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<title data-ice="title">src/extensions/colOps/colOps.js | tablefilter</title>
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<div class="content" data-ice="content"><h1 data-ice="title">src/extensions/colOps/colOps.js</h1>
<pre class="source-code line-number raw-source-code"><code class="prettyprint linenums" data-ice="content">import {Feature} from &apos;../../feature&apos;;
import {createText, elm} from &apos;../../dom&apos;;
import {isArray, isEmpty, EMPTY_FN} from &apos;../../types&apos;;
import {numSortAsc} from &apos;../../sort&apos;;
import {FORMATTED_NUMBER} from &apos;../../const&apos;;
import formatNumber from &apos;format-number&apos;;
import {defaultsFn, defaultsArr} from &apos;../../settings&apos;;
const EVENTS = [
&apos;after-filtering&apos;,
&apos;after-page-change&apos;,
&apos;after-page-length-change&apos;
];
const SUM = &apos;sum&apos;;
const MEAN = &apos;mean&apos;;
const MIN = &apos;min&apos;;
const MAX = &apos;max&apos;;
const MEDIAN = &apos;median&apos;;
const Q1 = &apos;q1&apos;;
const Q3 = &apos;q3&apos;;
/**
* Column calculations extension
*/
export default class ColOps extends Feature {
/**
* Creates an instance of ColOps
*
* @param {TableFilter} tf TableFilter instance
* @param {Object} opts Configuration object
*/
constructor(tf, opts) {
super(tf, opts.name);
/**
* Callback fired before columns operations start
* @type {Function}
*/
this.onBeforeOperation = defaultsFn(opts.on_before_operation, EMPTY_FN);
/**
* Callback fired after columns operations are completed
* @type {Function}
*/
this.onAfterOperation = defaultsFn(opts.on_after_operation, EMPTY_FN);
/**
* Configuration options
* @type {Object}
*/
this.opts = opts;
/**
* List of DOM element IDs containing column&apos;s calculation result
* @type {Array}
*/
this.labelIds = defaultsArr(opts.id, []);
/**
* List of columns&apos; indexes for calculations
* @type {Array}
*/
this.colIndexes = defaultsArr(opts.col, []);
/**
* List of operations - possible values: &apos;sum&apos;, &apos;mean&apos;, &apos;min&apos;, &apos;max&apos;,
* &apos;median&apos;, &apos;q1&apos;, &apos;q3&apos;
* @type {Array}
*/
this.operations = defaultsArr(opts.operation, []);
/**
* List of write methods used to write the result - possible values:
* &apos;innerHTML&apos;, &apos;setValue&apos;, &apos;createTextNode&apos;
* @type {Array}
*/
this.outputTypes = defaultsArr(opts.write_method, []);
/**
* List of format objects used for formatting the result -
* refer to https://github.com/componitable/format-number to check
* configuration options
* @type {Array}
*/
this.formatResults = defaultsArr(opts.format_result, []);
/**
* List of row indexes displaying the results
* @type {Array}
*/
this.totRowIndexes = defaultsArr(opts.tot_row_index, []);
/**
* List of row indexes excluded from calculations
* @type {Array}
*/
this.excludeRows = defaultsArr(opts.exclude_row, []);
/**
* List of decimal precision for calculation results
* @type {Array}
*/
this.decimalPrecisions = defaultsArr(opts.decimal_precision, 2);
this.enable();
}
/**
* Initializes ColOps instance
*/
init() {
if (this.initialized) {
return;
}
// subscribe to events
this.emitter.on(EVENTS, () =&gt; this.calcAll());
this.calcAll();
/** @inherited */
this.initialized = true;
}
/**
* Calculates columns&apos; values
* Configuration options are stored in &apos;opts&apos; property
* - &apos;id&apos; contains ids of elements showing result (array)
* - &apos;col&apos; contains the columns&apos; indexes (array)
* - &apos;operation&apos; contains operation type (array, values: &apos;sum&apos;, &apos;mean&apos;,
* &apos;min&apos;, &apos;max&apos;, &apos;median&apos;, &apos;q1&apos;, &apos;q3&apos;)
* - &apos;write_method&apos; array defines which method to use for displaying the
* result (innerHTML, setValue, createTextNode) - default: &apos;innerHTML&apos;
* - &apos;tot_row_index&apos; defines in which row results are displayed
* (integers array)
*
* - changes made by Nuovella:
* (1) optimized the routine (now it will only process each column once),
* (2) added calculations for the median, lower and upper quartile.
*/
calcAll() {
let tf = this.tf;
if (!tf.isInitialized()) {
return;
}
this.onBeforeOperation(tf, this);
this.emitter.emit(&apos;before-column-operation&apos;, tf, this);
let { colIndexes, operations: colOperations, outputTypes,
totRowIndexes, excludeRows, formatResults,
decimalPrecisions } = this;
//nuovella: determine unique list of columns to operate on
let uIndexes = [];
colIndexes.forEach((val) =&gt; {
if (uIndexes.indexOf(val) === -1) {
uIndexes.push(val);
}
});
let nbCols = uIndexes.length,
rows = tf.dom().rows,
colValues = [];
for (let u = 0; u &lt; nbCols; u++) {
//this retrieves col values
//use uIndexes because we only want to pass through this loop
//once for each column get the values in this unique column
colValues.push(
tf.getVisibleColumnData(uIndexes[u], false, excludeRows)
);
let curValues = colValues[u];
//next: calculate all operations for this column
let result = 0,
operations = [],
precisions = [],
labels = [],
writeType,
formatResult = [],
idx = 0;
for (let k = 0; k &lt; colIndexes.length; k++) {
if (colIndexes[k] !== uIndexes[u]) {
continue;
}
operations[idx] = (colOperations[k] || &apos;sum&apos;).toLowerCase();
precisions[idx] = decimalPrecisions[k];
labels[idx] = this.labelIds[k];
writeType = isArray(outputTypes) ? outputTypes[k] : null;
formatResult[idx] =
this.configureFormat(uIndexes[u], formatResults[k]);
idx++;
}
for (let i = 0; i &lt; idx; i++) {
// emit values before column calculation
this.emitter.emit(
&apos;before-column-calc&apos;,
tf,
this,
uIndexes[u],
curValues,
operations[i],
precisions[i]
);
result = Number(this.calc(curValues, operations[i], null));
// emit column calculation result
this.emitter.emit(
&apos;column-calc&apos;,
tf,
this,
uIndexes[u],
result,
operations[i],
precisions[i]
);
// write result in expected DOM element
this.writeResult(
result,
labels[i],
writeType,
precisions[i],
formatResult[i]
);
}//for i
// row(s) with result are always visible
let totRow = totRowIndexes &amp;&amp; totRowIndexes[u] ?
rows[totRowIndexes[u]] : null;
if (totRow) {
totRow.style.display = &apos;&apos;;
}
}//for u
this.onAfterOperation(tf, this);
this.emitter.emit(&apos;after-column-operation&apos;, tf, this);
}
/**
* Make desired calculation on specified column.
* @param {Number} colIndex Column index
* @param {String} [operation=SUM] Operation type
* @param {Number} precision Decimal precision
* @returns {Number}
*/
columnCalc(colIndex, operation = SUM, precision) {
let excludeRows = this.excludeRows || [];
let colValues = tf.getVisibleColumnData(colIndex, false, excludeRows);
return Number(this.calc(colValues, operation, precision));
}
/**
* Make calculation on passed values.
* @param {Array} values List of values
* @param {String} [operation=SUM] Optional operation type
* @param {Number} precision Optional result precision
* @returns {Number}
* @private
*/
calc(colValues, operation = SUM, precision) {
let result = 0;
if (operation === Q1 || operation === Q3 || operation === MEDIAN) {
colValues = this.sortColumnValues(colValues, numSortAsc);
}
switch (operation) {
case MEAN:
result = this.calcMean(colValues);
break;
case SUM:
result = this.calcSum(colValues);
break;
case MIN:
result = this.calcMin(colValues);
break;
case MAX:
result = this.calcMax(colValues);
break;
case MEDIAN:
result = this.calcMedian(colValues);
break;
case Q1:
result = this.calcQ1(colValues);
break;
case Q3:
result = this.calcQ3(colValues);
break;
}
return isEmpty(precision) ? result : result.toFixed(precision);
}
/**
* Calculate the sum of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcSum(values = []) {
if (isEmpty(values)) {
return 0;
}
let result = values.reduce((x, y) =&gt; Number(x) + Number(y));
return result;
}
/**
* Calculate the mean of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcMean(values = []) {
let result = this.calcSum(values) / values.length;
return Number(result);
}
/**
* Calculate the max value of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcMax(values = []) {
return Math.max.apply(null, values);
}
/**
* Calculate the min value of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcMin(values = []) {
return Math.min.apply(null, values);
}
/**
* Calculate the median of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcMedian(values = []) {
let nbValues = values.length;
let aux = 0;
if (nbValues % 2 === 1) {
aux = Math.floor(nbValues / 2);
return Number(values[aux]);
}
return (Number(values[nbValues / 2]) +
Number(values[((nbValues / 2) - 1)])) / 2;
}
/**
* Calculate the lower quartile of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcQ1(values = []) {
let nbValues = values.length;
let posa = 0.0;
posa = Math.floor(nbValues / 4);
if (4 * posa === nbValues) {
return (Number(values[posa - 1]) +
Number(values[posa])) / 2;
}
return Number(values[posa]);
}
/**
* Calculate the upper quartile of passed values.
* @param {Array} [values=[]] List of values
* @returns {Number}
*/
calcQ3(values = []) {
let nbValues = values.length;
let posa = 0.0;
let posb = 0.0;
posa = Math.floor(nbValues / 4);
if (4 * posa === nbValues) {
posb = 3 * posa;
return (Number(values[posb]) +
Number(values[posb - 1])) / 2;
}
return Number(values[nbValues - posa - 1]);
}
/**
* Sort passed values with supplied sorter function.
* @param {Array} [values=[]] List of values to be sorted
* @param {Function} sorter Sorter function
* @returns {Array}
*/
sortColumnValues(values = [], sorter) {
return values.sort(sorter);
}
/**
* Write calculation result in passed DOM element with supplied write method
* and decimal precision.
* @param {Number} [result=0] Calculation result
* @param {DOMElement} label DOM element
* @param {String} [writeType=&apos;innerhtml&apos;] Write method
* @param {Number} [precision=2] Applied decimal precision
* @private
*/
writeResult(result = 0, label, writeType = &apos;innerhtml&apos;,
precision = 2, format = {}) {
let labelElm = elm(label);
if (!labelElm) {
return;
}
result = result.toFixed(precision);
if (isNaN(result) || !isFinite(result)) {
result = &apos;&apos;;
} else {
result = formatNumber(format)(result);
}
switch (writeType.toLowerCase()) {
case &apos;innerhtml&apos;:
labelElm.innerHTML = result;
break;
case &apos;setvalue&apos;:
labelElm.value = result;
break;
case &apos;createtextnode&apos;:
let oldNode = labelElm.firstChild;
let txtNode = createText(result);
labelElm.replaceChild(txtNode, oldNode);
break;
}
}
/**
* Configure the format options used to format the operation result based
* on column type.
* @param {Number} colIndex Column index
* @param {Object} [format={}] Format object
* @returns {Object}
* @private
*/
configureFormat(colIndex, format = {}) {
let tf = this.tf;
if (tf.hasType(colIndex, [FORMATTED_NUMBER])) {
let colType = tf.colTypes[colIndex];
if (colType.decimal &amp;&amp; !format.decimal) {
format.decimal = colType.decimal;
}
if (colType.thousands &amp;&amp; !format.integerSeparator) {
format.integerSeparator = colType.thousands;
}
} else {
format.decimal = format.decimal || &apos;&apos;;
format.integerSeparator = format.integerSeparator || &apos;&apos;;
}
return format;
}
/** Remove extension */
destroy() {
if (!this.initialized) {
return;
}
// unsubscribe to events
this.emitter.off(EVENTS, () =&gt; this.calcAll());
this.initialized = false;
}
}
</code></pre>
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