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package cn.fyupeng.factory;

import com.google.common.util.concurrent.ThreadFactoryBuilder;
import lombok.extern.slf4j.Slf4j;

import java.util.Map;
import java.util.concurrent.*;

/**
 * @Auther: fyp
 * @Date: 2022/3/26
 * @Description:
 * @Package: cn.fyupeng.factory
 * @Version: 1.0
 */
@Slf4j
public class ThreadPoolFactory {
    /**
     * CORE_POOL_SIZE : 线程池 CPU 核数
     * MAXIMUM_POOL_SIZE ： 最大 的 线程数
     * BLOCKING_QUEUE_CAPACITY ： 阻塞 队列 容量
     * KEEP_ALIVE_TIMEOUT ： 心跳（单位：每分钟）
     */
    private static final int CORE_POOL_SIZE = 10;
    private static final int MAXIMUM_POOL_SIZE = 100;
    private static final int BLOCKING_QUEUE_CAPACITY = 100;
    private static final int KEEP_ALIVE_TIMEOUT = 1;

    private static Map threadPoolsMap = new ConcurrentHashMap<>();

    public static void main(String[] args) {
        ExecutorService test = createDefaultThreadPool("test", null);
        System.out.println(test);
    }

    public static ExecutorService createDefaultThreadPool(String threadNamePrefix) {
        return createDefaultThreadPool(threadNamePrefix, false);
    }

    public static ExecutorService createDefaultThreadPool(String threadNamePrefix, Boolean daemon) {
        /**
         * 第一次有效，下次 返回 首次值, 参数 2 支持 函数编程
         * @FunctionalInterface
         * public interface Function {
         *  R apply(T t);
         *  k 代表 apply(T t) 中的 参数 t
         *  createThreadPool(threadNamePrefix, daemon) 代表 R 类型的返回值 即 Map 的 V
         *  因为 Function K 对应了 T , V 对应了 R
         *  而 public interface Map {
         */
        ExecutorService pool = threadPoolsMap.computeIfAbsent(threadNamePrefix, k -> createThreadPool(threadNamePrefix, daemon));
        if (pool.isShutdown() || pool.isTerminated()) {
            threadPoolsMap.remove(threadNamePrefix);
            pool = createThreadPool(threadNamePrefix, daemon);
            threadPoolsMap.put(threadNamePrefix, pool);
        }
        return pool;
    }

    public static void shutdownAll() {
        log.info("close all ThreadPool...");
        threadPoolsMap.entrySet().parallelStream().forEach(entry -> {
            ExecutorService executorService = entry.getValue();
            // 不接受 新任务，等待 现有 任务 执行完毕 后 关闭
            executorService.shutdown();
            log.info("close threadPool [{}] [{}]", entry.getKey(), executorService.isTerminated());
            try {
                // 所以 这里 要阻塞 等待 任务 执行完
                executorService.awaitTermination(10, TimeUnit.SECONDS);
            } catch (InterruptedException e) {
                log.error("Failed to close thread pool: ",e);
                // 使用 中断 操作 去尝试 关闭所有 正在执行的 任务
                executorService.shutdownNow();
            }
        });
        log.info("threadPool closed successfully");
    }

    /**
     * 创建 线程池，线程名前缀为 null 时 创建 默认线程工厂,daemon 为 null 时 不设置 守护线程 属性
     * @param threadNamePrefix 线程名 前缀
     * @param daemon 指定 是否为 守护 线程
     * @return ExecutorService
     */
    private static ExecutorService createThreadPool(String threadNamePrefix, Boolean daemon) {
        BlockingQueue workQueue = new ArrayBlockingQueue<>(BLOCKING_QUEUE_CAPACITY);
        ThreadFactory threadFactory = createThreadFactory(threadNamePrefix, daemon);
        return new ThreadPoolExecutor(CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE_TIMEOUT, TimeUnit.MINUTES, workQueue, threadFactory);

    }

    /**
     * 创建 ThreadFactory, 如果 threadNamePrefix 不为空则 使用 ThreadFactory, 否则 默认 创建 defaultThreadFactory
     * @param threadNamePrefix 线程名 前缀
     * @param daemon 指定 是否 为 守护线程
     * @return ThreadFactory
     */
    private static ThreadFactory createThreadFactory(String threadNamePrefix, Boolean daemon) {
        if (threadNamePrefix != null) {
            if (daemon != null) {
                return new ThreadFactoryBuilder().setNameFormat(threadNamePrefix + "-%d").setDaemon(daemon).build();
            } else {
                return new ThreadFactoryBuilder().setNameFormat(threadNamePrefix + "-%d").build();
            }
        }
        return Executors.defaultThreadFactory();
    }

}