package com.weiease.app.service.luckydraw;
import lombok.Data;
import lombok.experimental.Accessors;
import java.util.*;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Collectors;
/**
* @author huhuszl
* @version 1.0
* @date 2023/9/27 11:16
* @description 概率抽奖工具类
*/
public class ProbabilityDrawUtils {
@Data
@Accessors(chain = true)
public static class ProbabilityEntity<T> {
private T entity; // 实体
private Integer id; // id 区别实体的id,每个实体保证唯一
private Double ProbabilityValue; // 概率值
}
/**
* 概率性抽奖
*
* @param probabilityEntityList 概率配置列表
* @param defaultValue 不符条件返回的默认结果
* @param <T> 抽奖的实体
* @return 返回中奖实体
*/
public static <T> ProbabilityEntity<T> probabilityLottery(List<ProbabilityEntity<T>> probabilityEntityList, ProbabilityEntity<T> defaultValue) {
// 公平性检测
double sum = probabilityEntityList.stream().mapToDouble(ProbabilityEntity::getProbabilityValue).summaryStatistics().getSum();
if (sum != 1.00) {
probabilityEntityList.forEach(r -> {
r.setProbabilityValue(r.getProbabilityValue() / sum);
});
}
Double minRate = probabilityEntityList.get(0).getProbabilityValue();
// 找到最小值,保证可中
for (ProbabilityEntity<T> item : probabilityEntityList) {
if (minRate > item.getProbabilityValue()) {
minRate = item.getProbabilityValue();
}
}
// 找到区间最大值
Integer speed = 1;
while (!((minRate * speed) > 1)) {
speed = speed * 10;
}
Map<Integer, List<Integer>> map = new HashMap<>();
int startIndex = 1;
for (ProbabilityEntity<T> item : probabilityEntityList) {
List<Integer> data = new ArrayList<>();
data.add(startIndex);
int endIndex = startIndex + (int) (speed * item.getProbabilityValue());
data.add(endIndex);
map.put(item.getId(), data);
startIndex = endIndex + 1;
}
// 判断值在那个区间
Random random = new Random();
int r = random.nextInt(speed);
for (Map.Entry<Integer, List<Integer>> entry : map.entrySet()) {
if (entry.getValue().get(0) <= r && r <= entry.getValue().get(1)) {
List<ProbabilityEntity<T>> entities = probabilityEntityList.stream().filter(e -> e.getId().equals(entry.getKey())).collect(Collectors.toList());
if (entities.size() > 0) {
return entities.get(0);
}
}
}
return defaultValue;
}
public static void main(String[] args) {
List<ProbabilityEntity<String>> probabilityEntities = new ArrayList<>();
probabilityEntities.add(new ProbabilityEntity<String>().setProbabilityValue(0.00001).setId(1).setEntity("电脑"));
probabilityEntities.add(new ProbabilityEntity<String>().setProbabilityValue(0.001).setId(2).setEntity("手机"));
probabilityEntities.add(new ProbabilityEntity<String>().setProbabilityValue(0.02).setId(3).setEntity("ipad"));
probabilityEntities.add(new ProbabilityEntity<String>().setProbabilityValue(0.1).setId(4).setEntity("谢谢惠顾"));
probabilityEntities.add(new ProbabilityEntity<String>().setProbabilityValue(0.1).setId(5).setEntity("1元优惠券"));
ProbabilityEntity<String> defaultThanks = new ProbabilityEntity<String>().setEntity("谢谢惠顾")
.setId(4).setProbabilityValue(0.0);
Map<String, Integer> prizeMap = new HashMap<>();
for (int i = 0; i < 1000000; i++) {
ProbabilityEntity<String> entity = probabilityLottery(probabilityEntities, defaultThanks);
AtomicInteger atomicI;
if (prizeMap.get(entity.getEntity()) == null) {
atomicI = new AtomicInteger(0);
} else {
atomicI = new AtomicInteger(prizeMap.get(entity.getEntity()));
}
if (entity.getId() == 1) {
System.out.println(i);
}
prizeMap.put(entity.getEntity(), atomicI.incrementAndGet());
}
System.out.println(prizeMap);
}
}
实现概率抽奖
于 2023-09-27 16:44:36 首次发布