Log processing method and device

Abstract

The embodiment of the invention provides a log processing method and device. The method comprises the steps of obtaining target log data corresponding to a target service type; determining process configuration information corresponding to the target service type; for each process item in the process configuration information, determining whether the target log data lacks first key information corresponding to the process item or not; and when it is determined that the target log data does not lack the first key information corresponding to the process item, generating first process result information corresponding to the process item according to the target log data. According to the embodiment of the invention, the process item of the target log data is analyzed, so that the service problem can be quickly positioned through the first process result information when the service fails, and the positioning efficiency of the service problem is improved.

Description

technical field [0001] The present invention relates to the technical field of Internet of Things, in particular to a log processing method and device. Background technique [0002] In the Internet of Vision, when a problem occurs in the Internet of Vision business, since the Internet of Vision business may involve multi-party component products (such as terminals, meeting management, core servers, etc.), testers often do not know where the problem occurs immediately. The superficial phenomena come to the corresponding R&D personnel for positioning, which leads to low efficiency of problem positioning. [0003] For example, when uploading a conference fails, the tester will first find the R&D personnel of the R&D team for positioning. After locating the R&D personnel, they find that the result returned by the core server is wrong. The problem is forwarded to the relevant R&D personnel of the core server. After the personnel were located, it was finally found that the termin...

AI Technical Summary

Problems solved by technology

[0002] In the Internet of Vision, when there is a problem with the Internet of Vision business, since the Internet of Vision business may involve multiple component products (such as terminals, meeting management, core servers, etc.), testers often do not know where the problem occurs immediately, and can only rely on Find the corresponding R&D personnel to locate the surface phenomenon, resulting in low efficiency of problem location

[0003] For example, when uploading a meeting fails, the tester will first find the R&D personnel of the R&D team for positioning. After locating the R&D personnel, they find that the result returned by the core server is wrong. The problem is forwarded to the relevant R&D personnel of the core server. After locating personnel, it was finally found that it was caused by terminal business logic errors. During this process, due to the inability to accurately find the link where the problem occurred, a lot of time was wasted in locating the problem, resulting in low efficiency in locating business problems.

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