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

from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from truffle.infer.convo import conversation_pb2 as truffle_dot_infer_dot_convo_dot_conversation__pb2
from truffle.infer import embedding_pb2 as truffle_dot_infer_dot_embedding__pb2
from truffle.infer import gencfg_pb2 as truffle_dot_infer_dot_gencfg__pb2
from truffle.infer import irequest_pb2 as truffle_dot_infer_dot_irequest__pb2
from truffle.infer import iresponse_pb2 as truffle_dot_infer_dot_iresponse__pb2
from truffle.infer import model_pb2 as truffle_dot_infer_dot_model__pb2

GRPC_GENERATED_VERSION = '1.72.0'
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 truffle/infer/infer_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 InferenceServiceStub(object):
    """Missing associated documentation comment in .proto file."""

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

        Args:
            channel: A grpc.Channel.
        """
        self.Generate = channel.unary_stream(
                '/truffle.infer.InferenceService/Generate',
                request_serializer=truffle_dot_infer_dot_irequest__pb2.IRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_iresponse__pb2.IResponse.FromString,
                _registered_method=True)
        self.GenerateSync = channel.unary_unary(
                '/truffle.infer.InferenceService/GenerateSync',
                request_serializer=truffle_dot_infer_dot_irequest__pb2.IRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_iresponse__pb2.IResponse.FromString,
                _registered_method=True)
        self.GenerateBatch = channel.unary_unary(
                '/truffle.infer.InferenceService/GenerateBatch',
                request_serializer=truffle_dot_infer_dot_irequest__pb2.BatchIRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_iresponse__pb2.BatchIResponse.FromString,
                _registered_method=True)
        self.Embed = channel.unary_unary(
                '/truffle.infer.InferenceService/Embed',
                request_serializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.FromString,
                _registered_method=True)
        self.EmbedQueries = channel.unary_unary(
                '/truffle.infer.InferenceService/EmbedQueries',
                request_serializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.FromString,
                _registered_method=True)
        self.GetModelList = channel.unary_unary(
                '/truffle.infer.InferenceService/GetModelList',
                request_serializer=truffle_dot_infer_dot_model__pb2.GetModelListRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.ModelList.FromString,
                _registered_method=True)
        self.GetModel = channel.unary_unary(
                '/truffle.infer.InferenceService/GetModel',
                request_serializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.Model.FromString,
                _registered_method=True)
        self.SetModels = channel.unary_unary(
                '/truffle.infer.InferenceService/SetModels',
                request_serializer=truffle_dot_infer_dot_model__pb2.SetModelsRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.SetModelsResponse.FromString,
                _registered_method=True)
        self.GetModelState = channel.unary_unary(
                '/truffle.infer.InferenceService/GetModelState',
                request_serializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.ModelStateUpdate.FromString,
                _registered_method=True)
        self.OnModelStateChange = channel.unary_stream(
                '/truffle.infer.InferenceService/OnModelStateChange',
                request_serializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.ModelStateUpdate.FromString,
                _registered_method=True)
        self.GetEmbeddingModelList = channel.unary_unary(
                '/truffle.infer.InferenceService/GetEmbeddingModelList',
                request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.EmbeddingModelList.FromString,
                _registered_method=True)
        self.GetEmbeddingModelInfo = channel.unary_unary(
                '/truffle.infer.InferenceService/GetEmbeddingModelInfo',
                request_serializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_model__pb2.EmbeddingModelInfo.FromString,
                _registered_method=True)
        self.BuildConvo = channel.unary_unary(
                '/truffle.infer.InferenceService/BuildConvo',
                request_serializer=truffle_dot_infer_dot_convo_dot_conversation__pb2.Conversation.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_convo_dot_conversation__pb2.BuiltContext.FromString,
                _registered_method=True)
        self.ValidateGenerationConfig = channel.unary_unary(
                '/truffle.infer.InferenceService/ValidateGenerationConfig',
                request_serializer=truffle_dot_infer_dot_gencfg__pb2.ValidateConfigRequest.SerializeToString,
                response_deserializer=truffle_dot_infer_dot_gencfg__pb2.ValidateConfigResponse.FromString,
                _registered_method=True)


class InferenceServiceServicer(object):
    """Missing associated documentation comment in .proto file."""

    def Generate(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 GenerateSync(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 GenerateBatch(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 Embed(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 EmbedQueries(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 GetModelList(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 GetModel(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 SetModels(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 GetModelState(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 OnModelStateChange(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 GetEmbeddingModelList(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 GetEmbeddingModelInfo(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 BuildConvo(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 ValidateGenerationConfig(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_InferenceServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'Generate': grpc.unary_stream_rpc_method_handler(
                    servicer.Generate,
                    request_deserializer=truffle_dot_infer_dot_irequest__pb2.IRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_iresponse__pb2.IResponse.SerializeToString,
            ),
            'GenerateSync': grpc.unary_unary_rpc_method_handler(
                    servicer.GenerateSync,
                    request_deserializer=truffle_dot_infer_dot_irequest__pb2.IRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_iresponse__pb2.IResponse.SerializeToString,
            ),
            'GenerateBatch': grpc.unary_unary_rpc_method_handler(
                    servicer.GenerateBatch,
                    request_deserializer=truffle_dot_infer_dot_irequest__pb2.BatchIRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_iresponse__pb2.BatchIResponse.SerializeToString,
            ),
            'Embed': grpc.unary_unary_rpc_method_handler(
                    servicer.Embed,
                    request_deserializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.SerializeToString,
            ),
            'EmbedQueries': grpc.unary_unary_rpc_method_handler(
                    servicer.EmbedQueries,
                    request_deserializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.SerializeToString,
            ),
            'GetModelList': grpc.unary_unary_rpc_method_handler(
                    servicer.GetModelList,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.GetModelListRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.ModelList.SerializeToString,
            ),
            'GetModel': grpc.unary_unary_rpc_method_handler(
                    servicer.GetModel,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.Model.SerializeToString,
            ),
            'SetModels': grpc.unary_unary_rpc_method_handler(
                    servicer.SetModels,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.SetModelsRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.SetModelsResponse.SerializeToString,
            ),
            'GetModelState': grpc.unary_unary_rpc_method_handler(
                    servicer.GetModelState,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.ModelStateUpdate.SerializeToString,
            ),
            'OnModelStateChange': grpc.unary_stream_rpc_method_handler(
                    servicer.OnModelStateChange,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.ModelStateUpdate.SerializeToString,
            ),
            'GetEmbeddingModelList': grpc.unary_unary_rpc_method_handler(
                    servicer.GetEmbeddingModelList,
                    request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.EmbeddingModelList.SerializeToString,
            ),
            'GetEmbeddingModelInfo': grpc.unary_unary_rpc_method_handler(
                    servicer.GetEmbeddingModelInfo,
                    request_deserializer=truffle_dot_infer_dot_model__pb2.GetModelRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_model__pb2.EmbeddingModelInfo.SerializeToString,
            ),
            'BuildConvo': grpc.unary_unary_rpc_method_handler(
                    servicer.BuildConvo,
                    request_deserializer=truffle_dot_infer_dot_convo_dot_conversation__pb2.Conversation.FromString,
                    response_serializer=truffle_dot_infer_dot_convo_dot_conversation__pb2.BuiltContext.SerializeToString,
            ),
            'ValidateGenerationConfig': grpc.unary_unary_rpc_method_handler(
                    servicer.ValidateGenerationConfig,
                    request_deserializer=truffle_dot_infer_dot_gencfg__pb2.ValidateConfigRequest.FromString,
                    response_serializer=truffle_dot_infer_dot_gencfg__pb2.ValidateConfigResponse.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'truffle.infer.InferenceService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))
    server.add_registered_method_handlers('truffle.infer.InferenceService', rpc_method_handlers)


 # This class is part of an EXPERIMENTAL API.
class InferenceService(object):
    """Missing associated documentation comment in .proto file."""

    @staticmethod
    def Generate(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,
            '/truffle.infer.InferenceService/Generate',
            truffle_dot_infer_dot_irequest__pb2.IRequest.SerializeToString,
            truffle_dot_infer_dot_iresponse__pb2.IResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GenerateSync(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,
            '/truffle.infer.InferenceService/GenerateSync',
            truffle_dot_infer_dot_irequest__pb2.IRequest.SerializeToString,
            truffle_dot_infer_dot_iresponse__pb2.IResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GenerateBatch(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,
            '/truffle.infer.InferenceService/GenerateBatch',
            truffle_dot_infer_dot_irequest__pb2.BatchIRequest.SerializeToString,
            truffle_dot_infer_dot_iresponse__pb2.BatchIResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def Embed(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,
            '/truffle.infer.InferenceService/Embed',
            truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.SerializeToString,
            truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def EmbedQueries(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,
            '/truffle.infer.InferenceService/EmbedQueries',
            truffle_dot_infer_dot_embedding__pb2.EmbeddingRequest.SerializeToString,
            truffle_dot_infer_dot_embedding__pb2.EmbeddingResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GetModelList(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,
            '/truffle.infer.InferenceService/GetModelList',
            truffle_dot_infer_dot_model__pb2.GetModelListRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.ModelList.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GetModel(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,
            '/truffle.infer.InferenceService/GetModel',
            truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.Model.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def SetModels(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,
            '/truffle.infer.InferenceService/SetModels',
            truffle_dot_infer_dot_model__pb2.SetModelsRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.SetModelsResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GetModelState(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,
            '/truffle.infer.InferenceService/GetModelState',
            truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.ModelStateUpdate.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def OnModelStateChange(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,
            '/truffle.infer.InferenceService/OnModelStateChange',
            truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.ModelStateUpdate.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GetEmbeddingModelList(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,
            '/truffle.infer.InferenceService/GetEmbeddingModelList',
            google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
            truffle_dot_infer_dot_model__pb2.EmbeddingModelList.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def GetEmbeddingModelInfo(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,
            '/truffle.infer.InferenceService/GetEmbeddingModelInfo',
            truffle_dot_infer_dot_model__pb2.GetModelRequest.SerializeToString,
            truffle_dot_infer_dot_model__pb2.EmbeddingModelInfo.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def BuildConvo(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,
            '/truffle.infer.InferenceService/BuildConvo',
            truffle_dot_infer_dot_convo_dot_conversation__pb2.Conversation.SerializeToString,
            truffle_dot_infer_dot_convo_dot_conversation__pb2.BuiltContext.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)

    @staticmethod
    def ValidateGenerationConfig(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,
            '/truffle.infer.InferenceService/ValidateGenerationConfig',
            truffle_dot_infer_dot_gencfg__pb2.ValidateConfigRequest.SerializeToString,
            truffle_dot_infer_dot_gencfg__pb2.ValidateConfigResponse.FromString,
            options,
            channel_credentials,
            insecure,
            call_credentials,
            compression,
            wait_for_ready,
            timeout,
            metadata,
            _registered_method=True)
