CN113592305A

CN113592305A - Test method, test device, electronic device, and storage medium

Info

Publication number: CN113592305A
Application number: CN202110877870.7A
Authority: CN
Inventors: 吴玉培
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2021-07-29
Filing date: 2021-07-29
Publication date: 2021-11-02
Anticipated expiration: 2041-07-29
Also published as: CN113592305B

Abstract

The disclosure discloses a test method, an apparatus, an electronic device, a storage medium, and a program product. Relate to computer technical field, especially relate to big data technical field. The specific implementation scheme is as follows: responding to a request for acquiring a task from a client, and determining a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request; and sending the target test task and the target task rule to the client so as to execute the target test task based on the target task rule.

Description

Test method, test device, electronic device, and storage medium

Technical Field

The present disclosure relates to the field of computer technology, and more particularly, to the field of big data technology. In particular, to a test method, apparatus, electronic device, storage medium and program product.

Background

With the development of internet technology, internet information becomes a new product of the modern technological revolution. The internet information has many advantages, for example, the information is diversified, and not only includes characters and pictures, but also contents such as video and audio; the transmission interaction can provide real-time interaction, such as replying, barrage and the like; the system is spread and diffused, is not limited to geographical positions any more, and can be shared all over the world at any time and any place. Based on the above, the internet information has its outstanding advantages and irreplaceability compared with the information distributed by the traditional media such as newspaper, television and the like.

Disclosure of Invention

The disclosure provides a test method, a test apparatus, an electronic device, a storage medium, and a program product.

According to an aspect of the present disclosure, there is provided a test method including: responding to a request for acquiring a task from a client, and determining a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request; and sending the target test task and the target task rule to the client so as to execute the target test task based on the target task rule.

According to another aspect of the present disclosure, there is provided a test apparatus including: the response module is used for responding to a request for acquiring the task from the client, and determining a target test task and a target task rule which are associated with target user identification information based on the target user identification information included in the request; and the first sending module is used for sending the target test task and the target task rule to the client so as to execute the target test task based on the target task rule.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method as described above.

According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method as described above.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a schematic diagram illustrating a review accuracy evaluation flow for a review task;

FIG. 2 schematically illustrates an exemplary system architecture to which the testing methods and apparatus may be applied, according to an embodiment of the disclosure;

FIG. 3 schematically illustrates a flow chart of a testing method according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow diagram for creating a task queue and creating task rules, according to an embodiment of the disclosure;

FIG. 5 schematically illustrates a flow diagram for determining a target task queue and determining target task rules, according to an embodiment of the disclosure;

FIG. 6 schematically illustrates a flow diagram of a testing method according to another embodiment of the present disclosure;

FIG. 7 schematically illustrates a block diagram of a testing device according to an embodiment of the present disclosure; and

fig. 8 schematically shows a block diagram of an electronic device suitable for implementing a testing method according to an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

With the rapid development of the internet, the network information content also needs to be standardized and maintained, so as to create a positive and healthy and upward-good cultural atmosphere.

The information quantity of the network information is increased explosively, and the network information content can be audited and evaluated in order to better maintain the healthy ecological environment of the network information. However, the work capacity and the auditing quality of auditors are not uniform, and once the problems of auditing errors and auditing omission occur, the network safety is damaged.

Therefore, the work of the auditor can be evaluated, and the auditing accuracy rate of the auditor for auditing the internet information such as articles, posts and the like can be evaluated. For the auditors which do not reach the standard, a certain penalty is given or the auditors are required to go on duty after being trained, so that the vigilance of the auditors is improved, the auditing accuracy is improved, and the risk of missing inspection is reduced.

Fig. 1 schematically shows a flow chart of evaluation of the audit accuracy of an audit task.

As shown in fig. 1, the auditing platform 110 is configured to dispatch auditing tasks to various auditors and receive auditing results; the audit platform 110 may also be configured to extract a part of audit content that has obtained an audit result, and send the part of audit content that has obtained an audit result to the quality inspection platform 120.

Quality inspection personnel on the service line of the quality inspection platform 120 can perform quality inspection on the inspected content which is already inspected, judge whether the inspected content has problems, and obtain a quality inspection result. And the quality inspection platform 120 is used for carrying out statistical analysis on the quality inspection result to determine the work accuracy of the auditor. And then corresponding measures are taken according to the statistical analysis result. For example, according to the statistical analysis result, a review list that needs to be trained off duty and then on duty is sent to the training platform 130, and the training platform 130 completes the off duty training of the non-standard reviewers. Therefore, the auditing accuracy of auditors is improved, and the missing inspection risk is reduced.

However, in the process of verifying the auditing accuracy rate of the auditor by the quality inspector, the auditing correctness needs to be verified manually, and the analysis and statistics also need to be done manually. The quality inspection work of quality inspection personnel needs to be repeated every day, which wastes resources and consumes manpower. In addition, due to spot check, the auditors covering the corresponding service lines are not complete, and the auditing accuracy of all auditors cannot be monitored and measured. The result is that the auditor with low accuracy may not find the result in time. Resulting in many auditing errors of the audited content.

Embodiments of the present disclosure provide a test method, apparatus, electronic device, storage medium, and program product.

According to an embodiment of the present disclosure, a test method may include: responding to a request for acquiring a task from a client, and determining a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request; and sending the target test task and the target task rule to the client so as to execute the target test task based on the target task rule.

By using the testing method provided by the embodiment of the disclosure, the target testing task and the target task rule can be automatically sent to the client, and then the auditors corresponding to the target user identification information are matched, so that the auditors can be conveniently tested for the audit tasks, the automation degree is high, and the manpower is saved.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user or auditor are in accordance with the regulations of related laws and regulations, and do not violate the good custom of the public order.

Fig. 2 schematically illustrates an exemplary system architecture to which the testing method and apparatus may be applied, according to an embodiment of the present disclosure.

It should be noted that fig. 2 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 2, a system architecture 200 according to this embodiment may include

clients

201, 202, 203, a network 204, and a server 205. The network 204 serves as a medium for providing communication links between the

clients

201, 202, 203 and the server 205. Network 204 may include various connection types, such as wired and/or wireless communication links, and so forth.

The

clients

201, 202, 203 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablets, laptop and desktop computers, and the like.

Clients

201, 202, 203 may be used to interact with a server 205 over a network 204 to receive test tasks or send test results, etc.

The server 205 may be a server that provides various services, for example, partitioning a cache, designing a task queue in the cache partition, storing a test task in the task queue, and storing a task rule in the cache partition, so as to form a function of automatically sending the test task to the

clients

201, 202, and 203 and receiving a test result returned by the

clients

201, 202, and 203. In addition, the server 205 may also compare the test result with the calibration result to determine the accuracy of the auditor completing the test task.

It should be noted that the testing method provided by the embodiment of the present disclosure may be generally executed by the server 205. Accordingly, the testing device provided by the embodiment of the present disclosure may be generally disposed in the server 205. The testing methods provided by embodiments of the present disclosure may also be performed by a server or cluster of servers that is different from the server 205 and that is capable of communicating with the

clients

201, 202, 203 and/or the server 205. Accordingly, the testing device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 205 and capable of communicating with the

clients

201, 202, 203 and/or the server 205.

It should be understood that the number of clients, networks, and servers in fig. 2 is merely illustrative. There may be any number of clients, networks, and servers, as desired for an implementation.

FIG. 3 schematically shows a flow chart of a testing method according to an embodiment of the present disclosure.

As shown in fig. 3, the method includes operations S310 to S320.

In operation S310, in response to a request for acquiring a task from a client, a target test task associated with target user identification information and a target task rule are determined based on the target user identification information included in the request.

In operation S320, the target test task and the target task rule are sent to the client, so that the target test task is executed based on the target task rule.

According to the embodiment of the present disclosure, the type of the target user identification information is not limited. For example, the character identification information may be alphabetic identification information, numeric identification information, or a combination thereof, or other character identification information. As long as the identification information is capable of uniquely identifying the user identity.

According to the embodiment of the disclosure, the content to be processed of the target test task is not limited. For example, the content may be an online questionnaire, an online test paper, an article to be viewed and checked, a video, or other content that requires user operation.

According to an embodiment of the present disclosure, the target test task may be a response questionnaire, an audit article, a video, and the like.

According to embodiments of the present disclosure, a target task rule may refer to a rule to be followed, referenced, in order to complete a target testing task.

According to the embodiment of the present disclosure, the test task and the task rule may be matched in pairs, distributed to the user according to actual requirements, and mapped to the corresponding test task and task specification by using the user identification information and recorded as the mapping table, but the present disclosure is not limited thereto. The identification information of the test task and the task rule can also comprise user identification information fields respectively, or the identification information of the test task and the task rule is mapped with the user identification information respectively.

According to the embodiment of the disclosure, a target test task and a target task rule can be sent to a client based on target user identification information carried in a request in response to the request for acquiring the task from the client, so that a user represented by the target user identification information can execute the target test task based on the target task rule.

By using the testing method provided by the embodiment of the disclosure, the target testing task and the target task rule can be automatically associated with the target user identification information, and the target testing task and the target task rule are automatically sent to the client, so that the deployment of the testing work of the user is realized, the manpower is liberated, the automation and the intelligence are improved, and the testing efficiency is improved.

The method, for example, as shown in fig. 3, is further described below with reference to fig. 4-6 in conjunction with specific embodiments.

According to an embodiment of the present disclosure, the content to be processed included in the target test task may include one or more of an image, text, video, and audio.

According to an embodiment of the present disclosure, the processing operation in the target test task may refer to a review and screening operation, such as reviewing and screening network information, content, and the like, which are not in the civilized specification.

According to the embodiment of the disclosure, the content to be processed included in the target test task may be an image, a text or a video, but is not limited thereto, and may also be a text combined with a text, a video with a text introduction, a motion picture, and the like.

According to the embodiment of the disclosure, the auditing and screening of the internet information to be issued and disclosed can be taken as a target test task.

According to the embodiment of the disclosure, the internet information of auditing and screening is combined with testing, and the information is automatically distributed, so that the judgment efficiency and the judgment comprehensiveness of auditors are improved.

According to an embodiment of the present disclosure, task rules may be created and stored by the following operations.

For example, the task rule is created according to a preset rule, wherein the task rule identification information of the task rule may include a user identification information field, so as to determine a target task rule from the task rule based on the target user identification information and the user identification information field; and storing the task rule into a cache partition.

According to the embodiment of the present disclosure, the preset rule may be a rule manually defined, or may be a rule established according to a regulation system, as long as the rule can standardize a standard for executing a test task.

According to the embodiment of the disclosure, different types of test tasks can be set with different standard task rules, and the more types of test tasks are, the more task rules are possible to be. And planning a corresponding cache partition in advance, and storing the task rule into the cache partition. It should be noted that the cache may be divided into a plurality of cache partitions, so as to perform partition storage on different types of test tasks and task rules.

According to an embodiment of the present disclosure, in order to determine a target task rule from task rules, identification information may be previously tagged to the task rule. The task rule identification information of the task rule may include a user identification information field, for example, the user identification information uid of the auditor is combined with the cache partition identification information subarea of the cache partition to serve as the task rule identification information subarea-uid corresponding to the task rule.

By using the identification mode of the task rule identification information provided by the embodiment of the disclosure, the target task rule can be determined from the task rule based on the target user identification information and the user identification information field.

According to an embodiment of the present disclosure, a task queue may be created by the following operations.

According to the embodiment of the disclosure, the task queue identification information of the task queue may include a user identification information field, for example, user identification information uid of the auditor, cache partition identification information subarea of the cache partition, and task rule ruleId are combined as task queue identification information ruleId _ subarea _ uid of the task queue.

By using the identification mode of the task queue identification information provided by the embodiment of the disclosure, the target task rule can be determined from the task queue based on the target user identification information and the user identification information field.

It should be noted that the above-mentioned task queue identification information and task rule identification information are only exemplary embodiments, and are not limited to this, and the task rule identification information may also be ruleId _ subarea _ uid, and the task queue identification information is subarea _ uid, as long as they can serve as unique identifiers and can be uniquely determined according to the user identification information. The method and the device can ensure that each user identification information has a unique task queue and a unique task rule, so as to ensure that the auditor executes the target test task matched with the auditor.

According to the embodiment of the disclosure, after the task queue is created in the cache partition, the test task with the mark can be stored in the corresponding task queue. The tasks can be marked according to the preset types and the preset number of the audit contents and the marked test tasks are stored in the corresponding task queues.

According to the embodiment of the disclosure, complete test task identification information can be formed according to identification fields such as the task id to be processed, the cache partition subarea, the user identification information uid, the task rule ruleId and the like, and the task is marked to form the test task. So as to determine the test result of the test task according to the test task identification information.

By using the embodiment of the disclosure, the task queue and the task rule can be constructed according to the requirement of the test task, and the corresponding user identification information is uniquely matched with the test task through the cache partition, the task queue, the task rule identification information and the task queue identification information.

FIG. 4 schematically shows a flowchart for creating a task queue and creating task rules according to an embodiment of the disclosure.

As shown in FIG. 4, a task set 410, comprising a plurality of tasks, may be collected from a database or other platform. Complete test task identification information can be formed according to identification fields such as task id, cache partition subarea, user identification information uid, task rule ruleId and the like, a marking task forms a test task, and a plurality of test tasks form a test task set 420.

The cache 430 may be preplanned with corresponding cache partition 1 and cache partition 2. The test tasks are stored in task queues 450 in cache partition 1 and cache partition 2, respectively. The task queue identification information of the task queue may be ruleId1_ subarea1_ uid1, ruleId1_ subarea1_ uid2, ruleId2_ subarea2_ uid1, and ruleId2_ subarea2_ uid2 in this order.

Task rules may be created to form a set of task rules 440. And storing the task rules into the cache partition 1 and the cache partition 2 respectively. Among them, the task rule identification information of each task rule 460 may be subarea1_ uid1, subarea1_ uid2, subarea2_ uid1, and subarea2_ uid 2.

According to the embodiment of the disclosure, in response to a request for acquiring a task from a client, a target test task and a target task rule associated with target user identification information are determined based on the target user identification information included in the request, which can be achieved by the following operations.

For example, a target cache partition is determined from the cache partitions; determining a target task rule associated with the target user identification information from a plurality of task rules in the target cache partition based on the target user identification information; determining target queue identification information associated with the target rule identification information based on the target user identification information; and determining a target task queue corresponding to the target queue identification information from a plurality of task queues in the target cache partition based on the target queue identification information so as to determine a target test task from the target task queue.

FIG. 5 schematically illustrates a flow diagram for determining a target task queue and determining target task rules, according to an embodiment of the disclosure.

As shown in fig. 5, it is determined that the cache partition 1 is the target cache partition from among the cache partition 1 and the cache partition 2. Based on the target user identification information uid1 and target user identification information uid2 carried in the request for acquiring the task sent by the client uid1 and the client uid2, the target task queue 510 of which the target queue identification information of the client uid1 is ruleId1_ subarea1_ uid1 is determined from the cache partition 1, and the target task rule 530 of which the target rule identification information of the client uid1 is subarea1_ uid1 is determined from the cache partition 1. The test tasks in the target task queue 510 and the target task rules 530 are sent to the client uid 1. Similarly, the target task queue 520 whose target queue identification information of the client uid2 is determined to be ruleId1_ subarea1_ uid2 from the cache partition 1, and the target task rule 540 whose target rule identification information of the client uid2 is determined to be subarea1_ uid2 from the cache partition 1. The test tasks in the target task queue 520 and the target task rules 530 are sent to the client uid 2.

According to the embodiment of the disclosure, the user identification information is matched with the task queue and the task rule, so that the oriented auditors are supported, and all auditors corresponding to the audit service are ensured to be covered.

According to the embodiment of the disclosure, by constructing a plurality of cache partitions and by using different cache partitions, different task queues and task rules, the universality of the test task is realized, and the diversity and richness of the test task are ensured.

According to the embodiment of the disclosure, the task rule and the test task are stored by using the cache, the storage expiration time of the task rule and the test task in the cache can be set, and the corresponding test task and the task rule in the corresponding cache partition in the cache are deleted when the storage expiration time is exceeded. So as to realize the effect of instant update.

According to an embodiment of the present disclosure, in response to a request from a client to retrieve a task, identifying an availability status of a cache partition in a cache; determining the cache partition as a target cache partition under the condition that the available state of the cache partition is determined as an enabled state; and under the condition that the available state of the cache partition is determined to be the forbidden state, determining that no target test task exists, and sending the online task to the client side for an auditor to execute the online task operation.

According to the embodiment of the present disclosure, one cache partition may be divided from the cache redis, but is not limited thereto, and in the embodiment of the present disclosure, a plurality of cache partitions may be divided from the cache for simultaneously processing more test tasks and storage of task rules. The universality is improved, and the comprehensiveness of the test task is ensured.

According to an embodiment of the present disclosure, in response to a request from a user of a client to obtain a task, a target cache partition, i.e., a cache partition in an enabled state, may be first identified from a plurality of cache partitions, and the cache partition in the enabled state may be determined as the target cache partition.

According to the embodiment of the disclosure, the available state of the cache partition represents whether the test task exists in the task queue in the cache partition. For example, if there is a test task in the task queue in the cache partition, it is determined as the enabled state, and if there is no test task in the task queue in the cache partition, it is determined as the disabled state.

According to the embodiment of the disclosure, the cache partition with the test task in the task queue can be determined as the target cache partition.

According to the embodiment of the disclosure, the target cache partition can be quickly confirmed by identifying the available state of the cache partition, and the processing efficiency is improved.

According to an embodiment of the present disclosure, the transmission frequency of the test task may be controlled by the following operations.

For example, determining the number of test tasks that have been sent to the client; calculating the quantity proportion between the test tasks which are sent to the client and the on-line tasks which are sent to the client, wherein the on-line tasks are non-test tasks; and under the condition that the quantity proportion is smaller than a preset proportion threshold value, sending the target test task and the target task rule to the client according to a preset time sending rule.

According to the embodiment of the disclosure, the number of test tasks that have been sent to the client can be determined by the number of test tasks read in the task queue.

According to an embodiment of the present disclosure, the online task may be the same task as the content of the test task. The online task may be the business that the auditor actually needs to handle. The online tasks may be pre-stored in a database.

According to the embodiment of the disclosure, when the auditor processes the on-line task, the auditor test task is distributed, so that the true level of the business processing of the auditor can be reflected.

According to the embodiment of the disclosure, the preset proportion threshold value can be preset according to actual needs, and the target test task and the target task rule are sent to the client according to the preset sending rule under the condition that the quantity proportion between the test task and the on-line task is smaller than the preset proportion threshold value.

According to the embodiment of the disclosure, the preset sending rule may be sent to the client at preset time intervals, may also be sent to the client at preset frequency with an online task, and may also be continuously sent to the client without interruption.

According to the embodiment of the disclosure, the testing task is reasonably matched with the on-line task, the actual working efficiency of auditors cannot be influenced, the quality inspection experience is improved, and the quality inspection quantity and time can be flexibly allocated and are more intelligent.

The final purpose of the design test method of the embodiment of the disclosure is also the ability of the auditor to process the business.

According to an embodiment of the present disclosure, the auditing accuracy of an auditor may be determined by the following operations.

For example, a test result from the client is obtained, wherein the test result is a result obtained by executing the target test task based on the target task rule; and comparing the test result with the checking result of the target test task.

According to an embodiment of the present disclosure, the proofreading result may refer to a standard answer for evaluating a standard of accuracy of the test result.

According to the embodiment of the disclosure, the auditing personnel can execute the target test task based on the target task rule to obtain the test result; and after the treatment of the auditor is completed, returning the test result through the client. The comparison can be performed based on the test result and the check result, and the service processing accuracy of the auditor can be determined through the comparison result.

It should be noted that, the processed results of the test task and the online task need to be returned through the client, and the test task may be formed by marking the tasks, so as to distinguish the test task from the online task, and distinguish the test result of the test task from the result of the online task.

By using the evaluation mode of the processing service of the auditor provided by the embodiment of the disclosure, the audit result can be automatically compared after the auditor executes the target test task, and whether the audit is correct or not is not required to be manually verified by operation.

In addition, by using the auditing method provided by the embodiment of the disclosure, a plurality of auditors can be automatically and intelligently monitored and measured, the statistical efficiency is high, the speed is high, and auditors with the auditing service processing accuracy rate not reaching the standard can be timely found.

Fig. 6 schematically shows a flow diagram of a testing method according to another embodiment of the present disclosure.

As shown in FIG. 6, client 610 sends a request to test platform 620 to obtain a task. In response to the request, the test platform 620 identifies an available state of the cache partition in the cache 630, and in the case of an enabled state (i.e., yes), determines a target test task from the target cache partition of the cache 630 and sends the target test task to the client 610, so that an auditor of the client 610 obtains a test result based on executing the target test task. In the case where the cache partition is disabled (i.e., no), the online task is determined from the database 640 and sent to the client 610, so that the auditor of the client 610 obtains the audit result based on performing the online task. The client 610 sends the test result or the audit result to the test platform 620.

By using the testing method provided by the embodiment of the disclosure, automatic quality inspection is realized, manual repeated sampling inspection and statistics are not needed, and manpower is liberated. And the application range is wide, the quality inspection speed is high, and the working efficiency is high.

FIG. 7 schematically shows a block diagram of a testing device according to an embodiment of the disclosure.

As shown in fig. 7, the test apparatus 700 may include a response module 710, and a first transmission module 720.

A response module 710, configured to, in response to a request for obtaining a task from a client, determine a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request.

The first sending module 720 is configured to send the target test task and the target task rule to the client, so as to execute the target test task based on the target task rule.

According to an embodiment of the present disclosure, the testing apparatus may further include a first creating module, a first storing module, a second creating module, a second storing module, and a marking module.

The task rule creating device comprises a first creating module and a second creating module, wherein the task rule identification information of the task rule comprises a user identification information field, so that the target task rule is determined from the task rule based on the target user identification information and the user identification information field.

And the first storage module is used for storing the task rule into the cache partition.

And the second creating module is used for creating the task queue, wherein the task queue identification information of the task queue comprises a user identification information field, so that a target task rule is determined from the task queue based on the target user identification information and the user identification information field.

And the marking module is used for marking the task to form a test task.

And the second storage module is used for storing the test task into the task queue.

According to an embodiment of the present disclosure, the response module may include a first determination unit, a second determination unit, a third determination unit, and a fourth determination unit.

The first determining unit is used for determining a target cache partition from the cache partitions.

And the second determining unit is used for determining a target task rule associated with the target user identification information from the plurality of task rules in the target cache partition based on the target user identification information.

A third determining unit, configured to determine, based on the target user identification information, target queue identification information associated with the target rule identification information.

And the fourth determining unit is used for determining a target task queue corresponding to the target queue identification information from the plurality of task queues in the target cache partition based on the target queue identification information so as to determine a target test task from the target task queue.

According to an embodiment of the present disclosure, the first determining unit may include an identifying subunit and a determining subunit.

And the identification subunit is used for responding to a request of a user from the client to acquire the task and identifying the available state of the cache partition in the cache.

And the determining subunit is used for determining the cache partition as the target cache partition under the condition that the available state of the cache partition is determined to be the enabled state.

According to an embodiment of the present disclosure, the testing apparatus may further include a number determination module, a calculation module, and a second transmission module.

The number determining module is used for determining the number of the target testing tasks which are sent to the client and the number of the on-line tasks, wherein the on-line tasks are non-testing tasks.

And the calculation module is used for calculating the quantity proportion between the target test task which is sent to the client and the on-line task which is sent to the client.

And the second sending module is used for sending the target test task and the target task rule to the client according to a preset sending rule under the condition that the quantity proportion is smaller than the preset proportion threshold value.

According to the embodiment of the disclosure, the testing device may further include an obtaining module and a comparing module.

And the acquisition module is used for acquiring a test result from the client, wherein the test result is a result obtained by executing the target test task based on the target task rule.

And the comparison module is used for comparing the test result with the calibration result of the target test task.

According to an embodiment of the present disclosure, the content to be processed included in the target test task includes at least one of: image, text, video, audio.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

According to an embodiment of the present disclosure, an electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.

According to an embodiment of the present disclosure, a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described above.

According to an embodiment of the disclosure, a computer program product comprising a computer program which, when executed by a processor, implements the method as described above.

FIG. 8 illustrates a schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the apparatus 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The calculation unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

A number of components in the device 800 are connected to the I/O interface 805, including: an input unit 806, such as a keyboard, a mouse, or the like; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, or the like; and a communication unit 809 such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Computing unit 801 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. The calculation unit 801 executes the respective methods and processes described above, such as the test method. For example, in some embodiments, the testing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and/or installed onto device 800 via ROM 802 and/or communications unit 809. When loaded into RAM 803 and executed by computing unit 801, a computer program may perform one or more steps of the testing method described above. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the testing method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method of testing, comprising:

responding to a request for acquiring a task from a client, and determining a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request; and

and sending the target testing task and the target task rule to the client so as to execute the target testing task based on the target task rule.

2. The method of claim 1, further comprising:

creating a task rule, wherein task rule identification information of the task rule comprises a user identification information field, so as to determine the target task rule from the task rule based on the target user identification information and the user identification information field;

storing the task rule into a cache partition;

creating a task queue, wherein task queue identification information of the task queue comprises the user identification information field, so as to determine the target task rule from the task queue based on the target user identification information and the user identification information field;

marking the task to form a test task; and

and storing the test task into the task queue.

3. The method of claim 2, wherein the determining, in response to a request from a client to retrieve a task, a target test task and a target task rule associated with target user identification information based on the target user identification information included in the request comprises:

determining a target cache partition from the cache partitions;

determining a target task rule associated with the target user identification information from a plurality of task rules in the target cache partition based on the target user identification information;

determining target queue identification information associated with the target rule identification information based on the target user identification information; and

and determining a target task queue corresponding to the target queue identification information from a plurality of task queues in the target cache partition based on the target queue identification information so as to determine the target test task from the target task queue.

4. The method of claim 3, wherein the determining a target cache partition from the cache partitions comprises:

identifying an available state of the cache partition in a cache in response to a request from a user of the client to retrieve a task;

determining the cache partition as a target cache partition if the availability status of the cache partition is determined to be enabled.

5. The method of claim 1, further comprising:

determining the number of the target testing tasks and the number of the on-line tasks which have been sent to the client, wherein the on-line tasks are non-testing tasks;

calculating a quantity ratio between the target test task which has been sent to the client and the on-line task which has been sent to the client;

and under the condition that the quantity proportion is smaller than a preset proportion threshold value, sending the target test task and the target task rule to the client according to a preset sending rule.

6. The method of claim 1, further comprising:

obtaining a test result from a client, wherein the test result is a result obtained by executing the target test task based on the target task rule; and

and comparing the test result with the proofreading result of the target test task.

7. The method of any of claims 1 to 6, the content to be processed included in the target test task comprising at least one of:

image, text, video, audio.

8. A test apparatus, comprising:

the response module is used for responding to a request for acquiring a task from a client, and determining a target test task and a target task rule which are associated with target user identification information based on the target user identification information included in the request; and

the first sending module is used for sending the target testing task and the target task rule to the client so as to execute the target testing task based on the target task rule.

9. The apparatus of claim 8, further comprising:

a first creating module, configured to create a task rule, where task rule identification information of the task rule includes a user identification information field, so as to determine the target task rule from the task rule based on the target user identification information and the user identification information field;

the first storage module is used for storing the task rule into a cache partition;

a second creating module, configured to create a task queue, where task queue identification information of the task queue includes the user identification information field, so as to determine the target task rule from the task queue based on the target user identification information and the user identification information field;

the marking module is used for marking the task to form a test task; and

10. The apparatus of claim 9, wherein the response module comprises:

a first determining unit, configured to determine a target cache partition from the cache partitions;

a second determining unit, configured to determine, based on the target user identification information, a target task rule associated with the target user identification information from a plurality of task rules in the target cache partition;

a third determining unit configured to determine, based on the target user identification information, target queue identification information associated with the target rule identification information; and

a fourth determining unit, configured to determine, based on the target queue identification information, a target task queue corresponding to the target queue identification information from multiple task queues in the target cache partition, so as to determine the target test task from the target task queue.

11. The apparatus of claim 10, wherein the first determining unit comprises:

the identification subunit is used for responding to a request of a user from the client to acquire a task and identifying the available state of the cache partition in the cache; and

the determining subunit is configured to determine the cache partition as a target cache partition if it is determined that the available state of the cache partition is an enabled state.

12. The apparatus of claim 8, further comprising:

the quantity determining module is used for determining the quantity of the target testing tasks which are sent to the client and the quantity of the on-line tasks, wherein the on-line tasks are non-testing tasks;

the calculation module is used for calculating the quantity proportion between the target test task which is sent to the client and the on-line task which is sent to the client;

and the second sending module is used for sending the target test task and the target task rule to the client according to a preset sending rule under the condition that the quantity proportion is smaller than a preset proportion threshold value.

13. The apparatus of claim 8, further comprising:

the acquisition module is used for acquiring a test result from a client, wherein the test result is a result obtained by executing the target test task based on the target task rule; and

and the comparison module is used for comparing the test result with the comparison result of the target test task.

14. The apparatus according to any one of claims 8 to 13, the content to be processed included in the target test task comprising at least one of:

image, text, video.

15. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.

17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.