infrastructure-provisioning/src/general/scripts/gcp/common_notebook_configure_dataengine-service.py

#!/usr/bin/python

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import logging
import json
import sys
from dlab.fab import *
from dlab.meta_lib import *
from dlab.actions_lib import *
import os
import uuid


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
    print('Generating infrastructure names and tags')
    notebook_config = dict()
    notebook_config['service_base_name'] = (os.environ['conf_service_base_name']).lower().replace('_', '-')
    notebook_config['notebook_name'] = os.environ['notebook_instance_name']
    notebook_config['edge_user_name'] = (os.environ['edge_user_name']).lower().replace('_', '-')
    notebook_config['project_name'] = (os.environ['project_name']).lower().replace('_', '-')
    notebook_config['project_tag'] = (os.environ['project_name']).lower().replace('_', '-')
    notebook_config['endpoint_tag'] = (os.environ['endpoint_name']).lower().replace('_', '-')
    notebook_config['endpoint_name'] = (os.environ['endpoint_name']).lower().replace('_', '-')
    notebook_config['tag_name'] = notebook_config['service_base_name'] + '-Tag'
    notebook_config['bucket_name'] = '{0}-{1}-{2}-bucket'.format(notebook_config['service_base_name'],
                                                                 notebook_config['project_name'],
                                                                 notebook_config['endpoint_name'])
    notebook_config['cluster_name'] = meta_lib.GCPMeta().get_not_configured_dataproc(notebook_config['notebook_name'])
    notebook_config['notebook_ip'] = meta_lib.GCPMeta().get_private_ip_address(notebook_config['notebook_name'])
    notebook_config['key_path'] = '{0}{1}.pem'.format(os.environ['conf_key_dir'], os.environ['conf_key_name'])
    edge_instance_name = '{0}-{1}-{2}-edge'.format(notebook_config['service_base_name'],
                                                   notebook_config['project_name'], notebook_config['endpoint_tag'])
    edge_instance_hostname = meta_lib.GCPMeta().get_private_ip_address(edge_instance_name)
    if os.environ['application'] == 'deeplearning':
        application = 'jupyter'
    else:
        application = os.environ['application']
    additional_tags = json.loads(os.environ['tags'].replace("': u'", "\": \"").replace("', u'", "\", \"").replace("{u'", "{\"" ).replace("'}", "\"}"))

    if '@' in additional_tags['user_tag']:
        notebook_config['user_tag'] = additional_tags['user_tag'][:additional_tags['user_tag'].find('@')]
    else:
        notebook_config['user_tag'] = additional_tags['user_tag']

    notebook_config['custom_tag'] = additional_tags['custom_tag']
    notebook_config['cluster_labels'] = {
        os.environ['notebook_instance_name']: "configured",
        "name": notebook_config['cluster_name'],
        "sbn": notebook_config['service_base_name'],
        "user": notebook_config['user_tag'],
        "notebook_name": os.environ['notebook_instance_name'],
        "project_tag": notebook_config['project_tag'],
        "endpoint_tag": notebook_config['endpoint_tag'],
        "product": "dlab",
        "computational_name": (os.environ['computational_name']).lower().replace('_', '-')
    }
    if notebook_config['custom_tag'] != '':
        notebook_config['cluster_labels'].update({'custom_tag': notebook_config['custom_tag']})

    try:
        logging.info('[INSTALLING KERNELS INTO SPECIFIED NOTEBOOK]')
        print('[INSTALLING KERNELS INTO SPECIFIED NOTEBOOK]')
        params = "--bucket {} --cluster_name {} --dataproc_version {} --keyfile {} --notebook_ip {} --region {} --edge_user_name {} --project_name {} --os_user {}  --edge_hostname {} --proxy_port {} --scala_version {} --application {} --pip_mirror {}" \
            .format(notebook_config['bucket_name'], notebook_config['cluster_name'], os.environ['dataproc_version'],
                    notebook_config['key_path'], notebook_config['notebook_ip'], os.environ['gcp_region'],
                    notebook_config['edge_user_name'], notebook_config['project_name'], os.environ['conf_os_user'], edge_instance_hostname, '3128',
                    os.environ['notebook_scala_version'], os.environ['application'], os.environ['conf_pypi_mirror'])
        try:
            local("~/scripts/{}_{}.py {}".format(application, 'install_dataengine-service_kernels', params))
            actions_lib.GCPActions().update_dataproc_cluster(notebook_config['cluster_name'],
                                                             notebook_config['cluster_labels'])
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        print('Error: {0}'.format(err))
        append_result("Failed installing Dataproc kernels.", str(err))
        actions_lib.GCPActions().delete_dataproc_cluster(notebook_config['cluster_name'], os.environ['gcp_region'])
        actions_lib.GCPActions().remove_kernels(notebook_config['notebook_name'], notebook_config['cluster_name'],
                                                os.environ['dataproc_version'], os.environ['conf_os_user'], notebook_config['key_path'])
        sys.exit(1)

    try:
        logging.info('[UPDATING SPARK CONFIGURATION FILES ON NOTEBOOK]')
        print('[UPDATING SPARK CONFIGURATION FILES ON NOTEBOOK]')
        params = "--hostname {0} " \
                 "--keyfile {1} " \
                 "--os_user {2} " \
            .format(notebook_config['notebook_ip'],
                    notebook_config['key_path'],
                    os.environ['conf_os_user'])
        try:
            local("~/scripts/{0}.py {1}".format('common_configure_spark', params))
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        print('Error: {0}'.format(err))
        append_result("Failed to configure Spark.", str(err))
        actions_lib.GCPActions().delete_dataproc_cluster(notebook_config['cluster_name'], os.environ['gcp_region'])
        actions_lib.GCPActions().remove_kernels(notebook_config['notebook_name'], notebook_config['cluster_name'],
                                                os.environ['dataproc_version'], os.environ['conf_os_user'], notebook_config['key_path'])
        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'],
                   "Action": "Configure notebook server"}
            print(json.dumps(res))
            result.write(json.dumps(res))
    except:
        print("Failed writing results.")
        sys.exit(0)