refactor(cache): 缓存操作接口化，支持 Redis/Caffeine 双实现切换

将系统所有缓存操作从 `RedisUtil` 迁移至 `CacheOperations` 接口，
通过 `gym.cache.type` 配置选择 Redis 或 Caffeine 实现。

变更内容：
- 新增 CacheOperations 接口，定义 get/set/delete/hasKey/expire/deleteByPattern 等标准方法
- 新增 RedisCacheOperations 实现（基于 ReactiveRedisTemplate，默认实现）
- 新增 CaffeineCacheOperations 实现（基于 Caffeine 本地缓存）
- 新增 CacheProperties 配置类，支持 Caffeine 容量/过期等参数配置
- 新增 CacheAutoConfiguration 自动装配，通过 AutoConfiguration.imports 注册
- 全系统 17 个业务服务 + 18 个测试文件从 RedisUtil 迁移至 CacheOperations
- manage-gateway 配置 caffeine 实现（无需 Redis），manage-app 配置 redis 实现
- 分布式锁等 Redis 独有特性保持直接使用 ReactiveRedisTemplate

测试：202 通过，0 失败，0 错误

gym-manage-api/gym-dataCount/src/main/java/cn/novalon/gym/manage/datacount/scheduler/DataStatisticsScheduler.java

@@ -1,5 +1,6 @@
 package cn.novalon.gym.manage.datacount.scheduler;
 
+import cn.novalon.gym.manage.common.cache.CacheOperations;
 import cn.novalon.gym.manage.datacount.domain.DataStatistics;
 import cn.novalon.gym.manage.datacount.service.IDataStatisticsService;
 import org.slf4j.Logger;
@@ -98,7 +99,7 @@ public class DataStatisticsScheduler {
 
         // 清理Redis中的旧统计数据
         String pattern = "datacount:statistics:*:" + cutoffDate.toString();
-        cn.novalon.gym.manage.common.util.RedisUtil redisUtil = null;
+        CacheOperations cacheOperations = null;
         try {
             // 这里可以通过注入的service来清理，但当前实现使用Redis缓存30天自动过期
             log.info("Old statistics cleanup completed, cutoff date: {}", cutoffDate);

gym-manage-api/gym-dataCount/src/main/java/cn/novalon/gym/manage/datacount/service/impl/DataStatisticsServiceImpl.java

@@ -1,7 +1,7 @@
 package cn.novalon.gym.manage.datacount.service.impl;
 
 import cn.novalon.gym.manage.checkIn.entity.SignInRecord;
-import cn.novalon.gym.manage.common.util.RedisUtil;
+import cn.novalon.gym.manage.common.cache.CacheOperations;
 import cn.novalon.gym.manage.datacount.dao.DataStatisticsDao;
 import cn.novalon.gym.manage.datacount.domain.*;
 import cn.novalon.gym.manage.datacount.service.IDataStatisticsService;
@@ -46,7 +46,7 @@ public class DataStatisticsServiceImpl implements IDataStatisticsService {
     private DataStatisticsDao dataStatisticsDao;
 
     @Autowired
-    private RedisUtil redisUtil;
+    private CacheOperations cacheOperations;
 
     @Autowired
     private ObjectMapper objectMapper;
@@ -223,7 +223,7 @@ public class DataStatisticsServiceImpl implements IDataStatisticsService {
     public reactor.core.publisher.Flux<DataStatistics> queryHistoricalStatistics(StatisticsQuery query) {
         // 历史统计数据查询（从Redis缓存中获取）
         String cacheKey = buildCacheKey(query);
-        return redisUtil.get(cacheKey, String.class)
+        return cacheOperations.get(cacheKey, String.class)
                 .flatMapMany(json -> {
                     try {
                         java.util.List<DataStatistics> stats = objectMapper.readValue(json,
@@ -270,9 +270,9 @@ public class DataStatisticsServiceImpl implements IDataStatisticsService {
                         String signInJson = objectMapper.writeValueAsString(signInStats);
 
                         return reactor.core.publisher.Flux.merge(
-                                redisUtil.setWithExpire(memberKey, memberJson, Duration.ofDays(30).getSeconds()),
-                                redisUtil.setWithExpire(bookingKey, bookingJson, Duration.ofDays(30).getSeconds()),
-                                redisUtil.setWithExpire(signInKey, signInJson, Duration.ofDays(30).getSeconds())
+                                cacheOperations.setWithExpire(memberKey, memberJson, Duration.ofDays(30).getSeconds()),
+                                cacheOperations.setWithExpire(bookingKey, bookingJson, Duration.ofDays(30).getSeconds()),
+                                cacheOperations.setWithExpire(signInKey, signInJson, Duration.ofDays(30).getSeconds())
                         ).then();
                     } catch (Exception e) {
                         log.error("Failed to serialize statistics data", e);
@@ -445,13 +445,13 @@ public class DataStatisticsServiceImpl implements IDataStatisticsService {
     public Mono<StatisticsSummary> getStatisticsSummaryWithCache(StatisticsQuery query) {
         String cacheKey = buildCacheKey(query);
 
-        return redisUtil.get(cacheKey, StatisticsSummary.class)
+        return cacheOperations.get(cacheKey, StatisticsSummary.class)
                 .switchIfEmpty(
                         getStatisticsSummary(query)
                                 .flatMap(summary -> {
                                     try {
                                         String json = objectMapper.writeValueAsString(summary);
-                                        return redisUtil.setWithExpire(cacheKey, json, cacheExpireSeconds)
+                                        return cacheOperations.setWithExpire(cacheKey, json, cacheExpireSeconds)
                                                 .thenReturn(summary);
                                     } catch (Exception e) {
                                         log.error("Failed to serialize statistics summary", e);