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nlpserv_pb2_grpc.py
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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
import common_types_pb2 as common__types__pb2
import nlpserv_pb2 as nlpserv__pb2
class NlpProcsStub(object):
"""The service definition.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Ping = channel.unary_unary(
'/nlpserv.NlpProcs/Ping',
request_serializer=common__types__pb2.PingRequest.SerializeToString,
response_deserializer=common__types__pb2.PingReply.FromString,
)
self.ParseDependency = channel.unary_unary(
'/nlpserv.NlpProcs/ParseDependency',
request_serializer=nlpserv__pb2.NlParseRequest.SerializeToString,
response_deserializer=nlpserv__pb2.NlSentence.FromString,
)
self.GetPinyin = channel.unary_unary(
'/nlpserv.NlpProcs/GetPinyin',
request_serializer=nlpserv__pb2.NlPinyinRequest.SerializeToString,
response_deserializer=nlpserv__pb2.NlText.FromString,
)
self.AddDocuments = channel.unary_unary(
'/nlpserv.NlpProcs/AddDocuments',
request_serializer=nlpserv__pb2.NlDocumentSet.SerializeToString,
response_deserializer=nlpserv__pb2.NlResult.FromString,
)
self.GetNearestDocuments = channel.unary_unary(
'/nlpserv.NlpProcs/GetNearestDocuments',
request_serializer=nlpserv__pb2.NlText.SerializeToString,
response_deserializer=nlpserv__pb2.NlDocumentSimilaritySet.FromString,
)
self.Tokenizer = channel.unary_unary(
'/nlpserv.NlpProcs/Tokenizer',
request_serializer=nlpserv__pb2.NlTokenizerRequest.SerializeToString,
response_deserializer=nlpserv__pb2.NlTokens.FromString,
)
self.EntityExtractor = channel.unary_unary(
'/nlpserv.NlpProcs/EntityExtractor',
request_serializer=nlpserv__pb2.NlTokenizerRequest.SerializeToString,
response_deserializer=nlpserv__pb2.NlEntities.FromString,
)
self.ParseAmountTerms = channel.unary_unary(
'/nlpserv.NlpProcs/ParseAmountTerms',
request_serializer=nlpserv__pb2.NlText.SerializeToString,
response_deserializer=nlpserv__pb2.NlAmountList.FromString,
)
self.GetDependencyGraph = channel.unary_unary(
'/nlpserv.NlpProcs/GetDependencyGraph',
request_serializer=nlpserv__pb2.NlTexts.SerializeToString,
response_deserializer=nlpserv__pb2.NlDepWords.FromString,
)
class NlpProcsServicer(object):
"""The service definition.
"""
def Ping(self, request, context):
"""Sends a greeting
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ParseDependency(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GetPinyin(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def AddDocuments(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GetNearestDocuments(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Tokenizer(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def EntityExtractor(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def ParseAmountTerms(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def GetDependencyGraph(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_NlpProcsServicer_to_server(servicer, server):
rpc_method_handlers = {
'Ping': grpc.unary_unary_rpc_method_handler(
servicer.Ping,
request_deserializer=common__types__pb2.PingRequest.FromString,
response_serializer=common__types__pb2.PingReply.SerializeToString,
),
'ParseDependency': grpc.unary_unary_rpc_method_handler(
servicer.ParseDependency,
request_deserializer=nlpserv__pb2.NlParseRequest.FromString,
response_serializer=nlpserv__pb2.NlSentence.SerializeToString,
),
'GetPinyin': grpc.unary_unary_rpc_method_handler(
servicer.GetPinyin,
request_deserializer=nlpserv__pb2.NlPinyinRequest.FromString,
response_serializer=nlpserv__pb2.NlText.SerializeToString,
),
'AddDocuments': grpc.unary_unary_rpc_method_handler(
servicer.AddDocuments,
request_deserializer=nlpserv__pb2.NlDocumentSet.FromString,
response_serializer=nlpserv__pb2.NlResult.SerializeToString,
),
'GetNearestDocuments': grpc.unary_unary_rpc_method_handler(
servicer.GetNearestDocuments,
request_deserializer=nlpserv__pb2.NlText.FromString,
response_serializer=nlpserv__pb2.NlDocumentSimilaritySet.SerializeToString,
),
'Tokenizer': grpc.unary_unary_rpc_method_handler(
servicer.Tokenizer,
request_deserializer=nlpserv__pb2.NlTokenizerRequest.FromString,
response_serializer=nlpserv__pb2.NlTokens.SerializeToString,
),
'EntityExtractor': grpc.unary_unary_rpc_method_handler(
servicer.EntityExtractor,
request_deserializer=nlpserv__pb2.NlTokenizerRequest.FromString,
response_serializer=nlpserv__pb2.NlEntities.SerializeToString,
),
'ParseAmountTerms': grpc.unary_unary_rpc_method_handler(
servicer.ParseAmountTerms,
request_deserializer=nlpserv__pb2.NlText.FromString,
response_serializer=nlpserv__pb2.NlAmountList.SerializeToString,
),
'GetDependencyGraph': grpc.unary_unary_rpc_method_handler(
servicer.GetDependencyGraph,
request_deserializer=nlpserv__pb2.NlTexts.FromString,
response_serializer=nlpserv__pb2.NlDepWords.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'nlpserv.NlpProcs', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
class CabochaNlpProcsStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Tokenizer = channel.unary_unary(
'/nlpserv.CabochaNlpProcs/Tokenizer',
request_serializer=nlpserv__pb2.NlText.SerializeToString,
response_deserializer=nlpserv__pb2.NlCabochaChunks.FromString,
)
class CabochaNlpProcsServicer(object):
# missing associated documentation comment in .proto file
pass
def Tokenizer(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_CabochaNlpProcsServicer_to_server(servicer, server):
rpc_method_handlers = {
'Tokenizer': grpc.unary_unary_rpc_method_handler(
servicer.Tokenizer,
request_deserializer=nlpserv__pb2.NlText.FromString,
response_serializer=nlpserv__pb2.NlCabochaChunks.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'nlpserv.CabochaNlpProcs', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))