Advertisement request construction method and device, equipment and storage medium

Abstract

The embodiment of the invention provides an advertisement request construction method and device, equipment and a storage medium, and the method comprises the steps: obtaining the data of an order, and obtaining the configuration data of an advertisement engine for carrying out a recall test on the advertisement order, wherein the configuration data comprises at least one preset advertisement putting condition, and the advertisement putting condition is a condition which can be satisfied by an advertisement put by the advertisement engine; analyzing the data of the advertisement order to at least obtain analysis data used for constructing the advertisement request; and constructing at least one advertisement request based on the analysis data and the at least one advertisement putting condition. Therefore, the advertisement request can be automatically constructed, the construction efficiency of the advertisement request is improved, and a foundation is laid for improving the test efficiency of the advertisement engine.

Description

technical field [0001] The present invention relates to the technical field of testing, in particular to a construction method, device, equipment and storage medium of an advertisement request. Background technique [0002] The advertisement engine may provide services for placing advertisements of advertisers. Before the advertising engine goes online or when the advertising business is iterating, it is necessary to test the advertising engine to improve the accuracy of the service. When testing the advertising engine, it is possible to simulate and respond to advertising requests from the advertising front end in different scenarios, and according to the debugging (debug) node information (that is, the log information generated in different processing stages) generated during the advertising engine's response to the advertising request, Carry out logical tests of different processing stages, etc., for example, carry out logical tests on different processing stages such as...

AI Technical Summary

Problems solved by technology

[0004] However, in the face of the rapid iteration of the advertising business, the efficiency of constructing the advertisement request above cannot meet the actual needs. This is because a lot of accurate work needs to be manually done before constructing the advertisement request. For example, testers need to contact the technical team to check the crawling Modify the value of the parameters in the actual ad request, and contact the technical team to write the parameters that need to be matched. The whole preparation process is time-consuming, the execution steps are complicated, the scene construction is difficult, and the cross-team communication cost is increased, resulting in the ad request Inefficient construction, which in turn leads to inefficient testing

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