text-autolinker
v0.1.0
Published
An tool for adding HTML links and tags to plain text
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text-autolinker
Converts text into HTML, by automatically linking the URLs and twitter elements such as username and hashtags.
- Twitter
@usersname
and#hashtags
into<a>
links - Twitter photo and video links into
<a>
- URLs into
<a>
- Email addresses into
<a href="mailto:">
- Natural language dates:
today at 4:15pm
into<time>
- Custom words/term
<a>
linking
Install
npm install text-autolinker
Run
- Move into the project directory
$ cd text-autolinker
- Run
$ npm install
- Run
$ node bin/text-autolinker.js
- Connect to the server using
http://localhost:3007
Use
var autolinker = require('text-autolinker');
var options = {
text: 'Meeting @glennjones today at 4:10pm',
publishedDate: '2014-08-08'
};
autolinker.parse(options, function(err, result){
// do something with data
});
Available options
className
autoLink
- the class for any link added, the default isauto-link
url
- the class added any web address links, the default isu-url
email
- the class added any web address links, the default isu-email
user
- the class added for twitter username links, the default ish-x-username
tag
- the class added for tag links, the default isp-category
photo
- the class added for twitter photo links, the default isu-photo
video
- the class added for twitter video links, the default isu-video
date
- the class for any time tag added, the default isauto-date-discovery dt-start
escapeHtml
- switch to escape the text, default istrue
expandUrls
- switch to expanded any shortened urls, default istrue
urls
- JSON object of terms to link as urls
Twitter usersname and hashtags parsing
The module will parse Twitter @usersname
and #hashtags
from the text. It wraps these items in <a>
tags with classes. The text "@glennjones likes #javascript" is parsed into:
<a class=\"auto-link h-x-username\" href=\"https://twitter.com/glennjones\">@glennjones</a> likes <a class=\"auto-link p-category\" href=\"https://twitter.com/search?q=#javascript&src=hash\">#javascript</a>
The parser also provides metadata for usersname and hashtags:
{
"html": "<a class=\"auto-link h-x-username\" href=\"https://twitter.com/glennjones\">@glennjones</a> likes <a class=\"auto-link p-category\" href=\"https://twitter.com/search?q=#javascript&src=hash\">#javascript</a>",
"account": [{
"match": "@glennjones",
"username": "glennjones",
"domain": "twitter.com"
}],
"category": ["javascript"]
}
Twitter photo and video link parsing
The module will parse Twitter photo and video links from the text. It wraps these items in <a>
tags with classes. Where possible the links are expanded. The text "I like pic.twitter.com/FzYI36MKFN and vine.co/v/b55LOA1dgJU" is parsed into:
I like <a class=\"auto-link u-photo\" href=\"https://twitter.com/adactio/status/501407682558177282/photo/1\">https://twitter.com/adactio/status/501407682558177282/photo/1</a> and <a class=\"auto-link u-video\" href=\"https://vine.co/v/b55LOA1dgJU\">vine.co/v/b55LOA1dgJU</a>
The parser also provides metadata for media types:
{
"html": "I like <a class=\"auto-link u-photo\" href=\"https://twitter.com/adactio/status/501407682558177282/photo/1\">https://twitter.com/adactio/status/501407682558177282/photo/1</a> and <a class=\"auto-link u-video\" href=\"https://vine.co/v/b55LOA1dgJU\">vine.co/v/b55LOA1dgJU</a>",
"media": [{
"match": "pic.twitter.com/FzYI36MKFN",
"type": "image",
"url": "https://pic.twitter.com/FzYI36MKFN",
"expanded": "https://twitter.com/adactio/status/501407682558177282/photo/1"
},{
"match": "vine.co/v/b55LOA1dgJU",
"type": "video",
"url": "https://vine.co/v/b55LOA1dgJU"
}]
}
URL parsing
The module will parse any word that looks like a URL. It wraps these items in <a>
tags with classes. Where possible the links are expanded. The text "I like http://glennjones.net" is parsed into:
I like <a class=\"auto-link u-url\" href=\"http://glennjones.net\">http://glennjones.net</a>
The parser also provides metadata for URLs:
{
"html": "I like <a class=\"auto-link u-url\" href=\"http://glennjones.net\">http://glennjones.net</a>",
"url": [{
"match": "http://glennjones.net",
"expanded": "http://glennjones.net"
}]
}
Email parsing
The module will parse any word that looks like a email address. It wraps these items in <a href="mailto:">
tags with classes. The text "Contact me at [email protected]" is parsed into:
Contact me at <a class=\"auto-link u-email\" href=\"mailto:[email protected]\">[email protected]</a>
The parser also provides metadata for URLs:
{
"html": "Contact me at <a class=\"auto-link u-email\" href=\"mailto:[email protected]\">[email protected]</a>",
"email": [{
"address": "[email protected]",
"local": "joe.bloggs",
"domain": "eaxmpla.com"
}]
}
Time parsing
The module will try and parse any time from natural language. Some examples are:
- 15 May 2014
- 15th May 2014
- 14 Jun 2014
- Aug 17 2014
- 9 May 2014 at 16:10
- 9 May 2014 at 4:10pm
- 4:10pm
- this Monday
- yesterday, today, tonight and tomorrow
For this function to work well you need to provide a publishedDate
. This should be in the ISO format and where possible have the correct timezone information i.e 2014-05-15T04:10:00-04:00
. The parser will add date and time using the HTML5 <time>
tag:
<time class=\"auto-date-discovery\" datetime=\"2014-08-08T16:10:00\">today at 4:10pm</time>
The parser also provides metadata for dates:
{
"html": "<time class=\"auto-date-discovery dt-start\" datetime=\"2014-08-08T16:10:00\">today at 4:10pm</time>",
"time": [{
"start": {
"year": 2014,
"month": 7,
"day": 8,
"hour": 16,
"minute": 10,
"second": 0,
"meridiem": "pm"
},
"startDate": "2014-08-08T15:10:00.000Z",
"referenceDate": "2014-08-08T23:00:00.000Z",
"text": "today at 4:10pm"
}]
}
Custom words/term
You can add words/term to the options.urls
array and have them linked within the HTML output automatically :
options.urls": [{
"match": "transmat.io",
"expanded": "https://transmat.io"
}]
Errors
The error format can have any combination of 4 properties; code, error, message and validation. The fourth property validation, is added if a input value is in the incorrect format.
{
"statusCode": 400,
"error": "Bad Request",
"message": "the value of b must be a number",
"validation": {
"source": "path",
"keys": [
"b"
]
}
}
Mocha integration test
The project has a number integration and unit tests. To run the test, cd
to project directory type the following command
$ mocha --reporter list