package com.zy.asrs.importexcle;

import com.alibaba.excel.context.AnalysisContext;
import com.alibaba.excel.event.AnalysisEventListener;
import com.alibaba.fastjson.JSON;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.core.common.Cools;
import com.core.common.DateUtils;
import com.core.common.SnowflakeIdWorker;
import com.core.exception.CoolException;
import com.zy.asrs.entity.Review;
import com.zy.asrs.entity.ReviewDetl;
import com.zy.asrs.service.ReviewDetlService;
import com.zy.asrs.service.ReviewService;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.TransactionStatus;

import java.util.*;

/**
 * @author pang.jiabao
 * @description 导入订单监听器
 * @createDate 2024/9/2 9:56
 */
@Slf4j
public class ImportReviewListener extends AnalysisEventListener<ImportReviewDto> {
    /**
     * 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
     */
    private static final int BATCH_COUNT = 2000;

    private int count = 0;


    private long orderId;


    List<ImportReviewDto> list = new ArrayList<>();
    /**
     * 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。
     */
    private final PlatformTransactionManager transactionManager;
    private ReviewService reviewService;
    private ReviewDetlService reviewDetlService;
    private final SnowflakeIdWorker snowflakeIdWorker;
    private final Long userId;
    private TransactionStatus transactionStatus;

    /**
     * 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
     */
    public ImportReviewListener(PlatformTransactionManager transactionManager, ReviewService reviewService, ReviewDetlService reviewDetlService, SnowflakeIdWorker snowflakeIdWorker, Long userId) {
        this.transactionManager = transactionManager;
        this.reviewService = reviewService;
        this.reviewDetlService = reviewDetlService;
        this.snowflakeIdWorker = snowflakeIdWorker;
        this.userId = userId;
    }

    private Set<String> uniquePackNos = new HashSet<>(); // 用于去重包装组号

    @SneakyThrows
    @Override
    public void invoke(ImportReviewDto data, AnalysisContext context) {
        log.info("解析到第 {} 条数据:{}", ++count, JSON.toJSONString(data));

        if (Cools.isEmpty(data.getColumn1())) {
            log.warn("规格型号，跳过该行！");
            return;
        }

        if (Cools.isEmpty(data.getColumn2())) {
            log.info("重复的包装组号：{}，跳过", data.getColumn5());
            return;
        }
        if (Cools.isEmpty(data.getColumn3())) {
            log.info("重复的包装组号：{}，跳过", data.getColumn7());
            return;
        }
        // 首次出现，记录并处理
        uniquePackNos.add(data.getColumn1());

        String time = DateUtils.convert(new Date(), DateUtils.yyyyMMddHHmmss_F);
        Review review = reviewService.selectOne(new EntityWrapper<Review>().eq("order_no", data.getColumn1()));
        if (review == null) {
            review = new Review();
            review.setUuid(String.valueOf(snowflakeIdWorker.nextId()));
            review.setOrderNo(data.getColumn1());
            review.setOrderTime(time);
            review.setSettle(1L);
            review.setStatus(1);
            review.setCreateBy(userId);
            review.setCreateTime(new Date());

            reviewService.insert(review);
            review = reviewService.selectOne(new EntityWrapper<Review>().eq("order_no", data.getColumn1()));
        }
        data.setOrderId(review.getId());
        list.add(data);
        if (list.size() >= BATCH_COUNT) {
            saveData();
            list.clear();
        }
    }


    /**
     * 所有数据解析完成了 都会来调用
     */
    @Override
    public void doAfterAllAnalysed(AnalysisContext context) {
        // 这里也要保存数据，确保最后遗留的数据也存储到数据库
        if (list.size() > 0) {
            saveData();
        }
        log.info("所有数据解析完成！");
    }


    private static final int MAX_BATCH_SIZE = 50; // 建议 100~200，根据字段数控制

    /**
     * 分批存储数据库，避免SQL Server参数上限（2100）错误
     */
    private void saveData() {
        log.info("{}条数据，开始存储数据库！", list.size());
        log.info("数据：{},", JSON.toJSONString(list));

        List<ReviewDetl> orderDetlList = new ArrayList<>();
        for (ImportReviewDto importOrderDto : list) {
            List<ReviewDetl> reviewDetls = reviewDetlService.selectList(new EntityWrapper<ReviewDetl>().eq("order_no", importOrderDto.getColumn1()).eq("specs", importOrderDto.getColumn2()).eq("anfme", importOrderDto.getColumn4()).eq("batch", importOrderDto.getColumn3()));
            if (reviewDetls != null && reviewDetls.size() > 0) {
                throw new CoolException(importOrderDto.getColumn1() + "=批次：" + importOrderDto.getColumn7() + "规格：" + importOrderDto.getColumn4() + "该明细已存在！");
            }
            ReviewDetl orderDetl = new ReviewDetl();
            orderDetl.setOrderNo(importOrderDto.getColumn1());
            orderDetl.setSpecs(importOrderDto.getColumn2());
            orderDetl.setBatch(importOrderDto.getColumn3());
            orderDetl.setAnfme(importOrderDto.getColumn4());

            orderDetl.setMatnr(importOrderDto.getColumn5());
            orderDetl.setMaktx(importOrderDto.getColumn6());
            orderDetl.setUnit(importOrderDto.getColumn7());
            //orderDetl.set(importOrderDto.getColumn6());
            orderDetl.setModel(importOrderDto.getColumn9());
            orderDetl.setDeadTime(importOrderDto.getColumn10());

            orderDetl.setOrderId(importOrderDto.getOrderId());
            orderDetl.setCreateBy(9527L);
            orderDetl.setCreateTime(new Date());
            orderDetl.setUpdateBy(9527L);
            orderDetl.setUpdateTime(new Date());
            orderDetl.setStatus(1);

            orderDetlList.add(orderDetl);
        }

        // ✅ 关键点：分批提交
        for (ReviewDetl d : orderDetlList) {
            reviewDetlService.insert(d);
        }
        log.info("存储数据库成功！");
    }


    /**
     * 解析出现错误会进入该方法 具体看源代码或文档
     */
    @Override
    public void onException(Exception exception, AnalysisContext context) throws Exception {
        log.error("处理异常：" + exception.getMessage());
        throw exception;
    }
}