13 results about "Configuration language" patented technology

The invention provides a database operation log risk early warning method and system. The method comprises the following steps: configuring a language model; integrating configuration files, wherein the configuration files comprise execution sql statement query data, management system disk files and mail sending; inputting a user demand, forming a user instruction based on the user demand, and sending out an execution task according to the user instruction; querying dangerous data from a database according to the execution task and based on the language model and the execution sql statement query data, and analyzing the database based on the language model; and generating an HTML report through the management system disk file and the dangerous data, and sending the HTML report to a preset address based on mail sending. According to the method, the accuracy of rule matching can be remarkably improved, the purpose of rapid communication notification can be achieved, and the demand cost of timely response services is effectively reduced.

The invention discloses a decision engine management method, system and device, a storage medium and a program product, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the performance optimization of an initial decision engine based on a stateless session management strategy and a decision path pruning strategy, and generating a preset rule engine; based on a preset rule engine, constructing a visual strategy writing platform; in combination with a visual strategy writing platform and a preset rule grammar writing tool, converting an original strategy configuration language input by a user into a bottom-layer rule file adaptive to a preset rule engine; and deploying the bottom-layer rule file to a preset rule engine for execution so as to complete policy release and decision-making. According to the scheme, engine performance is optimized through stateless session management and a path pruning strategy, a visual strategy writing platform is constructed, and automatic conversion from a strategy configuration language to a bottom layer rule file is realized in combination with a rule grammar tool, so that strategy deployment efficiency and decision execution performance are improved.

The present disclosure relates to systems and methods for selecting language models to process queries. A system can process prompts to route the prompts to at least one of a plurality of language models. By using training data including example prompts and example response scores generated by the language models, the system can configure a language model router. The system can provide a prompt to the language model router, which can select a language model based on the prompt, and provide the prompt to the selected language model to generate a response.

The invention discloses an application state adjustment method and system, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: obtaining region parameters of each region, and configuring first configuration data corresponding to each region according to each region parameter, the area parameters at least comprise one of area codes, privacy protocols, function configuration and language versions; determining second configuration data corresponding to the target area in the multiple pieces of first configuration data; the application state in the target application is adjusted to be a target application state matched with the target area according to the second configuration data, the application state at least comprises one of the following states: an interface display state and a function state, and the target application state is used for configuring services of the target application in the target area. According to the application, the problem that the expansion efficiency of the multi-country business of the APP is low due to the fact that the native code of the APP needs to be modified and the version of the APP needs to be reissued every time the business of one country is newly added in the APP in the related technology is solved.

The present invention provides a system for creating a manifestation of a software architecture blueprint in a virtual infrastructure. The system includes an interface to receive the software architecture blueprint capturing an intent of the user in a configuration language. The system further includes a control module to facilitate selection of the virtual infrastructure and map each block of the blueprint to a corresponding block of the virtual infrastructure using a map that depends on a type of the virtual infrastructure. The system includes an execution module to connect to the virtual infrastructure, and translate one or more corresponding blocks of the software architecture blueprint into an environment for deployment on the virtual infrastructure.

The invention relates to the technical field of multi-language translation, and discloses an AI-based semantic flow type multi-language translation method and system, electronic equipment and a storage medium. The method comprises the steps that a user interaction layer monitors input of a specific input box in real time, collects the input of the specific input box and to-be-translated content of a target interface, obtains to-be-translated text data and sends the to-be-translated text data to an AI large model service layer; the AI large model service layer calls a preset AI translation model to translate the to-be-translated text data to obtain a translation result, returns the translation result to the user interaction layer and stores the translation result in the data storage layer; the user interaction layer completes target interface updating display according to the translation result, and language switching is achieved. Therefore, system-level integration of dynamic translation and target interface updating is achieved through a three-layer architecture design, the AI large model is applied to multi-language switching of the target interface, a language package does not need to be configured, dynamic and continuous multi-language switching is achieved, and the method has the advantages of being low in development cost, high in flexibility and small in resource occupation.

A method includes receiving a request to set up a computing cluster comprising at least one node, the request comprising a selection of graphical user interface elements that represents at least one virtual machine associated with at least one cloud service provider or at least one on-premise computing device, dynamically generating a configuration file comprising configuration language to set up the computing cluster comprising the at least one node, parsing the configuration file to convert the configuration file into at least one application programming interface (API) request and sending the at least one API request to the at least one cloud service provider or the at least one on-premise computing device to set up the computing cluster, and receiving real-time deployment information.

The application provides a database operation log risk early warning method and system, the method comprises the following steps: configuring a language model; integrating a configuration file, the configuration file comprises executing an SQL statement to query data, managing a system disk file, and sending an email; inputting user requirements, forming user instructions based on the user requirements, and issuing an execution task according to the user instructions; querying dangerous data from a database based on the execution task and the language model and the execution SQL statement to query data, and analyzing the database based on the language model; generating an HTML report through the management system disk file and the dangerous data, and sending the HTML report to a preset address based on email sending. The application can significantly improve the accuracy of rule matching, achieve the purpose of rapid communication notification, and effectively reduce the cost of timely responding to business needs.

The application relates to the technical field of industrial automation control, and discloses a method and device for extending C language functions of PLC programming configuration, the method comprises a programming and compiling method of C language functions, a method for calling C language functions in an IEC61131-3 program, and a method for running C language functions in PLC runtime, and the device comprises PLC program programming host computer software and a PLC device main controller module. The C user programming language is extended, which is exported as a function interface conforming to the IEC61131-3 specification, does not change the existing programming habits, can be directly called and debugged by the existing PLC programming configuration language conforming to the specification, is consistent with the existing standard PLC function external characteristics, and is relatively high in practicability and universality; the user C language functions are directly compiled by using a cross-compiling tool chain of the PLC runtime, and the functions such as variable access, network programming, file operation and peripheral access can be relatively conveniently called.

Methods and systems for providing semantic meaning to data items in a data warehouse are disclosed. A data graph specification written in a configuration language is received. The data graph specification defines a plurality of data entities and relationships between the data entities. The received data graph specification is parsed to generate an object representation of the data graph. A schema of a data warehouse is validated against the object representation of the data graph. One or more queries based on the object representation of the data graph.

Information extraction methods and systems include configuring (304) a language model with an information extraction instruction prompt and at least one prompt with a labeled example. The language model configuration is validated (306) using at least one validation prompt. Errors made by the language model in response to at least one validation prompt are corrected (308) using a correction prompt. Information extraction is performed (310) on an unlabeled sentence using the language model to identify a relation from the unlabeled sentence. An action is carried out (210) in response to the identified relation.

A computing infrastructure configuration system and method include an infrastructure-as-code configuration tool providing a configuration language that defines the configuration and operation of the computing infrastructure using a declarative syntax. The declarative syntax is configured to express a plurality of built-in functions that can be executed by the computing infrastructure based on the configuration of the computing infrastructure. The system and method further include a syntax extension from the declarative syntax that expresses one or more provider-defined functions defined by one or more providers, and connected to the configuration tool by a provider protocol, the provider protocol providing the syntax extension to invoke the one or more provider-defined functions via the configuration language to enable the computing infrastructure to call at least one of the one or more of the provider-defined functions for execution by the computing infrastructure.

The invention discloses a method and a system for quickly building a server cluster. The method comprises the following steps of: coding an infrastructure, and realizing automatic creation and configuration of resources by using a declarative configuration language and an automatic deployment tool; deploying containerized services, and dynamically adjusting service instances through a container arrangement platform and an automatic expansion and contraction device; carrying out service templating and arranging, and rapidly instantiating an application component based on a structured template; dynamically configuring an authority strategy; task scheduling and resource reservation are carried out, and fine-grained scheduling is realized by combining a reinforcement learning scheduler with a resource reservation and preemption mechanism; intelligent monitoring and self-healing are carried out, multi-dimensional data are collected, and abnormal early warning and fault self-healing are carried out through a prediction model and root cause analysis; and integrating a data service gateway. According to the method, cluster minute-level delivery, fine-grained resource scheduling, dynamic authority control, intelligent operation and maintenance and cross-environment unified management are realized, and the deployment efficiency, the resource utilization rate and the system availability are remarkably improved.