source: trunk/grails-app/services/dbnp/importer/ImporterService.groovy @ 255

/**
 * Importer service
 *
 * The importer service handles the import of tabular, comma delimited and Excel format
 * based files.
 *
 * @package     importer
 * @author      t.w.abma@umcutrecht.nl
 * @since       20100126
 *
 * Revision information:
 * $Rev: 255 $
 * $Author: tabma $
 * $Date: 2010-03-10 18:27:57 +0000 (wo, 10 mrt 2010) $
 */

package dbnp.importer
import org.apache.poi.hssf.usermodel.*
import org.apache.poi.poifs.filesystem.POIFSFileSystem
import org.apache.poi.ss.usermodel.DataFormatter
import org.apache.poi.hssf.usermodel.HSSFDateUtil
import dbnp.importer.Column
import dbnp.studycapturing.TemplateFieldType

class ImporterService {

    boolean transactional = true

    /**
    * @param is input stream representing the (workbook) resource
    * @return high level representation of the workbook
    */
    HSSFWorkbook getWorkbook(InputStream is) {
        POIFSFileSystem fs = new POIFSFileSystem(is)
        HSSFWorkbook    wb = new HSSFWorkbook(fs);
        return wb;
    }

    /**
     * @param wb high level representation of the workbook
     * @return header representation as a string array
     */
    def getHeader(HSSFWorkbook wb, int sheetindex){

        def sheet = wb.getSheetAt(sheetindex)
        def datamatrix_start = sheet.getFirstRowNum() + 1
        //def header = []
        def header = [:]
        def df = new DataFormatter()


        for (HSSFCell c: sheet.getRow(datamatrix_start)) {
            def datamatrix_celltype = sheet.getRow(datamatrix_start).getCell(c.getColumnIndex()).getCellType()
            def headercell = sheet.getRow(sheet.getFirstRowNum()).getCell(c.getColumnIndex())

            // Check for every celltype, currently redundant code, but possibly this will be 
            // a piece of custom code for every cell type like specific formatting
                
            switch (datamatrix_celltype) {
                    case HSSFCell.CELL_TYPE_STRING:
                            header[c.getColumnIndex()] = new dbnp.importer.MappingColumn(name:df.formatCellValue(headercell), templatefieldtype:TemplateFieldType.STRING);
                            break
                    case HSSFCell.CELL_TYPE_NUMERIC:                    
                            if (HSSFDateUtil.isCellDateFormatted(c)) {
                                println("DATE")
                                header[c.getColumnIndex()] = new dbnp.importer.MappingColumn(name:df.formatCellValue(headercell), templatefieldtype:TemplateFieldType.DATE)
                            }
                            else
                                header[c.getColumnIndex()] = new dbnp.importer.MappingColumn(name:df.formatCellValue(headercell), templatefieldtype:TemplateFieldType.INTEGER);
                            break
                    case HSSFCell.CELL_TYPE_BLANK:
                            header[c.getColumnIndex()] = new dbnp.importer.MappingColumn(name:df.formatCellValue(headercell), templatefieldtype:TemplateFieldType.STRING);
                            break
                    default:
                            header[c.getColumnIndex()] = new dbnp.importer.MappingColumn(name:df.formatCellValue(headercell), templatefieldtype:TemplateFieldType.STRING);
                            break
            }
        }
        return header
    }

    /**
     * This method is meant to return a matrix of the rows and columns
     * used in the preview
     *
     * @param wb workbook object
     * @param sheetindex sheet index used
     * @param rows amount of rows returned
     * @return two dimensional array (matrix) of HSSFCell objects
     */

    HSSFCell[][] getDatamatrix(HSSFWorkbook wb, int sheetindex, int count) {
        def sheet = wb.getSheetAt(sheetindex)
        def rows  = []
        def df = new DataFormatter()

        (count <= sheet.getLastRowNum()) ?
        ((1+sheet.getFirstRowNum())..count).each { rowindex ->

            def row = []
            for (HSSFCell c: sheet.getRow(rowindex))
                row.add(c)
                //row.add(df.formatCellValue(c))
            rows.add(row)
        } : 0

        return rows
    }

    /**
    * This method will move a file to a new location.
    *
    * @param file File object to move
    * @param folderpath folder to move the file to
    * @param filename (new) filename to give
    * @return if file has been moved succesful, the new path and filename will be returned, otherwise an empty string will be returned
    */
    def moveFile(File file, String folderpath, String filename) {
        try {
                def rnd = ""; //System.currentTimeMillis()
                file.transferTo(new File(folderpath, rnd+filename))
                return folderpath + filename
            } catch(Exception exception) {
                log.error "File move error, ${exception}"
                return ""
                }
    }

    /**
    * @return random numeric value
    */
    def random = {
            return System.currentTimeMillis() + Runtime.runtime.freeMemory()
        }

    /**
    * Method to read data from a workbook and to import data into the database
    * by using mapping information
    *
    *
    * @param wb POI horrible spreadsheet formatted workbook object
    * @param mc array of MappingColumns
    * @param sheetindex sheet to use when using multiple sheets
    * @param rowindex first row to start with reading the actual data (NOT the header)
    * 
    * @see dbnp.importer.MappingColumn
    */
    def importdata(HSSFWorkbook wb, int sheetindex, int rowindex, MappingColumn[] mc) {
        def sheet = wb.getSheetAt(sheetindex)
        def rows  = []

        (count <= sheet.getLastRowNum()) ?
        (rowindex..count).each { i ->

            def row = []
            for (HSSFCell c: sheet.getRow(i))
                //row.add(c)
                //row.add(df.formatCellValue(c))
                switch(mc[c.getColumnIndex()].celltype) {
                    case 0  : break
                    default : break
                }

                rows.add(row)
        } : 0
    }
}