335 results about "HTML" patented technology

The invention relates to the technical field of artificial intelligence testing, discloses a method for automatically extracting UI elements of a Web page based on an AI large model, realizes automatic extraction of positioning information of the UI elements of the Web page of an embedded product, directly provides the positioning information to a Web testing framework for use, and solves the problems of low UI element extraction efficiency and insufficient adaptability in a traditional scheme. Playwright is used for obtaining page screenshots and HTML DOM information, after intelligent cleaning, the page screenshots and the HTML DOM information are transmitted to an AI model to analyze page structures, interactive elements such as buttons and input boxes are automatically recognized, and an optimal selector is generated; furthermore, page navigation and multi-page element collection are realized by combining an AI-driven automatic tool, and finally, an operation sequence is organized through a GUI (Graphical User Interface), so that automatic testing is quickly completed. According to the method, the problems of low efficiency and poor adaptability of a traditional method are solved, the accuracy and maintenance efficiency of Web testing are remarkably improved, and the method is suitable for dynamic and complex modern Web pages.

The invention provides a document adaptive conversion method and device based on a multi-modal large model and a medium, and belongs to the technical field of data processing. The method comprises the following steps: inputting a multi-modal document into a pre-constructed multi-modal large model, wherein the multi-modal large model comprises a multi-modal joint framework fusing a ViT visual model and an LLM model; using a ViT visual model and an LLM model to respectively extract multi-scale visual features corresponding to non-text content and semantic features corresponding to text content, and using a cross-modal attention mechanism to bidirectionally align the multi-scale visual features and the semantic features to obtain a multi-modal document; carrying out self-adaptive blocking on the multi-modal document by using a self-adaptive blocking strategy, and modeling a relative position relationship between blocks; establishing a dynamic mapping rule from a document element to an HTML tag, and mapping the multi-modal document into a front-end interaction component in combination with a natural language instruction of a user; and dynamically rendering the front-end interaction component in an on-demand mounting and resource isolation mode. The problem of insufficient document restoration capability in the prior art can be solved.

The invention discloses a health analysis report generation method based on a large model. The report generation method comprises the following steps: inputting a physical examination report; preprocessing the physical examination report to obtain a preprocessing result; performing visual language model analysis according to the preprocessing result; carrying out structured processing; compressing the cue word; generating an HTML (Hypertext Markup Language): generating webpage contents by utilizing And rendering and exporting. By introducing a large model with natural language understanding, data reasoning and code generation capabilities, an intelligent report generation mechanism is constructed, while the system development workload is reduced and the development period is shortened, specialized, precise and personalized output of health reports is realized, and the scientificity, readability and practical value of report contents are improved.

Embodiments of the invention relate to the technical field of data processing, and disclose a PDF document generation method and apparatus, an electronic device and a storage medium, the method comprising: obtaining first page data, the first page data being determined by first HTML data input by a user on a target layout style; according to the first page data, a double linked list is constructed, and nodes in the double linked list are used for storing types, contents and styles of HTML elements; converting nodes in the double linked list into document object model (DOM) elements; and generating the PDF document according to the DOM element. By applying the technical scheme, the accuracy of exporting the HTML data into the PDF document can be improved.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

The invention provides a Web page first screen loading acceleration method and system, a medium and equipment, and relates to the technical field of Web front-end performance optimization and network transmission, the method comprises the following steps: after obtaining a request of a user for accessing a URL (Uniform Resource Locator), analyzing an HTML (Hypertext Markup Language) and constructing a DOM (Document Object Model) tree; marking first screen resources to obtain a first screen resource list; key resources are inserted into the head of the loading queue, and non-key resources are marked as defer; if the weak network is detected, degrading the picture quality; after the CSSOM is ready, text and layout are rendered immediately, and placeholders are replaced after pictures are asynchronously loaded; when the delay is high, switching to an edge CDN node or starting a QUIC protocol; and pre-fetching resources are predicted based on user behaviors, and the pre-fetching resources are stored in a Service Worker cache. According to the method, the first screen loading time can be shortened, the maximum content drawing time is shortened, the network transmission cost is saved, and the cache utilization efficiency is improved.

The invention discloses a table extraction method and device, equipment, a medium and a product. The method comprises the steps of obtaining an image corresponding to a table in a to-be-processed document, a first prompt text and a second prompt text; inputting an image corresponding to a table in the to-be-processed document and the first prompt text into a first multi-modal large model to obtain a comma separation value csv text of the table in the to-be-processed document; and inputting the csv text of the table in the to-be-processed document, the image corresponding to the table in the to-be-processed document and the second prompt text into a second multi-modal large model to obtain a hypertext markup language (HTML) text of the table in the to-be-processed document, through the technical scheme of the invention, the efficiency and accuracy of table extraction can be improved.

The invention discloses a medicine production data table processing method based on document analysis and HTML rendering, and relates to the technical field of document data processing. The medicine production data table processing method based on document analysis and HTML rendering comprises the steps that S1, table recognition data, position mapping data and expressive data are collected and preprocessed, and a standardized table state data set is constructed; s2, analyzing semantic association closeness between the nested table and the affiliated paragraph, and adjusting an affiliation marking strategy of the table; s3, evaluating the structuring degree of the cells, and reconstructing the logical hierarchical relationship of the table structure; s4, evaluating the information importance of the cells, and adjusting the layout priority of the cells; and S5, generating a structured record and connecting the structured record to a business process of a manufacturing execution platform. The problem that a document structure and a business field are lack of binding, and construction of a unified data main line and a business driving process is seriously hindered is solved.

The invention discloses a hybrid application running environment simulation method and device, equipment and a storage medium, and relates to the technical field of development and debugging, and the method comprises the following steps: obtaining a preset uniform resource locator matching rule and software interface configuration information; intercepting and redirecting a target webpage script development language resource request according to the uniform resource locator matching rule and the software interface configuration information to obtain a combined script; injecting the combined script into a current hypertext markup language page so as to mount a bridge object in a global action range of the hypertext markup language page; and simulating a hybrid application running environment according to the bridge object. Through proxy forwarding and bridge object injection, a running environment similar to the hybrid application is constructed in the PC browser, and the development and debugging efficiency and flexibility are improved.

The invention discloses a dynamic webpage content complete collection system and method based on a browser rendering engine. A CDP controller main module calls a command to start a headless browser process, and a network monitoring module registers a Network. Response Received event monitor; a DOM (Document Object Model) monitoring module starts a Mutation Observer to monitor the change of a DOM (Document Object Model) tree; the interactive simulation module preloads a mouse click and scroll event instruction set; capturing JSON / XML data returned by an interface in real time by using a network monitoring module, intercepting API response data, generating a DOM snapshot by using a DOM monitoring module, and extracting key structure changes; the DOM monitoring module provides a complete rendering HTML, the network monitoring module provides request metadata, and the interactive simulation module provides an operation time sequence log and packages generated complete webpage data into a WARC file. According to the method, document collection is upgraded to application-level interaction, and a technical implementation path is provided for collection scenes of dynamic data-intensive websites (such as financial public opinion monitoring and e-commerce price tracking) in which Internet resources are stored for a long time.

The invention discloses an Internet webpage content feature extraction method based on artificial intelligence, which comprises the following steps: S1, acquiring a webpage HTML source file and a rendering image, and preprocessing the webpage HTML source file and the rendering image; s2, performing semantic classification on DOM nodes, encoding the DOM nodes into three types of identifiers, and constructing a node label sequence; s3, performing time sequence synchronization on the node attribute vector, the node tag sequence and the visual area set, and performing block-level slicing; s4, inputting the block-level slices into a gated recursive attention network, extracting multi-modal joint representation, and executing attention aggregation; s5, performing structure alignment on the feature fusion sequence, calculating a cross-node consistency distance, and screening a target slice set with high structure cohesion; and S6, mapping the target slice set to a content feature space, and generating a content feature tag set. According to the method, the structural accuracy, the semantic integrity and the multi-modal fusion precision of webpage content extraction are improved.

The invention belongs to the technical field of computers, and discloses a news detail page XPath automatic extraction method and system based on a large model, and the method comprises the steps: determining a large model base through multi-aspect evaluation; the method comprises the following steps: preprocessing an HTML page, designing a structured prompt template and constructing a thinking chain CoT data set; utilizing a Lora technology fine tuning model, and adopting a smooth loss function and a dual reward mechanism of fusion format and content evaluation to optimize; and performing format calibration on the XPath and the JSON output by the model, and extracting and verifying the validity of the URL of the detail page by using the calibrated XPath. Compared with a traditional template-based information extraction method, the method does not depend on the stability of a webpage structure, has higher generalization ability and fault tolerance, remarkably improves the information extraction precision, enhances the complex webpage adaptability, improves the overall robustness and universality of a system, and is suitable for large-scale popularization and application. And a stable extraction effect can still be kept in news websites with frequent structure change.

A system for dynamically updating data for course generation, the system including a web crawler operating on a server, wherein the web crawler is configured to identify one or more predetermined HTML elements on a plurality of web pages, identify isolated data as a function of the one or more predetermined HTML elements, compare the isolated data to a modification baseline and generate regulatory data as a function of the isolated data and the comparison, and a memory the memory containing instructions configuring at least a processor to receive the regulatory data, classify the regulatory data to one or more guideline categorizations, identify a plurality of course modules, modify the one or more course modules as a function of the regulatory data and transmit a notification associated with the one or more modified course modules to an end user.

The invention relates to the technical field of financial science and technology and artificial intelligence cross fusion, in particular to a financial format file processing method and device based on a large language model, and the method comprises the steps: receiving a file uploading or generating instruction, responding to the uploading instruction, carrying out format recognition and integrity verification, storing, and generating a ready signal; and in response to the generation instruction, constructing a cue word containing financial scene parameters, calling a large language model to generate content and generating a signal. And extracting a text through an adaptive analyzer based on the signal, filtering redundancy, converting into a standard JSON format, and driving a large language model to proofreading in combination with a special prompt word in the financial field to generate a compliant text. And after converting into a structured HTML intermediate representation and checking, analyzing an HTML matching template, filling placeholders, mapping into a Word format of a financial specification, and outputting a file which conforms to the business specification through special checking. Full-process automation is achieved, efficiency is improved, compliance risks are reduced, and the method is suitable for multiple scenes.

The invention discloses a life cycle process list calculation method based on a large language model, and the method comprises the following steps: S1, converting a literature and an image file into a. Markdown format file by using a unstructured.io visual recognition toolkit; s2, a large language model guided by cue words is used, and a table in the converted. Markdown file is decoupled; s3, reading a. Markdown file, and preprocessing the. Markdown file into a character string fragment; s4, vectorizing the character string by using an embedded model, and storing the character string by using a vector retrieval library toolkit; s5, retrieving a vector database according to the stage keyword; s6, generating a list framework by using a customized large language model according to the recalled corpus; s7, according to the input product keyword, a vector database is retrieved for the second time; s8, generating a complete list by using a customized large language model according to the recalled corpus; and S9, performing numerical value processing on the complete list in the. Json format by using a Python script, and converting the complete list into an HTML (Hypertext Markup Language) table.

The invention provides a webpage data collection method, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining an original HTML text of a reference webpage; the original HTML text is preprocessed, a target HTML text corresponding to the reference webpage is obtained, and the target HTML text comprises a plurality of attribute tags related to data collection; a large model is generated according to the target HTML text and rules obtained through pre-training, data collection rule information is generated, the data collection rule information comprises at least one content collection rule item and at least one page relation rule item, and each content collection rule item is used for describing a collection rule of one content element in the webpage; each page relation rule item is used for describing a jump rule between the webpages; and based on the data acquisition rule information, performing data acquisition on the webpage in the network. The method has high universality and reusability, and automatic data collection of the whole link can be achieved.

The invention provides a method and device for acquiring OG data of multiple social media platforms through links, and belongs to the technical field of data acquisition and processing. The method comprises the following steps: acquiring URL links from a plurality of social media platforms and common webpages as source data, wherein the source data correspond to webpage OG data lt; carrying out metagt; the label form is embedded into the lt of the HTML; carrying out headt; a label; performing validity check and standardization on the URL link, capturing webpage content by using an asynchronous HTTP (Hyper Text Transport Protocol) request library, and loading a complete HTML (Hyper Text Markup Language) on a dynamic webpage through a headless browser; the HTML positioning result is analyzed; carrying out metagt; tag: extracting an OG standard field and a platform extension field, and deducing a missing field from other HTML tags; mapping each platform OG field into a unified standard field; and outputting the OG data containing fields such as title and the like through the standardized API interface. According to the method, the multi-platform OG data acquisition efficiency, accuracy and safety are improved, good expansibility is achieved, and the cross-platform data integration requirement is met.

The purpose of this disclosure is to utilize generative AI to reduce the effort required to create test scripts. [Solution] A program for operating a computer having a processor and memory, the program causing the processor to execute the following steps: accepting specification of information related to a test from a user; reading WAI-ARIA roles and labels from a page expressed in HTML as summary information about the page on which the function to be tested is executed; creating a first prompt including information related to the test, summary information, and an instruction statement instructing the output of test procedure information; inputting the first prompt into a generation AI and causing the generation AI to output the test procedure information; and creating a test script based on the procedure information.

The embodiment of the invention provides an automatic poster generation method and related equipment, and belongs to the cross technical field of computer vision and natural language processing. The method comprises the steps that firstly, through a detail insensitive demand analysis (DIPR) mechanism, user demands of different detailed degrees are analyzed into a structured design blueprint in a unified mode through a large language model subjected to instruction fine adjustment; secondly, based on the style description in the blueprint, a diffusion model subjected to style-based fine adjustment is called to generate a high-quality background image; and finally, fusing the text content and the background image by using a multi-modal large language model, and directly outputting an editable HTML format poster. According to the method, the problems of poor text rendering accuracy, weak demand understanding ability and non-editable output results in the prior art are fundamentally solved, the text accuracy is remarkably improved, full-process automatic generation is realized, and the method has excellent commercial practicability.

The invention discloses an intelligent detection method, device and equipment for a Portal authentication page and a medium, and relates to the technical field of Portal authentication, and the method comprises the steps: a relay device is connected to a target WiFi network, and then sequentially initiates an HTTP request to at least two reference detection URLs belonging to different service providers; analyzing an HTTP response state code of each request, and if the state code is a state code indicating redirection, judging that a Portal authentication page exists and extracting a jump address from a response head; if the status code is a successful status code but the response content is not matched with a preset successful identifier, analyzing the HTML content of the response, searching and extracting the URL indicated by the embedded jump instruction, and if the extraction is successful, judging that a Portal authentication page exists; and displaying the obtained Portal authentication page address to a user through a Web management interface of the relay equipment. According to the method, multi-source detection and multi-layer analysis are implemented on the relay equipment side, the detection compatibility and reliability are remarkably improved, and a unified network side interaction entrance is provided to ensure that a user can reliably complete authentication.

The invention discloses an automatic construction method for a digital twin topology of a power distribution network, and the method comprises the steps: obtaining original data of the power distribution network, and carrying out the preprocessing of the original data; based on the preprocessed power distribution network data, an object-oriented modeling thought is adopted, and a standardized equipment class and a connection relation mapping rule are defined; an electrical topology network of the power distribution network is automatically generated, a digital twin model is constructed, and connectivity verification and hierarchical relation calculation are carried out by utilizing graph theory calculation; automatically converting the digital twin model into a DSS script format compatible with OpenDSS by using a format converter; load flow calculation and topology analysis are carried out based on an OpenDSS simulation engine, and a multi-dimensional visual chart and an HTML interactive report are generated. According to the method, through the unified connection relation mapping standard, the connection relation mapping standard facing the power distribution network is improved, and automatic conversion from the power distribution network data to the standard digital twinborn model is achieved.

The invention discloses an LLM-based automatic table filling method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps of obtaining a to-be-filled table in a to-be-filled document, and recording the position of the to-be-filled table; obtaining a to-be-filled text input by a user; analyzing the to-be-filled table, and converting the to-be-filled table into an HTML format to obtain a first HTML table; the first HTML table, the text to be filled and a preset Prompt template are spliced and input into an LLM large model; analyzing an entity-attribute relationship between a header field in the first HTML table and the to-be-filled text through an LLM large model; automatically filling the first HTML table to obtain a second HTML table; and inputting the second HTML table to the recorded position to obtain a filled document. By implementing the technical scheme provided by the invention, the accuracy of automatic table filling can be improved.

The invention relates to an intelligent collecting and processing method for open source intelligence data crawling, and belongs to the technical field of data processing. According to the method, after open-source information data is crawled by a traditional crawler method, an HTML tag exceeding the length of a context window of a large language model in the open-source information data is subjected to iterative segmentation from coarse to fine, and segmentation blocks with context relation are recombined into single segmentation blocks in each time of segmentation; and after each finally obtained segmentation block does not exceed the length of the context window, stopping segmentation iteration, and performing semantic recognition on a segmentation result by using a large language model to complete the collection of open source intelligence data. According to the method, the acquisition speed of the open source information data is ensured by a traditional crawler method, the recognition accuracy of the large language model on the HTML tag is ensured to the greatest extent on the basis of adaptive segmentation on the HTML tag, and finally, the acquisition speed and accuracy of the LLM-based crawler method on the open source information data can be improved.

The invention discloses a webpage rapid generation method and device, and the method comprises the steps: obtaining an original HTML file which is represented by a document object model and comprises a dom element node and a text node; processing logics of the original HTML file are set, the processing logics comprise processing logics of dom element nodes and processing logics of text nodes, and the processing logics of the text nodes comprise the steps that the to-be-modified text nodes are positioned in a node intersection and content matching mode; determining a text style modification mode according to a relationship between a father node of the to-be-modified text node and the to-be-modified text, wherein the processing logic of the dom element node comprises setting a display style of the dom element node and binding a click event to the dom element node; and generating a webpage according to the original HTML file and the processing logic of the original HTML file. According to the method and the device, the text nodes and the dom element nodes can be accurately controlled, and the page generation efficiency is improved.

The application discloses a security reinforcement method and device based on a programming language library, and aims to solve the technical problem that site administrators currently usually manually reinforce the security of sites, and the sites are prone to missing replacement and missing modification. The method comprises the following steps: obtaining a programming language script matched with a regular expression from a target folder storing a script file according to the regular expression; renaming a script name corresponding to the programming language script according to a preset script dictionary, so as to obtain a specified script name after renaming; determining a hyper text markup language document referencing the programming language script, and modifying the name of the programming language script referenced in the hyper text markup language document according to the specified script name.

The invention provides a data large screen generation method and device, a server and a storage medium, relates to the technical field of information processing, and solves the problem of low efficiency of generating a data large screen in related technologies. The demand text is converted into an executable SQL statement to extract target data from a database, an MD document is generated based on the demand text to define a data large screen, and then the target data and the MD document are combined to generate an HTML text comprising complete page information so as to render and generate the data large screen; the large data screen is automatically generated in response to the instruction statement of the user, the user does not need to master programming skills, and the method can adapt to changes of service requirements, so that the large data screen is quickly generated.

The invention discloses an html label processing method and system equipment and a storage medium, and the html label processing method comprises the steps: inputting an html text with a label; a text index i = 0 and a content index j = 0 are initialized, and i is used for traversing the whole html text and gradually moving backwards from the first character to check the property of each character; j is used for recording a position index of the text content in the text after the label is removed, and j is increased when a non-label character is encountered; judging whether the html [i] text is a label starting character or not; if the character is a label start character; if not, judging whether the html [i] is a sentence ending character or not; and judging whether characters exist later, if so, returning the index i + 1, and if not, ending the whole processing flow.

The invention provides a document processing method and device, electronic equipment and a storage medium. The method includes; performing analysis processing on the unstructured document so as to obtain html (Hypertext Markup Language) data and css (Data Service) data of the unstructured document; performing feature extraction processing on the html data and the css data to obtain visual features, semantic features and structural features; and generating a constraint rule of the static reservation area, a constraint rule of the text editing area, a constraint rule of the media replacement area and a constraint rule of the data binding area based on the static reservation area, the text editing area, the media replacement area and the data binding area. According to the document processing method, the conversion effect from the unstructured document to the component can be improved, and the flexibility of component generation is improved, so that various requirements of a front-end framework are met.

Dynamic content can be delivered via email. Email messages include HTML content with one or more hyperlinks referring to a network-connected dynamic content server. The hyperlinks are accessed upon rendering of the email on a client device, triggering a request to a dynamic content server. The dynamic content server determines a content item to be served in response to the request. The dynamic content item determination may be based on factors including the identity of the requester, the email communication in which the hyperlink is embedded, recent activities or behavior on the part of the requester, and / or known preference or demographic information associated with the requester. The request can be directed to a selected content item stored within a content delivery network, for transmission back to the requester and display to the user within the email.

A protection module operates to analyze threats, at the protocol level (e.g., at the HTML level), by intercepting all requests that a browser engine resident in a computing device sends and receives, and the protection agent completes the requests without the help of the browser engine. And then the protection module analyzes and / or modifies the completed data before the browser engine has access to it, to, for example, display it. After performing all of its processing, removing, and / or adding any code as needed, the protection module provides the HTML content to the browser engine, and the browser engine receives responses from the protection agent as if it was speaking to an actual web server, when in fact, browser engine is speaking to an analysis engine of the protection module.