package com.guwan.backend.xxljob.job;


import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.stats.CacheStats;
import com.guwan.backend.common.BusinessException;
import com.guwan.backend.constant.CacheConstants;
import com.xxl.job.core.handler.annotation.XxlJob;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.cache.CacheManager;
import org.springframework.cache.caffeine.CaffeineCacheManager;
import org.springframework.stereotype.Component;

import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.HashMap;
import java.util.Map;

@Slf4j
@Component
@RequiredArgsConstructor
public class SimpleXxlJob {


    private final CacheManager cacheManager;

    @XxlJob("demoGuwanJobHandler")
    public void demoGuwanJobHandler() {

        SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");



        System.out.println("执行定时任务,执行时间:"+sdf.format(new Date()));

        for (String cache : CacheConstants.CACHE_LIST) {
            Map<String, Object> stats = getStats(cache);
            for (Map.Entry<String, Object> entry : stats.entrySet()) {
                System.out.println("Key: " + entry.getKey() + ", Value: " + entry.getValue());
            }
            log.info("缓存使用情况{}",stats);
        }
    }


    public Map<String, Object> getStats(String cacheName) {
        CaffeineCacheManager caffeineCacheManager = (CaffeineCacheManager) cacheManager;
        Cache<Object, Object> nativeCache = null;
        try {
            nativeCache = (Cache<Object, Object>)
                    caffeineCacheManager.getCache(cacheName).getNativeCache();
        } catch (Exception e) {
            // throw new RuntimeException(e);
            throw new BusinessException("没有此本地缓存");
        }

        CacheStats stats = nativeCache.stats();
        Map<String, Object> result = new HashMap<>();
        result.put("hitCount 命中次数(成功从缓存中获取数据的次数)", stats.hitCount());
        result.put("missCount 未命中次数(缓存中没有找到数据的次数)", stats.missCount());
        result.put("loadCount 加载次数(需要从数据源重新加载数据的次数)", stats.loadCount());
        result.put("evictionCount 驱逐次数(由于空间限制而被清除的缓存项数量)", stats.evictionCount());
        result.put("hitRate 命中率", String.format("%.2f%%", stats.hitRate() * 100));

        return result;
    }

}