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TSL2 Framework Descriptor (currency-handling, generic formatter, descriptors for beans, collections, actions and values)
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package de.tsl2.nano.bean;

import java.io.File;
import java.text.SimpleDateFormat;
import java.util.Arrays;
import java.util.Collection;
import java.util.Date;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Scanner;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.stream.Collectors;

import org.apache.commons.logging.Log;

import de.tsl2.nano.bean.def.Bean;
import de.tsl2.nano.bean.def.BeanModifier;
import de.tsl2.nano.core.cls.BeanClass;
import de.tsl2.nano.core.exception.Message;
import de.tsl2.nano.core.log.LogFactory;
import de.tsl2.nano.core.util.CollectionUtil;
import de.tsl2.nano.core.util.ObjectUtil;
import de.tsl2.nano.core.util.StringUtil;
import de.tsl2.nano.core.util.Util;

/**
 *  * tries to import file content into beans of given {@link #type}. each line has to respect the given {@link #expression}. the {@link #expression} has following format:
 *
 * 	FIELDNAME1{non-alphanumeric-splitter1}FIELDNAME2{non-alphanumeric-splitter2}...
 * 
 * Features:
 * 	1. splitter with optional regular expression (marker: ^)
 *  2. splitter with optional ignoring part (marker: °)
 *  3. import file with comment (line start: #)
 *  4. import file with definition of variables (line start: §)
 *  5. value transformer as BiConsumer implementation
 *  6. default values ( key/values with attributename and value)
 *   
 * Example:
 * 
 * Bean Attributes: date, fromtime, untiltime, pause, sum, object, description
 * 
 * Expression:
 * 	
 * DATE: FROMTIME-UNTILTIME (PAUSE) XXX OBJECT: DESCRIPTION [+HOURS h OBJECT]
 * 
 * Line:
 * 21.06.: 07:30-17:00(0,5h)  9,0h TICKET-23 Analyse
 * 
 * Example:
	# definitions:
	§ type=org.anonymous.project.Charge
	§ expression=fromdate: fromtime-totime (pause^\)\:? ^value°:° chargeitem comment
	§ transformer=de.tsl2.nano.h5.timesheet.SBRImport
	§ fromtime=08:30
	§ totime=17:00
	$ pause=00:00:00
	§ value=0
	
	## ZEITEN ab 2019
	
	
	  Click to expand!
	
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	
	
	07.01.: 08:30-18:00(1,0h): 8,5h Ticket-1234
	08.01.: 09:30-19:00(1,0h): 8,5h Ticket-2345
	...
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	
 * 
 * see {@link #read(String)}.
 * @author ts
 * @param  bean type
 */
public class TransformableBeanReader {

	private static final Log LOG = LogFactory.getLog(TransformableBeanReader.class);
	
	private static final String SPLIT_NAME = "[^\\w]+";
	private static final String REGEX_NAME = "[\\w]+";

	Class type;
	String expression;
	Map properties = new HashMap<>();
	
	/** read type and expression on file start */
	public TransformableBeanReader() {
	}

	public TransformableBeanReader(Class type, String expression) {
		this.type = type;
		this.expression = expression;
	}

	protected void define(String paragraphLine) {
		String l = paragraphLine;
		String name = StringUtil.substring(l, "§", "=").trim();
		String value = StringUtil.substring(l, "=", null).trim();
		properties.put(name, value);

		switch(name) {
			case "type": 
				type = ObjectUtil.wrap(value, Class.class); 
				break;
			case "expression": 
				expression = value;
				init(expression);
				break;
		}
	}
	protected  T get(String key, T defaultValue) {
		return (T) (defaultValue != null ? ObjectUtil.wrap(properties.getOrDefault(key, defaultValue), defaultValue.getClass()) 
				: properties.getOrDefault(key, defaultValue));
	}

	protected void init(String expression) {
		String[] columns = getColumns(expression);
		String[] splitter = getSplitter(expression);
		properties.put("columns", columns);
		properties.put("splitter", splitter);
		String info = 	"\n========================================>" +
						"\nflat bean import : " + type.getName() +
						"\n  columns to import: " + StringUtil.toString(columns, -1) +
						"\n  column  splitter : " + StringUtil.toString(splitter, -1);
		LOG.info(info);
	}

	protected String[] getSplitter(String expression) {
		return Arrays.asList(expression.split(REGEX_NAME)).stream()
				.filter(s -> s.length() > 0)
				.map(s -> s.trim().isEmpty() || s.contains("^") || s.contains("°") ? s : s.trim())
				.collect(Collectors.toList()).toArray(new String[0]);
	}

	protected String[] getColumns(String expression) {
		return expression.split(SPLIT_NAME);
	}

	public static Collection