from app.config import config
from tweepy.error import TweepError
from mongoengine.errors import NotUniqueError, OperationError
from pymongo.errors import DuplicateKeyError
import random
# Logging
from app.logger import logger
logger = logger(__name__)
# Load the classifier and markov.
# Loaded here so we can keep it in memory.
# accessible via app.brain.CLS or app.brain.MKV
CLS = Classifier()
MKV = Markov(ramble=config().ramble,
ngram_size=config().ngram_size,
spasm=config().spasm)
def ponder():
"""
Fetch tweets from the Muses
and memorize them;
i.e. train classifier or Markov on them.
"""
logger.info('Pondering new twitter data...')
# Each of these are just a list
# of tweets as strings.
def setUp(self):
self.clf = Classifier(filepath=test_filepath)
