Rob Recalde recalde

Write a Python program that connects to a PostgreSQL database using host, port, user, password, and schema name. The program should:

Loop over each day between a given BEGIN_DATE and END_DATE (formatted as YYYYMMDD). Each date represents a value for the calc_dt column.
For each day:
- Identify all tables in the given schema that contain a column named calc_dt.
- For each matching table:
  - Check if it has a primary key column that is a single bigint with an auto-increment default (PostgreSQL sequence). If so, sort exports by calc_dt and this primary key. If not, sort by calc_dt only.
  - Select all rows from the table where calc_dt = current_date, and export to a Parquet file named {table}_{calc_dt}.parquet.
Use snappy compression for a good balance of speed and file size.

	#!/bin/bash
	set -e

	echo "[Startup] Measuring host compute power..."

	# CPU Test
	START=$(date +%s%N)
	for i in {1..100000}; do echo "$i" \| sha256sum > /dev/null; done
	END=$(date +%s%N)
	CPU_MS=$(( (END - START) / 1000000 ))

	import ssl
	import socket
	import requests
	from urllib.parse import urljoin
	from cryptography import x509
	from cryptography.hazmat.backends import default_backend
	from bs4 import BeautifulSoup
	import hashlib

	def fetch_ssl_chain(domain, port=443):

	#!/bin/bash

	set -e

	MAVEN_VERSION=3.9.6
	MAVEN_DIR="$HOME/.maven/apache-maven-$MAVEN_VERSION"
	MAVEN_BIN="$MAVEN_DIR/bin/mvn"

	echo "=== Checking Java ==="
	if ! command -v java >/dev/null 2>&1; then

	-- Create a temporary table with a JSON column for grouping variables.
	CREATE TEMP TABLE temp_counts (
	group_vars json, -- holds grouping variables (e.g., calc_date, formatted_date, etc.)
	count_result integer
	) ON COMMIT DROP;

	DO $$
	DECLARE
	begin_date date := '2023-01-01'; -- Replace with your desired begin date.
	end_date date := '2023-01-10'; -- Replace with your desired end date.

	using k8s;
	using k8s.Models;
	using Newtonsoft.Json;
	using System.Collections.Generic;

	namespace OpenShiftModels
	{
	public class Route : IKubernetesObject<V1ObjectMeta>, ISpec<RouteSpec>
	{
	[JsonProperty("apiVersion")]

	import tkinter as tk
	from tkinter import filedialog, messagebox
	import simplekml

	def add_coordinate():
	if len(coordinates) < 10:
	lat = lat_entry.get()
	lon = lon_entry.get()
	diameter = diameter_entry.get()

	import psycopg2
	import pandas as pd
	from psycopg2 import sql
	from concurrent.futures import ThreadPoolExecutor, as_completed
	import threading

	# Database connection details
	DB_CONFIG = {
	"host": "localhost",
	"dbname": "your_database",

	using System;
	using System.Collections.Concurrent;
	using System.IO;
	using System.Text;
	using System.Threading;
	using System.Threading.Tasks;
	using Microsoft.Extensions.Hosting;
	using Microsoft.Extensions.Logging;

	public class KubernetesPodLogFileWriterService : IHostedService, IDisposable