asciidoctor-chart
v0.3.0
Published
Asciidoctor Chart extension
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:bar_chart: Asciidoctor Chart Extension
An extension for Asciidoctor.js to render charts.
Install
Node.js
Install the dependencies:
$ npm install asciidoctor.js asciidoctor-chart
Create a file named chart.js
with the following content and run it:
const asciidoctor = require('asciidoctor.js')()
const chart = require('asciidoctor-chart')
const input = `
[chart,line]
....
January,February,March
28,48,40
65,59,80
....`
chart.register(asciidoctor.Extensions)
console.log(asciidoctor.convert(input)) // <1>
const registry = asciidoctor.Extensions.create()
chart.register(registry)
console.log(asciidoctor.convert(input, {'extension_registry': registry})) // <2>
<1> Register the extension in the global registry <2> Register the extension in a dedicated registry
IMPORTANT
To effectively render the chart in your HTML page you will need to add the Chartist CSS and JavaScript:
<!DOCTYPE html>
<html>
<head>
<link href="node_modules/chartist/dist/chartist.min.css" rel="stylesheet">
</head>
<body>
<!-- Site content goes here !-->
<script src="node_modules/chartist/dist/chartist.min.js"></script>
</body>
</html>
You will also need to add this JavaScript (after chartist.min.js
) to generate all the charts in your <body>
:
document.body.querySelectorAll('div.ct-chart').forEach((node) => {
const options = {
height: node.dataset['chartHeight'],
width: node.dataset['chartWidth'],
colors: node.dataset['chartColors'].split(',')
}
const dataset = Object.assign({}, node.dataset)
const series = Object.values(Object.keys(dataset)
.filter(key => key.startsWith('chartSeries-'))
.reduce((obj, key) => {
obj[key] = dataset[key]
return obj
}, {})).map(value => value.split(','))
const data = {
labels: node.dataset['chartLabels'].split(','),
series: series
}
Chartist[node.dataset['chartType']](node, data, options)
})
You can also render a chart from a csv
file.
Create a file named sales.csv
with the following content:
January,February,March
28,48,40
65,59,80
And use the following syntax:
chart::sales.csv[bar,800,500]
Browser
Install the dependencies:
$ npm install asciidoctor.js asciidoctor-chart
Create a file named chart.html
with the following content and open it in your browser:
<html>
<head>
<script src="node_modules/asciidoctor.js/dist/browser/asciidoctor.js"></script>
<script src="node_modules/asciidoctor-chart/dist/browser/asciidoctor-chart.js"></script>
<link href="node_modules/chartist/dist/chartist.min.css" rel="stylesheet">
</head>
<body>
<div id="content"></div>
<script>
var input = '[chart,line]\n' +
'....\n' +
'January,February,March\n' +
'28,48,40\n' +
'65,59,80\n' +
'....'
var asciidoctor = Asciidoctor()
var chart = AsciidoctorChart
const registry = asciidoctor.Extensions.create()
chart.register(registry)
var result = asciidoctor.convert(input, {'extension_registry': registry})
document.getElementById('content').innerHTML = result
</script>
<script src="node_modules/chartist/dist/chartist.min.js"></script>
<script>
document.body.querySelectorAll('div.ct-chart').forEach((node) => {
const options = {
height: node.dataset['chartHeight'],
width: node.dataset['chartWidth'],
colors: node.dataset['chartColors'].split(',')
}
const dataset = Object.assign({}, node.dataset)
const series = Object.values(Object.keys(dataset)
.filter(key => key.startsWith('chartSeries-'))
.reduce((obj, key) => {
obj[key] = dataset[key]
return obj
}, {})).map(value => value.split(','))
const data = {
labels: node.dataset['chartLabels'].split(','),
series: series
}
Chartist[node.dataset['chartType']](node, data, options)
})
</script>
</body>
</html>
<1> Register the extension in the global registry <2> Register the extension in a dedicated registry
Usage
You can configure the type (line
or bar
), the height and the width in pixel:
Using positional attributes
// in this order: type, width, height
chart::sales.csv[bar,800,500]
Using named attributes
chart::sales.csv[height=500,width=800,type=line]
By default the chart will be a 600px * 400px line chart.
How ?
This extension is using Chartist.js to render responsives charts.