# fmt: off
# flake8: noqa
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import warnings

import async_inference_pb2 as async__inference__pb2

GRPC_GENERATED_VERSION = '1.71.0'
GRPC_VERSION = grpc.__version__
_version_not_supported = False

try:
    from grpc._utilities import first_version_is_lower
    _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
except ImportError:
    _version_not_supported = True

if _version_not_supported:
    raise RuntimeError(
        f'The grpc package installed is at version {GRPC_VERSION},'
        + f' but the generated code in async_inference_pb2_grpc.py depends on'
        + f' grpcio>={GRPC_GENERATED_VERSION}.'
        + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
        + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
    )


class AsyncInferenceStub:
    """AsyncInference: from Robot perspective
    Robot send observations to & executes action received from a remote Policy server
    """

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

        Args:
            channel: A grpc.Channel.
        """
        self.SendObservations = channel.stream_unary(
                '/async_inference.AsyncInference/SendObservations',
                request_serializer=async__inference__pb2.Observation.SerializeToString,
                response_deserializer=async__inference__pb2.Empty.FromString,
                _registered_method=True)
        self.StreamActions = channel.unary_stream(
                '/async_inference.AsyncInference/StreamActions',
                request_serializer=async__inference__pb2.Empty.SerializeToString,
                response_deserializer=async__inference__pb2.Action.FromString,
                _registered_method=True)
        self.SendPolicyInstructions = channel.unary_unary(
                '/async_inference.AsyncInference/SendPolicyInstructions',
                request_serializer=async__inference__pb2.PolicySetup.SerializeToString,
                response_deserializer=async__inference__pb2.Empty.FromString,
                _registered_method=True)
        self.Ready = channel.unary_unary(
                '/async_inference.AsyncInference/Ready',
                request_serializer=async__inference__pb2.Empty.SerializeToString,
                response_deserializer=async__inference__pb2.Empty.FromString,
                _registered_method=True)


class AsyncInferenceServicer:
    """AsyncInference: from Robot perspective
    Robot send observations to & executes action received from a remote Policy server
    """

    def SendObservations(self, request_iterator, context):
        """Robot -> Policy to share observations with a remote inference server
        Policy -> Robot to share actions predicted for given observations
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def StreamActions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def SendPolicyInstructions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def Ready(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


def add_AsyncInferenceServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'SendObservations': grpc.stream_unary_rpc_method_handler(
                    servicer.SendObservations,
                    request_deserializer=async__inference__pb2.Observation.FromString,
                    response_serializer=async__inference__pb2.Empty.SerializeToString,
            ),
            'StreamActions': grpc.unary_stream_rpc_method_handler(
                    servicer.StreamActions,
                    request_deserializer=async__inference__pb2.Empty.FromString,
                    response_serializer=async__inference__pb2.Action.SerializeToString,
            ),
            'SendPolicyInstructions': grpc.unary_unary_rpc_method_handler(
                    servicer.SendPolicyInstructions,
                    request_deserializer=async__inference__pb2.PolicySetup.FromString,
                    response_serializer=async__inference__pb2.Empty.SerializeToString,
            ),
            'Ready': grpc.unary_unary_rpc_method_handler(
                    servicer.Ready,
                    request_deserializer=async__inference__pb2.Empty.FromString,
                    response_serializer=async__inference__pb2.Empty.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'async_inference.AsyncInference', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))
    server.add_registered_method_handlers('async_inference.AsyncInference', rpc_method_handlers)


 # This class is part of an EXPERIMENTAL API.
class AsyncInference:
    """AsyncInference: from Robot perspective
    Robot send observations to & executes action received from a remote Policy server
    """

    @staticmethod
    def SendObservations(request_iterator,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.stream_unary(
            request_iterator,
            target,
            '/async_inference.AsyncInference/SendObservations',
            async__inference__pb2.Observation.SerializeToString,
            async__inference__pb2.Empty.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def StreamActions(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,
            '/async_inference.AsyncInference/StreamActions',
            async__inference__pb2.Empty.SerializeToString,
            async__inference__pb2.Action.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def SendPolicyInstructions(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_unary(
            request,
            target,
            '/async_inference.AsyncInference/SendPolicyInstructions',
            async__inference__pb2.PolicySetup.SerializeToString,
            async__inference__pb2.Empty.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def Ready(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_unary(
            request,
            target,
            '/async_inference.AsyncInference/Ready',
            async__inference__pb2.Empty.SerializeToString,
            async__inference__pb2.Empty.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)