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package com.example.erp.service.pp;
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import com.baomidou.dynamic.datasource.annotation.DS;
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import com.example.erp.entity.pp.DamageDetails;
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import com.example.erp.entity.pp.Report;
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import com.example.erp.mapper.pp.ProductionSchedulingMapper;
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import com.example.erp.mapper.pp.ReportMapper;
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import com.example.erp.mapper.sd.OrderProcessDetailMapper;
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import org.springframework.stereotype.Service;
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import java.sql.Date;
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import java.time.LocalDate;
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import java.util.*;
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@Service
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@DS("pp")
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public class ReportService {
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private final ReportMapper reportMapper;
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private final OrderProcessDetailMapper orderProcessDetailMapper;
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private final ProductionSchedulingMapper productionSchedulingMapper;
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public ReportService(ReportMapper reportMapper, OrderProcessDetailMapper orderProcessDetailMapper,ProductionSchedulingMapper productionSchedulingMapper) {
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this.reportMapper = reportMapper;
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this.orderProcessDetailMapper = orderProcessDetailMapper;
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this.productionSchedulingMapper = productionSchedulingMapper;
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}
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//流程卡进度方法
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public Map<String, Object> processCardProgressSv(String orderId, List<Integer> columns) {
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Map<String, Object> map = new HashMap<>();
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//获取表格内容数据
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map.put("data", reportMapper.processCardProgressMp(orderId));
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//获取表头工序筛选数据
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List<Map<String,String>> processFilterList = orderProcessDetailMapper.filterOrderProcess(orderId);
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List<Map<String,String>> processList = processFilterList;
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List<String> filterList = new ArrayList<>();
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//循环遍历数组，判断此序号当前的工序
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for (int i = 1; i < processFilterList.size(); i++) {
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filterList.add(processFilterList.get(i).get("process"));
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List<Map<String,String>> lastProcessList =
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orderProcessDetailMapper.filterLastProcess(
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orderId,
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String.valueOf(processFilterList.get(i).get("order_number")),
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String.valueOf(processFilterList.get(i).get("technology_number")),
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String.valueOf(processFilterList.get(i).get("id"))
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);
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if(!lastProcessList.isEmpty()){
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int finalI = i;
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lastProcessList.forEach(lastProcess -> {
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if(filterList.contains(lastProcess.get("process"))){
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processList.add(lastProcess);
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}
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});
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}
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}
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// 使用HashSet来记录已经遇到的value值
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Set<String> seenValues = new HashSet<>();
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// 创建一个新的List来存储结果
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List<Map<String, String>> uniqueList = new ArrayList<>();
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// 反向遍历原始List
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for (int i = processList.size() - 1; i >= 0; i--) {
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Map<String, String> maps = processList.get(i);
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String value = maps.values().iterator().next(); // 假设每个Map只有一个value
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// 如果value还没有被看到过，就添加到结果List和HashSet中
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if (!seenValues.contains(value)) {
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uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
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seenValues.add(value);
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}
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}
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map.put("title", uniqueList );
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List<Map<String,Integer>> getRowCount = orderProcessDetailMapper.getGlassLRow(orderId);
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List<Map<String,Integer>> rowCount = new ArrayList<>();
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columns.forEach(col ->{
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getRowCount.forEach(row ->{
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Map<String,Integer> getRow = new HashMap<>();
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// { row: 0, col: 1, rowspan: 3, colspan: 0},
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getRow.put("row",row.get("RowNum"));
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getRow.put("col",col);
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getRow.put("rowspan",row.get("rowCount"));
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getRow.put("colspan",0);
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rowCount.add(getRow);
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});
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});
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map.put("mergeCells",rowCount);
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return map;
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}
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public Map<String,Object> crossProcessBreakingSv(Integer pageNum, Integer pageSize, List<String> selectDate, DamageDetails damageDetails) {
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Integer offset = (pageNum-1)*pageSize;
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String endDate = LocalDate.now().toString();
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String startDate = LocalDate.now().minusDays(15).toString();
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if(selectDate !=null && selectDate.size()==2){
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if(!selectDate.get(0).isEmpty()){
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startDate = selectDate.get(0);
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}
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if(!selectDate.get(1).isEmpty()){
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endDate = selectDate.get(1);
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}
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}
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.getProcessBreaking(offset, pageSize, startDate, endDate, damageDetails));
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map.put("total",reportMapper.getProcessBreakingTotal(offset, pageSize, startDate, endDate, damageDetails));
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List<String> list = new ArrayList<>();
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list.add(startDate);
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list.add(endDate);
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map.put("selectDate",list);
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// map.put("total",orderMapper.getPageTotal(offset, pageSize, startDate, endDate, orderDetail));
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return map;
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}
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public Map<String,Object> workInProgressSv(Date selectTime1, Date selectTime2, String orderId, String inputProject, String selectProcesses, Report report) {
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if ("null".equals(orderId)) {
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orderId = "";
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}
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if ("null".equals(inputProject)) {
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inputProject = "";
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}
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.workInProgressMp( selectTime1, selectTime2,orderId,inputProject,selectProcesses,report));
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map.put("process", productionSchedulingMapper.selectProcess());
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return map;
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}
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public Map<String,Object> selectProcessToBeCompletedSv(Date selectTime1, Date selectTime2, String orderId, String inputProject, String selectProcesses, Report report) {
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if ("null".equals(orderId)) {
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orderId = "";
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}
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if ("null".equals(inputProject)) {
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inputProject = "";
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}
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.processToBeCompletedMp( selectTime1, selectTime2,orderId,inputProject,selectProcesses,report));
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map.put("process", productionSchedulingMapper.selectProcess());
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return map;
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}
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public Map<String,Object> selectDamageReportSv(Date selectTime1, Date selectTime2, Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.selectDamageReportMp( selectTime1, selectTime2,report));
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return map;
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}
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public Map<String,Object> splittingDetailsOutsideSv(String orderId, Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.splittingDetailsOutsideMp( orderId,report));
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return map;
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}
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public Map<String,Object> qualityReportSv(Date selectTime1, Date selectTime2, Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.qualityReportMp( selectTime1,selectTime2,report));
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return map;
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}
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public Map<String,Object> yieldSv(Date selectTime1, Date selectTime2, String selectProcesses, Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.yieldMp( selectTime1,selectTime2,selectProcesses,report));
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map.put("process", productionSchedulingMapper.selectProcess());
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return map;
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}
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public Map<String, Object> productionScheduleSv(String orderId, List<Integer> columns) {
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Map<String, Object> map = new HashMap<>();
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//获取表格内容数据
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map.put("data", reportMapper.productionScheduleMp(orderId));
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//获取表头工序筛选数据
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List<Map<String,String>> processFilterList = orderProcessDetailMapper.filterOrderProcess(orderId);
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List<Map<String,String>> processList = processFilterList;
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List<String> filterList = new ArrayList<>();
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//循环遍历数组，判断此序号当前的工序
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for (int i = 1; i < processFilterList.size(); i++) {
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filterList.add(processFilterList.get(i).get("process"));
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List<Map<String,String>> lastProcessList =
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orderProcessDetailMapper.filterLastProcess(
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orderId,
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String.valueOf(processFilterList.get(i).get("order_number")),
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String.valueOf(processFilterList.get(i).get("technology_number")),
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String.valueOf(processFilterList.get(i).get("id"))
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);
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if(!lastProcessList.isEmpty()){
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int finalI = i;
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lastProcessList.forEach(lastProcess -> {
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if(filterList.contains(lastProcess.get("process"))){
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processList.add(lastProcess);
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}
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});
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}
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}
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// 使用HashSet来记录已经遇到的value值
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Set<String> seenValues = new HashSet<>();
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// 创建一个新的List来存储结果
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List<Map<String, String>> uniqueList = new ArrayList<>();
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// 反向遍历原始List
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for (int i = processList.size() - 1; i >= 0; i--) {
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Map<String, String> maps = processList.get(i);
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String value = maps.values().iterator().next(); // 假设每个Map只有一个value
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// 如果value还没有被看到过，就添加到结果List和HashSet中
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if (!seenValues.contains(value)) {
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uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
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seenValues.add(value);
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}
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}
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map.put("title", uniqueList );
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List<Map<String,Integer>> getRowCount = orderProcessDetailMapper.getGlassLRow(orderId);
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List<Map<String,Integer>> rowCount = new ArrayList<>();
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columns.forEach(col ->{
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getRowCount.forEach(row ->{
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Map<String,Integer> getRow = new HashMap<>();
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// { row: 0, col: 1, rowspan: 3, colspan: 0},
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getRow.put("row",row.get("RowNum"));
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getRow.put("col",col);
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getRow.put("rowspan",row.get("rowCount"));
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getRow.put("colspan",0);
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rowCount.add(getRow);
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});
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});
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map.put("mergeCells",rowCount);
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return map;
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}
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public Map<String, Object> taskCompletionStatusSv(Date selectTime1, Date selectTime2, List<Integer> columns) {
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Map<String, Object> map = new HashMap<>();
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//获取表格内容数据
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map.put("data", reportMapper.taskCompletionStatusMp(selectTime1,selectTime2));
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//获取表头工序筛选数据
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List<Map<String,String>> processFilterList = orderProcessDetailMapper.filterOrderProcessCollect(selectTime1,selectTime2);
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List<Map<String,String>> processList = processFilterList;
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List<String> filterList = new ArrayList<>();
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//循环遍历数组，判断此序号当前的工序
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for (int i = 1; i < processFilterList.size(); i++) {
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filterList.add(processFilterList.get(i).get("process"));
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List<Map<String,String>> lastProcessList =
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orderProcessDetailMapper.filterLastProcess(
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String.valueOf(processFilterList.get(i).get("order_id")),
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String.valueOf(processFilterList.get(i).get("order_number")),
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String.valueOf(processFilterList.get(i).get("technology_number")),
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String.valueOf(processFilterList.get(i).get("id"))
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);
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if(!lastProcessList.isEmpty()){
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int finalI = i;
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lastProcessList.forEach(lastProcess -> {
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if(filterList.contains(lastProcess.get("process"))){
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processList.add(lastProcess);
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}
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});
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}
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}
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// 使用HashSet来记录已经遇到的value值
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Set<String> seenValues = new HashSet<>();
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// 创建一个新的List来存储结果
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List<Map<String, String>> uniqueList = new ArrayList<>();
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// 反向遍历原始List
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for (int i = processList.size() - 1; i >= 0; i--) {
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Map<String, String> maps = processList.get(i);
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String value = maps.values().iterator().next(); // 假设每个Map只有一个value
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// 如果value还没有被看到过，就添加到结果List和HashSet中
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if (!seenValues.contains(value)) {
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uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
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seenValues.add(value);
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}
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}
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map.put("title", uniqueList );
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List<Map<String,Integer>> getRowCount = orderProcessDetailMapper.getGlassLRowCollect(selectTime1,selectTime2);
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List<Map<String,Integer>> rowCount = new ArrayList<>();
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columns.forEach(col ->{
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getRowCount.forEach(row ->{
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Map<String,Integer> getRow = new HashMap<>();
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// { row: 0, col: 1, rowspan: 3, colspan: 0},
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getRow.put("row",row.get("RowNum"));
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getRow.put("col",col);
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getRow.put("rowspan",row.get("rowCount"));
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getRow.put("colspan",0);
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rowCount.add(getRow);
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});
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});
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map.put("mergeCells",rowCount);
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return map;
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}
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public Map<String,Object> orderPlanDecompositionSv(Date selectTime1, Date selectTime2,Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.orderPlanDecompositionMp( selectTime1,selectTime2,report));
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return map;
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}
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public Map<String,Object> rawMaterialRequisitionSv(Date selectTime1, Date selectTime2, Report report) {
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Map<String,Object> map = new HashMap<>();
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map.put("data",reportMapper.rawMaterialRequisitionMp( selectTime1,selectTime2,report));
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return map;
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}
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}
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