A method, device and storage medium for self-adaptive expansion of data objects

Abstract

The present invention provides a data object self-adaptive expansion method, device and storage medium. The method includes: a matching step, matching a suitable data object based on the user's current business scene, and the data object includes key attributes and description attributes ; Extending step, based on the business scenario and the category of the data object, the key attribute and the description attribute are adaptively extended from the public extended attribute component library; the display step is based on the description of the business scenario and the data object after the adaptive extension The attribute loads data content from the object domain, assembles a complete data object based on the data content loaded from the object domain, and selects a corresponding template from the template library based on the business scenario and data object to display the data object loaded with data content. The invention improves the expansibility of data objects, reduces the difficulty of programming and development, improves the utilization efficiency of templates, enhances the visibility of documents or reports, and improves user experience.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a data object self-adaptive extension method, device and storage medium. Background technique [0002] In the existing technology, in 2B and 2C application systems, it is necessary to support the application requirements of different industries, and the attributes of the same business object (data object) will vary greatly due to different industries and different business fields, such as In the application system, some business objects will have different object structures for different industries and different customer groups. For example, product files, products in the clothing industry and products in the electronics industry are very different. How to store different data in one file? Classifying goods is a very challenging problem. In terms of system design and implementation, the same business object should be modeled uniformly so that it can be processed in the sys...

AI Technical Summary

Problems solved by technology

Although this method can solve the segmentation of attributes, it causes an increase in the number of business objects, which may lead to inconsistencies in the same data object defined by different engineers, making it difficult to reuse later, resulting in high system complexity and increased maintenance costs.

[0005] In addition, in the prior art, it is not possible to automatically expand the attributes of the data object according to the customer's scenario, and in the prior art, for the display of the data object, one data object only corresponds to one template, and the display method is single, resulting in poor user experience

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