bigchaindb/deploy-cluster-aws/get_elastic_ips.py

66 lines
2.0 KiB
Python

# -*- coding: utf-8 -*-
""" Create Elastic IPs and assign them to instances if needed.
"""
from __future__ import unicode_literals
import os
import boto3
import argparse
import time
AWS_ACCESS_KEY_ID = os.environ['AWS_ACCESS_KEY_ID']
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY']
AWS_REGION = os.environ['AWS_REGION']
parser = argparse.ArgumentParser()
parser.add_argument("--tag", help="tag instances in aws")
args = parser.parse_args()
if args.tag:
tag = args.tag
else:
# reading credentials from config for remote connection
print('usage: python get_elastic_ips.py --tag <tag>')
print('reason: tag missing!!!')
exit(1)
# Connect to Amazon EC2
ec2 = boto3.resource(service_name='ec2',
region_name=AWS_REGION,
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
# Get a list of all instances with the specified tag.
# (Technically, instances_with_tag is an ec2.instancesCollection.)
instances_with_tag = ec2.instances.filter(
Filters=[{'Name': 'tag:Name', 'Values': [tag]}]
)
print('Allocating elastic IP addresses and assigning them to the instances...')
for instance in instances_with_tag:
# Create a client from the ec2 resource
# See http://boto3.readthedocs.org/en/latest/guide/clients.html
client = ec2.meta.client
# Acquire an Elastic IP address
# response is a dict. See http://tinyurl.com/z2n7u9k
response = client.allocate_address(DryRun=False, Domain='standard')
public_ip = response['PublicIp']
print('public_ip = {}'.format(public_ip))
# Associate that Elastic IP address with an instance
response2 = client.associate_address(
DryRun=False,
InstanceId=instance.instance_id,
PublicIp=public_ip
)
print('was associated with the instance with id {}'.
format(instance.instance_id))
# Make sure all IP addresses are assigned...
print('Waiting 30 seconds to make sure all IP addresses are assigned...')
time.sleep(30)