。所以：

def on_data(self, data):
    text = data.text.lower()
    if "canada" in text:
        do_canada()
    if "usa" in text:
        do_usa()
    return True