How much do you know about the rules engine? From concept to scenario application

In a rapidly changing business environment, companies need to respond quickly to market changes and adjust business strategies, while ensuring that decisions are correct and efficient. As a powerful automation tool, the rules engine is increasingly favored by enterprises. The JVS rule engine focuses on the visualization of the order of rule execution and process management. Based on the process of rule definition + business judgment index interface processing of flow chart, users can intuitively describe the relationship between each link in the business process and the rules through the JVS rule engine.

1. Definition of the rule engine

A rules engine is a software component used to manage and enforce business rules. It decouples the business logic from the application and defines and stores it in the form of rules. When a business logic needs to be executed, the rule engine will match and reason based on the input data and predefined rules to generate corresponding operation instructions or decision results. In short, a rules engine can read, parse, and execute preset business rules to automate business processes.

Second, the importance of the rules engine

1. Increased efficiency: The rules engine can quickly and accurately execute a large number of complex business rules, and by automating repetitive tasks, it can improve productivity and reduce manual intervention and errors.
2. Flexibility: The rules engine allows businesses to quickly adapt business rules as needed without having to modify and redeploy the entire system, allowing them to respond quickly to market changes.
3. Cost reduction: Because the business logic is separated from the application code, when the business rules change, the enterprise only needs to modify the rules in the rule base without modifying or recompiling the application code, helping to reduce operational costs while improving the accuracy and consistency of decision-making.

3. JVS rule engine technology stack

It adopts JVS (spring cloud's fast application scaffolding) architecture, and the front-end VUE+ElementUI. jvs-rules is a native application built on the JVS rapid development platform, and the overall architecture is as follows.

Fourth, the core functions of the JVS rule engine

1. Visual decision orchestration, which is an organizational process used to integrate business rules, policies, basic variables, and derived variables. Logically and coherently put together to form a set of programs that accurately reflect business goals and are repeatable and executable.

The interface-based drag-and-drop configuration can more clearly express the judgment logic and separate the business rules from the technical implementation.

2. Permission setting, each decision-making arrangement can be set with different operation permissions, and different operation permissions can be flexibly set for different members (roles, departments, groups).

3. Variable management, support compound variables, basic variables, SQL variables, and can also be extended

• Variables are the basis for rule judgment and execution, and can be used to store and pass data;
• Variables can help define the conditions and operations of rules, so that rules can be flexibly judged according to different data values.
• Variables enable rules to handle complex business scenarios and realize the processing and analysis of diverse data.
• Through the change and update of variables, it can dynamically affect the execution results of rules, so as to adapt to the dynamic needs of the business.

4. Data source, MySQL, MongoDB, Db2, Renren Jincang, Excel, API, low-code, etc. are now supported in the rule engine, which can be extended.

• Data storage: stores all kinds of data required by the rule engine, including rule configuration, business data, intermediate results, etc.
• Data retrieval: Quickly find and obtain the data required for rule execution, improving the efficiency of rule processing.
• Data consistency maintenance: Ensure the integrity and consistency of data and ensure the accuracy of rule execution.
• Historical data recording: Stores historical information about rule execution for subsequent auditing, analysis, and optimization.
• Support complex data relationships: Process data with complex associations and hierarchies to meet the diverse needs of rules.

5. Log and monitoring, mainly record the detailed information in the process of rule execution, and provide real-time monitoring and troubleshooting functions.

• Troubleshooting: Record problems and errors in the running of the rule engine to facilitate rapid location and resolution of faults.
• Performance evaluation: monitor the performance indicators of rule execution to provide a basis for optimization.
• Audit trail: Maintain detailed records of rule processing to meet compliance and audit requirements;
• Insight into running status: Understand the real-time running status of the rule engine and detect anomalies in a timely manner.
• Optimization basis: Based on data analysis, find bottlenecks and improvement points in rule execution;

6. The import and export of rules is usually used to share, backup or migrate configuration data between different environments, and can be transferred in multiple environments.

5. Scenarios for using the rule engine

1. Financial risk control: In the financial field, the rule engine can be used to implement complex risk control logic, such as credit approval and anti-fraud detection, to ensure the safety of funds.
2. E-commerce marketing: E-commerce platforms can use the rules engine to achieve personalized recommendations and marketing activities to improve user experience and conversion rates.
3. Smart manufacturing: In the manufacturing industry, the rules engine can support the automated control of the production process and improve production efficiency and product quality.

在线demo：http://rules.bctools.cn

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