Yup Dot Com: Tag plugin

Ruby on Rails date_finder plugin

Daniel Butler — Wed, 20 Sep 2006 09:07:00 -0400

Jonathan Viney of New Zealand has announced his date_finder plugin for Ruby on Rails. The plugin allows the following types of actions:

To find the next five Mondays and Fridays:

DateFinderBase.weekly.day(:monday).day(:friday).find(:max => 5)

To find the 10th of the month for the next five months:

DateFinderBase.monthly.day_number(10).find(:max => 5)

To find the last Thursday in September for the next 3 years

DateFinderBase.yearly.month (:september).day(:thursday).day_occurrence(:last).find(:max => 3)

To find the next 5 Wednesdays on a fortnightly basis (skips every second week):

DateFinderBase.weekly(2).day(:wednesday).find(:max => 5)

To install, execute script/plugin install http://svn.viney.net.nz/things/rails/plugins/date_finder.

Thanks, Jonathan.

Date Finder @ Ruby Plugins Directory

Rails History Plugin

Daniel Butler — Thu, 01 Jun 2006 16:48:00 -0400

Belgian Damien Merenne has announced a plugin for Ruby on Rails that allows you to programatically keep track of a user’s browsing history in your controllers.

Once enabled, you can use the following methods in your actions:

last_location: returns the last visited location, can be used with one numeric argument precising how many locations to go back in the history (1 by default),
redirect_back: redirect the user to the last location in history, it takes the same arguments as last_location,
store_location: force storing of the current location in the history.

And it’s simple enough to use. Just add a bit of code like this to your controllers:

class ApplicationController < ActionController::Base
  history :default => "http://default.url.com/", 
          :max => 10
end

Read about the Rails History Plugin

Simple, Automatic Text Classification in Ruby on Rails

Daniel Butler — Thu, 18 May 2006 19:27:00 -0400

Thomas Bayes, 1702-1761

Surendra Singhi of Calcutta, India, has released an extremely useful text classification plugin for Ruby on Rails. Using a Bayesian classifier you can flag comments, email, articles—whatever chunks of text you’d like to keep a handle on so that when you encounter more like it, you can do something automatically with it. Pick some categories, such as ‘spam’ or ‘not spam’, ‘good’ or ‘evil’, or even ‘ironic’ and ‘irony-free’, classify some existing text or data, and then use the method to predict the classification of an unknown text.