Design and Implementation of a Java Rule Engine with AND/OR Logic
This article presents a Java-based rule engine design that separates rule definitions, data transfer objects, and execution logic, demonstrating AND/OR composition, abstract rule templates, concrete implementations, and a fluent API for building and executing complex rule chains.
The article introduces a rule engine refactoring scenario where existing trial‑user application rules need to be extended, highlighting the need for short‑circuit evaluation and maintainable logic.
if (是否海外用户) {
return false;
}
if (刷单用户) {
return false;
}
if (未付费用户 && 不再服务时段) {
return false;
}
if (转介绍用户 || 付费用户 || 内推用户) {
return true;
}To address this, a rule executor is designed with a V1 version that separates rule abstraction, templates, and concrete implementations. The core abstractions include a RuleDto data class, a BaseRule interface, and an AbstractRule class that handles conversion and delegation.
// Business data
@Data
public class RuleDto {
private String address;
private int age;
}
// Rule abstraction
public interface BaseRule {
boolean execute(RuleDto dto);
}
// Rule template
public abstract class AbstractRule implements BaseRule {
protected <T> T convert(RuleDto dto) {
return (T) dto;
}
@Override
public boolean execute(RuleDto dto) {
return executeRule(convert(dto));
}
protected <T> boolean executeRule(T t) {
return true;
}
}
// Concrete rule – example 1
public class AddressRule extends AbstractRule {
@Override
public boolean execute(RuleDto dto) {
System.out.println("AddressRule invoke!");
if (dto.getAddress().startsWith(MATCH_ADDRESS_START)) {
return true;
}
return false;
}
}
// Concrete rule – example 2
public class NationalityRule extends AbstractRule {
@Override
protected <T> T convert(RuleDto dto) {
NationalityRuleDto nationalityRuleDto = new NationalityRuleDto();
if (dto.getAddress().startsWith(MATCH_ADDRESS_START)) {
nationalityRuleDto.setNationality(MATCH_NATIONALITY_START);
}
return (T) nationalityRuleDto;
}
@Override
protected <T> boolean executeRule(T t) {
System.out.println("NationalityRule invoke!");
NationalityRuleDto nationalityRuleDto = (NationalityRuleDto) t;
if (nationalityRuleDto.getNationality().startsWith(MATCH_NATIONALITY_START)) {
return true;
}
return false;
}
}
// Constants
public class RuleConstant {
public static final String MATCH_ADDRESS_START = "北京";
public static final String MATCH_NATIONALITY_START = "中国";
}The executor is built with a fluent API that stores rule lists under AND (synchronous) or OR (short‑circuit) keys and iterates through them during execution.
public class RuleService {
private Map<Integer, List<BaseRule>> hashMap = new HashMap<>();
private static final int AND = 1;
private static final int OR = 0;
public static RuleService create() {
return new RuleService();
}
public RuleService and(List<BaseRule> ruleList) {
hashMap.put(AND, ruleList);
return this;
}
public RuleService or(List<BaseRule> ruleList) {
hashMap.put(OR, ruleList);
return this;
}
public boolean execute(RuleDto dto) {
for (Map.Entry<Integer, List<BaseRule>> item : hashMap.entrySet()) {
List<BaseRule> ruleList = item.getValue();
switch (item.getKey()) {
case AND:
System.out.println("execute key = " + 1);
if (!and(dto, ruleList)) {
return false;
}
break;
case OR:
System.out.println("execute key = " + 0);
if (!or(dto, ruleList)) {
return false;
}
break;
default:
break;
}
}
return true;
}
private boolean and(RuleDto dto, List<BaseRule> ruleList) {
for (BaseRule rule : ruleList) {
boolean execute = rule.execute(dto);
if (!execute) {
return false;
}
}
return true;
}
private boolean or(RuleDto dto, List<BaseRule> ruleList) {
for (BaseRule rule : ruleList) {
boolean execute = rule.execute(dto);
if (execute) {
return true;
}
}
return false;
}
}A test class demonstrates how to instantiate concrete rules, create a RuleDto with sample data, and execute the composed rule chain using the fluent API.
public class RuleServiceTest {
@org.junit.Test
public void execute() {
// Define rules
AgeRule ageRule = new AgeRule();
NameRule nameRule = new NameRule();
NationalityRule nationalityRule = new NationalityRule();
AddressRule addressRule = new AddressRule();
SubjectRule subjectRule = new SubjectRule();
// Build DTO
RuleDto dto = new RuleDto();
dto.setAge(5);
dto.setName("张三");
dto.setAddress("北京");
dto.setSubject("数学");
// Execute with fluent builder
boolean ruleResult = RuleService
.create()
.and(Arrays.asList(nationalityRule, nameRule, addressRule))
.or(Arrays.asList(ageRule, subjectRule))
.execute(dto);
System.out.println("this student rule execute result :" + ruleResult);
}
}The conclusion lists the advantages of this approach—simplicity, modularity, and extensibility via the convert method—and its drawbacks, mainly the tight coupling to a shared DTO, suggesting that data should be prepared in advance for better decoupling.
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