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logging.basicConfig(format='[%(asctime)s] %(levelname)s [%(filename)s:%(funcName)s:%(lineno)d] %(message)s') | |
logger = logging.getLogger('driver_logger') | |
logger.setLevel(logging.DEBUG) |
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import psycopg2.extras | |
import os | |
def connect_db(autocommit=False): | |
""" Connects to a data base and returns a connection and a cursor. """ | |
conn = psycopg2.connect( | |
database=os.environ.get('DATABASE_DBNAME'), | |
user=os.environ.get('DATABASE_USERNAME'), | |
host=os.environ.get('DATABASE_HOST'), | |
password=os.environ.get('DATABASE_PASSWORD') |
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from nltk.util import ngrams | |
from sklearn.metrics.pairwise import cosine_similarity | |
import string | |
import itertools | |
vector_of_possibilities = [''.join(i) for i in itertools.product(string.ascii_lowercase + string.digits, repeat=3)] | |
def get_3grams(astring): | |
newstring = [achar for achar in astring.lower() if achar.isalnum()] | |
return [''.join(agram) for agram in ngrams(newstring, 3)] |