/*jshint eqeqeq:false */
/*global jQuery, define */
(function( factory ) {
	"use strict";
	if ( typeof define === "function" && define.amd ) {
		// AMD. Register as an anonymous module.
		define([
			"jquery",
			"./grid.base",
			"./grid.grouping"
		], factory );
	} else {
		// Browser globals
		factory( jQuery );
	}
}(function( $ ) {
"use strict";
// To optimize the search we need custom array filter
// This code is taken from
// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/filter
//module begin
function _pivotfilter (fn, context) {
	/*jshint validthis: true */
	var i,
		value,
		result = [],
		length;
		
	if (!this || typeof fn !== 'function' || (fn instanceof RegExp)) {
		throw new TypeError();
	}

	length = this.length;

	for (i = 0; i < length; i++) {
		if (this.hasOwnProperty(i)) {
			value = this[i];
			if (fn.call(context, value, i, this)) {
				result.push(value);
				// We need break in order to cancel loop 
				// in case the row is found
				break;
			}
		}
	}
	return result;
}
$.assocArraySize = function(obj) {
    // http://stackoverflow.com/a/6700/11236
    var size = 0, key;
    for (key in obj) {
        if (obj.hasOwnProperty(key)) {
        	size++;
        }
    }
    return size;
};

$.jgrid.extend({
	pivotSetup : function( data, options ){
		// data should come in json format
		// The function return the new colModel and the transformed data
		// again with group setup options which then will be passed to the grid
		var columns =[],
		pivotrows =[],
		summaries = [],
		member=[],
		labels=[],
		groupOptions = {
			grouping : true,
			groupingView :  {
				groupField : [],
				groupSummary: [],
				groupSummaryPos:[]
			}
		},
		headers = [],
		o = $.extend ( {
			rowTotals : false,
			rowTotalsText : 'Total',
			// summary columns
			colTotals : false,
			groupSummary : true,
			groupSummaryPos :  'header',
			frozenStaticCols : false
		}, options || {});
		this.each(function(){

			var 
				$t = this,
				row,
				rowindex,
				i,
				
				rowlen = data.length,
				xlen, ylen, aggrlen,
				tmp,
				newObj,
				r=0;
			// utility funcs
			/* 
			 * Filter the data to a given criteria. Return the firt occurance
			 */
			function find(ar, fun, extra) {
				var res;
				res = _pivotfilter.call(ar, fun, extra);
				return res.length > 0 ? res[0] : null;
			}
			/*
			 * Check if the grouped row column exist (See find)
			 * If the row is not find in pivot rows retun null,
			 * otherviese the column
			 */
			function findGroup(item, index) {
				/*jshint validthis: true */
				var j = 0, ret = true, i;
				for(i in item) {
					if( item.hasOwnProperty(i) ) {
						if(item[i] != this[j]) {
							ret =  false;
							break;
						}
						j++;
						if(j>=this.length) {
							break;
						}
					}
				}
				if(ret) {
					rowindex =  index;
				}
				return ret;
			}
			/*
			 * Perform calculations of the pivot values.
			 */
			function calculation(oper, v, field, rc, _cnt)  {
				var ret;
				if( $.isFunction(oper)) {
					ret = oper.call($t, v, field, rc);
				} else {
					switch (oper) {
						case  "sum" : 
							ret = parseFloat(v||0) + parseFloat((rc[field]||0));
							break;
						case "count" :
							if(v==="" || v == null) {
								v=0;
							}
							if(rc.hasOwnProperty(field)) {
								ret = v+1;
							} else {
								ret = 0;
							}
							break;
						case "min" : 
							if(v==="" || v == null) {
								ret = parseFloat(rc[field]||0);
							} else {
								ret =Math.min(parseFloat(v),parseFloat(rc[field]||0));
							}
							break;
						case "max" : 
							if(v==="" || v == null) {
								ret = parseFloat(rc[field]||0);
							} else {
								ret = Math.max(parseFloat(v),parseFloat(rc[field]||0));
							}
							break;
						case "avg" : //avg grouping
							ret = (parseFloat(v||0) * (_cnt -1) + parseFloat(rc[field]||0) ) /_cnt;
							break;	
					}
				}
				return ret;
			}
			/*
			 * The function agragates the values of the pivot grid.
			 * Return the current row with pivot summary values
			 */
			function agregateFunc ( row, aggr, value, curr) {
				// default is sum
				var arrln = aggr.length, i, label, j, jv, mainval="",swapvals=[], swapstr, _cntavg = 1, lbl;
				if($.isArray(value)) {
					jv = value.length;
					swapvals = value;
				} else {
					jv = 1;
					swapvals[0]=value;
				}
				member = [];
				labels = [];
				member.root = 0;
				for(j=0;j<jv;j++) {
					var  tmpmember = [], vl;
					for(i=0; i < arrln; i++) {
						swapstr = typeof aggr[i].aggregator === 'string' ? aggr[i].aggregator : 'cust';
							
						if(value == null) {
							label = $.trim(aggr[i].member)+"_" + swapstr;
							vl = label;
							swapvals[0]= aggr[i].label || (swapstr + " " +$.trim(aggr[i].member));
						} else {
							vl = value[j].replace(/\s+/g, '');
							try {
								label = (arrln === 1 ? mainval + vl : mainval + vl + "_" + swapstr + "_" + String(i));
							} catch(e) {}
							swapvals[j] = value[j];
						}
						//if(j<=1 && vl !==  '_r_Totals' && mainval === "") { // this does not fix full the problem
							//mainval = vl;
						//}
						label = !isNaN(parseInt(label,10)) ? label + " " : label;
						if(aggr[i].aggregator === 'avg') {
							lbl = rowindex === -1 ? pivotrows.length+"_"+label : rowindex+"_"+label;
							if(!_avg[lbl]) {
								_avg[lbl] = 1;
							} else {
								_avg[lbl]++;
							}
							_cntavg = _avg[lbl];
						}						
						curr[label] =  tmpmember[label] = calculation( aggr[i].aggregator, curr[label], aggr[i].member, row, _cntavg);
					}
					mainval += (value && value[j] != null) ? value[j].replace(/\s+/g, '') : '';
					//vl = !isNaN(parseInt(vl,10)) ? vl + " " : vl;
					member[label] = tmpmember;
					labels[label] = swapvals[j];
				}
				return curr;
			}
			// Making the row totals without to add in yDimension
			if(o.rowTotals && o.yDimension.length > 0) {
				var dn = o.yDimension[0].dataName;
				o.yDimension.splice(0,0,{dataName:dn});
				o.yDimension[0].converter =  function(){ return '_r_Totals'; };
			}
			// build initial columns (colModel) from xDimension
			xlen = $.isArray(o.xDimension) ? o.xDimension.length : 0;
			ylen = o.yDimension.length;
			aggrlen  = $.isArray(o.aggregates) ? o.aggregates.length : 0;
			if(xlen === 0 || aggrlen === 0) {
				throw("xDimension or aggregates optiona are not set!");
			}
			var colc;
			for(i = 0; i< xlen; i++) {
				colc = {name:o.xDimension[i].dataName, frozen: o.frozenStaticCols};
				if(o.xDimension[i].isGroupField == null) {
					o.xDimension[i].isGroupField =  true;
				}
				colc = $.extend(true, colc, o.xDimension[i]);
				columns.push( colc );
			}
			var groupfields = xlen - 1, tree={}, _avg=[];
			//tree = { text: 'root', leaf: false, children: [] };
			//loop over alll the source data
			while( r < rowlen ) {
				row = data[r];
				var xValue = [];
				var yValue = []; 
				tmp = {};
				i = 0;
				// build the data from xDimension
				do {
					xValue[i]  = $.trim(row[o.xDimension[i].dataName]);
					tmp[o.xDimension[i].dataName] = xValue[i];
					i++;
				} while( i < xlen );
				
				var k = 0;
				rowindex = -1;
				// check to see if the row is in our new pivotrow set
				newObj = find(pivotrows, findGroup, xValue);
				if(!newObj) {
					// if the row is not in our set
					k = 0;
					// if yDimension is set
					if(ylen>=1) {
						// build the cols set in yDimension
						for(k=0;k<ylen;k++) {
							yValue[k] = $.trim(row[o.yDimension[k].dataName]);
							// Check to see if we have user defined conditions
							if(o.yDimension[k].converter && $.isFunction(o.yDimension[k].converter)) {
								yValue[k] = o.yDimension[k].converter.call(this, yValue[k], xValue, yValue);
							}
						}
						// make the colums based on aggregates definition 
						// and return the members for late calculation
						tmp = agregateFunc( row, o.aggregates, yValue, tmp );
					} else  if( ylen === 0 ) {
						// if not set use direct the aggregates 
						tmp = agregateFunc( row, o.aggregates, null, tmp );
					}
					// add the result in pivot rows
					pivotrows.push( tmp );
				} else {
					// the pivot exists
					if( rowindex >= 0) {
						k = 0;
						// make the recalculations 
						if(ylen>=1) {
							for(k=0;k<ylen;k++) {
								yValue[k] = $.trim(row[o.yDimension[k].dataName]);
								if(o.yDimension[k].converter && $.isFunction(o.yDimension[k].converter)) {
									yValue[k] = o.yDimension[k].converter.call(this, yValue[k], xValue, yValue);
								}
							}
							newObj = agregateFunc( row, o.aggregates, yValue, newObj );
						} else  if( ylen === 0 ) {
							newObj = agregateFunc( row, o.aggregates, null, newObj );
						}
						// update the row
						pivotrows[rowindex] = newObj;
					}
				}
				var kj=0, current = null,existing = null, kk;
				// Build a JSON tree from the member (see aggregateFunc) 
				// to make later the columns 
				// 
				for (kk in member) {
					if(member.hasOwnProperty( kk )) {
						if(kj === 0) {
							if (!tree.children||tree.children === undefined){
								tree = { text: kk, level : 0, children: [], label: kk  };
							}
							current = tree.children;
						} else {
							existing = null;
							for (i=0; i < current.length; i++) {
								if (current[i].text === kk) {
								//current[i].fields=member[kk];
									existing = current[i];
									break;
								}
							}
							if (existing) {
								current = existing.children;
							} else {
								current.push({ children: [], text: kk, level: kj,  fields: member[kk], label: labels[kk] });
								current = current[current.length - 1].children;
							}
						}
						kj++;
					}
				}
				r++;
			}
			_avg = null; // free mem
			var  lastval=[], initColLen = columns.length, swaplen = initColLen;
			if(ylen>0) {
				headers[ylen-1] = {	useColSpanStyle: false,	groupHeaders: []};
			}
			/*
			 * Recursive function which uses the tree to build the 
			 * columns from the pivot values and set the group Headers
			 */
			function list(items) {
				var l, j, key, k, col;
				for (key in items) {	 // iterate
					if (items.hasOwnProperty(key)) {
					// write amount of spaces according to level
					// and write name and newline
						if(typeof items[key] !== "object") {
							// If not a object build the header of the appropriate level
							if( key === 'level') {
								if(lastval[items.level] === undefined) {
									lastval[items.level] ='';
									if(items.level>0 && items.text.indexOf('_r_Totals') === -1) {
										headers[items.level-1] = {
											useColSpanStyle: false,
											groupHeaders: []
										};
									}
								}
								if(lastval[items.level] !== items.text && items.children.length && items.text.indexOf('_r_Totals') === -1 ) {
									if(items.level>0) {
										headers[items.level-1].groupHeaders.push({
											titleText: items.label,
											numberOfColumns : 0
										});
										var collen = headers[items.level-1].groupHeaders.length-1,
										colpos = collen === 0 ? swaplen : initColLen;//+aggrlen;
										if(items.level-1=== (o.rowTotals ? 1 : 0)) {
											if(collen>0) {
												var l1=0;
												for(var kk=0; kk<collen; kk++) { 
													l1 += headers[items.level-1].groupHeaders[kk].numberOfColumns;
												}
												if(l1) {
													colpos = l1  + xlen;
												}
											}
										}
										if(columns[colpos]) {
											headers[items.level-1].groupHeaders[collen].startColumnName = columns[colpos].name;
											headers[items.level-1].groupHeaders[collen].numberOfColumns = columns.length - colpos;
										}
										initColLen = columns.length;
									}
								}
								lastval[items.level] = items.text;
							}
							// This is in case when the member contain more than one summary item
							if(items.level === ylen  && key==='level' && ylen >0) {
								if( aggrlen > 1){
									var ll=1;
									for( l in items.fields) {
										if(items.fields.hasOwnProperty(l)) {
											if(ll===1) {
												headers[ylen-1].groupHeaders.push({startColumnName: l, numberOfColumns: 1, titleText: items.label || items.text});
											}
											ll++;
										}
									}
									headers[ylen-1].groupHeaders[headers[ylen-1].groupHeaders.length-1].numberOfColumns = ll-1;
								} else {
									headers.splice(ylen-1,1);
								}
							}
						}
						// if object, call recursively
						if (items[key] != null && typeof items[key] === "object") {
							list(items[key]);
						}
						// Finally build the columns
						if( key === 'level') {
							if( items.level > 0 &&  (items.level === (ylen===0?items.level:ylen) || lastval[items.level].indexOf('_r_Totals') !== -1 ) ){
								j=0;
								for(l in items.fields) {
									if(items.fields.hasOwnProperty( l ) ) {
										col = {};
										for(k in o.aggregates[j]) {
											if(o.aggregates[j].hasOwnProperty(k)) {
												switch( k ) {
													case 'member':
													case 'label':
													case 'aggregator':
														break;
													default:
														col[k] = o.aggregates[j][k];
												}
											}
										}	
										if(aggrlen > 1) {
											col.name = l;
											col.label = o.aggregates[j].label || items.label;
										} else {
											col.name = items.text;
											col.label = items.text==='_r_Totals' ? o.rowTotalsText : items.label;
										}
										columns.push (col);
										j++;
									}
								}
							}
						}
					}
				}
			}

			list( tree );
			var nm;
			// loop again trougth the pivot rows in order to build grand total 
			if(o.colTotals) {
				var plen = pivotrows.length;
				while(plen--) {
					for(i=xlen;i<columns.length;i++) {
						nm = columns[i].name;
						if(!summaries[nm]) {
							summaries[nm] = parseFloat(pivotrows[plen][nm] || 0);
						} else {
							summaries[nm] += parseFloat(pivotrows[plen][nm] || 0);
						}
					}
				}
			}
			// based on xDimension  levels build grouping 
			if( groupfields > 0) {
				for(i=0;i<groupfields;i++) {
					if(columns[i].isGroupField) {
						groupOptions.groupingView.groupField.push(columns[i].name);
						groupOptions.groupingView.groupSummary.push(o.groupSummary);
						groupOptions.groupingView.groupSummaryPos.push(o.groupSummaryPos);
					}
				}
			} else {
				// no grouping is needed
				groupOptions.grouping = false;
			}
			groupOptions.sortname = columns[groupfields].name;
			groupOptions.groupingView.hideFirstGroupCol = true;
		});
		// return the final result.
		return { "colModel" : columns, "rows": pivotrows, "groupOptions" : groupOptions, "groupHeaders" :  headers, summary : summaries };
	},
	jqPivot : function( data, pivotOpt, gridOpt, ajaxOpt) {
		return this.each(function(){
			var $t = this,
				regional = gridOpt.regional ? gridOpt.regional : "en";
			if(pivotOpt.loadMsg === undefined) {
				pivotOpt.loadMsg = true;
			}
			if(pivotOpt.loadMsg) {
				$("<div class='loading_pivot ui-state-default ui-state-active row'>"+$.jgrid.getRegional($t, "regional."+regional+".defaults.loadtext")+"</div>").insertBefore($t).show();
			}

			function pivot( data) {
				if( $.isFunction( pivotOpt.onInitPivot ) ) {
					pivotOpt.onInitPivot.call( $t );
				}
				if(!$.isArray(data)) {
					//throw "data provides is not an array";
					data = [];
				}
				var pivotGrid = jQuery($t).jqGrid('pivotSetup',data, pivotOpt),
				footerrow = $.assocArraySize(pivotGrid.summary) > 0 ? true : false,
				query= $.jgrid.from.call($t, pivotGrid.rows), i, so, st, len;
				if(pivotOpt.ignoreCase) {
					query = query.ignoreCase();
				}
				for(i=0; i< pivotGrid.groupOptions.groupingView.groupField.length; i++) {
					so = pivotOpt.xDimension[i].sortorder ? pivotOpt.xDimension[i].sortorder : 'asc';
					st = pivotOpt.xDimension[i].sorttype ? pivotOpt.xDimension[i].sorttype : 'text';
					query.orderBy(pivotGrid.groupOptions.groupingView.groupField[i], so, st, '', st);
				}
				len = pivotOpt.xDimension.length;
				if(gridOpt.sortname) { // should be a part of xDimension
					so = gridOpt.sortorder ? gridOpt.sortorder : 'asc';
					st = 'text';
					for( i=0; i< len; i++) {
						if(pivotOpt.xDimension[i].dataName === gridOpt.sortname) {
							st = pivotOpt.xDimension[i].sorttype ? pivotOpt.xDimension[i].sorttype : 'text';
							break;
						}
					}
					query.orderBy(gridOpt.sortname, so, st, '', st);
				} else {
					if(pivotGrid.groupOptions.sortname && len) {
						so = pivotOpt.xDimension[len-1].sortorder ? pivotOpt.xDimension[len-1].sortorder : 'asc';
						st = pivotOpt.xDimension[len-1].sorttype ? pivotOpt.xDimension[len-1].sorttype : 'text';
						query.orderBy(pivotGrid.groupOptions.sortname, so, st, '', st);					
					}
				}
				jQuery($t).jqGrid($.extend(true, {
					datastr: $.extend(query.select(),footerrow ? {userdata:pivotGrid.summary} : {}),
					datatype: "jsonstring",
					footerrow : footerrow,
					userDataOnFooter: footerrow,
					colModel: pivotGrid.colModel,
					viewrecords: true,
					sortname: pivotOpt.xDimension[0].dataName // ?????
				}, pivotGrid.groupOptions, gridOpt || {}));
				var gHead = pivotGrid.groupHeaders;
				if(gHead.length) {
					for( i = 0;i < gHead.length ; i++) {
						if(gHead[i] && gHead[i].groupHeaders.length) {
							jQuery($t).jqGrid('setGroupHeaders',gHead[i]);
						}
					}
				}
				if(pivotOpt.frozenStaticCols) {
					jQuery($t).jqGrid("setFrozenColumns");
				}
				if( $.isFunction( pivotOpt.onCompletePivot ) ) {
					pivotOpt.onCompletePivot.call( $t );
				}
				if(pivotOpt.loadMsg) {
					$(".loading_pivot").remove();
				}
			}
						
			if(typeof data === "string") {
				$.ajax($.extend({
					url : data,
					dataType: 'json',
					success : function(response) {
						pivot($.jgrid.getAccessor(response, ajaxOpt && ajaxOpt.reader ? ajaxOpt.reader: 'rows') );
					}
				}, ajaxOpt || {}) );
			} else {
				pivot( data );
			}
		});
	}
});
//module end
}));
