# -*- coding: utf-8 -*-
import json
from watson_developer_cloud import ToneAnalyzerV3Beta as ToneAnalyzer
import pymongo

from Config_Utils.config import config

WATSON_KEY = config.get_environment_variable('WATSON_KEY')
WATSON_PASSWORD = config.get_environment_variable('WATSON_PASSWORD')

# create Bluemix account to get service_username and service_password
tone_analyzer = ToneAnalyzer(username=WATSON_KEY,
                             password=<PASSWORD>,
                             version='2016-02-11')


def get_tweets_from_db():
    db = pymongo.MongoClient().tweets
    cursor = db.tweets.find({})
    return cursor


def get_sentiment_from_watson(cursor):

    # selecting 100 tweets
    cursor = cursor[:100]
    for document in cursor:
        tweet = document['text']
        sentimentData = tone_analyzer.tone(text=tweet)
        anger = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][0]["score"]
        disgust = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][1]["score"]
        joy = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][3]["score"]
        sadness = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][4]["score"]
        openness = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][0]["score"]
        extraversion = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][2]["score"]
        aggreablesness = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][3]["score"]
        neuroticism = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][4]["score"]
        print tweet, anger, disgust, joy, sadness, openness, extraversion, aggreablesness, neuroticism


tweets = get_tweets_from_db()
get_sentiment_from_watson(tweets)

# -*- coding: utf-8 -*-
import json
from watson_developer_cloud import ToneAnalyzerV3Beta as ToneAnalyzer
import pymongo

from Config_Utils.config import config

WATSON_KEY = config.get_environment_variable('WATSON_KEY')
WATSON_PASSWORD = config.get_environment_variable('WATSON_PASSWORD')

# create Bluemix account to get service_username and service_password
tone_analyzer = ToneAnalyzer(username=WATSON_KEY,
                             password=<PASSWORD>,
                             version='2016-02-11')


def get_tweets_from_db():
    db = pymongo.MongoClient().tweets
    cursor = db.tweets.find({})
    return cursor


def get_sentiment_from_watson(cursor):

    # selecting 100 tweets
    cursor = cursor[:100]
    for document in cursor:
        tweet = document['text']
        sentimentData = tone_analyzer.tone(text=tweet)
        anger = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][0]["score"]
        disgust = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][1]["score"]
        joy = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][3]["score"]
        sadness = sentimentData["document_tone"][
            "tone_categories"][0]["tones"][4]["score"]
        openness = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][0]["score"]
        extraversion = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][2]["score"]
        aggreablesness = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][3]["score"]
        neuroticism = sentimentData["document_tone"][
            "tone_categories"][2]["tones"][4]["score"]
        print tweet, anger, disgust, joy, sadness, openness, extraversion, aggreablesness, neuroticism


tweets = get_tweets_from_db()
get_sentiment_from_watson(tweets)

# -*- coding: utf-8 -*- # create Bluemix account to get service_username and service_password # selecting 100 tweets