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#!/bin/bash

# Assume the role using locally configured AWS credentials, then pass the assumed role to the container via environment 
# variables!

ASSUMED_ROLE=$(aws sts assume-role \
        --role-arn "arn:aws:iam::000000000000:role/our-role-to-assume" \
        --role-session-name "session_name" \
        --output text)

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a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

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Frontend Masters: AWS for Frontend Engineers

You should have the following completed on your computer before the workshop:

• Install the AWS CLI.
• Have Node.js installed on your system. (Recommended: Use nvm.)
  • Install yarn with brew install yarn.
• Create an AWS account. (This will require a valid credit card.)
• Create a Travis CI account. (This should be as simple as logging in via GitHub).

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docker node ls -q | xargs docker node inspect -f '{{ .ID }} [{{ .Description.Hostname }}]: {{ .Spec.Labels }}'

docker node inspect --pretty swarm
ID:                     xa56lddvm1la1i8f444zw4mop
Labels:
 - env=prod

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docker run --name registry -p 5000:5000 --mount "type=bind,source=$PWD,target=/var/lib/registry" registry
docker: Error response from daemon: invalid mount config for type "bind": invalid mount path: 'C:/Users/user/sources' mount path must be absolute

# right way
export MSYS_NO_PATHCONV=1

# workaround - double //
source=//c//Users//user//sources//project

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# Problem
# Mounting folders outside the users folder on windows is not working
cd ~/sources/../
docker run --rm -it -v .:/mnt alpine ls -1 /mnt
empty

# Workaround:
Since Docker Machine mounts Windows user folder we will deceive it.
# Windows
Move source folder to c:/Users/username/

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# If docker client is running on different host than docker daemon the bind mount is likely looking for folder mount on the host where daemon instead of local 

export DOCKER_HOST=tcp://REMOTE:2375
docker volume create data-volume
docker create -v data-volume:/data --name helper alpine true
docker cp . helper:/data
docker rm helper
docker run --rm -it -v data-volume:/data alpine sh	

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import openai
import nltk

nltk.download('punkt')

openai.api_key = "XXXXXXXX"

def split_sentences(text, max_length):
    """
    splitting text into chunks by sentences, not exceeding a specified maximum .

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# Vagrant With Windows, WSL2 and Hyper-V
To say getting this configuration working is a pain in the ass is an understatement. However, once it is working correctly you gain access to tools like Ansible and full performance VMs inside Windows. This guide covers the steps I followed to get things working correctly with this configuration. It is possible that something may not work for you however I have been able to reproduce this success on two Windows 11 Pro machines and expect this to work for others.

This guide assumes basic knowledge of Windows and Linux systems and how Vagrant operates. Due to the difficulty of setting this up you may need to do some additional troubleshooting

## Requirements
* Windows Professional - Hyper-V can only be installed on Windows Professional systems or higher
* WSL2 - Due to the massive differences between WSL1 and WSL2 this guide will only cover support for WSL2
* CPU Virtualization - While the vast majority of modern CPUs support virtualization you may need to enable it in

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Tereminal 1:
socat TCP-L:12345,fork,reuseaddr EXEC:'sqlite3 /home/user/sources/test.db',pty

Terminal 2:
telnet localhost 12345
Trying 127.0.0.1...
Connected to localhost.
Escape character is '^]'.
SQLite version 3.31.1 2020-01-27 19:55:54
Enter ".help" for usage hints.