blob: 1363eb875582a4ad5b4006eb37a242e7868d95cb [file] [log] [blame]
#!/usr/bin/python
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#
# 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
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# ******************************************************************************
import logging
import json
import sys
import dlab.fab
import dlab.actions_lib
import dlab.meta_lib
import os
import traceback
import uuid
def terminate_data_engine(resource_group_name, notebook_name, os_user, key_path, cluster_name):
print("Terminating data engine cluster")
try:
for vm in AzureMeta.compute_client.virtual_machines.list(resource_group_name):
if "Name" in vm.tags:
if cluster_name == vm.tags["Name"]:
AzureActions.remove_instance(resource_group_name, vm.name)
print("Instance {} has been terminated".format(vm.name))
except Exception as err:
dlab.fab.append_result("Failed to terminate dataengine", str(err))
sys.exit(1)
print("Removing Data Engine kernels from notebook")
try:
AzureActions.remove_dataengine_kernels(resource_group_name, notebook_name, os_user, key_path, cluster_name)
except Exception as err:
dlab.fab.append_result("Failed to remove dataengine kernels from notebook", str(err))
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
AzureMeta = dlab.meta_lib.AzureMeta()
AzureActions = dlab.actions_lib.AzureActions()
print('Generating infrastructure names and tags')
data_engine = dict()
if 'exploratory_name' in os.environ:
data_engine['exploratory_name'] = os.environ['exploratory_name']
else:
data_engine['exploratory_name'] = ''
if 'computational_name' in os.environ:
data_engine['computational_name'] = os.environ['computational_name']
else:
data_engine['computational_name'] = ''
data_engine['service_base_name'] = os.environ['conf_service_base_name']
data_engine['resource_group_name'] = os.environ['azure_resource_group_name']
data_engine['user_name'] = os.environ['edge_user_name']
data_engine['project_name'] = os.environ['project_name']
data_engine['endpoint_name'] = os.environ['endpoint_name']
data_engine['cluster_name'] = '{}-{}-{}-de-{}'.format(data_engine['service_base_name'],
data_engine['project_name'],
data_engine['endpoint_name'],
data_engine['computational_name'])
data_engine['notebook_name'] = os.environ['notebook_instance_name']
data_engine['key_path'] = '{}{}.pem'.format(os.environ['conf_key_dir'], os.environ['conf_key_name'])
try:
logging.info('[TERMINATE DATA ENGINE]')
print('[TERMINATE DATA ENGINE]')
try:
terminate_data_engine(data_engine['resource_group_name'], data_engine['notebook_name'],
os.environ['conf_os_user'], data_engine['key_path'], data_engine['cluster_name'])
except Exception as err:
traceback.print_exc()
dlab.fab.append_result("Failed to terminate Data Engine.", str(err))
raise Exception
except:
sys.exit(1)
try:
with open("/root/result.json", 'w') as result:
res = {"service_base_name": data_engine['service_base_name'],
"Action": "Terminate Data Engine"}
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)