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ecs-connect.py

Get shell access to ECS tasks using execute-command.

Local Prerequisites

1. aws CLI
2. uv
3. Install the Session Manager Plugin
4. AWS Credentials

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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)

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---
name: Update Python dependencies

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

jobs:

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#!/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

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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()

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

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(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*)

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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(

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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"

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