通过 Twitter API 提取趋势标签

Question

我正在使用以下代码来运行一个 twitter 机器人，该机器人应该使用在发推文时处于趋势顶部的主题标签，并且该机器人使用它来发布著名哲学家的思想。

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import tweepy, time, sys 

argfile = str(sys.argv[1])

#enter the corresponding information from your Twitter application:
CONSUMER_KEY = 'secret'
CONSUMER_SECRET = 'secret'
ACCESS_KEY = 'secret'
ACCESS_SECRET = 'secret'
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)
api = tweepy.API(auth)

filename=open(argfile,'r')
f=filename.readlines()
filename.close()

trends1 = api.trends_place(1)
print trends1
hashtags = [x['name'] for x in trends1[0]['trends'] if x['name'].startswith('#')]
# print hashtags
print hashtags[0]
trend_hashtag = hashtags[0]

# Tweet every X min ...
for line in f:
    api.update_status(line + ' ' + trend_hashtag)
    time.sleep(1800)

问题在于代码永久存储了它在第一次迭代中检索到的趋势标签。如何实现为每条推文重新提取主题标签（在这种情况下，每 1800 秒）？

提前致谢！

Answer 1

明显的变化是更新循环内的主题标签：

for line in f:
    trends1 = api.trends_place(1)
    print trends1
    hashtags = [x['name'] for x in trends1[0]['trends'] if x['name'].startswith('#')]
    # print hashtags
    print hashtags[0]
    trend_hashtag = hashtags[0]
    api.update_status("{0} {1}".format(line, trend_hashtag)) # more modern format
    time.sleep(1800)