Python 快速使用 gRPC

更新时间: 2019-07-05 12:52

This guide gets you started with gRPC in Python with a simple working example.

Before you begin

Prerequisites

gRPC Python is supported for use with Python 2.7 or Python 3.4 or higher.

Ensure you have pip version 9.0.1 or higher:

$ python -m pip install --upgrade pip

If you cannot upgrade pip due to a system-owned installation, you can run the example in a virtualenv:

$ python -m pip install virtualenv
$ virtualenv venv
$ source venv/bin/activate
$ python -m pip install --upgrade pip

Install gRPC

Install gRPC:

$ python -m pip install grpcio

Or, to install it system wide:

$ sudo python -m pip install grpcio

On El Capitan OSX, you may get the following error:

$ OSError: [Errno 1] Operation not permitted: '/tmp/pip-qwTLbI-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/six-1.4.1-py2.7.egg-info'

You can work around this using:

$ python -m pip install grpcio --ignore-installed

Install gRPC tools

Python’s gRPC tools include the protocol buffer compiler protoc and the special plugin for generating server and client code from .proto service definitions. For the first part of our quickstart example, we’ve already generated the server and client stubs from helloworld.proto, but you’ll need the tools for the rest of our quickstart, as well as later tutorials and your own projects.

To install gRPC tools, run:

$ python -m pip install grpcio-tools

Download the example

You’ll need a local copy of the example code to work through this quickstart. Download the example code from our GitHub repository (the following command clones the entire repository, but you just need the examples for this quickstart and other tutorials):

$ # Clone the repository to get the example code:
$ git clone -b v1.22.0 https://github.com/grpc/grpc
$ # Navigate to the "hello, world" Python example:
$ cd grpc/examples/python/helloworld

Run a gRPC application

From the examples/python/helloworld directory:

  1. Run the server
   $ python greeter_server.py
  1. In another terminal, run the client
   $ python greeter_client.py

Congratulations! You’ve just run a client-server application with gRPC.

Update a gRPC service

Now let’s look at how to update the application with an extra method on the server for the client to call. Our gRPC service is defined using protocol buffers; you can find out lots more about how to define a service in a .proto file in What is gRPC? and gRPC Basics: Python. For now all you need to know is that both the server and the client “stub” have a SayHello RPC method that takes a HelloRequest parameter from the client and returns aHelloReply from the server, and that this method is defined like this:

// The greeting service definition.
service Greeter {
  // Sends a greeting
  rpc SayHello (HelloRequest) returns (HelloReply) {}
}

// The request message containing the user's name.
message HelloRequest {
  string name = 1;
}

// The response message containing the greetings
message HelloReply {
  string message = 1;
}

Let’s update this so that the Greeter service has two methods. Edit examples/protos/helloworld.proto and update it with a new SayHelloAgain method, with the same request and response types:

// The greeting service definition.
service Greeter {
  // Sends a greeting
  rpc SayHello (HelloRequest) returns (HelloReply) {}
  // Sends another greeting
  rpc SayHelloAgain (HelloRequest) returns (HelloReply) {}
}

// The request message containing the user's name.
message HelloRequest {
  string name = 1;
}

// The response message containing the greetings
message HelloReply {
  string message = 1;
}

(Don’t forget to save the file!)

Generate gRPC code

Next we need to update the gRPC code used by our application to use the new service definition.

From the examples/python/helloworld directory, run:

$ python -m grpc_tools.protoc -I../../protos --python_out=. --grpc_python_out=. ../../protos/helloworld.proto

This regenerates helloworld_pb2.py which contains our generated request and response classes and helloworld_pb2_grpc.py which contains our generated client and server classes.

Update and run the application

We now have new generated server and client code, but we still need to implement and call the new method in the human-written parts of our example application.

Update the server

In the same directory, open greeter_server.py. Implement the new method like this:

class Greeter(helloworld_pb2_grpc.GreeterServicer):

  def SayHello(self, request, context):
    return helloworld_pb2.HelloReply(message='Hello, %s!' % request.name)

  def SayHelloAgain(self, request, context):
    return helloworld_pb2.HelloReply(message='Hello again, %s!' % request.name)
...

Update the client

In the same directory, open greeter_client.py. Call the new method like this:

def run():
  channel = grpc.insecure_channel('localhost:50051')
  stub = helloworld_pb2_grpc.GreeterStub(channel)
  response = stub.SayHello(helloworld_pb2.HelloRequest(name='you'))
  print("Greeter client received: " + response.message)
  response = stub.SayHelloAgain(helloworld_pb2.HelloRequest(name='you'))
  print("Greeter client received: " + response.message)

Run!

Just like we did before, from the examples/python/helloworld directory:

  1. Run the server
   $ python greeter_server.py
  1. In another terminal, run the client
   $ python greeter_client.py

What’s next

数字民主的迷思

数字民主的迷思

[美] 马修·辛德曼 / 唐杰 / 中国政法大学出版社 / 2015-12-25 / CNY 39.00

马修·辛德曼著的《数字民主的迷思》主要讨论互联网对美国政治的影响,聚焦的是“民主化”这一课题。针对公众关于网络民主的美好想象与过分狂热,它通过对在线竞选、链接结构、流量模式、搜索引擎使用、博客与博主、内容生产的“规模经济”等主题的深入处理,借助大量数据图表与分析,勾勒出互联网政治的种种局限性。尤其表明,网络政治信息仍然为一小群精英与机构所创造和过滤,在网络的每一个层次和领域都仍然遵循着“赢家通吃”......一起来看看 《数字民主的迷思》 这本书的介绍吧!

Base64 编码/解码

Base64 编码/解码

Base64 编码/解码

SHA 加密

SHA 加密

SHA 加密工具