bluengreen

# a simple/configurable rake task that generates some random fake data for the app (using faker) at various sizes
# NOTE: requires the faker or ffaker gem 
#   sudo gem install faker - http://faker.rubyforge.org
#   OR
#   sudo gem install ffaker - http://github.com/EmmanuelOga/ffaker

require 'faker'

class Fakeout

bluengreen

#!/usr/bin/env ruby

# Add your gems here
#
gemfile_contents = <<-EOF
  source "http://rubygems.org"
  gem "fog"
  gem "yajl-ruby"
EOF

bluengreen

require "time"
require "date"

class Date
  def to_time
    Time.local(year, month, day)
  end
end

class Time

bluengreen

# This is a skeleton for testing models including examples of validations, callbacks,
# scopes, instance & class methods, associations, and more.
# Pick and choose what you want, as all models don't NEED to be tested at this depth.
#
# I'm always eager to hear new tips & suggestions as I'm still new to testing,
# so if you have any, please share!
#
# @kyletcarlson
#
# This skeleton also assumes you're using the following gems: 

bluengreen

require 'rails_helper'

RSpec.describe TodosController, :type => :controller do

  describe "GET #index" do
  #describe "POST #create" do
  #describe "GET #show" do
  #describe "PATCH #update" do (or PUT #update)
  #describe "DELETE #destroy" do
  #describe "GET #new" do

bluengreen

require 'rails_helper'

RSpec.describe TodosController, :type => :controller do

  describe "GET #index" do
  #describe "POST #create" do
  #describe "GET #show" do
  #describe "PATCH #update" do (or PUT #update)
  #describe "DELETE #destroy" do
  #describe "GET #new" do

bluengreen

# Migrate schema and data from Mongoid to MySQL ActiveRecord
class MongoidMysqlMigrator
  
  def randomize_auto_increment_values(source_models, from=5500, to=10500)
    source_models.each do |model|
      value = rand(from-to)+from
      sql = %(ALTER TABLE #{model.name.tableize} AUTO_INCREMENT=#{value})
      puts sql
      ActiveRecord::Base.connection.execute(sql)
    end

bluengreen

//the Mirth file reader has a CSV file (now in the msg object)
//be sure your channel's incoming data type is 'delimited text'

//let's pretend this csv contains customers
var customers = [];
var header = msg.row[0];
for(var i=1;i<msg['row'].length();i++)
{
	var cust = {};
	for (col in msg.row[i].children()) {

bluengreen

//the Mirth file reader has a CSV file (now in the msg object)
//be sure your channel's incoming data type is 'delimited text'

//let's pretend this csv contains customers
var customers = [];
var header = msg.row[0];
for(var i=1;i<msg['row'].length();i++)
{
	var cust = {};
	for (col in msg.row[i].children()) {

bluengreen

Mirth Server Setup

First create ec2 Ubuntu instance

Then install all the things needed for Mirth Connect (following this video: http://www.youtube.com/watch?v=omZyAO2naqs)

# Update Ubuntu
sudo aptitude update

# Safe upgrade of Ubuntu
sudo aptitude safe-upgrade