<filename>recommender/google/cloud/recommender_v1beta1/proto/recommender_service_pb2_grpc.py
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc

from google.cloud.recommender_v1beta1.proto import (
    recommendation_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2,
)
from google.cloud.recommender_v1beta1.proto import (
    recommender_service_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2,
)


class RecommenderStub(object):
    """Provides recommendations for cloud customers for various categories like
  performance optimization, cost savings, reliability, feature discovery, etc.
  These recommendations are generated automatically based on analysis of user
  resources, configuration and monitoring metrics.
  """

    def __init__(self, channel):
        """Constructor.

    Args:
      channel: A grpc.Channel.
    """
        self.ListRecommendations = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/ListRecommendations",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsResponse.FromString,
        )
        self.GetRecommendation = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/GetRecommendation",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.GetRecommendationRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationClaimed = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationClaimed",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationClaimedRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationSucceeded = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationSucceeded",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationSucceededRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationFailed = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationFailed",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationFailedRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )


class RecommenderServicer(object):
    """Provides recommendations for cloud customers for various categories like
  performance optimization, cost savings, reliability, feature discovery, etc.
  These recommendations are generated automatically based on analysis of user
  resources, configuration and monitoring metrics.
  """

    def ListRecommendations(self, request, context):
        """Lists recommendations for a Cloud project. Requires the recommender.*.list
    IAM permission for the specified recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def GetRecommendation(self, request, context):
        """Gets the requested recommendation. Requires the recommender.*.get
    IAM permission for the specified recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationClaimed(self, request, context):
        """Mark the Recommendation State as Claimed. Users can use this method to
    indicate to the Recommender API that they are starting to apply the
    recommendation themselves. This stops the recommendation content from being
    updated.

    MarkRecommendationClaimed can be applied to recommendations in CLAIMED,
    SUCCEEDED, FAILED, or ACTIVE state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationSucceeded(self, request, context):
        """Mark the Recommendation State as Succeeded. Users can use this method to
    indicate to the Recommender API that they have applied the recommendation
    themselves, and the operation was successful. This stops the recommendation
    content from being updated.

    MarkRecommendationSucceeded can be applied to recommendations in ACTIVE,
    CLAIMED, SUCCEEDED, or FAILED state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationFailed(self, request, context):
        """Mark the Recommendation State as Failed. Users can use this method to
    indicate to the Recommender API that they have applied the recommendation
    themselves, and the operation failed. This stops the recommendation content
    from being updated.

    MarkRecommendationFailed can be applied to recommendations in ACTIVE,
    CLAIMED, SUCCEEDED, or FAILED state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")


def add_RecommenderServicer_to_server(servicer, server):
    rpc_method_handlers = {
        "ListRecommendations": grpc.unary_unary_rpc_method_handler(
            servicer.ListRecommendations,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsResponse.SerializeToString,
        ),
        "GetRecommendation": grpc.unary_unary_rpc_method_handler(
            servicer.GetRecommendation,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.GetRecommendationRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationClaimed": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationClaimed,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationClaimedRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationSucceeded": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationSucceeded,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationSucceededRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationFailed": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationFailed,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationFailedRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
        "google.cloud.recommender.v1beta1.Recommender", rpc_method_handlers
    )
    server.add_generic_rpc_handlers((generic_handler,))

<filename>recommender/google/cloud/recommender_v1beta1/proto/recommender_service_pb2_grpc.py
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc

from google.cloud.recommender_v1beta1.proto import (
    recommendation_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2,
)
from google.cloud.recommender_v1beta1.proto import (
    recommender_service_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2,
)


class RecommenderStub(object):
    """Provides recommendations for cloud customers for various categories like
  performance optimization, cost savings, reliability, feature discovery, etc.
  These recommendations are generated automatically based on analysis of user
  resources, configuration and monitoring metrics.
  """

    def __init__(self, channel):
        """Constructor.

    Args:
      channel: A grpc.Channel.
    """
        self.ListRecommendations = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/ListRecommendations",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsResponse.FromString,
        )
        self.GetRecommendation = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/GetRecommendation",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.GetRecommendationRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationClaimed = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationClaimed",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationClaimedRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationSucceeded = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationSucceeded",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationSucceededRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )
        self.MarkRecommendationFailed = channel.unary_unary(
            "/google.cloud.recommender.v1beta1.Recommender/MarkRecommendationFailed",
            request_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationFailedRequest.SerializeToString,
            response_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.FromString,
        )


class RecommenderServicer(object):
    """Provides recommendations for cloud customers for various categories like
  performance optimization, cost savings, reliability, feature discovery, etc.
  These recommendations are generated automatically based on analysis of user
  resources, configuration and monitoring metrics.
  """

    def ListRecommendations(self, request, context):
        """Lists recommendations for a Cloud project. Requires the recommender.*.list
    IAM permission for the specified recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def GetRecommendation(self, request, context):
        """Gets the requested recommendation. Requires the recommender.*.get
    IAM permission for the specified recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationClaimed(self, request, context):
        """Mark the Recommendation State as Claimed. Users can use this method to
    indicate to the Recommender API that they are starting to apply the
    recommendation themselves. This stops the recommendation content from being
    updated.

    MarkRecommendationClaimed can be applied to recommendations in CLAIMED,
    SUCCEEDED, FAILED, or ACTIVE state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationSucceeded(self, request, context):
        """Mark the Recommendation State as Succeeded. Users can use this method to
    indicate to the Recommender API that they have applied the recommendation
    themselves, and the operation was successful. This stops the recommendation
    content from being updated.

    MarkRecommendationSucceeded can be applied to recommendations in ACTIVE,
    CLAIMED, SUCCEEDED, or FAILED state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")

    def MarkRecommendationFailed(self, request, context):
        """Mark the Recommendation State as Failed. Users can use this method to
    indicate to the Recommender API that they have applied the recommendation
    themselves, and the operation failed. This stops the recommendation content
    from being updated.

    MarkRecommendationFailed can be applied to recommendations in ACTIVE,
    CLAIMED, SUCCEEDED, or FAILED state.

    Requires the recommender.*.update IAM permission for the specified
    recommender.
    """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details("Method not implemented!")
        raise NotImplementedError("Method not implemented!")


def add_RecommenderServicer_to_server(servicer, server):
    rpc_method_handlers = {
        "ListRecommendations": grpc.unary_unary_rpc_method_handler(
            servicer.ListRecommendations,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.ListRecommendationsResponse.SerializeToString,
        ),
        "GetRecommendation": grpc.unary_unary_rpc_method_handler(
            servicer.GetRecommendation,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.GetRecommendationRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationClaimed": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationClaimed,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationClaimedRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationSucceeded": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationSucceeded,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationSucceededRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
        "MarkRecommendationFailed": grpc.unary_unary_rpc_method_handler(
            servicer.MarkRecommendationFailed,
            request_deserializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommender__service__pb2.MarkRecommendationFailedRequest.FromString,
            response_serializer=google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_recommendation__pb2.Recommendation.SerializeToString,
        ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
        "google.cloud.recommender.v1beta1.Recommender", rpc_method_handlers
    )
    server.add_generic_rpc_handlers((generic_handler,))

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! Provides recommendations for cloud customers for various categories like   performance optimization, cost savings, reliability, feature discovery, etc.   These recommendations are generated automatically based on analysis of user   resources, configuration and monitoring metrics. Constructor.      Args:       channel: A grpc.Channel. Provides recommendations for cloud customers for various categories like   performance optimization, cost savings, reliability, feature discovery, etc.   These recommendations are generated automatically based on analysis of user   resources, configuration and monitoring metrics. Lists recommendations for a Cloud project. Requires the recommender.*.list     IAM permission for the specified recommender. Gets the requested recommendation. Requires the recommender.*.get     IAM permission for the specified recommender. Mark the Recommendation State as Claimed. Users can use this method to     indicate to the Recommender API that they are starting to apply the     recommendation themselves. This stops the recommendation content from being     updated.      MarkRecommendationClaimed can be applied to recommendations in CLAIMED,     SUCCEEDED, FAILED, or ACTIVE state.      Requires the recommender.*.update IAM permission for the specified     recommender. Mark the Recommendation State as Succeeded. Users can use this method to     indicate to the Recommender API that they have applied the recommendation     themselves, and the operation was successful. This stops the recommendation     content from being updated.      MarkRecommendationSucceeded can be applied to recommendations in ACTIVE,     CLAIMED, SUCCEEDED, or FAILED state.      Requires the recommender.*.update IAM permission for the specified     recommender. Mark the Recommendation State as Failed. Users can use this method to     indicate to the Recommender API that they have applied the recommendation     themselves, and the operation failed. This stops the recommendation content     from being updated.      MarkRecommendationFailed can be applied to recommendations in ACTIVE,     CLAIMED, SUCCEEDED, or FAILED state.      Requires the recommender.*.update IAM permission for the specified     recommender.