📊 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.

julrichkieffer / asciidoctor-chart Goto Github PK

asciidoctor-chart's Introduction

📊 Asciidoctor Chart Extension

Install

Node.js

Browser

Usage

How ?

asciidoctor-chart's People

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