1. Open the AWS Management Console and navigate to the EC2 Dashboard.
2. From the left-hand menu, click on the “Load Balancers” option.
3. Select the ELB that you want to remediate from the list of available load balancers.
4. Click on the “Attributes” tab from the bottom panel.
5. Under the “Connection Settings” section, click on the “Edit” button.
6. In the “Edit Connection Settings” window, check the box next to “Enable Connection Draining”.
7. Set the “Connection Draining Timeout” value to the desired number of seconds (e.g., 300 seconds).
8. Click on the “Save” button to save the changes.
9. Verify that the “Connection Draining” attribute is now enabled for the selected ELB.

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1. First, import the necessary AWS SDK libraries in your Python script. You will need boto3 and botocore libraries.

import boto3
from botocore.exceptions import ClientError

2. Next, create a boto3 client for the Elastic Load Balancing (ELB) service.

elb_client = boto3.client('elb')

3. Retrieve a list of all the ELBs in your AWS account using the describe_load_balancers() method.

response = elb_client.describe_load_balancers()
load_balancers = response['LoadBalancerDescriptions']

4. For each ELB in the list, check if Connection Draining is enabled by calling the describe_load_balancer_attributes() method.

for lb in load_balancers:
    lb_name = lb['LoadBalancerName']
    response = elb_client.describe_load_balancer_attributes(LoadBalancerName=lb_name)
    attrs = response['LoadBalancerAttributes']
    if 'ConnectionDraining' not in attrs or not attrs['ConnectionDraining']['Enabled']:
        # Connection Draining is not enabled. Remediate the misconfiguration.

5. If Connection Draining is not enabled, use the modify_load_balancer_attributes() method to enable it.

elb_client.modify_load_balancer_attributes(
    LoadBalancerName=lb_name,
    LoadBalancerAttributes={
        'ConnectionDraining': {
            'Enabled': True,
            'Timeout': 300 # Set the timeout value in seconds
        }
    }
)

6. Finally, add appropriate logging and error handling to your script.

try:
    # Put the above code here
except ClientError as e:
    print(f"Error: {e}")