Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 1
Introduction
Except Falcon-specific changes, you should note the major changes in
parallelizing the calling get_score function using a thread pool class.
import falcon
from falcon_cors import CORS
import json
from sqlalchemy import *
from sqlalchemy.orm import sessionmaker
import pygeoip
from pymongo import MongoClient
import json
import datetime as dt
import ipaddress
import math
from concurrent.futures import *
from sqlalchemy.engine import Engine
from sqlalchemy import event
import sqlite3
@event.listens_for(Engine, "connect")
def set_sqlite_pragma(dbapi_connection, connection_record):
cursor = dbapi_connection.cursor()
cursor.execute("PRAGMA cache_size=100000")
cursor.close()
class Predictor(object):
def __init__(self,domain):
db1 = create_engine('sqlite:///score_' + domain +
'0test.db')
db2 = create_engine('sqlite:///probability_' +
domain +'0test.db')
db3 = create_engine('sqlite:///ctr_'+ domain +
'test.db')
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