137 results about "Technology stack" patented technology

An artificial intelligence driven system of systems may include a layered architecture for providing transaction support to various types of enterprises. A governance layer implements automated governance and policy enforcement through specialized governance modules utilizing generative AI technology. An enterprise layer supports enterprise functions by integrating management and control platforms with digital infrastructure. An offering layer creates and manages system offerings via content generation, personalization, and smart product modules. A transactions layer enables automated transaction orchestration through API integration, execution, and fulfillment modules. An operations layer manages AI systems through generation, training, verification and orchestration modules. A network layer provides adaptive networking capabilities through routing, protocol selection and communication modules. A data layer processes fused data from multiple sources using machine learning and AI systems. A resource layer manages computing, storage, and other resources through specialized resource modules.

A system may include an Al convergence system of systems for a value chain network environment.

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 discloses a code reconstruction method, system and device based on function recognition and a medium, and the method specifically comprises the steps: scanning a project file topological structure, and constructing a knowledge graph based on a code import relation and a technology stack feature; performing context enhancement by analyzing the code function description and combining with the knowledge graph to generate a code modification instruction set; based on the code modification instruction set, in combination with data stream sensitivity marking and performance portrait analysis, evaluating the target code to obtain an evaluation result; based on an evaluation result, matching a historical optimal practice mode through a graph neural network, and generating an optimization scheme which retains an original design style; by comparing abstract syntax tree differences between original codes and verified optimization schemes, only functional logic nodes are replaced, and legal code style features are reserved. According to the method, the efficiency and quality of code reconstruction and optimization are improved, and a more convenient, efficient and intelligent code processing tool is provided for software developers.

The invention discloses an intelligent Bug management method and platform based on an AI large model. The method comprises the steps that structured error codes, unstructured log texts and development communication records are collected; standardized Bug features are obtained after preprocessing; semantic matching is performed based on a CodeBERT large model to generate a historical similar Bug case set, and a problem code segment is analyzed and positioned in combination with an AST abstract syntax tree; according to the project technology stack features, the historical similar Bug case set and the problem code segment, generating a repair scheme including code modification suggestions, automatically generated repair code snippets and implementation risk assessment; constructing and optimizing a triple knowledge graph; and finally, associating the standardized Bug features, the problem code segment, the repair scheme and the knowledge graph to obtain a Bug diagnosis result, and outputting the Bug diagnosis result. According to the method, intelligent positioning and accurate repairing of the Bug are achieved, the average Bug solving time is remarkably shortened, and meanwhile automatic precipitation of development experience is achieved through the continuously optimized knowledge graph.

A system and method for applying a unified security policy across a technology stack, includes detecting a cloud object in a first cloud computing environment, the cloud object including a plurality of attributes, each attribute having a corresponding value; detecting a node in a security graph having a data field value which matches an attribute value of the cloud object, wherein the security graph includes a representation of a cloud environment; applying a policy based on the data field value to the detected cloud object; and applying the policy to another cloud object in a second cloud computing environment, in response to determining that a node representing the cloud object in the security graph is connected to a node representing the another cloud object.

The embodiment of the invention provides a program testing method and system, electronic equipment, a storage medium and a program product. Relates to the technical field of computers. The method comprises the following steps: receiving a plurality of test tasks from a client; determining a target test end based on the first configuration information; determining task information based on the first configuration information and the second configuration information; based on the task information and the current page screenshot, generating a test instruction through a target agent corresponding to the target test end; issuing a test instruction through the target agent, and receiving a page screenshot returned by the target test end in response to the test instruction; taking the page screenshot corresponding to the test instruction as the current page screenshot, returning to the step of generating the test instruction, and performing loop execution until it is judged that the test of the test case is completed; and aggregating the test results corresponding to the test ends to generate a multi-end test result corresponding to the test case. The technical problem that the program testing efficiency of different end-side technical stacks is not ideal in the prior art is solved.

Disclosed embodiments pertain to cybersecurity assessment and remediation. A questionnaire comprising a set of questions can be generated and provided electronically to a device of a small business representative. In one instance, the questionnaire can be dynamically responsive to input to focus on questions relevant to a particular business. Responses to questions can be used to generate a score that captures cyberattack readiness and a recommendation to reduce cybersecurity risk. Further, tests can be executed on a technology stack of the business. Test results can then be employed as a basis to generate the score and recommendation.

The invention provides a dynamic optimization and visual decision-making system for port and navigation multimodal transport knowledge graph collaboration, and solves the problems of high transport mode conversion cost, difficult information sharing and the like. Aiming at the defects that a traditional static data warehouse (such as Hadoop) is insufficient in real-time performance, a general data fusion framework (such as Apache NiFi) is poor in field adaptability and the like, the system innovatively constructs a multi-source heterogeneous database, integrates port production, economic association, infrastructure and freight data, and realizes accurate path planning and personalized logistics scheme recommendation through an intelligent algorithm. The system adopts a React + ECharts + ShadcnUI technology stack to realize knowledge graph visualization, practice shows that the operation efficiency can be remarkably improved, the transportation cost is reduced, and technical support is provided for sustainable development of ports.

The invention provides a front-end general multi-language switching method, device and equipment and a medium, and the method is based on a frame-independent post-processing principle, translating logic is executed in the last stage of a construction process, and JavaScript codes compiled by various front-end frames are directly processed. The method comprises the following steps: identifying a to-be-translated text based on AST analysis in a compiling stage by constructing a tool plug-in; generating a unique hash identifier for the text and replacing the unique hash identifier with a translation function call; integrating a plurality of third-party translation services to realize batch automatic translation; and generating a language package mapping table, and providing a global t translation function to realize language switching during operation. The method acts on an ending link of a construction process through configuration, and realizes non-inductive support for any front-end technology stacks such as Vue, React, pure JS and the like. The method is suitable for front-end project multi-language reconstruction of medium and large projects, and the development and maintenance efficiency of multi-language projects is greatly improved.

The invention discloses a method for generating a text system, and aims to solve the problems of long development cycle, disjunction of requirements and technology implementation and the like of traditional software and realize automatic generation from a natural language requirement to a deployable service system based on a large language model. The method is divided into two stages: in the first stage, a system is disassembled into a logic subsystem through man-machine cooperation, core business logic is extracted, a large language model is called by adopting a divide-and-conquer strategy, and a detailed specification containing a functional process and an interface form is generated; in the second stage, a large language model is called to generate a database table structure and a DDL script, an engineering framework of a basic technology stack is initialized and integrated through a predefined scaffold, CRUD codes are generated, the codes are analyzed to generate a transformation plan for structured data, and target logic codes are incrementally integrated. According to the method, control is achieved through Python, the problem of large model input limitation is solved, and generated codes are standard and extensible. The development cycle is shortened, the requirement-design-code consistency is guaranteed, the threshold is lowered, platform locking is avoided, and enterprise digital transformation is assisted.

The invention relates to the technical field of supply chain management, in particular to an intelligent supplier extension management method based on a technology stack and big data. Comprising the following steps: S1, obtaining examination and approval data and delivery data of historical suppliers, and defining the examination and approval data and the delivery data as first examination and approval data and first delivery data; dividing the first approval data and the first delivery data into structured data and unstructured data according to a timeline; s2, based on the division result of the first examination and approval data, extracting examination and approval times and examination and approval interval time of an examination and approval department; and S3, based on the auditing times and the auditing interval time, utilizing an auditing efficiency evaluation formula to obtain an auditing efficiency evaluation value of the enterprise. The supplier approval and delivery data are integrated, the analysis efficiency is improved, the bottleneck is quantified and audited, the performance capability is dynamically evaluated, the management process is optimized, the full-process automatic management and control is realized, the cooperation efficiency and the decision scientificity are enhanced, and the efficient operation of the supply chain is ensured.

A system and method for technology stack discovery by performing active inspection of a cloud computing environment utilizing disk cloning is described. The method includes: generating an inspectable disk based on an original disk of a reachable resource, wherein the reachable resource is a cloud object deployed in the cloud computing environment, and accessible from a network which is external to the cloud computing environment; detecting a cybersecurity object on the inspectable disk, the cybersecurity object indicating a cybersecurity issue; selecting a network path including a network protocol to access the reachable resource; and actively inspecting the network path to detect the cybersecurity issue.

The invention relates to a code generation method and system based on a large model and a medium, and the method comprises the steps that in response to a received code generation request, a corresponding cue word template is obtained from a template database according to a technology stack type in the code generation request, and the cue word template comprises universal cue words; and performing semantic analysis and optimization on personalized requirements in the code generation request through the large model to obtain personalized cue words. And combining the personalized cue word and the universal cue word to obtain a target cue word. And taking the target cue word as the input of the large model, and outputting front and rear end codes. Automatic closed loop from demand description to code generation is achieved, the overall development efficiency is remarkably improved, and the problem of how to improve the code generation quality in the related technology is solved.

The invention discloses a hospital inquiry system based on the Internet. The hospital inquiry system comprises a business platform layer, a multi-terminal application layer, a composite interaction layer and a verification layer, the service platform layer is constructed by adopting a Java Springboot and SpringCloud micro service architecture, and a plurality of core functions can be packaged into an independent service process; the multi-end application layer can select an optimal technology stack to form a multi-end application based on operation habits and performance requirements of different terminal users, and each end performs front-end and back-end separated interaction with the service middle station through an API gateway; and the composite interaction layer is used for establishing a communication link between a doctor and a patient so as to carry out a full-service process of online inquiry, prescription making and medicine distribution. According to the system, a one-stop business process of online inquiry, prescription extraction, medicine purchasing and distribution is realized, meanwhile, doctors are supported to receive diagnosis through a mobile terminal or a computer anytime and anywhere, and the problem that the licensing behaviors of the doctors are bound to fixed places and time of physical hospitals is solved.

Systems and methods are provided for proactive dependency management in software development projects, including initiating a dependency scan within a version-controlled repository to identify and list project dependencies at predetermined intervals, and conducting a health analysis for the project dependencies listed by accessing and utilizing data from a plurality of vulnerabilities databases, the analysis uncovering current security vulnerabilities and assessing a frequency and recency of maintenance updates. A multifaceted criteria matrix is applied to analyzed dependencies to isolate those that exhibit indicators of potential risk, including known security vulnerabilities and evidence of neglect of updates and maintenance. A set of alternative dependencies is aggregated for identified at-risk dependencies by leveraging public repository analysis to discern commonly adopted replacements, further evaluating the alternative dependencies for compatibility with a technology stack of the software development projects and adherence to security and maintenance standards.

After a server for implementing a plurality of layers of a radio-based application has been powered on at a location external to a cloud computing environment, connectivity between the server and a monitoring service of a cloud computing environment is verified. Network functions of a radio unit, a distributed unit, a centralized unit, and a core network layer are all executed at the server with respect to a message received from a user equipment device. Status information of the server, collected from the server by the monitoring service, is presented via a programmatic interface.

The invention discloses a DevOps-oriented low-code front-end application construction and delivery method. The method comprises the steps that a developer carries out metadata design through a low-code development platform; front-end page design and function building are carried out through a visual designer; creating an application, and using an application visualization designer to connect a plurality of designed single pages in series according to business logic to obtain a visualization design result; a low-code platform, Vite, Vue3 and a TS technology stack are deeply fused, a visual design result is converted into a runnable code conforming to a modern front-end engineering specification through a rear-end driven intelligent code generation engine, and a final application engineering source code is output; and submitting the generated application project source code to a DevOps integrated management platform, and carrying out online construction application deployment and access test. The high efficiency of low-code development and automation of DevOps are fused, and full-process automation from application development to deployment is achieved.

The invention discloses a micro-front-end infrastructure construction method, device, equipment and medium, relates to the technical field of computer software, can be applied to financial science and technology or medical health business scenarios, and comprises the following steps: integrating basic components, universal components and universal tools to form a basic resource set; calling a packaging tool, screening resources matched with the technology stack of the micro-application in the basic resource set, and packaging the resources into a uniform resource file; redirecting the resource reference of the micro-application to a remote path of the uniform resource file through a resource mapping mechanism to form a mapping relationship between a technology stack and resources; based on the mapping relation, synchronously executing style processing operation and syntactic analysis operation for the micro-application; and based on the virtual element creation method and the style isolation information, rewriting virtual element creation logic of the micro-application, supplementing a style identifier for the micro-application, and marking to realize style isolation of the micro-application in the running process. According to the method, the micro-front-end project starting compiling efficiency can be improved.

The invention relates to a financial credit creation system architecture deployment method, which comprises the following steps: S1, investigating the current situation, and determining the existing system architecture, business process and technology stack of a financial institution; s2, planning and designing, wherein model selection and configuration are carried out around a host platform, a cloud platform, middleware, a database and related key components; s3, development testing, including demand analysis, design, coding and self-testing, a testing stage including unit testing, integration testing, system testing, acceptance testing and regression testing; s4, platform construction; s5, migration implementation; and S6, operation and maintenance operation. Through the systematic deployment method, the problems of high security risk, high maintenance cost, poor autonomous controllability and the like of the existing financial credit and credential system are effectively solved, and efficient, safe, autonomous and controllable technical support is provided for digital transformation of financial institutions.

The invention discloses an automatic software testing method based on behavior-driven development, belongs to the technical field of software testing, and remarkably reduces repeated work of manual coding by automatically generating a test script. Based on a test scene described by a natural language, the system directly converts a structured test model into an executable test code by utilizing a predefined template library and a dynamic code generation technology. For example, key actions and parameters are extracted from a user story written by a Gherkin language through an analyzer and mapped to a code template of a framework such as Selenium or JUnit, and scripts do not need to be written manually line by line. The hierarchical design of the test model further simplifies the script generation process, supports batch processing of multi-scene test tasks, greatly shortens the test preparation period, improves the overall test efficiency, is compatible with various programming languages and test frameworks, and can adapt to project requirements of different technology stacks.

The invention discloses an infrastructure and application management system based on a cloud native technology, and the system comprises a command line tool which is used for carrying out the communication with a server through an MQTT protocol, and executing the cluster management operation; the multi-tenant private cloud cluster module is used for realizing resource isolation and quota management among tenants; the mirror image warehouse module is used for storing and managing application mirror images; the declarative management module is used for defining a resource expectation state through a YAML configuration file; the CI / CD assembly line module is used for automatically constructing, testing and deploying applications; the gateway resource scheduling module is responsible for load balancing and flow control; the user authorization and authentication module is used for realizing authority control based on an RBAC model; the security module comprises data encryption and network isolation; and the asset library management module is used for managing a program component and a platform library. By integrating a cloud native technology stack, a set of efficient, safe and extensible infrastructure and application management system is constructed, and the deployment efficiency and the operation and maintenance capability of enterprise-level applications are remarkably improved.

The invention provides a marine target monitoring system and method based on a micro-front-end architecture, relates to the technical field of marine target monitoring, and solves the problem that an existing system is difficult to develop and maintain. The marine target monitoring system comprises a main application and a plurality of sub-applications with independent technical stacks of a front-end application layer, the corresponding sub-applications are dynamically loaded and rendered, and a data access processing service of the data service layer is configured to access original target data and process and store the original target data in real time; the application service of the data service layer is configured to obtain the processed target data and push the data to the corresponding sub-applications in real time, and the sub-applications are independently deployed and configured to interact with the application service through the unified gateway to receive and display the target data. According to the application, each sub-application can be independently developed and deployed and is easy to develop and maintain, the unnecessary query load of the server is reduced, and the overall resource utilization efficiency of the system is optimized.

The invention discloses an automatic code generation method and system based on a multi-modal large model and a medium, and mainly relates to the technical field of automatic code generation. The method and the device are used for solving the problem of incomplete demand understanding caused by deviation between semantic alignment of multi-modal input features and context sensing and the problem of low accuracy of complex business logic code generation in the existing scheme. Comprising the following steps: constructing an environment constraint vector through history project code context sensing; wherein the environment constraint vector comprises dependency scanning data, technology stack analysis data and code style matching data; according to the multi-dimensional fusion feature and the environment constraint vector, generating an operation code conforming to a preset technical specification and a preset architecture feature; and performing pre-training on the operation code based on the pre-training code generation model, calculating a multi-dimensional reward function, performing reinforcement learning on the operation code, obtaining a feedback optimization code, and reversely injecting the optimization code into the pre-training code generation model to obtain a final operation code.

The invention discloses a micro-front-end routing scheduling method, device, system and equipment and a medium. The method comprises the following steps: dynamically acquiring an AMD resource address and a URL of an iframe sub-application; realizing sandboxed operation of the AMD module through a window namespace object, and sharing a public library based on a global dependency mapping table; the iframe dynamically isolates the operation environment; a path-to-regexp is adopted to compile a routing rule, and an AMD module or an iframe sub-application is dynamically scheduled to be loaded according to a routing matching result; and establishing a bidirectional communication channel between the main frame and the iframe sub-application, and transmitting data and instruction messages through an event bus and a PostMessage protocol. According to the method, the key technical problems of coexistence of multiple technical stacks, dynamic module loading, cross-application communication and the like in the micro-front-end architecture can be solved, and the modularization degree and the performance during operation are improved.

The disclosure provides a data processing method, system, device, medium and product between different framework servers, which can be applied to the technical fields of data processing and financial technology. The method comprises: obtaining initial session management information uploaded by a terminal device by using a management framework server in the case that a user logs in an account on the terminal device; generating business management information by the terminal device in response to a business operation instruction of the user, and obtaining the initial session management information and the business management information by using a business framework server, wherein the management framework server and the business framework server are constructed based on different technology stacks; analyzing the initial session management information by using the business framework server to create target session management information; and processing the business management information by using the business framework server based on the target session management information.

The invention discloses an el-table-based single-row verification method, and relates to the technical field of front-end development, and the verification method comprises the following steps: defining column data, and obtaining attributes needing to be edited in all columns through isEdit; all isEdit attributes are bound through a slot, and a corresponding verification method is directly specified according to rules; according to the single-row verification method based on the el-table, a common verification method is defined, conventional Element Plus form verification is reused, through the single-row verification method based on the el-table, single-row independent verification is achieved, it is not needed to add el-form for each row or each column, and therefore expenditure is reduced; meanwhile, the same verification logic as the large list form is kept, existing codes do not need to be modified, and the code complexity is reduced; according to the method and the system, the table is edited, instant feedback is supported, multiple triggering modes are compatible, the native verification rule of Element Plus is reused, a Vue2 / Vue3 technology stack is adapted, seamless support of single-line verification is achieved, cell errors are accurately positioned, and data verification experience in a table editing scene is improved.

The invention discloses a method, a system, a medium and equipment for generating a BI picture from a design manuscript, and the method comprises the steps: obtaining design manuscript file data, carrying out the classification recognition and labeling of the data, and converting the data into structured data; according to the structured data, generating a standardized query demand, and establishing a mapping table of the design annotation and the data demand; calling a Text2SQL (Structured Query Language) model to generate an initial query statement for verification according to a standardized query requirement, and generating structural data of design draft analysis; selecting a target technology stack according to the structural data analyzed by the design draft, and generating a front-end code; and according to the front-end code, compiling to generate a runnable static file, starting a local preview service, and according to feedback, automatically updating a design draft analysis algorithm and a Text2SQL (Structured Query Language) model. According to the method, data query, code generation and picture rendering are automatically completed through design draft input through automatic code generation and the Text2SQL technology, and the development efficiency of BI pictures is improved.

The invention provides a cloud product resource use condition determination method and device, a processor and a storage medium, and belongs to the field of computers, and the method comprises the steps: obtaining resource data of a cloud product; wherein the resource data comprises static asset data and dynamic business data; counting the resource data according to a plurality of preset dimensions to generate corresponding standard measurement data; wherein the preset dimension comprises but is not limited to a capacity management unit, a technology stack and an available area; executing a calculation task on the standard measurement data based on a preset calculation rule to generate a resource configuration result; wherein the calculation rule is determined based on historical dynamic business data; and carrying out visual display on the resource configuration result. Through the method, different heterogeneous data sources are unified, so that the resource configuration decision can closely follow the actual demand of business development, and the resource utilization rate, the cost effectiveness and the overall management efficiency are improved.

The invention belongs to the technical field of research, development and design, and relates to a page destruction processing method, device and equipment and a storage medium thereof.The method comprises the steps that whether a currently browsed page triggers a page destruction event or not is recognized; if so, calling a preset page destruction component; screening out a corresponding destruction execution code from the page destruction component; and carrying out destruction operation on the currently browsed page. By adding the destruction execution codes corresponding to the different front-end technology stacks into the page destruction component in advance, when the front-end technology stacks used by the page are recognized, the destruction execution codes are flexibly screened out, destruction introduction is carried out, the page destruction efficiency is improved, and code reuse is also facilitated. The page destroying assembly is applied to a financial business APP or a medical health service APP, when a related APP is downloaded, the page destroying assembly can serve as an additional assembly of the APP to be loaded, and then when a page in the APP needs to be destroyed, automatic destroying is carried out by directly calling the additional assembly.