blob: c199089105294bfea4d771e2f31212cbbcc13ac7 [file] [log] [blame]
#!/usr/bin/python
# *****************************************************************************
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# ******************************************************************************
import logging
import json
import sys
import dlab.fab
import dlab.actions_lib
import dlab.meta_lib
import traceback
import os
import boto3
import uuid
def terminate_nb(nb_tag_value, bucket_name, tag_name):
print('Terminating EMR cluster and cleaning EMR config from S3 bucket')
try:
clusters_list = dlab.meta_lib.get_emr_list(nb_tag_value, 'Value')
if clusters_list:
for cluster_id in clusters_list:
client = boto3.client('emr')
cluster = client.describe_cluster(ClusterId=cluster_id)
cluster = cluster.get("Cluster")
emr_name = cluster.get('Name')
print('Cleaning bucket from configs for cluster {}'.format(emr_name))
dlab.actions_lib.s3_cleanup(bucket_name, emr_name, os.environ['project_name'])
print("The bucket {} has been cleaned successfully".format(bucket_name))
print('Terminating cluster {}'.format(emr_name))
dlab.actions_lib.terminate_emr(cluster_id)
print("The EMR cluster {} has been terminated successfully".format(emr_name))
else:
print("There are no EMR clusters to terminate.")
except:
sys.exit(1)
print("Terminating data engine cluster")
try:
dlab.actions_lib.remove_ec2('dataengine_notebook_name', nb_tag_value)
except:
sys.exit(1)
print("Terminating notebook")
try:
dlab.actions_lib.remove_ec2(tag_name, nb_tag_value)
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
dlab.actions_lib.create_aws_config_files()
print('Generating infrastructure names and tags')
notebook_config = dict()
notebook_config['service_base_name'] = (os.environ['conf_service_base_name'])
notebook_config['notebook_name'] = os.environ['notebook_instance_name']
notebook_config['project_name'] = os.environ['project_name']
notebook_config['endpoint_name'] = os.environ['endpoint_name']
notebook_config['bucket_name'] = '{0}-{1}-{2}-bucket'.format(notebook_config['service_base_name'],
notebook_config['project_name'],
notebook_config['endpoint_name']
).lower().replace('_', '-')
notebook_config['tag_name'] = notebook_config['service_base_name'] + '-tag'
try:
logging.info('[TERMINATE NOTEBOOK]')
print('[TERMINATE NOTEBOOK]')
try:
terminate_nb(notebook_config['notebook_name'], notebook_config['bucket_name'], notebook_config['tag_name'])
except Exception as err:
traceback.print_exc()
dlab.fab.append_result("Failed to terminate notebook.", str(err))
raise Exception
except:
sys.exit(1)
try:
with open("/root/result.json", 'w') as result:
res = {"notebook_name": notebook_config['notebook_name'],
"Tag_name": notebook_config['tag_name'],
"user_own_bucket_name": notebook_config['bucket_name'],
"Action": "Terminate notebook server"}
print(json.dumps(res))
result.write(json.dumps(res))
except Exception as err:
dlab.fab.append_result("Error with writing results", str(err))
sys.exit(1)