Dynamic rule creation method and system based on newly-added scene

Abstract

The invention discloses a dynamic rule creation method and system based on a newly-added scene, and the method comprises the steps that a background reads a pre-created universal class and a corresponding attribute, and feeds back the pre-created universal class and the corresponding attribute to a foreground; the foreground creates and generates a dynamic rule according to the scene creation instruction and the universal class and attribute selection instruction; and the foreground transmits the dynamic rule generated by configuration to the background for analysis, executes the dynamic ruleand returns a result to the foreground for display. Through the technical scheme of the invention, the rule is visually configured in the foreground, a new scene class is not developed through the background any more, the background development workload is reduced, the host restart operation is reduced, visual custom foreground configuration is carried out on the rule, the development efficiency is improved, and the error probability is reduced.

Description

technical field [0001] The present invention relates to the technical field of business scene support, in particular to a method for creating dynamic rules based on newly added scenes and a system for creating dynamic rules based on newly added scenes. Background technique [0002] In the traditional business processing process, the way to create rules must first have scenarios, and then create rules. In this way, if a new scene is added, the Java class corresponding to the scene must be created in the background, and then the drools rule setting is performed, and finally the scene rule matching is performed to take effect. The disadvantage of this traditional approach is that every time a new scene is added, operations such as background development and restart of the host are required, which affects the efficiency of rule creation in the new scene, the workload of the background development is heavy, and the probability of errors is high. Contents of the invention [00...

AI Technical Summary

Problems solved by technology

The disadvantage of this traditional approach is that background development and restarting the host are required for each new scene, which affects the efficiency of rule creation in the new scene. The workload of background development is large, and the probability of error is high.

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