# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. 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.
"""Vertex AI endpoints create command."""


from apitools.base.py import encoding
from googlecloudsdk.api_lib.ai import operations
from googlecloudsdk.api_lib.ai.tensorboards import client
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.ai import constants
from googlecloudsdk.command_lib.ai import endpoint_util
from googlecloudsdk.command_lib.ai import flags
from googlecloudsdk.command_lib.ai import operations_util
from googlecloudsdk.command_lib.ai import tensorboards_util
from googlecloudsdk.command_lib.ai import validation
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import log


def _AddArgs(parser):
  flags.AddRegionResourceArg(parser, 'to create a Tensorboard')
  flags.GetDisplayNameArg('tensorboard').AddToParser(parser)
  flags.GetDescriptionArg('tensorboard').AddToParser(parser)
  flags.AddKmsKeyResourceArg(parser, 'tensorboard')
  labels_util.AddCreateLabelsFlags(parser)


def _Run(args, version):
  """Create a new Vertex AI Tensorboard."""
  validation.ValidateDisplayName(args.display_name)

  region_ref = args.CONCEPTS.region.Parse()
  args.region = region_ref.AsDict()['locationsId']
  with endpoint_util.AiplatformEndpointOverrides(version, region=args.region):
    tensorboards_client = client.TensorboardsClient(version=version)
    operation_client = operations.OperationsClient()
    op = tensorboards_client.Create(region_ref, args)
    response_msg = operations_util.WaitForOpMaybe(
        operation_client, op,
        tensorboards_util.ParseTensorboardOperation(op.name))
    if response_msg is not None:
      response = encoding.MessageToPyValue(response_msg)
      if 'name' in response:
        log.status.Print(
            ('Created Vertex AI Tensorboard: {}.').format(response['name']))
    return response_msg


@base.ReleaseTracks(base.ReleaseTrack.GA)
class CreateGa(base.CreateCommand):
  """Create a new Vertex AI Tensorboard."""

  detailed_help = {
      'EXAMPLES':
          """\
          To create a Tensorboard with the display name `my tensorboard`:

              $ {command} --display-name="my tensorboard"

          You may also provide a description:

              $ {command} --description="my description"

          You may also provide labels:

              $ {command} --labels="label1=value1" --labels="label2=value2"
          """,
  }

  @staticmethod
  def Args(parser):
    _AddArgs(parser)

  def Run(self, args):
    return _Run(args, constants.GA_VERSION)


@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
class CreateBeta(base.CreateCommand):
  """Create a new Vertex AI Tensorboard."""

  detailed_help = {
      'EXAMPLES':
          """\
          To create a Tensorboard with the display name `my tensorboard`:

              $ {command} --display-name="my tensorboard"

          You may also provide a description:

              $ {command} --description="my description"

          You may also provide labels:

              $ {command} --labels="label1=value1" --labels="label2=value2"
          """,
  }

  @staticmethod
  def Args(parser):
    _AddArgs(parser)

  def Run(self, args):
    return _Run(args, constants.BETA_VERSION)
