~admin/ERP_override.git

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