CN114661582A - Video platform testing system and method - Google Patents
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- CN114661582A CN114661582A CN202210203189.9A CN202210203189A CN114661582A CN 114661582 A CN114661582 A CN 114661582A CN 202210203189 A CN202210203189 A CN 202210203189A CN 114661582 A CN114661582 A CN 114661582A
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Abstract
The invention provides a video platform test system and a method, the system comprises at least one robot module and an intelligent processing module, wherein each robot module is used for connecting a tested terminal, collecting terminal data of the tested terminal, processing the terminal data according to a preset processing rule, outputting the processed terminal data, collecting picture information of the tested terminal, and sending the picture information to the intelligent processing module; the intelligent processing module is used for receiving the picture information, analyzing the picture information to obtain analysis information, and detecting the tested terminal based on the analysis information. The terminal data of the tested terminal is collected through the robot module, so that the different tested terminals are compatible, manual testing of testers is not needed, the different terminals, equipment and platforms can be compatible, testing is more efficient, and the test result is more accurate through analysis and detection of the intelligent processing module.
Description
Technical Field
The invention relates to the technical field of video platform testing, in particular to a video platform testing system and a video platform testing method.
Background
With the vigorous development of IPTV, internet video, and mobile internet video services, developers/operators are under pressure of increasing manpower cost while pursuing high-speed development. Particularly, in the aspect of system testing, up to 80% of functional tests are still completed by manual testing, a large amount of repeatedly executed testing work is performed in the process, the manual execution efficiency is low, the cost is high, and the testing effect is not ideal. Thus, as testing efforts increase and labor costs become more expensive, developers/operators are forced to find more perfect testing solutions.
The video service relates to a plurality of end-to-end technical links, including a Content provider, a broadcast control platform, a Network, a Content Delivery Network (CDN), a home gateway, a terminal, and the like, where a problem in each link affects reliability and service quality of an end-to-end service. The video service system faces various testing requirements in the development, release and operation processes, including frequent regression testing, operation testing, security testing and the like.
Although some automatic testing methods exist, the method has many limitations: 1) the requirement on testers is high, and most of automatic testing tools need to compile codes; 2) the cross-system coordination capability is not enough, in the testing process, various devices (such as SDN gateway controllers) and various instruments (such as network damage instruments) in an end-to-end service system need to be controlled, the coordination and unification of the testing are realized, and an automatic testing tool does not have the capability; 3) the intelligent level is low, and the traditional automatic testing tool does not have the analysis and judgment capability of a terminal UI interface, such as icon Recognition, OCR (Optical Character Recognition), and the like, and also does not have the AI automatic dial testing capability.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a video platform testing system and method.
A video platform testing system comprising: at least one robot module and an intelligent processing module,
each robot module is used for connecting a tested terminal, acquiring terminal data of the tested terminal, processing the terminal data according to a preset processing rule, outputting the processed terminal data, acquiring picture information of the tested terminal, and sending the picture information to the intelligent processing module;
the intelligent processing module is used for receiving the picture information, analyzing the picture information to obtain analysis information, and detecting the tested terminal based on the analysis information.
In one embodiment, each robot module is configured to obtain at least one test case, analyze the test case to obtain a test rule, connect to a terminal to be tested according to the test rule, collect terminal data of the terminal to be tested, process the terminal data according to a preset processing rule, collect picture information of the terminal to be tested, and send the picture information to the intelligent processing module.
In one embodiment, the video platform testing system further comprises a monitoring module;
the monitoring module is used for monitoring the running state of each robot module, and when the robot module is monitored to be abnormal, alarm information is output.
In an embodiment, each of the robot modules is further configured to screen the acquired terminal data according to a preset screening rule to obtain screened terminal data, and process the screened terminal data according to the preset processing rule.
In an embodiment, each of the robot modules is configured to process the terminal data according to a preset processing rule to obtain the processed terminal data, and output the processed terminal data according to a preset template.
In one embodiment, the intelligent processing module parsing the picture information comprises: OCR text recognition, natural voice processing, scene recognition, station logo recognition, Canton recognition, ambiguity recognition, plosive recognition, focus recognition, face recognition and icon recognition.
In one embodiment, the robot system further comprises a scheduling module, wherein the scheduling module is used for controlling each robot module and scheduling each robot module.
A video platform testing method, comprising:
acquiring terminal data of a tested terminal through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data;
collecting the picture information of the tested terminal;
and analyzing the picture information to obtain analysis information, and detecting the tested terminal based on the analysis information.
In one embodiment, the step of acquiring terminal data of the terminal to be tested through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data includes:
the method comprises the steps of obtaining at least one test case through a robot module, analyzing the test case to obtain a test rule, connecting a tested terminal according to the test rule, collecting terminal data of the tested terminal, processing the terminal data according to a preset rule, and outputting the processed terminal data.
In one embodiment, the step of acquiring terminal data of the terminal to be tested through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data includes:
the method comprises the steps of collecting terminal data of a terminal to be tested through a robot module, screening the collected terminal data according to a preset screening rule to obtain screened terminal data, processing the screened terminal data according to a preset processing rule, and outputting the processed terminal data.
According to the video platform test system and method, the terminal data of the tested terminal are collected through the robot module, so that different tested terminals can be compatible, manual tests of testers are not needed, different types of terminals, equipment and platforms can be compatible, the test is more efficient, and the test result is more accurate through analysis and detection of the intelligent processing module.
Drawings
FIG. 1 is a system block diagram of a video platform test system in one embodiment;
FIG. 2 is a flow diagram illustrating a method for video platform testing in accordance with one embodiment;
FIG. 3 is an architecture diagram of a video platform test system in one embodiment;
FIG. 4 is a diagram illustrating an exemplary implementation of a video platform testing system;
FIG. 5 is a diagram illustrating an exemplary connection interface between a robot and a terminal under test;
FIG. 6 is a functional diagram of an AI module in accordance with an embodiment;
FIG. 7A is an architecture diagram of a test system in one test embodiment;
FIG. 7B is a block diagram of a test system in another example embodiment;
FIG. 7C is an architecture diagram of a test system in yet another test embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Example one
In this embodiment, as shown in fig. 1, a video platform testing system is provided, which includes: each robot module 110 is used for connecting a terminal to be tested, acquiring terminal data of the terminal to be tested, processing the terminal data according to a preset processing rule, outputting the processed terminal data, acquiring picture information of the terminal to be tested, and sending the picture information to the intelligent processing module 120; the intelligent processing module 120 is configured to receive the picture information, analyze the picture information to obtain analysis information, and detect the terminal to be tested based on the analysis information.
In this embodiment, the robot module may also be referred to as a robot, the robot module supports various types of terminals, such as a set-top box, a mobile phone, a tablet computer, and a personal computer, the terminal to be tested also includes an operation console of a third-party system, for example, an SDN (Software Defined Network) gateway controller in a video service end-to-end system, and the robot is implemented to adjust an SDN control policy in a testing process.
The robot module can be connected with a tested terminal in The modes of infrared signals, Bluetooth, USB (Universal Serial BUS), voice and The like, supports various video applications such as IPTV (interactive network television) video, OTT (over The Top) internet video, mobile phone APP video, outdoor large screen and The like, and has UI (User Interface) Interface AI analysis capability and overall process monitoring capability. And the control of the tested terminal and the identification of the picture are realized through the robot module.
The terminal data output by the robot module can be output to a background, monitored by monitoring personnel and also output to other platforms.
The intelligent processing module is also called an AI (Artificial Intelligence) module, and can analyze a video picture of a terminal, so as to comprehensively and deeply analyze the video picture.
In this embodiment, on the basis of RPA (robot Process Automation), the video picture recognition and analysis capability is increased, and full-automatic testing of a video system is realized. In this embodiment, test information is input to the terminal to be tested in advance, so that the terminal to be tested operates based on the test information, and the test information may be pre-recorded video information or real-time playing information. Therefore, the tested terminal runs based on the test information and outputs the picture information, the robot module collects the terminal data of the tested terminal at the moment, the terminal data are processed according to the preset processing rule, the processed terminal data are output, the picture information of the tested terminal is collected, and the picture information is processed through the intelligent processing module, so that the tested terminal is detected to be in a state corresponding to the test information, and the test of the tested terminal is realized.
In the above embodiment, gather the terminal data at the terminal under test through the robot module to compatible different terminal under test need not tester manual test, and can compatible different grade type terminal, equipment, platform, make the test more high-efficient, and through intelligent processing module's analytic detection, make the test result more accurate.
In one embodiment, each robot module is configured to obtain at least one test case, analyze the test case to obtain a test rule, connect to a terminal to be tested according to the test rule, collect terminal data of the terminal to be tested, process the terminal data according to a preset processing rule, collect picture information of the terminal to be tested, and send the picture information to the intelligent processing module.
In the embodiment, a plurality of test cases are stored in advance, each test case is used for testing a tested terminal, different test cases are set for different types of tested terminals, the content recorded by each test case comprises a test rule, data to be collected, test duration, test items and the like, according to the test case, the test rule of the corresponding tested terminal can be obtained, and the test data type and the test item of the tested terminal can be obtained, so that, the terminal to be tested can be connected according to the test rule, the terminal data of the terminal to be tested is collected according to the data type and the test item required by the test case, and processing the terminal data according to a preset processing rule, acquiring the picture information of the tested terminal according to the test item of the test case, and sending the picture information to the intelligent processing module.
In one embodiment, referring again to fig. 1, the video platform testing system further comprises a monitoring module 130; the monitoring module 130 is configured to monitor an operation state of each robot module, and output alarm information when it is monitored that the robot module is abnormal.
In this embodiment, the monitoring module 130 provides a visual monitoring interface for observing and recording the real-time operation condition of each robot module, obtaining the operation state of the robot module, and outputting a visual alarm message to the abnormal result executed by the robot module.
In an embodiment, each of the robot modules is further configured to screen the acquired terminal data according to a preset screening rule to obtain screened terminal data, and process the screened terminal data according to the preset processing rule.
In this embodiment, before processing the terminal data of the terminal to be tested, the terminal data is screened, the screening rule of the terminal data is determined according to the test cases, and each test case corresponds to a preset screening rule, so that different screening is performed on the terminal data in different test cases to obtain the terminal data to be processed.
In an embodiment, each of the robot modules is configured to process the terminal data according to a preset processing rule to obtain the processed terminal data, and output the processed terminal data according to a preset template.
In this embodiment, the processed terminal data may be output as different templates according to the test requirements, for example, the preset template is in an excel format, so that the processed terminal data may be output as data in the excel format, and in other embodiments, data in templates in other formats may also be output.
In one embodiment, the intelligent processing module parsing the picture information comprises: OCR text recognition, natural voice processing, scene recognition, station logo recognition, Canton recognition, ambiguity recognition, plosive recognition, focus recognition, face recognition and icon recognition.
In this embodiment, the intelligent processing module can respectively perform OCR text recognition, natural speech processing, scene recognition, station logo recognition, katon recognition, ambiguity recognition, pop recognition, focus recognition, face recognition and icon recognition on the picture information, thereby detecting whether the image information of the detected terminal is accurate.
In one embodiment, the video platform testing system further comprises a scheduling module, wherein the scheduling module is used for controlling each robot module and scheduling each robot module.
In this embodiment, the scheduling module is configured to schedule the robot module, control a workflow of the robot module, and issue a test task for the robot module. The control of the robot module includes controlling the robot to start fire and stop running, making schedules for the robot, maintaining and issuing scripts, redeploying different tasks of the robot, managing licenses and certificates, etc. These robots may also be controlled in a centralized manner, such as by unifying the distribution flow, unifying the setting of the start conditions, and the like.
Example two
In this embodiment, as shown in fig. 2, a video platform testing method is provided, which includes:
and step 210, acquiring terminal data of the tested terminal through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data.
In this embodiment, test information may be input to the terminal to be tested in advance, so that the terminal to be tested operates based on the test information, where the test information may be pre-recorded video information or real-time playing information.
In this embodiment, the robot module supports various types of terminals, such as a set top box, a mobile phone, a tablet computer, and a personal computer, and the terminal to be tested also includes an operation console of a third-party system, for example, an SDN gateway controller in a video service end-to-end system, and the robot adjusts an SDN control policy in a test process. In this embodiment, the robot module may be connected to the terminal to be tested in an infrared signal, bluetooth, USB, or voice manner, and the robot module supports various video applications, such as IPTV video, OTT internet video, mobile phone APP video, outdoor large screen, and has UI interface AI analysis capability and overall process monitoring capability. And the control of the tested terminal and the identification of the picture are realized through the robot module.
And step 220, collecting the picture information of the tested terminal.
In this embodiment, the robot module collects the picture information of the terminal to be tested, and sends the picture information of the terminal to be tested to the intelligent processing module.
And 230, analyzing the picture information to obtain analysis information, and detecting the detected terminal based on the analysis information.
The intelligent processing module can analyze the video picture of the terminal, so that comprehensive and deep analysis can be realized. The intelligent processing module analyzes the picture information, and comprises: OCR text recognition, natural voice processing, scene recognition, station logo recognition, Canton recognition, ambiguity recognition, plosive recognition, focus recognition, face recognition and icon recognition.
In this embodiment, on the basis of RPA (robot Process Automation), the video picture recognition and analysis capability is increased, and full-automatic testing of a video system is realized.
In one embodiment, the step of acquiring the terminal data of the terminal to be tested through the robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data includes: the method comprises the steps of obtaining at least one test case through a robot module, analyzing the test case to obtain a test rule, connecting a tested terminal according to the test rule, collecting terminal data of the tested terminal, processing the terminal data according to a preset rule, and outputting the processed terminal data.
In the embodiment, a plurality of test cases are stored in advance, each test case is used for testing a tested terminal, different test cases are set for different types of tested terminals, the content recorded by each test case comprises a test rule, data to be collected, test duration, test items and the like, according to the test case, the test rule of the corresponding tested terminal can be obtained, and the test data type and the test item of the tested terminal can be obtained, so that, the terminal to be tested can be connected according to the test rule, the terminal data of the terminal to be tested is collected according to the data type and the test item required by the test case, and processing the terminal data according to a preset processing rule, acquiring the picture information of the tested terminal according to the test item of the test case, and sending the picture information to the intelligent processing module.
In one embodiment, the step of acquiring terminal data of the terminal to be tested through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data includes: the method comprises the steps of collecting terminal data of a tested terminal through a robot module, screening the collected terminal data according to a preset screening rule to obtain screened terminal data, processing the screened terminal data according to a preset processing rule, and outputting the processed terminal data.
In this embodiment, before processing the terminal data of the terminal to be tested, the terminal data is screened, the screening rule of the terminal data is determined according to the test cases, and each test case corresponds to a preset screening rule, so that different screening is performed on the terminal data in different test cases to obtain the terminal data to be processed.
In one embodiment, the step of acquiring terminal data of the terminal to be tested through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data includes:
the method comprises the steps of collecting terminal data of a tested terminal through a robot module, processing the terminal data according to a preset processing rule to obtain the processed terminal data, and outputting the processed terminal data according to a preset template.
In this embodiment, the processed terminal data may be output as different templates according to the test requirements, for example, the preset template is in an excel format, so that the processed terminal data may be output as data in the excel format, and in other embodiments, data in templates in other formats may also be output.
It should be understood that, although the steps in the flowchart of fig. 2 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 described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
EXAMPLE III
As shown in fig. 3, in this embodiment, the video platform testing system includes a robot, a design module, a scheduling module, an AI module, and a monitoring module.
The robot may also be referred to as a robot module, and in fig. 3, the robot includes a robot 1 and a robot 2 … ….
As shown in fig. 4, the robot module supports various types of terminals, such as a set top box, a mobile phone, a PAD, a computer, and the like, and supports various types of video applications, such as an IPTV video, an OTT internet video, a mobile phone APP video, an outdoor large screen, and the like, and has UI interface AI analysis capability and monitoring capability of the whole process. The tested terminal layer can comprise a set top box, a PAD, a mobile phone, a computer and the like, and the control of the terminal and the recognition of pictures are realized through the robot. The tested terminal also comprises an operation platform of a third-party system, for example, an SDN gateway controller in a video service end-to-end system, and the SDN control strategy is adjusted in the test process by a robot.
As shown in fig. 5, the Interface types of the connection between the robot and the test terminal include infrared, bluetooth, USB, and voice, and the Interface for the robot to receive the input signal includes HDMI (High Definition Multimedia Interface) and VGA (Video Graphics Array).
The functions of the robot include:
and data acquisition, wherein the robot can simulate manual operation, automatically log in a heterogeneous system, and scan a UI (user interface) by relying on image recognition and an OCR (optical character recognition) technology so as to acquire required data.
And (3) data processing, wherein the robot can automatically screen data according to a preset rule and perform subsequent processing such as statistics, arrangement and the like according to the screened data.
And (3) uploading the data, wherein the robot can output the processed data to a file (such as excel) according to a standard template, or store the data according to a preset path, or further upload the data to other platforms according to rules.
And (4) information is returned, the robot compresses and codes the UI interface and returns the UI interface to the RPA system platform, and the AI module can carry out deeper analysis on the UI picture (such as picture content, picture quality and the like).
The AI module is used for analyzing video pictures more comprehensively and deeply and further enhancing the intelligent level of the RPA system. The relevant functions of the AI module are shown in fig. 6, including: OCR text recognition, natural voice processing, scene recognition, station logo recognition, stuck recognition, ambiguity recognition, plosive recognition, focus recognition, face recognition, icon recognition and the like.
In this embodiment, the monitoring module provides a visual monitoring process for observing and recording the real-time operating condition of each robot, and implementing a timely visual alarm on an abnormal result executed by the robot.
The design module utilizes the visual interface to design various automated processes. The product usability, expandability and editing efficiency are improved by arranging rich pre-constructed movable templates and integrating multiple programming languages. The visual design generally enables mouse drag-and-drop operation, zero code/low code editing.
The scheduling module is used for deployment and management of the robot. Including starting/stopping the operation of the robot, making a calendar for the robot, maintaining and publishing scripts, redeploying different tasks for the robot, managing licenses and credentials, etc. These robots may also be controlled in a centralized manner, such as by unifying the distribution flow, unifying the setting of the start conditions, and the like.
Compared with the prior art, the application has the advantages and effects.
1) Graphical process display
The test case (business process) is finally displayed in front of the designer in a graphical mode, the process content is clear, various branches are clear at a glance, and the risk of test omission is reduced.
2) Without the need for encoding
Anyone can design a test case by simple training.
The test case writing cost is low, the graphical test case can be generated only by clicking a mouse for a few steps, the whole process only needs a few minutes, and the graphical test case can be repeatedly reused.
3) Automated testing
The software robot automatically executes the test cases, and the robot can uninterruptedly execute various test cases, so that the test speed and efficiency are greatly improved. Particularly in the regression testing stage, the execution of a large number of repeated test cases can be carried out by the robot continuously for 24 hours, thereby greatly meeting the 'fast' requirement of the Internet industry and fully solving the contradiction between the fast iteration requirement of agile development and the test.
4) Cross-system collaborative testing
RPA is more concerned with the ability to cross-system, and is a more complex, multi-industry, multi-system, multi-environment automated test.
Test embodiment 1 IPTV set-top box test
The IPTV set top box test mainly comprises a set top box regression test, including set top box ROM upgrade, set top box delivery sampling inspection, set top box stability test and the like, wherein each test has fifty cases.
The IPTV set-top box test solution is shown in fig. 7A.
In this case, the robot 1 logs in to the IPTV platform to realize platform management; the robot 2 is connected to a network instrument (such as a network damage instrument and a protocol analyzer) and reads instrument data or controls the instrument; and the robot 3-5 is responsible for butting set-top boxes of different models, automatically dialing and testing the set-top boxes according to the test cases, analyzing the picture content, the picture quality and the picture matching degree output by the set-top boxes and judging whether the test is passed or not.
Test example 2 video service test scenario
As shown in fig. 7B, in this scheme, the robot 1 logs in the video service platform and modifies the relevant parameters, such as the encoding mode, encoding rate, etc. of the video stream during the testing process; the robot 2 is responsible for logging in a test instrument (such as a network damage instrument, a code stream analyzer and the like), reading instrument data or controlling the instrument; the robot is connected with a test instrument (such as a protocol simulator) in a butt mode, and the data of the instrument are read or the instrument is controlled; the robots 4 to 6 are responsible for docking different types of terminals, controlling the terminals, acquiring the audio and video content of the terminals, and analyzing the quality of the audio and video content, including the definition of pictures, picture delay and the like.
Test embodiment 3 SDN gateway function test
As shown in fig. 7C, in this case, the robot 1 is responsible for configuring the policy of the SDN gateway, and may allocate network resources for different terminal types, different services, or perform network acceleration; the robot 2 is responsible for logging in a test instrument (such as a network damage instrument, a code stream analyzer and the like), reading instrument data or controlling the instrument; the robots 3-5 are responsible for docking different types of terminals, controlling the terminals, accessing different service contents, observing whether a configuration strategy of the SDN gateway issues and the execution effect of the strategy, such as download rate, service response time delay, smoothness of ultra-high-definition videos and the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A video platform testing system, comprising: at least one robot module and an intelligent processing module,
each robot module is used for connecting a tested terminal, acquiring terminal data of the tested terminal, processing the terminal data according to a preset processing rule, outputting the processed terminal data, acquiring picture information of the tested terminal, and sending the picture information to the intelligent processing module;
the intelligent processing module is used for receiving the picture information, analyzing the picture information to obtain analysis information, and detecting the tested terminal based on the analysis information.
2. The video platform test system according to claim 1, wherein each of the robot modules is configured to obtain at least one test case, parse the test case to obtain a test rule, connect to a terminal under test according to the test rule, collect terminal data of the terminal under test, process the terminal data according to a preset processing rule, collect picture information of the terminal under test, and send the picture information to the intelligent processing module.
3. The video platform testing system of claim 1, further comprising a monitoring module;
the monitoring module is used for monitoring the running state of each robot module, and when the robot module is monitored to be abnormal, alarm information is output.
4. The video platform test system according to claim 1, wherein each of the robot modules is further configured to screen the acquired terminal data according to a preset screening rule to obtain screened terminal data, and process the screened terminal data according to the preset processing rule.
5. The video platform testing system of claim 1, wherein each of the robot modules is configured to process the terminal data according to a preset processing rule to obtain the processed terminal data, and output the processed terminal data according to a preset template.
6. The video platform testing system of claim 1, wherein the intelligent processing module parsing the picture information comprises: OCR text recognition, natural voice processing, scene recognition, station logo recognition, Canton recognition, ambiguity recognition, plosive recognition, focus recognition, face recognition and icon recognition.
7. The video platform testing system of claim 1, further comprising a scheduling module configured to control each of the robot modules to schedule each of the robot modules.
8. A video platform testing method is characterized by comprising the following steps:
acquiring terminal data of a tested terminal through a robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data;
collecting the picture information of the terminal to be tested;
and analyzing the picture information to obtain analysis information, and detecting the tested terminal based on the analysis information.
9. The video platform testing method according to claim 8, wherein the step of collecting the terminal data of the terminal to be tested through the robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data comprises:
the method comprises the steps of obtaining at least one test case through a robot module, analyzing the test case to obtain a test rule, connecting a tested terminal according to the test rule, collecting terminal data of the tested terminal, processing the terminal data according to a preset rule, and outputting the processed terminal data.
10. The video platform testing method according to claim 8, wherein the step of collecting the terminal data of the terminal to be tested through the robot module, processing the terminal data according to a preset rule, and outputting the processed terminal data comprises:
the method comprises the steps of collecting terminal data of a tested terminal through a robot module, screening the collected terminal data according to a preset screening rule to obtain screened terminal data, processing the screened terminal data according to a preset processing rule, and outputting the processed terminal data.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114978759A (en) * | 2022-06-25 | 2022-08-30 | 平安银行股份有限公司 | Test method, test system thereof, electronic device, and computer-readable storage medium |
| CN114978759B (en) * | 2022-06-25 | 2024-03-22 | 平安银行股份有限公司 | Test method and test system thereof, electronic device and computer readable storage medium |
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