importer.py

    hashtags = []
    mentions = []
    tweet_count = 0
    end_date = datetime.utcnow() - timedelta(days=365)
    for status in tweepy.Cursor(api.user_timeline, id=target).items():
      tweet_count += 1
      if hasattr(status, "entities"):
        entities = status.entities
        if "hashtags" in entities:
          for ent in entities["hashtags"]:
              if ent is not None:
                if "text" in ent:
                  hashtag = ent["text"]
                  if hashtag is not None:
                    hashtags.append(hashtag)
        if "user_mentions" in entities:
          for ent in entities["user_mentions"]:
              if ent is not None:
                if "screen_name" in ent:
                  name = ent["screen_name"]
                  if name is not None:
                    mentions.append(name)
      if status.created_at < end_date:
          break
      most_mentioned_users = ""
    for item, count in Counter(mentions).most_common(10):
      most_mentioned_users += item + "\t" + str(count) + "\n"
    most_used_hashtags = ""
    for item, count in Counter(hashtags).most_common(10):
      most_used_hashtags += item + "\t" + str(count) + "\n"
    processed_tweets = str(tweet_count)