blob: 679d4eb8dc1468bfeaa2a01e287c0fdaf9fd8e90 [file] [log] [blame]
#!/usr/bin/python
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#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# 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
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# ******************************************************************************
import logging
import json
import sys
import dlab.fab
import dlab.actions_lib
import dlab.meta_lib
from fabric.api import *
import traceback
import os
import uuid
import boto3
import argparse
import sys
def stop_notebook(nb_tag_value, bucket_name, tag_name, ssh_user, key_path):
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:
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')
dlab.actions_lib.s3_cleanup(bucket_name, emr_name, os.environ['project_name'])
print("The bucket {} has been cleaned successfully".format(bucket_name))
dlab.actions_lib.terminate_emr(cluster_id)
print("The EMR cluster {} has been terminated successfully".format(emr_name))
dlab.actions_lib.remove_kernels(emr_name, tag_name, nb_tag_value, ssh_user, key_path, emr_version,
computational_name)
print("{} kernels have been removed from notebook successfully".format(emr_name))
else:
print("There are no EMR clusters to terminate.")
except:
sys.exit(1)
print("Stopping data engine cluster")
try:
cluster_list = []
master_ids = []
cluster_instances_list = dlab.meta_lib.get_ec2_list('dataengine_notebook_name', nb_tag_value)
for instance in cluster_instances_list:
for tag in instance.tags:
if tag['Key'] == 'Type' and tag['Value'] == 'master':
master_ids.append(instance.id)
for id in master_ids:
for tag in dlab.meta_lib.get_instance_attr(id, 'tags'):
if tag['Key'] == 'Name':
cluster_list.append(tag['Value'].replace(' ', '')[:-2])
dlab.actions_lib.stop_ec2('dataengine_notebook_name', nb_tag_value)
except:
sys.exit(1)
print("Stopping notebook")
try:
dlab.actions_lib.stop_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'
notebook_config['key_path'] = os.environ['conf_key_dir'] + '/' + os.environ['conf_key_name'] + '.pem'
logging.info('[STOP NOTEBOOK]')
print('[STOP NOTEBOOK]')
try:
stop_notebook(notebook_config['notebook_name'], notebook_config['bucket_name'], notebook_config['tag_name'],
os.environ['conf_os_user'], notebook_config['key_path'])
except Exception as err:
print('Error: {0}'.format(err))
dlab.fab.append_result("Failed to stop notebook.", str(err))
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": "Stop 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)