CN111558953A - Automated test platform, method and storage medium - Google Patents
Automated test platform, method and storage medium Download PDFInfo
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- CN111558953A CN111558953A CN202010367993.1A CN202010367993A CN111558953A CN 111558953 A CN111558953 A CN 111558953A CN 202010367993 A CN202010367993 A CN 202010367993A CN 111558953 A CN111558953 A CN 111558953A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
- B25J19/0095—Means or methods for testing manipulators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Abstract
The invention discloses an automatic test platform, a method and a storage medium, wherein the platform is used for robot scheduling test and comprises the following components: the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring test data, and the test data comprises first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot; the processing module is used for carrying out parameterization processing on the first test data through the HTTP request of the meter and carrying out parameterization processing on the second test data through the mqtt plug-in of the meter so as to obtain a plurality of test cases; the execution module is used for executing each test case and obtaining an execution result; and the generating module is used for generating a test report according to the execution result. Therefore, the test case is obtained by executing the parameterization processing on the first test data corresponding to the task execution of the dispatching system and the second test data corresponding to the interactive communication between the dispatching system and the robot, so that the automatic test of the robot dispatching is realized, and the test efficiency and the test quality are improved.
Description
Technical Field
The present invention relates to the field of robot technology, and in particular, to an automated testing platform for robot scheduling testing, an automated testing method for robot scheduling testing, and a computer-readable storage medium.
Background
At present, in a robot scheduling platform of the related art, a robot scheduling is usually tested and result verified in a manual operation manner.
However, the related art has problems in that a great deal of labor cost is required to be invested in the process of performing the robot scheduling test due to the facing of a great number of regression tests and new function additions and the access of a great number of robots in the process of rapid iterative development, and the test efficiency and the test quality are low due to the manner of manual operation.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, a first objective of the present invention is to provide an automated testing platform, which is used for robot scheduling testing, and can implement automated testing of robot scheduling, and improve testing efficiency and testing quality.
The second purpose of the invention is to provide an automatic testing method, which is used for robot scheduling testing.
A third object of the invention is to propose a computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides an automated testing platform, where the platform is used for robot scheduling testing, and the platform includes: the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring test data, and the test data comprises first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot; the processing module is used for carrying out parameterization processing on the first test data through an HTTP request of the meter and carrying out parameterization processing on the second test data through an mqtt plug-in of the meter so as to obtain a plurality of test cases; the execution module is used for executing each test case and obtaining an execution result; and the generating module is used for generating a test report according to the execution result.
According to the automatic test platform provided by the embodiment of the invention, the test data is obtained through the obtaining module, wherein the test data comprises first test data executed corresponding to a task of the scheduling system and second test data interactively communicated with the robot corresponding to the scheduling system, the first test data is subjected to parameterization through an HTTP request of the jmeter through the processing module, the second test data is subjected to parameterization through an mqtt plug-in of the jmeter to obtain a plurality of test cases, each test case is executed through the execution module to obtain an execution result, and then a test report is generated through the generation module according to the execution result, so that the automatic test of the robot scheduling is realized, and the test efficiency and the test quality are improved.
In addition, the automated testing platform according to the embodiment of the present invention may further have the following additional technical features:
according to an embodiment of the present invention, the scenario of the test case in the test case set includes: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
According to an embodiment of the present invention, the processing module is specifically configured to: setting a plurality of case steps aiming at the scene of each test case; carrying out parameterization processing on the type and the ID of the robot through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in; carrying out parameterization processing on the type and the task ID of the scheduling system task through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in; starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plug-in, transmitting topic, subscribing topic and closing matt; based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, the execution of the robot task is realized through the HTTP request of the jmeter; carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through a regular expression and a built-in function of a jmeter; on the basis of the parameterized progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot, carrying out parameterization processing on the progress change of the robot in executing the task, the electric quantity change of the robot and the abnormal state change of the robot through an mqtt plug-in, and executing each test step; extracting msgid parameters of the information body issued or returned by the HTTP request through a regular expression, and realizing the association of each test step by combining timing time and cycle control setting; and setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
According to an embodiment of the present invention, the test script of each test case is in jmx format, the execution module executes each test case through a cmd command based on the test script in jmx format to obtain the execution result, and the generation module generates an HTML test report according to the execution result through an HTML TestRunner, where the HTML test report includes the execution condition of the scenario test case, a functional test result, and a performance index test result.
According to an embodiment of the invention, the execution module is further configured to: setting test frequency and test time according to the performance index and the version upgrading condition by a Jenkins tool; and executing each test case according to the test frequency and the test time.
According to an embodiment of the invention, the generating module is further configured to: obtaining an expected result of each test case; judging whether the execution result is consistent with the expected result; if the execution result is consistent with the expected result, generating an html test report comprising the number of test cases and execution success information; and if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and execution failure information.
In order to achieve the above object, a second aspect of the present invention provides an automated testing method, where the method is used for robot scheduling testing, and the method includes: acquiring test data, wherein the test data comprises first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot; carrying out parameterization processing on the first test data through an HTTP request of a jmeter, and carrying out parameterization processing on the second test data through an mqtt plug-in of the jmeter to obtain a plurality of test cases; executing each test case to obtain an execution result; and generating a test report according to the execution result.
According to the automatic test method provided by the embodiment of the invention, test data are obtained, wherein the test data comprise first test data corresponding to the task execution of the scheduling system and second test data corresponding to the interactive communication between the scheduling system and the robot, the first test data are subjected to parameterization through an HTTP request of the jmeter, the second test data are subjected to parameterization through an mqtt plug-in of the jmeter, a plurality of test cases are obtained, each test case is executed, an execution result is obtained, and further, a test report is generated according to the execution result, so that the automatic test of the robot scheduling is realized, and the test efficiency and the test quality are improved.
In addition, the automatic testing method according to the embodiment of the invention may further have the following additional technical features:
according to an embodiment of the present invention, the scenario of the test case in the test case set includes: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
According to an embodiment of the present invention, the parameterization processing on the first test data through the HTTP request of the meter and the parameterization processing on the second test data through the mqtt plug-in of the meter to obtain a plurality of test cases includes: setting a plurality of case steps aiming at the scene of each test case; carrying out parameterization processing on the type and the ID of the robot through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in; carrying out parameterization processing on the type and the task ID of the scheduling system task through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in; starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plug-in, transmitting topic, subscribing topic and closing matt; based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, the execution of the robot task is realized through the HTTP request of the jmeter; carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through a regular expression and a built-in function of a jmeter; on the basis of the parameterized progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot, carrying out parameterization processing on the progress change of the robot in executing the task, the electric quantity change of the robot and the abnormal state change of the robot through an mqtt plug-in, and executing each test step; extracting msgid parameters of the information body issued or returned by the HTTP request through a regular expression, and realizing the association of each test step by combining timing time and cycle control setting; and setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
According to an embodiment of the present invention, the test script of each test case is in jmx format, each test case is executed through a cmd command based on the test script in jmx format to obtain the execution result, and an html test report is generated according to the execution result through an html testrunner, where the html test report includes the scenario test case execution condition, the functional test result, and the performance index test result.
According to an embodiment of the present invention, the executing each test case and obtaining an execution result includes: setting test frequency and test time according to the performance index and the version upgrading condition by a Jenkins tool; and executing each test case according to the test frequency and the test time.
According to one embodiment of the invention, generating a test report according to the execution result comprises: obtaining an expected result of each test case; judging whether the execution result is consistent with the expected result; if the execution result is consistent with the expected result, generating an html test report comprising the number of test cases and execution success information; and if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and execution failure information.
To achieve the above object, a third aspect of the present invention proposes a computer-readable storage medium having stored thereon an automated testing method computer program for robot scheduling testing, which when executed by a processor implements the automated testing method as described above.
According to the computer readable storage medium of the embodiment of the invention, the automatic test of the robot scheduling is realized by executing the computer program of the automatic test method for the robot scheduling test, and the test efficiency and the test quality are improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a block diagram of an automated test platform according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating an automated testing method according to an embodiment of the present invention;
FIG. 3 is a flow diagram of an automated testing method according to one embodiment of the invention;
FIG. 4 is a flow diagram of an automated testing method according to one embodiment of the invention;
FIG. 5 is a flow chart illustrating an automated testing method according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
An automated test platform, method, and storage medium according to embodiments of the present invention are described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of an automated test platform according to an embodiment of the invention.
It should be noted that the platform is used for robot scheduling test, as shown in fig. 1, the platform 100 includes: the device comprises an acquisition module 1, a processing module 2, an execution module 3 and a generation module 4.
Specifically, the obtaining module 1 is configured to obtain test data, where the test data includes first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot; the processing module 2 is used for carrying out parameterization processing on the first test data through an HTTP request of the meter and carrying out parameterization processing on the second test data through an mqtt plug-in of the meter so as to obtain a plurality of test cases; the execution module 3 is used for executing each test case and obtaining an execution result; the generating module 4 is used for generating a test report according to the execution result.
Therefore, in the embodiment of the invention, the test case is obtained by executing the parameterization processing on the first test data corresponding to the task execution of the scheduling system and the second test data corresponding to the interactive communication between the scheduling system and the robot, so that the automatic test of the robot scheduling is realized, and the test efficiency and the test quality are improved.
Further, the scenario of the test case in the test case set may include: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
Therefore, in the embodiment of the invention, the robot can be subjected to dispatching test according to the scene of the test case in the test case set so as to obtain the test result corresponding to the scene of the test case.
Further, the processing module 2 is specifically configured to: a1, setting a plurality of case steps aiming at each test case scene; a2, parameterizing the type and ID of the robot through the HTTP request of the meter, the regular expression and the built-in function of the mqtt (Message queue Telemetry Transport protocol) plug-in; a3, carrying out parameterization processing on the type and task ID of a scheduling system task through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in; a4, starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plug-in, sending topic, subscribing to topic and closing the mqtt; a5, based on parameterized robot type, robot ID, type of scheduling system task and task ID, implementing the execution of robot task through HTTP request of jmeter; a6, carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through a regular expression and a built-in function of a jmeter; a7, carrying out parameterization processing on the progress change of the robot to execute the task, the electric quantity change of the robot and the abnormal state change of the robot through an mqtt plug-in based on the parameterized progress of the robot to execute the task, the electric quantity of the robot and the abnormal state of the robot, and executing each test step; a8, extracting msgid parameters of information bodies issued or returned by HTTP requests through regular expressions, and realizing the association of each test step by combining timing time and cycle control setting; and A9, setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
Therefore, in the embodiment of the invention, the first test data is parameterized by the HTTP request of the jmeter, and the second test data is parameterized by the mqtt plug-in of the jmeter, so as to obtain a plurality of test cases.
Furthermore, the test script of each test case is in the jmx format, the execution module 3 executes each test case through a cmd command based on the test script in the jmx format to obtain an execution result, and the generation module 4 generates an HTML test report according to the execution result through an HTML TestRunner, wherein the HTML test report includes a scenario test case execution condition, a functional test result and a performance index test result.
Therefore, in the embodiment of the invention, the test script based on the jmx format executes each test case through the cmd command to obtain the execution result, and generates the html test report according to the execution result through the HTMLTestRunner, wherein the html test report comprises the execution condition of the scenario test case, the functional test result and the performance index test result, which is beneficial for testers to further perfect and optimize the test cases.
Further, the execution module 3 is further configured to: b1, setting a test frequency and a test time according to the performance index and the version upgrading condition through a Jenkins tool; and B2, executing each test case according to the test frequency and the test time.
Therefore, in the embodiment of the invention, the test frequency and the test time are set by the Jenkins tool according to the performance index and the version upgrading condition, and each test case is executed according to the test frequency and the test time, so that the test efficiency and the working efficiency of the robot are improved.
Further, the generating module 4 is further configured to: c1, obtaining the expected result of each test case; c2, judging whether the execution result is consistent with the expected result; c3, if the execution result is consistent with the expected result, generating an html test report comprising the number of the test cases and the execution success information; and C4, if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and the execution failure information.
Therefore, in the embodiment of the invention, if the execution result is consistent with the expected result, the html test report comprising the number of the test cases and the execution success information is generated, and if the execution result is inconsistent with the expected result, the html test report comprising the number of the test cases and the execution failure information is generated, so that the test condition of each case can be intuitively known by a tester, the test cases can be conveniently managed and checked, and the test cases can be perfected and optimized in a targeted manner.
It should be noted that the automated testing platform according to the embodiment of the present invention corresponds to the specific implementation manners of the automated testing method according to the embodiment of the present invention one to one, and the automated testing method according to the embodiment of the present invention will be described below, which is not described herein again.
In summary, according to the automated testing platform of the embodiment of the present invention, the obtaining module obtains the testing data, where the testing data includes a first testing data corresponding to the task execution of the scheduling system and a second testing data corresponding to the interactive communication between the scheduling system and the robot, the processing module parameterizes the first testing data through the HTTP request of the jmeter, and parameterizes the second testing data through the mqtt plug-in of the jmeter, so as to obtain a plurality of testing cases, the execution module executes each testing case, and obtains an execution result, and the generating module generates the testing report according to the execution result, so as to implement the automated testing of the robot scheduling, and improve the testing efficiency and the testing quality.
The automated testing method of the embodiment of the invention is described below with reference to fig. 2-5.
Fig. 2 is a flowchart illustrating an automated testing method according to an embodiment of the present invention.
It should be noted that, the method is used for robot scheduling test, as shown in fig. 2, the method includes:
s101, test data are obtained, wherein the test data comprise first test data corresponding to task execution of a dispatching system and second test data corresponding to interactive communication between the dispatching system and the robot.
It should be noted that the first test data may be used to implement task execution of the dispatching system, and the second test data may be used to implement interactive communication between the dispatching system and the robot.
S102, parameterizing the first test data through the HTTP request of the meter, and parameterizing the second test data through the mqtt plug-in of the meter to obtain a plurality of test cases.
It should be noted that a plurality of test cases may correspond to one test scenario, and may also correspond to a plurality of test scenarios, where one test scenario may correspond to one thread group.
Specifically, the scenario of the test case in the test case set may include: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
S103, executing each test case and obtaining an execution result.
And S104, generating a test report according to the execution result.
Therefore, in the embodiment of the invention, the test case is obtained by executing the parameterization processing on the first test data corresponding to the task execution of the scheduling system and the second test data corresponding to the interactive communication between the scheduling system and the robot, so that the automatic test of the robot scheduling is realized, and the test efficiency and the test quality are improved.
Further, the scenario of the test case in the test case set includes: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
Further, as shown in fig. 3, parameterizing the first test data by the HTTP request of the meter, and parameterizing the second test data by the mqtt plug-in of the meter to obtain a plurality of test cases includes:
s201, setting a plurality of case steps aiming at the scene of each test case.
That is, multiple use case steps can be set according to at least one test case scene in the processes of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, job task progress, robot electric quantity monitoring and equipment/task abnormity alarming and solving.
Specifically, taking a test case scenario for sending a scheduling task and monitoring the electric quantity of the robot as an example, the multiple use case steps may include: step 1) acquiring an initial state of the robot, such as the current electric quantity and the initial position of the robot before the robot executes a scheduling task; step 2) sending a scheduling task, such as controlling the robot to move to a position A; step 3) feeding back task progress, such as whether the robot reaches the position A; step 4), feeding back the state of the robot, such as the current electric quantity of the robot; and 5) finishing the scheduling task, such as controlling the robot to return to the initial position.
It should be understood that the use case step settings of other test case scenarios may refer to the use case step settings of the test case scenario, and are not described herein again.
S202, parameterizing the type and the ID of the robot through the HTTP request of the meter, the regular expression and the built-in function of the mqtt plug-in.
Specifically, parameterization processing is carried out on the robot type and the robot ID, namely, the task execution of a scheduling system is realized through an HTTP request of a jmeter, and relevant parameters of the robot type and the robot ID are extracted from communication data fed back by the robot through a regular expression and/or a built-in function of an mqtt plug-in.
Alternatively, the robot type may include, but is not limited to, a painting robot and a brick-laying robot, and in an embodiment of the present invention, the robot type may be set accordingly according to the robot type, and the corresponding robot may be determined according to the robot ID.
S203, parameterizing the type and the task ID of the scheduling system task through the HTTP request of the jmeter, the regular expression and the built-in function of the mqtt plug-in.
Specifically, parameterization processing is carried out on the type and the task ID of the scheduling system task, namely the scheduling system task is executed through an HTTP request of a jmeter, and relevant parameters of the type and the task ID of the scheduling system task are extracted from communication data fed back by the robot through a regular expression and/or a built-in function of an mqtt plug-in.
Optionally, the type of the scheduling system task may include, but is not limited to, a paint spraying task and a brick laying task, and in an embodiment of the present invention, the type of the scheduling system task may be set according to a task target of the robot, and the corresponding scheduling system task may be determined according to the task ID.
And S204, starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plugin, transmitting topic, subscribing topic and closing the mqtt.
Specifically, starting the robot according to the parameterized robot ID, namely determining the corresponding robot according to the parameterized robot ID, realizing interactive communication between the scheduling system and the corresponding robot through the connection of mqtt in an mqtt plugin, controlling the robot to start after realizing the communication interaction between the scheduling system and the corresponding robot by sending topic and subscribing topic, and further closing the mqtt and disconnecting the interactive communication between the scheduling system and the corresponding robot.
And S205, based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, executing the robot task through the HTTP request of the jmeter.
Specifically, based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, the robot currently required to be controlled and the scheduling system task that the robot needs to execute can be determined, and further, the execution of the robot task is realized by the HTTP request of the jmeter, for example, if the parameterized robot type is a paint spraying type robot, the robot ID is 01, the type of the scheduling system task is a paint spraying task, and the task ID is 01, the paint spraying type robot with the ID of 01 is controlled to execute the paint spraying task with the task ID of 01 by the HTTP request of the jmeter.
And S206, carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through the regular expression and the built-in function of the jmeter.
Specifically, parameterization processing is carried out on the progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot, namely the progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot are extracted from communication data fed back by the robot through a regular expression and/or a jmeter.
And S207, carrying out parameterization processing on the progress change of the robot to execute the task, the electric quantity change of the robot and the abnormal state change of the robot through the mqtt plug-in based on the parameterized progress of the robot to execute the task, the electric quantity of the robot and the abnormal state of the robot, and realizing parameterization of each test step.
Specifically, parameterization processing is carried out on the progress change of the robot for executing the task, the electric quantity change of the robot and the abnormal state change of the robot, namely interactive communication between a dispatching system and the robot is achieved through an mqtt plug-in of a jmeter, and the progress change of the robot for executing the task, the electric quantity change of the robot and the abnormal state change of the robot are extracted from communication data fed back by the robot based on the parameterized progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot.
Optionally, the progress change of the robot in executing the task and the electric quantity change of the robot may be parameterized by percentages, different progress changes or electric quantity changes correspond to different percentage values, the abnormal state change of the robot may be parameterized by codes, and different abnormal state changes correspond to different codes.
And S208, extracting the msgid parameter of the information body issued or returned by the HTTP request through the regular expression, and realizing the association of each test step by combining timing time and cycle control setting.
It can be understood that, by extracting the msgid parameter of the information body, in combination with the timing time and the cycle control setting, the test steps can be associated to form a scene for each test case, where the msgid parameter is the information body number.
S209, setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
It can be understood that after a scenario of multiple test cases is formed based on the associated test steps, the multiple test cases can be obtained by setting the thread number and the cycle number, so as to perform the dispatching test of the robot.
It is understood that steps S201-S209 of the automated testing method according to the embodiment of the present invention may correspond to steps a1-a9 of the automated testing platform according to the embodiment of the present invention.
Therefore, in the embodiment of the invention, the first test data is parameterized by the HTTP request of the jmeter, and the second test data is parameterized by the mqtt plug-in of the jmeter, so as to obtain a plurality of test cases.
Furthermore, the test script of each test case is in the jmx format, each test case is executed through a cmd command based on the test script in the jmx format to obtain an execution result, and an HTML test report is generated according to the execution result through an HTML TestRunner, wherein the HTML test report includes a scenario test case execution condition, a functional test result and a performance index test result.
Specifically, the jmx script may include a primary catalog jmetertteplan, a secondary catalog hashTree, a tertiary catalog TestPlan, hashTree (configuration of test plan), WorkBench, hashTree (configuration under WorkBench).
It should be noted that the scenario test case execution condition in the html test report may include the number of test cases and the test results of the test cases corresponding to the number, and the execution result of each execution step of the test case may be monitored by setting a function monitor and a performance monitor to obtain the function test result and the performance index test result in the html test report, where the function monitor may monitor the function test result of the scenario test case by looking at the result tree, the aggregation report, and other monitors, and a server agent plugin may be installed on the linux server to monitor the performance index of the server processing robot scheduling interface by configuring the performance monitor, such as a jp @ gc-perfmons Metrics Collector, so as to implement monitoring of the function result and monitoring of the performance index of the test case.
Therefore, in the embodiment of the invention, the test script based on the jmx format executes each test case through the cmd command to obtain the execution result, and generates the HTML test report according to the execution result through the HTML TestRunner, wherein the HTML test report comprises the execution condition of the scenario test case, the functional test result and the performance index test result, which is beneficial for testers to further perfect and optimize the test cases.
Further, as shown in fig. 4, executing each test case and obtaining an execution result includes:
s301, setting test frequency and test time according to the performance index and the version upgrading condition through a Jenkins tool.
Particularly, carry out corresponding setting through Jenkins instrument to test frequency and test time, can realize the repetition test of robot scheduling to test time can set up to the non-operating time of robot, thereby, promote the efficiency of software testing and the work efficiency of robot.
And S302, executing each test case according to the test frequency and the test time.
It should be understood that the test time corresponds to a time period for executing the test case, and the test frequency corresponds to the number of times the test case is executed in the time period for executing the test case.
It is understood that steps S301-S302 of the automated testing method according to the embodiment of the present invention may correspond to steps B1-B2 of the automated testing platform according to the embodiment of the present invention.
Therefore, in the embodiment of the invention, the test frequency and the test time are set by the Jenkins tool according to the performance index and the version upgrading condition, and each test case is executed according to the test frequency and the test time, so that the test efficiency and the working efficiency of the robot are improved.
Further, as shown in fig. 5, generating a test report according to the execution result includes:
s401, obtaining an expected result of each test case.
Optionally, after obtaining a plurality of test cases, obtaining an expected result of each test case in advance, taking the scene of the test case as an example that the painting robot with the robot ID 01 reaches the working point a and executes the painting task with the task ID 01, the expected result of the corresponding test case should be that the painting robot with the robot ID 01 successfully reaches the working point a and successfully executes the painting task with the task ID 01.
S402, judging whether the execution result is consistent with the expected result.
It should be understood that whether the execution result is consistent with the expected result, i.e., whether the robot successfully executes the test case is determined.
And S403, if the execution result is consistent with the expected result, generating an html test report comprising the number of the test cases and the execution success information.
That is to say, when the execution result is consistent with the expected result, the robot can be considered to successfully execute the test cases, and the html test report including the number of the test cases and the execution success information is generated, so that the test condition of each case can be intuitively known by a tester, and the test cases can be conveniently managed and checked.
S404, if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and the execution failure information.
That is to say, when the execution result is inconsistent with the expected result, the robot can be considered to unsuccessfully execute the test case, and an html test report including the number of the test cases and the execution failure information is generated, so that the test condition of each case can be intuitively known by a tester, and the test case can be optimized and perfected conveniently.
It is understood that steps S401 to S404 of the automated testing method according to the embodiment of the present invention may correspond to steps C1 to C4 of the automated testing platform according to the embodiment of the present invention.
Therefore, in the embodiment of the invention, if the execution result is consistent with the expected result, the html test report comprising the number of the test cases and the execution success information is generated, and if the execution result is inconsistent with the expected result, the html test report comprising the number of the test cases and the execution failure information is generated, so that the test condition of each case can be intuitively known by a tester, the test cases can be conveniently managed and checked, and the test cases can be perfected and optimized in a targeted manner.
In summary, according to the automated testing method of the embodiment of the present invention, the test data is obtained, where the test data includes first test data executed corresponding to the task of the scheduling system and second test data interactively communicating with the robot corresponding to the scheduling system, the first test data is parameterized by an HTTP request of the jmeter, and the second test data is parameterized by an mqtt plug-in of the jmeter, so as to obtain a plurality of test cases, execute each test case, obtain an execution result, and further generate a test report according to the execution result, so as to implement automated testing of robot scheduling, and improve testing efficiency and testing quality.
Further, an embodiment of the present invention also provides a computer-readable storage medium, on which an automated testing method computer program for robot scheduling testing is stored, which when executed by a processor implements the automated testing method of any one of the above.
In summary, according to the computer-readable storage medium of the embodiment of the present invention, the automated testing method for robot scheduling testing is executed to implement automated testing of robot scheduling, so as to improve testing efficiency and testing quality.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (13)
1. An automated testing platform, the platform for robotic dispatch testing, the platform comprising:
the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring test data, and the test data comprises first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot;
the processing module is used for carrying out parameterization processing on the first test data through an HTTP request of the meter and carrying out parameterization processing on the second test data through an mqtt plug-in of the meter so as to obtain a plurality of test cases;
the execution module is used for executing each test case and obtaining an execution result;
and the generating module is used for generating a test report according to the execution result.
2. The test platform of claim 1, wherein the scenarios of the set of test cases comprise: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
3. The test platform of claim 2, wherein the processing module is specifically configured to:
setting a plurality of case steps aiming at the scene of each test case;
carrying out parameterization processing on the type and the ID of the robot through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in;
carrying out parameterization processing on the type and the task ID of the scheduling system task through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in;
starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plug-in, transmitting topic, subscribing topic and closing matt;
based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, the execution of the robot task is realized through the HTTP request of the jmeter;
carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through a regular expression and a built-in function of a jmeter;
on the basis of the parameterized progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot, carrying out parameterization processing on the progress change of the robot in executing the task, the electric quantity change of the robot and the abnormal state change of the robot through an mqtt plug-in, and executing each test step;
extracting msgid parameters of the information body issued or returned by the HTTP request through a regular expression, and realizing the association of each test step by combining timing time and cycle control setting;
and setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
4. The testing platform of claim 1, wherein the test script of each of the test cases is in jmx format, the execution module executes each of the test cases through a cmd command based on the test script in jmx format to obtain the execution result, and the generation module generates an HTML test report according to the execution result through an HTML TestRunner, wherein the HTML test report includes the scenario test case execution condition, a functional test result, and a performance index test result.
5. The test platform of claim 1, wherein the execution module is further to:
setting test frequency and test time according to the performance index and the version upgrading condition by a Jenkins tool;
and executing each test case according to the test frequency and the test time.
6. The test platform of claim 5, wherein the generation module is further to:
obtaining an expected result of each test case;
judging whether the execution result is consistent with the expected result;
if the execution result is consistent with the expected result, generating an html test report comprising the number of test cases and execution success information;
and if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and execution failure information.
7. An automated testing method, for use in robotic dispatch testing, the method comprising:
acquiring test data, wherein the test data comprises first test data corresponding to task execution of a scheduling system and second test data corresponding to interactive communication between the scheduling system and a robot;
carrying out parameterization processing on the first test data through an HTTP request of a jmeter, and carrying out parameterization processing on the second test data through an mqtt plug-in of the jmeter to obtain a plurality of test cases;
executing each test case to obtain an execution result;
and generating a test report according to the execution result.
8. The testing method of claim 7, wherein the scenario of the test case in the set of test cases comprises: the method comprises the following steps of sending a scheduling task, sending a machine behavior control instruction, sending machine configuration parameter setting, controlling the robot to be powered on/off, collecting a real-time running state, monitoring the progress of a job task and the electric quantity of the robot, and alarming and solving equipment/task abnormity.
9. The method for testing according to claim 8, wherein the parameterization processing is performed on the first test data through an HTTP request of a meter, and the parameterization processing is performed on the second test data through an mqtt plug-in of the meter to obtain a plurality of test cases, and comprises the following steps:
setting a plurality of case steps aiming at the scene of each test case;
carrying out parameterization processing on the type and the ID of the robot through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in;
carrying out parameterization processing on the type and the task ID of the scheduling system task through an HTTP request of a jmeter, a regular expression and a built-in function of an mqtt plug-in;
starting the robot according to the parameterized robot ID through connection of the mqtt in the mqtt plug-in, transmitting topic, subscribing topic and closing matt;
based on the parameterized robot type, the robot ID, the type of the scheduling system task and the task ID, the execution of the robot task is realized through the HTTP request of the jmeter;
carrying out parameterization processing on the progress of the robot for executing the task, the electric quantity of the robot and the abnormal state of the robot through a regular expression and a built-in function of a jmeter;
on the basis of the parameterized progress of the robot in executing the task, the electric quantity of the robot and the abnormal state of the robot, carrying out parameterization processing on the progress change of the robot in executing the task, the electric quantity change of the robot and the abnormal state change of the robot through an mqtt plug-in, and executing each test step;
extracting msgid parameters of the information body issued or returned by the HTTP request through a regular expression, and realizing the association of each test step by combining timing time and cycle control setting;
and setting thread number and cycle number based on the associated test steps to obtain a plurality of test cases.
10. The testing method of claim 7, wherein the testing script of each of the testing cases is in jmx format, each of the testing cases is executed by cmd command based on the testing script in jmx format to obtain the execution result, and an HTML test report is generated according to the execution result through HTML TestRunner, wherein the HTML test report includes the scenario testing case execution condition, the functional test result, and the performance index test result.
11. The testing method of claim 7, wherein said executing each of said test cases and obtaining an execution result comprises:
setting test frequency and test time according to the performance index and the version upgrading condition by a Jenkins tool;
and executing each test case according to the test frequency and the test time.
12. The testing method of claim 11, wherein generating a test report based on the execution results comprises:
obtaining an expected result of each test case;
judging whether the execution result is consistent with the expected result;
if the execution result is consistent with the expected result, generating an html test report comprising the number of test cases and execution success information;
and if the execution result is inconsistent with the expected result, generating an html test report comprising the number of the test cases and execution failure information.
13. A computer-readable storage medium, on which an automated testing method computer program for robot dispatch testing is stored which, when executed by a processor, implements an automated testing method according to any one of claims 7-12.
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