package com.guwan.backend.config;

import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.stats.CacheStats;
import lombok.extern.slf4j.Slf4j;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.HashMap;
import java.util.Map;

@Slf4j
@RestController
@RequestMapping("/api/cache")
public class CacheMonitor {

    private final Cache<String, Object> userCache;
    private final Cache<String, Object> productCache;

    public CacheMonitor(Cache<String, Object> userCache, 
                       Cache<String, Object> productCache) {
        this.userCache = userCache;
        this.productCache = productCache;
    }

    @GetMapping("/stats")
    public Map<String, Object> getStats() {
        Map<String, Object> stats = new HashMap<>();

        // 用户缓存统计
        Map<String, Object> userStats = new HashMap<>();
        userStats.put("stats", userCache.stats());
        userStats.put("estimatedSize", userCache.estimatedSize());
        userStats.put("asMap", userCache.asMap());
        stats.put("userCache", userStats);

        // 产品缓存统计
        Map<String, Object> productStats = new HashMap<>();
        productStats.put("stats", productCache.stats());
        productStats.put("estimatedSize", productCache.estimatedSize());
        productStats.put("asMap", productCache.asMap());
        stats.put("productCache", productStats);

        return stats;
    }



    @GetMapping("/details")
    public String getDetails() {
        StringBuilder details = new StringBuilder();
        details.append("=== Cache Details ===\n");

        // 用户缓存详情
        CacheStats userStats = userCache.stats();
        details.append("User Cache:\n");
        details.append("  Hit count: ").append(userStats.hitCount()).append("\n");
        details.append("  Miss count: ").append(userStats.missCount()).append("\n");
        details.append("  Load success count: ").append(userStats.loadSuccessCount()).append("\n");
        details.append("  Load failure count: ").append(userStats.loadFailureCount()).append("\n");
        details.append("  Total load time: ").append(userStats.totalLoadTime()).append("\n");
        details.append("  Eviction count: ").append(userStats.evictionCount()).append("\n");
        details.append("  Estimated size: ").append(userCache.estimatedSize()).append("\n");

        // 产品缓存详情
        CacheStats productStats = productCache.stats();
        details.append("\nProduct Cache:\n");
        details.append("  Hit count: ").append(productStats.hitCount()).append("\n");
        details.append("  Miss count: ").append(productStats.missCount()).append("\n");
        details.append("  Load success count: ").append(productStats.loadSuccessCount()).append("\n");
        details.append("  Load failure count: ").append(productStats.loadFailureCount()).append("\n");
        details.append("  Total load time: ").append(productStats.totalLoadTime()).append("\n");
        details.append("  Eviction count: ").append(productStats.evictionCount()).append("\n");
        details.append("  Estimated size: ").append(productCache.estimatedSize()).append("\n");

        return details.toString();
    }


    // 每5分钟打印一次缓存统计信息
    @Scheduled(fixedRate = 300000)
    public void logCacheStats() {
        log.info("=== Cache Stats ===");
        log.info("User Cache: {}", userCache.stats());
        log.info("Product Cache: {}", productCache.stats());
    }
}