ScriptCore is a fork of Shopify's enterprise script service.

The enterprise script service (aka ESS) is a thin Ruby API layer that spawns a process, the enterprise_script_engine, to execute an untrusted Ruby script.

The enterprise_script_engine executable ingests the input from stdin as a msgpack encoded payload; then spawns an mruby-engine; uses seccomp to sandbox itself; feeds library, input and finally the Ruby scripts into the engine; returns the output as a msgpack encoded payload to stdout and finally exits.

I want to make these changes:

• Toolchain
  • Expose mruby build config to allow developer modify mruby-engine executable, e.g: add some gems
  • Expose mrbc to allow developer precompile mruby library that would inject to sandboxie
  • Watching and auto compiling mruby library when it change
  • Rake tasks for compiling mruby-engine & mruby library
  • Capistrano recipe
• Practice
  • Rails generator for mruby library
  • Find a good place for engines
  • Find a good way to working with timezone on mruby side
  • Find a good way to working with BigDecimal & Date (mruby doesn't have these) on mruby side
  • Consider about IO operations

Clone the repository.

$ git clone https://github.com/rails-engine/script_core

Change directory

$ cd script_core

Fetch submodules

$ git submodule update --init --recursive

Run bundler

$ bundle install

Preparing database

$ bin/rails db:migrate

Build mruby engine & engine lib

$ bin/rails app:script_core:engine:build
$ bin/rails app:script_core:engine:compile_lib 

Start the Rails server

$ bin/rails s

Open your browser, and visit http://localhost:3000

Add this line to your Gemfile:

gem 'script_core'

Or you may want to include the gem directly from GitHub:

gem 'script_core', github: 'rails-engine/script_core'

Then execute:

$ bundle

ScriptCore already has a default executable, because of mruby's gem is compiled in binary, or you may want to build a mruby library, build your own engine is necessary.

You can check spec/dummy/mruby as reference.

Run the task in your app directory:

$ rails script_core:engine:new [engine_name]

engine_name is optional, by default it would be mruby that will generate mruby directory in your app root folder.

Then execute:

$ rails script_core:engine:build [engine_name]

It will build mruby executables.

Remove .example extension for engine.gembox.example, customize it, then rebuild the engine.

Warning: because of seccomp, you may meet compatibility problems, especially for IO relates gems.

Write your own lib for mruby environment in mruby/lib directory.

Run the task in your app directory:

$ rails script_core:engine:compile_lib [engine_name]

Because of engine binaries are platform dependent, it's good to compile in every deployment.

Simply add mruby/bin to .gitignore.

You can wrap it for example:

module ScriptEngine
  class << self
    def engine
      @engine ||= ScriptCore::Engine.new Rails.root.join("mruby/bin")
    end

    def eval(string, input: nil, instruction_quota_start: nil, environment_variables: {})
      sources = [
        ["user", string],
      ]

      engine.eval sources, input: input,
                  instruction_quota_start: instruction_quota_start,
                  environment_variables: environment_variables
    end
  end
end

Then use it:

ScriptEngine.eval "@output = 'hello world'"

• Add /mruby/bin into .gitignore
• Don't do any IO in mruby side
• Because of seccomp, it may have compatible issues with some mruby gems
• mruby doesn't have Date, use Time instead
• mruby doesn't have BigDecimal, you can use Shopify's Decimal instead
• mruby is poor support timezone, you'd better handle it by yourself
• mruby engine is fast, usually it only costs 3 - 5ms depends on complexity, but it consume a lot of memory (~300k at least per process)

The input is expected to be a msgpack MAP with three keys (Symbol): library, sources, input:

• library: a msgpack BIN set of MRuby instructions that will be fed directly to the mruby-engine
• input: a msgpack formated payload for the sources to digest
• sources: a msgpack ARRAY of ARRAY with two elements each (tuples): path, source; the actual code to be executed by the mruby-engine

The output is msgpack encoded as well; it is streamed to the consuming end though. Streamed items can be of different types. Each element streamed is in the format of an ARRAY of two elements, where the first is a Symbol describing the element type:

• measurement: a msgpack ARRAY of two elements: a Symbol describing the measurement, and an INT64 with the value in µs.
• output: a msgpack MAP with two entries (keys are symbols): ** extracted with whatever the script put in @output, msgpack encoded; and ** stdout with a STRING containing whatever the script printed to "stdout".
• stat: a MAP keyed with symbols mapping to their INT64 values

When the ESS fails to serve a request, it communicates the error back to the caller by returning a non-zero status code. It can also report data about the error, in certain cases, over the pipe. In does so in returning a tuple, as an ARRAY with the type being the symbol error and the payload being a MAP. The content of the map will vary, but it always will have a __type symbol key that defines the other keys.

Run ./bin/rake to build the project. This effectively runs the spec target, which builds all libraries, the ESS and native tests; then runs all tests (native and Ruby).

To rebuild the entire project (which is useful when switching from one OS to another), use ./bin/rake mrproper.

The sample script bin/sandbox reads Ruby input from a file or stdin, executes it, and displays the results.

You can invoke ESS from your own Ruby code as follows:

result = ScriptCore.run(
  input: {result: [26803196617, 0.475]}, # <1>
  sources: [
    ["stdout", "@stdout_buffer = 'hello'"],
    ["foo", "@output = @input[:result]"], # <2>
  ],
  instructions: nil, # <3>
  timeout: 10.0, # <4>
  instruction_quota: 100000, # <5>
  instruction_quota_start: 1, # <6>
  memory_quota: 8 << 20  # <7>
)
expect(result.success?).to be(true)
expect(result.output).to eq([26803196617, 0.475])
expect(result.stdout).to eq("hello")

• <1> invokes the ESS, with a map as the input (available as @input in the sources)
• <2> two "scripts" to be executed, one sets the @stdout_buffer to a value, the second returns the value associated with the key :result of the map passed in in <1>
• <3> some raw instructions that will be fed directly into MRuby; defaults to nil
• <4> a 10 second time quota to spawn, init, inject, eval and finally output the result back; defaults to 1 second
• <5> a 100k instruction limit that that the engine will execute; defaults to 100k
• <6> starts counting the instructions at index 1 of the sources array
• <7> creates an 8 megabyte memory pool in which the script will run

Consists of our code base, plus seccomp and msgpack libraries, as well as the mruby stuff. All in ext/enterprise_script_service

Note: lib seccomp is omitted on Darwin.

Ruby code is in lib/

• GoogleTest tests are in tests/, which also includes the Google Test library.
• RSpec tests are in spec/

• There is a CMakeLists.txt that's mainly there for CLion support; we don't use cmake to build any of this.
• You can use vagrant to bootstrap a VM to test under Linux while on Darwin; this is useful when testing seccomp.

git submodule update --init --recursive

$ vagrant up
$ vagrant ssh
vagrant@vagrant-ubuntu-bionic-64:~$ cd /vagrant
vagrant@vagrant-ubuntu-bionic-64:/vagrant$ bundle install
vagrant@vagrant-ubuntu-bionic-64:/vagrant$ git submodule init
vagrant@vagrant-ubuntu-bionic-64:/vagrant$ git submodule update
vagrant@vagrant-ubuntu-bionic-64:/vagrant$ bin/rake

Bug report or pull request are welcome.

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

Please write unit test with your code if necessary.

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