CN116185372A - Back-end source code generation method, device, equipment and storage medium - Google Patents

Abstract

The application discloses a method, a device, equipment and a storage medium for generating back-end source codes, which are applied to a low-code development platform and relate to the field of software development, and the method comprises the following steps: designing an initial form based on user requirements, and configuring corresponding authority and a flow engine of the initial form to generate a corresponding target data table in a background database; the target data table comprises an initial form data table, a permission information table and a flow data table; selecting an application to be subjected to secondary development and a plurality of form data tables positioned in a target data table, and determining association relations among the plurality of form data tables based on machine learning; constructing a corresponding template file based on a plurality of form data tables and association relations by using a preset template technology; and generating back-end source codes required by secondary development according to the form data tables and the template files. Therefore, the method and the device can realize the back-end code output of the system, can be used for rapidly developing and expanding functions for the second time, and reduce development cost and development period.

Description

A back-end source code generation method, device, equipment and storage medium

technical field

The invention relates to the field of software development, in particular to a back-end source code generation method, device, equipment and storage medium.

Background technique

At present, the low-code development platform has become popular, and users can quickly customize their own low-code development environment and generate applications according to their own business without coding or with a small amount of code. In some cases, customers need personalized customization, the original platform cannot meet the needs, and at the same time they hope to be able to develop quickly, which requires the low-code development platform to have the ability to support the customer's secondary development, and the low-code platform needs to be able to have front-end and back-end The ability to code. Customers only need to copy the coded files from the low-code platform into their own projects, and then they can perform preliminary visual rendering of components and have CRUD (addition, deletion, modification, query) capabilities for forms. Currently, most of the low-code platforms on the market have a framework structure with front-end and back-end separation. The front-end development technologies include VUE, React, etc., and there are also rich coding technologies, among which Ali's Lowcode-Engine is more representative. Most of the back-end development is developed using Java technology, but there is no perfect technical system in terms of background service coding.

Contents of the invention

In view of this, the purpose of the present invention is to provide a back-end source code generation method, device, equipment and storage medium, which can realize fast and effective code output. The specific plan is as follows:

In the first aspect, this application discloses a method for generating back-end source code, which is applied to a low-code development platform, including:

Design an initial form based on user requirements and configure the corresponding permissions and process engine of the initial form to generate a corresponding target data table in the background database; the target data table includes an initial form data table, a permission information table, and a process data table;

Selecting the application to be secondary developed and several form data tables located in the target data table, and determining the association relationship among the several form data tables based on machine learning;

Using preset template technology to construct corresponding template files based on the several form data tables and the association relationship;

The back-end source code needed for secondary development is generated according to the several form data tables and the template file.

Optionally, designing the initial form based on user requirements and configuring the corresponding authority and process engine of the initial form to generate a corresponding target data table in the background database, including:

Design the initial form in the design state of the low-code platform based on the user requirements, configure the corresponding permissions and process engine of the initial form, and release the designed initial form to the running state, so that in the running state A corresponding target data table is generated in the background database.

Optionally, the selection of the application to be secondary developed and several form data tables located in the target data table includes:

The application to be secondary developed and the several form data tables located in the target data table are selected through a web interface or directly from the background database.

Optionally, the machine learning-based determination of the association relationship between the several form data tables includes:

The association rule algorithm based on the machine learning obtains the relationship of the item sets in the database through an iterative method of layer-by-layer search, so as to determine the association relationship between the plurality of form data tables according to the relationship of the item sets; Wherein, each item set contains several items, and a field in the data table is an item.

Optionally, the generating the back-end source code required for secondary development according to the several form data sheets and the template file includes:

Utilize code generator to generate the described back-end source code that secondary development needs according to described several sheet data tables and described template file; Described back-end source code comprises the Java file that is responsible for data processing, is used for carrying out the structured Query language files, data table Mapper files, and configuration files.

Optionally, after generating the back-end source code required for secondary development according to the several form data sheets and the template file, it also includes:

Based on the structured query language file, materialize the database table required for the secondary development on the client to store the data required for the secondary development operation; the database table includes several forms, permissions, and engines and system configuration.

Optionally, after generating the back-end source code required for secondary development according to the several form data sheets and the template file, it also includes:

Build a SpringBoot project on the client side, import the configuration file and the back-end source code into the SpringBoot project to implement compilation and operation.

In the second aspect, this application discloses a device for generating back-end source code, which is applied to a low-code development platform, including:

The data table generating module is used to design an initial form based on user needs and configure the corresponding authority and process engine of the initial form, so as to generate a corresponding target data table in the background database; the target data table includes an initial form data table, authority Information sheets and process data sheets;

A relationship determination module, configured to select an application to be developed for secondary development and several form data tables located in the target data table, and determine the association relationship between the several form data tables based on machine learning; the data The table includes the plurality of form data tables;

A template file construction module, configured to construct a corresponding template file based on the plurality of form data tables and the association relationship using a preset template technology;

The source code generation module is used to generate the back-end source code required for secondary development according to the several form data sheets and the template file.

In a third aspect, the present application discloses an electronic device, comprising:

memory for storing computer programs;

A processor, configured to execute the computer program to implement the aforementioned back-end source code generation method.

In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program, and when the computer program is executed by a processor, the aforementioned back-end source code generation method is implemented.

It can be seen from the above that when the application generates the back-end source code, it first designs the initial form based on user needs and configures the corresponding authority and process engine of the initial form to generate the corresponding target data table in the background database; the target data The table includes an initial form data table, a permission information table, and a process data table; select the application to be developed for secondary development and several form data tables located in the target data table, and determine the several form data tables based on machine learning relationship between them; use the preset template technology to build corresponding template files based on the several form data tables and the association relationship; generate the post-processing required for secondary development according to the several form data tables and the template file Terminal source code. It can be seen that this application is developed on a low-code platform to realize the back-end code output of the system, which can be used for rapid secondary development and expansion functions, reducing development costs and development cycles. At the same time, the system uses a rule algorithm based on machine learning to quickly and effectively analyze the relationship between the input data tables and improve the accuracy of template generation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a flow chart of a method for generating back-end source codes disclosed in the present application;

Fig. 2 is a schematic diagram of a data set disclosed in the present application;

FIG. 3 is a schematic diagram of an association relationship table of a low-code development platform disclosed in the present application;

FIG. 4 is a schematic diagram of a low-code development platform outputting frequent items disclosed in the present application;

Fig. 5 is a flow chart of a method for generating back-end source code disclosed in the present application;

FIG. 6 is a schematic diagram of a back-end source code generation device disclosed in the present application;

FIG. 7 is a structural diagram of an electronic device disclosed in the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Currently, most of the low-code platforms on the market have a framework structure with front-end and back-end separation. The front-end development technologies include VUE, React, etc., and there are also rich coding technologies, among which Ali's Lowcode-Engine is more representative. Most of the back-end development is developed using Java technology, but there is no perfect technical system in terms of background service coding. In order to solve the above technical problems, the present application provides a method for generating back-end source code, which can effectively generate the back-end source code for secondary development and directly use it for development.

Referring to Figure 1, the embodiment of the present invention discloses a method for generating back-end source code, which is applied to a low-code development platform, including:

Step S11, designing an initial form based on user requirements and configuring the corresponding permissions and process engine of the initial form to generate a corresponding target data table in the background database; the target data table includes an initial form data table, a permission information table, and a process data sheet.

In this embodiment, based on the user requirements, the initial form is designed in the design state of the low-code platform and the corresponding permissions and process engines of the initial form are configured, and the designed initial form is published to the running state for A corresponding target data table is generated in the background database in the running state. That is, according to customer needs, form design is carried out in the low-code platform design state, and permission control and process engine can be further configured as needed. After the design is completed in the design state and released to the running state, the corresponding data tables will be generated in the background database of the running state, including form data tables, corresponding permission information tables, and process data tables.

Step S12, selecting the application to be secondary developed and several form data tables located in the target data table, and determining the association relationship among the several form data tables based on machine learning.

In this embodiment, the application to be secondary developed and the several form data tables located in the target data table are selected through a web interface or directly from the background database. And based on the association rule algorithm of the machine learning, the relationship of the item sets in the database is obtained through an iterative method of layer-by-layer search, so as to determine the association relationship between the plurality of form data tables according to the relationship of the item sets ; Wherein, each item set contains several items, and a field in the data table is an item. It is to select the application and multiple forms a, b, c, d that the customer needs for secondary development through the web interface or directly from the database. Taking multiple data tables of a, b, c, and d as input, according to the association rule algorithm of machine learning, find out the relationship between the item sets in the database through the iterative method of layer-by-layer search to form rules, so as to sort out multiple data sheets Relationships between tables, including but not limited to the following relationships: parent-child dependency and commonly used subcomponents.

At present, the most commonly used association rule algorithms for machine learning are Apriori (frequent itemset algorithm for mining association rules) algorithm and FP-growth (Frequent Pattern, frequent pattern growth) algorithm. The former scans the database multiple times, and uses the candidate frequent sets to generate frequent sets each time; the latter uses the tree structure to directly obtain the frequent sets, which reduces the number of times to scan the database, thereby improving the efficiency of the algorithm. To use the Apriori algorithm in this low-code development, you first need to construct a data set as shown in Figure 2. Each corresponding data table is defined as a transaction, each field in the data table is called an item, and a collection containing zero or more items is called an item set, such as {id1, input1, address1, radio1, parentid1}, An itemset containing k items is called a k-itemset. For example, {id1, input1, address1, radio1, parentid1} is called a 1-itemset, and {id3, parentid1, checkbox3} is called a 3-itemset. For the antecedent and the aftermath of a rule, {parentid} is called the antecedent, and {input}, etc. are called the aftermath. And then analyze the indicators through support, confidence and promotion. Here, the id3 value of transaction c is equal to the parentid of transaction a and transaction b. The support degree is the proportion of records in the data set that contain the itemset, indicating the proportion of transactions that contain both a and b in all transactions; the credibility is defined for an association rule, which means that the transactions that contain a and b at the same time The proportion of transactions containing b, that is, the proportion of transactions containing both a and b to transactions containing a. The design of the association relationship table of the low-code development platform is shown in Figure 3. In the figure, IMPLIES represents correlation from left to right. The lift degree represents the ratio of "the proportion of transactions that include a and transactions that also include b" to "the ratio of transactions that include b". In the case of multiple tables with a large amount of data, the relevant library files are directly called through the python script, and the frequent item parent class and common components are output through the confidence call, as shown in Figure 4. It can be seen that the present application adopts a rule algorithm based on machine learning to quickly and effectively analyze the relationship between input data tables and improve the accuracy of template generation. This advantage is more obvious especially in the case of a huge amount of input form data that requires secondary development.

Step S13, using preset template technology to construct corresponding template files based on the several form data tables and the association relationship.

In this embodiment, a plurality of data tables and their associations are taken as input, and a corresponding template file is constructed according to the velocity template technology. The form uses a unified CURD template file. Create separate templates for parent and common component classes.

Step S14, generating the back-end source code needed for secondary development according to the several form data sheets and the template file.

In this embodiment, a code generator is used to generate the back-end source code needed for secondary development according to the several form data tables and the template file; the back-end source code includes a Java file responsible for data processing, for performing Structured query language files, data table Mapper files, and configuration files for materialized processing. That is to use the code generator (code generator) to generate the source code required for secondary development, including the Java file responsible for CRUD, the SQL (Structured Query Language) file that needs to be materialized, the data table Mapper file, and the configuration file pom. xml, bootstrap.yml, etc. In the configuration file pom.xml, add SpringBoot and Spring Cloud related dependencies to support microservices, so that the source files required for secondary development are ready. After generating the back-end source code required for secondary development according to the several form data tables and the template file, it also includes: based on the structured query language file, performing the database table required for secondary development on the client side Materialized processing to store the data required for the secondary development and operation; the database tables include several forms, permissions, engines and system configurations. That is to say, the next step is to build a secondary development project, and select different servers according to the different scale requirements of customer deployment. In a specific embodiment, if it only supports concurrent access by users with less than a thousand users, you can deploy 16c32G memory and 500G hard disk, install an operating system on this server, and choose centos7.6 or above. Then do a good job of environment initialization, after configuring the firewall and other networks, install JDK and basic components such as database mariadb, microservice configuration center nacos, redis database cache and front-end nginx web server. After the secondary development server is set up, the SQL file generated by the code generator is imported into the server-side database, and the database tables (including forms, permissions, engines, system configurations, etc.) required for secondary development are materialized in the database for use in Store the data needed for the second run.

After generating the back-end source code required for secondary development according to the several form data tables and the template file, it also includes: building a SpringBoot project on the client side, importing the configuration file and the back-end source code into the Describe the SpringBoot project to implement compilation and operation. That is, finally create a new SpringBoot project on the client side of the secondary development, copy in the configuration files pom.xml and bootstrap.yml, and the code generator has generated all source code files according to the configuration file requirements. After copying into the secondary development project, compile and run directly in the client project to achieve out-of-the-box use, and then perform faster secondary development.

It can be seen from the above that when the application generates the back-end source code, it first designs the initial form based on user needs and configures the corresponding authority and process engine of the initial form to generate the corresponding target data table in the background database; the target data The table includes an initial form data table, a permission information table, and a process data table; select the application to be developed for secondary development and several form data tables located in the target data table, and determine the several form data tables based on machine learning relationship between them; use the preset template technology to build corresponding template files based on the several form data tables and the association relationship; generate the post-processing required for secondary development according to the several form data tables and the template file Terminal source code. It can be seen that this application is developed on a low-code platform to realize the back-end code output of the system, which can be used for rapid secondary development and expansion functions, reducing development costs and development cycles. At the same time, the system uses a rule algorithm based on machine learning to quickly and effectively analyze the relationship between the input data tables and improve the accuracy of template generation.

Referring to Figure 5, this application discloses a method for generating back-end source code, which is applied to a low-code development platform, including:

In this embodiment, in view of the currently existing low-code platform back-end code output problem, this application provides an effective code output capability, through which developers can quickly and effectively output code. The main steps of this application are as follows: First, according to customer needs, design the form in the low-code platform design state. Permissions and process engines can be further configured if required. After the design is completed in the design state and released to the running state, the corresponding data tables will be generated in the background database of the running state, including form data tables, corresponding permission information tables, and process data tables. Then select the application and multiple forms that the customer needs for secondary development. Taking multiple data tables generated in the running state as input, according to the association rule algorithm of machine learning, find out the relationship between item sets in the database through the iterative method of layer-by-layer search to form rules, so as to sort out the relationship between multiple data tables Association relationships, including but not limited to the following relationships: including parent-child dependencies; subcomponents that are used together. Then multiple data tables and their associations are taken as input, and corresponding template files are constructed according to the velocity/freeMaker template technology. Then use the code generator to generate the source code required for secondary development, including the Java file responsible for CURD, the SQL file that needs to be materialized, the data table Mapper file, and the configuration file. And according to the generated SQL file, the database tables (including forms, permissions, engines, system configurations, etc.) required for secondary development are materialized on the client side. Finally build the customer project, import the source code files generated by the code generator, compile and run to realize out-of-the-box use, and then carry out more rapid secondary development.

That is to say, this application designs the initial form according to the user's needs and configures the corresponding authority and process engine of the form, then extracts the corresponding running state form database table as data input, and uses the algorithm based on machine learning rules to identify the relationship between the input data tables , and then generate corresponding template files more quickly in the template module according to these relationships, generate the back-end source code required for secondary development in the code output module according to the database form data and template files, and materialize the database tables required for secondary development, and finally Combined with the files generated by the front-end code output, they are imported into customer projects for effective secondary development of personalized customization.

It can be seen from the above that this application is developed on a low-code platform to realize the back-end code output of the system, which can be used for rapid secondary development and expansion functions, reducing development costs and development cycles. At the same time, the system uses a rule algorithm based on machine learning to quickly and effectively analyze the relationship between the input data tables and improve the accuracy of template generation. This advantage is more obvious especially in the case of a huge amount of input form data that requires secondary development.

Referring to Figure 6, the embodiment of the present invention discloses a back-end source code generation device, which is applied to a low-code development platform, including:

The data table generation module 11 is used to design an initial form based on user needs and configure the corresponding authority and process engine of the initial form to generate a corresponding target data table in the background database; the target data table includes an initial form data table, Permission information table and process data table;

The relationship determination module 12 is used to select the application to be developed and several form data tables located in the target data table, and determine the association relationship between the several form data tables based on machine learning; The data table includes the plurality of form data tables;

A template file construction module 13, configured to construct a corresponding template file based on the several form data tables and the association relationship using a preset template technology;

The source code generation module 14 is used to generate the back-end source code required for secondary development according to the several form data sheets and the template file.

It can be seen from the above that when the application generates the back-end source code, it first designs the initial form based on user needs and configures the corresponding authority and process engine of the initial form to generate the corresponding target data table in the background database; the target data The table includes an initial form data table, a permission information table, and a process data table; select the application to be developed for secondary development and several form data tables located in the target data table, and determine the several form data tables based on machine learning relationship between them; use the preset template technology to build corresponding template files based on the several form data tables and the association relationship; generate the post-processing required for secondary development according to the several form data tables and the template file Terminal source code. It can be seen that this application is developed on a low-code platform to realize the back-end code output of the system, which can be used for rapid secondary development and expansion functions, reducing development costs and development cycles. At the same time, the system uses a rule algorithm based on machine learning to quickly and effectively analyze the relationship between the input data tables and improve the accuracy of template generation.

In some specific embodiments, the data table generating module 11 may specifically include:

The target data table generation unit is used to design the initial form in the design state of the low-code platform based on the user requirements, configure the corresponding permissions and process engines of the initial form, and release the designed initial form to the running state , so as to generate a corresponding target data table in the background database in the running state.

In some specific embodiments, the relationship determining module 12 may specifically include:

The data table selection unit is configured to select the application to be secondary developed and the several form data tables located in the target data table through a web interface or directly from the background database.

In some specific embodiments, the relationship determining module 12 may specifically include:

A relationship determination unit, configured to obtain the relationship between the item sets in the database through an iterative method of layer-by-layer search based on the association rule algorithm of the machine learning, so as to determine the relationship between the several form data tables according to the relationship of the item sets. The association relationship; wherein, each item set contains several items, and one field in the data table is one item.

In some specific embodiments, the source code generation module 14 may specifically include:

A source code generating unit is used for utilizing a code generator to generate the back-end source code needed for secondary development according to the several form data tables and the template file; the back-end source code includes a Java file responsible for data processing, for Structured query language files, data table Mapper files, and configuration files for materialized processing.

In some specific embodiments, the source code generation module 14 may also include:

The materialization processing unit is used to materialize the database table required for the secondary development on the client side based on the structured query language file, so as to store the data required for the secondary development operation; the database table includes several forms, permissions, engines, and system configuration.

In some specific embodiments, the source code generation module 14 may also include:

The project building unit is used to build a SpringBoot project on the client, and import the configuration file and the back-end source code into the SpringBoot project to implement compilation and operation.

Further, the embodiment of this application also discloses an electronic device. FIG. 7 is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the figure should not be considered as any limitation on the application scope of this application.

FIG. 7 is a schematic structural diagram of an electronic device 20 provided by an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21 , at least one memory 22 , a power supply 23 , a communication interface 24 , an input/output interface 25 and a communication bus 26 . Wherein, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement relevant steps in the back-end source code generation method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows is applicable Any communication protocol in the technical solution of the present application is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the external, and its specific interface type can be selected according to specific application needs, here Not specifically limited.

In addition, the memory 22, as a resource storage carrier, can be a read-only memory, random access memory, magnetic disk or optical disk, etc., and the resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage .

Wherein, the operating system 221 is used to manage and control each hardware device and computer program 222 on the electronic device 20, and it can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program 222 that can be used to complete the back-end source code generation method performed by the electronic device 20 disclosed in any of the foregoing embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the above-mentioned disclosed back-end source code generation method is implemented. Regarding the specific steps of the method, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not repeated here.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

Professionals can further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the possible For interchangeability, in the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The technical solution provided by this application has been introduced in detail above, and specific examples have been used in this paper to illustrate the principle and implementation of this application. The description of the above embodiments is only used to help understand the method and core idea of this application; At the same time, for those skilled in the art, based on the idea of this application, there will be changes in the specific implementation and application scope. In summary, the content of this specification should not be construed as limiting the application.

Claims (10)

1. A method for generating back-end source code, characterized in that it is applied to a low-code development platform, comprising: Design an initial form based on user requirements and configure the corresponding permissions and process engine of the initial form to generate a corresponding target data table in the background database; the target data table includes an initial form data table, a permission information table, and a process data table; Selecting the application to be secondary developed and several form data tables located in the target data table, and determining the association relationship among the several form data tables based on machine learning; Using preset template technology to construct corresponding template files based on the several form data tables and the association relationship; The back-end source code needed for secondary development is generated according to the several form data tables and the template file. 2. The back-end source code generation method according to claim 1, wherein the initial form is designed based on user requirements and the corresponding authority and process engine of the initial form are configured to generate corresponding target data in the background database table, including: Design the initial form in the design state of the low-code platform based on the user requirements, configure the corresponding permissions and process engine of the initial form, and release the designed initial form to the running state, so that in the running state A corresponding target data table is generated in the background database. 3. The back-end source code generation method according to claim 1, wherein the selection of the application to be developed for secondary development and several form data tables in the target data table includes: The application to be secondary developed and the several form data tables located in the target data table are selected through a web interface or directly from the background database. 4. The method for generating back-end source code according to claim 1, wherein said determining the association relationship between said several form data tables based on machine learning comprises: The association rule algorithm based on the machine learning obtains the relationship of the item sets in the database through an iterative method of layer-by-layer search, so as to determine the association relationship between the plurality of form data tables according to the relationship of the item sets; Wherein, each item set contains several items, and a field in the data table is an item. 5. The method for generating back-end source code according to any one of claims 1 to 4, wherein the back-end source code required for secondary development is generated according to the plurality of form data sheets and the template file, including : Utilize code generator to generate the described back-end source code that secondary development needs according to described several sheet data tables and described template file; Described back-end source code comprises the Java file that is responsible for data processing, is used for carrying out the structuralization of materialized processing Query language files, data table Mapper files, and configuration files. 6. The back-end source code generation method according to claim 5, characterized in that, after generating the back-end source code required for secondary development according to the plurality of form data tables and the template file, further comprising: Based on the structured query language file, materialize the database table required for the secondary development on the client to store the data required for the secondary development operation; the database table includes several forms, permissions, and engines and system configuration. 7. The method for generating back-end source code according to claim 5, characterized in that, after generating the back-end source code needed for secondary development according to the plurality of form data sheets and the template file, further comprising: Build a SpringBoot project on the client side, import the configuration file and the back-end source code into the SpringBoot project to implement compilation and operation. 8. A back-end source code generation device, characterized in that it is applied to a low-code development platform, including: The data table generating module is used to design an initial form based on user needs and configure the corresponding authority and process engine of the initial form, so as to generate a corresponding target data table in the background database; the target data table includes an initial form data table, authority Information sheets and process data sheets; A relationship determination module, configured to select an application to be developed for secondary development and several form data tables located in the target data table, and determine the association relationship between the several form data tables based on machine learning; the data The table includes the plurality of form data tables; A template file construction module, configured to construct a corresponding template file based on the plurality of form data tables and the association relationship using a preset template technology; The source code generation module is used to generate the back-end source code required for secondary development according to the several form data sheets and the template file. 9. An electronic device, characterized in that it comprises: memory for storing computer programs; A processor, configured to execute the computer program to realize the method for generating back-end source code according to any one of claims 1-7. 10. A computer-readable storage medium, characterized in that it is used to store a computer program, and when the computer program is executed by a processor, the back-end source code generation method according to any one of claims 1 to 7 is implemented.

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