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def migrate(instances_list):
    # create boto3 client for ec2 for both source and destination region
    client_src = boto3.client('ec2', region_name=os.getenv('SOURCE_REGION'))
    client_des = boto3.client('ec2', region_name=os.getenv('DESTINATION_REGION'))
    # create ec2 resource
    ec2 = boto3.resource('ec2', region_name=os.getenv('DESTINATION_REGION'))
    total_instances = len(instances_list)
    # iterate through list of intances in source region to be migrated
    for n, instance in enumerate(instances_list):
        try:

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def launch_instance(image_id, instance_id, client_src, client_des, ec2_resource_des):
    # create waiter for destination instance to check if instance status is `ok`
    waiter = client_des.get_waiter('instance_status_ok')
    # get the source instance details needed for launching the instance
    instance_detail = get_instance_details(instance_id, client_src)
    # launch instance using create_instances() method of ec2 resource
    try:
        response = ec2_resource_des.create_instances(
            ImageId=image_id,
            InstanceType=instance_detail['instance_type'],

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def copy_image_to_destination_region(image_id, instance_id, client):
    waiter = client.get_waiter('image_available')
    source_region = os.getenv('SOURCE_REGION')
    # call copy_image to copy the AMI from source region to destination
    response = client.copy_image(
        Description='Copied image of instance: ' + instance_id + ' from region: ' + source_region,
        Name='new image of instance ' + instance_id,
        SourceImageId=image_id,
        SourceRegion=source_region,
    )

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def create_image_of_instance(instance_id, client):
    waiter = client.get_waiter('image_available')
    # call create_image to create AMI of given instance
    response = client.create_image(InstanceId=instance_id, Name="latest-image-of-" + instance_id)
    print('Creating image, this may take few minutes...')
    waiter.wait(ImageIds=[response['ImageId']], DryRun=False)
    return response['ImageId']

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# create boto3 client for ec2 for both source and destination region
client_src = boto3.client('ec2', region_name=os.getenv('SOURCE_REGION'))
client_des = boto3.client('ec2', region_name=os.getenv('DESTINATION_REGION'))
# create ec2 resource
ec2 = boto3.resource('ec2', region_name=os.getenv('DESTINATION_REGION'))

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# create boto3 client for ec2 for both source and destination region
client_src = boto3.client('ec2', region_name=os.getenv('SOURCE_REGION'))
client_des = boto3.client('ec2', region_name=os.getenv('DESTINATION_REGION'))
# create ec2 resource
ec2 = boto3.resource('ec2', region_name=os.getenv('DESTINATION_REGION'))

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def stop_instance(instance_id, client):
    waiter = client.get_waiter('instance_stopped')
    # call stop_instances to stop the instance 
    response = client.stop_instances(InstanceIds=[instance_id], DryRun=False)
    # waiter waits until the stop operation is complete
    print('Stopping instance, this may take few minutes...')
    waiter.wait(InstanceIds=[instance_id,], DryRun=False)
    return dict(success=True)

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function initSparkline() {
    $(".sparkline").each(function () {
        var a = $(this);
        a.sparkline("html", a.data())
    })
}

function skinChanger() {
    $(".choose-skin li").on("click", function () {
        var a = $("body"),

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'use strict';

const crypto = require('crypto');
const pool = require('./pg')

// const ENCRYPTION_KEY = process.env.ENCRYPTION_KEY; // Must be 256 bits (32 characters)
// this is always stored in env file but for demonstration purpose, I have added it here
const ENCRYPTION_KEY = "bPeShVmYq3s6v9y$B&E)H@McQfTjWnZr"
const IV_LENGTH = 16; // For AES, this is always 16

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# This workflow will build and push a new container image to Amazon ECR
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ECR repository to store your images.
#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
#    Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
#    Replace the value of `aws-region` in the workflow below with your repository's region.

on: