infrastructure-provisioning/src/general/scripts/aws/dataengine-service_install_libs.py

#!/usr/bin/python3

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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
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import logging
import multiprocessing
import os
import sys
import traceback
import subprocess
from datalab.actions_lib import *
from datalab.fab import *
from datalab.meta_lib import *
from fabric import *


def install_libs(instance, data_engine):
    data_engine['instance_ip'] = instance.get('PrivateIpAddress')
    params = '--os_user {} --instance_ip {} --keyfile "{}" --libs "{}" --dataengine_service True' \
        .format(data_engine['os_user'], data_engine['instance_ip'],
                data_engine['keyfile'], data_engine['libs'])
    try:
        # Run script to install additional libs
        subprocess.run("~/scripts/{}.py {}".format('install_additional_libs', params), shell=True, check=True)
    except:
        traceback.print_exc()
        raise Exception


if __name__ == "__main__":
    create_aws_config_files()
    instance_class = 'notebook'
    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)

    try:
        logging.info('[INSTALLING ADDITIONAL LIBRARIES ON DATAENGINE-SERVICE]')
        print('[INSTALLING ADDITIONAL LIBRARIES ON DATAENGINE-SERVICE]')
        data_engine = dict()
        try:
            data_engine['os_user'] = 'ec2-user'
            data_engine['cluster_name'] = os.environ['computational_id']
            data_engine['cluster_id'] = get_emr_id_by_name(data_engine['cluster_name'])
            data_engine['cluster_instances'] = get_emr_instances_list(data_engine['cluster_id'])
            data_engine['keyfile'] = '{}{}.pem'.format(os.environ['conf_key_dir'], os.environ['conf_key_name'])
            data_engine['libs'] = os.environ['libs']
        except Exception as err:
            print('Error: {0}'.format(err))
            append_result("Failed to get parameter.", str(err))
            sys.exit(1)
        try:
            jobs = []
            for instance in data_engine['cluster_instances']:
                p = multiprocessing.Process(target=install_libs, args=(instance, data_engine))
                jobs.append(p)
                p.start()
            for job in jobs:
                job.join()
            for job in jobs:
                if job.exitcode != 0:
                    raise Exception
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        print('Error: {0}'.format(err))
        append_result("Failed to install additional libraries.", str(err))
        sys.exit(1)