package com.zy.asrs.importexcle;
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import com.alibaba.excel.context.AnalysisContext;
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import com.alibaba.excel.event.AnalysisEventListener;
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import com.alibaba.fastjson.JSON;
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import com.core.common.Cools;
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import com.core.common.SnowflakeIdWorker;
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import com.zy.asrs.entity.OrderDetl;
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import com.zy.asrs.service.ReviewDetlService;
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import com.zy.asrs.service.ReviewService;
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import lombok.SneakyThrows;
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import lombok.extern.slf4j.Slf4j;
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import java.util.*;
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/**
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* @author pang.jiabao
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* @description 导入订单监听器
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* @createDate 2024/9/2 9:56
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*/
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@Slf4j
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public class ImportReviewListener extends AnalysisEventListener<ImportReviewDto> {
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/**
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* 每隔1000条存储数据库，实际使用中可以3000条，然后清理list ，方便内存回收
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*/
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private static final int BATCH_COUNT = 400;
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private int count = 0;
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private String orderNo;
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private long orderId;
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private long docTypeId;
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List<ImportReviewDto> list = new ArrayList<>();
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/**
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* 假设这个是一个DAO，当然有业务逻辑这个也可以是一个service。当然如果不用存储这个对象没用。
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*/
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private ReviewService reviewService;
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private ReviewDetlService reviewDetlService;
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private final SnowflakeIdWorker snowflakeIdWorker;
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private final Long userId;
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/**
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* 如果使用了spring,请使用这个构造方法。每次创建Listener的时候需要把spring管理的类传进来
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*/
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public ImportReviewListener(SnowflakeIdWorker snowflakeIdWorker, Long userId) {
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this.snowflakeIdWorker = snowflakeIdWorker;
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this.userId = userId;
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}
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private Set<String> uniquePackNos = new HashSet<>(); // 用于去重包装组号
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@SneakyThrows
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@Override
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public void invoke(ImportReviewDto data, AnalysisContext context) {
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log.info("解析到第 {} 条数据:{}", ++count, JSON.toJSONString(data));
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// 获取包装组号（column1）
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String packNo = data.getColumn1();
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if (Cools.isEmpty(packNo)) {
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log.warn("包装组号为空，跳过该行！");
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return;
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}
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// 如果已经处理过该包装组号，则跳过
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if (uniquePackNos.contains(packNo)) {
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log.info("重复的包装组号：{}，跳过", packNo);
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return;
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}
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// 首次出现，记录并处理
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uniquePackNos.add(packNo);
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list.add(data);
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if (context.getCurrentRowNum() == 3) {
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return;
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}
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if (list.size() >= BATCH_COUNT) {
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saveData();
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list.clear();
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}
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}
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/**
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* 所有数据解析完成了 都会来调用
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*/
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@Override
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public void doAfterAllAnalysed(AnalysisContext context) {
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// 这里也要保存数据，确保最后遗留的数据也存储到数据库
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if (list.size() > 0) {
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saveData();
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}
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log.info("所有数据解析完成！");
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}
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private static final int MAX_BATCH_SIZE = 50; // 建议 100~200，根据字段数控制
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/**
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* 分批存储数据库，避免SQL Server参数上限（2100）错误
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*/
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private void saveData() {
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log.info("{}条数据，开始存储数据库！", list.size());
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log.info("单据号：{}，数据：{},", orderNo, JSON.toJSONString(list));
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List<OrderDetl> orderDetlList = new ArrayList<>();
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for (ImportReviewDto importOrderDto : list) {
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OrderDetl orderDetl = new OrderDetl();
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if (docTypeId == 24) {
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orderDetl.setSpecs(String.format("%07d", Integer.parseInt(importOrderDto.getColumn1()))); // 源库位
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if (importOrderDto.getColumn2() != null) {
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orderDetl.setModel(String.format("%07d", Integer.parseInt(importOrderDto.getColumn2()))); // 目标库位
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}
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if (importOrderDto.getColumn3() != null) {
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orderDetl.setBeBatch(Integer.parseInt(importOrderDto.getColumn3())); // 巷道
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}
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} else {
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orderDetl.setBrand(importOrderDto.getColumn1());
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orderDetl.setSupp(importOrderDto.getColumn3());
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orderDetl.setMemo(importOrderDto.getColumn4());
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}
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orderDetl.setBatch("");
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orderDetl.setOrderId(orderId);
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orderDetl.setOrderNo(orderNo);
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orderDetl.setCreateBy(9527L);
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orderDetl.setCreateTime(new Date());
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orderDetl.setUpdateBy(9527L);
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orderDetl.setUpdateTime(new Date());
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orderDetl.setStatus(1);
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orderDetl.setQty(0.0D);
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orderDetl.setAnfme(1.0);
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orderDetlList.add(orderDetl);
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}
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// ✅ 关键点：分批提交
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for (int i = 0; i < orderDetlList.size(); i += MAX_BATCH_SIZE) {
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int end = Math.min(i + MAX_BATCH_SIZE, orderDetlList.size());
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List<OrderDetl> batch = orderDetlList.subList(i, end);
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//reviewDetlService.batchDetls(batch);
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}
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log.info("存储数据库成功！");
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}
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/**
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* 解析出现错误会进入该方法 具体看源代码或文档
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*/
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@Override
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public void onException(Exception exception, AnalysisContext context) throws Exception {
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log.error("处理异常：" + exception.getMessage());
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throw exception;
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}
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}
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