Business processing system and abnormal data processing method based on business processing system

Abstract

The invention relates to a business processing system and an abnormal data processing method based on the business processing system. The system relates to the cloud technology, and comprises a business interface type description module used for obtaining business interface types carried by a system business interface model and interface description information corresponding to the business interface types, a check point description module used for acquiring a static attribute corresponding to the check point method model and check point description information corresponding to the static attribute, and a verification rule maintenance module used for obtaining attribute information corresponding to the verification rule model, collecting error information corresponding to each verification rule according to the attribute information, and obtaining the attribute information corresponding to the error code. And according to the attribute information corresponding to the error code and the interface description information corresponding to the verification rules, performing exception processing and maintenance on each verification rule. The system can dynamically update the latest abnormal rule information of the service system, quickly locate abnormal verification, and improve the maintenance efficiency of the abnormal information of the service system.

Description

Technical field [0001] The present application relates to the field of cloud technology, in particular to a business processing system and an abnormal data processing method based on a business processing system. Background technique [0002] With the development of cloud technology, as well as the increasing and variation of various types of different services, the business process using the business system, where the business system has the corresponding rule engine, and the business rules can be used from the business code through the rule engine. Stripping out, and the rule engine makes corresponding business decisions by accepting the input data and conducts the assessment of business rules. Among them, a stripped business rules are implemented by using pre-defined semantic specifications. [0003] Among them, the business system also sets the function of abnormal maintenance and information error, for use, and the corresponding business rules also increases due to the incre...

AI Technical Summary

Problems solved by technology

[0003] Among them, the business system is also equipped with abnormal maintenance and information error reporting functions for use by the caller system. Due to the increase and change of business, the corresponding business rules will also increase. As the number of rules continues to increase, abnormal error information also increases. When connecting with external systems, error codes and error information mapping tables are provided at the same time. However, when new verification rules are added to the business system, the provided error mapping tables cannot be real-time. Therefore, for the exception information files provided by different front-end system calls and different interfaces, there are still problems of information differences and untimely updates

[0004] During the maintenance of the backend system, for the newly added error information, the backend developers cannot update the newly added error information to the exception information list file in real time. Check the code completely, and maintain and update the newly added error information to the exception information list file provided to the front-end system. Therefore, the maintenance of the exception information list file in the traditional business system is time-consuming and cumbersome, and the efficiency is relatively low

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