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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>The source code</title>
<link href="../resources/prettify/prettify.css" type="text/css" rel="stylesheet" />
<script type="text/javascript" src="../resources/prettify/prettify.js"></script>
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<body onload="prettyPrint();">
<pre class="prettyprint lang-js">/*!
* Ext JS Library 3.4.0
* Copyright(c) 2006-2011 Sencha Inc.
* licensing@sencha.com
* http://www.sencha.com/license
*/
<div id="cls-Ext.grid.PivotAxis"></div>/**
* @class Ext.grid.PivotAxis
* @extends Ext.Component
* <p>PivotAxis is a class that supports a {@link Ext.grid.PivotGrid}. Each PivotGrid contains two PivotAxis instances - the left
* axis and the top axis. Each PivotAxis defines an ordered set of dimensions, each of which should correspond to a field in a
* Store's Record (see {@link Ext.grid.PivotGrid} documentation for further explanation).</p>
* <p>Developers should have little interaction with the PivotAxis instances directly as most of their management is performed by
* the PivotGrid. An exception is the dynamic reconfiguration of axes at run time - to achieve this we use PivotAxis's
* {@link #setDimensions} function and refresh the grid:</p>
<pre><code>
var pivotGrid = new Ext.grid.PivotGrid({
//some PivotGrid config here
});
//change the left axis dimensions
pivotGrid.leftAxis.setDimensions([
{
dataIndex: 'person',
direction: 'DESC',
width : 100
},
{
dataIndex: 'product',
direction: 'ASC',
width : 80
}
]);
pivotGrid.view.refresh(true);
</code></pre>
* This clears the previous dimensions on the axis and redraws the grid with the new dimensions.
*/
Ext.grid.PivotAxis = Ext.extend(Ext.Component, {
<div id="cfg-Ext.grid.PivotAxis-orientation"></div>/**
* @cfg {String} orientation One of 'vertical' or 'horizontal'. Defaults to horizontal
*/
orientation: 'horizontal',
<div id="cfg-Ext.grid.PivotAxis-defaultHeaderWidth"></div>/**
* @cfg {Number} defaultHeaderWidth The width to render each row header that does not have a width specified via
{@link #getRowGroupHeaders}. Defaults to 80.
*/
defaultHeaderWidth: 80,
/**
* @private
* @cfg {Number} paddingWidth The amount of padding used by each cell.
* TODO: From 4.x onwards this can be removed as it won't be needed. For now it is used to account for the differences between
* the content box and border box measurement models
*/
paddingWidth: 7,
<div id="method-Ext.grid.PivotAxis-setDimensions"></div>/**
* Updates the dimensions used by this axis
* @param {Array} dimensions The new dimensions
*/
setDimensions: function(dimensions) {
this.dimensions = dimensions;
},
/**
* @private
* Builds the html table that contains the dimensions for this axis. This branches internally between vertical
* and horizontal orientations because the table structure is slightly different in each case
*/
onRender: function(ct, position) {
var rows = this.orientation == 'horizontal'
? this.renderHorizontalRows()
: this.renderVerticalRows();
this.el = Ext.DomHelper.overwrite(ct.dom, {tag: 'table', cn: rows}, true);
},
/**
* @private
* Specialised renderer for horizontal oriented axes
* @return {Object} The HTML Domspec for a horizontal oriented axis
*/
renderHorizontalRows: function() {
var headers = this.buildHeaders(),
rowCount = headers.length,
rows = [],
cells, cols, colCount, i, j;
for (i = 0; i < rowCount; i++) {
cells = [];
cols = headers[i].items;
colCount = cols.length;
for (j = 0; j < colCount; j++) {
cells.push({
tag: 'td',
html: cols[j].header,
colspan: cols[j].span
});
}
rows[i] = {
tag: 'tr',
cn: cells
};
}
return rows;
},
/**
* @private
* Specialised renderer for vertical oriented axes
* @return {Object} The HTML Domspec for a vertical oriented axis
*/
renderVerticalRows: function() {
var headers = this.buildHeaders(),
colCount = headers.length,
rowCells = [],
rows = [],
rowCount, col, row, colWidth, i, j;
for (i = 0; i < colCount; i++) {
col = headers[i];
colWidth = col.width || 80;
rowCount = col.items.length;
for (j = 0; j < rowCount; j++) {
row = col.items[j];
rowCells[row.start] = rowCells[row.start] || [];
rowCells[row.start].push({
tag : 'td',
html : row.header,
rowspan: row.span,
width : Ext.isBorderBox ? colWidth : colWidth - this.paddingWidth
});
}
}
rowCount = rowCells.length;
for (i = 0; i < rowCount; i++) {
rows[i] = {
tag: 'tr',
cn : rowCells[i]
};
}
return rows;
},
/**
* @private
* Returns the set of all unique tuples based on the bound store and dimension definitions.
* Internally we construct a new, temporary store to make use of the multi-sort capabilities of Store. In
* 4.x this functionality should have been moved to MixedCollection so this step should not be needed.
* @return {Array} All unique tuples
*/
getTuples: function() {
var newStore = new Ext.data.Store({});
newStore.data = this.store.data.clone();
newStore.fields = this.store.fields;
var sorters = [],
dimensions = this.dimensions,
length = dimensions.length,
i;
for (i = 0; i < length; i++) {
sorters.push({
field : dimensions[i].dataIndex,
direction: dimensions[i].direction || 'ASC'
});
}
newStore.sort(sorters);
var records = newStore.data.items,
hashes = [],
tuples = [],
recData, hash, info, data, key;
length = records.length;
for (i = 0; i < length; i++) {
info = this.getRecordInfo(records[i]);
data = info.data;
hash = "";
for (key in data) {
hash += data[key] + '---';
}
if (hashes.indexOf(hash) == -1) {
hashes.push(hash);
tuples.push(info);
}
}
newStore.destroy();
return tuples;
},
/**
* @private
*/
getRecordInfo: function(record) {
var dimensions = this.dimensions,
length = dimensions.length,
data = {},
dimension, dataIndex, i;
//get an object containing just the data we are interested in based on the configured dimensions
for (i = 0; i < length; i++) {
dimension = dimensions[i];
dataIndex = dimension.dataIndex;
data[dataIndex] = record.get(dataIndex);
}
//creates a specialised matcher function for a given tuple. The returned function will return
//true if the record passed to it matches the dataIndex values of each dimension in this axis
var createMatcherFunction = function(data) {
return function(record) {
for (var dataIndex in data) {
if (record.get(dataIndex) != data[dataIndex]) {
return false;
}
}
return true;
};
};
return {
data: data,
matcher: createMatcherFunction(data)
};
},
/**
* @private
* Uses the calculated set of tuples to build an array of headers that can be rendered into a table using rowspan or
* colspan. Basically this takes the set of tuples and spans any cells that run into one another, so if we had dimensions
* of Person and Product and several tuples containing different Products for the same Person, those Products would be
* spanned.
* @return {Array} The headers
*/
buildHeaders: function() {
var tuples = this.getTuples(),
rowCount = tuples.length,
dimensions = this.dimensions,
dimension,
colCount = dimensions.length,
headers = [],
tuple, rows, currentHeader, previousHeader, span, start, isLast, changed, i, j;
for (i = 0; i < colCount; i++) {
dimension = dimensions[i];
rows = [];
span = 0;
start = 0;
for (j = 0; j < rowCount; j++) {
tuple = tuples[j];
isLast = j == (rowCount - 1);
currentHeader = tuple.data[dimension.dataIndex];
/*
* 'changed' indicates that we need to create a new cell. This should be true whenever the cell
* above (previousHeader) is different from this cell, or when the cell on the previous dimension
* changed (e.g. if the current dimension is Product and the previous was Person, we need to start
* a new cell if Product is the same but Person changed, so we check the previous dimension and tuple)
*/
changed = previousHeader != undefined && previousHeader != currentHeader;
if (i > 0 && j > 0) {
changed = changed || tuple.data[dimensions[i-1].dataIndex] != tuples[j-1].data[dimensions[i-1].dataIndex];
}
if (changed) {
rows.push({
header: previousHeader,
span : span,
start : start
});
start += span;
span = 0;
}
if (isLast) {
rows.push({
header: currentHeader,
span : span + 1,
start : start
});
start += span;
span = 0;
}
previousHeader = currentHeader;
span++;
}
headers.push({
items: rows,
width: dimension.width || this.defaultHeaderWidth
});
previousHeader = undefined;
}
return headers;
}
});
</pre>
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