Surikat

A backend web framework centred on GraphQL.

Many frontend apps require little more than a simple backend that does a few CRUD operations and handles user authentication, authorisation and access (AAA).

For even the simplest backends, frontend developers must invest time and knowledge into some unfamiliar framework, and then code the app -- often in a language that they're not very comfortable in.

Surikat solves much of that.

With Surikat, you can have a backend app up and running in under a minute, that does CRUD and AAA, with no code at all.

Sure, Rails has scaffolding -- but not for AAA, and not for GraphQL. Sure, there are gems for that -- but they have significant learning curves.

Sure, Rails can make API-only apps -- but only REST API apps. GraphQL, a standard created by Facebook and made open-source since then, is far more efficient than REST. There's only one endpoint, and you get exactly the data that you ask for -- nothing else.

Sure, Rails can also be taught GraphQL. But that's an add-on to everything else that Rails does; by contrast, Surikat was built, from the ground up, around GraphQL.

Writing the backend for GraphQL queries, in most existing frameworks, can be tedious and complicated. Surikat organises, simplifies and exemplifies all queries, and it even helps a lot with testing them. You always know how to call a query, even without introspection; Surikat is intuitive, and will always have an example handy.

Quick Start

$ gem install surikat
$ surikat new library

Once the Surikat app is created, follow the instructions; cd into the app directory, run rspec for tests, passenger start to start a web server, bin/console to try stuff out, etc.

Just type surikat to see what the command line tool can do.

Slow Start

Surikat operates with four concepts: Routes, Types, Queries and Models.

Models

Surikat is not an MVC framework; it lacks the V and the C. But it does use models, and in particular, the ActiveRecord library that Ruby on Rails was initially based on. If you're familiar with modern MVC frameworks, then you'll feel right at home with Surikat models.

Queries

With Surikat, Queries are simple Ruby code; you don't have to learn any complicated DSL or try to adapt to someone else's idea of what a GraphQL query definition should look like.

Each model file has a companion queries file, but you can also write your own queries. By using some simple conventions, and routes (see below), queries can easily be represented as simple methods:

class AuthorQueries < Surikat::BaseQueries
  def get
    Author.where(id: arguments['id'])
  end
end

Routes

Models and Queries are the only components of Surikat which require a programming language (Ruby). The other half are simple YAML files, which can be edited manually or programmatically. Routes describe the links between GraphQL queries (or mutations), and the queries method.

For example, the query method above might be routed thus:

Author:
    class: AuthorQueries
    method: get
    output_type: Author
    arguments:
      id: ID

Types

You'll notice in the route above that it mentions an output_type named Author. Just like routes, types live also in YAML files, and they are used to describe the data that goes in the app (input types), and the data that comes out (output types).

In the example above, the Author route calls the get method of the AuthorQueries class, and it formats its return (an Author database record) to match a given type. Case in point:

Author:
  type: Output
  fields:
    name: String
    created_at: String
    updated_at: String
    id: ID
    books: "[Book]"

These are all the fields that the frontend would have access to; a name of the type String, two timestamps which are also automatically cast as String, the record database id, and an array of books (which are, in turn, rendered in accordance to their own Book output type).

Examplifying Queries

Whenever you have a query, Surikat will tell you how it works, and it will even give you a curl command line to test it with:

$ surikat exemplify AuthorQueries get

Query:
{
  Author(id: 1) {
    name
    created_at
    updated_at
    id
    books {
      title
      created_at
    }
  }
}


curl command:
curl 0:3000 -X POST -d 'query=%7B%0A++Author%28id%3A+1%29+%7B%0A++++name%0A++++created_at%0A++++updated_at%0A++++id%0A++++books+%7B%0A++++++title%0A++++++created_at%0A++++%7D%0A++%7D%0A%7D'

Scaffolding

Surikat comes with a convenient scaffolding tool, which creates a model (with a database migration), a set of queries for it (to Create, Retrieve, Update and Delete), as well as the necessary types, routes and tests.

Example:

surikat generate model Book title:string

A Note About Ransack

Surikat comes with Ransack, so that when you retrieve a collection of ActiveRecord objects, you can already filter and sort them using Ransack search matchers.

Example query:

 {
  Authors(q: "is_any_good_eq=false&id_lt=20 ") {
    id
    name
    created_at
    is_any_good
    year_of_birth
  }
}

Custom Data

Sometimes you need to supply things to the frontend that don't come directly from the database. In fact, you can send anything you want; here are a few simple recipes:

1. To add an additional field to the ones already provided by the database, the easiest way is to define a method in the model.

   class Person < Surikat::BaseModel
     def favourite_number
       rand(10)
     end
   end

   Then, you can add favourite_number into the Author output type, and you're set.

2. If you need this field to have arguments:

   class Person < Surikat::BaseModel
     def square(num)
       num * num
     end
   end

   And in the query:

   {
     Person(id: 1) {
       square(num: 5)
     }
   }

3. Returning custom types is also easy. If you have an output type that defines the fields favourite_food and favourite_drink, all your query needs to do is to return a Ruby Hash that has those two keys.

   class MyQueries < Surikat::BaseQueries
     def favourite_stuff
       {
         favourite_food: 'air',
         favourite_drink: 'water'
       }
     end
   end

   This works for arrays, too. You can return an array of such objects, and use them in your output types using the brackets notation, for example [FavouriteStuffType].

Errors

As per GraphQL specs, application errors, type errors or model validation errors are returned inside a field named errors which is an array.

Arguments

In the queries, you always have access to the query arguments via the arguments helper:

class AuthorQueries < Surikat::BaseQueries
  def get
    Author.where(id: arguments['id'])
  end
end

Session

Session management is easy with Surikat. Simply carry around an HTTP header named 'Surikat' with a value that's as randomly unique as possible. You probably want to generate this value when your frontend app loads, then use it for all Surikat queries. As long as you send the same Surikat header, you'll maintain a session.

With curl:

curl 0:3000 -X POST -d 'query=%7B%0AHello%0A%7D' -H 'Surikat: 1234'

In the queries, you always have access to the session object via the session helper:

class AuthorQueries < Surikat::BaseQueries
  def play_with_session
    # store something in the session object
    session[:something] = 'Something'
    
    # retrieve something from the session object
    {
      name: session[:name]
    }
  end
end

Session Stores

The session store is configured in config/application.yml and it can either be a file, or Redis.

The file method is slower, and it gets slower as the file (which lives in tmp/) gets bigger. Needless to say, it also doesn't work to scale up the app across several machines.

Redis is much preferred especially in production; remember to add the redis gem to Gemfile. To configure it, use the url field in the same configuration file; that will be passed to the Redis initialisation method.

Authentication, Authorisation and Access

Surikat comes with triple-A, but it's not enabled by default. Rather, the files must be generated:

surikat generate aaa

This will create a User model (plus migration), a class called AAAQueries and a suite of tests.

The model will, by default, have three columns: email, hashed_password and roleids.

To create a user, use the password accessor.

$ bin/console

User.create email:'[email protected]', password:'abc'

Surikat will save a SHA256 digest for that password in the database.

To restrict a query to logged in users, add permitted_roles: any to its route.

To restrict a query to particular user roles (more about roles below), add for example permitted_roles: admin,superadmin to its route.

The AAA queries available to you are described in app/queries/aaa_queries.rb, including even query examples. In short, they are:

• Authenticate - you pass the email and password, and you get a boolean value; if the authentication succeeds, then a user_id will be stored in the session object, giving you access to the current user.

• Logout - self-explanatory.

• CurrentUser - returns the current user based on what's in session[:user_id].

• LoginAs - allows a superadmin to login as another user (more about superadmins in the Roles section below). During this time, the session will also contain :superadmin_id.

• BackFrom LoginAs - having logged in as someone else, return as the initial superadmin.

• DemoOne, DemoTwo and DemoThree - used by the rspec tests. If you delete them, please also delete the corresponding tests in spec/aaa_spec.rb.

Roles

Roles are simply identifiers stored, for a user, inside the roleids attribute, and comma-separated.

Before a query is executed, the content of its permitted_roles field (from its route) is evaluated. If it's any then a user of any role is allowed access. If it's a comma separated array of role identifiers, then access will only be granted if there's an intersection between those roles and the current user's.

Application Structure

A Surikat app has the following directory structure:

├── Gemfile
├── Rakefile
├── app
│   ├── models
│   └── queries
├── bin
│   └── console
├── config
│   ├── application.yml
│   ├── database.yml
│   ├── initializers
│   ├── routes.yml
│   └── types.yml
├── config.ru
├── db
│   ├── migrate
├── log
├── spec
└── tmp

• app - models and queries. That's where all the code you need to write will be. (Except for tests.)
• bin - just the console binary. Nothing to touch here.
• config - contains the database configuration, application configuration, and any initializers.
• db - migration files, database stuff.
• log - passenger logs
• spec - tests
• tmp - pid files, temporary stuff.

Testing

All the scaffolds come with running tests; just run rspec or, if you'd rather see some details, rspec -f d.

If you change the scaffolding, you need to change the tests, too.

Note: The intention was (and still is) to make autotests fully independent, so that they still test the scaffolded code even after you change it. However, because of field arguments, that's not exactly trivial. Hopefully a later release will come with a solution to this issue. Until then, you have to adapt the tests to your code changes "by hand".

Web Server

Surikat uses Phusion Passenger as a web server. Simply type

passenger start

to start a server on port 3000. Then you can use GraphiQL, curl or your actual frontend app to start querying the backend.

To start in production mode:

passenger start -e production

Demo

There's a small front-end "app" which may be used as a demo, in the frontend-demo directory, and it has its own README.

Benchmarking

To benchmark a Surikat app, you can use Apache Benchmark. For that, first save a query inside a file, for example:

$ cat surikat.query                                                                                                          ‹ruby-2.4.1›
query={Authors(q: "id_lt=10") {first_name}}

Then, start Passenger (see above) and invoke Apache Benchmark for example like this:

ab -k -c 10 -n 100 -T 'application/x-www-form-urlencoded' -p surikat.query  http://0:3000/

This runs 10 concurrent requests, to a maximum of 100 requests.

Benchmarking Results

Benchmarking tests were performed in the following conditions:

Machine: iMac 3.1 GHz Intel Core i7, 16 GB RAM (running macOS Mojave, 10.14) Database Server: MySQL 5.7.10 Database: 20,000 authors who together have 141,224 books Ruby: 2.4.1-p111

Surikat 0.3.1 versus Rails 5.2.1 with graphql 1.8.11 (latest at the time)

Surikat app: two auto-generated scaffolds (one for authors, one for books). Rails app: two models (Author and Book and minimal queries.)

Both apps use Ransack 2.1.0 in exactly the same way.

Both apps connected to the same database.

Only default values used everywhere else (no optimisations etc.)

Test 1.

Query:

{Authors(q: "id_lt=10") {first_name, books{title}}}

• Rails: 6.67 requests per second.
• Surikat: 9.70 requests per second.

Test 2.

Query:

{Authors(q: "id_lt=10") {first_name}}

• Rails: 164.86 requests per second.
• Surikat: 1,332.52 requests per second.

System Dependencies

For improved performance, Surikat uses a C++ library to parse GraplQL queries, libgraphqlparser.

On Mac OS X, install with Homebrew:

brew install libgraphqlparser

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

To install the gem locally: gem uninstall -x surikat && gem build surikat.gemspec && gem install surikat --no-ri --no-rdoc && ruby bin/postinstall

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/alxx/surikat.

Version

This code reflects version 0.3.2.

License

Author: Alex Deva ([email protected])

The gem is available as open source under the terms of the MIT License.