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models.py
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models.py
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import re
from sqlalchemy import Column, Integer, Float, ForeignKey, String
from sqlalchemy.orm import relationship, backref
from sqlalchemy_utils.types.choice import ChoiceType
import config
from constants import STATES
from extensions import Base, session, redis, socketio
from mixins import ModelMixin
class _SocketMixin():
channel = config.SENTIMENT_REDIS_CHANNEL
msg_name = config.PRESIDENTIAL_SOCKETIO_MSG_NAME
namespace = config.PRESIDENTIAL_SOCKETIO_NAMESPACE
class PresidentialCandidate(_SocketMixin, ModelMixin, Base):
__tablename__ = "presidential_candidate"
pk = Column(Integer, primary_key=True)
name = Column(String(120))
def update_sentiment_score(self, state, blob_score, *vader_scores):
ts = TweetSentiment.get_or_create(candidate=self, state=state)
ts.update_score(blob_score, *vader_scores)
return ts
def publish(self, sentiment, msg=""):
sentiment.publish(msg)
@classmethod
def subscribe(cls):
pubsub = redis.pubsub()
pubsub.subscribe(cls.channel)
while True:
for item in pubsub.listen():
data = item.get('data')
if isinstance(data, str):
limter = len(re.findall('.*?-.*?-.*?-.*?-', data)[0])
tweet_info = data[:limter - 1].split('-')
name, state, sentiment, total_tweets = tweet_info
msg = data[limter:]
data = {
'name': name,
'state': state,
'sentiment': sentiment,
'total_tweets': total_tweets,
'msg': msg
}
socketio.emit(cls.msg_name, data, namespace=cls.namespace)
@classmethod
def current_map_data(cls):
data = {}
for candidate in session.query(cls).all():
data[candidate.name] = {}
q = session.query(TweetSentiment)
sentiments = q.filter_by(candidate=candidate)
for sentiment in sentiments.all():
map_data = sentiment.map_data
data[map_data.pop('name')][map_data.pop('state')] = map_data
return data
def __repr__(self):
return "<PresidentialCandidate '{}'>".format(self.name)
class TweetSentiment(_SocketMixin, ModelMixin, Base):
__tablename__ = "candidate_tweet_sentiment"
pk = Column(Integer, primary_key=True)
_sentiment = Column(Float, default=0.0)
blob_score_total = Column(String(255), default="0")
pos_vader_score_total = Column(String(255), default="0")
neg_vader_score_total = Column(String(255), default="0")
nuetral_vader_score_total = Column(String(255), default="0")
compound_vader_score_total = Column(String(255), default="0")
blob_score_range_count_0 = Column(String(255), default="0")
pos_vader_score_range_count_0 = Column(String(255), default="0")
neg_vader_score_range_count_0 = Column(String(255), default="0")
nuetral_score_range_count_0 = Column(String(255), default="0")
compound_score_range_count_0 = Column(String(255), default="0")
blob_score_range_count_1_10 = Column(String(255), default="0")
blob_score_range_count_11_20 = Column(String(255), default="0")
blob_score_range_count_21_30 = Column(String(255), default="0")
blob_score_range_count_31_40 = Column(String(255), default="0")
blob_score_range_count_41_50 = Column(String(255), default="0")
blob_score_range_count_51_60 = Column(String(255), default="0")
blob_score_range_count_61_70 = Column(String(255), default="0")
blob_score_range_count_71_80 = Column(String(255), default="0")
blob_score_range_count_81_90 = Column(String(255), default="0")
blob_score_range_count_91_100 = Column(String(255), default="0")
pos_vader_score_range_count_1_10 = Column(String(255), default="0")
pos_vader_score_range_count_11_20 = Column(String(255), default="0")
pos_vader_score_range_count_21_30 = Column(String(255), default="0")
pos_vader_score_range_count_31_40 = Column(String(255), default="0")
pos_vader_score_range_count_41_50 = Column(String(255), default="0")
pos_vader_score_range_count_51_60 = Column(String(255), default="0")
pos_vader_score_range_count_61_70 = Column(String(255), default="0")
pos_vader_score_range_count_71_80 = Column(String(255), default="0")
pos_vader_score_range_count_81_90 = Column(String(255), default="0")
pos_vader_score_range_count_91_100 = Column(String(255), default="0")
neg_vader_score_range_count_1_10 = Column(String(255), default="0")
neg_vader_score_range_count_11_20 = Column(String(255), default="0")
neg_vader_score_range_count_21_30 = Column(String(255), default="0")
neg_vader_score_range_count_31_40 = Column(String(255), default="0")
neg_vader_score_range_count_41_50 = Column(String(255), default="0")
neg_vader_score_range_count_51_60 = Column(String(255), default="0")
neg_vader_score_range_count_61_70 = Column(String(255), default="0")
neg_vader_score_range_count_71_80 = Column(String(255), default="0")
neg_vader_score_range_count_81_90 = Column(String(255), default="0")
neg_vader_score_range_count_91_100 = Column(String(255), default="0")
nuetral_vader_score_range_count_1_10 = Column(String(255), default="0")
nuetral_vader_score_range_count_11_20 = Column(String(255), default="0")
nuetral_vader_score_range_count_21_30 = Column(String(255), default="0")
nuetral_vader_score_range_count_31_40 = Column(String(255), default="0")
nuetral_vader_score_range_count_41_50 = Column(String(255), default="0")
nuetral_vader_score_range_count_51_60 = Column(String(255), default="0")
nuetral_vader_score_range_count_61_70 = Column(String(255), default="0")
nuetral_vader_score_range_count_71_80 = Column(String(255), default="0")
nuetral_vader_score_range_count_81_90 = Column(String(255), default="0")
nuetral_vader_score_range_count_91_100 = Column(String(255), default="0")
compound_vader_score_range_count_1_10 = Column(String(255), default="0")
compound_vader_score_range_count_11_20 = Column(String(255), default="0")
compound_vader_score_range_count_21_30 = Column(String(255), default="0")
compound_vader_score_range_count_31_40 = Column(String(255), default="0")
compound_vader_score_range_count_41_50 = Column(String(255), default="0")
compound_vader_score_range_count_51_60 = Column(String(255), default="0")
compound_vader_score_range_count_61_70 = Column(String(255), default="0")
compound_vader_score_range_count_71_80 = Column(String(255), default="0")
compound_vader_score_range_count_81_90 = Column(String(255), default="0")
compound_vader_score_range_count_91_100 = Column(String(255), default="0")
total_tweets = Column(String(255), default='0')
state = Column(ChoiceType([(abbr, abbr) for abbr in STATES.values()]))
_candidate_pk = Column('candidate_pk', Integer,
ForeignKey(PresidentialCandidate.pk))
candidate = relationship(
'PresidentialCandidate',
backref=backref('sentiments', lazy='dynamic')
)
def update_score(self, blob_score, pos_vader_score, neg_vader_score,
nuetral_vader_score, compound_vader_score):
#self._sentiment = self._sentiment + score
# Totals are string because maximum int size would be exceeded in
# timeframe.
self.total_tweets = str(int(self.total_tweets) + 1)
self.blob_score_total = str(int(self.blob_score_total) + round(blob_score))
self.pos_vader_score_total = str(int(self.pos_vader_score_total) + round(pos_vader_score))
self.neg_vader_score_total = str(int(self.neg_vader_score_total) + round(neg_vader_score))
self.nuetral_vader_score_total = str(int(self.nuetral_vader_score_total) + round(nuetral_vader_score))
self.compound_vader_score_total = str(int(self.compound_vader_score_total) + round(compound_vader_score))
vals = (
(blob_score, "blob_score_range_count_"),
(pos_vader_score, "pos_vader_score_range_count_"),
(neg_vader_score, "neg_vader_score_range_count_"),
(nuetral_vader_score, "nuetral_vader_score_range_count_"),
(compound_vader_score, "compound_vader_score_range_count_"),
)
for score, prefix in vals:
key = prefix + self._range(score)
count = int(getattr(self, key))
setattr(self, key, str(count + 1))
session.add(self)
session.commit()
def _range(self, score):
if score <= 0:
return "0"
elif score >= 91:
return "91_100"
for v in range(1, 100, 10):
if score < v:
return "{}_{}".format(v, v + 9)
def publish(self, tweet_msg=""):
msg = "{}-{}-{}-{}-{}".format(
self.candidate.name,
self.state.value,
self.sentiment,
self.total_tweets,
tweet_msg.encode('utf-8', "ignore"),
)
redis.publish(self.channel, msg)
@property
def sentiment(self):
return (float(self._sentiment) / float(self.total_tweets)) * float(100)
@property
def map_data(self):
return {
"name": self.candidate.name,
"state": self.state.value,
"sentiment": self.sentiment,
"total_tweets": self.total_tweets,
}
def __repr__(self):
return "<TweetSentiment '{}': '{}'>".format(self.candidate.name,
self.state)