Anomaly processing detection method, device and equipment and computer storage medium

Abstract

The invention relates to the technical field of finance technology, and discloses an exception handling detection method, which comprises the following steps of: obtaining a preset configuration tableand input parameters corresponding to target logic, and detecting whether the target logic meets a preset detection condition or not according to the preset configuration table and the input parameters; if yes, whether abnormal configuration exists in an abnormal class in the preset configuration table or not is detected; and if the abnormal configuration exists, constructing an abnormal scene based on the abnormal configuration, obtaining a target exception corresponding to the target logic according to the abnormal scene, and outputting the target exception. The invention further disclosesan exception handling detection device and equipment and a computer storage medium. According to the invention, the effectiveness of exception handling detection is improved.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech) testing, and in particular to an abnormality processing detection method, device, equipment and computer storage medium. Background technique [0002] With the development of computer technology, more and more technologies (big data, distributed, blockchain, artificial intelligence, etc.) The industry's security and real-time requirements also put forward higher requirements for technology. In a distributed system, a complete data transaction process needs to go through many subsystem links, and the logic processing of a subsystem often needs to call other systems multiple times, so the logic of exception handling for distributed systems is more complicated. And because the exception scenarios of actual exception handling are more complex, they often need to be subdivided, such as technical exceptions, timeout exceptions, business exceptions, etc., resulting in unsa...

AI Technical Summary

Problems solved by technology

For example, the CHaosBlate tool is used for exception injection, but the CHaosBlade tool cannot perform different exception handling according to different exception error codes, nor can it judge whether to inject exceptions or other defects according to the input parameters of the target method, so that the method of using the CHaosBlate tool for exception injection is not So ideal, the validity of the abnormality detection results after testing the abnormal scene is relatively low

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