How does app automated testing achieve H5 testing

Microservices are inseparable from gRPC

Now most enterprises will adopt microservices as the software architecture , In the context of this architecture , Microservice frameworks and protocols are widely popular , and RPC It's also becoming popular . grpc Is based on RPC Framework , High performance , Very widely used .
grpc Developed and maintained by Google , Support almost all mainstream programming languages . No matter what you use Java, still Python, still Go, still Ruby wait , You can use it to realize remote services .

Protocol Buffers

grpc By default protocol buffers As a serialized transport format , Usually, the transmitted data type is represented by a with .proto Extension of the ordinary text file to store , Both the request and response data need to meet the data requirements defined here .
For example, when user authentication is carried out, it is often necessary to pass in the logged in user information , Server return token value , Corresponding proto File description , If the request or response data is too large , You can't get it all at once , Can pass stream Continuous transmission of streaming information , At this time, add stream keyword .

			  // login.proto
			  
			  service User{
			    // login
			    rpc Login (LoginReqeust ) returns (LoginReply ) {}
			    // stream
			    rpc GetImage(LoginRequest) return (stream LoginReply ){}
			  
			  }
			  
			  //  Login request data 
			  message LoginReqeust {
			    string username = 1;
			    string passwd = 2;
			  }
			  
			  // Login response data 
			  message LoginReply {
			    string token = 1;
			    string msg = 2;
			  }

proto File generation gPRC Code

With Python For example , Installation is required first Python Related to the package .

		  pip install grpcio
		  pip install grpcio-tools

Corresponding generation Python Code commands , Be careful -I Express proto The subdirectory where the file is located ：

		  python -m grpc_tools.protoc --python_out=. --grpc_python_out=. -I protos login.proto

After entering the command , There will be two more files in the directory , One is called login_pb2.py, It reports the data formats related to requests and responses , There's another one called login_pb2_grpc.py, Classes that contain the client and the response side .
Generated login_pb2.grpc.py The code in …
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establish gRPC service

Creating an interface requires the above generated UserServicer class .

		  import login_pb2_grpc
		  import login_pb2
		  
		  class User(login_pb2_grpc.UserServicer):
		  
		    def Login(self, request, context):
		      return login_pb2.LoginReply(msg=f"hello, {
      request.username}",
		                                 token="It is my token")

Operation service ：

		  import grpc
		  from concurrent import futures
		  
		  def serve():
		    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
		    login_pb2_grpc.add_UserServicer_to_server(
		        User(), server)
		    server.add_insecure_port('[::]:50051')
		    server.start()
		    server.wait_for_termination()
		  
		  serve()

establish gRPC client

An example ：

		  import grpc
		  
		  def run():
		      with grpc.insecure_channel('localhost:50051') as channel:
		          stub = login_pb2_grpc.UserStub(channel)
		          response = stub.Login(login_pb2.LoginRequest(username='you', passwd="123"))
		          print("Client received: " + response.msg)

protocol buffer Turn into json

After the client gets the response result , You can get fields through class attributes ：

			  response.msg
			  response.token

Sometimes we turn it into json Format , Easy to get the whole response . You can use protobuf This library , Install first ：

		  pip install protobuf

Next, use the conversion to json Format method is ok .

		  from google.protobuf.json_format import MessageToJson
		  import json
		  
		  def run():
		      with grpc.insecure_channel('localhost:50051') as channel:
		          stub = login_pb2_grpc.UserStub(channel)
		          response = stub.Login(login_pb2.LoginRequest(username='you', passwd="123"))
		  		print(json.loads(MessageToJson(response)))