protobuf和flask结合

• Protobuf(Google Protocol Buffers)是google开发的的一套用于数据存储，网络通信时用于协议编解码的工具库.它和XML和Json数据差不多,把数据已某种形式保存起来.Protobuf相对与XML和Json的不同之处，它是一种二进制的数据格式，具有更高的传输，打包和解包效率

flask使用protobuf

• 首先安装protobuf

  pip install protobuf
  

• 安装protoc, 下载地址protobuf,我用的是windows 64位，去github下载 protoc-3.13.0-win64.zip

• 解压到项目下：

  

• 安装protobuf插件，settings->plugins->Marketplace,找到下面2个进行安装

  

• 编辑ProtobufRR.proto文件

  syntax = "proto3";
  
  
  // 响应体
  message Response {
    int32 returncode = 1;
    message data {
      string username = 1;
      int32 age = 2;
    }
    repeated data dataList = 2;
    string message = 3;
  }
  
  // 请求体
  message Request {
    string data = 1;
    int32 page = 2;
    int32 pageSize = 3;
  }
  
  

• 将protobufRR.proto转换python

  bin\protoc.exe --python_out=./ ProtobufRR.proto
  

• 此时会生成ProtobufRR_pd2.py文件

• 编写flask服务端

  #!/usr/bin/env python
  # -*- coding:utf-8 -*-
  """
  # Author Xu Junkai
  # coding=utf-8
  # @Time    : 2021/4/3 0:23
  # @Site    :
  # @File    : manage.py
  # @Software: PyCharm
  """
  from ProtobufRR_pb2 import Request, Response
  from flask import Flask, request
  app=Flask(__name__)
  @app.route("/my_protobuf", methods=["POST"])
  def my_protobuf():
      # 解析请求
      request_data = Request()
      request_data.ParseFromString(request.get_data())
      print("data",request_data.data)# data user
      print("page",request_data.page)# page 1
      print("pageSize",request_data.pageSize)# pageSize 10
      # 编写响应
      response = Response()
      response.returncode = 200
      response.message = "成功"
      d1 = response.data()
      d1.username = "小明"
      d1.age = 23
      d2 = response.data()
      d2.username = "小红"
      d2.age = 21
      response.dataList.append(d1)# 添加dataList里
      response.dataList.append(d2)
      return response.SerializeToString(), 200
  
  if __name__ == ‘__main__‘:
      app.run("127.0.0.1", port=5000)
  
  

• 编写测试脚本

  #!/usr/bin/env python
  # -*- coding:utf-8 -*-
  """
  # Author Xu Junkai
  # coding=utf-8
  # @Time    : 2021/4/3 0:34
  # @Site    :
  # @File    : request_server.py
  # @Software: PyCharm
  """
  from ProtobufRR_pb2 import Request, Response
  import requests
  def test_my_protobuf():
      """
      测试 protobuf
      :return:
      """
      request_data = Request()
      request_data.data = "user"
      request_data.page = 1
      request_data.pageSize = 10
      req_data = request_data.SerializeToString()# 序列化
      response = requests.post("http://127.0.0.1:5000/my_protobuf", data=req_data)
      res = Response()
      res.ParseFromString(response.content)# 反序列化
      print(res.returncode)# 200
      print(res.message)# 成功
      print(res.dataList)
      """
      [username: "\345\260\217\346\230\216"
      age: 23
      , username: "\345\260\217\347\272\242"
      age: 21
      ]
      """
      for d in res.dataList:
          print(f"username:{d.username}, age:{d.age}")
          # username:小明, age:23
          # username:小红, age:21
  if __name__ == ‘__main__‘:
      test_my_protobuf()
  
  

• 参考：

  https://blog.csdn.net/u013210620/article/details/81317731

  https://blog.csdn.net/weixin_39841709/article/details/111292232

  https://github.com/protocolbuffers

protobuf和flask结合高效数据传输

原文：https://www.cnblogs.com/xujunkai/p/14612990.html