CN113065656B - Rule engine configuration method and device, server and readable storage medium - Google Patents
Rule engine configuration method and device, server and readable storage medium Download PDFInfo
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Abstract
The application is applicable to the technical field of artificial intelligence, and particularly relates to a rule engine configuration method, a rule engine configuration device, a rule engine configuration server and a readable storage medium, wherein the rule engine configuration method comprises the following steps: acquiring a service class file and triggering a configuration process; responding to a configuration process, and extracting parameter information in the service class file; performing aggregation processing on the parameter information to obtain a conditional node and a logical node; forming a behavior tree according to the condition nodes and the logic nodes: generating an editing instruction according to the behavior tree, and sending the editing instruction to the user terminal, wherein the editing instruction is used for indicating the user terminal to return the rule file to an expert system in the server; and generating a rule engine in the expert system according to the rule file returned by the user terminal. Therefore, in the embodiment of the application, once other service scenes need to be converted or the rule engine needs to be updated, the rules are directly changed again by a service analyst, the method can adapt to a plurality of service scenes, and in addition, the configuration process of the rule engine can also be updated in real time.
Description
Technical Field
The application belongs to the technical field of artificial intelligence, and particularly relates to a rule engine configuration method, a rule engine configuration device, a server and a readable storage medium.
Background
The expert system is a branch of the artificial intelligence system, and when the data volume is not enough for machine learning and deep learning, business judgment and prediction are needed to be realized through rules in the expert system. At present, most rule engines in expert systems require experts to inform developers of knowledge, and the developers convert business logic into programming languages. However, on one hand, the rule engine configured in the prior art can only aim at a single business scenario, and once other business scenarios need to be converted, the whole rule engine needs to be reconfigured, which greatly wastes human resources. On the other hand, in the prior art, the rule engines in the expert system need to be updated regularly, and the process of updating the rule engines also needs to be reconfigured, so that the update is not timely.
Disclosure of Invention
The embodiment of the application provides a rule engine configuration method, a rule engine configuration device, a server and a readable storage medium, and can solve the problems that a rule engine configured in the prior art can only aim at a single service scene and is not updated timely.
In a first aspect, an embodiment of the present application provides a method for configuring a rule engine, including:
acquiring a service class file and triggering a configuration process;
responding to the configuration process, and extracting parameter information in the service class file;
performing aggregation processing on the parameter information to obtain a conditional node and a logical node;
forming a behavior tree according to the conditional nodes and the logic nodes:
generating an editing instruction according to the behavior tree, sending the editing instruction to a user terminal, wherein the editing instruction is used for instructing the user terminal to analyze the behavior tree in the editing instruction, displaying the behavior tree to a user, detecting the editing operation of the user, changing the behavior tree according to the editing operation, generating a rule file according to the behavior tree, and returning the rule file to an expert system in a server;
and generating a rule engine in an expert system according to the rule file returned by the user terminal.
In a possible implementation manner of the first aspect, the extracting, in response to the configuration process, parameter information in the service class file includes:
calling a preset reflection mechanism;
and analyzing the parameter information in the service class file according to the preset reflection mechanism.
In a second aspect, an embodiment of the present application provides a rule engine configuration apparatus, including:
the acquisition module is used for acquiring the service class file and triggering the configuration process;
the extraction module is used for responding to the configuration process and extracting the parameter information in the service class file;
the aggregation module is used for carrying out aggregation processing on the parameter information to obtain a conditional node and a logical node;
a forming module, configured to form a behavior tree according to the conditional node and the logical node:
the first generation module is used for generating an editing instruction according to the behavior tree, sending the editing instruction to a user terminal, wherein the editing instruction is used for indicating the user terminal to analyze the behavior tree in the editing instruction, displaying the behavior tree to a user, detecting the editing operation of the user, changing the behavior tree according to the editing operation, generating a rule file according to the behavior tree, and returning the rule file to an expert system in a server;
and the second generation module is used for generating a rule engine in the expert system according to the rule file returned by the user terminal.
In a possible implementation manner of the second aspect, the extraction module includes:
the calling unit is used for calling a preset reflection mechanism;
and the analysis unit is used for analyzing the parameter information in the service class file according to the preset reflection mechanism.
In a third aspect, an embodiment of the present application provides a server, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, and when executed by the processor, the computer program implements the method of the first aspect.
In a fourth aspect, the present application provides a readable storage medium, and the computer program when executed by a processor implements the method as described in the first aspect.
Compared with the prior art, the embodiment of the application has the beneficial effects that:
in the embodiment of the application, a user can directly modify the rule file in time through the server, so that the rule engine is correspondingly generated or modified, once other service scenes are required to be converted or the rule engine is required to be updated, a service analyst can directly modify the rules again, the rule engine can adapt to a plurality of service scenes, and in addition, the configuration process of the rule engine can also be updated in real time.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of an application scenario of a rule engine configuration process in the prior art provided by an embodiment of the present application;
FIG. 2 is a schematic diagram of an application scenario of a rule engine configuration process provided in an embodiment of the present application;
FIG. 3 is a flow chart illustrating a method for configuring a rule engine according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a behavior tree provided by an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a rule engine configuration apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing a relative importance or importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 1, an application scenario diagram of a rule engine configuration process in the prior art is provided in an embodiment of the present application, where the rule engine configuration process in the prior art is as follows: the method comprises the steps that a business analyst compiles a requirement document, a development engineer understands requirements in the requirement document, the requirements in the document are converted into a rule file and then stored in a rule base, then the expert base reads rules from the rule base to form a rule engine, and finally the expert base processes fact uploaded by a client side.
As can be seen from the above, once another business scenario needs to be converted or the rule engine needs to be updated, the configuration process of the rule engine needs to be re-configured, that is, the business analyst writes the requirement document, the development engineer understands the requirement in the requirement document, converts the requirement in the document into the rule file and stores the rule file in the rule base, and then the expert base reads the rule from the rule base to form the rule engine, so that the configured rule engine can only aim at a single business scenario, and on the other hand, the update process of the rule engine also needs to be re-configured, which may cause an update failure.
Referring to fig. 2, a schematic view of an application scenario of a rule engine configuration process provided in the embodiment of the present application is shown, where the rule engine configuration process in the embodiment of the present application is as follows: a business analyst compiles a requirement document, a rule file is formed according to a requirement document compiling rule through the rule engine configuration method, requirements in the document are converted into the rule file and then stored in a rule base, and then the expert base reads the rule from the rule base to form a rule engine.
As can be seen from the above, once another service scenario needs to be converted or the rule engine needs to be updated, the rules are directly changed again by the service analyst, which can adapt to a plurality of service scenarios, and in addition, the configuration process of the rule engine can also be updated in real time.
It should be noted that, the server in the embodiment of the present application is configured with an expert system, and the expert system is used to generate the rule engine, and the user in the embodiment of the present application may refer to the business analyst.
Referring to fig. 3, a schematic flowchart of a rule engine configuration method provided in an embodiment of the present application, where the method is applied to a server, and the method includes the following steps:
step S301, acquiring the service class file and triggering the configuration process.
The service class file refers to a file containing a service instance.
Step S302, responding to the configuration process, and extracting the parameter information in the service class file.
Wherein the parameter information includes a service attribute and a function. For example, the business is priced according to the sales volume of the product, and the business attribute refers to the attribute of the product itself.
In specific application, in response to a configuration process, extracting parameter information in a service class file includes:
firstly, calling a preset reflection mechanism;
and secondly, analyzing the parameter information in the service class file according to a preset reflection mechanism.
In specific application, the service attribute and the function in the service class file (class) are analyzed through a built-in JAVA reflection mechanism.
And step S303, carrying out aggregation processing on the parameter information to obtain a conditional node and a logical node.
In the specific application, the service attributes and functions in the service class files are aggregated, and the service attributes and functions of the same type are combined together to obtain the conditional nodes and the logic nodes.
It should be noted that the condition node includes an attribute node, a comparison node and a calculation node, and the attribute node is a logic judgment defining an entity attribute parameter, such as speed > 200. The comparison node is used to define an inter-entity attribute comparison, such as $ car1.getSpeed () > $ car2. getspeed. Compute nodes are used to call function computations, such as distance ($ car1, $ car 2).
And step S304, forming a behavior tree according to the condition nodes and the logic nodes.
The concept of a behavior tree (behavior tree) is the earliest source of the ai control structure in the game of halo, and the ai control structure selects the specific behaviors which should be made under the current environment through a tree decision structure similar to a decision tree. Illustratively, the resulting behavior tree is shown in FIG. 4.
Step S305, generating an editing instruction according to the behavior tree, sending the editing instruction to the user terminal, wherein the editing instruction is used for indicating the user terminal to analyze the behavior tree in the editing instruction, displaying the behavior tree to the user, detecting the editing operation of the user, changing the behavior tree according to the editing operation, generating a rule file according to the behavior tree, and returning the rule file to an expert system in the server.
In specific application, the mode of generating the rule file according to the behavior tree is as follows: and converting the nodes in the behavior tree into a JSON format, decomposing the JSON format, and converting into a rule file with a DEL format.
And step S305, generating a rule engine in the expert system according to the rule file returned by the user terminal.
Preferably, the user terminal can download the function to export the rule file or dynamically load the rule into the expert system directly by means of hot update.
In the embodiment of the application, a user can directly modify the rule file in time through the server, so that the rule engine is correspondingly generated or modified, once other service scenes are required to be converted or the rule engine is required to be updated, the rules are directly changed again by a service analyst, the method can adapt to a plurality of service scenes, and in addition, the configuration process of the rule engine can also be updated in real time.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 4 shows a block diagram of a rule engine configuration device provided in the embodiment of the present application, and for convenience of explanation, only the relevant parts of the embodiment of the present application are shown.
Referring to fig. 5, the apparatus includes:
an obtaining module 51, configured to obtain a service class file and trigger a configuration process;
an extracting module 52, configured to respond to the configuration process, and extract parameter information in the service class file;
the aggregation module 53 is configured to perform aggregation processing on the parameter information to obtain a conditional node and a logical node;
a forming module 54, configured to form a behavior tree according to the conditional node and the logical node:
the first generating module 55 is configured to generate an editing instruction according to the behavior tree, send the editing instruction to a user terminal, where the editing instruction is used to instruct the user terminal to analyze the behavior tree in the editing instruction, display the behavior tree to a user, detect an editing operation of the user, change the behavior tree according to the editing operation, generate a rule file according to the behavior tree, and return the rule file to an expert system in a server;
and a second generating module 56, configured to generate a rule engine in the expert system according to the rule file returned by the user terminal.
In one possible implementation, the extraction module includes:
the calling unit is used for calling a preset reflection mechanism;
and the analysis unit is used for analyzing the parameter information in the service class file according to the preset reflection mechanism.
It should be noted that, for the information interaction, execution process, and other contents between the above devices/units, the specific functions and technical effects thereof based on the same concept as those of the method embodiment of the present application can be specifically referred to the method embodiment portion, and are not described herein again.
Fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application. As shown in fig. 6, the server 6 of this embodiment includes: at least one processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the at least one processor 60, the processor 60 implementing the steps in any of the various method embodiments described above when executing the computer program 62.
The server 6 may be a computing device such as a cloud server. The server may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of the server 6, and does not constitute a limitation on the server 6, and may include more or less components than those shown, or some components in combination, or different components, such as input output devices, network access devices, etc.
The Processor 60 may be a Central Processing Unit (CPU), and the Processor 60 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may in some embodiments be an internal storage unit of the server 6, such as a hard disk or a memory of the server 6. The memory 61 may also be an external storage device of the server 6 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 6. Further, the memory 61 may also include both an internal storage unit of the server 6 and an external storage device. The memory 61 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The embodiments of the present application further provide a readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps that can be implemented in the foregoing method embodiments.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-drive, a removable hard drive, a magnetic or optical disk, etc. In some jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and proprietary practices.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (6)
1. A rule engine configuration method is applied to a server and is characterized by comprising the following steps:
acquiring a service class file and triggering a configuration process;
the service class file refers to a file containing a service instance;
responding to the configuration process, and extracting parameter information in the service class file;
wherein, the parameter information comprises service attribute and function;
performing aggregation processing on the parameter information to obtain a conditional node and a logical node;
forming a behavior tree according to the condition nodes and the logic nodes:
generating an editing instruction according to the behavior tree, sending the editing instruction to a user terminal, wherein the editing instruction is used for indicating the user terminal to analyze the behavior tree in the editing instruction, displaying the behavior tree to a user, detecting the editing operation of the user, changing the behavior tree according to the editing operation, generating a rule file according to the behavior tree, and returning the rule file to an expert system in a server;
and generating a rule engine in an expert system according to the rule file returned by the user terminal.
2. The method of claim 1, wherein extracting the parameter information in the service class file in response to the configuration process comprises:
calling a preset reflection mechanism;
and analyzing the parameter information in the service class file according to the preset reflection mechanism.
3. A rules engine configuration apparatus, the apparatus comprising:
the acquisition module is used for acquiring the service class file and triggering the configuration process;
the service class file refers to a file containing a service instance;
the extraction module is used for responding to the configuration process and extracting the parameter information in the service class file;
wherein, the parameter information comprises service attribute and function;
the aggregation module is used for carrying out aggregation processing on the parameter information to obtain a conditional node and a logical node;
a forming module, configured to form a behavior tree according to the conditional node and the logical node:
the first generation module is used for generating an editing instruction according to the behavior tree, sending the editing instruction to a user terminal, wherein the editing instruction is used for indicating the user terminal to analyze the behavior tree in the editing instruction, displaying the behavior tree to a user, detecting the editing operation of the user, changing the behavior tree according to the editing operation, generating a rule file according to the behavior tree, and returning the rule file to an expert system in a server;
and the second generation module is used for generating a rule engine in the expert system according to the rule file returned by the user terminal.
4. The rules engine configuration device of claim 3, wherein the extraction module comprises:
the calling unit is used for calling a preset reflection mechanism;
and the analysis unit is used for analyzing the parameter information in the service class file according to the preset reflection mechanism.
5. A server comprising a memory, a processor and a computer program stored in the memory and run on the processor, characterized in that the computer program, when executed by the processor, implements the method according to any of claims 1 to 2.
6. A readable storage medium, storing a computer program, characterized in that the computer program, when executed by a processor, implements the method according to any of claims 1 to 2.
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