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CelebrityMatch.py
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CelebrityMatch.py
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import sys
import operator
import requests
import json
import twitter
from watson_developer_cloud import PersonalityInsightsV2 as PersonalityInsights
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)
def analyze(handle):
statuses = twitter_api.GetUserTimeline(screen_name=handle, count=200, include_rts=False)
statuses = twitter_api.GetUserTimeline(screen_name=handle, count=200, include_rts=False)
for status in statuses:
print status
for status in statuses:
print status.text
text = ""
for status in statuses:
if (status.lang =='en'): #English tweets
text += status.text.encode('utf-8')
pi_username = ''
pi_password = ''
personality_insights = PersonalityInsights(username=pi_username, password=pi_password)
pi_result = personality_insights.profile(text)
def flatten(orig):
data = {}
for c in orig['tree']['children']:
if 'children' in c:
for c2 in c['children']:
if 'children' in c2:
for c3 in c2['children']:
if 'children' in c3:
for c4 in c3['children']:
if (c4['category'] == 'personality'):
data[c4['id']] = c4['percentage']
if 'children' not in c3:
if (c3['category'] == 'personality'):
data[c3['id']] = c3['percentage']
return data
def compare(dict1, dict2):
compared_data = {}
for keys in dict1:
if dict1[keys] != dict2[keys]:
compared_data[keys]=abs(dict1[keys] - dict2[keys])
return compared_dat
user_handle = "@------" # to be entered
celebrity_handle = "@----" # to be entered
user_result = analyze(user_handle)
celebrity_result = analyze(celebrity_handle)
user = flatten(user_result)
celebrity = flatten(celebrity_result)
compared_results = compare(user,celebrity)
sorted_result = sorted(compared_results.items(), key=operator.itemgetter(1))
for keys, value in sorted_result[:5]:
print keys,
print(user[keys]),
print ('->'),
print (celebrity[keys]),
print ('->'),
print (compared_results[keys])