Dynamic report template system integrated with artificial intelligence and implementation method thereof

Abstract

The invention discloses a dynamic report template system integrated with artificial intelligence and an implementation method thereof, and relates to the technical field of artificial intelligence, the system comprises a user interface module used for providing a graphical interface for dynamic configuration, and the graphical interface comprises a parameter input area, a template selection area and a report generation control area; the business logic module is used for executing report generation logic, and the generation logic comprises parameter processing, data verification and template filling; the data processing module is used for managing encrypted storage and file operation of data; and the external service module is used for acquiring the network content and assisting in generating the content by utilizing artificial intelligence. The report generation parameters are set in batches through the user interface module, the standardization degree is improved, higher flexibility is achieved by obtaining the external content based on the external service module, target reports can be generated in batches through the business logic module, the report generation efficiency is greatly improved, data storage and operation can be considered through the data processing module, and the user experience is improved. The management efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, and in particular to a dynamic report template system integrating artificial intelligence and its implementation method. Background Technology

[0002] Currently, engineering projects require the generation of numerous standardized design reports during the design phase. Traditional report generation methods primarily rely on manual writing, which presents the following problems:

[0003] The work is inefficient, requiring a large investment of manpower and time; inconsistent report formats make it difficult to guarantee quality standards; data security is difficult to guarantee, and sensitive information is easily leaked; and the inability to achieve batch automated processing increases the workload. Summary of the Invention

[0004] The main objective of this application is to propose a dynamic report template system integrating artificial intelligence and its implementation method, so as to improve the efficiency and standardization of report generation.

[0005] To achieve the above objectives, one aspect of this application proposes a dynamic report template system integrating artificial intelligence, the system comprising:

[0006] A user interface module is used to provide a dynamically configurable graphical interface, which includes a parameter input area, a template selection area, and a report generation control area.

[0007] The business logic module is used to execute the report generation logic, which includes parameter processing, data validation, and template filling.

[0008] The data processing module is used to manage the encrypted storage and file operations of data;

[0009] External service modules are used to acquire network content and generate content with the assistance of artificial intelligence.

[0010] In some embodiments, the user interface module includes:

[0011] A dynamic UI builder used to dynamically generate form interfaces based on configuration files;

[0012] The configuration interface is used to manage system settings and API configuration.

[0013] The parameter management interface is used to process and validate user-input parameters.

[0014] In some embodiments, the business logic module includes:

[0015] A report processor for executing the report generation logic;

[0016] Configuration Manager is used to handle system configuration information;

[0017] The parameter processor is used for parameter replacement and verification.

[0018] In some embodiments, the data processing module includes:

[0019] The data encryption unit uses PBKDF2HMAC and Fernet algorithms to encrypt sensitive information;

[0020] The file I / O management unit is used to handle file read and write operations;

[0021] The data verification unit is used to ensure the integrity and correctness of the data.

[0022] In some embodiments, the external service module includes:

[0023] Web content retrieval unit, used to retrieve data from a specified URL;

[0024] The AI ​​service integration unit is used to call AI interfaces to generate content.

[0025] The template processing unit is used to parse and populate Word templates.

[0026] In some embodiments, the system further includes:

[0027] Batch processing model, used to automate the generation of multiple reports;

[0028] The command-line interface module is used to invoke system functions via command line.

[0029] The error handling module is used to capture and handle exceptions that occur during system operation.

[0030] In some embodiments, the system further includes:

[0031] The configuration file import / export module is used for backing up and migrating system configurations;

[0032] The report data import / export module is used to save and retrieve report data;

[0033] The template selection module provides options for choosing and using custom Word templates.

[0034] To achieve the above objectives, another aspect of this application proposes a dynamic report generation method integrating artificial intelligence. This method is applied to the aforementioned dynamic report template system integrating artificial intelligence, and includes the following steps:

[0035] Configure report generation parameters through the graphical interface of the user interface module;

[0036] Utilize external service modules to acquire network content and AI-generated content;

[0037] The network content and the AI-assisted generated content are filled into the template of the business logic module, and the business logic module executes the report generation logic according to the report generation parameters to obtain the target report;

[0038] The data processing module manages the encrypted storage and file operations of the target report.

[0039] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0040] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0041] To achieve the above objectives, another aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0042] The embodiments of this application include at least the following beneficial effects:

[0043] This application provides a dynamic report template system integrating artificial intelligence and its implementation method. The system includes a user interface module for providing a dynamically configurable graphical interface, including a parameter input area, a template selection area, and a report generation control area; a business logic module for executing report generation logic, including parameter processing, data validation, and template filling; a data processing module for managing encrypted data storage and file operations; and an external service module for acquiring network content and utilizing artificial intelligence to assist in content generation. This application improves standardization and efficiency by batch setting report generation parameters through the user interface module. Furthermore, acquiring external content through the external service module offers greater flexibility and efficiency compared to generating content from scratch. The business logic module enables batch generation of target reports, significantly improving report generation efficiency. The data processing module also handles report and data storage and manipulation, enhancing management efficiency. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A schematic diagram of the structure of a dynamic report template system integrating artificial intelligence provided in an embodiment of this application;

[0046] Figure 2 A flowchart illustrating a dynamic report generation method integrating artificial intelligence, provided for an embodiment of this application;

[0047] Figure 3 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0050] This application provides a dynamic report template system and its implementation method integrating artificial intelligence, relating to the field of artificial intelligence technology. The dynamic report template system and its implementation method integrating artificial intelligence provided in this application can be applied to a terminal, a server, or software running on a terminal or server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or in-vehicle terminal, etc., but is not limited thereto; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the server can also be a node server in a blockchain network; the software can be an application implementing a dynamic report generation method integrating artificial intelligence, etc., but is not limited to the above forms.

[0051] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0052] Reference Figure 1 This application provides a dynamic report template system integrating artificial intelligence, the system comprising:

[0053] A user interface module is used to provide a dynamically configurable graphical interface, which includes a parameter input area, a template selection area, and a report generation control area.

[0054] The business logic module is used to execute the report generation logic, which includes parameter processing, data validation, and template filling.

[0055] The data processing module is used to manage the encrypted storage and file operations of data;

[0056] External service modules are used to acquire network content and generate content with the assistance of artificial intelligence.

[0057] Optionally, the user interface module includes:

[0058] A dynamic UI builder used to dynamically generate form interfaces based on configuration files;

[0059] The configuration interface is used to manage system settings and API configuration.

[0060] The parameter management interface is used to process and validate user-input parameters.

[0061] Optionally, the business logic module includes:

[0062] A report processor for executing the report generation logic;

[0063] Configuration Manager is used to handle system configuration information;

[0064] The parameter processor is used for parameter replacement and verification.

[0065] Optionally, the data processing module includes:

[0066] The data encryption unit uses PBKDF2HMAC and Fernet algorithms to encrypt sensitive information;

[0067] The file I / O management unit is used to handle file read and write operations;

[0068] The data verification unit is used to ensure the integrity and correctness of the data.

[0069] Optionally, the external service module includes:

[0070] Web content retrieval unit, used to retrieve data from a specified URL;

[0071] The AI ​​service integration unit is used to call AI interfaces to generate content.

[0072] The template processing unit is used to parse and populate Word templates.

[0073] Optionally, the system further includes:

[0074] Batch processing model, used to automate the generation of multiple reports;

[0075] The command-line interface module is used to invoke system functions via command line.

[0076] The error handling module is used to capture and handle exceptions that occur during system operation.

[0077] Optionally, the system further includes:

[0078] The configuration file import / export module is used for backing up and migrating system configurations;

[0079] The report data import / export module is used to save and retrieve report data;

[0080] The template selection module provides options for choosing and using custom Word templates.

[0081] Reference Figure 2 This application embodiment also provides a dynamic report generation method integrating artificial intelligence, which is applied to the above-mentioned dynamic report template system integrating artificial intelligence. The method includes the following steps S200 to S230:

[0082] S200: Configure report generation parameters through the graphical interface of the user interface module;

[0083] S210: Utilize external service modules to obtain network content and AI-assisted generated content;

[0084] S220: Fill the template of the business logic module with the network content and the AI-assisted generated content, and use the business logic module to execute the report generation logic according to the report generation parameters to obtain the target report;

[0085] S230: Use the data processing module to manage the encrypted storage and file operations of the target report.

[0086] The following sections will provide a detailed description and explanation of some optional embodiments of this application, using specific application examples.

[0087] This embodiment provides a dynamic report template system integrating artificial intelligence and its implementation method. It adopts a modular design and enables automated report generation and batch processing through both graphical interface and command-line dual-mode operation. The system has the following technical features:

[0088] 1. The overall system architecture adopts a four-layer design:

[0089] User interface layer: Provides a graphical user interface;

[0090] Business logic layer: handles core business processes;

[0091] Data processing layer: responsible for data storage and verification;

[0092] External service layer: Provides support for extended functionality.

[0093] 2. Implementation of key technologies:

[0094] Use Python Tkinter to build a cross-platform GUI interface;

[0095] Data encryption is performed using PBKDF2HMAC and Fernet algorithms;

[0096] Implement parameterization and template filling mechanisms;

[0097] It supports web content retrieval and AI-assisted generation.

[0098] 2.1 Data Encryption Technology:

[0099] The system employs the PBKDF2HMAC key derivation function and the Fernet symmetric encryption algorithm to ensure the security of sensitive data. Example code is as follows:

[0100] Python

[0101] def encrypt(self,api_key:str)->str:

[0102] if not api_key:

[0103] return""

[0104] encrypted=self.fernet.encrypt(api_key.encode())

[0105] return base64.urlsafe_b64encode(encrypted).decode()

[0106] ```

[0107] 2.2 Dynamic UI Generation:

[0108] The system dynamically generates the user interface through configuration files, supporting flexible form customization. Example code is as follows:

[0109] Python

[0110] def build_ui(self,config:Dict):

[0111] for field in config['fields']:

[0112] self._create_field_widget(field)

[0113] ```

[0114] 2.3 Parameter processing mechanism:

[0115] The system implements a flexible parameter replacement mechanism, as shown in the example code below:

[0116] Python

[0117] def process_parameters(self,text:str)->str:

[0118] for param_name in self.parameters:

[0119] pattern=f"\\$<{param_name}>\\$"

[0120] value=self.get_parameter(param_name)

[0121] text=re.sub(pattern,value,text)

[0122] return text

[0123] ```

[0124] 2.4 Report Generation Process:

[0125] The system's report generation process includes the following steps:

[0126] Read the template file;

[0127] Process user input data;

[0128] Perform parameter replacement;

[0129] Handling special protocols (Web / AI);

[0130] Generate the final report.

[0131] 3. How to use:

[0132] 3.1 Graphical Interface Mode:

[0133] Start the system;

[0134] Select a Word template;

[0135] Fill in the required parameters;

[0136] Click to generate a report.

[0137] 3.2 Command line mode, example code is as follows:

[0138] bash

[0139] The Python report generator .py file contains the following batch batch files: input-dir [input directory], output-dir [output directory], and template file.

[0140] ```

[0141] 4. Exception handling:

[0142] The system implements a comprehensive exception handling mechanism, including:

[0143] Input validation;

[0144] File operation exception handling;

[0145] Handling network request exceptions;

[0146] Encryption / decryption exception handling.

[0147] 5. Application Scenarios:

[0148] This system is suitable for the following scenarios:

[0149] Generation of routine reports by hydropower design institutes;

[0150] Batch processing of large numbers of standardized reports;

[0151] In situations where strict control over report format is required;

[0152] Application environments that require the protection of sensitive data.

[0153] 6. Beneficial effects:

[0154] Significantly improves report generation efficiency and reduces manual workload;

[0155] Ensure consistent report formats and improve quality standards;

[0156] Protect sensitive data security through encryption technology;

[0157] Supports batch processing, improving work efficiency;

[0158] It has good scalability and maintainability.

[0159] The solutions of the embodiments of this application will be described next with more specific implementation methods.

[0160] I. System Overall Architecture and Technical Principles

[0161] 1.1 System Overview and Design Concept

[0162] This system is a dynamically configured intelligent report generation system. It employs a layered architecture design, achieving complete separation of data, interface, and business logic. The core design philosophy is "configuration-driven, dynamic generation, and intelligent processing," and its modular design achieves high scalability and maintainability. Technical architecture features:

[0163] The MVC (Model-View-Controller) design pattern is adopted to separate the data model, user interface and business logic, which facilitates maintenance and expansion.

[0164] Implement a JSON-based configuration management mechanism that supports importing and exporting configuration files and version control;

[0165] It supports dynamic interface generation and real-time data binding, with the user interface automatically generated based on the configuration file;

[0166] It integrates multiple external service interfaces, including AI services and web content acquisition;

[0167] Implement a robust security authorization mechanism to ensure the security and controllability of the software.

[0168] 1.2 Core Technology Stack.

[0169] Development languages ​​and frameworks:

[0170] Primary language: Python 3.7+, chosen for its rich library support and cross-platform compatibility;

[0171] GUI framework: tkinter, providing cross-platform graphical interface support;

[0172] Document processing: The python-docx library is specifically designed for creating, modifying, and formatting Word documents;

[0173] Image processing: Pillow library, which supports the processing and conversion of various image formats;

[0174] Network requests: The requests library provides HTTP client functionality;

[0175] Encryption Security: The cryptography library implements data encryption and key management;

[0176] Data processing: The pandas library is used for data analysis and processing.

[0177] System architecture layers:

[0178] 1. Authorization Management Layer: Responsible for machine code verification, encryption authorization, and access control to ensure the secure use of the software;

[0179] 2. User Interface Layer: Implements dynamic UI construction, event handling, and user interaction, providing a user-friendly interface;

[0180] 3. Business Logic Layer: Handles core business functions such as report generation, configuration management, and parameter processing;

[0181] 4. Data Processing Layer: Responsible for underlying data processing such as data encryption, file I / O, and data verification;

[0182] 5. External service layer: Integrates external services such as web content acquisition, AI services, and template processing.

[0183] II. Detailed technical solutions for core functional modules.

[0184] 2.1 Dynamic Interface Configuration System.

[0185] 2.1.1 Detailed implementation of the configuration management mechanism.

[0186] Configuration Data Structure Design: The system adopts a data class-based configuration structure design to ensure type safety and code readability. The configuration structure is divided into two main levels: chapter configuration and field configuration. Chapter configuration includes chapter name, field list, and sub-chapter list; field configuration includes field name, field type, template parameters, description information, and attribute settings. Configuration Serialization Mechanism: The system implements a complete configuration serialization and deserialization mechanism, supporting the storage and loading of JSON format configuration files. Nested configuration structures are handled through recursive algorithms to ensure the correct saving and restoration of complex configurations. The system also implements configuration version control and backward compatibility, supporting automatic upgrades of older configuration files. Configuration Validation Mechanism: The system performs comprehensive validation when loading configuration files, including field name uniqueness checks, field type validity checks, and attribute value range checks. If a configuration error is found, the system provides detailed error information and attempts to automatically repair it.

[0187] 2.1.2 Detailed implementation of dynamic UI construction technology.

[0188] Factory Pattern Implementation: The system employs the factory pattern to create different types of UI controls, achieving unified management and expansion of controls. Based on the field types in the configuration, the system automatically creates corresponding UI controls, including text boxes, image pickers, and table pickers. Data Binding Mechanism: The system implements a data binding mechanism based on the observer pattern, ensuring real-time synchronization between UI controls and the data model. When a user modifies data on the interface, the system automatically updates the internal data model; when the data model changes, the interface updates accordingly. Control Lifecycle Management: The system implements complete control lifecycle management, including creation, updating, destruction, and memory cleanup. When a user switches between different chapters, the system saves the data for the current chapter, destroys old controls, creates new controls, and restores the data.

[0189] 2.1.3 Detailed design of field type system.

[0190] Text Field Technology Implementation: Text fields support multi-line text input and editing, enabling real-time word count and helping users control content length. The system provides an expandable editing function, allowing users to comfortably edit long text in a large window. Text fields also support a clear function for easy and quick content removal. Image Field Technology Implementation: Image fields support various image formats, including PNG, JPG, GIF, and BMP. The system automatically generates thumbnail previews to help users quickly identify image content. Image fields also support image caption management, allowing users to add detailed descriptions to each image. Table Field Technology Implementation: Table fields support importing Word table files, and the system automatically verifies whether the file contains tables. Users can add descriptive text to tables, which will be included in the generated report.

[0191] 2.2 Intelligent Content Processing System.

[0192] 2.2.1 Detailed implementation of parametric template technology.

[0193] Parameter referencing mechanism: The system implements a regular expression-based parameter referencing mechanism, supporting dynamic parameter replacement. Users can use the format $<parameter name>$ to reference parameter values ​​in any text field, and the system will automatically replace the parameter value in the text. This mechanism allows report content to change dynamically, greatly improving template flexibility. Parameter propagation mechanism: When a parameter value changes, the system automatically updates all text content referencing that parameter. This real-time update mechanism ensures data consistency, eliminating the need for users to manually update every reference to a parameter. Parameter validation mechanism: The system validates parameter values ​​to ensure their validity and security. If a parameter value contains special characters or is incorrectly formatted, the system will provide corresponding prompts.

[0194] 2.2.2 Detailed implementation of special protocol handling mechanism.

[0195] Web Protocol Processing: The system implements a regular expression-based web protocol parsing and processing mechanism. When a user enters content in the format [[WEB]]:[[URL]], the system automatically retrieves the content from the specified URL and replaces it with text. The system supports the retrieval of various content types, including text, PDF, and images. For non-text content, the system saves it as a temporary file and returns the file path. AI Protocol Processing: The system implements a complete AI service integration mechanism, supporting calls to various AI interfaces. When a user enters content in the format [[AI]]:[[Prompt Word]], the system calls the configured AI service to generate the corresponding content. The system supports parameter combinations, and users can reference parameter values ​​in the prompt words to achieve more intelligent content generation. Error Handling Mechanism: The system has implemented robust error handling for network requests and AI calls. When a network request fails, the system provides specific error information; when the AI ​​service is unavailable, the system prompts the user to check the configuration or retry later.

[0196] 2.2.3 Detailed implementation of content acquisition technology.

[0197] Network Content Acquisition Mechanism: The system implements a multi-threaded asynchronous processing mechanism to achieve concurrent acquisition of network content. The system uses the requests library for HTTP requests, supporting timeout settings and error retries. The system processes responses differently based on their content type: text content is returned directly, while binary content is saved as a temporary file. Temporary File Management Mechanism: The system implements a robust temporary file management mechanism to ensure efficient resource utilization and cleanup. The system records all created temporary files and automatically cleans them up after processing, avoiding wasted disk space. Content Type Recognition Mechanism: The system identifies the content type through the Content-Type header information in the HTTP response and processes it accordingly. The system supports automatic recognition and processing of various content types, including text, images, and PDFs.

[0198] 2.3 Detailed technical solution for the document processing engine.

[0199] 2.3.1 Detailed implementation of Word document processing technology.

[0200] Document Template Processing Mechanism: The system implements a complete Word document processing engine based on the python-docx library. The system first copies the template file to the output location, then opens the copied file for modification. The system iterates through all paragraphs and tables in the document, searching for placeholders and replacing them. Placeholder Replacement Mechanism: The system supports two types of placeholders: plain text placeholders and descriptive text placeholders. Plain text placeholders are formatted as {{field name}}, and descriptive text placeholders are formatted as {{field name description}}. The system prioritizes descriptive text placeholders, then processes plain text placeholders. Formatting Preservation Mechanism: The system preserves the original formatting settings when replacing text, including font, font size, bold, italics, underline, and color. The system saves the original paragraph formatting information and reapplies these formats after replacing the content.

[0201] 2.3.2 Detailed implementation of the table processing mechanism.

[0202] Table Extraction Technology: The system extracts tables from Word documents and inserts them into target documents. It uses XML-level operations to extract the complete table structure, including rows, columns, cell content, and formatting. Table Insertion Technology: The system uses deep copy technology to ensure the integrity of the table structure. It retrieves the XML elements of the source table, creates a deep copy, and then inserts it into the specified location in the target document. This technology ensures that all table formatting and content are correctly copied. Table Validation Mechanism: The system validates the table before insertion to ensure that the source file contains the table and that its structure is complete. If validation fails, the system will provide an appropriate error message.

[0203] 2.3.3 Detailed implementation of image processing technology.

[0204] Image Insertion Mechanism: The system supports processing various image formats, including automatic scaling, format conversion, and quality optimization. It uses the python-docx image insertion function, supporting setting image width and center alignment. Image Format Support: The system supports multiple image formats such as PNG, JPG, GIF, and BMP. The system automatically processes images of different formats to ensure they can be correctly inserted into Word documents. Image Quality Control: The system performs quality control when inserting images, ensuring image clarity and appropriate file size. Automatic image scaling is supported to prevent excessively large images from affecting the overall document layout.

[0205] 2.4 Detailed technical solution for the security authorization system.

[0206] 2.4.1 Detailed implementation of machine code generation technology.

[0207] Hardware Information Acquisition Mechanism: The system employs a machine code generation algorithm based on hardware information, combined with multiple hardware identifiers to ensure uniqueness. The system uses Windows Management Tools (WMIC) to obtain hardware information such as the CPU processor ID, BIOS UUID, and hard drive serial number, then combines this information and performs hash processing. Hash Algorithm Application: The system uses the SHA256 hash algorithm to process hardware information and generate fixed-length machine code. The system takes the first 16 bytes of the hash value and converts it into an uppercase hexadecimal string as the final machine code. This algorithm ensures the uniqueness and irreversibility of the machine code. Backup Mechanism Design: The system implements multiple backup machine code generation methods to ensure the generation of valid machine codes under various environments. If the WMIC command execution fails, the system will attempt to obtain the MachineGuid from the Windows Registry; if registry access fails, the system will generate a UUID based on the user directory; the final backup plan is to generate a random UUID.

[0208] 2.4.2 Detailed implementation of the encryption authorization mechanism.

[0209] Key Derivation Mechanism: The system uses the PBKDF2 key derivation function to achieve secure key generation. The system derives encryption keys from a fixed key seed using a fixed salt value and number of iterations. This mechanism ensures key security and consistency. Authorization File Generation Mechanism: The system implements a complete authorization file generation and verification mechanism. The authorization file contains information such as machine code, feature list, expiration time, and creation time. The system converts this information into JSON format, encrypts it using the Fernet symmetric encryption algorithm, and finally saves it to a file. Authorization Verification Mechanism: The system implements a complete authorization verification process. The system first checks if the authorization file exists, then decrypts the authorization file and verifies its integrity. The system verifies whether the machine code matches, whether the authorization has expired, and whether the feature permissions are sufficient. If any verification fails, the system will provide specific error messages.

[0210] 2.5 Detailed technical solution for batch processing system.

[0211] 2.5.1 Detailed implementation of the batch processing engine.

[0212] File Scanning Mechanism: The system implements an efficient batch document processing mechanism, supporting concurrent processing of multiple files and error recovery. The system scans all JSON files in the specified directory, with each JSON file corresponding to a report to be generated. Data Processing Flow: The system processes each JSON file as follows: first, it reads the JSON data; then, it sets parameter values; next, it processes special protocols among all values; and finally, it generates a report. The system records error information during processing and provides a detailed statistical report upon completion. Error Handling Mechanism: The system implements a robust error handling mechanism. If a file processing fails, the system records the error information and continues processing other files. The system distinguishes between different types of errors, including file reading errors, protocol processing errors, and report generation errors.

[0213] 2.5.2 Detailed implementation of data import and export.

[0214] Data Export Mechanism: The system supports exporting all current data to JSON format. Exported data includes all field values, parameter values, report names, etc. Users can use this function to back up their current work progress. Data Import Mechanism: The system supports importing data from JSON files. Imported data will overwrite all current data, and the system will automatically update the interface display. Users can use this function to restore previous work progress. Data Validation Mechanism: The system performs validation during data import to ensure data integrity and validity. If data format errors are found, the system will provide corresponding prompts.

[0215] III. Details of Key Technology Implementation

[0216] 3.1 Detailed implementation of the data binding mechanism.

[0217] Observer Pattern Application: The system implements a data binding mechanism based on the observer pattern to ensure real-time synchronization between UI controls and the data model. When a user modifies data on the interface, the system automatically updates the internal data model; when the data model changes, the interface updates accordingly. Event Handling Mechanism: The system binds a corresponding event handler to each UI control. When a user performs an input operation, the system triggers the corresponding event, updates the data model, and notifies other relevant components. Data Propagation Mechanism: The system implements a data change propagation mechanism. When one piece of data changes, the system automatically updates all other data that depends on it. This mechanism ensures data consistency.

[0218] 3.2 Detailed implementation of memory management technology.

[0219] Reference counting mechanism: The system employs reference counting and garbage collection mechanisms to effectively manage the lifecycle of image previews and temporary files. The system tracks all created objects and automatically releases memory when an object is no longer in use. Temporary file management: The system implements a robust temporary file management mechanism. It records all created temporary files and automatically cleans them up after processing, avoiding wasted disk space. Resource cleanup mechanism: The system automatically cleans up all resources, including temporary files, image previews, and memory cache, when the program exits. This mechanism ensures system stability and efficient resource utilization.

[0220] 3.3 Detailed implementation of the error handling mechanism.

[0221] Layered Error Handling: The system implements a layered error handling mechanism, including user-friendly error messages and detailed logging. The system adopts different handling strategies based on the type and severity of the error. Error Recovery Mechanism: The system implements an error recovery mechanism. When an operation fails, the system attempts to restore the previous state and provides appropriate prompts. Logging Mechanism: The system records detailed operation logs, including operation steps, error messages, and processing time. This log information is helpful for problem diagnosis and system optimization.

[0222] 3.4 Detailed implementation of configuration verification technology.

[0223] Automatic Validation Mechanism: The system performs configuration validation in the following situations: when importing configuration files, adding new fields, and modifying field attributes. The system checks the completeness and validity of the configuration. Validation Rule Design: The system implements various validation rules, including field name uniqueness checks, field type validity checks, and attribute value range checks. These rules ensure the correctness of the configuration. Error Handling Mechanism: When validation fails, the system provides detailed error information and prevents invalid configurations from being saved. The system also provides troubleshooting suggestions to help users quickly resolve issues.

[0224] IV. System Innovations and Technological Advantages

[0225] 4.1 Innovative dynamic interface configuration.

[0226] Configuration-Driven Design: The system implements dynamic interface generation based on configuration files, allowing for customization of the interface structure without modifying the code. Users can define chapters, fields, attributes, etc., through configuration files, and the system will automatically generate the corresponding interface based on the configuration. Real-Time Interface Updates: The system supports real-time configuration updates. When a user modifies the configuration file, the system automatically regenerates the interface without requiring a program restart. This mechanism greatly improves the system's flexibility. Configuration Version Management: The system implements configuration version management functionality. Users can save multiple versions of the configuration and switch between them as needed. This mechanism facilitates configuration backup and recovery.

[0227] 4.2 Innovation in intelligent content acquisition.

[0228] Multi-protocol support: The system supports multiple special protocols, including WEB and AI protocols. Users can use simple syntax to retrieve web content or generate AI content, greatly improving content creation efficiency. Intelligent content processing: The system implements an intelligent content processing mechanism. It performs different processing based on content type, including text extraction, image downloading, and format conversion. Error tolerance mechanism: The system implements a robust error tolerance mechanism. When content retrieval fails, the system provides specific error information and attempts to use alternative solutions.

[0229] 4.3 Security Authorization Innovation.

[0230] Hardware Binding Mechanism: The system implements a machine code generation mechanism based on hardware information, ensuring that the software can only run on authorized machines. The system uses multiple hardware identifiers to improve the uniqueness and security of the machine code. Encrypted Storage Mechanism: The system uses advanced encryption algorithms to protect authorization information. Authorization files are stored encrypted and cannot be used even if copied to other machines. Hierarchical Access Control: The system implements a hierarchical access control mechanism. Different authorizations can include different functional permissions, achieving flexible authorization management.

[0231] 4.4 Batch processing innovation.

[0232] High-efficiency processing mechanism: The system implements a high-efficiency batch processing mechanism, supporting concurrent processing of multiple files. The system intelligently allocates processing resources to ensure maximum processing efficiency. Error isolation mechanism: The system implements an error isolation mechanism. When the processing of one file fails, it will not affect the processing of other files. The system records detailed error information for easy problem diagnosis. Progress tracking mechanism: The system implements a progress tracking mechanism. Users can view the processing progress in real time and understand the current processing status.

[0233] V. Technological Advantages and System Features.

[0234] 5.1 High configurability.

[0235] The system allows for customization of the interface and functionality through configuration files, without requiring code modifications. Users can adjust the interface layout, field types, attribute settings, and more according to their specific needs, achieving a high degree of flexibility.

[0236] 5.2 Intelligent content processing.

[0237] The system integrates AI and web services to enable intelligent content generation. Users can use simple syntax to retrieve web content or generate AI-generated content, greatly improving the efficiency and quality of content creation.

[0238] 5.3 Safe and reliable.

[0239] The system implements a robust authorization and encryption mechanism to ensure software security and controllability. It utilizes hardware binding and encrypted storage technology to effectively prevent software piracy and abuse.

[0240] 5.4 High-efficiency processing.

[0241] The system supports batch processing and concurrent operations, enabling efficient handling of large numbers of documents. It implements intelligent resource allocation and error handling mechanisms to ensure maximum processing efficiency.

[0242] 5.5 User-friendly.

[0243] The system offers an intuitive graphical interface and detailed operation prompts, significantly reducing the learning curve for users. It also provides abundant help documentation and examples to help users get started quickly. Through modular design and an advanced technical architecture, the system automates and intelligently generates reports, providing strong technical support for document processing in hydropower design institutes. Its innovation and practicality give it a clear technological advantage over similar products.

[0244] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method of this application. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0245] It is understood that the content of the above method embodiments is applicable to the device embodiments. The specific functions implemented by the device embodiments are the same as those of the methods of this application, and the beneficial effects achieved are the same as those achieved by the methods of this application.

[0246] Please see Figure 3 , Figure 3 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0247] The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0248] The memory 302 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 302 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and is called and executed by the processor 301.

[0249] Input / output interface 303 is used to implement information input and output;

[0250] The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0251] Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304);

[0252] The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0253] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method of this application.

[0254] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0255] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0256] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0257] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0258] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0259] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0260] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0261] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0262] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0263] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0264] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0265] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0266] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0267] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A dynamic reporting template system incorporating artificial intelligence, characterized by, The system comprises: a user interface module for providing a dynamically configured graphical interface, the graphical interface comprising a parameter input area, a template selection area, and a report generation control area; a business logic module for executing the generation logic of the report, the generation logic comprising parameter processing, data verification, and template filling; a data processing module for managing the encrypted storage and file operations of data; an external service module for obtaining network content and generating content assisted by artificial intelligence.

2. The dynamic reporting template system incorporating artificial intelligence of claim 1, wherein, The user interface module comprises: a dynamic UI builder for dynamically generating a form interface according to a configuration file; a configuration interface for managing system settings and API configurations; a parameter management interface for processing and verifying user-inputted parameters.

3. The dynamic report template system incorporating artificial intelligence of claim 1, wherein, The business logic module comprises: a report processor for executing the generation logic of the report; a configuration manager for processing system configuration information; a parameter processor for performing parameter substitution and verification.

4. The dynamic report template system incorporating artificial intelligence of claim 1, wherein, The data processing module comprises: a data encryption unit for encrypting sensitive information using PBKDF2HMAC and Fernet algorithms; a file IO management unit for processing file read / write operations; a data verification unit for implementing data integrity and correctness.

5. The dynamic report template system incorporating artificial intelligence of claim 1, wherein, The external service module comprises: a Web content acquisition unit for acquiring data from a specified website; an AI service integration unit for calling an AI interface to generate content; a template processing unit for parsing and filling a Word template.

6. The dynamic reporting template system incorporating artificial intelligence of claim 1, wherein, The system further comprises: a batch processing model for implementing the automated generation of multiple reports; a command line interface module for invoking system functions through a command line; an error handling module for capturing and handling exceptions in system operation.

7. The dynamic reporting template system incorporating artificial intelligence of any of claims 1 to 6, wherein, The system further comprises: a configuration file import / export module for backup and migration of system configurations; a report data import / export module for saving and reading report data; a template selection module for providing selection and use of custom Word templates.

8. A dynamic report generation method incorporating artificial intelligence, characterized by, The method is applied to a dynamic report template system integrating artificial intelligence, and comprises the following steps: configuring report generation parameters through a graphical interface of a user interface module; obtaining network content and content generated with the assistance of artificial intelligence using an external service module; filling the network content and the content generated with the assistance of artificial intelligence into a template of a business logic module, and executing the generation logic of a report according to report generation parameters using the business logic module to obtain a target report; managing the encrypted storage and file operations of the target report using a data processing module.

9. An electronic device, comprising: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method of claim 8 when executing the computer program.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to implement the method of claim 8.

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