Data scene generation method and device and computer equipment
A computer and scene technology, applied in structured data retrieval, database management systems, special data processing applications, etc., can solve the problems of difficult data scene generation and inability to meet dynamic interface orientation.
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Embodiment 1
[0036] This embodiment provides a method for generating a data scene, which is applied in the technical field of data generation to realize automatic association generation of data scenes. Such as figure 1 As shown, the method includes the following steps:
[0037] S11. Obtain target data, where the target data includes a type field.
[0038] Exemplarily, the target data refers to basic data corresponding to the data interface, such as login test data corresponding to the data interface. The target data can be obtained through manual entry or through import. In this embodiment of the present application, the target data is acquired in an import manner, so as to improve the efficiency of acquiring the target data. The import method can be imported by swagger, postmain, jmx, or har file. This application does not limit the introduction method, which can be determined by those skilled in the art according to actual needs. The acquired target data includes a corresponding typ...
Embodiment 2
[0081] This embodiment provides a device for generating data scenarios, which is applied in the technical field of data generation to realize automatic association generation of data scenarios, such as Figure 13 As shown, the generating device of the data scene includes:
[0082] The acquiring module 21 is configured to acquire target data, and the target data includes a type field; for details, please refer to the relevant description of step S11 in any of the above method embodiments, which will not be repeated here.
[0083] The first determining module 22 is configured to determine multiple data interfaces corresponding to the target data according to the type field. For details, refer to the relevant description of step S12 in any of the above method embodiments, and details are not repeated here.
[0084] The second determination module 23 is configured to respectively determine the target data interface corresponding to each data interface according to the multiple da...
Embodiment 3
[0109] The embodiment of the present invention also provides a computer device, such as Figure 14 As shown, the device includes a processor 31 and a memory 32, wherein the processor 31 and the memory 32 can be connected via a bus or in other ways, Figure 14 Take connection via bus as an example.
[0110] The processor 31 may be a central processing unit (Central Processing Unit, CPU). Processor 31 can also be other general-purpose processors, digital signal processor (Digital Signal Processor, DSP), graphics processing unit (Graphics Processing Unit, GPU), embedded neural network processor (Neural-network Processing Unit, NPU) or other Dedicated deep learning coprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the...
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