# -*- coding: utf-8 -*-
#
# Copyright 2018 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
#
#     https://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 google.api_core.grpc_helpers
import google.api_core.operations_v1

from google.cloud.automl_v1beta1.proto import service_pb2_grpc


class AutoMlGrpcTransport(object):
    """gRPC transport class providing stubs for
    google.cloud.automl.v1beta1 AutoMl API.

    The transport provides access to the raw gRPC stubs,
    which can be used to take advantage of advanced
    features of gRPC.
    """

    # The scopes needed to make gRPC calls to all of the methods defined
    # in this service.
    _OAUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)

    def __init__(
        self, channel=None, credentials=None, address="automl.googleapis.com:443"
    ):
        """Instantiate the transport class.

        Args:
            channel (grpc.Channel): A ``Channel`` instance through
                which to make calls. This argument is mutually exclusive
                with ``credentials``; providing both will raise an exception.
            credentials (google.auth.credentials.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.
            address (str): The address where the service is hosted.
        """
        # If both `channel` and `credentials` are specified, raise an
        # exception (channels come with credentials baked in already).
        if channel is not None and credentials is not None:
            raise ValueError(
                "The `channel` and `credentials` arguments are mutually " "exclusive."
            )

        # Create the channel.
        if channel is None:
            channel = self.create_channel(address=address, credentials=credentials)

        self._channel = channel

        # gRPC uses objects called "stubs" that are bound to the
        # channel and provide a basic method for each RPC.
        self._stubs = {"auto_ml_stub": service_pb2_grpc.AutoMlStub(channel)}

        # Because this API includes a method that returns a
        # long-running operation (proto: google.longrunning.Operation),
        # instantiate an LRO client.
        self._operations_client = google.api_core.operations_v1.OperationsClient(
            channel
        )

    @classmethod
    def create_channel(cls, address="automl.googleapis.com:443", credentials=None):
        """Create and return a gRPC channel object.

        Args:
            address (str): The host for the channel to use.
            credentials (~.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.

        Returns:
            grpc.Channel: A gRPC channel object.
        """
        return google.api_core.grpc_helpers.create_channel(
            address, credentials=credentials, scopes=cls._OAUTH_SCOPES
        )

    @property
    def channel(self):
        """The gRPC channel used by the transport.

        Returns:
            grpc.Channel: A gRPC channel object.
        """
        return self._channel

    @property
    def create_dataset(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Creates a dataset.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].CreateDataset

    @property
    def get_dataset(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Gets a dataset.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].GetDataset

    @property
    def list_datasets(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Lists datasets in a project.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].ListDatasets

    @property
    def delete_dataset(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Deletes a dataset and all of its contents. Returns empty response in the
        ``response`` field when it completes, and ``delete_details`` in the
        ``metadata`` field.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].DeleteDataset

    @property
    def import_data(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Imports data into a dataset. Returns an empty response in the
        ``response`` field when it completes.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].ImportData

    @property
    def export_data(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Exports dataset's data to a Google Cloud Storage bucket. Returns an
        empty response in the ``response`` field when it completes.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].ExportData

    @property
    def create_model(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Creates a model. Returns a Model in the ``response`` field when it
        completes. When you create a model, several model evaluations are
        created for it: a global evaluation, and one evaluation for each
        annotation spec.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].CreateModel

    @property
    def get_model(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Gets a model.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].GetModel

    @property
    def list_models(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Lists models.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].ListModels

    @property
    def delete_model(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Deletes a model. If a model is already deployed, this only deletes the
        model in AutoML BE, and does not change the status of the deployed model
        in the production environment. Returns ``google.protobuf.Empty`` in the
        ``response`` field when it completes, and ``delete_details`` in the
        ``metadata`` field.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].DeleteModel

    @property
    def deploy_model(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Deploys model. Returns a ``DeployModelResponse`` in the ``response``
        field when it completes.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].DeployModel

    @property
    def undeploy_model(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Undeploys model. Returns an ``UndeployModelResponse`` in the
        ``response`` field when it completes.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].UndeployModel

    @property
    def get_model_evaluation(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Gets a model evaluation.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].GetModelEvaluation

    @property
    def list_model_evaluations(self):
        """Return the gRPC stub for {$apiMethod.name}.

        Lists model evaluations.

        Returns:
            Callable: A callable which accepts the appropriate
                deserialized request object and returns a
                deserialized response object.
        """
        return self._stubs["auto_ml_stub"].ListModelEvaluations
