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preprocessing.py
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''' This file will be used to pre process the data from the CITI site
Using the tutorial provided in the eICU site
Getting the data using login credentials '''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import psycopg2
import getpass
import pdvega
# for configuring connection
from configobj import ConfigObj
import os
config='../db/config.ini'
# connection info
conn_info = dict()
if os.path.isfile(config):
config = ConfigObj(config)
conn_info["sqluser"] = config['username']
conn_info["sqlpass"] = config['password']
conn_info["sqlhost"] = config['host']
conn_info["sqlport"] = config['port']
conn_info["dbname"] = config['dbname']
conn_info["schema_name"] = config['schema_name']
else:
conn_info["sqluser"] = 'postgres'
conn_info["sqlpass"] = ''
conn_info["sqlhost"] = 'localhost'
conn_info["sqlport"] = 5432
conn_info["dbname"] = 'eicu'
conn_info["schema_name"] = 'public,eicu_crd'
# Connect to the eICU database
print('Database: {}'.format(conn_info['dbname']))
print('Username: {}'.format(conn_info["sqluser"]))
if conn_info["sqlpass"] == '':
# try connecting without password, i.e. peer or OS authentication
try:
if (conn_info["sqlhost"] == 'localhost') & (conn_info["sqlport"]=='5432'):
con = psycopg2.connect(dbname=conn_info["dbname"],
user=conn_info["sqluser"])
else:
con = psycopg2.connect(dbname=conn_info["dbname"],
host=conn_info["sqlhost"],
port=conn_info["sqlport"],
user=conn_info["sqluser"])
except:
conn_info["sqlpass"] = getpass.getpass('Password: ')
con = psycopg2.connect(dbname=conn_info["dbname"],
host=conn_info["sqlhost"],
port=conn_info["sqlport"],
user=conn_info["sqluser"],
password=conn_info["sqlpass"])
query_schema = 'set search_path to ' + conn_info['schema_name'] + ';'
# After acquiring login credential pre processing can be done on data using apache spark or pandas