CN115904736A - Task execution method and device, storage medium and computer equipment - Google Patents
Task execution method and device, storage medium and computer equipment Download PDFInfo
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Abstract
The application provides a task execution method, a task execution device, a storage medium and computer equipment, wherein the method comprises the following steps: when the digital robot is in an idle state, a first data table generated by the iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table; positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task; when the target task is executed, determining an execution result of the target task; and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to the idle state. According to the method and the device, the task state of each task in the data table is inquired through the digital robot, the target task to be executed is positioned according to the task state of each task, repeated execution of the executed task and omission of the task which is not executed are avoided to a certain extent, so that the positioning probability of the target task is improved, and the success rate of automatic execution of the task is increased.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for task execution, a storage medium, and a computer device.
Background
With the rapid development of information technology, more and more task data are generated on the internet. Frequently and repeatedly operating one or more processes in the process of processing task data, if a series of repeated operations are manually performed by a user, not only is manpower occupied, but also the requirement on the professional level of the user is high, and further the efficiency and the accuracy of task execution are influenced.
Therefore, in the prior art, application development projects are generally adopted to automatically process task data, so that on one hand, the efficiency of task execution can be improved, and on the other hand, the accuracy of task execution can be ensured, but the existing automatic task execution method still has the problem of low success rate.
Disclosure of Invention
The present application aims to solve at least one of the above technical drawbacks, in particular, the drawback of low success rate of task automation in the prior art.
In a first aspect, the present application provides a task execution method, including:
when the digital robot is in an idle state, a first data table generated by an iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table;
positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task;
when the target task is executed, determining an execution result of the target task;
and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to an idle state.
In one embodiment, the step of locating a target task to be executed in the first data table according to a task state of each task and executing the target task includes:
determining each task to be executed with a task state being empty or not executed according to the task state of each task in the first data table;
determining the target task according to the creation time of each task to be executed;
and executing the target task, and changing the task state of the target task into the execution state.
In one embodiment, the step of determining the target task according to the creation time of each task to be executed includes:
acquiring the creation time of each task to be executed, and arranging each task to be executed according to the sequence of the creation time;
and determining the task to be executed with the earliest creation time as the target task according to the arrangement result.
In one embodiment, the step of changing the task state of the target task in the first data table through the target interface based on the execution result includes:
if the target task is successfully executed, changing the task state of the target task in the first data table into the successful execution through the target interface;
and if the target task fails to be executed, changing the task state of the target task in the first data table into the failure to be executed through the target interface.
In one embodiment, if the target task is successfully executed, the step of changing the task state of the target task in the first data table to be successfully executed through the target interface includes:
and if the target task is successfully executed, assigning the result data of the target task to a result field of the target task in the first data table through the target interface.
In one embodiment, each task of the first data table is created by the user side through a second data table and a second data table link, and the initial task state of each task in the first data table is modified by the user side through the first data table link;
the second data table, the second data table link and the first data table link are generated by the iPaaS platform, the second data table is used for synchronizing all tasks sent by the user side to the first data table, the first data table link is used for connecting the user side and the first data table, and the second data table link is used for connecting the user side and the second data table.
In a second aspect, the present application provides a task execution device, the device comprising:
the system comprises a first data table query module, a first data table processing module and a second data table processing module, wherein the first data table query module is used for querying a first data table generated by an iPaaS platform through a target interface when the digital robot is in an idle state so as to acquire the task state of each task in the first data table;
the target task positioning module is used for positioning a target task to be executed in the first data table according to the task state of each task and executing the target task;
the execution result determining module is used for determining the execution result of the target task when the target task is executed;
and the task state changing module is used for changing the task state of the target task in the first data table through the target interface based on the execution result, and the digital robot returns to an idle state.
In one embodiment, the target task location module comprises:
the to-be-executed task determining submodule is used for determining each to-be-executed task of which the task state is empty or not executed according to the task state of each task in the first data table;
the target task determining submodule is used for determining the target task according to the creation time of each task to be executed;
and the target task execution submodule is used for executing the target task and changing the task state of the target task into the execution state.
In a third aspect, the present application provides a storage medium having stored therein computer readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the task execution method according to any one of the above embodiments.
In a fourth aspect, the present application provides a computer device comprising: one or more processors, and a memory;
the memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the task execution method of any of the embodiments described above.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a task execution method, a task execution device, a storage medium and computer equipment, wherein the method comprises the following steps: when the digital robot is in an idle state, a first data table generated by an iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table; positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task; when the target task is executed, determining an execution result of the target task; and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to an idle state. The digital robot can process a large number of repeated and rule-based workflow tasks, the task execution efficiency is improved, relatively high benefits in the aspects of performance, reliability and flexibility can be obtained under the condition of low cost, data services in an iPaaS (Integration Platform as a Service) Platform are used for quickly constructing a data table, the digital robot inquires the task state of each task in the data table, a target task to be executed is positioned according to the task state of each task, repeated execution of the executed task and omission of the unexecuted task are avoided to a certain extent, the positioning probability of the target task is improved, and the success rate of automatic execution of the task is increased. Meanwhile, by innovatively combining the digital robot and the online data sheet, the task queue operation based on the service is realized, and the ultra-automatic experience of the digital robot is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a task execution method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a task execution device according to an embodiment of the present application;
fig. 3 is a schematic internal structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In one embodiment, the present application provides a method for task execution, and the following embodiments are described by way of example of the method applied to a digital robot. It is to be understood that the digital robot executing the task execution method may be a single digital robot, or may be a digital robot cluster composed of a plurality of digital robots, which is not specifically limited in this application.
As shown in fig. 1, the method specifically includes the following steps:
s101: when the digital robot is in an idle state, a first data table generated by an iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table.
In this step, the digital robot queries the task state of each task in the first data table through the target interface at idle. The first data table is generated by an iPaaS platform, the first data table comprises but is not limited to field names, field sequences, field types and field lengths, and values of the task state field comprise null, unexecuted, in-execution, execution completion and execution failure.
Further, the iPaaS platform refers to a set of cloud services that facilitate development, execution, and integration of flow governance with any local (on-premises) and cloud-based processes, services, applications, and data connections, which can be performed in independent or multiple intersecting organizations, and the present application mainly uses data services in the iPaaS platform to build data tables quickly. RPA digital robot (robot Process Automation) refers to the use of software Automation in various industries to implement operations originally performed by human-operated computers, which allows software robots to automatically Process large numbers of repetitive, rule-based workflow tasks. A robot Cluster (Robotic Cluster) is a group of mutually independent digital robots deployed on computers and interconnected by a high-speed network, which constitute a group and are managed in a single system mode. When a user interacts with a robot cluster, the robot cluster appears as an independent digital robot. The robot cluster configuration is used for improving the availability and the scalability, and relatively high benefits in the aspects of performance, reliability and flexibility can be obtained at low cost, and the task scheduling is the core technology in the robot cluster system.
S102: and positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task.
In this step, a target task to be executed in the first data table is obtained according to the task state of each task, and the target task is executed by the digital robot.
S103: and when the target task is completely executed, determining an execution result of the target task.
In this step, when the digital robot executes the target task, the execution result of the target task can be determined, and the execution result includes the execution success and the execution failure.
S104: and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to an idle state.
In the step, according to the execution result of the target task by the data robot, the task state of the target task in the first data table is changed through the target interface so as to ensure that the task state in the first data table is the latest state. And the digital robot returns to an idle state after the execution is finished, and immediately executes the next piece of task data if the task data meeting the conditions exist.
Further, in the robot cluster, each robot executes the task data meeting the conditions in the first data table when the robot is idle, and the robot cluster executes the tasks simultaneously so as to ensure the efficiency of task execution.
The application provides a task execution method, a task execution device, a storage medium and computer equipment, wherein the method comprises the following steps: when the digital robot is in an idle state, a first data table generated by an iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table; positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task; when the target task is executed, determining an execution result of the target task; and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to an idle state. The digital robot can process a large number of repeated and rule-based workflow tasks, the task execution efficiency is improved, relatively high benefits in the aspects of performance, reliability and flexibility can be obtained under the condition of low cost, data services in an iPaaS Platform (Integration Platform as a Service) are used for quickly constructing a data table, the digital robot inquires the task state of each task in the data table, a target task to be executed is positioned according to the task state of each task, repeated execution of the executed task and omission of unexecuted tasks are avoided to a certain extent, the positioning probability of the target task is improved, and the success rate of automatic execution of the task is increased. Meanwhile, by the innovative combination of the digital robot and the online data table, the task queue operation based on the service is realized, and the ultra-automatic experience of the digital robot is improved.
In an embodiment, the step of locating a target task to be executed in the first data table according to a task state of each task and executing the target task includes:
determining each task to be executed with a task state being empty or not executed according to the task state of each task in the first data table;
determining the target task according to the creation time of each task to be executed;
and executing the target task, and changing the task state of the target task into the execution state.
Specifically, the task state of each task in the first data table is obtained, the task with the task state being empty or not executed is the task to be executed, the target task to be executed by the digital robot is determined according to the creation time of each task to be executed, and the task state of the target task is changed to be executed when the target task is executed.
It can be understood that the target task is determined by the task state and the task creation time, so that the uniqueness of the target task can be ensured, meanwhile, the state of the target task is changed when the task is executed, the task state in the first data table is ensured to be the latest state, and the situation that the target task is repeatedly acquired and executed cannot occur when the digital robot in the idle state in the robot cluster acquires the task to be executed.
In one embodiment, the step of determining the target task according to the creation time of each task to be executed includes:
acquiring the creation time of each task to be executed, and arranging each task to be executed according to the sequence of the creation time;
and determining the task to be executed with the earliest creation time as the target task according to the arrangement result.
Specifically, the creation time of each task to be executed is obtained, the tasks to be executed are sequenced according to the creation time, the task created firstly is arranged at the forefront, the task created latest is arranged at the rearmost, and the task to be executed with the earliest creation time is determined as the target task according to the sequencing result.
It will be appreciated that the target tasks are determined on a first-in-first-out basis to ensure that each task is executed in a timely manner.
In one embodiment, the step of changing the task state of the target task in the first data table through the target interface based on the execution result includes:
if the target task is successfully executed, changing the task state of the target task in the first data table into the successful execution through the target interface;
and if the target task fails to be executed, changing the task state of the target task in the first data table into the failure to be executed through the target interface.
Specifically, if the target task is successfully executed, changing the value of a task state field corresponding to the target task in the first data table into the value of the task state field corresponding to the target task through the target interface; and if the target task fails to execute, changing the value of the task state field corresponding to the target task in the first data table into the execution failure through the target interface.
It can be understood that the task state of the target task is changed after the execution is finished, so that the latest state of the task state in the first data table can be ensured, the digital robot can accurately position the task to be executed next time, and the success rate of task execution is improved.
In an embodiment, if the target task is successfully executed, the step of changing the task state of the target task in the first data table to be successfully executed through the target interface includes:
and if the target task is successfully executed, assigning the result data of the target task to a result field of the target task in the first data table through the target interface.
Specifically, when the target task is successfully executed, result data is generated, and the result data of the target task is assigned to a result field of the target task in the first data table through the target interface, wherein the content of the result data is determined according to the actual situation.
It can be understood that, the result data is assigned to the result field of the target task in the first data table through the target interface, so that the user can further grasp the specific situation of task execution so as to adjust the task in the first data table.
In one embodiment, each task of the first data table is created by the user side through a second data table and a second data table link, and the initial task state of each task in the first data table is modified by the user side through the first data table link;
the second data table, the second data table link and the first data table link are generated by the iPaaS platform, the second data table is used for synchronizing all tasks sent by the user side to the first data table, the first data table link is used for connecting the user side and the first data table, and the second data table link is used for connecting the user side and the second data table.
Specifically, the iPaaS platform generates a first data table, a second data table, a first data table link and a second data table link, the first data table is used for displaying all task data and result data, the second data table is used for enabling a user to input task data, the first data table link and the second data table link are used for connecting the user and the first data table with the second data table, namely the user interacts with the first data table through the first data table link, modifies the task state of each task in the first data table, interacts with the second data table through the second data table link, and newly adds task data in the second data table.
And the newly added task data in the second data table is synchronized to the first data table, and the task data in the second data table does not contain the task state.
Further, the iPaaS platform also generates a form matched with a second data table, wherein the second data table can input task data in batch, and the form can input the task data once.
It can be understood that a plurality of data tables and corresponding data table links generated by the iPaaS platform are used, and the contents in the data tables are interacted through the data table links, so that the flexibility of task data management is improved.
The following describes the task execution device provided in the embodiments of the present application, and the task execution device described below and the task execution method described above may be referred to correspondingly.
In one embodiment, the present application provides a task execution device. As shown in fig. 2, the apparatus specifically includes a first data table querying module 201, a target task locating module 202, an execution result determining module 203, and a task state changing module 204, where:
the first data table query module 201 is configured to query a first data table generated by an iPaaS platform through a target interface when the digital robot is in an idle state, so as to obtain a task state of each task in the first data table;
a target task positioning module 202, configured to position a target task to be executed in the first data table according to a task state of each task, and execute the target task;
an execution result determining module 203, configured to determine an execution result of the target task when the target task is executed;
a task state changing module 204, configured to change, based on the execution result, the task state of the target task in the first data table through the target interface, and the digital robot returns to an idle state.
In one embodiment, the target task positioning module 202 includes a task to be executed determining sub-module, a target task determining sub-module, and a target task executing sub-module, where:
the to-be-executed task determining submodule is used for determining each to-be-executed task of which the task state is empty or not executed according to the task state of each task in the first data table;
the target task determining submodule is used for determining the target task according to the creation time of each task to be executed;
and the target task execution submodule is used for executing the target task and changing the task state of the target task into the execution state.
In one embodiment, the target task determination submodule includes a creation time acquisition unit and a target task determination unit, wherein:
the creation time acquisition unit is used for acquiring the creation time of each task to be executed and arranging each task to be executed according to the sequence of the creation time;
and the target task determining unit is used for determining the task to be executed with the earliest creation time as the target task according to the arrangement result.
In one embodiment, the task state change module 204 includes a first task state change submodule and a second task state change submodule, wherein:
the first task state changing sub-module is used for changing the task state of the target task in the first data table into a successful execution state through the target interface if the target task is successfully executed;
and the second task state changing submodule is used for changing the task state of the target task in the first data table into execution failure through the target interface if the target task fails to execute.
In one embodiment, the first task state change submodule comprises a result data evaluation unit, wherein:
and the result data assignment unit is used for assigning the result data of the target task to the result field of the target task in the first data table through the target interface if the target task is successfully executed.
In one embodiment, each task of the first data table is created by the user side through a second data table and a second data table link, and the initial task state of each task in the first data table is modified by the user side through the first data table link;
the second data table, the second data table link and the first data table link are generated by the iPaaS platform, the second data table is used for synchronizing all tasks sent by the user side to the first data table, the first data table link is used for connecting the user side and the first data table, and the second data table link is used for connecting the user side and the second data table.
In one embodiment, the present application further provides a storage medium having computer-readable instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform the steps of the task execution method as described in any one of the above embodiments.
In one embodiment, the present application further provides a computer device having stored therein computer readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the task execution method as described in any one of the above embodiments.
Fig. 3 is a schematic diagram illustrating an internal structure of a computer device according to an embodiment of the present disclosure, and the computer device 300 may be provided as a server. Referring to fig. 3, a computer device 300 includes a processing component 302 that further includes one or more processors and memory resources, represented by memory 301, for storing instructions, such as application programs, that are executable by the processing component 302. The application programs stored in memory 301 may include one or more modules that each correspond to a set of instructions. Further, the processing component 302 is configured to execute instructions to perform the task execution methods of any of the embodiments described above.
The computer device 300 may also include a power component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input output (I/O) interface 305. The computer device 300 may operate based on an operating system stored in memory 301, such as Windows Server, mac OS XTM, unix, linux, free BSDTM, or the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Finally, it should also be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, the embodiments may be combined as needed, and the same and similar parts may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of task execution, the method comprising:
when the digital robot is in an idle state, a first data table generated by an iPaaS platform is inquired through a target interface so as to obtain the task state of each task in the first data table;
positioning a target task to be executed in the first data table according to the task state of each task, and executing the target task;
when the target task is executed, determining an execution result of the target task;
and changing the task state of the target task in the first data table through the target interface based on the execution result, and returning the digital robot to an idle state.
2. The task execution method according to claim 1, wherein the step of locating a target task to be executed in the first data table according to the task state of each task and executing the target task comprises:
determining each task to be executed with a task state being empty or not executed according to the task state of each task in the first data table;
determining the target task according to the creation time of each task to be executed;
and executing the target task, and changing the task state of the target task into the execution state.
3. The task execution method according to claim 2, wherein the step of determining the target task according to the creation time of each task to be executed comprises:
acquiring the creation time of each task to be executed, and arranging each task to be executed according to the sequence of the creation time;
and determining the task to be executed with the earliest creation time as the target task according to the arrangement result.
4. The task execution method according to claim 1, wherein the step of changing the task state of the target task in the first data table through the target interface based on the execution result comprises:
if the target task is successfully executed, changing the task state of the target task in the first data table into a successful execution state through the target interface;
and if the target task fails to be executed, changing the task state of the target task in the first data table into a failure to be executed through the target interface.
5. The task execution method of claim 4, wherein if the target task is successfully executed, the step of changing the task state of the target task in the first data table to be successfully executed through the target interface comprises:
and if the target task is successfully executed, assigning the result data of the target task to a result field of the target task in the first data table through the target interface.
6. The task execution method according to any one of claims 1 to 4, wherein each task of the first data table is created by a user side through a second data table and a second data table link, and an initial task state of each task in the first data table is modified by the user side through the first data table link;
the second data table, the second data table link and the first data table link are generated by the iPaaS platform, the second data table is used for synchronizing all tasks sent by the user side to the first data table, the first data table link is used for connecting the user side and the first data table, and the second data table link is used for connecting the user side and the second data table.
7. A task execution apparatus, characterized in that the apparatus comprises:
the system comprises a first data table query module, a first data table processing module and a second data table processing module, wherein the first data table query module is used for querying a first data table generated by an iPaaS platform through a target interface when the digital robot is in an idle state so as to acquire the task state of each task in the first data table;
the target task positioning module is used for positioning a target task to be executed in the first data table according to the task state of each task and executing the target task;
the execution result determining module is used for determining the execution result of the target task when the target task is executed;
and the task state changing module is used for changing the task state of the target task in the first data table through the target interface based on the execution result, and the digital robot returns to an idle state.
8. The task execution device of claim 7, wherein the target task location module comprises:
the to-be-executed task determining submodule is used for determining each to-be-executed task of which the task state is empty or not executed according to the task state of each task in the first data table;
the target task determining submodule is used for determining the target task according to the creation time of each task to be executed;
and the target task execution submodule is used for executing the target task and changing the task state of the target task into the execution state.
9. A storage medium, characterized by: the storage medium has stored therein computer-readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the task execution method of any one of claims 1 to 6.
10. A computer device, comprising: one or more processors, and a memory;
the memory has stored therein computer-readable instructions that, when executed by the one or more processors, perform the steps of the task execution method of any of claims 1 to 6.
Priority Applications (1)
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