| #!/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 os |
| import traceback |
| import uuid |
| from fabric.api import * |
| |
| |
| def start_data_engine(resource_group_name, cluster_name): |
| print("Starting 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.start_instance(resource_group_name, vm.name) |
| print("Instance {} has been started".format(vm.name)) |
| except Exception as err: |
| dlab.fab.append_result("Failed to start dataengine", 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']) |
| try: |
| logging.info('[STARTING DATA ENGINE]') |
| print('[STARTING DATA ENGINE]') |
| try: |
| start_data_engine(data_engine['resource_group_name'], data_engine['cluster_name']) |
| except Exception as err: |
| traceback.print_exc() |
| append_result("Failed to start Data Engine.", str(err)) |
| raise Exception |
| except: |
| sys.exit(1) |
| |
| try: |
| logging.info('[UPDATE LAST ACTIVITY TIME]') |
| print('[UPDATE LAST ACTIVITY TIME]') |
| data_engine['computational_id'] = data_engine['cluster_name'] + '-m' |
| data_engine['notebook_ip'] = AzureMeta.get_private_ip_address(data_engine['resource_group_name'], |
| os.environ['notebook_instance_name']) |
| data_engine['computational_ip'] = AzureMeta.get_private_ip_address(data_engine['resource_group_name'], |
| data_engine['computational_id']) |
| data_engine['keyfile'] = '{}{}.pem'.format(os.environ['conf_key_dir'], os.environ['conf_key_name']) |
| params = '--os_user {0} --notebook_ip {1} --keyfile "{2}" --cluster_ip {3}' \ |
| .format(os.environ['conf_os_user'], data_engine['notebook_ip'], data_engine['keyfile'], |
| data_engine['computational_ip']) |
| try: |
| local("~/scripts/{}.py {}".format('update_inactivity_on_start', params)) |
| except Exception as err: |
| traceback.print_exc() |
| dlab.fab.append_result("Failed to update last activity time.", 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": "Start 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) |