CN115033816A - Rule engine-based business processing method, apparatus, computer equipment and medium - Google Patents

Abstract

The present application applies to the technical field of rule engines, and in particular, relates to a business processing method, apparatus, computer equipment and medium based on a rule engine. The method obtains the business data and the business state of the business data in the business process, thereby determines the target process node, calls N rule configuration tables corresponding to the target process node, parses each rule configuration table, determines the order of the rule nodes, and arranges the business The data is matched with the corresponding rule content according to the order of the rule nodes, and the matching rule nodes and the unmatched rule nodes are determined. Combined with the next stage processing conditions of the target process node, the next stage process node is determined, and the business data is updated in the business process. In the business state, set multiple rule configuration tables in one process node to match multiple rules, avoid setting multiple process nodes, reduce the complexity of process node design, and satisfy the same process node in practical application scenarios. The need for multiple rules.

Description

Rule engine-based business processing method, apparatus, computer equipment and medium

technical field

The present application applies to the technical field of rule engines, and in particular, relates to a business processing method, apparatus, computer equipment and medium based on a rule engine.

Background technique

At present, with the popularization of Internet technology, online approval, testing, verification and other methods have become the audit methods to effectively improve work efficiency to meet the huge business audit needs. However, the above-mentioned audit methods all need to rely on platforms, systems, etc. In the case of complex business and frequent changes in the process, it is necessary to modify and launch the hard-coding related to the business or process in the platform or system. In this case, it is necessary to Lots of resources to maintain a platform or system. In order to reduce the difficulty and complexity of maintenance, a rule engine is used to separate the process nodes from the hard codes executed by the audit, and the hard codes are changed into codes and stored in the database to form a rule engine, which executes the corresponding process each time. When the node is used, the rules in the rule engine are called for automatic auditing and other operations. However, in terms of actual usage scenarios, there may be more than one rule corresponding to a process node. It is necessary to design redundant nodes to execute operations that should be completed in the same node. , which makes the design of process nodes more complicated, which is not conducive to modification and application. Therefore, how to realize the processing of complex services and improve the applicability in actual scenarios while ensuring the basic process nodes has become an urgent problem to be solved.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present application provide a business processing method, device, computer equipment and medium based on a rule engine, so as to solve the problem of realizing complex business processing under the condition of ensuring basic process nodes, so as to improve the performance in practical scenarios. question of applicability.

In a first aspect, an embodiment of the present application provides a rule engine-based business processing method, where the business processing method includes:

Acquiring business data and the business state of the business data in the business process, analyzing the business state, and determining the target process node corresponding to the business data;

Call N rule configuration tables corresponding to the target process node, parse each rule configuration table, and determine the order of the rule nodes, where the rule configuration table contains the current rule node, the current rule content, the preceding rule node and The rear rule node, N is an integer greater than 1;

The business data is sequentially matched with the corresponding rule content according to the order of the rule nodes, and the rule nodes that hit and match and the rule nodes that do not hit are determined;

According to the hit matching rule node and the miss matching rule node, combined with the next stage processing conditions of the target process node, determine the next stage process node, and update the business data according to the next stage process node The business state in which the business process is located.

In one embodiment, before the business data is sequentially matched with the corresponding rule content according to the order of the rule nodes, and before determining the rule node that hits the match and the rule node that does not hit the match, it also includes:

The corresponding rule contents are precompiled in sequence according to the ordering of the rule nodes;

Cache the precompiled time sequence and the corresponding precompiled results in sequence to form a cache queue;

The business data is sequentially matched with the corresponding rule content according to the order of the rule nodes, and the rule nodes that are hit and matched and the rule nodes that are not matched include:

The precompiled results in the cache queue are sequentially matched with the service data, and the rule nodes that hit the matching and the rule nodes that do not hit are determined.

In one embodiment, the precompiled results in the cache queue are sequentially matched with the service data, and determining the matching rule node and the missing matching rule node include:

Using an expression evaluation engine to sequentially perform expression parsing on the precompiled results in the cache queue to obtain corresponding parsing results;

Compare the similarity between the corresponding analysis result and the business data, determine that the rule node corresponding to the analysis result whose similarity meets the threshold is the rule node for hit matching, and determine that the rule node corresponding to the analysis result whose similarity does not meet the threshold is Missing matching rule nodes.

In one embodiment, after the business data is sequentially matched with the corresponding rule content according to the order of the rule nodes, and after determining the rule node that hits the match and the rule node that does not hit the match, it also includes:

Determine the display template corresponding to the matching rule node from the display template database;

The business data is filled in the display template for display.

In one embodiment, before calling the N rule configuration tables corresponding to the target process nodes, parsing each rule configuration table, and determining the order of the rule nodes, the method further includes:

Get the user's configuration request;

calling a configuration template table according to the configuration request, where the configuration template table is used to collect modification data of the original configuration by the user;

Using the collected modification data, the configuration template table is updated, and the updated configuration template table is determined to be a rule configuration table.

In one embodiment, according to the configuration request, invoking the configuration template table includes:

Parse the configuration request, and determine the type information of the process node corresponding to the configuration request;

According to the type information, the configuration template table is determined and called from the configuration template database.

In one embodiment, according to the hit matching rule node and the miss matching rule node, combined with the next stage processing conditions of the target process node, determining the next stage process node includes:

If the rule node that does not hit the matching rule is the first rule node in the rule node ordering, it is determined that the rule configuration is wrong; if the rule node that hits the rule is the first rule node in the rule node ordering, then Make sure the rules are configured correctly;

If it is determined that the rule configuration is incorrect, the next stage process node is determined to be the previous process node of the target process node, and if it is determined that the rule configuration is correct, the next stage process node is determined to be the next process node of the target process node, wherein, The processing condition of the next stage of the target process node is to return to the previous process node when the rule configuration is incorrect, and execute the next process node when the rule matching is incorrect.

In a second aspect, an embodiment of the present application provides a rule engine-based service processing apparatus, where the service processing apparatus includes:

a process node determination module, configured to acquire business data and the business state of the business data in the business process, analyze the business state, and determine the target process node corresponding to the business data;

The rule node sorting module is used to call N rule configuration tables corresponding to the target process nodes, parse each rule configuration table, and determine the order of the rule nodes, where the rule configuration table contains the current rule node, the current rule content , the pre-rule node and the post-rule node, N is an integer greater than 1;

A rule node matching module, configured to sequentially match the business data with the corresponding rule content according to the order of the rule nodes, and determine the rule node that hits the match and the rule node that does not hit the match;

A process node processing module, configured to determine the next-stage process node according to the hit-matched rule node and the miss-matched rule node, in combination with the next-stage processing conditions of the target process node, and according to the next-stage process A node, which updates the business state of the business data in the business process.

In one embodiment, the service processing apparatus further includes:

The pre-compilation module is configured to, before matching the business data with the corresponding rule content in order according to the order of the rule nodes, and before determining the rule nodes that hit the match and the rule nodes that did not hit the match, pre-order the rule nodes in order. Compile the corresponding rule content;

The cache module is used to cache the precompiled time sequence and the corresponding precompiled results in sequence to form a cache queue;

The rule node matching module includes:

A rule node matching unit, configured to sequentially match the precompiled results in the cache queue with the service data, and determine a rule node that hits a match and a rule node that doesn't match.

In one embodiment, the rule node matching unit includes:

a parsing operation subunit, used for using an expression evaluation engine to perform expression parsing on the precompiled results in the cache queue in turn to obtain corresponding parsing results;

The matching operation subunit is used to compare the similarity between the corresponding analysis result and the business data, determine that the rule node corresponding to the analysis result whose similarity meets the threshold is the rule node that hits the matching, and determine that the similarity does not meet the threshold. The rule node corresponding to the parsing result is the rule node of the miss match.

In one embodiment, the service processing apparatus further includes:

The display template determination module is used to match the business data with the corresponding rule content in sequence according to the rule node ordering, and after determining the hit matching rule node and the miss matching rule node, determine the hit from the display template database The display template corresponding to the matching rule node;

The display module is used for filling the business data into the display template for display.

In one embodiment, the service processing apparatus further includes:

a configuration request obtaining module, configured to obtain the user's configuration request before calling the N rule configuration tables corresponding to the target process nodes, parse each rule configuration table, and determine the ordering of the rule nodes;

a configuration template calling module, configured to call a configuration template table according to the configuration request, where the configuration template table is used to collect modification data of the original configuration by the user;

The configuration table updating module is used to update the configuration template table using the collected modification data, and determine that the updated configuration template table is a rule configuration table.

In one embodiment, the configuration template invocation module includes:

a configuration type determination unit, configured to parse the configuration request, and determine the type information of the process node corresponding to the configuration request;

The configuration template calling unit is configured to determine and call the configuration template table from the configuration template database according to the type information.

In one embodiment, the process node processing module includes:

The rule configuration judgment module is used to determine that the rule configuration is wrong if the rule node of the miss match is the first rule node in the rule node sorting, and if the rule node of the hit rule is the rule node sorting The first rule node determines that the rule configuration is correct;

The next node determination module is configured to determine that the next stage process node is the previous process node of the target process node if it is determined that the rule configuration is incorrect, and if it is determined that the rule configuration is correct, then determine that the next stage process node is the target process node The next process node of the target process node, wherein the processing condition of the next stage of the target process node is to return to the previous process node when the rule configuration is incorrect, and execute the next process node when the rule matching is incorrect.

In a third aspect, an embodiment of the present application provides a computer device, the computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, where the processor executes the The computer program implements the rule engine-based business processing method described in the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the rule-based engine according to the first aspect. business processing method.

Compared with the prior art, the embodiments of the present application have the following beneficial effects: the present application obtains the business data and the business state of the business data in the business process, analyzes the business state, determines the corresponding target process node, and invokes the corresponding target process node. Corresponding N rule configuration tables, parse each rule configuration table, and determine the order of rule nodes. The rule configuration table contains the current rule node, the current rule content, the pre-rule node and the post-rule node, and the business data According to the order of the rule nodes, the corresponding rule content is matched in order, and the matching rule nodes and the missing matching rule nodes are determined. , determine the next stage process node, and update the business state of the business data in the business process according to the next stage process node, set multiple rule configuration tables in one process node to match multiple rules, avoid setting multiple process nodes , which reduces the complexity of the process node design, and at the same time, satisfies the requirements of the same process node for multiple rules in practical application scenarios.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present application. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic diagram of an application environment of a rule engine-based business processing method provided in Embodiment 1 of the present application;

2 is a schematic flowchart of a business processing method based on a rule engine provided in Embodiment 2 of the present application;

3 is a schematic flowchart of a rule engine-based business processing method provided in Embodiment 3 of the present application;

4 is a schematic structural diagram of a rule engine-based service processing apparatus provided in Embodiment 4 of the present application;

FIG. 5 is a schematic structural diagram of a computer device according to Embodiment 5 of the present application.

Detailed ways

In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without 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 is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and/or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and/or sets thereof.

It will also be understood that, as used in this specification and the appended claims, the term "and/or" refers to and including any and all possible combinations of one or more of the associated listed items.

As used in the specification of this application and the appended claims, the term "if" may be contextually interpreted as "when" or "once" or "in response to determining" or "in response to detecting ". Similarly, the phrases "if it is determined" or "if the [described condition or event] is detected" may be interpreted, depending on the context, to mean "once it is determined" or "in response to the determination" or "once the [described condition or event] is detected. ]" or "in response to detection of the [described condition or event]".

In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the description, and should not be construed as indicating or implying relative importance.

References in this specification to "one embodiment" or "some embodiments" and the like mean 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," "in other embodiments," etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless specifically emphasized otherwise. The terms "including", "including", "having" and their variants mean "including but not limited to" unless specifically emphasized otherwise.

The embodiments of the present application may acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

The basic technologies of artificial intelligence generally include technologies such as sensors, special artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation/interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning/deep learning.

It should be understood that the size of the sequence numbers of the steps in the following embodiments does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

In order to illustrate the technical solutions of the present application, the following specific embodiments are used for description.

The rule engine-based business processing method provided in the first embodiment of the present application can be applied in the application environment as shown in FIG. 1 , in which the client and the server communicate. Among them, clients include but are not limited to PDAs, desktop computers, notebook computers, ultra-mobile personal computers (UMPC), netbooks, cloud computing devices, personal digital assistants (PDAs), etc. computer equipment. The server can be implemented by an independent server or a server cluster composed of multiple servers.

Referring to FIG. 2, it is a schematic flowchart of a business processing method based on a rule engine provided in Embodiment 2 of the present application. The above business processing method based on a rule engine can be used in both the server and the client in FIG. 1, provided that The computer equipment corresponding to the above-mentioned server and client is connected to the corresponding business system, database, rule base, etc. to support necessary equipment required for business processing, or the business system is run in the computer equipment corresponding to the above-mentioned server and client, and Connect or configure databases, rule libraries, etc. The above-mentioned business processing method is used in a business system to realize the processing of business data in the business system, including state update of business data, rule verification, and the like. As shown in Figure 2, the rule engine-based business processing method may include the following steps:

In step S201, the business data and the business state of the business data in the business process are acquired, the business state is analyzed, and the target process node corresponding to the business data is determined.

In this application, the above-mentioned business processing method can be applied to any business system, so as to realize the processing of corresponding business data in the business system. In a business system, a processing flow is formulated for one of the business data according to the requirements, and the business data and its business state in the corresponding business process can be obtained at any time, and the corresponding process in the business process can be determined according to the business state. node (that is, the target process node).

Business data can refer to the approval data submitted in the business system, adding, deleting, modifying and checking data, etc. According to different application scenarios of the business system, the business data can contain different types; business process can refer to the process set in the business system, The business processes corresponding to different business data may be different; the business state may refer to the state of the business data in the business system, and the state is manually set according to requirements when the business system is established. For example, if the business system is a financial system, the business data can be financial approval data, and the business status includes the first-level approval status, the second-level approval status, and the loan status. For business processes such as review and loan, if the financial approval is completed in the first-level review, it will enter the second-level review, and the corresponding business status is the second-level review status.

After the business data reaches a certain business state in the business process, the attributes representing the business state in the business data can be updated according to the preconfigured attribute values of the business state. Analyzing the business state is to extract the attributes representing the business state of the business data. to get the property value. In the business system, the attribute value representing each business state forms a mapping relationship with the process node of the business process. Therefore, the process node can be determined after the business state is determined. In one embodiment, the mapping relationship may be represented by a mapping map.

Step S202, call N rule configuration tables corresponding to the target process node, parse each rule configuration table, and determine the order of the rule nodes.

In this application, the rule configuration table includes the current rule node, the current rule content, the preceding rule node, and the succeeding rule node, and N is an integer greater than 1.

The execution rules of the process nodes are separated from the nodes, and the execution rules are independently at least one rule configuration table. The rule configuration table is set with the name of the rule node, the content of the rule, the name of the pre-rule node and the name of the post-rule node. When the process node is separated from the execution rules, when the execution rules of the process nodes are modified, there is no need to hardcode the process nodes, which helps to improve the management efficiency.

The above process node corresponds to at least one rule configuration table, and each rule configuration table corresponds to one type of rule. Therefore, the process node can correspond to multiple rules, and the order of use of the rules is determined by the information configured in the rule configuration table. For example, the current rule node in the first rule configuration table is rule node A, the preceding rule node is rule node B, and the rear rule node is rule node C, then the rule content in the second rule configuration table needs to be in the The rule content corresponding to the rule node B can be executed only after the rule content is executed.

The rule configuration table can have the following structure:

Rule_category: The rule category corresponding to the current rule;

Rule_id: The corresponding ID under the Rule_category rule category. Under the unified category, the ID is unique, and its function is to locate the uniqueness of the nodes in the graph;

Prev_id: The corresponding pre-rule node ID under the Rule_category rule category;

Next_id: The corresponding post-rule node ID under the Rule_category rule category;

Rule_type: The type of rule, which is different from Rule_category, which represents the matching method of the current rule. For example, when rule_type is boolOne (see the enumeration class RuleTypeEnum for the latest definition), it represents the matching logic of the current rule;

Rule_content: rule, driven by the google aviator expression engine, supports four arithmetic operations, variable operations, ternary operators, etc.;

True_action: the text returned when the rule hits;

False_action: The copy returned when the rule is not hit.

Use the rule configuration table to configure rule nodes, so that the rules can be configured more flexibly, which not only supports the current business scenario, but also is more conducive to later expansion.

Optionally, before invoking the N rule configuration tables corresponding to the target process nodes, parsing each rule configuration table, and determining the order of the rule nodes, the method further includes:

Get the user's configuration request;

According to the configuration request, the configuration template table is called, and the configuration template table is used to collect the modification data of the original configuration by the user;

Using the collected modification data, the configuration template table is updated, and the updated configuration template table is determined as a rule configuration table.

Among them, the user can perform operations such as adding, deleting, modifying and checking the rule configuration table corresponding to the target process node according to the needs, that is, the user generates a configuration request, and the configuration request is used to indicate the type of the process node that the user wants to configure, and use this to call The corresponding configuration template table. In essence, the schema of all configuration template tables may be the same, and the original configurations in the configuration template tables corresponding to different process nodes may be different. Of course, in an embodiment, the structure and original configuration of the configuration template table invoked by different process node types may be different.

The user modifies the original configuration in the configuration template table, that is, configures the configuration template table to obtain a configured table. The configured table is a rule configuration table corresponding to the target process node. The target process node and rule configuration The table is divided, and the rule configuration table can be modified, so as to realize the modification of the rules of the target process node, which is simple and easy to implement.

Optionally, according to the configuration request, invoking the configuration template table includes:

Parse the configuration request, and determine the type information of the process node corresponding to the configuration request;

Based on the type information, the configuration template table is determined and recalled from the configuration template database.

The configuration request includes type information of process nodes, and different types correspond to corresponding configuration template tables, which can be stored in a configuration template database and can be called by query.

Step S203 , match the service data with the corresponding rule content in order according to the order of the rule nodes, and determine the rule nodes that hit the matching and the rule nodes that did not hit the matching.

In the present application, after determining the ordering of the rule nodes, the corresponding rule contents are called in sequence according to the ordering of the rule nodes to match the service data. Matching can refer to comparing the business data with the rule content to determine whether the business data conforms to the rule content. If the business data conforms to the rule content, it is determined as a hit match, and the corresponding rule node is the hit match rule. node, if the business data does not meet the requirements of the rule content, it is determined to be a miss match, and the corresponding rule node is the miss match rule node.

For example, the service data is a compressed data packet, and the content of the rule corresponding to a rule node is that the size of the data packet is not greater than the file size threshold. When the size of the compressed data package is larger than the file size threshold, the content does not meet the rules.

Optionally, before matching the business data with the corresponding rule content according to the order of the rule nodes, and determining the rule nodes that hit the matching and the rule nodes that did not hit the matching, the method further includes:

Precompile the corresponding rule content in sequence according to the order of the rule nodes;

Cache the precompiled time sequence and the corresponding precompiled results in sequence to form a cache queue;

Match the business data with the corresponding rule content in order according to the order of the rule nodes, and determine the rule nodes that hit and match and the rule nodes that do not hit include:

Match the precompiled results in the cache queue with the business data in sequence, and determine the matching rule node and the missing matching rule node.

Among them, in order to further accelerate the rule engine and deal with high concurrency scenarios, the rule content of the rule node can be pre-compiled, and the pre-compilation is performed in the order of the rule nodes, so that the pre-compilation results can be sequentially cached according to the time sequence of the pre-compilation. A cache queue is formed for subsequent matching operations. In one embodiment, the above-mentioned pre-compilation may introduce a Guava Cache plug-in, thereby pre-compiling rule content.

Pre-compilation is to form executable files, and the corresponding files are executed in sequence, so as to realize the matching judgment between business data and rules, and determine the rule nodes that hit the matching and the rule nodes that did not hit the matching.

Optionally, the precompiled results in the cache queue are sequentially matched with the business data, and the rule nodes that are hit and matched and the rule nodes that are not matched include:

Use the expression evaluation engine to perform expression parsing on the precompiled results in the cache queue in turn to obtain the corresponding parsing results;

Compare the similarity between the corresponding parsing results and the business data, determine that the rule node corresponding to the parsing result whose similarity meets the threshold is the rule node that hits the match, and determine that the rule node corresponding to the parsing result whose similarity does not meet the threshold is the one that misses the match rule node.

The essence of the rule content is a regular expression, and in the precompiled result, an expression evaluation engine needs to be used to parse the expression, so as to obtain a parsing result, and the parsing result may include a regular expression.

Compare the similarity between the parsing result and the business data, and determine whether they match according to the comparison result. If the parsing result is a regular expression, you can compare the character string corresponding to the business data with the regular expression to determine the character corresponding to the business data. Whether the string belongs to a regular expression, the threshold at this time is 100%. If so, it means that the business data is similar to the parsing result; otherwise, it means that the business data and the parsing result are dissimilar.

Step S204: Determine the next-stage process node according to the hit-matched rule node and the miss-matched rule node in combination with the next-stage processing conditions of the target process node.

In this application, at least one rule configuration table is included in a target process node, that is, at least one rule node is used for rule matching. Therefore, the number of matching rule nodes may be 0 or more, and there may be no hits. There can be 0 or more matching rule nodes.

The next-stage processing condition may refer to a condition that the target process node needs to meet to enter the next-stage processing, and the condition may be a combination of multiple conditions. For example, the processing condition of the next stage is that there is one matching rule node to enter the next process node, that is, as long as there is a matching rule node, the next stage process node is the next process node of the target process node in the business process; For another example, if the processing condition of the next node is that the first rule node in the rule node sorting is a miss-matched rule node, it needs to return to the previous process node, that is, the first rule node in the rule node sorting is a miss-matched rule node, and the next-stage process node is The previous process node of the target process node in the business process.

In one embodiment, the processing condition of the next stage may determine the next stage process node according to the ratio of the number of rule nodes that hit the rule to the number of rule nodes that did not hit the matching rule. For example, when the ratio exceeds the ratio threshold, the rule is hit. The number of rule nodes is large, and the next process node of the target process node in the business process is the next-stage process node. When the ratio is lower than the ratio threshold, the number of rule nodes that hit the rule is small, and the target process node in the business process The previous process node is used as the next stage process node.

Optionally, after matching the business data with the corresponding rule contents according to the order of the rule nodes, and determining the rule nodes that hit the matching and the rule nodes that did not hit the matching, the method further includes:

Determine the display template corresponding to the matching rule node from the display template database;

Fill in the business data into the display template for display.

Among them, in order to facilitate the user's viewing, let the user know the result of the rule matching, to judge whether the result is correct, and form the function of human-computer interaction. The business data is displayed. Of course, the display also needs to reflect the rule characteristics of the matching rule nodes. Therefore, a display template needs to be given according to the matching rule nodes, and the display template can represent the rule characteristics of the corresponding rule nodes.

Fill in the business data into the display template for display, so that the user can not only know the business data, but also know the matching rule nodes, so as to prevent the hit error in the matching and lead to a series of subsequent errors. The above-mentioned presentation template database and configuration template database may be stored in one database.

Step S205 , according to the next stage process node, update the business state of the business data in the business process.

In the present application, after determining the next stage process node, the attribute value of the current business state can be determined according to the relationship between the process node and the attribute value representing the business state, so as to update the business state with the attribute value. Finally, all process nodes and corresponding rule nodes form a response link to realize automatic processing of business data, which helps to improve processing efficiency.

The embodiment of the present application obtains the business data and the business state of the business data in the business process, analyzes the business state, determines the corresponding target process node, calls N rule configuration tables corresponding to the target process node, and parses each rule configuration table , determine the order of the rule nodes, the rule configuration table contains the current rule node, the current rule content, the pre-rule node and the post-rule node, and match the business data with the corresponding rule content according to the order of the rule nodes, determine The rule node that hits the match and the rule node that misses the match, according to the rule node that hits the match and the rule node that doesn't match, combined with the next-stage processing conditions of the target process node, determine the next-stage process node, and according to the next-stage process node, Update the business state of the business data in the business process, set multiple rule configuration tables in one process node to match multiple rules, avoid setting multiple process nodes, and reduce the complexity of process node design. In practical application scenarios, the same process node requires multiple rules.

Referring to FIG. 3, it is a schematic flowchart of a rule engine-based business processing method provided in Embodiment 3 of the present application. As shown in FIG. 3, the rule engine-based business processing method may include the following steps:

In step S301, the business data and the business state of the business data in the business process are acquired, the business state is analyzed, and the target process node corresponding to the business data is determined.

Step S302, call N rule configuration tables corresponding to the target process node, parse each rule configuration table, and determine the order of the rule nodes.

Step S303: Match the business data with the corresponding rule content in order according to the order of the rule nodes, and determine the rule nodes that hit the matching and the rule nodes that do not hit the matching.

The contents of steps S301 to S303 are the same as the above-mentioned steps S201 to S203 , and the descriptions of steps S201 to S203 may be referred to, which will not be repeated here.

Step S304, if the rule node that does not hit the matching rule is the first rule node in the rule node ordering, it is determined that the rule configuration is incorrect, and if the rule node that hits the rule is the first rule node in the rule node ordering, it is determined that the rule configuration is correct.

In this application, as long as the first rule node in the rule node sorting does not have a hit match, it means that the business data cannot pass through the target process node, that is, the output rule configuration is wrong, as long as the first rule node in the rule node sorting hits a match , it means that the business data can pass through the target process node, that is, the output rules are configured correctly.

In one embodiment, if there is no unmatched rule node, it is determined that the rule configuration is correct, that is, when all the rules are matched, the target process node can be passed.

Step S305, if it is determined that the rule configuration is wrong, the next stage process node is determined to be the previous process node of the target process node, and if it is determined that the rule configuration is correct, the next stage process node is determined to be the next process node of the target process node.

In the present application, the processing condition of the next stage of the target process node is to return to the previous process node when the rule configuration is incorrect, and execute the next process node when the rule matching is incorrect.

The next stage processing condition adopts a simple [0, 1] mode, that is, the rule configuration error is 0, and the rule configuration is correct 1. If 0 is received, the next stage process node is determined to be the previous process node of the target process node. to 1, the next stage process node is determined as the next process node of the target process node, thereby improving the

Step S306, according to the next stage process node, update the business state of the business data in the business process.

The content of step S306 is the same as that of the above-mentioned step S205, and reference may be made to the description of step S205, which will not be repeated here.

The rule engine proposed in the embodiment of the present application can automatically perform rule verification on the personnel addition information in the process according to the rules configured in the database, and return various corresponding processing methods according to the verification result. The configuration through the database eliminates the need for manpower that must be released when changing the rules. In this way, the manpower that must be invested in operations and institutions is greatly reduced, the efficiency of the entire rule change process is improved, and the new rules can be implemented faster and more agilely, and respond to the feedback of the front-line business on the specific details of the rules. This can help companies efficiently improve service quality and increase user satisfaction. The rule engine also encapsulates the complicated rules, making the code of the add-on project more concise and the core logic more clear and prominent, which is beneficial to reduce the maintenance cost in the later stage of the code and the start-up cost of new developers, and increase the project's performance and maintenance. sex. This makes projects easier to maintain and iterate, and long-term maintenance costs go down. The entire rule engine is designed to be lightweight, so as to fully support the existing business logic, keep it as lightweight as possible. Combined with business scenarios, the configuration logic of database configuration rules is designed, which can better respond to business needs and reduce labor costs.

Corresponding to the business processing method based on the rule engine of the above embodiment, FIG. 4 shows a block diagram of the structure of the business processing apparatus based on the rule engine provided in Embodiment 4 of the present application, and the above-mentioned business processing apparatus based on the rule engine is shown in FIG. 1 . It can be used in both the server and client of the above-mentioned server, provided that the computer equipment corresponding to the above-mentioned server and client is connected to the corresponding business system, database, rule base and other necessary equipment to support business processing, or the above-mentioned server Run the business system in the computer equipment corresponding to the client, and connect or configure the database, rule base, etc. The above-mentioned business processing method is used in a business system to realize the processing of business data in the business system, including state update of business data, rule verification, and the like. For the convenience of description, only the parts related to the embodiments of the present application are shown.

Referring to Figure 4, the rule engine-based business processing device includes:

The process node determination module 41 is used to obtain the business data and the business state of the business data in the business process, analyze the business state, and determine the target process node corresponding to the business data;

The rule node sorting module 42 is used to call N rule configuration tables corresponding to the target process node, parse each rule configuration table, and determine the order of the rule nodes. The rule configuration table contains the current rule node, the current rule content, the preamble The rule node and the subsequent rule node, N is an integer greater than 1;

The rule node matching module 43 is used to match the business data with the corresponding rule content in sequence according to the order of the rule nodes, and determine the rule node that hits the matching and the rule node that does not hit the matching;

The process node processing module 44 is used to determine the next stage process node according to the rule node that hits the matching and the rule node that does not hit the matching, in combination with the next stage processing conditions of the target process node, and according to the next stage process node, update the business data in the business process node. The business state the process is in.

Optionally, the service processing device further includes:

The pre-compilation module is used to pre-compile the corresponding rule content in order according to the order of the rule nodes before matching the business data with the corresponding rule content in order according to the order of the rule nodes, and before determining the matched rule nodes and the unmatched rule nodes;

The cache module is used to cache the precompiled time sequence and the corresponding precompiled results in sequence to form a cache queue;

The above-mentioned rule node matching module 43 includes:

The rule node matching unit is used to sequentially match the precompiled results in the cache queue with the service data, and determine the rule node that hits the match and the rule node that does not hit the match.

Optionally, the above rule node matching unit includes:

The parsing operation subunit is used to perform expression parsing on the precompiled results in the cache queue in turn by using the expression evaluation engine to obtain corresponding parsing results;

The matching operation sub-unit is used to compare the similarity between the corresponding analysis result and the business data, determine that the rule node corresponding to the analysis result whose similarity meets the threshold is the rule node that hits the matching, and determine that the analysis result whose similarity does not meet the threshold corresponds to The rule node is the rule node that misses the match.

Optionally, the service processing device further includes:

The display template determination module is used to match the business data with the corresponding rule content according to the order of the rule nodes, and determine the matching rule node from the display template database after determining the matching rule node and the missing matching rule node from the display template database. The corresponding display template;

The display module is used to fill in the business data into the display template for display.

Optionally, the service processing device further includes:

The configuration request obtaining module is used to obtain the user's configuration request before calling the N rule configuration tables corresponding to the target process node, parse each rule configuration table, and determine the order of the rule nodes;

The configuration template calling module is used to call the configuration template table according to the configuration request, and the configuration template table is used to collect the modification data of the original configuration by the user;

The configuration table updating module is used to update the configuration template table using the collected modified data, and determine that the updated configuration template table is a rule configuration table.

Optionally, the above configuration template calling module includes:

The configuration type determination unit is used to parse the configuration request and determine the type information of the process node corresponding to the configuration request;

The configuration template calling unit is used to determine and call the configuration template table from the configuration template database according to the type information.

Optionally, the above-mentioned process node processing module 44 includes:

The rule configuration judgment module is used to determine that the rule configuration is incorrect if the rule node that does not hit the matching rule is the first rule node in the rule node ordering, and if the rule node that hits the rule is the first rule node in the rule node ordering, determine The rules are configured correctly;

The next node determination module is used to determine that the next stage process node is the previous process node of the target process node if it is determined that the rule configuration is incorrect, and if it is determined that the rule configuration is correct, then determine that the next stage process node is the next process of the target process node node, where the next stage processing condition of the target process node is to return to the previous process node when the rule configuration is incorrect, and execute the next process node when the rule matching is incorrect.

It should be noted that the information exchange, execution process and other contents between the above modules are based on the same concept as the method embodiments of the present application, and the specific functions and technical effects brought by them can be found in the method embodiments section for details. Repeat.

FIG. 5 is a schematic structural diagram of a computer device according to Embodiment 5 of the present application. As shown in FIG. 5 , the computer device of this embodiment includes: at least one processor (only one is shown in FIG. 5 ), a memory, and a computer program stored in the memory and executable on the at least one processor, and the processor executes The computer program implements the steps in any of the foregoing embodiments of the rule engine-based business processing method.

The computer equipment may include, but is not limited to, a processor, a memory. Those skilled in the art can understand that FIG. 5 is only an example of a computer device, and does not constitute a limitation to the computer device. The computer device may include more or less components than the one shown, or combine some components, or different components , for example, it may also include a network interface, a display screen, an input device, and the like.

The processor may be a CPU, and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field- Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory includes a readable storage medium, an internal memory, etc., wherein the internal memory may be a memory of a computer device, and the internal memory provides an environment for the execution of an operating system and computer-readable instructions in the readable storage medium. The readable storage medium may be a hard disk of a computer device, and in other embodiments, it may also be an external storage device of the computer device, for example, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), Secure Digital (SD) card, flash card (Flash Card), etc. Further, the memory may also include both an internal storage unit of the computer device and an external storage device. The memory is used to store an operating system, an application program, a boot loader (Boot Loader), data, and other programs, such as program codes of computer programs, and the like. The memory may also be used to temporarily store data that has been or will be output.

Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in one processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit, and the above-mentioned integrated units may adopt hardware. It can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For the specific working process of the units and modules in the above apparatus, reference may be made to the corresponding process in the foregoing method embodiments, and details are not described herein again. The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium, and the computer program can be processed When the device is executed, the steps of the foregoing method embodiments may be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate forms, and the like. The computer-readable medium may include at least: any entity or device capable of carrying computer program code, recording medium, computer memory, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electrical Carrier signals, telecommunications signals, and software distribution media. For example, U disk, mobile hard disk, disk or CD, etc. In some jurisdictions, under legislation and patent practice, computer readable media may not be electrical carrier signals and telecommunications signals.

This application implements all or part of the processes in the methods of the above embodiments, and can also be completed by a computer program product. When the computer program product runs on a computer device, when the computer device executes, the implementation of the above method embodiments can be realized. step.

In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed apparatus/computer equipment and method may be implemented in other manners. For example, the apparatus/computer equipment embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components. May be combined or may be integrated into another system, or some features may be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

Units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The recorded technical solutions are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be included in the application. within the scope of protection.

Claims (10)

1. A business processing method based on a rule engine is characterized by comprising the following steps:

acquiring service data and a service state of the service data in a service process, analyzing the service state, and determining a target process node corresponding to the service data;

calling N rule configuration tables corresponding to the target process node, analyzing each rule configuration table, and determining rule node sequencing, wherein the rule configuration tables comprise a current rule node, current rule content, a preposed rule node and a postpositional rule node, and N is an integer greater than 1;

matching the service data with corresponding rule contents in sequence according to the rule node sequence, and determining a hit matched rule node and a miss matched rule node;

and determining a next-stage process node according to the hit matched rule node and the miss matched rule node and by combining the next-stage processing condition of the target process node, and updating the service state of the service data in the service process according to the next-stage process node.

2. The service processing method according to claim 1, wherein before the service data is sequentially matched with corresponding rule contents according to the rule node order, and a hit matched rule node and a miss matched rule node are determined, the method further comprises:

according to the rule node sequence, corresponding rule contents are compiled in advance in sequence;

sequentially caching corresponding precompiled results according to the precompiled time sequence to form a cache queue;

the business data is sequentially matched with the corresponding rule contents according to the rule node sequencing, and the determination of the rule node matched in hit and the rule node matched in miss comprises the following steps:

and matching the precompiled results in the cache queue with the service data in sequence, and determining a hit matched rule node and a miss matched rule node.

3. The business processing method of claim 2, wherein the matching of the precompiled results in the cache queue with the business data in sequence, and the determining of the rule node that matches a hit and the rule node that matches a miss comprises:

sequentially carrying out expression analysis on the precompiled results in the cache queue by using an expression evaluation engine to obtain corresponding analysis results;

and comparing the similarity of the corresponding analysis result with the business data, determining that the rule node corresponding to the analysis result with the similarity meeting the threshold is a hit matched rule node, and determining that the rule node corresponding to the analysis result with the similarity not meeting the threshold is a miss matched rule node.

4. The service processing method of claim 1, wherein after the service data is sequentially matched with corresponding rule contents according to the rule node order, and a hit matched rule node and a miss matched rule node are determined, the method further comprises:

determining a display template corresponding to the matched rule node from a display template database;

and filling the service data into the display template for display.

5. The method of claim 1, wherein before invoking N rule configuration tables corresponding to the target process node, parsing each rule configuration table, and determining a rule node ordering, the method further comprises:

acquiring a configuration request of a user;

calling a configuration template table according to the configuration request, wherein the configuration template table is used for collecting modification data of the user on the original configuration;

and updating the configuration template table by using the acquired modification data, and determining the updated configuration template table as a rule configuration table.

6. The transaction processing method of claim 5, wherein invoking a configuration template table according to the configuration request comprises:

analyzing the configuration request, and determining the type information of the process node corresponding to the configuration request;

and determining and calling a configuration template table from a configuration template database according to the type information.

7. The business processing method of any one of claims 1 to 6, wherein determining the next-stage process node according to the hit matched rule node and the miss matched rule node in combination with the next-stage processing condition of the target process node comprises:

if the rule node which is not matched in the hit rule is the first rule node in the rule node sequence, determining that the rule configuration is wrong, and if the rule node which is matched in the hit rule is the first rule node in the rule node sequence, determining that the rule configuration is correct;

and if the rule configuration is determined to be wrong, determining that the next-stage process node is the previous process node of the target process node, and if the rule configuration is determined to be correct, determining that the next-stage process node is the next process node of the target process node, wherein the next-stage processing condition of the target process node is that the previous process node is returned when the rule configuration is wrong, and the next process node is executed when the rule configuration is wrong.

8. A rules engine based business processing apparatus, wherein the business processing apparatus comprises:

the flow node determining module is used for acquiring service data and a service state of the service data in a service flow, analyzing the service state and determining a target flow node corresponding to the service data;

the rule node sequencing module is used for calling N rule configuration tables corresponding to the target process node, analyzing each rule configuration table and determining rule node sequencing, wherein the rule configuration tables comprise a current rule node, current rule content, a preposed rule node and a postpositional rule node, and N is an integer greater than 1;

the rule node matching module is used for matching the service data with corresponding rule contents in sequence according to the rule node sequence and determining a hit matched rule node and a miss matched rule node;

and the process node processing module is used for determining a next-stage process node according to the hit matched rule node and the miss matched rule node and by combining the next-stage processing condition of the target process node, and updating the service state of the service data in the service process according to the next-stage process node.

9. A computer device, characterized in that it comprises a processor, a memory and a computer program stored in the memory and executable on the processor, which when executed by the processor implements the traffic processing method according to any of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a service processing method according to any one of claims 1 to 7.

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