Method for realizing data binding and code generation based on Qt plug-in technology
Through the visual binding method based on Qt plug-in technology, the repetitive code problem of interface controls and data source binding in software development is solved, efficient code generation and update are achieved, and development efficiency and code quality are improved.
Patent Information
- Application Number
- CN202510482191.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-07-04
AI Technical Summary
In existing software development, the binding of interface controls and data sources requires manual writing of a large amount of code, which leads to inefficiency, error-prone, and lacks visual binding tools, poor development experience, and manual synchronization modification of the binding code after the data model is changed.
Based on Qt plug-in technology, the Qt Creator extension plug-in is developed, and the plug-in parses the database file to generate a visual data view. It supports drag and drop operations to establish a binding relationship between the interface control and the data source, automatically generates a JSON data model and compiles the binding code, and uses file hash value comparison to achieve incremental updates.
Through a graphical interface, the drag-and-drop connection between controls and data fields is realized, avoiding manual writing of duplicate code, improving development efficiency, reducing labor costs, shortening compilation time, reducing error rates, and supporting multi-platform deployment and data model sharing.
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Figure CN120255871A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of computer programming, and particularly relates to a method for implementing data binding and code generation based on Qt plug-in technology. Background Art
[0002] In early software development, manually writing a large amount of code was often required for binding interface controls and data sources, which not only increased the development difficulty but also was prone to errors.
[0003] In current software development, interface controls and data sources mostly rely on manual coding, resulting in low efficiency in writing repetitive code, being prone to errors, high coupling between business logic and the interface, difficult maintenance, and a lack of visual binding tools, leading to a poor development experience. Moreover, when the data model changes, manual synchronization and modification of the binding code are required. Existing Qt plug-in technologies are mostly used for function extension, and there is no mature solution that combines visual data binding and automated code generation.
[0004] To solve the above problems, a method for implementing data binding and code generation based on Qt plug-in technology can be designed. Summary of the Invention
[0005] In order to overcome the problems of low efficiency in writing repetitive code and low development efficiency in existing software development, the present invention proposes a method for implementing data binding and code generation based on Qt plug-in technology.
[0006] The technical solution of the present invention is as follows: A method for implementing data binding and code generation based on Qt plug-in technology, comprising the following steps:
[0007] S1, Develop a Qt Creator extension plug-in to achieve dynamic loading and registration;
[0008] S2, Parse the database file through the plug-in to generate a visual data view;
[0009] S3, Provide a visual binding interface through the above steps, supporting drag-and-drop operations to establish the binding relationship between interface controls and data sources;
[0010] S4, Automatically generate a JSON data model;
[0011] S5, Compile and generate binding code according to the JSON data model and register it;
[0012] S6, Implement code incremental update through file hash value comparison.
[0013] Preferably, the dynamic loading and registration steps include: integrating a custom module wizard in Qt Creator to automatically create a project template with database binding configuration, generating a structured data model through a JSON parser, and dynamically registering it into the IDE environment.
[0014] Preferably, the steps for generating the visual data view include: adding a data visualization view panel in the IDE to display bindable data elements, supporting the loading of data sources from the database, and displaying them in a tree structure or list form.
[0015] Preferably, the steps for implementing the visual binding interface include: adding a UI screen and data source binding panel in the IDE, and associating controls with data fields through drag-and-drop operations to generate binding configuration information.
[0016] Preferably, the steps for generating the JSON data model include: automatically generating a hierarchical JSON configuration file based on the relationship between the controls and data sources bound by the user, and performing syntax verification and legality checks on the JSON file.
[0017] Preferably, the steps for generating the binding code include:
[0018] S1, parsing the JSON data model to extract the binding relationship;
[0019] S2, automatically generating C++ code, including control initialization, data source registration, and event handling logic;
[0020] S3, integrating the generated code into the project and compiling and registering it.
[0021] Preferably, the incremental update steps include:
[0022] S1, detecting changes by calculating the file hash value;
[0023] S2, only regenerating the affected binding code to shorten the compilation time.
[0024] Preferably, the method supports cross-platform deployment, including Windows, Linux, and macOS, and the generated code is compatible with the Qt framework.
[0025] Preferably, the method supports sharing a unified data model definition with non-Qt systems and realizes data interaction through a JSON configuration file.
[0026] Preferably, the method further includes:
[0027] A database parsing plugin module, which is responsible for loading and parsing database files to generate a structured data model;
[0028] The visual binding editor module provides a graphical interface that supports drag-and-drop operations to complete the binding of controls to data sources;
[0029] The code automatic generation module generates C++ code according to the binding relationship and integrates it into the project.
[0030] Advantages of the present invention:
[0031] 1. Through the graphical interface integrated in the IDE, it supports the drag-and-drop connection of controls and data fields, avoiding the manual writing of repetitive code. By detecting changes through file hash values, only the affected code is regenerated, shortening the compilation time, significantly improving the development efficiency, and reducing the labor cost.
[0032] 2. The present invention combines various verification methods such as legal verification of json syntax rules and the method of automatically generating code to eliminate the error rate problem caused by manual coding.
[0033] 3. The configuration of the present invention has improved readability and reduced maintenance cost.
[0034] 4. The present invention supports multi-platform deployment such as Windows, Linux, and macOS based on Qt plug-in technology, with high scalability.
[0035] 5. The present invention supports sharing a unified data model definition with non-Qt systems. Description of the Drawings
[0036] Figure 1 Shown is a schematic diagram of the working process of the present invention;
[0037] Figure 2 Shown is a schematic diagram of the module structure of the present invention;
[0038] Figure 3 Shown is a schematic diagram of the data binding editor panel of the present invention;
[0039] Figure 4 Shown is a schematic diagram of the data library source panel of the present invention;
[0040] Figure 5 Shown is a schematic diagram of the interface for generating and registering data source binding code of the present invention. Detailed Embodiments
[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0042] Please refer to Figure 1 , the present invention provides an embodiment: a method for implementing data binding and code generation based on Qt plug-in technology, including the following steps:
[0043] S1, Develop a Qt Creator extension plug-in to achieve dynamic loading and registration;
[0044] S2, Parse the database file through the plug-in to generate a visual data view;
[0045] S3, Provide a visual binding interface through the above steps, supporting drag-and-drop operations to establish the binding relationship between interface controls and data sources;
[0046] S4, Automatically generate a JSON data model;
[0047] S5, Compile and generate binding code according to the JSON data model and register it;
[0048] S6, Realize code incremental update through file hash value comparison.
[0049] Furthermore, the development and registration of the Qt Creator extension plug-in are described in detail.
[0050] Create a plug-in project in the Qt Creator development environment, select the "Qt Creator Plugin" project template, configure the plug-in metadata information, then set the plug-in unique identifier and classification information to ensure that it can be correctly recognized and loaded by Qt Creator;
[0051] Realize the integration of the plug-in with the Qt Creator main interface, including user interface elements such as menu items and toolbar buttons;
[0052] Prepare a standard project directory structure template, including preset data directories, view directories, and generated code directories, then implement the project wizard extension, add a data binding project option in the new project dialog box, and finally configure the CMake / qmake build script template to preset the build rules and dependencies related to code generation.
[0053] Furthermore, the database parsing and processing process is described in detail.
[0054] Implement a database file selection dialog box, support users to specify data source files in JSON / XML format, and establish a file system monitor to monitor the modification of the database file in real time. Design a file change processing mechanism to automatically trigger re-parsing after detecting file modification.
[0055] Implement a JSON / XML parser to read the content of the database file and convert it into an in-memory data structure, and design data verification rules to check the validity of key information such as field names, data types, and unique identifiers.
[0056] Furthermore, provide a detailed description of the implementation of the visual binding interface.
[0057] Create a dock window in the main interface of Qt Creator to display the bindable data source fields. At the same time, implement a tree view control to hierarchically display the field structure of the data model, and build a list view of UI controls to show the available binding target controls in the current editing interface.
[0058] Enable drag-and-drop operation support for the data source view, configure appropriate drag-and-drop MIME types, implement a drag-and-drop receiving function for the UI control view to handle the drag-and-drop operations from the data source view, and design a visual feedback effect to display operation tips and validity indicators during the drag process.
[0059] Furthermore, provide a detailed description of code generation and compilation integration.
[0060] Prepare a code generation template file to define the structure and format of the binding code, implement a template variable substitution mechanism to support conditional judgment and loop control structures, and then design a template inheritance system that allows users to extend and customize the generated code style.
[0061] Second, parse the binding configuration of the current project, extract the code elements to be generated, and apply the code template to generate the final C++ source file, thereby handling all variable substitutions.
[0062] The steps of dynamic loading and registration include: integrating a custom module wizard in Qt Creator to automatically create a project template with database binding configuration, generating a structured data model through a JSON parser, and dynamically registering it into the IDE environment.
[0063] The steps of generating the visual data view include: adding a data visualization view panel in the IDE to display the bindable data elements, supporting the loading of data sources from the database, and displaying them in a tree structure or list form.
[0064] The steps of implementing the visual binding interface include: adding a UI screen and data source binding panel in the IDE, and associating controls with data fields through drag-and-drop operations to generate binding configuration information.
[0065] The steps of generating the JSON data model include: automatically generating a hierarchical JSON configuration file based on the relationship between the user-bound controls and data sources, and performing syntax verification and legality checks on the JSON file.
[0066] The steps for generating the binding code include:
[0067] S1, Parse the JSON data model and extract the binding relationships;
[0068] S2, Automatically generate C++ code, including control initialization, data source registration, and event handling logic;
[0069] S3, Integrate the generated code into the project and compile and register it.
[0070] The steps for incremental update include:
[0071] S1, Detect changes by calculating the file hash value;
[0072] S2, Only regenerate the affected binding code to shorten the compilation time.
[0073] The method supports cross-platform deployment, including Windows, Linux, and macOS, and the generated code is compatible with the Qt framework.
[0074] The method supports sharing a unified data model definition with non-Qt systems and realizes data interaction through a JSON configuration file.
[0075] Please refer to Figure 2 , The method also includes:
[0076] A database parsing plugin module, which is responsible for loading and parsing external data sources, such as JSON / XML files, and converting them into a structured data model, such as a tree structure or key-value pairs; its function is to read a database file, such as status.json, extract information such as field names, types, UIDs, etc., and register the data model into the IDE environment for the visual binding module to call.
[0077] A visual binding editor module, which provides a graphical interface and supports developers to bind UI controls to data source fields through drag-and-drop operations to generate binding configurations; its function is to display a list of bindable controls and data source fields, and generate binding relationships through drag-and-drop interactions, such as control A Field B, and save it as a JSON configuration file.
[0078] A code automatic generation module, which automatically generates compilable code according to the binding configuration to realize the dynamic association of data and controls; its function is to parse the JSON binding configuration, generate initialization code, and support incremental update. This incremental update only regenerates the code of the changed part, thereby improving the compilation efficiency.
[0079] For the comparison between the present invention and the prior art, please refer to the following table:
[0080]
[0081] Please refer to Figures 3 - 5 , the specific implementation of the present invention is as follows:
[0082] S1. Create a project to automatically generate the data and view directory structures;
[0083] S2. Design the UI screen;
[0084] S3. Open the data binding editor panel under the data view;
[0085] S4. Select the control and load the database to complete the data source binding operation;
[0086] S5. Open the data compilation panel under the data view, complete the automatic generation and registration of the data source binding code.
[0087] Furthermore, the present invention automatically generates the Json data model and code as follows:
[0088]
[0089] The core steps of the present invention are:
[0090] For the dynamic plug-in registration mechanism, it is specifically as follows:
[0091] First, develop a Qt Creator extension plug-in to achieve dynamic loading, register a custom module wizard in Qt Creator, automatically generate a project template with database binding configuration, use the integrated JSON parser to read the database file, such as the data.json file, and convert it into a structured data model. Finally, register the parsed data model into the IDE environment for subsequent modules to call.
[0092] For the visual binding module:
[0093] First, add a data visualization view panel in Qt Creator to display the bindable data source fields. The data source fields are in tree or list form. Add a UI control binding panel in Qt Creator to load the UI file of the current project, whose file suffix is.ui, and list all the bindable controls, such as QLineEdit and QComboBox. This module supports drag-and-drop operations. Users can drag the data fields to the target controls to establish a binding relationship. This module can automatically generate a binding configuration file, such as bindings.json, to store the mapping relationship between the controls and the data source.
[0094] For the code automatic generation:
[0095] First, parse the bindings.json file, extract the binding relationships between controls and data sources, and automatically generate C++ code according to the binding rules. This C++ code includes functions such as setDataSource() and registerBinding(). Then, insert the generated code into the specified location in the project, such as generated_bindings.cpp. Next, call the Qt compilation tool to compile the updated code. Finally, use the file hash value comparison technology to detect the changed parts and only regenerate the affected code to achieve incremental compilation.
[0096] For running and debugging:
[0097] First, start the application to automatically load the generated binding code. Then, verify whether the controls are bound to the data source as expected. For example, the input box displays the database field value. If the binding fails, roll back to the previous valid configuration and output an error log.
[0098] For cross-platform and data sharing:
[0099] The generated code is based on the Qt framework and automatically adapts to Windows, Linux, and macOS platforms;
[0100] Export the JSON data model for non-Qt systems (such as Python and Java) to read and use.
Claims
1. A method for implementing data binding and code generation based on Qt plug-in technology, characterized in that, It includes the following steps: S1. Develop a Qt Creator extension plugin to achieve dynamic loading and registration; S2. Parse the database file through the plugin to generate a visual data view; S3. Provide a visual binding interface through the above steps, supporting drag-and-drop operations to establish the binding relationship between interface controls and data sources; S4. Automatically generate a JSON data model; S5. Compile and generate binding code according to the JSON data model and register it; S6. Implement incremental code update through file hash value comparison.
2. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that The dynamic loading and registration steps include: integrating a custom module wizard in Qt Creator to automatically create a project template with database binding configuration, generating a structured data model through a JSON parser, and dynamically registering it into the IDE environment.
3. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that, The steps for generating the visual data view include: adding a data visualization view panel in the IDE to display bindable data elements, supporting loading data sources from the database, and displaying them in a tree structure or list form.
4. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that, The steps for implementing the visual binding interface include: adding a UI screen and data source binding panel in the IDE, and associating controls with data fields through drag-and-drop operations to generate binding configuration information.
5. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that, The steps for generating the JSON data model include: automatically generating a hierarchical JSON configuration file according to the relationship between the controls and data sources bound by the user, and performing syntax checking and legality checking on the JSON file.
6. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that, The steps for generating the binding code include: S1. Parse the JSON data model and extract the binding relationship; S2. Automatically generate C++ code, including control initialization, data source registration, and event handling logic; S3. Integrate the generated code into the project and compile and register it.
7. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that The incremental update steps include: S1. Detect changes by calculating the file hash value; S2. Only regenerate the affected binding code to shorten the compilation time.
8. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that: The method supports cross-platform deployment, including Windows, Linux, and macOS, and the generated code is compatible with the Qt framework.
9. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that: The method supports sharing a unified data model definition with non-Qt systems and realizes data interaction through a JSON configuration file.
10. A method for implementing data binding and code generation based on Qt plug-in technology according to claim 1, characterized in that, The method also includes: A database parsing plugin module, responsible for loading and parsing database files to generate a structured data model; A visual binding editor module, providing a graphical interface and supporting drag-and-drop operations to complete the binding of controls and data sources; A code automatic generation module, generating C++ code according to the binding relationship and integrating it into the project.
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