CN115564322A - Business processing method and device, electronic equipment and storage medium - Google Patents

Business processing method and device, electronic equipment and storage medium Download PDF

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CN115564322A
CN115564322A CN202211557222.4A CN202211557222A CN115564322A CN 115564322 A CN115564322 A CN 115564322A CN 202211557222 A CN202211557222 A CN 202211557222A CN 115564322 A CN115564322 A CN 115564322A
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service
node
information
target service
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CN115564322B (en
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邵怀剑
童国俊
王愚
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Lianlian Hangzhou Information Technology Co ltd
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Abstract

The invention discloses a service processing method, a device, electronic equipment and a storage medium, wherein the method comprises the step of responding to a service request aiming at a target service, determining target service flow information, wherein the target service flow information comprises an execution node description sequence, and the execution node description sequence is used for indicating execution nodes corresponding to a plurality of flow steps in the execution process of the target service, so that the plurality of flow steps are executed based on the execution nodes corresponding to the execution node description sequence and service request parameters corresponding to the service request, and a service result of the target service is obtained. By utilizing the embodiment of the invention, the description of the business rules corresponding to the business process and the quick execution of the business process can be realized through the process arrangement model component, and the business process arrangement is simplified, so that the generation and execution efficiency of the business process is improved, the secondary development and expansion are facilitated, and the flexibility of process management can be improved.

Description

Business processing method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a service, an electronic device, and a storage medium.
Background
With the development of big data and computer technology, in financial scenes, such as application scenes of wind control, marketing, credit granting management and the like, decision engines or rule engines can be used for analyzing and deciding credit investigation big data, consumption big data and the like of users, and at present, the decision engines or rule engines become the core of financial intelligent wind control, and requests under different decision scenes are processed by configuring decision processes.
In the prior art, a decision flow is usually hard-coded in a code to complete configuration of the decision flow, however, in practical application, due to a large number of decision scenes, a hard-coded manner is required to consume a large amount of labor and time to configure the decision flow, the difficulty of adjusting specific contents of the decision flow is large, readability and portability are poor, the decision flow cannot be flexibly managed to meet the use requirements of various service scenes, and in a complex rule scene, a script file using a flow execution engine is more redundant, and analysis and execution efficiency is low.
Disclosure of Invention
In view of the above problems in the prior art, the present invention discloses a service processing method, an apparatus, an electronic device, and a storage medium, which can implement description of service rules corresponding to a service flow and rapid execution of the service flow through a flow layout model component, and simplify the layout of the service flow, thereby improving generation and execution efficiency of the service flow, facilitating secondary development and expansion, and improving flexibility of flow management. The technical scheme disclosed by the invention is as follows:
according to an aspect of the embodiments disclosed in the present invention, there is provided a service processing method, including:
responding to a service request aiming at a target service, determining target service flow information from at least one piece of preset service flow information, wherein the target service flow information comprises an execution node description sequence, the execution node description sequence is used for indicating execution nodes corresponding to a plurality of flow steps in the execution process of the target service, and the service request comprises a target service request parameter;
and executing the multiple process steps based on the execution node corresponding to the execution node description sequence and the target service request parameter to obtain a service result of the target service.
Optionally, the executing node description sequence includes multiple executing node identifiers arranged based on a target executing sequence, where the multiple executing node identifiers are executing node identifiers corresponding to the multiple process steps, and the executing node corresponding to the executing node description sequence and the target service request parameter execute the multiple process steps to obtain the service result of the target service includes:
traversing the plurality of execution node identifications based on the target execution order;
under the condition that any execution node identifier is traversed and the any execution node identifier is a first execution node identifier, executing a current flow step in the multiple flow steps based on a current execution node and a current request parameter corresponding to the currently traversed execution node identifier to obtain an execution result of the current flow step, wherein the current request parameter is a request parameter corresponding to the current execution node in the target service request parameter;
executing the current flow step based on the current execution node, the current request parameter and the execution result corresponding to the last execution node under the condition of traversing to any execution node identification and the any execution node identification is not the first execution node identification, so as to obtain the execution result of the current flow step;
and under the condition that the traversal is finished, taking an execution result corresponding to the last execution node and an execution result corresponding to a target execution node as the service result, wherein the target execution node is the execution node corresponding to the process step of which the execution result needs to be output.
Optionally, before taking the execution result corresponding to the last execution node and the execution result corresponding to the target execution node as the service result when the traversal is finished, the method further includes:
responding to a pause execution instruction, and storing current execution information into the target service request parameter, wherein the current execution information is used for indicating the current execution node;
and taking the executing node indicated by the current executing information as the current executing node under the condition of receiving an instruction of restarting the service request.
Optionally, the method further includes:
and triggering the execution suspension instruction when the execution result of the current flow step indicates suspension of execution.
Optionally, the method further includes:
inquiring business data corresponding to the current flow step before executing the current flow step;
and triggering the execution suspending instruction under the condition that the business data corresponding to the current process node flow step is not inquired.
Optionally, the method further includes:
acquiring service execution logic information of at least one preset service, wherein the at least one preset service comprises the target service;
determining a plurality of preset execution nodes corresponding to each preset service based on the service execution logic information, wherein the plurality of preset execution nodes comprise at least one of rule nodes, rule group nodes, classification nodes, result judgment nodes and external system nodes;
and arranging the plurality of preset execution nodes based on the preset execution sequence corresponding to each preset service and the execution node identifiers of the plurality of preset execution nodes to generate the at least one piece of preset service flow information.
Optionally, the determining, in response to the service request for the target service, the target service flow information from at least one piece of preset service flow information includes:
and responding to the service request aiming at the target service, and determining the target service process information corresponding to the target service process information identification from the at least one piece of preset service process information.
According to another aspect of the disclosed embodiments of the present invention, there is provided a service processing apparatus, including:
a response module, configured to determine, in response to a service request for a target service, target service flow information from at least one piece of preset service flow information, where the target service flow information includes an execution node description sequence, the execution node description sequence is used to indicate execution nodes corresponding to multiple flow steps in an execution process of the target service, and the service request includes a target service request parameter;
and the execution module is used for executing the multiple process steps based on the execution node corresponding to the execution node description sequence and the target service request parameter to obtain a service result of the target service.
According to another aspect of the disclosed embodiments of the present invention, there is provided an electronic device, including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the traffic processing method as described in any of the above.
According to another aspect of the embodiments disclosed herein, there is provided a computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the business processing methods of the embodiments disclosed herein.
According to another aspect of the disclosed embodiments, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the business process method of any one of the disclosed embodiments.
The technical scheme provided by the embodiment of the invention at least has the following beneficial effects:
the business processing method provided by the invention responds to the business request to determine the business process information, wherein the business process information comprises an execution node description sequence which is used for indicating execution nodes corresponding to a plurality of process steps in the execution process of the target business, and the description of the business rules corresponding to the business process can be realized through a process arrangement model component, so that the business process arrangement is simplified, the generation efficiency of the business process is improved, the secondary development and expansion are facilitated, the flexibility of the process management can be improved, and further, the plurality of process steps in the business execution process are executed based on the execution nodes corresponding to the execution node description sequence and the business request parameters corresponding to the business request, the business result is obtained, the quick execution of the business process is realized, and the execution efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and, together with the description, serve to explain the principles of the disclosure and are not intended to unduly limit the disclosure.
FIG. 1 is a flow diagram illustrating a method of business processing in accordance with an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method for generating preset business process information in accordance with an exemplary embodiment;
FIG. 3 is a flow diagram illustrating a method of business process execution in accordance with an exemplary embodiment;
FIG. 4 is a flow diagram illustrating a trust service in accordance with an exemplary embodiment;
FIG. 5 is a block diagram illustrating a traffic processing apparatus according to an exemplary embodiment;
FIG. 6 is a block diagram illustrating a terminal electronic device for traffic processing in accordance with an exemplary embodiment;
FIG. 7 is a block diagram illustrating a server electronics for business processing in accordance with an exemplary embodiment.
Detailed Description
In order to make the technical solutions disclosed in the present invention better understood, the technical solutions in the embodiments disclosed in the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The decision engine or the rule engine is widely applied to the field of internet finance, particularly to risk control scenes such as anti-fraud, anti-money laundering and the like, and has the functions of firstly making a series of rule strategy algorithms according to business scenes, then carrying out risk detection on current business requests, and finally giving out risk detection conclusions, namely decision results.
At present, a mainstream rule engine Drools is a set of complete business rule management solution, and provides a rule engine core, a Web-side business rule management system and a decision model process execution engine. The set of solution has powerful functions, but multiple systems of related components depend heavily, and once the problem troubleshooting difficulty is high, the following problems are found in the actual use process:
the rule content is stored in the form of a Drools script file, so that the readability and the portability are poor, developers and business personnel cannot easily understand and use the rule content, and the use cost is high; in a complex rule scene, drools script files using a flow execution engine are more tedious, the dependency is serious, the analysis and execution efficiency is low, and the maintenance cost is very high; the execution flow is single, and the interrupt restart cannot be realized; the decision result is single, and particularly when the decision result is integrated with a business system, the secondary development and expandability of the customized function are poor.
The business processing method provided by the invention can be applied to the arrangement and execution of business processes in a decision engine.
Fig. 1 is a flowchart illustrating a business process method according to an exemplary embodiment, where the calibration method includes the following steps, as shown in fig. 1.
S101: and responding to the service request aiming at the target service, and determining target service flow information from at least one piece of preset service flow information.
In a specific embodiment, the target service flow information may include an execution node description sequence, where the execution node description sequence may be used to indicate an execution node corresponding to multiple flow steps in an execution process of the target service, specifically, the execution node may be an execution component of each flow step in the service flow, and the target service flow information may include description information of each execution node in the execution node description sequence.
In a specific embodiment, the service request may include a target service request parameter, and specifically, the target service request parameter may include target service related information and a target service flow information identifier, for example, in the credit service, the target service related information may include user information such as a user name, an age, and an area.
In an optional embodiment, the determining, in response to the service request for the target service, the target service flow information from the at least one piece of preset service flow information includes:
and responding to a service request aiming at the target service, and determining the target service process information corresponding to the target service process information identification from the at least one piece of preset service process information.
In a specific embodiment, the service flow information identifier may be identifier information for distinguishing different service flow information, the service flow information identifier corresponds to the service flow information one to one, and one service flow information corresponding to the service flow information identifier may be determined according to the service flow information identifier.
In an optional embodiment, fig. 2 is a flowchart illustrating a preset business process information generating method according to an exemplary embodiment, and as shown in fig. 2, the method may further include:
s201: and acquiring service execution logic information of at least one preset service.
In a specific embodiment, the at least one preset service may include the target service.
S203: and determining a plurality of preset execution nodes corresponding to each preset service based on the service execution logic information.
In a specific embodiment, the description information of each preset execution node may include an execution node identifier, the execution node identifier may be identification information for distinguishing different execution nodes, and the execution node identifiers correspond to the execution nodes one to one.
In an embodiment, the predetermined execution nodes may include at least one of a rule node, a rule group node, a classification node, a result determination node, and an external system node.
Specifically, a rule node may be an execution component of a service rule in a service flow, description information of the rule node may include a rule node identifier, a rule script, whether the rule is strong, whether a result is output, and the like, the rule script may represent a rule type, and the rule type may include an expression rule, a decision tree, a decision table, a score card, and the like; whether a strong rule can represent whether the execution result of the rule affects the execution result of the process or not, wherein the execution result of the rule affects the execution result of the business process under the condition that the rule is the strong rule, and the execution result of the rule affects the execution result of the business process under the condition that the rule is the weak rule; whether the output result can represent whether the execution result of the rule is output as the execution result of the business process.
Specifically, the rule group node may be an execution component of a plurality of business rules in the business process, the rule group node may be composed of a plurality of rule nodes, and the description information of the rule group node may include a rule group node identifier.
Specifically, the classification node may be an execution component for branch judgment in the service flow, description information of the classification node includes a classification node identifier and a judgment rule script, each branch of the classification node needs to have a corresponding next execution node, and the classification node is not used as a last execution node in the service flow information.
Specifically, the result determination node may be an execution component for decision determination in the service flow, the description information of the result determination node may include a result determination node identifier, a node execution result, and reason information, the node execution result may include a node decision result and node output information, the node decision result may be one of reject, pass, and audit, and the node output information may include the reason information when the node decision result is non-pass; in practical application, the result judgment node also supports assignment of variables in the node output information, and the node output information after variable assignment is used as final node output information.
Specifically, the external system node may call an execution component of the external system in the business process, and specifically, the description information of the external system node may include an external system node identifier, a method for acquiring external data, and a result processing method. In practical application, when a business process is executed to an external system node, an external interface is called to obtain external data, and the external data is processed according to a result processing method.
In a specific embodiment, in a case that an execution node is a non-last execution node, the description information of any execution node may further include an execution node identifier of a next execution node of the execution node, and in a process of executing a service flow, after a current flow step is completed, a corresponding next flow step is executed according to a next execution node identifier corresponding to the current flow step.
In practical application, the rule script can be a Groovy script, so that the learning cost and the maintenance cost can be reduced, and the execution efficiency and the expansibility can be further improved.
S205: and arranging the plurality of preset execution nodes based on the preset execution sequence corresponding to each preset service and the execution node identifiers of the plurality of preset execution nodes to generate the at least one piece of preset service flow information.
In a specific embodiment, each preset service flow information may include service flow description information, service flow execution information, service flow control information, and the like, and specifically, the service flow description information may include a service flow information identifier, for example, the service flow information identifier may be a flow code of the service flow information; the service process execution information may include process input information and a process execution result, the process execution result may include an execution result corresponding to a last execution node in the execution process of the service process and an execution result corresponding to a target execution node, and the target execution node may be an execution node corresponding to a process step that the execution result needs to be output; the service flow control information may be used to indicate whether the service flow is completely executed, if the service flow is suspended at a certain node, the service flow may still execute the remaining flow steps after the node until the flow is finished to obtain a service result under the condition that the service flow control information indicates that the service flow is completely executed, and under the condition that the service flow control information indicates that the service flow is not completely executed, the service flow is finished at the node to obtain the service result without executing the remaining flow steps after the node.
In practical application, the business process description information may further include version information, information of affiliated merchants and the like; the service flow information is a serializable object, can be used for network transmission after being serialized, can also be stored in a memory or a file or other media, and can also be deserialized into the service flow information from the media.
S103: and executing the multiple process steps based on the execution node corresponding to the execution node description sequence and the target service request parameter to obtain a service result of the target service.
In a specific embodiment, the execution node description sequence may include a plurality of execution node identifiers arranged based on the target execution sequence, and specifically, the plurality of execution node identifiers may be execution node identifiers corresponding to the plurality of process steps respectively.
In an optional embodiment, when the target service request parameter includes an execution node identifier, starting to execute the target service flow information from an execution node corresponding to the execution node identifier; and under the condition that the target service request parameter does not comprise the execution node identification, starting to execute the target service flow information from the execution node corresponding to the first execution node identification in the execution node description sequence.
In practical application, service flow interceptors are opened in a service flow, when a decision engine is integrated with a service system, relevant service logic can be realized in the interceptors, each interceptor comprises a front-end method and a back-end method, the front-end method of the service flow interceptor can be executed before the service flow is executed, the back-end method of the service flow interceptor can be executed after the execution result is obtained by the execution of the service flow, specifically, the front-end method of the service flow interceptor can be used for recording application form information, application form request information, obtaining integral external data and the like, the integral external data can be external data which is commonly required by the execution of a plurality of flow steps in the service flow, and the back-end method of the service flow interceptor can merge the execution results of the plurality of flow steps, update service request parameters, record abnormal information and the like.
In the embodiment, the description of the business rules corresponding to the business process and the quick execution of the business process are realized through the process arrangement model component, the process arrangement can be simplified, the generation and execution efficiency of the business process is improved, meanwhile, the secondary development and expansion are facilitated, and the flexibility of process management can be improved. In addition, the business process can be described more simply and rapidly through the rule nodes, the rule group nodes, the classification nodes, the result judgment nodes and the external system nodes, and the complexity of the business process description is effectively reduced.
In an optional embodiment, fig. 3 is a flowchart illustrating a service flow execution method according to an exemplary embodiment, and as shown in fig. 3, the executing the multiple flow steps based on the executing node corresponding to the executing node description sequence and the target service request parameter to obtain the service result of the target service may include:
s301: traversing the plurality of execution node identifications based on the target execution order.
S303: and under the condition that any execution node identifier is traversed and the execution node identifier is the first execution node identifier, executing the current flow step in the multiple flow steps based on the current execution node corresponding to the currently traversed execution node identifier and the current request parameter, and obtaining the execution result of the current flow step.
In a specific embodiment, the current request parameter may be a request parameter corresponding to the current execution node in the target service request parameter.
S305: and under the condition that any execution node identifier is traversed and is not the first execution node identifier, executing the current flow step based on the current execution node, the current request parameter and an execution result corresponding to the last execution node to obtain the execution result of the current flow step.
S307: and under the condition that the traversal is finished, taking an execution result corresponding to the last execution node and an execution result corresponding to the target execution node as the service results.
In a specific embodiment, the target execution node may be an execution node corresponding to a flow step whose execution result needs to be output; in the process of executing the business process, the input variable can be processed into a new variable based on the independent processing variable, a script expression in the independent processing variable contains processing logic of the variable, the processing logic is realized based on Groovy like a rule script, the rule node and the classification node can depend on the independent processing variable, in the process of executing the business process, the independent processing variable is calculated in advance, the calculation result is stored, and specifically, the calculation result can be stored in the corresponding request parameter of the rule node and the classification node. In the process of executing the business process, a system function or a custom function can be called for relevant processing.
In an optional embodiment, before taking an execution result corresponding to a last execution node and an execution result corresponding to a target execution node as the service result when the traversal is finished, the method may further include:
responding to a pause execution instruction, and storing current execution information into the target service request parameter;
and taking the executing node indicated by the current executing information as the current executing node under the condition of receiving an instruction of restarting the service request.
In a specific embodiment, the current execution information is used to indicate a current execution node or a next execution node, receive an execution suspension instruction when a flow step corresponding to the current execution node is not executed completely, that is, when an execution result corresponding to the current execution node is not obtained, store an execution node identifier of the current execution node in the target service request parameter, and receive an execution suspension instruction when an execution result corresponding to the current execution node is obtained, store an execution node identifier of the next execution node in the target service request parameter.
In a specific embodiment, in response to the instruction to suspend execution, the corresponding execution node identifier may be directly obtained for storage, or the execution site snapshot may be obtained for storage.
In the above embodiment, in response to the instruction for suspending execution, the current execution node is stored, so that, when the instruction for restarting the service request is received, the corresponding flow step is continuously executed from the current execution node, thereby implementing interruption and restart of service flow execution, improving flexibility of flow execution, and saving service resources.
In the execution process of the business process, various execution modes such as sequential execution, branch execution, interrupt restarting and the like can be supported, and the use requirements of various business scenes are met.
In an optional embodiment, the method may further comprise:
and triggering the suspended execution instruction when the execution result of the current flow step indicates suspended execution.
In a specific embodiment, the instruction to suspend execution is triggered when the current execution node is a result determination node and the execution result is an audit.
In an optional embodiment, the method may further comprise:
inquiring business data corresponding to the current flow step before executing the current flow step;
and triggering the pause execution instruction under the condition that the business data corresponding to the current flow step is not inquired.
In practical application, flow step interceptors are opened before flow steps, when a decision engine is integrated with a business system, related business logic can be realized in the interceptors, each interceptor comprises a front-end method and a back-end method, the front-end method of the interceptor can be executed before the current flow step is executed, the back-end method of the interceptor can be executed after the current flow step is executed to obtain an execution result, specifically, the front-end method of the flow step interceptor can be used for obtaining external data corresponding to the flow steps, filtering the flow steps and the like, the external data corresponding to the flow steps can be external data required for executing the flow steps, and the back-end method of the flow step interceptor can store the execution result and record the execution details of each flow step and the like.
The service processing method described in the foregoing embodiment of the present application is described below by taking a credit service in a financial scenario as an example, fig. 4 is a flowchart of a credit service shown in an exemplary embodiment, and the service flow information of the credit service is shown in fig. 4, the service logic of the credit service flow is to perform area identification first, perform age determination after the identification is passed, acquire a pedestrian report if the age information in the service request parameter is greater than a preset age threshold, and perform result determination to output an execution result if the age information in the service request parameter is not satisfied; and after the pedestrian report is acquired, identifying according to the credit granting rule, judging the result based on the identification result, and outputting the execution result.
According to the service logic, the execution nodes in the service flow information are determined to comprise a rule node, a rule group node, a classification node, two result judgment nodes and an external system node.
Specifically, the rule node identifier is a rule 001, the rule group node identifier is a rule group 001, the classification node identifier is a classification 001, the two result determination node identifiers are a result determination 001 and a result determination 002, respectively, and the external system node identifier is an external system 001. A rule script corresponding to the rule 001 is "region =" china ", if the regional information in the service request parameter is china, the execution result of the flow step is pass, otherwise, the execution result is reject, the reason information is that the region does not meet the requirement, and the next execution node is identified as class 001; the rule script corresponding to the classification 001 is 'age > 18', if the age information in the service request parameter is more than 18 years old, the next execution node is identified as the external system 001, otherwise, the next execution node is identified as the result judgment 001; judging whether the execution result corresponding to 001 is a rejection result, if so, judging that the reason information is 'age is not in accordance with the requirement', marking the next execution node as null, outputting the execution result, and ending the execution; the description information corresponding to the external system 001 is an external method for acquiring the pedestrian report, and the next execution node is identified as a rule group 001; the description information corresponding to the rule group 001 is a group of credit granting rules, and the next execution node identifier is a result judgment 002; and judging the flow step corresponding to the 002 based on the execution result corresponding to the rule group 001, wherein the next execution node is marked to be empty, outputting the final execution result, and ending the execution.
According to the execution sequence of the credit service and the execution node identification, the execution nodes are arranged to generate service flow information of the credit service, the service flow information identification is a flow 001, the service flow information comprises a rule 001, a classification 001, an external system 001, a result judgment 001, a rule group 001 and a result judgment 002, the first execution node identification is the rule 001, and the service flow control information is not completely executed.
In a specific embodiment, the service request parameter of the credit service includes: the name of the user: zhang three, age: 36, identification: 330100xxxxxxxx, region: china, service flow information identification: scheme 001.
Responding to the service request of the credit service, before executing the service flow, executing a prepositive method of a service flow interceptor, acquiring external data commonly required by a plurality of flow steps in the service flow, recording service request parameters, identifying the flow 001 according to service flow information in the service request parameters, determining that target service flow information is service flow information corresponding to the flow 001, starting from a rule node corresponding to a first execution node identification rule 001 because the service request parameters do not include execution node identification, executing the service flow based on the service request parameters and the execution node identification, executing the prepositive method of the flow step interceptor before executing each flow step, acquiring the external data required by the current flow step, judging whether the execution is suspended, and not processing under the current embodiment.
Executing corresponding flow steps according to the description information corresponding to the rule 001, storing an execution result into the service request parameter on the basis that the region value in the service request parameter is China and the execution result is passed, and identifying the next execution node as a classification 001; executing corresponding flow steps according to the description information corresponding to the classification 001, and identifying the next execution node as an external system 001 based on the age value 36 and the age value more than 18 in the service request parameter; executing corresponding flow steps according to the description information corresponding to the external system 001, inquiring the pedestrian information of the external system based on the user name and the identity in the service request parameter, storing an execution result into the service request parameter, and identifying the next execution node as a rule group 001; executing corresponding process steps according to the description information corresponding to the rule group 001, executing the description information corresponding to the rule nodes in the rule group based on the execution result of the external system nodes and the sequence in the rule group, wherein the execution result is audit, and meanwhile, credit line and credit grade are output, at the moment, the reason information is 'manual audit is needed', the execution process is suspended, the next execution node identifier is inquired to be the result judgment 002, the execution site snapshot is stored, the process execution corresponding to the current execution node is completed, and the next execution node identifier, the execution site snapshot and the execution result are stored in the service request parameter.
And restarting the service request under the condition that the manual review is passed, wherein the current service request parameters comprise: the user name: zhang three, age: 36, identification: 330100xxxxxxxx, region: china, service flow information identification: flow 001, next execution node identification: the result is judged to be 002.
Receiving a command for restarting the service request, based on the next execution node identifier in the current service request parameter, continuing to execute the service flow from the result judgment 002, based on the execution result corresponding to the rule group 001 which is the last execution node, judging that the execution result of the 002 is passed by the result judgment, outputting the credit line and the credit level, inquiring that the next execution node identifier is empty, combining the execution results corresponding to the execution nodes, obtaining the execution result of the service flow and outputting the execution result, and ending the execution.
As can be seen from the technical solutions provided in the embodiments of the present specification, in the present specification, the service flow information is determined in response to the service request, where the service flow information includes an execution node description sequence, and the execution node description sequence is used to indicate execution nodes corresponding to multiple flow steps in the execution process of the target service, and the description of the service rule corresponding to the service flow can be implemented through the flow arrangement model component, so that the service flow arrangement is simplified, meanwhile, secondary development and expansion are facilitated, and flexibility of flow management can be improved. In addition, in the execution process of the business process, various execution modes such as sequential execution, branch execution, interrupt restarting and the like can be supported, and the use requirements of various business scenes are met. And a plurality of interceptors are provided, which can be deeply integrated with the business system.
Fig. 5 is a block diagram illustrating a traffic processing apparatus according to an example embodiment. Referring to fig. 5, the apparatus includes:
a response module 510, configured to determine, in response to a service request for a target service, target service flow information from at least one piece of preset service flow information, where the target service flow information includes an execution node description sequence, and the execution node description sequence is used to indicate execution nodes corresponding to multiple flow steps in an execution process of the target service, and the service request includes a target service request parameter.
An executing module 520, configured to execute the multiple process steps based on the executing node corresponding to the executing node description sequence and the target service request parameter, so as to obtain a service result of the target service.
Optionally, the execution node description sequence includes multiple execution node identifiers arranged based on a target execution sequence, where the multiple execution node identifiers are execution node identifiers corresponding to the multiple process steps, and the execution module 520 may include:
a traversal unit configured to traverse the plurality of execution node identifiers based on the target execution order;
a first execution unit, configured to execute a current process step in the multiple process steps based on a current execution node and a current request parameter corresponding to a currently traversed execution node identifier when the current execution node identifier is traversed to any execution node identifier and the any execution node identifier is a first execution node identifier, and obtain an execution result of the current process step, where the current request parameter is a request parameter corresponding to the current execution node in the target service request parameter;
a second execution unit, configured to execute the current process step based on the current execution node, the current request parameter, and an execution result corresponding to a previous execution node when the current execution node is traversed to any execution node identifier and the any execution node identifier is not a first execution node identifier, so as to obtain an execution result of the current process step;
and the output unit is used for taking an execution result corresponding to the last execution node and an execution result corresponding to a target execution node as the service result under the condition that the traversal is finished, wherein the target execution node is the execution node corresponding to the process step of which the execution result needs to be output.
Optionally, before the output unit, the apparatus may further include:
a suspended execution module, configured to store current execution information in the target service request parameter in response to a suspended execution instruction, where the current execution information is used to indicate the current execution node;
and the restarting module is used for taking the execution node indicated by the current execution information as the current execution node under the condition of receiving an instruction of restarting the service request.
Optionally, the apparatus may further include:
and the first suspended execution instruction determining module is used for triggering the suspended execution instruction under the condition that the execution result of the current flow step indicates that the execution is suspended.
Optionally, the apparatus may further include:
a service data query module, configured to query service data corresponding to the current flow step before executing the current flow step;
and the second execution pause instruction determining module is used for triggering the execution pause instruction under the condition that the service data corresponding to the current process node flow step is not inquired.
Optionally, the apparatus may further include:
a service execution logic information obtaining module, configured to obtain service execution logic information of at least one preset service, where the at least one preset service includes the target service;
the execution node determining module is used for determining a plurality of preset execution nodes corresponding to each preset service based on the service execution logic information, wherein the preset execution nodes comprise at least one of rule nodes, rule group nodes, classification nodes, result judging nodes and external system nodes;
and the arrangement module is used for arranging the plurality of preset execution nodes based on the preset execution sequence corresponding to each preset service and the execution node identifiers of the plurality of preset execution nodes to generate the at least one piece of preset service flow information.
Optionally, the target service request parameter includes a target service flow information identifier, and the response module 510 may include:
and the target service flow information determining unit is used for responding to a service request aiming at the target service and determining the target service flow information corresponding to the target service flow information identifier from the at least one piece of preset service flow information.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating an electronic device for service processing, which may be a terminal, according to an exemplary embodiment, and an internal structure diagram thereof may be as shown in fig. 6. The electronic device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment 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 electronic device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a business process method. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic 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 electronic equipment, an external keyboard, a touch pad or a mouse and the like.
Fig. 7 is a block diagram illustrating an electronic device for business processing, which may be a server, according to an example embodiment, and an internal structure thereof may be as shown in fig. 7. The electronic device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment 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 operating system and the computer program to run on the non-volatile storage medium. The network interface of the electronic device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a method of service processing.
It will be understood by those skilled in the art that the configurations shown in fig. 6 or fig. 7 are only block diagrams of some configurations relevant to the present disclosure, and do not constitute a limitation on the electronic device to which the present disclosure is applied, and a specific electronic device may include more or less components than those shown in the drawings, or may combine some components, or have a different arrangement of components.
In an exemplary embodiment, there is also provided an electronic device including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the business processing method as in the disclosed embodiments of the invention.
In an exemplary embodiment, there is also provided a computer-readable storage medium, in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a business processing method in the disclosed embodiments of the present invention.
In an exemplary embodiment, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the business process method in the disclosed embodiments of the invention.
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, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. 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 (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims (10)

1. A method for processing a service, comprising:
responding to a service request aiming at a target service, determining target service flow information from at least one piece of preset service flow information, wherein the target service flow information comprises an execution node description sequence, the execution node description sequence is used for indicating execution nodes corresponding to a plurality of flow steps in the execution process of the target service, and the service request comprises a target service request parameter;
and executing the multiple process steps based on the execution node corresponding to the execution node description sequence and the target service request parameter to obtain a service result of the target service.
2. The service processing method according to claim 1, wherein the executing node description sequence includes a plurality of executing node identifiers arranged according to a target executing sequence, the executing node identifiers are corresponding executing node identifiers of the flow steps, and executing the flow steps based on the executing node corresponding to the executing node description sequence and the target service request parameter to obtain the service result of the target service includes:
traversing the plurality of execution node identifications based on the target execution order;
under the condition that any execution node identifier is traversed and any execution node identifier is a first execution node identifier, executing a current flow step in the multiple flow steps based on a current execution node and a current request parameter corresponding to the currently traversed execution node identifier to obtain an execution result of the current flow step, wherein the current request parameter is a request parameter corresponding to the current execution node in the target service request parameter;
under the condition that any execution node identification is traversed and is not the first execution node identification, executing the current flow step based on the current execution node, the current request parameter and the execution result corresponding to the last execution node to obtain the execution result of the current flow step;
and under the condition that the traversal is finished, taking an execution result corresponding to the last execution node and an execution result corresponding to a target execution node as the service result, wherein the target execution node is the execution node corresponding to the process step of which the execution result needs to be output.
3. The service processing method according to claim 2, wherein before taking an execution result corresponding to a last execution node and an execution result corresponding to a target execution node as the service results when the traversal is finished, the method further comprises:
responding to a pause execution instruction, and storing current execution information into the target service request parameter, wherein the current execution information is used for indicating the current execution node;
and taking the execution node indicated by the current execution information as the current execution node under the condition of receiving an instruction of restarting the service request.
4. A service handling method according to claim 3, wherein the method further comprises:
and triggering the execution suspension instruction when the execution result of the current flow step indicates suspension of execution.
5. A service handling method according to claim 3, characterized in that the method further comprises:
inquiring business data corresponding to the current flow step before executing the current flow step;
and under the condition that the service data corresponding to the flow step of the current flow node is not inquired, triggering the execution pause instruction.
6. A service handling method according to any of claims 1 to 5, characterized in that the method further comprises:
acquiring service execution logic information of at least one preset service, wherein the at least one preset service comprises the target service;
determining a plurality of preset execution nodes corresponding to each preset service based on the service execution logic information, wherein the plurality of preset execution nodes comprise at least one of rule nodes, rule group nodes, classification nodes, result judgment nodes and external system nodes;
and arranging the preset execution nodes based on the corresponding preset execution sequence of each preset service and the execution node identifications of the preset execution nodes to generate the at least one piece of preset service flow information.
7. The method according to any one of claims 1 to 5, wherein the target service request parameter includes a target service flow information identifier, and the determining the target service flow information from at least one preset service flow information in response to the service request for the target service includes:
and responding to a service request aiming at the target service, and determining the target service process information corresponding to the target service process information identification from the at least one piece of preset service process information.
8. A traffic processing apparatus, comprising:
the system comprises a response module, a service request module and a service processing module, wherein the response module is used for responding to a service request aiming at a target service and determining target service flow information from at least one piece of preset service flow information, the target service flow information comprises an execution node description sequence, the execution node description sequence is used for indicating execution nodes corresponding to a plurality of flow steps in the execution process of the target service, and the service request comprises target service request parameters;
and the execution module is used for executing the multiple process steps based on the execution node corresponding to the execution node description sequence and the target service request parameter to obtain a service result of the target service.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the traffic processing method of any of claims 1 to 7.
10. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform a business process method of any one of claims 1 to 7.
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Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110307404A1 (en) * 2010-06-15 2011-12-15 Jochen Wickel Managing consistent interfaces for business document message monitoring view, customs arrangement, and freight list business objects across heterogeneous systems
US20120179494A1 (en) * 2010-05-21 2012-07-12 Hsbc Technologies Inc. Account opening flow configuration computer system and process for implementing same
AU2013200568A1 (en) * 2006-07-31 2013-02-21 Accenture Global Services Limited Work allocation model
AU2015203175A1 (en) * 2006-07-31 2015-07-09 Accenture Global Services Limited Work allocation model
CN108432208A (en) * 2016-12-15 2018-08-21 华为技术有限公司 A kind of arranging service method, apparatus and server
CN110262886A (en) * 2019-06-24 2019-09-20 上海商汤智能科技有限公司 Task executing method and device, electronic equipment and storage medium
CN110659800A (en) * 2019-08-15 2020-01-07 平安科技(深圳)有限公司 Risk monitoring processing method and device, computer equipment and storage medium
CN111966334A (en) * 2020-08-17 2020-11-20 支付宝(杭州)信息技术有限公司 Service processing method, device and equipment
CN112114894A (en) * 2020-08-14 2020-12-22 咪咕文化科技有限公司 Process processing method and device based on Activiti process engine and electronic equipment
CN112686671A (en) * 2021-01-07 2021-04-20 腾讯科技(深圳)有限公司 Intelligent contract deployment method, device, equipment and medium based on block chain
CN113110963A (en) * 2021-04-28 2021-07-13 北京京东拓先科技有限公司 Service processing method, service processing device, electronic equipment and readable storage medium
CN113342484A (en) * 2021-05-14 2021-09-03 深圳奥哲网络科技有限公司 Process engine method, system, device and storage medium
CN113506035A (en) * 2021-07-28 2021-10-15 中国工商银行股份有限公司 Method, device and equipment for determining approval process
CN114219207A (en) * 2021-11-10 2022-03-22 招银云创信息技术有限公司 Business decision method, system, device, computer equipment and storage medium
CN114519038A (en) * 2022-01-24 2022-05-20 土巴兔集团股份有限公司 Rule engine implementation method and device, electronic equipment and storage medium
CN114595919A (en) * 2021-12-28 2022-06-07 南京星云数字技术有限公司 Business process arranging method and device, computer equipment and storage medium
US20220215043A1 (en) * 2020-02-05 2022-07-07 Hatha Systems, LLC System and method for determining and representing a lineage of business terms across multiple software applications
CN114881616A (en) * 2022-06-17 2022-08-09 平安消费金融有限公司 Business process execution method and device, electronic equipment and storage medium

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2013200568A1 (en) * 2006-07-31 2013-02-21 Accenture Global Services Limited Work allocation model
AU2015203175A1 (en) * 2006-07-31 2015-07-09 Accenture Global Services Limited Work allocation model
US20120179494A1 (en) * 2010-05-21 2012-07-12 Hsbc Technologies Inc. Account opening flow configuration computer system and process for implementing same
US20110307404A1 (en) * 2010-06-15 2011-12-15 Jochen Wickel Managing consistent interfaces for business document message monitoring view, customs arrangement, and freight list business objects across heterogeneous systems
CN108432208A (en) * 2016-12-15 2018-08-21 华为技术有限公司 A kind of arranging service method, apparatus and server
CN110262886A (en) * 2019-06-24 2019-09-20 上海商汤智能科技有限公司 Task executing method and device, electronic equipment and storage medium
CN110659800A (en) * 2019-08-15 2020-01-07 平安科技(深圳)有限公司 Risk monitoring processing method and device, computer equipment and storage medium
US20220215043A1 (en) * 2020-02-05 2022-07-07 Hatha Systems, LLC System and method for determining and representing a lineage of business terms across multiple software applications
CN112114894A (en) * 2020-08-14 2020-12-22 咪咕文化科技有限公司 Process processing method and device based on Activiti process engine and electronic equipment
CN111966334A (en) * 2020-08-17 2020-11-20 支付宝(杭州)信息技术有限公司 Service processing method, device and equipment
CN112686671A (en) * 2021-01-07 2021-04-20 腾讯科技(深圳)有限公司 Intelligent contract deployment method, device, equipment and medium based on block chain
CN113110963A (en) * 2021-04-28 2021-07-13 北京京东拓先科技有限公司 Service processing method, service processing device, electronic equipment and readable storage medium
CN113342484A (en) * 2021-05-14 2021-09-03 深圳奥哲网络科技有限公司 Process engine method, system, device and storage medium
CN113506035A (en) * 2021-07-28 2021-10-15 中国工商银行股份有限公司 Method, device and equipment for determining approval process
CN114219207A (en) * 2021-11-10 2022-03-22 招银云创信息技术有限公司 Business decision method, system, device, computer equipment and storage medium
CN114595919A (en) * 2021-12-28 2022-06-07 南京星云数字技术有限公司 Business process arranging method and device, computer equipment and storage medium
CN114519038A (en) * 2022-01-24 2022-05-20 土巴兔集团股份有限公司 Rule engine implementation method and device, electronic equipment and storage medium
CN114881616A (en) * 2022-06-17 2022-08-09 平安消费金融有限公司 Business process execution method and device, electronic equipment and storage medium

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
XIAOYAN LIN等: "Value and governance of high-speed railway", 《FRONTIERS OF ENGINEERING MANAGEMENT》 *
XIAOYAN LIN等: "Value and governance of high-speed railway", 《FRONTIERS OF ENGINEERING MANAGEMENT》, no. 04, 15 December 2017 (2017-12-15) *
张信东等: "企业投资主导要素研究", 《科研管理》 *
张信东等: "企业投资主导要素研究", 《科研管理》, no. 02, 20 February 2018 (2018-02-20) *

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