package cn.iocoder.yudao.module.mes.framework.qrexport;
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import jakarta.annotation.Resource;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
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import java.util.concurrent.ThreadPoolExecutor;
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/**
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* 二维码后台导出线程池
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* <p>
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* 单独建池而不是复用公共异步池：二维码生成是长时间、CPU 密集的任务，混进公共池会把其他异步业务一起堵住。
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* 池大小取并发闸门配置，队列留少量冗余以吸收「校验通过但线程尚未就绪」的瞬时窗口；真正超出的提交
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* 由 {@link MesProQrExportTaskRegistry} 的并发许可拦在更前面，不会堆到这里。
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*/
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@Configuration(proxyBeanMethods = false)
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public class MesProQrExportExecutorConfig {
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/**
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* 线程名，便于线上定位导出线程
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*/
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private static final String THREAD_NAME_PREFIX = "mes-qr-export-";
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@Resource
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private MesProQrExportProperties properties;
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@Bean(name = "mesQrExportExecutor")
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public ThreadPoolTaskExecutor mesQrExportExecutor() {
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int concurrency = Math.max(1, properties.getMaxConcurrentTasks());
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ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
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executor.setCorePoolSize(concurrency);
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executor.setMaxPoolSize(concurrency);
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executor.setQueueCapacity(concurrency);
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executor.setThreadNamePrefix(THREAD_NAME_PREFIX);
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// 队列满即拒绝，由调用方把任务置为失败，避免任务无声地堆在队列里
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executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());
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executor.initialize();
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return executor;
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}
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}
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