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# Copyright 2019 gRPC authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""The example of four ways of data transmission using gRPC in Python."""
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from concurrent import futures
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from threading import Thread
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import grpc
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import demo_pb2
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import demo_pb2_grpc
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__all__ = "DemoServer"
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SERVER_ADDRESS = "localhost:23333"
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SERVER_ID = 1
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class DemoServer(demo_pb2_grpc.GRPCDemoServicer):
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# 一元模式(在一次调用中, 客户端只能向服务器传输一次请求数据, 服务器也只能返回一次响应)
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# unary-unary(In a single call, the client can only send request once, and the server can
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# only respond once.)
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def SimpleMethod(self, request, context):
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print(
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"SimpleMethod called by client(%d) the message: %s"
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% (request.client_id, request.request_data)
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)
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response = demo_pb2.Response(
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server_id=SERVER_ID,
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response_data="Python server SimpleMethod Ok!!!!",
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)
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return response
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# 客户端流模式(在一次调用中, 客户端可以多次向服务器传输数据, 但是服务器只能返回一次响应)
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# stream-unary (In a single call, the client can transfer data to the server several times,
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# but the server can only return a response once.)
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def ClientStreamingMethod(self, request_iterator, context):
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print("ClientStreamingMethod called by client...")
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for request in request_iterator:
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print(
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"recv from client(%d), message= %s"
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% (request.client_id, request.request_data)
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)
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response = demo_pb2.Response(
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server_id=SERVER_ID,
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response_data="Python server ClientStreamingMethod ok",
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)
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return response
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# 服务端流模式(在一次调用中, 客户端只能一次向服务器传输数据, 但是服务器可以多次返回响应)
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# unary-stream (In a single call, the client can only transmit data to the server at one time,
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# but the server can return the response many times.)
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def ServerStreamingMethod(self, request, context):
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print(
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"ServerStreamingMethod called by client(%d), message= %s"
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% (request.client_id, request.request_data)
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)
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# 创建一个生成器
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# create a generator
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def response_messages():
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for i in range(5):
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response = demo_pb2.Response(
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server_id=SERVER_ID,
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response_data="send by Python server, message=%d" % i,
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)
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yield response
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return response_messages()
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# 双向流模式 (在一次调用中, 客户端和服务器都可以向对方多次收发数据)
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# stream-stream (In a single call, both client and server can send and receive data
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# to each other multiple times.)
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def BidirectionalStreamingMethod(self, request_iterator, context):
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print("BidirectionalStreamingMethod called by client...")
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# 开启一个子线程去接收数据
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# Open a sub thread to receive data
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def parse_request():
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for request in request_iterator:
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print(
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"recv from client(%d), message= %s"
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% (request.client_id, request.request_data)
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)
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t = Thread(target=parse_request)
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t.start()
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for i in range(5):
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yield demo_pb2.Response(
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server_id=SERVER_ID,
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response_data="send by Python server, message= %d" % i,
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)
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t.join()
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def main():
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server = grpc.server(futures.ThreadPoolExecutor())
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demo_pb2_grpc.add_GRPCDemoServicer_to_server(DemoServer(), server)
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server.add_insecure_port(SERVER_ADDRESS)
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print("------------------start Python GRPC server")
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server.start()
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server.wait_for_termination()
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# If raise Error:
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# AttributeError: '_Server' object has no attribute 'wait_for_termination'
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# You can use the following code instead:
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# import time
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# while 1:
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# time.sleep(10)
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if __name__ == "__main__":
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main()
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