#!/usr/bin/python3

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# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
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import datalab.actions_lib
import datalab.fab
import datalab.meta_lib
import json
import logging
import os
import sys
import traceback


def terminate_data_engine(zone, notebook_name, os_user, key_path, cluster_name):
    print("Terminating data engine cluster")
    try:
        instances = GCPMeta.get_list_instances(zone, cluster_name)
        if 'items' in instances:
            for i in instances['items']:
                GCPActions.remove_instance(i['name'], zone)
    except Exception as err:
        datalab.fab.append_result("Failed to terminate dataengine", str(err))
        sys.exit(1)

    print("Removing Data Engine kernels from notebook")
    try:
        datalab.actions_lib.remove_dataengine_kernels(notebook_name, os_user, key_path, cluster_name)
    except Exception as err:
        datalab.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
    GCPMeta = datalab.meta_lib.GCPMeta()
    GCPActions = datalab.actions_lib.GCPActions()
    print('Generating infrastructure names and tags')
    data_engine = dict()
    if 'exploratory_name' in os.environ:
        data_engine['exploratory_name'] = os.environ['exploratory_name'].replace('_', '-').lower()
    else:
        data_engine['exploratory_name'] = ''
    if 'computational_name' in os.environ:
        data_engine['computational_name'] = os.environ['computational_name'].replace('_', '-').lower()
    else:
        data_engine['computational_name'] = ''
    data_engine['service_base_name'] = os.environ['conf_service_base_name']
    data_engine['zone'] = os.environ['gcp_zone']
    data_engine['user_name'] = os.environ['edge_user_name']
    data_engine['project_name'] = os.environ['project_name'].replace('_', '-').lower()
    data_engine['endpoint_name'] = os.environ['endpoint_name'].replace('_', '-').lower()
    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['zone'], data_engine['notebook_name'], os.environ['conf_os_user'],
                                  data_engine['key_path'], data_engine['cluster_name'])
        except Exception as err:
            traceback.print_exc()
            datalab.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:
        datalab.fab.append_result("Error with writing results", str(err))
        sys.exit(1)