filipeandre

AWSTemplateFormatVersion: '2010-09-09'
Description: >
  Creates an EXTERNAL‑origin KMS key and retrieves import parameters (public key + import token)
  via a Lambda-backed custom resource. Stores them in SSM Parameter Store (SecureString) and
  outputs base64 values for use by Stack B.

Parameters:
  AliasName:
    Type: String
    Default: 'ext/demo'

filipeandre

#!/usr/bin/env bash

if [ $# -eq 0 ]
  then
    echo "Usage: ./`basename "$0"` region secretN..."
    exit 2
fi

for secret in "${@:2}"
do

filipeandre

import boto3
import json
import multiprocessing
from botocore.exceptions import ClientError

function_name = "hello-world-quota-limit"
payload = {
    "key1": "test-key1",
    "key2": "test-key2",
    "key3": "test-key3"

filipeandre

import boto3
import os

def export_temp_credentials():
    session = boto3.Session()
    credentials = session.get_credentials().get_frozen_credentials()

    print(f'os.environ["AWS_ACCESS_KEY_ID"] = "{credentials.access_key}"')
    print(f'os.environ["AWS_SECRET_ACCESS_KEY"] = "{credentials.secret_key}"')
    

filipeandre

import boto3
import json

# --- CONFIGURATION ---

SAML_PROVIDER_NAME = "IAMIdentityCenterProvider"  # must already exist
ROLE_NAME = "SAMLAdminAccessRole"
POLICY_NAME = "SAMLAdministratorAccessPolicy"
POLICY_DESCRIPTION = "Full admin access for SAML federated users"
USE_MANAGED_ADMIN_POLICY = True  # set False to use a custom inline policy

filipeandre

#!/bin/bash

# Usage:
# ./clone_deleted_stack.sh <stack-id-or-name> [new-stack-name] [optional-role-arn]

set -euo pipefail

INPUT_ID="${1:-}"
NEW_STACK_NAME="${2:-}"
ROLE_ARN="${3:-}"

filipeandre

import boto3
import tempfile
import os
import sys
from urllib.parse import urlparse
import openpyxl

def parse_s3_uri(s3_uri):
    parsed = urlparse(s3_uri)
    bucket = parsed.netloc

filipeandre

AWSTemplateFormatVersion: '2010-09-09'
Description: Test substitution logic for IP construction with dummy resource.

Resources:
  DummyResource:
    Type: AWS::CloudFormation::WaitConditionHandle

Outputs:
  FabricComponentsStaticIP:
    Value: !Sub 

filipeandre

const redis = require('redis');
const readline = require('readline');

async function connectRedis(host, port, db, password) {
    const client = redis.createClient({
        socket: { host, port },
        database: db,
        password
    });
    await client.connect();

filipeandre

# define functions to run the ocr,
# annotate the images with the bounding boxes
# consolidate the results to a dataframe
# and iterate over a folder of images
from PIL import Image, ImageDraw
import pandas as pd
from paddleocr import PaddleOCR
import os
import traceback