Pause an AWS Redshift Cluster

import boto3 creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] # Check if 'cluster_identifier' has been provided from the parent task. If not, initialize it to an empty string. cluster_identifier = cluster_identifier if 'cluster_identifier' in locals() else "" def pause_redshift_cluster(cluster_id, region): try: redshift = boto3.client('redshift', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) # Attempt to pause the specified Redshift cluster response = redshift.pause_cluster(ClusterIdentifier=cluster_id) # Check the cluster status to confirm the pause operation if response['Cluster']['ClusterStatus'] == 'pausing': print(f"Pausing cluster {cluster_id}.") return True else: print(f"Unexpected status {response['Cluster']['ClusterStatus']} for cluster {cluster_id}.") return False # Handle specific exceptions except redshift.exceptions.ClusterNotFoundFault: print(f"Cluster {cluster_id} not found.") return False except redshift.exceptions.InvalidClusterStateFault: print(f"Cluster {cluster_id} is in an invalid state for pausing.") return False except redshift.exceptions.ClusterSnapshotAlreadyExistsFault: print(f"A snapshot for cluster {cluster_id} already exists. Please delete or rename before pausing.") return False except redshift.exceptions.UnauthorizedOperation: print(f"Unauthorized to pause cluster {cluster_id}. Check your AWS IAM permissions.") return False # Handle general exceptions except Exception as e: print(f"Error pausing cluster {cluster_id}: {e}") return False def process_pause_operation(cluster_identifier, region): if not cluster_identifier.strip(): # Check if cluster_identifier is an empty string or None print("No Redshift Cluster provided for pausing") return # Exit the function early # Try pausing the cluster and print feedback success = pause_redshift_cluster(cluster_identifier, region) if success: print("Pause operation initiated successfully.") else: print("Failed to initiate pause operation.") process_pause_operation(cluster_identifier,pause_cluster_region) context.proceed = False