Nathan Glover t04glovern

## main.tf
provider "aws" {
  region = "us-west-2"
}

resource "aws_s3_bucket" "my_bucket" {
  bucket = "unique-bucket-name"
}

resource "aws_s3_access_point" "my_access_point" {
  name   = "myaccesspoint"

## wsl-ubuntu-24.04.ps1
# Create scratch location
cd
mkdir wsl-ubuntu-24.04

# Download WSL image
wget `
  https://cloud-images.ubuntu.com/wsl/noble/current/ubuntu-noble-wsl-amd64-24.04lts.rootfs.tar.gz `
  -O ubuntu-noble-wsl-amd64-24.04lts.rootfs.tar.gz

# Import image to new WSL VM

## rtsp_claude3_haiku_bedrock.py
#!/usr/bin/env python3

"""
This script captures images from an RTSP stream at regular intervals and uses
the Claude 3 Haiku model to generate descriptions based on a custom prompt.

Install:
    python3 -m venv .venv
    source .venv/bin/activate
    pip3 install boto3==1.34.62 opencv-python-headless==4.9.0.80

## lets-try-pyiceberg.py
#!/usr/bin/env python3
#
# -- Run other script to create the Iceberg table
#
# pip install boto3
# curl https://gist.githubusercontent.com/t04glovern/04f6f2934353eb1d0fffd487e9b9b6a3/raw \
#    > lets-try-iceberg.py \
#    && chmod +x lets-try-iceberg.py
# ./lets-try-iceberg.py --table lets_try_iceberg
#

## spell-check-post.py
#!/usr/bin/env python3
#
# pip install python-frontmatter openai
# ./spell-check-post.py content/blog/amazon-eventbridge-slack-notification-on-event/index.mdx
#
# The following file will be created:
# content/blog/amazon-eventbridge-slack-notification-on-event/index.new.mdx
#
# Follow the stream of content:
# tail -f content/blog/amazon-eventbridge-slack-notification-on-event/index.new.mdx

## .clippy.sh
#!/bin/bash

# Take the text after the "clippy" command as the input
user_prompt="$*"

export HELPER="Return only the shell/bash command for the following request, only return the bash/shell that would work if passed to the shell/bash. nothing more. example could be 'list all the files in my home directory' which would return 'ls ~' and ONLY the command 'ls ~', absolutely no other text around it, just the command - the request is for for the following:"

# Send the POST request and process the response
response=""
is_done=false

## lets-try-iceberg.py
#!/usr/bin/env python3
#
# pip install boto3
# ./lets-try-iceberg.py --bucket <bucket-name> --table <table-name> --compaction
#
# Creates the following files:
# - 1-athena-iceberg-create-table.sql - CREATE TABLE statement
# - 2-athena-create-temp-table.sql - CREATE EXTERNAL TABLE statement
# - 3-insert-into-iceberg-from-temp-table.sql - INSERT INTO statement
# - 4-cleanup-temp-table.sql - DROP TABLE statement

## partition-projection-synthetic-data.py
#!/usr/bin/env python
#
# pip install boto3
# ./partition-projection-synthetic-data.py --bucket <bucket-name>
#
# Creates the following files:
# - partition-projection-create-table.sql - CREATE TABLE statement
# - partition-projection-query-table.sql - SQL to query the table

import logging

## .bash_profile
alias pr_comment='~/.pr-comment.sh'

## enable_stack_set_deletion_checker.py
#!/usr/bin/env python3
# This script will check for any StackSets that are not in the manifest.yaml file.
# https://github.com/aws-solutions/aws-control-tower-customizations/releases/tag/v2.5.0

import boto3
import yaml
import logging

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
	provider "aws" {
	region = "us-west-2"
	}

	resource "aws_s3_bucket" "my_bucket" {
	bucket = "unique-bucket-name"
	}

	resource "aws_s3_access_point" "my_access_point" {
	name = "myaccesspoint"
	# Create scratch location
	cd
	mkdir wsl-ubuntu-24.04

	# Download WSL image
	wget `
	https://cloud-images.ubuntu.com/wsl/noble/current/ubuntu-noble-wsl-amd64-24.04lts.rootfs.tar.gz `
	-O ubuntu-noble-wsl-amd64-24.04lts.rootfs.tar.gz

	# Import image to new WSL VM
	#!/usr/bin/env python3

	"""
	This script captures images from an RTSP stream at regular intervals and uses
	the Claude 3 Haiku model to generate descriptions based on a custom prompt.

	Install:
	python3 -m venv .venv
	source .venv/bin/activate
	pip3 install boto3==1.34.62 opencv-python-headless==4.9.0.80
	#!/usr/bin/env python3
	#
	# -- Run other script to create the Iceberg table
	#
	# pip install boto3
	# curl https://gist.githubusercontent.com/t04glovern/04f6f2934353eb1d0fffd487e9b9b6a3/raw \
	# > lets-try-iceberg.py \
	# && chmod +x lets-try-iceberg.py
	# ./lets-try-iceberg.py --table lets_try_iceberg
	#
	#!/usr/bin/env python3
	#
	# pip install python-frontmatter openai
	# ./spell-check-post.py content/blog/amazon-eventbridge-slack-notification-on-event/index.mdx
	#
	# The following file will be created:
	# content/blog/amazon-eventbridge-slack-notification-on-event/index.new.mdx
	#
	# Follow the stream of content:
	# tail -f content/blog/amazon-eventbridge-slack-notification-on-event/index.new.mdx
	#!/bin/bash

	# Take the text after the "clippy" command as the input
	user_prompt="$*"

	export HELPER="Return only the shell/bash command for the following request, only return the bash/shell that would work if passed to the shell/bash. nothing more. example could be 'list all the files in my home directory' which would return 'ls ~' and ONLY the command 'ls ~', absolutely no other text around it, just the command - the request is for for the following:"

	# Send the POST request and process the response
	response=""
	is_done=false
	#!/usr/bin/env python3
	#
	# pip install boto3
	# ./lets-try-iceberg.py --bucket <bucket-name> --table <table-name> --compaction
	#
	# Creates the following files:
	# - 1-athena-iceberg-create-table.sql - CREATE TABLE statement
	# - 2-athena-create-temp-table.sql - CREATE EXTERNAL TABLE statement
	# - 3-insert-into-iceberg-from-temp-table.sql - INSERT INTO statement
	# - 4-cleanup-temp-table.sql - DROP TABLE statement
	#!/usr/bin/env python
	#
	# pip install boto3
	# ./partition-projection-synthetic-data.py --bucket <bucket-name>
	#
	# Creates the following files:
	# - partition-projection-create-table.sql - CREATE TABLE statement
	# - partition-projection-query-table.sql - SQL to query the table

	import logging
	#!/usr/bin/env python3
	# This script will check for any StackSets that are not in the manifest.yaml file.
	# https://github.com/aws-solutions/aws-control-tower-customizations/releases/tag/v2.5.0

	import boto3
	import yaml
	import logging

	logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')