IbXhdciWjypv8Y0MQZa3Filter ASGs: Identify ASGs where both the desired capacity and minimum size are zero.
Filter ASGs: Identify ASGs where both the desired capacity and minimum size are zero.
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.
This task filters ASGs to identify those with both desired capacity and minimum size set to zero involves checking Auto Scaling Groups to find inactive configurations. This process helps in identifying ASGs that are not currently scaling any instances, potentially leading to cleanup actions to optimize resource usage and reduce costs in AWS environments.
inputs
outputs
import boto3
from botocore.exceptions import NoCredentialsError, PartialCredentialsError, BotoCoreError, ClientError
creds = _get_creds(cred_label)['creds']
access_key = creds['username']
secret_key = creds['password']
def filter_asgs(asg_list):
"""
Filter ASGs where both the desired capacity and minimum size are zero.
"""
filtered_asgs = [asg for asg in asg_list if asg['MinSize'] == 0 and asg['DesiredCapacity'] == 0]
return filtered_asgs
def display_asg_details(data):
"""
Display the details of filtered ASGs in a formatted table.
"""
# Initialize table with the desired structure and headers
table = context.newtable()
table.title = "Filtered Auto Scaling Groups"
table.num_cols = 5 # Number of columns according to headers
table.num_rows = 1 # Starts with one row for headers
table.has_header_row = True
# Define header names based on the new structure
headers = ["AutoScalingGroupName", "Region", "MinSize", "MaxSize", "DesiredCapacity"]
# Set headers in the first row
for col_num, header in enumerate(headers):
table.setval(0, col_num, header)
# Populate the table with ASG data
for row_num, asg in enumerate(data, start=1): # Starting from the second row
table.num_rows += 1 # Add a row for each ASG
values = [
asg["AutoScalingGroupName"],
asg["Region"],
str(asg["MinSize"]),
str(asg["MaxSize"]),
str(asg["DesiredCapacity"])
]
for col_num, value in enumerate(values):
table.setval(row_num, col_num, value)
# Assuming asg_list is passed from an upstream task
filtered_asgs = filter_asgs(asg_list)
if filtered_asgs:
display_asg_details(filtered_asgs)
else:
print("No Auto Scaling Groups found with MinSize and DesiredCapacity set to zero.")
context.skip_sub_tasks = True
copied- 1HBJ0gDH9Wt26YazBFB5PDelete AWS EC2 Auto Scaling Groups (ASGs)
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Delete AWS EC2 Auto Scaling Groups (ASGs)
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This task involves removing specified ASGs from the AWS environment. This operation is critical for cleaning up unused or unnecessary resources, managing costs, or decommissioning services.
inputsoutputsimport boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def delete_auto_scaling_groups(filtered_asgs): """ Deletes a list of auto scaling groups provided in filtered_asgs. Each ASG dict must contain 'AutoScalingGroupName' and 'Region'. """ for asg in filtered_asgs: region = asg['Region'] asg_name = asg['AutoScalingGroupName'] try: # Initialize the boto3 client for AutoScaling in the specified region client = boto3.client('autoscaling', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region) # Delete the Auto Scaling group client.delete_auto_scaling_group(AutoScalingGroupName=asg_name, ForceDelete=True) print(f"Successfully requested deletion of ASG: {asg_name} in {region}") except ClientError as e: print(f"Failed to delete ASG: {asg_name} in {region}. Error: {e}") # Example filtered_asgs list #filtered_asgs = [{"AutoScalingGroupName":"test1-asg","AutoScalingGroupARN":"arn:aws:autoscaling:us-east-1:188379622596:autoScalingGroup:4f564e69-b9f3-4d3f-8cfc-5ee7468f1396:autoScalingGroupName/test1-asg","MixedInstancesPolicy":{"LaunchTemplate":{"LaunchTemplateSpecification":{"LaunchTemplateId":"lt-0b4e1233a5006c59b","LaunchTemplateName":"test1-asg-template","Version":"$Default"},"Overrides":[{"InstanceType":"t3.micro"},{"InstanceType":"t3a.micro"}]},"InstancesDistribution":{"OnDemandAllocationStrategy":"prioritized","OnDemandBaseCapacity":0,"OnDemandPercentageAboveBaseCapacity":0,"SpotAllocationStrategy":"price-capacity-optimized"}},"MinSize":0,"MaxSize":0,"DesiredCapacity":0,"DefaultCooldown":300,"AvailabilityZones":["us-east-1a","us-east-1b","us-east-1c"],"LoadBalancerNames":[],"TargetGroupARNs":[],"HealthCheckType":"EC2","HealthCheckGracePeriod":300,"Instances":[],"CreatedTime":"2024-05-27 10:49:04","SuspendedProcesses":[],"VPCZoneIdentifier":"subnet-b8482599,subnet-26325179,subnet-836e58ce","EnabledMetrics":[],"Tags":[],"TerminationPolicies":["Default"],"NewInstancesProtectedFromScaleIn":false,"ServiceLinkedRoleARN":"arn:aws:iam::188379622596:role/aws-service-role/autoscaling.amazonaws.com/AWSServiceRoleForAutoScaling","CapacityRebalance":true,"TrafficSources":[],"Region":"us-east-1"}] # Deleting ASGs delete_auto_scaling_groups(filtered_asgs)copied1