mirror of
https://github.com/koalyptus/TableFilter.git
synced 2026-03-18 00:19:50 +01:00
Started using es6
This commit is contained in:
Max Guglielmi
parent
4603ce4302
commit
e8fba7cedd
27 changed files with 977 additions and 1844 deletions
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@ -1,98 +1,98 @@
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define(['../dom'], function (dom) {
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'use strict';
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define(["exports", "../dom"], function (exports, _dom) {
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"use strict";
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/**
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* Alternating rows color
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* @param {Object} tf TableFilter instance
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*/
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function AlternateRows(tf) {
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var f = tf.fObj;
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//defines css class for even rows
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this.evenCss = f.even_row_css_class || 'even';
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//defines css class for odd rows
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this.oddCss = f.odd_row_css_class || 'odd';
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var _classProps = function (child, staticProps, instanceProps) {
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if (staticProps) Object.defineProperties(child, staticProps);
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if (instanceProps) Object.defineProperties(child.prototype, instanceProps);
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};
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this.tf = tf;
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}
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var dom = _dom;
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var AlternateRows = (function () {
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var AlternateRows = function AlternateRows(tf) {
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var f = tf.fObj;
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//defines css class for even rows
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this.evenCss = f.even_row_css_class || "even";
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//defines css class for odd rows
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this.oddCss = f.odd_row_css_class || "odd";
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/**
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* Sets alternating rows color
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*/
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AlternateRows.prototype.set = function() {
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if(!this.tf.hasGrid && !this.tf.isFirstLoad){
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this.tf = tf;
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};
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_classProps(AlternateRows, null, {
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set: {
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writable: true,
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value: function () {
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if (!this.tf.hasGrid && !this.tf.isFirstLoad) {
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return;
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}
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var rows = this.tf.tbl.rows;
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var noValidRowsIndex = this.tf.validRowsIndex===null;
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//1st index
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var beginIndex = noValidRowsIndex ? this.tf.refRow : 0;
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// nb indexes
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var indexLen = noValidRowsIndex ?
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this.tf.nbFilterableRows+beginIndex :
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this.tf.validRowsIndex.length;
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var idx = 0;
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}
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var rows = this.tf.tbl.rows;
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var noValidRowsIndex = this.tf.validRowsIndex === null;
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//1st index
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var beginIndex = noValidRowsIndex ? this.tf.refRow : 0;
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// nb indexes
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var indexLen = noValidRowsIndex ? this.tf.nbFilterableRows + beginIndex : this.tf.validRowsIndex.length;
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var idx = 0;
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//alternates bg color
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for(var j=beginIndex; j<indexLen; j++){
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//alternates bg color
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for (var j = beginIndex; j < indexLen; j++) {
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var rowIdx = noValidRowsIndex ? j : this.tf.validRowsIndex[j];
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this.setRowBg(rowIdx, idx);
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idx++;
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}
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}
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};
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/**
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* Sets row background color
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* @param {Number} rowIdx Row index
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* @param {Number} idx Valid rows collection index needed to calculate bg
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* color
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*/
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AlternateRows.prototype.setRowBg = function(rowIdx, idx) {
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if(!this.tf.alternateBgs || isNaN(rowIdx)){
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},
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setRowBg: {
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writable: true,
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value: function (rowIdx, idx) {
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if (!this.tf.alternateBgs || isNaN(rowIdx)) {
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return;
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}
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var rows = this.tf.tbl.rows;
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var i = !idx ? rowIdx : idx;
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this.removeRowBg(rowIdx);
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dom.addClass(rows[rowIdx], (i % 2) ? this.evenCss : this.oddCss);
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}
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var rows = this.tf.tbl.rows;
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var i = !idx ? rowIdx : idx;
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this.removeRowBg(rowIdx);
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dom.addClass(
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rows[rowIdx],
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(i%2) ? this.evenCss : this.oddCss
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);
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};
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/**
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* Removes row background color
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* @param {Number} idx Row index
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*/
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AlternateRows.prototype.removeRowBg = function(idx) {
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if(isNaN(idx)){
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},
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removeRowBg: {
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writable: true,
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value: function (idx) {
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if (isNaN(idx)) {
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return;
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}
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var rows = this.tf.tbl.rows;
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dom.removeClass(rows[idx], this.oddCss);
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dom.removeClass(rows[idx], this.evenCss);
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}
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var rows = this.tf.tbl.rows;
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dom.removeClass(rows[idx], this.oddCss);
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dom.removeClass(rows[idx], this.evenCss);
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};
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/**
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* Removes all row background color
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*/
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AlternateRows.prototype.remove = function() {
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if(!this.tf.hasGrid){
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},
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remove: {
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writable: true,
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value: function () {
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if (!this.tf.hasGrid) {
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return;
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}
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var row = this.tf.tbl.rows;
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for(var i=this.tf.refRow; i<this.tf.nbRows; i++){
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}
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var row = this.tf.tbl.rows;
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for (var i = this.tf.refRow; i < this.tf.nbRows; i++) {
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this.removeRowBg(i);
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}
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this.tf.isStartBgAlternate = true;
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}
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this.tf.isStartBgAlternate = true;
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};
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AlternateRows.prototype.enable = function() {
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this.tf.alternateBgs = true;
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};
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AlternateRows.prototype.disable = function() {
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this.tf.alternateBgs = false;
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};
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},
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enable: {
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writable: true,
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value: function () {
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this.tf.alternateBgs = true;
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}
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},
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disable: {
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writable: true,
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value: function () {
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this.tf.alternateBgs = false;
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}
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}
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});
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return AlternateRows;
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});
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})();
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exports.AlternateRows = AlternateRows;
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});
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1
src/modules/alternateRows.js.map
Normal file
1
src/modules/alternateRows.js.map
Normal file
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@ -0,0 +1 @@
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@ -1,300 +1,249 @@
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define(['../dom', '../string'], function (dom, str) {
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'use strict';
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define(["exports", "../dom", "../string"], function (exports, _dom, _string) {
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"use strict";
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/**
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* Column calculations
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* @param {Object} tf TableFilter instance
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*/
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function ColOps(tf) {
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var f = tf.fObj;
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this.colOperation = f.col_operation;
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var _classProps = function (child, staticProps, instanceProps) {
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if (staticProps) Object.defineProperties(child, staticProps);
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if (instanceProps) Object.defineProperties(child.prototype, instanceProps);
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};
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this.tf = tf;
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}
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var dom = _dom;
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var str = _string;
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var ColOps = (function () {
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var ColOps = function ColOps(tf) {
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var f = tf.fObj;
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this.colOperation = f.col_operation;
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/**
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* Calculates columns' values
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* Configuration options are stored in 'colOperation' property
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* - 'id' contains ids of elements showing result (array)
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* - 'col' contains the columns' indexes (array)
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* - 'operation' contains operation type (array, values: 'sum', 'mean',
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* 'min', 'max', 'median', 'q1', 'q3')
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* - 'write_method' array defines which method to use for displaying the
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* result (innerHTML, setValue, createTextNode) - default: 'innerHTML'
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* - 'tot_row_index' defines in which row results are displayed
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* (integers array)
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*
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* - changes made by Nuovella:
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* (1) optimized the routine (now it will only process each column once),
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* (2) added calculations for the median, lower and upper quartile.
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*/
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ColOps.prototype.set = function() {
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if(!this.tf.isFirstLoad && !this.tf.hasGrid){
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return;
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}
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if(this.tf.onBeforeOperation){
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this.tf.onBeforeOperation.call(null, this.tf);
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}
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var colOperation = this.colOperation,
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labelId = colOperation.id,
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colIndex = colOperation.col,
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operation = colOperation.operation,
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outputType = colOperation.write_method,
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totRowIndex = colOperation.tot_row_index,
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excludeRow = colOperation.exclude_row,
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decimalPrecision = colOperation.decimal_precision !== undefined ?
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colOperation.decimal_precision : 2;
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//nuovella: determine unique list of columns to operate on
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var ucolIndex = [],
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ucolMax = 0;
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ucolIndex[ucolMax] = colIndex[0];
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for(var ii=1; ii<colIndex.length; ii++){
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var saved = 0;
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//see if colIndex[ii] is already in the list of unique indexes
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for(var jj=0; jj<=ucolMax; jj++){
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if(ucolIndex[jj] === colIndex[ii]){
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saved = 1;
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}
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}
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//if not saved then, save the index;
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if (saved === 0){
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ucolMax++;
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ucolIndex[ucolMax] = colIndex[ii];
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}
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}
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if(str.lower(typeof labelId)=='object' &&
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str.lower(typeof colIndex)=='object' &&
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str.lower(typeof operation)=='object'){
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var row = this.tf.tbl.rows,
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colvalues = [];
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for(var ucol=0; ucol<=ucolMax; ucol++){
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//this retrieves col values
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//use ucolIndex because we only want to pass through this loop
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//once for each column get the values in this unique column
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colvalues.push(
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this.tf.GetColValues(ucolIndex[ucol], true, excludeRow));
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//next: calculate all operations for this column
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var result,
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nbvalues=0,
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temp,
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meanValue=0,
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sumValue=0,
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minValue=null,
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maxValue=null,
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q1Value=null,
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medValue=null,
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q3Value=null,
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meanFlag=0,
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sumFlag=0,
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minFlag=0,
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maxFlag=0,
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q1Flag=0,
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medFlag=0,
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q3Flag=0,
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theList=[],
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opsThisCol=[],
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decThisCol=[],
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labThisCol=[],
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oTypeThisCol=[],
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mThisCol=-1;
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for(var k=0; k<colIndex.length; k++){
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if(colIndex[k] === ucolIndex[ucol]){
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mThisCol++;
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opsThisCol[mThisCol]=str.lower(operation[k]);
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decThisCol[mThisCol]=decimalPrecision[k];
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labThisCol[mThisCol]=labelId[k];
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oTypeThisCol = outputType !== undefined &&
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str.lower(typeof outputType)==='object' ?
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outputType[k] : null;
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switch(opsThisCol[mThisCol]){
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case 'mean':
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meanFlag=1;
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break;
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case 'sum':
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sumFlag=1;
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break;
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case 'min':
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minFlag=1;
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break;
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case 'max':
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maxFlag=1;
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break;
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case 'median':
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medFlag=1;
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break;
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case 'q1':
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q1Flag=1;
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break;
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case 'q3':
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q3Flag=1;
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break;
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}
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}
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}
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for(var j=0; j<colvalues[ucol].length; j++){
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//sort the list for calculation of median and quartiles
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if((q1Flag==1)|| (q3Flag==1) || (medFlag==1)){
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if (j<colvalues[ucol].length -1){
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for(k=j+1; k<colvalues[ucol].length; k++) {
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if(eval(colvalues[ucol][k]) <
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||||
eval(colvalues[ucol][j])){
|
||||
temp = colvalues[ucol][j];
|
||||
colvalues[ucol][j] = colvalues[ucol][k];
|
||||
colvalues[ucol][k] = temp;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
var cvalue = parseFloat(colvalues[ucol][j]);
|
||||
theList[j] = parseFloat(cvalue);
|
||||
|
||||
if(!isNaN(cvalue)){
|
||||
nbvalues++;
|
||||
if(sumFlag===1 || meanFlag===1){
|
||||
sumValue += parseFloat( cvalue );
|
||||
}
|
||||
if(minFlag===1){
|
||||
if(minValue===null){
|
||||
minValue = parseFloat( cvalue );
|
||||
} else{
|
||||
minValue = parseFloat( cvalue ) < minValue ?
|
||||
parseFloat( cvalue ): minValue;
|
||||
}
|
||||
}
|
||||
if(maxFlag===1){
|
||||
if (maxValue===null){
|
||||
maxValue = parseFloat( cvalue );
|
||||
} else {
|
||||
maxValue = parseFloat( cvalue ) > maxValue ?
|
||||
parseFloat( cvalue ): maxValue;
|
||||
}
|
||||
}
|
||||
}
|
||||
}//for j
|
||||
if(meanFlag===1){
|
||||
meanValue = sumValue/nbvalues;
|
||||
}
|
||||
if(medFlag===1){
|
||||
var aux = 0;
|
||||
if(nbvalues%2 === 1){
|
||||
aux = Math.floor(nbvalues/2);
|
||||
medValue = theList[aux];
|
||||
} else{
|
||||
medValue =
|
||||
(theList[nbvalues/2] + theList[((nbvalues/2)-1)])/2;
|
||||
}
|
||||
}
|
||||
var posa;
|
||||
if(q1Flag===1){
|
||||
posa=0.0;
|
||||
posa = Math.floor(nbvalues/4);
|
||||
if(4*posa == nbvalues){
|
||||
q1Value = (theList[posa-1] + theList[posa])/2;
|
||||
} else {
|
||||
q1Value = theList[posa];
|
||||
}
|
||||
}
|
||||
if (q3Flag===1){
|
||||
posa=0.0;
|
||||
var posb=0.0;
|
||||
posa = Math.floor(nbvalues/4);
|
||||
if (4*posa === nbvalues){
|
||||
posb = 3*posa;
|
||||
q3Value = (theList[posb] + theList[posb-1])/2;
|
||||
} else {
|
||||
q3Value = theList[nbvalues-posa-1];
|
||||
}
|
||||
}
|
||||
|
||||
for(var i=0; i<=mThisCol; i++){
|
||||
switch( opsThisCol[i] ){
|
||||
case 'mean':
|
||||
result=meanValue;
|
||||
break;
|
||||
case 'sum':
|
||||
result=sumValue;
|
||||
break;
|
||||
case 'min':
|
||||
result=minValue;
|
||||
break;
|
||||
case 'max':
|
||||
result=maxValue;
|
||||
break;
|
||||
case 'median':
|
||||
result=medValue;
|
||||
break;
|
||||
case 'q1':
|
||||
result=q1Value;
|
||||
break;
|
||||
case 'q3':
|
||||
result=q3Value;
|
||||
break;
|
||||
}
|
||||
|
||||
var precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;
|
||||
|
||||
//if outputType is defined
|
||||
if(oTypeThisCol && result){
|
||||
result = result.toFixed( precision );
|
||||
|
||||
if(dom.id(labThisCol[i])){
|
||||
switch( str.lower(oTypeThisCol) ){
|
||||
case 'innerhtml':
|
||||
if (isNaN(result) || !isFinite(result) ||
|
||||
nbvalues===0){
|
||||
dom.id(labThisCol[i]).innerHTML = '.';
|
||||
} else{
|
||||
dom.id(labThisCol[i]).innerHTML = result;
|
||||
}
|
||||
break;
|
||||
case 'setvalue':
|
||||
dom.id( labThisCol[i] ).value = result;
|
||||
break;
|
||||
case 'createtextnode':
|
||||
var oldnode = dom.id(labThisCol[i])
|
||||
.firstChild;
|
||||
var txtnode = dom.text(result);
|
||||
dom.id(labThisCol[i])
|
||||
.replaceChild(txtnode, oldnode);
|
||||
break;
|
||||
}//switch
|
||||
}
|
||||
} else {
|
||||
try{
|
||||
if(isNaN(result) || !isFinite(result) ||
|
||||
nbvalues===0){
|
||||
dom.id(labThisCol[i]).innerHTML = '.';
|
||||
} else {
|
||||
dom.id(labThisCol[i]).innerHTML =
|
||||
result.toFixed(precision);
|
||||
}
|
||||
} catch(e) {}//catch
|
||||
}//else
|
||||
}//for i
|
||||
|
||||
// row(s) with result are always visible
|
||||
var totRow = totRowIndex && totRowIndex[ucol] ?
|
||||
row[totRowIndex[ucol]] : null;
|
||||
if(totRow){
|
||||
totRow.style.display = '';
|
||||
}
|
||||
}//for ucol
|
||||
}//if typeof
|
||||
|
||||
if(this.tf.onAfterOperation){
|
||||
this.tf.onAfterOperation.call(null, this.tf);
|
||||
}
|
||||
this.tf = tf;
|
||||
};
|
||||
|
||||
_classProps(ColOps, null, {
|
||||
set: {
|
||||
writable: true,
|
||||
value: function () {
|
||||
if (!this.tf.isFirstLoad && !this.tf.hasGrid) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (this.tf.onBeforeOperation) {
|
||||
this.tf.onBeforeOperation.call(null, this.tf);
|
||||
}
|
||||
|
||||
var colOperation = this.colOperation, labelId = colOperation.id, colIndex = colOperation.col, operation = colOperation.operation, outputType = colOperation.write_method, totRowIndex = colOperation.tot_row_index, excludeRow = colOperation.exclude_row, decimalPrecision = colOperation.decimal_precision !== undefined ? colOperation.decimal_precision : 2;
|
||||
|
||||
//nuovella: determine unique list of columns to operate on
|
||||
var ucolIndex = [], ucolMax = 0;
|
||||
ucolIndex[ucolMax] = colIndex[0];
|
||||
|
||||
for (var ii = 1; ii < colIndex.length; ii++) {
|
||||
var saved = 0;
|
||||
//see if colIndex[ii] is already in the list of unique indexes
|
||||
for (var jj = 0; jj <= ucolMax; jj++) {
|
||||
if (ucolIndex[jj] === colIndex[ii]) {
|
||||
saved = 1;
|
||||
}
|
||||
}
|
||||
//if not saved then, save the index;
|
||||
if (saved === 0) {
|
||||
ucolMax++;
|
||||
ucolIndex[ucolMax] = colIndex[ii];
|
||||
}
|
||||
}
|
||||
|
||||
if (str.lower(typeof labelId) == "object" && str.lower(typeof colIndex) == "object" && str.lower(typeof operation) == "object") {
|
||||
var row = this.tf.tbl.rows, colvalues = [];
|
||||
|
||||
for (var ucol = 0; ucol <= ucolMax; ucol++) {
|
||||
//this retrieves col values
|
||||
//use ucolIndex because we only want to pass through this loop
|
||||
//once for each column get the values in this unique column
|
||||
colvalues.push(this.tf.GetColValues(ucolIndex[ucol], true, excludeRow));
|
||||
|
||||
//next: calculate all operations for this column
|
||||
var result, nbvalues = 0, temp, meanValue = 0, sumValue = 0, minValue = null, maxValue = null, q1Value = null, medValue = null, q3Value = null, meanFlag = 0, sumFlag = 0, minFlag = 0, maxFlag = 0, q1Flag = 0, medFlag = 0, q3Flag = 0, theList = [], opsThisCol = [], decThisCol = [], labThisCol = [], oTypeThisCol = [], mThisCol = -1;
|
||||
|
||||
for (var k = 0; k < colIndex.length; k++) {
|
||||
if (colIndex[k] === ucolIndex[ucol]) {
|
||||
mThisCol++;
|
||||
opsThisCol[mThisCol] = str.lower(operation[k]);
|
||||
decThisCol[mThisCol] = decimalPrecision[k];
|
||||
labThisCol[mThisCol] = labelId[k];
|
||||
oTypeThisCol = outputType !== undefined && str.lower(typeof outputType) === "object" ? outputType[k] : null;
|
||||
|
||||
switch (opsThisCol[mThisCol]) {
|
||||
case "mean":
|
||||
meanFlag = 1;
|
||||
break;
|
||||
case "sum":
|
||||
sumFlag = 1;
|
||||
break;
|
||||
case "min":
|
||||
minFlag = 1;
|
||||
break;
|
||||
case "max":
|
||||
maxFlag = 1;
|
||||
break;
|
||||
case "median":
|
||||
medFlag = 1;
|
||||
break;
|
||||
case "q1":
|
||||
q1Flag = 1;
|
||||
break;
|
||||
case "q3":
|
||||
q3Flag = 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (var j = 0; j < colvalues[ucol].length; j++) {
|
||||
//sort the list for calculation of median and quartiles
|
||||
if ((q1Flag == 1) || (q3Flag == 1) || (medFlag == 1)) {
|
||||
if (j < colvalues[ucol].length - 1) {
|
||||
for (k = j + 1; k < colvalues[ucol].length; k++) {
|
||||
if (eval(colvalues[ucol][k]) < eval(colvalues[ucol][j])) {
|
||||
temp = colvalues[ucol][j];
|
||||
colvalues[ucol][j] = colvalues[ucol][k];
|
||||
colvalues[ucol][k] = temp;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
var cvalue = parseFloat(colvalues[ucol][j]);
|
||||
theList[j] = parseFloat(cvalue);
|
||||
|
||||
if (!isNaN(cvalue)) {
|
||||
nbvalues++;
|
||||
if (sumFlag === 1 || meanFlag === 1) {
|
||||
sumValue += parseFloat(cvalue);
|
||||
}
|
||||
if (minFlag === 1) {
|
||||
if (minValue === null) {
|
||||
minValue = parseFloat(cvalue);
|
||||
} else {
|
||||
minValue = parseFloat(cvalue) < minValue ? parseFloat(cvalue) : minValue;
|
||||
}
|
||||
}
|
||||
if (maxFlag === 1) {
|
||||
if (maxValue === null) {
|
||||
maxValue = parseFloat(cvalue);
|
||||
} else {
|
||||
maxValue = parseFloat(cvalue) > maxValue ? parseFloat(cvalue) : maxValue;
|
||||
}
|
||||
}
|
||||
}
|
||||
} //for j
|
||||
if (meanFlag === 1) {
|
||||
meanValue = sumValue / nbvalues;
|
||||
}
|
||||
if (medFlag === 1) {
|
||||
var aux = 0;
|
||||
if (nbvalues % 2 === 1) {
|
||||
aux = Math.floor(nbvalues / 2);
|
||||
medValue = theList[aux];
|
||||
} else {
|
||||
medValue = (theList[nbvalues / 2] + theList[((nbvalues / 2) - 1)]) / 2;
|
||||
}
|
||||
}
|
||||
var posa;
|
||||
if (q1Flag === 1) {
|
||||
posa = 0;
|
||||
posa = Math.floor(nbvalues / 4);
|
||||
if (4 * posa == nbvalues) {
|
||||
q1Value = (theList[posa - 1] + theList[posa]) / 2;
|
||||
} else {
|
||||
q1Value = theList[posa];
|
||||
}
|
||||
}
|
||||
if (q3Flag === 1) {
|
||||
posa = 0;
|
||||
var posb = 0;
|
||||
posa = Math.floor(nbvalues / 4);
|
||||
if (4 * posa === nbvalues) {
|
||||
posb = 3 * posa;
|
||||
q3Value = (theList[posb] + theList[posb - 1]) / 2;
|
||||
} else {
|
||||
q3Value = theList[nbvalues - posa - 1];
|
||||
}
|
||||
}
|
||||
|
||||
for (var i = 0; i <= mThisCol; i++) {
|
||||
switch (opsThisCol[i]) {
|
||||
case "mean":
|
||||
result = meanValue;
|
||||
break;
|
||||
case "sum":
|
||||
result = sumValue;
|
||||
break;
|
||||
case "min":
|
||||
result = minValue;
|
||||
break;
|
||||
case "max":
|
||||
result = maxValue;
|
||||
break;
|
||||
case "median":
|
||||
result = medValue;
|
||||
break;
|
||||
case "q1":
|
||||
result = q1Value;
|
||||
break;
|
||||
case "q3":
|
||||
result = q3Value;
|
||||
break;
|
||||
}
|
||||
|
||||
var precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;
|
||||
|
||||
//if outputType is defined
|
||||
if (oTypeThisCol && result) {
|
||||
result = result.toFixed(precision);
|
||||
|
||||
if (dom.id(labThisCol[i])) {
|
||||
switch (str.lower(oTypeThisCol)) {
|
||||
case "innerhtml":
|
||||
if (isNaN(result) || !isFinite(result) || nbvalues === 0) {
|
||||
dom.id(labThisCol[i]).innerHTML = ".";
|
||||
} else {
|
||||
dom.id(labThisCol[i]).innerHTML = result;
|
||||
}
|
||||
break;
|
||||
case "setvalue":
|
||||
dom.id(labThisCol[i]).value = result;
|
||||
break;
|
||||
case "createtextnode":
|
||||
var oldnode = dom.id(labThisCol[i]).firstChild;
|
||||
var txtnode = dom.text(result);
|
||||
dom.id(labThisCol[i]).replaceChild(txtnode, oldnode);
|
||||
break;
|
||||
} //switch
|
||||
}
|
||||
} else {
|
||||
try {
|
||||
if (isNaN(result) || !isFinite(result) || nbvalues === 0) {
|
||||
dom.id(labThisCol[i]).innerHTML = ".";
|
||||
} else {
|
||||
dom.id(labThisCol[i]).innerHTML = result.toFixed(precision);
|
||||
}
|
||||
} catch (e) {} //catch
|
||||
} //else
|
||||
} //for i
|
||||
|
||||
// row(s) with result are always visible
|
||||
var totRow = totRowIndex && totRowIndex[ucol] ? row[totRowIndex[ucol]] : null;
|
||||
if (totRow) {
|
||||
totRow.style.display = "";
|
||||
}
|
||||
} //for ucol
|
||||
} //if typeof
|
||||
|
||||
if (this.tf.onAfterOperation) {
|
||||
this.tf.onAfterOperation.call(null, this.tf);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return ColOps;
|
||||
})();
|
||||
|
||||
exports.ColOps = ColOps;
|
||||
});
|
||||
1
src/modules/colOps.js.map
Normal file
1
src/modules/colOps.js.map
Normal file
File diff suppressed because one or more lines are too long
|
|
@ -1,90 +1,98 @@
|
|||
define(['../dom', '../types'], function (dom, types) {
|
||||
'use strict';
|
||||
define(["exports", "../dom", "../types"], function (exports, _dom, _types) {
|
||||
"use strict";
|
||||
|
||||
var global = window;
|
||||
var _classProps = function (child, staticProps, instanceProps) {
|
||||
if (staticProps) Object.defineProperties(child, staticProps);
|
||||
if (instanceProps) Object.defineProperties(child.prototype, instanceProps);
|
||||
};
|
||||
|
||||
/**
|
||||
* Loading message/spinner
|
||||
* @param {Object} tf TableFilter instance
|
||||
*/
|
||||
function Loader(tf){
|
||||
var dom = _dom;
|
||||
var types = _types;
|
||||
|
||||
// TableFilter configuration
|
||||
var f = tf.fObj;
|
||||
//id of container element
|
||||
tf.loaderTgtId = f.loader_target_id || null;
|
||||
//div containing loader
|
||||
tf.loaderDiv = null;
|
||||
//defines loader text
|
||||
tf.loaderText = f.loader_text || 'Loading...';
|
||||
//defines loader innerHtml
|
||||
tf.loaderHtml = f.loader_html || null;
|
||||
//defines css class for loader div
|
||||
tf.loaderCssClass = f.loader_css_class || 'loader';
|
||||
//delay for hiding loader
|
||||
tf.loaderCloseDelay = 200;
|
||||
//callback function before loader is displayed
|
||||
tf.onShowLoader = types.isFn(f.on_show_loader) ?
|
||||
f.on_show_loader : null;
|
||||
//callback function after loader is closed
|
||||
tf.onHideLoader = types.isFn(f.on_hide_loader) ?
|
||||
f.on_hide_loader : null;
|
||||
|
||||
this.tf = tf;
|
||||
var global = window;
|
||||
|
||||
var containerDiv = dom.create('div', ['id', tf.prfxLoader+tf.id]);
|
||||
containerDiv.className = tf.loaderCssClass;
|
||||
var Loader = (function () {
|
||||
var Loader = function Loader(tf) {
|
||||
// TableFilter configuration
|
||||
var f = tf.fObj;
|
||||
//id of container element
|
||||
tf.loaderTgtId = f.loader_target_id || null;
|
||||
//div containing loader
|
||||
tf.loaderDiv = null;
|
||||
//defines loader text
|
||||
tf.loaderText = f.loader_text || "Loading...";
|
||||
//defines loader innerHtml
|
||||
tf.loaderHtml = f.loader_html || null;
|
||||
//defines css class for loader div
|
||||
tf.loaderCssClass = f.loader_css_class || "loader";
|
||||
//delay for hiding loader
|
||||
tf.loaderCloseDelay = 200;
|
||||
//callback function before loader is displayed
|
||||
tf.onShowLoader = types.isFn(f.on_show_loader) ? f.on_show_loader : null;
|
||||
//callback function after loader is closed
|
||||
tf.onHideLoader = types.isFn(f.on_hide_loader) ? f.on_hide_loader : null;
|
||||
|
||||
var targetEl = !tf.loaderTgtId ?
|
||||
(tf.gridLayout ? tf.tblCont : tf.tbl.parentNode) :
|
||||
dom.id(tf.loaderTgtId);
|
||||
if(!tf.loaderTgtId){
|
||||
targetEl.insertBefore(containerDiv, tf.tbl);
|
||||
} else {
|
||||
targetEl.appendChild(containerDiv);
|
||||
}
|
||||
tf.loaderDiv = dom.id(tf.prfxLoader+tf.id);
|
||||
if(!tf.loaderHtml){
|
||||
tf.loaderDiv.appendChild(dom.text(tf.loaderText));
|
||||
} else {
|
||||
tf.loaderDiv.innerHTML = tf.loaderHtml;
|
||||
}
|
||||
}
|
||||
this.tf = tf;
|
||||
|
||||
Loader.prototype.show = function(p) {
|
||||
if(!this.tf.loader || !this.tf.loaderDiv ||
|
||||
this.tf.loaderDiv.style.display===p){
|
||||
var containerDiv = dom.create("div", ["id", tf.prfxLoader + tf.id]);
|
||||
containerDiv.className = tf.loaderCssClass;
|
||||
|
||||
var targetEl = !tf.loaderTgtId ? (tf.gridLayout ? tf.tblCont : tf.tbl.parentNode) : dom.id(tf.loaderTgtId);
|
||||
if (!tf.loaderTgtId) {
|
||||
targetEl.insertBefore(containerDiv, tf.tbl);
|
||||
} else {
|
||||
targetEl.appendChild(containerDiv);
|
||||
}
|
||||
tf.loaderDiv = dom.id(tf.prfxLoader + tf.id);
|
||||
if (!tf.loaderHtml) {
|
||||
tf.loaderDiv.appendChild(dom.text(tf.loaderText));
|
||||
} else {
|
||||
tf.loaderDiv.innerHTML = tf.loaderHtml;
|
||||
}
|
||||
};
|
||||
|
||||
_classProps(Loader, null, {
|
||||
show: {
|
||||
writable: true,
|
||||
value: function (p) {
|
||||
if (!this.tf.loader || !this.tf.loaderDiv || this.tf.loaderDiv.style.display === p) {
|
||||
return;
|
||||
}
|
||||
var o = this.tf;
|
||||
}
|
||||
var o = this.tf;
|
||||
|
||||
function displayLoader(){
|
||||
if(!o.loaderDiv){
|
||||
return;
|
||||
function displayLoader() {
|
||||
if (!o.loaderDiv) {
|
||||
return;
|
||||
}
|
||||
if(o.onShowLoader && p!=='none'){
|
||||
o.onShowLoader.call(null, o);
|
||||
if (o.onShowLoader && p !== "none") {
|
||||
o.onShowLoader.call(null, o);
|
||||
}
|
||||
o.loaderDiv.style.display = p;
|
||||
if(o.onHideLoader && p==='none'){
|
||||
o.onHideLoader.call(null, o);
|
||||
if (o.onHideLoader && p === "none") {
|
||||
o.onHideLoader.call(null, o);
|
||||
}
|
||||
}
|
||||
|
||||
var t = p === "none" ? this.tf.loaderCloseDelay : 1;
|
||||
global.setTimeout(displayLoader, t);
|
||||
}
|
||||
|
||||
var t = p==='none' ? this.tf.loaderCloseDelay : 1;
|
||||
global.setTimeout(displayLoader, t);
|
||||
};
|
||||
|
||||
Loader.prototype.remove = function() {
|
||||
if(!this.tf.loaderDiv){
|
||||
},
|
||||
remove: {
|
||||
writable: true,
|
||||
value: function () {
|
||||
if (!this.tf.loaderDiv) {
|
||||
return;
|
||||
}
|
||||
var targetEl = !this.tf.loaderTgtId ? (this.tf.gridLayout ? this.tf.tblCont : this.tf.tbl.parentNode) : dom.id(this.tf.loaderTgtId);
|
||||
targetEl.removeChild(this.tf.loaderDiv);
|
||||
this.tf.loaderDiv = null;
|
||||
}
|
||||
var targetEl = !this.tf.loaderTgtId ?
|
||||
(this.tf.gridLayout ? this.tf.tblCont : this.tf.tbl.parentNode) :
|
||||
dom.id(this.tf.loaderTgtId);
|
||||
targetEl.removeChild(this.tf.loaderDiv);
|
||||
this.tf.loaderDiv = null;
|
||||
};
|
||||
}
|
||||
});
|
||||
|
||||
return Loader;
|
||||
return Loader;
|
||||
})();
|
||||
|
||||
exports.Loader = Loader;
|
||||
});
|
||||
1
src/modules/loader.js.map
Normal file
1
src/modules/loader.js.map
Normal file
File diff suppressed because one or more lines are too long
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Add a link
Reference in a new issue