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import configparser
from os.path import expanduser
from libcloud.compute.base import NodeImage
from libcloud.compute.providers import get_driver
from libcloud.compute.types import Provider
home = expanduser("~")
# requirements:
# services: EC2
# resources: 2 instances (1 keypair, 2 security groups)
# optionally also elastic ip (comparable to floating ip) offering a persistent public
# IP, but elastic ips are expensive - make sure to delete them after you used them
# The image to look for and use for the started instance
ubuntu_image_name = 'ubuntu/images/hvm-ssd/ubuntu-bionic-18.04-amd64-server-20210128'
# TODO: 18.04, currently still needed for faafo, need to port faafo demo app to 20.04 or higher and python3...
# The public key to be used for SSH connection, please make sure, that you have the corresponding private key
# use existing vockey in AWS Lab env from vocareum, enables login directly
# from the lab's terminal:
#
# ssh -i ~/.ssh/labuser.pem ubuntu@<public-ip>
keypair_name = "vockey"
# keypair_name = 'srieger-pub'
# pub_key_file = home + '/.ssh/id_rsa.pub'
# id_rsa.pub should look like this (standard sshd pubkey format):
# ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAw+J...F3w2mleybgT1w== user@HOSTNAME
# flavor_name = 't2.nano'
# t2.nano only has 512 MB RAM, pip install will cause out of memory (OOM), install-aws.sh cloud-init script uses swap
# to circumvent this issue, but t2.micro is also cheap and has 1 GB RAM which is sufficient for faafo example
flavor_name = 't2.micro'
# default region
# region_name = 'eu-central-1'
# region_name = 'ap-south-1'
# AWS Academy Labs only allow us-east-1 see our AWS Academy Lab Guide, https://awsacademy.instructure.com/login/
region_name = 'us-east-1'
# starting instances in AWS Academy takes significantly longer compared to paid AWS accounts, allow ~ >2 minutes timeout
timeout = 600
def main():
###########################################################################
#
# get credentials
#
###########################################################################
# see AWS Academy Lab for Account Details
# read credentials from file
config = configparser.ConfigParser()
config.read_file(open(home + '/.aws/credentials'))
aws_access_key_id = config['default']['aws_access_key_id']
aws_secret_access_key = config['default']['aws_secret_access_key']
aws_session_token = config['default']['aws_session_token']
# hard coded AWS credentials using vars
# aws_access_key_id = "ASIAX..."
# aws_secret_access_key = "WLxxXK+..."
# aws_session_token = "FwoGZXIvYXdzEMb//////////wEaDE5rX.......0SleZ+L75I9iEri9LA4hovWul8HvexhCBK8.......................Ae/T+VkUbcQRtJEDwg+gYCABuk0JlSj5Wk7YA65r3BSNJXZFpkhbek6VBjvE/cEt5fKZEhENcdFxjAcAJLd6bOWi/oGXU5e3PX3mcXgm0oJpz6h3wqD1LvSDtw5GDwn0BHiF1Mu.......................cm/VukK5F"
###########################################################################
#
# create connection
#
###########################################################################
provider = get_driver(Provider.EC2)
conn = provider(aws_access_key_id,
aws_secret_access_key,
token=aws_session_token,
region=region_name)
###########################################################################
#
# get image, flavor, network for instance creation
#
###########################################################################
print("Search for AMI...")
image = conn.list_images(ex_filters={"name": ubuntu_image_name})[0]
print("Using image: %s" % image)
# print("Fetching images (AMI) list from AWS region. This will take a lot of seconds (AWS has a very long list of "
# "supported operating systems and versions)... please be patient...")
# image = ''
# for img in images:
# # if img.name == ubuntu_image_name:
# if img.extra['owner_alias'] == 'amazon':
# print(img)
# if img.id == ubuntu_image_name:
# image = img
# fetch/select the image referenced with ubuntu_image_name above
# image = [i for i in images if i.name == ubuntu_image_name][0]
# print(image)
# select image directly to save time, as retrieving the image list takes several minutes now,
# need to change ami id here if updated or for other regions, id is working for course in
# summer term 2022, in region: us-east-1 and pointing to ubuntu 18.04 used in the instance wizard,
# to update AMI id use the create instance wizard and copy amd64 image id for ubuntu 18.04 in the
# desired region
# image = NodeImage(id="ami-0e472ba40eb589f49",
# name=ubuntu_image_name,
# driver="hvm")
flavors = conn.list_sizes()
flavor = [s for s in flavors if s.id == flavor_name][0]
print(flavor)
# networks = conn.ex_list_networks()
# network = ''
# for net in networks:
# if net.name == project_network:
# network = net
###########################################################################
#
# create keypair dependency
#
###########################################################################
print('Checking for existing SSH key pair...')
keypair_exists = False
for keypair in conn.list_key_pairs():
if keypair.name == keypair_name:
keypair_exists = True
if keypair_exists:
print('Keypair ' + keypair_name + ' already exists. Skipping import.')
else:
print('adding keypair...')
conn.import_key_pair_from_file(keypair_name, pub_key_file)
for keypair in conn.list_key_pairs():
print(keypair)
###########################################################################
#
# create security group dependency
#
###########################################################################
print('Checking for existing worker security group...')
worker_security_group_exists = False
worker_security_group_name = 'worker'
for security_group in conn.ex_get_security_groups():
if security_group.name == worker_security_group_name:
worker_security_group_id = security_group.id
worker_security_group_exists = True
if worker_security_group_exists:
print('Worker Security Group ' + worker_security_group_name + ' already exists. Skipping creation.')
else:
worker_security_group_result = conn.ex_create_security_group('worker', 'for services that run on a worker node')
worker_security_group_id = worker_security_group_result['group_id']
conn.ex_authorize_security_group_ingress(worker_security_group_id, 22, 22, cidr_ips=['0.0.0.0/0'],
protocol='tcp')
print('Checking for existing controller security group...')
controller_security_group_exists = False
controller_security_group_name = 'control'
controller_security_group_id = ''
for security_group in conn.ex_get_security_groups():
if security_group.name == controller_security_group_name:
controller_security_group_id = security_group.id
controller_security_group_exists = True
if controller_security_group_exists:
print('Controller Security Group ' + controller_security_group_name + ' already exists. Skipping creation.')
else:
controller_security_group_result = conn.ex_create_security_group('control',
'for services that run on a control node')
controller_security_group_id = controller_security_group_result['group_id']
conn.ex_authorize_security_group_ingress(controller_security_group_id, 22, 22, cidr_ips=['0.0.0.0/0'],
protocol='tcp')
conn.ex_authorize_security_group_ingress(controller_security_group_id, 80, 80, cidr_ips=['0.0.0.0/0'],
protocol='tcp')
conn.ex_authorize_security_group_ingress(controller_security_group_id, 5672, 5672,
group_pairs=[{'group_id': worker_security_group_id}], protocol='tcp')
# for security_group in conn.ex_list_security_groups():
# print(security_group)
###########################################################################
#
# create app-controller
#
###########################################################################
# https://git.openstack.org/cgit/openstack/faafo/plain/contrib/install.sh
# is currently broken, hence the "rabbitctl" lines were added in the example
# below, see also https://bugs.launchpad.net/faafo/+bug/1679710
#
# Thanks to Stefan Friedmann for finding this fix ;)
userdata = '''#!/usr/bin/env bash
curl -L -s https://gogs.informatik.hs-fulda.de/srieger/cloud-computing-msc-ai-examples/raw/master/faafo/contrib/install-aws.sh | bash -s -- \
-i messaging -i faafo -r api
rabbitmqctl add_user faafo guest
rabbitmqctl set_user_tags faafo administrator
rabbitmqctl set_permissions -p / faafo ".*" ".*" ".*"
'''
print('Starting new app-controller instance and wait until it is running (can take several minutes in free AWS'
' academy accounts compared to seconds when using a regular paid AWS account), timeout %i seconds...'
% timeout)
instance_controller_1 = conn.create_node(name='app-controller',
image=image,
size=flavor,
ex_keyname=keypair_name,
ex_userdata=userdata,
ex_security_groups=[controller_security_group_name])
wait_until_running_result = conn.wait_until_running(nodes=[instance_controller_1], timeout=timeout, ssh_interface='public_ips')
instance_controller_1, node_addresses = wait_until_running_result[0]
###########################################################################
#
# assign app-controller elastic ip
#
###########################################################################
# AWS offers elastic ips, that have the same function as floating IPs in OpenStack. However, elastic IPs cost money,
# and instances typically already have public IP in AWS, what a luxury ;) so I commented out elastic IP creation to
# save your AWS academy budget
# print('Checking for unused Elastic IP...')
# unused_elastic_ip = None
# for elastic_ip in conn.ex_describe_all_addresses():
# if not elastic_ip.instance_id:
# unused_elastic_ip = elastic_ip
# break
#
# if not unused_elastic_ip:
# print('Allocating new Elastic IP')
# unused_elastic_ip = conn.ex_allocate_address()
# conn.ex_associate_address_with_node(instance_controller_1, unused_elastic_ip)
# print('Controller Application will be deployed to http://%s' % unused_elastic_ip.ip)
###########################################################################
#
# getting id and ip address of app-controller instance
#
###########################################################################
# instance_controller_1 = conn.list_nodes(ex_node_ids=instance_controller_1.id)
public_ip_controller = instance_controller_1.public_ips[0]
print('Controller Application %s will be reachable after cloud-init has run at http://%s, you can also connect'
% (instance_controller_1.id, public_ip_controller) +
' via ssh ubuntu@%s' % public_ip_controller)
# get private IP of instance to use in worker/service instances to connect to the controller
private_ip_controller = instance_controller_1.private_ips[0]
###########################################################################
#
# create app-worker-1
#
###########################################################################
userdata = '''#!/usr/bin/env bash
curl -L -s https://gogs.informatik.hs-fulda.de/srieger/cloud-computing-msc-ai-examples/raw/master/faafo/contrib/install-aws.sh | bash -s -- \
-i faafo -r worker -e 'http://%(ip_controller)s' -m 'amqp://faafo:guest@%(ip_controller)s:5672/'
''' % {'ip_controller': private_ip_controller}
print('Starting new app-worker-1 instance and wait until it is running...')
instance_worker_1 = conn.create_node(name='app-worker-1',
image=image,
size=flavor,
ex_keyname=keypair_name,
ex_userdata=userdata,
ex_security_groups=[worker_security_group_name])
wait_until_running_result = conn.wait_until_running(nodes=[instance_worker_1], timeout=timeout, ssh_interface='public_ips')
instance_worker_1, node_addresses = wait_until_running_result[0]
print('Worker instance %s has private ip: %s ' % (instance_worker_1.id, instance_worker_1.private_ips[0]))
###########################################################################
#
# assign app-worker elastic ip
#
###########################################################################
# AWS offers elastic ips, that have the same function as floating IPs in OpenStack. However, elastic IPs cost money,
# and instances typically already have public IP in AWS, what a luxury ;) so I commented out elastic IP creation to
# save your AWS academy budget
# print('Checking for unused Elastic IP...')
# unused_elastic_ip = None
# for elastic_ip in conn.ex_describe_all_addresses():
# if not elastic_ip.instance_id:
# unused_elastic_ip = elastic_ip
# break
#
# if not unused_elastic_ip:
# print('Allocating new Elastic IP')
# unused_elastic_ip = conn.ex_allocate_address()
# conn.ex_associate_address_with_node(instance_worker_1, unused_elastic_ip)
# print('The worker will be available for SSH at %s' % unused_elastic_ip.ip)
#
print('You can use ssh to login to the controller using your private key. After login, you can list available '
'fractals using "faafo list". To request the generation of new fractals, you can use "faafo create". '
'You can also see other options to use the faafo example cloud service using "faafo -h".')
if __name__ == '__main__':
main()