Peter Baumgartner ipmb

ecs-connect.py

Get shell access to ECS tasks using execute-command.

Local Prerequisites

aws CLI
uv
Install the Session Manager Plugin
AWS Credentials

A generic configuration loader for Django. Configuration is the term I’m using for environment-specific settings values. Most settings are static and don’t change from environment-to-environment, but some like DATABASES or SECRET_KEY should.

Inspired by dataclasses and Pydantic.

Users should define a class which inherits from a Configuration class:

class Config(Configuration):
    DEBUG: bool = False  # value with default
    SECRET_KEY: str      # value with no default (raises an error if not provided)

	---
	name: Update Python dependencies

	on:
	workflow_dispatch: {}
	schedule:
	# Run every Wednesday 6AM
	- cron: "0 6 * * 3"

	jobs:

	#!/bin/bash

	if [ $# -lt 2 ]; then
	echo "Usage: $0 <log_group_prefix> <log_stream_name>"
	exit 1
	fi

	LOG_GROUP_PREFIX=$1
	LOG_STREAM_NAME=$2

	import json
	import random
	import http.client

	# make call to cat facts API
	# https://cat-fact.herokuapp.com/facts
	conn = http.client.HTTPSConnection("cat-fact.herokuapp.com")
	conn.request("GET", "/facts")
	response = conn.getresponse()

	(version 1)
	(allow default)
	(debug deny)

	(define (home-subpath home-relative-subpath)
	;; should be able to use something like (param "HOME_DIR") here, but it's not working for me
	(subpath (string-append "/Users/pete" home-relative-subpath)))

	;; can't write anywhere or read /Users by default
	(deny file-write*)

	import psycopg2

	NEW_USER = "fred"

	types = {"c": "TABLE", "t": "TABLE", "r": "TABLE", "S": "SEQUENCE", "i": "INDEX", "v": "VIEW"}
	with psycopg2.connect(**kwargs) as conn:
	conn.autocommit = True
	with conn.cursor() as curs:
	for kind, name in types.items():
	curs.execute(

	twitter.com##[aria-label$="Trending now" i]
	twitter.com##article [aria-label^="Recommended Topic" i]:upward(article)

	pip install awscli # if you don't have it installed already
	export AWS_ACCESS_KEY_ID=your-access-key # starts with AK
	export AWS_SECRET_ACCESS_KEY=your-secret-key
	echo "hello world" \| aws s3 cp - s3://your-bucket-name/test.txt
	aws s3 cp s3://your-bucket-name/test.txt - # this should output "hello world"

	{
	"Mappings": {
	"LBAccountId": {
	"af-south-1": {
	"AccountId": "098369216593"
	},
	"ap-east-1": {
	"AccountId": "754344448648"
	},
	"ap-northeast-1": {