at this time, regardless of whether the calling party is the data interface of the old version or the data interface of the new version, the PrzeInfo has PrzeInfoContentV 1, that is, the PrzeInfoContentV 1 has a sub data interface corresponding to the data structure of the first-period scheme, and according to the first-period logic, the service end returns the PrzeInfoContentV 1! In this way, true is obtained by the hasPrize method, and the caller can call the method with the same name as the priveinfoContentV 1, that is, the data is analyzed by the interface implementation method PrizeinfoContentV1 corresponding to the priveinfoContentV 1, wherein the data return method queryPrizziids belongs to the method for returning the ticket id in the interface implementation method PrizeinfoContentV 1.

2. The ticket using logic of the server is second-phase logic

At this time, the server returns data:

prizeInfo.prizeInfoContentV1＝＝null

prizeInfo.prizeInfoContentV2！＝null

after the calling party carries out deserialization on the serialized data returned by the server side, the obtained result is as follows:

at this time, when the caller is an old version, the PrizeInfo only has prizelnfocontentv 1, and according to the second phase logic, the server returns prizelnfocontentv 1= = null, so that false is obtained by the hasgrind method, and then the data of the new version is directly ignored, that is, the caller does not sense the data of the new version at this time.

Accordingly, when the caller is a new version, przeInfo has PrzeInfoContentV 1 and PrzeInfoContentV 2, and according to the second logic, the service returns PrzeInfoContentV 1= = null and PrzeInfoContentV 2! In this way, the caller can call the method with the same name as the priveinfocontentv 2, that is, the data is analyzed by the interface implementation method priveinfocontentv 2 corresponding to the priveinfocontentv 2.

Therefore, if the caller is an old version and needs to perceive new data, it can be done by upgrading, for example, the data interface for the first stage logic to the data interface for the second stage logic, so that the coupon information of the second stage logic can be processed.

3. The ticket information of the server is null

At this time, the server returns data:

prizeInfo.prizeInfoContentV1＝＝null

prizeInfo.prizeInfoContentV2＝＝null

by the way of illustration of the above situation, it can be seen that, even if the caller does not update after the server issues the new version, serialization exception is not caused, and only the new version of the ticket information data cannot be perceived, but for the caller who does not perceive the new version of the ticket information data, the caller does not need to update, and the problem of serialization cannot occur in function.

It should be noted that, when data is transmitted between the server and the caller, the data is usually serialized and transmitted, and then the receiver performs deserialization, for example, the serialization and deserialization adopt JSON format.

Based on the same inventive concept, the embodiment of the present specification further provides a data interface expansion apparatus corresponding to the foregoing data interface expansion method, an electronic device for expanding a data interface, and a non-volatile computer storage medium.

In view of the foregoing detailed description of the data interface extension method in the foregoing embodiment, corresponding contents related to the apparatus, the device, and the nonvolatile computer storage medium in this embodiment will not be described again.

Example 2

As shown in fig. 8, wherein the dashed square represents an optional module, the datainterface extension apparatus 10 includes an obtainingmodule 11, an extractingmodule 12, an aggregatingmodule 13, and atraversing module 14.

In this implementation, the obtainingmodule 11 is configured to obtain, when a newly added data structure exists, an interface implementation method corresponding to the data structure; the extractingmodule 12 is configured to extract a first attribute parameter of the interface implementation method, where the first attribute parameter is used to characterize a data structure corresponding to data resolvable by the interface implementation method; theaggregation module 13 is configured to aggregate the first attribute parameter into the traversal module, so as to expand a sub data interface corresponding to the data structure in the data interface; thetraversal module 14 is configured to determine, according to a second attribute parameter, a sub data interface corresponding to the second attribute parameter; the second attribute parameter is used for representing a data structure corresponding to data returned by a server, and the subdata interface is used for analyzing the data returned by the server through an interface implementation method corresponding to the subdata interface.

Optionally, the aggregatingmodule 13 is configured to aggregate the first attribute parameter into a traversal condition in thetraversal module 14.

Optionally, the data interface extension apparatus further includes aninterface matching module 15. Thetraversal module 14 is configured to determine, according to the second attribute parameter, whether a first attribute parameter matching the second attribute parameter exists in the traversal condition, and if yes, invoke theinterface matching module 15; theinterface matching module 15 is configured to determine, according to the matched first attribute parameter, a sub data interface corresponding to the matched first attribute parameter as a sub data interface corresponding to the second attribute parameter.

Optionally, the data interface expansion apparatus further includes apackaging module 16 and apublishing module 17. Thepacking module 16 is configured to pack a data interface including the sub data interface; theissuing module 17 is configured to issue the packed data interface.

Optionally, the data structure comprises at least one of a list data structure, a dictionary data structure, and a collection data structure.

Based on the same inventive concept, the electronic device for extending a data interface provided in the embodiments of the present specification includes:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

Based on the same idea, embodiments of the present specification provide a non-volatile computer storage medium corresponding to the data interface extension method, and store computer-executable instructions, where the computer-executable instructions are configured to:

Example 3

Based on the same inventive concept, embodiments of the present specification provide a data processing method, where the data interface extended in embodiment 1 is used as a terminal device on a calling party side, so that the calling party can analyze data returned by a server through the data interface by using the terminal device. In view of the detailed description of the data interface extension method in embodiment 1, details are not described here.

The terminal device used by the caller may be a server, a computer, a mobile intelligent device, or the like.

Specifically, as shown in fig. 9, the data processing method includes:

step S202, receiving data returned by a server and second attribute parameters corresponding to the data returned by the server, wherein the second attribute parameters are used for representing a data structure corresponding to the data returned by the server.

Each piece of data in the server is stored according to the corresponding data structure, and the corresponding second attribute parameter is recorded for each data structure, so that when the server returns the data to the calling party, the second attribute parameter is not null.

Step S204, determining a sub data interface corresponding to the second attribute parameter from data interfaces, where the data interfaces are data interfaces extended by the data interface extension method in any one of the foregoing embodiments 1.

It should be noted that, in the terminal device used by the caller, the data interface in step S204 may be a new version data interface that is upgraded with a new version released by the server, or an old version data interface that is not upgraded with a new version released by the server. In addition, after the server side releases the data interface of the new version, whether the calling party needs to be upgraded or not can be judged according to whether the calling party needs to sense whether the server side sends the data of the new data structure or not, and if sensing is not needed, upgrading can be omitted.

And step S206, analyzing the data returned by the server by using the subdata interface.

Example 4

Based on the same inventive concept, in the embodiment of the present specification, a data processing apparatus is provided, as shown in fig. 10, thedata query apparatus 20 includes a receivingmodule 21, a determiningmodule 22, and aparsing module 23. The receivingmodule 21 is configured to receive data returned by a server and a second attribute parameter corresponding to the data returned by the server, where the second attribute parameter is used to represent a data structure corresponding to the data returned by the server; the determiningmodule 22 is configured to determine a sub data interface corresponding to the second attribute parameter from data interfaces, where the data interfaces are data interfaces extended by the data interface extending apparatus in any embodiment 2; theparsing module 23 parses the data returned by the server by using the sub data interface.

Based on the same inventive concept, an embodiment of this specification provides an electronic device for data processing, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

determining a sub data interface corresponding to the second attribute parameter from a data interface, where the data interface is an extended data interface extended by the data interface extension method in any embodiment 1;

and analyzing the data returned by the server by using the subdata interface.

Based on the same idea, embodiments of the present specification provide a non-volatile computer storage medium corresponding to the data processing method, and store computer-executable instructions configured to:

and analyzing the data returned by the server by using the subdata interface.

The foregoing description of specific embodiments has been presented for purposes of illustration and description. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.

In the various embodiments of the present disclosure, it should be understood by those skilled in the art that the terms "first" and "second" are not used in a limiting sense, but are used for convenience of distinction and to prevent confusion of concepts.

The apparatus, the device, the nonvolatile computer storage medium, and the method provided in the embodiments of the present specification correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have advantageous technical effects similar to those of the corresponding method.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD) (e.g., a Field Programmable Gate Array (FPGA)) is an integrated circuit whose Logic functions are determined by a user programming the Device. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be regarded as a hardware component and the means for performing the various functions included therein may also be regarded as structures within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, apparatuses, modules or units described in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, respectively. Of course, the functionality of the various elements may be implemented in the same one or more pieces of software and/or hardware in the practice of the present application.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A data interface extension method includes:

the traversal method is used for determining a sub data interface corresponding to a second attribute parameter according to a first attribute parameter which is matched with the second attribute parameter and exists in the traversal method, the second attribute parameter is used for representing a data structure corresponding to data returned by a server, the sub data interface is the sub data interface corresponding to the matched first attribute parameter, and the sub data interface is used for analyzing the data returned by the server through an interface implementation method corresponding to the sub data interface.

2. The data interface extension method of claim 1, aggregating the first attribute parameter into a traversal method of the data interface, comprising: and aggregating the first attribute parameters into the traversal conditions of the traversal method.

3. The data interface extension method of claim 2, wherein determining the sub data interface corresponding to the second attribute parameter according to the second attribute parameter comprises:

and determining whether a first attribute parameter matched with the second attribute parameter exists in the traversal condition or not according to the second attribute parameter, and if so, determining a sub data interface corresponding to the matched first attribute parameter as the sub data interface corresponding to the second attribute parameter according to the matched first attribute parameter.

4. The data interface extension method of claim 1, further comprising:

packing the data interface comprising the subdata interface;

and issuing the packed data interface.

5. The data interface extension method of claim 1, the data structure comprising at least one of an array, a list data structure, a dictionary data structure, and a collection data structure.

6. A method of data processing, comprising:

determining a sub data interface corresponding to the second attribute parameter from a data interface, wherein the data interface is extended by the data interface extension method of any one of claims 1 to 5;

and analyzing the data returned by the server by using the subdata interface.

7. A data interface extension device comprises an acquisition module, an extraction module, an aggregation module and a traversal module;

the acquisition module is used for acquiring an interface implementation method corresponding to a data structure when the newly added data structure exists;

the traversal module is used for determining a subdata interface corresponding to a second attribute parameter according to a first attribute parameter which is matched with the second attribute parameter and exists in the traversal method;

the second attribute parameter is used for representing a data structure corresponding to data returned by a server, the subdata interface is a subdata interface corresponding to the matched first attribute parameter, and the subdata interface is used for analyzing the data returned by the server through an interface implementation method corresponding to the subdata interface.

8. The data interface extension device of claim 7, the aggregation module to aggregate the first attribute parameter as a traversal condition in the traversal module.

9. The data interface extension device of claim 8, further comprising an interface matching module;

the traversal module is used for determining whether a first attribute parameter matched with the second attribute parameter exists in the traversal condition or not according to the second attribute parameter, and if so, the interface matching module is called;

the interface matching module is used for determining the subdata interface corresponding to the matched first attribute parameter as the subdata interface corresponding to the second attribute parameter according to the matched first attribute parameter.

10. The data interface extension device of claim 7, further comprising a packaging module and a publishing module;

the packing module is used for packing the data interface comprising the subdata interface;

and the issuing module is used for issuing the packed data interface.

11. The data interface extension device of claim 7, the data structure comprising at least one of a list data structure, a dictionary data structure, and a collection data structure.

12. A data processing device comprises a receiving module, a determining module and an analyzing module;

the determining module is configured to determine a sub data interface corresponding to the second attribute parameter from a data interface, where the data interface is an extended data interface extended by the data interface extension apparatus according to any one of claims 7 to 11;

13. An electronic device for extending a data interface, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the traversal method is used for determining a sub data interface corresponding to a second attribute parameter according to a first attribute parameter which is matched with the second attribute parameter and exists in the traversal method, the second attribute parameter is used for representing a data structure corresponding to data returned by a server, the sub data interface is a sub data interface corresponding to the matched first attribute parameter, and the sub data interface is used for analyzing the data returned by the server through an interface implementation method corresponding to the sub data interface.

14. An electronic device for data processing, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

and analyzing the data returned by the server by using the subdata interface.