text: # -*- coding: utf-8 -*-
  # Copyright 2022 Google LLC
  #
  # 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.
  #
  import warnings
  from typing import Callable, Dict, Optional, Sequence, Tuple, Union
  
  from google.api_core import grpc_helpers
  from google.api_core import operations_v1
  from google.api_core import gapic_v1
  import google.auth  # type: ignore
  from google.auth import credentials as ga_credentials  # type: ignore
  from google.auth.transport.grpc import SslCredentials  # type: ignore
  
  import grpc  # type: ignore
  
  from google.cloud.aiplatform_v1.types import pipeline_job
  from google.cloud.aiplatform_v1.types import pipeline_job as gca_pipeline_job
  from google.cloud.aiplatform_v1.types import pipeline_service
  from google.cloud.aiplatform_v1.types import training_pipeline
  from google.cloud.aiplatform_v1.types import training_pipeline as gca_training_pipeline
  from google.longrunning import operations_pb2  # type: ignore
  from google.protobuf import empty_pb2  # type: ignore
  from .base import PipelineServiceTransport, DEFAULT_CLIENT_INFO
  
  
  class PipelineServiceGrpcTransport(PipelineServiceTransport):
      """gRPC backend transport for PipelineService.
  
      A service for creating and managing Vertex AI's pipelines. This
      includes both ``TrainingPipeline`` resources (used for AutoML and
      custom training) and ``PipelineJob`` resources (used for Vertex AI
      Pipelines).
  
      This class defines the same methods as the primary client, so the
      primary client can load the underlying transport implementation
      and call it.
  
      It sends protocol buffers over the wire using gRPC (which is built on
      top of HTTP/2); the ``grpcio`` package must be installed.
      """
  
      _stubs: Dict[str, Callable]
  
      def __init__(
          self,
          *,
          host: str = "aiplatform.googleapis.com",
          credentials: ga_credentials.Credentials = None,
          credentials_file: str = None,
          scopes: Sequence[str] = None,
          channel: grpc.Channel = None,
          api_mtls_endpoint: str = None,
          client_cert_source: Callable[[], Tuple[bytes, bytes]] = None,
          ssl_channel_credentials: grpc.ChannelCredentials = None,
          client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None,
          quota_project_id: Optional[str] = None,
          client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
          always_use_jwt_access: Optional[bool] = False,
      ) -> None:
          """Instantiate the transport.
  
          Args:
              host (Optional[str]):
                   The hostname to connect to.
              credentials (Optional[google.auth.credentials.Credentials]): The
                  authorization credentials to attach to requests. These
                  credentials identify the application to the service; if none
                  are specified, the client will attempt to ascertain the
                  credentials from the environment.
                  This argument is ignored if ``channel`` is provided.
              credentials_file (Optional[str]): A file with credentials that can
                  be loaded with :func:`google.auth.load_credentials_from_file`.
                  This argument is ignored if ``channel`` is provided.
              scopes (Optional(Sequence[str])): A list of scopes. This argument is
                  ignored if ``channel`` is provided.
              channel (Optional[grpc.Channel]): A ``Channel`` instance through
                  which to make calls.
              api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
                  If provided, it overrides the ``host`` argument and tries to create
                  a mutual TLS channel with client SSL credentials from
                  ``client_cert_source`` or application default SSL credentials.
              client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
                  Deprecated. A callback to provide client SSL certificate bytes and
                  private key bytes, both in PEM format. It is ignored if
                  ``api_mtls_endpoint`` is None.
              ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
                  for the grpc channel. It is ignored if ``channel`` is provided.
              client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
                  A callback to provide client certificate bytes and private key bytes,
                  both in PEM format. It is used to configure a mutual TLS channel. It is
                  ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
              quota_project_id (Optional[str]): An optional project to use for billing
                  and quota.
              client_info (google.api_core.gapic_v1.client_info.ClientInfo):
                  The client info used to send a user-agent string along with
                  API requests. If ``None``, then default info will be used.
                  Generally, you only need to set this if you're developing
                  your own client library.
              always_use_jwt_access (Optional[bool]): Whether self signed JWT should
                  be used for service account credentials.
  
          Raises:
            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
                creation failed for any reason.
            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
                and ``credentials_file`` are passed.
          """
          self._grpc_channel = None
          self._ssl_channel_credentials = ssl_channel_credentials
          self._stubs: Dict[str, Callable] = {}
          self._operations_client: Optional[operations_v1.OperationsClient] = None
  
          if api_mtls_endpoint:
              warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
          if client_cert_source:
              warnings.warn("client_cert_source is deprecated", DeprecationWarning)
  
          if channel:
              # Ignore credentials if a channel was passed.
              credentials = False
              # If a channel was explicitly provided, set it.
              self._grpc_channel = channel
              self._ssl_channel_credentials = None
  
          else:
              if api_mtls_endpoint:
                  host = api_mtls_endpoint
  
                  # Create SSL credentials with client_cert_source or application
                  # default SSL credentials.
                  if client_cert_source:
                      cert, key = client_cert_source()
                      self._ssl_channel_credentials = grpc.ssl_channel_credentials(
                          certificate_chain=cert, private_key=key
                      )
                  else:
                      self._ssl_channel_credentials = SslCredentials().ssl_credentials
  
              else:
                  if client_cert_source_for_mtls and not ssl_channel_credentials:
                      cert, key = client_cert_source_for_mtls()
                      self._ssl_channel_credentials = grpc.ssl_channel_credentials(
                          certificate_chain=cert, private_key=key
                      )
  
          # The base transport sets the host, credentials and scopes
          super().__init__(
              host=host,
              credentials=credentials,
              credentials_file=credentials_file,
              scopes=scopes,
              quota_project_id=quota_project_id,
              client_info=client_info,
              always_use_jwt_access=always_use_jwt_access,
          )
  
          if not self._grpc_channel:
              self._grpc_channel = type(self).create_channel(
                  self._host,
                  # use the credentials which are saved
                  credentials=self._credentials,
                  # Set ``credentials_file`` to ``None`` here as
                  # the credentials that we saved earlier should be used.
                  credentials_file=None,
                  scopes=self._scopes,
                  ssl_credentials=self._ssl_channel_credentials,
                  quota_project_id=quota_project_id,
                  options=[
                      ("grpc.max_send_message_length", -1),
                      ("grpc.max_receive_message_length", -1),
                  ],
              )
  
          # Wrap messages. This must be done after self._grpc_channel exists
          self._prep_wrapped_messages(client_info)
  
      @classmethod
      def create_channel(
          cls,
          host: str = "aiplatform.googleapis.com",
          credentials: ga_credentials.Credentials = None,
          credentials_file: str = None,
          scopes: Optional[Sequence[str]] = None,
          quota_project_id: Optional[str] = None,
          **kwargs,
      ) -> grpc.Channel:
          """Create and return a gRPC channel object.
          Args:
              host (Optional[str]): The host for the channel to use.
              credentials (Optional[~.Credentials]): The
                  authorization credentials to attach to requests. These
                  credentials identify this application to the service. If
                  none are specified, the client will attempt to ascertain
                  the credentials from the environment.
              credentials_file (Optional[str]): A file with credentials that can
                  be loaded with :func:`google.auth.load_credentials_from_file`.
                  This argument is mutually exclusive with credentials.
              scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
                  service. These are only used when credentials are not specified and
                  are passed to :func:`google.auth.default`.
              quota_project_id (Optional[str]): An optional project to use for billing
                  and quota.
              kwargs (Optional[dict]): Keyword arguments, which are passed to the
                  channel creation.
          Returns:
              grpc.Channel: A gRPC channel object.
  
          Raises:
              google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
                and ``credentials_file`` are passed.
          """
  
          return grpc_helpers.create_channel(
              host,
              credentials=credentials,
              credentials_file=credentials_file,
              quota_project_id=quota_project_id,
              default_scopes=cls.AUTH_SCOPES,
              scopes=scopes,
              default_host=cls.DEFAULT_HOST,
              **kwargs,
          )
  
      @property
      def grpc_channel(self) -> grpc.Channel:
          """Return the channel designed to connect to this service.
          """
          return self._grpc_channel
  
      @property
      def operations_client(self) -> operations_v1.OperationsClient:
          """Create the client designed to process long-running operations.
  
          This property caches on the instance; repeated calls return the same
          client.
          """
          # Quick check: Only create a new client if we do not already have one.
          if self._operations_client is None:
              self._operations_client = operations_v1.OperationsClient(self.grpc_channel)
  
          # Return the client from cache.
          return self._operations_client
  
      @property
      def create_training_pipeline(
          self,
      ) -> Callable[
          [pipeline_service.CreateTrainingPipelineRequest],
          gca_training_pipeline.TrainingPipeline,
      ]:
          r"""Return a callable for the create training pipeline method over gRPC.
  
          Creates a TrainingPipeline. A created
          TrainingPipeline right away will be attempted to be run.
  
          Returns:
              Callable[[~.CreateTrainingPipelineRequest],
                      ~.TrainingPipeline]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "create_training_pipeline" not in self._stubs:
              self._stubs["create_training_pipeline"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/CreateTrainingPipeline",
                  request_serializer=pipeline_service.CreateTrainingPipelineRequest.serialize,
                  response_deserializer=gca_training_pipeline.TrainingPipeline.deserialize,
              )
          return self._stubs["create_training_pipeline"]
  
      @property
      def get_training_pipeline(
          self,
      ) -> Callable[
          [pipeline_service.GetTrainingPipelineRequest],
          training_pipeline.TrainingPipeline,
      ]:
          r"""Return a callable for the get training pipeline method over gRPC.
  
          Gets a TrainingPipeline.
  
          Returns:
              Callable[[~.GetTrainingPipelineRequest],
                      ~.TrainingPipeline]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "get_training_pipeline" not in self._stubs:
              self._stubs["get_training_pipeline"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/GetTrainingPipeline",
                  request_serializer=pipeline_service.GetTrainingPipelineRequest.serialize,
                  response_deserializer=training_pipeline.TrainingPipeline.deserialize,
              )
          return self._stubs["get_training_pipeline"]
  
      @property
      def list_training_pipelines(
          self,
      ) -> Callable[
          [pipeline_service.ListTrainingPipelinesRequest],
          pipeline_service.ListTrainingPipelinesResponse,
      ]:
          r"""Return a callable for the list training pipelines method over gRPC.
  
          Lists TrainingPipelines in a Location.
  
          Returns:
              Callable[[~.ListTrainingPipelinesRequest],
                      ~.ListTrainingPipelinesResponse]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "list_training_pipelines" not in self._stubs:
              self._stubs["list_training_pipelines"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/ListTrainingPipelines",
                  request_serializer=pipeline_service.ListTrainingPipelinesRequest.serialize,
                  response_deserializer=pipeline_service.ListTrainingPipelinesResponse.deserialize,
              )
          return self._stubs["list_training_pipelines"]
  
      @property
      def delete_training_pipeline(
          self,
      ) -> Callable[
          [pipeline_service.DeleteTrainingPipelineRequest], operations_pb2.Operation
      ]:
          r"""Return a callable for the delete training pipeline method over gRPC.
  
          Deletes a TrainingPipeline.
  
          Returns:
              Callable[[~.DeleteTrainingPipelineRequest],
                      ~.Operation]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "delete_training_pipeline" not in self._stubs:
              self._stubs["delete_training_pipeline"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/DeleteTrainingPipeline",
                  request_serializer=pipeline_service.DeleteTrainingPipelineRequest.serialize,
                  response_deserializer=operations_pb2.Operation.FromString,
              )
          return self._stubs["delete_training_pipeline"]
  
      @property
      def cancel_training_pipeline(
          self,
      ) -> Callable[[pipeline_service.CancelTrainingPipelineRequest], empty_pb2.Empty]:
          r"""Return a callable for the cancel training pipeline method over gRPC.
  
          Cancels a TrainingPipeline. Starts asynchronous cancellation on
          the TrainingPipeline. The server makes a best effort to cancel
          the pipeline, but success is not guaranteed. Clients can use
          [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1.PipelineService.GetTrainingPipeline]
          or other methods to check whether the cancellation succeeded or
          whether the pipeline completed despite cancellation. On
          successful cancellation, the TrainingPipeline is not deleted;
          instead it becomes a pipeline with a
          [TrainingPipeline.error][google.cloud.aiplatform.v1.TrainingPipeline.error]
          value with a [google.rpc.Status.code][google.rpc.Status.code] of
          1, corresponding to ``Code.CANCELLED``, and
          [TrainingPipeline.state][google.cloud.aiplatform.v1.TrainingPipeline.state]
          is set to ``CANCELLED``.
  
          Returns:
              Callable[[~.CancelTrainingPipelineRequest],
                      ~.Empty]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "cancel_training_pipeline" not in self._stubs:
              self._stubs["cancel_training_pipeline"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/CancelTrainingPipeline",
                  request_serializer=pipeline_service.CancelTrainingPipelineRequest.serialize,
                  response_deserializer=empty_pb2.Empty.FromString,
              )
          return self._stubs["cancel_training_pipeline"]
  
      @property
      def create_pipeline_job(
          self,
      ) -> Callable[
          [pipeline_service.CreatePipelineJobRequest], gca_pipeline_job.PipelineJob
      ]:
          r"""Return a callable for the create pipeline job method over gRPC.
  
          Creates a PipelineJob. A PipelineJob will run
          immediately when created.
  
          Returns:
              Callable[[~.CreatePipelineJobRequest],
                      ~.PipelineJob]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "create_pipeline_job" not in self._stubs:
              self._stubs["create_pipeline_job"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/CreatePipelineJob",
                  request_serializer=pipeline_service.CreatePipelineJobRequest.serialize,
                  response_deserializer=gca_pipeline_job.PipelineJob.deserialize,
              )
          return self._stubs["create_pipeline_job"]
  
      @property
      def get_pipeline_job(
          self,
      ) -> Callable[[pipeline_service.GetPipelineJobRequest], pipeline_job.PipelineJob]:
          r"""Return a callable for the get pipeline job method over gRPC.
  
          Gets a PipelineJob.
  
          Returns:
              Callable[[~.GetPipelineJobRequest],
                      ~.PipelineJob]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "get_pipeline_job" not in self._stubs:
              self._stubs["get_pipeline_job"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/GetPipelineJob",
                  request_serializer=pipeline_service.GetPipelineJobRequest.serialize,
                  response_deserializer=pipeline_job.PipelineJob.deserialize,
              )
          return self._stubs["get_pipeline_job"]
  
      @property
      def list_pipeline_jobs(
          self,
      ) -> Callable[
          [pipeline_service.ListPipelineJobsRequest],
          pipeline_service.ListPipelineJobsResponse,
      ]:
          r"""Return a callable for the list pipeline jobs method over gRPC.
  
          Lists PipelineJobs in a Location.
  
          Returns:
              Callable[[~.ListPipelineJobsRequest],
                      ~.ListPipelineJobsResponse]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "list_pipeline_jobs" not in self._stubs:
              self._stubs["list_pipeline_jobs"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/ListPipelineJobs",
                  request_serializer=pipeline_service.ListPipelineJobsRequest.serialize,
                  response_deserializer=pipeline_service.ListPipelineJobsResponse.deserialize,
              )
          return self._stubs["list_pipeline_jobs"]
  
      @property
      def delete_pipeline_job(
          self,
      ) -> Callable[
          [pipeline_service.DeletePipelineJobRequest], operations_pb2.Operation
      ]:
          r"""Return a callable for the delete pipeline job method over gRPC.
  
          Deletes a PipelineJob.
  
          Returns:
              Callable[[~.DeletePipelineJobRequest],
                      ~.Operation]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "delete_pipeline_job" not in self._stubs:
              self._stubs["delete_pipeline_job"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/DeletePipelineJob",
                  request_serializer=pipeline_service.DeletePipelineJobRequest.serialize,
                  response_deserializer=operations_pb2.Operation.FromString,
              )
          return self._stubs["delete_pipeline_job"]
  
      @property
      def cancel_pipeline_job(
          self,
      ) -> Callable[[pipeline_service.CancelPipelineJobRequest], empty_pb2.Empty]:
          r"""Return a callable for the cancel pipeline job method over gRPC.
  
          Cancels a PipelineJob. Starts asynchronous cancellation on the
          PipelineJob. The server makes a best effort to cancel the
          pipeline, but success is not guaranteed. Clients can use
          [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1.PipelineService.GetPipelineJob]
          or other methods to check whether the cancellation succeeded or
          whether the pipeline completed despite cancellation. On
          successful cancellation, the PipelineJob is not deleted; instead
          it becomes a pipeline with a
          [PipelineJob.error][google.cloud.aiplatform.v1.PipelineJob.error]
          value with a [google.rpc.Status.code][google.rpc.Status.code] of
          1, corresponding to ``Code.CANCELLED``, and
          [PipelineJob.state][google.cloud.aiplatform.v1.PipelineJob.state]
          is set to ``CANCELLED``.
  
          Returns:
              Callable[[~.CancelPipelineJobRequest],
                      ~.Empty]:
                  A function that, when called, will call the underlying RPC
                  on the server.
          """
          # Generate a "stub function" on-the-fly which will actually make
          # the request.
          # gRPC handles serialization and deserialization, so we just need
          # to pass in the functions for each.
          if "cancel_pipeline_job" not in self._stubs:
              self._stubs["cancel_pipeline_job"] = self.grpc_channel.unary_unary(
                  "/google.cloud.aiplatform.v1.PipelineService/CancelPipelineJob",
                  request_serializer=pipeline_service.CancelPipelineJobRequest.serialize,
                  response_deserializer=empty_pb2.Empty.FromString,
              )
          return self._stubs["cancel_pipeline_job"]
  
      def close(self):
          self.grpc_channel.close()
  
  
  __all__ = ("PipelineServiceGrpcTransport",)
  