app.py 文件源码

def analyze(username):
    twitter_consumer_key = 'NXXzhmDN1kcu3N7YPxf8y7qvp'
    twitter_consumer_secret = 'vViSlyPlHkueZCrEPTnQJ5PP8ET8iVHNmFh6G4RRSkcpDiCFPT'
    twitter_access_token = '3260949332-GsQhU60z94XZA012BbcgsJmT9EOFZEfbVW6zboW'
    twitter_access_secret = 'NjxFN3dpdvmE4iZ0ci2wV5wfdeEqnmmMJssczSJv61fpf'

    twitter_api = twitter.Api(consumer_key=twitter_consumer_key, 
                                consumer_secret=twitter_consumer_secret,    
                                access_token_key=twitter_access_token, 
                                access_token_secret=twitter_access_secret)


    statuses = twitter_api.GetUserTimeline(screen_name=handle, count=200, include_rts=False)

    text = "" # Store the retrieved info 

    for status in statuses:
        if (status.lang =='en'): # English tweets
            text += status.text.encode('utf-8') 

    # The IBM Bluemix credentials for Personality Insights!
    pi_username = '91afa133-d7a9-469f-95e9-a38cb2c500f4'
    pi_password = 'EUiG6T4wGG7j'

    personality_insights = PersonalityInsights(username=pi_username, password=pi_password)

    result = personality_insights.profile(text)
    return result