CN115269423A

CN115269423A - Test scene-based test method and device, computer equipment and storage medium

Info

Publication number: CN115269423A
Application number: CN202210929151.XA
Authority: CN
Inventors: 祁佩; 王雄伟; 林荣武
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2022-08-03
Filing date: 2022-08-03
Publication date: 2022-11-01

Abstract

The embodiment of the application belongs to the field of data processing, and relates to a test method based on a test scene, which comprises the following steps: receiving a test request input by a user; acquiring a geocode from the test request, carrying out inverse derivation processing on the geocode based on a preset grid algorithm, and generating a corresponding longitude and latitude combination; constructing a test scene corresponding to the longitude and latitude combination; calling an interface corresponding to the test scene to execute the test scene; acquiring interface response data generated after the interface is called, and acquiring expected result data corresponding to the interface; and comparing the interface response data with the expected result data to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result. The application also provides a test device, computer equipment and a storage medium based on the test scene. In addition, the application also relates to a block chain technology, and the test result can be stored in the block chain. The method and the device realize the automatic function test of the network point query, and improve the test efficiency and the test accuracy.

Description

Test scene-based test method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a test method and apparatus based on a test scenario, a computer device, and a storage medium.

Background

Searching for nearby websites through the longitude and latitude of the current location of the user is a common implementation scheme for realizing website search, and a website list nearby the user can be searched for and displayed by processing the longitude and latitude of the current location of the user through a grid algorithm, and distance calculation and the time required for driving to the website are provided for the user to refer to.

At present, in the existing test scheme corresponding to the above-mentioned website query function, a tester needs to manually switch the positioning simulation position change to test the display of the website list. The accuracy of the grid algorithm test needs a large amount of test data, but the processing mode of manually switching the longitude and latitude obtained by positioning needs a large amount of manpower and time, so that the test efficiency is low, and the test accuracy cannot be guaranteed.

Disclosure of Invention

An object of the embodiments of the present application is to provide a test method and apparatus, a computer device, and a storage medium based on a test scenario, so as to solve the technical problems that a test scheme corresponding to an existing website query function needs to consume a large amount of labor and time, so that the test efficiency is low, and the test accuracy cannot be guaranteed.

In order to solve the above technical problem, an embodiment of the present application provides a test method based on a test scenario, which adopts the following technical solutions:

receiving a test request input by a user; wherein the test request carries a geocode;

acquiring the geocode from the test request, and performing reverse derivative processing on the geocode based on a preset grid algorithm to generate a longitude and latitude combination corresponding to the geocode; wherein the number of the longitude and latitude combinations comprises a plurality of;

constructing a test scene corresponding to the longitude and latitude combination;

calling an interface corresponding to the test scene to execute the test scene;

acquiring interface response data generated after the interface is called, and acquiring expected result data corresponding to the interface;

and comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result.

Further, the step of constructing a test scenario corresponding to the longitude and latitude combination specifically includes:

displaying a preset scene creation page corresponding to the longitude and latitude combination;

receiving a component selection instruction input by the user on the scene creation page;

adding a test function component corresponding to the component selection instruction;

and establishing association between the test functional components according to the sequence of the input component selection instruction, and generating a test scene corresponding to the longitude and latitude combination.

Further, the step of comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scenario based on the comparison result specifically includes:

determining a first grid corresponding to the latitude and longitude combination from the interface response data, and determining a second grid corresponding to the latitude and longitude combination from the expected result data;

judging whether the first grid and the second grid are the same grid or not;

if the grid is the same grid, acquiring a first network point number and first network point information corresponding to a preset number of first longitude latitude in the grid from the interface response data, and acquiring a second network point number and second network point information corresponding to the first longitude latitude from the expected result data;

judging whether the number of the first mesh points is the same as that of the second mesh points or not and whether the information of the first mesh points is the same as that of the second mesh points or not;

if the number of the first network points is the same as that of the second network points and the information of the first network points is the same as that of the second network points, a first test result of successful test of the test scene is generated, and if not, a second test result of failed test of the test scene is generated.

Further, the step of obtaining the geocode from the test request, performing inverse derivation processing on the geocode based on a preset grid algorithm, and generating a longitude and latitude combination corresponding to the geocode further includes the specific steps of:

acquiring the user information from the test request;

acquiring face information of the user;

performing identity verification on the user based on the user information, the face information and a preset face image database;

and if the identity authentication is passed, executing the step of acquiring the geocode from the test request, and performing reverse derivative processing on the geocode based on a preset grid algorithm to generate a longitude and latitude combination corresponding to the geocode.

Further, the step of authenticating the user based on the user information, the face information, and a preset face image database specifically includes:

calling the face image database, and judging whether specified user information which is the same as the user information is stored in the face image database;

if specified user information which is the same as the user information is stored, obtaining a specified face image corresponding to the specified user information from the face image database;

calculating a first similarity between a first pupil color contained in the face information and a second pupil color in the designated face image;

calculating second similarity between first interpupillary distance information contained in the face information and second interpupillary distance information in the appointed face image;

generating a comprehensive similarity based on the first similarity and the second similarity;

judging whether the comprehensive similarity is larger than a preset similarity threshold value or not;

if the similarity is larger than the similarity threshold, the identity authentication is judged to be passed, otherwise, the identity authentication is judged not to be passed.

Further, after the step of constructing the test scenario corresponding to the latitude and longitude combination, the method further includes:

judging whether a debugging instruction for the test scene input by the user is received;

if so, debugging the test scene to obtain a processed test scene;

and storing the processed test scene.

Further, after the step of generating a test result corresponding to the test scenario based on the comparison result, the method further includes:

judging whether the test result is a test scene test failure;

if yes, generating a corresponding test report based on the test result;

acquiring communication address information of a target user;

and sending the test report to a communication address corresponding to the communication address information.

In order to solve the above technical problem, an embodiment of the present application further provides a testing apparatus based on a testing scenario, which adopts the following technical scheme:

the receiving module is used for receiving a test request input by a user; wherein the test request carries a geocode;

the first generation module is used for acquiring the geocode from the test request, carrying out inverse derivation processing on the geocode based on a preset grid algorithm and generating a longitude and latitude combination corresponding to the geocode; wherein the number of the longitude and latitude combinations comprises a plurality of;

the building module is used for building a test scene corresponding to the longitude and latitude combination;

the execution module is used for calling an interface corresponding to the test scene to execute the test scene;

the first acquisition module is used for acquiring interface response data generated after the interface is called and acquiring expected result data corresponding to the interface;

and the second generation module is used for comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:

calling an interface corresponding to the test scene to execute the test scene;

acquiring interface response data generated after the interface is called and acquiring expected result data corresponding to the interface;

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:

calling an interface corresponding to the test scene to execute the test scene;

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects:

after receiving a test request input by a user, acquiring a geocode from the test request, performing inverse derivation processing on the geocode based on a preset grid algorithm, generating a longitude and latitude combination corresponding to the geocode, then constructing a test scene corresponding to the longitude and latitude combination, then calling an interface corresponding to the test scene to execute the interface response data generated after the test scene is called, and acquiring expected result data corresponding to the interface. And finally, comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result. According to the method and the device, reverse derivation processing is carried out on the geocode by using a preset grid algorithm, and the longitude and latitude combination corresponding to the geocode is generated, so that a large amount of test data required by the website inquiry function test can be generated in batches, the accuracy and the randomness of the test data are ensured, the test labor and the time cost are greatly saved, a test scene can be constructed subsequently based on the obtained longitude and latitude combination, and then the relevant interface is called to execute the test scene to realize the rapid and accurate generation of the test result corresponding to the test result, so that the automatic function test of the website inquiry is completed, the test efficiency and the test accuracy are improved, and the processing experience of a tester in the test process is improved.

Drawings

In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of a test scenario based testing method according to the present application;

FIG. 3 is a schematic block diagram of one embodiment of a test scenario based test setup according to the present application;

FIG. 4 is a schematic block diagram of one embodiment of a computer device according to the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof in the description and claims of this application and the description of the figures above, are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to a smart phone, a tablet computer, an e-book reader, an MP3 player (Moving Picture experts Group Audio Layer III, motion Picture experts compression standard Audio Layer 3), an MP4 player (Moving Picture experts Group Audio Layer IV, motion Picture experts compression standard Audio Layer 4), a laptop portable computer, a desktop computer, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the

terminal devices

101, 102, 103.

It should be noted that, the test method based on the test scenario provided in the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the test apparatus based on the test scenario is generally disposed in the server/terminal device.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow diagram of one embodiment of a test scenario based testing method in accordance with the present application is shown. The test method based on the test scene comprises the following steps:

step S201, receiving a test request input by a user; wherein the test request carries a geocode.

In the present embodiment, an electronic device (for example, a server/terminal device shown in fig. 1) on which the test scenario-based test method operates. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G/5G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, an UWB (ultra wideband) connection, and other wireless connection means now known or developed in the future.

In this embodiment, the test request is a request triggered by a user and used for generating test data according to an input geocode, and performing a functional test related to a website query according to the test data. The geocode is coded data for performing a test procedure, and the geocode may be data input based on a test operation of a user. The GeoCode may be a GeoCode code.

Step S202, acquiring the geocode from the test request, and performing inverse derivation processing on the geocode based on a preset grid algorithm to generate a longitude and latitude combination corresponding to the geocode; wherein the number of the longitude and latitude combinations comprises a plurality.

In this embodiment, the predetermined grid algorithm is specifically a Geo grid algorithm, or may be referred to as a GeoHash algorithm. The GeoHash is a fixed algorithm to convert latitude and longitude information into a string of characters in the Base32 code table. Specifically, the processing logic of the GeoHash algorithm is as follows: (1) Calculating the latitude and longitude of the target according to the longitude range of-180 degrees, 180 degrees and the latitude range of-90 degrees, 90 degrees; dividing longitude and latitude range intervals, respectively judging the longitude and the latitude, wherein the right side set is 1, and the left side set is 0; this calculation is performed cyclically. (2) And (3) splicing the obtained longitude and latitude results 1 and 0, wherein the longitude is in an even number position (calculated from a 0 position), the latitude is in an odd number position, and the 5-bit binary result is a group and is converted into a decimal number and then is converted into a number in a corresponding Base32 code table to obtain a corresponding GeoHash value. For example, if the geocode inputted by the user is ws10hzcw, the corresponding latitude and longitude combinations [ (114.117363, 22.543658) (114.117365, 22.543653) ] can be generated by performing an inverse derivation process on the geocode ws10hzcw by using the GeoHash algorithm.

The longitude and latitude combination obtained by reversely deriving the geocode by using the GeoHash algorithm can accurately cover the values in the grid, outside the grid and at the edge of the grid, and the situations of excessive deviation of input longitude and latitude and user expectation can not occur. According to the embodiment, the geographic codes are subjected to inverse derivation processing by using the preset grid algorithm, and the longitude and latitude combination corresponding to the geographic codes is generated, so that a large amount of test data required by the site query function test can be generated in batches, the accuracy and the randomness of the test data are ensured, the test labor and the time cost are greatly saved, the testers can perform automatic test and regression by means of one key of electronic equipment, and the processing experience of the testers in the test process is improved.

And S203, constructing a test scene corresponding to the longitude and latitude combination.

In this embodiment, after the longitude and latitude combination is obtained, a test scenario in the longitude and latitude combination and a test scenario outside the longitude and latitude combination may be generated based on the longitude and latitude combination, so as to obtain a plurality of test scenarios.

And step S204, calling an interface corresponding to the test scene to execute the test scene.

In this embodiment, for each test scenario, an interface for the user to perform a test workflow on the test scenario is preset.

Step S205, obtaining the interface response data generated after the interface is called, and obtaining the expected result data corresponding to the interface.

In this embodiment, expected result data is preset for each interface of each test scenario, and if a test result output after the interface executes the test scenario is inconsistent with the expected result data of the interface, it may be determined that the interface is an abnormal interface, so that the abnormal interface is subsequently located for maintenance.

Step S206, comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result.

In this embodiment, the interface response data is compared with the expected result data according to the preset rule to obtain a comparison result, and a specific implementation process of generating the test result corresponding to the test scenario based on the comparison result is described in further detail in the following specific embodiment, which is not described herein in detail.

After receiving a test request input by a user, acquiring a geocode from the test request, performing inverse derivation processing on the geocode based on a preset grid algorithm, generating a longitude and latitude combination corresponding to the geocode, then constructing a test scene corresponding to the longitude and latitude combination, then calling an interface corresponding to the test scene to execute interface response data generated after the test scene is subsequently acquired, and acquiring expected result data corresponding to the interface. And finally, comparing the interface response data with expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result. According to the method and the device, reverse-derivative processing is performed on the geocode by using the preset grid algorithm, and the longitude and latitude combination corresponding to the geocode is generated, so that a large amount of test data required by the website inquiry function test can be generated in batches, the accuracy and the randomness of the test data are ensured, the test labor and the time cost are greatly saved, a test scene can be constructed subsequently based on the obtained longitude and latitude combination, and then the relevant interface is called to execute the test scene to realize the quick and accurate generation of the corresponding test result of the test result, so that the automatic function test of the website inquiry is completed, the test efficiency and the test accuracy are improved, and the processing experience of a tester in the test process is improved.

In some optional implementations, step S203 includes the following steps:

and displaying a preset scene creation page corresponding to the longitude and latitude combination.

In this embodiment, corresponding scene creation pages are set for different longitude and latitude combinations.

And receiving a component selection instruction input by the user on the scene creation page.

In this embodiment, the scene creation page includes a functional component area, and a user may input a component selection instruction in the functional component area in the scene creation page to obtain a test functional component. When a plurality of test function components are obtained by inputting a plurality of component selection instructions, the plurality of test function components can be constructed into a test scene according to a specific sequence. The test scenario may be understood as a scenario in which an event trigger is used to control a process.

And adding a test function component corresponding to the component selection instruction.

In this embodiment, the test function component at least includes an interface component, and the interface component simulates an input interface of a service function in a test scenario. After receiving the component selection instruction, the test function component corresponding to the component selection instruction can be added to a scene design area in the scene creation page. In addition, the triggering manner of the component selection instruction is not limited, and may be an operation instruction of clicking or double clicking a mouse, an operation instruction of dragging a selected component, or the like.

After receiving a component selection instruction input by a user at a preset scene creation page corresponding to the longitude and latitude combination, the method and the device can quickly generate a corresponding test scene based on the sequence of the service function components corresponding to the component selection instruction, and are beneficial to subsequent test processing based on the test scene, so that the test efficiency is improved, and the use experience of the user in the test process can be optimized. According to the method and the device, the geographic codes are subjected to inverse derivation processing by using the preset grid algorithm to generate the corresponding longitude and latitude combination, so that a large amount of test data required by the website inquiry function test can be generated in batches, the accuracy and the randomness of the test data can be ensured, the test labor and the time cost are greatly saved, and a tester can perform automatic test and regression by one key through electronic equipment.

In some optional implementations of this embodiment, step S206 includes the following steps:

and determining a first grid corresponding to the longitude and latitude combination from the interface response data, and determining a second grid corresponding to the longitude and latitude combination from the expected result data.

In this embodiment, one latitude and longitude combination corresponds to only one grid.

And judging whether the first grid and the second grid are the same grid or not.

If the grid is the same grid, acquiring the first network point number and the first network point information corresponding to the first longitude latitude of the preset number in the grid from the interface response data, and acquiring the second network point number and the second network point information corresponding to the first longitude latitude from the expected result data.

In this embodiment, the value of the preset number is not limited, and may be determined according to the actual service usage requirement. Preferably, the preset number is 5, and the first longitude and latitude includes a longitude and latitude of an upper left end point, a longitude and latitude of an upper right end point, a longitude and latitude of a lower left end point, a longitude and latitude of a lower right end point, and a longitude and latitude of a center point in the grid. The website information may refer to a website name of the website. For example, if the website refers to a gas station, the website information refers to the name of the gas station.

And judging whether the number of the first mesh points is the same as that of the second mesh points or not and whether the first mesh point information is the same as that of the second mesh points or not.

According to the method and the device, the interface response data and the expected result data are compared to obtain the comparison result, and then the test result corresponding to the test scene can be quickly and accurately generated based on the obtained comparison result. In addition, the longitude and latitude of the preset number are selected from the longitude and latitude combination, and the comparison result is generated by comparing the number of the network points corresponding to the longitude and latitude and the network point information with corresponding data in expected result data, without acquiring all the longitudes and latitudes contained in the longitude and latitude combination for comparison, so that the data processing amount in the test process is effectively reduced, and the test efficiency and the test intelligence in the test process are improved.

In some optional implementation manners, the test request further carries user information of the user, and step S202 includes the following steps:

and acquiring the user information from the test request.

In this embodiment, the user information may include name information of the user or ID information of the user.

And acquiring the face information of the user.

In this embodiment, the face information may be face information in a face image of the user acquired by a camera of the electronic device.

And performing identity verification on the user based on the user information, the face information and a preset face image database.

In this embodiment, the specific implementation process of performing the identity verification on the user based on the user information, the face information, and the preset face image database is described in further detail in the following specific embodiments, and will not be described in detail herein.

According to the method and the device, after the test request input by the user is received, the user can be firstly subjected to identity verification, the test request can be subsequently responded only when the user passes the identity verification, the geocode is obtained from the test request, and the subsequent test processing flow is executed through the geocode, so that adverse consequences caused by responding to the test request input by an illegal user can be effectively avoided, the safety and the standardization in the test request processing process are effectively guaranteed, and the intelligence of test request processing is improved.

In some optional implementation manners, the performing identity verification on the user based on the user information, the face information, and a preset face image database includes the following steps:

and calling the face image database, and judging whether the designated user information which is the same as the user information is stored in the face image database.

In this embodiment, the face image database is a database created in advance and recording user information of each legal user and face images corresponding to the user information one to one.

And if the specified user information which is the same as the user information is stored, obtaining a specified face image corresponding to the specified user information from the face image database.

And calculating a first similarity between a first pupil color contained in the face information and a second pupil color in the designated face image.

And calculating second similarity between first pupil distance information contained in the face information and second pupil distance information in the specified face image.

In this embodiment, the calculation manner of the first similarity and the second similarity is not specifically limited, and may be set according to actual use requirements, for example, cosine similarity, euclidean distance, manhattan distance, and the like are adopted.

And generating a comprehensive similarity based on the first similarity and the second similarity.

In this embodiment, a first weight corresponding to the first similarity may be preset, a second weight corresponding to the second similarity may be preset, and the first similarity and the second similarity may be weighted and summed based on the first weight and the second weight to generate the integrated similarity. The values of the first weight and the second weight are not specifically limited, and may be set according to actual use requirements, and preferably, the sum of the first weight and the second weight is equal to 1.

And judging whether the comprehensive similarity is larger than a preset similarity threshold value.

In this embodiment, specific values of the similarity threshold are not specifically limited, and may be set according to actual use requirements.

And if the similarity is larger than the similarity threshold, judging that the identity authentication is passed, otherwise, judging that the identity authentication is not passed.

According to the method and the device, accurate identity verification processing for the user is realized by adopting a multiple identity verification mode corresponding to user information matching, pupil color information comparison and pupil distance information comparison in the face image, and the reliability and accuracy of identity verification are improved, so that adverse consequences caused by response to a test request input by an illegal user are effectively avoided, and the safety and the normalization in the process of processing the test request are effectively ensured.

In some optional implementation manners of this embodiment, after step S203, the electronic device may further perform the following steps:

and judging whether a debugging instruction for the test scene input by the user is received.

In this embodiment, after the test scenario is created, debugging is required, so that the test scenario can be provided to other users for use at the same time, and interface operation information of the test scenario by other users is prompted in real time. The debugging instruction is an instruction which is triggered by a user and is used for debugging the built and generated test scene.

If so, debugging the test scene to obtain a processed test scene.

In this embodiment, the debugging parameters input by the user may be obtained first, and then the debugging process may be performed on the test scenario based on the debugging input by the user, so as to obtain the processed test scenario.

And storing the processed test scene.

In this embodiment, a user may store the constructed test scenario in the form of multiple layers of Json strings in the database by clicking a save button, where each layer of Json string corresponds to one test function component.

After the test scene corresponding to the longitude and latitude combination is constructed and generated, the test scene can be debugged based on a debugging instruction triggered by a user, so that the required test scene capable of being normally used is regenerated, and the use experience of the user is improved.

In some optional implementations of this embodiment, after step S206, the electronic device may further perform the following steps:

and judging whether the test result is a test scene test failure or not.

In this embodiment, the content of the test result includes test scenario test success or test scenario test failure.

And if so, generating a corresponding test report based on the test result.

In this embodiment, the test result may be filled in a preset report template to generate the test report. The report template is pre-created according to actual service requirements.

And acquiring the communication address information of the target user.

In this embodiment, the target user may be a developer related to a test job. The communication address information may include telephone numbers, mail addresses, and the like.

According to the method and the device, if the test result of the test failure is generated after the test scene is tested by using the interface, the corresponding test report can be generated based on the test result, and the test report is sent to the relevant developers, so that the developers can timely perform corresponding adjustment processing on the test work based on the obtained test report, and the experience of the testers in the test process is favorably improved.

It is emphasized that the test results may also be stored in the nodes of a block chain in order to further ensure the privacy and security of the test results.

The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware that is configured to be instructed by computer-readable instructions, which can be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the embodiments of the methods described above. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a test apparatus based on a test scenario, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.

As shown in fig. 3, the test apparatus 300 according to the present embodiment includes: a receiving module 301, a first generating module 302, a constructing module 303, an executing module 304, a first obtaining module 305, and a second generating module 306. Wherein:

a receiving module 301, configured to receive a test request input by a user; wherein the test request carries a geocode;

a first generating module 302, configured to obtain the geocode from the test request, perform inverse derivation processing on the geocode based on a preset grid algorithm, and generate a longitude and latitude combination corresponding to the geocode; wherein the number of the longitude and latitude combinations comprises a plurality of;

a building module 303, configured to build a test scenario corresponding to the longitude and latitude combination;

an execution module 304, configured to invoke an interface corresponding to the test scenario to execute the test scenario;

a first obtaining module 305, configured to obtain interface response data generated after the interface is called, and obtain expected result data corresponding to the interface;

the second generating module 306 is configured to compare the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generate a test result corresponding to the test scenario based on the comparison result.

In this embodiment, the operations respectively executed by the modules or units correspond to the steps of the test scenario-based test method in the foregoing embodiment one to one, and are not described herein again.

In some optional implementations of this embodiment, the building module 303 includes:

the display sub-module is used for displaying a preset scene creation page corresponding to the longitude and latitude combination;

the receiving submodule is used for receiving a component selection instruction input by the user in the scene creation page;

the adding submodule is used for adding a test function component corresponding to the component selecting instruction;

and the generation sub-module is used for establishing association of the test functional components according to the sequence of the input component selection instruction and generating a test scene corresponding to the longitude and latitude combination.

In some optional implementations of this embodiment, the second generating module 306 includes:

the determining submodule is used for determining a first grid corresponding to the longitude and latitude combination from the interface response data and determining a second grid corresponding to the longitude and latitude combination from the expected result data;

the first judgment submodule is used for judging whether the first grid and the second grid are the same grid or not;

a first obtaining sub-module, configured to, if the two grids are the same grid, obtain, from the interface response data, a first mesh point number and first mesh point information corresponding to a preset number of first longitude and latitude in the grid, and obtain, from the expected result data, a second mesh point number and second mesh point information corresponding to the first longitude and latitude;

a second judging submodule, configured to judge whether the number of the first mesh points is the same as that of the second mesh points, and whether the first mesh point information is the same as that of the second mesh points;

and the second generation submodule is used for generating a first test result of successful test of the test scene if the number of the first mesh points is the same as that of the second mesh points and the information of the first mesh points is the same as that of the second mesh points, and otherwise generating a second test result of failed test of the test scene.

In this embodiment, the operations that the modules or units are respectively used to execute correspond to the steps of the test scenario-based test method in the foregoing embodiment one to one, and are not described herein again.

In some optional implementation manners of this embodiment, the test request further carries user information of the user, and the first generating module 302 includes:

the second obtaining submodule is used for obtaining the user information from the test request;

the third acquisition sub-module is used for acquiring the face information of the user;

the verification sub-module is used for verifying the identity of the user based on the user information, the face information and a preset face image database;

and the execution sub-module is used for executing the step of acquiring the geocode from the test request if the identity authentication is passed, and performing reverse derivative processing on the geocode based on a preset grid algorithm to generate a longitude and latitude combination corresponding to the geocode.

In some optional implementations of this embodiment, the verification sub-module includes:

the first judgment unit is used for calling the face image database and judging whether specified user information which is the same as the user information is stored in the face image database;

an acquisition unit configured to acquire, if specified user information identical to the user information is stored, a specified face image corresponding to the specified user information from the face image database;

the first calculating unit is used for calculating a first similarity between a first pupil color contained in the face information and a second pupil color in the designated face image;

a second calculating unit, configured to calculate a second similarity between first pupil distance information included in the face information and second pupil distance information in the designated face image;

a generating unit, configured to generate a comprehensive similarity based on the first similarity and the second similarity;

the second judging unit is used for judging whether the comprehensive similarity is larger than a preset similarity threshold value or not;

and the judging unit is used for judging that the identity authentication is passed if the similarity threshold is larger than the similarity threshold, and otherwise, judging that the identity authentication is not passed.

In some optional implementation manners of this embodiment, the test device based on the test scenario further includes:

the first judgment module is used for judging whether a debugging instruction for the test scene input by the user is received or not;

the debugging module is used for debugging the test scene if the test scene is the same as the test scene, so as to obtain a processed test scene;

and the storage module is used for storing the processed test scene.

the second judgment module is used for judging whether the test result is a test scene test failure;

a third generating module, configured to generate, if yes, a corresponding test report based on the test result;

the second acquisition module is used for acquiring the communication address information of the target user;

and the sending module is used for sending the test report to a communication address corresponding to the communication address information.

In this embodiment, the operations that the modules or units are respectively configured to execute correspond to the steps of the test scenario-based test method in the foregoing embodiment one to one, and are not described herein again.

In order to solve the technical problem, an embodiment of the present application further provides a computer device. Referring to fig. 4 in particular, fig. 4 is a block diagram of a basic structure of a computer device according to the embodiment.

The computer device 4 comprises a memory 41, a processor 42, and a network interface 43, which are communicatively connected to each other via a system bus. It is noted that only computer device 4 having components 41-43 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 4. Of course, the memory 41 may also include both internal and external storage devices of the computer device 4. In this embodiment, the memory 41 is generally used for storing an operating system installed in the computer device 4 and various types of application software, such as computer readable instructions of a test method based on a test scenario. Further, the memory 41 may also be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute the computer readable instructions or process data stored in the memory 41, for example, execute the computer readable instructions of the test scenario based test method.

The network interface 43 may comprise a wireless network interface or a wired network interface, and the network interface 43 is generally used for establishing communication connection between the computer device 4 and other electronic devices.

in the embodiment of the application, after a test request input by a user is received, a geocode is obtained from the test request, reverse derivation processing is carried out on the geocode based on a preset grid algorithm, a longitude and latitude combination corresponding to the geocode is generated, then a test scene corresponding to the longitude and latitude combination is constructed, then an interface corresponding to the test scene is called to execute interface response data generated after the test scene is called, and expected result data corresponding to the interface is obtained. And finally, comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result. According to the method and the device, reverse-derivative processing is performed on the geocode by using the preset grid algorithm, and the longitude and latitude combination corresponding to the geocode is generated, so that a large amount of test data required by the website inquiry function test can be generated in batches, the accuracy and the randomness of the test data are ensured, the test labor and the time cost are greatly saved, a test scene can be constructed subsequently based on the obtained longitude and latitude combination, and then the relevant interface is called to execute the test scene to realize the quick and accurate generation of the corresponding test result of the test result, so that the automatic function test of the website inquiry is completed, the test efficiency and the test accuracy are improved, and the processing experience of a tester in the test process is improved.

The present application further provides another embodiment, which is to provide a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the test scenario-based testing method as described above.

in the embodiment of the application, after a test request input by a user is received, a geocode is obtained from the test request, reverse derivation processing is carried out on the geocode based on a preset grid algorithm, a longitude and latitude combination corresponding to the geocode is generated, then a test scene corresponding to the longitude and latitude combination is constructed, then an interface corresponding to the test scene is called to execute interface response data generated after the test scene is called, and expected result data corresponding to the interface is obtained. And finally, comparing the interface response data with expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scene based on the comparison result. According to the method and the device, reverse-derivative processing is performed on the geocode by using the preset grid algorithm, and the longitude and latitude combination corresponding to the geocode is generated, so that a large amount of test data required by the website inquiry function test can be generated in batches, the accuracy and the randomness of the test data are ensured, the test labor and the time cost are greatly saved, a test scene can be constructed subsequently based on the obtained longitude and latitude combination, and then the relevant interface is called to execute the test scene to realize the quick and accurate generation of the corresponding test result of the test result, so that the automatic function test of the website inquiry is completed, the test efficiency and the test accuracy are improved, and the processing experience of a tester in the test process is improved.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (such as a ROM/RAM, a magnetic disk, and an optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and the embodiments are provided so that this disclosure will be thorough and complete. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. A test method based on a test scene is characterized by comprising the following steps:

calling an interface corresponding to the test scene to execute the test scene;

2. The test scenario-based test method of claim 1, wherein the step of constructing the test scenario corresponding to the latitude and longitude combination specifically comprises:

3. The test scenario-based test method according to claim 1, wherein the step of comparing the interface response data with the expected result data according to a preset rule to obtain a comparison result, and generating a test result corresponding to the test scenario based on the comparison result specifically includes:

determining a first grid corresponding to the longitude and latitude combination from the interface response data, and determining a second grid corresponding to the longitude and latitude combination from the expected result data;

judging whether the first grid and the second grid are the same grid or not;

judging whether the number of the first mesh points is the same as that of the second mesh points or not and whether the first mesh point information is the same as that of the second mesh points or not;

if the number of the first mesh points is the same as that of the second mesh points and the information of the first mesh points is the same as that of the second mesh points, a first test result that the test scene test is successful is generated, and if not, a second test result that the test scene test is failed is generated.

4. The test scenario-based test method according to claim 1, wherein the test request further carries user information of the user, and the step of obtaining the geocode from the test request, performing inverse derivation processing on the geocode based on a preset grid algorithm, and generating a longitude and latitude combination corresponding to the geocode specifically includes:

acquiring the user information from the test request;

acquiring face information of the user;

5. The test scenario-based test method of claim 4, wherein the step of authenticating the user based on the user information, the face information, and a preset face image database specifically comprises:

calculating a second similarity between first interpupillary distance information contained in the face information and second interpupillary distance information in the designated face image;

6. The test scenario-based testing method of claim 1, wherein after the step of constructing the test scenario corresponding to the latitude and longitude combination, further comprising:

if so, debugging the test scene to obtain a processed test scene;

and storing the processed test scene.

7. The test scenario-based test method of claim 1, further comprising, after the step of generating the test result corresponding to the test scenario based on the comparison result:

judging whether the test result is a test scene test failure;

if yes, generating a corresponding test report based on the test result;

acquiring communication address information of a target user;

8. A test scenario-based test device, comprising:

9. A computer device comprising a memory having computer readable instructions stored therein and a processor which when executed implements the steps of the test scenario-based testing method of any one of claims 1 to 7.

10. A computer-readable storage medium having computer-readable instructions stored thereon which, when executed by a processor, implement the steps of the test scenario-based testing method of any one of claims 1 to 7.