Retrieving public dns of EC2 instance with BOTO3

Question

I'm using ipython to get an understanding of Boto3 and interacting with EC2 instances. Here is the code I'm using to create an instance:

import boto3

ec2 = boto3.resource('ec2')
client = boto3.client('ec2')


new_instance = ec2.create_instances(
    ImageId='ami-d05e75b8',
    MinCount=1,
    MaxCount=1,
    InstanceType='t2.micro',
    KeyName=<name_of_my_key>,
    SecurityGroups=['<security_group_name>'],
    DryRun = False
    )

This starts an EC2 instance fine, and I can get the public DNS name, ip and other info from the AWS console. But, when I try to get the public DNS using Boto, by doing this:

new_instance[0].public_dns_name

Returns blank quotes. Yet, other instance details, such as:

new_instance[0].instance_type

Returns the correct information.

Any ideas? Thanks.

EDIT:

So if I do:

def get_name(inst):
    client = boto3.client('ec2')
    response = client.describe_instances(InstanceIds = [inst[0].instance_id])
    foo = response['Reservations'][0]['Instances'][0]['NetworkInterfaces'][0]['Association']['PublicDnsName']
    return foo


foo = get_name(new_instance)
print foo

Then it will return the public DNS. But it doesn't make sense to me why I need to do all of this.

Answer 1

The Instance object you get back is only hydrated with the response attributes from the create_instances call. Since the DNS name is not available until the instance has reached the running state [1], it will not be immediately present. I imagine the time between you creating the instance and calling describe instances is long enough for the micro instance to start.

import boto3

ec2 = boto3.resource('ec2')
instances = ec2.create_instances(
    ImageId='ami-f0091d91',
    MinCount=1,
    MaxCount=1,
    InstanceType='t2.micro',
    KeyName='<KEY-NAME>',
    SecurityGroups=['<GROUP-NAME>'])
instance = instances[0]

# Wait for the instance to enter the running state
instance.wait_until_running()

# Reload the instance attributes
instance.load()
print(instance.public_dns_name)

Answer 2

import boto3
import pandas as pd
session = boto3.Session(profile_name='aws_dev')
dev_ec2_client = session.client('ec2')
response = dev_ec2_client.describe_instances()
df = pd.DataFrame(columns=['InstanceId', 'InstanceType', 'PrivateIpAddress','PublicDnsName'])
i = 0
for res in response['Reservations']:
    df.loc[i, 'InstanceId'] = res['Instances'][0]['InstanceId']
    df.loc[i, 'InstanceType'] = res['Instances'][0]['InstanceType']
    df.loc[i, 'PrivateIpAddress'] = res['Instances'][0]['PrivateIpAddress']
    df.loc[i, 'PublicDnsName'] = res['Instances'][0]['PublicDnsName']
    i += 1
print df

Note:

1. Change this profile with your AWS profile name profile_name='aws_dev'
2. This code is working for Python3

Answer 3

Here my wrapper:

import boto3
from boto3.session import Session

def credentials():
    """Credentials:"""
    session = Session(aws_access_key_id= 'XXXXXXXXX',
                      aws_secret_access_key= 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx')
    ec2 = boto3.resource('ec2', region_name='us-east-2')
    return ec2

def get_public_dns(instance_id):
    """having the instance_id, gives you the public DNS"""
    ec2 = credentials()
    instance = ec2.Instance(instance_id)
    instancePublicDNS = instance.public_dns_name
    return instancePublicDNS

Then you just need to use your instance_id to get public id of any of your active ec2:

dns = get_public_dns(instance_id)

Remember to change "region_name" to your zone and add your "aws_access_key_id" and "aws_secret_access_key"