infrastructure-provisioning/src/general/scripts/azure/dataengine_stop.py

#!/usr/bin/python

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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 stop_data_engine(resource_group_name, cluster_name):
    print("Stopping 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.stop_instance(resource_group_name, vm.name)
                    print("Instance {} has been stopped".format(vm.name))
    except Exception as err:
        dlab.fab.append_result("Failed to stop 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['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['resource_group_name'] = os.environ['azure_resource_group_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('[STOPPING DATA ENGINE]')
        print('[STOPPING DATA ENGINE]')
        try:
            stop_data_engine(data_engine['resource_group_name'], data_engine['cluster_name'])
        except Exception as err:
            traceback.print_exc()
            dlab.fab.append_result("Failed to stop 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": "Stop 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)