Documentation for Database Anonymization

We use Database Anonymization to scrub the database and replace real-time Expertiza records with fake data to use it for development purposes and to avoid hamper the integrity while development!

Initial Setup for Anonymization

We use the faker gem to create fake names and replace the actual data with the names generated by this gem. In the Gemfile add

gem 'faker', '1.9.3', group: [:test, :development], require: false

In config/locales, change en-US.yml to en.yml Inside the file, replace en-US: to en: (This is to avoid any translation error thrown by i18n)

Have a database expertiza_development with real-time records of the expertiza database

Anonymization Script

Rake task to run the script

In lib/tasks/scrub_database.rake we have defined a namespace db inside which we have a task scrub

namespace :db do
  namespace :data do
    desc 'Scrubs the database of user information'
    task scrub: :environment do
      require './db/data_migrations/scrub_database.rb' # Require the data migration class
      ScrubDatabase.run! # Run the function which contains the logic
    end
  end
end

Logic of the script

In db/data_migrations/scrub_database.rb we have the main logic to anonymize the script

require 'i18n'
require 'faker'

class ScrubDatabase
  I18n.default_locale = :en # here, we set the default locale to be used
  I18n.reload!
  def self.run! # this is the function called in the rake file
    User.find_each do |user|
        #logic for anonymizing the records
    end
  end
end

Format for anonymizing is as follows

For Students:

user.name = "<fname>_<lname_subS><num>"
user.fullname = "<lname>, <fname>
user.email = "expertiza@mailinator.com"
user.password = "password"

For Others:

user.name = "<role>_<fname>_<lname_subS><num>"
user.fullname = "<fname>, <role>
user.email = "expertiza@mailinator.com"
user.password = "password"

where

fname : First name generated by Faker gem lname : Last name generated by Faker gem lname_subS : Substring of Last name of first 4 characters role : Role of actual user (eg. teaching_assistant, instructor) num : A random number generated between 1 to 9

Running the anonymization script

This script anonymizes the records present in the expertiza_development database

To run this script, you have to switch to sudo user with the command sudo su

cd lib/tasks

rake db:data:scrub --trace

After the task is completed, login to mysql

mysql -u root -p

use expertiza_development;

select name, email from users limit 10;

To check for any duplicate entries, run this SQL command

select name, count(name) from users group by name having count(name) >1;

Note down the names, and add them to the blacklist, since we would not be able to login to these accounts Ensure there are no more than 8 duplicate entries of students and none of other roles.