# -*- coding: utf-8 -*- #
# Copyright 2019 Google Inc. All Rights Reserved.
#
# Licensed 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.
"""Command to create a Data Fusion instance."""

from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals

from apitools.base.py import encoding
from googlecloudsdk.api_lib.data_fusion import datafusion as df
from googlecloudsdk.api_lib.util import waiter
from googlecloudsdk.calliope import arg_parsers
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.data_fusion import maintenance_utils
from googlecloudsdk.command_lib.data_fusion import operation_poller
from googlecloudsdk.command_lib.data_fusion import resource_args
from googlecloudsdk.command_lib.util.apis import arg_utils
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import log

_EDITIONS = ['basic', 'enterprise', 'developer']


@base.DefaultUniverseOnly
class Create(base.Command):
  # pylint:disable=line-too-long
  r"""Create and initialize a Cloud Data Fusion instance.

  If run asynchronously with `--async`, exits after printing an operation
  that can be used to poll the status of the creation operation via:

    {command} operations list

  ## EXAMPLES

  To create instance `my-instance` in project `my-project`, location in
  `my-location`, and zone in `my-zone` run:

    $ {command} my-instance --project=my-project --location=my-location --zone=my-zone
  """

  @staticmethod
  def Args(parser):
    resource_args.AddInstanceResourceArg(parser, 'Instance to create.')
    base.ASYNC_FLAG.AddToParser(parser)
    labels_util.AddCreateLabelsFlags(parser)
    parser.add_argument(
        '--zone',
        help='Compute Engine zone in which the instance will '
        'be created. Only needed for DEVELOPER edition. For example: `--zone=us-central1-a`.')
    parser.add_argument(
        '--edition',
        choices=_EDITIONS,
        default='basic',
        help='Edition of the Data Fusion instance to create. '
        'For example: `--edition=enterprise`.')
    parser.add_argument(
        '--version',
        help='The version of Cloud Data Fusion to use when creating the instance. '
        'For example: `--version=6.9.2`.')
    parser.add_argument(
        '--patch_revision',
        help='Patch revision version of Cloud Data Fusion to use when creating the instance.'
        'For example: `--patch_revision=6.9.2.1`.')
    parser.add_argument(
        '--options',
        type=arg_parsers.ArgDict(),
        metavar='KEY=VALUE',
        help='Options to use for instance creation, '
        'specified as KEY1=VALUE1,KEY2=VALUE2.')
    parser.add_argument(
        '--enable_stackdriver_logging',
        action='store_true',
        help='Enable Stackdriver logging for this Data Fusion instance.')
    parser.add_argument(
        '--enable_stackdriver_monitoring',
        action='store_true',
        help='Enable Stackdriver monitoring for this Data Fusion instance.')
    parser.add_argument(
        '--enable_rbac',
        action='store_true',
        help='Enable granular role-based access control for this Data Fusion instance.')
    maintenance_utils.CreateArgumentsGroup(parser)
    resource_args.GetTagsArg().AddToParser(parser)

  def Run(self, args):
    datafusion = df.Datafusion()
    instance_ref = args.CONCEPTS.instance.Parse()

    # Prompt for zone if it is not specified
    version = args.version
    if not version:
      version = ''
    zone = args.zone
    if not zone:
      zone = ''
    options = args.options
    if not options:
      options = {}
    labels = args.labels
    if not labels:
      labels = {}
    enable_stackdriver_logging = args.enable_stackdriver_logging
    if not enable_stackdriver_logging:
      enable_stackdriver_logging = False
    enable_stackdriver_monitoring = args.enable_stackdriver_monitoring
    if not enable_stackdriver_monitoring:
      enable_stackdriver_monitoring = False
    enable_rbac = args.enable_rbac
    if not enable_rbac:
      enable_rbac = False
    edition_mapper = arg_utils.ChoiceEnumMapper(
        'edition_enum', df.Datafusion().messages.Instance.TypeValueValuesEnum)
    edition = edition_mapper.GetEnumForChoice(args.edition)
    instance = datafusion.messages.Instance(
        zone=zone,
        type=edition,
        version=version,
        patchRevision=args.patch_revision,
        enableStackdriverLogging=enable_stackdriver_logging,
        enableStackdriverMonitoring=enable_stackdriver_monitoring,
        enableRbac=enable_rbac,
        options=encoding.DictToAdditionalPropertyMessage(
            options, datafusion.messages.Instance.OptionsValue, True
        ),
        labels=encoding.DictToAdditionalPropertyMessage(
            labels, datafusion.messages.Instance.LabelsValue, True
        ),
        tags=resource_args.GetTagsFromArgs(
            args, datafusion.messages.Instance.TagsValue
        ),
    )
    maintenance_utils.SetMaintenanceWindow(args, instance)

    req = datafusion.messages.DatafusionProjectsLocationsInstancesCreateRequest(
        instance=instance,
        instanceId=instance_ref.Name(),
        parent=instance_ref.Parent().RelativeName())

    operation = datafusion.client.projects_locations_instances.Create(req)

    if args.async_:
      log.CreatedResource(
          instance_ref.RelativeName(), kind='instance', is_async=True)
      return operation
    else:
      waiter.WaitFor(
          operation_poller.OperationPoller(),
          operation.name,
          'Waiting for [{}] to complete. This may take several minutes.'.format(
              operation.name),
          max_wait_ms=df.OPERATION_TIMEOUT,
          wait_ceiling_ms=df.OPERATION_TIMEOUT)
      log.CreatedResource(
          instance_ref.RelativeName(), kind='instance', is_async=False)