pbrumblay

package com.tyrconsulting.identityparser;

import java.io.IOException;
import java.nio.file.Paths;
import java.util.concurrent.ExecutionException;

import org.springframework.boot.CommandLineRunner;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.ApplicationContext;

pbrumblay

resource "google_privateca_ca_pool" "root_ca_pool" {
  location = var.region
  project  = var.target_project_id
  name     = "root-ca-pool"
  tier = "ENTERPRISE" 

  publishing_options {
    publish_ca_cert = true
    publish_crl = true
  }

pbrumblay

import xml.etree.ElementTree as ET
from datetime import datetime
from typing import List, Optional, Dict, Any, Union
from pydantic import BaseModel, Field, validator
import os
import pandas as pd
from google.cloud import bigquery, storage

# --- 1. Define the Target Schema using Pydantic ---
# This class defines the structure of our final, clean output object.