1. A version recommendation method of an applet framework comprises the following steps:

acquiring version information of an applet frame used by an online applet;

calculating the coverage rate corresponding to each version in the small program frame versions used by the online small program based on the version information;

and determining a recommended version of the applet frame based on the coverage rate corresponding to each version.

2. The method of claim 1, wherein the obtaining version information of an applet framework used by an online applet comprises:

acquiring log information of the online small program;

and acquiring version information of an applet frame used by the applet based on the log information.

3. The method according to any one of claims 1-2, wherein the calculating, based on the version information, a coverage corresponding to each of the versions of the applet framework used by the on-line applet comprises:

counting the user coverage number of each small program in the online small programs to obtain first data;

counting the small programs corresponding to the small program frames of each version in the small program frame versions based on the version information to obtain second data;

calculating user coverage corresponding to each of the applet framework versions based on the first data and the second data.

4. The method of claim 3, wherein said determining a recommended version of the applet frame based on the coverage rate corresponding to said each version comprises:

comparing the user coverage rate corresponding to each version with a preset threshold value respectively;

and determining the small program frame version corresponding to the user coverage rate greater than the preset threshold value as the recommended version of the small program frame.

5. The method of any of claims 1-4, further comprising:

and issuing the recommended version to an applet developer tool through an applet developer platform.

6. An applet framework version recommendation apparatus comprising:

an acquisition module configured to acquire version information of an applet frame used by an online applet;

a calculation module configured to calculate, based on the version information, a coverage corresponding to each of the applet framework versions used by the online applet;

a determination module configured to determine a recommended version of the applet frame based on the coverage rate corresponding to each version.

7. The apparatus of claim 6, wherein the means for obtaining comprises:

a first obtaining sub-module configured to obtain log information of an applet that has been online;

a second obtaining sub-module configured to obtain version information of an applet frame used by the applet based on the log information.

8. The apparatus of any of claims 6-7, wherein the means for calculating comprises:

the first statistic submodule is configured to count the user coverage number of each small program in the online small programs to obtain first data;

a second counting submodule configured to count the applet corresponding to the applet frame of each of the applet frame versions based on the version information to obtain second data;

a calculation sub-module configured to calculate a user coverage corresponding to each of the applet framework versions based on the first data and the second data.

9. The apparatus of claim 8, wherein the means for determining comprises:

a comparison submodule configured to compare the user coverage rate corresponding to each version with a preset threshold respectively;

the determining submodule is configured to determine the small program frame version corresponding to the user coverage rate larger than the preset threshold as the recommended version of the small program frame.

10. The apparatus of any of claims 6-9, further comprising:

and the issuing module is configured to issue the recommended version to an applet developer tool through an applet developer platform.

11. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.

13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-5.

Background

The applet is an application which can be used without downloading and installing, realizes the dream of 'being reachable by a touch' of the application, and can be opened by scanning or searching by a user.

Developers need to use developer tools, which are development tools for applets, when developing applets, and can use the developer tools to develop, debug, and release applets. The developer tool provides an applet framework used in developing the applet, and with the continuous upgrading and continuous version iteration of the applet framework, the applet framework with multiple versions can be provided for the developer to use on line. Existing developer tools list all existing applet frame versions one by one to form a particularly large list for a developer to select, so that the developer is confused in selecting and does not know how to select a proper frame version.

Disclosure of Invention

The disclosure provides a method, a device, equipment and a storage medium for recommending an applet framework version.

According to a first aspect of the present disclosure, there is provided a version recommendation method for an applet framework, including: acquiring version information of an applet frame used by an online applet; calculating the coverage rate corresponding to each version in the small program frame versions used by the online small program based on the version information; and determining a recommended version of the applet frame based on the coverage rate corresponding to each version.

According to a second aspect of the present disclosure, there is provided a version recommending apparatus of an applet framework, including: an acquisition module configured to acquire version information of an applet frame used by an online applet; the calculation module is configured to calculate the coverage rate corresponding to each version in the small program frame versions used by the small programs which are online based on the version information; a determination module configured to determine a recommended version of the applet frame based on the coverage rate corresponding to each version.

According to a third aspect of the present disclosure, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described in any one of the implementations of the first aspect.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described in any one of the implementations of the first aspect.

According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method as described in any of the implementations of the first aspect.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is an exemplary system architecture diagram in which the present disclosure may be applied;

FIG. 2 is a flow diagram of one embodiment of a version recommendation method for an applet framework in accordance with the present disclosure;

FIG. 3 is a flow diagram of another embodiment of a version recommendation method for an applet framework in accordance with the present disclosure;

FIG. 4 is a flow diagram of yet another embodiment of a version recommendation method for an applet framework in accordance with the present disclosure;

FIG. 5 is a block diagram of one embodiment of a version recommender of an applet framework in accordance with the present disclosure;

fig. 6 is a block diagram of an electronic device for implementing a version recommendation method of an applet framework according to an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates an exemplary system architecture 100 to which an embodiment of a version recommendation method of an applet frame or a version recommendation apparatus of an applet frame of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

A user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or transmit information or the like. Various client applications may be installed on the terminal devices 101, 102, 103.

The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the above-described electronic apparatuses. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.

The server 105 may provide various services. For example, the server 105 may analyze and process version information of the applet frame acquired from the terminal apparatuses 101, 102, 103, and generate a processing result (e.g., a recommended version of the applet frame).

The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

It should be noted that the version recommendation method for the applet framework provided in the embodiment of the present disclosure is generally executed by the server 105, and accordingly, the version recommendation apparatus for the applet framework is generally disposed in the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow 200 of one embodiment of a version recommendation method of an applet framework in accordance with the present disclosure is shown. The version recommendation method of the applet framework comprises the following steps:

step 201, obtaining version information of an applet frame used by an online applet.

In the present embodiment, an execution subject (for example, the server 105 shown in fig. 1) of the applet frame version recommendation method may acquire version information of an applet frame used by an online applet.

It should be noted that the development flow of the applet generally includes: the method comprises the following steps that a developer carries out development and debugging work of an applet on a developer tool, after the development is completed, a developer platform carries out online on the developed applet package, and after the online, the applet package is distributed to a host APP (application, mobile phone software) through a package management service, so that the host APP runs the applet. The developer tool is a small program development tool provided by hundreds of degrees, and the developer is used for developing, debugging and releasing small programs; the developer platform is a small program management platform used by a developer and mainly responsible for logic processing of a developer tool server, and the logic processing comprises small program package uploading, small program package reviewing, small program package publishing online business and the like; the package management service is a service end service in a hundred degrees, and is mainly responsible for distributing the small program package, namely distributing the small program package to the host APP; the host APP is the APP running the applet.

In the present embodiment, an applet that has been brought online refers to an applet brought online by a developer platform. In addition, since the small program frame may have a plurality of versions, the developer can select the small program frame of the corresponding version for development according to the actual requirement. Therefore, in this embodiment, the executing entity first obtains the version information of the applet frame used by the online applet.

Step 202, based on the version information, calculating the coverage rate corresponding to each version in the applet framework versions used by the online applets.

In this embodiment, the executing agent may calculate, based on the version information obtained in step 201, a coverage rate corresponding to each version of the applet framework version used by the online applet.

Here, first, the execution subject may determine, based on the version information obtained in step 201, which versions of the applet frames are used by all online applets during development, and then calculate the coverage rate corresponding to each version of the applet frames in all the versions. Wherein the coverage rate may be a user coverage rate. In this embodiment, a ratio of the number of users corresponding to all the applets developed by using the applet frame of the version to the total number of users corresponding to all the online applets is referred to as a user coverage.

As an example, assuming that 3 online applets are currently online and are respectively an applet a, an applet B, and an applet C, the execution main body determines that the applet a uses a 1.0 version applet frame during development by acquiring version information of the 3 online applets, the applet B uses a 2.0 version applet frame during development, and the applet C also uses a 1.0 version applet frame during development, that is, the version of the applet frame used by the 3 online applets during development is: version 1.0 and version 2.0.

Then, the execution subject calculates the user coverage rate corresponding to the 1.0 version applet frame and the 2.0 version applet frame respectively. Assuming that the number of users using the applet a is 1600 ten thousand, the number of users using the applet B is 400 ten thousand, and the number of users using the applet C is 2000 ten thousand, it can be known that the total number of users of the online applet is 4000 ten thousand, the number of users covered by the applet frame of version 1.0 is 3600 ten thousand, and the number of users covered by the applet frame of version 2.0 is 400 ten thousand, so that the user coverage rate of the applet frame of version 1.0 is 3600/4000 ═ 100% to 90%, and the user coverage rate of the applet frame of version 2.0 is 400/4000 × 100% to 10%.

And step 203, determining a recommended version of the applet frame based on the coverage rate corresponding to each version.

In this embodiment, the execution subject may determine the recommended version of the applet frame based on the coverage rate corresponding to each version. For example, the execution subject determines the applet framework version with the highest coverage as the recommended version. For another example, the execution subject determines the applet framework version satisfying the preset coverage rate threshold as the recommended version, which is not specifically limited by the present disclosure.

As shown in step 202, it is calculated that the user coverage of the applet frame of version 1.0 is 90%, and the user coverage of the applet frame of version 2.0 is 10%, and the executing entity determines the version 1.0 with the higher coverage as the recommended version of the applet frame.

The method for recommending the version of the applet frame, provided by the embodiment of the disclosure, includes the steps of firstly obtaining version information of the applet frame used by an online applet; then based on the version information, calculating the coverage rate corresponding to each version in the small program frame versions used by the online small program; and finally, determining the recommended version of the applet framework based on the coverage rate corresponding to each version. The version recommendation method for the small program frame in the embodiment determines the final recommended version by calculating the coverage rate of the small program frame of each version, so that a developer does not need to select the version of the small program frame when developing the small program, the problems of online incompatibility of the small program and the like caused by improper version selection are avoided, and the use experience of the small program is improved.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, and do not violate the good customs of the public order.

With continued reference to FIG. 3, FIG. 3 illustrates a flow 300 of another embodiment of a version recommendation method of an applet framework in accordance with the present disclosure. The version recommendation method of the applet framework comprises the following steps:

step 301, obtaining version information of an applet frame used by an online applet.

Step 301 is substantially the same as step 201 in the foregoing embodiment, and the specific implementation manner may refer to the foregoing description of step 201, which is not described herein again.

Step 302, counting the user coverage number of each online small program to obtain first data.

In this embodiment, an execution subject (for example, the server 105 shown in fig. 1) of the version recommendation method for the applet framework may count the number of user overrides of each of the applets that have been online, thereby obtaining the first data. Wherein, the number of user coverage is the number of users using the applet. The method for counting the number of users using applets can be implemented by the prior art, and is not described herein again.

As an example, assume that the applet that is currently online is: the executive body is obtained by statistics of an applet 1, an applet 2, an applet 3 and an applet 4: the user coverage of the applet 1 is 30 ten thousand, the user coverage of the applet 2 is 30 ten thousand, the user coverage of the applet 3 is 240 ten thousand, and the user coverage of the applet 4 is 200 ten thousand.

Step 303, counting the applets corresponding to the applet frames of each version in the applet frame versions based on the version information to obtain second data.

In this embodiment, the execution subject may count the applet corresponding to the applet frame version of each of the applet frame versions based on the version information, so as to obtain the second data. That is, the execution subject may count the applet information of the applet frame using each of the applet frame versions.

Also for the example in step 302, suppose applet 1 uses version 1.2 of the applet framework during development, applet 2 uses version 2.0 of the applet framework during development, applet 3 uses version 2.1 of the applet framework during development, and applet 4 also uses version 2.1 of the applet framework during development. Then the versions of the applets used to statistically obtain the online 4 applets are: versions 1.2, 2.0 and 2.1, i.e. versions 1.2 of the applet framework correspond to applets: 1, small program; the applet corresponding to the applet framework version 2.0 is: small program 2; the applet corresponding to the applet framework version 2.1 is: applet 3 and applet 4.

It should be noted that, in this embodiment, the execution order of step 302 and step 303 is not specifically limited, that is, step 303 may be executed after step 302, before step 302, or simultaneously with step 302.

Step 304, calculating user coverage corresponding to each of the applet framework versions based on the first data and the second data.

In this embodiment, the executing body may calculate the user coverage rate corresponding to the applet frame of each version based on the first data obtained in step 302 and the second data obtained in step 303, that is, calculate a ratio of the user coverage number corresponding to the applet frame of each version to the total user coverage number corresponding to all online applets, so as to obtain the user coverage rate corresponding to the applet frame of each version.

As an example in step 303, the total number of user coverage corresponding to the on-line applet is: 30+30+240+200 equals 500; the user coverage rate corresponding to the applet framework version 1.0 is: 30/500 × 100% ═ 6%; the user coverage rate corresponding to the applet framework version 2.0 is: 30/500 × 100% ═ 6%; the user coverage rate corresponding to the applet framework version 2.1 is: 240+200/500 × 100% ═ 88%.

Step 305, comparing the user coverage rate corresponding to each version with a preset threshold value respectively.

In this embodiment, the executing entity may compare the user coverage rate corresponding to each version obtained in step 304 with a preset threshold respectively. The execution body can preset a coverage rate threshold, and the coverage rate threshold can be set according to actual conditions. For example, the coverage threshold may be set to 80%. The executing entity compares the user coverage rate corresponding to each version with 80%.

As an example in step 304, it can be known from the calculation result that the user coverage rate corresponding to the applet framework of version 1.0 is 6%; the user coverage rate corresponding to the applet framework version 2.0 is also 6%; the user coverage rate corresponding to the applet frame version 2.1 is 88%, and the execution main body compares the three user coverage rates with a preset threshold of 80%.

And step 306, determining the small program frame version corresponding to the user coverage rate greater than the preset threshold value as the recommended version of the small program frame.

In this embodiment, the executing entity may determine the recommended version of the applet frame based on the comparison result of step 305, specifically, determine the applet frame version corresponding to the user coverage greater than the preset threshold as the recommended version, that is, when the user coverage is greater than the preset threshold, the executing entity considers that the version is the current best version and determines the version as the recommended version.

As shown in step 305, if the user coverage rate corresponding to the applet frame of version 2.1 is greater than 80% based on the comparison result, the execution subject determines that version 2.1 is the recommended version of the applet frame.

As can be seen from fig. 3, compared with the embodiment corresponding to fig. 2, the method for recommending the version of the applet frame in this embodiment calculates the user coverage rate corresponding to the applet frame of each version based on the user coverage number of each online applet and the applet information corresponding to the applet frame of each version, so that the accuracy of the obtained user coverage rate is improved; in addition, the small program frame version corresponding to the user coverage rate larger than the preset threshold value is determined as the recommended version of the small program frame, so that the stability of the small program frame of the recommended version is guaranteed, the problem of online incompatibility of the small program is reduced, and the use experience of the small program is improved.

With continued reference to FIG. 4, FIG. 4 illustrates a flow 400 of yet another embodiment of a version recommendation method of an applet framework in accordance with the present disclosure. The version recommendation method of the applet framework comprises the following steps:

step 401, obtaining log information of the online applet.

In the present embodiment, an execution subject (for example, the server 105 shown in fig. 1) of the version recommendation method of the applet frame may acquire log information of the applet that has been brought online.

For example, an applet plug-in may be utilized to obtain log information for an online applet; the log information can be acquired through the small program background; of course, other ways may also be used to obtain log information of an online applet, which is not specifically limited by this disclosure.

The acquired log information includes information such as error information, system information, and device information generated during operation.

At step 402, version information of an applet frame used by the applet is obtained based on the log information.

In this embodiment, the execution subject may acquire version information of an applet frame used at the time of development of each applet from system information in log information of the applets that have come online acquired in step 401.

Step 403, counting the user coverage number of each applet in the online applets to obtain first data.

And step 404, counting the small programs corresponding to the small program frames of each version in the small program frame versions based on the version information to obtain second data.

Step 405, calculating a user coverage rate corresponding to each of the applet framework versions based on the first data and the second data.

Step 406, comparing the user coverage rate corresponding to each version with a preset threshold value respectively.

Step 407, determining the applet frame version corresponding to the user coverage rate greater than the preset threshold as the recommended version of the applet frame.

The steps 403-.

And step 408, issuing the recommended version to the applet developer tool through the applet developer platform.

In this embodiment, the recommended version may be issued to the applet developer tool through the applet developer platform. After the recommended version of the applet frame is determined in step 407, the execution main body synchronizes the related data to the applet developer platform, and then the recommended version is issued to the applet developer tool through the applet developer platform, so that when a developer uses the applet developer tool to develop, the developer can directly use the applet frame of the recommended version to develop without selecting the version of the applet frame, the step of selecting the version is omitted, and the development efficiency of the applet is improved.

As can be seen from fig. 4, compared with the embodiment corresponding to fig. 3, the version recommendation method for an applet frame in this embodiment obtains the version information of the applet frame through the log information of the online applet, so as to improve the obtaining efficiency of the version information; in addition, after the recommended version of the applet frame is determined, the recommended version is issued to the applet developer tool through the applet developer platform, so that the applet frame of the recommended version can be directly used for development when the developer uses the developer tool for development, the step of selecting the version is omitted, and the development efficiency of the applet is improved.

With further reference to fig. 5, as an implementation of the method shown in the above figures, the present disclosure provides an embodiment of a version recommendation apparatus of an applet framework, which corresponds to the embodiment of the method shown in fig. 2, and which is specifically applicable to various electronic devices.

As shown in fig. 5, the version recommending apparatus 500 of the applet framework of the present embodiment includes: an acquisition module 501, a calculation module 502 and a determination module 503. The obtaining module 501 is configured to obtain version information of an applet frame used by an online applet; a calculating module 502 configured to calculate a coverage corresponding to each of the applet framework versions used by the online applets based on the version information; a determining module 503 configured to determine a recommended version of the applet frame based on the coverage rate corresponding to each version.

In the present embodiment, in the version recommending apparatus 500 of the applet framework: the specific processing and the technical effects thereof of the obtaining module 501, the calculating module 502 and the determining module 503 can refer to the related descriptions of step 201 and step 203 in the corresponding embodiment of fig. 2, which are not repeated herein.

In some optional implementations of this embodiment, the obtaining module includes: a first obtaining sub-module configured to obtain log information of an applet that has been online; a second obtaining sub-module configured to obtain version information of an applet frame used by the applet based on the log information.

In some optional implementations of this embodiment, the calculation module includes: the first statistic submodule is configured to count the user coverage number of each small program in the online small programs to obtain first data; the second counting submodule is configured to count the small programs corresponding to the small program frames of each version in the small program frame versions based on the version information to obtain second data; a calculation sub-module configured to calculate a user coverage corresponding to each of the applet framework versions based on the first data and the second data.

In some optional implementations of this embodiment, the determining module includes: the comparison submodule is configured to compare the user coverage rate corresponding to each version with a preset threshold value respectively; the determining submodule is configured to determine the small program frame version corresponding to the user coverage rate larger than the preset threshold value as the recommended version of the small program frame.

In some optional implementation manners of this embodiment, the version recommending apparatus of the applet frame further includes: and the issuing module is configured to issue the recommended version to the applet developer tool through the applet developer platform.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the version recommendation method of the applet framework. For example, in some embodiments, the version recommendation method of the applet framework may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM603 and executed by the computing unit 601, one or more steps of the above described version recommendation method of the applet framework may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the version recommendation method of the applet framework by any other suitable means (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.