433 results about "Code development" patented technology

The invention discloses a low-code development automatic generation method based on a large language model, which comprises the following steps: collecting natural language description information input by a user, and preprocessing; inputting the standardized demand corpus set into a large language model, and executing semantic understanding and context modeling; matching the low-code component library based on the structured semantic representation to generate component assembly description information; generating and verifying an engineering skeleton according to the assembly description information, and outputting an executable low-code application initial version; running the executable low-code application initial version, and monitoring and analyzing execution difference to generate an increment adjustment instruction; and inputting the increment adjustment instruction into the large language model, performing reconstruction and adaptive optimization, and outputting an executable low-code application final version. According to the method, large language model semantic understanding and adaptive optimization technologies are fused, automatic generation and continuous optimization of low-code applications are realized, and the method has the advantages of intelligence, high precision and engineering reliability.

The invention discloses an AI low-code development component automatic generation method based on a knowledge graph, and relates to the technical field of AI low-code development, and the method comprises the following specific steps: constructing an AI development knowledge graph: constructing a knowledge graph containing a five-layer structure, collecting and preprocessing multi-source data, and extracting various entities and association relationships, so as to obtain an AI development knowledge graph; constructing an ontology structure, importing the ontology structure into a database, and forming a final knowledge graph through manual auditing and machine reasoning optimization; according to the method, the multi-dimensional AI development knowledge graph is constructed, user requirements are analyzed in combination with the optimized natural language processing model, the component configuration scheme is generated by introducing the multi-level reasoning mechanism, and finally the standardized low-code component is automatically generated, so that full-automatic conversion from the user requirements to the low-code component is realized, and the user experience is improved. The defect that an existing low-code platform depends on manual component configuration is overcome, the development period is greatly shortened, and the development cost and the technical threshold are reduced.

Systems and methods described herein enable adaptive, threshold-based modification of node maps representing ontologies, knowledge graphs, or code development pipelines using generative artificial intelligence. The disclosed platform can retrieve a node map and generate one or more candidate perturbations that modify nodes or relationships within the node map. The disclosed platform can evaluate the effect of the perturbations by comparing respective outputs against ground-truth data. Perturbations can be automatically determined based on changes in external datasets, compliance policies, or operational requirements. The perturbations can be implemented when a computed perturbation quality value satisfies a threshold quality criterion. As such, the system enables efficient, policy-compliant evolution of relational system architectures in dynamic environments.

The invention discloses a software development method and device based on artificial intelligence, equipment and a medium, and the method comprises the steps: receiving a development demand of a user through a natural language interaction interface, and capturing context state information of a current development environment; and a historical solution of the development demand is retrieved based on the dynamic knowledge graph through the product agent. And when the historical solution based on the development demand is retrieved, generating an executable code by encoding according to the hierarchical code generation strategy based on the historical solution through the architect agent. And performing grammar verification, operation verification and demand conformity detection on the executable code by combining the context state information based on a hierarchical verification mechanism through a test agent to obtain a verification result. And when the test agent judges that the verification result meets the development requirement, summarizing the executable code into a final code implementation scheme through the summarizing agent, and pushing the final code implementation scheme to a user. And the reuse rate and the quality control capability of code development are improved.

The invention provides an industrial PLC code generation system and method based on artificial intelligence, and the system comprises an input module, a model optimization module, a code generation module and a deployment module, the input module is used for receiving and analyzing a natural language, a flow chart and an I / O configuration table, and generating a structured logic constraint; the model optimization module is used for supporting low-precision reasoning and dynamic expert network load balancing by adopting an artificial intelligence model of industrial control field data fine tuning; the code generation module is used for outputting PLC codes meeting industrial standards and supporting simulation verification and error correction; and the deployment module is used for downloading the generated code to target PLC equipment or integrating the generated code to engineering software. According to the industrial PLC code generation system and method based on the artificial intelligence, a tool for generating the PLC code based on the natural language of the artificial intelligence is provided, the code development efficiency is improved, and the error rate is reduced.

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The present application discloses a test code repairing method applied to a code development platform. The method comprises: obtaining a test code corresponding to a source code, and then executing the test code to obtain execution information of the test code, wherein the execution information comprises abnormal stack tracking information output during execution of the test code; on the basis of the execution information, performing fault localization on the test code to obtain location information of a faulty code; on the basis of the location information of the faulty code, extracting context information, wherein the context information comprises at least one of a faulty test case, a fault description, or the faulty content; and inputting a prompt constructed on the basis of the context information into a language model and performing inference, so as to obtain a first repaired code. The method is used to perform fault localization in light of the execution information, extract the context information on the basis of the location information of the faulty code, and, on the basis of the context information, generate accurate and complex repaired code via an advanced language model, thereby adapting to various complex fault scenarios and improving repair efficiency and accuracy.

The invention discloses a low-code development platform event arrangement method and device based on native JS, and relates to the technical field of visual programming, and the method comprises the steps: responding to an event arrangement request sent by a user through a visual development interface, calling a visual framework, and presenting an event arrangement canvas in the visual development interface; configuring event nodes and event process connections in the event arrangement canvas; generating event flow configuration data based on the event node and the event flow connection; converting the event flow configuration data into a native JavaScript code, calling a rendering engine, and rendering a page style and page data of the visual development interface according to the native JavaScript code; and in response to an interactive operation of a user on the visual development interface, triggering the corresponding native JavaScript code to execute a corresponding event process. The development efficiency can be effectively improved, and the development period is shortened.

The invention relates to the technical field of code pre-configuration, in particular to a demand-oriented code pre-configuration method, system and equipment and a storage medium. Matching a plurality of performance function number sequences from the code function library according to the function requirements of the target scene; performing function demand sample frequent mining on the target scene to obtain a function demand input parameter and a function demand output identifier set; inputting the function demand input parameters into a plurality of function number sequences to obtain a plurality of function demand prediction outputs; traversing the plurality of function demand prediction outputs for outlier analysis to obtain a plurality of output prediction outlier factors; traversing the plurality of performance function number sequences to carry out calculation power demand prediction to obtain a plurality of expected calculation power; and based on the plurality of expected computing power and the plurality of output prediction outlier factors, sorting the plurality of performance function number sequences to obtain a target performance function number sequence, and executing code pre-configuration. The code development efficiency is improved, and the code practicability is enhanced.

The invention provides a sandbox isolation style debugging method and equipment based on a generative AI technology, and belongs to the technical field of low-code development, and the method specifically comprises the following steps: creating an isolated sandbox rendering environment, loading a user-defined style, and establishing an accurate corresponding relation between a preprocessed code and a final CSS; the custom style is injected into the last position of a head area of a sandbox environment through a created stack label to provide a real-time preview interface, so that when a user modifies the style in a style editor, a page in a sandbox updates and displays a modification effect; receiving a modification operation of a user on the style through the style editor or the style editor, and injecting a sandbox environment to trigger interface updating; and storing the final custom style file. By creating the isolated sandbox rendering environment, the style debugging process is limited in an independent space, the influence of style conflicts on the whole page is effectively avoided, and the debugging safety and stability are improved.

The embodiment of the invention discloses a contract generation method and device based on a low-code platform and a medium, and relates to the technical field of low-code development, and the method comprises the steps: obtaining a contract creation demand form inputted by a user through a form interface corresponding to the low-code platform, the contract creation demand form comprises contract dynamic data and contract attribute information; based on the contract attribute information, a corresponding contract template file is loaded on a front-end page through a preset plug-in, contract configuration information corresponding to the contract template file is determined, and the contract configuration information comprises form fields and business logic rules; and according to the contract configuration information, performing front-end and back-end verification on the contract dynamic data, and when the cooperative verification is passed, performing dynamic matching on the contract dynamic data and the contract template file to generate a target contract file.

The invention discloses a solution for intelligent low-code construction and automatic deployment of a multi-terminal application full stack, belongs to the technical field of software development, and solves the problems that an existing low-code development platform is high in use threshold, does not support customized development and is disjunction in application construction and application use. The invention provides an intelligent low-code construction platform. The intelligent low-code construction platform comprises a low-code construction platform, an application rendering unit, an application deployment unit and a display interaction unit, the low-code construction platform is used for constructing a plurality of application pages according to the developer personalized configuration information, and associating the plurality of application pages according to set association logic information among the plurality of application pages to obtain an application program; generating application data according to the application program, and storing the application data; the page cross-end rendering unit is used for performing Web end and App end rendering on the application program according to a defined page rendering protocol to obtain a Web end application and an App end application; and the display interaction unit is used for displaying the interaction function and the application logic of the Web end application and the App end application.

Disclosed in the present application is a code generation method, which is applied to a code development platform. The code development platform comprises a main plug-in and a plurality of extension plug-ins, wherein the main plug-in is used for providing an actual value of a basic variable of a prompt, and the plurality of extension plug-ins are used for extending the prompt in terms of a programming language, scenario or development framework. The method comprises: a main plug-in receiving a code generation instruction, and then determining, in response to the code generation instruction, at least one extension plug-in corresponding to the code generation instruction from among a plurality of extension plug-ins; the main plug-in receiving a prompt returned by the at least one extension plug-in, wherein the prompt is obtained by means of the at least one extension plug-in extracting an actual value of an extension variable on the basis of extraction logic and replacing an extension variable in a prompt template with the actual value of the extension variable; the main plug-in performing inference by means of a language model and on the basis of the prompt, so as to obtain a second code segment. In the method, a prompt of a specific code generation task and the implementation of prompt engineering is entrusted to corresponding extension plug-ins, thereby realizing flexible extension of prompts.

The invention belongs to the technical field of low-code development platforms, and particularly relates to a low-code platform model construction and dynamic execution method and system based on a hybrid DSL (Digital Subscriber Line), and the method comprises the steps: describing static model information in an application by using a structure DSL in a declarative grammar; defining a behavior DSL in a mounting mode under a corresponding element of the structure DSL; analyzing the structure DSL into a meta-model object tree in the platform, and converting the behavior DSL into an executable expression tree / intermediate representation; jointly driving the meta-model object tree and the expression tree / intermediate representation by utilizing a template engine, and automatically generating at least one application code in a front-end page, a back-end interface and a database script; a common structure DSL and a behavior DSL are combined and packaged into a scene template, and the scene template is stored in a template library so as to be reused by different service scenes, and modularization and templating of service modeling are realized. The complexity of the system is reduced, and the development efficiency and quality are improved.

The invention provides a configurable processing method, system and device for multi-form process event linkage and a medium, and belongs to the technical field of low-code development platforms. A basic database containing associated fields is constructed, a process database is constructed, and a data mapping relation is established between the process database and the basic database through the associated fields; according to the current node identifier of the process database and the service state of the basic database, determining a relationship between nodes; cross-form data query or editing is realized by binding the process model and the associated field; configuring an operable button according to the business rule and the operation authority; the method comprises the following steps: configuring a custom script, creating a process model, configuring a process event, defining a process approval node and a process rule, ensuring process jump after state change, and forming end-to-end state synchronization. According to the invention, the business logic realization process can be simplified, and all related business rules and verifications can be ensured to be executed at correct opportunities, so that the business processing efficiency is effectively improved.

The invention relates to the technical field of software development, and discloses a development platform and a development method of a visual low-code system, and the development platform comprises a data management module which supports a plurality of database types, provides data backup, recovery, encryption, compression and caching mechanisms, and can realize the storage, management and security protection of data; the intelligent service module is used for providing code generation, error detection and repair and authority management services and integrating data mining and machine learning algorithms to realize optimization of a business process; the application development module supports multiple development modes and multi-user cooperative development, and provides intelligent form generation, intelligent code association and intelligent algorithm library functions; the dynamic display module provides a visual graphic operation interface, supports multi-terminal access and real-time data display, and can dynamically adjust service logic and respond to changes of service requirements in real time. According to the method, the development threshold is obviously reduced, and efficient, flexible and internationalized low-code development is realized.

The invention discloses a method and a system for automatically generating a business APP of a fusion terminal, which are applied to the technical field of smart power grids, and the method comprises the following steps: accessing an external storage device to a target fusion terminal; the management APP of the target fusion terminal obtains basic information of a service APP needing to be generated, and sends the basic information to the packaging APP and the guarding APP; the packaging APP selects a corresponding adaptive template from a template library according to the adaptive data, and performs parameter configuration on the selected adaptive template to form a service APP needing to be generated; the management APP is locally deployed and operated in the target fusion terminal; and the guarding APP maintains the running service APP according to the configuration data. According to the method, code development is not needed, and the service APP is automatically configured and generated; meanwhile, automatic operation and maintenance of the generated service APPs are achieved, the service APPs which are not needed temporarily are directly deleted from the fusion terminal, and storage resources of the fusion terminal are effectively saved.

Embodiments of the present invention provide a system for performing multi-platform software code merging and migration using hybrid neural networks. The system is configured for identifying source files in a software code development environment, wherein each of the source files comprise software code associated with entity applications that is developed by one or more users in one or more software programming languages, translating the software code in each of the source files that is developed in the one or more software programming languages into a translated code that is in a first software programming language, merging the translated code associated with the software code in each of the source files into a unified code, wherein the unified code is in the first software programming language, automatically performing build and packaging of the unified code for deployment, and automatically deploying the packaged unified code into a software code production environment.

The invention discloses a low-code platform design system based on modularization and a dynamic extension component, and relates to the technical field of low-code development, and the system comprises a form module which is used for standardly defining a data model and dynamically rendering a user interface, realizing unification of form configuration through a structured metadata specification, and establishing a form module; bidirectional binding of the view and the data model is realized; the process module is used for realizing modeling, execution and state management of a business process, supporting automatic task scheduling and multi-instance management based on standardized process elements, and keeping consistency of a process state through an increment synchronization mechanism; and the data processing module is used for cooperatively managing platform data resources, supporting dynamic expansion and decoupling dependence between the form module and the process module through an event-driven mechanism. According to the method, the strong binding relationship between the decoupling form and the process is established, the reusability of the process module is improved, and the process module is independent of the form and can independently provide API service to the outside, so that the method is adaptive to more business scenes.

The invention relates to the technical field of industrial Internet of Things, in particular to a secondary development system and method based on an industrial Internet of Things gateway. Comprising a client and an industrial Internet of Things gateway. The client issues equipment information and variable information of the configured script equipment to the industrial Internet of Things gateway; the industrial Internet of Things gateway comprises a secondary development module; an initialization module; an object model module; a variable module; and a Python SDK module. According to the invention, system modular decoupling is realized through a publishing and subscribing mechanism of a built-in MQTT server, dynamic extension of multi-industrial protocol conversion and edge computing capability is supported, and a low-code Python SDK development environment is provided. Compared with the prior art, according to the scheme, the edge secondary development period is greatly shortened, the development efficiency is improved, and the core pain points of poor protocol expansibility, openness limitation, high secondary development starting difficulty, large workload and the like in the field of the industrial Internet of Things are effectively solved.

The invention belongs to the technical field of code-free development, and particularly relates to a Web3D zero-code interactive design platform and method based on a unified model, and the platform comprises a unified business logic model UBLM and a platform-independent, self-described and structured data container which is used for completely defining all behavior logics in 3D interactive application, including events, conditions, actions, parameters, variables and flow relations; the dual-mode editor comprises a form-type editor and a blueprint-type editor, and the form-type editor and the blueprint-type editor can be used for completely creating, editing and visualizing the same UBLM and realizing real-time state synchronization; and the interpreted rule execution engine IREE is a lightweight engine running in a JavaScript environment of a browser and is responsible for analyzing the UBLM during running and converting the declarative logic into an executable instruction in a 3D scene through a rule matching and function registration mechanism. According to the invention, the development and cooperation efficiency can be improved, and the iterative maintenance process is simplified.

Apparatus, method, and software of managing dependencies in branches. In an embodiment, a dependency manager is implemented on an automation tool communicatively coupled to a package registry that stores code packages comprising main packages and branch packages. The dependency manager is configured to expect a publish command at the automation tool to publish a branch package for a development branch of main code, identify a name of the development branch, and modify a scope in a metadata file of the branch package with the name of the development branch. In an embodiment, the dependency manager is configured to predict an install command at the automation tool to install one or more dependencies specified for the development branch, and modify each dependency in the metadata file to reference a published branch package corresponding with the dependency when a valid published branch package is found.

The invention relates to the technical field of code development, and provides an AI code effective proportion statistical method and device, a medium and equipment. The method comprises the steps of obtaining related information of codes submitted by a user; according to a user name in the related information, searching log information of an AI code generated by a corresponding user through adoption of a code generation tool; under the condition that the file name of the code submitted by the user is matched with the file name in the log information, searching a corresponding submitted code segment from the code submitted by the user according to the mark information in the log information; and calculating the similarity between the AI code and the submitted code segment, and counting the effective proportion corresponding to the AI code according to the similarity. Therefore, the calculation of the effective proportion considers the quality of the AI code, so that the effective proportion can accurately reflect the real contribution of the AI code, and the calculation process is automatically realized, thereby avoiding the tedious, time-consuming and labor-consuming conditions of manual labeling.

The invention belongs to the technical field of low-code development, and provides a low-code development method and system based on mixed orchestration of agents and intelligent services, and the method comprises the steps: creating an application form; according to the business scene function of the created application form, constructing an intelligent agent, and obtaining mapping information between the business scene function and the intelligent agent; performing task decomposition on the created application form to obtain a plurality of sub-application forms; judging the service scene function of the obtained sub-application form, and analyzing the function intention of the sub-application form; task arrangement is performed according to a judgment analysis result of the sub-application form, and arrangement agent calling or arrangement intelligent service calling is selected according to a function intention analysis result of the sub-application form, so that the difficulty of low code development in a complex application scene is reduced; functions of a low-code platform are packaged into an intelligent agent, and intelligent and efficient development of low codes is achieved through hard code mixed arrangement of the intelligent agent and intelligent services.

The invention relates to the technical field of computers, and discloses an application development method based on a large model technology, and the method comprises the steps: 1, carrying out the demand analysis, and converting a fuzzy business description into an executable technical scheme through natural language understanding and a structured modeling technology; 2, carrying out architecture design and planning, and constructing a code-free and low-code dual-mode collaborative architecture; 3, establishing a visual arrangement engine, and establishing a dual-mode development interface of a code-free development mode and a low-code development mode; step 4, aiming at different requirements of a code-free scene and a low-code scene, a dynamic adaptation strategy is adopted, and differentiated resource management of lightweight adaptation and elastic expansion is carried out; and step 5, performing field adaptation, and obtaining the industry exclusive capability according to the general model and the field knowledge through code-free rapid adaptation and low-code deep customization. By means of the scheme, the development threshold can be lowered, the efficiency can be improved, and the accuracy of cross-industry application is improved.

The invention provides a business system development method and device and a storage medium, and the method comprises the steps: in the business system development method, obtaining a visual configuration page based on a front-end low-code framework, configuring a data verification rule corresponding to the visual configuration page, and generating an initial business system based on the configured visual configuration page; and performing data synchronization processing on each service module in the initial service system, and generating a target service system, thereby realizing online development of the service system, improving the development efficiency through low-code development, reducing the development threshold, solving the problem of difficult updating of a mobile terminal through non-release updating, performing data synchronization on each service module, and improving the user experience. Therefore, integration of service modules of distributed transactions is realized, data consistency and high availability of the generated target service system in a distributed environment are ensured, and the development efficiency of the service system is improved.

The present invention relates to a platform management method and system based on low-code development, the method comprising: obtaining multiple heterogeneous data sources, extracting first data from the multiple heterogeneous data sources, and preprocessing the first data to obtain standard data for constructing a knowledge graph. A plurality of different entities and entity relationships between different entities are obtained from the standard data, and a knowledge graph is constructed based on the plurality of different entities and entity relationships between different entities. The entity nodes in the knowledge graph and the entity relationships between different entity nodes are mapped to a low-dimensional space for vector representation through a graph embedding model to extract global knowledge including entity relationships between different entity nodes and network topology structures. A predefined business process and a plurality of decision points corresponding to the execution of the business process are obtained, and the execution results of the business process are evaluated by executing global knowledge and current business process variables to obtain corresponding guiding decisions.

The invention discloses a self-defined component configuration method and system based on a low-code platform, and belongs to the technical field of low-code development, and the method comprises the following steps: constructing a reusable dynamic structure unit library by deconstructing a component function into an atomized dynamic structure unit and defining metadata and context contracts of the dynamic structure unit; component functions are disassembled into template fragments, logic controllers and metadata descriptors in an atomized mode, standardized metadata and context contracts are defined, a reusable dynamic structure unit library with high cohesion and low coupling is constructed, label retrieval according to function categories is supported, a version control mechanism guarantees historical version backtracking and automatic upgrading, and the reliability of the system is improved. Resource packaging simplifies an integration process for a standardized module, so that the repeated development cost is remarkably reduced, and an efficient and extensible unit basis is provided for dynamic configuration.

The invention belongs to the field of intelligent workshop scheduling, and particularly discloses a large model enabled workshop scheduling end-to-end self-decision engine, method and device. According to the method, the large model is positioned as a core decision maker instead of a traditional auxiliary tool, so that the powerful capabilities of the large model in the aspects of natural language understanding, context learning, complex logical reasoning and content generation are fully utilized; according to workshop real-time state information, a dynamically changing workpiece pool, a scheduling target input by a user through a natural language and emergency description, an autonomous and end-to-end scheduling decision can be directly carried out, so that the rapid response capability and intelligent processing level of a scheduling system to dynamic events are improved, and the scheduling efficiency is improved. And the application threshold is reduced through natural language interaction, the dependence on explicit programming and rule customization is reduced, a low-code development paradigm is developed, and the method has a far-sighted decision potential exceeding a traditional heuristic rule.

The invention discloses a code checking method and device, equipment and a storage medium, and relates to the technical field of code development. According to the method, the random number suffixes are added to the serial numbers of the corresponding violation codes in the violation exemption statements in the low-level static exemption files corresponding to the low-level codes, and the file paths corresponding to the violation codes are replaced with the file paths of the high-level codes; the hierarchical structure of the module where the corresponding violation code is located is matched and updated on the basis of the high-level code hierarchical table, and then an updated low-level static exemption file is obtained; according to the method, each violation exemption statement in the updated low-level static exemption file can be effectively identified, cross-level multiplexing of the violation exemption statements is realized, repeated work caused by failure of the violation exemption statements during different-level check is avoided, human intervention is reduced, and the accuracy and efficiency of code check are improved.