TWI834538B - Interface generating system and interface generating method - Google Patents

Abstract

An interface generating system and an interface generating method are provided. The interface generation system includes a storage device and a processor. The processor is coupled to the storage device, and executes a data docking module, a data analysis module, a recording module, and a reverse analysis module. The processor inputs data source information to the data docking module to generate a metadata set. The data analysis module analyzes the metadata set according to built-in rules to generate data elements. The recording module generates configuration interface and business logic according to the operation data, which are corresponding to the data elements. The reverse analysis module generates corresponding interface data according to the configuration interface and the business logic.

Description

Interface generation system and interface generation method

The invention relates to an interface generation system and an interface generation method.

With the development of the Internet, the storage method of data has changed from the storage method of paper documents to the storage method of data files on the Internet. Therefore, in order to cope with the increasingly changing environment and customer needs, developers of software and interface development also need to continuously and frequently analyze data to make multiple adjustments to software and interface development. However, when a customer changes their system or changes the software developer they originally cooperated with, the new software developer must develop suitable software and interfaces based on the customer's needs and data. However, existing software developers must analyze, design, negotiate, develop, and adjust to go online one by one based on customer needs and data, which will consume a lot of labor costs and time costs, and cannot effectively adjust the interface system according to customer needs.

The present invention is directed to an interface generation system and an interface generation method, which can effectively generate corresponding interfaces and interface data according to user needs and data through recording modules and reverse analysis modules. The interface data includes back-end codes that respond to data.

According to an embodiment of the present invention, the 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 reverse analysis module. The processor is coupled to 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, so that the data docking module generates a metadata group. The data analysis module analyzes metadata groups according to built-in rules to generate data components. The recording module generates the configuration interface and business logic based on the operation data of the corresponding data component, and the reverse analysis module generates the corresponding interface data based on the configuration interface and business logic.

According to an embodiment of the present invention, the interface generation method of the present invention includes the following steps: inputting data source information into the data docking module to generate a metadata group; analyzing the metadata group according to built-in rules to generate data components; according to the corresponding data The operation data of the component generates the configuration interface and business logic; and the corresponding interface data is generated based on the configuration interface and business logic.

Based on the above, the interface generation system and interface generation method of the present invention can quickly generate corresponding interfaces based on data source information and user adjustment records. In addition, the inverse analysis module generates interface data including back-end code based on the interface, and the smart recommendation module optimizes and adjusts the interface and interface data based on user operation records to effectively provide an interface that meets user needs and operating habits. interface data.

In order to make the above-mentioned features and advantages of the present invention more obvious and easy to understand, embodiments are given below and described in detail with reference to the accompanying drawings.

Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Whenever possible, the same component symbols are used in the drawings and descriptions to represent the same or similar parts.

FIG. 1 is a schematic diagram of an interface generation system according to an embodiment of the present invention. Referring to FIG. 1 , the interface generation system 100 includes a processor 110 and a storage device 120 . The processor 110 is coupled to the storage device 120 . The storage device 120 is used to store the data docking module 121, the data analysis module 122, the recording module 123, the inverse analysis module 124, the interface device 125 and the smart recommendation module 126. In this embodiment, the interface generation system 100 can receive/provide data, code (such as back-end code) and other business services (Business services) for interface generation through a specific Application Programming Interface (API). function. In other words, the user can operate the application programming interface of the interface generation system 100 to input data source information (such as HTTP URL (Uniform Resource Locator), data source address, database address, database account password, database type (ex: Oracle, MySQL), data type (such as excel, word, txt) and other information and data related to the generated interface), and the interface generation system 100 can automatically execute the data source docking module 121, data analysis module 122, and record according to the data source information. The module 123, the reverse analysis module 124, the interface device 125 and the smart recommendation module 126 are used to quickly generate interfaces and interface data based on the information and data provided by the user, and adjust the interface and the data components of the interface based on the user's operating behavior. .

In this embodiment, the interface generation system 100 may be, for example, installed in the user's terminal device for the user to operate and collect and record the user's operation records, operation behaviors, and editing records. Alternatively, the interface generation system 100 can be set up in a cloud server, for example, for users to operate and control multiple terminal devices online. In this embodiment, the processor 110 may include, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose microprocessor (Microprocessor) or digital signal processor (Digital Signal Processor). Processor (DSP), Application Specific Integrated Circuits (ASIC), Programmable Logic Device (PLD), other similar processing circuits or a combination of these devices. The storage device 120 may include multiple memories and/or databases, and the storage device 120 may be, for example, a non-volatile memory (NVM). The storage device 120 may store related programs, modules, systems or algorithms for implementing various embodiments of the present invention, for the processor 110 to access and execute to implement related functions and operations described in various embodiments of the present invention. In this embodiment, the data docking module 121, the data analysis module 122, the recording module 123, the inverse analysis module 124, the interface device 125, the smart recommendation module 126 and other modules can, for example, use JSON (JavaScript Object Notation), Extensible Markup Language (XML) or YAML and other such programming languages, but the present invention is not limited thereto.

Figure 2 is a flow chart of an interface generation method according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 2 , the interface generation system 100 of this embodiment may perform the following steps S210 to S240. In this embodiment, the user can communicate with the application programming interface of the interface generation system 100 to input and receive data and information related to the generated interface and the system interface. In step S210, the processor 110 inputs the data source information into 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 the basic data provided by the user to generate the interface and the source of the basic data, so that the data docking module 121 can connect to the designated database through the Internet. Furthermore, the data docking module 121 reads and parses the data source information to retrieve and obtain data based on the database address, database directory, database permission and/or database account password in the data source information.

The data source information may be, for example, Hypertext Transfer Protocol (HTTP) Uniform Resource Locator (URL), data source address, database address, database password, database type (such as Oracle and MySQL) , data type (such as spreadsheet (Excel) file, text file (Word) and text format (txt) file) and other information. In other words, the interface generation system 100 and the interface generation method enable the interface generation system 100 to achieve reading and analysis of mainstream data sources through the data docking module 121 . The metadata group may be, for example, a database table, table data, and/or text data corresponding to the data source information.

Moreover, the data acquired by the data docking module 121 may be, for example, operation, interface, and component configuration data of terminal devices (such as handheld devices, desktop computers, and notebook computers), and the data comes from various systems. In this embodiment, each system is, for example, a customer relationship management (CRM) system, human resource management (HRM), product lifecycle management (PLM), enterprise resource planning ( Enterprise Resource Planning (ERP) systems and line-of-business (Line-Of-Business LOB) systems, etc., this application should not be limited to these. In other words, the interface generation system 100 can obtain data from the database through the data docking module 121 Obtain data with basic business logic and interfaces in each system, and log the data into the data analysis module 122. It is worth mentioning that the data docking module 121 can analyze data source information (such as HTTPs URL) as a search object name to obtain relevant data corresponding to the data source information, and then retrieve more objects.

In step S220, the processor 110 uses the data analysis module 122 to analyze the metadata group according to built-in rules to generate data components. Built-in rules can be preset rules (core rules), such as those types of data that are displayed in corresponding templates (such as menus, tables, lists, details, circle charts, data charts, and curve charts) and bound to corresponding interactions. Functions (query, modify, delete, query, jump) and corresponding action functions (such as click, slide, dialogue). For example, data related to clocking in is displayed using a menu (template), clicked (action function), and the user clicks to jump to the page (interactive function) to the page where the clocking in is successful. The data component can be the combined data formed by binding the data to the corresponding interaction (i.e., interactive function), action (i.e., action function), and template.

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 operation data may be, for example, the user's modification/editing or new operation of interactions, actions, templates or components. In other words, the operation data is the operation data of the user's actions and adjustments to the interface layout on the system page. The configuration interface is the interface adjusted and edited by the user. The business logic is the logic generated by the user's dragging/configuration/editing (that is, the logic corresponding to the user's operation data), and the business logic corresponds to the user's operation and editing data. The subsequent interface display logic.

In step S240, the processor 110 generates corresponding interface data according to the configuration interface and business logic through the inverse analysis module 124. The interface data is the data and codes of the interfaces and screens corresponding to the business logic (that is, the operation interface, the operation screen and the system interface). In other words, the interface data is the interface code and the code generated by the adjusted interface through the common interface (or the user-specified interface).

Figure 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 present invention. Refer to Figures 1 to 3. In step S301, the user or interface developer starts and inputs data source information to the processor 110 to start the interface generation process. In the present invention, the data docking module 121 includes an input module 1211, and the input module 1211 obtains corresponding data according to the data source information, and the input module 1211 can receive the user's viewing instructions (such as search instructions) to display the corresponding data. View the historical data of the command, thereby providing the user with the ability to retrieve used data, data in the database, and historical data (such as retrieval history, usage history, and input history).

In one embodiment, the data analysis module 122 performs qualitative analysis on the metadata group according to 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 can adjust built-in rules based on statistical data. The built-in rules may be, for example, manually defined rules or rules summarized by the data analysis module 122 based on 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 data components, and stores them in the component database of the storage device 120 . For example, the data in the database includes that most users check in from 8:00 to 8:30, and after checking in, most users will then check news announcements, while certain types of users (such as sales staff) check in. After the card is completed, the action of replenishing the card order will be executed. In this way, the data analysis module 122 can extract the above-mentioned data features (such as action sequence, execution time point, and user type) to train the deep learning model, and then obtain rules related to the data (such as a salesperson filling in a card order after punching in). And the data analysis module 122 adjusts the built-in rules according to the rules summarized above (ie, adjusts the built-in rules according to the statistical data). The data component may be, for example, by analyzing the data and concluding that most users check in at eight o'clock in the morning (function) through a sliding method (template), then the data analysis module 122 obtains a data component that displays the clocking in in a sliding method based on the above statistical results. . In other words, the data component is the setting data for display and execution of different data with corresponding templates, functions and interactions (for example, jumping to the news page after punching in).

In one embodiment, the data analysis module 122 includes an element analysis module 1221. The element parsing module 1221 divides the metadata group into database type data and non-database type data according to the data type. Database type data may be, for example, database tables and built-in rules of the database. 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 also includes a text analysis module 1222, a graphics analysis module 1223, a layout analysis module 1224, and a color matching analysis module 1225. The processor 110 separates non-database type data into text data and graphic data through the text parsing module 1222, and the text parsing module 1222 associates text data and association records according to built-in rules. Specifically, the text parsing module 1222 performs correlation analysis on the file data (text data) in the data and other file data through built-in rules based on the data obtained from the data source information provided by the user, and stores file association records. to the storage device 120. In other words, if the data includes employee data of the business department and the engineering department, the text parsing module 1222 organizes the employee data into business department employee data and functional department employee data according to built-in rules (such as department type or department classification rules). And based on the built-in rules (for example, there are no hard and fast rules for business department working hours), the business department employee data is associated with the punch-in time flexible type, or the business department employee data is associated with the flexible punch-in location.

In one embodiment, the graphics analysis module 1223 filters out identifiable graphic data according to graphics data, the layout analysis module 1224 cuts the identifiable graphic data to generate multiple cutting graphic data, and the color matching analysis module 1225 selects identifiable graphic data based on multiple cutting patterns. The graphics data generates corresponding multiple color data. In this way, the data analysis module 122 identifies and analyzes the image provided by the user through the graphics analysis module 1223, the layout analysis module 1224, and the color matching analysis module 1225, and stores the corresponding data in the storage according to the image content. in device 120. That is to say, the data analysis module 122 can identify the pictures uploaded by the user or the user's interface template image, and then quickly generate the user-specified interface by analyzing the interface template.

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 data cleaning processing on database type data to generate data objects. The data fuzzy matching module 1227 performs relationship records on data objects (Objects) according to built-in rules to generate data and association relationship records. The relationship record can be, for example, the above-mentioned relationship between business department employee data (ie, data objects) and punch-in location/time free rules, and associated relationship records based on analysis and built-in rules. Data cleaning is a process in which the database parsing module 1226 re-examines and verifies the data in the database. Moreover, after data cleaning processing, duplicate data can be deleted, existing errors can be modified, and data consistency can be provided.

The operation definition module 1228 generates data flow according to the association relationship records. Data flow expresses the logical functions of the system and data from the perspective of data transfer and data change. In other words, the logical flow and logical transformation process of data within the system are the main expression tools of structured system analysis methods. That is to say, the operation definition module 1228 can generate a data flow direction (for example, display the current news data after completing the check-in, and the attendance data A is displayed on the leave request form after calculation) based on the association record (for example, the business staff jumps to the news page after punching in). superior).

Figure 4 is a schematic diagram of a recording module and a smart recommendation module according to an embodiment of the present invention. Please refer to Figure 1 to Figure 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 according to the data flow direction and associated data in the metadata group. Template data is data and corresponding templates (such as lists and details). Next, the dynamic preview module 1232 generates a preview interface according to the template data, preset interaction data and preset action data. Specifically, the dynamic preview module 1232 generates a preview interface based on the data provided by the user through data source information, preset interaction data, and preset action data. In one embodiment, the dynamic preview module 1232 can display the preview interface on the display screen or on the interface device 125 . In this way, the user can view and confirm the interface content and the configuration of each data and component in the interface through the dynamic preview module 1232.

In one embodiment, the recording module 123 also 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's operation actions. The interaction module 1234 interactively modifies the interactive data of the preview interface according to user operations. The component module 1231 modifies the data component according to the user's operation of the component. Specifically, when the user views the current preview interface through the dynamic preview module 1232 and the display/interface device 125, the user can operate and adjust it through touch or input devices (such as a mouse, keyboard, and sensor). The current preview interface is then input into the interface generation system 100 by user adjustment records. Furthermore, the user adjustment record includes user operation actions, user operation interactions, and user operation components. That is to say, the recording module 123 can record 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 through respectively The action module 1233, the interaction module 1234 and the component module 1231 modify the corresponding action data, interaction data and data components.

In one embodiment, the interface template library 1235 generates the configuration interface and business logic based on the preview interface, action data, interaction data and data components. For example, the dynamic preview interface 1232 displays data components, preset (Preset) action functions, and preset interactive functions. Then the user adjusts and edits the data components, interactive functions, and action functions in the interface, and then adjusts the configuration of the interface. and interface-related settings (such as data components, interactive functions, and action functions), and the edited settings and interfaces are stored in the storage device 120, thereby greatly saving the need for multiple communications between the user and the development end during interface development. and the time cost of modifications. In one embodiment, when the user views the preview interface displayed by the dynamic preview interface 1232, the user can select an interface template in the preview interface, and then bind the selected data by dragging the corresponding data object onto the interface. The relationship between objects and templates. In addition, users can also configure the selected data objects with new/preset interactive functions and action functions to adjust the preview interface. Then, after the user presses the save/confirm button, the interface template library 1235 generates the configuration interface and business logic based on the user's adjustment operation and preview interface.

That is to say, the interface generation system 100 stores and outputs corresponding interface information based on the user's adjustment page, the user's adjustment record, and the user's characteristics. For example, after the user adjusts the interface area of the display page, the interface template library 1235 stores the adjusted adjustment record as interface information/data with user identification (such as user identity and user account). On the other hand, through a large number of users adjusting the parameters of the interface information, when the number of adjustments reaches a threshold (for example, the proportion value reaches 80% or the number of modifications reaches 50 times), the interface generation system 100 determines that the adjustment record is consistent with Interface information that users are accustomed to. In this way, the interface template library 1235 adjusts the settings and data in the configuration interface according to the adjustment record.

Figure 5 is a schematic diagram of an interface template library, a reverse parsing module and an interface device according to an embodiment of the present invention. Please refer to Figure 1 to Figure 5. In one embodiment, the inverse parsing module 124 includes an interface element model 1241 and an element code generation module 1242. The interface element model 1241 converts the interface (ie, the user-adjusted configuration interface) and business logic into corresponding function plug-in (such as JavaScript function plug-in) data. Next, the element code generation module 1242 converts the interface and function plug-in data into interface codes, and the interface codes are interface codes without data.

In one embodiment, the inverse analysis 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 consistent data according to business logic, and the consistent data is data in the data that conforms to the business logic. For example, the data calibration module 1243 pulls out the punch-in function (action function) and the display position and clock-in method (data component) associated with the business logic from the database based on the association between position data and attendance settings (business logic). Next, the interface data model 1244 generates the data path of the corresponding interface (i.e., the storage address in the database, the data directory, and the data flow direction of the data in the configuration interface) based on the matching data and the interface (i.e., the configuration interface), and the data interface generates a module 1245 converts the data path into interface data (that is, data related to the generated interface, configuration data, data components, interactive functions, and action functions). The interface data includes the back-end code (Code) that responds to the data. In one embodiment, the data interface generation module 1245 can convert the data path into the corresponding object (Object) and API interface code through the reverse generation tool in the existing relational database data access and persistence framework (such as Mybatis). (i.e. backend code). It is worth mentioning that the interface code includes business logic through the data analysis module 122, the recording module 123, and the reverse analysis module 124 according to the components, actions, and interactions configured/edited by the user.

In one embodiment, the interface device 125 generates an interface corresponding to the business logic (ie, operation screen, operation logic, and system configuration) based on the interface code and the back-end code. In step S302, after the user or interface developer confirms that the interface content meets the user's needs, the user or interface developer can input an output command to the processor 110 by triggering/pressing the output button to complete the interface generation process. It is worth noting that the smart recommendation module 126 adjusts the configuration rules and data components of the interface based on user behavior data (ie, user operation records). In one embodiment, the interface device 125 may be, for example, a display including a processor, for displaying an interface with business logic on the display screen. That is to say, the processor 110 of the interface generation system 100 can automatically generate interface code according to the configured (that is, adjusted by the user) data components, action functions, and interactive functions.

In summary, the interface generation system 100 and the interface generation method of the present invention can quickly generate corresponding interfaces based on data source information and user adjustment records. In addition, the inverse analysis module 124 generates interface data including back-end code according to the interface, and the smart recommendation module 126 optimizes and adjusts the interface and interface data according to user operation records to effectively provide user needs and operating habits. interface and interface data. In this way, the interface generation system 100 can efficiently generate system interfaces and operation logic (i.e., business logic) that are consistent with user adjustments, thereby reducing the time cost and labor cost of interface development, thereby improving user satisfaction and operation efficiency.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention. Scope.

100:Interface generation system

110: Processor

120:Storage device

121:Data docking module

1211:Input module

122:Data analysis module

1221:Element analysis module

1222:Text parsing module

1223:Graphics analysis module

1224: Layout analysis module

1225: Color matching analysis module

1226:Database parsing module

1227: Data fuzzy matching module

1228: Operation definition module

123:Recording module

1231:Component module

1232:Dynamic preview module

1233:Action module

1234:Interactive module

1235:Interface template library

124:Inverse analysis module

1241:Interface element model

1242:Element code generation module

1243:Data calibration module

1244:Interface data model

1245:Data interface generation module

125:Interface device

126:Smart recommendation module

S210~S240, S301, S302: steps

FIG. 1 is a schematic diagram of an interface generation system according to an embodiment of the present invention. Figure 2 is a flow chart of an interface generation method according to an embodiment of the present invention. Figure 3 is a schematic diagram of the data docking module, data analysis module and recording module according to an embodiment of the present invention. Figure 4 is a schematic diagram of a recording module and a smart recommendation module according to an embodiment of the present invention. Figure 5 is a schematic diagram of an interface template library, a reverse parsing module and an interface device according to an embodiment of the present invention.

S210~S240: steps

Claims (18)

An interface generation system includes: a storage device that stores a data docking module, a data analysis module, a recording module and an inverse analysis module; and a processor that is coupled to the storage device and executes the data docking module, The data analysis module, the recording module and the reverse analysis module, wherein the processor inputs data source information to the data docking module, so that the data docking module generates a metadata group , and the data analysis module analyzes the metadata group according to built-in rules to generate data components, wherein the recording module generates a configuration interface and business logic based on the operation data corresponding to the data component, and the inverse analysis module The group generates corresponding interface data according to the configuration interface and the business logic, wherein the data analysis module includes a database parsing module, a data fuzzy matching module and an operation definition module, and the processor executes the database The parsing module, the data fuzzy matching module and the operation definition module, wherein the database parsing module performs data cleaning processing on the database type data to generate data objects, and the data fuzzy matching module performs data cleaning according to the The built-in rules perform relationship records on the data objects to generate data and association relationship records, wherein the operation definition module generates data flow directions based on the association relationship records. The interface generation system as described in claim 1, wherein the data analysis module performs qualitative analysis on the metadata group according to the built-in rules, and the The data analysis module performs statistics on the data stored in the storage device to generate statistical data, so that the data analysis module adjusts the built-in rules according to the statistical data. The interface generation system of claim 1, wherein the data analysis module includes an element parsing module, and the processor executes the element parsing module, wherein the element parsing module converts the metadata group according to the data Types are divided into database type data and non-database type data. The interface generation system according to claim 3, wherein the data analysis module further includes a text analysis module, a graphics analysis module, a layout analysis module and a color matching analysis module, and the processor executes the text analysis module, the graphics analysis module, the layout analysis module and the color matching analysis module, wherein the text analysis module separates the non-database type data into text data and graphics data, and the The text parsing module associates the text data and associated relationship records according to the built-in rules, wherein the graphics parsing module filters out identifiable graphic data based on the graphics data, and the layout parsing module cuts the identifiable graphic data Graphic data is used to generate a plurality of cutting graphic data, and the color matching analysis module generates a plurality of corresponding color data according to the plurality of cutting graphic data. The interface generation system of claim 4, wherein the recording module includes a component module and a dynamic preview module, and the processor executes the component module and the dynamic preview module, The component 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. The interface generation system according to claim 5, wherein the recording module further includes an action module, an interaction module and an interface template library, and the processor executes the action module and the interaction module, wherein The action module modifies the action data of the preview interface according to the user's operation, the interaction module modifies the interaction data of the preview interface according to the user's operation, and the component module modifies the component according to the user's operation. The data component, wherein the interface template library generates the configuration interface and the business logic based on the preview interface, the action data, the interaction data and the data component. The interface generation system according to claim 1, wherein the inverse parsing module includes an interface element model and an element code generation module, and the processor executes the interface element model and the element code generation module, wherein The interface element model converts the interface and the business logic into corresponding functional plug-in data, and the element code generation module converts the interface and the functional plug-in data into interface code, and the interface code is The interface code of the data. The interface generation system according to claim 7, wherein the inverse analysis module includes a data calibration module, an interface data model and a data interface generation module, And the processor executes the data calibration module, the interface data model and the data interface generation module, wherein the data calibration module obtains consistent data according to the business logic, and the consistent data is the Data in the data that conforms to the business logic, wherein the interface data model generates a data path corresponding to the interface based on the conforming data and the interface, and the data interface generation module converts the data path into the The interface data includes back-end code that responds to the data. The interface generation system as claimed in claim 8, further comprising an interface device and a smart recommendation module, and the processor executes the smart recommendation module, wherein the interface device generates the system according to the interface code and the backend The code generates an interface corresponding to the business logic, and the smart recommendation module adjusts the configuration rules of the interface and the data components according to user behavior data, wherein the data docking module includes an input module, and the The input module displays the historical data corresponding to the viewing instruction according to the viewing instruction. An interface generation method, including: inputting data source information into a data docking module to generate a metadata group; analyzing the metadata group according to built-in rules to generate data components; and generating configurations based on operation data corresponding to the data components interface and business logic; and generating corresponding interface data according to the configuration interface and the business logic, The step of analyzing the metadata group according to the built-in rules to generate the data component also includes: performing data cleaning processing on the database type data through a database parsing module to generate data objects; using a data fuzzy matching module Record the relationship of the data object according to the built-in rules to generate data and association relationship records; and generate a data flow direction according to the association relationship records through the operation definition module. The interface generation method according to claim 10, wherein the step of analyzing the metadata group according to the built-in rules to generate the data component includes: qualitatively analyzing the metadata group according to the built-in rules; and Statistics are performed on the data stored in the storage device to generate statistical data, so as to adjust the built-in rules according to the statistical data. The interface generation method as described in claim 10, wherein the step of analyzing the metadata group according to the built-in rules to generate the data component includes: dividing the metadata group according to the data type through an element parsing module. Database type data as well as non-database type data. The interface generation method as described in claim 12, wherein the step of analyzing the metadata group according to the built-in rules to generate the data component further includes: separating the non-database type data into text through a text parsing module data and graphic data; associate the text data and association records through the text parsing module according to the built-in rules; filter out identifiable graphic data according to the graphic data through the graphics parsing module; use the layout parsing module Cutting the identifiable graphic data to generate a plurality of cutting graphic data; and generating a plurality of corresponding color data according to the plurality of cutting graphic data through a color matching analysis module. The interface generation method as described in claim 10, wherein the step of generating the configuration interface and the business logic according to the operation data corresponding to the data component further includes: using a component module according to the data flow direction and the The associated data in the metadata group generates template data; and a dynamic preview module generates a preview interface based on the template data, preset interaction data and preset action data. The interface generation method as described in claim 14, wherein the step of generating the interface and the business logic according to the operation data corresponding to the data component further includes: modifying the preview according to user operation actions through an action module Action data of the interface; modify the interaction of the preview interface according to the user's operation through the interaction module data; modify the data component according to the user operation component through the component module; and generate the configuration interface according to the preview interface, the action data, the interaction data and the data component through the interface template library; The business logic. The interface generation method according to claim 10, 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 functions through an interface element model Plug-in data; convert the interface and function plug-in data into interface code through an element code generation module, and the interface code is an interface code without data. The interface generation method as described in claim 16, wherein the step of generating the corresponding interface data according to the interface and the business logic further includes: obtaining matching data according to the business logic through a data calibration module, and the matching The data is the data in the data that conforms to the business logic; the interface data model is used to generate a data path corresponding to the interface according to the consistent data and the interface; and the data interface generation module is used to convert the data path into The interface data includes back-end code that responds to the data. The interface generation method according to claim 17, wherein the step of generating the corresponding interface data according to the interface and the business logic further includes: generating the corresponding interface data according to the interface code and the back-end code through an interface device. The interface of the business logic; adjusting the configuration rules of the interface and the data components according to the user behavior data through the smart recommendation module; and displaying the corresponding view according to the view instruction through the input module of the data docking module Historical data for instructions.

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