def scrape_top_twitter_people():
"""
Fill db with metadata from top 50 users
Used to update avatars etc
"""
t = TweepyScraper(
settings.TWEEPY_CONSUMER_KEY,
settings.TWEEPY_CONSUMER_SECRET,
settings.TWEEPY_ACCESS_TOKEN,
settings.TWEEPY_ACCESS_TOKEN_SECRET)
names_and_unames = t.scrape_top_users(50)
return names_and_unames
def scrape_twitter_person(person):
"""
Scrape the given user with tweepy
take all of their tweets and
turn them into TwitterPost objects
strip out uncommon words (links, hashtags, users)
and save them seperately in instances, then
replace with dummy words.
"""
t = TweepyScraper(
settings.TWEEPY_CONSUMER_KEY,
settings.TWEEPY_CONSUMER_SECRET,
settings.TWEEPY_ACCESS_TOKEN,
settings.TWEEPY_ACCESS_TOKEN_SECRET)
tweets = t.get_tweets_from_user(person.username, 100)
print "scraped %d new tweets" % len(tweets)
new_post_ids = []
for tweet in tweets:
words = tweet.split()
final_tweet = ""
for word in words:
if "@" in word:
person.twittermention_set.create(content=word)
word = settings.USER_TOKEN
if "http" in word:
person.twitterlink_set.create(content=word)
word = settings.LINK_TOKEN
if "#" in word:
person.twitterhashtag_set.create(content=word)
word = settings.TAG_TOKEN
final_tweet = final_tweet + word + " "
final_tweet = final_tweet[:-1]
print "final tweet:"
print final_tweet
h = HTMLParser.HTMLParser()
final_tweet = h.unescape(final_tweet.decode('utf-8'))
post = TwitterPost.objects.create(author=person, content=final_tweet)
new_post_ids.append(post.id)
create_post_cache(post, person.twitterpostcache_set)
return new_post_ids
