As part of this process, I’ve wanted to use what I’ve been building and allow anybody to easily create a UI for their own assets in Rails. I’m pleased to say that I’ve got a good start with the graph_starter gem.
graph_starter gem is a Rails engine, which means that it can be placed within a Neo4j Rails application. The goal is to be able to quickly set up a basic UI for your entities, but to also be able to override it when you want to provide custom logic.
Setting up a
graph_starter application is as simple as the following steps:
graph_starter is easy. First, create a Rails application if you don’t already have one:
rails new application_name
graph_starter gem (it will include the Neo4j.rb gems for you):
# Gemfile gem 'graph_starter'
Then, mount the engine:
# config/routes.rb mount GraphStarter::Engine => '/'
Next, create some asset models:
# app/models/product.rb class Product < GraphStarter::Asset # `title` property is added automatically property :name property :description property :price, type: Integer has_images has_one :in, :vendor, type: :SELLS_PRODUCT end # app/models/vendor.rb class Vendor < GraphStarter::Asset property :brand_name property :code name_property :brand_name has_many :out, :products, origin: :vendor end
These models are simply Neo4j.rb
ActiveNode models so you can refer to the Neo4j.rb documentation to define them. They do have some special methods, however, which let you control how GraphStarter works.
In the above
Product model, for example,
has_images has been called to indicate that products have images which defines a separate
Image model along with the necessary association.
See the graph_starter README for documentation on how to configure aspects of your models.
Once that framework is in place, you can define a way to import data, if desired. In this case, I would suggest making a rake task:
# lib/tasks/store.rake namespace :store do task :import do CSV.open(File.read('vendors.csv')).each do |row| Vendor.create(name: row['brand_name'], code: row['code']) end CSV.open(File.read('products.csv')).each do |row| product = Product.create(name: row['name'], description: row['description'], price: row['price'].to_i) product.vendor = Vendor.find_by(code: row['vendor_code']) end end end
And that’s all!
When everything is in place, you can simply start up your Rails server (by running
rails server) and you get a UI which looks like this example site I made using data from the Natural History Museum in London:
I’ll be working on a new project to create a GraphGist portal based on the
graph_starter gem so I plan to continue improving it!
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About the Author
Brian Underwood , Neo4j Advocate
Brian Underwood wants challenges that give him a chance to make the world kinder, simpler and more interesting. If you can give those challenges to him, you’ll be his new best friend. He loves what he made and the tools he used to make, but his pleasure comes more in the making and the learning of the new. He wants to make useful things that are bold, creative, and beautiful. He wants to make things that have never before existed.