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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.dto.pp.*;
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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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Object rowNumObj = row.get("RowNum");
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if (rowNumObj instanceof Double) {
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getRow.put("row", ((Double) rowNumObj).intValue());
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} else if (rowNumObj instanceof Integer) {
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getRow.put("row", (Integer) rowNumObj);
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}
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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, CrossProcessBreakingDTO crossProcessBreakingDTO) {
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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, crossProcessBreakingDTO));
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map.put("total", reportMapper.getProcessBreakingTotal(offset, pageSize, startDate, endDate, crossProcessBreakingDTO));
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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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return map;
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}
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public Map<String, Object> workInProgressSv(Integer pageNum, Integer pageSize, String orderId, String inputProject, String selectProcesses, String optionVal, WorkInProgressDTO workInProgressDTO) {
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Integer offset = (pageNum - 1) * pageSize;
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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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if ("null".equals(optionVal)) {
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optionVal = ("");
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}
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Map<String, Object> map = new HashMap<>();
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if (optionVal.equals("1")){
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/* 根据销售单号汇总*/
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map.put("data", reportMapper.workInProgressOrderMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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// map.put("total", reportMapper.workInProgressOrderTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));
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}else if(optionVal.equals("2")){
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/* 根流程卡号汇总*/
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map.put("data", reportMapper.workInProgressProcessMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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// map.put("total", reportMapper.workInProgressProcessTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));
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} else if (optionVal.equals("3")) {
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} else {
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//没有选择分组
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map.put("data", reportMapper.workInProgressMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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//map.put("total", reportMapper.workInProgressTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
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map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));
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}
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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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map.put("footSum" ,reportMapper.processToBeCompletedFootSum(selectTime1, selectTime2, orderId, inputProject, selectProcesses, report));
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return map;
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}
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public Map<String, Object> selectDamageReportSv(Integer pageNum, Integer pageSize, Date selectTime1, Date selectTime2, DamageReportDTO damageReportDTO) {
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Integer offset = (pageNum - 1) * pageSize;
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Map<String, Object> map = new HashMap<>();
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map.put("data", reportMapper.selectDamageReportMp(offset, pageSize, selectTime1, selectTime2, damageReportDTO));
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map.put("total", reportMapper.getDamageReportPageTotal(offset, pageSize, selectTime1, selectTime2, damageReportDTO));
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map.put("footSum" ,reportMapper.damageReportFootSum(selectTime1, selectTime2, damageReportDTO));
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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> orderReportingWorks(Date selectTime1, Date selectTime2, Report report) {
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Map<String, Object> map = new HashMap<>();
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map.put("data", reportMapper.orderReportingWorks(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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public List exportCrossProcessBreakingSv(List<LocalDate> dates) {
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return reportMapper.exportCrossProcessBreakingMp(dates);
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}
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public List exportDamageReportSv(List<LocalDate> dates) {
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if (dates != null && dates.size() > 1) {
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dates.set(1, dates.get(1).plusDays(1)); // 将第二个日期加一天
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}
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System.out.println(dates);
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return reportMapper.exportDamageReportMp(dates);
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}
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public List exportOrderPlanDecompositionSv(List<LocalDate> dates) {
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return reportMapper.exportOrderPlanDecompositionMp(dates);
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}
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public List exportProcessToBeCompletedSv(Map<String, Object> dates) {
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List<LocalDate> date= (List<LocalDate>) dates.get("date");
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String process= (String) dates.get("processes");
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String inputVal= (String) dates.get("inputVal");
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String project= (String) dates.get("project");
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if ("null".equals(inputVal)) {
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inputVal = "";
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}
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if ("null".equals(project)) {
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project = "";
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}
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return reportMapper.exportProcessToBeCompletedMp(date,process,inputVal,project);
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}
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public List exportWorkInProgressSv(Map<String, Object> dates) {
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String process= (String) dates.get("processes");
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String inputVal= (String) dates.get("inputVal");
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String project= (String) dates.get("project");
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if ("null".equals(inputVal)) {
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inputVal = "";
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}
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if ("null".equals(project)) {
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project = "";
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}
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return reportMapper.exportWorkInProgressMp(process,inputVal,project);
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}
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public List exportTaskCompletionStatusSv(Map<String, Object> dates) {
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return reportMapper.exportTaskCompletionStatusMp(dates);
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}
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public List exportRawMaterialRequisitionSv(List<LocalDate> dates) {
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return reportMapper.exportRawMaterialRequisitionMp(dates);
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}
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public List exportQualityReportSv(List<LocalDate> dates) {
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return reportMapper.exportQualityReportSv(dates);
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}
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public List exportYieldSv(Map<String, Object> dates) {
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List<LocalDate> date= (List<LocalDate>) dates.get("date");
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String process= (String) dates.get("processes");
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return reportMapper.exportYieldMp(date,process);
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}
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public Map<String, Object> teamOutputSv(Integer pageNum, Integer pageSize, Date selectTime1, Date selectTime2, String selectProcesses, TeamOutputDTO teamOutputDTO) {
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if (selectProcesses.equals("全部")){
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selectProcesses="";
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}
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Integer offset = (pageNum - 1) * pageSize;
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Map<String, Object> map = new HashMap<>();
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String laminating = reportMapper.getLaminating(selectProcesses);
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map.put("data", reportMapper.teamOutputMp(offset, pageSize, selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
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map.put("process", productionSchedulingMapper.selectProcess());
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map.put("total", reportMapper.teamOutputPageTotal(offset, pageSize, selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
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map.put("footSum" ,reportMapper.teamOutputFootSum(selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
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return map;
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}
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public Map<String, Object> scheduleProductionScheduleSv(Integer pageNum, Integer pageSize, Date selectTime1, Date selectTime2, String processes, ScheduleProductionScheduleDTO scheduleProductionScheduleDTO) {
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Integer offset = (pageNum - 1) * pageSize;
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Map<String, Object> map = new HashMap<>();
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map.put("data", reportMapper.scheduleProductionScheduleMp(offset, pageSize, selectTime1, selectTime2,processes, scheduleProductionScheduleDTO));
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map.put("total", reportMapper.getScheduleProductionScheduleTotal(offset, pageSize, selectTime1, selectTime2,processes, scheduleProductionScheduleDTO));
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map.put("process", productionSchedulingMapper.selectProcess());
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return map;
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}
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public List exportScheduleReportSv(Map<String, Object> dates) {
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List<LocalDate> date= (List<LocalDate>) dates.get("date1");
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String process= (String) dates.get("processes");
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return reportMapper.exportScheduleReportMp(date,process);
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}
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public List exportTeamOutputSv(Map<String, Object> dates) {
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List<LocalDate> date= (List<LocalDate>) dates.get("date");
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String process= (String) dates.get("processes");
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if (process.equals("全部")){
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process="";
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}
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String laminating = reportMapper.getLaminating(process);
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return reportMapper.exportTeamOutputMp(date,process,laminating);
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}
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}
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