The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#) https://grpc.io/
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# Copyright 2019 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""The example of four ways of data transmission using gRPC in Python."""
from concurrent import futures
from threading import Thread
import grpc
import demo_pb2
import demo_pb2_grpc
__all__ = "DemoServer"
SERVER_ADDRESS = "localhost:23333"
SERVER_ID = 1
class DemoServer(demo_pb2_grpc.GRPCDemoServicer):
# 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)
# unary-unary(In a single call, the client can only send request once, and the server can
# only respond once.)
def SimpleMethod(self, request, context):
print(
"SimpleMethod called by client(%d) the message: %s"
% (request.client_id, request.request_data)
)
response = demo_pb2.Response(
server_id=SERVER_ID,
response_data="Python server SimpleMethod Ok!!!!",
)
return response
# 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)
# stream-unary (In a single call, the client can transfer data to the server several times,
# but the server can only return a response once.)
def ClientStreamingMethod(self, request_iterator, context):
print("ClientStreamingMethod called by client...")
for request in request_iterator:
print(
"recv from client(%d), message= %s"
% (request.client_id, request.request_data)
)
response = demo_pb2.Response(
server_id=SERVER_ID,
response_data="Python server ClientStreamingMethod ok",
)
return response
# 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)
# unary-stream (In a single call, the client can only transmit data to the server at one time,
# but the server can return the response many times.)
def ServerStreamingMethod(self, request, context):
print(
"ServerStreamingMethod called by client(%d), message= %s"
% (request.client_id, request.request_data)
)
# 创建一个生成器
# create a generator
def response_messages():
for i in range(5):
response = demo_pb2.Response(
server_id=SERVER_ID,
response_data="send by Python server, message=%d" % i,
)
yield response
return response_messages()
# 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)
# stream-stream (In a single call, both client and server can send and receive data
# to each other multiple times.)
def BidirectionalStreamingMethod(self, request_iterator, context):
print("BidirectionalStreamingMethod called by client...")
# 开启一个子线程去接收数据
# Open a sub thread to receive data
def parse_request():
for request in request_iterator:
print(
"recv from client(%d), message= %s"
% (request.client_id, request.request_data)
)
t = Thread(target=parse_request)
t.start()
for i in range(5):
yield demo_pb2.Response(
server_id=SERVER_ID,
response_data="send by Python server, message= %d" % i,
)
t.join()
def main():
server = grpc.server(futures.ThreadPoolExecutor())
demo_pb2_grpc.add_GRPCDemoServicer_to_server(DemoServer(), server)
server.add_insecure_port(SERVER_ADDRESS)
print("------------------start Python GRPC server")
server.start()
server.wait_for_termination()
# If raise Error:
# AttributeError: '_Server' object has no attribute 'wait_for_termination'
# You can use the following code instead:
# import time
# while 1:
# time.sleep(10)
if __name__ == "__main__":
main()