CN113452721A - Network interaction function optimization system, method, computer equipment and medium - Google Patents

Network interaction function optimization system, method, computer equipment and medium Download PDF

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Publication number
CN113452721A
CN113452721A CN202111000515.8A CN202111000515A CN113452721A CN 113452721 A CN113452721 A CN 113452721A CN 202111000515 A CN202111000515 A CN 202111000515A CN 113452721 A CN113452721 A CN 113452721A
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function
callback
block
network interaction
fuction
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赵景
蔡德勇
陈丹
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Hunan Gaozhi Technology Co ltd
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Hunan Gaozhi Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/133Protocols for remote procedure calls [RPC]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The invention discloses a network interaction function optimization system, a network interaction function optimization method, computer equipment and a network interaction layer, which comprise a service logic layer, a function of a function-block structure and a network interaction layer which are sequentially arranged from top to bottom, wherein a request function and a callback function are arranged between the function of the function-block structure and the network interaction layer.

Description

Network interaction function optimization system, method, computer equipment and medium
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a network interaction function optimization system, a network interaction function optimization method, computer equipment and a medium.
Background
Network interaction, i.e., communication between network devices, sends and receives information to and from each other. At present, when a communication technology such as p2p (Peer-to-Peer) and mqtt (Message queue Telemetry Transport) is used for network interaction, a network terminal (which is a terminal device specially used in a network computing environment and can be used for connecting the internet and receiving and sending network information) needs to send information and receive information, and sending and receiving are respectively realized by two different functions. The action of the network terminal sending the information once is called a request once, and the function used is called a request function. The behavior that the network terminal receives the information once is called a callback, and the used function is called a callback function. In a network interaction scene, one network interaction needs to send request information through a request function and receive callback information through a callback function. In actual business logic, if the request-callback separation mode is adopted as an interface function, the whole logic is not very coherent, and the readability is not good.
Disclosure of Invention
It is an object of the present invention to avoid the deficiencies of the prior art and to provide a system, a method, a computer device and a medium for network interworking function optimization having the advantages of logical coherence and good readability.
One of the purposes of the invention is realized by the following technical scheme: the network interaction function optimization system comprises a service logic layer, a function of a function-block structure and a network interaction layer which are sequentially arranged from top to bottom, wherein the function of the function-block structure is interacted with the service logic layer as an interface, a request function and a callback function are arranged between the function of the function-block structure and the network interaction layer, all function requests in the network interaction function optimization system are sent through the request function, all callback instructions in the network interaction function optimization system are responded through the callback function, the function of the function-block structure has dual attributes of request and callback, and after the function is responded, a callback result is returned to the function of the function-block structure.
As a further improvement, the function of the function-block structure transfers the value of the callback result fed back by the callback function to the function of the function-block structure by using the characteristics of the block.
As a further improvement, the function of the function-block structure is multiple, the request function and/or the callback function is one, and the function of the function-block structure and the request function and/or the callback function are in a many-to-one relationship.
The second purpose of the invention is realized by the following technical scheme: providing a network interaction function optimization, which is optimized by the network interaction function optimization system, wherein the network interaction function optimization method comprises the following steps:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires a parameter with uniqueness from a network interaction function optimization system, the parameter is used for requesting a fuction function, and the parameter is carried in a callback fuction function;
(3) defining a global variable, and storing the parameters and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the parameter is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the parameter;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
As a further improvement, when the parameter is time t, after the request fuction function carries time t to perform network interaction at one end of the network interaction, the other end interacting with the network interaction layer returns the time t in the callback result without changing the carrying through the callback fuction function.
As a further improvement, when the parameter is time t, the network interaction function optimization method includes the following steps:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires time t from a network interaction function optimization system, the time t is used for requesting a fuction function, and the time t is carried in a callback fuction function;
(3) defining a global variable, and storing the time t and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the time t is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the time t;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
As a further improvement, a delay execution function is set in the function of the function-block structure, and the delay execution function is used for taking out a t-block key value pair in a global variable and returning a preset fixed timeout content through a block.
As a further improvement, the following process is further included between the step (3) and the step (4):
adding a delay execution function, wherein the delay execution function is delay time dT, the delay time dT takes out a t-block key value pair corresponding to the delay time dT from a global variable and returns by block carrying preset fixed timeout content, and if the callback fuction function does not respond, the delay time dT automatically responds to the block callback; if the callback fuction function responds after the delay time dT is executed, the callback fuction function cannot obtain the corresponding block through the t-block key value pair
The third purpose of the invention is realized by the following technical scheme: there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the network interaction function optimization method as described thereon when executing the computer program.
The fourth purpose of the invention is realized by the following technical scheme: there is provided a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the network interaction function optimization method as described above.
According to the network interaction function optimization system, the network interaction function optimization method, the computer equipment and the media, a layer of function (function-block structure function) is added between a business logic layer and a network interaction layer, namely, the existing centralized function of request-callback is replaced by a separated function of function-block structure, the function of function-block structure has the functions of request and callback, namely, the function of function-block structure has the double attributes of request and callback, the function of function-block structure utilizes the property of block to transfer the value of the callback result fed back by the callback function to the function of function-block structure, and meanwhile, when the communication mode of request callback needs to be changed, only the request callback function needs to be replaced without changing the newly added function, and the network interaction function optimization system has the advantages of logic continuity, good reading performance and strong controllability.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a block diagram of a network interaction function optimization system.
FIG. 2 is a flow chart of an embodiment of a method for optimizing network interaction functions.
FIG. 3 is a flow chart of another embodiment of a method for network interaction function optimization.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings and specific embodiments, and it is to be noted that the embodiments and features of the embodiments of the present application can be combined with each other without conflict.
It should be noted that, in order to better understand the technical solution of the present invention, the following terms are specifically explained:
block: is a special data structure that can hold a piece of code and make calls to execute the piece of code when needed.
The function-block function is a one-to-one asynchronous request callback function, and one call necessarily corresponds to one return result. It can express its own functional characteristics accurately by function naming. Because of its asynchronous nature, it does not block execution of the following code.
In one embodiment, as shown in fig. 1, a network interaction function optimization system includes a service logic layer, a function of function-block structure and a network interaction layer, which are sequentially arranged from top to bottom, the function of function-block structure interacts with the service logic layer as an interface, a request function and a callback function are arranged between the function of function-block structure and the network interaction layer, the request function and the callback function are still called, but no longer face the service logic layer, all function requests in the network interaction function optimization system are sent through the request function, all instructions in the network interaction function optimization system are responded through the callback function, the function of function-block structure has dual attributes of request and callback, after the callback function is responded, the result is returned to the function of function-block structure, specifically, the function of the function-block structure transfers the value of the callback result fed back by the callback function to the function of the function-block structure by using the characteristics of the block.
In a further technical scheme, the functional interfaces and the Fucntion-block structure function are in one-to-one correspondence. The functional interface is a description of a network interaction interface at a service logic level, is expressed in a functional form at a code level, can be a combination of a request function + a callback function, and can also be a function of a function-block structure, and specifically, the functional interface is to be changed from the request function + the callback function into the function of the function-block structure in the invention. The functional interfaces are distinguished by function naming and request parameters, one functional interface corresponds to one function, and function naming directivity is more clear, so that service logic is clearer; the request parameter is a part of the function, for example, if a login function interface is to be made, the account password is the request parameter.
In a further technical scheme, a plurality of functions of the function-block structure between the service logic layer and the network interaction layer are provided, one request function and/or callback function is provided, and the functions of the plurality of function-block structures and the request function and/or the callback function are in a many-to-one relationship.
Meanwhile, in an embodiment, as shown in fig. 2, the network interaction function optimization provided in the embodiment of the present invention is optimized by the network interaction function optimization system, where the network interaction function optimization method includes the following steps:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires a parameter with uniqueness from a network interaction function optimization system, the parameter is used for requesting a fuction function, and the parameter is carried in a callback fuction function;
(3) defining a global variable, and storing the parameters and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the parameter is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the parameter;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
It should be noted that, when the parameter is time t, after the request fuction function carries time t to perform network interaction at one end of the network interaction layer, the other end interacting with the network interaction layer returns the time t in the callback result without changing the carrying of the time t through the callback fuction function. In this case, referring to fig. 3, the network interaction function optimization method is implemented by the following processes:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires time t from a network interaction function optimization system, the time t is used for requesting a fuction function, and the time t is carried in a callback fuction function;
(3) defining a global variable, and storing the time t and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the time t is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the time t;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
It should be noted that the above parameters are not limited to the time t, and may be replaced by other parameters as long as the substitute parameters have uniqueness.
As a further preferred embodiment, the function of the function-block structure may implement a combination of a request function + a callback function. However, due to the uncertainty of the network, not all requests can receive callbacks, which may cause that t-block key value pairs existing in the global variable are not taken out and occupy memory space, therefore, the present invention may set a function of delayed execution and remove the t-block key value pairs from the global variable, so that the function of request timeout may be realized, which is specifically expressed as: and setting a delay execution function in the function of the function-block structure, wherein the delay execution function is used for taking out a t-block key value pair in a global variable and returning a preset fixed overtime content through block. The returning specifically means that a preset fixed overtime content is carried to the caller of the function with the function-block structure through the block, the caller of the function with the function-block structure does not need to wait for the returning of the function all the time, and the t-block key value pair in the global variable can be released.
Specifically, the following process is further included between step (3) and step (4) of the present invention:
adding a delay execution function, wherein the delay execution function is delay time dT, the delay time dT takes out a t-block key value pair corresponding to the delay time dT from a global variable and returns by block carrying preset fixed timeout content, and if the callback fuction function does not respond, the delay time dT automatically responds to the block callback; if the callback fuction function responds after the delay time dT is executed, the callback fuction function cannot obtain the corresponding block through the t-block key value pair. Since the corresponding block has already been fetched by the delay function. Thus, at the business logic level, the callback fuction function will be responded to, either normally or overtime.
According to the network interaction function optimization system and method, a layer of function (function of function-block structure) is added between a service logic layer and a network interaction layer, namely, the existing centralized function of request-callback is replaced by a separated function of function-block structure, the function of function-block structure has the functions of request and callback, namely, the function of function-block structure has the dual attributes of request and callback, after the callback function responds, the callback result is returned to the function of function-block structure, each request and callback function corresponds to the function of function-block structure, and especially when the functions of function-block structure are multiple, each request and callback function corresponds to the same function of function-block structure, so that the function naming directivity is more clear, and the service logic is clearer; meanwhile, in view of the function of the newly added function-block structure, when the request callback communication mode needs to be changed, only the request callback function needs to be replaced, and the function of the newly added layer does not need to be changed, for example, the original mqtt communication is changed into p2p communication, the function of the function-block layer does not need to be changed, the readability is better, and the controllability is stronger.
In one embodiment, a computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the network interaction function optimization method when executing the computer program.
In one embodiment, a computer-readable storage medium stores a computer program, which when executed by a processor implements the steps of the network interaction function optimization method described above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The network interaction function optimization system, method, computer device and medium provided by the present invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the core concepts of the present invention. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (10)

1. A network interaction function optimization system is characterized by comprising a service logic layer, a function of a function-block structure and a network interaction layer which are sequentially arranged from top to bottom, wherein the function of the function-block structure is interacted with the service logic layer as an interface, a request function and a callback function are arranged between the function of the function-block structure and the network interaction layer, all function requests in the network interaction function optimization system are sent through the request function, all callback instructions in the network interaction function optimization system are responded through the callback function, the function of the function-block structure has dual properties of request and callback, and after the callback function is responded, the callback result is returned to the function of the function-block structure.
2. The network interaction function optimization system of claim 1, wherein the function of the function-block structure transfers the value of the callback result fed back by the callback function to the function of the function-block structure by using the characteristics of the block.
3. The system of claim 2, wherein the function of the function-block structure is multiple, the request function and/or the callback function is one, and the functions of the function-block structure and the request function and/or the callback function are in a many-to-one relationship.
4. A network interaction function optimization method, characterized by being optimized by the network interaction function optimization system of any one of claims 1 to 3, the network interaction function optimization method comprising the steps of:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires a parameter with uniqueness from a network interaction function optimization system, the parameter is used for requesting a fuction function, and the parameter is carried in a callback fuction function;
(3) defining a global variable, and storing the parameters and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the parameter is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the parameter;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
5. The method according to claim 4, wherein when the parameter is time t, the request fuction function carries time t to perform network interaction at one end of a network interaction layer, and the other end interacting with the network interaction layer returns the time t in the callback result without changing the time t and carrying the time t through the callback fuction function.
6. The network interaction function optimization method according to claim 5, wherein when the parameter is time t, the network interaction function optimization method comprises the following steps:
(1) the service logic layer starts to call the interface, and at the moment, the function of the fuction-block structure is called as an interface function;
(2) the function of the fuction-block structure acquires time t from a network interaction function optimization system, the time t is used for requesting a fuction function, and the time t is carried in a callback fuction function;
(3) defining a global variable, and storing the time t and the block into the global variable in a key value pair mode;
(4) when the fuction function is called back to respond, the time t is obtained again through analyzing the callback result, and the corresponding block is taken out from the global variable according to the time t;
(5) and calling the block, and calling the callback result of the callback fuction function back to the function of the previous fuction-block structure through the block.
7. The network interaction function optimization method according to claim 6, wherein a function of delayed execution is set in the function of the function-block structure, and the function of delayed execution is used for taking out a t-block key value pair in a global variable and returning a preset fixed timeout content through block.
8. The network interaction function optimization method of claim 7, further comprising the following steps between the step (3) and the step (4):
adding a delay execution function, wherein the delay execution function is delay time dT, the delay time dT takes out a t-block key value pair corresponding to the delay time dT from a global variable and returns by block carrying preset fixed timeout content, and if the callback fuction function does not respond, the delay time dT automatically responds to the block callback; if the callback fuction function responds after the delay time dT is executed, the callback fuction function cannot obtain the corresponding block through the t-block key value pair.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the network interaction function optimization method according to any of claims 4 to 8 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the network interaction function optimization method according to any one of claims 4 to 8.
CN202111000515.8A 2021-08-30 2021-08-30 Network interaction function optimization system, method, computer equipment and medium Pending CN113452721A (en)

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