用车计算
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.gitignore
vendored
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12
.gitignore
vendored
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@ -0,0 +1,12 @@
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## ide
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**/.idea
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*.iml
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rebel.xml
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## backend
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**/target
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**/logs
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*/logs
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## front
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**/*.lock
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@ -1,5 +1,5 @@
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server:
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port: 8080
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port: 9001
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tomcat:
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max-swallow-size: -1
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error:
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@ -110,7 +110,7 @@ spring:
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# 初始化大小,最小,最大
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initial-size: 5
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min-idle: 5
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maxActive: 1000
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maxActive: 20
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# 配置获取连接等待超时的时间
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maxWait: 60000
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# 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
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@ -130,10 +130,14 @@ spring:
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connectionProperties: druid.stat.mergeSql\=true;druid.stat.slowSqlMillis\=5000
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datasource:
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master:
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url: jdbc:mysql://127.0.0.1:3306/jeecg-boot?characterEncoding=UTF-8&useUnicode=true&useSSL=false&tinyInt1isBit=false&allowPublicKeyRetrieval=true&serverTimezone=Asia/Shanghai
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username: root
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password: root
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driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://114.215.188.164:3306/jeecg-boot?characterEncoding=UTF-8&useUnicode=true&useSSL=false&tinyInt1isBit=false&allowPublicKeyRetrieval=true&serverTimezone=Asia/Shanghai
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# username: root
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# password: 123456
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# driver-class-name: com.mysql.cj.jdbc.Driver
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url: jdbc:oracle:thin:@123.57.206.181:1521/ORCLPDB1
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username: SDKTMS
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password: SDKTMS
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driver-class-name: oracle.jdbc.OracleDriver
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# 多数据源配置
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#multi-datasource1:
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#url: jdbc:mysql://localhost:3306/jeecg-boot2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&zeroDateTimeBehavior=convertToNull&transformedBitIsBoolean=true&allowPublicKeyRetrieval=true&serverTimezone=Asia/Shanghai
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@ -143,7 +147,7 @@ spring:
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#redis 配置
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redis:
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database: 0
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host: 127.0.0.1
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host: 123.57.206.181
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port: 6379
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password: ''
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#mybatis plus 设置
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@ -172,33 +176,32 @@ jeecg:
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signatureSecret: dd05f1c54d63749eda95f9fa6d49v442a
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# 签名拦截接口
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signUrls: /sys/dict/getDictItems/*,/sys/dict/loadDict/*,/sys/dict/loadDictOrderByValue/*,/sys/dict/loadDictItem/*,/sys/dict/loadTreeData,/sys/api/queryTableDictItemsByCode,/sys/api/queryFilterTableDictInfo,/sys/api/queryTableDictByKeys,/sys/api/translateDictFromTable,/sys/api/translateDictFromTableByKeys
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#local\minio\alioss
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uploadType: alioss
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#local、minio、alioss
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uploadType: local
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# 前端访问地址
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domainUrl:
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pc: http://localhost:3100
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app: http://localhost:8051
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path:
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#文件上传根目录 设置
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upload: /opt/jeecg-boot/upload
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upload: /opt/upFiles
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#webapp文件路径
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webapp: /opt/jeecg-boot/webapp
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webapp: /opt/webapp
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shiro:
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excludeUrls: /test/jeecgDemo/demo3,/test/jeecgDemo/redisDemo/**,/category/**,/visual/**,/map/**,/jmreport/bigscreen2/**,/api/getUserInfo
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excludeUrls: /test/jeecgDemo/demo3,/test/jeecgDemo/redisDemo/**,/category/**,/visual/**,/map/**,/jmreport/bigscreen2/**
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#阿里云oss存储和大鱼短信秘钥配置
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oss:
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accessKey: ??
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secretKey: ??
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endpoint: oss-cn-beijing.aliyuncs.com
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bucketName: jeecgdev
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staticDomain: https://static.jeecg.com
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# ElasticSearch 设置
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# ElasticSearch 6设置
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elasticsearch:
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cluster-name: jeecg-ES
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cluster-nodes: 127.0.0.1:9200
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check-enabled: true
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check-enabled: false
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# 在线预览文件服务器地址配置
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file-view-domain: http://fileview.jeecg.com
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file-view-domain: 127.0.0.1:8012
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# minio文件上传
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minio:
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minio_url: http://minio.jeecg.com
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@ -207,7 +210,7 @@ jeecg:
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bucketName: otatest
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#大屏报表参数设置
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jmreport:
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mode: prod
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mode: dev
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#数据字典是否进行saas数据隔离,自己看自己的字典
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saas: false
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#是否需要校验token
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@ -245,7 +248,7 @@ knife4j:
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#开启生产环境屏蔽
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production: false
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basic:
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enable: true
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enable: false
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username: jeecg
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password: jeecg1314
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#第三方登录
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@ -295,4 +298,4 @@ third-app:
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client-id: ??
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# appSecret
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client-secret: ??
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agent-id: ??
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agent-id: ??
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@ -4,10 +4,8 @@ import java.io.Serializable;
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import java.io.UnsupportedEncodingException;
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import java.util.Date;
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import java.math.BigDecimal;
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import com.baomidou.mybatisplus.annotation.IdType;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableName;
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import com.baomidou.mybatisplus.annotation.TableLogic;
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import com.baomidou.mybatisplus.annotation.*;
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import lombok.Data;
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import com.fasterxml.jackson.annotation.JsonFormat;
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import org.springframework.format.annotation.DateTimeFormat;
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@ -125,4 +123,7 @@ public class TmsIogisticsPrice implements Serializable {
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@Excel(name = "时效", width = 15)
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@ApiModelProperty(value = "时效")
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private java.lang.String validity;
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/**托数*/
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@TableField(exist = false)
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private java.lang.Integer maxPallets;
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}
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@ -14,4 +14,12 @@ import com.baomidou.mybatisplus.core.mapper.BaseMapper;
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*/
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public interface TmsIogisticsPriceMapper extends BaseMapper<TmsIogisticsPrice> {
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/**
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* 查询物流价格信息
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* @param pickUpHub 起始城市
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* @param deliveryAddress 目标城市
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* @return
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*/
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List<TmsIogisticsPrice> getIogisticsPrice(@Param("pickUpHub") String pickUpHub,
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@Param("deliveryAddress") String deliveryAddress);
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}
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@ -2,4 +2,11 @@
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="org.jeecg.modules.tms.basicdata.iogisticsprice.mapper.TmsIogisticsPriceMapper">
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<select id="getIogisticsPrice" resultType="org.jeecg.modules.tms.basicdata.iogisticsprice.entity.TmsIogisticsPrice">
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select a.*, b.max_pallets from tms_iogistics_price a left join tms_vehicle_pallet b
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on a.car_type = b.car_type
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and a.car_long = b.car_long
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where a.start_city = #{pickUpHub}
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and a.target_city = #{deliveryAddress}
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</select>
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</mapper>
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@ -0,0 +1,19 @@
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package org.jeecg.modules.tms.outbound.vehicledemand.entity;
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import lombok.Data;
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import java.math.BigDecimal;
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import java.util.Map;
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/**
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* @Description
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* @Author admin
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* @Date 2025/4/23 9:12
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*/
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@Data
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public class Solution {
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/**方案*/
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Map<String, Integer> vehicleCounts;
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/**成本*/
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BigDecimal totalCost;
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}
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@ -3,9 +3,13 @@ package org.jeecg.modules.tms.outbound.vehicledemand.service.impl;
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import cn.hutool.core.bean.BeanUtil;
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import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.jeecg.common.api.vo.Result;
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import org.jeecg.modules.tms.basicdata.iogisticsprice.entity.TmsIogisticsPrice;
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import org.jeecg.modules.tms.basicdata.iogisticsprice.mapper.TmsIogisticsPriceMapper;
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import org.jeecg.modules.tms.basicdata.vehiclepallet.entity.VehiclePallet;
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import org.jeecg.modules.tms.basicdata.vehiclepallet.mapper.VehiclePalletMapper;
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import org.jeecg.modules.tms.outbound.vehicledemand.entity.Solution;
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import org.jeecg.modules.tms.outbound.vehicledemand.entity.VehicleDemand;
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import org.jeecg.modules.tms.outbound.vehicledemand.mapper.VehicleDemandMapper;
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import org.jeecg.modules.tms.outbound.vehicledemand.service.IVehicleDemandService;
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@ -15,8 +19,8 @@ import org.springframework.stereotype.Service;
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import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
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import java.util.ArrayList;
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import java.util.List;
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import java.math.BigDecimal;
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import java.util.*;
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/**
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* @Description: 用车需求
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@ -24,14 +28,149 @@ import java.util.List;
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* @Date: 2025-04-11
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* @Version: V1.0
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*/
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@Slf4j
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@Service
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@RequiredArgsConstructor
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public class VehicleDemandServiceImpl extends ServiceImpl<VehicleDemandMapper, VehicleDemand> implements IVehicleDemandService {
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private final VehiclePalletMapper vehiclePalletMapper;
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private final IVehicleDemandCountService vehicleDemandCountService;
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private final TmsIogisticsPriceMapper iogisticsPriceMapper;
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@Override
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public Result<?> carCount(VehicleDemand vehicleDemand) {
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// 1.判断是否进行过用车计算
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LambdaQueryWrapper<VehicleDemandCount> countLambdaQueryWrapper = new LambdaQueryWrapper<>();
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countLambdaQueryWrapper.eq(VehicleDemandCount::getVdNo, vehicleDemand.getVdNo());
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List<VehicleDemandCount> list = vehicleDemandCountService.list(countLambdaQueryWrapper);
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// 1.1.进行过
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if (list != null && list.size() > 0) {
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return Result.error("已经进行过用车计算了!");
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}
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// 2.查询物流价格信息(从起始城市到目标城市各种车型的价格)
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List<TmsIogisticsPrice> iogisticsPriceList = iogisticsPriceMapper.getIogisticsPrice(
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vehicleDemand.getPickUpHub(),
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vehicleDemand.getDeliveryAddress());
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if (iogisticsPriceList == null || iogisticsPriceList.size() <= 0) {
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return Result.error("没有符合的物流价格基础信息,请维护!");
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}
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// 3.查找费用最低的方案
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// Map<String, Integer> vehicleCounts;
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// String: 由车型与车长组成,以逗号分隔
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// Integer: 该种车型与车长选择的数量
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Solution solution = findCheapestSolution(iogisticsPriceList, vehicleDemand.getTotalPallets());
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// 打印,方便查看,开发时可以打开
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/*for (Map.Entry<String, Integer> entry : solution.getVehicleCounts().entrySet()) {
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System.out.println(entry.getKey() + " 车: " + entry.getValue() + " 辆");
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}*/
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// 4.转化集合
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List<VehicleDemandCount> vehicleDemandCounts = convertToVehicleDemandCountList(solution.getVehicleCounts(), vehicleDemand);
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// 5.新增
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vehicleDemandCountService.saveBatch(vehicleDemandCounts);
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log.info("用车需求计算,用车需求编号:{},方案:{},费用:{}",vehicleDemand.getVdNo(),
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solution.getVehicleCounts(),solution.getTotalCost());
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return Result.OK("用车计算成功!");
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}
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/**
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* 查找费用最低的方案
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*/
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private Solution findCheapestSolution(List<TmsIogisticsPrice> iogisticsPriceList, Integer totalPallets) {
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// dp[i] 表示运送 i 托盘时的最小成本
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BigDecimal[] dp = new BigDecimal[totalPallets + 1];
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Arrays.fill(dp, BigDecimal.valueOf(Integer.MAX_VALUE));
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dp[0] = BigDecimal.ZERO;
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// 记录每种状态下的车辆选择
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Map<Integer, Map<String, Integer>> choices = new HashMap<>();
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for (int i = 0; i <= totalPallets; i++) {
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choices.put(i, new HashMap<>());
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}
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// 动态规划填表
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for (int i = 0; i <= totalPallets; i++) {
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if (dp[i].compareTo(BigDecimal.valueOf(Integer.MAX_VALUE)) == 0) continue; // 如果当前状态不可达,跳过
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for (TmsIogisticsPrice iogisticsPrice : iogisticsPriceList) {
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int next = i + iogisticsPrice.getMaxPallets();
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if (next > totalPallets) next = totalPallets; // 不超过总托盘数
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BigDecimal newCost = dp[i].add(iogisticsPrice.getTandardPrice());
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if (newCost.compareTo(dp[next]) < 0 ) { // 如果新成本更低,则更新
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dp[next] = newCost;
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// 更新车辆选择
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Map<String, Integer> newChoices = new HashMap<>(choices.get(i));
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newChoices.put(iogisticsPrice.getCarType() + "," +iogisticsPrice.getCarLong(), newChoices.getOrDefault(iogisticsPrice.getCarType() + "," +iogisticsPrice.getCarLong(), 0) + 1);
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choices.put(next, newChoices);
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}
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}
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}
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// choices.get(totalPallets):选择的方案, dp[totalPallets]费用
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Solution solution = new Solution();
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solution.setVehicleCounts(choices.get(totalPallets));
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solution.setTotalCost(dp[totalPallets]);
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return solution;
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}
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/**
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* 转化集合
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* @param vehicleCounts
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* @return
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*/
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private List<VehicleDemandCount> convertToVehicleDemandCountList(Map<String, Integer> vehicleCounts,
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VehicleDemand vehicleDemand) {
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List<VehicleDemandCount> resultList = new ArrayList<>();
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// 遍历 solution.getVehicleCounts()
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for (Map.Entry<String, Integer> entry : vehicleCounts.entrySet()) {
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String key = entry.getKey(); // 键格式为 "车类型,车长度"
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int count = entry.getValue(); // 车辆数量
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// 解析车类型和车长度
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String[] parts = key.split(",");
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/*if (parts.length != 2) {
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throw new IllegalArgumentException("键格式错误: " + key);
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}*/
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String carType = parts[0]; // 车类型
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int carLong = Integer.parseInt(parts[1]); // 车长度
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// 根据车辆数量生成多条记录
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for (int i = 0; i < count; i++) {
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VehicleDemandCount vehicleDemandCount = new VehicleDemandCount();
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vehicleDemandCount.setCarType(carType)
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.setCarLong(carLong)
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.setVdNo(vehicleDemand.getVdNo())
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.setShipType(vehicleDemand.getShipType())
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.setDeliveryAddress(vehicleDemand.getDeliveryAddress())
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.setPickUpHub(vehicleDemand.getPickUpHub());
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resultList.add(vehicleDemandCount);
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}
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}
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return resultList;
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}
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/**
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* 拼凑一个用车需求计算的集合
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* @param vehicleDemand
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* @param vehiclePallet
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* @param vehicleDemandCounts
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*/
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/*private void insertVehicleDemandCount(VehicleDemand vehicleDemand, VehiclePallet vehiclePallet, List<VehicleDemandCount> vehicleDemandCounts) {
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VehicleDemandCount vehicleDemandCount = new VehicleDemandCount();
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vehicleDemandCount.setVdNo(vehicleDemand.getVdNo())
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.setShipType(vehicleDemand.getShipType())
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.setDeliveryArea(vehicleDemand.getDeliveryArea())
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.setDeliveryAddress(vehicleDemand.getDeliveryAddress())
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.setPickUpHub(vehicleDemand.getPickUpHub())
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.setCarType(vehiclePallet.getCarType())
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.setCarLong(vehiclePallet.getCarLong());
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vehicleDemandCounts.add(vehicleDemandCount);
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}*/
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/* 原来的用车计算方法
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public Result<?> carCount(VehicleDemand vehicleDemand) {
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// 1.判断是否进行过用车计算
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LambdaQueryWrapper<VehicleDemandCount> countLambdaQueryWrapper = new LambdaQueryWrapper<>();
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@ -70,23 +209,5 @@ public class VehicleDemandServiceImpl extends ServiceImpl<VehicleDemandMapper, V
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vehicleDemandCountService.saveBatch(vehicleDemandCounts);
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System.out.println(ids);
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return Result.OK("用车计算成功!");
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}
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/**
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* 拼凑一个用车需求计算的集合
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* @param vehicleDemand
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* @param vehiclePallet
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* @param vehicleDemandCounts
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*/
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private void insertVehicleDemandCount(VehicleDemand vehicleDemand, VehiclePallet vehiclePallet, List<VehicleDemandCount> vehicleDemandCounts) {
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VehicleDemandCount vehicleDemandCount = new VehicleDemandCount();
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vehicleDemandCount.setVdNo(vehicleDemand.getVdNo())
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.setShipType(vehicleDemand.getShipType())
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.setDeliveryArea(vehicleDemand.getDeliveryArea())
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.setDeliveryAddress(vehicleDemand.getDeliveryAddress())
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.setPickUpHub(vehicleDemand.getPickUpHub())
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.setCarType(vehiclePallet.getCarType())
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.setCarLong(vehiclePallet.getCarLong());
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||||
vehicleDemandCounts.add(vehicleDemandCount);
|
||||
}
|
||||
}*/
|
||||
}
|
||||
|
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Reference in New Issue
Block a user