URL unfurling is one of the names given to that funky thing that happens when you paste a web address into a post in Facebook (or other social network) and automatically get a preview of it – an image, the title and maybe some extract text.

This was a much requested technology that was sadly missing from Known for a long time, but for no longer!

In the latest builds you will automatically get URL unfurling occurring in status posts and likes/bookmarks. What’s more, you’ll get a URL preview when you’re editing your post.

Behind the scenes this tool makes use of a number of technologies, notably:

The Unfurling endpoint

This is an endpoint which is called by a client side javascript library.

When passed a URL, this endpoint will attempt to fetch and parse out header tags – title, open graph, facebook and twitter tags. It’ll also attempt to extract certain whitelisted OEmbed endpoints (currently only JSON endpoints are supported).

It will then render out in a pretty way – using oembed as preference, but if that’s not present (or not whitelisted) it’ll use Open Graph, and finally page title and description meta tags if nothing else is found.

Image proxy

If there is an image present in the open graph headers, this will be retrieved by a local caching image proxy. This proxy fetches and saves the image locally so that the remote site doesn’t get hit every time you refresh your page (this also helps protect your privacy).

Enjoy!

Further to my last post, I’d like to introduce you to a working implementation of the stats gathering mechanism using Etsy StatsD and NodeJS.

StatsD is a Node.JS stats server created by the people at etsy to provide a simple way of logging useful statistics from software. These statistics are an invaluable way of monitoring the performance of your application, monitoring the performance of software changes and diagnosing faults.

This plugin gives you an overview of what is happening in your Known install by logging important system level things – events, errors, exceptions etc. This lets you get a very clear idea of how your Known network is performing, and quickly see the effect that changes have on your users.

Installation

  • Install Node.JS, either from github or the package manager for your OS
  • Install StatsD
  • Not required, but highly recommended, install a Graphite server for graph visualisation
  • Place this plugin in IdnoPlugins/StatsD
  • Add the following to your “`config.ini“`
    statistics_collector = IdnoPlugins\StatsD\StatsDStatisticsCollector;
    statsd_enabled = true;

Optionally, you can specify one or more of the following extra options, (although the defaults are usually ok):

statsd_host = localhost
statsd_port = 8125
statsd_bucket = some_name
statsd_samplerate = 1 

statsd_samplerate is handy on really busy systems (see Statsd’s notes on the subject), but in a nutshell, setting this to something like 0.1 (capture one in every 10 count or timer events) is handy if you find StatsD being overloaded.

If everything is working, you should now be happily graphing some useful stats.

» Visit the project on Github...

Sometimes it is desirable to execute actions in the background and periodic intervals. Building on from last week’s post, I wanted to spotlight a new feature, which uses the asynchronous event queue, to allow you to do this – the periodic execution (cron) service.

After completing the configuration step for enabling the Asynchronous Event Queue, you can then run the Known console periodic execution service:

./known.php service-cron

Once running, this service will periodically trigger an event to which code can listen to. Available events are cron/minute, cron/hourly and cron/daily.