|
|
@@ -45,14 +45,9 @@ import java.util.stream.Collectors;
|
|
|
@Service
|
|
|
public class DataLevelServiceImpl implements IDataLevelService {
|
|
|
|
|
|
- private List<String> excelTitle = Arrays.asList("代码","数据分级","说明");
|
|
|
-
|
|
|
@Autowired
|
|
|
private DataLevelMapper dataLevelMapper;
|
|
|
|
|
|
- @Autowired
|
|
|
- private IDuceapUploadFacade uploadFacade;
|
|
|
-
|
|
|
@Override
|
|
|
public ResponseStatus dataLevelAdd(DataLevelDTO dto) {
|
|
|
String id = dto.getId();
|
|
|
@@ -153,80 +148,6 @@ public class DataLevelServiceImpl implements IDataLevelService {
|
|
|
|
|
|
}
|
|
|
|
|
|
- @Override
|
|
|
- public ResponseStatus impExcel(String fileId) {
|
|
|
- DocContentDTO fileContent = uploadFacade.getFileContent(fileId);
|
|
|
- InputStream inputStream = new ByteArrayInputStream(fileContent.getFileData());
|
|
|
- try {
|
|
|
- List<ExcelDataLevel> list = loadDataLevelFromExcel(inputStream);
|
|
|
- verifyImport(list);
|
|
|
- saveImport(list);
|
|
|
- } catch (IOException e){
|
|
|
- return ResponseStatus.fail("文件格式不正确");
|
|
|
- } catch (NumberFormatException e) {
|
|
|
- return ResponseStatus.fail(e.getMessage());
|
|
|
- }
|
|
|
- return ResponseStatus.success();
|
|
|
- }
|
|
|
-
|
|
|
- private void saveImport(List<ExcelDataLevel> list) {
|
|
|
- Date date = new Date();
|
|
|
- list.forEach(item->{
|
|
|
- DataLevel dataLevel = new DataLevel();
|
|
|
- BeanUtils.copyProperties(item, dataLevel);
|
|
|
- dataLevel.setDeleted(BooleanEnum.FALSE.value);
|
|
|
- dataLevel.setCreateTime(date);
|
|
|
- dataLevel.setDataType(DataAuthTypeCodeEnum.AUTH_DATA_LEVEL.value);
|
|
|
- dataLevelMapper.insert(dataLevel);
|
|
|
- });
|
|
|
- }
|
|
|
-
|
|
|
- private void verifyImport(List<ExcelDataLevel> list) {
|
|
|
- if(list.size() > 1000) {
|
|
|
- throw new NumberFormatException("导入条数超过1000条！！！");
|
|
|
- }
|
|
|
-
|
|
|
- String codeEmpRows = list.stream().filter(item -> StringUtils.isBlank(item.getLevelCode()))
|
|
|
- .map(item -> item.getRowNum().toString())
|
|
|
- .collect(Collectors.joining(","));
|
|
|
- if(StringUtils.isNotBlank(codeEmpRows)) {
|
|
|
- throw new NumberFormatException("第【"+ codeEmpRows +"】行【代码】列为空");
|
|
|
- }
|
|
|
-
|
|
|
- String nameEmpRows = list.stream().filter(item -> StringUtils.isBlank(item.getLevelName()))
|
|
|
- .map(item -> item.getRowNum().toString())
|
|
|
- .collect(Collectors.joining(","));
|
|
|
- if(StringUtils.isNotBlank(nameEmpRows)) {
|
|
|
- throw new NumberFormatException("第【"+ nameEmpRows +"】行【数据分级】列为空");
|
|
|
- }
|
|
|
-
|
|
|
- String remarkLengthRows = list.stream().filter(item -> {
|
|
|
- String remark = item.getRemark();
|
|
|
- return StringUtils.isNotBlank(remark) && remark.length() > 500;
|
|
|
- }).map(item -> item.getRowNum().toString()).collect(Collectors.joining(","));
|
|
|
- if(StringUtils.isNotBlank(remarkLengthRows)) {
|
|
|
- throw new NumberFormatException("第【"+ remarkLengthRows +"】行【说明】列超过500个字符！！！");
|
|
|
- }
|
|
|
- //校验导入的数据中是否存在重复
|
|
|
- Map<String, List<ExcelDataLevel>> map = list.stream()
|
|
|
- .collect(Collectors.groupingBy(ExcelDataLevel::getLevelCode));
|
|
|
- String dupCodes = map.values().stream()
|
|
|
- .filter(item -> item.size() >= 2)
|
|
|
- .map(item -> item.get(0).getLevelCode())
|
|
|
- .collect(Collectors.joining(","));
|
|
|
- if(StringUtils.isNotBlank(dupCodes)) {
|
|
|
- throw new NumberFormatException("导入的数据中存在重复代码：【"+ dupCodes +"】");
|
|
|
- }
|
|
|
-
|
|
|
- //校验编码是否存在
|
|
|
- List<String> codes = list.stream().map(ExcelDataLevel::getLevelCode).distinct().collect(Collectors.toList());
|
|
|
- List<DataLevel> existList = getByCodes(codes);
|
|
|
- if (CollectionUtils.isNotEmpty(existList)) {
|
|
|
- String existCodes = existList.stream().map(DataLevel::getLevelCode).collect(Collectors.joining(","));
|
|
|
- throw new NumberFormatException("【"+ existCodes +"】代码已被使用");
|
|
|
- }
|
|
|
- }
|
|
|
-
|
|
|
@Override
|
|
|
public List<DataLevel> getByCodes(List<String> codes) {
|
|
|
LambdaQueryWrapper<DataLevel> queryWrapper = new LambdaQueryWrapper<>();
|
|
|
@@ -249,43 +170,6 @@ public class DataLevelServiceImpl implements IDataLevelService {
|
|
|
return dataLevelMapper.selectList(queryWrapper);
|
|
|
}
|
|
|
|
|
|
- private List<ExcelDataLevel> loadDataLevelFromExcel(InputStream inputStream) throws IOException {
|
|
|
- List<ExcelDataLevel> list = new ArrayList<>();
|
|
|
- Workbook wb0 = new HSSFWorkbook(inputStream);
|
|
|
- //获取Excel文档中的第一个表单
|
|
|
- Sheet sht0 = wb0.getSheetAt(0);
|
|
|
- for (Row r : sht0) {
|
|
|
- if (r.getRowNum() == 0) {
|
|
|
- ImportUtil.checkTitle(r, excelTitle);
|
|
|
- }else {
|
|
|
- if(ImportUtil.checkIsEmpty(r, 2)) {
|
|
|
- continue;
|
|
|
- }
|
|
|
- ExcelDataLevel dataLevel = getDataLevelFromRow(r);
|
|
|
- list.add(dataLevel);
|
|
|
- }
|
|
|
- }
|
|
|
- return list;
|
|
|
- }
|
|
|
-
|
|
|
- private ExcelDataLevel getDataLevelFromRow(Row r) {
|
|
|
- ExcelDataLevel dataLevel = new ExcelDataLevel();
|
|
|
- dataLevel.setRowNum(r.getRowNum());
|
|
|
- Cell cell;
|
|
|
- //码值
|
|
|
- cell = r.getCell(0);
|
|
|
- String code = ImportUtil.getCellStringValue(cell);
|
|
|
- dataLevel.setLevelCode(code);
|
|
|
- //数据分级
|
|
|
- cell = r.getCell(1);
|
|
|
- String name = ImportUtil.getCellStringValue(cell);
|
|
|
- dataLevel.setLevelName(name);
|
|
|
- //说明
|
|
|
- cell = r.getCell(2);
|
|
|
- String remark = ImportUtil.getCellStringValue(cell);
|
|
|
- dataLevel.setRemark(remark);
|
|
|
- return dataLevel;
|
|
|
- }
|
|
|
|
|
|
private void saveByCode(DataLevel dataLevel) {
|
|
|
DataLevel exist = this.getByCode(dataLevel.getLevelCode());
|
马志强