Data processing method and device, computer equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and a method comprises the steps: carrying out the format verification on target service data according to a format verification strategy, and carrying out the function loading on the verified target service data according to a target function type, wherein the target function data which can be directly used for development testing canbe automatically generated, so the development testing efficiency is improved. The invention particularly relates to a data processing method and device, computer equipment and a storage medium, andthe data processing method comprises the steps: obtaining target business data, and obtaining a format verification strategy and a target function type corresponding to the target business data; performing format verification on the target service data according to the format verification strategy to obtain verified target service data; and performing function loading processing on the verified target service data according to the target function type to obtain a target function type corresponding to the target service data. In addition, the invention also relates to the blockchain technology,and the format verification strategy and the target function type can be stored in the blockchain.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and in particular to a data processing method, device, computer equipment and storage medium. Background technique [0002] In the process of testing and developing business data in the insurance industry, because the insurance information contained in the business data is different from conventional data information, the format requirements for insurance business data are relatively strict, so it is often encountered that the data format does not correspond, causing the program to fail. Operation, data inconsistency between upstream and downstream systems, business scenarios that cannot be truly restored, etc. For example, in the process of developing and testing business data, program development needs to be carried out in strict accordance with the standardized data format, but inconsistent data format docking often occurs, wasting development and testing time. [0003] Theref...

AI Technical Summary

Problems solved by technology

[0002] In the process of testing and developing business data in the insurance industry, because the insurance information contained in the business data is different from conventional data information, the format requirements for insurance business data are relatively strict, so it is often encountered that the data format does not correspond, causing the program to fail. Problems such as inconsistencies in operation and docking data between upstream and downstream systems, business scenarios that cannot be truly restored, etc.

For example, in the process of developing and testing business data, it is necessary to strictly follow the standardized data format for program development, but often there are inconsistent data formats, which wastes development and testing time

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