def update_graph_live(value, n_intervals):
mongo = MongoWrapper()
neg_sentiment, neutral_sentiment, pos_sentiment = mongo.get_polarity_tweets_of_stock(
value)
negs = neg_sentiment.count()
poss = pos_sentiment.count()
neuu = neutral_sentiment.count()
tots = negs + poss + neuu
posPercentage = (poss / (tots)) * 100
neuPercentage = (neuu / (tots)) * 100
negPercentage = (negs / (tots)) * 100
fig = ({
'data': [{
'type': 'pie',
'labels': ['Positive', 'Neutral', 'Negative'],
'values': [posPercentage, neuPercentage, negPercentage],
'marker': {
'colors': ['#32C85A', '#4C93B1', '#FA4632'],
# 'values': [posPercentage, negPercentage],
# 'marker': {'colors': ['#32C85A', '#FA4632'],
},
}],
'layout': {
'title': {
'text': "Twitter Sentiment for {}\n".format(value),
},
}
})
return fig
def update_graph_live(value):
mongo = MongoWrapper()
neg_sentiment, neutral_sentiment, pos_sentiment = mongo.get_polarity_tweets_of_stock(value)
print(neg_sentiment)
negs = neg_sentiment.count()
poss = pos_sentiment.count()
neuu = neutral_sentiment.count()
tots = negs+poss+neuu
posPercentage = (poss/(tots))*100
# neuPercentage = (neuu/(tots))*100
negPercentage = (negs/(tots))*100
# print(posPercentage)
# print(neuPercentage)
# print(negPercentage)
# print(tots)
bigGraph = dcc.Graph(
animate=False,
figure={
'data': [{
'type': 'pie',
'labels': ['Positive', 'Neutral' ,'Negative'],
# 'values': [posPercentage, neuPercentage, negPercentage],
# 'marker': {'colors': ['#32C85A', '#4C93B1', '#FA4632'],
'values': [posPercentage, negPercentage],
'marker': {'colors': ['#32C85A', '#FA4632'],
},
}],
'layout':{
'title':"Twitter Sentiment for {}\n".format(value)
}
}
),
afterText = html.Div('Total Tweets pulled for searchword: {}.\n'.format(tots))
return (bigGraph, afterText)
def mainFunction(value):
mongo = MongoWrapper()
neg_sentiment, neutral_sentiment, pos_sentiment = mongo.get_polarity_tweets_of_stock(
value)
negs = neg_sentiment.count()
poss = pos_sentiment.count()
neuu = neutral_sentiment.count()
tots = negs + poss + neuu
posPercentage = (poss / (tots)) * 100
neuPercentage = (neuu / (tots)) * 100
negPercentage = (negs / (tots)) * 100
# print(posPercentage, neuPercentage, negPercentage)
return dcc.Graph(
figure={
'data': [{
'type': 'pie',
'labels': ['Positive', 'Neutral', 'Negative'],
'values': [posPercentage, neuPercentage, negPercentage],
'marker': {
'colors': ['#32C85A', '#4C93B1', '#FA4632'],
# 'values': [posPercentage, negPercentage],
# 'marker': {'colors': ['#32C85A', '#FA4632'],
},
}],
'layout': {
'title': {
'text': "Twitter Sentiment for {}\n".format(value),
},
}
}), html.Div(
children='Total Tweets pulled for searchword: {}.\n'.format(tots)),
import tweepy
from WatchDogs_MongoWrapper import MongoWrapper
CONSUMER_KEY = "lQu7vXPH6hMNQ92LLVOFD5K8b"
CONSUMER_SECRET = "NwoUxJgXZkA6Fm0IJpNC6S0bavZy3YVcblKrQQbna7R4lwj39X"
ACCESS_TOKEN = "1170146904-NfXboXT6cjI8zcThUiixJp1AztyJH4Hw8wdkDwj"
ACCESS_SECRET = "rpRprMkactMVuKiJsESZGjEUmbixPABB3NjIKOxymJT7K"
def twitter_setup():
try:
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
api = tweepy.API(auth,
wait_on_rate_limit=True,
wait_on_rate_limit_notify=True)
return api
except:
print("Error: Authentication Failed")
if __name__ == "__main__":
pullTweets = twitter_setup()
tweets = pullTweets.search(q=["Boeing"], count=200, tweet_mode="extended")
mongo = MongoWrapper()
mongo.get_polarity_tweets_of_stock("Aramark")
def test_get_stocks_polarity(self):
mongo = MongoWrapper()
print(mongo.get_polarity_tweets_of_stock("3D Systems Corporation"))
class RedisWrapper():
def __init__(self, decrypt_key):
self.redicclient = redis.StrictRedis(host='35.236.16.13', port=6379, db=0, decode_responses=True)
self.mng = MongoWrapper(decrypt_key)
def get_logger(self, logger_name):
return self.mng.get_logger(logger_name)
def redis_update_json(self, api_string, key):
if api_string == 'get_tweets_with_lat_long/':
json_data = self.mng.get_tweets_with_lat_long(key)
self.redicclient.execute_command('JSON.SET', api_string+key, '.', json_data)
elif api_string == 'get_polarity_tweets_of_stock/':
json_data = self.mng.get_polarity_tweets_of_stock(key)
self.redicclient.execute_command('JSON.SET', api_string + key, '.', json_data)
def redis_insert_tweet(self, key, tweet):
"""
Either insert a single tweet or multiple tweets and this def will update the redis cache accordingly
:param key:
:param tweets:
:return:
"""
try:
lat_long_list = tweet['Geo']['coordinates']
has_lat_long = True
except:
has_lat_long = False
lat_long_list = ['None', 'None']
if has_lat_long:
sentiment_value = float(tweet["Sentiment_Value"])
full_text = tweet["Text"]
root_json_path = {}
root_json_path["Latitude"] = lat_long_list[0]
root_json_path["Longitude"] = lat_long_list[1]
root_json_path["Tweet_Text"] = full_text
root_json_path["Sentiment_Value"] = sentiment_value
api_string = 'get_tweets_with_lat_long/'
self.redicclient.execute_command('JSON.ARRAPPEND', api_string+key, '.', json.dumps(root_json_path))
sentiment_polarity = int(tweet["Sentiment_Polarity"])
full_text = tweet["Text"]
root_json_path = {}
root_json_path["Latitude"] = lat_long_list[0]
root_json_path["Longitude"] = lat_long_list[1]
root_json_path["Tweet_Text"] = full_text
root_json_path["Sentiment_Polarity"] = sentiment_polarity
api_string = 'get_polarity_tweets_of_stock/'
if sentiment_polarity == -1:
root_path = '.Negative_Tweets'
elif sentiment_polarity == 0:
root_path = '.Neutral_Tweets'
elif sentiment_polarity == 1:
root_path = '.Positive_Tweets'
self.redicclient.execute_command('JSON.ARRAPPEND', api_string + key, root_path, json.dumps(root_json_path))
def redis_get_json(self, api_string, key):
return self.redicclient.execute_command('JSON.GET', api_string+key)
def redis_flush_all(self):
"""
Danger. This flushes the whole DB. Careful
:return:
"""
self.redicclient.flushdb()
