Input parameter generalization method and device based on rule engine packet, and storage medium

Abstract

The invention discloses an input parameter generalization method and device based on a rule engine packet, and a storage medium. The method comprises the steps: generating a warranty Map database, andadding one specific mark field to each piece of element Map data in the warranty Map database, wherein the Map database comprises a plurality of pieces of element Map data; receiving a data call request parameter of a rule execution interface, and converting the data call request parameter into the data at the Map format, wherein the data call request parameter is a Json character string; searching a data transmission object corresponding to the converted data at the Map format according to the added specific mark fields of the element Map data; and carrying out the rule verification of the data transmission object according to a business rule of the data transmission object. The method can generalize the parameters of the rule engine packet, so only the corresponding rule needs to be developed when a business system needs to join in a rule cloud platform system afterwards, thereby achieving a once-for-all purpose.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method, device and storage medium for generalizing input parameters of a rule engine package. Background technique [0002] With the rapid development of the insurance industry, the business of the insurance industry tends to become more complex. In order to cope with complex business needs, the core business subsystems in each business category were proposed and implemented at the strategic level in the past. Provide an interface to coordinate the completion of different life cycle businesses of an insurance policy. Specifically, it can be divided into systems such as underwriting, preservation, claims settlement, and renewal. When conducting insurance business operations, in order to avoid losses, each system needs to perform rule verification on the insurance rule cloud platform. When performing verification, there is a process of converting the requested data from JSON to...

AI Technical Summary

Problems solved by technology

[0003] 1. Every time the business system rules are accessed, the project team must join these DTOs (data transmission objects) to increase development manpower;

[0004] 2. When the business system needs to change the DTO, the system must also be updated synchronously to increase maintenance manpower;

[0005] 3 Introducing too many DTOs will reduce the effectiveness of the rete algorithm of the drools open source engine and reduce execution performance;

[0006] 4 The application package will increase, and loading these DTOs will take up more stack memory

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