# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc

from tensorboard.uploader.proto import export_service_pb2 as tensorboard_dot_uploader_dot_proto_dot_export__service__pb2


class TensorBoardExporterServiceStub(object):
    """Service for exporting data from TensorBoard.dev.
    """

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

        Args:
            channel: A grpc.Channel.
        """
        self.StreamExperiments = channel.unary_stream(
                '/tensorboard.service.TensorBoardExporterService/StreamExperiments',
                request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.SerializeToString,
                response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.FromString,
                )
        self.StreamExperimentData = channel.unary_stream(
                '/tensorboard.service.TensorBoardExporterService/StreamExperimentData',
                request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.SerializeToString,
                response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.FromString,
                )
        self.StreamBlobData = channel.unary_stream(
                '/tensorboard.service.TensorBoardExporterService/StreamBlobData',
                request_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.SerializeToString,
                response_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.FromString,
                )


class TensorBoardExporterServiceServicer(object):
    """Service for exporting data from TensorBoard.dev.
    """

    def StreamExperiments(self, request, context):
        """Stream the experiment_id of all the experiments owned by the caller.
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def StreamExperimentData(self, request, context):
        """Stream scalars for all the runs and tags in an experiment.
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def StreamBlobData(self, request, context):
        """Stream blob as chunks for a given blob_id.
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


def add_TensorBoardExporterServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'StreamExperiments': grpc.unary_stream_rpc_method_handler(
                    servicer.StreamExperiments,
                    request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.FromString,
                    response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.SerializeToString,
            ),
            'StreamExperimentData': grpc.unary_stream_rpc_method_handler(
                    servicer.StreamExperimentData,
                    request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.FromString,
                    response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.SerializeToString,
            ),
            'StreamBlobData': grpc.unary_stream_rpc_method_handler(
                    servicer.StreamBlobData,
                    request_deserializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.FromString,
                    response_serializer=tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'tensorboard.service.TensorBoardExporterService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))


 # This class is part of an EXPERIMENTAL API.
class TensorBoardExporterService(object):
    """Service for exporting data from TensorBoard.dev.
    """

    @staticmethod
    def StreamExperiments(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamExperiments',
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsRequest.SerializeToString,
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentsResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def StreamExperimentData(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamExperimentData',
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataRequest.SerializeToString,
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamExperimentDataResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def StreamBlobData(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_stream(request, target, '/tensorboard.service.TensorBoardExporterService/StreamBlobData',
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataRequest.SerializeToString,
            tensorboard_dot_uploader_dot_proto_dot_export__service__pb2.StreamBlobDataResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)