WO2020186781A1

WO2020186781A1 - Test code handover control method and apparatus, electronic device, and computer non-volatile readable storage medium

Info

Publication number: WO2020186781A1
Application number: PCT/CN2019/117654
Authority: WO
Inventors: 陈晰亮
Original assignee: 平安普惠企业管理有限公司
Priority date: 2019-03-18
Filing date: 2019-11-12
Publication date: 2020-09-24
Also published as: CN109902023B; CN109902023A

Abstract

A test code handover control method and apparatus, the method comprising: when a handover instruction is detected, determining a node processing task quantity according to node load condition information in node information; determining whether the node processing task quantity is lower than a preset node processing task quantity (S203); obtaining the node processing rate according to node processing capability information when determined that the node task quantity is higher than or equal to the preset node processing task quantity (S204); on the basis of the node processing rate and the node task quantity, generating a handover time node that matches a test code (S205); and when determined that the node task quantity is lower than the preset node processing task quantity, determining the current moment to be a handover time node that matches the test code (S206). The described method is based on software testing technology, and test code handover is performed at the proper moment, thereby solving the problem of the duration of handover being too long due to a test code being handed over to a test environment at an improper moment.

Description

Test code transfer control method and device, electronic equipment, computer non-volatile readable storage medium

Technical field

This application claims the priority of the Chinese patent application 201910203983.1 filed on March 18, 2019 with the application name "A test code transfer control method and device", the entire content of which is incorporated herein by reference.

This application relates to the technical field of software testing, and in particular to a test code transfer control method and device, electronic equipment, and computer non-volatile readable storage media.

Background technique

At present, system testing has been widely applied to business systems in different fields. System testing of business systems can promptly discover and solve business system problems, thereby improving the reliability of business system operation.

When testing a business system group covering multiple business systems, the test code corresponding to the business system that needs to be tested is usually transferred to the test environment. In practice, the inventor of this application realizes that in the process of transferring the test code corresponding to the business system to the test environment, improper timing of the transfer often occurs. For example, when the test environment is congested, the transfer takes a long time. A situation that exceeds the normal handover time occurs.

technical problem

In summary, the defect of the prior art is that the timing of the test code transfer to the test environment is not good, resulting in an excessively long transfer time.

Technical solutions

In order to solve the above technical problems, this application provides a test code transfer control method and device.

Among them, the technical solutions adopted in this application are:

In one aspect, a test code handover control method includes: when a handover instruction for instructing the test code to be handed over to a test environment is detected, acquiring node information in the test environment, where the node information includes at least a node Load status information and node processing capability information; determine the node processing task volume according to the node load status information; determine whether the node processing task volume is lower than the preset node processing task volume; when it is determined that the node task volume is higher than or When equal to the preset node processing task amount, obtain the node processing rate according to the node processing capability information; generate a handover time node matching the test code based on the node processing rate and the node task amount; When it is determined that the node task amount is lower than the preset node processing task amount, the current moment is determined as the handover time node that matches the test code.

On the other hand, a test code handover control device includes: a first obtaining unit configured to obtain node information in the test environment when a handover instruction for instructing to hand over the test code to the test environment is detected The node information includes at least node load status information and node processing capability information; a first determining unit is used to determine the node processing task amount according to the node load status information; the judgment unit is used to determine whether the node processing task amount is Lower than a preset node processing task amount; a second obtaining unit, configured to obtain a node processing rate according to the node processing capability information when it is determined that the node task amount is higher than or equal to the preset node processing task amount; The generating unit is configured to generate a handover time node matching the test code based on the processing rate of the node and the task amount of the node; the second determining unit is used to determine that the task amount of the node is lower than the total When the preset node processes the task amount, the current moment is determined as the handover time node that matches the test code.

On the other hand, an electronic device includes a processor and a memory, and computer-readable instructions are stored on the memory, and the computer-readable instructions implement the test code transfer control method as described above when executed by the processor.

On the other hand, a computer non-volatile readable storage medium has a computer program stored thereon, and when the computer program is executed by a processor, the test code transfer control method as described above is realized.

Beneficial effect

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

Under this method, based on software testing technology, when a handover instruction that instructs the handover of the test code is detected, the timing of the handover of the test code can be determined according to the node information in the test environment, so that the handover of the node tasks in the test environment is not high Test code, reduce the handover time, and solve the problem that the handover time is too long due to the poor timing of the test code handover to the test environment.

Description of the drawings

The drawings herein are incorporated into the specification and constitute a part of the specification, show embodiments that conform to the application, and are used together with the specification to explain the principle of the application.

Fig. 1 is a schematic diagram showing a test code handover control device according to an exemplary embodiment;

Fig. 2 is a flow chart showing a method for controlling test code handover according to an exemplary embodiment;

Fig. 3 is a flowchart showing another test code handover control method according to an exemplary embodiment;

Fig. 4 is a block diagram showing a test code handover control device according to an exemplary embodiment;

Fig. 5 is a block diagram showing another test code handover control device according to an exemplary embodiment.

Embodiments of the invention

Here, an exemplary embodiment will be described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. On the contrary, they are only examples of devices and methods consistent with some aspects of the application as detailed in the appended claims.

Fig. 1 is a schematic diagram showing a test code handover control device according to an exemplary embodiment. The apparatus 100 may be the aforementioned portable mobile device. As shown in FIG. 1, the device 100 may include one or more of the following components: a processing component 102, a memory 104, a power supply component 106, a multimedia component 108, an audio component 110, a sensor component 114, and a communication component 116.

The processing component 102 generally controls the overall operations of the device 100, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 102 may include one or more processors 118 to execute instructions to complete all or part of the steps of the following method. In addition, the processing component 102 may include one or more modules to facilitate the interaction between the processing component 102 and other components. For example, the processing component 102 may include a multimedia module to facilitate the interaction between the multimedia component 108 and the processing component 102.

The memory 104 is configured to store various types of data to support operations in the device 100. Examples of these data include instructions for any application or method operating on the device 100. The memory 104 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (Static Random Access Memory). Access Memory, SRAM for short), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (EPROM) Red-Only Memory, PROM for short), Read-Only Memory (ROM for short), magnetic memory, flash memory, magnetic disk or optical disk. The memory 104 also stores one or more modules, and the one or more modules are configured to be executed by the one or more processors 118 to complete all or part of the steps in the method shown below.

The power supply component 106 provides power to various components of the device 100. The power supply component 106 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 100.

The multimedia component 108 includes a screen that provides an output interface between the device 100 and the user. In some embodiments, the screen may include a liquid crystal display (Liquid Crystal Display, referred to as LCD) and touch panel. If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure related to the touch or slide operation. The screen may also include an organic electroluminescence display (Organic Light Emitting Display, OLED for short).

The audio component 110 is configured to output and/or input audio signals. For example, the audio component 110 includes a microphone (Microphone, MIC for short). When the device 100 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 104 or sent via the communication component 116. In some embodiments, the audio component 110 further includes a speaker for outputting audio signals.

The sensor component 114 includes one or more sensors for providing the device 100 with various aspects of state evaluation. For example, the sensor component 114 can detect the open/close state of the device 100 and the relative positioning of components. The sensor component 114 can also detect the position change of the device 100 or a component of the device 100 and the temperature change of the device 100. In some embodiments, the sensor component 114 may also include a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 116 is configured to facilitate wired or wireless communication between the apparatus 100 and other devices. The device 100 can access a wireless network based on a communication standard, such as WiFi (Wireless-Fidelity, wireless fidelity). In an exemplary embodiment, the communication component 116 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 116 further includes a near field communication (Near Field Communication, NFC for short) module for facilitating short-range communication. For example, the NFC module can be based on radio frequency identification (Radio Frequency Identification, referred to as RFID) technology, infrared data association (Infrared Data Association, referred to as IrDA) technology, ultra-wideband (Ultra Wideband, referred to as UWB) technology, Bluetooth technology and other technologies.

In an exemplary embodiment, the apparatus 100 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuits). Specific Integrated Circuit, referred to as ASIC), digital signal processor, digital signal processing equipment, programmable logic device, field programmable gate array, controller, microcontroller, microprocessor or other electronic components to implement the following method.

Fig. 2 is a flow chart showing a method for controlling test code handover according to an exemplary embodiment. As shown in Figure 2, this method includes the following steps:

Step 201: When a handover instruction for instructing the handover of the test code to the test environment is detected, obtain node information in the test environment. The node information includes at least node load status information and node processing capability information.

In the embodiment of the present application, the test environment includes several nodes, and each node can process corresponding test tasks. Moreover, the node information of each node may include, but is not limited to, node processing capability information and node load status information. The processing capability information can indicate the number of tasks that the node can process, and the node load status information can indicate the number of tasks that the node is currently processing.

Step 202: Determine the node processing task amount according to the node load status information.

As an optional implementation manner, determining the node processing task amount according to the node load status information may include:

... Obtain the amount of tasks being processed by each node according to the node load status information;

Calculate the average value of the processing tasks of each node, and determine the average value as the node processing task amount.

In the embodiment of the present application, the node load status information includes the processing task amount of each node, and the average value of the processing task amount of each node is used as the node processing task amount to reflect the current overall node processing task amount of all nodes Circumstances, enhance the grasp of the overall node processing task volume.

By implementing this optional implementation method, the average value of the amount of tasks being processed can be calculated according to the amount of tasks being processed by each node, and the average value can be determined as the amount of node processing tasks, so as to obtain a comprehensive evaluation of the node's processing tasks. The task volume index is used to determine the time node of the test code handover, which is more reliable.

Step 203: Determine whether the node processing task amount is lower than the preset node processing task amount, if yes, execute step 206, if not, execute step 204 to step 205.

In the embodiment of the present application, the preset node processing task amount may be the preset maximum node processing task amount under the normal working condition of the test environment. If the node processing task amount is lower than the preset node processing task amount, it means that the node processing task amount at the current moment is within the normal working node processing task amount of the test environment. At this time, the current moment can be determined as the handover that matches the test code time frame. If the node processing task amount is higher than or equal to the preset node processing task amount, it means that the node processing task amount at the current moment is not within the normal working node processing task amount range of the test environment. At this time, it can be further based on the node processing rate and node task amount. Quantities determine the handover time node.

Step 204: Obtain the node processing rate according to the node processing capability information.

In the embodiment of the present application, the node processing capability information includes at least the processing rate of each node. The average value can be calculated according to the processing rate of each node and used as the node processing rate. The node processing rate is used to reflect the current node processing rate. The speed information of the data.

As an optional implementation manner, acquiring the node processing rate according to the node processing capability information may include: acquiring the node processing rate of each node according to the node processing capability information; calculating the average value of the node processing rate of each node, and calculating the average The value is determined as the node processing rate.

By implementing this optional implementation method, the average value of the node processing rate can be calculated according to the node processing rate of each node, and the average value is determined as the node processing rate, thereby obtaining a comprehensive evaluation of the node processing rate Indicators, based on which to determine the time node of the test code handover, are more reliable.

Step 205: Generate a handover time node matching the test code based on the node processing rate and the node task amount.

As an optional implementation manner, based on the node processing rate and the node task volume, generating the handover time node that matches the test code may include: calculating the predicted time node phase based on the node task volume, the node processing rate, and a preset prediction formula. The future processing task volume of the matched node, where the preset prediction formula is x=av×t; where a represents the node task volume, v represents the node processing rate, t represents the predicted time node, and x represents the future of the node matched by the predicted time node Processing task volume; correspondingly store the future processing task volume of the node matching the predicted time node and the predicted time node, and obtain the node timing forecast total table; select the node's future processing task amount in the node timing forecast total table to be less than the preset node processing task amount The target node handles the task amount; the target predicted time node that matches the target node's processing task amount is determined as the handover time node that matches the test code.

In the embodiment of the present application, the unit of the node processing rate v can be specified as the number of tasks/second, the unit of the predicted time node t can be seconds, and the predicted time node t can indicate the passage of t from the current moment, for example, when the predicted time node When t is 30s, it means the time after 30 seconds. The preset prediction formula can be used to calculate the number of future processing tasks of the node corresponding to a certain time in the future (1s, 2s, 3s, etc.) in the future.

By implementing this optional implementation, it is possible to calculate the future processing tasks of a number of predicted time nodes that match each predicted time node, obtain the node timing forecast summary table, and determine the node future processing from the node timing forecast summary table The task volume is less than the target predicted time node for the task volume of the preset node, so that the test code transfer is performed as early as possible under the premise of the node task volume is small, and the accuracy of selecting the test code transfer timing is improved.

Step 206: Determine the current moment as the handover time node that matches the test code.

Under the above method, based on the software testing technology, when a handover instruction indicating the handover of the test code is detected, the timing of the handover of the test code can be determined according to the node information in the test environment, so as to handover when the amount of node tasks in the test environment is not high Test code, reduce the handover time, and solve the problem that the handover time is too long due to the poor timing of the test code handover to the test environment.

Fig. 3 is a flowchart showing another test code handover control method according to another exemplary embodiment. As shown in Figure 3, this method includes the following steps:

Step 301: When a handover instruction for instructing the handover of the test code to the test environment is detected, obtain node information in the test environment. The node information includes at least node load status information and node processing capability information.

Step 302: Determine the node processing task amount according to the node load status information.

In step 303, it is determined whether the processing task amount of the node is lower than the preset node processing task amount, if yes, execute step 304 to step 305, if not, execute step 306 to step 307.

Step 304: Obtain the node processing rate according to the node processing capability information.

Step 305: Generate a handover time node matching the test code based on the node processing rate and the node task volume.

Step 306: Obtain distribution information of processing tasks of nodes in the test environment.

In the embodiment of the present application, the node processing task amount distribution information may include the node processing task amount matched by each node in the test environment.

Step 307: Determine whether the node processing task amount distribution information matches the deviation distribution information, if yes, end this process, if not, execute step 308.

In the embodiment of the present application, the deviation distribution information includes at least a preset low-load node deviation ratio and a preset high-load node deviation ratio. The preset low-load node deviation ratio is the maximum ratio of the preset low-load node to the total number of nodes. , The preset high-load node deviation ratio is the maximum ratio of the preset high-load node to the total number of nodes.

As an optional implementation manner, judging whether the node processing task volume distribution information matches the deviation distribution information may include: obtaining the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information; calculating the number of low-load nodes The first ratio of the total number of nodes, and the second ratio of the number of high-load nodes to the total number of nodes is calculated; the preset low-load node deviation ratio and the preset high-load node deviation ratio in the deviation distribution information are obtained; judge whether the first ratio is Higher than the preset low-load node deviation ratio and determine whether the second ratio is higher than the preset high-load node deviation ratio; when the first ratio is less than or equal to the preset low-load node deviation ratio and/or the second ratio is less than or equal to the preset When the high load node deviation ratio, it is determined that the node processing task load distribution information does not match the deviation distribution information; when the first ratio is higher than the preset low load node deviation ratio and the second ratio is higher than the preset high load node deviation ratio, It is determined that the distribution information of the node processing task amount matches the deviation distribution information.

In the embodiment of the present application, when the first ratio is higher than the preset low-load node deviation ratio and the second ratio is higher than the preset high-load node deviation ratio, it indicates that the node processing tasks are unevenly distributed at this time. If the processing tasks are unevenly distributed, it is determined not to be handed over.

By implementing this optional implementation, it is possible to determine whether the node processing task volume distribution information matches the deviation distribution information according to the number of high-load nodes and the number of low-load nodes. If they match, it indicates that the current node load is uneven, although the average is The amount of processing tasks is low, but the handover time is likely to be longer due to uneven node load, and the handover is not performed at this time, which improves the reliability of determining the handover time.

As an optional implementation manner, obtaining the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information may include: obtaining the standard load task volume of each node according to the node processing capability information; processing task volume distribution information by the node As a basis, calculate the difference between the standard load task load of each node and the node processing task load; determine the node whose absolute value of the difference is greater than the preset difference and the difference is positive as a low-load node, and determine the difference Nodes whose absolute value is greater than the preset difference value and the difference value is negative are determined as high load nodes; the number of low load nodes corresponding to low load nodes is counted, and the number of high load nodes corresponding to high load nodes is counted.

In the embodiment of this application, the standard load task amount is the normal task amount that the node can handle. If the task amount is much higher than the standard load task amount, it means that the node is an overloaded node, that is, the node is determined as For a high-load node, if the task volume is much less than the standard load task volume, it means that the node is a low-load node, that is, the node is determined as a low-load node.

By implementing this optional implementation method, the number of low-load nodes and the number of high-load nodes can be accurately obtained according to the standard load tasks of each node and the distribution of node processing tasks, thereby improving the accuracy of identifying the uneven load of nodes degree.

As an optional implementation manner, after judging that the node processing task amount distribution information matches the deviation distribution information, the following steps may be performed: sending to the maintenance terminal that matches the test environment a reminder of the node load in the test environment Uneven notification message. In the embodiment of the present application, the maintenance terminal matching the test environment may be an electronic device used by maintenance personnel who configure the test environment. By implementing this optional implementation manner, the maintenance personnel at the maintenance terminal that matches the test environment can be prompted to maintain the uneven load of nodes in the test environment, thereby improving the stability of the test environment.

Step 308: Determine the current moment as the handover time node that matches the test code.

Fig. 4 is a block diagram showing a test code handover control device according to an exemplary embodiment. As shown in Figure 4, the device includes:

The first obtaining unit 401 is configured to obtain node information in the test environment when a handover instruction for instructing the handover of the test code to the test environment is detected, and the node information includes at least node load status information and node processing capability information.

The first determining unit 402 is configured to determine the node processing task amount according to the node load status information.

As an optional implementation manner, the first determining unit 402 determining the processing task amount of the node according to the node load status information includes: the first determining unit 402 obtains the processing task amount of each node according to the node load status information; the first determining unit 402 Calculate the average value of the processing tasks of each node, and determine the average value as the node processing task amount.

The judging unit 403 is used to judge whether the node processing task amount is lower than the preset node processing task amount.

The second acquiring unit 404 is configured to acquire the node processing rate according to the node processing capability information when it is determined that the node task amount is higher than or equal to the preset node processing task amount.

As an optional implementation manner, the second acquiring unit 404 acquiring the node processing rate according to the node processing capability information may include: the second acquiring unit 404 acquiring the node processing rate of each node according to the node processing capability information; the second acquiring unit 404 Calculate the average value of the node processing rate of each node, and determine the average value as the node processing rate.

The generating unit 405 is configured to generate a handover time node matching the test code based on the node processing rate and the node task amount.

As an optional implementation manner, the generating unit 405 is based on the node processing rate and the node task volume, and generating the handover time node matching the test code may include: the generating unit 405 according to the node task volume, the node processing rate, and preset predictions The formula calculates the future processing task volume of the node matching the predicted time node, where the preset prediction formula is x=av×t; where a represents the node task volume, v represents the node processing rate, t represents the predicted time node, and x represents the prediction The future processing task amount of the node matching the time node; the generating unit 405 correspondingly stores the predicted time node and the future processing task amount of the node matching the predicted time node to obtain the node timing prediction summary table; the generating unit 405 is in the node timing prediction summary table The target node processing task amount of the selected node whose future processing task amount is less than the preset node processing task amount; the generating unit 405 determines the target predicted time node matching the target node processing task amount as the handover time node matching the test code.

The second determining unit 406 is configured to determine the current moment as the handover time node that matches the test code when it is determined that the node task amount is lower than the preset node processing task amount.

It can be seen that by implementing the test code handover control device described in Figure 4, based on software testing technology, when a handover instruction indicating the handover of the test code is detected, the timing of the test code handover can be determined according to the node information in the test environment. When the task load of the nodes in the test environment is not high, the test code is handed over, which reduces the handover time, and solves the problem that the handover time is too long due to the poor timing of the test code handover to the test environment.

Fig. 5 is a block diagram showing another test code handover control device according to an exemplary embodiment. Fig. 5 is optimized on the basis of Fig. 4. Compared with the test code handover control device shown in Fig. 4, the test code handover control device shown in Fig. 5 further includes: a third obtaining unit 407 for obtaining a test environment The nodes in the processing task volume distribution information.

The judging unit 403 is also used to judge whether the node processing task distribution information matches the deviation distribution information, and if it does not match, trigger the second determining unit 406 to execute the handover time node that determines the current moment as the test code matching.

As an optional implementation manner, the judging unit 403 judging whether the node processing task volume distribution information matches the deviation distribution information may include: the judging unit 403 obtains the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information; The judging unit 403 calculates the first ratio of the number of low-load nodes to the total number of nodes, and calculates the second ratio of the number of high-load nodes to the total number of nodes; the judging unit 403 obtains the preset low-load node deviation ratio and the predicted value in the deviation distribution information. Set the high load node deviation ratio; the judging unit 403 determines whether the first ratio is higher than the preset low load node deviation ratio and whether the second ratio is higher than the preset high load node deviation ratio; when the first ratio is less than or equal to the preset low When the load node deviation ratio and/or the second ratio are less than or equal to the preset high load node deviation ratio, the judgment unit 403 determines that the node processing task volume distribution information does not match the deviation distribution information; when the first ratio is higher than the preset low load node deviation ratio When the node deviation ratio and the second ratio are higher than the preset high-load node deviation ratio, the judgment unit 403 determines that the node processing task amount distribution information matches the deviation distribution information.

As another optional implementation manner, the judging unit 403 obtaining the number of high-load nodes and the number of low-load nodes according to the distribution information of the node processing task amount may include: the judging unit 403 obtains the standard load task amount of each node according to the node processing capability information; The judging unit 403 calculates the difference between the standard load task amount of each node and the node processing task amount based on the distribution information of the node processing task amount; the judgment unit 403 determines the absolute value of the difference value to be greater than the preset difference value and the difference value is a positive number Determine the node with a low load as a low-load node, and determine a node whose absolute value of the difference is greater than a preset difference and a negative difference as a high-load node; the judging unit 403 counts the number of low-load nodes corresponding to the low-load node, and the statistical high The number of high load nodes corresponding to load nodes.

As another optional implementation manner, after the judgment unit 403 judges that the node processing task amount distribution information matches the deviation distribution information, the judgment unit 403 may also be used to: send a reminder to the maintenance terminal that matches the test environment A message indicating uneven load on nodes in the test environment.

In the embodiment of the present application, the maintenance terminal matching the test environment may be an electronic device used by maintenance personnel who configure the test environment. By implementing this optional implementation manner, the maintenance personnel at the maintenance terminal that matches the test environment can be prompted to maintain the uneven load of nodes in the test environment, thereby improving the stability of the test environment.

It can be seen that by implementing the test code handover control device described in Figure 5, based on software testing technology, when a handover instruction instructing the handover of the test code is detected, the timing of the test code handover can be determined according to the node information in the test environment. When the task load of the nodes in the test environment is not high, the test code is handed over, which reduces the handover time, and solves the problem that the handover time is too long due to the poor timing of the test code handover to the test environment.

The present application also provides an electronic device, the electronic device includes: a processor; a memory, the memory is stored with computer-readable instructions, when the computer-readable instructions are executed by the processor, the test code transfer control as shown above is realized method. The electronic device may be the test code transfer device 100 shown in FIG. 1.

In an exemplary embodiment, the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the test code transfer control method shown above is implemented.

It should be understood that the present application is not limited to the precise structure that has been described above and shown in the drawings, and various modifications and changes can be performed without departing from its scope. The scope of the application is only limited by the appended claims.

Claims

A test code transfer control method, including:

When a handover instruction for instructing to hand over the test code to the test environment is detected, obtain node information in the test environment, where the node information includes at least node load status information and node processing capability information;

Determining the node processing task amount according to the node load status information;

Judging whether the node processing task amount is lower than a preset node processing task amount;

When it is determined that the node task volume is higher than or equal to the preset node processing task volume, acquiring the node processing rate according to the node processing capability information;

Generating a handover time node matching the test code based on the node processing rate and the node task amount;

When it is determined that the node task amount is lower than the preset node processing task amount, the current moment is determined as the handover time node that matches the test code.
The method according to claim 1, wherein said determining the amount of processing tasks of a node according to said node load status information comprises:

Acquiring the amount of processing tasks of each node according to the node load status information;

Calculate the average value of the processing task amount of each node, and determine the average value as the node processing task amount.
The method according to claim 1, wherein the generating a handover time node matching the test code based on the processing rate of the node and the task amount of the node comprises:

According to the node task volume, the node processing rate, and a preset prediction formula, the future processing task volume of the node matching the predicted time node is calculated, wherein the preset prediction formula is
The a represents the node task volume, the v represents the node processing rate, the t represents the predicted time node, and the x represents the future processing task volume of the node that matches the predicted time node ；

Correspondingly store the future processing task amount of the node that matches the predicted time node and the predicted time node, and obtain a node timing prediction summary table;

Select the target node processing task amount of which the future processing task amount of the node is less than the preset node processing task amount in the node timing prediction total table;

The target predicted time node matching the processing task amount of the target node is determined as the handover time node matching the test code.
The method according to any one of claims 1 to 3, wherein the node information further includes node processing task volume distribution information, after determining that the node task volume is lower than the preset node processing task volume, and Before the determining the current moment as the handover time node that matches the test code, the method further includes: obtaining distribution information of the node processing task volume in the test environment;

Judging whether the node processing task amount distribution information matches the deviation distribution information;

If it does not match, execute the handover time node that determines the current moment as the match of the test code.
5. The method according to claim 4, wherein the determining whether the node processing task amount distribution information matches the deviation distribution information comprises:

Obtaining the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information;

Calculating a first ratio of the number of low-load nodes to the total number of nodes, and calculating a second ratio of the number of high-load nodes to the total number of nodes;

Obtain the preset low-load node deviation ratio and the preset high-load node deviation ratio in the deviation distribution information;

Judging whether the first ratio is higher than the preset low-load node deviation ratio and judging whether the second ratio is higher than the preset high-load node deviation ratio;

When the first ratio is less than or equal to the preset low load node deviation ratio and/or the second ratio is less than or equal to the preset high load node deviation ratio, it is determined that the node processing task amount distribution information is The deviation distribution information does not match;

When the first ratio is higher than the preset low-load node deviation ratio and the second ratio is higher than the preset high-load node deviation ratio, determine the node processing task amount distribution information and the deviation distribution The information matches.
The method according to claim 5, wherein the obtaining the number of high-load nodes and the number of low-load nodes according to the distribution information of the node processing task volume comprises:

Obtaining the standard load task amount of each node according to the node processing capability information;

Calculating the difference between the standard load task amount of each node and the node processing task amount based on the node processing task amount distribution information;

The node whose absolute value of the difference is greater than the preset difference and the difference is positive is determined as a low load node, and the absolute value of the difference is greater than the preset difference and the difference is Nodes with negative numbers are determined as high load nodes;

Count the number of low-load nodes corresponding to the low-load nodes, and count the number of high-load nodes corresponding to the high-load nodes.
The method according to claim 4, wherein after determining that the node processing task amount distribution information matches the deviation distribution information, the method further comprises:

Sending a prompt message for prompting uneven load of nodes in the test environment to a maintenance terminal that matches the test environment.
A test code transfer control device, including:

The first obtaining unit is configured to obtain node information in the test environment when a handover instruction for instructing the handover of the test code to the test environment is detected, where the node information includes at least node load status information and node processing Capability information

The first determining unit is configured to determine the node processing task amount according to the node load status information;

A judging unit for judging whether the node processing task amount is lower than a preset node processing task amount;

The second acquiring unit is configured to acquire the node processing rate according to the node processing capability information when it is determined that the node task amount is higher than or equal to the preset node processing task amount;

A generating unit, configured to generate a handover time node that matches the test code based on the processing rate of the node and the task amount of the node;

The second determining unit is configured to determine the current moment as the handover time node that matches the test code when it is determined that the node task amount is lower than the preset node processing task amount.
8. The apparatus of claim 8, wherein the first determining unit comprises:

A task volume acquiring unit, configured to acquire the processing task volume of each node according to the node load status information;

The task amount calculation unit is configured to calculate the average value of the processing task amount of each node, and determine the average value as the node processing task amount.
The apparatus according to claim 8, wherein the generating unit comprises:

The matching prediction unit is configured to calculate the future processing task amount of the node matching the predicted time node according to the node task amount, the node processing rate, and a preset prediction formula, wherein the preset prediction formula is
The a represents the node task volume, the v represents the node processing rate, the t represents the predicted time node, and the x represents the future processing task volume of the node that matches the predicted time node ；

A task amount storage unit, configured to correspondingly store the future processing task amount of the node that matches the predicted time node and the predicted time node, and obtain a node time sequence forecast summary table;

A task amount selection unit, configured to select a target node processing task amount whose future processing task amount of the node is less than the preset node processing task amount in the node time sequence prediction total table;

The node determining unit is configured to determine the target predicted time node matching the processing task amount of the target node as the handover time node matching the test code.
The device according to any one of claims 8 to 10, wherein the device further comprises:

The third acquiring unit is configured to acquire the distribution information of processing tasks of nodes in the test environment;

The matching judgment unit is used to judge whether the node processing task amount distribution information matches the deviation distribution information;

If it does not match, execute the handover time node that determines the current moment as the match of the test code.
The device according to claim 11, wherein the matching judgment unit comprises:

A node quantity obtaining unit, configured to obtain the number of high-load nodes and the number of low-load nodes according to the distribution information of the node processing task amount;

A ratio calculation unit, configured to calculate a first ratio of the number of low-load nodes to the total number of nodes, and calculate a second ratio of the number of high-load nodes to the total number of nodes;

The deviation ratio obtaining unit is used to obtain the preset low-load node deviation ratio and the preset high-load node deviation ratio in the deviation distribution information;

The ratio judgment unit is used to judge whether the first ratio is higher than the preset low-load node deviation ratio and whether the second ratio is higher than the preset high-load node deviation ratio; when the first ratio is When it is less than or equal to the preset low-load node deviation ratio and/or the second ratio is less than or equal to the preset high-load node deviation ratio, it is determined that the node processing task amount distribution information is different from the deviation distribution information. Match; when the first ratio is higher than the preset low-load node deviation ratio and the second ratio is higher than the preset high-load node deviation ratio, determine the node processing task amount distribution information and the The deviation distribution information matches.
The apparatus according to claim 12, wherein the node quantity obtaining unit comprises:

The standard load task amount obtaining unit is configured to obtain the standard load task amount of each node according to the node processing capability information;

A node task amount difference calculation unit, configured to calculate the difference between the standard load task amount of each node and the node processing task amount based on the node processing task amount distribution information;

A node load determining unit, configured to determine a node whose absolute value of the difference is greater than a preset difference and the difference is positive as a low-load node, and determine the absolute value of the difference to be greater than the preset A node with a difference value and the difference value is negative is determined as a high load node;

The node number statistics unit is used to count the number of low-load nodes corresponding to the low-load nodes and the number of high-load nodes corresponding to the high-load nodes.
The device of claim 11, wherein the device further comprises:

The prompt unit is configured to send a prompt message for prompting the uneven load of the nodes in the test environment to the maintenance terminal that matches the test environment.
An electronic device including:

When a handover instruction for instructing to hand over the test code to the test environment is detected, obtain node information in the test environment, where the node information includes at least node load status information and node processing capability information;

Determining the node processing task amount according to the node load status information;

Judging whether the node processing task amount is lower than a preset node processing task amount;

When it is determined that the node task volume is higher than or equal to the preset node processing task volume, acquiring the node processing rate according to the node processing capability information;

Generating a handover time node matching the test code based on the node processing rate and the node task amount;

When it is determined that the node task amount is lower than the preset node processing task amount, the current moment is determined as the handover time node that matches the test code.
The electronic device according to claim 15, wherein the processing task amount of the node is determined according to the node load status information, and the processor is configured to implement the following steps:

Acquiring the amount of processing tasks of each node according to the node load status information;

Calculate the average value of the processing task amount of each node, and determine the average value as the node processing task amount.
The electronic device according to claim 15, wherein said generating a handover time node matching said test code based on said node processing rate and said node task amount, and said processor is configured to implement the following steps :

According to the node task volume, the node processing rate, and a preset prediction formula, the future processing task volume of the node matching the predicted time node is calculated, wherein the preset prediction formula is
The a represents the node task volume, the v represents the node processing rate, the t represents the predicted time node, and the x represents the future processing task volume of the node that matches the predicted time node ；

Correspondingly store the future processing task amount of the node that matches the predicted time node and the predicted time node, and obtain a node timing prediction summary table;

Select the target node processing task amount of which the future processing task amount of the node is less than the preset node processing task amount in the node timing prediction total table;

The target predicted time node matching the processing task amount of the target node is determined as the handover time node matching the test code.
The electronic device according to any one of claims 15 to 17, wherein the node information further includes node processing task volume distribution information, and after determining that the node task volume is lower than the preset node processing task volume, And before determining the current moment as the handover time node that matches the test code, the processor is further configured to implement the following steps:

Acquiring distribution information of processing tasks of nodes in the test environment;

Judging whether the node processing task amount distribution information matches the deviation distribution information;

If it does not match, execute the handover time node that determines the current moment as the match of the test code.
18. The electronic device according to claim 18, wherein said determining whether said node processing task amount distribution information matches deviation distribution information, said processor is configured to implement the following steps:

Obtaining the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information;

Calculating a first ratio of the number of low-load nodes to the total number of nodes, and calculating a second ratio of the number of high-load nodes to the total number of nodes;

Obtain the preset low-load node deviation ratio and the preset high-load node deviation ratio in the deviation distribution information;

Judging whether the first ratio is higher than the preset low-load node deviation ratio and judging whether the second ratio is higher than the preset high-load node deviation ratio;

When the first ratio is less than or equal to the preset low load node deviation ratio and/or the second ratio is less than or equal to the preset high load node deviation ratio, it is determined that the node processing task amount distribution information is The deviation distribution information does not match;

When the first ratio is higher than the preset low-load node deviation ratio and the second ratio is higher than the preset high-load node deviation ratio, determine the node processing task amount distribution information and the deviation distribution The information matches.
The electronic device according to claim 19, wherein the number of high-load nodes and the number of low-load nodes are obtained according to the distribution information of the node processing task volume, and the processor is configured to implement the following steps:

Obtaining the standard load task amount of each node according to the node processing capability information;

Calculating the difference between the standard load task amount of each node and the node processing task amount based on the node processing task amount distribution information;

The node whose absolute value of the difference is greater than the preset difference and the difference is positive is determined as a low load node, and the absolute value of the difference is greater than the preset difference and the difference is Nodes with negative numbers are determined as high load nodes;

Count the number of low-load nodes corresponding to the low-load nodes, and count the number of high-load nodes corresponding to the high-load nodes.
18. The electronic device according to claim 18, wherein, after determining that the node processing task amount distribution information matches the deviation distribution information, the processor is further configured to implement the following steps:

Sending a prompt message for prompting uneven load of nodes in the test environment to a maintenance terminal that matches the test environment.
A computer nonvolatile readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the processor is configured to implement the following steps:

When a handover instruction for instructing to hand over the test code to the test environment is detected, obtain node information in the test environment, where the node information includes at least node load status information and node processing capability information;

Determining the node processing task amount according to the node load status information;

Judging whether the node processing task amount is lower than a preset node processing task amount;

When it is determined that the node task volume is higher than or equal to the preset node processing task volume, acquiring the node processing rate according to the node processing capability information;

Generating a handover time node matching the test code based on the node processing rate and the node task amount;

When it is determined that the node task amount is lower than the preset node processing task amount, the current moment is determined as the handover time node that matches the test code.
22. The computer non-volatile readable storage medium according to claim 22, wherein the node processing task amount is determined according to the node load status information, and the processor is configured to implement the following steps:

Acquiring the amount of processing tasks of each node according to the node load status information;

Calculate the average value of the processing task amount of each node, and determine the average value as the node processing task amount.
The computer non-volatile readable storage medium of claim 22, wherein said generating a handover time node matching said test code based on said node processing rate and said node task amount, said The processor is configured to implement the following steps:

According to the node task volume, the node processing rate, and a preset prediction formula, the future processing task volume of the node matching the predicted time node is calculated, wherein the preset prediction formula is
The a represents the node task volume, the v represents the node processing rate, the t represents the predicted time node, and the x represents the future processing task volume of the node that matches the predicted time node ；

Correspondingly store the future processing task amount of the node that matches the predicted time node and the predicted time node, and obtain a node timing prediction summary table;

Select the target node processing task amount of which the future processing task amount of the node is less than the preset node processing task amount in the node timing prediction total table;

The target predicted time node matching the processing task amount of the target node is determined as the handover time node matching the test code.
The computer non-volatile readable storage medium according to any one of claims 22 to 24, wherein the node information further includes node processing task amount distribution information, and when it is determined that the node task amount is lower than the predetermined Assuming that after the node processes the task amount and before the current moment is determined as the handover time node that matches the test code, the processor is further configured to implement the following steps:

Acquiring distribution information of processing tasks of nodes in the test environment;

Judging whether the node processing task amount distribution information matches the deviation distribution information;

If it does not match, execute the handover time node that determines the current moment as the match of the test code.
25. The computer non-volatile readable storage medium according to claim 25, wherein the determining whether the node processing task amount distribution information matches the deviation distribution information, the processor is configured to implement the following steps:

Obtaining the number of high-load nodes and the number of low-load nodes according to the node processing task volume distribution information;

Calculating a first ratio of the number of low-load nodes to the total number of nodes, and calculating a second ratio of the number of high-load nodes to the total number of nodes;

Obtain the preset low-load node deviation ratio and the preset high-load node deviation ratio in the deviation distribution information;

Judging whether the first ratio is higher than the preset low-load node deviation ratio and judging whether the second ratio is higher than the preset high-load node deviation ratio;

When the first ratio is less than or equal to the preset low load node deviation ratio and/or the second ratio is less than or equal to the preset high load node deviation ratio, it is determined that the node processing task amount distribution information is The deviation distribution information does not match;

When the first ratio is higher than the preset low-load node deviation ratio and the second ratio is higher than the preset high-load node deviation ratio, determine the node processing task amount distribution information and the deviation distribution The information matches.
The computer non-volatile readable storage medium according to claim 26, wherein the number of high-load nodes and the number of low-load nodes are obtained according to the distribution information of the node processing task volume, and the processor is configured to implement the following steps :

Obtaining the standard load task amount of each node according to the node processing capability information;

Calculating the difference between the standard load task amount of each node and the node processing task amount based on the node processing task amount distribution information;

The node whose absolute value of the difference is greater than the preset difference and the difference is positive is determined as a low load node, and the absolute value of the difference is greater than the preset difference and the difference is Nodes with negative numbers are determined as high load nodes;

Count the number of low-load nodes corresponding to the low-load nodes, and count the number of high-load nodes corresponding to the high-load nodes.
25. The computer non-volatile readable storage medium according to claim 25, wherein after detecting that the node processing task amount distribution information matches the deviation distribution information, the processor is further configured to implement the following steps:

Sending a prompt message for prompting uneven load of nodes in the test environment to a maintenance terminal matching the test environment.