152 results about "Interface (Java)" patented technology

The invention provides a legacy system-oriented large-model-driven API document automatic generation system, belongs to the crossing field of artificial intelligence and software development, and provides a multi-modal data fusion and closed-loop verification mechanism aiming at the defects of a traditional API document generation method in the aspects of semantic comprehension, dynamic context capture and multi-technology stack adaptation. A code static feature and a dynamic track during operation are analyzed through a multi-source data acquisition module, and an interface semantic feature is extracted in combination with a field self-adaptive large model of a semantic enhancement analysis module; deducing an implicit service rule by fusing static / dynamic characteristics through a graph neural network, and generating a standardized document conforming to an OpenAPI specification through a parameterized template generative adversarial network (PT-GAN); and finally, performing three-level verification and closed-loop optimization through a sandbox environment. The method supports a heterogeneous system of 16 programming languages such as Java / C + + / Python, interface version changes can be automatically recognized, document patches are generated, the problems of missing and outdated system documents and low maintenance efficiency are solved, and maintainability and integration efficiency of enterprise-level systems are remarkably improved.

The invention relates to the technical field of computer software engineering and cross-platform development, in particular to a system for assisting in transplanting Android language to ArkTS (ArkTS) of the swan Mongolia, which comprises a code input module for acquiring Java and Kotlin double-language source codes, an analysis module for analyzing codes by using an improved grammar analysis algorithm, and a storage module for storing the codes. The translation module constructs an abstract syntax tree based on an analysis result and generates an attribute description array, and the generation module generates an ArkTS interface code according to the attribute description array; the distributed computing architecture realizes efficient task scheduling and processing, and the post-processing optimization module guarantees the code quality. Through multi-module cooperation, the probability-rule fusion algorithm, the type dynamic mapping and other technologies, code transplantation can be rapidly and accurately completed, the large project transplantation period is shortened from several weeks to several days, the manual correction cost is reduced, the code conversion accuracy and the system stability are improved, and the development of the wide-gap application ecology is powerfully promoted.

The invention discloses a Java-based large language model dynamic adaptation method and system, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of overcoming the interface difference of multiple model interfaces, simplifying the development process and providing standardized and high-expansibility large model management. Comprising the following steps: providing a model registration and dynamic loading service, a protocol conversion and parameter standardization service and a load balancing and failover service; a streaming transmission protocol service, a function call dynamic injection service and a global error processing mechanism are provided; when a user provides a document analysis and partitioning service, a vectorization index construction service and an RAG enhanced generation service to ask questions, relevant document blocks in the Pinecone are retrieved through the RAG enhanced generation service to serve as contexts to be injected into cue words of the large language model, and answers generated by the large language model are returned.

The invention provides a software supply chain risk component calling identification method, and belongs to the technical field of basic safety. The method comprises the following steps: loading components in a Java Web application, and dynamically capturing a loaded component list; storing the component list locally and sending the component list to an external intelligence system, acquiring risk component information, and generating a risk calling interface signature according to the risk component information; a preset instrumentation rule file is loaded based on the risk calling interface signature, and accurate monitoring of the risk interface is realized through dynamic method matching and byte code enhancement; screening risk interfaces triggered during operation according to cross comparison of static data and dynamic calling data, and marking high-risk components which must be repaired and risk components which can be postponed to be repaired; the risk report generation module generates repair suggestions and priority reports. According to the method, the accuracy of risk assessment is fundamentally improved, meanwhile, the unnecessary repair cost is remarkably reduced, and an efficient and innovative technical solution is provided for supply chain risk management.

The invention discloses a configuration method for dynamically loading a Vue3 component to construct a front-end user interface under an ExtJS combined JSP architecture, which comprises the following steps of: under the ExtJS combined JSP architecture, newly adding a front-end bridging layer in a Java back-end source code and a compiled and output directory, and configuring a micro front-end engine file and a loading configuration file of a dynamic component loading engine in the front-end bridging layer; an application project directory of the Vue3 component is newly added; a micro-front-end engine file is introduced into a main interface entry JSP file, a loading configuration file of a packaged dynamic component loading engine is introduced, a DOM container of a Vue3 component is arranged in an HTML, and a management object syncExt of a bridging layer of the Vue3 component is customized; and carrying out packaging deployment on the J2EE and a front-end bridging layer by adopting dockerfile configuration, so as to realize cross-framework context communication. The method not only can support stable operation of stock applications, but also can integrate modern front-end framework components and realize framework decoupling.

The invention discloses a dynamic interface implementation method based on a JavaSpringBoot framework, which relates to the technical field of project development and comprises the following steps: shielding SpringBoot default mapping; initializing a dynamic rule engine, and loading and caching an interface rule; the records meeting the enabling and version conditions are constructed into routing objects; constructing a dynamic routing directory, and dynamically registering and binding a routing object and the processing flow template; the user-defined entry agent intercepts an HTTP (Hyper Text Transport Protocol) request, submits the context of the request to the DynamicRouteCatalog, and performs efficient matching; and uniformly packaging the response data into a JSON format. Through cooperative work of the dynamic rule engine, the dynamic routing manager and the responsibility chain execution framework, interface dynamic registration, high-performance matching, multi-version parallel and online switching, pluggable business process and end-to-end observability are realized on the basis of ensuring the analysis capability of a SpringBoot native container; the flexibility and the maintainability of the system are improved, and the stability and the safety in a high-concurrency scene are also considered.

The invention discloses an industrial network protocol integration platform realized based on JavaWeb. Comprising a protocol adaptation layer used for carrying out adaptive connection with each hardware interface, a service management layer used for carrying out configuration management and task scheduling optimization, an edge computing layer used for realizing data filtering and event triggering, and a cloud collaboration layer used for realizing big data storage and AI model reasoning prediction. The signal output end of the protocol adaptation layer is connected with the signal input end of the service management layer, the signal output end of the service management layer is connected with the signal input end of the edge computing layer, and the signal output end of the edge computing layer is connected with the signal input end of the cloud collaboration layer. Equipment instructions of different protocols are uniformly converted into a standard data format and packaged into a TCP / IP protocol for transmission, meanwhile, conversion of cross-platform protocols such as OPC UA is supported, and the multi-protocol compatibility problem of the industrial Internet of Things is solved.

The invention provides a Java editor plug-in implementation method and system based on an Eclipse platform, and the method comprises the steps: carrying out the initialization configuration and registration of a plug-in, constructing a text editor interface capable of embedding Eclipse, achieving a grammar highlighting function, achieving a code completion function, achieving a code formatting function, and carrying out the deployment and operation of the plug-in. According to the mode, a novel plug-in system independent of a native JDT editor is constructed, visual editing of the. Java file is achieved, core functions such as grammar highlighting, code complementing and code formatting are integrated, meanwhile, butt joint with a JDT language server is supported to improve semantic analysis capacity, and finally on the premise that lightweight deployment and high compatibility are guaranteed, the semantic analysis capability of the. Java file is improved. And the Java development efficiency and the user experience are improved. By means of the technical scheme, the technical problems that in the prior art, an Eclipse Java editor plug-in is low in function integration level, insufficient in semantic support and lack of key editing functions are solved.

The invention discloses a Java enterprise-level rapid development method based on visual modeling. The method comprises the steps that modeling behaviors are collected to generate a cognitive map, a view is constructed, and operation behaviors are collected to generate cognitive feature data; generating a semantic constraint model, and fusing the cognitive features and the node features to construct the semantic constraint model; semantic consistency detection is executed, design and implementation differences are automatically compared, and bidirectional correction is triggered; generating a project engineering structure, and generating a structured code and an interface document according to the correction model; zero-shutdown migration evolution is executed, a migration relation graph is constructed, and seamless switching is carried out in a gray level mode; and performing semantic self-correction updating in the operation period, monitoring semantic offset and backfilling design content for closed-loop synchronization. According to the method, intelligent modeling and uninterrupted evolution of Java enterprise-level applications are realized through cognitive map driving and a multi-mode migration mechanism.

The invention discloses a visual cabinet based on JavaScript and Vue.js. A modularized architecture based on Vue is adopted to split a cabinet, equipment and a U bit into reusable UI components, the UI components comprise a cabinet component, an equipment component and a functional module, and the cabinet component is formed based on Rack.vue; the equipment component is formed based on Server Unit.vue, and is used for rendering different icons and status indicator lamps according to equipment types and supporting dragging to adjust the position of a U bit; the function module comprises a front-end framework, a UI (User Interface) library, a state management sub-module, a dragging library and a rear-end interaction sub-module; the front-end framework is Vue 3 Compression API (Application Program Interface) composite TypeScript, the UI library is composed of an Element Plus basic component and SVG / D3. Js used for customizing graphs, the state management sub-module is Pinia, and the drag library is Vue Dragable or native HTML5 dragmp; and the Drop API and the rear-end interaction sub-module are formed by compounding Axios with a WebSocket used for pushing real-time data. The invention further discloses a creation method. The method comprises the following steps: creating an overall skeleton based on HTML; rendering and beautifying the style based on the CSS; various operations are performed, the remaining capacity is automatically calculated, and machine information is displayed for verification.

The invention discloses an Excel file exporting method and system based on Java language, and relates to the technical field of computer software development, and the implementation of the method comprises the following steps: receiving an exporting request: the system receives the exporting request of a user through a Web interface or a graphical interface; analyzing template configuration: loading and analyzing an Excel export template specified by a user by a system; data binding and style rendering: the system binds a data set obtained from a database, a cache or other data sources with a template, and performs style rendering according to template configuration; an Excel file is generated, specifically, according to the export format selected by the user, the system calls an Apache POI library to create a Workbook object, and rendered data is written into a worksheet; and returning or storing the file. According to the method, the format and the content of the Excel file can be exported in a self-defined mode according to the configuration information of the user, the development efficiency is improved, and the expandability of the system is enhanced.

The invention provides a front-end high-frequency data security interaction method and system based on a Wasm, and relates to the technical field of network programming, network front ends and brain-computer interfaces, and the method comprises the following steps: securely storing protocol decoding parameters of Internet of Things equipment in a Wasm isolation environment; a composite authentication mechanism of JWT verification logic, domain name IP check and API authentication is provided in the Wasm through the closed characteristic of network assembly; parallel iterative processing is carried out on the multi-channel biological data in the wasm virtual environment, and analysis operation is executed; dynamically calculating a data time scale through a timestamp generation function, wherein the function comprises an index rewinding compensation mechanism; and each piece of parsed plaintext data is returned to the JavaScript calling end through an asynchronous data stream. According to the method, an authentication and authorization mechanism of the Wasm and the rear end, authentication and authentication in a Wasm isolation environment, analysis and a bridging architecture of the Wasm and the JavaScript are provided, so that the Wasm module is not called by the unauthorized Javascript.

The invention relates to the technical field of electronic design automation and artificial intelligence, in particular to an AI-assisted multi-target PCB automatic design system and method, and the system comprises a user interface layer which is used for a user to input a request through a Web-based interface; the natural language analysis module is used for processing the request and generating a JSON (JavaScript Object Notation) containing function requirements; the device selection module queries an internal device database and suggests an ESP32-C3 MCU (Microprogrammed Control Unit), a compatible relay and a support circuit; the circuit generation module is used for creating a netlist and a schematic diagram file and comprises an MCU (Microprogrammed Control Unit), a relay driver and related passive elements; the layout optimization module runs a multi-target algorithm and is integrated with PCB design software; experimental verification shows that compared with a traditional one-way process, by means of the method, the requirement interpretation accuracy can be improved to 94.2% from 76.3%, the design intention preservation rate is improved to 89.5% from 42.7%, the requirement change adaptation time is shortened to 2.1 h from 8.4 h on average, and the requirement interpretation efficiency and accuracy are improved.

The invention relates to the technical field of data processing, and particularly provides a method, a system, equipment and a medium for publishing JAVA API as an MCP server, and the method comprises the following steps: when a JAVA application runs, extracting metadata of all API interfaces by scanning registered request mapping in a Spring container of the JAVA application, and generating a structured ApiMetadata object set; generating a plurality of tool mode definitions conforming to a context protocol specification of a large language model in batches by using the ApiMetadata object set through a type mapping rule; on the basis of the tool mode definition, under the condition that a JAVA application does not need to be restarted, a corresponding API interface is dynamically registered to an MCP server, and the API interface can be configured to be found and called by a large language model in an intelligent agent. According to the method, second-level batch release from the JAVA API to the MCP tool is realized through non-intrusive scanning and automatic Schema generation.

A virtual machine (VM) management utility tool may deploy an object model that may persist one or more virtual machine dependencies and relationships. Through a web front-end interface, for example, the VMs may be started in a specific order or re-booted, and the tool automatically determines the additional VMs that need to be re-booted in order to maintain the integrity of the environment. Through the web interface, for example, the object model may be managed, and start-up orders or VM dependencies may be updated. For VMs that may not start under load, the object model may block access to the VM until the VM is fully initialized.

The invention provides a visual logic execution system and method based on logic block nesting and JSON (JavaScript Object Notation) dynamic configuration, and the system comprises a front-end visual editing module which is used for providing a logic block library and a nested canvas editor, receiving the dragging and nesting operation of a user based on a logic block, and storing the dragging and nesting operation in the front-end visual editing module; serializing the finally edited nested logic tree structure into JSON (JavaScript Object Notation) configuration data; the back-end dynamic analysis execution module is used for receiving and persisting the JSON configuration data, constructing an executable object tree isomorphic to the nested logic tree structure by dynamically analyzing the JSON configuration data, and executing the executable object tree to run logic edited by a user; and the front-end visual editing module communicates with the rear-end dynamic analysis execution module through a data transmission interface. The front end and the rear end are coupled through the JSON interface, and the front end and the rear end can be independently upgraded and expanded.

This application provides a method for implementing in-vehicle applications, a vehicle, and a storage medium, belonging to the field of computer technology. The method is applied to an in-vehicle system, which includes an application layer, an adaptation layer, and a service layer. The application layer runs multiple applications, each including a first code file providing Java and AIDL interfaces. The adaptation layer includes a second code file providing abstract services inherited from services in the service layer and AIDL interfaces. The method involves calling the AIDL interface of the adaptation layer through the Java and AIDL interfaces provided by the first code file of any application; calling the abstract service of the adaptation layer through the AIDL interface of the adaptation layer; and calling services in the service layer through the abstract service of the adaptation layer. In this way, the application layer only needs to interface with the adaptation layer, fixing the interfaces called by the application and eliminating the need to develop multiple application versions that interface with different interfaces, thus reducing application development costs and time.

The invention discloses a Java decompiling method, device and equipment and a computer readable storage medium. The method comprises the following steps: extracting a class file, a resource file, a configuration file and a static resource by decompressing a Java deployment package; based on a predefined third-party library feature library, utilizing Hash comparison and package name / method signature feature matching to accurately classify the class file into a third-party library or a self-researched code; performing byte code analysis on the self-developed class file to generate structured data, and inputting the structured data into a customized large language model (based on byte code-source code parallel corpus training) to generate an initial source code; the optimization step comprises the steps of correcting errors by a static grammar checker and automatically supplementing annotations by a byte code constant pool; reconstructing a project directory structure based on the package name; a class dependency graph is generated through static call graph analysis; and finally, integrating the initial source code, the dependency graph and the configuration file, automatically generating an interface document, a framework document and a configuration document, and realizing complete reverse engineering of the deployment package.

Systems and methods provide novel inventions for integrating mainframe applications into modern Continuous Integration / Continuous Deployment (CI / CD) pipelines using BEARDS (Build Engineering And Rapid Development System), a Java-based interface. BEARDS facilitates the automation of build, test, and deployment processes for mainframe applications by managing source code, dependencies, and artifacts in a technology-agnostic manner. The system dynamically generates Job Control Language (JCL) jobs to compile mainframe code, integrates with CI / CD tools like Jenkins, JFrog Artifactory, and Ansible, and ensures secure, compliant deployments through detailed instructions and verification processes. BEARDS also supports large artifact management, incremental builds, and seamless integration with cloud platforms, providing scalability and flexibility for complex applications. By bridging the gap between legacy mainframe systems and modern DevOps practices, the invention enables organizations to automate and streamline their mainframe development processes, reducing costs, improving efficiency, and maintaining the reliability and security of critical applications.

The application discloses an API real-time collection method based on an SPI extensible mechanism, provides a solution with good quasi-real-time performance and data consistency for collecting API interfaces of a unified platform, and defines SPI interfaces and extension points in a process uniformly by referring to the mechanism of Java SPI, and then the SPI interfaces are implemented by providers of various interfaces. In the whole access process, data is only retained on the providers of the interfaces, and there is no problem of data redundancy. In subsequent scene display logic, the SPI interfaces are called as needed, and are uniformly returned to the front end for display, so that better data real-time performance and data consistency are provided.

The invention relates to a webpage and Android interaction method and device, equipment and a storage medium, and the method comprises the steps: after a webpage container is loaded in a native environment, establishing a mapping relation between the webpage container and a native interface object; determining a calling interface based on the native interface object, and receiving a data acquisition request from a webpage script; in response to the data acquisition request, reading a structured data file from a local storage and transmitting the structured data file to the webpage script; and after the webpage script generates page content based on the structured data file, rendering the page content in the webpage container to complete interaction. By means of the method, the mapping relation between the webpage container and the native interface object is established, the number of Java methods directly embedded in webpage codes is reduced, code redundancy is avoided, the webpage container can call the native function more flexibly, and interaction efficiency and stability are improved.

The invention discloses an intelligent task management method and system based on AIoT. The method comprises the following steps: in a data acquisition stage, performing data interaction with Internet of Things equipment by using Java back-end service, and cleaning and preprocessing acquired data; in the intelligent analysis link, deep mining is carried out on data by means of an AI algorithm, and a task priority model and an equipment adaptation model are constructed. Task allocation is realized through a dynamic scheduling algorithm, and priority-based allocation, load balanced allocation and resource collaborative allocation are supported. And in the real-time execution stage, the Internet of Things equipment monitors the task execution state in real time and feeds back the task execution state according to the task instruction operation. And the closed-loop monitoring displays the task execution condition through a front-end interface. Intelligent, automatic and real-time monitoring of task management is realized, and the task management efficiency and the resource utilization rate are remarkably improved.

The invention relates to the technical field of computers, in particular to a Java back-end log real-time analysis and abnormity early warning system and method.The system comprises a plurality of modules for cooperative work: a log collection module obtains and structuralizes Java application log data in real time and stores the data in a distributed system; the trend analysis module constructs a trend chart based on a time sequence; the threshold management module dynamically calculates early warning, abnormal and serious abnormal thresholds of each interface; the anomaly detection module determines an anomaly level by comparing the trend change value and the ratio with a threshold value; the feature management module extracts abnormal log feature values and compares the abnormal log feature values with a blacklist library to filter false alarms; the alarm notification module executes graded alarm according to the abnormal grade and the preset authority, and collects and feeds back to the optimization system; according to the system, through multi-dimensional trend analysis and dynamic threshold management, the false alarm rate and the missing report rate are effectively reduced, the anomaly detection accuracy is improved, and stable operation of a Java back-end application is guaranteed.

The present application belongs to the technical field of enterprise-level backend service development and low-code platform, and particularly relates to a visual backend business flow execution method and system supporting hot updating and code generation, a storage medium and computer equipment.S1, a non-BPMN business flow is configured through a visual interface;S2, a DispatcherFlow executor instance is constructed; a dual-mode use mechanism is provided: a hot updating mode and a code generation mode.It is independent of Spring Integration in internal implementation, but is fully compatible with the programming paradigm of Spring Integration in interface and data model, supports visual embedding of Groovy script nodes for local logic customization, realizes hot updating in combination with dynamic management of Spring Bean, and can convert full-amount logic (including scripts) into standard Java source code during configuration.Development flexibility and production stability are taken into account.

The invention relates to the technical field of computer software, in particular to a method for automatically generating an Android system Binder communication SDK (Software Development Kit), which comprises the following steps: defining an AIDL interface source file and compiling to generate a JAR packet; defining an interface configuration JSON file; executing a pre-generation program, and creating an annotation mark Java file; integrating the annotation processor and compiling to generate a final SDK file, wherein the generation process of the final SDK file comprises the following steps: registering and triggering the annotation processor, analyzing the annotation, analyzing an AIDL interface method, constructing a code model and generating the SDK file; and using the generated SDK file. The technical problems that in existing Android application development, due to the fact that Binder communication bottom layer template codes are manually written, the development efficiency is low, the codes are redundant and prone to errors, and unified maintenance is difficult are solved, and normalization and consistency of communication codes among multiple services are fundamentally guaranteed.

The application provides a method for realizing business processing by Java Web service end, comprising the following steps: writing HTTP request mapping table in Java annotation; when the Web service end is started, automatically scanning the Java annotation of the service end environment by using Java reflection mechanism, and obtaining the HTTP request mapping table by analyzing the Java annotation; and parsing, encapsulating and taking the client-side business data as the entrance parameter, and injecting into the business processing interface. The application has the following advantages: by encapsulating various business processing flows of the Web service end, the complicated configuration steps are abandoned, beginners can easily understand and master the working principle and coding method of the Web application, and the development difficulty of small Web projects can be significantly reduced, and the development progress can be accelerated.

The invention discloses a Java-based micro-thread management system and method, the system comprises a micro-thread class, a queue, an actuator, a scheduler and the like, the micro-thread class defines a related interface and a queue storage instance, the running state of the micro-thread class is marked by an atomic variable and has multiple states, and the micro-thread class further comprises a life cycle control module. The management method comprises the steps of micro-thread instance creation and initialization, queue insertion and thread awakening, execution state switching and task execution, dynamic state management and control, priority scheduling strategy execution and the like. Wherein the actuator comprises a thread circulation and exception handling module, the scheduler comprises a dynamic priority chaotic mapping module, and the exception handling module has a classification processing and shadow thread mechanism and the like. According to the method, resource occupation of a single microthread is reduced through cooperation of all the components, the memory utilization rate is improved through the queue structure, and then the priority and the execution strategy can be flexibly set through the scheduler and the executor.

The invention discloses a to-do list collection and processing method and system based on Java, and belongs to the technical field of computer software, collection and processing of to-do lists are achieved through feature dictionary matching, and the method comprises the steps that multi-source data are collected, a to-do feature dictionary is constructed, and to-do information is recognized through a multi-dimensional matching algorithm; the rear end constructs a layered architecture based on the SpringBoot and the SpringMVC, and the SpringMVC is used for providing a standard RESTfulAPI (Application Program Interface) and supporting to-do query and state updating functions; the front end adopts Vue3 + ElementPlus to realize a response type Web interface, and a back-end interface is called through Axios to realize efficient collaboration of the front end and the back end. According to the method, automatic access of multi-source heterogeneous data and extraction of the information to be handled are realized, the accuracy of identification of the backlogs is improved, and automatic classification, priority ranking, reminding triggering and state updating of the backlogs are realized.

The present application provides a Java application control method and a management platform. The method comprises: receiving an image inputted by a user, the image comprising bytecode corresponding to a Java application and a runtime dependency file of the Java application, the bytecode corresponding to the Java application being obtained by means of compiling a source code corresponding to the Java application; on the basis of an available Java local interface in the bytecode corresponding to the Java application, identifying an available system call set of the Java application in the runtime dependency file, the available Java local interface being a Java local interface that can be used when the Java application runs in a target container; and when the Java application runs in the target container, controlling a system call actually used by the Java application to be within the available system call set. The method can efficiently and accurately limit system calls that an application can use, without affecting the service of the application.

The present invention discloses a gateway dynamic routing method, device, computer equipment and computer-readable storage medium based on Nacos service, and relates to the field of gateway routing technology. The method first responds to human-computer interaction operations and sequentially completes the creation of a routing configuration file, a Gateway microservice, a GatewayConfig.java file, an interface inheritance class and a change monitoring class. Then, based on an added listener, changes in the routing configuration file are monitored. Finally, when the listener receives configuration update information, a dynamic routing definition method is triggered to update the changed routing configuration file to the application process of the gateway. In this way, not only can routing monitoring be achieved based on the configuration of the Nacos service and the purpose of automatically taking effect without restarting the gateway service is achieved, but also there is no need to add database configuration information in the gateway service, which can greatly simplify the operation and facilitate practical application and promotion.