Detach and Delete AWS EBS Volumes

import boto3 import time creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def detach_and_delete_ebs_volumes(ec2_client, instance_volume_map): """ Detaches and deletes EBS volumes attached to instances. Args: ec2_client (boto3.client): An EC2 client instance. instance_volume_map (dict): Dictionary with instance IDs as keys and associated volume IDs as values. """ try: for instance_id, volume_ids in instance_volume_map.items(): for volume_id in volume_ids: ec2_client.detach_volume(InstanceId=instance_id, VolumeId=volume_id, Force=True) print(f"Detached EBS volume {volume_id} from instance {instance_id}") time.sleep(5) # Wait for a few seconds to ensure detachment is complete otherwise there is a VolumeInUse error try: ec2_client.delete_volume(VolumeId=volume_id) print(f"Deleted EBS volume {volume_id}") except Exception as e: print(f"Error in deleting EBS volume {volume_id}: {e}") except Exception as e: print(f"Error in detaching and deleting EBS volumes: {e}") #regions = ["us-east-1"] # Add your desired regions here for region in regions: # Create an EC2 client instance for the region ec2_client = boto3.client("ec2", aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) if not instance_volume_map: print(f"No volumes attached to stopped instances found in region {region}") else: # Detach and delete the identified EBS volumes detach_and_delete_ebs_volumes(ec2_client, instance_volume_map)