fbatroni

import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from pyspark.sql.functions import *
from awsglue.dynamicframe import DynamicFrame

fbatroni

import ec2 = require('@aws-cdk/aws-ec2');
import ecs = require('@aws-cdk/aws-ecs');
import ecs_patterns = require('@aws-cdk/aws-ecs-patterns');
import cdk = require('@aws-cdk/core');
import route53 = require('@aws-cdk/aws-route53');
import acm = require('@aws-cdk/aws-certificatemanager');
import targets = require('@aws-cdk/aws-route53-targets/lib');
import path = require('path');
import { config } from 'dotenv';
import { ApplicationProtocol, SslPolicy } from '@aws-cdk/aws-elasticloadbalancingv2';

fbatroni

package com.blogspot.lifeinide.postgres.locks;

import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.hibernate.exception.LockAcquisitionException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.Ordered;
import org.springframework.stereotype.Component;

fbatroni

import okhttp3.Cookie;
import okhttp3.CookieJar;
import okhttp3.HttpUrl;

import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

public class SimpleOkHttpCookieJar implements CookieJar {

fbatroni

-- This schema provides a comprehensive foundation for a hospital management system,
-- outlining the key entities involved and their interrelationships.
-- Adjustments may be required based on specific system requirements,
-- such as adding or modifying tables and relationships.

-- uncomment the below statements to recreate the schema
DROP TYPE IF EXISTS _roomType CASCADE;
DROP TABLE IF EXISTS hospital CASCADE;
DROP TABLE IF EXISTS department CASCADE;
DROP TABLE IF EXISTS employee CASCADE;

fbatroni

[flake8]
max-line-length = 88
max-complexity = 12
select = C,E,F,W,B,B950
ignore = E203, E501, W503

fbatroni

# Based on the following:
# https://www.datainsightonline.com/post/how-to-generate-fake-dataset-with-python-faker-library
# https://deparkes.co.uk/2020/12/28/python-fake-data-with-faker/

from faker.providers import BaseProvider
from faker import Faker
import pandas as pd
from loguru import logger

fake = Faker("en_GB")