infrastructure-provisioning/src/general/scripts/aws/dataengine-service_terminate.py

#!/usr/bin/python

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from dlab.meta_lib import *
from dlab.actions_lib import *
import boto3
import argparse
import sys
import os


def terminate_emr_cluster(emr_name, bucket_name, tag_name, nb_tag_value, ssh_user, key_path):
    print('Terminating EMR cluster and cleaning EMR config from S3 bucket')
    try:
        clusters_list = get_emr_list(emr_name, 'Value')
        if clusters_list:
            for cluster_id in clusters_list:
                computational_name = ''
                client = boto3.client('emr')
                cluster = client.describe_cluster(ClusterId=cluster_id)
                cluster = cluster.get("Cluster")
                emr_name = cluster.get('Name')
                emr_version = cluster.get('ReleaseLabel')
                for tag in cluster.get('Tags'):
                    if tag.get('Key') == 'ComputationalName':
                        computational_name = tag.get('Value')
                s3_cleanup(bucket_name, emr_name, os.environ['project_name'])
                print("The bucket {} has been cleaned successfully".format(bucket_name))
                terminate_emr(cluster_id)
                print("The EMR cluster {} has been terminated successfully".format(emr_name))
                print("Removing EMR kernels from notebook")
                remove_kernels(emr_name, tag_name, nb_tag_value, ssh_user, key_path,
                               emr_version, computational_name)
        else:
            print("There are no EMR clusters to terminate.")
    except:
        sys.exit(1)


if __name__ == "__main__":
    local_log_filename = "{}_{}_{}.log".format(os.environ['conf_resource'], os.environ['project_name'],
                                               os.environ['request_id'])
    local_log_filepath = "/logs/" + os.environ['conf_resource'] + "/" + local_log_filename
    logging.basicConfig(format='%(levelname)-8s [%(asctime)s]  %(message)s',
                        level=logging.DEBUG,
                        filename=local_log_filepath)

    # generating variables dictionary
    create_aws_config_files()
    print('Generating infrastructure names and tags')
    emr_conf = dict()
    emr_conf['service_base_name'] = os.environ['conf_service_base_name'] = replace_multi_symbols(
            os.environ['conf_service_base_name'].lower()[:12], '-', True)
    emr_conf['emr_name'] = os.environ['emr_cluster_name']
    emr_conf['notebook_name'] = os.environ['notebook_instance_name']
    emr_conf['project_name'] = os.environ['project_name']
    emr_conf['endpoint_name'] = os.environ['endpoint_name']
    emr_conf['bucket_name'] = ('{0}-{1}-{2}-bucket'.format(emr_conf['service_base_name'], emr_conf['project_name'],
                                                           emr_conf['endpoint_name'])).lower().replace('_', '-')
    emr_conf['key_path'] = os.environ['conf_key_dir'] + '/' + os.environ['conf_key_name'] + '.pem'
    emr_conf['tag_name'] = emr_conf['service_base_name'] + '-Tag'

    try:
        logging.info('[TERMINATE EMR CLUSTER]')
        print('[TERMINATE EMR CLUSTER]')
        try:
            terminate_emr_cluster(emr_conf['emr_name'], emr_conf['bucket_name'], emr_conf['tag_name'],
                                  emr_conf['notebook_name'], os.environ['conf_os_user'], emr_conf['key_path'])
        except Exception as err:
            traceback.print_exc()
            append_result("Failed to terminate EMR cluster.", str(err))
            raise Exception
    except:
        sys.exit(1)

    try:
        with open("/root/result.json", 'w') as result:
            res = {"dataengine-service_name": emr_conf['emr_name'],
                   "notebook_name": emr_conf['notebook_name'],
                   "user_own_bucket_name": emr_conf['bucket_name'],
                   "Action": "Terminate EMR cluster"}
            print(json.dumps(res))
            result.write(json.dumps(res))
    except:
        print("Failed writing results.")
        sys.exit(0)