python - 为什么我一直收到第 93 行错误，说 TwitterClient 在上面的类中定义时未定义？

Question

这是给 tweepy 的。它说

TwitterClient 未定义。

import re 
import tweepy 
from tweepy import OAuthHandler 
from textblob import TextBlob 
class TwitterClient(object):
    '''
   Generic Twitter Class for sentiment analysis. 
    '''
    def __init__(self): 
        ''' 
    Class constructor or initialization method. 
        '''
        # keys and tokens from the Twitter Dev Console 
        consumer_key = 'remove'
        consumer_secret = 'remove'
        access_token = 'remove-remove'
        access_token_secret = 'remove'

        # attempt authentication 
        try: 
        # create OAuthHandler object 
            self.auth = OAuthHandler(consumer_key, consumer_secret) 
        # set access token and secret 
            self.auth.set_access_token(access_token, access_token_secret) 
        # create tweepy API object to fetch tweets 
            self.api = tweepy.API(self.auth) 
        except: 
            print("Error: Authentication Failed") 

    def clean_tweet(self, tweet): 
        ''' 
        Utility function to clean tweet text by removing links, special characters 
        using simple regex statements. 
        '''
        return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", tweet).split())
    def get_tweet_sentiment(self, tweet): 
        ''' 
        Utility function to classify sentiment of passed tweet 
        using textblob's sentiment method 
        '''
        # create TextBlob object of passed tweet text 
        analysis = TextBlob(self.clean_tweet(tweet)) 
        # set sentiment 
        if analysis.sentiment.polarity > 0: 
            return 'positive'
        elif analysis.sentiment.polarity == 0: 
            return 'neutral'
        else: 
            return 'negative'
    def get_tweets(self, query, count = 10): 
        ''' 
        Main function to fetch tweets and parse them. 
        '''
        # empty list to store parsed tweets 
        tweets = [] 
        try: 
            # call twitter api to fetch tweets 
                fetched_tweets = self.api.search(q = query, count = count) 

            # parsing tweets one by one 
                for tweet in fetched_tweets: 
                # empty dictionary to store required params of a tweet 
                    parsed_tweet = {} 

                # saving text of tweet 
                    parsed_tweet['text'] = tweet.text 
                # saving sentiment of tweet 
                    parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text)
                # appending parsed tweet to tweets list 
                    if tweet.retweet_count > 0: 
                    # if tweet has retweets, ensure that it is appended only once 
                        if parsed_tweet not in tweets: 
                            tweets.append(parsed_tweet) 
                        else: 
                            tweets.append(parsed_tweet) 

                # return parsed tweets 
                return tweets 

        except tweepy.TweepError as e: 
            #print error (if any) 
                print("Error : " + str(e)) 

    def main():
            #creating object of TwitterClient Class 
        api = TwitterClient()
            #calling function to get tweets 
        tweets = api.get_tweets(query = 'ADF', count = 200) 

        #picking positive tweets from tweets 
        ptweets = [tweet for  tweet in tweets if tweet['sentiment'] == 'positive'] 
    #       percentage of positive tweets 
        print("Positive tweets percentage: {} %".format(100*len(ptweets)/len(tweets))) 
            #picking negative tweets from tweets 
        ntweets = [tweet for tweet in tweets if tweet['sentiment'] == 'negative'] 
            #percentage of negative tweets 
        print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets))) 
            #percentage of neutral tweets \
        netweets = [tweet for tweet in tweets if tweet['sentiment'] == 'neutral']
        print("Neutral tweets percentage: {} %".format(100*(len(netweets)/len(tweets))))
            #printing first 5 positive tweets 
        print("\n\nPositive tweets:")
        for tweet in ptweets[:10]:
            print(tweet['text'])
            #printing first 5 negative tweets  
        print("\n\nNegative tweets:") 
        for tweet in ntweets[:10]: 
            print(tweet['text']) 
    if __name__ == "__main__": 
                #calling main function 
            main()

标签： python

Answer 1

一个简单的解决方案是main()从TwitterClient()定义中删除。确切的问题是main()在里面，TwitterClient()换句话说你还没有完成定义TwitterClient()，所以python抛出错误。

怎么修

最简单的解决方案是从定义中移动main()和if __name__...行。TwitterClient()这将摆脱您当前的错误。此代码应该可以工作：

import re import tweepy from tweepy import OAuthHandler from textblob import TextBlob class TwitterClient(object): ''' 用于情绪分析的通用 Twitter 类。''' def init (self): ''' 类构造函数或初始化方法。''' # 来自 Twitter 开发控制台的密钥和令牌 consumer_key = 'remove' consumer_secret = 'remove' access_token = 'remove-remove' access_token_secret = 'remove'

        # attempt authentication 
        try: 
        # create OAuthHandler object 
            self.auth = OAuthHandler(consumer_key, consumer_secret) 
        # set access token and secret 
            self.auth.set_access_token(access_token, access_token_secret) 
        # create tweepy API object to fetch tweets 
            self.api = tweepy.API(self.auth) 
        except: 
            print("Error: Authentication Failed") 

    def clean_tweet(self, tweet): 
        ''' 
        Utility function to clean tweet text by removing links, special characters 
        using simple regex statements. 
        '''
        return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", tweet).split())
    def get_tweet_sentiment(self, tweet): 
        ''' 
        Utility function to classify sentiment of passed tweet 
        using textblob's sentiment method 
        '''
        # create TextBlob object of passed tweet text 
        analysis = TextBlob(self.clean_tweet(tweet)) 
        # set sentiment 
        if analysis.sentiment.polarity > 0: 
            return 'positive'
        elif analysis.sentiment.polarity == 0: 
            return 'neutral'
        else: 
            return 'negative'
    def get_tweets(self, query, count = 10): 
        ''' 
        Main function to fetch tweets and parse them. 
        '''
        # empty list to store parsed tweets 
        tweets = [] 
        try: 
            # call twitter api to fetch tweets 
                fetched_tweets = self.api.search(q = query, count = count) 

            # parsing tweets one by one 
                for tweet in fetched_tweets: 
                # empty dictionary to store required params of a tweet 
                    parsed_tweet = {} 

                # saving text of tweet 
                    parsed_tweet['text'] = tweet.text 
                # saving sentiment of tweet 
                    parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text)
                # appending parsed tweet to tweets list 
                    if tweet.retweet_count > 0: 
                    # if tweet has retweets, ensure that it is appended only once 
                        if parsed_tweet not in tweets: 
                            tweets.append(parsed_tweet) 
                        else: 
                            tweets.append(parsed_tweet) 

                # return parsed tweets 
                return tweets 

        except tweepy.TweepError as e: 
            #print error (if any) 
                print("Error : " + str(e)) 

def main():
        #creating object of TwitterClient Class 
    api = TwitterClient()
        #calling function to get tweets 
    tweets = api.get_tweets(query = 'ADF', count = 200) 

        #picking positive tweets from tweets 
    ptweets = [tweet for  tweet in tweets if tweet['sentiment'] == 'positive'] 
        #percentage of positive tweets 
    print("Positive tweets percentage: {} %".format(100*len(ptweets)/len(tweets))) 
        #picking negative tweets from tweets 
    ntweets = [tweet for tweet in tweets if tweet['sentiment'] == 'negative'] 
        #percentage of negative tweets 
    print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets))) 
        #percentage of neutral tweets \
    netweets = [tweet for tweet in tweets if tweet['sentiment'] == 'neutral']
    print("Neutral tweets percentage: {} %".format(100*(len(netweets)/len(tweets))))
        #printing first 5 positive tweets 
    print("\n\nPositive tweets:")
    for tweet in ptweets[:10]:
        print(tweet['text'])
        #printing first 5 negative tweets  
    print("\n\nNegative tweets:") 
    for tweet in ntweets[:10]: 
            print(tweet['text']) 
if __name__ == "__main__": 
    #calling main function 
    main()