def __init__(self, path):
"""
Instantiates an instance of the LogParser
:param str username: Service Credential username
:param str password: Service Credential password
"""
with open('./' + path, 'r') as f:
initparser = configparser.ConfigParser()
initparser.read_file(f)
initparser.keys()
self.personality_client = PersonalityInsightsV2(
username=initparser['p']['username'],
password=initparser['p']['password'])
self.tone_client = ToneAnalyzerV3(
username=initparser['tone']['username'],
password=initparser['tone']['password'],
version="2016-02-11")
self.decision_client = TradeoffAnalyticsV1(
username=initparser['decision']['username'],
password=initparser['decision']['password'])
self.logs = []
self.lenlog = [len(self.logs)]
self.axes = defaultdict(lambda: [0] * (len(self.lenlog) - 1))
self.axes['x'] = self.lenlog
def analyse(username):
statuses = api.GetUserTimeline(screen_name=username, count=200, include_rts=False)
text = ""
for s in statuses:
if (s.lang == 'en'):
text += s.text
user_personality = PersonalityInsightsV2(username=USERNAME, password=PASSWORD).profile(text)
return user_personality
import json
from os.path import join, dirname
from watson_developer_cloud import PersonalityInsightsV2
personality_insights = PersonalityInsightsV2(
username='******',
password='******')
with open(join(dirname(__file__), '../resources/personality.txt')) as \
personality_text:
print(json.dumps(personality_insights.profile(
text=personality_text.read()), indent=2))
# with open(join(dirname(__file__), '../resources/personality.txt')) as \
# personality_text:
# personality_insights_json = {"contentItems": [
# {"id": "245160944223793152", "userid": "bob", "sourceid": "twitter",
# "created": 1427720427, "updated": 1427720427,
# "contenttype": "text/plain", "charset": "UTF-8",
# "language": "en-us", "content": personality_text.read(),
# "parentid": "", "reply": "false", "forward": "false"}]}
# print(json.dumps(personality_insights.profile(
# text=personality_insights_json), indent=2))
#
# with open(join(dirname(__file__), '../resources/personality.es.txt')) as \
# personality_text:
# print(json.dumps(personality_insights.profile(
# text=personality_text.read(), language='es'), indent=2))
import json
from os.path import join, dirname
from watson_developer_cloud import PersonalityInsightsV2
#{
# "url": "https://gateway.watsonplatform.net/personality-insights/api",
# "username": "******",
# "password": "******"
#}
personality_insights = PersonalityInsightsV2(
username='******', password='******')
with open(join(dirname(__file__), '../resources/personality.txt')) as \
personality_text:
personality_insights_json = {
"contentItems": [{
"id": "245160944223793152",
"userid": "bob",
"sourceid": "twitter",
"created": 1427720427,
"updated": 1427720427,
"contenttype": "text/plain",
"charset": "UTF-8",
"language": "en-us",
"content": personality_text.read(),
"parentid": "",
"reply": "false",
"forward": "false"
}]
}
import json
from os.path import join, dirname
from watson_developer_cloud import PersonalityInsightsV2
personality_insights = PersonalityInsightsV2(username='******',
password='******')
with open(join(dirname(__file__), './resources/personality.txt')) as \
personality_text:
print(
json.dumps(personality_insights.profile(text=personality_text.read()),
indent=2))
import json
from os.path import join, dirname
from watson_developer_cloud import PersonalityInsightsV2
personality_insights = PersonalityInsightsV2(
username='******',
password='******')
with open(join(dirname(__file__), '../scripts/freeresponse.txt')) as personality_text:
json_object=personality_insights.profile(text=personality_text.read(), language='es')
# print(json.dumps(personality_insights.profile(text=personality_text.read(), language='es'), indent=2))
print('Extraversion: '+str(json_object['tree']['children'][0]['children'][0]['percentage']*100)+'%')
print('Agreeableness: '+str(json_object['tree']['children'][0]['children'][0]['children'][3]['percentage']*100)+'%')
print('Contientousness: '+str(json_object['tree']['children'][0]['children'][0]['children'][1]['percentage']*100)+'%')
print('Neuroticism: '+str(json_object['tree']['children'][0]['children'][0]['children'][4]['percentage']*100)+'%')
print('Openness: '+str(json_object['tree']['children'][0]['children'][0]['children'][0]['percentage']*100)+'%')
service = discovery.build('commentanalyzer', 'v1alpha1', developerKey=API_KEY)
analyze_request = {
'comment': { 'text': str },
'requestedAttributes': {'TOXICITY': {}}
}
try:
response = service.comments().analyze(body=analyze_request).execute()
json.dumps(response)
# print response.attributeScores.TOXICITY.summaryScore.value
return response["attributeScores"]["TOXICITY"]["summaryScore"]["value"]
except googleapiclient.errors.HttpError as e:
return "Error!"
personality_insights = PersonalityInsightsV2( username='******',password='******')
def userPerspectiveScore(user):
print(user)
perspectiveScore = 0
for comment in reddit.redditor(str(user)).comments.new(limit=10000):
try:
strUser += comment.body
except:
print ("Errorstr")
try:
perspectiveScore += float(runPerspective(strUser))
except:
print ("Error")
try:
def post_list(request):
posts = Post.objects.filter(
published_date__lte=timezone.now()).order_by('published_date')
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
language_translator = LanguageTranslator(
username='******',
password='******')
personality_insights = PersonalityInsightsV2(
username='******',
password='******')
# print(json.dumps(translation, indent=2, ensure_ascii=False))
for post in posts:
posting = post.text
toneObj = json.dumps(tone_analyzer.tone(tone_input=posting,
content_type="text/plain"),
indent=2)
post.toneObj2 = json.loads(toneObj)
post.angerScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][0]['score']
post.disgustScore = post.toneObj2['document_tone']['tone_categories'][
0]['tones'][1]['score']
post.fearScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][2]['score']
post.joyScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][3]['score']
post.sadScore = post.toneObj2['document_tone']['tone_categories'][0][
'tones'][4]['score']
translation = language_translator.translate(text=post.text,
source='en',
target='de')
obj = json.dumps(translation, indent=2, ensure_ascii=False)
post.obj2 = json.loads(obj)
post.translate_spanish = post.obj2['translations'][0][
'translation'] #[0]['word_count'][0]['character_count']
post.wordcount = post.obj2['word_count']
post.charactercount = post.obj2['character_count']
## personality insights for extra credit
profile = personality_insights.profile(text=post.text,
content_type="text/plain",
language='en')
personObj = json.dumps(profile, indent=4, ensure_ascii=False)
post.obj3 = json.loads(personObj)
post.openness = post.obj3['tree']['children'][0]['children'][0][
'children'][0]['percentage']
post.conscientiousness = post.obj3['tree']['children'][0]['children'][
0]['children'][1]['percentage']
post.extraversion = post.obj3['tree']['children'][0]['children'][0][
'children'][2]['percentage']
post.agreeableness = post.obj3['tree']['children'][0]['children'][0][
'children'][3]['percentage']
post.personlity = post.obj3['tree']['children'][0]['children'][0][
'children']
post.pstring = ""
for value in post.personlity:
if value['percentage'] >= 0.5:
name = value['name']
percentage = str(value['percentage'])
# post.needslist.append({'name': name, 'percentage': percentage})
post.pstring += (name + " : " + percentage + " | ")
for value in post.personlity:
# if value['percentage'] >= 0.5:
# name = value['name']
# percentage = str(value['percentage'])
# # post.needslist.append({'name': name, 'percentage': percentage})
# post.pstring += (name + " : " + percentage + " | ")
person = value['children']
for i in person:
if i['percentage'] >= 0.5:
name1 = i['name']
percentage1 = str(i['percentage'])
# post.needslist.append({'name': name, 'percentage': percentage})
post.pstring += (name1 + " : " + percentage1 + " | ")
post.needs = post.obj3['tree']['children'][1]['children'][0][
'children']
# post.needslist = []
post.needstring = ""
for value in post.needs:
if value['percentage'] >= 0.5:
name = value['name']
percentage = str(value['percentage'])
# post.needslist.append({'name': name, 'percentage': percentage})
post.needstring += (name + " : " + percentage + " | ")
post.values = post.obj3['tree']['children'][2]['children'][0][
'children']
# post.valuelist = []
post.valuestring = ""
for value in post.values:
if value['percentage'] >= 0.5:
name = value['name']
percentage = str(value['percentage'])
# post.valuelist.append({'name':name,'percentage':percentage})
post.valuestring += (name + " : " + percentage + " | ")
# post.obj4 = post.obj3['tree']['children']
#
# for i in post.obj4:
# obj5 = post.obj4[i]['children']
return render(request, 'blog/post_list.html', {'posts': posts})
def facet_calculation(self, tweets):
from watson_developer_cloud import PersonalityInsightsV2
personality_insights = PersonalityInsightsV2(
username='******',
password='******')
obj = (personality_insights.profile(text=tweets))
# openness
# adventerous = obj['tree']['children'][0]['children'][0]['children'][0]['children'][0]['percentage']
# artistic = obj['tree']['children'][0]['children'][0]['children'][0]['children'][1]['percentage']
emotionality = obj['tree']['children'][0]['children'][0]['children'][
0]['children'][2]['percentage']
# imagination = obj['tree']['children'][0]['children'][0]['children'][0]['children'][3]['percentage']
intellect = obj['tree']['children'][0]['children'][0]['children'][0][
'children'][4]['percentage']
liberalism = obj['tree']['children'][0]['children'][0]['children'][0][
'children'][5]['percentage']
opennessList = [emotionality, intellect, liberalism]
# Conscientiousness
# achievement_striving = obj['tree']['children'][0]['children'][0]['children'][1]['children'][0]['percentage']
# cautiousness = obj['tree']['children'][0]['children'][0]['children'][1]['children'][1]['percentage']
dutifulness = obj['tree']['children'][0]['children'][0]['children'][1][
'children'][2]['percentage']
orderliness = obj['tree']['children'][0]['children'][0]['children'][1][
'children'][3]['percentage']
self_discipline = obj['tree']['children'][0]['children'][0][
'children'][1]['children'][4]['percentage']
# self_efficacy = obj['tree']['children'][0]['children'][0]['children'][1]['children'][5]['percentage']
conscienList = [dutifulness, orderliness, self_discipline]
# Extraversion
# activity_level = obj['tree']['children'][0]['children'][0]['children'][2]['children'][0]['percentage']
# assertiveness = obj['tree']['children'][0]['children'][0]['children'][2]['children'][1]['percentage']
# cheerfulness = obj['tree']['children'][0]['children'][0]['children'][2]['children'][2]['percentage']
excitement_seeking = obj['tree']['children'][0]['children'][0][
'children'][2]['children'][3]['percentage']
friendliness = obj['tree']['children'][0]['children'][0]['children'][
2]['children'][4]['percentage']
gregariousness = obj['tree']['children'][0]['children'][0]['children'][
2]['children'][5]['percentage']
extraversionList = [excitement_seeking, friendliness, gregariousness]
# Agreeableness
# altruism = obj['tree']['children'][0]['children'][0]['children'][3]['children'][0]['percentage']
cooperation = obj['tree']['children'][0]['children'][0]['children'][3][
'children'][1]['percentage']
# modesty = obj['tree']['children'][0]['children'][0]['children'][3]['children'][2]['percentage']
morality = obj['tree']['children'][0]['children'][0]['children'][3][
'children'][3]['percentage']
# sympathy = obj['tree']['children'][0]['children'][0]['children'][3]['children'][4]['percentage']
trust = obj['tree']['children'][0]['children'][0]['children'][3][
'children'][5]['percentage']
agreeList = [cooperation, morality, trust]
# Emotional Range
anger = obj['tree']['children'][0]['children'][0]['children'][4][
'children'][0]['percentage']
# anxiety = obj['tree']['children'][0]['children'][0]['children'][4]['children'][1]['percentage']
depression = obj['tree']['children'][0]['children'][0]['children'][4][
'children'][2]['percentage']
# immoderation = obj['tree']['children'][0]['children'][0]['children'][4]['children'][3]['percentage']
# self_consciousness = obj['tree']['children'][0]['children'][0]['children'][4]['children'][4]['percentage']
vulnerability = obj['tree']['children'][0]['children'][0]['children'][
4]['children'][5]['percentage']
emotionList = [anger, depression, vulnerability]
facetList = [
opennessList, conscienList, extraversionList, agreeList,
emotionList
]
return facetList
from flask import Flask, render_template, request, url_for
from flask_cors import CORS, cross_origin
import json
import numpy as np
from urllib2 import Request, urlopen, URLError
from watson_developer_cloud import PersonalityInsightsV2
try:
from SimpleHTTPServer import SimpleHTTPRequestHandler as Handler
from SocketServer import TCPServer as Server
except ImportError:
from http.server import SimpleHTTPRequestHandler as Handler
from http.server import HTTPServer as Server
app = Flask(__name__)
CORS(app, resources=r'/*')
personality_insights = PersonalityInsightsV2(
username='******', password='******')
def destination(source, priors, dest_list, artistic):
data = np.full((10, 5), 0.0)
city_list = {}
cities = []
fin1 = open('dataset.txt', 'r')
i = 0
for line in fin1:
cols = line.split()
city_list[i] = str(cols[0])
cities.append(cols[0])
j = 1
for k in range(5):
data[i][k] = cols[j]