def profile(profileId):
authCookie = request.cookies.get('linkedin_oauth_%s' % cfg.get('auth', 'consumer_key'))
authString = urllib.unquote(authCookie)
# profile
LinkedIn = LinkedInApi.LinkedInApi(session['linkedin_oauth_token'], session['linkedin_oauth_secret'])
profile = parser.parse(LinkedIn.profile(profileId))
print
#print profile
print
positions = profile['positions']['values']
raw = nlp.ascii(parser.raw(profile))
tokens = nlp.tokenize(raw)
tokens = nlp.normalize(tokens)
token_str = ' '.join(tokens)
freq = ' '.join(nlp.freq_dist(tokens, 3))
# connections
parser_parse = parser.parse(LinkedIn.connections(profileId))
# we can't (yet) get to our connections connections
if 'message' in parser_parse.keys():
print parser_parse
connections = []
else:
connections = parser_parse['values']
# context
context = {}
context['id'] = authString
context['profile'] = profile
context['positions'] = positions
context['tokens'] = token_str
context['connections'] = connections
context['frequent'] = freq
return render_template('profile.html', **context)
def doIt():
json_prof = api.profile()
print json_prof
profile = parser.parse(json_prof)
#print "Name: " + profile['firstName'] + ' ' + profile['lastName']
raw = parser.raw(profile)
raw = nlp.ascii(raw)
tokens = nlp.tokenize(raw)
tokens = nlp.normalize(tokens)
print "Tokens:"
print ' '.join(tokens)
freq = nlp.freq_dist(tokens, 3)
print "Frequent:"
print ' '.join(freq)
vocab = nlp.vocabulary(tokens)
print "Vocabulary: "
print vocab
text = nltk.Text(tokens)
print "Text: " + str(type(text))
def peopleSearch():
results = api.peopleSearch("java%20spring%20cassandra")
print parser.parse(results)