package com.zy.asrs.importexcle;

import com.alibaba.excel.context.AnalysisContext;
import com.alibaba.excel.event.AnalysisEventListener;
import com.alibaba.excel.exception.ExcelAnalysisException;
import com.alibaba.fastjson.JSON;
import com.core.common.DateUtils;
import com.core.common.SnowflakeIdWorker;
import com.zy.asrs.entity.DocType;
import com.zy.asrs.entity.Order;
import com.zy.asrs.entity.OrderDetl;
import com.zy.asrs.mapper.OrderDetlMapper;
import com.zy.asrs.service.DocTypeService;
import com.zy.asrs.service.OrderService;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

/**
 * @author pang.jiabao
 * @description 导入订单监听器
 * @createDate 2024/9/2 9:56
 */
@Slf4j
public class ImportOrderListener extends AnalysisEventListener<ImportOrderDto> {
    /**
     * 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 = 400;

    private int count = 0;

    private String orderNo;

    private long orderId;

    private long docTypeId;

    List<ImportOrderDto> 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 OrderService orderService;
    private final OrderDetlMapper orderDetlMapper;
    private final DocTypeService docTypeService;
    private final SnowflakeIdWorker snowflakeIdWorker;
    private final Long userId;

    /**
     * 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 ImportOrderListener(OrderService orderService, OrderDetlMapper orderDetlMapper,DocTypeService docTypeService, SnowflakeIdWorker snowflakeIdWorker, Long userId) {
        this.orderService = orderService;
        this.orderDetlMapper = orderDetlMapper;
        this.docTypeService = docTypeService;
        this.snowflakeIdWorker = snowflakeIdWorker;
        this.userId = userId;
    }

    /**
     * 这个每一条数据解析都会来调用
     */
    @SneakyThrows
    @Override
    public void invoke(ImportOrderDto data, AnalysisContext context) {
        log.info("解析到第 {} 条数据:{}", ++count, JSON.toJSONString(data));
        list.add(data);
        if (context.getCurrentRowNum() == 3) {
            String time = DateUtils.convert(new Date(),DateUtils.yyyyMMddHHmmss_F);
            Order order2 = orderService.selectByNo(list.get(0).getColumn2());
            if(order2 != null) {
                throw new ExcelAnalysisException("单据已存在！");
            }
            DocType docType = docTypeService.selectOrAdd(list.get(1).getColumn2(), Boolean.FALSE);
            if (docType == null) {
                throw new ExcelAnalysisException("单据类型错误：" + list.get(1).getColumn2());
            }
            orderNo = list.get(0).getColumn2();
            docTypeId = docType.getDocId();
            Order order = new Order();
            order.setUuid(String.valueOf(snowflakeIdWorker.nextId()));
            order.setOrderNo(orderNo);
            order.setOrderTime(time);
            order.setDocType(docType.getDocId());
            order.setSettle(1L);
            order.setStatus(1);
            order.setCreateBy(userId);
            order.setCreateTime(new Date());
            orderService.insert(order);
            Order order1 = orderService.selectByNo(orderNo);
            orderId = order1.getId();
            list.clear();
            return;
        }

        // 达到BATCH_COUNT了，需要去存储一次数据库，防止数据几万条数据在内存，容易OOM
        if (list.size() >= BATCH_COUNT) {
            saveData();
            // 存储完成清理 list
            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！");
    }

    /**
     * 加上存储数据库
     */
    private void saveData() {
        log.info("{}条数据，开始存储数据库！", list.size());
        log.info("单据号：{}，数据：{},",orderNo, JSON.toJSONString(list));
        List<OrderDetl> orderDetlList = new ArrayList<>();
        list.forEach(importOrderDto -> {
            OrderDetl orderDetl = new OrderDetl();
            if (docTypeId == 24) {
                orderDetl.setSpecs(String.format("%07d",Integer.parseInt(importOrderDto.getColumn1()))); // 源库位
                if (importOrderDto.getColumn2() != null) {
                    orderDetl.setModel(String.format("%07d",Integer.parseInt(importOrderDto.getColumn2()))); // 目标库位
                }
                if (importOrderDto.getColumn3() != null) {
                    orderDetl.setBeBatch(Integer.parseInt(importOrderDto.getColumn3())); //巷道
                }
            } else {
                orderDetl.setBrand(importOrderDto.getColumn1());
            }
            orderDetl.setBatch("");
            orderDetl.setOrderId(orderId);
            orderDetl.setOrderNo(orderNo);
            orderDetl.setCreateBy(9527L);
            orderDetl.setCreateTime(new Date());
            orderDetl.setUpdateBy(9527L);
            orderDetl.setUpdateTime(new Date());
            orderDetl.setStatus(1);
            orderDetl.setQty(0.0D);
            orderDetl.setAnfme(1.0);
            orderDetlList.add(orderDetl);
        });
        orderDetlMapper.batchDetls(orderDetlList);

        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;
    }
}