使用apache poi格式化对象中的输出

Excel File for referenceHello ppl I used the following code to read the excel sheet. can you help me formatting the output data in an object in such a way that I should get the below mentioned json structure when I convert the object to json using some api's? I have also attached the excel sheet img for ref. i.e output structure should be similar to Map(List(Map(Map))) and also please refer the json

我使用了下面的代码来读取Excel表格。您能帮助我在对象中格式化输出数据，使我在使用一些api将对象转换为json时能够得到下面提到的json结构吗?我还附上了excel表格img供参考。e输出结构应该与Map(List(Map(Map)))相似，也请参考json

public class readingexcel {

    public void readXLSXFile(String fileName) {
        InputStream XlsxFileToRead = null;
        XSSFWorkbook workbook = null;
        try {
            XlsxFileToRead = new FileInputStream(fileName);

            //Getting the workbook instance for xlsx file
            workbook = new XSSFWorkbook(XlsxFileToRead);
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        } catch (IOException e) {
            e.printStackTrace();
        }

        //getting the first sheet from the workbook using sheet name. 
        // We can also pass the index of the sheet which starts from '0'.
        XSSFSheet sheet = workbook.getSheet("Sheet1");
        XSSFRow row;
        XSSFCell cell;

        //Iterating all the rows in the sheet
        Iterator rows = sheet.rowIterator();

        while (rows.hasNext()) {
            row = (XSSFRow) rows.next();

            //Iterating all the cells of the current row
            Iterator cells = row.cellIterator();

            while (cells.hasNext()) {
                cell = (XSSFCell) cells.next();

                if (cell.getCellType() == XSSFCell.CELL_TYPE_STRING) {
                    System.out.print(cell.getStringCellValue() + " ");
                } else if (cell.getCellType() == XSSFCell.CELL_TYPE_NUMERIC) {
                    System.out.print(cell.getNumericCellValue() + " ");
                } else if (cell.getCellType() == XSSFCell.CELL_TYPE_BOOLEAN) {
                    System.out.print(cell.getBooleanCellValue() + " ");

                } else { // //Here if require, we can also add below methods to
                            // read the cell content
                            // XSSFCell.CELL_TYPE_BLANK
                            // XSSFCell.CELL_TYPE_FORMULA
                            // XSSFCell.CELL_TYPE_ERROR
                }
            }
            System.out.println();
            try {
                XlsxFileToRead.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }

    public static void main(String[] args) {
        readingexcel readXlsx = new readingexcel();
        readXlsx.readXLSXFile("stack.xlsx");    
    }

}

This is the json struture (please ignore the syntax)

这是json结构(请忽略语法)

Sheet1
    {
    Month
            [
                {
                    BL :
                        {
                            "A":42,
                            "B":19,
                            "C":20,
                            "D":11,
                            "E":22,
                            "F":44,
                            "G":76,
                            "H":12                  
                        }
                    },
                    {
                        JAN :
                        {
                            "A":6,
                            "B":4,
                            "C":2,
                            "D":1,
                            "E":8,
                            "F":7,
                            "G":2,
                            "H":5                   
                        }
                    }
                    FEB :
                        {
                            "A":5,
                            "B":6,
                            "C":8,
                            "D":9,
                            "E":7,
                            "F":6,
                            "G":4,
                            "H":2                   
                        }
                        .
                        .
                        .
                        DEC :
                        {
                            "A":4,
                            "B":2,
                            "C":1,
                            "D":9,
                            "E":8,
                            "F":7,
                            "G":4,
                            "H":3                   
                        }
                    }
                }
            ]
        WEEK
        [
            {
                BL:
                {
                    "I":42,
                    "J":19,
                    "K":20
                }
                WK-01:
                {
                    "I":6,
                    "J":4
                    "K":2
                }
                WK-02:
                {
                    "I":5,
                    "J":6,
                    "K":8
                }
                .
                .
                .
                WK-52:
                {
                    "I":1,
                    "J":4,
                    "K":6
                }

            }
        ]

1 个解决方案

#1

Here is the complete code to parse the file into a Map<String, Map<String, List<Map<String, Map<String, Integer>>>>> as required (See suggested improvements at the end)

下面是将文件解析为Map >>>> >的完整代码(参见末尾建议的改进) ,>

• This can parse all the sheets you have in your XLS file, as long as they all have the same general table structure.

  这可以解析XLS文件中所有的表，只要它们具有相同的通用表结构。

• The table positions are automatically found (because their name is on the top left corner), you just have to provide the name of the table to the extractTable() method.

  将自动找到表的位置(因为它们的名称在左上角)，您只需向extractTable()方法提供表的名称。

Code

代码

public class ExcelReader {

  public static void main(String[] args) {
    String jsonString = new ExcelReader().fileToJson("stack.xlsx");
    System.out.print(jsonString);
  }

  // Parses the file into a JSON string
  private String fileToJson(String filename) {
    List<XSSFSheet> sheets = getSheets(filename);
    Map<String, Map<String, List<Map<String, Map<String, Integer>>>>> workbookMap = parseSheets(sheets);
    return toJsonString(workbookMap);
  }

  // Make a list of XSSFSheets out of the file
  private List<XSSFSheet> getSheets(String fileName) {
    List<XSSFSheet> sheets = new ArrayList<>();
    try(InputStream XlsxFileToRead = new FileInputStream(fileName)) {
      //Getting the workbook instance for xlsx file
      XSSFWorkbook workbook = new XSSFWorkbook(XlsxFileToRead);

      //Getting all the sheets
      for (int i=0; i<workbook.getNumberOfSheets(); i++) {
        sheets.add(workbook.getSheetAt(i));
      }

    } catch (IOException e) {
      e.printStackTrace();
    }
    return sheets;
  }

  // Parse a list of sheets into the desired structure
  private Map<String, Map<String, List<Map<String, Map<String, Integer>>>>> parseSheets(List<XSSFSheet> xsshSheets) {
    Map<String, Map<String, List<Map<String, Map<String, Integer>>>>> workbookMap = new HashMap<>();
    for(XSSFSheet xssfSheet : xsshSheets) {
      String name = xssfSheet.getSheetName();
      Map<String, List<Map<String, Map<String, Integer>>>> sheetMap = parseSheet(xssfSheet);
      workbookMap.put(name, sheetMap);
    }
    return workbookMap;
  }


  // Parses a sheet into the desired structure
  private Map<String, List<Map<String, Map<String, Integer>>>> parseSheet(XSSFSheet xsshSheet) {
    List<Map<String, Map<String, Integer>>> months = extractTable(xsshSheet, "Month");
    List<Map<String, Map<String, Integer>>> weeks = extractTable(xsshSheet, "Week");
    List<Map<String, Map<String, Integer>>> days = extractTable(xsshSheet, "Daily");

    Map<String, List<Map<String, Map<String, Integer>>>> sheet = new HashMap<>();
    sheet.put("MONTH", months);
    sheet.put("WEEK", weeks);
    sheet.put("DAILY", days);
    return sheet;
  }

  // Extracts a table
  private List<Map<String, Map<String, Integer>>> extractTable(XSSFSheet sheet, String tableName) {
    Cell tablePosition = findTablePosition(sheet, tableName);
    if(tablePosition!=null)
      return extractTable(sheet, tablePosition);
    else return null;
  }

  // Finds the position of the cell with the given text
  private Cell findTablePosition(XSSFSheet sheet, String tableName) {
    for (Row row : sheet) {
      for (Cell cell : row) {
        if(cell.getCellTypeEnum() == CellType.STRING && tableName.equals(cell.getStringCellValue())) {
          return cell;
        }
      }
    }
    return null;
  }

  // Extract a table
  private List<Map<String, Map<String, Integer>>> extractTable(XSSFSheet sheet, Cell tablePosition) {
    List<Map<String, Map<String, Integer>>> table = new ArrayList<>();

    int headerRow = tablePosition.getRowIndex();
    int valuesHeaderColumn = tablePosition.getColumnIndex();

    // read all columns and rows until finding an empty one
    int row = headerRow + 1;
    int col = valuesHeaderColumn + 1;

    // read all columns starting at col
    while(true) {
      Map<String, Map<String, Integer>> tableColumn = new HashMap<>();
      Cell headerCell = sheet.getRow(headerRow).getCell(col);
      if(headerCell == null)
        break;
      String columnName = headerCell.getStringCellValue().toUpperCase();
      if("".equals(columnName))
        break;

      // read all rows starting at row
      Map<String, Integer> values = new HashMap<>();
      while(true) {
        Row valueHeaderRow = sheet.getRow(row);
        if(valueHeaderRow == null)
          break;
        Cell valueHeaderCell = valueHeaderRow.getCell(valuesHeaderColumn);
        String valueHeader = valueHeaderCell.getStringCellValue();
        if("".equals(valueHeader))
          break;
        Cell valueCell = sheet.getRow(row).getCell(col);
        Integer value = (int)valueCell.getNumericCellValue();
        values.put(valueHeader, value);
        row++;
      }

      tableColumn.put(columnName, values);
      // Add the columns map to the list
      table.add(tableColumn);
      col++;
      row = headerRow + 1;
    }
    return table;
  }

  // Create the JSON string using Jackson ObjectMapper
  private String toJsonString(Object o) {
    ObjectMapper objectMapper = new ObjectMapper();
    String jsonString = null;
    try {
      jsonString = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(o);
    } catch(JsonProcessingException e) {
      e.printStackTrace();
    }
    return jsonString;
  }
}

Generated JSON (using Jackson's ObjectMapper):

生成JSON(使用Jackson的ObjectMapper):

{
  "Sheet2" : {
    "MONTH" : [ {
      "BL" : {
        "A" : 42,
        "B" : 19,
        "C" : 20,
        "D" : 11,
        "E" : 22,
        "F" : 44,
        "G" : 76,
        "H" : 12
      }
    }, {
      "JAN" : {
        "A" : 4,
        "B" : 4,
        "C" : 2,
        "D" : 1,
        "E" : 8,
        "F" : 7,
        "G" : 2,
        "H" : 5
      }
    }, {
      "FEB" : {
        "A" : 5,
        "B" : 6,
        "C" : 8,
        "D" : 9,
        "E" : 7,
        "F" : 6,
        "G" : 4,
        "H" : 2
      }
    }, {
      "MAR" : {
        "A" : 4,
        "B" : 2,
        "C" : 1,
        "D" : 9,
        "E" : 8,
        "F" : 7,
        "G" : 4,
        "H" : 3
      }
    }, {
      "APR" : {
        "A" : 5,
        "B" : 6,
        "C" : 6,
        "D" : 4,
        "E" : 3,
        "F" : 2,
        "G" : 1,
        "H" : 3
      }
    }, {
      "MAY" : {
        "A" : 5,
        "B" : 3,
        "C" : 2,
        "D" : 1,
        "E" : 6,
        "F" : 7,
        "G" : 6,
        "H" : 5
      }
    }, {
      "JUN" : {
        "A" : 6,
        "B" : 7,
        "C" : 8,
        "D" : 6,
        "E" : 4,
        "F" : 3,
        "G" : 2,
        "H" : 1
      }
    }, {
      "JUL" : {
        "A" : 4,
        "B" : 6,
        "C" : 3,
        "D" : 4,
        "E" : 5,
        "F" : 7,
        "G" : 9,
        "H" : 8
      }
    }, {
      "AUG" : {
        "A" : 1,
        "B" : 5,
        "C" : 3,
        "D" : 6,
        "E" : 7,
        "F" : 8,
        "G" : 1,
        "H" : 2
      }
    }, {
      "SEP" : {
        "A" : 4,
        "B" : 5,
        "C" : 4,
        "D" : 3,
        "E" : 5,
        "F" : 2,
        "G" : 4,
        "H" : 3
      }
    }, {
      "OCT" : {
        "A" : 1,
        "B" : 2,
        "C" : 4,
        "D" : 5,
        "E" : 7,
        "F" : 9,
        "G" : 8,
        "H" : 7
      }
    }, {
      "NOV" : {
        "A" : 5,
        "B" : 6,
        "C" : 8,
        "D" : 9,
        "E" : 7,
        "F" : 6,
        "G" : 4,
        "H" : 2
      }
    }, {
      "DEC" : {
        "A" : 4,
        "B" : 2,
        "C" : 1,
        "D" : 9,
        "E" : 8,
        "F" : 7,
        "G" : 4,
        "H" : 3
      }
    } ],
    "DAILY" : [ {
      "BL" : {
        "L" : 42,
        "M" : 19,
        "N" : 20
      }
    }, {
      "D-01" : {
        "L" : 6,
        "M" : 4,
        "N" : 2
      }
    }, {
      "D-02" : {
        "L" : 5,
        "M" : 6,
        "N" : 8
      }
    }, {
      "D-03" : {
        "L" : 4,
        "M" : 2,
        "N" : 1
      }
    }, {
      "D-04" : {
        "L" : 5,
        "M" : 6,
        "N" : 6
      }
    }, {
      "D-05" : {
        "L" : 5,
        "M" : 3,
        "N" : 2
      }
    }, {
      "D-06" : {
        "L" : 6,
        "M" : 7,
        "N" : 8
      }
    }, {
      "D-07" : {
        "L" : 4,
        "M" : 6,
        "N" : 3
      }
    } ],
    "WEEK" : [ {
      "BL" : {
        "I" : 42,
        "J" : 19,
        "K" : 20
      }
    }, {
      "WK-01" : {
        "I" : 6,
        "J" : 4,
        "K" : 2
      }
    }, {
      "WK-02" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-03" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-04" : {
        "I" : 5,
        "J" : 6,
        "K" : 6
      }
    }, {
      "WK-05" : {
        "I" : 5,
        "J" : 3,
        "K" : 2
      }
    }, {
      "WK-06" : {
        "I" : 6,
        "J" : 7,
        "K" : 8
      }
    }, {
      "WK-07" : {
        "I" : 4,
        "J" : 6,
        "K" : 3
      }
    }, {
      "WK-08" : {
        "I" : 1,
        "J" : 5,
        "K" : 3
      }
    }, {
      "WK-09" : {
        "I" : 4,
        "J" : 5,
        "K" : 4
      }
    }, {
      "WK-10" : {
        "I" : 1,
        "J" : 2,
        "K" : 4
      }
    }, {
      "WK-11" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-12" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-13" : {
        "I" : 42,
        "J" : 19,
        "K" : 20
      }
    }, {
      "WK-14" : {
        "I" : 6,
        "J" : 4,
        "K" : 2
      }
    }, {
      "WK-15" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-16" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-17" : {
        "I" : 5,
        "J" : 6,
        "K" : 6
      }
    }, {
      "WK-18" : {
        "I" : 5,
        "J" : 3,
        "K" : 2
      }
    }, {
      "WK-19" : {
        "I" : 6,
        "J" : 7,
        "K" : 8
      }
    }, {
      "WK-20" : {
        "I" : 4,
        "J" : 6,
        "K" : 3
      }
    }, {
      "WK-21" : {
        "I" : 1,
        "J" : 5,
        "K" : 3
      }
    }, {
      "WK-22" : {
        "I" : 4,
        "J" : 5,
        "K" : 4
      }
    }, {
      "WK-23" : {
        "I" : 1,
        "J" : 2,
        "K" : 4
      }
    }, {
      "WK-24" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-25" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-26" : {
        "I" : 42,
        "J" : 19,
        "K" : 20
      }
    }, {
      "WK-27" : {
        "I" : 6,
        "J" : 4,
        "K" : 2
      }
    }, {
      "WK-28" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-29" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-30" : {
        "I" : 5,
        "J" : 6,
        "K" : 6
      }
    }, {
      "WK-31" : {
        "I" : 5,
        "J" : 3,
        "K" : 2
      }
    }, {
      "WK-32" : {
        "I" : 6,
        "J" : 7,
        "K" : 8
      }
    }, {
      "WK-33" : {
        "I" : 4,
        "J" : 6,
        "K" : 3
      }
    }, {
      "WK-34" : {
        "I" : 1,
        "J" : 5,
        "K" : 3
      }
    }, {
      "WK-35" : {
        "I" : 4,
        "J" : 5,
        "K" : 4
      }
    }, {
      "WK-36" : {
        "I" : 1,
        "J" : 2,
        "K" : 4
      }
    }, {
      "WK-37" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-38" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-39" : {
        "I" : 42,
        "J" : 19,
        "K" : 20
      }
    }, {
      "WK-40" : {
        "I" : 6,
        "J" : 4,
        "K" : 2
      }
    }, {
      "WK-41" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-42" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-43" : {
        "I" : 5,
        "J" : 6,
        "K" : 6
      }
    }, {
      "WK-44" : {
        "I" : 5,
        "J" : 3,
        "K" : 2
      }
    }, {
      "WK-45" : {
        "I" : 6,
        "J" : 7,
        "K" : 8
      }
    }, {
      "WK-46" : {
        "I" : 4,
        "J" : 6,
        "K" : 3
      }
    }, {
      "WK-47" : {
        "I" : 1,
        "J" : 5,
        "K" : 3
      }
    }, {
      "WK-48" : {
        "I" : 4,
        "J" : 5,
        "K" : 4
      }
    }, {
      "WK-49" : {
        "I" : 1,
        "J" : 2,
        "K" : 4
      }
    }, {
      "WK-50" : {
        "I" : 5,
        "J" : 6,
        "K" : 8
      }
    }, {
      "WK-51" : {
        "I" : 4,
        "J" : 2,
        "K" : 1
      }
    }, {
      "WK-52" : {
        "I" : 1,
        "J" : 4,
        "K" : 6
      }
    } ]
  },
  "Sheet1" : {
    "MONTH" : [ {
      "BL" : {
        "A" : 42,
        "B" : 19,
        "C" : 20,
        "D" : 11,
        "E" : 22,
        "F" : 44,
        "G" : 76,
        "H" : 12
      }
    }, {
      "JAN" : {
        "A" : 4,
        "B" : 4,
        "C" : 2,
        "D" : 1,
        "E" : 8,
        "F" : 7,
        "G" : 2,
        "H" : 5
      }
    }, {
      "FEB" : {
        "A" : 5,
        "B" : 6,
        "C" : 8,
        "D" : 9,
        "E" : 7,
        "F" : 6,
        "G" : 4,
        "H" : 2
      }
    }, {
      "MAR" : {
        "A" : 4,
        "B" : 2,
        "C" : 1,
        "D" : 9,
        "E" : 8,
        "F" : 7,
        "G" : 4,
        "H" : 3
      }
    }, {
      "APR" : {
        "A" : 5,
        "B" : 6,
        "C" : 6,
        "D" : 4,
        "E" : 3,
        "F" : 2,
        "G" : 1,
        "H" : 3
      }
    }, {
      "MAY" : {
        "A" : 5,
        "B" : 3,
        "C" : 2,
        "D" : 1,
        "E" : 6,
        "F" : 7,
        "G" : 6,
        "H" : 5
      }
    }, {
      "JUN" : {
        "A" : 6,
        "B" : 7,
        "C" : 8,
        "D" : 6,
        "E" : 4,
        "F" : 3,
        "G" : 2,
        "H" : 1
      }
    }, {
      "JUL" : {
        "A" : 4,
        "B" : 6,
        "C" : 3,
        "D" : 4,
        "E" : 5,
        "F" : 7,
        "G" : 9,
        "H" : 8
      }
    }, {
      "AUG" : {
        "A" : 1,
        "B" : 5,
        "C" : 3,
        "D" : 6,
        "E" : 7,
        "F" : 8,
        "G" : 1,
        "H" : 2
      }
    }, {
      "SEP" : {
        "A" : 4,
        "B" : 5,
        "C" : 4,
        "D" : 3,
        "E" : 5,
        "F" : 2,
        "G" : 4,
        "H" : 3
      }
    }, {
      "OCT" : {
        "A" : 1,
        "B" : 2,
        "C" : 4,
        "D" : 5,
        "E" : 7,
        "F" : 9,
        "G" : 8,
        "H" : 7
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}

Suggested improvements

建议改进

You required all the structure to be Maps and Lists, however I think it would be lot nicer to have POJOs for Workbook, Sheet, Table. It would simplify the notation a great deal and could be written into JSON the same way using the ObjectMapper.

您要求所有的结构都是映射和列表，但是我认为如果有工作簿、表和表的pojo就更好了。它可以简化符号，并且可以用ObjectMapper以同样的方式写入JSON。