wyllie

#!/usr/bin/env sh

# Need to have the aws cli tool and jq 
#  aws cli: https://docs.aws.amazon.com/cli/latest/userguide/
#  jq: https://stedolan.github.io/jq/

AWS_CLI='/usr/local/bin/aws'
JQ_LOC='/usr/local/bin/jq'

usage() {

wyllie

#!/usr/bin/env sh

# Quick little script that bumps the release version using `bump2version`
# and then creates a release using the github `hub` tool
# I added bump2version to the project's requirements.txt file

usage() {
    echo "Usage: $0 [major|minor|patch]" 1>&2
}

wyllie

# This workflow will install dependencies and create a build suitable
# to be used in an AWS Lambda Layer.  The build will then be uploaded
# to S3 and then can be accessed from any lambda that uses the layer.
#
# This build is only for dev builds.  Releases will be built from a
# seperate action.
#
# A new version of the layer will be created for every branch when a
# pull request is intitiated.  This allows us to test the layer in a
# dev environment on AWS BEFORE the code is merged into master.

wyllie

# This will enable sloppy focus (somewhat) on MacOSX
#
# Enter this command in any terminal and then relaunch:
defaults write com.apple.Terminal FocusFollowsMouse -string YES

# to disable:
defaults write com.apple.Terminal FocusFollowsMouse -string NO

# for more details: http://osxdaily.com/2011/04/18/terminal-focus-follow-mouse-mac/

wyllie

#!/bin/sh

BUCKETNAME=$1
echo Checking: $BUCKETNAME

echo Size of objects, number of objects
set result=`aws s3api list-objects --bucket $BUCKETNAME --output json --query "[sum(Contents[].Size), length(Contents[])]"`

echo Number of Objects: $3
echo Size of Objects: $2

wyllie

#!/bin/bash

# remove containers that have exited
docker rm -v $(docker ps -a -q -f status=exited)

# remove images that are not being used
docker rmi -f $(docker images -a "dangling=true" -q)

# remove volumes that are not being used
docker volume rm $(docker volume ls -qf dangling=true)

wyllie

# This is an interesting way to profile code
# Probably would not be too hard to add some foo activate/deactivate it
# and then maybe use it in integration test code.  The decorator will
# produce a file called <function_being_profiled>.profile which can
# be processed with 'snakeviz' (pip install snakeviz)

import cProfile
import functools

def profile_this(func):                                                         

wyllie

repo_name/
    README.md - yeah, do us a favor and give us a quick overview of what this is and how to use it
    PackageName/
        ModuleName/
            __init__.py
            module_file_1.py
            module_file_2.py
            ...
        AnotherModule/
            __init__.py

wyllie

#!/usr/bin/env bash

INI_FILE=~/.aws/credentials

while IFS=' = ' read key value
do
    if [[ $key == \[*] ]]; then
        section=$key
    elif [[ $value ]] && [[ $section == '[default]' ]]; then
        if [[ $key == 'aws_access_key_id' ]]; then

wyllie

#!/usr/bin/env sh

aws ec2 describe-network-interfaces --filters "Name=vpc-id,Values=vpc-53acd32a" \
	| jq -r '.NetworkInterfaces[] | select(.Description | contains("Lambda")) | .RequesterId, .Attachment'
#.RequesterId, .Description, .Attachment.AttachTime'