CN116257229A - Interface generation system and interface generation method - Google Patents
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Abstract
The invention provides an interface generation system and an interface generation method. The interface generation system includes a storage device and a processor. The device comprises a stored data docking module, a data analysis module, a recording module and an inverse analysis module. The processor is coupled with the storage device and executes the data docking module, the data analysis module, the recording module and the inverse analysis module. The processor inputs the data source information to the data docking module to enable the data docking module to generate the metadata set. The data analysis module analyzes the metadata set according to the built-in rules to generate a data component. The recording module generates a configuration interface and service logic according to the operation data of the corresponding data component, and the inverse analysis module generates corresponding interface data according to the configuration interface and the service logic. According to the interface generation system and the interface generation method, the corresponding interface and interface data are effectively generated according to the user requirements and the data through the recording module and the inverse analysis module.
Description
Technical Field
The invention relates to an interface generation system and an interface generation method.
Background
With the development of the internet, the storage mode of data has been converted from the storage mode of paper documents to the storage mode of data documents on the network. Therefore, to cope with the changing environment and customer demands, developers of software and interface development also need to analyze data constantly and frequently to make adjustments of software and interface development many times. However, when a customer changes the system or changes the originally matched software developer, the new software developer must develop the appropriate software and interfaces according to the customer's needs and data. However, existing software developers must analyze, design, negotiate, develop, and adjust to the online one by one according to the needs of the clients and data, which consumes much labor and time costs, and cannot efficiently adjust the interface system according to the needs of the clients.
Disclosure of Invention
The invention is directed to an interface generation system and an interface generation method, which can effectively generate a corresponding interface and interface data according to user requirements and data through a recording module and an inverse analysis module, wherein the interface data comprises a back end code of response data.
According to an embodiment of the present invention, an interface generation system of the present invention includes a storage device and a processor. The storage device stores the data docking module, the data analysis module, the recording module and the inverse analysis module. The processor is coupled with the storage device and executes the data docking module, the data analysis module, the recording module and the inverse analysis module. The processor inputs the data source information to the data docking module to enable the data docking module to generate the metadata set. The data analysis module analyzes the metadata set according to the built-in rules to generate a data component. The recording module generates a configuration interface and service logic according to the operation data of the corresponding data component, and the inverse analysis module generates corresponding interface data according to the configuration interface and the service logic.
According to an embodiment of the present invention, the interface generation method of the present invention includes the steps of: inputting the data source information to a data docking module to generate a metadata set; analyzing the metadata set according to the built-in rule to generate a data component; generating a configuration interface and business logic according to the operation data of the corresponding data component; and generating corresponding interface data according to the configuration interface and the business logic.
Based on the above, the interface generation system and the interface generation method of the invention can quickly generate the corresponding interface according to the data source information and the user adjustment record. And interface data comprising a back-end code is generated according to the interface through the inverse analysis module, and the interface data are optimized and adjusted according to the user operation record through the intelligent recommendation module, so that the interface and the interface data which meet the user requirements and the operation habits are effectively provided.
In order to make the above features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
FIG. 1 is a schematic diagram of an interface generation system according to an embodiment of the present invention;
FIG. 2 is a flow chart of an interface generation method of an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data docking module, a data analysis module, and a recording module according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a recording module and an intelligent recommendation module according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an interface template library, an inverse parsing module and an interface device according to an embodiment of the invention.
Description of the reference numerals
100: an interface generating system;
110: a processor;
120: a storage device;
121: a data docking module;
1211: an input module;
122: a data analysis module;
1221: an element analysis module;
1222: a text parsing module;
1223: a graph analysis module;
1224: a layout analysis module;
1225: a color matching analysis module;
1226: a database parsing module;
1227: a data fuzzy matching module;
1228: an operation definition module;
123: a recording module;
1231: a component module;
1232: a dynamic preview module;
1233: an action module;
1234: an interaction module;
1235: an interface template library;
124: an inverse analysis module;
1241: an interface element model;
1242: an element code generation module;
1243: a data calibration module;
1244: an interface data model;
1245: a data interface generation module;
125: an interface device;
126: an intelligent recommendation module;
s210 to S240, S301, S302: and (3) step (c).
Detailed Description
Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the description to refer to the same or like parts.
FIG. 1 is a schematic diagram of an interface generation system according to an embodiment of the present invention. Referring to fig. 1, an interface generation system 100 includes a processor 110 and a storage 120. The processor 110 is coupled to the storage device 120. The storage device 120 is configured to store a data docking module 121, a data analysis module 122, a recording module 123, an inverse analysis module 124, an interface device 125, and an intelligent recommendation module 126. In this embodiment, the interface generation system 100 may receive/provide data, code (e.g., back-end code) and other Business service (Business) functions for interface generation through a specific application program interface (Application Programming Interface, API). In other words, the user may operate the application program interface of the interface generation system 100 to input data source information (e.g., HTTP URL (Uniform Resource Locator), data source address, database accounting, database type (ex: oracle, mySQL), data type (e.g., excel, word, txt), etc. information and data related to the generated interface), and the interface generation system 100 may automatically execute the data source interfacing module 121, the data analyzing module 122, the recording module 123, the inverse analyzing module 124, the interface device 125, and the intelligent recommendation module 126 according to the data source information to quickly generate the interface and the interface data according to the information and the data provided by the user, and adjust the interface and the data components of the interface according to the user operation behavior.
In this embodiment, the interface generating system 100 may be, for example, provided in a terminal device of a user for the user to operate and collect and record operation records, operation behaviors, and edit records of the user. Alternatively, the interface generating system 100 may be, for example, disposed in a cloud server for a user to operate and connect to control a plurality of terminal devices. In this embodiment, the processor 110 may include, for example, a central processing unit (Central Processing Unit, CPU), or other programmable general purpose or special purpose Microprocessor (Microprocessor), digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD), other similar processing circuit, or a combination of these devices. The storage device 120 may include a plurality of memories (memories) and/or databases (databases), wherein the storage device 120 may be, for example, a Non-Volatile Memory (NVM). The storage device 120 may store relevant programs, modules, systems, or algorithms for implementing embodiments of the invention for access and execution by the processor 110 to implement the relevant functions and operations described by the embodiments of the invention. In the present embodiment, the data docking module 121, the data analysis module 122, the recording module 123, the inverse parsing module 124, the interface device 125, the intelligent recommendation module 126, and other modules may be implemented in a program language such as JSON (JavaScript Object Notation), extensible markup language (Extensible Markup Language, XML), or YAML, but the present invention is not limited thereto.
FIG. 2 is a flow chart of an interface generation method according to an embodiment of the present invention. Referring to fig. 1 and 2, the interface generating system 100 of the present embodiment may perform steps S210 to S240 as follows. In this embodiment, the user may be communicatively coupled to an application program interface of the interface generation system 100 to input and receive data and information related to the generation interface and the system interface. In step S210, the processor 110 inputs the data source information to the data docking module 121, and executes the data docking module 121 to generate a metadata group. In this embodiment, the data source information may be basic data of the user provided interface and a source of the basic data, so that the data docking module 121 may be connected to a designated database through the internet. And, the data docking module 121 retrieves and obtains data according to the database address, the database directory, the database rights and/or the database account in the data source information according to the read and parsed data source information.
The data source information may be, for example, information such as hypertext transfer protocol (Hypertext Transfer Protocol, HTTP) uniform resource locator (Uniform Resource Locator, URL), data source address, database accounting, database type (e.g., oracle and MySQL), data type (e.g., spreadsheet (Excel) file, text file (Word), and text format (txt) file), etc. That is, the interface generating system 100 and the interface generating method enable the interface generating system 100 to achieve the reading and analyzing of the main stream data source through the data docking module 121. The metadata sets may be, for example, database tables, table data, and/or text data corresponding to the corresponding data source information.
And, the data acquired by the data docking module 121 may be, for example, operation, interface, and component configuration data of terminal devices (such as a handheld device, a desktop computer, and a notebook computer), and the data is derived from each system. In other words, the interface generating system 100 may obtain data with basic Business logic and interfaces from a database through the data docking module 121 and input the data into the data analysis module 122, it should be noted that the data docking module 121 may analyze data source information (e.g. HTTPs URL) as a search object name to obtain related data Of corresponding data source information, and further search more objects.
In step S220, the processor 110 analyzes the metadata set according to the built-in rule to generate a data component through the data analysis module 122. Built-in rules may be preset rules (core rules), such as those types of data that are displayed in corresponding templates (e.g., menus, tables, lists, details, pie charts, data charts, and graphs) and bind corresponding interactive functions (queries, modifications, deletions, queries, jumps) and corresponding action functions (e.g., clicks, slides, dialogs). For example, data related to the punch is displayed in a menu (template), clicked (action function), and jumped (interaction function) to a page where the punch was successful after the user clicked. The data component may be the combined data formed by binding the data with the corresponding interactions (i.e., interaction functions), actions (i.e., action functions), and templates.
In step S230, the processor 110 generates a configuration interface and business logic according to the operation data of the corresponding data component through the recording module 123. The operational data may be, for example, user modification/editing or new operations on interactions, actions, templates or components. In other words, the operation data is operation data for the user to perform the operation and adjustment of the interface layout on the system page. The configuration interface is an interface after user adjustment and editing, the business logic is logic generated by user dragging/configuration/editing (namely logic corresponding to user operation data), and the business logic corresponds to interface display logic after user operation and editing data.
In step S240, the processor 110 generates corresponding interface data according to the configuration interface and the service logic through the inverse parsing module 124. The interface data is data and codes of interfaces and pictures (i.e. operation interfaces, operation pictures and system interfaces) corresponding to the business logic. In other words, the interface data is an interface code and a code generated by the adjusted interface through a general interface (or a user-specified street).
Fig. 3 is a schematic diagram of the data docking module 121, the data analysis module 122, and the recording module 123 according to an embodiment of the invention. Reference is made to fig. 1 to 3. In step S301, a user or an interface developer starts and inputs data source information to the processor 110 to start an interface generation flow. In the present invention, the data docking module 121 includes an input module 1211, and the input module 1211 obtains corresponding data according to data source information, and the input module 1211 may receive a viewing instruction (e.g., a search instruction) of a user to display history data corresponding to the viewing instruction, thereby providing the user to search for used data, data in a database, and history data (e.g., search history, use history, and input history).
In one embodiment, the data analysis module 122 performs a qualitative analysis on the metadata set according to the built-in rules, and the data analysis module 122 performs statistics on the data stored in the storage device 120 to generate statistical data. The data analysis module 122 may adjust the built-in rules based on the statistics. The built-in rule may be, for example, a manually defined rule, or may be a rule generalized by the data analysis module 122 according to the data.
In this way, the Data analysis module 122 performs qualitative and quantitative analysis on the Data in the Data Source (Data Source) to form a Data component, and stores the Data component in the component database of the storage device 120. For example, the data in the database includes that most users perform the card punching operation from eight to eight and a half, and most users check news bulletins after the card punching operation is completed, and a specific type of users (such as sales personnel) perform the card punching operation after the card punching operation is completed. As such, the data analysis module 122 may extract the data features (e.g., sequence of actions, point-in-time of operation, and user type) to train the deep learning model to obtain rules related to the data (e.g., sales person swipe card order). And the data analysis module 122 adjusts the built-in rules according to the generalized rules (i.e., adjusts the built-in rules according to the statistics). The data component may be, for example, a data component that is summarized by analyzing data and most users punch cards (functions) at eight points in the morning through a sliding manner (template), and the data analysis module 122 obtains the data component that displays the punch cards in the sliding manner according to the statistics. That is, the data component is the setting data for displaying and executing different data with corresponding templates, functions and interactions (e.g. jump to news page after punching card).
In one embodiment, the data analysis module 122 includes an element parsing module 1221. The element parsing module 1221 classifies the metadata group into database type data and non-database type data according to data types. The database type data may be, for example, a database table and built-in rules of the database. The non-database type data may be, for example, text data and graphic data read (acquired) by the data docking module 121.
In one embodiment, the data analysis module 122 further includes a text parsing module 1222, a graphics parsing module 1223, a layout parsing module 1224, and a color matching parsing module 1225. The processor 110 separates the non-database type data into text data and graphic class data through the text parsing module 1222, and the text parsing module 1222 associates the text data and association records according to built-in rules. Specifically, the text parsing module 1222 performs association analysis on file data (text data) in the data and other file data through built-in rules according to data acquired from data source information provided by a user, and stores the file association relationship record in the storage device 120. In other words, the data includes employee data of the business department and the engineering department, and the text parsing module 1222 sorts the employee data into business department employee data and functional department employee data according to the built-in rule (for example, department type or department classification rule), and performs association analysis on the business department employee data and the elastic type of the time of punching card or performs association analysis on the business department employee data and the elastic location of punching card according to the built-in rule (for example, the time of business department working is not hard).
In one embodiment, the graphic parsing module 1223 screens the identifiable graphic data according to the graphic class data, the layout parsing module 1224 cuts the identifiable graphic data to generate a plurality of cut graphic data, and the color matching parsing module 1225 generates a corresponding plurality of color data according to the plurality of cut graphic data. As such, the data analysis module 122 recognizes and analyzes the image provided by the user through the graphic analysis module 1223, the layout analysis module 1224 and the color matching analysis module 1225, and stores the corresponding data in the storage device 120 according to the content of the image. That is, the data analysis module 122 can identify the image uploaded by the user or the image of the interface template of the user, and further analyze the interface template to quickly generate the interface designated by the user.
In one embodiment, the data analysis module 122 includes a database parsing module 1226, a data fuzzy matching module 1227, and an operation definition module 1228. The database parsing module 1226 performs a data cleansing process on the database type data to generate a data Object, and the data fuzzy matching module 1227 performs a relationship record on the data Object (Object) according to the built-in rule to generate data and a relationship record. The relationship record may be, for example, the relationship between business department employee data (i.e., data objects) and the punch location/time free rule described above, and the relationship record is made based on the analysis and the built-in rule. The Data cleansing (Data cleansing) process is a process in which database parsing module 1226 re-reviews and verifies Data in the database. And, through the data cleaning process, the duplicate data can be deleted, the errors present can be modified, and the consistency of the data can be provided.
The operation definition module 1228 generates a data stream according to the association record. The data flow direction is from the data transfer perspective and the data change perspective to express the logical functions of the system and the data. That is, the logical flow and logical transformation process of data within the system is the primary expression tool for the analysis method of the structured system. That is, the operation definition module 1228 may generate a data stream (e.g., display the current news data after completing the card punching, and the attendance data a is displayed on the leave list after calculation) according to the association record (e.g., jump to the news page after the business person has punched the card).
Fig. 4 is a schematic diagram of a recording module and an intelligent recommendation module according to an embodiment of the invention. Please refer to fig. 1 to 4. In one embodiment, the recording module 123 includes a component module 1231 and a dynamic preview module 1232. The component module 1231 generates template data from the data stream and the associated data in the metadata set. Template data is data and corresponding templates (e.g., lists and details). Next, the dynamic preview module 1232 generates a preview interface based on the template data, the preset interaction data, and the preset action data. Specifically, the dynamic preview module 1232 generates a preview interface according to the data provided by the user through the data source information, the preset interactive data, and the preset action data. In an embodiment, dynamic preview module 1232 may display the preview interface on a display screen or on interface device 125. In this way, the user can view and confirm the content of the interface and the configuration of the data and components in the interface through the dynamic preview module 1232.
In one embodiment, the recording module 123 further includes an action module 1233, an interaction module 1234, and an interface template library 1235. The action module 1233 modifies the action data of the preview interface according to the user operation action. The interaction module 1234 modifies interaction data of the preview interface in accordance with the user-operated interaction. The component module 1231 modifies the data component according to the user-operated component. Specifically, while the user views the current preview interface through the dynamic preview module 1232 and the display/interface device 125, the user may operate and adjust the current preview interface through touch or input devices (such as a mouse, a keyboard, and a sensor), and further input the user adjustment record into the interface generating system 100. And, the user adjustment record includes a user operation action, a user operation interaction, and a user operation component. That is, the recording module 123 may modify the records of the adjustment action function (i.e., user operation action), the adjustment interaction function (i.e., user operation interaction), and the adjustment data component (i.e., user operation component) in the user adjustment record by the action module 1233, the interaction module 1234, and the component module 1231, respectively, with the corresponding action data, interaction data, and data component.
In one embodiment, the interface template library 1235 generates configuration interfaces and business logic based on preview interfaces, action data, interaction data, and data components. For example, the dynamic preview interface 1232 displays the data components, preset (Preset) action functions and Preset interactive functions, and then the user adjusts and edits the data components, interactive functions and action functions in the interface, so as to adjust the configuration of the interface and the settings related to the interface (such as the data components, interactive functions and action functions), and stores the edited settings and interface in the storage device 120, so that the time cost of multiple communication and modification between the user and the development terminal during the development of the interface is greatly saved. In one embodiment, the user may select an interface template in the preview interface while viewing the preview interface displayed by the dynamic preview interface 1232, and then bind the association between the selected data object and the template by dragging the corresponding data object onto the interface. And, the user may also configure the selected data object with new/preset interactive functions and action functions to adjust the preview interface. Next, after the user presses the save/confirm button, the interface template library 1235 generates a configuration interface and business logic according to the user's adjustment operation and preview interface.
That is, the interface generation system 100 stores and outputs corresponding interface information according to the user adjustment page, the user adjustment record, and the user characteristics. For example, after the user adjusts the interface region of the display page, the interface template library 1235 stores the adjusted adjustment record as interface information/data with the user identification (e.g., user identity and user account number). On the other hand, by performing parameter adjustment on the interface information by a large number of users, when the adjustment number reaches the threshold (for example, the proportional value reaches eighty percent or the modification number reaches fifty times), the interface generation system 100 determines that the adjustment record is the interface information conforming to the habit of the users. Thus, the interface template library 1235 adjusts settings and data in the configuration interface according to the adjustment record.
FIG. 5 is a schematic diagram of an interface template library, an inverse parsing module and an interface device according to an embodiment of the invention. Please refer to fig. 1 to 5. In one embodiment, the inverse parsing module 124 includes an interface element model 1241 and an element code generation module 1242. Interface element model 1241 converts the interface (i.e., the user-adjusted configuration interface) and business logic into corresponding function plug-in (e.g., javaScript function plug-in) data. Next, the element code generation module 1242 converts the interface and function plug-in data into an interface code, which is a data-less interface code.
In one embodiment, the inverse parsing module 124 includes a data calibration module 1243, an interface data model 1244, and a data interface generation module 1245. The data calibration module 1243 obtains the corresponding data according to the service logic, where the corresponding data is the data corresponding to the service logic in the data. For example, the data alignment module 1243 pulls the punch function (action function) and display job position and punch pattern (data component) associated with the business logic from the database based on the job position data associated with the attendance setting (business logic). Next, the interface data model 1244 generates a data path (i.e., a storage address in a database, a data directory, and a data flow of data in the configuration interface) corresponding to the interface according to the conforming data and the interface (i.e., the configuration interface), and the data interface generating module 1245 converts the data path into interface data (i.e., data related to generating the interface, configuration data, data components, interactive functions, and action functions), the interface data including a back-end Code (Code) of the response data. In an embodiment, the data interface generation module 1245 may convert the data path into a corresponding Object (Object) and API interface code (i.e., back-end code) through a reverse generation tool in the framework of access and persistence of existing relational database data (e.g., myblocks). It should be noted that, the interface code includes business logic according to the components, actions and interactions configured/edited by the user through the data analysis module 122, the recording module 123 and the inverse analysis module 124.
In one embodiment, the interface device 125 generates an interface (i.e., an operation screen, operation logic, and system configuration) corresponding to the business logic according to the interface code and the back-end code. In step S302, after the user or the interface developer confirms that the interface content meets the user requirement, the user can input/press the output key to input the output command into the processor 110 to complete the interface generation process. Notably, the intelligent recommendation module 126 adjusts the configuration rules of the interface and the data components according to the user behavior data (i.e., user operation records). In one embodiment, the interface device 125 may be, for example, a display screen including a processor (processor) for displaying an interface with business logic on the display screen. That is, the processor 110 of the interface generation system 100 may automatically generate interface codes based on the configured (i.e., user-adjusted) data components, action functions, and interaction functions.
In summary, the interface generating system 100 and the interface generating method according to the present invention can generate the corresponding interface quickly according to the data source information and the user adjustment record. And, interface data including a back-end code is generated according to the interface through the inverse parsing module 124, and the interface data are optimized and adjusted according to the user operation record through the intelligent recommendation module 126, so as to effectively provide the interface and the interface data which meet the user requirements and the operation habits. Thus, the interface generating system 100 can effectively generate a system interface and operation logic (i.e. business logic) according to user adjustment, so as to reduce the time cost and labor cost of interface development, and further improve the user satisfaction degree and operation efficiency.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (20)
1. An interface generation system, comprising:
the storage device is used for storing the data docking module, the data analysis module, the recording module and the inverse analysis module; and
a processor coupled to the storage device and executing the data docking module, the data analysis module, the recording module, and the inverse analysis module,
wherein the processor inputs data source information to the data docking module to cause the data docking module to generate a metadata set, and the data analysis module analyzes the metadata set according to built-in rules to generate a data component,
the recording module generates a configuration interface and service logic according to the operation data corresponding to the data component, and the inverse analysis module generates corresponding interface data according to the configuration interface and the service logic.
2. The interface generation system of claim 1 wherein the data analysis module performs a qualitative analysis on the set of metadata according to the built-in rules and the data analysis module performs statistics on the data stored in the storage device to generate statistics such that the data analysis module adjusts the built-in rules according to the statistics.
3. The interface generation system of claim 1, wherein the data analysis module comprises an element parsing module,
the element analysis module divides the metadata group into database type data and non-database type data according to data types.
4. The interface generation system of claim 3, wherein the data analysis module further comprises a text parsing module, a graphics parsing module, a layout parsing module, and a color matching parsing module,
wherein the text parsing module separates the non-database type data into text data and graphic class data, and associates the text data and association records according to the built-in rule,
the pattern analysis module screens out identifiable pattern data according to the pattern class data, the layout analysis module cuts the identifiable pattern data to generate a plurality of cut pattern data, and the color matching analysis module generates a plurality of corresponding color data according to the plurality of cut pattern data.
5. The interface generation system of claim 3, wherein the data analysis module comprises a database parsing module, a data fuzzy matching module, and an operation definition module,
wherein the database analysis module performs data cleaning processing on the database type data to generate a data object, the data fuzzy matching module performs relationship records on the data object according to the built-in rule to generate data and association relationship records,
and the operation definition module generates a data flow according to the association relation record.
6. The interface generation system of claim 5, wherein the recording module comprises a component module and a dynamic preview module,
the module generates template data according to the data flow direction and the associated data in the metadata group, and the dynamic preview module generates a preview interface according to the template data, preset interaction data and preset action data.
7. The interface generation system of claim 6, wherein the recording module further comprises an action module, an interaction module, and an interface template library,
wherein the action module modifies action data of the preview interface according to user-operated actions, the interaction module modifies interaction data of the preview interface according to user-operated interactions, and the component module modifies the data component according to user-operated components,
and the interface template library generates the configuration interface and the business logic according to the preview interface, the action data, the interaction data and the data component.
8. The interface generation system of claim 1, wherein the inverse parsing module comprises an interface element model and an element code generation module,
the interface element model converts the interface and the business logic into corresponding function plug-in data, and the element code generation module converts the interface and the function plug-in data into interface codes, wherein the interface codes are interface codes without data.
9. The interface generation system of claim 8, wherein the inverse parsing module comprises a data calibration module, an interface data model, and a data interface generation module,
wherein the data calibration module obtains consistent data according to the business logic, the consistent data is data consistent with the business logic in the data,
the interface data model generates a data path corresponding to the interface according to the conforming data and the interface, and the data interface generation module converts the data path into the interface data, wherein the interface data comprises a back-end code responding to the data.
10. The interface generation system of claim 9, further comprising an interface device and an intelligent recommendation module,
wherein the interface device generates an interface corresponding to the business logic according to the interface code and the back-end code, and the intelligent recommendation module adjusts the configuration rules of the interface and the data component according to user behavior data,
the data docking module comprises an input module, and the input module displays historical data corresponding to the checking instruction according to the checking instruction.
11. An interface generation method, comprising:
inputting the data source information to a data docking module to generate a metadata set;
analyzing the metadata set according to built-in rules to produce a data component;
generating a configuration interface and business logic according to the operation data corresponding to the data component; and
and generating corresponding interface data according to the configuration interface and the business logic.
12. The interface generation method of claim 11 wherein the step of analyzing the set of metadata to generate the data component according to the built-in rules comprises:
performing qualitative analysis on the metadata set according to the built-in rule; and
and counting the data stored in the storage device to generate statistic data so as to adjust the built-in rule according to the statistic data.
13. The interface generation method of claim 11 wherein the step of analyzing the set of metadata to generate the data component according to the built-in rules comprises:
and dividing the metadata group into database type data and non-database type data according to the data types through an element analysis module.
14. The interface generation method of claim 13 wherein the step of analyzing the set of metadata to generate the data component according to the built-in rules further comprises:
separating the non-database type data into text data and graphic type data through a text analysis module;
associating the text data and the association relation record according to the built-in rule through the text analysis module;
screening identifiable graphic data according to the graphic class data through a graphic analysis module;
cutting the identifiable graphic data by a layout parsing module to generate a plurality of cut graphic data; and
and generating a plurality of corresponding color data according to the plurality of cutting graphic data through a color matching analysis module.
15. The interface generation method of claim 13 wherein the step of analyzing the set of metadata to generate the data component according to the built-in rules further comprises:
performing data cleaning processing on the database type data through a database analysis module to generate a data object;
carrying out relation record on the data object according to the built-in rule by a data fuzzy matching module so as to generate data and association relation record; and
and generating a data flow direction according to the association relation record through an operation definition module.
16. The interface generation method of claim 15, wherein the step of generating the configuration interface and the business logic from the operation data corresponding to the data component further comprises:
generating template data according to the data flow direction and the associated data in the metadata group through a component module; and
and generating a preview interface according to the template data, the preset interaction data and the preset action data through a dynamic preview module.
17. The interface generation method of claim 16, wherein the step of generating the interface and the business logic from the operation data corresponding to the data component further comprises:
modifying action data of the preview interface according to user operation actions through an action module;
modifying interaction data of the preview interface through an interaction module according to user operation interaction;
modifying, by the component module, the data component according to a user-operated component; and
and generating the configuration interface and the business logic according to the preview interface, the action data, the interaction data and the data component through an interface template library.
18. The interface generation method according to claim 11, wherein the step of generating the corresponding interface data according to the interface and the business logic includes:
converting the interface and the business logic into corresponding function plug-in data through an interface element model;
and converting the interface and the function plug-in data into interface codes through an element code generation module, wherein the interface codes are interface codes without data.
19. The interface generation method of claim 18, wherein the step of generating the corresponding interface data from the interface and the business logic further comprises:
obtaining consistent data according to the business logic through a data calibration module, wherein the consistent data is data consistent with the business logic in the data;
generating a data path corresponding to the interface according to the conforming data and the interface through an interface data model; and
the data path is converted into the interface data by a data interface generation module, and the interface data comprises a back-end code responding to the data.
20. The interface generation method of claim 19, wherein the step of generating the corresponding interface data from the interface and the business logic further comprises:
generating an interface corresponding to the business logic through an interface device according to the interface code and the back-end code;
adjusting the configuration rule of the interface and the data component according to the user behavior data through an intelligent recommendation module; and
and displaying historical data corresponding to the checking instruction according to the checking instruction through an input module of the data docking module.
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| CN117850786B (en) * | 2024-03-07 | 2024-05-10 | 长江龙新媒体有限公司 | Self-adaptive user interface generation method and system based on user preference |
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