DefaultWorkItemParser.java

package com.metservice.kanban.csv;

import static com.metservice.kanban.csv.CsvConstants.*;
import org.apache.commons.lang.StringUtils;
import org.joda.time.LocalDate;
import com.metservice.kanban.model.WorkItem;
import com.metservice.kanban.model.WorkItemType;

public class DefaultWorkItemParser implements WorkItemParser {

    private final WorkItemType type;

    public DefaultWorkItemParser(WorkItemType type) {
        this.type = type;
    }

    @Override
    public WorkItem parseWorkItem(CsvColumnNames columnNames, String[] row) {
        CsvRow dataRow = new CsvRow(columnNames, row);

        int id = dataRow.getInt(ID_COLUMN_NAME);
        int parentId = dataRow.getInt(PARENT_ID_COLUMN_NAME);
        String name = dataRow.getString(NAME_COLUMN_NAME);

        int averageCaseEstimate = dataRow.getInt(AVERAGE_CASE_ESIMATE);
        int oldSize = dataRow.getInt(SIZE_COLUMN_NAME);
        // for backwards compatibility
        if (averageCaseEstimate == CsvRow.INTEGER_DEFAULT && oldSize != CsvRow.INTEGER_DEFAULT) {
            averageCaseEstimate = oldSize;
        }

        int importance = dataRow.getInt(IMPORTANCE_COLUMN_NAME);
        String notes = dataRow.getString(NOTES_COLUMN_NAME);
        boolean excluded = dataRow.getBoolean(EXCLUDED_COLUMN_NAME);
        boolean stopped = dataRow.getBoolean(STOPPED_COLUMN_NAME);
        String color = dataRow.getString(COLOR_COLUMN_NAME);
        int worstCaseEstimate = dataRow.getInt(WORST_CASE_ESIMATE);
        boolean mustHave = dataRow.getBoolean(MUST_HAVE);
        String workStreams = dataRow.getString(WORK_STREAMS);

        WorkItem workItem = new WorkItem(id, parentId, type);
        workItem.setName(name);
        workItem.setAverageCaseEstimate(averageCaseEstimate);
        workItem.setImportance(importance);
        workItem.setNotes(notes);
        workItem.setExcluded(excluded);

        if (StringUtils.isEmpty(color)) {
            color = "ffffff";
        }
        
        workItem.setColour(color);
        workItem.setBlocked(stopped);
        workItem.setWorstCaseEstimate(worstCaseEstimate);
        workItem.setMustHave(mustHave);
        workItem.setWorkStreamsAsString(workStreams);

        for (String phase : type.getPhases()) {
            LocalDate date = dataRow.getDate(phase);
            workItem.setDate(phase, date);
        }
        return workItem;
    }
}