A method and system for realizing accelerated interface data request

Abstract

The invention provides a method for realizing an acceleration interface data request. The method comprises the following steps: S1, configuring a script name, configuring a script request mode, configuring a data source of each interface, configuring a report display mode, and configuring memory and CPU requirements; S2, when any script is executed, monitoring the script execution environment of the current service, conducting time delay operation when the service task content is large, and executing the step S3 under the condition that the environment allows the script execution environment to be monitored; S3, adjusting the optimal concurrent thread number according to the expected time of the user, dividing the data of the data source of the interface into each thread for execution, monitoring the execution state, and pushing the task when the execution is completed; S4, reading the data source, and storing the request data, the response result, the response time and the response code according to the data structure of the json structure body. High-concurrency execution of the interface request is realized, and script execution time is effectively shortened.

Description

technical field [0001] The invention relates to the technical field of automated testing, in particular to a method and system for realizing accelerated interface data requests. Background technique [0002] Today, with the rapid development of big data, many services have realized the separation of the front and back ends, and the back end provides a restful API for the front end to call. Among them, there are many application scenarios that require data verification. Among them, for example: intelligent dialogue, handwriting recognition and other fields, there are huge data sets to be verified. There are two conventional verification methods: 1) Functional test and acceptance through the application front-end; 2) Directly read a certain text or database to initiate an interface request through a script, and then make conditional judgments based on the returned data. [0003] Disadvantage 1, if you pass the functional test and acceptance, although it is intuitive, it is v...

AI Technical Summary

Problems solved by technology

[0003] Disadvantage 1, if you pass the functional test and acceptance, although it is intuitive, it is very weak when the data volume is high, and it cannot be completed at all

[0004] Disadvantage 2. At present, relatively mature script tests generally use automated scripts to make interface requests and input them into a file report through conditional judgment. Generally, the entire automated script needs to complete the test before seeing the results.

There is no way to know the current one execution during the test

At the same time, if a large number of scripts are frequently used to execute concurrent requests through the interface, the CPU and memory usage will be relatively large. If the CPU or memory is full, the program may crash, or even the script server may fail.

[0005] Disadvantage 3. At present, the execution results of most interface scripts are to generate reports through file storage and other methods according to the predetermined rules of the program.

It is difficult to implement for some testers who do not have scripting ability. At the same time, the test needs to carry out a personal analysis or report arrangement for a large amount of data, and the process cost is relatively high.

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