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#! /bin/bash

# DigitalOcean cloud-init metadata IP address helper script

METADATA_URL="http://169.254.169.254/metadata"

PUBLIC_IPV4="$(curl -fs -m 2 $METADATA_URL/v1/interfaces/public/0/ipv4/address)"
ANCHOR_IPV4="$(curl -fs -m 2 $METADATA_URL/v1/interfaces/public/0/anchor_ipv4/address)"
FLOATING_ACTIVE="$(curl -fs -m 2 $METADATA_URL/v1/floating_ip/ipv4/active)"
FLOATING_IPV4="$(curl -fs -m 2 $METADATA_URL/v1/floating_ip/ipv4/ip_address)"

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#! /usr/bin/perl

use strict;
use warnings;
use feature qw(say);
use Data::Dumper;
use File::Slurp;
use Carp;
use Fcntl ':mode';
use DateTime;

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import sys
import os
from pprint import pprint
import re

with open('list.txt', 'r') as f:
    data = f.read()

filenames = [line for line in data.split('\n') if line]

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# `aws s3 sync` the cloudtrail files you want into a dir, then...
cat * | jq '.Records[] | select(.eventSource == "kms.amazonaws.com")' | jq '.userIdentity.arn'

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#! /bin/bash

# get Ubuntu 16.04 AMI for default region
aws ec2 describe-images --filters Name=name,Values=ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20170221 | jq -r '.Images[].ImageId'

# get same image AMI for ca-central-1
aws --region ca-central-1 ec2 describe-images --filters Name=name,Values=ubuntu/images/hvm-ssd/ubuntu-xenial-16.04-amd64-server-20170221 | jq -r '.Images[].ImageId'

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import datetime
import sys
from pprint import pprint

today = datetime.datetime.today().date()
start = datetime.datetime(2011, 2, 12, 0, 0, 0, tzinfo=None)
next_day = start

while next_day.date() <= today:
    pprint(next_day.date())

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test json schema validation in Node.JS

Setup Package

$ npm i jsonschema --save

Test/Play:

$ node ./v.js

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test json schema validation

Setup Virtualenv

$ virtualenv ./venv
$ ./venv/bin/pip install -r requirements.txt

Test/Play:

$ ./venv/bin/python ./v.py

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#!/usr/bin/env python

import os
import sys
import math
import random

NSECONDS = 5*3600
NNODES = 4000