121 results about "Domain-specific language" patented technology

The invention discloses a multi-agent task arrangement method and system, and relates to the technical field of artificial intelligence. In the method, firstly, a task demand is obtained, key information and intention of the task demand are extracted, and task semantics are obtained; secondly, based on the task semantics and the business standard process template, obtaining a business standard process template matched with the task demand; then, according to the matched business standard process template and task semantics, a task context is constructed, and a domain specific language DSL is generated through reasoning according to the task context; thirdly, the DSL is analyzed, a task dependency graph is constructed according to the DSL analysis result, and the task dependency graph is converted into BPMN process model data; and finally, sub-task scheduling and execution of the sub-agents are carried out according to the BPMN process model data. According to the method provided by the invention, the dependence on professional developers or process engineers can be reduced, the response and planning time of complex tasks can be shortened, the result predictability can be improved, and the reasoning cost can be obviously reduced.

The invention relates to a low-code visualization optimization method and system for power credential development, and the method comprises the following steps: S1, obtaining data in a credential environment, recognizing the interface difference and performance bottleneck points between components through a compatibility test matrix, and building a standardized adaptive interface specification; s2, obtaining a standardized business object model based on the standardized adaptive interface specification; based on the business object model, defining attributes, relationships and constraint rules of each business entity, and forming a data dictionary and an interface specification special for the electric power field; s3, on the basis of the data dictionary and the interface specification special for the power field, constructing a DSL (field specific language) of power visualization; s4, a dragging type interactive design is adopted, and the visual operation is converted into a DSL configuration file; and S5, automatically converting the DSL configuration into a React or Vue component code through a code generation engine, and carrying out compatibility optimization on the kernel of the creative browser. According to the invention, the power credential development efficiency is effectively improved.

The invention relates to the technical field of data compliance. According to the AI-driven data compliance rule intelligent method, device and equipment and the medium, the method comprises the steps that natural language input of a user is obtained, and user demand description is obtained; performing multi-dimensional semantic analysis on the user demand description through a pre-trained large language model, and generating a structured semantic framework comprising an intention vector, an entity relation graph and a constraint condition set; performing compliance correction on the structured semantic framework to generate an optimized semantic framework; performing logic conflict detection and performance simulation test on the domain-specific language rule to generate an executable compliance rule; and deploying the executable compliance rule to the target data governance platform so as to achieve the technical effects of reducing the learning threshold and the manual error rate generated by the domain specific language rule, improving the semantic adaptation capability in a complex business scene and optimizing the operation stability of the rule on the data governance platform.

The invention discloses a data analysis method and device, equipment and a storage medium, and relates to the technical field of data analysis, and the method comprises the steps: analyzing a user analysis demand according to a data big model and prompt word information corresponding to a preset grammar rule, and obtaining a demand operation type and a data processing sequence; performing instruction generation according to a preset grammar rule, the demand operation type and the data processing sequence to obtain a domain-specific language; and analyzing the to-be-analyzed data according to the domain-specific language and the data analysis engine to obtain a target data analysis result. Complex data analysis and visualization requirements of a user are expressed in a concise language description through a set grammar rule, a large model only needs to generate a domain-specific language, and then the domain-specific language is analyzed by an analysis engine, so that the use cost of the large model is reduced, and meanwhile, the data analysis efficiency is improved.

The invention relates to the technical field of financial report data processing, in particular to a financial report data processing system based on a domain-specific language. According to the method, calculation and verification of financial report subjects are completed through an integrated pipeline of DSL, AST / IR, DAG and parallelization / vectorization / caching / JIT; through an STRICT / ZERO / SKIP strategy machine and assertion type verification, the robustness and audibility are ensured; under expression-level and execution-level multi-optimization, considerable throughput and stability improvement are realized. According to the method, the financial report formula can be flexibly defined through the DSL, automatic analysis and calculation execution can be realized, and unified processing of dynamic balance verification can be realized, so that the processing efficiency and accuracy can be comprehensively improved.

The invention relates to a cross-platform software development method and related equipment. The method is applied to the electronic equipment providing a low-code tool chain, and the low-code tool chain comprises a low-code development platform and a compiler. Based on the configuration of the meta model of the vehicle-mounted resource, the low-code development platform generates an automobile domain specific language VDSL file for describing the vehicle-mounted software function; the compiler obtains the VDSL file, compiles the VDSL file into running program codes running in different controllers and sends the running program codes to a cloud server, and the cloud server is used for sending the running program codes to the different controllers. According to the method and the device, the running program codes corresponding to different controllers are generated through the unified VDSL, so that cross-platform running software programs can be conveniently developed in the same platform, the software development efficiency is improved, and the development cost is reduced.

The invention discloses a sheet metal part manufacturability reasoning method based on space-semantic map alignment, and relates to the field of manufacturing-oriented design evaluation and industrial knowledge reasoning, and the method comprises the following steps: carrying out geometric analysis on a CAD geometric model of a sheet metal part to be evaluated; abstracting the geometric features and the topological / metric spatial relationship thereof into a computable spatial semantic graph; performing semantic analysis on the process specification described by a natural language, converting the process rule into formalized logic check expression by using a large language model through context learning, and generating an executable domain-specific language check script; executing the script on a spatial semantic graph, realizing deterministic reasoning through graph matching and attribute verification, and completing accurate mapping and violation detection of text rules and geometric features; and outputting an interpretable diagnosis result containing violation feature positioning, triggering rules and numerical evidence. In order to solve the problems that a process rule'natural language-geometric model 'has a semantic gap, a traditional rule system is poor in adaptability, and an end-to-end learning method is high in data dependence and cannot be explained, a new rule can be quickly adapted under the condition that a large amount of data does not need to be labeled and a model does not need to be retrained; the method can accurately identify the violation of the micro-size and spatial relationship, and has reasoning preciseness, interpretability and engineering availability.

The invention discloses a dynamic self-verification method based on service flow-test flow homologous heterogeneous execution. The method comprises the following steps: uniformly describing service logic and a corresponding interface test contract through a strong type of domain specific language (DSL); the method comprises the following steps: simultaneously compiling homologous DSL descriptions into stateful business workflows executed by a process engine and stateless and combinable atomic test contract sets called by a test executor by utilizing a double-path compiling engine; during operation, loose coupling synchronous triggering and execution of a service flow and a test flow are realized based on a high-throughput event bus, and real-time and high-fidelity contract verification, performance monitoring and chaos probe testing are performed on cross-system interface calling in a production environment. According to the invention, the traditional post-event and off-line integration test is converted into the in-event, on-line and continuous system endogenous capability, and the industrial problems that the complex enterprise system group integration test is difficult and the operation and maintenance monitoring is passive are effectively solved.

Techniques are provided for processing rules expressed in a domain-specific language. A computing system may receive a rule including an entity identifier, a property of the entity, and one or more logical operators delimited by syntactic tokens of the language. The rule is parsed into an abstract syntax tree (AST) representation that structurally represents entities, properties, and conditional logic, and the AST is transformed into an executable function configured to evaluate input data objects defined according to a machine-readable data model. Execution of the function on input data produces a logical outcome along with intermediate results corresponding to evaluations of individual conditions and logical operators. The computing system generates an execution trace comprising the logical outcome and the intermediate results, the trace being stored in a structured log retrievable to provide evidence of how outcomes were determined.

In one aspect, an example method can be used with a system comprising a set of domain specific language (DSL)-compatible modules. The method can include: (i) designing a template for an interactive media object, wherein the template includes one or more fixed portions and one or more variable portions; (ii) curating the designed template by at least using received input to modify the one or more variable portions of the designed template; (iii) modifying the curated template by replacing a content placeholder of the curated template with a corresponding content item, thereby automatically converting the curated template into an interactive media object definition file; and (iv) using the interactive media object definition file to render and present, via a media selection menu of a presentation device, an interactive media object defined by the interactive media object definition file.

The invention provides a multi-industry supply chain plan configuration method, which comprises the following steps of: converting time series data of a multi-industry supply chain service into an event-driven grammar structure, and constructing a uniform data analysis layer through a domain-specific language; the method comprises the following steps: decomposing a cross-industry business rule into configurable DSL semantic units to form an atomization rule discrimination module; analyzing and executing the DSL semantic unit in real time through a dynamic rule engine; interaction between the business rules and the execution engine is realized based on a DSL compiler, and supply chain plan configuration results adaptive to different industries are generated; and carrying out dynamic aggregation, impact reduction and prediction error analysis on the supply chain data through a time sequence calculation framework, and generating a real-time business guidance index. According to the scheme, business rules are unified and abstracted through DSL, cross-industry rapid adaptation is achieved, rule dynamic configuration supports millisecond-level effectiveness, a visual DSL editor reduces coding requirements, and a time sequence calculation framework is combined with complex aggregation and loop detection.

The invention relates to the technical field of block chain technology and education data management, and discloses an education data management system and method based on a block chain, and the method comprises the steps: constructing an education business field specific language, and training an education business intention understanding model; applying a constraint solving algorithm to solve the smart contract parameters meeting various constraint conditions, and generating a smart contract code meeting multi-objective optimization; performing multi-level formalized verification on the generated intelligent contract code; constructing an educational policy and regulation knowledge base and calculating a contract policy compliance score; implementing a hierarchical transition strategy; the system is constructed based on a domestic Feiteng processor and a Kylin operating system, and stable operation and data security in an extreme environment are ensured; the technical problems of difficulty in intelligent contract development, difficulty in policy compliance evaluation and complexity in contract evolution upgrading in education data management are solved, and reliable storage, safe sharing and effective management of education data are realized.

The embodiment of the invention provides a database statement processing method and device and a data management system.The database statement processing method is applied to the data management system, the data management system is configured with multiple databases, and the method comprises the steps that a to-be-rewritten database statement associated with a target database in the multiple databases is obtained, generating a source syntax tree based on the to-be-rewritten database statement; selecting a target rewriting rule associated with the target database from preset domain-specific language rewriting rules, and determining a statement rewriting type of the to-be-rewritten database statement; updating the source syntax tree according to the statement rewriting type and the target rewriting rule to obtain a target syntax tree matched with the target database; and generating a target database statement based on the target syntax tree, and executing a data processing operation corresponding to the target database statement in the target database.

The invention provides a cross-modal content generation method, system, equipment and program product based on domain-specific language model driving, which are applied to the field of artificial intelligence content generation, and the method comprises the following steps: initializing a domain-specific language DSL file, calling a service module to process commodity information to generate first content data, writing the first content data into the DSL file, and writing the first content data into the DSL file; according to the scheme, the problems that the page making process depends on manpower, and collaboration is low in efficiency can be solved, end-to-end automatic generation of the marketing page is achieved, and the content generation efficiency is improved.

Provided in the present disclosure are a method and apparatus for visual debugging, and a computing device, a computer-readable storage medium and a computer program product. The method comprises: on the basis of a code in an integrated development environment, generating a domain-specific language file associated with at least one graph in the code, wherein each graph represents a workflow in the code; on the basis of the domain-specific language file, acquiring node information and edge information of a graph corresponding to a workflow to be debugged; and on the basis of the node information and the edge information, generating a visual graphical representation of the graph.

The invention relates to a water system upstream and downstream relation modeling and graph database automatic mapping method based on a domain-specific language. The method comprises the steps that nodes of a water system network are converted into DSL texts according to the pre-designed domain-specific language; performing automatic completion on the DSL text; performing automatic verification on the DSL text after automatic completion; performing relation analysis and data structuring on the DSL text after automatic verification so as to produce nodes and a relation data table; importing the nodes and the relational data table into a graph database; and visualizing the data in the graph database. According to the method, the abstract and verification of the grammar level can be carried out aiming at the water system structure relation characteristics, so that the high self-adaption of the business layer is realized, and the modeling efficiency, accuracy and automation level are greatly improved.

The application discloses a real-time dynamic packing optimization method and system for high hybrid SKU, relates to the technical field of logistics management, and comprises the following steps: acquiring a loading task and a current packing state; analyzing field-specific language business rules to generate executable constraint functions, graph construction metadata and arbitration metadata; constructing constraint dependency graphs, geometric graphs and heterogeneous state graphs; updating the heterogeneous state graph when an order is changed or a container is changed, and determining an influence domain based on logical association and geometric adjacency; inputting the updated heterogeneous state graph into a constraint-aware graph neural network to output a priority score and a position preference vector; generating an action set in the influence domain, pruning and locally re-optimizing to obtain an updated packing scheme. The scheme realizes rule structured expression, incremental solution of the influence domain and local rapid repair, reduces the dynamic rearrangement calculation amount and response time delay, and improves the packing compliance, stability and loading rate.

A test case generation method. The method comprises: acquiring a structured rule for a first application programming interface (API) and a natural language description for the first API; querying a domain-specific language (DSL) database on the basis of the natural language description for the first API to obtain a query result, wherein the query result comprises at least one of: a DSL sample where a natural language description part matches the natural language description for the first API, a DSL error correction example, or a DSL syntax; constructing a prompt on the basis of the query result, the natural language description and the structured rule; and inputting the prompt into a language model to generate a target DSL code, wherein the target DSL code is used for testing the first API, or is used for generating a test case for performing integration testing on the first API and a second API. In the method, a DSL sample, an error correction example, and a syntax are dynamically matched from a DSL database to generate a highly controllable and structured context, and a test case is generated by means of language model inference on the basis of the context, thereby integrating unit testing and integration testing, and reducing repeated development.

The invention belongs to the technical field of automatic driving scene automatic generation methods, and particularly relates to a text-driven automatic driving scene automatic generation method, which comprises the following steps of: receiving an automatic driving scene natural language description input by a user, processing the natural language description, extracting scene key elements, and generating a text-driven automatic driving scene; the scene key elements comprise road types, traffic participants, environmental conditions and detailed information of each element, matching and calling a scene template based on a hierarchical scene library, synthesizing the extracted scene key elements and the scene template to generate a complete scene description, converting the complete scene description into a domain-specific language script, and displaying the domain-specific language script on the basis of the scene template. And integrating the DSL script to a simulation platform, running the generated test scene in the simulation platform, monitoring the behavior of the automatic driving system in the test scene in real time, and generating an evaluation report based on a predefined evaluation index.

The present invention relates to a method for error detection and handling in a DevOps-pipeline for a cyber physical system and related system. The method comprising the steps of: writing and committing code destined to be used for monitoring and / or controlling operations of components of the CPS; compiling the code and packaging it into deployable units; deploying the code per deployable unit into one or more component of the CPS; connecting one or more domain-specific language, DSL, elements to respective one or more CPS components; gathering data from the respective one or more CPS components by the one or more DSL elements; processing by the one or more DSL elements the data gathered in a format of the respective one or more CPS component; comparing by the one or more DSL element the processed data to a predefined failure condition to detect a failure.

The invention provides a method and system for generating an index library in a rapid configuration mode based on a domain-specific language, and relates to the technical field of computer software. Index configuration information, input by a user in a configuration interaction interface, of a target index is received; performing lexical analysis, grammatical analysis and semantic verification on the index configuration information to obtain target configuration information; according to the target configuration information, generating an executable code which can be identified by the target calculation engine, wherein the executable code is an SQL query statement; scheduling the executable code to a target calculation engine for execution, extracting data from the associated data source and completing calculation to obtain a target index, and storing the target index to a preset index library; the target index is registered to the index library center for metadata management, and an index query and data service interface is provided externally, so that efficient configuration generation and flexible iteration of the index library can be realized while the accuracy and controllability of the generation result are ensured, and the technical threshold is reduced and the existing data assets are reused.

The present disclosure provides a serialization and deserialization method of an FPGA-based IPU acceleration service grid. The serialization and deserialization method of the FPGA-based IPU acceleration service grid comprises: determining all message objects of remote procedure calls to be sent and received; allocating a sending descriptor ring and a receiving descriptor ring and configuring a control register through a memory-mapped I / O operation; defining a message format of a remote procedure call through a domain-specific language for serialization and deserialization; when in a transmission mode, creating a sending descriptor and filling it into the sending descriptor ring; the FPGA obtains the sending descriptor from the sending descriptor ring and sends encoded data to a system-on-chip; and the system-on-chip sends the encoded data through a network transmission protocol. The embodiments of the present disclosure solve the problems of performance bottleneck, high delay and high CPU resource occupation in the prior art.

The invention discloses an automatic response arrangement method and system for an emergent public security event. The method comprises the following steps: monitoring and acquiring emergent public security event information in real time; analyzing the information to determine whether the information is a security event; automatically orchestrating the determined security events through a predefined Domain Specific Language (DSL) syntax to generate a handling workflow; and executing a corresponding response task according to the disposal workflow. According to the invention, through standardized and automatic flow arrangement and execution, the response speed and the disposal efficiency of emergencies can be effectively improved.

Systems and techniques for implementing a petrophysics assistant are described herein. An example method may include receiving, by a control language model configured to perform natural language processing, queries related to one or more subject fields; selecting one or more domain-specific language models from a plurality of domain-specific language models to answer the query based on the one or more subject domains associated with the query and respective domain-specific knowledge from each domain-specific language model of the plurality of domain-specific language models; sending a request to answer the query to the one or more domain-specific language models; and generating, by the control language model, a response to the query based on one or more responses to the query received from the one or more domain-specific language models.

The invention relates to the technical field of computer software, and discloses an intelligent inspection system and method for an insurance business process based on a domain-specific language, and the system comprises a business process modeling and DSL module which carries out the unified abstraction and executable modeling of the insurance business process through the domain-specific language, and obtains a process model which can be executed by a machine; the intelligent inspection execution and data acquisition module drives the operation of the insurance business process through an execution process model, and acquires full-link business data of the insurance business process in the operation process; the service attribution analysis module is used for positioning an abnormal root cause in an insurance service process through an attribution algorithm based on the full-link service data; and the intelligent report generation module is used for generating a natural language inspection report through an AI large model based on the insurance business process context provided by the abnormal root cause and the process model. According to the invention, end-to-end monitoring, accurate root cause positioning and automatic intelligent report generation of the insurance service process can be realized, and the operation and maintenance efficiency of the insurance service is improved.

The embodiment of the specification discloses an intelligent agent, a processing method, device and equipment of a project, which comprises the following steps: receiving project requirement information input by a user for a target project; performing intention analysis processing on the target project based on the project requirement information, and determining logical description information of the target project; converting the logical description information of the target project into an execution script corresponding to the project requirement information through a preset domain-specific language based on the logical description information of the target project, and performing compilation processing on the execution script corresponding to the project requirement information to obtain a corresponding device control instruction sequence; based on the device control instruction sequence, sending corresponding operation commands to terminal equipment corresponding to the target project in sequence, and obtaining a result of the terminal equipment executing the operation commands corresponding to the device control instruction sequence, and determining an execution result of the target project based on the obtained result of executing the operation commands.

The application provides an artificial intelligence agent execution method and device, electronic equipment and storage medium, comprising: acquiring a domain-specific language script for describing an artificial intelligence agent execution process, the domain-specific language script containing a main program area, a variable area, a node area and a pipeline area; extracting input parameter definitions from the main program area, extracting internal variable definitions from the variable area, extracting input variable definitions, output variable definitions, calculation methods and calculation configurations of at least one node from the node area, and extracting data flow relationships between the nodes from the pipeline area; determining the execution order of each node according to the data flow relationship; executing each node according to the execution order to obtain the output variable values corresponding to each node; and generating an execution result according to the output variable values of each node.

The application relates to a low-code visual optimization method and system for power signal creation development, which comprises the following steps: S1: acquiring data in a signal creation environment, identifying interface differences and performance bottleneck points among various components through a compatibility test matrix, and establishing a standardized adaptive interface specification; S2: acquiring a standardized business object model based on the standardized adaptive interface specification; defining the attributes, relationships and constraint rules of various business entities based on the business object model, forming a data dictionary and an interface specification special for the power field; S3: constructing a power visual field-specific language DSL based on the data dictionary and the interface specification special for the power field; S4: converting the visual operation into a DSL configuration file by adopting a drag-and-drop interactive design; and S5: automatically converting the DSL configuration into a React or Vue component code by a code generation engine, and performing compatibility optimization on a signal creation browser kernel. The application effectively improves the power signal creation development efficiency.

Adaptable data warehousing computing systems and methods are disclosed for improved and flexible declarative control for programmatic modeling and database building, including in compute intense environments. A declarative scripting engine executes computing commands defined in a domain specific language (DSL), which is configured to programmatically configure a conceptual data model defining business object(s). A logical data model may be generated based on a declarative command defining the conceptual data model. A physical data model may be generated based on the logical data model, where the physical data model defines stage, core layer, and / or a data mart layers that may be deployed to a target database or data warehouse, and where the stage, core layer, and / or a data mart layers are the same or similar to those of the logical data model.

The invention relates to a computer-implemented method for generating a program code set for the operation of a technical device by an operating apparatus using operating data, wherein the following steps are carried out: a) providing the operating data, including labels of the operating data with respect to predefined features, which describe the operating data structurally and / or functionally, b) providing an input request, comprising definitions for analysis in a domain-specific language and instructions for generating the program code set, c) generating the program code set by means of the large language model using the operating data and the input request, and providing the program code set, d) providing reference program code sets for operating a general technical device, e) classifying the reference program code sets by means of a provided program-code-set model on the basis of artificial intelligence, and assigning to groups in view of the features, f) generating semantic program-code-set descriptions by means of the program-code-set model for the features and / or transfer parameters of the reference program code sets, g) parsing the generated program code sets with the reference program code sets using the features, wherein the program-code-set descriptions are taken into account in the reference program code sets, as a result of which a target program code set is obtained which is intended for the operation of the technical device by the operating apparatus using operating data.