Method for converting HTML webpage to mobile terminal page

Abstract

The invention provides a method for converting a HTML webpage to a mobile terminal page. The method comprises: a mobile terminal initiating a request to a middleware server, the middleware server using a http protocol to obtain corresponding original system webpage data according to request contents, through a browser engine, performing analyzing and abstracting on the webpage data, and then a data extractor using XPath or a regular expression method to extract webpage elements in a positioning manner according to configuration files, a data assembler assembling the extracted elements, the process of the assembling automatically completing extraction of attribute of html elements, and the attribute of html elements being combined in additive attribute in the configuration files, integrating the additive attribute and converting to json data, and transmitting the data to the mobile terminal, and the mobile terminal analyzing the data and showing the data according to specified rules. The method is low in development cost, and short in development period.

Description

technical field [0001] The invention relates to a method for converting an HTML web page into a mobile terminal page. Background technique [0002] For enterprise users, the ultimate goal of enterprise mobile applications is to use mobile Internet technology, including terminal processing capabilities and portability, network accessibility, and features such as user identity awareness, location recognition, and real-time push, to improve production efficiency and enhance Management level, broaden sales channels, optimize customer service, and ultimately bring about improvement in profitability. In every link of the enterprise workflow, there is a huge potential demand for mobile applications. [0003] Currently facing several problems in the field of mobile development: [0004] Backend—the integration problem of enterprise business systems [0005] Back-end integration has always been a traditional problem in the enterprise field. Enterprise mobile applications are an e...

AI Technical Summary

Problems solved by technology

[0024] Re-development is required, and the re-development cost of the mobile terminal is high; and the business system interface transformation risk is high; the system joint debugging time is long; the requirement change maintenance cost is high; the finished product does not have reusability and portability

[0025] Since the mobile terminal must interact with the original office system database, the database will be exposed to the public network, resulting in data security risks and increasing the cost of network security protection

[0026] Disadvantages of the remote desktop method: operating the PC interface on the mobile phone, the user experience is poor, it cannot be optimized for the characteristics of the mobile phone, and the traffic fee is high

[0027] Disadvantages of using ordinary middleware: When adapting the system, it is necessary to rewrite the HTML display code and page logic verification for each page, the implementation cost is high, and the development cycle is long; page rewriting personnel are required to understand the details of the entire business system; After the verification is bypassed, if the original system does not have the back-end verification function, it will cause dirty data to be written into the database; data transmission contains a large number of HTML tags; data acquisition involves capturing network packets and writing HTML and JS codes. Secondary development threshold;

It often takes a long time to transition to application promotion and benefits after the development is completed; there are many systems involved, and if you need to obtain data, you need to carry out corresponding interface development and multi-party joint debugging tests; if you need to migrate multi-system data to a certain The system requires a lot of manpower and development, and it is difficult to quickly realize the mobile management of the enterprise; the level of intelligence is low, and it is impossible to realize automatic capture. Intelligent analysis of data often requires a secondary analysis of the system to solve related data problems. to develop

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