Data auditing method, system, computer equipment and storage medium

Abstract

The invention discloses a data auditing method, a system, computer equipment and a storage medium. The method comprises the steps: adding a metadata annotation for an auditing interface, enabling a metadata collector in a micro-service to collect metadata and push the metadata to message middleware, and enabling the metadata collector in the auditing micro-service to collect the metadata through aconsumption message; adding an interceptor in the gateway, wherein the interceptor pushes the request information to the message middleware and an information receiver of the auditing microservice consumes the information; analyzing the auditing message by the auditing analysis class of the auditing micro-service; determining audit data according to the metadata and the operator information; according to the method, the problem that service logic and auditing logic of data auditing are coupled together is solved, so that the problems of low detection efficiency and accuracy in an image detection method are solved. Auditing codes and service codes are separated, code coupling is reduced, generated auditing data are stored in a unified mode, and the safety and tamper-proof capacity of the data are improved.

Description

technical field [0001] The invention relates to the field of software testing, in particular to a data auditing method, system, computer equipment and storage medium. Background technique [0002] Auditing is a systematic process of objectively collecting and evaluating evidence and communicating the results to interested users in order to find out the degree of consistency between the determination of quality activities and quality phenomena and the established standards; The entrusted full-time institutions and personnel, in accordance with relevant national laws and regulations, use special methods to verify the authenticity, correctness, compliance, legality, It is an independent quality supervision activity to review traceability, evaluate quality compliance risks, and maintain quality regulations, improve quality management, and improve quality levels. [0003] Because of its advantages of easy development, easy testing, and easy deployment, the monolithic architectur...

AI Technical Summary

Problems solved by technology

With the evolution of technology and the development of business, data processing applications with a single architecture have shortcomings and deficiencies such as high complexity, heavy technical debt, low deployment evaluation rate, poor reliability, limited scalability, and difficult technological innovation, which are increasingly unsatisfactory. Software Architecture Requirements for Various Industries

And microservices currently have the following deficiencies: 1. The same logic needs to be implemented in each microservice. When audit requirements change, multiple programs need to be modified, which is likely to cause modification omissions and errors; 2. Coupling of business logic and audit logic Together, the program complexity and error risk are increased, which violates the design principle; 3. Create an audit table in each microservice database, so that the data is scattered in different databases, which increases the risk of data tampering and the difficulty of traceability

[0005] In related technologies, the business logic and audit logic of data audit are coupled together, which increases the complexity of the program and the risk of errors. No effective solution has been proposed yet.

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