CN114218313A - Data management method, device, electronic equipment, storage medium and product - Google Patents
Data management method, device, electronic equipment, storage medium and product Download PDFInfo
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- CN114218313A CN114218313A CN202111520859.1A CN202111520859A CN114218313A CN 114218313 A CN114218313 A CN 114218313A CN 202111520859 A CN202111520859 A CN 202111520859A CN 114218313 A CN114218313 A CN 114218313A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44521—Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
Abstract
The disclosure provides a data management method, a data management device, an electronic device, a storage medium and a product. Relate to data processing technology field, especially relate to applet data processing technology field. The specific implementation scheme is as follows: acquiring capability asset data of the applet; automatically analyzing the capability asset data to obtain target data, and automatically storing the target data; in response to receiving a data request, target data corresponding to the data request is provided. By the method and the device, no difference between target data can be ensured under the condition that data required by an application side is met.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for data management, an electronic device, a storage medium, and a product.
Background
Since applets are available without downloading, users who use applets are increasing, and thus, the requirements for developing applets are also increasing.
Developers need to develop applets using the capabilities provided by the applet framework, which may also be referred to as applet capabilities. The types of applet capabilities include numerous and the sources of information for the same applet capability are numerous.
Disclosure of Invention
The disclosure provides a data management method, a data management device, an electronic device, a storage medium and a product.
According to a first aspect of the present disclosure, there is provided an applet data management method applied to a data source, the method including:
acquiring capability asset data of the applet; automatically analyzing the capability asset data to obtain target data, and automatically storing the target data; in response to receiving a data request, target data corresponding to the data request is provided.
According to a second aspect of the present disclosure, there is provided an applet data management method applied to an asset database, the method comprising:
the acquisition module is used for acquiring the capability asset data of the applet; the storage module is used for automatically analyzing the capability asset data to obtain target data and automatically storing the target data; and the processing module is used for responding to the received data request and providing target data corresponding to the data request.
According to a third aspect of the present disclosure, there is provided an applet data management method applied to an application side, the method including:
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 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 the computer to perform the method according to the first aspect.
According to a fifth aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method according to 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 a schematic flow chart illustrating a data management method provided by an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating a data management method provided by an embodiment of the present disclosure;
fig. 3 is a flowchart illustrating a data management method provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram illustrating generation of applet capability asset data in a data management method provided by an embodiment of the disclosure;
FIG. 5 is a schematic diagram illustrating consumption capability asset data in a data management method provided by an embodiment of the present disclosure;
FIG. 6 is a diagram illustrating a data management method provided by an embodiment of the present disclosure;
FIG. 7 is a schematic diagram illustrating a data management structure provided by an embodiment of the present disclosure;
FIG. 8 is a block diagram of an electronic device for implementing a method of data management of 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.
Since applets are available without downloading, users who use applets are increasing, and thus, the requirements for developing applets are also increasing. Developers need to develop applets through the capabilities provided by the applet framework, which may also be referred to as applet capabilities. Applet capabilities include categories of Application Programming Interfaces (APIs), components, frameworks, and the like. The applet capabilities are numerous and the applet asset data for the same applet capability is numerous in origin.
In the related art, an application side depends on the applet capability asset data, and information sources of the same applet capability are numerous. Therefore, without a method or system for uniformly managing the applet capability asset data, it is easy to cause difficulty in acquiring the number of applet capability assets, a difference in the number of applet capability assets among multiple applications, low efficiency in acquiring the number of applet capability assets, difficulty in ecological co-construction of applets, and the like.
Based on the technical defects, the data management method is provided. By the small program asset management method provided by the disclosure, the small program asset data generated by a plurality of small program asset data sources can be managed in a unified format, and the small program asset data in the unified format is provided for an application party. Therefore, the consumption demands of all application parties on the capability assets of the small programs are met, the asset data acquisition efficiency is improved, and ecological co-construction of the small programs is facilitated.
The following embodiments will explain a data management method provided by the present disclosure with reference to the accompanying drawings.
Fig. 1 shows a flowchart of a data management method provided by an embodiment of the present disclosure, and as shown in fig. 1, the following steps may be included.
In step S110: capability asset data of the applet is obtained.
In the embodiment of the present disclosure, the Data source generating the capability asset Data of the applet may be one or more of a front-end Interactive Data Language (IDL) file, a client IDL file, a server IDL file, and the like.
It should be noted that each function that an applet can implement may have multiple capability asset data, and the multiple capability asset data may come from different data sources.
In step S120: and automatically analyzing the capability asset data to obtain target data, and automatically storing the target data.
In the embodiment of the disclosure, after the data source generates the capability asset data, the generated capability asset data is automatically analyzed through the analyzer, and the target data with a uniform format is obtained. The target data includes information that can be generated in the data source about the corresponding function that the applet implements.
In the embodiment of the disclosure, after the data source obtains the target data, the target data is automatically stored in the asset database through the storage interface.
In step S130: in response to receiving the data request, target data corresponding to the data request is provided.
In the disclosed embodiment, the application party can obtain the required target data based on the asset database. And if the data request of the application party is received, determining the target data requested to be acquired in the data request, and providing the target data corresponding to the data request to the application party.
By the data management method provided by the embodiment of the disclosure, the target data with uniform format is obtained by analyzing the capacity asset data generated by different data sources, so that the difference between the capacity asset data generated by different data sources is avoided. And target data is stored in the same asset database, so that the loss or error of the capability asset can be avoided.
In the present disclosure, parsing and storing of capacity asset data are both automatically performed operations. As shown in fig. 2. Fig. 2 shows a flowchart of a data management method provided by an embodiment of the present disclosure, and as shown in fig. 2, the following steps may be included.
In step S210: and automatically analyzing the capability asset data based on the analyzer to obtain at least one target data.
In the embodiment of the disclosure, after the capability asset data is obtained, the capability asset data is automatically analyzed to obtain at least one target data. Wherein the format of at least one target data is uniform.
In step S220: at least one target data is stored in an asset database.
In an embodiment of the present disclosure, the at least one target data after parsing is stored in an asset database.
In the disclosed embodiment, the resolvers that parse the energy asset data may be the same or different. In the present disclosure, the asset database contains parsers, and different data sources may also contain parsers that match themselves.
In an exemplary embodiment of the present disclosure, the capability asset data may be parsed based on a generic parser contained in an asset database to obtain at least one target data.
In another exemplary embodiment of the present disclosure, if the capability asset data includes special information or requires a designated parser, the capability asset data may be further parsed based on the parser or the designated parser included in the data source itself to obtain at least one target data.
In the present disclosure, the target data includes identification information, and the identification information is used to characterize a function that can be implemented by an applet corresponding to the target data. Wherein the identification information included in each target data is unique. That is, for the functions that can be realized by the same applet, the target data obtained by analyzing different data sources have unique and same identification information.
In the embodiment of the present disclosure, the target data further includes, in addition to the identification information, one or more information of a name, a version number, a classification, an operating environment, a system, a host name, parameter/attribute information, product information, open source information, test result information, and the like of the target data corresponding to the capability that the applet can implement.
In at least one target data obtained by parsing the capability asset data, other data information of each target data is different except that the identification information is the same, and the other data of each target data can be complementary.
By storing the obtained target data into the same asset database, the information of the same capability can be more comprehensive, and the appeal of using the capability asset data by a subsequent application party can be better met.
In the embodiment of the disclosure, after the capability asset data is automatically analyzed to obtain at least one target data, the at least one target data is automatically stored in the asset database through the storage interface. The storage interfaces used for storing at least one target data may be the same or different.
In an exemplary embodiment of the present disclosure, in response to the storage interface of the asset database satisfying the requirement, the target data may be automatically stored in the asset database through the storage interface of the asset database. It should be noted that the storage interface of the asset database is a general storage interface.
In another exemplary embodiment of the present disclosure, in response to a storage interface of the asset database failing to meet a requirement, the resulting target data may be automatically stored into the asset database through a storage interface corresponding to a data source that generated the capability asset data.
In the present disclosure, the application side may obtain the required target data in the asset database through the obtaining interface. In the present disclosure, the application party may be an open source distribution policy, a developer document, an IDE hint tool, or the like. After the application party obtains the target data, the target data can be used for designing, developing, testing and on-line capability asset data.
The acquisition interfaces may be the same or different. The application side can determine the used acquisition interface according to the required target data. For example, if there is special data in the target data required by the application party, the required target data may be acquired by using the acquisition interface corresponding to the application party. If the target data acquired by the application side can use the same interface provided by the asset database (i.e. an acquisition interface common to a plurality of application sides), the application side acquires the required target data by using the common acquisition interface.
In the method and the system, each application side obtains the required target data through the obtaining interface provided by the asset database, so that the accuracy of the target data can be ensured, and the requirements on the asset data are met.
Fig. 3 shows a flowchart of a data management method provided by an embodiment of the present disclosure, and as shown in fig. 3, the following steps may be included.
In step S310: and responding to the change of the capacity asset data, and acquiring changed target data.
In step S320: and automatically storing the changed target data into the asset database, and sending a target data change notification to the application party subscribed with the target data change message.
In the embodiment of the disclosure, when acquiring the target data, the application party may subscribe the target data change message to the asset database. If the generated capability asset data is detected to be changed, the changed capability asset data can be automatically acquired, and the changed capability asset data is automatically analyzed based on the corresponding analyzer to obtain changed target data. And sending a target data change notice to the application party subscribed with the target data change message, and sending the target data change notice to the application party.
It is understood that the change target data also includes identification information, and in addition to the identification information, one or more of name of the applet implementable capability, version number, classification, operating environment, system, host name, parameter/attribute information, product information, open source information, test result information, and the like. And automatically storing the changed target data into the asset database based on the corresponding storage interface, and automatically changing the corresponding target data.
In the present disclosure, the capability asset data change may be an addition and/or modification, etc.
In the embodiment of the disclosure, different capability asset data can be uniformly managed, which is beneficial to the co-construction of the whole ecology of the small program. And more comprehensive capability asset data can be provided to the application party.
In the method and the device, different application parties can obtain the target data corresponding to the application parties according to the requirements of the application parties, so that the efficiency of obtaining the target data by the application parties can be improved, and the cost of checking the small program capacity problem and aligning communication is reduced.
FIG. 4 is a schematic diagram illustrating generation of capacity asset data in a data management method provided by an embodiment of the present disclosure, as shown in FIG. 4, including a data source 1, a data source 2, a data source 3, a data source 4, and a data source 5. Different data sources analyze different capacity asset data, and the obtained target data are also different. As shown in fig. 4, other data of each target data is different except that the specific capability identification information is the same. And automatically storing all target data into the asset database through the storage interface.
Fig. 5 is a schematic diagram illustrating consumption capability asset data in a data management method provided by an embodiment of the present disclosure, and as shown in fig. 5, each application party acquires capability asset data through an acquisition interface according to its own business requirement. As described above, each application party may use an acquisition interface (a general acquisition interface) commonly used by different application parties to acquire the required target data, or may use a corresponding acquisition interface to acquire the required target data according to different data requirements. And each application party can adjust the used acquisition interface according to the specific requirement condition.
Target data obtained by each application party from the same asset database has no difference, so that the problem of data difference is avoided. And each application party directly obtains the target data from the asset database without going through a production process, so that the efficiency is improved.
In the embodiment of the present disclosure, when acquiring the required target data, each application party may send a capability asset data change subscription request to the asset database according to the situation. When the subscription request of the capability asset data change is used for changing the target data in the asset database, the updated target data sent by the asset database can be automatically received. And if the change target data sent by the asset database is received, changing the corresponding target data.
Fig. 6 is a schematic diagram illustrating a data management method provided by an embodiment of the present disclosure, as shown in fig. 6, different data sources parse capability asset data through a parser to obtain different target data with the same capability identification information. And storing different target data into the asset database through the storage interface. And the asset database provides target data required by each application party to each application party through the acquisition interface.
Based on the same principle as the method shown in fig. 1, fig. 7 shows a schematic structural diagram of capability asset management provided by the embodiment of the present disclosure, and as shown in fig. 7, the data management apparatus 100 may include:
an obtaining module 101, configured to obtain capability asset data of an applet; the storage module 102 is configured to automatically analyze the capability asset data to obtain target data, and automatically store the target data; the processing module 103 is configured to, in response to receiving a data request, provide target data corresponding to the data request.
In an embodiment of the present disclosure, the storage module 102 is configured to automatically parse the capability asset data based on a parser to obtain at least one target data; storing the at least one target data in an asset database.
In the embodiment of the present disclosure, the storage module 102 is configured to automatically store the at least one target data into the asset database based on a storage interface of the asset database; or
Automatically storing the at least one target data into an asset database based on a storage interface of a data source that generated the capability asset data.
In the embodiment of the present disclosure, the processing module 103 is configured to automatically parse the capability asset data based on a parser of the asset database; or, automatically parsing the capability asset data based on a parser of a data source that generated the capability asset data.
In this disclosed embodiment, the processing module 103 is further configured to: responding to the change of the capacity asset data, and acquiring changed target data; and automatically storing the changed target data into the asset database, and sending a target data change notification to the application party subscribed with the target data change message.
In an embodiment of the present disclosure, the processing module 103 is configured to: providing target data corresponding to the data request for at least one application party based on the same acquisition interface; or
And providing target data corresponding to the data request for at least one application party based on different acquisition interfaces.
In an embodiment of the present disclosure, the at least one target data includes the same identification information and includes different data information.
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.
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. 8 shows a schematic block diagram of an example electronic device 200 that may 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. 8, the apparatus 200 includes a computing unit 201 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)202 or a computer program loaded from a storage unit 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data required for the operation of the device 200 can also be stored. The computing unit 201, the ROM 202, and the RAM 203 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 204.
Various components in the device 200 are connected to the I/O interface 205, including: an input unit 206 such as a keyboard, a mouse, or the like; an output unit 207 such as various types of displays, speakers, and the like; a storage unit 208, such as a magnetic disk, optical disk, or the like; and a communication unit 209 such as a network card, modem, wireless communication transceiver, etc. The communication unit 209 allows the device 200 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 201 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 201 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 computing unit 201 performs the various methods and processes described above, such as recipe applet data management. For example, in some embodiments, the method applet data management may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 208. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 200 via the ROM 402 and/or the communication unit 209. When the computer program is loaded into the RAM 203 and executed by the computing unit 201, one or more steps of the above described method applet data management may be performed. Alternatively, in other embodiments, the computing unit 201 may be configured to perform the method applet data management 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 or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
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.
Claims (17)
1. A method of data management, the method comprising:
acquiring capability asset data of the applet;
automatically analyzing the capability asset data to obtain target data, and automatically storing the target data;
in response to receiving a data request, target data corresponding to the data request is provided.
2. The method of claim 1, wherein the automatically parsing the capability asset data, obtaining target data, and automatically storing the target data comprises:
automatically analyzing the capability asset data based on an analyzer to obtain at least one target data;
storing the at least one target data in an asset database.
3. The method of claim 2, wherein the automatically parsing the capability asset data based on a parser comprises:
automatically parsing the capability asset data based on a parser of the asset database; or
Automatically parsing the capability asset data based on a parser of a data source that generated the capability asset data.
4. The method of claim 2, wherein said storing said at least one target data in an asset database comprises:
automatically storing the at least one target data into an asset database based on a storage interface of the asset database; or
Automatically storing the at least one target data into an asset database based on a storage interface of a data source that generated the capability asset data.
5. The method of claim 1, wherein the providing target data corresponding to the data request comprises:
providing target data corresponding to the data request for at least one application party based on the same acquisition interface; or
And providing target data corresponding to the data request for at least one application party based on different acquisition interfaces.
6. The method of claim 1, wherein the method further comprises:
responding to the change of the capacity asset data, and acquiring changed target data;
and automatically storing the changed target data into the asset database, and sending a target data change notification to the application party subscribed with the target data change message.
7. The method of claim 2, wherein the at least one target data includes the same identification information and includes different data information.
8. A data management apparatus, the apparatus comprising:
the acquisition module is used for acquiring the capability asset data of the applet;
the storage module is used for automatically analyzing the capability asset data to obtain target data and automatically storing the target data;
and the processing module is used for responding to the received data request and providing target data corresponding to the data request.
9. The apparatus of claim 8, wherein the storage module is to:
automatically analyzing the capability asset data based on an analyzer to obtain at least one target data;
storing the at least one target data in an asset database.
10. The apparatus of claim 9, wherein the storage module is configured to:
automatically storing the at least one target data into an asset database based on a storage interface of the asset database; or
Automatically storing the at least one target data into an asset database based on a storage interface of a data source that generated the capability asset data.
11. The apparatus of claim 9, wherein the processing module is configured to:
automatically parsing the capability asset data based on a parser of the asset database; or
Automatically parsing the capability asset data based on a parser of a data source that generated the capability asset data.
12. The apparatus of claim 8, wherein the processing module is further configured to:
responding to the change of the capacity asset data, and acquiring changed target data;
and automatically storing the changed target data into the asset database, and sending a target data change notification to the application party subscribed with the target data change message.
13. The apparatus of claim 8, wherein the processing module is to:
providing target data corresponding to the data request for at least one application party based on the same acquisition interface; or
And providing target data corresponding to the data request for at least one application party based on different acquisition interfaces.
14. The apparatus of claim 9, wherein the at least one target data comprises the same identification information and comprises different data information.
15. 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 1-7.
16. 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 1-7.
17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115794214A (en) * | 2023-02-09 | 2023-03-14 | 中邮消费金融有限公司 | Application module metadata management method, device, storage medium and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115794214A (en) * | 2023-02-09 | 2023-03-14 | 中邮消费金融有限公司 | Application module metadata management method, device, storage medium and device |
| CN115794214B (en) * | 2023-02-09 | 2023-05-12 | 中邮消费金融有限公司 | Application module metadata management method, device, storage medium and apparatus |
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