hrm-attendance/test/LogAnalyzerService.java

import java.util.*;

public class LogAnalyzerService {

    // 方法：分析日志并回答查询
    public List<Integer> analyzeLogs(int[][] logData, int x, int[] queries) {
        // 用于记录每个服务器最后一次请求的时间
        Map<Integer, Integer> lastRequestTime = new HashMap<>();

        // 遍历日志数据，更新每个服务器的最后一次请求时间
        for (int[] logEntry : logData) {
            int serverId = logEntry[0];
            int time = logEntry[1];
            lastRequestTime.put(serverId, Math.max(lastRequestTime.getOrDefault(serverId, 0), time));
        }

        // 存储查询结果的列表
        List<Integer> results = new ArrayList<>();

        // 遍历每个查询
        for (int queryTime : queries) {
            int startTime = queryTime - x;
            int inactiveServersCount = 0;

            // 检查每个服务器在查询的时间区间内是否有请求
            for (int serverId = 1; serverId <= lastRequestTime.size(); serverId++) {
                if (!lastRequestTime.containsKey(serverId) || lastRequestTime.get(serverId) < startTime) {
                    // 服务器不存在或最后请求时间在查询区间之前，视为不活跃
                    inactiveServersCount++;
                }
            }

            // 将不活跃服务器的数量添加到结果列表中
            results.add(inactiveServersCount);
        }

        return results;
    }

    public static void main(String[] args) {
        // 示例日志数据
        int[][] logData = {
                {1, 1},
                {2, 3},
                {3, 5},
                {1, 6},
                {2, 8}
        };

        int x = 2; // 时间窗口
        int[] queries = {5, 7, 9}; // 查询时间点

        LogAnalyzerService service = new LogAnalyzerService();
        List<Integer> results = service.analyzeLogs(logData, x, queries);

        // 输出查询结果
        for (int i = 0; i < queries.length; i++) {
            System.out.println("For query at time " + queries[i] + ", number of inactive servers: " + results.get(i));
        }
    }
}