Method and system for realizing personalized analysis of JSON (JavaScript Object Notation) data

Abstract

The invention relates to the technical field of computers, in particular to an implementation method and system for individually analyzing JSON (JavaScript Object Notation) data, and the method comprises the following steps: configuring an analysis rule and a data processing rule: configuring a file definition field mapping rule, a data conversion rule and a data verification rule through the analysis rule, the field mapping rule establishes a mapping relation between a JSON data field and a target field, the data conversion rule specifies a data format conversion mode, and the data verification rule ensures the validity of data; the method and the system for realizing personalized JSON data analysis have the beneficial effects that a user can customize an analysis rule and a processing logic according to an actual demand, so that the flexibility of an analysis process is improved; the efficiency loss caused by a fixed analysis rule is reduced through a user-defined processing logic module; dynamically changing data structures and various data types are supported, and the method is suitable for different application scenes; an analysis framework easy to configure is provided, and the data analysis and processing process is simplified.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and system for implementing personalized parsing of JSON data. Background Art

[0002] JSON (JavaScript Object Notation) is a lightweight data exchange format, widely used for data transmission and storage in network communications.

[0003] Existing JSON parsing methods are usually fixed and lack flexibility, making it difficult to meet the personalized needs of different application scenarios. For example, when dealing with complex data structures, traditional parsing methods may not be able to adapt to the needs of different fields or dynamically changing structures.

[0004] In addition, existing parsing libraries generally do not provide an easy way for users to customize parsing rules or processing logic, which limits the application scope of JSON data. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for implementing personalized parsing of JSON data to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for implementing personalized parsing of JSON data, the method comprising the following steps:

[0007] Configure parsing rules and data processing rules: define field mapping rules, data conversion rules and data validation rules through the parsing rule configuration file. The field mapping rule establishes the mapping relationship between the JSON data field and the target field. The data conversion rule specifies the method of data format conversion. The data validation rule ensures the validity of the data.

[0008] Parsing JSON data: Use the data parsing module to parse JSON data according to the parsing rule configuration file, identify and extract different fields and types in the data;

[0009] Apply custom data processing logic: Through the custom data processing logic module, users write and apply custom data processing logic to further process and transform the parsed data.

[0010] Preferably, the method further comprises the following steps:

[0011] Integrate custom data processing logic module: Integrate custom data processing logic module with data parsing module through plug-in interface. Users can add and call additional data processing functions through plug-in interface to expand data processing capabilities.

[0012] Preferably, the method further comprises the following steps:

[0013] Extended parsing capabilities: Supports user-defined parsing function extensions through plug-in interfaces, including but not limited to supporting additional data formats and processing logic to meet different data processing requirements.

[0014] Preferably, the method further comprises the following steps:

[0015] Dynamically load parsing rule configuration files: Parsing rule configuration files are written in XML, JSON or YAML format. The data parsing module can dynamically load and apply parsing rule configuration files to adapt to changes in data structure and improve the flexibility and adaptability of parsing.

[0016] Preferably, the method further comprises the following steps:

[0017] Configure custom data processing logic: The custom data processing logic module provides a graphical interface, where users can configure the data processing flow by dragging and dropping, simplifying the configuration process of data processing logic and improving user convenience.

[0018] A system for implementing personalized parsing of JSON data, applied to a method for implementing personalized parsing of JSON data, the system comprising:

[0019] Parsing rule configuration file module, used to define parsing rules and data processing rules, including field mapping rules, data conversion rules and data verification rules. Field mapping rules define the mapping relationship between JSON data fields and target fields, data conversion rules define the way of data format conversion, and data verification rules are used to ensure the validity of data.

[0020] Data parsing module, which parses JSON data based on the rules in the parsing rule configuration file module, identifies and processes different data structures and types;

[0021] Customized data processing logic module, which allows users to write and apply customized data processing logic, and further process and transform data in combination with the data parsing module;

[0022] The plug-in interface module provides a plug-in interface, allowing users to extend the parsing function through this interface to support more customized requirements and data formats.

[0023] Preferably, the custom data processing logic module is integrated with the data parsing module through the plug-in interface module, and the user adds and calls additional data processing functions through the plug-in interface module, thereby enhancing the data processing capability of the system.

[0024] Preferably, the plug-in interface module supports user-defined parsing function extensions, including but not limited to supporting additional data formats and processing logic, so that the system can adapt to different data processing requirements and data formats.

[0025] Preferably, the parsing rule configuration file module uses XML, JSON or YAML format to write the configuration file to facilitate user configuration and management. At the same time, the data parsing module can dynamically load and apply the parsing rule configuration file, so that the parsing process can adapt to changes in the data structure and improve the flexibility and adaptability of the system.

[0026] Preferably, the custom data processing logic module provides a graphical interface, and the user configures the data processing flow on the graphical interface by dragging and dropping, thereby simplifying the configuration process of the data processing logic and improving the user's operational convenience and work efficiency.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The implementation method and system for personalized parsing of JSON data proposed in the present invention enable users to customize parsing rules and processing logic according to actual needs, thereby improving the flexibility of the parsing process; reducing the efficiency loss caused by fixed parsing rules through customizing the processing logic module; supporting dynamically changing data structures and multiple data types, and being suitable for different application scenarios; and providing an easily configurable parsing framework, thereby simplifying the data parsing and processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose and technical solution of the present invention clearly and completely described, and the advantages more clearly understood, the embodiments of the present invention are further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, rather than all of the embodiments, and are only used to explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] For example, see Figure 1 The present invention provides a technical solution: a method for implementing personalized parsing of JSON data, the method comprising the following steps:

[0032] Configure parsing rules and data processing rules: define field mapping rules, data conversion rules and data validation rules through the parsing rule configuration file. The field mapping rule establishes the mapping relationship between the JSON data field and the target field. The data conversion rule specifies the method of data format conversion. The data validation rule ensures the validity of the data.

[0033] Parsing JSON data: Use the data parsing module to parse JSON data according to the parsing rule configuration file, identify and extract different fields and types in the data;

[0034] Apply custom data processing logic: Through the custom data processing logic module, users write and apply custom data processing logic to further process and transform the parsed data.

[0035] The following steps are also included: Integrate the custom data processing logic module: integrate the custom data processing logic module with the data parsing module through the plug-in interface, and the user adds and calls additional data processing functions through the plug-in interface to expand the data processing capabilities.

[0036] The following steps are also included: Extending parsing functions: Supporting user-defined parsing function extensions through a plug-in interface, including but not limited to supporting additional data formats and processing logic to meet different data processing requirements.

[0037] It also includes the following steps: Dynamically load the parsing rule configuration file: The parsing rule configuration file is written in XML, JSON or YAML format. The data parsing module can dynamically load and apply the parsing rule configuration file to adapt to changes in the data structure and improve the flexibility and adaptability of the parsing.

[0038] It also includes the following steps: Configure custom data processing logic: The custom data processing logic module provides a graphical interface, and users can configure the data processing flow by dragging and dropping, which simplifies the configuration process of data processing logic and improves user convenience.

[0039] Example 2, based on Example 1, proposes a personalized JSON data parsing method based on plug-ins and dynamic configuration

[0040] Step 1: Configure parsing rules and data processing rules

[0041] First, users define field mapping rules, data conversion rules, and data validation rules by parsing the rule configuration file. Field mapping rules are used to establish the mapping relationship between JSON data fields and target fields; data conversion rules specify the specific method of data format conversion, such as converting a string to a date format; data validation rules ensure the integrity and validity of the data, such as checking whether required fields are filled in.

[0042] Step 2: Parsing JSON data

[0043] Next, the data parsing module parses the input JSON data according to the parsing rule configuration file. This module can identify and extract different fields and types in the JSON data to prepare for subsequent data processing.

[0044] Step 3: Integrate custom data processing logic module

[0045] Users integrate custom data processing logic modules with data parsing modules through the plug-in interface. This allows users to add and call additional data processing functions, such as data cleaning, data aggregation, etc., to expand the system's data processing capabilities.

[0046] Step 4: Dynamically load the parsing rule configuration file

[0047] In order to improve the flexibility and adaptability of parsing, the data parsing module can dynamically load and apply parsing rule configuration files. This means that when the data structure changes, users do not need to modify the code, but only need to update the configuration file.

[0048] Step 5: Apply custom data processing logic

[0049] After the data is parsed, the custom data processing logic module further processes and converts the parsed data according to the custom logic written by the user, including adjusting the data format, modifying the data content, etc.

[0050] Step 6: Expand parsing capabilities

[0051] Through the plug-in interface, users can also define additional parsing functions, such as supporting new data formats or processing logic. This allows the system to continuously adapt to new data processing requirements.

[0052] Example 3, based on Example 2, proposes a personalized JSON data parsing method based on a graphical interface

[0053] Step 1: Configure parsing rules and data processing rules

[0054] Similar to the first embodiment, the user first defines the field mapping rules, data conversion rules and data verification rules by parsing the rule configuration file.

[0055] Step 2: Parsing JSON data

[0056] The data parsing module parses the JSON data according to the parsing rule configuration file and extracts different fields and types from the data.

[0057] Step 3: Configure custom data processing logic

[0058] In the second embodiment, the custom data processing logic module provides a graphical interface. The user can configure the data processing flow on the graphical interface by dragging and dropping. This method simplifies the configuration process of the data processing logic, so that non-technical personnel can also easily perform data processing.

[0059] Step 4: Integrate custom data processing logic module

[0060] Although the configuration method is different, the custom data processing logic module is still integrated with the data parsing module through the plug-in interface. After completing the configuration on the graphical interface, the user can apply the custom logic to the parsed data.

[0061] Step 5: Dynamically load the parsing rule configuration file

[0062] Similar to the second embodiment, the data analysis module can dynamically load and apply the analysis rule configuration file to adapt to the changes in the data structure.

[0063] Step 6: Expand parsing capabilities

[0064] Users can also define additional parsing functions through the plug-in interface to meet specific data processing requirements. This makes the system highly scalable and flexible.

[0065] Embodiment 4, based on Embodiment 3, proposes a system for implementing personalized parsing of JSON data, which is applied to the implementation method of personalized parsing of JSON data. The system includes:

[0066] Parsing rule configuration file module, used to define parsing rules and data processing rules, including field mapping rules, data conversion rules and data verification rules. Field mapping rules define the mapping relationship between JSON data fields and target fields, data conversion rules define the way of data format conversion, and data verification rules are used to ensure the validity of data.

[0067] Data parsing module, which parses JSON data based on the rules in the parsing rule configuration file module, identifies and processes different data structures and types; the parsing rule configuration file module uses XML, JSON or YAML format to write configuration files for user configuration and management. At the same time, the data parsing module can dynamically load and apply parsing rule configuration files, so that the parsing process can adapt to changes in data structure and improve the flexibility and adaptability of the system.

[0068] Customized data processing logic module, which allows users to write and apply customized data processing logic, and further process and convert data in combination with the data analysis module; the customized data processing logic module is integrated with the data analysis module through the plug-in interface module, and users can add and call additional data processing functions through the plug-in interface module to enhance the data processing capabilities of the system; the customized data processing logic module provides a graphical interface, and users can configure the data processing flow on the graphical interface by dragging and dropping, which simplifies the configuration process of data processing logic and improves user convenience and work efficiency.

[0069] The plug-in interface module provides a plug-in interface, allowing users to extend the parsing function through the interface to support more customized requirements and data formats; the plug-in interface module supports user-defined parsing function extensions, including but not limited to supporting additional data formats and processing logic, so that the system can adapt to different data processing requirements and data formats.

[0070] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for implementing personalized parsing of JSON data, characterized by: The method comprises the following steps: Configure parsing rules and data processing rules: define field mapping rules, data conversion rules and data validation rules through the parsing rule configuration file. The field mapping rule establishes the mapping relationship between the JSON data field and the target field. The data conversion rule specifies the method of data format conversion. The data validation rule ensures the validity of the data. Parsing JSON data: Use the data parsing module to parse JSON data according to the parsing rule configuration file, identify and extract different fields and types in the data; Apply custom data processing logic: Through the custom data processing logic module, users write and apply custom data processing logic to further process and transform the parsed data.

2. According to claim 1, a method for implementing personalized parsing of JSON data is characterized in that: The following steps are also included: Integrate custom data processing logic module: Integrate custom data processing logic module with data parsing module through plug-in interface. Users can add and call additional data processing functions through plug-in interface to expand data processing capabilities.

3. The method for implementing personalized parsing of JSON data according to claim 2, characterized in that: The following steps are also included: Extended parsing capabilities: Supports user-defined parsing function extensions through plug-in interfaces, including but not limited to supporting additional data formats and processing logic to meet different data processing requirements.

4. The method for implementing personalized parsing of JSON data according to claim 1, characterized in that: The following steps are also included: Dynamically load parsing rule configuration files: Parsing rule configuration files are written in XML, JSON or YAML format. The data parsing module can dynamically load and apply parsing rule configuration files to adapt to changes in data structure and improve the flexibility and adaptability of parsing.

5. The method for implementing personalized parsing of JSON data according to claim 1, characterized in that: The following steps are also included: Configure custom data processing logic: The custom data processing logic module provides a graphical interface, where users can configure the data processing flow by dragging and dropping, simplifying the configuration process of data processing logic and improving user convenience.

6. A system for implementing personalized parsing of JSON data, applied to a method for implementing personalized parsing of JSON data according to any one of claims 1 to 5, characterized in that: The system comprises: Parsing rule configuration file module, used to define parsing rules and data processing rules, including field mapping rules, data conversion rules and data verification rules. Field mapping rules define the mapping relationship between JSON data fields and target fields, data conversion rules define the way of data format conversion, and data verification rules are used to ensure the validity of data. Data parsing module, which parses JSON data based on the rules in the parsing rule configuration file module, identifies and processes different data structures and types; Customized data processing logic module, which allows users to write and apply customized data processing logic, and further process and transform data in combination with the data parsing module; The plug-in interface module provides a plug-in interface, allowing users to extend the parsing function through this interface to support more customized requirements and data formats.

7. A system for implementing personalized parsing of JSON data according to claim 6, characterized in that: The custom data processing logic module is integrated with the data parsing module through the plug-in interface module. Users can add and call additional data processing functions through the plug-in interface module to enhance the data processing capabilities of the system.

8. A system for implementing personalized parsing of JSON data according to claim 6, characterized in that: The plug-in interface module supports user-defined parsing function extensions, including but not limited to supporting additional data formats and processing logic, so that the system can adapt to different data processing requirements and data formats.

9. A system for implementing personalized parsing of JSON data according to claim 6, characterized in that: The parsing rule configuration file module uses XML, JSON or YAML format to write configuration files for easy configuration and management by users. At the same time, the data parsing module can dynamically load and apply parsing rule configuration files, so that the parsing process can adapt to changes in data structure and improve the flexibility and adaptability of the system.

10. A system for implementing personalized parsing of JSON data according to claim 6, characterized in that: The custom data processing logic module provides a graphical interface. Users can configure the data processing flow on the graphical interface by dragging and dropping, which simplifies the configuration process of data processing logic and improves user convenience and work efficiency.

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