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feat(ui): Treemap component #1647
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@@ -3,3 +3,4 @@ lib | |
lib-esm | ||
types | ||
!**/.*.js | ||
treemap-squarify.js |
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export * from './treemap'; |
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/* | ||
* treemap-squarify.js - open source implementation of squarified treemaps | ||
* | ||
* Treemap Squared 0.5 - Treemap Charting library | ||
* | ||
* https://github.com/imranghory/treemap-squared/ | ||
* | ||
* Copyright (c) 2012 Imran Ghory (imranghory@gmail.com) | ||
* Licensed under the MIT (http://www.opensource.org/licenses/mit-license.php) license. | ||
* | ||
* | ||
* Implementation of the squarify treemap algorithm described in: | ||
* | ||
* Bruls, Mark; Huizing, Kees; van Wijk, Jarke J. (2000), "Squarified treemaps" | ||
* in de Leeuw, W.; van Liere, R., Data Visualization 2000: | ||
* Proc. Joint Eurographics and IEEE TCVG Symp. on Visualization, Springer-Verlag, pp. 33Ð42. | ||
* | ||
* Paper is available online at: http://www.win.tue.nl/~vanwijk/stm.pdf | ||
* | ||
* The code in this file is completeley decoupled from the drawing code so it should be trivial | ||
* to port it to any other vector drawing library. Given an array of datapoints this library returns | ||
* an array of cartesian coordinates that represent the rectangles that make up the treemap. | ||
* | ||
* The library also supports multidimensional data (nested treemaps) and performs normalization on the data. | ||
* | ||
* See the README file for more details. | ||
*/ | ||
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function Container(xoffset, yoffset, width, height) { | ||
this.xoffset = xoffset; // offset from the the top left hand corner | ||
this.yoffset = yoffset; // ditto | ||
this.height = height; | ||
this.width = width; | ||
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this.shortestEdge = function () { | ||
return Math.min(this.height, this.width); | ||
}; | ||
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// getCoordinates - for a row of boxes which we've placed | ||
// return an array of their cartesian coordinates | ||
this.getCoordinates = function (row) { | ||
var coordinates = []; | ||
var subxoffset = this.xoffset, subyoffset = this.yoffset; //our offset within the container | ||
var areawidth = sumArray(row) / this.height; | ||
var areaheight = sumArray(row) / this.width; | ||
var i; | ||
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if (this.width >= this.height) { | ||
for (i = 0; i < row.length; i++) { | ||
coordinates.push([subxoffset, subyoffset, subxoffset + areawidth, subyoffset + row[i] / areawidth]); | ||
subyoffset = subyoffset + row[i] / areawidth; | ||
} | ||
} else { | ||
for (i = 0; i < row.length; i++) { | ||
coordinates.push([subxoffset, subyoffset, subxoffset + row[i] / areaheight, subyoffset + areaheight]); | ||
subxoffset = subxoffset + row[i] / areaheight; | ||
} | ||
} | ||
return coordinates; | ||
}; | ||
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// cutArea - once we've placed some boxes into an row we then need to identify the remaining area, | ||
// this function takes the area of the boxes we've placed and calculates the location and | ||
// dimensions of the remaining space and returns a container box defined by the remaining area | ||
this.cutArea = function (area) { | ||
var newcontainer; | ||
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if (this.width >= this.height) { | ||
var areawidth = area / this.height; | ||
var newwidth = this.width - areawidth; | ||
newcontainer = new Container(this.xoffset + areawidth, this.yoffset, newwidth, this.height); | ||
} else { | ||
var areaheight = area / this.width; | ||
var newheight = this.height - areaheight; | ||
newcontainer = new Container(this.xoffset, this.yoffset + areaheight, this.width, newheight); | ||
} | ||
return newcontainer; | ||
}; | ||
} | ||
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// normalize - the Bruls algorithm assumes we're passing in areas that nicely fit into our | ||
// container box, this method takes our raw data and normalizes the data values into | ||
// area values so that this assumption is valid. | ||
function normalize(data, area) { | ||
var normalizeddata = []; | ||
var sum = sumArray(data); | ||
var multiplier = area / sum; | ||
var i; | ||
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for (i = 0; i < data.length; i++) { | ||
normalizeddata[i] = data[i] * multiplier; | ||
} | ||
return normalizeddata; | ||
} | ||
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// treemapMultidimensional - takes multidimensional data (aka [[23,11],[11,32]] - nested array) | ||
// and recursively calls itself using treemapSingledimensional | ||
// to create a patchwork of treemaps and merge them | ||
function treemapMultidimensional(data, width, height, xoffset, yoffset) { | ||
xoffset = (typeof xoffset === "undefined") ? 0 : xoffset; | ||
yoffset = (typeof yoffset === "undefined") ? 0 : yoffset; | ||
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var mergeddata = []; | ||
var mergedtreemap; | ||
var results = []; | ||
var i; | ||
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if(isArray(data[0])) { // if we've got more dimensions of depth | ||
for(i=0; i<data.length; i++) { | ||
mergeddata[i] = sumMultidimensionalArray(data[i]); | ||
} | ||
mergedtreemap = treemapSingledimensional(mergeddata, width, height, xoffset, yoffset); | ||
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for(i=0; i<data.length; i++) { | ||
results.push(treemapMultidimensional(data[i], mergedtreemap[i][2] - mergedtreemap[i][0], mergedtreemap[i][3] - mergedtreemap[i][1], mergedtreemap[i][0], mergedtreemap[i][1])); | ||
} | ||
} else { | ||
results = treemapSingledimensional(data,width,height, xoffset, yoffset); | ||
} | ||
return results; | ||
} | ||
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// treemapSingledimensional - simple wrapper around squarify | ||
function treemapSingledimensional(data, width, height, xoffset, yoffset) { | ||
xoffset = (typeof xoffset === "undefined") ? 0 : xoffset; | ||
yoffset = (typeof yoffset === "undefined") ? 0 : yoffset; | ||
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var rawtreemap = squarify(normalize(data, width * height), [], new Container(xoffset, yoffset, width, height), []); | ||
return flattenTreemap(rawtreemap); | ||
} | ||
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// flattenTreemap - squarify implementation returns an array of arrays of coordinates | ||
// because we have a new array everytime we switch to building a new row | ||
// this converts it into an array of coordinates. | ||
function flattenTreemap(rawtreemap) { | ||
var flattreemap = []; | ||
var i, j; | ||
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for (i = 0; i < rawtreemap.length; i++) { | ||
for (j = 0; j < rawtreemap[i].length; j++) { | ||
flattreemap.push(rawtreemap[i][j]); | ||
} | ||
} | ||
return flattreemap; | ||
} | ||
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// squarify - as per the Bruls paper | ||
// plus coordinates stack and containers so we get | ||
// usable data out of it | ||
function squarify(data, currentrow, container, stack) { | ||
var length; | ||
var nextdatapoint; | ||
var newcontainer; | ||
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if (data.length === 0) { | ||
stack.push(container.getCoordinates(currentrow)); | ||
return; | ||
} | ||
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length = container.shortestEdge(); | ||
nextdatapoint = data[0]; | ||
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if (improvesRatio(currentrow, nextdatapoint, length)) { | ||
currentrow.push(nextdatapoint); | ||
squarify(data.slice(1), currentrow, container, stack); | ||
} else { | ||
newcontainer = container.cutArea(sumArray(currentrow), stack); | ||
stack.push(container.getCoordinates(currentrow)); | ||
squarify(data, [], newcontainer, stack); | ||
} | ||
return stack; | ||
} | ||
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// improveRatio - implements the worse calculation and comparision as given in Bruls | ||
// (note the error in the original paper; fixed here) | ||
function improvesRatio(currentrow, nextnode, length) { | ||
var newrow; | ||
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if (currentrow.length === 0) { | ||
return true; | ||
} | ||
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newrow = currentrow.slice(); | ||
newrow.push(nextnode); | ||
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var currentratio = calculateRatio(currentrow, length); | ||
var newratio = calculateRatio(newrow, length); | ||
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// the pseudocode in the Bruls paper has the direction of the comparison | ||
// wrong, this is the correct one. | ||
return currentratio >= newratio; | ||
} | ||
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// calculateRatio - calculates the maximum width to height ratio of the | ||
// boxes in this row | ||
function calculateRatio(row, length) { | ||
var min = Math.min.apply(Math, row); | ||
var max = Math.max.apply(Math, row); | ||
var sum = sumArray(row); | ||
return Math.max(Math.pow(length, 2) * max / Math.pow(sum, 2), Math.pow(sum, 2) / (Math.pow(length, 2) * min)); | ||
} | ||
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// isArray - checks if arr is an array | ||
function isArray(arr) { | ||
return arr && arr.constructor === Array; | ||
} | ||
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// sumArray - sums a single dimensional array | ||
function sumArray(arr) { | ||
var sum = 0; | ||
var i; | ||
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for (i = 0; i < arr.length; i++) { | ||
sum += arr[i]; | ||
} | ||
return sum; | ||
} | ||
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// sumMultidimensionalArray - sums the values in a nested array (aka [[0,1],[[2,3]]]) | ||
function sumMultidimensionalArray(arr) { | ||
var i, total = 0; | ||
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if(isArray(arr[0])) { | ||
for(i=0; i<arr.length; i++) { | ||
total += sumMultidimensionalArray(arr[i]); | ||
} | ||
} else { | ||
total = sumArray(arr); | ||
} | ||
return total; | ||
} | ||
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export default treemapSingledimensional; |
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import React, { useEffect, useRef, useState } from 'react'; | ||
import cx from 'classnames'; | ||
import PropTypes from 'prop-types'; | ||
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import squarify from './treemap-squarify'; | ||
import css from './treemap.module.css' | ||
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const DefaultItem = ({ item, ...restProps }) => ( | ||
<div {...restProps}> | ||
<span className={css.itemLabel}> | ||
{item.data?.label || item.id} | ||
</span> | ||
</div> | ||
); | ||
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DefaultItem.propTypes = { | ||
item: PropTypes.shape({ | ||
id: PropTypes.string, | ||
data: PropTypes.shape({ | ||
label: PropTypes.string, | ||
}), | ||
}).isRequired, | ||
}; | ||
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/** | ||
* Treemap component | ||
* @NOTE Based on https://github.com/pastelsky/bundlephobia/blob/babd0d71b54ad1404c4399e0c08363c493c53502/client/components/Treemap/Treemap.js | ||
*/ | ||
export const Treemap = ({ className, data, Item }) => { | ||
const rootClassName = cx(css.root, className); | ||
const containerRef = useRef(); | ||
const [items, setItems] = useState([]); | ||
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useEffect(() => { | ||
if (!data) { | ||
return; | ||
} | ||
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const width = containerRef?.current?.clientWidth || 640; | ||
const height = containerRef?.current?.clientHeight || 210; | ||
Check notice Code scanning / CodeQL Unused variable, import, function or class
Unused variable height.
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const values = data.map(({ value }) => value); | ||
const itemCoordinates = squarify(values, 100, 100, 0, 0); | ||
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const newItems = data.map((item, index) => { | ||
const coordinates = itemCoordinates[index]; | ||
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// @todo - test relative position/dimension | ||
return { | ||
...item, | ||
style: { | ||
left: `${coordinates[0]}%`, | ||
top: `${coordinates[1]}%`, | ||
width: `${coordinates[2] - coordinates[0]}%`, | ||
height: `${coordinates[3] - coordinates[1]}%`, | ||
}, | ||
}; | ||
}); | ||
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setItems(newItems); | ||
}, [data]); | ||
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return ( | ||
<div className={rootClassName} ref={containerRef}> | ||
{items.map((item) => ( | ||
<Item className={css.item} style={item.style} item={item} /> | ||
))} | ||
</div> | ||
); | ||
}; | ||
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Treemap.defaultProps = { | ||
className: '', | ||
Item: DefaultItem, | ||
}; | ||
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Treemap.propTypes = { | ||
className: PropTypes.string, | ||
data: PropTypes.arrayOf( | ||
PropTypes.shape({ | ||
id: PropTypes.string.isRequired, | ||
value: PropTypes.number.isRequired, | ||
data: PropTypes.object, // eslint-disable-line react/forbid-prop-types | ||
}), | ||
).isRequired, | ||
Item: PropTypes.element, | ||
}; |
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.root { | ||
position: relative; | ||
} | ||
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.root::before { | ||
content: ''; | ||
display: block; | ||
padding: 0 0 33.33%; | ||
} | ||
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.item { | ||
position: absolute; | ||
padding: var(--space-xxxsmall); | ||
display: flex; | ||
align-items: center; | ||
justify-content: center; | ||
} | ||
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.item::before { | ||
left: 1px; | ||
top: 1px; | ||
right: 1px; | ||
bottom: 1px; | ||
content: ''; | ||
position: absolute; | ||
display: block; | ||
border: 1px solid var(--color-outline); | ||
border-radius: var(--radius-small); | ||
} | ||
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.itemLabel { | ||
max-width: 100%; | ||
color: var(--color-text-light); | ||
font-size: var(--size-small); | ||
} |
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Unused variable, import, function or class