CN112882769A - Skill pack data processing method, skill pack data processing device, computer equipment and storage medium - Google Patents
Skill pack data processing method, skill pack data processing device, computer equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0482—Interaction with lists of selectable items, e.g. menus
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44521—Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
The application relates to a skill pack data processing method, a skill pack data processing device, a computer device and a storage medium. The method comprises the following steps: in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list; determining a target skill from a candidate skill list corresponding to the target skill package; creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example; and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance. By adopting the method, the skill can be separated from the robot client, so that the robot client does not need to modify and expand the codes of the robot client greatly when developing the skill service, and the development period is short.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a skill pack data processing method and apparatus, a computer device, and a storage medium.
Background
The skill is loaded by the host program, can independently complete a certain or a series of functional modules, can be regarded as a plug-in, must be loaded by the host program, and cannot independently run. In the robot client, for the skill development, the service development needs to be combined with the code of the robot client, that is, the skill development needs to be performed in the robot client, so as to display the skill. However, in this way, if the skills in the robot client need to be updated or removed, the whole robot client needs to be developed again, the development period is long, and a lot of manpower, material resources and financial resources are needed.
Disclosure of Invention
Therefore, in order to solve the above technical problems, it is necessary to provide a skill packet data processing method, device, computer device, and storage medium, which can separate skills from a robot client, so that the robot client does not need to modify and expand a large amount of codes of the robot client during development of a skill service, and a development cycle is short.
A skill pack data processing method, the method comprising:
in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list;
determining a target skill from a candidate skill list corresponding to the target skill package;
creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example;
and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
In one embodiment, before obtaining the target skill pack, the method comprises: sending a target skill pack calling request to a skill pack service platform so that the skill pack service platform obtains a developed candidate skill pack set, searching a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returning; and the robot client receives the candidate skill pack and stores the candidate skill pack to the local.
In one embodiment, creating a target skill instance corresponding to a target skill, and performing target skill configuration on the target skill instance to obtain a configured target skill instance includes: displaying a target skill interface corresponding to the target skill; creating a target skill example for the target skill on a target skill interface to obtain a created target skill example; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, the creating of the target skill instance for the target skill in the target skill interface to obtain the created target skill instance includes: in the target skill interface, creating a new skill object according to the creation interface; initializing the new skill object to obtain an initialized skill object; and performing skill object data filling on the initialized skill object to obtain a target skill instance.
In one embodiment, creating a target skill instance corresponding to a target skill, and performing target skill configuration on the target skill instance to obtain a configured target skill instance includes: acquiring a target skill example corresponding to the target skill packet; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, acquiring a target skill instance corresponding to a target skill package, and performing target skill configuration on the target skill instance to obtain a configured target skill instance includes: reading a target skill instance corresponding to the target skill packet according to the loading interface; displaying a target skill instance configuration interface corresponding to the target skill instance; editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to the skip interface, and realizing storage of the editing result of the target skill instance configuration interface according to the storage interface to obtain the configured target skill instance.
In one embodiment, the skill set data processing method further comprises: acquiring a target skill pack removing request in a robot client executing a target skill pack; and removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removing request to obtain the removed robot client terminal.
A skill pack data processing apparatus, the apparatus comprising:
the skill pack acquisition module is used for acquiring a target skill pack from the local in the robot client, and the target skill pack comprises a candidate skill list;
the target skill determination module is used for determining a target skill from a candidate skill list corresponding to the target skill package;
the skill instance creating module is used for creating a target skill instance corresponding to the target skill, and performing target skill configuration on the target skill instance to obtain a configured target skill instance;
and the skill instance issuing module is used for issuing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list;
determining a target skill from a candidate skill list corresponding to the target skill package;
creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example;
and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list;
determining a target skill from a candidate skill list corresponding to the target skill package;
creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example;
and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
According to the skill package data processing method, the skill package data processing device, the computer equipment and the storage medium, in the robot client, a target skill package is obtained from the local, and the target skill package comprises a candidate skill list; determining a target skill from a candidate skill list corresponding to the target skill package; creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example; and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
Therefore, the robot client acquires a developed skill pack from the skill pack service platform in advance and stores the skill pack to the local, when the robot client needs a certain skill, the robot client calls a target skill pack from the local, determines a target skill from a candidate skill list corresponding to the target skill pack, creates a target skill instance for the target skill, configures the created target skill instance, distributes the configured target skill instance to the skill pack service platform, and reads and executes the target skill pack from a platform robot corresponding to the skill pack service platform. The technical ability and the codes of the robot client can be separated, the robot client does not need to modify and expand the codes of the robot client in a large amount when developing the technical ability, and a corresponding technical ability package is directly installed, so that the development difficulty is reduced, and the development period is shortened.
Drawings
FIG. 1 is a diagram of an application environment of a skills package data processing method according to an embodiment;
FIG. 2 is a flow diagram illustrating a method for skill pack data processing in one embodiment;
fig. 2A is a configuration interface of a target skill corresponding to a target skill package in a robot client in one embodiment;
FIG. 3 is a schematic flow chart of the candidate skill set receiving step in one embodiment;
FIG. 4 is a flowchart illustrating the target skill instance configuration step in one embodiment;
FIG. 5 is a flowchart of the target skill instance creation step in one embodiment;
FIG. 6 is a flowchart illustrating the target skill instance configuration step in one embodiment;
FIG. 7 is a flowchart illustrating the target skill instance configuration step in one embodiment;
FIG. 8 is a flowchart of a skill set data processing method in one embodiment;
FIG. 9 is a block diagram of a skill pack data processing apparatus in one embodiment;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The skill set data processing method provided by the application can be applied to the application environment shown in fig. 1. Wherein the robot client 102 communicates with the skill pack service platform 104 via a network. The robot client 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the skill pack service platform 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
Specifically, the robot client 102 may obtain the developed candidate skill pack from the skill pack service platform 104 in advance, and store the candidate skill pack to the local disk. When a certain skill needs to be added to the robot client 102, a target skill package is obtained from candidate skill packages of the local disk, the target skill package comprises a candidate skill list, a target skill is determined from the candidate skill list corresponding to the target skill package, a target skill instance corresponding to the target skill is created, target skill configuration is performed on the target skill instance to obtain a configured target skill instance, and the configured target skill instance is issued to the skill package service platform 104, so that a platform robot corresponding to the skill package service platform 104 reads the configured target skill instance and executes the configured target skill instance.
In one embodiment, as shown in fig. 2, there is provided a skill set data processing method, which is exemplified by the application of the method to the robot client in fig. 1, and includes the following steps:
in step 202, in the robot client, a target skill pack is obtained locally, and the target skill pack comprises a candidate skill list.
The robot client is a client where the robot is located, and the robot client may be an application program and operates at a related terminal. The robot client locally can store candidate skill packages, and when the robot client needs a certain skill, a target skill package is called from the local candidate skill packages. The candidate skill pack local to the robot client is obtained by the robot client from a skill pack service platform in advance.
And the skill pack service platform is used for storing all developed skill packs, and a skill pack developer can configure and develop candidate skill packs according to business requirements, product requirements or actual application scenes and upload the developed candidate skill packs to the skill pack service platform. The skill is loaded by the host program, a module which can independently complete a certain function or a series of functions can be regarded as a plug-in, and the skill must be loaded by the host program and cannot be independently operated. The skill package is a compressed file and contains a component part and a plug-in part, the plug-in part is a specific dll file developed and completed by a developer according to a standard plug-in interface or a plug-in base class, and the component part is specific configuration information of components of the application in the process related to the skill, which is developed by other developers.
The standard plug-in interface comprises a creation interface used for creating a new skill instance, a storage interface used for solidifying the current modification of the skill to a disk, a loading interface used for reading the stored skill for the user to edit and modify again, and a jump interface, wherein the skill content allows the user to edit through a plurality of skill specific editing interfaces according to convention, and the interface is divided into a previous step interface, a next step interface and a specific jump page interface used for jumping the current skill editing page.
The plug-in base class encodes the functions of the interface according to general settings, and if a developer only needs to simply develop the functions, the developer only needs to develop the contents on the basis of the plug-in without paying attention to the realization of a specific functional interface, and the specific realization is described as follows: and the storage interface automatically scans data endowed with Output characteristics in the plug-in when being called, and stores the data to a disk according to a type rule. And loading an interface, wherein the implementation can read out the data stored in the disk and analyze the data according to the type rule when being called. And analyzing the current skill data attribute, and matching the analyzed data to the current skill data for coverage. And the skip interface is used for switching the interface displayed corresponding to the current model based on the WPF and MVVM modes. Wherein, the storage check and prompt are not performed during the switching. Among them, wpf (Windows Presentation foundation) is a Windows-based user interface framework launched by microsoft. The MVVM is a shorthand of a Model-View-ViewModel, abstracts the state and behavior of the View (View) therein, and separates a View UI (interface design) from business logic.
Specifically, in the robot client, a skill pack calling request can be generated in advance through related application triggering, wherein the skill pack calling request is used for requesting the skill pack service platform to call a corresponding candidate skill pack. Further, the candidate skill set is stored locally by the robot client, and can be stored to a local disk. When a certain skill is needed subsequently, the target skill pack is called from the candidate skill packs of the local disk. The skill pack calling request may carry a certain skill pack identifier or may not carry any skill pack identifier.
After the robot client triggers and generates a skill packet calling request, the robot client sends the skill packet calling request to a skill packet service platform, and the skill packet calling request can carry a certain skill packet identifier or not carry any skill packet identifier.
Specifically, if a target skill pack calling request carries a certain skill pack identifier, the skill pack identifier is used for uniquely identifying the corresponding skill pack, different skill pack identifiers correspond to different skill packs, and the matched skill pack can be searched according to the skill pack identifier. After receiving the skill pack calling request, the skill pack service platform can search a candidate skill pack matched with the skill pack identifier from the candidate skill pack set according to the skill pack calling request, and returns the candidate skill pack to the robot client side for local disk storage.
If the target skill pack calling request does not carry any skill pack identification, after receiving the skill pack calling request, the skill pack service platform may determine a candidate skill pack matched with the actual business requirement, the product requirement or the actual application scene from a candidate skill pack set according to the skill pack calling request, or may randomly determine a candidate skill pack from a developed candidate skill pack set, and finally, the skill pack service platform returns the candidate skill pack to the robot client, and the robot client performs local disk storage.
And step 204, determining the target skill from the candidate skill list corresponding to the target skill package.
The skill is loaded by the host program, and a module which can independently complete a certain function or a series of functions can be regarded as a plug-in, and the module must be loaded by the host program and cannot independently run. The skill package is a compressed file and contains a component part and a plug-in part, the plug-in part is a specific dll file developed and completed by a developer according to a standard plug-in interface or a plug-in base class, and the component part is specific configuration information of components of the application in the process related to the skill, which is developed by other developers. The robot client can be used as a host program of skills, namely, the target skills corresponding to the target skill package can be loaded through the robot client.
Specifically, after the robot client calls a target skill package from the local disk, the target skill package may be displayed through the front-end interface, the target skill package includes a candidate skill list, the target skill package may include at least one candidate skill, and the candidate skills are displayed through the front-end interface of the robot client. The user can determine the target skill from the candidate skill list displayed by the robot client through the actual business requirement, the product requirement or the actual application scene.
And step 206, creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example.
And step 208, releasing the configured target skill instance to a skill pack service platform, so that the platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the same.
After receiving the target skill package, the robot client can display the target skill package through the robot client, wherein the target skill package is a compressed file and comprises a component part and a plug-in part, the plug-in part is a specific dll file developed and completed by a developer according to a standard plug-in interface or a plug-in base class, and the component part is specific configuration information of components of the application in the process related to the skill and developed by other developers. Thus, a target skill pack may be exhibited by the robotic client front end.
Specifically, the robot client displays the target skill package through the front end, and after selecting a target skill from a candidate skill list in the target skill package, a target skill configuration interface corresponding to the target skill can be displayed through a front end page of the robot client, wherein a target skill instance can be created through the target skill configuration interface, editing operation is performed through the target skill instance configuration interface corresponding to the target skill instance, and skill instance configuration is performed according to actual business requirements, product requirements or actual application scenes, so that a configured target skill instance is obtained. And if the target skill instance corresponds to a plurality of sub-target skill instance configuration interfaces, editing operation needs to be performed on each sub-target skill instance configuration interface, and when all the sub-target skill instance configuration interfaces complete the editing operation, a configured target skill instance can be generated.
And finally, the robot client can release the configured target skill instance to a skill pack service platform, and the robot can read the configured target skill instance through a platform corresponding to the skill pack service platform and execute the configured target skill instance, so that business execution can be performed in the target skill instance. That is to say, after the configured target skill instance is obtained, the platform robot corresponding to the skill pack service platform may execute the configured target skill instance in the test program, execute the business process in the configured target skill instance, and the like.
In an embodiment, as shown in fig. 2A, fig. 2A shows a configuration interface of a target skill corresponding to a target skill package in a robot client in an embodiment, the robot client shown in fig. 2A obtains the target skill package from a skill package service platform, the target skill package in fig. 2A is a skill package corresponding to a data notification skill, the data notification skill is a skill, the skill is displayed by a front end of the robot client, and a data notification sub-skill corresponding to the data notification skill, that is, a skill instance corresponding to the data notification skill, may be created by operating a "new scene" control in fig. 2A. The data notification skill in fig. 2A includes 2 skill instances, which are "data notification skill 1" and "data notification skill 2" in fig. 2A, respectively. Each skill instance comprises a corresponding skill instance editing interface, the skill editing interface can comprise a plurality of sub-skill instance editing interfaces, and corresponding skill instance editing can be performed through each sub-skill instance editing interface, so that a configured target skill instance is obtained.
For example, the skill instance editing interface corresponding to the skill instance "data reporting skill 1" in fig. 2A includes 4 sub-skill instance editing interfaces, which respectively include "data acquisition", "data processing", "data presentation", and "distribution", each sub-skill instance editing interface includes corresponding skill instance editing, corresponding configuration may be performed according to actual service requirements, product requirements, or actual application scenarios, and after all skill instances are edited, a configured target skill instance is obtained.
In the skill packet data processing method, a target skill packet is locally acquired in a robot client, and the target skill packet comprises a candidate skill list; determining a target skill from a candidate skill list corresponding to the target skill package; creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example; and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
Therefore, the robot client acquires a developed skill pack from the skill pack service platform in advance and stores the skill pack to the local, when the robot client needs a certain skill, the robot client calls a target skill pack from the local, determines a target skill from a candidate skill list corresponding to the target skill pack, creates a target skill instance for the target skill, configures the created target skill instance, distributes the configured target skill instance to the skill pack service platform, and reads and executes the target skill pack from a platform robot corresponding to the skill pack service platform. The technical ability and the codes of the robot client can be separated, the robot client does not need to modify and expand the codes of the robot client in a large amount when developing the technical ability, and a corresponding technical ability package is directly installed, so that the development difficulty is reduced, and the development period is shortened.
In one embodiment, as shown in fig. 3, before obtaining the target skill pack, the method includes:
And step 304, the skill pack service platform searches a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set and returns.
And step 306, the robot client receives the candidate skill pack and stores the candidate skill pack to the local.
The skill pack service platform is used for storing all developed skill packs, and a skill pack developer can configure and develop candidate skill packs according to business requirements, product requirements or actual application scenes and upload the developed candidate skill packs to the skill pack service platform. The skill is loaded by the host program, a module which can independently complete a certain function or a series of functions can be regarded as a plug-in, and the skill must be loaded by the host program and cannot be independently operated.
The skill package is a compressed file and contains a component part and a plug-in part, the plug-in part is a specific dll file developed and completed by a developer according to a standard plug-in interface or a plug-in base class, and the component part is specific configuration information of components of the application in the process related to the skill, which is developed by other developers.
Specifically, after the robot client triggers and generates a skill pack calling request, the robot client sends the skill pack calling request to a skill pack service platform, and the skill pack calling request may or may not carry any skill pack identifier.
Specifically, if a target skill pack calling request carries a certain skill pack identifier, the skill pack identifier is used for uniquely identifying the corresponding skill pack, different skill pack identifiers correspond to different skill packs, and the matched skill pack can be searched according to the skill pack identifier. After receiving the skill pack calling request, the skill pack service platform can search a candidate skill pack matched with the skill pack identifier from the candidate skill pack set according to the skill pack calling request, and returns the candidate skill pack to the robot client side for local disk storage.
If the target skill pack calling request does not carry any skill pack identification, after receiving the skill pack calling request, the skill pack service platform may determine a candidate skill pack matched with the actual business requirement, the product requirement or the actual application scene from a candidate skill pack set according to the skill pack calling request, or may randomly determine a candidate skill pack from a developed candidate skill pack set, and finally, the skill pack service platform returns the candidate skill pack to the robot client, and the robot client performs local disk storage.
In an embodiment, as shown in fig. 4, creating a target skill instance corresponding to a target skill, and performing target skill configuration on the target skill instance to obtain a configured target skill instance, includes:
and 402, displaying a target skill interface corresponding to the target skill, and creating a target skill example for the target skill package on the target skill interface to obtain a created target skill example.
And step 404, performing target skill configuration on the target skill instance to obtain a configured target skill instance.
The target skill instance is a specific object generated after filling according to a target skill corresponding to the target skill package, and the target skill can be understood as a template, and specific data is filled according to actual business requirements, product requirements or actual application scenarios, so as to generate a specific target skill instance.
Specifically, the robot client displays the target skill instance through the front end, the target skill instance has a corresponding target skill instance configuration interface, editing operation can be performed through the target skill instance configuration interface, and skill configuration is performed according to actual business requirements, product requirements or actual application scenarios, so that a configured target skill instance is obtained. After the target skill is determined from the candidate skill list of the target skill package, a newly-built control corresponding to the target skill instance creation can be arranged on the target skill configuration interface, and the target skill instance creation can be performed on the target skill by operating the newly-built control, so that the created target skill instance is obtained. And the target skill instance also has a corresponding skill instance configuration interface, and the target skill instance can be configured through the skill instance configuration interface, so that the configured target skill instance is obtained.
For example, as shown in fig. 2A, the target skill in fig. 2A is a data reporting skill, the skill is displayed through the front end of the robot client, a target skill instance may be created by operating a "new scene" control in fig. 2A, the target skill instance may also be understood as a specific skill object corresponding to the target skill, after the target skill instance is created, a skill instance configuration interface corresponding to the target skill instance may be displayed in the robot client, the target skill instance may be configured through the skill instance configuration interface, specifically, the target skill instance may be configured in detail according to actual service requirements, product requirements, or actual application scenes, and finally, the configured target skill instance is obtained.
In one embodiment, as shown in fig. 5, performing target skill instance creation on a target skill in a target skill interface to obtain a created target skill instance includes:
And step 504, initializing the new skill object to obtain an initialized skill object.
And step 506, performing skill object data filling on the initialized skill object to obtain a target skill instance.
Specifically, in the target skill interface, a new skill object is created by using a creation interface, that is, when a user operates a control related to the creation of the target skill instance, the new skill object may be created through the creation interface, where the skill object is an abstract method of the skill, the target skill instance may be abstracted into a corresponding skill object, and then the created new skill object is initialized to obtain an initialized skill object, and the initialization processing may be specifically initialized according to a service requirement, a product requirement, or an actual application scenario. And finally, performing skill object data filling on the initialized skill object to obtain a target skill instance. The skill object data filling may be specifically performed on the initialized skill object, and the skill object data of the skill object may be filled according to business requirements, product requirements or actual application scenarios, and the skill object data may be determined to be filled according to actual requirements.
In an embodiment, as shown in fig. 6, creating a target skill instance corresponding to a target skill, and performing target skill configuration on the target skill instance to obtain a configured target skill instance, includes:
And step 604, performing target skill configuration on the target skill instance to obtain a configured target skill instance.
After the robot client acquires the target skill pack from the local disk, the target skill pack can be displayed through a front-end page of the robot client, the target skill pack is a compressed file and comprises a component part and a plug-in part, the plug-in part is a specific dll file developed and completed by a developer according to a standard plug-in interface or a plug-in base class, and the component part is specific configuration information of components of the application in a process related to the skill and developed by other developers. Thus, the target skill pack may be revealed through the front-end interface of the robot client.
Specifically, the robot client displays the target skill pack through the front end, determines a target skill from a candidate skill list corresponding to the target skill pack, displays a target skill configuration interface corresponding to the target skill through the robot client, creates a corresponding target skill instance through the target skill configuration interface, the target skill instance comprises a corresponding target skill instance configuration interface, editing operation can be performed through the target skill instance configuration interface, and skill instance configuration is performed according to actual business requirements, product requirements or actual application scenes, so that a configured target skill instance is obtained. And if the target skill instance corresponds to a plurality of sub-target skill instance configuration interfaces, editing operation needs to be performed on each sub-target skill instance configuration interface, and when all the sub-target skill instance configuration interfaces complete the editing operation, a configured target skill instance can be generated.
And finally, the robot client distributes the configured target skill instance to a skill pack service platform, and the configured target skill instance can be read by a platform robot corresponding to the skill pack service platform and executed, so that the target skill instance can execute the corresponding business process. That is to say, after the configured target skill instance is obtained, the robot client is issued to the skill pack service platform, and the robot can execute the configured target skill instance, execute the business process in the configured target skill instance, and the like in the test program through the platform corresponding to the skill pack service platform.
In an embodiment, as shown in fig. 7, acquiring a target skill instance corresponding to a target skill package, and performing target skill configuration on the target skill instance to obtain a configured target skill instance, includes:
and step 702, reading a target skill instance corresponding to the target skill package according to the loading interface.
And 704, displaying a target skill instance configuration interface corresponding to the target skill instance.
And 706, editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to the jump interface, and realizing storage of the editing result of the target skill instance configuration interface according to the storage interface to obtain the configured target skill instance.
The method includes the steps of obtaining a target skill corresponding to a target skill package, creating a target skill instance for the target skill, and configuring the created target skill instance to obtain a configured target skill instance, specifically, reading the target skill package through a loading interface, where the loading interface is used for loading the skill corresponding to the reading skill package. Further, after the target skill is read, a target skill configuration interface corresponding to the target skill is displayed through the front end of the robot client, a target skill instance of the target skill can be created through the target skill configuration interface, editing operation is performed through a target skill instance editing interface corresponding to the target skill instance, and skill instance configuration is performed according to actual business requirements, product requirements or actual application scenes, so that a configured target skill instance is obtained. And if the target skill instance corresponds to a plurality of sub-target skill instance configuration interfaces, editing operation needs to be performed on each sub-target skill instance configuration interface, and when all the sub-target skill instance configuration interfaces complete the editing operation, a configured target skill instance can be generated.
Each sub-target skill instance configuration interface can realize free switching among the sub-target skill instance configuration interfaces through a skip interface, and after the configuration of a skill instance of one sub-target skill instance configuration interface is completed, the configuration of the next sub-target skill instance configuration interface can be performed through a related control, for example, the related control can be: "previous step", "next step", and the like. Wherein these are all realized through a jump interface. After the configuration of the skill instance is completed by each sub-target skill instance configuration interface, the configuration can be stored through the related storage control, and particularly, the storage of the editing result of the sub-target skill instance configuration interface can be realized through the storage interface. And when all the sub-target skill instance configuration interfaces finish the configuration of the skill instances, the configuration of the skill instances can be stored through the storage result, and finally the configured target skill instances are obtained.
In one embodiment, as shown in fig. 8, the skill pack data processing method further includes:
And step 804, removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removal request to obtain the removed robot client terminal.
In the robot client side which has executed the target skill pack, the target skill pack is not needed due to the fact that actual business requirements, product requirements or actual application scenes are changed, or the target skill pack needs to be updated and changed, at the moment, the whole robot client side does not need to be re-developed, only a target skill pack removing request needs to be triggered and generated, the target skill pack removing request is used for requesting to remove the corresponding target skill pack, and the target skill pack removing request can be triggered and generated through operation of a control related to the robot client side. Further, the target skill pack may be removed from the configuration of the robot client that has executed the target skill pack according to the target skill pack removal request, resulting in a removed robot client. Specifically, the issued skills may be removed from the skill service platform, and the host robot client may clean the local skill-related file, and further remove the skills. For example, when a robot client needs a certain skill, only the individual skill packages need to be configured as agreed, and when the robot client does not need a certain skill, only the skill packages need to be removed from the configuration.
In a specific embodiment, a skill set data processing method is provided, which specifically includes the following steps:
1. and sending a target skill pack calling request to a skill pack service platform so that the skill pack service platform acquires a developed candidate skill pack set, searching a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returning.
2. And the robot client receives the candidate skill pack and stores the candidate skill pack to the local.
3. In the robot client, a target skill pack is obtained locally, the target skill pack including a candidate skill list.
4. And determining the target skill from the candidate skill list corresponding to the target skill package.
5. And creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example.
And 5-1-1, displaying a target skill interface corresponding to the target skill.
And 5-1-2, performing target skill instance creation on the target skill interface to obtain a created target skill instance.
5-1-2-1, in the target skill interface, a new skill object is created from the creation interface.
And 5-1-2-2, initializing the new skill object to obtain the initialized skill object.
And 5-1-2-3, performing skill object data filling on the initialized skill object to obtain a target skill instance.
And 5-1-3, performing target skill configuration on the target skill examples to obtain configured target skill examples.
And 5-2-1, acquiring a target skill example corresponding to the target skill package, and performing target skill configuration on the target skill example to obtain a configured target skill example.
And 5-2-1-1, reading a target skill instance corresponding to the target skill package according to the loading interface.
And 5-2-1-2, displaying a target skill instance configuration interface corresponding to the target skill instance.
And 5-2-1-3, editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to the skip interface, and realizing storage of the editing result of the target skill instance configuration interface according to the storage interface to obtain the configured target skill instance.
6. And releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
7. And acquiring a target skill pack removing request in the robot client terminal executing the target skill pack.
8. And removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removing request to obtain the removed robot client terminal.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 9, there is provided a skill pack data processing apparatus 900 including: a skill pack acquisition module 902, a target skill determination module 904, a skill instance creation module 906, and a skill instance publishing module 908, wherein:
a skill pack obtaining module 902, configured to obtain, in the robot client, a target skill pack from a local, where the target skill pack includes a candidate skill list.
And a target skill determination module 904, configured to determine a target skill from the candidate skill list corresponding to the target skill package.
And a skill instance creating module 906, configured to create a target skill instance corresponding to the target skill, and perform target skill configuration on the target skill instance to obtain a configured target skill instance.
And a skill instance issuing module 908, configured to issue the configured target skill instance to a skill pack service platform, so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
In one embodiment, the skill pack data processing device 900 is further configured to send a target skill pack calling request to the skill pack service platform, so that the skill pack service platform obtains a developed candidate skill pack set, searches a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returns, and the robot client receives the candidate skill pack and stores the candidate skill pack locally.
In an embodiment, the skill instance creating module 906 is further configured to display a target skill interface corresponding to the target skill, create a target skill instance for the target skill on the target skill interface to obtain a created target skill instance, and configure the target skill instance to obtain a configured target skill instance.
In an embodiment, the skill instance creating module 906 is further configured to create a new skill object according to the creating interface in the target skill interface, initialize the new skill object to obtain an initialized skill object, and perform skill object data filling on the initialized skill object to obtain the target skill instance.
In one embodiment, the skill instance creating module 906 is further configured to obtain a target skill instance corresponding to the target skill package, and perform target skill configuration on the target skill instance to obtain a configured target skill instance.
In an embodiment, the skill instance creating module 906 is further configured to read a target skill instance corresponding to the target skill package according to the loading interface, display a target skill instance configuration interface corresponding to the target skill instance, perform editing operation on the target skill instance configuration interface, implement free switching of the target skill instance configuration interface according to the jump interface, implement storage of an editing result of the target skill instance configuration interface according to the storage interface, and obtain the configured target skill instance.
In one embodiment, the skill set data processing device 900 is further configured to obtain, in the robot client that has executed the target skill set, a target skill set removal request, and remove the target skill set from the configuration of the robot client that has executed the target skill set according to the target skill set removal request, resulting in a removed robot client.
For specific definition of the skill set data processing device, the above definition of the skill set data processing method can be referred to, and will not be described herein again. The respective modules in the skill pack data processing apparatus described above may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a skill pack data processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 10 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.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list; determining a target skill from a candidate skill list corresponding to the target skill package; creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example; and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: sending a target skill pack calling request to a skill pack service platform so that the skill pack service platform obtains a developed candidate skill pack set, searching a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returning; and the robot client receives the candidate skill pack and stores the candidate skill pack to the local.
In one embodiment, the processor, when executing the computer program, further performs the steps of: displaying a target skill interface corresponding to the target skill; creating a target skill example for the target skill on a target skill interface to obtain a created target skill example; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, the processor, when executing the computer program, further performs the steps of: in the target skill interface, creating a new skill object according to the creation interface; initializing the new skill object to obtain an initialized skill object; and performing skill object data filling on the initialized skill object to obtain a target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a target skill example corresponding to the target skill packet; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, the processor, when executing the computer program, further performs the steps of: reading a target skill instance corresponding to the target skill packet according to the loading interface; displaying a target skill instance configuration interface corresponding to the target skill instance; editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to the skip interface, and realizing storage of the editing result of the target skill instance configuration interface according to the storage interface to obtain the configured target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a target skill pack removing request in a robot client executing a target skill pack; and removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removing request to obtain the removed robot client terminal.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list; determining a target skill from a candidate skill list corresponding to the target skill package; creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example; and releasing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: sending a target skill pack calling request to a skill pack service platform so that the skill pack service platform obtains a developed candidate skill pack set, searching a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returning; and the robot client receives the candidate skill pack and stores the candidate skill pack to the local.
In one embodiment, the processor, when executing the computer program, further performs the steps of: displaying a target skill interface corresponding to the target skill; creating a target skill example for the target skill on a target skill interface to obtain a created target skill example; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, the processor, when executing the computer program, further performs the steps of: in the target skill interface, creating a new skill object according to the creation interface; initializing the new skill object to obtain an initialized skill object; and performing skill object data filling on the initialized skill object to obtain a target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a target skill example corresponding to the target skill packet; and carrying out target skill configuration on the target skill example to obtain a configured target skill example.
In one embodiment, the processor, when executing the computer program, further performs the steps of: reading a target skill instance corresponding to the target skill packet according to the loading interface; displaying a target skill instance configuration interface corresponding to the target skill instance; editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to the skip interface, and realizing storage of the editing result of the target skill instance configuration interface according to the storage interface to obtain the configured target skill instance.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a target skill pack removing request in a robot client executing a target skill pack; and removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removing request to obtain the removed robot client terminal.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A skills package data processing method, the method comprising:
in a robot client, acquiring a target skill pack from a local place, wherein the target skill pack comprises a candidate skill list;
determining a target skill from a candidate skill list corresponding to the target skill pack;
creating a target skill example corresponding to the target skill, and performing target skill configuration on the target skill example to obtain a configured target skill example;
and issuing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads and executes the configured target skill instance.
2. The method of claim 1, wherein prior to obtaining the target skill pack, comprising:
sending a target skill pack calling request to a skill pack service platform so that the skill pack service platform acquires a developed candidate skill pack set, searching a candidate skill pack corresponding to the target skill pack calling request from the candidate skill pack set, and returning;
and the robot client receives the candidate skill package and stores the candidate skill package to the local.
3. The method according to claim 1, wherein the creating a target skill instance corresponding to the target skill, performing target skill configuration on the target skill instance, and obtaining a configured target skill instance comprises:
displaying a target skill interface corresponding to the target skill;
performing target skill instance creation on the target skill at the target skill interface to obtain a created target skill instance;
and carrying out target skill configuration on the target skill examples to obtain configured target skill examples.
4. The method according to claim 3, wherein the performing target skill instance creation for the target skill at the target skill interface, resulting in a created target skill instance, comprises:
in the target skill interface, creating a new skill object according to a creation interface;
initializing the new skill object to obtain an initialized skill object;
and performing skill object data filling on the initialized skill object to obtain a target skill instance.
5. The method according to claim 1, wherein the creating a target skill instance corresponding to the target skill, performing target skill configuration on the target skill instance, and obtaining a configured target skill instance comprises:
acquiring a target skill instance corresponding to the target skill packet;
and carrying out target skill configuration on the target skill examples to obtain configured target skill examples.
6. The method according to claim 5, wherein the obtaining of the target skill instance corresponding to the target skill package and the target skill configuration of the target skill instance to obtain the configured target skill instance comprises:
reading a target skill instance corresponding to the target skill packet according to a loading interface;
displaying a target skill instance configuration interface corresponding to the target skill instance;
and editing the target skill instance configuration interface, realizing free switching of the target skill instance configuration interface according to a skip interface, and realizing storage of the editing result of the target skill instance configuration interface according to a storage interface to obtain a configured target skill instance.
7. The method of claim 1, further comprising:
acquiring a target skill pack removing request in a robot client executing a target skill pack;
and removing the target skill pack from the configuration of the robot client terminal executing the target skill pack according to the target skill pack removing request to obtain the removed robot client terminal.
8. A skill pack data processing apparatus, characterized in that the apparatus comprises:
the skill pack acquisition module is used for acquiring a target skill pack from the local in the robot client, and the target skill pack comprises a candidate skill list;
the target skill determination module is used for determining a target skill from a candidate skill list corresponding to the target skill package;
a skill instance creating module, configured to create a target skill instance corresponding to the target skill, and perform target skill configuration on the target skill instance to obtain a configured target skill instance;
and the skill instance issuing module is used for issuing the configured target skill instance to a skill pack service platform so that a platform robot corresponding to the skill pack service platform reads the configured target skill instance and executes the configured target skill instance.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113918196A (en) * | 2021-12-10 | 2022-01-11 | 北京云迹科技有限公司 | Data processing method, upgrading method, device, server and mobile robot |
| WO2023273178A1 (en) * | 2021-06-29 | 2023-01-05 | 达闼科技（北京）有限公司 | Method and apparatus for generating robot skills, and medium, cloud server and robot control system. |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108958842A (en) * | 2018-07-12 | 2018-12-07 | 北京猫眼文化传媒有限公司 | The business plug-in unit application method of application program and application program |
| CN110196732A (en) * | 2019-06-26 | 2019-09-03 | 苏州思必驰信息科技有限公司 | Technical ability local management method and device |
| CN111091303A (en) * | 2019-12-24 | 2020-05-01 | 苏州思必驰信息科技有限公司 | Skill customization method and device |
-
2021
- 2021-02-10 CN CN202110184624.3A patent/CN112882769B/en active Active
-
2022
- 2022-02-08 CA CA3148068A patent/CA3148068A1/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108958842A (en) * | 2018-07-12 | 2018-12-07 | 北京猫眼文化传媒有限公司 | The business plug-in unit application method of application program and application program |
| CN110196732A (en) * | 2019-06-26 | 2019-09-03 | 苏州思必驰信息科技有限公司 | Technical ability local management method and device |
| CN111091303A (en) * | 2019-12-24 | 2020-05-01 | 苏州思必驰信息科技有限公司 | Skill customization method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023273178A1 (en) * | 2021-06-29 | 2023-01-05 | 达闼科技（北京）有限公司 | Method and apparatus for generating robot skills, and medium, cloud server and robot control system. |
| CN113918196A (en) * | 2021-12-10 | 2022-01-11 | 北京云迹科技有限公司 | Data processing method, upgrading method, device, server and mobile robot |
| CN113918196B (en) * | 2021-12-10 | 2022-03-04 | 北京云迹科技有限公司 | Data processing method, upgrading method, device, server and mobile robot |
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