KPI入库分析、出库分析、巷道均匀分析、货位分析
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猫猫guowen
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package com.ruoyi.kpi.service.impl;
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import java.util.List;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import com.ruoyi.kpi.mapper.BasCargoSpaceMapper;
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import com.ruoyi.kpi.domain.BasCargoSpace;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.Map;
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import java.util.Set;
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import com.ruoyi.kpi.mapper.MydoJobFinishMapper;
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import com.ruoyi.kpi.domain.MydoJobFinish;
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import com.ruoyi.kpi.service.KpiService;
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/**
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* KPI 统计分析 服务实现类
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*
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* @author gw
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* @date 2025-05-21
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*/
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@Service
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public class KpiServiceImpl implements KpiService
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{
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@Autowired
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private MydoJobFinishMapper mydoJobFinishMapper;
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@Autowired
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private BasCargoSpaceMapper basCargoSpaceMapper;
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/**
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* 获取入库均匀分析数据
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*
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* @param warehouseId 仓库ID
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* @param yearMonth 年月（格式：yyyy-MM）
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* @return 入库均匀分析数据
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*/
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@Override
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public Map<String, Object> getInAnalysis(String warehouseId, String yearMonth)
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{
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MydoJobFinish mydoJobFinish = new MydoJobFinish();
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List<MydoJobFinish> list = mydoJobFinishMapper.selectMydoJobFinishList(mydoJobFinish);
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Map<String, Integer> roadwayCount = new HashMap<>();
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for (MydoJobFinish job : list) {
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// 检查入库作业标识是否小于10
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if (job.getInOrOut() == null || Integer.parseInt(job.getInOrOut()) >= 10) {
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continue;
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}
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// 按仓库ID筛选
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if (!warehouseId.equals(job.getWarehouseId())) {
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continue;
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}
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// 如果指定了年月，则按年月筛选
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if (yearMonth != null && !yearMonth.isEmpty()) {
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if (job.getStartTime() == null || !job.getStartTime().startsWith(yearMonth)) {
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continue;
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}
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}
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String roadwayId = job.getRoadwayId();
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if (roadwayId != null) {
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roadwayCount.put(roadwayId, roadwayCount.getOrDefault(roadwayId, 0) + 1);
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}
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}
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// 将结果转换为指定格式
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List<String> tunnels = new ArrayList<>();
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List<Integer> counts = new ArrayList<>();
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for (Map.Entry<String, Integer> entry : roadwayCount.entrySet()) {
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tunnels.add(entry.getKey() + "巷道");
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counts.add(entry.getValue());
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}
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Map<String, Object> result = new HashMap<>();
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result.put("tunnels", tunnels);
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result.put("counts", counts);
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return result;
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}
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/**
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* 获取入库均匀分析数据
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*
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* @param warehouseId 仓库ID
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* @param yearMonth 年月（格式：yyyy-MM）
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* @return 入库均匀分析数据
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*/
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@Override
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public Map<String, Object> getOutAnalysis(String warehouseId, String yearMonth)
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{
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MydoJobFinish mydoJobFinish = new MydoJobFinish();
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List<MydoJobFinish> list = mydoJobFinishMapper.selectMydoJobFinishList(mydoJobFinish);
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Map<String, Integer> roadwayCount = new HashMap<>();
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for (MydoJobFinish job : list) {
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// 检查出入库作业标识是否大于10
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if (job.getInOrOut() == null || Integer.parseInt(job.getInOrOut()) < 10) {
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continue;
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}
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// 按仓库ID筛选
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if (!warehouseId.equals(job.getWarehouseId())) {
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continue;
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}
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// 如果指定了年月，则按年月筛选
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if (yearMonth != null && !yearMonth.isEmpty()) {
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if (job.getStartTime() == null || !job.getStartTime().startsWith(yearMonth)) {
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continue;
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}
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}
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String roadwayId = job.getRoadwayId();
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if (roadwayId != null) {
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roadwayCount.put(roadwayId, roadwayCount.getOrDefault(roadwayId, 0) + 1);
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}
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}
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// 将结果转换为指定格式
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List<String> tunnels = new ArrayList<>();
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List<Integer> counts = new ArrayList<>();
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for (Map.Entry<String, Integer> entry : roadwayCount.entrySet()) {
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tunnels.add(entry.getKey() + "巷道");
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counts.add(entry.getValue());
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}
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Map<String, Object> result = new HashMap<>();
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result.put("tunnels", tunnels);
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result.put("counts", counts);
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return result;
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}
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/**
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* 获取巷道均匀分析数据
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*
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* @param warehouseId 仓库ID
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* @param startTime 开始时间，格式：yyyy-MM-dd HH:mm:ss
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* @param endTime 结束时间，格式：yyyy-MM-dd HH:mm:ss
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* @return 巷道分析数据
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*/
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@Override
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public Map<String, Object> getRoadwayAnalysis(String warehouseId, String startTime, String endTime)
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{
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MydoJobFinish mydoJobFinish = new MydoJobFinish();
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List<MydoJobFinish> list = mydoJobFinishMapper.selectMydoJobFinishList(mydoJobFinish);
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// 用于存储每个巷道的入库和出库数量
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Map<String, Integer> inCounts = new HashMap<>();
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Map<String, Integer> outCounts = new HashMap<>();
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for (MydoJobFinish job : list) {
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// 按仓库ID筛选
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if (!warehouseId.equals(job.getWarehouseId())) {
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continue;
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}
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// 按时间范围筛选
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if (startTime != null && !startTime.isEmpty()) {
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if (job.getStartTime() == null || job.getStartTime().compareTo(startTime) < 0) {
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continue;
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}
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}
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if (endTime != null && !endTime.isEmpty()) {
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if (job.getStartTime() == null || job.getStartTime().compareTo(endTime) > 0) {
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continue;
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}
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}
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String roadwayId = job.getRoadwayId();
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if (roadwayId != null) {
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// 区分入库和出库作业
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if (job.getInOrOut() != null) {
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int inOrOut = Integer.parseInt(job.getInOrOut());
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if (inOrOut < 10) {
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// 入库作业
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inCounts.put(roadwayId, inCounts.getOrDefault(roadwayId, 0) + 1);
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} else {
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// 出库作业
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outCounts.put(roadwayId, outCounts.getOrDefault(roadwayId, 0) + 1);
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}
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}
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}
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}
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// 合并所有巷道ID
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Set<String> allRoadways = new HashSet<>();
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allRoadways.addAll(inCounts.keySet());
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allRoadways.addAll(outCounts.keySet());
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// 将结果转换为指定格式
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List<String> tunnels = new ArrayList<>();
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List<Integer> inCountsList = new ArrayList<>();
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List<Integer> outCountsList = new ArrayList<>();
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for (String roadwayId : allRoadways) {
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tunnels.add(roadwayId + "巷道");
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inCountsList.add(inCounts.getOrDefault(roadwayId, 0));
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outCountsList.add(outCounts.getOrDefault(roadwayId, 0));
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}
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Map<String, Object> result = new HashMap<>();
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result.put("tunnels", tunnels);
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result.put("inCounts", inCountsList);
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result.put("outCounts", outCountsList);
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return result;
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}
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/**
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* 获取巷道均匀分析数据
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*
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* @param warehouseId 仓库ID
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* @return 货位分析
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*/
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@Override
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public Map<String, Object> getSpaceAnalysis(String warehouseId)
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{
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BasCargoSpace basCargoSpace = new BasCargoSpace();
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basCargoSpace.setWarehouseId(warehouseId);
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List<BasCargoSpace> list = basCargoSpaceMapper.selectBasCargoSpaceList(basCargoSpace);
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// 按巷道和状态分类统计
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Map<String, Map<String, Integer>> roadwayStats = new HashMap<>();
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Set<String> roadwayIds = new HashSet<>();
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for (BasCargoSpace space : list) {
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String roadwayId = space.getRoadwayId();
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String status = space.getStatus();
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if (roadwayId != null && status != null) {
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roadwayIds.add(roadwayId);
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String statusName;
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switch (Integer.parseInt(status)) {
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case 1: statusName = "空货位"; break;
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case 2: statusName = "满货位"; break;
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case 3: statusName = "入库分配"; break;
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case 4: statusName = "出库分配"; break;
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case 5: statusName = "入库需盘点"; break;
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case 6: statusName = "出库需盘点"; break;
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default: continue;
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}
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roadwayStats.computeIfAbsent(statusName, k -> new HashMap<>());
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Map<String, Integer> statusMap = roadwayStats.get(statusName);
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statusMap.merge(roadwayId, 1, Integer::sum);
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}
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}
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// 构建前端所需的数据格式
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List<Map<String, Object>> result = new ArrayList<>();
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for (Map.Entry<String, Map<String, Integer>> entry : roadwayStats.entrySet()) {
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Map<String, Object> statusData = new HashMap<>();
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statusData.put("status", entry.getKey());
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// 为每个巷道添加数量，如果没有数据则为0
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for (String roadwayId : roadwayIds) {
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statusData.put("巷道" + roadwayId, entry.getValue().getOrDefault(roadwayId, 0));
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}
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result.add(statusData);
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}
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Map<String, Object> response = new HashMap<>();
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response.put("data", result);
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return response;
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}
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}
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