增加 grpc 生成命令
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rpc/ai_pb2.py
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29
rpc/ai_pb2.py
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# -*- coding: utf-8 -*-
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# Generated by the protocol buffer compiler. DO NOT EDIT!
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# source: rpc/ai.proto
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"""Generated protocol buffer code."""
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import descriptor_pool as _descriptor_pool
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from google.protobuf import symbol_database as _symbol_database
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from google.protobuf.internal import builder as _builder
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# @@protoc_insertion_point(imports)
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_sym_db = _symbol_database.Default()
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DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0crpc/ai.proto\"Y\n\x12\x41\x64\x64\x44ocumentRequest\x12\x0c\n\x04text\x18\x01 \x01(\t\x12\x0f\n\x07user_id\x18\x02 \x01(\x04\x12\x10\n\x08\x64\x61tabase\x18\x03 \x01(\t\x12\x12\n\ncollection\x18\x04 \x01(\t\"\x1e\n\x10\x41\x64\x64\x44ocumentReply\x12\n\n\x02id\x18\x01 \x01(\t2C\n\x08LLMQuery\x12\x37\n\x0b\x41\x64\x64\x44ocument\x12\x13.AddDocumentRequest\x1a\x11.AddDocumentReply\"\x00\x62\x06proto3')
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_globals = globals()
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_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
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_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'rpc.ai_pb2', _globals)
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if _descriptor._USE_C_DESCRIPTORS == False:
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DESCRIPTOR._options = None
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_globals['_ADDDOCUMENTREQUEST']._serialized_start=16
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_globals['_ADDDOCUMENTREQUEST']._serialized_end=105
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_globals['_ADDDOCUMENTREPLY']._serialized_start=107
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_globals['_ADDDOCUMENTREPLY']._serialized_end=137
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_globals['_LLMQUERY']._serialized_start=139
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_globals['_LLMQUERY']._serialized_end=206
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# @@protoc_insertion_point(module_scope)
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66
rpc/ai_pb2_grpc.py
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rpc/ai_pb2_grpc.py
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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
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"""Client and server classes corresponding to protobuf-defined services."""
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import grpc
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from rpc import ai_pb2 as rpc_dot_ai__pb2
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class LLMQueryStub(object):
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"""Missing associated documentation comment in .proto file."""
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def __init__(self, channel):
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"""Constructor.
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Args:
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channel: A grpc.Channel.
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"""
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self.AddDocument = channel.unary_unary(
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'/LLMQuery/AddDocument',
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request_serializer=rpc_dot_ai__pb2.AddDocumentRequest.SerializeToString,
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response_deserializer=rpc_dot_ai__pb2.AddDocumentReply.FromString,
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)
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class LLMQueryServicer(object):
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"""Missing associated documentation comment in .proto file."""
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def AddDocument(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def add_LLMQueryServicer_to_server(servicer, server):
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rpc_method_handlers = {
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'AddDocument': grpc.unary_unary_rpc_method_handler(
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servicer.AddDocument,
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request_deserializer=rpc_dot_ai__pb2.AddDocumentRequest.FromString,
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response_serializer=rpc_dot_ai__pb2.AddDocumentReply.SerializeToString,
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),
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}
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generic_handler = grpc.method_handlers_generic_handler(
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'LLMQuery', rpc_method_handlers)
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server.add_generic_rpc_handlers((generic_handler,))
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# This class is part of an EXPERIMENTAL API.
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class LLMQuery(object):
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"""Missing associated documentation comment in .proto file."""
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@staticmethod
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def AddDocument(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(request, target, '/LLMQuery/AddDocument',
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rpc_dot_ai__pb2.AddDocumentRequest.SerializeToString,
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rpc_dot_ai__pb2.AddDocumentReply.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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