def main()

in blogs/ecs-canary-deployments-pipeline/setup/scripts/delete_blog_contents.py [0:0]
65 lines of code
23 McCabe index (conditional complexity)

def main():
    """ Main function. """
    apps = [
        'yelb-ui',
        'yelb-appserver',
        'yelb-redisserver',
        'yelb-db'
    ]

    #1. List the CFN Stacks and filter by the prefix 'ecs-blogpost'(which was the default EnvironmentName)
    stacks_tobe_deleted = _list_stacks()

    #2.1 Update the VR to set the routes to empty
    _delete_route(apps)

    #2.2 Delete the SSM Parameters created by Canary Stack.
    _delete_ssm_params(apps)

    #2.3 Iterate through the stacks_tobe_deleted, filter the canary stacks and delete them.
    for app in apps:
        for stack in stacks_tobe_deleted:
            pattern = '{}-{}-'.format(ENVIRONMENT_NAME, app)
            if stack.startswith(pattern):
                _delete_cfn_stack(stack)
                stacks_tobe_deleted.remove(stack)
            else:
                continue

    #3. Iterate through the stacks_tobe_deleted, filter the app specific pipeline stack.
    if _delete_ecr_images(apps):
        for app in apps:
            for stack in stacks_tobe_deleted:
                pattern = '{}-pipeline-{}'.format(ENVIRONMENT_NAME, app)
                if stack.startswith(pattern):
                    _delete_cfn_stack(stack)
                    stacks_tobe_deleted.remove(stack)

    #4. Find the S3 bucket which hosted Pipeline artifacts.
    for stack in stacks_tobe_deleted:
        pattern = '{}-deployment-stepfunctions'.format(ENVIRONMENT_NAME)
        if stack.startswith(pattern):
            response = CFN_CLIENT.describe_stacks(
                StackName=stack
            )['Stacks'][0]['Outputs']

            for output in response:
                pattern = '{}-deployment-'.format(ENVIRONMENT_NAME)
                if (output['OutputValue']).startswith(pattern):
                    if S3_RESOURCE.Bucket(output['OutputValue']) in S3_RESOURCE.buckets.all():
                        bucket = S3_RESOURCE.Bucket(output['OutputValue'])
                        bucket.objects.all().delete()
                    else:
                        break
            _delete_cfn_stack(stack)
            stacks_tobe_deleted.remove(stack)

    #4.1 Find the S3 bucket which we created externally to support artifacts attachment into Lambda functions.
    pattern = 'ecs-canary-blogpost-cloudformation-files-'
    buckets_list = S3_CLIENT.list_buckets()

    for bucket in buckets_list['Buckets']:
        if bucket["Name"].startswith(pattern):
            print(f'{bucket["Name"]} is about to be deleted')
            bucket = S3_RESOURCE.Bucket(bucket["Name"])
            bucket.objects.all().delete()
            bucket.delete()

    #5. Delete the Monitoring Stack.
    for stack in stacks_tobe_deleted:
        pattern = '{}-monitoring-resources'.format(ENVIRONMENT_NAME)
        if stack.startswith(pattern):
            _delete_cfn_stack(stack)
            stacks_tobe_deleted.remove(stack)

    #6. Delete the clusterresources Stack.
    for stack in stacks_tobe_deleted:
        pattern = '{}-clusterresources'.format(ENVIRONMENT_NAME)
        if stack.startswith(pattern):
            _delete_cfn_stack(stack)
            stacks_tobe_deleted.remove(stack)

    #7. Delete the VPC Stack.
    for stack in stacks_tobe_deleted:
        pattern = '{}-vpc'.format(ENVIRONMENT_NAME)
        if stack.startswith(pattern):
            _delete_cfn_stack(stack)
            stacks_tobe_deleted.remove(stack)
    print("Cleanup Done Successfully...Have a good day!")