CN117667031A - Parameter adaptation method and device between Application Programming Interfaces (APIs) - Google Patents

Parameter adaptation method and device between Application Programming Interfaces (APIs) Download PDF

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Publication number
CN117667031A
CN117667031A CN202211026581.7A CN202211026581A CN117667031A CN 117667031 A CN117667031 A CN 117667031A CN 202211026581 A CN202211026581 A CN 202211026581A CN 117667031 A CN117667031 A CN 117667031A
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parameter
api
parameters
function
mapping
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陈然
杨鑫
蒲哲
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ZTE Corp
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ZTE Corp
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Priority to PCT/CN2023/113574 priority patent/WO2024041446A1/en
Publication of CN117667031A publication Critical patent/CN117667031A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/30Creation or generation of source code
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
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Abstract

The embodiment of the invention provides a parameter adaptation method and a device between Application Programming Interfaces (APIs). By the method and the device, the output parameters of a front API in the API programming are analyzed, and the obtained output parameters are put into a parameter pool and presented through an interface; analyzing input parameters of a rear API in the API programming, and presenting the input parameters on an interface; the method comprises the steps of selecting a target output parameter matched with an input parameter of a rear API from output parameters in a parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter matching between the front API and the rear API, solve the problem that parameter matching between APIs in a complex arrangement scene cannot be easily and simply used in the related art, and achieve the effect of improving parameter matching efficiency between APIs.

Description

Parameter adaptation method and device between Application Programming Interfaces (APIs)
Technical Field
The embodiment of the invention relates to the field of computer application, in particular to a parameter adaptation method and device between Application Programming Interfaces (APIs).
Background
The application programming interface (Application Programming Interface, API) orchestration refers to that the service capability of each service component uses the API as an atomic service that is not detachable, and the orchestration and combination of execution sequences are performed, so as to generate an API with new service capability. Without prior agreement, the input-output parameters of different APIs tend to differ in structure and data content. Under the micro-service architecture, each micro-service component is independently developed by different teams, and this variability is further amplified. Among the heterogeneous APIs, the combination of the APIs cannot be completed through a simple connection relation, and the parameters between the APIs need to be adapted.
Currently, the digital transformation of the industry is continuously accelerating. In the industry-oriented data process, the requirement of arranging the existing APIs to achieve a new function of rapid iteration is gradually emerging in the traditional industry. Generally, the API in the traditional industry relates to professional industry knowledge, meanwhile, the software technology is relatively backward relative to the Internet software industry, the technology iteration update is slow, the API isomerism phenomenon is more obvious, a more complex API arrangement scene is formed, and parameter adaptation among APIs is more challenging.
The existing inter-API parameter adaptation scheme can not provide an inter-API parameter adaptation mode which is simple and easy to use, low in code development cost and capable of meeting complex arrangement scenes.
Disclosure of Invention
The embodiment of the invention provides a parameter adaptation method and device between Application Programming Interfaces (APIs), which at least solve the problem that parameter adaptation between APIs in complex programming scenes cannot be easily and simply realized in the related technology at low cost.
According to one embodiment of the present invention, there is provided a parameter adapting method between application programming interfaces APIs, including: analyzing the output parameters of the front-end API in the API programming, and putting the obtained output parameters into a parameter pool and presenting the output parameters through an interface; analyzing input parameters of a rear API in the API programming, and presenting the input parameters on an interface; and selecting a target output parameter matched with the input parameter of the rear API from the output parameters in the parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter adaptation between the front API and the rear API.
In an exemplary embodiment, the generating the target output parameter based on the output parameter includes: and carrying out function processing on the output parameters by adopting a built-in library function in an interface mode to generate the target output parameters.
In an exemplary embodiment, before the performing the function processing on the output parameter by using the built-in library function in the interfacing manner to generate the target output parameter, the method further includes: and customizing function logic by an encoding mode to generate a new function, and storing the generated new function as a built-in library function.
In an exemplary embodiment, the mapping the target output parameter with the input parameter of the post API includes: and mapping and correlating the target output parameters with the input parameters of the rear API through a visualization operation.
According to another embodiment of the present invention, there is provided an application programming interface parameter adapting apparatus including: the first analysis module is used for analyzing the output parameters of the front-end API in the API programming, and putting the obtained output parameters into a parameter pool and presenting the output parameters through an interface; the second analysis module is used for analyzing the input parameters of the rear API in the API layout and presenting the input parameters on the interface; and the mapping adaptation module is used for selecting a target output parameter which is adapted to the input parameter of the rear API from the output parameters in the parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter adaptation between the front API and the rear API.
In an exemplary embodiment, the mapping adaptation module includes: and the built-in function unit is used for performing function processing on the output parameters by adopting a built-in library function in an interface mode so as to generate the target output parameters.
In an exemplary embodiment, the mapping adaptation module further includes: and the custom function unit is used for customizing the function logic in a coding mode to generate a new function and storing the generated new function as a built-in library function.
In an exemplary embodiment, the mapping adaptation module further includes: and the mapping unit is used for mapping and correlating the target output parameters with the input parameters of the post API through a visualization operation.
According to a further embodiment of the invention, there is also provided a computer readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the invention, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
By the parameter adaptation method among APIs provided by the invention, the output parameters of the front-end APIs in the API programming are analyzed, and the obtained output parameters are put into a parameter pool and presented through an interface; analyzing input parameters of a rear API in the API programming, and presenting the input parameters on an interface; the method comprises the steps of selecting a target output parameter matched with an input parameter of a rear API from output parameters in a parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter adaptation between the front API and the rear API, thereby solving the problem that parameter adaptation between APIs in complex arrangement scenes cannot be easily and simply solved at low cost in the related art, and achieving the effect of improving parameter adaptation efficiency between APIs.
Drawings
FIG. 1 is a block diagram of a mobile terminal in a method for adapting parameters between APIs according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of parameter adaptation between APIs in accordance with an embodiment of the invention;
FIG. 3 is a block diagram of a parameter adapting device according to an embodiment of the present invention;
FIG. 4 is a block diagram of the mapping adaptation module according to an embodiment of the invention;
FIG. 5 is a block diagram of the mapping adaptation module according to an embodiment of the invention;
FIG. 6 is a block diagram of the mapping adaptation module according to an embodiment of the invention;
FIG. 7 is a block diagram of a parameter adaptation device according to an embodiment of the inventive scenario;
FIG. 8 is a schematic diagram of a display of available parameters according to an embodiment of the present invention;
FIG. 9 is a diagram of a parameter mapping relationship according to an embodiment of the present invention;
FIG. 10 is a schematic illustration of a parameter mapping interface display in accordance with an embodiment of the present invention;
FIG. 11 is a schematic diagram of a built-in function conversion according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of a built-in function processing interface display according to an embodiment of the present invention;
FIG. 13 is a diagram of custom function conversion according to an embodiment of the present invention;
FIG. 14 is a schematic illustration of a custom function editing interface display in accordance with an embodiment of the present invention;
FIG. 15 is a diagram of a custom function processing interface display according to an embodiment of the present invention;
FIG. 16 is a diagram of a custom function mapping interface display according to an embodiment of the present invention;
FIG. 17 is a diagram of a parameter mapping relationship according to an embodiment of the present invention;
FIG. 18 is a schematic diagram of a functional process interfacing display according to an embodiment of the present invention;
FIG. 19 is a flow chart of automatically recommending a monthly rental package, in accordance with an illustrative embodiment of the present invention;
FIG. 20 is a schematic diagram of an interface parameter adaptation according to an embodiment of the present invention;
FIG. 21 is a schematic diagram of a minimum consumption analysis function edit according to an embodiment of the present invention;
FIG. 22 is a schematic diagram of a highest consumption analysis function compilation in accordance with an embodiment of a scenario of the present invention;
FIG. 23 is a schematic diagram of a parameter adaptation interface in accordance with an embodiment of the present invention;
FIG. 24 is a flow chart of an employee automatic monthly test core assessment in accordance with an embodiment of the present invention;
FIG. 25 is a diagram of a custom assessment level computation function interface, according to an embodiment of the present invention;
FIG. 26 is a schematic diagram of a parameter mapping interface in accordance with an embodiment of the present invention;
FIG. 27 is a schematic diagram of an assessment ranking function splitting according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of the mobile terminal according to an inter-API parameter adaptation method according to an embodiment of the present invention. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store computer programs, such as software programs of application software and modules, such as computer programs corresponding to the parameter adaptation method between APIs in the embodiment of the present invention, and the processor 102 executes the computer programs stored in the memory 104 to perform various functional applications and data processing, that is, implement the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a method for adapting parameters between APIs running on the mobile terminal is provided, and fig. 2 is a flowchart of a method for adapting parameters between APIs according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:
step S202, analyzing the output parameters of the front-end API in the API programming, and putting the obtained output parameters into a parameter pool and presenting the output parameters through an interface;
step S204, analyzing the input parameters of the rear API in the API programming, and presenting the input parameters on the interface;
step S206, selecting a target output parameter matched with the input parameter of the rear API from the output parameters in the parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API to realize parameter adaptation between the front API and the rear API.
Through the steps, the output parameters of the front-end APIs in the API programming are analyzed, and the obtained output parameters are put into a parameter pool and presented through an interface; analyzing input parameters of a rear API in the API programming, and presenting the input parameters on an interface; the method comprises the steps of selecting a target output parameter matched with an input parameter of a rear API from output parameters in a parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter matching between the front API and the rear API, solve the problem that parameter matching between APIs in a complex arrangement scene cannot be easily and simply used in the related art, and achieve the effect of improving parameter matching efficiency between APIs.
In one exemplary embodiment, generating the target output parameter based on the output parameter includes: and carrying out function processing on the output parameters by adopting a built-in library function in an interface mode to generate target output parameters.
In an exemplary embodiment, before the output parameters are functionally processed by adopting the built-in library function in an interfacing manner to generate the target output parameters, the method further comprises: and customizing function logic by an encoding mode to generate a new function, and storing the generated new function as a built-in library function.
In this embodiment, if the target output parameters obtained by the function processing of the built-in library function meet the parameter adaptation needs, the function processing of the self-defined function is not needed, that is, before the function processing is performed, whether the existing built-in library function can meet the final parameter adaptation needs can be judged, if yes, the self-defined function is not needed, and if not, the self-defined function is stored as a new built-in library function together with the original built-in library function, and functions are provided for parameter adaptation between the subsequent APIs, so that the number of the built-in library functions is continuously increased, the number of times of the self-defined function is reduced, and the efficiency of parameter adaptation is improved.
In one exemplary embodiment, mapping the target output parameters with the input parameters of the post API includes: and mapping and correlating the target output parameters with the input parameters of the rear API through a visualization operation.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
In this embodiment, a parameter adapting device is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 3 is a block diagram of a parameter adapting device according to an embodiment of the present invention, and as shown in fig. 3, the parameter adapting device 30 includes: the first parsing module 310 is configured to parse output parameters of the front-end API in the API layout, and place the obtained output parameters into a parameter pool and present the output parameters through an interface; the second parsing module 320 is configured to parse input parameters of the post-API in the API layout, and present the input parameters on the interface; the mapping adaptation module 330 is configured to select a target output parameter adapted to an input parameter of the post-API from the output parameters in the parameter pool, or generate the target output parameter based on the output parameter, and map and associate the target output parameter with the input parameter of the post-API, so as to implement parameter adaptation between the pre-API and the post-API.
In an exemplary embodiment, fig. 4 is a block diagram of a mapping adaptation module according to an embodiment of the present invention, and as shown in fig. 4, the mapping adaptation module 330 includes: the built-in function unit 410 is configured to perform a function processing on the output parameter by using a built-in library function in an interfacing manner to generate a target output parameter.
In an exemplary embodiment, fig. 5 is a block diagram of a mapping adaptation module according to an embodiment of the present invention, and as shown in fig. 5, the mapping adaptation module 330 includes, in addition to the units in fig. 4: the custom function unit 510 is configured to custom function logic in a coding manner to generate a new function, and store the generated new function as a built-in library function.
In an exemplary embodiment, fig. 6 is a block diagram of a mapping adaptation module according to an embodiment of the present invention, and as shown in fig. 6, the mapping adaptation module 330 includes, in addition to the units in fig. 5: the mapping unit 610 is configured to map and associate, through a visualization operation, the target output parameter with an input parameter of the post API.
It should be noted that each of the above modules and units may be implemented by software or hardware, and the latter may be implemented by, but not limited to: the modules and the units are all positioned in the same processor; alternatively, the above modules and units may be located in different processors in any combination.
Embodiments of the present invention also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be apparent to those skilled in the art that the modules, units, or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules, units, or steps in them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is described below with reference to specific scenario embodiments.
An API is a bridge for information interaction between software components, and is a way to provide applications and developers the ability to access a set of routines based on certain software or hardware, without having to access source code, or understand the details of the internal working mechanisms. Under the condition that the service demand is changed rapidly, the existing API cannot meet the existing use scene, the existing API is utilized for combination innovation to generate the API with new service capability, the method is an effective means for responding to the service demand change rapidly, and the concept of API arrangement is generated.
There are three types of parameter adaptation among APIs that are currently common:
1. additional hard code or scripts are written. This approach is non-intrusive to the original API, but has high requirements on the programming capabilities and business knowledge of the API orchestrator. In addition, considering complex orchestration scenarios such as non-adjacent parameter passing among multiple APIs, very complex API parameters, etc., API orchestrators will face greater technical challenges.
2. The manner in which the configuration information is written. And the API orchestrator does not need to write codes or scripts for parameter adaptation among the APIs, only writes configuration information, and the background program automatically generates parameter adaptation service according to the configuration information and is automatically executed when the APIs are called. The method does not need API (application program interface) orchestrators to write codes, but still needs to learn and master a set of orchestration configuration information specification, so that the learning cost is low, meanwhile, the orchestration information is in a pure text format, the readability is poor, and the error correction is not facilitated.
3. And (5) interfacing the dragging mode. The user directly selects proper parameters from the front API to perform association mapping with the rear API in a dragging mode, and the method is easy to operate, low in learning cost and more suitable for the orchestrator without a programming foundation. However, this approach has a great limitation, and can only deal with parameter adaptation in a simple programming scene, but cannot deal with complex adaptation scenes involving complex logic operations, parameter type conversion, and the like.
In summary, the existing scheme cannot provide a simple and easy-to-use parameter adaptation mode between APIs, which has low code development cost and meets the complex arrangement scene. Based on the technology, personnel capable of completing the API scheduling task in a complex scheduling scene in the traditional industry are necessarily cross-domain technicians who are familiar with platform micro-service capability and have certain industry expertise. However, in consideration of factors such as personnel cost, a large number of personnel do not exist in most traditional enterprises, and personnel for performing API arrangement are often common practitioners in the traditional industry, have industry expertise, but do not program, or only have a certain concept on programming.
The invention aims to provide a parameter adaptation scheme among APIs which is simple and easy to use, low in code development cost and capable of meeting complex arrangement scenes, solves the pain point problem of the traditional industry in the field of API arrangement, and assists the digital transformation of the traditional industry.
The invention provides a complete solution for adapting API parameters in a set of API programming by organically combining the following three modes:
1. parameters are mapped directly. Analyzing all the output parameters of the front-end capability interfaces and the subparameters thereof, putting the output parameters into a parameter pool as the available parameters in the device, and mapping the available parameters in the parameter pool with the input parameters of the rear-end API or the subparameters thereof in an interface mode (dragging, clicking and the like);
2. The built-in library functions are visualized. Processing and converting available parameters in the parameter pool by using a built-in library function in an interface mode, generating new available parameters, and putting the new available parameters into the parameter pool for use in a parameter direct mapping mode;
3. and customizing the function. The function logic is customized through an encoding mode, a new function is generated, the function is used as a library function to be stored in a lasting mode, and the function of the built-in library function is enhanced in an iteration mode;
the method or the device has the characteristics of simplicity, easiness in use, low code development cost, capability of meeting complex arrangement scenes, high efficiency, extremely strong expandability and the like.
Scene embodiment one
In this embodiment of the present invention, a parameter adapting device for implementing a parameter adapting method between APIs is provided, and fig. 7 is a structural block diagram of the parameter adapting device according to an embodiment of the present invention, as shown in fig. 7, where the parameter adapting device in this embodiment of the present invention may be divided into three module parts, including: parameter adapter, script converter and execution engine.
The parameter adapter is the core content of the invention, and comprises a parameter pool, a parameter mapping unit, namely a mapping unit in the embodiment, a built-in library function unit, namely a built-in function unit in the embodiment, and a custom function unit, namely a custom function unit in the embodiment.
The parameter pool is an abstract concept, and is introduced to better understand the data interaction between the following units, and the essence of the parameter pool is a set of available parameters in the parameter adapting device, wherein the available parameters comprise all the output parameters of the front-end API, the subparameters thereof and the parameters generated by the built-in library function unit. When the parameter adapting device operates, all the front-end API output parameters and the subparameters thereof are automatically analyzed, and the parameters are used as available parameters for parameter mapping by the parameter mapping unit and are put into a parameter pool.
And the parameter mapping unit is used for providing a visualized inter-API parameter direct mapping function. The user can map and associate the available parameters in the parameter pool with the input parameters of the rear API or the sub-parameters thereof in an interface mode.
And the built-in library function unit is used for providing a visualized library function processing mode. The user can call the built-in library function of the device in an interface mode to process the available parameters in the parameter pool, generate new available parameters, and place the new available parameters into the parameter pool, wherein the parameters have the format and the content expected by the user.
And the custom function unit is used for supplementing the built-in library function unit, when the function provided by the built-in library function cannot meet the parameter processing conversion requirement, the processing logic of the function is manually written by a user to generate a new function, and the new function is stored in the built-in library function unit, so that the iteration enhancement of the parameter adaptation capability of the device is realized, and meanwhile, the separation effect of software technicians and common API (application program interface) orchestrators is achieved.
The user can respond to parameter adaptation among APIs in various complex API programming scenes by organically combining the functions provided by the parameter mapping unit, the built-in library function unit and the custom function unit. All operations of the user can be completed on an interface provided by the device, and the device automatically generates corresponding parameter adaptation information (including information such as parameter mapping relation of a parameter mapping unit, used library functions and the like) among APIs according to an interface operation background of the user.
The script converter is used for converting the parameter adaptation information into an executable script of a specific language. When a new API generated by the API arrangement is called, the execution engine executes each API in series according to the execution sequence of each API, and calls the script generated by the script converter to realize the adaptation of the API parameters among the APIs.
Scene embodiment two
After introducing the parameter adaptation means in the scene embodiment one in the API orchestration, the process of API orchestration generally comprises: arranging an API call sequence, adapting parameters among APIs, converting parameter adapting scripts and testing and publishing APIs. In this embodiment of the present scenario, the parameter adapting device is used to perform parameter adaptation between APIs, and specifically, the process of parameter adaptation between APIs includes the following steps:
And step 1, analyzing the output parameters of the front-end API.
All the pre-API output parameters and the subparameters are analyzed into usable parameters and put into a parameter pool. On the interface, all the available parameters in the parameter pool are presented in a certain arrangement, and fig. 8 is a schematic diagram of a display mode of the available parameters according to an embodiment of the scene of the present invention, as shown in fig. 8, in this embodiment, the available parameters may be presented in a tree structure, and this step is automatically completed by the device.
And 2, directly mapping parameters.
In this embodiment, the parameter adapting device automatically parses the input parameters of the post API, and presents them on the interface in a manner with strong user readability, and in this embodiment, may present them in a tree-like structure. The user maps and associates available parameters in the parameter pool with the input parameters of the rear-end API in a visual operation mode, such as dragging, clicking, connecting line and the like, and fig. 9 is a schematic diagram of a parameter mapping relationship according to an embodiment of the scene of the present invention. Fig. 10 is a schematic diagram of an interface display of parameter mapping according to an embodiment of the present invention, as shown in fig. 10, a user may drag an API 1-output parameter and a subparameter a from a left parameter pool to a parameter processing area, and then directly connect the API 1-output parameter and the subparameter a with a subparameter H1 and a subparameter H2 of a rear API input parameter respectively by a connection manner, so as to complete parameter mapping.
And 3, visualizing the built-in library function.
When the parameter between APIs cannot be simply matched in a parameter direct mapping mode, a user can use a visualized built-in library function to perform function processing on the existing available parameters in the parameter pool, generate new available parameters expected by the user, put the new available parameters back into the parameter pool, and then repeat the step 2 to perform parameter mapping. Fig. 11 is a schematic diagram of built-in function conversion according to an embodiment of the present invention, as shown in fig. 11, the subparameter 1 and subparameter 2 of the front API are converted by the built-in function, that is, the parameters are processed by using the visualized built-in library function to obtain the parameter 2, and the parameter 2 is used as an available parameter and then mapped with the subparameter 7 of the rear API.
Fig. 12 is a schematic diagram showing an interface display of built-in function processing according to an embodiment of the present invention, as shown in fig. 12, a user drags a subparameter B of a front API from the left side to a parameter processing area, then drags a built-in function 1 from the top to the parameter processing area, connects the subparameter B to the built-in function 1, and connects the built-in function 1 to a subparameter J of a rear API input parameter, that is, a subparameter B generates a new parameter after being processed by the built-in function 1 and then performs mapping association with the subparameter J of the rear API input parameter, and the subparameter D is the same.
And 4, customizing the function.
The built-in library function module of the parameter adapting device can provide built-in library functions meeting common scenes, but cannot avoid the existence of inapplicable scenes, so the parameter adapting device in this embodiment additionally provides the capability of custom functions as a supplement to the built-in library functions. The user may specify the type of function input and return values in an interface-wise manner and then write the execution logic of the function in an encoded manner. The generated function is stored in a built-in library function unit and used as a built-in library function. And (3) repeating the step 3. Fig. 13 is a schematic diagram of custom function conversion according to an embodiment of the present invention, as shown in fig. 13, the subparameter 1 and subparameter 2 of the front-end API are converted by the custom function, that is, the parameters are processed by using the visualized built-in library function to obtain the parameter 2, and the parameter 2 is used as an available parameter and then mapped with the subparameter 7 of the rear-end API.
FIG. 14 is a schematic diagram of a custom function editing interface display according to an embodiment of the present invention, as shown in FIG. 14, where a user may click on a custom function to appear a function custom function interface; the user defines an input parameter data structure for the function by selecting a parameter from a parameter pool; specifying an output data structure; the function logic is implemented by encoding.
FIG. 15 is a schematic diagram of a custom function processing interface display according to an embodiment of the present invention, as shown in FIG. 15, after a user edits a custom function, the function appears in a built-in library function area; optionally, the parameter processing area automatically generates a connection relation between the subparameter F and the subparameter G and the comparison function; the user may also manually drag other available parameters to connect to the comparison function.
FIG. 16 is a schematic diagram of a customized function mapping interface display according to an embodiment of the present invention, where a user may connect a comparison function to a parameter L to complete a mapping connection, as shown in FIG. 16.
And 5, repeatedly executing the steps 2, 3 and 4 according to the parameter adaptation target of the user, and completing the adaptation of complex parameters among APIs.
FIG. 17 is a schematic diagram of a parameter mapping relationship according to an embodiment of the present invention, where a user may perform a function on parameters using a built-in library function and a custom function in combination, and then perform parameter mapping, as shown in FIG. 17.
FIG. 18 is a schematic diagram showing the interface display of the function processing according to the scene embodiment of the present invention, as shown in FIG. 18, the API 1-output parameter and the API 2-output parameter are processed by the custom function 1, then processed by the built-in function 2, then processed by the custom function 2 together with the subparameter A, and finally mapped and associated with the subparameter L of the rear API input parameter.
Through the steps, parameter adaptation among APIs in a complex programming scene can be completed, programming technicians write custom functions suitable for the current API programming scene, and the visualized built-in library functions are enriched, so that the parameter adaptation capacity of the device is enhanced iteratively, accumulation of the adaptation capacity is possible, and dependence on the programming technicians is reduced gradually.
Scene embodiment III
Specific application scenarios are given in the embodiment of the present scenario, and the technical scheme of the present invention is explained. A communication/network operator system wishes to utilize existing APIs to automatically and quickly recommend new functionality for a customer to rent packages on the fly via an API orchestration platform, with logic to recommend packages within the monthly rental window based on the lowest and highest consumption of the customer for the last year.
Existing APIs are:
API-001 queries the user about the last year of monthly consumption, and the input and output parameters are described as follows:
the package meeting the monthly lease tariff range in the API-002 query system is also included, and the input and output are described as follows:
the parameter adaptation device is used for carrying out parameter adaptation among APIs by the API programming platform, so that the function of automatically recommending monthly renting packages to users on line is realized, and the realization steps are as follows:
Step 1, arranging an execution sequence of an API-001 (inquiring about the last year monthly consumption condition of a user) and an API-002 (inquiring about packages of a month renting tariff range in a system) in an API arranging platform: API-001 is connected to API-002. Fig. 19 is a flowchart of automatically recommending a monthly rental package, in accordance with an embodiment of the inventive arrangements.
And 2, because the parameters of the API-001 and the API-002 are not matched, the parameters cannot be normally transmitted, and the device of the invention is used for realizing the parameter adaptation of the API-001 and the API-002. The specific process is as follows:
2.1 the parameter adapting device automatically analyzes the output parameters and subparameters of the front-end API (API-001) to a parameter pool, and the following available parameters exist after the analysis: statistics of consumption situation in the last year (type: object array), user information (type: object), user grade (type: number), network age (type: number), age (type: number);
2.2, using the array conversion function of the built-in library function unit to process available parameters, namely the statistics of consumption conditions in the last year, in an interface mode to obtain new parameters, namely monthly consumption (type: digital array);
2.3, using a minimum function and a maximum function of the built-in library function unit to obtain the lowest consumption and the highest consumption parameters for monthly consumption in an interfacial manner, wherein the types are numbers;
2.4 Using the parameter mapping unit, the lowest consumption map is associated in an interface manner with the subparameter of the input parameters of API-002, i.e., the lowest monthly lease, and the highest consumption map is associated with the subparameter of the input parameters of API-002, i.e., the highest monthly lease.
Step 3, the script converter converts the parameter adapting operation information of the user in the previous step into an executable script;
step 4, the API arranging platform is on line with the new API;
and 5, automatically recommending the lunar lease package API to the user and providing services to the outside. When the API is called, the internal execution engine calls the executable script in the step 3, so that parameter adaptation of the interfaces of the API-001 and the API-002 is realized, and normal transfer of parameters in the calling process from the API-001 to the API-002 is ensured, so that the function of the API is normal.
The steps 3, 4, 5 can be implemented by conventional techniques in the art, and will not be described here. Fig. 20 is a schematic diagram of interface parameter adaptation according to an embodiment of the present invention, in this embodiment of the present invention, by using a parameter mapping and a built-in library function manipulation manner in combination, visual adaptation of parameters between APIs is implemented in an API orchestration scene, and a new API is quickly brought on line through an API orchestration platform.
Scene example four
In the third embodiment of the scenario, the API orchestration platform automatically recommends the API of the monthly package to the user, and recommends the monthly package to the user only according to the lowest consumption and the highest consumption of the user in the last year. In this scenario embodiment, the API is logically optimized, where the optimization content is as follows: the new API for recommending the monthly packages for the users can recommend the monthly packages according to the grade, the network age, the age and other information of the users and the consumption condition.
In order to realize the optimization, the parameter adaptation device provided by the invention is only required to be used in an API orchestration platform to reform the parameter adaptation of the API-002 (inquiring the monthly consumption condition of the user in the last year) and the API-002 (inquiring the package of the monthly lease tariff range in the system), and the steps are as follows:
step 1, a company inner coding technician is responsible for writing two custom functions in a custom function unit of the device: the lowest consumption analysis function and the highest consumption analysis function are stored in a built-in library function unit.
Fig. 21 is a schematic diagram of the lowest consumption analysis function editing according to the embodiment of the present invention, and fig. 22 is a schematic diagram of the highest consumption analysis function editing according to the embodiment of the present invention.
Step 2, an API (application program interface) orchestrator in the company is responsible for transforming the parameter adaptation through the interface operation provided by the parameter adaptation device, and the operation process is as follows:
2.1, using a parameter mapping unit of the parameter adapting device, connecting monthly consumption and user information to a self-defined lowest consumption analysis function and a self-defined highest consumption analysis function by an API orchestrator, and respectively processing to obtain the lowest consumption and the highest consumption parameters, wherein the types of the lowest consumption and the highest consumption parameters are numbers;
2.2 Using the parameter mapping unit of the inventive apparatus, the lowest consumption map is associated in an interfacial manner to the subparameter least monthly lease of the input parameters of API-002, and the highest consumption map is associated to the subparameter most monthly lease of the input parameters of the rear API (API-002).
In this scenario embodiment, the existing parameter adaptation result of the parameter adaptation device in the scenario embodiment three is modified, and the pre-operation process is referred to the scenario embodiment three, which is not described herein again. And the follow-up steps are the same as the steps 3, 4 and 5 in the third embodiment of the scene, and the new user recommends online use of the lunar lease package API function.
FIG. 23 is a schematic diagram of a parameter adaptation interface according to an embodiment of the present invention, as shown in FIG. 23, a lowest consumption analysis function and a highest consumption analysis function written by a software technician may be persisted into the present device, enrich the built-in library functions of the present device, and may be used in other API orchestration scenarios.
The embodiment of the scene shows that parameters among heterogeneous APIs in the API layout are adapted in a mode of combining the direct mapping of the using parameters, the visual built-in library functions and the custom functions; the parameter adaptation device provided by the invention has the capability of iterative enhancement of the adaptation capability brought by the custom function unit, so that the coding technician and the API orchestrator can be separated, the dependence on the coding technician is gradually reduced, and finally, the adaptation of parameters among APIs under the zero code realization API orchestration is achieved.
Scene embodiment five
The application scene provided by the scene embodiment is: in a certain company assessment system, an API for automatically carrying out monthly assessment on staff needs to be provided, and internal logic is used for filling assessment grades according to multiple dimensions such as PTL scoring, project scoring, APO scoring, staff post grades and the like.
PTL scoring, item scoring and APO scoring information are known to be queried through the existing API-001 (query employee assessment information), and the input and output parameters of the API are described as follows:
the post level of a known employee can be queried through an API-002 (query employee's position information), and the input and output parameters are described as follows:
the setting of the assessment level of the known staff can be finished through an API-003 (setting the staff assessment level), and the input and output parameters are described as follows:
The parameter adaptation device provided by the invention is used for carrying out parameter adaptation among APIs by the API programming platform, so that the function of automatically carrying out the evaluation of the monthly test core for the staff on line is realized, and fig. 24 is a flow chart of the automatic evaluation of the monthly test core for the staff according to the scene embodiment of the invention, as shown in fig. 24, the realization steps are as follows:
step 1, arranging the execution sequence of the API-001, the API-002 and the API-003 in an API arranging platform: API-002 was connected to API-001, and API-001 was reconnected to API-003.
And 2, analyzing that parameter adaptation is not needed between the API-002 and the API-001, and parameter adaptation is needed between the API-001 and the API-003.
Step 3, using a parameter adapting device to adapt parameters between the API-001 and the API-003, wherein the specific control process is as follows:
3.1 the device automatically analyzes the output parameters and subparameters of the front-end APIs (API-001 and API-002) to a parameter pool, and the following available parameters exist after analysis: API-001 outputs parameters (type: object), employee ID (type: character string), employee name (type: character string), etc.;
3.2, mapping employee ID parameters in the parameter pool to employee ID parameters of a post API (API-003) through a parameter mapping unit;
3.3, compiling an assessment grade calculation function through a custom function unit, wherein the function is provided with code logic for calculating the assessment grade of the staff through four dimensions of the staff's post grade, PTL scoring, project scoring and APO scoring, and storing the code logic into a built-in library function unit;
3.4, selecting a self-defined assessment grade calculation function through a built-in library function unit, and processing the parameters of post grade, PTL scoring, APO scoring, project adding and the like in the parameter pool to obtain new parameters, namely the assessment grade;
3.5 mapping the assessment level parameters to the assessment level parameters of the post API (API-003) by a parameter mapping unit.
Step 4, the internal script converter converts the parameter adaptation operation information of the user in the previous step into an executable script;
step 5, the API arranging platform is on line with the new API, which is not the content of the invention;
and 6, automatically setting an API for the new employee assessment level to provide services to the outside. When the API is called, the internal execution engine calls the executable script in the step 4, parameter adaptation among the APIs is realized, and normal transfer of parameters in the calling process from the API-002 to the API-001 and then to the API-003 is ensured, so that the function of the API is normal.
FIG. 25 is a diagram of a custom assessment level computation function interface according to an embodiment of the present invention, and FIG. 26 is a diagram of a parameter mapping interface according to an embodiment of the present invention.
In this embodiment, a better practice method is provided, and when a software technician writes a custom function, the large function with complex logic should be split into small and simple functions, so as to improve the reusability of the custom function. FIG. 27 is a schematic diagram of an exemplary embodiment of an assessment level function splitting, as shown in FIG. 27, for splitting a single assessment level function into a plurality of functions as follows:
1. post score calculation function. The function calculates a post grade score based on the post information.
2. Personnel score the summary function. And carrying out weighted calculation on the PTL scoring and the APO scoring to obtain the scoring of the examiner.
3. Additional score calculation functions. And carrying out weight configuration on the item adding score to obtain an additional assessment score.
4. And (5) checking the grade mapping function. And mapping the assessment score to a corresponding assessment grade.
In the embodiment of the scene, the parameter adaptation between the adjacent and non-adjacent APIs is realized through a parameter adaptation device during the arrangement of the APIs; the parameter adaptation is realized by combining the parameter mapping and the custom function mode through the parameter adaptation device in the process of programming the API. And a best practice of the parameter adapting device is provided, namely, when the function is customized, a small and simple general function is written as much as possible, so that the function is convenient to be reused in other API programming processes.
Through the above embodiments, the present invention discloses a parameter adapting method between APIs and a parameter adapting device for implementing parameter adaptation between APIs. Through the parameter adaptation device, a user can perform parameter adaptation among APIs through direct parameter mapping, visualization of built-in library functions, custom functions and combined use of the three modes.
Parameter direct mapping mode description: all the front API output parameters and the rear API input parameters are presented on the interface, and the interface can be in a tree-shaped structure form for the convenience of the user to check. The user can map parameters among APIs through dragging, clicking, connecting lines or other interface operations to complete parameter adaptation;
visual built-in library function mode description: the interface provides a detailed built-in library function list, the list can contain the names, descriptions, input and output parameter detailed information, use help and other information of each built-in library function, after the user selects the built-in library function, the built-in library function is presented in an interface mode, and the user processes the existing parameters through modes of dragging, clicking, selecting and the like, and obtains new parameters. The parameters available include output (sub) parameters of the pre-API, parameters generated by other library functions, and parameters generated by custom functions.
Custom function mode description: after the user selects the custom function mode, zero or more available parameters can be selected as input parameters through an interface mode, and the data format of the output parameters is specified. The parameters available include output (sub) parameters of the pre-API, parameters generated by other library functions, and parameters generated by custom functions. Function processing logic is then written in the code editing area to ultimately generate new parameters. Meanwhile, the written function logic can be stored in a built-in function library, so that subsequent multiplexing is facilitated.
The visual function library can be continuously enriched by writing the custom function, along with the continuous improvement of the capability of the visual function library, the condition of writing the custom function is less and less, and finally, a general capability programming user can complete parameter adaptation between APIs completely through two visual modes (direct parameter mapping and visual built-in library function). Meanwhile, by continuously combining and nesting the built-in library functions and the custom function mode, sufficiently complex parameter conversion logic can be generated, so that complex capacity arrangement scenes can be dealt with.
The above description is one possible interface presentation form of the parameter adapting method and the parameter adapting device disclosed in the present invention, but not the only one, and other interface presentation forms including the type are also one of the protection implementation forms of the present invention. For example, through any interface form, parameter direct mapping and visual built-in library functions are combined to realize parameter adaptation among API programming APIs; for example, parameter direct mapping, a visual built-in library function and a custom function mode are combined to realize parameter adaptation among API programming APIs through any interface form; for example, through any interface form, the parameter adaptation between the API orchestration APIs is realized by combining a visual built-in library function and a custom function mode.
The parameter adaptation method and the parameter adaptation device provided by the invention are mainly used for arranging the parameter adaptation device among APIs by the APIs, and realizing the parameter adaptation among APIs by combining the parameter direct mapping, the visual built-in library function and the custom function described by the invention; the API programs an inter-API parameter adapting device, and the control process of iterative enhancement of the device capability is realized by writing a custom function to expand a built-in library function;
compared with a method for directly compiling parameter adaptation codes/scripts and compiling configuration information to realize input/output parameter adaptation among APIs, the method is mainly based on a visualized parameter adaptation mode, is simple and easy to use, has low code development cost, and can efficiently solve parameter adaptation under a complex arrangement scene; compared with the existing method which completely depends on the drag completion capability to arrange parameter adaptation. The complex service scene cannot be satisfied completely through a dragging mode, for example, parameter adaptation between interfaces depends on complex calculation or on the condition of special operation logic of the service, and the complex service scene is not a complete parameter adaptation solution, and has the limitation of arranging the service scene. The invention provides a low-code parameter adapting device between APIs, which meets the use requirement of complex arrangement scenes, is a complete solution capable of solving parameter adaptation between interfaces in complex capacity arrangement scenes, and has completeness of solving the problem; the parameter adapting device provided by the invention has an iteration enhancing mechanism: the function generated by the coding of the custom function unit in the device can be stored in the built-in library function unit in a lasting way, the processing capacity of the built-in library function unit is enhanced in an iteration mode, meanwhile, the mechanism achieves the effect that coding technicians are separated from common API (application program interface) orchestrators, and dependence on the coding technicians is reduced gradually. The parameter adapting device can be used in any situation that the industry needs to use parameter adaptation.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for adapting parameters between application programming interfaces APIs, comprising:
analyzing the output parameters of the front-end API in the API programming, and putting the obtained output parameters into a parameter pool and presenting the output parameters through an interface;
analyzing input parameters of a rear API in the API programming, and presenting the input parameters on an interface;
and selecting a target output parameter matched with the input parameter of the rear API from the output parameters in the parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter adaptation between the front API and the rear API.
2. The method of claim 1, wherein the generating the target output parameter based on the output parameter comprises:
And carrying out function processing on the output parameters by adopting a built-in library function in an interface mode to generate the target output parameters.
3. The method of claim 2, further comprising, prior to functionally processing the output parameters by interfacing with a built-in library function to generate the target output parameters:
and customizing function logic by an encoding mode to generate a new function, and storing the generated new function as a built-in library function.
4. The method of claim 1, wherein mapping the target output parameter to the input parameter of the post API comprises:
and mapping and correlating the target output parameters with the input parameters of the rear API through a visualization operation.
5. An application programming interface parameter adapting device, comprising:
the first analysis module is used for analyzing the output parameters of the front-end API in the API programming, and putting the obtained output parameters into a parameter pool and presenting the output parameters through an interface;
the second analysis module is used for analyzing the input parameters of the rear API in the API layout and presenting the input parameters on the interface;
and the mapping adaptation module is used for selecting a target output parameter which is adapted to the input parameter of the rear API from the output parameters in the parameter pool, or generating the target output parameter based on the output parameter, and mapping and associating the target output parameter with the input parameter of the rear API so as to realize parameter adaptation between the front API and the rear API.
6. The apparatus of claim 5, wherein the map adaptation module comprises:
and the built-in function unit is used for performing function processing on the output parameters by adopting a built-in library function in an interface mode so as to generate the target output parameters.
7. The apparatus of claim 5, wherein the map adaptation module further comprises:
and the custom function unit is used for customizing the function logic in a coding mode to generate a new function and storing the generated new function as a built-in library function.
8. The apparatus of claim 5, wherein the map adaptation module further comprises:
and the mapping unit is used for mapping and correlating the target output parameters with the input parameters of the post API through a visualization operation.
9. A computer readable storage medium, characterized in that a computer program is stored in the computer readable storage medium, wherein the computer program, when executed by a processor, implements the method of any of claims 1 to 4.
10. An electronic 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 method of any of claims 1 to 4 when executing the computer program.
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