Giter Club home page Giter Club logo

completeness-fu's Introduction

Welcome to Completeness-Fu

In short, completeness-fu for ActiveModel allows you cleanly define the way a model instance is scored for completeness, similar to LinkedIn user profiles.

When should I use it?

When you want your objects/models/instances to be of a certain standard, if it be data presence, format or what values are allowed and not allowed, before an object can be saved or updated then you use validations. But when you want to allow more information to be entered, thus relaxing some of the validation rules and prompt the user to enrich the data, then completeness-fu is your cup of tea.

Take an events web site for example, you may want to import information from various sources which might have varied data quality. If your validations are too strict then the information won't import, but if you relax your validations too much then you risk having quantity but not quality. What you can do is relax the validations and add some quality checks which calculate a score which is then used to determine if the event information is shown on the public site or is listed in the admin panel prompting staff to enrich the data before it is made public.

What does it work with?

Completeness-Fu used to be for ActiveRecord only, but this has changed with the latest version with only ActiveModel needed as a gem dependency (and a little ActiveSupport). This means that the latest version works with the following ORMs :

  • ActiveRecord

  • Mongoid

  • Cassandra Object

The define_completeness_scoring method is mixed into the above mentioned ORMs by default, but if you want to use Completeness-Fu in an ActiveModel model which isn't one of the above ORMs, make sure you include ActiveModel::Naming. If you want to cache the completeness score make sure you also include ActiveModel::Validations and ActiveModel::Validations::Callbacks.

How do I use it?

If you want your model to only be regarded as complete if it has a title, description, and picture, you can do the following:

class Example < ActiveRecord::Base
  define_completeness_scoring do
    check :title,       lambda { |per| per.title.present? },        :high   # => defaults to 60
    check :description, lambda { |per| per.description.present? },  :medium # => defaults to 40
    check :main_image,  lambda { |per| per.main_image? },           :low    # => defaults to 20
  end
end

Now, you can access several methods to find out how far along a model is : passed_checks, failed_checks, completeness_score, percent_complete.

@example = Example.new

@example.passed_checks.size # => 0
@example.failed_checks.size # => 3

@example.completeness_score # => 0
@example.percent_complete   # => 0

@example.title = "An Awesome Example"
@example.passed_checks.size # => 1
@example.failed_checks.size # => 2

@example.completeness_score # => 60
@example.percent_complete   # => 50

Options

You can add the following to an initializer to set some defaults:

CompletenessFu.common_weights = { :low => 30, :medium => 50, :high => 70 }

CompletenessFu.default_weighting = :medium

weights and default_weighting can be changed per model, and you can use symbols for the checks instead of lambdas, thus allowing you to place check logic as methods in your class (public or private).

define_completeness_scoring do
  weights :low => 30, :super_high => 60
  default_weighting :medium

  check :title,       lambda { |per| per.title.present? }, :super_high
  check :description, :description_present?
  check :main_image,  :main_image_or_pretty_picture?, :low
end

And if you want to cache the score to a field so you can use it in database searches you just have to add the following:

define_completeness_scoring do
  cache_score :absolute # the default is :relative

  check :title,       lambda { |per| per.title.present? }, :super_high
  check :description, :description_present?
end

Requirements

If you are not using one of the above ORMs, make sure ActiveModel::Validations and ActiveModel::Validations::Callbacks are included.

Passed checks, Failed checks and i18n

Both the passed_checks and failed_checks methods return an array of hashes with extended information about the check. The check hash includes a translated title, description and extra information which is based on the name of the check. The translation structure is as such:

en:
  completeness_scoring:
    models:
      my_model_name:
        name_of_check:
          title: 'Title'
          description: 'The Check Description'
          extra: 'Extra Info'

Up and coming features

  • enhance caching so filter type can be changed and field to save score to can be customized
  • ability to 'share' common lambdas
  • better docs
  • increase test coverage (error edge cases, ORM inclusion)

Change Log

4 Sep 10

  • added bundler for development and testing
  • make the plugin ORM agnostic, only ActiveModel is required

15 Oct 09

  • bug fix for failed checks when check is a symbol to a method
  • bug fix for grading (percent complete needed to be rounded)
  • change of CompletenessFu.default_weightings to CompletenessFu.default_weighting
  • change of CompletenessFu.default_grading to CompletenessFu.default_gradings

29 Sep 09

  • added a 'grading' method which returns either :poor, :low, :medium or :high based on its percentage complete
  • added ability to customize the default translations namespace using CompletenessFu.default_i18n_namespace

28 Sep 09

  • move the scoring check builder into its own class so that it works within a clean room

24 Sep 09

  • options to save the score to a field (caching) - good for searching on
  • define methods on the class to use in the checks

Contributors

  • Peter (pero-ict)
  • Andrew Brown (omenking)
  • Paul Campbell (paulca)

completeness-fu's People

Stargazers

 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.